There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
Investigator | Institution | Keywords |
---|---|---|
1 1 | 中南民族大学 | study |
6 78 | National Taiwan University | starrain0819 |
a a | a | a |
A G Varun Yadiyala | JSS science and technology university, Mysore | Alzheimer's disease early detection, 3D DWT, classification techniques |
A N M BAZLUR RASHID | Edith Cowan University | Alzheimer's disease, detection, big data, machine learning, data mining |
A. Hasib Uddin | Khulna University | Neural Networks |
AA BB | CJLU | 123456 |
Aadarsh Choudhary | Bengal College of Engineering and Technology, Durgapur | Alzheimer's Disease |
Aadi Cui | FIU | Hippocampus Segmentation, Alzheimer's disease |
Aadit Kapoor | NIH | Machine Learning, Artificial Intelligence, CNNs, Similarity Learning |
Aaishwarya Gaikwad | Pimpri Chinchwad College of Engineering, Pune. | Deep Learning, Dementia |
Aakash Gnanavel | Vellore Institute of Technology | CNN, MATLAB, ALZHEIMER DISEASE |
Aakash Mohite | VESIT | Alzheimer, Dataset, training |
Aakash Shah | Vishwakarma Government Engineering College | Our aim is to unify the diverse data for early diagnostic biomarkers for Alzheim |
Aalaa Sehsah | Menofia University | Alzheimer disease, machine learning methods |
Aalfin Emmanuel Santhanarajan | Korea Maritime and Ocean University | AD Diagnosis |
Aamir Ansari | Univ.AI | MachineLearrnig Research Study Artificial Intelligence |
Aamir Farooq | techtip | covid in adni |
Aamir Mehmood | Shanghai Jiao Tong University | neurodegenrative imaging ADNI |
Aamir Sattar | Shenzhen Institute of Advanced technology Chinese academy of Sciences | white matter, segmentation |
Aamna AlShehhi | Khalifa University of Science and Technology - MIT | Autoencoder, Multi-model deep learning , AD risk factors |
Aana Kakroo | VIT Chennai | substantia nigra, image segmentation |
Aanchal Mathur | George Mason University | Machine learning, biomarkers, undergraduate |
Aarav Jani | Georgia Institute of Technology | Clinical Trials, SQL, Pharmaceuticals, Database |
Aaron Alexander-Bloch | University of Pennsylvania | Brain Charts, Normative models |
Aaron Kujawa | King's College London | Whole Brain Parcellation, segmentation, deep learining |
Aaron Lim | University of Southern California | Race, Ethnicity |
Aaron Loh | University of Toronto | neuroimaging |
Aaron Molstad | University of Florida | ordinal regression; prediction; multi-omics |
Aaron Nguyen | Simon Fraser University | Alzheimer, AI, Machine Learning |
Aaron Scheffler | University of California, San Francisco | biostatistics |
aaron schneider | University of Iowa | Alzheimer's, Sleep, Sleep quality |
Aaron Toporek | Georgia Institute of Technology | Alzheimer's, gene expression, machine learning |
Aarush Suryanarayanan | Devi Academy Senior Secondary School | Dementia, AI/ML |
Aarya Panchal | MIT-ADT UNIVERSITY | Deep Learning |
Aaryan Pugazendhi | Millburn High School | Alzheimer's disease, joint mixed-effects models, random forests classifiers |
Aasa Feragen | Technical University of Denmark | Computer aided diagnosis, bias/fairness, demographic groups |
AASBAN GIFTSON S | Karunya Institute of Technology and Sciences | Deep learning AI |
Aayush Anand | Padre Conceicao College of Engineering | Synthetic Data Generation |
Aayush Jadhav | Liverpool John Moores University | Deep Learning, Computer Vision, Vision Transformers, Automation, Novel Framework |
Aayush Manoj Tirmalle | University of Heidelberg | MachineAndDeep_Learning |
Aayush Manoj Tirmalle | University of Heidelberg | MachineAndDeep_Learning |
Aayush Prasad | IIT Kharagpur | AD, Disease progression, MR data, multiple timepoints |
Aayush Sheth | Douglas Mental Health University Institute | Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease |
ab alen | Central South University | deep learning |
ab cd | nna | 123 |
Abass Alavi | University of Pennsylvania | FDG-PET, depression, Alzheimer's Disease |
Abbas Alatrany | Liverpool John Moores University | GWAS, Transfer learning, Alzheimer’s disease |
Abbas Hasan | University of Bahrain | Alzheimer |
Abbas Hassin | Basra University | Alzheimer disease |
Abbey Goodyear | National Institutes of Health - NIBIB | DTI |
Abby Brand | Washington University School of Medicine | Plasma AB, FNIH, amyloid PET |
abd elazeim abd alla mohamed nour | south east university | MRI,AD,MCI |
Abdel Malek ATCHI | Ecole Nationale Polytechnique | Alzheimer, machine learning, classification |
Abdela Ahmed Mossa | Cukurova University | ADNI dataset request |
Abdelazim Hussien | Linkoping University | ADNI |
Abdelfetah MAAMRA | Limonecetto | CNN |
abdelhamid helali | university of Monastir | deep learning, lstm |
Abdelhamid TALBI | HBKU | AD Detection Using DL |
Abdelkader BOUREGAG | Georgetown | data, 404 challenge |
Abdelkader FELLAGUE | University of Hassiba BENBOUALI Chlef | Alzheimer's disease, Dementia |
Abdelkader Khemir | ESPRIT | Alzheimer, Machine Learning, Python |
Abdelouahab Moussaoui | Ferhat Abbas University, Sétif 1 | self-supervised learning |
Abderazzak Mouiha | Euromed university | ADNI, MCI, Control, Mixed models, Joint modeling |
abderrahmen samar | enetcom | . |
Abdesalam Amrane | CERIST | ADNI; CAD |
abdessamad hammouche | independant | MRIs |
Abdesselam Ferdi | Frères Mentouri Constantine 1 University | MRI, denoising |
abdiaziz mohamud | none | Alzheimers |
Abdol-Hossein Vahabie | University of Tehran | Deep learning, MCI, Alzheimer, diagnosis, |
Abduelhakem Shubar | Multimedia University | Dementia, Machine Learning, Diagnosis, dementia prevention, dementia prediction |
Abdul Basit Ahanger | Islamic University of Science and Technology | Alzhimer |
Abdul Dayyan | COMSATS University Islamabad, Lahore campus | Deep Learning, ADNI, Alzheimer's |
Abdul Hakim Johnson | University of Illinois at Urbana-Champaign | undergraduate thesis, deep learning, classification |
Abdul Jabed Tayem | university of jordan | alzheimers |
abdul jaleel | slef | Deep Learing classification |
Abdul Jaweed | Innomatics Research Lab | for my personal cnn project |
Abdul Mubeen m | Sathyabama university | Alzheimers Disease detection |
Abdul Nafey Mohammed | University of Leicester | Alzheimer disease identification based on convolutional neural network |
Abdul Qayyum | Burgundy University, France | Machine Learning, EEG, Classification |
Abdul Rafay Rafay | PAF-KIET | Machine learning |
Abdul Rehman | Gachon University | Artifical intelligence, Medical images |
Abdul Subhan | Dayananda Sagar College of Engineering | dementia, alzheimer's disease, detection |
Abdul Wahab | Chonbuk National University, Jeonju, South Korea | Dataset, Kaggle |
Abdul-Mojeed Ilyas | cityu | deep learning |
Abdulazeez Tijani | University of Ibadan | Alzheimer disease convolutional neural network |
Abdulaziz Samra | Skoltech | DWI MRI |
Abdulaziz Samra | Skoltech | DWI MRI, BOLD, Multimodal DL |
Abdullah Al Shafi | North South University | Deep Learning, Knowledge Distillation, Alzheimer's disease detection |
Abdullah Ali | Swarthmore College | Imaging Genetics, AV1451-Tau, PET |
Abdullah Baktash | University of Telafer | Alzeheimer disease classification, CNN, image processing |
Abdullah Jaffer | NUST | Deep learning |
abdullah kepenek | sakarya ünivercity | MRI,ALZHEİMER,IMAGE PROCESSING |
Abdullah Nadir | IMS | AD Biomarker |
Abdullah Shakeel | University of Management and Technology | ADNI |
Abdulmunaim Eid | Houston Methodist Hospital | FDG PET, AD, healthy controls |
Abdulrahman Khalaf | University Putra Malaysia | deep learning |
Abdultawwab Ibiyeye | Federal Polytechnic, Offa | Alzheimer, Machine Learning |
Abdulwahid Shariff | Middle East College | Machine Learning, Manifold Learning, Diagnosis, Alzheimer Disease |
Abdulyekeen Adebisi | Kyungpook National University, Daegu, Republic of Korea | Alzheimer's disease, dementia, MRI, PET |
ABDUR RAQUIB RIDWAN | Illinois Institute of Technology | Registration |
Abdur Rashid Tushar | Bangladesh University of Engineering and Technology | AD NC MCI |
Abdurrahim Akgündoğdu | Istanbul University-Cerrahpasa | Vit, classification |
Abdurrahman Elbasir | Wistar Institute | Data Analysis, Machine Learning, Challenge, Genetech |
Abeer Obeid | Jordan University of Science and Technology | digital image processing |
Abel Belachew | University of Tennessee Health Sciences Center | 1621 |
Abel Guimaraes | Ryerson | deep learning, Alzheimer’s Disease |
Abhay Wagh | Walchand College of Engineering, Sangli | ML, dataset, research |
Abhi Agarwal | Health Banyan | Medical |
Abhijit Banerjee | Dr. B C Roy Engineering College, ECE | Deep Learning, Classification |
Abhijith Bailur | SJCE Mysore | MRI |
Abhijith J | College of engineering, Trivandrum | Alzheimer's image processing |
Abhijot Sidhu | University of Calgary | Functional Connectivity, Healthy Brain Aging, Resting-state fMRI, Segregation |
Abhilash Sharma | Lovely professional University | Alzheimer's |
ABHILASHA JOSHI | mnit,jaipur | dieases analysis learning technique |
Abhimanyu Singh | DIAT | Machine Learning, Deep Learning |
Abhinaba Chatterjee | Weill Cornell Medical College | Deep learning |
Abhinav Bichal | Att intern | Machine learning model, Biomarkers, Correlations, Data Scientists |
Abhinav Pasula | Academy of Science | Machine learning, Alzheimer's, neuroimaging |
Abhinav Pusuluru | Gaudium | Prediction ,Alzheimer's |
Abhinav Reddy | Dupont Manual | Machine Learning |
Abhinav Vadlamani | Albert Einstein College of Medicine | Alzheimer's, MRI, PET, CNN, Diagnosis, Transfer Learning |
Abhishek Appaji | B. M. S. COLLEGE OF ENGINEERING | Machine learning, Alzheimer disease, stress, MR |
Abhishek Bal | Calcutta University | PET datasets, brain |
Abhishek Bal | FIEM | Medical iamages processing |
Abhishek Bhardwaj | Indian Institute of Technology Mandi | Deep Learning, MRI, CT, Image Translation |
Abhishek Deokar | Walchand College Of Engineering | CNN model, ADNI Dataset |
ABHISHEK GUPTA | UNIVERSITY OF YORK | Alzehimers Disease |
Abhishek Kaul | Washington State University | Imaging data, longitudinal |
Abhishek Kumar | Chandigarh University | Alzheimer’s Disease Detection |
Abhishek Maruturi | Legato | Healthcare |
Abhishek More | Manchester Metropolitan University | Master's Dissertation |
Abhishek Nan | University of Alberta | Image registration |
Abhishek Pal Majumder | Singapore University of Technology and Design | Longitudinal data analysis, Gaussian process prior, Bayesian inference |
Abhishek Prabhu Panemangalore | National Institute of Mental Heath and Neuroscience India | DTI, diffusion scalar metrics, fMRI |
Abhishek Reddy G | MS Ramaiah Institute of Technology | MCI, AD |
Abhishek Reddy G | MS Ramaiah Institute of Technology | MCI, AD |
Abhishek Tiwari | Shiv Nadar University | DMRI. FMRI, MRI |
Abhishek Tiwari101 | Shiv Nadar University Delhi NCR | Alzheimer's disease, Deep Learning |
Abhishek Walinjkar | VCET | AD,MRI, T1 |
abhishekh sawner | jabalpur engineering college jabalpur | alzheimer detection |
Abhisikta Pal | SRM Institute of Science and Technology | Deep learning, CT synthesis from MRI, RUN network, Alzheimers disease prediction |
Abhithesh Ramachandran | Mangalore Institute Of Technology And Engneering | AIML,Alzhei |
abi s | Kumaraguru college of technology,coimbatore | prediction |
Abigail Mitchell | Belmont University | Emotion, Cingulate Cortex, Dementia, Neurofilaments, MMSE |
Abin R | Cusat | Alzheimer's |
Abiola Adewale | University of Suffolk | Dementia Deep Learning |
Abir Barbara | Université Sorbonne Paris Nord | machine learning, MultiModal data, data science |
Abir Hadrich | higher institute of computer science and multimedia of sfqx | ADNI ALZHEIMER FEATURES EXTRACTION |
Abir TROUDI | Biophysics and medical technology research laboratory | working memory, fMRI, HARDI, tractography, Alzheimer disease |
Abirami D | Sri G.V.G.Visalakshi college for women | Alzheimer disease, Data set |
Abirami Rathina | College of Engineering, Guindy | Machine Learning, Alzheimer's, Accuracy, Prediction |
Abish K | SRMIST, Ramapuram | AD- Alzehiemer disease |
Abol Basher | Chosun University | Alzheimer |
Abolfazl Torabi | Students'Scientific Research Center (SSRC) | machine learning |
Abraham Dutch | University of Kentucky | mutations |
Abraham Varghese | Hct | Ad,Modlbp,hypergraph |
Abramo Agosti | IRCCS Mondino Foundation | Neurodegenerative; Multimodal; Machine-Learning |
abrar akas | Jordan university of science and technology | `PARKINSON |
Abrar Faiyaz | University of Rochester | NODDI DLpN |
abu khan | Bangladesh University of Professionals | ml |
Abu Saleh Musa Miah | Bangladesh Army University of Science and Technology(BAUST)) | Alzheimer disease research, phd work. |
Abu Sayem | University of Dhaka | Alzheimer's disease;Magnetic resonance imaging;Classification;Support vector mach |
Abu Zahid Bin Aziz | Rajshahi University of Engineering & Technology | deep Learning, medical imaging |
Abubakhari Sserwadda | Istanbul Technical University | Geometric deep learning, GAN |
ace john | Harbin university of science | deep learning medical image |
ACHAIBOU Amina | Ecole national polytechnique d'alger | TEP , detection , neurodegenrative deseas |
Achlisum Muntachid | Yogyakarta Hospital | brain volume |
ACHOUR Dounia | University Mohamed khider BISKRA | diagnose Alzheimer's |
ACHRAF BENBA | ENSAM, MOHAMMED V UNIVERSITY | Alzheimer Disease |
achraf feydi | National institute of applied science and technology | Machine learning , diagnose |
AD tool | ZMU | study |
Ada Duong | CPP | Alzheimers |
Adair Valdivia | Universidad Autónoma Metropolitana unidad Iztapalapa | PET MRI ROI |
Adam Bernstein | University of Arizona | Thalamus, Deep Learning |
Adam Brickman | College of Physicians and Surgeons, Columbia University | white matter hyperintensities, PIB, amyloid |
Adam Datta | SWPS University of Social Sciences and Humanities | convolutional neural network, image identification, MRI, Alzheimer’s Disease |
Adam Diaz | N/A | N/A |
Adam Dugan | University of Kentucky | statistics; Alzheimer's disease; CSF |
Adam Forys | Roche | ADNI, Roche, dashboards |
Adam Konkol | University of Pennsylvania | educational, data science, convolutional neural network |
Adam Lang | SFVA/NCIRE | Brain Atrophy, Amyloid, Longterm Profiles |
Adam Lee | Capital Medical University | Alzheimer's disease; Neuroimaging |
Adam Markman | Invicro | medical imaging |
Adam Małota | University of Silesia | Neuroimagining |
Adam Mecca | Yale University | disease progression, medications |
Adam Parimucha | University of Žilina | Alzheimer's disease, machine learning |
Adam Podhorski | CEIT and Tecnun (University of Navarra) | PET, Machine Learning, Alzheimer disease |
Adam Raikes | University of Arizona | event-based modeling; MRI; diffusion |
Adam Schwarz | Takeda Pharmaceuticals | Alzheimers, imaging, clinical trials, biomarkers |
Adam Schwarz | Qynapse | imaging, biomarker |
Adam Sturge | University of Oxford | genomic ,association, treatment, genetic |
Adam Sulemanji | Texas A&M University | Statistics, Research, Modeling, Scanning, Data |
Adam Thomas | NIMH | QA |
Adam Von Ende | Oxford University | neurofilament light chain, dementia |
Adam Woods | University of Florida | tDCS, computational modeling |
Adanna Vardian | George Mason University | explainability |
adarsh v kumar | creopedia business intelligence | deep learning |
Adarsh Valoor | NIT Trichy | Explainable AI, CDSSs, Curvelet Transform |
Adea Rich | Brown University | plasma p-tau plasma Aβ40/42 structural MRI brain atrophy patterns executive br |
Adeel Akram | COMSATS University Islamabad | machine learning, deep learning, medical image registration |
Adeel Razi | Monash University | resting state fMRI, depression, brain connectivity, DCM |
Adeem Akhtar | Forman Christian College University (A Chartered University) | Longitudinal, Progression, Classification, Prediction |
Adegoke Ojewole | Genentech | Machine learning, regression, classification |
Adel Salehian | semnan university of medical science | MIND diet, Mental disorder |
Adelia Chindranata | University College London | GenNet, phenotyping |
ADEM ALBAYRAK | Alzheon | APOE4, RAVLT |
Adem KESKİN | kastamonu university | deep learning |
Aden Northcote | University of Technology Sydney | Spiking Neural Network, Deep Learning, Computer Assisted Diagnosis |
Adham Abdalmageed | University of Southern California | ADNI |
Adhika K Rajesh | College of Engineering Trivandrum | Alzheimer's detection |
Adhika Rajesh | College of Engineering Trivandrum | 7DZ39 |
Adhiraj Singh | St.xavier's College | research deep learning CNN LSTM |
Adhitya Parthasarathy | Vellore Institute of Technology, Chennai | Alzheimer's, Convolutional Neural Networks |
Adiba Masud | Jahangirnagar University | DWT,NIA,CNN |
Adichan Chuajinda | Siriraj hospital | Dementia risk |
Adil Ghafoor Mian | Mihaela van der Schaar Lab | Ethical AI, design transparency, medical discrimination, data diversity |
Adil Javed | University of Chicago | atrophy controls MS |
Aditi Chakravarthy | ramaiah institute of technology | Alzheimer's, Alzheimers, detection |
Aditi Deshpande | Aditi Deshpande | cerebral vasculature, time of flight |
Aditi Gupta | KUMC | Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI |
Aditi Gupta | NIT Raipur | Machine Learning, Alzheimer |
Aditi Mittal | NMIMS | Alzheimer's disease,Markov model,disease modifying therapy,donepezil,predementia |
Aditya Aryan | Manipal University Jaipur | data science |
Aditya Bose | Manipal University Jaipur | GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data |
Aditya Chebrolu | Brain Health Alliance | PET, MRI, co-registration, image fusion |
Aditya Krishna | IIT ROORKEE | Early Alzheimer Detection, Deep Learning |
Aditya Krishna | IIT ROORKEE | Early Alzheimer Detection with Deep Learning, Convolutional Neural Networks |
Aditya Kumar | BMSCE | AD, Prediction, Classfification |
Aditya Nemali | University of magdeburg | ML, neuroimaging |
Aditya Pramar | Indian Insitute of Information Technology, Allahabad | CNN, AlexNet, ResNet, VGG16, DenseNet |
Aditya Raj | The Ohio State University | Alzheimer detection |
Aditya Saxena | Bharati Vidyapeeth College of Engineering | AD Classification and Detection |
Aditya Srivastava | Delhi Technological University | Medical image classification, Alzheimer’s disease, CNN, Deep Learning, Brain MRI |
Aditya Trivedi | Nitte Meenakshi Institute of Technology | Machine Learning , Alzheimer's disease |
Adnan Alahmadi | King Abdulaziz Univeristy | rsfMRI AD Funcional Connectivity |
Adnan Haider | GIKI | 2288 |
Adnan Hirad | University of Rochester | Diffusion MRI, Biomechanics, |
Adolfo Jiménez-Huete | Hospital Ruber Internacional | Differential diagnosis; Gray matter volumetry |
Adolfo Jiménez-Huete | Clínica Universidad de Navarra | Subjective memory complaints, Cluster analysis |
Adrià Casamitjana | UCL | MRI, preclinical, machine learning |
Adrian AVILA | Universidad Autonoma de Sinaloa | Alzheimer´s Disease |
Adrian Dalca | Massachusetts Institute of Technology | medical image analysis, genetics, DREAM challenge |
Adrian Heeger | University Hospital Düsseldorf, Germany | brain atrophy, automated workflow, brain aging, brain volume |
Adrian Noriega de la Colina | Université de Montréal | Prevention, Aging, Vascular, Risk Factors |
Adrian Ruiz-Chiapello | Centre National de la Recherche Scientifique (CNRS) | braak stages, AV1451 cortical uptake, connectivity |
Adrián Valverde | Universidad de Sevilla | Alzheimer’s disease; MCI;hippocampal region; |
Adrian Vegas | Universidad de Granada | image segmentation |
Adriana Kosowski | Le Wagon | Alzheimer, data science, MRI, brain, study |
Adriana Lori | Emory University | Alzheimer Disease, neuropsychiatric symptoms, genetics |
Adriana Pérez Sánchez | Tecnológico de Monterrey | Morphometry |
Adrianna Kozierkiewicz | Wrocław University of Science and Technology | machine learning, AI, interventions, factors, prediction |
Adriano Barbosa da Silva | Queen Mary University of London | Machine Learning, Artificial Intelligence, Prediction |
adriano de simone | università degli studi napoli federico II | Data |
Adriano Veloso | Universidade Federal de Minas Gerais | Deep Learning |
Adrienne Dula | Dell Medical School at the University of Texas Austin | Alzheimer’s disease, cerebrovascular flow, sex |
adsad asdhkjashd | Stanford | ML AI |
Advaith Somula | Amrita School of Engineering (Amritapuri) | Image Fusion |
Adwait Laud | Mukesh Patel School of Technology Management and Engineering | Data set request |
Adwitia Majumder | COGNIZANT | ADNI DATA |
Adwitiya Singh | Manipal University | 3d Siamese network for Alzheimer detection using large unbalanced MRI datasets |
Aekapop Bunpeng | Burapha University | Alzheimer 's disease classification , cnn |
Afnan Alhassan | Shaqra University | sMRI, AD, OTSU segmentation, EFEHO, DA-MIDL. |
Afnan Alqarni | Wayne State University | Alzheimer’s disease |
Afreen Khan | Aligarh Muslim University | Machine learning, deep learning, prediction, big data, modeling, analysis |
Afroditi Lalou | University of Cambridge | normal pressure hydrocephalus |
afsal cp | Pondicherry University | Detection of Alzheimer's |
Afsana Ansari | MIT Academy of Engineering, Dehu Phata, Alandi (D) | Machine Learning, AD prediction, early stage |
Afshan Hashmi | Jamia Hamdard | Deep learning, Alzheimer |
Aftab Alam | Hazara university mansehra | no |
Agamdeep Chopra | University of Washington | Deep Learning, MRI, Computer Vision, PET |
Agampreet Kaur | Thapar Institute of Engineering & Technology | Alzheimer’s, deep learning model, stage of disease, diagnosis |
Agniswar Chakraborty | Jadavpur university | Jadavpur University |
Agoston Mihalik | University College London | brain-behaviour relationship, PLS, CCA |
Agrima Vashisth | Univeristy of Strathclyde | aberrant motor activity |
Aguiar Pablo | University of Santiago de Compostela | MRI, PET, quantification |
Agustín Ruiz Laza | Fundació ACE. Institut Català de Neurociències Aplicades | Alzheimer's disease, genetics, molecular pathways |
ahana priyanka | ANNA UNIVERSITY | dementia,MCI |
Ahana Roy Choudhury | Valdosta State University | CNN, classification, |
ahcen aliouat | university badji mokhtar of annaba algeria | deep learning, alzheimer |
Ahmad Aziz | German Center for Neurodegenerative Diseases | genome-wide association study, neurofilament light chain, Alzheimer disease |
Ahmad Farhad | Semnan University | Alzheimer’s Disease |
Ahmad Ilham | Universitas Muhammadiyah Semarang | Alzheimer Predictiion, Machine Learning |
Ahmad Imam | William Carey University College of Osteopathic Medicine | Plasma Tau, Plasma Beta amyloid protein, Dementia, Machine learning |
Ahmad Jafarabadi | IRICSS | Alzheimer, Probabilistic Graphical Modeling, |
Ahmad O. Aseeri | Prince Sattam bin Abdulaziz University | deep learning, classification, Alzheimer |
ahmad pourmohammadi | isfahan university of medical sciences | MCI; Alzheimer's disease; clustering; machine learning; dynamic; |
Ahmad Reza Ehyaei | freelance | Deep Learning |
Ahmad Sebaq | Nile University | MRI, Super-resolution, deep learning |
Ahmad Waleed Salehi | Shoolini University | MRI, CNN, LSTM |
Ahmad Wisnu Mulyadi | Korea University | Deep Learning; AD Prognosis; |
Ahmadi Anis | Faculty of sciences of Tunis | Alzheimer's disease, machine learning |
Ahmadreza Azizi | Virginia Tech | deep learning classifier |
Ahmar Hasan Arish | National Institute of Technology Patna | CNN , RNN |
Ahmed Abdelhameed | UThealth | Survival analysis; Machine Learning, Bioinformatics |
Ahmed Abdulaal | University College London | Deep Learning, Causal modelling, Counterfactual analysis, Variational Inference |
Ahmed Abdulkadir | University of Freiburg | classification, machine learning |
Ahmed Albishri | University of Missouri - Kansas City | MRI, Segmentation, Deep learning |
Ahmed Alzahrani | King Abdulaziz University | ADNI, Deep Learning, CNN |
Ahmed Baig | University of Queensland | perceiver transformer, neural networks |
Ahmed Bouziane | Ecole Nationale Supérieure de Biotechnologie (ENSB) de Constantine | volumetric information, MRI super-resolution, deep learning, |
Ahmed Elazab | Shenzhen University | Alzheimer’s disease, Multimodal Data fusion |
Ahmed Elhussein | Columbia University | PheWas |
Ahmed Elkorany | faculty of electronic engineering, menoufia university | deeplinearning; classification, MRI |
ahmed elsayad | Mansoura University | big data, big data analysis , big data processing |
Ahmed Faeq Hussein | Al-Nahrain University | deep learning, multimodal |
Ahmed Ghorbel | INSA RENNES | #unsupervised #anomaly_segmentation #transfomer #healthy_reconstruction |
Ahmed Hemedan | Luxembourg university | boolean Parkinson disease map |
ahmed ibrahim | Mugla University | deep-learning, machine-learning |
Ahmed iqbal | COMSATS University Islamabad | Alzheimer, Desease, Detection |
Ahmed Khan | McGill University | disease progression, neurotransmitter receptors |
Ahmed Moustafa | Western Sydney University | Big data; clustering algorithms; genetic algorthim; optimization; subgrouping |
Ahmed Saeed | Tazi university | Alzheimer's disease diagnosis |
Ahmed Samir Alfaar | Charite medical university - Berlin | Brain Cancer, Alzheimer's |
Ahmed Sanin MV | Indian Institute of Science | human pose direction, landmarks in brain |
Ahmed Saqib | The Islamia University of Bahawalpur | Alzheimer |
Ahmed Soliman | Siemens Healthineers | Alzheimer Disease, Classification, Deep learning, PET imaging |
Ahmed Temtam | Old Dominion University | Alzheimer's disease, Classification ,Convolutional Neural Network |
Ahmed Thahab | University of Babylon | Dementia and skull stripping |
Ahmet Said Topuz | Necmettin Erbakan University | alzheimer disease diagnosis, machine learning |
Ahmet Yahya Senel | Argem High School İstanbul/Turkey | tumor, MRI, simulation, spread |
ahora hoooseyni | none | abc |
Ahsan Ali | Indian Institute of Technology Madras | Fornix, Hippocampus, Corpus Callosum, Lateral ventricle |
Ahsan Habib | Bangladesh University of Engineering and Technology | banana |
Ahsan Raza Siyal | University of Innsbruck | machine learning |
Ahsan Saleem | University of Engineering and Technology | Alzheimer FMRI |
AHSAN TUFAIL | HARBIN INSTITUTE OF TECHNOLOGY | PET, DEEP LEARNING, CONVOLUTIONAL NEURAL NETWORKS |
AHSAN TUFAIL | NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY, ISLAMABAD | Deep learning, data augmentation, interpretability, MRI, PET, CT |
ahui shang | dalian medical university | 1YE18 |
Ai Zhang | Hebei University of Technology | Real brain model |
Aida Ayati Afin | Mashhad university of medical sciences | MRI, deep learning, Alzheimers disease |
Aidan Bindoff | University of Tasmania | biomarkers, cognitive decline, dementia |
Aidan Chan | The University of Hong Kong | Alzheimer's |
Aidana Massalimova | Nazarbayev University | alzheimer's, deep learning |
Aidi Chen | Communication University of China | Brain tumour |
Aigerim Dautkulova | Clarmont Auvergne University | subcortical |
Aiham Taleb | Hasso-Plattner-Institute, University of Potsdam | Machine Learning, Predictive modeling, Unsupervised Learning |
Aijun Yang | University of Victoria | imagine data |
Aikaterini Karampasi | NTUA | segmentation, pathologic, variability of protocols |
Aikaterini Melliou | Tsinghua University | visual transformers, fMRI, ASD |
Ailar Mahdizadeh | University of British Columbia | functional connectivity |
aima si | xianjiaotong university | cognitive impairment,modeling analysis,regression |
Aiman Lameesa | Asian Institute of Technology | image, classification, brain, disease, slice |
Aiman Mujtaba Khan | Halmstad University | Dementia, Alzheimers, Parkinson, Lewy Bodies Dementia, PET Scan, |
Aimee Karstens | University of Illinois, Chicago; Mayo Clinic, Rochester | APOE, Alzheimer's disease, African American |
Aina Rodrigo Alomar | University of Alicante | University project, study disease, help alzheimer patients |
Ainesh Sewak | University of Zurich | receiver operating characteristic, area under the curve, transformation models |
Aishee Dasgupta | Chennai mathematical Institute | TDA |
Aishvarya G | PSG College of Technology | AlexNet,CNN |
Aishwarya P | Student | ADNI |
Aishwarya R | Chennai Mathematical Institute | TDA Project |
Aishwarya Sahoo | Vivekanand Education Society's Institute of Technology, Mumbai | cnn, deep-learning, alzheimer-detection |
Aisling Kelly | University College Dublin | Neural network mri dementia alzheimers |
aitao zhang | Hebei Medical University | machine learning method,the diagnosis of AD |
Aiyana Cubias | Niji Corp | Alzheimers |
Ajay Agarwal | DIT University | Alzheimer's Disease, Progression |
Ajay Nemani | Cleveland Clinic | fMRI, network, connectivity |
Ajay Sharma | Symbiosis Institute of Technology | Data Science |
Ajinkya Indulkar | Radboud University | Ensemble Techniques, TADPOLE |
Ajinkya Mulay | Purdue University | kaggle, genentech |
Ajith Kumar Ganesan Govindasamy | VasoGnosis | Deep learning, wGANs, Gan Data Augmentation |
Ajmala Rasheed Chandana Parambil | Digital University Kerala | Deep learning, CNN, image processing, computer vision, machine learning |
Akadej Udomchaiporn | King Mongkut's Institute of Technology Ladkrabang | Deep Learning |
akane obata | fujita health university | delta radiomics features |
AKANKSHA PARIHAR | RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALAYA | Stages of dementia, Early detection, Machine learning, Classification |
AKAR GAUTAM | thapar university | neurodegenerative imaging |
Akash Kadam | Dublin business school | MRI Images, Deep learning, Classification |
Akash Mehta | University of Calcutta | Attention, Multi-modal, Deep Learning, Computer Vision |
Akash Mishra | JIPMER | Discriminant Analysis |
Akash Parvatikar | University of Pittsburgh | class project |
Akash Raj | Manipal University Jaipur | dementia , alzheimer |
Akash Shroff | Northwestern University | Deep Learning, Early AD, Keras |
Akhil Bakhshi | KCL | Schizophrenia |
AKHIL SAI PADIDARAPU | VRSEC | On the design of convolutional neural networks for automatic detection of Alzhei |
Akhil Surendran | VIT-AP University | dementia, alzheimers, prediction, image segmentation |
Akhil U | AMrita College of Computing | Segmentation,U net |
Akhila Madhu | PES University | Research |
Akhila Perumalla | DDH | Resting state MRI |
Akhilesh Arya | Manipal University Jaipur, Rajasthan India | Alzheimer's Disease, AD, MCI, Neuro-degenerative |
Akhilesh Hari | Cognizant Technology Solutions | Study, Alzheimer, Analyze |
Akhilesh Tripathi | kamla Nehru Institute of Technology,Sultanpur | Neurological Disorder Prediction, Alzymer Data |
Akhilome Andrew | Lagos state University of Science and Technology | Dementia Datasets |
Akhyar Ahmed | University of Potsdam | Demetia, AI, Machine Learning |
Akihiko Shiino | Shiga University of Medical Science/Japab | voxel-based morphometry |
Akihiro Hirakawa | Tokyo Medical and Dental University | Biostatistics |
Akihiro Kakimoto | Morinomiya University of Medical Sciences | teaching, image analysis, deep learning |
Akihiro Mizoguchi | JSR Corporation | biomarkers |
Akihiro Takamiya | Keio University School of Medicine | MRI, brainage, aging |
Akihito Takeuchi | Kyoto University | Alzheimer's disease |
Akila Weerasekera | Harvard Medical School | mri volume brain dementia |
Akira Narita | Tohoku University | Risk prediction |
Akmal Jahan MAC | SEU | deep learning |
Akram Abdelkarim | King Fahd University of Petroleum and Minerals | disease progression, time series analysis, MRI |
Akriti Nigam | Birla Institute Of Technology, Mesra, Ranchi, India | Neural Networks, Alzheimer’s |
AKS LKS | IUSKM | Deep,learning |
Aksh Chaudhary | Graphic Era Deemed to be University | research project brain-age-estimation |
Akshat Bishnoi | Mukesh Patel School of Technology Management and Engineering, NMIMS, Mumbai | alzheimers, early detection, PET scans, CNN, longitudinal analysis |
Akshay Daydar | IITG | Data analytics, Disease prediction |
Akshay Deshpande | University of Queensland | machine learning, artificial intelligence, healthcare |
Akshay Dhayal | NITK Surathkal | Image segmentation, Alzheimer, ML |
Akshay Iyer | Worcester Polytechnic Institute | Alzheimers, brain MRI scans, image analysis, artificial intelligence |
Akshay Kumar | Northwestern University | early Alzheimer detection, Alzheimer prevention, Deep learning |
Akshay Margale | Student | Neural network model |
Akshay Mishra | UW Madison | Machine Learning, AD vs CN, fairness model |
Akshiti Parashar | Manipal Institute of Technology | Machine Learning, Combination of RNN and CNN, LSK algorithms, Rhythm band |
aku fire | FuZhou University | machine learning |
AKUL SUHAIL MALHOTRA | AMERICAN UNIVERSITY | DATA SCIENCE, ALZHEIMER'S DISEASE, MACHINE LEARNING, CLASSIFICATION |
Akul Suhail Malhotra | Core-CSI LLC | MACHINE LEARNING, DATA SCIENCE, IMAGE PROCESSING, ALZHEIMER PREDICTION |
Akurathi Jaya Naga Sri | University of Hyderabad | competing risks, mathematical modelling |
Al Shahriar Niloy | East West University | MRI, PET, Alzheimer, Deep Learning |
Al-yhuwert Murcia Tapias | Universidad Nacional de Colombia | Neurodegenerative, Biomarker |
Alaa Abukaresh | Istanbul Aydin University | Classification, Machine learning, Nifti files |
alaa belhadj | am a student | cnn |
Alaa Moh | thehs | AI |
Alaa Serhan | Aleppo University | Dataset , master , project |
Aladdin Shadyab | University of California San Diego | epigenetics, epigenetic clock, MCI, dementia, ADRD |
Alain Mignot | University of Southern California | Alzheimer's Disease Classification Using Volume Correlations and Multi-Atlas |
Alakananda Mukherjee | IIEST,Shibpur | Alzheimer's Disease, MRI,PET, MCI, DIP,ML |
Alakananda Mukherjee | IIEST,Shibpur | Alzheimer's Disease, MRI,PET, MCI, DIP,ML |
Alaleh Ahmadianshalchi | Washington State University | Machine-Learning |
Alan Alwakeel | Stanton College Preparatory School | machine learning |
Alan Fendrich | Penn State College of Medicine | learning to preprocess PET data |
Alan Finkelstein | University of Rochester | Machine Learning, DIPY, tractography |
Alan Lin | Southwest Minzu University | Alzheimer's disease research |
Alan Padilla Campoy | Tecnológico de Monterrey | MRI, structural brain analysis, segmentation |
Alan Perotti | CentAI Institute | graph convolutional n-nets, deep learning, explainable artificial intelligence |
Alan Tucholka | Pixyl | neuroimaging, white matter hyperintensities, brain segmentation |
Alan Wang | Cornell University | anomaly detection, one-class classification, lesion detection |
Alan Wilman | University of Alberta | transverse relaxation, T2, dual echo spin echo, MRI |
Alana Manson | University of Kansas Medical Center | mild cognitive impairment, latent class analysis, Alzheimer's disease, sex |
Alannah Shaw | Banner's Alzheimer's Institute | APOE, BDNF, amyloid, tau |
ALAPATI DEVI ANSUHA | R.M.K COLLEGE OF ENGINEERING AND TECHNOLOGY | DETECTION OF SEPSIS |
Alba Carballo Castro | University of Seville | Machine Learning, Explainability, Causality |
Alba Laura Escarcega | UPIITA-IPN | CNN, ML, AI |
Albert Belenguer-Llorens | University Carlos III of Madrid | Mathematical Modeling, neuroimage, biomarker extraction, Alzheimer, Bayes |
Albert Clèrigues | Universitat de Girona | atrophy, pbvc |
Albert Montillo | University of Texas Southwestern | machine learning, prognosis |
Albert Pierce | Chapman University | Machine Learning, Data Science, Alzheimer, Alzheimers Disease |
Albert Piersson | University of Cape Coast, Ghana | MRI, biomarkers |
Albert Rodrigo Parés | BarcelonaBeta Brain Research Center | Longitudinal Analysis, ADNI |
Albert Yang | Beth Israel Deaconess Medical Center | power law, complexity, imaging genetics |
Albert Yang | National Yang Ming Chiao Tung University | neuroimaging; machine learning; neuropsychiatric correlates |
Alberto Ardura-Fabregat | Harvard medical school | convolutional neural network, U-Net |
ALBERTO BESTETTI | MULTIIMEDICA IRCCS | AI ALZHEIMER |
ALBERTO BESTETTI | UNIVERSITY OF MILAN | AI ALZHEIMER |
Alberto De Luca | UMC Utrecht | diffusion MRI, connectivity |
Alberto Espay | University of Cincinnati | Amyloid, soluble Abeta42 |
Alberto Fernández | Universidad Complutense de Madrid, Spain | APOE4, Amyloidosis, cognitive performace |
Alberto Moraes | Federal University of Uberlandia | imageJ, teaching |
Alberto Presta | Units | Thesis |
Alberto Redolfi | IRCCS Centro San Giovanni di Dio - Fatebenefratelli | Alzheimer's Disease, pipeline |
Albus William | csu | machine learning |
Aldaz Daniela | UTM | Deep learning. classifier. |
Aldaz Daniela | UTM | Deep learning. Classifier. |
Alden Gross | Johns Hopkins Bloomberg School of Public Health | psychometrics; harmonization; IRT; bayesian |
Aldiman Bakhti | Universitas Indonesia | Alzheimers, Artificial Neural network, classification, PET |
Aldo Camargo | University of Maryland of Baltimoree | Longitudinal study,ASL, PET-FDG, |
Aldo Cordova Palomera | Takeda | Neuroimaging, Genetics, Neurodegeneration |
Aldrén Martins de Queiroz Junior | Universidade Federal do Rio Grande do Norte | Computer Vision, Disease Alzheimer's |
Alecsander Terry | Georgia Tech | Alzheimer's |
Aleejandra Dorado | Politecnico Grancolombiano | alzheimer |
aleena thomas | b k birla college,kalyan | cnn,AD, |
Aleiah Mann | Texas State University | African American cognitive decline cortisol |
Aleix Sala-Vila | Fatty Acid Research Institute & IMIM | omega-3, neuroimaging, lipids, diet |
Alejandra Gomez | University of Texas at El Paso | A0]POE4 gener, hippocampus, MRI images, behavioral test results, demographics |
Alejandro Costoya-Sánchez | University of Santiago de Compostela | Alzheimer's Disease, PET imaging, tau pathology, Flortaucipir |
Alejandro I Trejo Castro | Universidad de Monterrey | Bioinformatics, Data Analysis |
Alejandro I. Trejo-Castro | Instituto Humanístico de la Salud | Alzheimer; Microbiome; Neuroimaging |
Alejandro Lucero | Instituto de Instrumentación para Imagen Molecular (i3M) | PET attenuation correction, CT images |
Alejandro Ramos Uparela | Universidad Rey Juan Carlos | ? |
Alejandro Roig | University of Salamanca | Convolutional neural network, classification, Alzheimer's disease |
Alejandro Rondon Ortiz | Boston University | tau, autophagy, aggregates |
Alejandro Santos | Tecnologico de Monterrey | Alzheimer's disease, deep learning, machin learning |
ALEJANDRO SEBASTIAN DELGADO FARIAS | Yachay Tech | Bioinformatics, bioimaing |
Alejandro Tortosa Molla | Universitat Oberta de Catalunya | Machine Learning, Alzheimer Disease |
Alejandro Trejo-Castro | Tecnologico de Monterrey | MRI, microbiota, metabolites, neuropsychological studies |
Aleksandr Khodinov | CERN | Human Brain Project, neuroscience |
Aleksei Tiulpin | University of Oulu | Deep Learning, Forecasting |
aleksey bukhalov | ITMO | cnn |
Alemu Sisay Nigru | University of Brescia | MRI image Retrieval |
Alena Fedarovich | Rancho Biosciences | Automated data curation; tool |
Alena Fedarovich | Contract Worker - GSK | molecular targets, treatment, patient stratification |
Alena Uus | King's College London | segmentation, multimodal |
Ales Psaker | The Governor's School at Innovation Park | Alzheimer's, Neural Networks, SVM, Detection Accuracy, Genetics |
Aleš Smrdel | Univerity of Ljubljana | EEG, classification, Alzheimer's disease, sample entropy |
Alesha Heath | Stanford | Variable Number Tandem Repeats, genetic association, biomarker prediction |
Alessandra Algieri | Politecnico di Bari | depression, 3D-CNN, binary classification, transfer learning |
Alessandra Dodich | University of Geneva | 18F-flortaucipir, positivity, tau deposition |
Alessandra Griffa | University of Geneva | longitudinal; tau; brain communication; multimodal |
Alessandro Alati | Università degli studi Roma Tre | Graduation thesys University Rome |
Alessandro Cicerale | Università degli Studi di Torino | Hippocampus, ml |
Alessandro Crimi | University of Zurich | radiogenomics |
Alessandro Crimi | Sano center for computational medicine | snp, genomics, tractography |
Alessandro Crimi | Sano center for computational medicine | snp, genomics, tractography |
Alessandro Nigi | University Medical Centre Utrecht | fMRI, denoising, thermal noise, fCNR, tSRN |
Alessandro Palombit | IXICO plc | dMRI, AD, validation, pre-processing |
Alessandro Palombit | IXICO plc | T1w, brain segmentation, QC, benchmark |
Alessandro Quercetti | Università Politecnica delle Marche | convolutional neural networks |
Alessandro Zilioli | University of Parma | VBM, parietal lobe, hippocampus, hippocampal subfields |
Alessia Atzeni | Queen Square Analytics | segmentation, atlas building, brain ageing |
Alessia Sarica | Neuroscience Research Center | Explainable Artificial Intelligence, Machine Learning, Neuroimaging, diagnosis |
Alessia Sgalia | UCL | Alzheimer, |
Alessio Chiaramoni | Università degli Studi di Torino | Machine Learning university project |
Alessio Iannizzotto | University of Pisa | supplemental material |
Alessio Perinelli | University of Trento | numerical simulation, head models, source reconstruction |
Alex Bahar-Fuchs | The University of Melbourne | Cognition, neuropsychiatric symptoms, mood |
Alex Berg | Massachusetts Institute of Technology | AD subtyping, representation learning, imaging genetics, SCCA |
Alex Campbell | University of Cambridge | deep learning, machine learning, fmri, diagnosis, unsupervised |
Alex de Crespigny | Genentech Inc | training, teaching |
Alex Doran | McGill University | DBS Alzheimer's |
Alex Fedorov | Georgia Institute of Technology | self-supervised learning, multi-modal, deep learning |
Alex Förster | Universitätsmedizin Mannheim | AD, crossed cerebellar diaschisis |
Alex Franco | AstraZeneca | ML, MRI |
Alex Hamedaninia | Bellevue University | alzheimer's |
Alex Jerves | Fundación INSPIRE | MRI, hippocampus, volume, level sets, convolutional neural networks |
Alex Kan | HBrain | corpus amygdaloideum, brain, human |
Alex Kan | HBrain | corpus amygdaloideum, brain, human |
alex Na | UNOMIC | MRI, hippocampus, NIFTI, segmentation |
Alex Newark | University of East Anglia | Graph Attention Network, Machine Learning, Multimodal, Alzheimer's |
Alex Reardon | University of California, Riverside | phenotype |
Alex Slaughter | Mount Sinai Hospital | neurocognition, structural integrity |
Alex To | University of Sydney | neuroscience |
Alex Tomlin | University of Louisville | Alzheimer's, dementia, cognitive decline, family history, cancer |
Alex Waldman | University of Oxford | multiple sclerosis, proteomics, aging, disability modeling |
Alex Watson | Freie Universität Berlin | AD, GANs, |
Alex Wheal | Astrazeneca | Machine Learning |
Alex Whittington | Invicro Ltd | TauIQ AmyloidIQ Analysis |
Alex Wolf | personagent | sdfsdg |
Alex Yahiaoui Martinez | Geneseng | Biomarker, Deep learning |
Alexa Haeger | RWTH University Hospital | FDG-PET |
Alexa Pichet Binette | McGill University | ICA, grey matter, aging |
Alexander Aksenov | UCSD | metabolomics |
Alexander Baumann | Technical University Munich | Shape Modeling |
Alexander Belden | Northeastern University | DTI, Music Based Intervention, auditory, reward |
Alexander Chang | Acupuncture, Moxiustion and Rehabilitation Clinical Medicine | Alzheimer' s disease, risk factors, diagnosis and treatment |
Alexander Clifford | University of East Anglia | Machine Learning, Longitudinal Analysis, Alzheimer’s Disease, Neuroimaging |
Alexander Fok | The Hill School | BAnD Lab |
Alexander Fomin | SPbSUT | GAN, Neural Nets |
Alexander Groh | University of Warwick | Regression, Classification, Alzheimer, Data Science |
Alexander Ivliev | Clarivate Analytics | amylin pathway |
Alexander Jarema | Alfred Health | Perivascular spaces, PVS, glymphatic system, convolutional neural networks, MRI |
Alexander Kachura | Lomonosov Moscow State University | topological data analysis, machine learning, neurobiology |
Alexander Kendall | Appalachian State University | Artificial Intelligence |
Alexander Koubaa | Westminster School / The Knowledge Society (Student Researcher) | MRI, CNN, prognostic prediction |
Alexander Kruschek | Winona State University | deep learning, research, Alzheimer's Disease |
Alexander Kulminski | DUKE UNIVERSITY | Alzheimer's disease, polygenic profiles, interaction, Apolipoprotein E |
Alexander Lavin | none | Alzheimer's prognosis |
Alexander Lin | Harvard University | classification, dictionary learning, low-resource |
Alexander Lundervold | Western Norway University of Applied Sciences | Machine learning |
Alexander McLain | University of South Carolina | Biostatistics, Machine Learning, High-dimensional analysis, Longitudinal Data |
Alexander Nyman | Sunnybrook Research Institute | Diffusion Weighted Imaging, Connectomics, |
Alexander Osborne | The University of Queensland | machine learning, neural networks, CNN, uncertainty quantification |
Alexander Rakowski | Hasso Plattner Institute | GWAS, Deep Learning |
Alexander Schliep | University of Gothenburg | Bioinformatics, clustering |
Alexander Schwinges | biotx.ai | mendelian randomization biomarkers meta-gwas |
Alexander seclen | Universidad Catolica Santo Toribio de Mogrovejo | Car999alex961196 |
Alexander Senko | Harvard School of Medicine | big data, machine learning |
Alexander Shevchenko | FEDERAL STATE AUTONOMOUS INSTITUTION N.N. BURDENKO NATIONAL MEDICAL RESEARCH CE | Alex4770919 |
Alexander Swiderski | university of pittsburgh | teaching, data visualization |
Alexander Telepov | Skoltech | neuroimaging, research, project |
Alexander Wait Zaranek | Curoverse Innovations, Inc. | WGS, Machine Learning |
Alexander Yu | Ryerson University | Predict , Alzheimer's , risk factors , individual, lifestyle, family,background |
Alexandra Badea | Duke University Medical Center | MRI, DWI, fMRI |
Alexandra Carvalho | Instituto Superior Tecnico | Time series analysis |
Alexandra Kueider-Paisley | Duke University | metabolomics |
Alexandra Mocanu | University of Bucharest | Machine Learning School Project |
Alexandra Reardon | Invicro | Alzheimers, imaging |
Alexandra Reichenbach | Heilbronn University | computational neuroscience, machine learning, pattern analysis, neural network |
Alexandra Vik | Haukeland university hospital, Helse Bergen | Machine learning, MRI, neuropsychological test, longitudinal analysis |
Alexandra Weigand | University of California San Diego | Alzheimer's, tau, PET, biomarkers, AT(N) |
Alexandra Weigand | University of California San Diego | Alzheimer's, tau, PET, biomarkers, AT(N) |
Alexandra Young | University College London | Disease progression modelling, Biomarker ordering |
Alexandre Andrade | IBEB - Faculty of Sciences Univ. Lisbon | Connectivity; biomarkers; MCI; multimodality |
Alexandre Bense | ETH Zürich | degeneration white matter prediction, deep learning |
Alexandre Bône | Guerbet | contrastive learning; neuro-oncology; treatment selection support |
Alexandre Cafaro | TheraPanacea | Multiple sclerosis, healthy, inpainting |
Alexandre Drouin | ServiceNow / Université Laval | machine learning, causal discovery, causality |
Alexandre Lagarrue | CY Tech | Neural Networks, Dementia, Screening |
Alexandre Reeberg de Mello | CERTI Foundation | neural architecture search (NAS), federated learning, multimodal learning |
Alexandre Routier | Paris Brain Institute / Inria | Deep Learning; Machine Learning; Educational Course; MRI; PET |
Alexandre Soli | Federal University of Santa Catarina | Brain; Age; Prediction; Deep Learning; |
Alexandros Chalamandaris | Janssen Pharmaceutical | adni, biomarkers, cognition |
Alexandros Kagias-Zacharoudis | National Centre of Scientific Research "Demokritos" | Alzheimer's, Chimera states, Brain |
Alexandru Cristiean | University of Sussex | bachelors |
Alexandru Floares | Solutions of Artificial Intelligence Applications | Artificial Intelligence, Alzheimer's disease, clinical, genomic, imaging, data |
Alexandru Hanganu | University of Montreal | T1, fMRI, rsfMRI, DTI |
Alexandru Naum | Grigore T Popa University of Medicine and Pharmacy | Alzheimer, FDG, DICOM |
Alexey Shevtsov | Skolkovo Institute of Science and Technology | Transfer Learning, Alzheimer Disease |
Alexey Yakovlev | IBCP RAS | ASL, MCI |
Alexia Edner | Université de Montréal | Laboratory |
Alexis Czippel | University of Victoria | Superagers, superaging, functional connectivity |
Alexis Lowber | Stanford University | Stanford, TADPOLE Challenge |
Alexis Milburn | Stony Brook University | MRI |
Alexis Moscoso Rial | Instituto de Investigacións Sanitarias de Santiago de Compostela (IDIS) | Texture, ALzheimer, Hippocampus |
Alexis Stanley-Olson | University of California, Santa Barbara | neuropsychology, cognitive, dementia, biomarkers, tbi |
Alfandi Firnando | Universitas Sultan Syarif Kasim Riau | alzheimer's |
Alfie Wearn | McGill University | Texture analysis, MRI, PET, biomarker, Alzheimer's |
Alfons Basa | Metropolitan College | alfkel |
Alfonse Niedermeyer | Northwestern University | amygdala, connectivity, dementia, psychosis, disinhibition, fMRI |
Alfonso Barrós-Loscertales | Universitat Jaume I | factorial analysis, latent variable modeling, brain organization |
Alfonso Fajardo | Instituto de Neurobiologia, UNAM Campus Juriquilla | cross.-speccies, functional connectivity, MRI, resting-state, aging |
Alfred Fonteh | Huntington Medical Research Institute | Amyloid, tau, PET, metabolites, glutamate, lipids, omega-fatty acids |
alfredo iacoangeli | king's college London | telomere, bioinformatics , NGS , WGS |
Alfredo Lucas | University of Pennsylvania | harmonization, connectivity, network |
Alfredo Morales Pinzon | Brigham and Women's Hospital | perivascular spaces |
Alfredo Ortiz Rosa | Haverford College | Development |
Alfredo Ramirez | University of Bonn | CSF, biomarkers, GWAS |
Alhassan Mabrouk | beni-suef | Medical Image Processing |
ali abbasi | Urmia University of Technology | Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne |
Ali Abedi | Toronto Rehabilitation Institute | Federated Learning, Healthcare Informatics, Medical Data Analysis |
ali akbar sabbagh | IAU Ahvaz Branch | iot alzheimer healthcare |
Ali Al-Nuaimi | Plymouth University | brain disorder |
Ali Algumaei | Concordia University | ADNI Alzheimer |
Ali Amanlou | Amirkabir University of Technology | machine learning , artificial intelligence , biomedical |
ali asado | sharif university of technology | 3360283937 |
Ali Baghayeri | Shahrood University of Technology | preprocessing data |
Ali Baghayeri | Shahrood University of Technology | ADNI data analysis |
ali barati | tums | rs-fmri |
Ali Baselizadeh | Amir Kabir University of Technology (Tehran Polytechnic) | Alzheimer, Amyloid Beta, Perception, Memory, Population Genetics |
Ali Bilgin | University of Arizona | WMH, segmentation, deep learning |
ali chang | Advantech | alzheimer |
Ali Demir | Massachusetts General Hospital | biomarker, tractogram, postprocessing |
Ali Deniz Çölgeçen | Zonguldak Bülent Ecevit University | Alzheimer's Disease, AI Diagnosis, Neural Network, Brain MRI |
Ali Etemadi | SBMU | Diagnostic accuracy, CSF, biomarker, cognition |
Ali Ezzati | Albert Einstein College of Medicine | Volumetric, MRI, Amyloid, cognitive decline |
Ali Farki | Tarbiat Modares University | AD |
Ali Fathi Jouzdani | Hamadan University of Medical Sciences | PET lifestyle APOE-e4 Genes |
Ali Furkan Kalay | The University of Queensland | missingness |
Ali G. Tabrizi | University of Tabriz | Algorithm , neuron, modeling ,treatment |
Ali Ganjizadeh | Mayo Clinic | Azheimer, parkingson, midbrain, pons, size, mri |
Ali Garmroudi | K.N.Toosi University of Technology | biomedical engineering |
Ali Ghafouri | The University of Texas at Austin | Alzheimer |
ali ghamari | amirkabir university of technology | alighamari2111 |
Ali Haider Bangash | STMU Shifa College of Medicine, Islamabad, Pakistan | Alzheimer's disease; Automated machine learning; Prediction |
Ali Hamdi | Institue Superieur de l'informatique et Multimedia | Alzheimer's desease,machine learning |
Ali Hasan | Al Nahrain University | Deeplearing |
Ali Ismail | Atilim University | Alzheimer, CNN, convolution, RNN, recurrent neural, temporal, spatial, AD |
Ali Jahani | K. N. Toosi University of Technology | fMRI, Alzheimer’s Disease, Classification |
Ali Jannati | BIDMC – Harvard Medical School | PET, rs-fcMRI, lesion network mapping |
Ali Karkehabadi | UC Davis | deep learning paper |
Ali Kazemi | K.N.Toosi University | diffusion tensor images, graph measures, fractional anisotropy, mean diffusivity |
ali keskin | acıbadem hastanesi | 1059188 |
Ali Khan | The University of Western Ontario | Hippocampus, Segmentation, Methods, Diffusion microstructure |
Ali Khazaee | Babol University of Technology | resting-state fmri |
Ali Magzari | The University of British Columbia | deep learning, MRI |
Ali Mahzarnia | UNCC | FDA, fMRI, high dimension, Voxel |
Ali Mohammadnezhad | Urmia university | Alzheimer's disease,Neurofilament Light Chain |
Ali Nawaz | UET Taxila | ADNI treatment by Novel Method |
Ali Nawaz | United Arab Emirates University | Machine learning, diagnosis, prediction, analysis |
ali nazeri | isfahan university | project, ML, machine learning, dataset, prediction |
Ali Nikseresht | AUT | Alzheimer, Prediction, Mathematical modeling, Signal processing |
Ali Noroozi | Tarbiat Modares University of Tehran | eMCI classification, FC construction |
Ali Noshad | Salman Farsi University of Kazerun | classification, stage, neural network, deep learning |
Ali Ozgur Argunsah | University of Zurich | AD detection, convolutional neural networks |
Ali Rahmani Nejad | University of Tehran | U-Net, Segmentation |
Ali Riahi | Ferdowsi University of Mashhad | Machine Learning Analysis |
Ali Tafazzoli | Evidera | Modeling, simulation, |
Ali Tariq Nagi | University of Management and Technology | alzheimer, dataset, Deep Learning |
ali vafadar | university of tabriz | mri |
Ali Vosoughi | University of Rochester | fMRI data analysis, classification task |
Ali Wali | Research Groups in Intelligent Machines | Deep Learning, Alzheimer's disease, SVM, Hybrid Method |
Ali Yavari | USTMB | data mining,neural network |
Ali Zare | University of Michigan, Ann Arbor | Tensor compression, dimension reduction, Alzheimer's disease |
Alice Annicchiarico | University of Torvergata Rome | machine learning |
Alice Davies | University of Birmingham | neuroimaging, dementia, machine learning |
Alice Hahn | Samsung Medical Center | preclinical Alzheimer's disease |
Alice Hahn | Johns Hopkins Bloomberg School of Public Health | Cognition, psychometrics, bayesian |
Alice Ho | City University of Hong Kong | Alzheimer |
Alice Lam | Massachusetts General Hospital | Alzheimer's disease, amyloid, tau |
Alice Motovylyak | University of Wisconsin - Madison | Deep learning, MRI, cognitive reserve |
Alice Pirastru | IRCSS Fondazione Don Carlo Gnocchi ONLUS | MRI, music, AD |
Alice Saparov | Harvard Medical School | deep learning, image deep learning, predicting Alzheimer's |
Alice Schiavone | University of Copenhagen | WMH, segmentation |
Alice V De Lorenci | USP | image classification, machine learning |
Alice White | University of Cambridge | model stratification MCI dementia |
Alicia Joseph | Elmont Memorial High School | Project |
Alicia Ma | not available | prediction |
Alicia Pose Díez de la Lastra | Universidad Carlos III de Madrid | TADPOLE |
Alicia Twisselmann | USC | Alzheimer's Disease |
alicia XU | Taiyuan University of Technology | DFC |
Alif Elham Khan | North South University | Computer Vision |
Alihan Huyuk | University of Cambridge | imitation learning, behavioral cloning |
Aliki Zavaropoulou | Hasso Plattner Institute | GWAS, regression model, LASSO, genotype - phenotype association, SNPs |
Alin Hou | Changchun University of Technology | convolutional neural network; auxiliary diagnosis |
Alina Lazar | Youngstown State University | missing values, deep learning |
Alina Lyaskovik | Research center of Neurology | AD, neuroradiology |
Alina Malik | Comsats University Islamabad | MRI, PET, Medical image processing |
Alina Mindru | Technical University of Cluj Napoca | Alzheimer, deep learning, cnn |
Alina Nesen | Purdue University/ Eli Lilly | TAU Suvr |
Alina Ruge | Carl von Ossietzky University of Oldenburg | Alzheimer's Disease, intra-cerebellar connectivity, NPS |
Aline Pichon | Roche | alzheimer's, adverse events, safety, imaging, MRI, Gant, Semo |
ALIOU DIOP | Gaston Berger University | censored data; survival analysis, functional data analysis |
Alireza Aseman rafat | Shiraz University of Medical Sciences | Alzosure, hypometabolism, FDG-PET scan |
Alireza Banan | Birjand university | brain age estimation, brain age gap |
Alireza Fathian | Tarbiat Modares University | Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network, |
Alireza Jomeiri | Islamic Azad University | Alzheimer's disease, deep learning, MRI |
alireza pakdel | KAUMS | migraine and parkinson |
Alireza Parsay | University of California, Santa Barbara | Manifolds, Statistical shape analysis |
Alireza rahimi | tarbiat modares university | deep-learning, classification |
Alireza Rezvanian | University of Science and Culture | deep learning, CNN, Embedding, |
alireza sadeghi | basu | hippo |
Alireza Shafaei Darestani | University of Tabriz | Neuroimaging-DeepLearning-BiLSTM |
Alireza Soltani Khaboushan | Tehran University of Medical Sciences | neuroinflammation, inflammatory mediators, cognitive impairment |
Alireza Vafaei Sadr | Geneva university | Deep learning |
Alisa Kunapinun | Asian Institute of Technology | Medical imaging |
Alisa Lebedenko | Saint-Petersburg Medical Military Academy | dementia, hydrocephalia |
Alisa Yusufova | Tilburg University | VBM, morphometry, Alzheimer's patients |
Alisha Bhatt | UCL | Model, Bioscience, Disease, Project |
Alisha Dias | St. Francis Institute of Technology | Detection, Stage, Alzhiemers |
Alishba Sadiq | University of Maryland | ASL, perfusion MRI |
Alison Deatsch | University of Wisconsin - Madison | FDG PET, deep learning, CNN, diagnosis, biomarker |
Alison Goate | Icahn School of Medicine at Mount Sinai | Genetics, using ADNI data as a teaching example, Friday Harbor |
Alison Klein | Johns Hopkins School of Medicine | Control, Familial Pancreatic Cancer |
Alison Luckey | Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases | GWAS; visual memory |
Alison Myoraku | NCIRE | FDG-PET, amyloid, ASL, perfusion, early frames |
Aliyu Abubakar | University of Liverpool | Alzheimer, Deep Learning, Vision Transformer, Classification |
Alizée Pace | University of Cambridge | Machine Learning, Interpretable ML, Imitation Learning, Decision Support |
Alka Singh | Madan Mohan Malaviya University of Technology, Gorakhpur | Research |
allan elias | University of Birmigham | Deep Learning Methods |
Allan Levey | Emory | proteomics |
Allen Arani | University of Houston | Alzheimer's, Convolution, Machine Learning, |
allen gike | 温州大学 | 学习 |
Allen Reha | LEXEO Therapeutics | Biomarker |
Allen Song | Duke University | SCAN compliance |
Allen Spencer | Brainiac Initiative | Deep learning |
Allen Tsai | University of Wollongong | CDS, clinical decision support, dementia, MCI |
Allen Tsai | University of Southern Queensland | machine learning, deep learning, ANN, CNN |
Allen Wang | Johns Hopkins University | image analysis, MRI feature extraction |
Allison Dillon | Genentech | dictionary |
Allison Engstrom | University of California, Irvine | Alzhiemer's, Dementia, Tau, Resistance, CVRi |
Allison Gregg | UT Southwestern Medical Center | neuropsychology, psychiatry, neuroimaging, neurocognitive |
Allison Liu | Emory | assignment |
Allison McLean | Genuity Science | digital pathology |
Allison Yih | Genentech | genentech, kaggle, competition, missing data imputation |
Almontaser Hussien | kooko | lzheimer's disease, neuroimaging |
Alois Hopf | Bottneuro | Neuromodulation, personalised medicine, tACS, Startup, clinical trial |
Alok Dwivedi | Texas Tech University Health Sciences Center El Paso | Amyloid positive, MRI, CSF biomarkers, ABETA42 |
Alok Jha | Capgemini | Re-inforcement learning |
Alok Ray | Deloitte | Deep Learning, Early Diagnosis, Genetic/Molecular Profiles, Alzheimer's |
ALOK TIWARI | iit bhu varanasi | BRAIN TUMOR SEGMENTATION |
Alokkumar JHa | Weill Cornell Medicine | Polygenic Risk, Genetics |
Alon Efrati | Vrije Universiteit | Machine Learning, A.I. |
Alondra Reyes | Universidad Autónoma de Ciudad Juárez | Thesis Project |
ALOU DIAKITE | Shenzhen Institute of Advanced Technology | DTI, DKI, DSI |
Alper Bingol | LMU | MCI, AD, mri, fmri |
Alper Ozcan | Akdeniz University | machine learning, graph theory, network embedding |
Alper SOLMAZ | Hacettepe University | computer vision |
ALPHIN J THOTTUPATTU | iiit-h | Structral variations |
ALPHIN MEHUL | IIIT-Hyderabad | Normative aging study |
Alson van der Meulen | Leiden University | dementia alzheimer |
Altuğ Yiğit | Dokuz Eylül University | Alzheimer’s Diagnosis, MCI Diagnosis, Deep Learning, Multimodal Imaging |
Álvar Arnaiz González | Universidad de Burgos | Big data, teaching |
Álvaro Fernández Calleja | Universidad Politecnica de Madrid | Alzheimer, longitudinal analysis, MRI |
Álvaro García | UNIZAR | ClinicaDL, project, experiment, training |
Alvaro Gonzalez JImenez | University of Basel | Anomaly Detection, Unsupervised Learning |
Alvaro Mendoza Alcala | AstraZeneca | ML, MRI |
Álvaro Serra | Universidad de Navarra | MRI, AI |
Alvaro Zamora | Stanford | Statistics, Learning, Computing |
Alvea Tasneem | Jamia Millia Islamia | Alzheimer's disease, GWAS, biomarkers, drug discovery, simulation |
Alvin Liu | Xi'an Jiaotong University | lyzh20010801 |
Alvin Reabow | University of Cape Town | Deep learning, Disease Classification, OCD, Convolutional Neural Networks |
Alvin Wang | SMU | segmentation |
Alyssa De Vito | Brown University | intraindividual variability |
amal abbas | university of Al-Qadisiyah | Alzheimer disease diagnosis |
AMAL ALNASSER | KFSH | BREAST |
Amal Harrati | Stanford University | Genetics, using ADNI data as a teaching example, Friday Harbor |
Amal Joseph | St. Joseph's college Bangalore | Research work, AI, AD detection |
Amal Mathew | Activeloop | activeloop |
Amalia Roscio Villena Romani | UTEC | alzheimer |
Aman Chawla | Dayananda Sagar University | neuroimaging, validation |
Aman Gupta | Manipal University, Jaipur | MLCNN |
Aman Gupta | Hill School | Hill School |
aman nadeem | university of punjab | alzheimer's ,natural language processing |
Aman Rehman | ManKiBaat | Research, AI, Mental Health |
Aman Sethi | NIT RAIPUR | Train and test ML model |
Aman Shrivastava | University of Virginia | generative modeling, diffusion models |
Aman Singh | IIIT Nagpur | Alzheimer's Disease Detection |
Aman Singhal | Jaypee Institute of Information Technology | A machine learning project |
Amanda Christini | Blackfynn, Inc | Algorithms, data integration, multimodal data biomarkers |
Amanda De Silva | University of Technology Sydney | Machine Learning, Alzheimer's Disease |
Amanda Manea | University of South Carolina-Columbia | research |
Amanda Myers | Belmont University | Cognition; Dementia; Sex Differences |
Amanjot Bhullar | University of Guelph | artificial neural netowrk |
AmanPreet Badhwar | CRIUGM, University of Montreal | neuroimaging, genetics |
Amanullah Asraf | KUET | AD, CNN, DSA- 3D CNN |
AMAR DUM | Shivaji University, Maharashtra (India) | Alzheimer's Disease, MRI, PET, Early Diagnosis |
AMAR SHUKLA | upes | volumetric and tracks |
Amaro Garcia Suarez | University of Copenhagen | brain MRI scans; early diagnosis; machine learning; pattern recognition |
AMARTYA NANDI | AMRITA VISHWA VIDYAPEETHAM | ALZHIEMERS |
Amaya Phillips | Cleveland Clinic | Dementia MRI Memory |
Amber McBorrough | Niji Corp. | neuroimaging; Alzheimer's, MRI, gray or white matter tissue, regional brain vol |
Ambika Garg | Thapar Institute of Engineering and Technology | Feature Extraction,PCA |
Ambili AV | Hindustan college of arts and science | Brain multiplex, Correlative analysis, Dementia, discriminant analysis DNN, Fi |
Ambily Francis | Karunya | AD,CN,MCIc,MCInc |
Ambra Macis | University of Brescia | machine learning, classification |
Ambuj Agrawal | Elucidata Inc. | Project, Alzheimers prediction, IIIT Allahabad |
Ambuj Singh | University of California, Santa Barbara | brain networks, graph mining, alzheimer's disease. |
Amdadul Haque | KUET | deep learning |
Ameck Dosseh | IMSP | Genetic association studies |
amee kang | ewha university | insurance |
Ameen Ali | Tel Aviv University | MRI , Super Resolution , alzheimer’s detection |
Ameer Saadat-Yazdi | University of Edinburgh | Machine Learning, Topological Data Analaysis, Persistent Homology |
Ameer un Nisa khalid saeed | University of central punjab | cnn, final year project |
Ameet Soni | Swarthmore College | Machine learning |
Amel Bouchemha | University of Tebessa , Algeria | Medical images, bio-inspired approches, Random forest |
Amelie Schaefer | Stanford University | simulation, brain atrophy, Alzheimer's disease |
Ameya Kulkarni | AbbVie | Genomics, Clinical, Progression, Score |
Amil Dravid | Northwestern University | Machine Learning, Computer Vision |
Amin Ghaffari | University of California Riverside | Dementia, Locus Coeruleus, Machine Learning, fMRI |
Amin Haghani | University of California Los Angeles | Alzheimer, DNA methyalation |
Amin Janghorbani | Semnan Unversity | Deep learning; artificial intelligence; fusion method; |
Amin Karimi Monsefi | The Ohio State University | 3D medical images, self-supervised, Deep learning |
Amin Khatibi | Universidad Politecnica de Madrid | Thesis, A.I., detecting Alzheimer's conversion |
amin mehrvarz | Alborz medical university | Alzheimer - hyper-intensity |
Amin Mortazavi | University of Tehran | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Amin Sakhaei | Amirkabir University of Technology | HC, MCI, AD |
Amin Tajerian | Arak University of Medical Sciences | Alzheimer's Disease; Machine Learning; Diagnosis; |
amine derra | hassiba ben bouli | AI |
Aminu Musa | Federal University Dutse | Deep learning, Alzheimers, Nueroimaging |
Amir Ashraf-Ganjouei | Tehran university of medical scienses | Machine learning, Neural network |
Amir Dehsarvi | University of Aberdeen | biomarkers |
Amir Ebrahimighahnavieh | University of Newcastle | Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM |
Amir ElTabakh | New York University | Alzhiemers, research, NYU, PET_image, T1_MRI_image, register, Talairach Atlas |
Amir Faiyaz | texas tech university | image analysis |
Amir Fazlollahi | University of Melbourne | QSM GRE MPRAGE |
Amir Hadanny | Shamir Medical Center | head circumference |
Amir Heydari | AmirKabir University of Technology | cerebral cortex reconstruction, implicit surface, deep learning, feature extract |
Amir Hossein Bahrololoomian | Azad University | Alzymer |
Amir Hossein Jalalzadeh | Islamic Azad University | Brain age perdition |
Amir Khorasani | Isfahan University of medical sciences | Medical image fusion, DDcGAN, Neural Network, MRI, PET |
Amir Koushyar Ziabari | Oak Ridge National Laboratory | gan, neuroimaging, |
Amir Meghdadi | Advanced Brain Monitoring | EEG, MMSE, MoCA, DRS, ERP |
Amir Poreh | Cleveland State University | Statistical Models and Aging |
Amir Rosenfeld | Independent | Registration, Detection |
Amir Sadikov | University of California San Francisco | Diffusion, T1, LFA |
Amir Tahami | Eisai Inc. | Alzheimer's, rates of diagnostic transition, cognitive change, clinical endpoint |
Amir Zare | Mazandaran University | morphometry, Alzheimer’s disease, voxel-based morphometry, machine learning |
amira ben rabeh | tunis | Alzheimer , CAD |
Amira Khalil | Zewail University of science and technology | AD, machine learning, computational Biology |
Amira Mahjabeen | Daffodil International University | Alzheimer's disease, MRI, PET, DTI, cognitive test |
AMIRA MAHMOUD | mansoura college | Deep learning,mri, Alzheimer's disease |
Amira Soliman | Halmstad University | AD, DLB, MCI |
Amira Youssef | Faculty of Engineering, AEA University. | AI DEEP LEARNING ALZHEIMER'S disease |
Amirabbas Abdoli | Iran | GAP-43, DTI, Alzheimer's disease |
Amirali Aali | Mashhad university of medical sciences | FMRI, resting-state, prodromal |
amirhosein kargar | tums | ad- DMN- LONELINESS |
Amirhossein Arzani | Northern Arizona University | hemodynamics, blood flow, perfusion |
Amirhossein Asadian | Sharif University of Technology | Cognitive decline |
Amirhossein Feizi | Semnan University | learning, research design, studying |
Amirhossein Khodadadi | mashhad university of medical sciences | alzheimer, longitudinal studies |
amirhossein norouzi | Azad University | seizure, eclipse, genetic algorithm, evolutionary algorithm |
AmirHussein Abdolalizadeh | Tehran University of Medical Sciences | Alzheimer's Disease; Dopamine; MRI; Network |
AmirHussein Abdolalizadeh Saleh | Carl von Ossietzky University Oldenburg | Structural Connectivity, Functional Connectivity, Lesion Network Mapping |
Amirmohammad Azizzadeh | Tabriz University of Medical Science | tensor based morphometry, neuropathology findings |
Amirreza Noroozi | Sabzevar University of Medical Sciences | Alzheimer's Disease- BIN1- Genetic risk |
amirrreza tks | UNIVERSITY OF TEHRAN | deep |
Amisha Gandhi | Boston University | final project, machine learning |
Amit Agarwal | USC | Tau, microglia, neurodegeneration |
Amit arora | ptu | MRI, Mammography, image processing, Deep learning, machine learning |
Amit Choudhari | Tata Memorial Hospital | dti |
Amit Doda | Indian Institute of Technology Hyderabad | ADNI MRI Scan Data |
Amit Frishberg | Helmholtz Zentrum München | Longitudinal analysis, disease models, System biology |
Amit Mishra | SISTec | Alzheimer's |
AMIT MONDAL | Savitribai Phule Pune University | Model, Neural network, accuracy |
Amit Naskar | National Brain Research Centre | DTI, fMRI |
Amit Patti | PES University | MR Images, PET Images |
Amit Shah | Siemens Healthcare GmbH | Education |
Amit Sharma | IIIT | research |
Amitesh Agrawal | NIT Raipur | alzeihmers |
AMLAN PROTIM HAZARIKA | JADAVPUR UNIVERSITY ,KOLKATA | MRI, Fuzzy Theory, Machine Learning |
ammar adeel | middlesex university | diffusion models, synthetic data, stable diffusion |
Ammar Ranapurwala | Bharati Vidyapeeth University | BrainImaging,DeepLearning,Transformers,Medical Imaging |
Ammu R | International Institute of Information Technology | Quality Assessment |
Ammu R | International Institute of Information Technology, Bangalore | time series, MCI |
Amna Saeed | National University of Sciences & Technology (NUST) | Alzheimer's Disease, Machine learning, Structural changes in brain, MRI |
Amna Salahudin | FAST NUCES | Alzehmeirs |
Amnah Mahroo | Fraunhofer Mevis | ASL, Perfusion Quantification |
Amnaya Pradhan | SRM IST | Major Project, Alzheimer's, Deep Learning |
Amod Prkash | Manipal University Jaipur | Twin SVM |
Amol Tambe | Cognizant | alzheimer, neuro imaging, ADNI |
Amos Hung | University of Hong Kong | morphmetry, Alzeheimer |
Ampofo Twumasi | University of Ghana - Legon | Convolutional Neural Network, Alzheimer's disease, Mild cognitive impairment. |
Amr Eed | Instituto de neurociencias de alicante | Machine Learning, multi-shell models |
Amrit Raj | National Institute of Technology, Delhi | CNN, DNN, ANN, RNN, Hippocampus, Cortex |
Amrita Kaur | thapar institute of engineering | MRI |
Amritha s | Gardencity university | alzhiemer's disease prediction |
Amritpal singh | Maulana azad medical college | Deep |
Amritpal Singh | Georgia institute of technology | MultiModal |
amrutha v | iit | Alzhimers disease |
Amulya Reddy Lakku | University of Missouri St. Louis | Deep Learning, Alzheimers |
Amulya Reddy Lakku | University of Missouri St. Louis | Deep Learning, Alzheimers |
Amy Chen | AltPep | Biosample Request, Blinded and unblinded data, Early detection and diagnosis |
Amy De Lury | Stony Brook University | Alzheimer's Disease, MCI, MRI, cortical thickness, subcortical volumes |
Amy Fredrickson | Cogstate | Data Deliverable |
Amy Jolly | Imperial College London | Alzheimer, Artificial Intelligence |
Amy Kuceyeski | Weill Cornell Medical College | computational analysis, brain connectivity network, prediction of AD progression |
Amy Min | 20 | topology |
Amy Wolf | UCSF | FTD, frontotemporal dementia |
Amyn Kassara | école normale supérieure paris-saclay | Riemannian Geometry, Longitudinal datasets, Statistical Learning |
An Vo | Feinstein Institutes for Medical Research | AD network biomarkers |
An-ping Shi | Tangdu Hospital, | Alzheimer's disease, Resting-state functional connectivity |
Ana Andrade | YACHAY TECH | ALZHEIMER |
Ana Boeriu | University of California, Davis | Dr. Harvey, MS comprehensive examination, data analysis project |
Ana CALIN | Insa Rouen | Bayesian Networks |
Ana Canosa | UNSAM | Alzheirmer |
Ana Defendini | University of Pennsylvania | Imaging |
Ana Espinosa | Fundació ACE | Cognition, |
Ana Gabriela Sánchez | Universidad Autónoma de Zacatecas | image processing data processing |
Ana Guisasola | Universidade do Minho | machine learning, medical image, artificial intelligence |
Ana Ivan | University Politehnica of Bucharest | alzheimer |
Ana Lawry Aguila | UCL | Multi-view methods, machine learning, imaging genetics |
Ana Maria Ramirez Garcia | Universidad Manuela Beltran | MIR |
Ana Micaela Tavares Rodrigues | Universidade de Aveiro | Radiomics; MRI; MCI; Alzheimer's Disease |
Ana Nunes | University of Coimbra | PET, PiB, texture |
Ana Rodríguez | IDIVAL | Alzheimer, drug, response, sex, age |
Ana Secuiu | Politehnica University of Bucharest | Bachelor Thesis, MRI, Alzheimer's Disease, Deep Learning |
Ana Sofia Castro Verde | Champalimaud Foundation | DTI rsfMRI |
Ana Sofia Costa | University Hospital RWTH Aachen | amyloid deposition, microangiopathy, microbleeds, phenotype, progression |
Ana Solbas Casajús | Universidad Complutense de Madrid | Graph Theory; Alzheimer; Neurocognitive domains |
Ana Starcevic | Medical faculty | brain, structural analysis |
Anagha Acharya | BMS College of Engineering | alzheimer, deep learning |
ANAGHA M | CENTRAL UNIVERSITY OF KERALA | MACHINE LEARNING |
Anahita Baninajjar | University of Tehran | generative adversarial networks, MRI, AD |
Anaïs Rouanet | Inserm U1219 - Bordeaux Population Health Center, France | temporal relationships, multidimensional, causality |
Anako Joshua | University of Plymouth, United Kingdom | Parkinson's Disease, Machine Learning Algorithm, Neuroimaging Dataset |
Anam Haq | Poznan University of Technology | mixture of experts, comprehensive clinical data fusion |
ANAM SAEED | Sichuan University | ADNI, ANN |
anamika mitra | sharda university | Alzeihmer |
anamika singh | cdac | Brain |
Anand Joshi | University of Southern California | image analysis, |
Anand Joshi | University of Southern California | brain imaging |
Anand Kumar Bapatla | University of North Texas | EEG, fMRI |
Anand Kumar Reddy Gajulapalli | Annamacharya PG college of computer studies | required |
Anand Shankar | IIITG | fMRI, MRI |
Anand Shankar | IIITG | fMRI, MRI |
ananda kumar a | - | research |
anandh mahindra | queens univesity | information technology |
Anandita Nadkarni | Carnegie Mellon Univeristy | PET, disease trajectory/subtypes, ML |
Anant Dadu | UIUC | Machine Learning, Predictive Modeling, Alzheimer's Disease, Progression |
Ananthan Ambikairajah | University of Canberra | Menopause, Ageing, Neuroimaging |
Ananya Dhulipala | RV College of Engineering | Visual Transformers, MRI Scans, Multiple Stages |
Ananya Ghosh | Vellore Institute of Technology (VIT), Vellore, India | Federated Learning, Alzheimer's Disease, MRI |
Ananya Jana | Rutgers University | computer vision, deep learning |
Ananya Malipeddi | Academies of Loudoun | apolipoprotein e4, Alzheimer's disease, heart disease |
Ananya Ruth Samuel | Massachusetts General Hospital/Harvard Medical School | Sex differences in AD |
Ananya Sadana | Indira Gandhi Delhi Technical University for Women | convolutional neural network, computer vision, alzheimer's disease detection |
ANANYA SINGHA | IISER Bhopal | machine learning, classification, GNN |
Anargya Daffa | SMAN 81 Jakarta | Artificial intelligence as a tool to investigate early detection and diagnosis o |
Anas Alsayed | Uskudar University | CNN, MRI, THESIS |
Anas Bitar | Damascus university | Machine learning, Neurology |
Anas Bsoul | Jordan University of Science and Technology | Alzheimer; amyloid; Neural Network |
Anass Grini | University Mohammed V - Rabat | Graph Neural Network - Brain Disorder Analysis |
Anastasia Brovkin | University Medical Center Hamburg- Eppendorf | Deep learning, biomarker, prediction, statistics |
Anastasia Georges | University of Pennsylvania | R, biostatistics |
anastasia yablokova | PSTU | diploma |
Anay Aggarwal | Stoller Middle School | behavior test scores |
Anayara Moreno | ULPGC | Alzheimer |
Anca Larisa Sandu Giuraniuc | University of Aberdeen | PET normal |
Ander Zuazo fernandez de landa | Deusto Sistemas | brain segmentation, skull-stripping |
Anders Dale | University of California, San Diego | image analysis, statistics, test and validate |
Anders Gould | University of Illinois Urbana Champaign | Machine learning, computer vision, MRI, dementia |
Anders Hoffmann | University College Lillebælt | Performance; Pruning |
Anderson Sarilio | FIA - Fundação Instituto de Adminstração | Alzheimer's, Machine Learning, Artificial Intelligence, Detection, Prevent |
Anderson Winkler | National Institutes of Health | MRI, dementia, myelin |
Andhika Bagaskara | Universitas Muhammadiyah Malang | Alzheimer, CNN, Image Classification |
Andinet Enquobahrie | Kitware | multimodal; prediction |
Andrada Mihaela Tudor | Catholic University of the Sacred Heart | Causal discovery, causal inference |
András Balogh | University of Szeged | multimodal image registration |
Andre Altmann | University Collage London | Imaging Genetics, Next Generation Sequencing |
Andre Gouws | University of York | MRI diffusion demementia detection |
Andre Mendes | New York University | multi-task learning, multi-stage learning, transfer learning |
Andre Peres | University of Coimbra | DNN, MRI, MCI, Dementia, Alzheimer's Disease |
Andrea Basile | università | research brain deep learning |
Andrea Brzeczkowski | University of Wisconsin - Madison | pharmacokinetic, imaging |
Andrea Chincarini | INFN | longitudinal studies, MCI, network, atrophy measurements |
Andrea Ciarmiello | Medicina Nucleare - S. Andrea Hospital | Mci trajectory, Deep learning, onset prediction |
Andrea Clark-Sevilla | Johns Hopkins APL | precision medicine, brain biomarkers |
Andrea Conway | Indiana University | connectomics, brain networks |
Andrea De Salve | National Research Council (CNR) | Deep Learning; Computer Vision; MCI Risk Prediction |
Andrea Dell Orco | Charite Berlin | wmh |
andrea fidanzio | ucsc | Andfida1000 |
Andrea Frosini | Università degli studi di Firenze | structural matrix, fractal dimension, cerebral cortex |
Andrea Grioni | Central European Institute of Technology (CEITEC) | AD DREAM model prediction |
Andrea Lessa Benedet | McGill University | Genetics, using ADNI data as a teaching example, Friday Harbor |
Andrea Loddo | University of Cagliari | deep learning; detection; classification |
Andrea Loddo | University of Cagliari | deep learning; cnn; classification; detection |
Andrea Rapuzzi | A-SIGN | Deep learning, CNN |
Andrea Rommal | Feinstein Institutes for Medical Research and Zucker School of Medicine | Variational Autoencoder; Deep Learning |
Andrea Vázquez Varela | Universidad de Concepción | segmentation parcellation |
Andreana Benitez | Medical University of South Carolina | MoCA, Item Response Theory |
Andreana Haley | The University of Texas at Autin | obesity; BMI; Cognitive Function; Mild Cognitive Impairment; Structural Equation |
Andreas Avgoustis | Ionian University | desision support system,master degree |
Andreas Engvig | Oslo University Hospital | Frailty, subject clustering, estimated glomerular filtrator rate (eGFR) |
Andreas Lindauer | Calvagone SARL | p-tau, modelling, disease progression |
Andreas Mang | University of Houston | diffeomorphic image registration, biophysics inversion |
Andreas Mavropoulos | Harokopio University | MRI,Alzheimers,Cognitive impairment |
Andreas Mertzanakis | harokopeio uiversity | deep learning, machine learning |
Andreas Pfenning | Carnegie Mellon University | noncoding, genetics |
Andreas Sauter | Vrije Universiteit Amsterdam | AI, ML, Causality |
Andreas Schindele | University Hospital Augsburg | Alzheimer, Neural Networks, Visual Transformer, CNN, 3D, FDG-PET |
Andreas Stergioulas | CERTH | Brain desease detection, Transformers |
Andreea-Elena Cojocaru | Vienna University of Technology | . |
Andrei Dragomir | Politehnica Bucharest University | Ask and I can provide further details |
Andrei Popescu | Merck & Co., Inc | patient data, sample inventory |
Andrei Vakhtin | The Mind Research Network | DTI, fMRI, Resting-State, ICA, AFQ, Tractography, Networks |
Andrei Vlassenko | Washington University School of Medicine | ADOPIC |
Andréia Fischer | Pontifícia Universidade Católica do Rio Grande do Sul - PUCRS | harmonizing brain [18F]FDG-PET |
Andreia Oliveira | Instituto Superior de Engenharia do Porto | Neural Networks, Alzheimer, Diagnosis |
Andreia Rocha | Universidade Federal do Rio Grande do Sul | Biomarker course |
Andreia Silva da Rocha | Universidade Federal do Rio Grande do Sul | PET, rat TgF344-AD |
Andrej Tschalzev | University of Mannheim | Machine Learning Research |
Andres Jimenez Garcia | Universidad Tecnologica de Pereira | Neural Networks, Anomaly detection, IA, Machine learning |
Andres Jimenez Garcia | Universidad Tecnologia de Pereira | anomaly detection, deep learning, generative adversarial networks |
Andres Zapata | Technical University of Munich | Deep Learning, Connectome, Diagnosis |
Andrew Bass | Emory University | Interaction effects |
Andrew Bender | Michigan State University | diffusion MRI, machine learning, latent factors, |
Andrew Bryant | University of Florida College of Medicine | pulmonary hypertension, interstitial lung disease, emphysema and OSA |
Andrew Bryant | University of Florida College of Medicine | pulmonary hypertension, interstitial lung disease, emphysema and OSA |
Andrew Chen | University of Pennsylvania | dimension reduction, batch effects, site effects |
Andrew Cirincione | Icahn School of Medicine at Mount Sinai | Ensemble Integration, Machine Learning, Predictive Modeling |
Andrew Dhawan | Cleveland Clinic | SNP, CSF biomarker, Imaging correlate |
Andrew Goldfine | GSK | clinical trial |
Andrew Guo | Nvidia | AI, ML, Transformers, Classification |
Andrew Hoopes | MIT | neuroimaging, deep-learning, freesurfer |
Andrew Hooyman | Arizona State University | APOE e4, Mild Cognitive Impairment, Longitudinal Analysis |
Andrew Hufton | Springer Nature | data-peer-review metabolomics |
Andrew Huynh | Austin Health | Obesity, hypertension, Alzheimer's disease, PET, MRI, CSF |
Andrew J | Manipal Institute of Technology | deep learning, alzheimer's disease diagnosis, explainable AI |
Andrew Jaffe | RBNC Therapeutics | TWAS, multimodal analysis |
Andrew Jahn | University of Michigan | structural, flair, DWI, ASL, resting state |
Andrew King | King's College London | Machine learning, deep learning, AI, fairness, brain, MRI |
Andrew Kiselica | Baylor Scott and White Health | Alzheimer's, linking and equating, cognition |
Andrew LaBella | Stony Brook University | Deep Learning Alzheimer's PET MRI Prediction |
Andrew Le | shanghai university | lonidata |
Andrew Lee | University of California, Berkeley | Cortex, Alzheimer, Retina, Angiogenesis |
Andrew LIN | Taipei Medical University | PET, deep learning |
Andrew Magis | Arivale, Inc | mild cognitive impairment, clinical trial, lifestyle intervention |
Andrew McShane | Ulster University | machine learning |
Andrew Nguyen | University of Florida | alzheimer's |
Andrew Raafat | Higher technological institution | Machine Learning , CNN |
Andrew Reid | University of Nottingham | locus coeruleus, norepinephrine, pupillometry, connectivity |
Andrew Saykin | Indiana University School of Medicine | MRI, PET, genetics, pattern recognition |
Andrew Sharp | Icahn School of Medicine at Mount Sinai | Tandem repeat, repeat expansion, genomics |
Andrew Stern | Brigham and Women's Hospital | AD biomarkers, baseline characteristics |
Andrew Trease | University of Nebraska Medical Center | Alzheimer's disease, mitochondria, synaptic, non-synaptic |
Andrew Tsui | Canyon Crest Academy | Alzheimer's Disease, Machine Learning, |
Andrew Willett | Brigham and Women's Hospital | movement disorders, MRIs |
Andrew Willett | Brigham and Women's Hospital | movement disorders, MRIs |
Andrew Worth | Neuromorphometrics, Inc. | brain segmentation, automated segmentation |
Andrew Zalesky | The University of Melbourne | Brain ageing, normative modelling, MCI, AD |
Andrew Zywiec | The Brooklyn Hospital Center | neuroimaging, AD, Alzheimer disease, biochemistry, organic chemistry, biology |
Andrey Malinin | Shifts Project | Machine Learning, Distributional Shift, Pre-Training, Foundational Models |
Andrin Fluetsch | Novartis | Mendelian Randomization |
Andrzej Przybyszewski | PJWSTK | machine learning, data mining |
Andy Jiang | SBU Stony Brook University | Dementia, AD, PD, cognitive performance |
Andy Liu | Duke | fMRI |
Andy Shen | UC Berkeley | casual inference |
Anees Abrol | The Mind Research Network | Multimodal, AD, MCI, Progression |
Anees Kazi | Technical University of Munich | Deep learning, data retrieval, machine learning |
Aneesh Krishnaraj Nejikar | University of Exeter | MCI, Gradient Boosting, CNN |
Aneeta Christopher | National Institute of Technology Calicut | MR imaging, Denoising, Deep Neural Networks, MemNet |
Aneeta Christopher | National Institute of Technology Calicut | medical imaging, MR images, Deep Neural networks |
ang gao | CAS,china | Machine learning |
Ang Guo | Shenzhen Institute of Advanced Technology,CAS | skull stripping |
Ang Li | CAS | Resting-state fMRI, Machine learning |
Ángel Alberich Bayarri | Quibim | Brain atrophy, MRI, Artificial Intelligence, longitudinal analysis |
Angel de la Vega Jimenez | University of Granada | Deep learning, CNN, Alzheimer disease |
Angel Martin del Rey | Universidad de Salamanca | Machine learning; convolutional neural networks; Alzheimer disease |
Angel Sara Abraham | University of Greenwich | Alzheimer's |
Angela Jefferson | Boston University | Cognitive Performance, Aging |
Angela Liliana | Universidád Manuela Beltrán | Alzheimer |
Angela María García Sañudo | Universidad Nacional de Colombia | Cerebro, redes neuronales |
Angela Pantebre Pedrosa | Universitat Pompeu Fabra | Alzheimer's Disease, ADNI3, MRI, PET SCANS, MULTILAYER NETWORKS, BACHELOR THESIS |
Angela Rocchi | Temple University - Lewis Katz School of Medicine | Alzheimer's Disease, Carbonic Anhydrase Inhibitors, Cardiovascular Disease |
Angela Tam | McGill University | resting-state, fMRI |
Angela Velazquez | University of Arizona | weight apolipoprotein beta amyloid |
Angela Voo | Atholton High School | Alzheimer's disease, herpes, blood sugar, diabetes |
Angela Zhang | University of California, Santa Barbara | AD, Connectome, NPH |
Angelia Wang | Janssen R&D | Amyloid beta, tau, Alzheimer's Disease, iADRS, biomarker, Adas-Cog, iADL, QSP |
Angelica Aviles | University of Cambridge | AD MCI diagnosis, Machine Learning, Graphical Models |
Angelica Vina Albarracin | Project Manager, Columbia University | NYC, neighborhood, socioeconomic disparities |
Angelique Sadlon | Imperial College London | metabolomic profile AD PD |
Angus Lau | Sunnybrook Research Institute | Resting state fMRI, control data, machine learning |
Angus Prosser | University of Southampton | neuroimaging, clustering, trajectories |
Anh Khoa Vo | University of British Columbia | Tau, ACB, anticholinergic, data anlysis |
Anh Le | Robert Bosch Engineering | Alzheimer dataset |
Anhduy Nguyen | Chang Gung University | Alzheimer's disease, deep learning |
Anhelina Shemrikovych | Kharkiv national university of radioelectronics | Software |
Ani Eloyan | Brown University | clinical domain, machine learning, deep learning |
Anik Das | Varendra University | ADNI |
Aniket Dey | University of Pennsylvania | NLP, Machine Learning, Healthcare |
Anil Kemisetti | Genentech | Federated Analytics, Federated Learning |
Anıl Özkaya | Istanbul Technical University | Deep Learning, Artificial Intelligence, Early Diagnosis, Alzheimer's Disease |
Anil Rao | GlaxoSmithKline | MRI Classification |
Anil Yadav | UCLA | Deep Learning, RNN |
ANIMESH KUMAR -- | National College of Ireland | BRAIN AGE, MRI, DEEP LEARNING, PREDITION |
Anirban Dutta | University at Buffalo SUNY | Non-invasive brain stimulation |
anirban kanungoe | bharat institute of engineering and technology | MRI images |
Aniruddh A | The National Institute of Engineering | Applying Machine learning to MRI images |
Aniruddh Mehra | Nova Southeastern University | Machine Learning Algorithms, Brain Imaging, Constructed Temporal Features |
Anirudh Parashar | UTA | Convolutional Network |
ANIRUDH reddy | jackson state university | machine learning, data science |
Anis Chihoub | Rutgers University | Graph Neural Networks |
Anis NEHMAR | Sorbonne Universite | 6QN13 |
Anish Kapadia | University of Toronto | amyloidPET not in brain |
Anish Salvi | ImageRx | Medical Imaging, Machine Learning, Alzheimer's, T1 MRI, 3D ResNet, 3D U-Net |
Anisha Das | Florida State University | neurology, Alzheimer |
Anisha Das | Florida State University | GWAS, mediation analysis, phenotypes |
Anita DeStefano | Boston University | Alzheimer, genetics, association |
Anita Donnelly | Ulster university | Machine Learning, Data Modelling |
Anita Lakatos | University of California, Irvine | genome, mitochondria, PET images |
Anita Saini | National Institute of Technology Rourkela | Alzheimer’s Disease, Deep Learning, U-Net and MRI |
Anita Sinha | University of Wisconsin-Madison | rs-fMRI, functional connectivity, machine learning, deep learning |
Anita Valmarska | Jožef Stefan Institute | disease progression, patterns, therapy modifications, AD |
Anita van Loenhoud | Amsterdam UMC | Resilience |
Anita Yau | University of Southern California | AD |
Anitha Drewitt | National College of Ireland | Deep learning, Neural Networks, machine learning model |
ANITHA RANI PALAKAYALA | VIT-AP University | PD, Deep learning |
AnithaPriya Krishnan | Genentech | super-resolution, volume quantification |
ANITTA V J | GOVERNMENT ENGINEERING COLLEGE THRISSUR | ALZHEIMERS, MCI, NC |
Aniverthy Amrutesh | Dr Ambedkar Institute of technology | ML analysis |
aniza Aziz | xylexa | genomic data |
Anja Soldan | Johns Hopkins University | Mild Cognitive Impairment, biomakers, structural MRI, PET, CSF Abeta and Tau |
Anjalee Rabbani | City Tech | MRI biomakers |
Anjalee Somathilake | University of Colombo | Brain parenchymal factor, white matter hyperintensities, dimentia |
anjali pandey | thadomal shahani | project |
Anjali Pullabhotla | Milllard North High School | Alzheimer's Diagnosis, Artificial Neural Networks |
Anjaly Vijayan | mahatma gandhi university | alzhimers |
Anjan Chowdhury | ISI-Kolkata | functional connectivity, Alzheimer, Brain connectome |
Anjana Anand | SSN College of Engineering | Deep learning, Data Augmentation, GANs, medical image |
ANJANA SUBBA | TEZPUR UNIVERSITY | CLASSIFICATION |
anjani gss | NIT,Andhra Pradesh | machine learning project |
Anjany Sekiboyina | Technical University of Munich | machine learning, deep learning |
Anju Kirankumar | Liverpool John Moores University | Alzheimers , CNN , Deep learning |
Anjun Hu | MCGILL UNIVERSITY | activity prediction, deep learning, computer vision |
Anke Meyer-Baese | Florida State University | dynamic graph neural networks, heat equation model, biomarkers |
Ankit Gupta | Siemens Healthcare Private Limited | biomarkers imaging prediction |
ANKITA PRAMANIK | Indian Institute of Engineering Science and Technology, Shibpur | Alzheimer's, Neural Network |
Ankita Sarmah | NERIST | Alzheimer's disease, fMRI |
Ankita Sharma | Arizona State University | Alzheimer disease, federative learning |
Ankith Adam Gollamudi | Andhra University | algorithm |
Ankur Goel | Indraprastha Institute of Information Technology | Alzheimer, deep_learning |
Ankush Aggarwal | University of Glasgow | segmentation |
Ankush Azade | NITK | brain, tumor |
Ankush Karunakara Shetty | University of Southern California | dMRI microstructural measures, amyloid deposition, association |
Ankush Kumar | Independent | Graph theory |
Anmol Srivastava | Manipal University Jaipur | stage, detection, alzheimer, deep, learning, classification, research, tsvm |
Ann Gollapudi | Pine Richland HIgh School | Alzheimer's diesease |
Ann Ping | State Key Laboratory of Software Architecture | Alzheimer’s disease, deep learning |
Anna Bishop | Boston University | deep machine learning, MatLab, AlexNet, neural network |
Anna Caroli | Istituto di Ricerche Farmacologiche Mario Negri IRCCS | COVID-19 |
Anna Carroll | The Hill School | Hill School |
Anna Dewenter | Institute for Stroke and Dementia Research | cerebral small vessel disease, mixed disease |
ANNA ELSA LUIZ | ST TERESA'S COLLEGE | Prediction,analysis |
Anna Glazkova | People's Friendship University of Russia | biomarkers, Alzheimer disease, AI |
Anna Jenul | Norwegian University of Life Sciences | multiblock analysis, machine learning |
Anna Krasnova | Columbia University | mediation |
Anna Lackey | University of Manchester | CNN, Convolutional Neural Network, Artificial Intelligence, AI, Machine Learning |
Anna Loerzer | Liverpool John Mores University | Alzheimer ML Prediction |
Anna MacKay-Brandt | Nathan Kline Institute | iron, cognition, aging, MCI, AD |
Anna Malkova | University of Iowa | MMBIR, GWAS, WES, Double Strand Break Repair |
Anna Man | The University of Hong Kong | Study fMRI |
Anna Marcisz | Silesian University of Technology | alzheimer's disease, biomarkers, mild cognitive mild cognitive impairment |
Anna Marcisz | Silesian University of Technology | Alzheimer Disease |
Anna Maria Matziorinis | University of Bergen | meta-analysis, alzheimer, mild cognitive impairment, graph theory, biomarkers |
Anna Nebu | College of engineering Munnar | Alzheimer's,Structural MRI |
Anna Newman | Stanford University | amyloid, CSF, aging |
Anna Ohndorf | University Hospital of Cologne | Cortisol, Alzheimer, plasma p-tau181, Atrophy |
Anna Rubinski | LMU | Cognitive Reserve |
Anna Schroder | University College London | Alzheimer's Disease, mechanisms, subgroups |
Anna Su | School | MRI |
Anna Svenningsson | Lund University | cognition atrophy resilience reserve |
Anna Tierney | University of Manchester | Alzheimer's Disease, Complement system |
Anna Tymofyeyeva | Western University | Alzheimer's disease, cholinergic, basal forebrain, longitudinal |
Anna Vettoruzzo | Hogskola i Halmstad | Meta-Learning |
Anna Wong | MIT | dataset |
Anna Xiao | CCUT | learning |
Anna Zettergren | University of Gothenburg | polygenic risk score, CSFbiomarkers, blood biomarkers |
Annabelle Yao | The Lawrenceville School | Alzheimer |
Annalena Fuchs | University Hospital Aachen | FDG PET, dementia, metabolism |
Annamaria Vernone | Unito | Alzheimer |
Anne Bartling | Universitätsklinikum Halle (Saale) | longitudinal changes in Surface Based Brain Morphometry Measures |
Anne Benoit | UCB Pharma | biological variability |
Anne Berry | Brandeis University | dopamine, cortical thickness, cognitive resilience |
Anne Berry | Brandeis University | dopamine, cortical thickness, cognitive resilience |
Anne Biever | Genentech | biomarker AD |
Anne Woods | NCIRE | ADNI |
Anne-Caroline Cosendai | Universitätsklinikum Tulln | Repositories, clinical trial |
Anne-Cecile Lesage | MD Anderson Cancer Center | brain shift |
Annemieke ter Telgte | VASCage GmbH | small acute brain infarcts - DWI lesions - microinfarcts - deep learning |
Anni Huang | Singapore Management University | AD, deep learning, machine learning |
Annibale Antonioni | University of Ferrara | Progression of cognitive decline; pathophysiology; drug therapy; neuropsychologi |
Annick Péléraux | Sanofi R&D | data warehouse, translational medicine, Myriad RBM |
Annie Bryant | Massachusetts General Hospital | tau, perfusion, blood vessels |
Annie Lee | Columbia University Irving Medical Center | Alzheimer’s disease; vascular risk factors; Gene and Environment interaction |
Annika Linke | San Diego State University | fMRI methods, denoising |
Annika Rogers | Brown University | Alzheimer's, MRI, PET, psychological, functional, molecular |
anny reyes | university of california, san diego | neuropsychology, cognition, MCI, epilepsy |
anoop dixit | Collective Cure | Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec |
anoop dobhal | PEC Deemed to be Univerisity India | DL, ML, CNN |
ANOOP KUMAR | INDIAN INSTITUTE OF SCIENCE | Graph Algorithms; Network Embedding; Heterogeneous Representation |
anouar kherchouche | XLIM Laboratory | Alzheimer's Disease, cnn ,ai,rnn, deep learning |
Anoushkrit Goel | Indian Institute of Technology Mandi | Tractography, Tract Segmentation |
Anqi Qiu | National University of Singapore | neuroanatomical signature, CSF markers, PET |
Anqi Wu | georgia institute of technology | brain network, graph, dyanmics |
Anseh Danesharasteh | Binghamton University | Alzheimer, Dementia, Brain |
Ansgar Furst | Stanford University | Alzheimers, TBI, Veterans |
ANSHU RANI | AJAY KUMAR GARG ENGINEERING COLLEGE | Alzheimer's disease |
Anshul Jha | The University of Texas at San Antonio | Alzheimer's Disease classification, deep learning, transfer learning |
Anshul Kashyap | Dublin High School | Amyloid, Plaques, Image, Segmentation, Classification, Deep, Machine, Learning |
Anshuman Swain | University of Pennsylvania | Anomaly detection, ML/DL, myelination, DWI |
Anson Hsu | National Chengchi University | Dingke Tang |
Anson Wang | Weill Cornell Medicine | stroke cognitive impairment cortical atrophy DTI |
Ansony Rolando Medina Baca | UNIR | Alzheimer |
Antara Titikhsha Barua | Asian University for Women | AD |
Anthime FLAUS | King's College London | Deep learning, image generation, |
Anthony Bannon | AbbVie | fluid biomarkers; tau PET; amyloid PET |
Anthony Chesebro | Columbia University | Network Model, Alzheimer's |
Anthony Colombo | University of Southern California | anthony r colombo |
Anthony Gabay | IXICO | validation |
anthony galassi | National Insitutes of Health | Software Development, PET, dicom |
Anthony Griswold | University of Miami | whole genome sequencing, ABCA7, VNTR |
Anthony Guerra | University of Southern California | fMRI, Graph Neural Network, Transformers, Classification |
Anthony Jackson | University of Central Florida | C-GAN, Classification, Alzheimers, Masters Program |
Anthony Rangel | University of Southern California | neuroimaging analysis |
Anthony Rangel | University of Southern California | neuroimaging analysis |
Anthony Tran | California Polytechnic State University, Pomona | Machine Learning, CNN, Early Identification, Alzheimer's Dementia |
Antoine chenevier | ESIREM | azerty |
ANTOINE D EDOUARD | Harvard University | MCY&ALzheimer |
Antoine Delmas | Syneika | transcranial magnetic resonance target |
Antoine Désilets | Université de Sherbrooke | GPR3, GPCR |
Antoine Leuzy | Lund University | Alzheimer's, amyloid, PET |
Antoine Meijerman | VUMC/Neuroscience campus | reproducibility,ADNI1,FreeSurfer,FIRST |
Antoine Rogeau | CHU de Lille | PET, alzheimer, AI, SPM, scan, frontotemporal, dementia |
Antoine Sanner | TU Darmstadt | Segmentation, Deep Learning, Out-of-Distribution Generalization |
Antoine Soubret | F. Hoffmann-La Roche Ltd | disease progression models, biomarker time profiles, |
antoine van den ham | fontys | Multiple sclerosis, Neuro imaging, quantification |
Antoinette Martin | Korea Advanced Institute of Science and Technology (KAIST) | Deformable, Image Registration |
Anton Banta | Rice University | self supervised learning, AD classification |
Anton Danker | Royal Institute of Technology | Alzheimers Dementia Vascular Dementia Transfer Learning |
Anton Matsson | Chalmers University of Technology | ML, interpretable policy representation, sequential decision-making |
Anton Orlichenko | Tulane University | Functional connectivity, race, bias, metric learning, dictionary learning |
Anton Porsteinsson | University of Rochester | cognitive reserve, cognitive decline, metabolic reserve |
Anton Savostianov | Gran Sasso Science Institute | topological structure, brain network, stability |
Antoni Gurgui | IBEC | progression model, alzheimer disease, simulation, |
Antonia Bonfa | FHNW | machine learning |
Antonia Machlouzarides-Shalit | Inria Sophia-Antipolis | template, radiology, clinical |
Antonija Kolobaric | University of Pittsburgh | aging, prediction, mood, cognition |
Antonino Aparo | University of Verona | Gene SNPs GWAS |
Antonio Brunetti | Polytechnic University of Bari | Explainable Deep Learning; Neurodegenerative Disease |
Antonio Cano Montes | ULisboa | medical deep learning |
Antonio Costa Freire | University of Warwick | Alzheimers |
Antonio Esteves | Universidade do Minho | Alzheimer disease, deep neural network, deep learning |
Antonio Gagliardi | Sapienza, University of Rome | Alzheimer's disease, monitor the progression |
Antonio Gerardi | Sapienza Roma | thesis, deterioration, classification |
Antonio Jimenez-Marin | Biocruces Bizkaia HRI | fMRI, connectivity patterns, functional brain networks, AD, FTD |
Antonio Manuel Castilla Rubia | Universidad de Granada | Computer Vision, Machine Learning, Alzheimer, MRI, PET |
Antonio Martinez Torteya | ITESM Campus Monterrey | image based biomarkers, genetic algorithms, quantitative imaging |
Antonio Napolitano | Roche | freesurfer AD |
Antonio Ricciardi | University College London | quantitative T2, qualitative scans, early stage |
Antonio Tito | UHD | AI |
Antony konini | University of Western Macedonia | Data,Student,University,Presentation,Healthcare,Medical-Data,DL |
Antti Tolonen | Combinostics Oy | etiology prediction; disease progression; |
Anubhav Sachan | Georgia Institute of Technology | WGAN, MRI |
Anudeep Nakirikanti | Georgia Institute of Technology | Alzheimer's Disease, Healthy Aging, Machine Learning, ADNI |
Anudeep Srivatsav Appe | Indian Institute of Technology Hyderabad | Alzheimer's disease, Deep Learning, CNN, Neural Networks, Explainable features, |
Anuj Guruacharya | Amazon Web Services | tau, PET, MAPT |
Anuj Mishra | National Brain Research Centre | Bayesian inference, Non parametric, Biomarkers |
Anuj Tiwari | DPI | Deep Learning |
Anuja Acharya | KIIT University | KIIT University , Alzheimer's Disease |
Anuja Negi | Charite | Whole Brain simulation, neuromodulation |
Anujit Sarkar | University of Tennessee | food habit, Mendelian Randomization, Alzheimer's disease |
Anum Fatima | FAST National University of Computer and Emerging Sciences | skull stripping, preprocess mri |
Anup Agarwal | Lilly Avid | imaging research |
Anupa Ambili Vijayakumari | Cleveland Clinic | diffusion tensor tractography, structural and functional brain changes |
Anupa Ambli Vijayakumari | Cleveland Clinic | Alzheimer's disease, MRI, cognition |
ANUPAM SINGH | SHRI RAMSWAROOP MEMORIAL UNIVERSITY | SEGMENTATION CLASSFICATION FEATURE EXTRACTION |
Anuradha Vashishtha | KIIT UNIVERSITY | alzheimer, mri, deep learning, ADNI. |
Anurag Garikipati | Dascena, Inc | Machine learning, deep learning, MRI analysis, drug efficacy |
Anurag Garikipati | Montera Inc. | Machine Learning, Data Science, Predictive Analytics, Alzheimer's monitoring |
Anurag Tiwari | Indian Institute of Technology (BHU) | MRI, Soft computing methods, Neural networks |
Anurag Vaidya | Bucknell University | CT MRI brain |
anureet tiwana | university of alberta | co registration |
Anurenjan Purushothaman Renjini | College of Enginnering Trivandrum | Amyloid plaques, Convolutional neural network, image processing |
Anuschka da Silva Spinola | University of Coimbra | machine learning, prediction models, biomarkers, Alzheimer's disease |
Anusha A S | IISc | Machine learning, Pattern identification |
Anusha Adluru | UW-Madison | MRI |
ANUSHA RAJ | Cochin University of Science & Technology | alzheimers detection |
Anushri Jain | BARC | 3D segmentation models |
Anvita Ramesh | PES University | Classification, Prediction, Machine Learning Techniques |
Anwar Abouelenien | Alexandria University, Faculty of Engineering | Deep Learning, CNNs, LSTMs, Early Detection |
Anwar Ul Haq | University of Malakand | Image classification, dimensionality reduction |
Anwesh Badapanda | Bennett University | Semester project |
Anya Shukla | high school student | Alzheimer |
Anyin Feng | The Hong Kong Polytechnic University | tensor |
Ao Peng | University of Ottawa | Alzheimer’s Disease, data augmentation |
Aobo Zhang | Tongji University | qaz753951 |
Aonan Zhao | Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine | Alzheimer's disease;Genome-wide association study;biological markers |
Aozhou Wu | Analysis Group | Alzheimer's disease, progression patterns, prediction |
Aparajita Kashyap | Johns Hopkins University Applied Physics Laboratory | precision medicine, brain imaging, Alzheimer's Disease |
Aparna Asokan | University of Strathclyde | ML, Alzheimer's |
Aparna Deokar | Boston University | Alzheimer's, Machine Learning, Classification, Diagnosis |
Aparna Dev | Amrita University | GDL, GNN, Brain Network |
Aparna Shukla | CSIR-CIMAP, Lucknow, India | Alzheimer’s Disease, Support Vector Machine |
Aparna Vasanthakumar | AbbVie, Inc. | DNA methylation, genetics core, epigenetics |
Apoorv Saraogee | Northwestern University | Deep learning |
Apoorva S Kulkarni | JSS Science and Technology University, Mysuru, India | Machine learning, Alzheimer's |
Apoorva Safai | SIU | fmri dti t1 |
Apoorva Sikka | IIT Ropar | MRI to PET, Image Synthesis |
APOORVA SRIVASTAVA | INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR | Image scaling |
Apostolos Manolopoulos | National Institute on Aging | insulin, cerebrospinal fluid, mass spectrometry |
April Khademi | University of Guelph | brain segmentation, white matter lesions |
aqian Wang | BUAA | image segmentation |
Aqil K H | Indian Institute Of Technology | MRI,Longitudinal study |
Aqsa Khan | Case Western Reserve University | Machine Learning Algorithms, Parkinson disease, Alzheimer disease |
Aqsa Kiran | UMT | Alzheimer Disease, Deep Learning, Prediction, Machine Learning |
Aqsa Yasmeen | SS Case University | Alzheimer |
AR Khan | Prince Sultan University | FMRI |
Aram Donyaee | Islamic Azad University | machine learning, deep learning, statistical analysis, early detection, blood |
Aram Montazami | Novatek International Medical Data Systems | Cognistat, Novatek, NMDS, Alzheimer, coginitive impairement |
Arasan P M | Liverpool John Moores University | AI, Deep learning, Alzheimer’s, MCI |
Arash Kamandi | PersianGulfUniversity | brain estimation |
arash karimi | semnan university | machine learning - Alzheimer's disease |
Arash Rezaei | Tarbiat modares university | functional connectivity, Complex network, machine learning, |
Arash Sadri | Tehran University of Medical Sciences | Alzheimer's disease - Visual Hallucination - Pschosis |
Arash Salardini | UTHSCSA | sTREM2, YKL-40 |
Arash Yaghoobi | Tehran University Of Medical Sciences | GWAS-SNP- |
Arash Yaghoobi | Tehran University Of Medical Sciences | GWAS-TWAS-DMN-fMRI-SNP- |
Arash Zare-Sadeghi | Iran University of Medical Sciences | fMRI, effective connectivity |
arashk mallahzadeh | shiraz university of medical sciences | neurodegenerative,databases,help,patients |
aravind M | Student | MRI Dataset |
Aravind Mutyala | wavelabs | s |
Aravinthan Varatharaj | University of Southampton | Disease progression modelling |
Archana B | KGiSL institute of technology | AD,MRI,AI,CLAHE |
Archana Bhade | Government College of Engineering,Amravati | machine learning |
Archana Bora | ineuron.ai | Internship |
Archana Gahlaut | ARSD College, University Of Delhi | Deep Learning, Ensemble models |
Archana Iyer | MKSSS's Cummins College of Engineering for Women, Pune | Brain imaging, MRI, Alzheimer's disease, ML, Image processing, DL |
Archana M S | RMK CET | ADNI |
archana mani | poornima university | dimentia |
Archana Mani | poornima university | Artificial Intelligence, Machine Learning, Image processing |
Archana Menon P | Karpagam Academy of Higher Education | ML, DL, Disease prediction |
archana rachakonda | Ulster University | Project Work |
ARCHANA SINGH | MMMUT GORAKHPUR | DISSERTATION |
ARCHANA YASHODHAR | ST ALOYSIUS COLLEGE | ML |
Archie Pulver | The University Of Sydney | Cortical segregation using fmri |
Archit Pandey | USC's Mark and Mary Stevens Neuroimaging and Informatics Institute | ad, neuroimaging, computation |
Arda Uğurlu | Istanbul Medipol University | Machine Learning, Alzheimer's Disease |
Areesha bilal | Institute of Southern Punjab | PET scan image, brain disease, normal |
Areli Selenia Chinga Martinez | Usil | SantillaN17 |
arezoo borji | amirkabiruniversity | alzheimer-diagnosis-prediction |
Arghya Saha | Heritage Institute of Technology, Kolkata | Machine Learning, fMRI |
Ari Kappel | BWH | Connectome, Memory, Tractography |
ari tchetchenian | UNSW | AD, deep learning, AI |
Aria Motamedi Jahromi | Tehran University of Medical Sciences | mild cognitive impairment, dynamic functional connectivity, dementia |
Ariadna Puigventós | The Bridge Digital Talent Accelerator | Predict Alzheimer Final Project |
Arian Ashourvan | University of Kansas | Algebraic Topology |
Ariana Familiar | CHOP | multimodal, imaging, molecular |
Ariana Stickel | University of Arizona | Hispanic, individual differences, cognitive aging |
Ariana Stickel | San Diego State University | Hispanics, Latinos, modifiable risk |
Ariane Bollack | University College London | longitudinal, amyloid, quantification, |
Arianna Francesconi | Università Campus Bio-Medico di Roma | Multimodal Deep Learning model; predictive medicine |
Arianna Menardi | University of Padova | Alzheimer, connectivity gradient, biomarker |
Arianna MOss | University of California, Irvine | depression, dementia |
Arianna Sala | Università Vita Salute San Raffaele | amyloid tau longitudinal |
Ariba Khan | Massachusetts Institute of Technology | computer vision, deep learning, alzheimer |
ARIDEEP DUTTA | Jabalpur Engineering College | AD-alzheimer's diseases |
Ariel Graff | Universtity of Toronto | depression, amyloid, PET |
Ariel Iporre Rivas | Max Planck Institut | metric learning, machine learning |
Ariel Rodriguez | Technical University Dresden | harmonization, scanner effect, mri, brain |
Ariela Crestani | Sao Jose do Rio Preto Medical School (FAMERP) | lipid metabolism, protein modification, palmitoylation, metabolomics, lipidomics |
ARIELLE ESPENILLA | Boston University School of Medicine | proinflammatory, Cerebrospinal Fluid Biomarkers, blood |
ARIF HUSSAIN | BHADERWAH CAMPUS, JAMMU UNIVERSITY | CLASSIFICATION AND REGRESSION |
Arife Gülşah EROL | İstanbul Sabahattin Zaim University | Machine Learning, SVM, ANN |
Ariful Isla | Pabna University of Science and Technology | Memory impairment |
Arijit Bhaduri | Jaypee Institute of Information and Technology | image-classification |
Arijit De | Jadavpur University | classification; prediction; alzheimer's |
Arijit Diganto | Bangladesh University of Professionals | Alzheimer Disease Diagnosis, MRI, PET scans, ALzimers |
Arijit Mishra | Indian Institue of Science, Bangalore | Alzheimer's Disease, 3D CNN, MRI |
Arima Valan Immanuel Antony Dhanasekaran | Indian Institute of Information Technology, Design & Management | Generative Adversarial Networks, Deep Super Learners, |
Arin Kathapurkar | Merryhill School | scienceproject, sciencefair |
Arin Vansomphone | Huntington Beach High School | Machine learning, Mathematical modeling, Alzheimer's disease, Python, Julia, R |
Arindam Basu | University of Canterbury | Alzheimer's Disease, TBI, Polygenic risk scores |
Arindam Sett | Genentech | Prognosis, Diagnosis of AD |
Arineh Moradian | UCR | ADNI, access, research, UCR |
ARINJITA BHATTACHARYYA | University of Louisville | shrinkage, logistic regression, variable selection, prediction |
Aris Perperogou | GSK | Disease progression models, statistics |
Arise Hu | Beijing University of Posts and Communications | computer-aided diagnosis |
Aristeidis Sotiras | Washington University in St. Louis | non-negative matrix factorization; support vector machines; deep learning; |
Ariston Goeke | The Hill School | Hill School |
Aristotle Voineskos | Centre for Addiction and Mental Health, University of Toronto | neuroimaging, cortical thickness, genetics, alzheimer, cognitive impairment |
Arjun Adapa | University of Michigan | Segmentation, Image Analysis, Hydrocephalus |
Arjun Masurkar | NYU School of Medicine | hippocampus, neuropsychiatric |
Arjun Muralidharan | Wayne State University | mitochondrial mutations |
Arjun Punjabi | Northwestern University | deep learning, data fusion |
Arka Bhowmik | Memorial Sloan Kettering Cancer Center | Data science research |
Arkadiusz Kwasigroch | Hasso Plattner Institute | deep learning, self-supervised learning |
Arkaprabha Ganguli | Michigan State University | Alzheimer’s disease, High dimension valariable selection, nonrandom nonresponse |
Arkaprava Roy | University of Florida | Connectome, dMRI |
Armaghan Zahid | Bahria University | Alzheimer, Deep Learning |
arman atalar | Eskisehir Osmangazi University | deeplearning, alzheimer disease, apoe4 |
Arman Avesta | Yale University | Deep learning, image segmentation, structural brain MRI |
Arman Kulkarni | University of Wisconsin, Madison | Machine learning, PET, MRI, Alzheimer's Disease, Mild Cognitive Impairment |
Arman Rahimi | Semmelweis university | Alzheimer |
Armand González | BarcelonaBeta Brain Research Center | Biomarkers, Aging |
Armen Grigoryan | Bioentech LLC | ALZHEIMER MRI MACHINE LEARNING |
Arnab Giri | Jadavpur University | Image processing analysis of alzheimer's disease |
Arnaud ATTYE | Grenoble University Hospital | machine learning ; Structural MRI ; phenotype |
Arnav Jain | Albert Einstein College for Medicine | Alzheimer's |
Arnd Sörensen | Medical Center - University of Freiburg | FDG PET; Cox Regression |
Arne Grundstad | AbbVie | AbbVie ADNI |
Arnold Bakker | Johns Hopkins University | Entorhinal Cortex |
Arnold Evia Jr. | Rush University Medical Center | amyloid, tau, PET, correlation |
Arnold Teo | Kungliga Tekniska Högskolan (KTH) | T1-weighting, T2-weighting, Computer-Aided-Diagnostics |
Arnon Friedmann | personal | ADAS |
ARPIT MITTAL | MEERUT INSTITUTE OF TECHNOLOGY | alzheimer, prediction, disease, ml |
Arpita Parakh | Ramdeobaba college | ALZHEIEMER |
Arron Lacey | Alzhiemer's Research UK / Alan Turing Institute | trajectory modelling, dimensionality reduction, model validation |
Arsal Wildan Naviaddin | Brawijaya University | arsal |
Arsalan Hashemiaghdam | Yale University | Cognition, Alzheimer's disease |
Arsalan Rahimabadi | Concordia University | Tauopathies, Modeling and SImullation, PET images, DWI Imaging |
Arsen Arakelyan | Institute of Molecular Biology NAS Armenia | spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis |
Arshdeep Kaur | Central University of Punjab | Alzheimer’s disease, machine learning, CNN |
Arshin Soltan Bayazidi | Amirkabir University of Technology | Biostatistics, Statistical Analysis, Alzheimer's Disease |
Arshiya Aggarwal | Manipal University (MUJ) Jaipur | Alzheimer's, MCI, Early diagnosis, Convolution Neural Network |
Arshiya Hussain | Manipal University Jaipur | Alzheimer dataset |
Arslan Analytics | VisionNet | MRI T1 scans |
Arslan Siraj | jeonbuk national university, South korea | research work |
ARSYA M | Amrita Vishwa Vidyapeetham | PROJECT |
Art Noda | Stanford University | ROC biomarkers |
Artem Razumov | Skolkovo Institute of Science and Technology | k-space, mri, image reconstruction |
Artemii Nikitin | University of Helsinki | tutorials |
Artemis Zavaliangos-Petropul | University of Southern California | HARP; hippocampus |
Arthur Hamilton | Carleton University | MRI, fluid-attenuated inversion recovery, cognitive reserve, white matter |
Arthur shelby | TianGong University | brain age, deep learning, structural MRI, |
arthur toga | usc | informatics |
Artin Majdi | university of arizona | Alzheimer , Hippocampus , Thalamus , PhD thesis , deep learning |
Artur Shvetcov | Black Dog Institute | Artificial neural network, prediction, diagnosis |
Arturo García | Tecnologico Nacional de Mexico, Instituto Tecnologico de Tijuana | MRI, CNN, Alzheimer |
Arturo Linares | Pontificia Universidad Catolica del Peru | Alzheimer, Transparency in decision-making, Early stage, PET-Tau, PET-Amyloid |
Arul Elvis Jesudoss | BITS, Pilani | MRI scan, Support Vector Machine, Discrete Wavelet Transform, PCA |
ARUMUGAM J | Pondicherry University | Alzheimer's disease |
Arun Bokde | Trinity College Dublin | MRI, grey matter, volumetric, hippocampus |
Arun kumar S | KCT | CAD |
Arun Mohan | Amity University Uttar Pradesh | PET image, Deep Learning, Image Processing, Alzheimer |
Arun Prakash K | NIT Jalandhar | AI in medical |
Arun Thirunavukarasu | Singapore Eye Research Institute | automated machine learning, autoML, diagnosis, clinical features, MRI features |
Arun Venkataraman | University of Rochester | amyloid, diffusion MRI |
Arunabha Saha | Vidyasgar College, University of Calcutta | Alzheimer's disease detection, Machine learning, Image processing |
ARUNACHALAM V | THAMIRABHARANI ENGINEERING COLLEGE | NEURO IMAGING TECHNIQUES DEEP LEARNING |
Arunesh Dutt | university of Allahabad | Alzheimer, A.I, ML , DL |
Arunesh Mittal | Columbia University | Machine Learning, State Space Model, Factor Analysis |
Arunima Kapoor | Sunnybrook Health Sciences Centre | Cognition; Functional Outcome; Alzheimer’s disease |
Aruta Niimura | Milliman Inc. | SyntheticCT |
Arvind Caprihan | The Mind Research Network | White Matter damage, FLAIR, Diffusion, CSF |
Arvind KUMAR | KTH ROYAL INST OF TECHNOLOGY | network structure, controlability, bi-directional connections |
arvind kumar | amrita | machie learning |
Arvind Vepa | University of California, Los Angeles | Machine Learning, Medical Diagnosis |
Arvis Sulovari | Cajal Neuroscience | genetic associations, patient subgroups, neurogenetics |
Arya Ganesan | Academies of Loudoun | Tau, Alzheimer's Disease, Segmentation |
Arya Mohan | Univ.AI | Machine Learning, Predictive Modeling, Decision Trees |
ARYA SARKAR | N.A | Machine Learning |
Aryabrata Basu | University of Arkansas at Little Rock | Genomic, MRI imaging, patient demographics |
Aryan Mishra | Vellore Institute of Technology | Capstone |
Aryan Sabounchi | Shahid Beheshti university | Bayesian statistics,deep learning |
Aryan Singh | University of Limerick | Alzheimer classification, GNN |
Arzu Coltekin | University of Applied Sciences and Arts Northwestern Switzerland | machine learning, deep learning, automated data analysis |
Arzu Has Silemek | Cedars Sinai Medical Center | Functional and structural connectivity, strength, degree, shortest path length |
Asa Kalonga | Aspire Analytics | AD |
Asaad Waqar | University of Sargodha | neuroimaging, neuro |
Asad Iqbal | Comsats University, Islamabad | AI, Deep Leaning, Medical Image Analysis |
Asako Yasuda | Nippontect co ltd | cognitive changes, MCI |
asd sss | shanghai martime university | dFC, AD, HC |
Asef Mahdavi | Azad University | MRI data, EEG, data fusion |
Asghar Ali | Harbin University | deep learning |
Asha Aher | San Jose State University | Machine Learning Alzhmeirs |
Ashapriya Sebastian | Birmingham City University | Dementia |
Ashis Gangopadhyay | Boston University | Alzheimer's disease, predictive modeling, rare events |
Ashish Bajpai | Cognizant | Predictive Alzheimer Disease Progression using both the PACS & EMR data |
Ashish Bodla | Self | Grand Challenge |
Ashish Chinthala | ABV-IIITM | Machien learning, deep learning |
Ashish Gupta | Independent Researcher | Machine Learning, Deep Learning |
ASHISH MISHRA | UNIVERSITY OF ALLAHABAD | ARTIFICIAL NEURAL NETWORK |
ASHISH MISHRA | UNIVERSITY OF NEVADA LAS VEGAS | NEUROSCIENCE, NEUROIMAGING, GWAS, ALZHEMERS, DEEP LEARNING |
Ashish Sahib | Lundbeck | PET, MRI , Deep learning. |
Ashish Thapliyal | Graphic Era Deemed to be University Dehradun | Protein Protein Interaction, Biomarker, Neuro-degenerative disorders |
Ashishi Puri | IIT Roorkee | Diffusion tensor imaging |
Ashkan Dashtban | University College London | Brain Imaging, Cognitive Impairment |
Ashkan Fatemi | mashhad university of medical science | dementia, metabolomics |
Ashleigh Parker | University of Victoria | Alzheimer's Disease, Subjective Cognitive Decline |
Ashley Carter | Mass General | Alzheimer Disease |
Ashley De Luna | University of California, Merced | classification, neural networks |
Ashley Hannah Sanderlin | Michigan State University | Mild Cognitive impairment, neuropsychiatric symptoms |
Ashley Holton | MIT | Alzheimer's, machine learning |
Ashley Lam | Einstein College of Medicine | Alzheimer's Disease, MRI, Neural Network |
Ashley Lee | University of Arkansas | MCI, Alzheimer's, Random Forest, Prediction |
Ashley Luo | Shenzhen College of International Education | risk factors |
Ashley Nguyen | Pepperdine University | neuropsychology, dementia, alzheimers, cross-cultural |
Ashley Onumonu | John Hopkins Applied Physics Lab | Connectomes |
Ashley Stokes | Barrow Neurological Institute | entropy, diffusion, perfusion, fMRI, biomarkers |
Ashley Walton | Mass General Hospital | MRI, stage, alzheimer's |
Ashlyn Roice | Mountain House High School | Alzheimer's disease, GANN, adversarial machine learning |
Ashmita Ramkhelawon | UOM | Alzheimer's dataset |
Ashok Arora | ABV - Indian Institute of Information Technology and Management, Gwalior | interpretability, healthcare |
Ashraf Rashid | IIT Indore | Deep learning, Transfer learning, Alzheimer's disease |
Ashray Gattani | DJSCE | alzheimer's disease,fedml |
Ashray Gattani | Dwarkadas Jivanlal Sanghvi ENgineering College | Alzheimer, Distributed Learning, CNN |
Ashutosh Mishra | Thapar University | DeepLearning, Ensamble Learning |
Ashwani Kumar Malik | Indian Institute of Technology Indore | Alzheimer disease, machine learning |
Ashwath Raj | USC | Post-processed Structural Images, Freesurfer, Control Normal |
Ashwin J V | King George Medical University | Transfer learning, cognitive disorders, MRI of brain and CT brain. |
Ashwin Jadhav | Enlitic | Head MRI, Machine learning |
ASHWIN KUMAR | RAMAIHA UNIVERSITY OF APPLIED SCIENCES | Alzheimers Detection, MRI |
Ashwin Kumar Uniyal | Newcastle University | Natural Language Processing |
Ashwin Kumar Uniyal | Newcastle University | NLP, Self supervised learning |
Ashwini kumar Pal | NA | NA |
asi yusi | National College of Technology | Tomo0723 |
Asier Erramuzpe | Mondragon Unibertsitatea | AD structure function preprocessing MRI |
Asif Rasheed | Lakehead University | Alzheimer's disease, machine learning, comparative analysis |
Asim Iqbal | Cajal Neuroscience | Alzheimer, Parkinson |
Asim Samli | Bogazici University | super resolution, deep learning |
Asimina Aglamisi | Uiversity of West Attica | master, biomedical technology, thesis |
Asis Heriberto Rangel Ortiz | Universidad Autónoma de Querétaro | ADNI Challenge Missing data Kaggle Datasets |
Asish swain | IIT JODHPUR, INDIA | neuroimaging |
Asit Kumar Lenka | KIIT | Alzheimer's diseases. |
Aslan Modir | Sahand university of Technology (SUT) | MCI, Alzheimer's disease, AD, connectivity, deep learning, BOLD signal |
Asma Hallab | Charité Universitätsmedizin Berlin | neuropsychiatric investigation, depression scale |
Asma Mahgoub | Hamad Bin Khalifa University | Machine Learning, Dementia, Classification, Model Building |
Asma Naseer | National University of Computer and Emerging Sciences | Computer Automated Diagnosis |
Asma Nasr | Asmanasr | Alzheimer's |
ASMA NAZ SHARIQ | COMSATS UNIVERSITY | MRI images, Alzheimer's Disease, Machine Learning |
asma shaheen | University of Udine | Alzheimer, segmentation, Convolutional neural network |
Asmaa Goda | Bani Suef university | Alzheimer's disease, Alzheimer's detection , deep learning |
Asmaa Rassil | university Chouaib Doukkali | Reinforcement Learning, Genarative Modeling, Alzheimer’s Disease Prediction |
Asmita Goswami | Motilal Nehru National Institute of Technology | Early Alzheimer's Disease Detection, Machine Learning, ADNI Dataset |
Asmita Goswami | Motilal Nehru National Institute of Technology | Alzheimer's Disease Prediction, ADNI Dataset |
Asrar Alharthi | Taif University | MRI |
Assaf Gottlieb | UTHealth | AD, FTD |
Astrid Melani Nainggolan | Universitas Sumatera Utara | EfficientDet, Alzheimer, MRI |
Astrid Wachter | Abbvie Deutschland GmbH & Co. KG | biomarker identification |
Aswini Kumar Patra | NERIST | neuro-imaging, genetic algorithm, VBM |
Atanu Bhattacharjee | Tata Memorial Centre | Joint longitudinal modeling, time to event data, biomarker |
Atefe Aghaei | Shahid Beheshti University | image processing, segmentation, feature extraction, deep learning, classificatio |
Atefe Hajian | Isfahan University of technology | Graph convolutional network, Interpretable AI, Brain Graph |
Atefeh Gholami | Khajeh Nasir Toosi University of Technology | Alzheimer's disease, Artificial intelligence, Deep learning, Machine learning |
Athanasios Tragakis | University of Glasgow | thanos2021! |
Athanasios Tsanas | University of Oxford, Oxford, UK | Signal processing, statistical machine learning |
Atharvan Dogra | Thapar Institute Of Engineering And Technology (Patiala, Punjab) | Research, Computer Science, Federated Learning, Artificial Intelligence |
Atharwa Wagh | Amrita Vishwa Vidyapeetham | Vision transformer, Alzheimer's Disease classification, Computer Vision |
Athena Chen | University of California, Berkeley | machine learning, classification, prediction, neural network |
ATHENA GEORGE | COLLEGE OF ENGINEERING TRVANDRUM | Alzheirmer's disease dataset |
ATHENA GEORGE | COLLEGE OF ENGINEERING TRVANDRUM | Alzheirmer's disease dataset |
Athira B | TKMCE | Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise |
Atif Mehmood | Xidian University | images |
Atif Mehmood | Xidian University | images |
Atif Mehmood | Zayed University | Alzheimer's disease |
ATIF MEHMOOD | KTH Royal Institute of Technology | Alzhimers, Tractpgraphy, classifcation, connectome |
Atif Riaz | City University, London | Deep Learning, classification, |
Atif Riaz | City, university of London | Deep Learning, fMRI, AI |
Atif Riaz | City University of London | fMRI, classification, deep learning, end-to-end networks |
Atika Syeda | University of Oxford | Brain complexity alzheimer's |
Atila Gokcek | Ataturk Sanatorium Training and Research Hospital | brain PET, dementia, Alzheimer |
ATILAY YESILADA | IZMIR KATIP CELEBI UNIVERSITY | alzheimer, transfer learning |
Atita Suwannasak | Chiang Mai university | Deep learning, MRI |
Atith Gandhi | Georgia Institute of Technology | Multi-Modal, Alzheimer, Health Informatics |
Atiye Riasi | K. N. Toosi University of Technology | Alzheimer’s Disease, Deep learning, Artificial intellig |
Atlas Haddadi | MUMS | U-net, segmentation, medical image analysis, deep learning |
Atsushi Ito | Chuo University | brain wave, dimentia |
Atsushi Iwata | The University of Tokyo | J-ADNI |
Atsushi Yamaguchi | Graduate School of Medicine, Chiba University | dementia, tractography, fMRI |
Attique Ur Rehman | NUST | disease prediction, Machine learning |
ATUL KUMAR | LUND UNIVERSITY | GENOMICS, PROTEOMICS, ALZHEIMER |
ATUL MATHUR | TEERTHANKER MAHAVEER UNIVERSITY | ALZHEIMER'S DISEASE |
Atulya M S | LeWagon | Alzheimer's disease detection deep learning |
Atulya Reddy | University of WIsconsin-Madison | biomaker, EBP |
Audil Hussain | Lovely Professional University | Machine Learning |
Audrey Duran | TheraPanacea | amyloid-PET - image translation |
Audrey Lovina Yudiono | Sepuluh Nopember Institute of Technology | TD-CNN-LSTM, AD, MRI sequence, multi-class |
Audrey Low | University of Cambridge | small vessel disease; amyloid; tau |
August King | peiking university | Alzheimer’s disease dementia assessment |
August Smit | Vrije Universiteit Amsterdam | Alzheimer tissue proteomics |
August VanHout | University of Michigan | Variational Autoencoder, university, machine learning, methods |
AUGUSTO ANGUITA-RUIZ | ISGLOBAL | EXPOSOME MIXTURE EXPOSURES MODELLING |
Augusto J. Mendes | Université de Genève | atn model apoe |
Augusto Silva | University of Aveiro | Radiomics, Information fusion |
Aura Puche | Universidad de Antioquia | fMRI, MRI, Voxel-based, graph analysis |
Aurelia Leona | Boston University | Alzheimer's |
Aurelian Radu | Icahn School of Medicine at Mount Sinai | Alzheimer's disease, mild cognitive impairment, blood biomarkers; |
Aurelie Bussy | McGill University | Hippocampus Segmentation Aging Alzheimer's Disease |
Aurélie Pistono | Ghent University | language |
Auriel Willette | Iowa State University | MRI volumetrics; FDG-PET; mass spectrometry; biomarkers |
Aurora Femat | Universidad Autónoma de Querétaro | image processing, gray matter, ventricles |
Austin Briley | University of Tokyo | Alzheimer's disease diagnosis, CNN, pooling techniques, fuzzy theory |
Austin Le | University of California, Berkeley | PET, beta-amyloid, tau |
Austin Tapp | Children's National Medical Center | normative; atlas; calvaria; segmentation |
Autin Mitra | Thomas Jefferson High School of Science and Technology | Machine Learning, Alzheimer's, Computer Vision |
Avalon Campbell-Cousins | The University of Edinburgh | Brain networks, brain activity, fMRI, DTI |
Averi Giudicessi | Columbia University | Alzheimers, Sex differences |
Averil DU | ShanXi Medical University | Aa123456 |
avigail grinstein | Hebrew University of Jeruslem | AD, prevention, data |
Avik Jain | SRM Institute of Science and Technology Channai | image_processing, CNN, AI, |
Avinash Chandra | King's College London | Alzheimer's disease; amyloid; tau; genetics |
Avinash Chandra | Queen Mary University of London | MCI, AD, lifestyle risk, dementia prevention |
avishay david Malka | weizmann institute of science | DL, ML, Cancer |
Avizit Chandra Adhikary | Florida State University | Disease progression, Deep Learning |
Avram Bukhbinder | McGovern Medical School of University of Texas Health Science Center at Houston | Structural, Diffusion, NDDs, NPH |
Aw Hui Yee | University Malaysia Perlis | Alzheimer disease |
awaas mohammed | University of Hull | dissertation |
Awan Afiaz | University of Dhaka | Causal Inference, Joint Modeling, Longitudinal Data |
Aws AL-ZARQAWEE | Universiti Malaysia Pahang | CNN,Softmax |
AXEL RODRIGUEZ | AXEL RODRIGUEZ | AD, AI, LCFs |
Aya abdelaziz | University of brothers mentouri | PhD Bioinformatics Alzheimer prediction Deep Learning |
aya adel | cairo university | classification |
Aya Ali | Nile university | Master project, data fusion, disease detection |
aya ben abdallah | enetcom | brain , hippocampus , MRI , alzheimer 's , segmentation |
Aya Fergany | university of helwan | 123 |
Aya Galal | American University in Cairo | Machine Learning, multi omics, integrative, predictive, modeling |
Aya Hassouneh | Western Michigan University | Alzheimer’s |
Aya Kabbara | Lebanese university | mri, alzheimer |
Aya Musleh | University of Southern California | Data science. Neuroimaging and Informatics, masters |
Ayad TakiEddine | badji mokhtar university | diagnosing alzheimer |
ayah moustafa | Mansoura university of Egypt | Alzheimer's detection, deep Learning |
ayah moustafa | Mansoura university of Egypt | Alzheimer's detection, deep Learning |
Ayan Mandal | University of Cambridge | genetics, cortical thickness, atrophy |
Ayantika Das | HTIC,IITM | Classification of brain MRI |
Aycan Cagri Emen | Middle East Technical University | linear mixed effect models, longitudinal data, statistical analysis |
ayda pirvaram | azad university | Alzheimer’s disease , FBB PET result , |
Aye Tun | National Chi Nan University | Wasserstein distance, Hyperbolic, shape indexing |
Ayesha Ahmed | University of Edinburgh | ALZHIEMERS,CNN,MACHINE LEARNING,MRI,PET |
Ayesha Bibi | University of Gujrat | Alzheimer's disease |
Ayesha Jadoon | Istanbul Medipol University | Deep learning, CNN |
Ayesha Sultana | Sjce | Alzimers disease |
Aymen Chaouch | LABTIM | image fusion |
Aymen Omar | University of Strathclyde | Alzheimer |
Aymen Sekhri | ENSSTIC | Machine learning, Data preprocessing |
AYNUR ÇOBAN | Gazi University | cerebellum pons MRI volumetric MRI mild cognitive impairment Alzheimer's disease |
Ayodeji Ijishakin | University College London | Deep Learning, Generative Modelling, Neurodegenerative research. |
Ayoub Assmi | Ecole Nationale Supérieure d'Arts Et Métiers | Alzheimer's disease - MRI images - machine learning-artificial intelligence |
Ayoub GUEDDOU | Qynapse | qynapse t1 brain mri healthy |
AYOUB MASHATE | Firecode | deep learning |
Ayumi Yamada | Fujita health University | MCI, prediction |
Ayush Aneja | Thapar Institute of Engineering and Technology | Machine learning project |
Ayush Doshi | University of Virginia | Spherical deconvolution, 3-tissue extraction, Deep learning |
Ayush Dubey | R.V College of Engineering | Alzheimer |
Ayush Dutta | Sri Ramakrishna €engineering College | CNN alzheimer project |
Ayush Gupta | IIT Delhi | NA |
ayush kumar | vellore institute of technology | alzheimers level prediction ml |
Ayush Sharma | Malviya National Institute of Technology, Jaipur | Brain disorder diagnosis and analysis |
Ayush Srivastava | IIT Kharagpur | Machine Learning |
AYUSHE GANGAL | G.B. Pant Govt. Engineering College | neural networks, deep learning |
AYushi Joshi | University of Massachusetts Amherst | NA |
Ayushri Arora | Jktech | Alzheimer's classification |
Azade Farshad | Technical University of Munich | Deep Learning, Self-supervised learning, Multi-modal representation learning |
Azadeh Noori Hoshyar | Federation University Australia | reinforced learning, dementia |
Azam Sajjadi nasab | Hamedan university | AZAM |
Azhaar Ashraf | Imperial College London | Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin |
Azhagammal SC | IIIT | Parkinson's |
Azhagammal SC | IIIT | ADNI2, fMRI |
Azhar Anees | University of westminster | Quantum Machine Learning, Alzheimer's, Automation, MRI |
Azhar Molla | Vanderbilt University | Distortion Correction, fMRI |
Azian Azamimi Abdullah | Universiti Malaysia Perlis | Alzheimer’s disease (AD), MRI, machine learning, prediction tool |
azin moradi | sepahan | alzheimer disease regions of interest classification |
Azin Shokraei Fard | The University of Queensland | MRI, PET |
Aziz Ulug | Cortechs Labs | diffusion, multishell, Azheimers |
azizeh akbari | Hakim Sabzevari University | fMRI- alzheimer's disease- ADNI |
Azmain Kabir | Brac University | Federated Learning, Machine Learning, Deep Learning, ADNI Dataset, IoMT |
Azmat Ullah | COMSATS university Islamabad, Lahore Campus | dementia, alzeimers, dataset |
Azubuike Nzegwu | Leeds Beckett University | Alzheimer, Dementia, Machine Learning |
B Narasimhan | BITS GOA | Deep Learning/Machine Learning |
b prithiraj | IIIT BBSR | Alzheimer's disease |
B Sn | ASU | artificial intelligence |
B. Lei | Shenzhen University | classification |
B.T. Thomas Yeo | National University of Singapore | machine learning, resting-state fMRI |
B.VENKATA RAJU | svu | MRI |
Babak Afshin-Pour | BioSymetrics Inc | Biomarker, data fusion, Alzheimer |
Babak Ardekani | Nathan Kline Institute | MRI; Corpus callosum; shape analysis; |
Babak Asadpour | Shahid Beheshti University of medical sciences | Alzheimer's disease, magnetic resonance imaging, white matter hyperintensities |
Babak Aslani | George Mason University | causal learning, Mixed-type data |
Babak Shahbaba | UC Irvine | Statistical machine learning, high dimensional data analysis |
Babangida Zachariah | Kaduna State University | Prediction, Alzheimer's Disease |
Babatunde Falohun | University of Houston | Neurlogical System Monitoring, Cerebral Center Mapping, Biomedical Imaging |
Babatunde Khalidson | University of St Andrews | Image Classifier |
Babylakshmi Muthusamy | Institute of Bioinformatics | Bioinformatics, Genetics |
Badal Gami | Delhi Technological University | Artificial Intelligence, Dementia, Machine Learning, Deep Learning |
Badal Gami | Delhi Technological University | Multimodal Analysis, Dementia, Feature Extraction |
Badar Almarri | King Faisal University | AD, Machine Learning, Feature Selection |
Badar Almarri | King Faisal University | AD, Machine Learning, Feature Selection |
Badri Vardarajan | Columbia University | NGS, WGS, rare mutations |
Baha Ihnaini | Wenzhou Kean University | Alzheimer Disease Prediction |
Bahaaldin Helal | Western University | Parkinson's disease, Alzheimer's disease, Neuroimaging, MRI, Machine learning |
Bahadır Tatar | Çankaya University | ADNI Dataset,Biomarkers, Alzheimer's Disease |
bahar hashemi | University | deep learning, Alzheimer's disease |
Bahar Shafi naderi | shahid beheshti university | dementia Alzheimer deep learning A.I. |
bahar torabi | qazvin azad university(QIAU) | alzheimer, MRI, diagnosis |
Bahar Yalcinkaya | Aix Marseille University - INSERM | virtual brain, AD, pathological ageing |
bahareh asadpour | ferdowsi university of mashhad | research, sMRI, AD, alzheimer's disease |
Bahareh Nakisa | Deakin | Teaching |
Bahareh Yavarizadeh | Brock university | linear regression |
Bahir Salisu Isa | SSN College of Engineering | Parkinson's disease, Progression |
Bahram Mohajer | Tehran University of Medical Sciences | Imaging genetics, Behavioral neural sciences, MCI to Alzheimer's progression |
bai yang | North China Electric Power University | artificial intelligence |
Bai Yijun | Nanjing University | deep learning, mutimodal, |
bai Yongxin | Renmin university of China | variable selective additive model |
bai yongxin | Renmin university of china | partial functional smoothed quantile regression |
Baidar Bukht | University of Rostock | CNN |
BAIJAYANTI MALA SAHOO | MAULANA AZAD NATIONAL INSTITUTE OF TECHNOLOGY | REASERCH PURPOSE |
Baijiang Yuan | University College London | CNN, YOLO4,Object detection, Computer science |
Baik Da young | Hankuk University of Foreign Studies | medical image analysis with deep learning |
Bailey Krueger | Wright State University | Brain, MRI |
Bailey Sanden | University Of Pittsbrugh | Longitudinal Modeling, Changed Variables, Pattern Recognition |
Bailiang Jian | Technical University of Munich | medical image registration, longitudinal analysis |
Baillie Wheatley | University of Newcastle | skull-stripping |
Baiqing Sun | Northeastern University (China) | Alzheimer's disease |
Baisen Liu | Dongbei University of Finance & Economics | functional data analysis, Cox proportional hazards |
baixue huang | Jiangsu University | brain network |
Baizhou Pan | Penn State University, MCNL lab | computational neuroscience, fMRI, CSF, neuroimaging |
Balaji E | PSG College of technology | Deep learning , CNN, V3 inception model |
balaji kannappan | chosun university | hippocampal subfield |
Balasrinivasa Sajja | University of Nebraska Medical Center | MRI, Genomic, Neural Networks, AD |
Balasubramanian Sivasankaran | ELAIT IT TECHNOLOGY SERVICES PRIVATE LIMITED | Alzeimer |
Balazs Toth | Genentech | disease progression, endpoint |
Banafsheh Shakibajahromi | University of Pennsylvania | Alzheimer disease, cognition, dementia, white matter hyperintensity |
Banan Alhadlaq | Imam Mohammad Ibn Saud Islamic University | Alzheimer's disease , data mining , machine learning , Artificial intelligent |
Bang Tran | University of Nevada, Reno | MRI, Deeplearning |
Bang Zheng | Imperial College London | plasma amyloid, CSF amyloid |
Bangjun Li | Shandong University, China | MRI |
bangming gong | shanghai university | multi-view, medical imaging |
Bangsheng Wu | Shanghai Medical College, Fudan University, Shanghai, China | Alzheimer's disease, progressive pattern |
Banibrata Maiti | INDIAN STATISTICAL INSTITUTE | CNN, Deep learning |
Bao Bui Ngoc | Jeonbuk National University | Computer Vision, pattern recognition, segmentation |
baobao xiao | shanghai | 121 |
Baochi Li | zhengzhou university | Alzheimer,ADNI program,open data sets |
baofang ke | Central South University | tensor,gee,quantile |
Baolin Chen | Shanghai Uiversity of Finance and Economics | functional data analysis, samples of density functions |
Baoling SHAN | University of Technology Sydney | graph learning, brain networks |
Baoru Zhao | Fujian University of Traditional Chinese Medicine | neuroimaging |
Baoru Zhao | Fujian University of Traditional Chinese Medicine | neuroimaging, cognitive function |
BaoYu Zhao | 长春理工大学 | 深度学习算法提高诊断准确率 |
BaoZuPeng BaoZuPeng | China Jiliang University | Research |
Baptiste Couvy-Duchesne | Institute of Molecular Bioscience | Advanced brain aging, prediction, structural MRI |
BARAA RAYED | Tekirdag Namik Kemal Unviversity | Hippocampus Segmentation using Convolutional Neural Networks |
Baran Aydogan | University of Eastern Finland | diffusion MRI, microstructure analysis, tractography, connectivity |
Barbara Brito Vega | IXICO Ltd | PET, MRI |
Barbara Engelhardt | Princeton University | Association studies, GWAS |
Barbara Marebwa | MJFF | connectomics |
Barbara Wendelberger | Berry Consultants | Alzheimer's Disease, disease progression, biomarkers |
Bardia Khosravi | Students Scientific Research Center | Deep Learning, Neural Networks, Machine Learning |
Baris Baydargil | Kyungsung University | Alzheimer's disease, Medical Imaging, Deep Learning, Meta Learning |
barış genç | ondokuz mayis university | FMRI,ADNI |
Baris Metin | Uskudar University | Alzheimer, DTI |
Barnaly Rashid | Harvard Medical School | White Matter Signal Abnormalities (WMSA); White Matter Lesion; Parcellation |
Barnaly Rashid | Niji Neuroscience | Aging, Alzheimer's Disease and dementia, structural imaging analysis tool |
Barnaly Rashid | MGH | MRI, white matter lesion |
Barry Nuqoba | Singapore Management University | Causal Discovery |
Barsha Tripathi | Pokhara University | Single-Cell RNA Sequencing |
basar demir | unc | brain imaging |
Basharat Ali | UET PESHAWAR, Pakistan | Deep learning, Machine learning |
basheer saeed | none | student, university, project |
Basil Ridha | University College Hospital | inclusion body myositis, neuropsychological profile |
Basma Jaber | Goldsmiths, University of London | Recurrent Neural Network, Alzheimer's Disease. |
Basri erdogan | Bogazici University | Alzheimer's disease, deep learning, cnn |
Bassam Al-Fatly | Charite University Medicine | fMRI, DTI, connectivity, severity |
Bastian Jung | Chalmers University of Technology | Time Series, Prediction, Machine Learning, AI |
Bastian Rieck | ETH Zurich | topological data analysis, topology, connectivity, persistent homology, TDA |
Batool Rizvi | Columbia University | white matter hyperintensities, cortical thickness, blood pressure, aging |
Batoul Diab | Tarbiat Modares University | Alzheimer's, deep learning, artificial intelligence |
Battle Chen | FZU | multi-modal |
BATUHAN KARAMAN | CORNELL UNIVERSITY | MACHINE LEARNING, DATA MISSINGNESS, VARIABLE TIMING, MULTI-MODAL DATA |
Batur Çiftçi | Yeditepe University | . |
Baxter Rogers | Vanderbilt University | longitudinal, structural, functional |
bayoudhi rihab | enetc'om | Segmentation |
Bean Jered | Tianjin Medical University | Genetics |
Beata Gyorgy | ICM | gwas, personalised medicine, longitudinal analysis |
beata lee | 郑州大学第一附属医院 | Mendelian randomization, multi-omics data |
Beatrice Costa | University College London | r programming, neurodegeneration, workshop |
Beatrice Demiray | Technical University Munich, Germany | Deep Learning; Neural Networks; Detection; Segmentation; Multi-Modal |
beatrice samuel | vellore institute of technology | deep learning,Alzheimer’s Disease |
Beatriz Cepa | University of Minho | image pre-processing; high-performance computing; parallelization |
Beatriz Coretti | Faculdade de Medicina de Ribeirão Preto | SARS-CoV-2, [18F]FDG PET/CT, PMOD Technologies, brain images, quality control |
Beatriz Padrela | Amsterdam UMC | Machine Learning |
Bechir Jamoussi | MedTech - Mediterranean Institute Of Technology | Alzheimer, Deep Learning |
Bedria Durdana | BRAC University | Alzheimers, ND, MRI |
Begüm Burhan | Çukurova University | brain lesions, comparison study |
Begüm Erkal | Başkent University | demance, alzheimer |
Behdad Khodabandehloo | University of Tehran | Machine Learning, Classification |
Behnam Karami | Shahid Beheshri University | deep learning |
Behnaz Gheflati | Concordia University | Generative adversarial networks, data augmentation |
Behnaz Jafari | University of Calgary | fMRI, EEG, Neural Network, integration, Alzheimer's |
Behrooz Ghane | University of Isfahan | Deep Learning |
Beibei qi | Jingdezhen Ceramic University | Access to Alzheimer's data |
Beibei QI | Jingdezhen Ceramic University | Get patients data, thank you very much. |
Béla Weiss | Research Centre for Natural Sciences | prediction, modeling, machine learning, Alzheimer’s disease, cross-validation |
BELABIED Redouane | esi | MRI, AI model, CNN, Medical imaging |
Belal Fars | Future University in Egypt | Machine learning - Deep learning - Diagnosis - HIS |
Bella Milan-Chhatrisha | King's College London, GKT School of Medical Education | Automatic segmentation, MAPER, ADNI |
Ben Duffy | USC | QC |
Ben Fleming | University of Birmingham | Convolutional Neural Network, Multi-Class Classification, Reccommendation |
Ben Isselmann | University of Applied Science Darmstadt, Germany | Alzheimer's disease, deep learning, classification |
Ben Jeurissen | University of Antwerp | diffusion, fixel-based, constrained spherical deconvolution |
Ben Life | University of British Columbia | whole genome sequence, regulatory variants |
Ben messaoud zeineb | isimg | hippocampus |
Ben Parsons | Bournemouth University | NA |
Ben Parsons | Bournemouth University | NA |
Ben Philps | University of Edinburgh | Machine learning, SVD, Segmentation, Disease progression, Domain Generalization, |
Ben Rogers-Boehme | University of Pennsylvania | DREAM challenge, model testing |
Ben Searchinger | UC Berkeley | tau, amyloid, deep learning, PET scan, Alzheimer's, machine learning |
Ben Sinclair | Monash University | Perivascular spaces, deep learning |
Benazir R | Rajalakshmi Engineering College | Cognitive impairment, Alzhemeir, Parkinson |
Benazir Rowe | University of Nevada Las Vegas | bayesian, gene, GWAS |
Benbakreti samir | ENSTTIC | Machine learning, deep learning |
Bendan Da | Beijing University of Technology | Alzheimer's Disease |
Benedetta Tafuri | university of magna graecia | brain, structural covariance analysis, network |
Bénédicte Mortamet | CIBM - SIEMENS (leaded by Gunnar Krueger, PhD) | morphometry |
Benedikt Arnthof | LMU München | deep learning, self supervised learning, MRI, convolutional neural networks, CNN |
Benedikt Kürzinger | University Hospital of Leipzig | FreeSurfer Amygdala Affective Disorder |
Benfeard Williams | National Institute on Aging | AD |
benhuo zhao | the affiliated hospital of yangzhou university,Jiangsu Province,China | RNA-seq, PD |
Benjam Wang | Henan University | data mining; deep learning; texture analysis |
Benjamin Behrens | Western Michigan University | Alzheimer's, CABD, KNN, SURF |
Benjamin Bender | AIRAmed GmbH | MCI-AD conversion, healthy reference, segmentation |
Benjamin Billot | UCL | segmentation, volumetry analysis |
Benjamin Brown | Belmont University | Dementia;Cognition;sex differences |
Benjamin Cham | University of Leicester | Deep learning, medical image processing |
Benjamin Chen | PUMC | worsening pace of the EADs |
Benjamin Goudey | University of Melbourne | Prognostics modelling; machine learning; biomarker discovery |
Benjamin Kollerup | Aarhus University | Early prediction of AD, machine learning, statistical models |
Benjamin Lambert | Pixyl Medical | Deep learning, Anomaly detection |
Benjamin Lu | Green Hope High School | speech recognition, Alzheimer's disease |
Benjamin Mast | University of Louisville | behavioral & psychological symptoms of dementia, network analysis |
Benjamin Nephew | Worcester Polytechnic Institute | deep learning model, predictive, anatomical, clinical outcomes |
Benjamin Newman | University of Virginia | Diffusion, DTI, MSMT-CSD |
Benjamin Pizarro | Universidad de Chile | Machine Learning |
Benjamin Risk | Emory University | data harmonization, AD, MCI, causal inference |
Benjamin Sweely | VUMC | QC, Quality Control, FreeSurfer, machine learning |
benjamin thyreau | Tohoku University | MRI, statistical modelling, machine-learning, behavioral data |
Benjamin Wagner | UT Southwestern Medical Center | graph theory, functional connectivity |
Benjamin Wagner | Duke University | Aging |
Benjamin Wagner | Duke University | Aging |
Benjamin Wang | The Hill School | Dr. Salat, Alzheimer's disease, research, Freesurfer, Hill School |
Benjamin Wong | PW | machine learning, CNN |
Bennett Landman | Vanderbilt | labeling, multi-atlas |
Benoit Dufumier | Université Paris-Saclay | PhD project, Transfer Learning in NeuroImaging, MICCAI 2021 |
Benoit Lehallier | Alkahest | Plasma CSF MRI trajectories |
Benoit Souchet | AgenT | Alzheimer’s - SiIent Phase - Blood Diagnosis - AI - Transfer Learning |
Benoy Bose | COSQ NETWORK PRIVATE LIMITED | Model Tensorflow Alzheimer's |
Berardino Barile | Université Claude Bernard Lyon 1 | Artificial Intelligence |
Berina Dedovic | Faculty of Electrical Engineering University of Sarajevo | dataset; alzheimer; eeg |
Berina Suljic | Faculty of Electrical Engineering | ALZHEIMER |
Berkay MENGUNOGUL | Marmara University | Graduation Project |
berlin shaheema | National Institute of technology, Silchar | PET, PET-MRI, PET-CT and SPECT |
berna yenigün | Ege University | capsulenetwork, segmentation |
Bernabe Bustos | Northwestern University | WES, Burden, rare variant analysis |
Bernard Cobbinah | University of Electronics Science and Technology of China | Convolutional Neural Networks |
Bernard Fongang | UT Health San Antonio | Dementia, Vascular dementia, Gene expression, MRI markers |
Bernard Hanseeuw | Massachusetts General Hospital | Striatum hippocampus |
BERNARDO AZEVEDO | City University of London | Medical image segmentation task |
Bernardo Silva | Wuhan University of Technology | Segmentation, deep leraning, CT brain images |
Bernardo Villa-Sanchez | University of Trento | blood pressure, arterial pressure, cognitive functions, aging |
Bernhard Kainz | Imperial College London | machine learning; decision support; automated diagnostics and prediction |
Bernie Chen | NCKU,Taiwan | digital cdt, dementia |
Berrin Yanikoglu | Sabanci University | deep learning |
Bertrand Adanve | Genetic Intelligence, Inc | Whole genome sequence, Artificial intelligence, Computational analysis |
Bertrand Kwibuka | Ashoka University | AI, Deep learning, Algorithms, MRI |
Besma Guesmi | ISIM Monastir (ISIMM) | 8PI35 |
Besma MABROUK | National School of Engineers of Sfax TUNISIA | MRI,T1,T2,FLAIR,ITD. |
Bess Frost | UT Health San Antonio | Alzheimer's Dementia, transposable elements, association study |
Beste Aydemir | Bilkent University | Course Projects, Alzheimer's, Bilkent University |
Beth Shaaban | University of Pittsburgh | methods, biomarkers, generalizability |
Beth Springate | University of Connecticut | awareness, dementia |
Bethany Coad | Cardiff University | Thalamus Amyloid |
Betty Tijms | Amsterdam UMC | Alzheimer's disease; CSF; proteomics; MRI; PET |
Beyza Saylan | Fü Universtiy | Alzheimer |
Bhagyavan Mashatte | JSSSTU Mysuru. | Alzheimer |
Bhanja Swain | SOA University | Alzheimer's disease, MRI,fMRI,PET |
Bhankhar Ram Singh | IITRopar | Segmentation, Bias correction, denoising |
Bhanu Kuchibhotla | Rennes School of Business | Data Science, Machione Learning |
BHANU PRASANNA KOPPOLU | PVPSIT | ADNI, Disease Dataset |
Bhanu Teja | IIITNR | Alzheimer's disease |
Bharat Biswal | NJIT | fMRI; functional connectivity, brain |
Bharatesh S | Indian Institute of Science | Trauma, Ageing, Stress |
Bharath surendar | Vellore Institute of Technology | Deep learning, alzheimers, MRI |
Bharathi Sri K G | Amrita Vishwa Vidyapeetham | Survey on medical image analysis |
Bharathi U | Anna University | Alzheimer's disease, deep learning, MRI |
Bhargav Tallapragada | Murdoch University | ADOPIC |
Bhargav Teja Nallapu | Albert Einstein College of Medicine | alcohol, hippocampus, cognitive assessment |
Bhargavi Kumaran | Vellore institute of Technology | bias detection |
BHARTI RANA | UNIVERSITY OF DELHI | Machine Learning, Medical Image Analysis |
Bhaskar Saripella | Freelancer | U-net,MR-net MRI imaging |
Bhavana Prakash | New York University | T1 Weighted, MRI scan, Alzheimer's disease |
Bhavana Raj Nagaraj Srinivasappa | kingston university london | Dimensia, Brain Images, alzheimer |
Bhavana Tadigadapa | Amrita Vishwa Vidyapeetham | GNN, Brain network analysis |
Bhavesh Parmar | L. D. College of Engineering | MRI, Alzimer |
Bhavinkumar Panchal | Liverpool John Moores University | PET AV1451 , clinical data, Access Request |
Bhavya Kumawat | Techno India NJR Institute of Technology | Research Work |
BHAVYA SAI SETTIPI | COGNIZANT | Hackathon,demo app |
Bhavya Tibrewala | BITS Pilani | Deep Learning, MRI Brain Scans |
Bhrigu Garg | University of California Santa Cruz | Generative Models, Medical Imaging, Segmentation |
Bhupender Kaushal | BITS Pilani | Machine Learning, Artificial Neural Networks |
bhuvaneswari PR | Saveetha engineering college | Image classification |
Bi Yizhen | Tianjin University | Multi-modality learning; |
Bianca De Blasi | Ixico | Medical imaging analysis, Biomarkers |
Bianca Ferreira | ISEP | Alzheimer's Disease, FDG-PET, Neural Networks |
Bianca Zaccaria | Deledda International School | school, paper, scans |
biao zhou | HeFei University | medical image processing |
Bibin Prasad | Anna University | Image |
Bidisha Sengupta | Stephen F Austin State University | plaque, neurodegeneration, dementia, Alzheimer's disease |
Bifang He | Guizhou University | Alzheimer’s disease, brain structure change, aging, gene expression |
Bijen Khagi | Chosun | ML, CNN |
Biji CL | University of Kerala | Machine learning , Deep learning |
Bijit Roy | KU Leuven | personalized medicine, profile regression, mixture modelling |
Bikram Khastgir | BrainSightAI | segmentation , DMN |
Bilal Hussein | Federal university lokoja | ALZHEIMER'S disease dataset |
bilal k | COMSATS University | fyp |
Bilal Mohammed | National Instistutes of Health | Image Segmentation, Deep Learning, Neuro Imaging |
Bilal Sowan | petra | alzheimer’s disease prediction |
BILEESH BABU | VELLORE INSTITUTE OF TECHNOLOGY | Brain age prediction, deep learning |
Bilge Ipek Torun | Ankara Yildirim Beyazit University, School of Medicine | brain volume, Alzheimer's disease |
Bilin Zeng | California State University Bakersfield | sufficient dimension reduction; tensor regression; longitidinal imaging analysis |
Bill Chu | wenzhou medical university | tau distribution;CSF biomarker;prognosis;Alzheimer's disease |
Bill Garofano | AZTherapies | Alzheimer's Disease, Amyloid Beta, Tau, Neurofilament Light |
Bill Xia | University of Wisconsin-Madison | machine learning, ui |
Bima adhiwinata kurniawan | Trunojoyo university of madura | thesis, Alzheimer's |
Bima Adhiwinata Kurniawan | trunojoyo university of madura | Alzheimer |
Bin Chen | Tongren hospital of wuhan university | ApoE, AD, brain, cognition |
Bin Guo | Vanderbilt University | White Matter, BOLD, Lag time |
BIN Jiang | Huazhong University of Science & Technology | 14796891672 |
Bin Li | Georgetown University Medical Center | Convolutional Neural Network, fMRI and PET imaging |
bin wang | central South university | image analysis |
bin yan | Beijing Institute of Technology | Segmentation |
Bin Yao | University of Illinois at Urbana-Champaign | Course project |
bin yu | Yun Nan Normal University | Deep learning model experiments |
bin zhang | Peking Union Medical College | Alzheimer’s disease,neuroimaging , plasma biomarkers |
Bin Zhang | Guangdong Institute of intelligent science and Technology | Integration, Multimodal, AD, MCI |
Bin Zhao | North Dakota State University | Hypergraph SBM; Statistics; Missing Value |
Binalfew Tsehay | Debre markos university | Scanner, dementia , longitudinal |
Binbin Zhu | the affiliated hospital of medical school of Ningbo University | MRI; fMRI; surgery |
Bindu Garg | Bharati Vidyapeeth College of Engineering | Machine learning, Deep learning, Alzheimer's |
Bindu MG | Cochin University of Science and Technology | swam intelligence, feature selection |
Bineesha Jabi | TKMCE | MRI brain image |
Bing Cao | university of north carolina at chapel hill | medical image synthesis |
Bing Li | Yangtze University | machine learning;image processing |
bing lian | hangzhou dianzi university | MultiModal Machine Learning |
bing lian | hangzhou dianzi university | MultiModal Machine Learning |
Bing Lin | CMU | wavelet Analysis |
Bing Tian | School of Economics, XiaMen University | Variable screening, Ultrahigh dimensionality |
Bing Wang | The Chinese University of Hong Kong | subgroup detection; survival analysis |
Bing Yan Lim | University of Malaya | Alzheimer’s disease; Computer-aided diagnosis; Deep learning; |
Bing Zhao | Qingdao Municipal Hospital | Zhaobing-neurology |
Bingda Tang | Tsinghua University | deep learning |
bingdong xu | The First Affiliated Hospital of Jinan University | Mild cognitive impairment; Aβ42; Cerebrospinal fluid; Amyloid PET negativity |
bingdou he | Hechi University | Alzheimer's disease,Deep learning |
binghao wang | The First Afliated Hospital | imaging markers; early-dementia |
Binghui Ding | SouthWest University | Alzheimer's disease, spiking neural network, classification, rs-fMRI |
Binghui Ding | SouthWest University | Alzheimer's disease, spiking neural network, classification, rs-fMRI |
Bingjia Liu | Northeastern University(China) | meta analysis;AD;deep learning |
Bingjie Wu | Shandong University | Alzheimer’s disease, Bayesian method, functional regression, longitudinal data |
Bingjie Yan | Hainan university | ADNI machine-learning |
bingjie zheng | SUSTech | brain science,brain network,cognitive science |
bingjing cui | chang'an university | meta-state, brain state,ADIN |
bingxue liang | Qingdao University of Science and Technology | multi-source heterogeneous data |
bingyang Cai | SJTU | AD MRI PET |
Bingyuan Wang | zhengzhou university | AD, deep learning |
Bingzhen Chen | University of Florida | statistical modeling |
Binh Mai | VNUHCM-University of Information Technology | ADNI |
Binita Rajbanshi | University of Virginia | Tau and amyloid beta relation |
Binuka Jayaweera | University of Reading | Convolutional Neural Network, Alzheimer Diagnosis |
Binyin Li | Massachusette General Hospital | research in AD |
Biprodip Pal | Rajshahi University of Engineering & Technology | Deep Learning, Explainable AI |
Biqin Gao | Harbin engineering University | Microglia in Alzheimer's Disease |
BIQIN GAO | Harbin engineering University | MRI images analysis |
BIQIN GAO | Harbin engineering University | MRI images analysis |
Bir Gujral | Innogen Incorporated LLC | Computational Modeling, AI, Biomarkers |
Birsu Bac | Northwestern University | biomarkers, research, aging, AD transgenic rats, APOE, Abeta, masters thesis |
Bishal Upadhyaya | University of California San Francisco | Deep Learning, amyloid imaging, prediction model |
Biswakalpa Patra | Mizoram University | AD Datasets |
Biswanath Saha | IISER Kolkata | ML |
Biwen Wang | Washington University in Saint Louis | course project, Alzheimer |
Biyar Ahmed | Pennsylvania State University College of Medicine | Olfactory deficits, Alzheimer's disease, fMRI |
biying yang | Sun Yat-sen University | Alzheimer's disease,brain metabolism,biological marker |
Biying Zhang | 空军军医大学军事预防医学系 | functional principal component analysis |
Bjarni Johannsson | OUH | NPH, normal pressure hydrocephalus |
Björn Schott | Leibniz Institute for Neurobiology | inflammation |
Bjørn Jensen | University of Glasgow | machine learning, neural networks, diagnosis, robustness |
Black Ge | Beijing University of Science and Technology | fMRI ,classify |
Blaine Keetch | University of Nottingham | dynamics, connectome, biomarkers, alzheimers |
Blaise Frederick | McLean Hospital/Harvard Medical School | resting state, perfusion, |
Blaise MBUNGA MPUTU | EXPLEO | clinical prediction model, internship, data science |
Blake Dewey | Johns Hopkins University | mri, ct, synthesis |
Blake Vaughn | University of Kentucky | AD, ML, AI |
Blanca Bastardés Climent | Peltarion AB | Autism Spectrum Disorder, GANs, Neuroimaging, Master Thesis |
Blanca Guillén | Universidad Nacional Experimental del Táchira | Alzheimer’s disease, early detection, fMRI images |
Blanca López-Bravo | Universidad Carlos III de Madrid | Neural Networks, Data Science |
Blanca Rodríguez-Fernández | BarcelonaBeta Brain Research Center | telomere length, cognition, biomarkers |
Bless Agbley | University of Electronic Science and Technology of China | Federated ML, Multimodal Medical Analysis |
Blessing Ocheido | Nottingham Trent University | Machine learning deep learning comparative analysis |
Bo Cao | University of Texas Health Science Center at Houston | Machine learning |
Bo Chen | Hangzhou Dianzi University | fMRI, functional connectivity |
Bo Hu | Tangdu hospital, Air force medical university | Aging, cognitive performance, Alzheimer's disease. |
Bo Huang | Calyx | AD, PET, amyloid |
Bo Jiao | West China Hospital | Electroencephalogram; Cognitive function |
Bo Kyoung Cheon | Samsung medical center | Alzheimer's Disease |
Bo Kyu Choi | Yonsei university | prediction model |
Bo Li | Shandong technology and business university | deep learning |
BO LING | University of Birmingham | U-net, Image Segmentation, Dense connection, Hippocampus |
Bo Liu | Beihang University | brain extraction; deep learning |
bo Liu | the second affiliated hospital of Nanchang university | APOE4 imaging cognitive function |
Bo Shen | New Jersey Institute of Technology | tensor data analytics, tensor regression |
Bo Tan | Fudan University, Huashan Hospital | fMRI, dMRI, spinal cord injury |
Bo Wang | University of International Business and Economics | Machine Learning; Scientific Research |
Bo Xie | Jilin University | 900627xiebo |
Bo Zhao | Changchun university of technology | Survival analysis; Variable selection;Hazards function |
Bo Zhou | Yale University | registeration, deep learning |
bo zhu | cancer hosptial of CMU | cause, characteristics |
Bo-Yu Lin | National Dong Hwa University | date analysis |
Boan Ji | AnHui University | Deeplearning, Alzheimers' prediction |
Boao Kong | Beihang University | PLS |
Boaz Levy | University of Massachusetts, Boston | primary care |
bob alllen | kunming university of science | study |
Bob de Vos | Amsterdam University Medical Center | deel learning, super resolution |
Bochao Jia | Eli Lilly and Company | RNN, predict longitudinal data |
Bocheng Chen | huazhong university of science and technology | graphic analysis, PET |
Bocheng Wang | Communication University of Zhejiang | Connectivity; HCP MMP; MCI; AD; Longitudinal Study |
BOFAN CHEN | 南京大学仙林校区 | 阿尔兹海默症 生成对抗网络 |
Bogdan Cebere | University of Cambridge | kaggle |
Bogdan Cebere | University of Cambridge | Genentech's 404 Challenge |
Bohao He | Hainan University | Alzheimer's disease, Clinical |
BOHYUN KIM | HANYANG UNIVERSITY | amyloid pet |
BOHYUN KIM | HANYANG UNIVERSITY | amyloid pet |
Bojan Bogdanovic | Ss. Cyril & Methodius University in Skopje | bioinformatics, prediction, AD, university |
Bojidar Rangelov | UCL | Deep learning, Federated Learning |
Bolade Emmanuel | University of ILorin | Alzheimer |
Boliang Yu | ShanghaiTech University | MRI, PET |
Bolin Guo | Zhejiang University | fmri Alzheimer's disease |
bolin li | xian university | CT image |
bolong wang | bnu | temporal autocorrelation; memory. |
Bomin Alex | Shandong University | fMRI, dynamic functional connectivy |
Bomin Wang | Shandong University | deep learning, Alzheimer’s disease |
Bong Jun Kim | Syntekabio Co., Ltd. | AD, MCI, AI, Genomics, Biomarker |
Bonnie LaFleur | University of Arizona | Statistics, multi-modal, aging |
Bonnie Scott | Dell Medical School at The University of Texas at Austin | cognition; variability |
Bonnie Wong | Massachusetts General Hospital | Aging, Alzheimer's, cortical thickness, RAVLT |
Booyong Im | GIST | Artificial Intelligence for Healthcare, Study, Lecture material |
bora kim | dinno | z |
bora kim | dinno | mri, brain |
Boris Gutman | University of Southern California | DTI, diffusion MRI, Alzheimer's, human connectome |
Boris Mansencal | LaBRI | deep learning |
Boris-Stephan Rauchmann | LMU Munich | resting-state preclinical state MCI ß-Amyloid |
Borja Camino | Health Research Institute Biocruces-Bizkaia | voxel-based morphometry, connectograms, resting functional connectivity, teach |
Borja Sánchez Clemente | Technical University of Munich | Longitudinal data, deep learning, MRI |
Boru Jin | Zhongshan hospital of Fudan University | Alzheimer's disease; dementia |
Borui Zhang | Beijing institute of technology | biomedicial and optics |
Botao Zhao | Fudan University | registration; deep-learning |
Bouazizi Iyadh | Esprit | I need these databases for educational purposes |
boudaoud fayçal | enset | ad;mci;alzheimer;detect deases alzheimer |
BOUDI ABDELMOUNIM | HEBEI UNIVERSITY OF TECHNOLOGY | machine learning |
Boukaache Abdelnour | Guelma University | Detection, Alzheimer, Disease, Intelligen |
bowen chen | Tongji University | course project, deep learning, Alzheimer's disease |
bowen chen | Yunnan Normal University | find actual data |
Bowen Dong | Sichuan University | for research |
Bowen Zheng | Nanjing University | Multi-view |
Boyan Leng | UT Health Houston | CNN Model |
Boyan Wang | Tsinghua University | graph neural network, assistatn diagnosis |
Boyang Pan | Subtle Medical Technology | AI Alzheimer early screening |
Boyang Zhou | Zhejiang University | essay result reproduction |
Boyle Huang | Guangdong University of Technology | brain |
Boyu Liu | China-Japan Union Hospital | alzheimer |
Boyu Ren | McLean Hospital | Mood disorder; Accelerated cognitive decline; Longitudinal data |
Boyuan Long | University of Southern California | Machine Learning |
Boyuan Wang | Macau University of Science and Technology | Transformer-Based Continual Deep Learning Model |
Boyue Song | Kochi University of Techonology | Machine Learning, Alzheimer's Disease |
Boyue Song | Kochi University of Technology | fMRI, Machine Learning, Alzheimer Disease |
Brad Friedman | Genentech, Inc. | bioinformatics genetics |
Brad McNeney | Simon Fraser University | genetic association, cortical thickness, cognitively normal |
Brade Steve Njiha Ngueha | ESPRIT | Alzheimer detection |
Bradford Dickerson | Massachusetts General Hospital | MRI, PET, cortical thickness, MCI, AD |
Bradley Buchsbaum | Baycrest Centre for Geriatric Care | fMRI PET correlation |
Bradley English | Fraunhofer Institute | Early-warning |
Bradley Hooker | AbbVie | Machine Learning Texture-Based Analysis tau PET |
Bradley Lubich | University of Riverside California | LASSO, sparsity |
Bradley Peet | University of California, San Francisco | Visual hallucinations |
Bradley Voytek | UC San Diego | neuroimaging, data science |
Bradley Wallace | Brigham and Women's Hospital - Center for Alzheimer's Research and Treatment | Amyloid, tau, nps, MCI, AD, Alzheimer's Disease, psychopathology |
Bradley Wheeler | University of Pittsburgh | computer vision |
Brady Burgess | Alector | microglia |
BRAHIM BAHANI | National School of Arts and Crafts | MRI PET FUSION |
Brahyan Galindo Mendez | University of California, Berkeley | Alzheimer's disease, |
Bram Diamond | Northwestern University | resting state |
Brandalyn Riedel | Indiana University | Genetics, neuroimaging, machine learning |
Brandon Allgood | Integral Health | tau vaccine phII clinical trial design |
Brandon Bujak | Jagiellonian University | Basic analysis of data samples |
Brandon Chiazza | Yeshiva University | MRI, Alzheimer's, MCI, Artificial Intelligence |
Brandon Gavett | University of California Davis | cognition, psychometrics, Bayes, memory, executive function, language |
Brandon hall | USC | Alzheimer's Disease |
Brandon Imstepf | University of California, Merced | Alzheimer's, Fisher Kolomogorov |
Brandon Klinedinst | University of Washington | Bayesian |
Brandon Westover | Massachusetts General Hospital / Harvard Medical School | epilepsy |
Brandon Whitcher | GSK | drug development, precision medicine, biomarkers |
Brandy Callahan | University of Calgary | diagnosis, neuropsychology, dementia, mci, norms |
Bratati Kahali | Centre for Brain Research IISc | Cognitive scores, Clinical diagnosis, Demographics, Machine Learning |
Braulio Solano-Rojas | Universidad de Costa Rica | deep learning, neuroevolution |
Breanna Crane | Vanderbilt University | Atrophy, Connectivity, MCI |
Breanna Harris | Texas Tech University | cumulative stress, Alzheimer's disease, biomarkers, cognitive function |
Brenda Kurland | GSK | FTD |
Brenda Ngo | George Mason University | Alzheimer's disease, Type I diabetes |
Brendan Bullivant | University of California Santa Barbara | Machine Learning |
Brendan Evers | Stanford University | MRI, dementia, computer vision, vision transformer |
Brendan Hightower | Birkbeck College | Dementa, AI, Machine Learning |
Brendan Hightower | Birkbeck College | Dementia, AI, Machine Learning |
Brendan Miller | University of Southern California | mitochondria GWAS CSF |
Brendan Mitchell | University of California, San Francisco | DNA methylation, Alzheimer's disease, imaging |
Brendan Williams | University of Reading | Thalamus, Image segmentation |
Brennan Abanades Kenyon | Oxford Univerity | segmentation, volume estimation, FSL |
Brennan Jackson | Massachusetts Institute of Technology | Alzheimer's, ventricle, structural, functional |
Brent Hill | North Dakota State University | MoCA, MMSE, convergent validity, score equivalence |
Brent McPherson | Indiana University Bloomington | education |
Brenton Keller | USC - Laboratory of NeuroImaging | age-related degeneration morphometry |
Breton Asken | Brown University | risk score, conversion, multivariate base rate, amyloid, ATN |
Brett Cohen | King's College London | MCI, MRI, phantom |
Brett Montgomery | Hoag Memorial Hospital Presbyterian | cognitive decline, psychotropic medications |
brian avants | Biogen | brain, thickness, ANTs, conversion, amyloid |
Brian Collica | University Of California, Berkeley | Capstone |
Brian Cuestas | Universidad de Los Andes | MRI, Deep learning |
Brian Fulton-Howard | Icahn School of Medicine at Mount Sinai | PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS |
Brian Gordon | Washington University in St. Louis | tau, amyloid, PET |
Brian Kirkham | St. Michael's Hospital | SQL |
Brian Lin | USC | longitudinal, transition, biospecimen, bioimaging |
Brian Mac Namee | University College Dublin | machine learning, artificial intelligence, deep learning, image processing |
Brian McCrindlle | McMaster University | Deep Learning, Uncertainty Quantification |
Brian Neal | San Francisco State University | Statistical Methods, Gene-set Association Analysis, High-dimensional data |
Brian Nelson | University of Pennsylvanai | Data Integration |
Brian Pidgeon | Georgia State University | Empirical Likelihood, Symmetry, Multiplicative Error Models |
Brian Ruhl | The College of New Jersey | Alzheimer's disease, APOE, APOEe4 |
Brian Shih | National yang ming chiao tung university | keywords |
Brian Tendai Junior Mbanje | Swansea University | Machine learning, Alzheimer Disease |
Briana Figueroa | PACE university | Image Recognition Project |
Brianna Askew | Alzheimer's Disease Cooperative Study | dementia, intervention, risk factors |
Brianna Ditty | The Hill School | Hill School |
Brianne Bettcher | University of Colorado Anschutz Medical Campus | biomarker, aging |
Brisa Fernandes | University of Texas Health Science Center at Houston | AD |
Brittany Butts | Emory University | cognition, psychometrics |
Brittany Dugger | UC-Davis | Neuropathology, Heterogeneity, concomitant pathology |
Brittany Intzandt | Sunnybrook Research Institute | Sex differences, dementia, risk factors, network analysis, d |
Brittany Lasseigne | University of Alabama at Birmingham | Genomic Instability, Chromosomal Instability, Copy Number Variation, Alzheimer |
Brittany Morin | University of California, San Francisco | Bayesian, Cognitive Aging |
Brittany Wolff | The University of Western Australia | neurodevelopmental condition, network analysis, familial co-aggregation |
brizzle brizzle | Sichuan University Jincheng College | AI bigdata |
Brock Ada | Northeastern University | data analyst intern |
BRUCE ALBALA | UC IRVINE School of Medicine | Cognition, AD |
Bruce Carlson | Ohio University | education |
Bruce Ho | Arima AI | prognostic score |
Bruce Jenkins | Massachusetts General Hospital | MCI, AD, iron, age, sex |
Bruce Kristal | BWH/HMS | metabolomics |
Bruno Costa | USP | CNN |
Bruno Hebling Vieira | University of Zurich | machine learning, cognitive impairment, dementia, Alzheimer's, MRI, PET |
Bruno Jedynak | Johns Hopkins University | time dependent continuous latent variable statistical model |
Bruno Kreiner | FHNW | MRI, AI |
Bruno Monserrat Perillo | Universidade Federal do ABC | MRI |
Bruno Pannunzio | Institut Pasteur de Montevideo | Machine learning, master thesis, early detection |
Bruno Santos-Lima | università degli studi di Verona | AD, Neutrophils |
bruno simoes | universidade de coimbra | computer vision, diseas automatic diagnose |
Bryan Maloney | Maloney Consulting | miR20b abeta tau csf snp |
Bryanna Vilnaigre | Brown University | Alzheimer's; biomarker; hippocampus |
Bryant jr | 武汉大学 | NeuroImage |
Bryce Bagley | Stanford University | machine learning, clinical data science, medical machine learning |
Bryce Sheng | HangZhou DianZi University | Identification,localization and segmentation |
Bryce Tan | National University of Singapore | cognitive impairment, glycoprotein, gene signature, biomarkers |
bu chao | DONGHUA UNIVERSITY | AD |
BU RAN | China University of Mining and Technology | Research |
Bu Ran | China University of Mining and Technology | research |
bucha bouchra | FSt | 1234 |
Buddhadev Goswami | Indian Institute of technology, bombay | MRI, Alzheimer |
Buket Barkana | University of Bridgeport | adaptive multi level thresholding, grey to white matter |
Buket ÖZDAMAR | Kocaeli Universty | image processing |
burak baytunca | University of Utah | asl, resting state fmri |
burak burak | HACETTEPE UNIVERSITY | transformer |
Burak Karip | University of Health Sciences | anatomy,brain |
Burak Taşcı | Firat university | Artificial intelligence , deep learning, classification |
burak tozluk | Afyonkarahisar Health Sciences University | diagnose the disease, deep learning |
Burhan Yusuf Arat | Yeditepe University | Early diagnosis, Unsupervised Learning,Generative Modeling |
Burt Richards | University of Utah | RBM, plasma biomarker levels |
Bushra Arif | Ned University of engineering and technology | CT Scan, Alzheimer's Disease, Research |
Bushra Arif | Ned University Of Engineering And Technology | Machine Learning , Alzheimer's Disease Detection, Machine Classifiers |
Bushra Khan | Sharda University | Medical Imaging Technology/Radiography |
Bushra Tayyaba | university of engineering and technology Lahore | Alzheimer disease, image classification |
Busra Gok | Boston University | Alzheimer PBMC |
By'ran McIntyre | Univeristy of Florida | alzheimers |
ByeongChang Jeong | Korea university | simulation, PET, amyloid diffusion |
Byoung Seok Ye | Chuncheon national hospital | Mild cognitive impairment, Alzheimer's disease, Conversion, Reversion |
Byron Creese | King's College London | polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations |
byung hyug choi | KAIST / korea | machine learning, network embeddings, Alzheimer feature extraction |
Byung Hyung Kim | Inha University | Alzheimer, Topology, Manifold Learning |
Byung-Hoon Kim | KAIST | Graph neural network, Resting-state fMRI |
ByungWook Choi | Daegu Catholic University School of Medicine | PET, serum markers, AST, ALT, ALP, Calcium, TFT |
byyz tgxz | ShanDong Jianzhu University | classify |
c rc | 厦门大学 | application |
C T | ShenZhen University | multi-center neuroimaging ,Intelligent diagnosis ,machine learning |
C Z | TIANJIN UNIVERSITY | ZcGAOkao666 |
C Zhao | Peking Union Medical Colloge | AD, Ageing, Imaging and biological indicators |
C-Erastus Toe | University of Massachusetts Lowell | AI/ML, Computational Psychology, Computational Neuropsychology |
C. Kwon Kim | Holmusk | Alzheimer’s disease, predictive model, simulation, machine learning |
Cagri Ozdemir | South Dakota Mines | Multilinear discriminant analysis for fMRI images |
Cai ge | guangzhou university of chinese medicine | Deep Learning、AD、image classification |
cai hao | Shanghai University Of Engineering Science | More data、simplified process |
cai jiatong | Shanghai Maritime University | pet |
cai luhui | Shanghai Maritime University | research |
Cai Xiaochen | Nanjing University | SNP*Genetic data*AD |
Cai Xukun | Beijing University of Posts and Telecommunications | medical image registration, deep learning |
Caihua Wang | FujifilmCorporation | Demetia progress prediction, Brain Sub-region atrophy, deep Laerning |
Cailong Liu | The First Affiliated Hospital of Wenzhou Medical University | Osteoarthritis, MRI, neuroimaging, dementia, longitudinal study |
Caio Carneloz | UNESP | Semi-Supervised Learning, Deep Learning, CNN's |
Caishui Yang | Beijing Normal University | mild cognitive impairment, brain structure, longitudinal design |
Caitlin Corbin | Indiana University - Bloomington | MRI |
Caitlin Finney | University of Sydney | Alzheimer's disease, machine learning, |
Caitlyn Chavez | chapman university | Deep Learning, ML Pipeline, Explainable AI |
Caiyan Liu | Peking Union Medical College Hospital | vascular factor; alzheimer's disease; dementia conversion |
Caleb Ellington | Carnegie Mellon University | Contextual modeling, network biology, prognostic models, machine learning |
Caleb Warth | Carl von Ossietzky University Oldenburg | AD, Alzheimer's Disease, fMRI, analysis |
Caleb Williams | Goodhand | 3D modeling |
Calen Irwin | Queen's University | Early Alzheimer's Detection, Machine Learning, Ensemble Learning, CNN |
Calin Buzea | IFT | medical physics |
Callum Cory | University of Auckland | Deep learning, brain network analysis, graph theory |
Callum McLennan | Reading University | Classification, Machine Learning, Artificial Intelligence |
Callum McLennan | Reading University | Classification, Machine Learning, Artificial Intelligence |
Cally Xiao | University of Southern California | Alzheimer's disease, risk factor, APOE, ethnicity |
calvin Ashe | Maynooth University | Final year project; Students; Covid-19 |
Calvin Guan | Boston University | Inflammatory biomarkers, Covariance comparison, Nonparametric estimation, AD |
Calvin Howard | Brigham and Women's Hospital | AD |
Cameron Ferguson | Cardiff University | Network Psychometrics; Complex Systems; Modelling; Neuropsychology; Neurocogniti |
Cameron Forsythe | Medical Informatics Engineering | AI, Machine Learning, Image Classification |
Cameron Kessler | St. Lawrence University | Machine Learning |
Cameron Pain | Monash University | PET, MR, Deep Learning, Image analysis, Image Reconstruction, Denoising |
Cameron Ruggles | University of Wisconsin, Madison | Optimal Transport, Registration, |
Cameron Shand | University College London | machine learning, disease progression, subtype identification |
Camila Castaño | Universidad Tecnológica de Pereira | deep learning, neural network, degenerative disease |
camila gil | U. militar | Corazones.171 |
Camila Perez | Universidad Carlos III de Madrid | dataset, dementia |
Camila Rojas | University of Valparaíso | Resting state, functional connectivity |
Camilla Caprioglio | University of Geneva | Alzheimer's disease, cognitive functions |
Camille FERRERO | CSIRO | MRI images |
Camilo Castrillon | Universidad Autonoma de Occidente | Alzheimer disease, machine learning, Middle cognitive impairment, limitations |
Camilo Jaramillo | UNIVERSIDAD DEL VALLE | Alzheimer’s disease, Normative modelling, deep learning, MCI, MRI |
Camilo Lima | Universidade Federal do Ceará | Alzheimer's disease, CNN, knowledge transfer |
Can Chang | Being Normal University | neuroImage; deep learning;disease prediction |
can chen | scau | multimodal |
Can Chen | South China Agricultural University | research, experiment |
Can Cui | Vanderbilt University | Multi-modality learning |
Can Li | University of Texas Health Science Center at Houston | stochastic |
CAN SOYLU | Istanbul University | Neuropsychiatric Diseases, Machine Learning, structural MRI |
Cancheng Li | lanzhou university China | AD, Alzheimer’s disease |
CANDACE CHAN | UNIVERSITY OF CALIFORNIA, SAN FRANCISCO | diagnostic tests, biomarkers, early detection, genetic |
Canhong Wen | Sun Yat-sen University | Scalar-on-image regression; functional regression |
cao feiyuan1 | njust | chen***123456 |
Cao Larry | Harbin Engineer University | ADs |
Cao Libo | Nanjing Medical University | abcdefg |
cao liying | hangzhou normal university | medical image analysis |
cao ming | Taiyuan University of Technology | imaging genetics;graduate student;AD research |
cao tangwei | shandong university | ctw19981128 |
cao tangwei | shandong university | ctw19981128 |
Cao YiFan | Tianjin University of Technology and Education | allen |
Cao Zhipeng | ShangHai Martime University | graduation thesis |
CAOZE CUI | SHANXI MEDICIAL UNIVERSITY | images MRI pet |
Cara Woodworth | University of California, San Francisco | late life depression, cognitive decline |
Carbeen James | The University of North Carolina SystemThe University of North Carolina SystemTh | research |
Carina Gonçalves | University of Minho | MCI, classification |
Carissa Lewis | U.C. Berkeley | depression, PET, Braak |
Carl Cohen | SUNY Downstate Medical Center | Alzheimer's disease; cognition, course trajectory |
Carl Prakaashana | Mayo Clinic | defacing |
Carl Walther | Baylor College of Medicine | Kidney function, cognitive function trajectory |
Carl Yang | Emory University | brain networks, graph neural networks, disease prediction |
Carla Polo García | Universidad de Salamanca | Alzheimer detection, project, artificial intelligence |
Carlisle Yun | Yonsei University | segmentation, MRI |
Carlo Alberto Barbano | University of Turin | deep learning, brain age modeling, alzheimer prediction |
Carlo de los Angeles | Stanford School of Medicine (Stanford Cognitive and Systems Neuroscience Lab) | artificial intelligence, neural networks, machine learning, networks |
Carlo Fabrizio | IRCCS Fondazione Santa Lucia | artificial intelligence; deep learning; clinical decision support; data-centric |
Carlo Sansone | University of Naples Federico II | Deep learning, Biomedical image processing, multimodal learning |
Carlos Abraham Chavez Barron | Autonomous University of Juarez City | Alzheimer early detection , MRI, Deep Learning |
Carlos Aguila | University of Pennsylvania | PLINK, machine learning, Alzheimer's Disease, biomarkers, targets |
Carlos Brito-Loeza | Universidad Autonoma de Yucatan | MRI, mapping |
Carlos Crespo | Methinks Software | Deep learning |
Carlos Cruchaga | Washington University School of Medicine | CSF, plasma, RBM, GWAS, whole-genome |
Carlos Eduardo Gonçalves de Oliveira | Universidade Federal de Goiás (UFG) | SSM, ScAnVP, prediction |
Carlos Eduardo Muñoz Neira | University of Sheffield | insight, neural correlates, mild cognitive impairment, Alzheimer's disease |
Carlos Estrada Marmolejo | Universidad de Guadalajara | CNN, FrFT, Image recognitizion |
Carlos Felipe Alves | University of São Paulo | Alzheimer's disease; Convolutional neural networks; Deep learning; Diagnosis; Mi |
Carlos Flores | UNAM | brain, unam, inb |
Carlos Galmarini | TOPAZIUM | Artificial intelligence, deep neuronal networks |
Carlos García Corral | University Carlos III of Madrid | Alzheimer's, Deep Learning, Classification, RMI |
Carlos Guerrero-Mosquera | Universitat Ramon Llull | deep learning, automatic, signa processing, mri |
Carlos Martinez-Ortiz | Netherlands eScience center | Algorithm reuse |
Carlos Morales Bartolomé | Universidad Politécnica of Madrid | Brain Disease Detection |
Carlos Munoz | Oregon State university | Alzheimer's disease, brain atrophy, aphasia |
Carlos Omar | UNIR | conclusão de curso |
Carlos Platero | Universidad Politécnica de Madrid | Multi-atlas segmentation |
Carlos Pomilio | University of Buenos Aires | Alzheimer's Disease, Metformin, Diabetes |
Carlos Sanmiguel Vila | Universidad Carlos III de Madrid | Alzheimer’s disease Deep learning Convolutional Neural Network MRI Brain imaging |
Carlos Theran | Florida A&M University | Alzheimer |
Carly Nelson | Wake Forest School of Medicine Radiology | MRI, PET, Alzheimer's disease |
Carmel Armon | Tel Aviv University School of Medicine /Shamir (Assaf Harofeh) Medical Center | X chromosome-mediated risk, LOAD |
Carmela Genovese | DEDALUS ITALIA SpA | Predictive algorithms MCI |
carmen Lee | DongGuang Tungwah Hospital | 1901102359LJM |
Carmen Miranda | Universidad politécnica de Madrid | AD, beta aminoide, biomarkers |
Carmen Pang | University Tunkul Abdul Rahman | Alzheimer Disease |
Carmen Solanes | Universitat Politècnica de València | DBS, computational model, Parkinson disease, STN |
Carmen Tina Schablitzki | Uniklinik Tuebingen | Research |
Carol Chang | Chang Gung Memorial Hospital | AD |
Carol Hargreaves | National University of Singapore | MRI, Cognitive Impairment, Alzheimer's Disease, Autocencoder, Classification |
Carol Huseby | Biodesign Institute at Arizona State University | blood RNA expression Alzheimer's disease machine learning multivariate analysis |
Carol Shum | University of California, Davis | Research, Dissertation |
Carole Lartizien | University of Lyon / CNRS | Computer aided diagnosis, deep machine learning, brain anomaly detection |
Carole Scherling | Belmont University | undergraduate research, neuroimaging, clinical cohorts |
Carole Sudre | University College London | White matter lesions; longitudinal |
Carole Wagnon | University Hospital of Psychiatry and Psychotherapy | prefrontal cortex AD |
Carolina Carpio | uc3m | ML |
Carolina Dallett | Roche | AD |
Carolina Picarra | Imperial College London | TADPOLE, challenge |
Caroline BAZZOLI | Université Grenoble Alpes | Survival ; machine learning |
Caroline Bouter | UMG Goettingen | PET, FDG, Amyloid |
Caroline Dartora | PUCRS | Brain Connectivity, Alzheimer's Disease, MRI, PET |
Caroline Hellegers | Duke | NFL |
caroline watson | emory school of medicine | targeted proteomics; mass spectrometry |
Carolyn Kaufman | University of Kansas School of Medicine | APOE4, vascular |
Carolyn Lou | University of Pennsylvania | Single-Arm Clinical Trials |
Carolyn McNay | Hill School | Hill School |
Carrie Lui | James Cook University | Alzheimer |
Carrson Fung | National Yang Ming Chiao Tung University | online graph learning, graph signal processing, brain connectivity |
Carsten Meyer | Philips Research Laboratories | image processing |
Casey Gower | Walter Reed National Military Medical Center | fMRI, Functional connectivity, Resting state networks, diagnostics |
Casper Nielsen | University College London (UCL) | MRI, Boundary Shift Integral, segmentation, longitudinal analysis |
Cassandra Gonzalez | CU Anschutz Medical Campus | Comparative Anatomy |
Cassandra Morrison | McGill | SCD, MRI, Biomarkers, AD |
Cassandra Szoeke | University of Melbourne | ESR1; Cognition; Cognitive decline, Amyloid; Alzheimer's disease |
Cassiane Rollet | Université Lyon 1 | Alzheimer Environment |
Casval Deikum | Chinese Academy of Science | slurm test |
Cat Conti | NCIRE | admin core |
Catalina Gomez | Universidad de los Andes | brain tumor segmentation, |
Caterina Beltrame | University of Trento | MRI studies dementia |
Catharina Lange | Charité - Universitätsmedizin Berlin | multi-modal, dementia, MCI |
Catherine Clelland | Columbia University Irving Medical Center | genetic polymorphisim, BH4, proline, association, cognition, neuropsychiatric |
Catherine Jezerc | University of Arizona | longtitudinal, AD, MCI, plasticity |
Catherine Jutzeler | Swiss Federal Institute of Technology (ETH Zurich) | Machine learning, biomarker discovery, risk factors, disease progression |
Catherine Munro | University of Texas Southwestern Medical Center | connectivity, head injury, magnetic resonance imaging |
Cathryn McKenzie | The University of Western Australia | cognitive reserve, ageing |
Cathy Liu | UCLA | Alzheimer, bile acids, neuroimaging |
Cathy Philippe | French Atomic Energy Commission | Imaging-genetics, RGCCA, Structured penalties, data integration |
Catie Chang | Vanderbilt University | fmri, physiology, networks |
Catrina Spruce | The Jackson Laboratory | RNASeq |
Catriona Stokes | University College London | Medical imaging |
Cayetano Martinez | Universidad Carlos III Madrid | Multi-class brain disease detection deep learning |
Cchidi Ugonna | University of Arizona | cognitive decline, healthy aging, Biomarkers, Anatomical MRI, Sleep Apnea |
Ce Li | Fudan University | rehabilitation; AD; neuroimaging |
Cécile Proust-Lima | INSERM | latent process, latent state, mixed effect model, succession of impairment |
Cecilia Guariglia | Università Sapienza | dementia, cerebellum, mri |
Cecilia Muñoz | UNMSM | magnetic resonance |
Cécilia Ostertag | Université de LaRochelle | deep learning, multimodal |
Cecily Swinford | Indiana University School of Medicine | biomarkers, tau, cognition |
Cecily Swinford | Indiana School of Medicine | cerebral blood flow |
Cédric Beaulac | Simon Fraser University | Neural network classifier, Bayesian model averaging |
Cédric Beaulac | Simon Fraser University | Neural network classifier, Bayesian model averaging |
Celia Martín Vicario | Friedrich-Alexander University Erlangen-Nuremberg | disease prediction, multimodal data. |
Céline Le Béguec | Inria | k-mer, structural variants, neurodegenerative diseases |
Celine Maes | icometrix | Alzheimer's disease |
Cellas Hayes | Stanford University | Bayesian Psychometrics, ADNC, cognition |
cemal koba | IMT Lucca | CNN, early diagnosis, MRI |
Cemhan Kaan Özaltan | Bilkent University | super-resolution, CNN, deep learning, PET, MRI |
Ceren Tozlu | Weill Cornell Medicine | neuroimaging, network control theory |
Ceren yüksel | Bogazici University | alzheimer |
Ceri Yan Tung Ngai | University College London | disease progression, modelling |
Cesar Augusto Sanchez Villalobos | Texas Tech University | MRI, Transcriptomic |
Cesar Higgins | University of Michigan | ADRD, biomarkers |
Cesar Torres | Tijuana Institude of Technology | Image Classification, Convolutional neural networks, Image preprocessing |
Cesar Venero | UNED | mild cognitive impairment, alzheimer, cortisol, thyroid hormones, |
Cesar Zapata | Universidad de los Andes | Classify, Research, Student. |
Cesidio Gismondi | NTTDATA | Computer vision |
Ceyda Unal | Dokuz Eylul University | early detrction, Alzheimer, machine learning, dementia |
Ceyda Yalçın | Bahcesehir University | aging, neurobiology, bioinformatics |
ch chang | NYCU | MRI,PET,AI |
Chae Jung Park | Samsung Medical Center | brain age |
Chae Jung Park | Yongin Severance hospital | Alzheimer's disease, Mild cognitive impairment |
Chae Moon Hong | Kyungpook National University Hospital | Amyloid, Alzheimer, white matter hyper intensity |
Chaebin Song | Neurophet | tDCS, electric field strength |
ChaeEun Moon | DEEPNOID | DEEP:PHI |
CHAEHYUN LEE | Gyeongsang National University | 3D classification, hippocampus, DenseCNN |
CHAELIN HONG | Asan Medical Center | MR image feature detection from Deep learning model |
Chaemin Jang | IBS | AD, Multimodal, MRI-PET,Longitudinal |
Chaeyoon Park | Kangwon National University | Machine Learning, Deep Learning |
Chahd Chabib | Khalifa University | deep learning |
Chahd Chabib | Khalifa University | CNN, curvet, ADNI |
chahyun kim | Intellivix | DICOM |
chaima techa | ENSEM | DL, CNN, segmentation |
Chaima Zouaoui | Strasbourg University | Alzheimer, hippocampal, research |
Chaitali Anand | University of California, San Francisco | PET, atrophy, amyloid, tau, longitudinal, computational |
Chaitanya Chavda | HL Institute of Computer Applications | Alzheimer , Image data sets |
CHAITANYA GIRASE | Ezytek consulting pvt ltd | model building using Artificial intelligence technology |
Chaitra Dayananda | Chosun University | AD |
chaitra S | M S Ramaiah University of applied sciences | Alzheimers disease, structural brain, tractography and genes |
Chakib Battioui | Eli Lilly | Tau Pet |
chan liang | GuangXi University | diagnosis, machine learning |
Chan-Yuan LI | Chung Yuan Christian University | AD |
Chanati Jantrachotechatchawan | Mahidol University | Alzheimer’s disease, Blood-based multi-omics biomarkers, Deep learning |
CHANDA SIMFUKWE | Gachon University | machine learning |
CHANDAN V | BANGALORE INSTITUTE OF TECHNOLOGY | EARLY DETECTION, ALSHEIMER'S DISEASE |
Chandarshekar Subbakrishna | Coolsoft LLC | data management and visualization |
CHANDITA BARMAN | IIIT GUWAHATI | ALZHEIMER, CNN, |
CHANDITA BARMAN | IIIT GUWAHATI | ALZHEIMER, CNN,Skull Stripping |
Chandler Juneau | University of Louisiana, Lafayette | //none// |
CHANDRA DAS | Netaji Subhash Engineering College | Machine learning Pathway Analysis Biomarkers |
Chandra Segar T | VIT | Machine learning |
Chandrajit Choudhury | National Institute of Technology Silchar | disease-classification, stage-detection, supervised-learning, contrast-learning |
chandrama mukherjee | Georgia State University | FC, Whole brain modeling |
chandran bose | NIELIT | alzheimers data |
CHANDRAN VENKATESAN | KPR Institute of Engineering and Technology | Deep learning, Alzheimer diseases |
Chandrashekar M A | IISc Bangalore | Research, studying brain networks |
Chandrika Jangam | National Institute of technology Karnataka | Alzheimer's disease |
Chandrima Debnath | Indian Institute of Technology, Kharagpur | multimodality, multiclassifier, classifier fusion, aggregation operator |
Chang Chen | Nanjing Drum Tower Hospital, Medical School of Nanjing University | neurologist |
Chang Chun Xiong | Ningbo University | AD diagnosis, prediction, deep learning, multimodal |
Chang Chun Yang | National Cheng Kung University | Amyloid PET |
Chang Chun Yang | National Cheng Kung University | Alzheimer , Amyloid PET |
Chang Fu | Henan Provincal People's Hospital | MDD; β-amyloid;MRI;PET |
chang ge | Ocean University Of China | EMCI Brain Imaging Genetic Data |
Chang He | University of Science and Technology Beijing | Cognitive neural computing |
Chang Hu | University of Illinois at Urbana-Champaign | disease modeling, parameter estimation, uncertainty |
Chang hui | Henan University | deep learning, Alzheimer's disease |
Chang Hun Ji | Korea University | MCI, biomarkers, AI, Variability |
chang jin-lun | Leadtek | semantic segmentation |
Chang Li-Hsin | National Yang Ming Chiao Tung University | school’s research program |
Chang Liu | University of South China | Super-Resolution;deep learning |
chang ma | University of Zhejiang | Brain age, prediction model |
Chang Su | Weill Cornell Medicine | computational modeling, machine learning, subtyping, predictive modeling |
Chang Susan | fujian argriculture and forest university | medical image registration, fMRI |
Chang Wang | Jilin University, China | survival analysis |
CHANG XIANGCHAO | YUNNAN UNIVERSITY | Multi-Task Learning |
Chang XiangChao | YUNNAN UNIVERSITY | Data Mining, AD, Multi-task, Disease Predictor |
Chang XiangChao | YUNNAN UNIVERSITY | Data Mining, AD, Multi-task, Disease Predictor |
Chang Xu | The First Affiliated Hospital of Dalian Medical University | coronal hippocampus,hippocampus atrophy,AD,MCI |
chang yuwen | NWPU | deep learning model |
Chang-En Yu | VA Puget Sound Health Care System | TOMM40 APOE Haplotype |
Chang-Hee Han | Kongju National University | EEG, Alzheimer |
Chang-Le Chen | National Taiwan University College of Medicine | Diffusion MRI, White matter, Fiber cross-section |
Chang-Mao Tung | National Quemoy University | NQU AI predict system |
Chang-Soo Yun | Yonsei University | Alzheimer, deepleaning |
Changchang Ding | Shanghai University | PET;FMRI |
changchun he | Chongqing University of Posts and Telecommunications | theory of rough set, non-negative matrix factorization |
Changgee Chang | University of Pennsylvania | integrative analysis, multi-task learning |
Changgee Chang | Indiana University | multi-omics, neuroimaging, longitudinal |
Changgeng He | Tsinghua Univ | MRI, brain shift |
changhao chen | National Central University | CNN SVM LR |
Changhao Jiang | University of Washington | causal inference, reproducible research |
Changhwan Sung | Asan Medical Center | PET imaging, Germline variation, Neurodegenerative disease |
changhyun park | vuno inc. | sMRI, deep learning, multiple instance learning |
Changjun Tie | Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences | brain MRI,PET imaging |
Changliang Su | Sun Yat-sen University Cancer Center | Radiomics; Age; Prediction |
Changrong PAN | ZheJiang University | Parkinson's progression markers initiative; Parksinon's disease; machine learnin |
Changwen Yang | Huazhong University of Science and Technology | non-imaging; images; deep learning; AD and MCI |
Changwen Yang | Huazhong University of Science and Technology | segmentation; Unet |
changwon choi | Seoul National University | DTI, SPD, partially linear additive model, Lie groups |
Changwon Lim | Chung-Ang University | Deep learning, Classification, Alzheimer's disease |
Changxiang He | University of Shanghai for Science and Technology | Geometric renormalization unravels self-similarity of the multiscale human conne |
changxin ge | Beijing University of Posts and Telecommunications | research |
changzhen lv | Huazhong University of Science and Technology | multimodal |
Chanho Park | Sungkyunkwan University | self-supervised learning |
Chanmie Kim | Massachusetts General Hospital | tau, cortical thinning, Alzheimer's disease |
Chanodom Lisantia | Thammasat University | Alzheimer's disease, Machine Learning, Mild Cognitive Impairment |
Chanon Puttanawarut | Mahidol | Deep learning |
Chantal Pellegrni | Technical University of Munich | deep learning, patient population graphs |
Chantel Mayo | University of Victoria | DTI, mild cognitive impairment, Alzheimer's |
Chanwoo Kim | University of Korea | Machine learning |
Chao Cai | University of South Carolina | Survival Cure model, Alzheimer’s disease, Anticholinergic drug, AD Biomarker |
Chao Cai | Jiangxi University of Finance and Economics | Federated Learning |
Chao Cao | UTA | Alzheimer |
Chao Chen | Stony Brook University | Image analysis, deep learning. |
Chao Gong | Peking Union Medical College Hospital | emergency and severe disease, Alzheimer's Disease |
Chao Huang | UNC | multiscale adaptive regression model shape analysis |
Chao Jung Huang | National Taiwan University | AD prediction |
chao Lee | UCAS | adni |
Chao Li | Xi'an Jiaotong University | master,image segmentation and classification |
Chao Li | Institute of Automation, Chinese Academy of Sciences | Deep Learning, Classification, Brain Disease, Transformer |
Chao Li | JD.COM | cross-modal learning, contrastive learning, unsupervised deep learning |
Chao Li | Tianjin medical university | cMCI |
Chao Liu | Peking University | diagnosis, deep learning |
chao song | Harbin Medical University | Multi-omics studies |
Chao Sun | Nanyang Technological University | GAN, MRI, DTI |
Chao Suo | Monash University | intervention, longitudinal, MCI |
Chao Wang | Zhejiang University School of Medicine Second Affiliated Hospital | Glymphatic system, MRI, Alzheimer's disease |
Chao Ying | East China Normal University | data analysis |
Chao Ying | National University of Singapore | data analysis |
chao ying | East China Normal University | Academic Research |
chao yinzhi | University of Chinese Academy of Sciences | classification |
Chao Zhang | University of Electronic Science and Technology of China | Brain network, classification, |
Chao Zhang | Nanjing University | academic research |
Chao Zhang | Boston University | Aging, AD |
Chao Zhou | Florida state University | PHD research |
Chao-Gan Yan | Chinese Academy of Science | deep learning; AD; classfication |
Chao-Ping Lee | National Chiao Tung University | Alzheimer's disease (AD), deep learning, CNN, MRI, PET |
chaochao hu | Henan Polytechnic University | Medical image classification,Graph convolution neural network |
Chaofan Geng | Capital Medical University, | ADNI,biomarkers,cohort |
chaogang zhang | China University Of Petroleum | AD diagnose |
Chaohe Zhang | Peking University | diagnosis model |
Chaoji Yu | Capital Medical University | AD , biomarker, risk gene |
Chaojun Li | Nanjing University of Aeronautics and Astronautics | Brain imaging study |
chaojun zhang | liaochengdaxue | Functional brain networks, disease diagnosis |
Chaolin Li | Guangzhou University | fMRI |
Chaolin Li | South China Normal University | AD, Diagnosis |
Chaoqi Liang | Shanghai AI laboratory | disease prediction,multimodal |
Chaoqi Liang | Harbin Institute of Technology | AI, prediction method for alzheimer's disease |
Chaoqing Xu | Zhejiang University City College | Alzheimer's disease;Disease Pattern;Visual analysis |
Chaoqing Xu | Zhejiang University City College | Computer Science, Neurodegenerative Data Visualization |
Chaoqun Wang | Wenzhou Medical University | USP25 Alzheimer's disease cognitive function |
chaoqun Yan | Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine | Machine learning; sMRI |
chaoqun Yan | Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine | Alzheimer's disease; Machine learning; sMRI |
Chaowen Huang | National Yang Ming Chiao Tung University | Fractal Dimension, Cortical thickness, machine learning, individual diagnosis |
CHAOXIA YUAN | East China Normal University | model selection, missing data |
Chaoyi Wei | Wenzhou Institute, University of Chinese Academy of Sciences | Alzheimer's disease ,Early diagnosis,Artificial Intelligence (AI) |
Chaoyi Wu | Shanghai Jiao tong Unniversity | request for the dataset used in medical image analysis research |
chaoying qi | 锦州市附属第一医院 | 认知障碍 |
Chaoyu Du | Wuhan university of Science and Technology | brain funtional networks, connection densities |
Chaoyue Ku | Zhengzhou University | cognitive function |
Chaoyue Sun | University of Florida | Anomaly Detection, Disease Prediction |
Charaf Zguiouar | UNIVERSITE LE HAVRE NORMANDIE | AI,Radiology, automated diagnosis |
Charalampos Vasiliadis | University of Bath | artificial intelligence, multi-modal techniques, anomaly detection |
Charitha shetty M | SJCE | Alzheimer disease |
Charlee Cobb | New York University | bioinformatics |
Charlene Preys | Brigham and Women's Hospital | machine learning |
Charles Brandt | Indiana University | data management download |
Charles Cunningham | University of Toronto | 13C lactate ANLS |
Charles DeCarli | University of California at Davis | MRI, cerebrovascular disease |
Charles Gallay | EPFL | Master These |
Charles Malpas | The University of Melbourne | CSF, biomarkers, cortical thickness |
Charles O'Brien | Genentech | longitudinal measures cognitive decline biomarkers Alzheimer's |
Charles Pace | New York University/Student | HOMA-IR, insulin resistance, hippocampal volume, mild cognitive impairment |
charles Ramassamy | INRS | Exosomes |
Charles Van De Mark | Massachusetts Institute of Technology | Alzheimer’s, AD, multilayer perceptron, MLP, genomics, genetics, fully convoluti |
Charles Zhou | astar | Research |
Charley Budgeon | University Of Western Australia | Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing, |
Charli Harlow | GSK | Genetics, drug discovery, drug development, genomics analysis |
Charlie Gamett-Griggs | University of Bath | MRI, Convolutional Neural Network, Deep Learning, Transfer Learning |
Charlie Hicks | Oxford Brain Diagnostics | DTI |
charlie leger | York University | cortical, subcortical grey matter volume |
Charlie Leger | Concordia University | volumetric analysis |
Charlotte Akbarin Mayvani | Islamic Azad University, Tehran Medical Branch | DTI, Alzheimer, RAS Nuclei |
Charlotte Drane | University of Southern Mississippi | malnutrition, cognitive decline, |
Charlotte Messier | University of South Carolina | Undergrad, Assignment, Statistics |
Charlotte Sleurs | Tilburg University | connectome, accelerated ageing |
Charmake Moussa Abdi | Université de Mohamed 6 de Science et de la santé | ml,deeplearning |
Charmi Ramoliya | National Institute of Technology Karnataka,Surathkal | Alzheimer's Disease, Brain MRI, CNN |
Charul Giri | University of Agder | 3D CNNs, Alzheimer's detection, Alzheimer's prediction, Computer vision |
Chase Duncan | UIUC | biomedical image segmentation; machine learning; hippocampus segmentation |
Chase Metzger | Belmont University | biomarkers, neurofilaments, neuroimaging, FTD |
Chatchawit Aporntewan | Chulalongkorn University | Microsatellite markers, Alzhemimer's disease, mild cognitive impairment |
Chauncy Qian | University of Shanghai for science and technology | Deep learning |
Chavier Laffitte | University of Florida | pain, chronic pain, machine learning, alzheimer's |
Chavva Bala Meghanath Reddy | JSS Science and Technology University | Research |
Chayanon Pamarapa | Mahidol University | Alzheimer’s Disease,Brain MRI, PET imaging, Machine learning, SVM, WEKA |
Chayut Bunterngchit | Chinese Academy of Sciences | Machine Learning, Deep Learning, MCI, AD |
che jiajing | shandong university | radiomics |
che jingjing | shandong university | Alzheimer's disease, neural network, mild cognitive illness, prognosis |
Che Liu | University of Miami Miller School of Medicine | sex differences, sex-specific cognition-brain link |
chee keong chong | University Teknologi Petronas | CNN, deep learning, classification, |
Chelsea Alvarado | University of Virginia | deep learning models, research, neuroimaging genomics project |
Chemousse Berdjouh | Kasdi Merbah University | diffusion models, medical images generation |
chen cao | Nanjing Medical University | TWAS, imaging-wide association study, MRI, machine learning |
chen chen | Beijing Forestry University | Alzheimer's disease, prediction, Rs-fMRI |
Chen Chi-ming | National Central University | gene mutation, machine learning, old-age insurance |
Chen Die | Zhejiang Gongshang University | Zhejiang Gongshang University,analyze the paper |
Chen Ding | Shenzhen Institutes of Advanced Technology Chinese Academy of Science | brain image |
Chen Ding | Shenzhen Institutes of Advanced Technology Chinese Academy of Science | brain image |
chen Ellery | FUDAN UNIVERSITY | fmri AD |
CHEN ER | YANSHAN | ADNI |
Chen Fang | Florida International University | Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment |
Chen Fang | Tongji Univercity | 1204061993cx |
CHEN FENG | University of Electronic Science and technology | academic research |
Chen Gan | 南京大学 | Medical Image Process |
chen jie | Institute of psychology | human brain connectivity |
Chen Jin | Changzhou university | radiomics |
chen jin | ZJUT | Multimodal Medical Image Processing;Medical Image Synthesis; |
Chen Jingtao | City University of Hong Kong | Medical Image Process |
chen jinyi | Northeastern University | Alzheimer's disease;brain functional network |
Chen Jinyu | Shanxi Medical University | learn |
chen jiongxue | Sun Yat-sen University | alzheimer pbmc |
chen johnniechen | XiaMen university | Blood sugar in AD |
CHEN JUN | Affiliated Hospital of Xuzhou Medical University | cny8957711 |
chen lei | 高容科技 | alzheimer |
chen LI | Beihang University | deep learning, Alzheimer's Disease |
chen libiao | Beijing University of Technology | study,Deep Learning |
chen linghao | Shenzhen University | deep learning, multi-modality, AD |
Chen Panpan | Yunnan university | 1826274268071 |
Chen Qi | Northeastern University | Imaging omics,image processing |
chen qian | HNU | Alzheimer's Disease Early Diagnosis Based on Deep Learning |
chen qian | xinjiang university | Alzheimer's disease |
chen qiu | JilIin University | 997518cqy |
Chen Ran | Harbin Institute of Technology,Shenzhen | brain age |
Chen Ren | Chang Gung University | fMRI |
Chen rong bing Chen rong bing | The First Affiliated Hospital of Fujian Medical University | research |
Chen siwei | CZU | HONGKONG |
chen sy | 成都信息工程大学 | 研究,非商业 |
chen taicai | Harbin Institute of Technology (Weihai) | AD diagnosis;Multi-view learning;Multimodal learning |
chen wang | Zhejiang Chinese Medical University | Alzheimer's disease |
chen xiaorong | Wuhan University of Technology | single-cell sequencing |
Chen Xinran | Renmin university of China | Functional Principal Component Analysis; Dimension Reduction; cluster |
Chen Xuchu | Tsinghua University | MRI,PET |
Chen Xue | nanjing brain hospital | dynamic funcitonal connectivity, subjective cognitive decline |
chen xueyi | Sichuan university | selfhet1999. |
Chen Yang | Harvard University | School Project for MIT (ML Healthcare) |
Chen yanru | lanzhou university | mild cognitive impairment, Alzheimer’s disease, dementia |
CHEN YI | yanshan | ADNI |
Chen YingQian | GuagnDong University of Technology | landmarks |
chen yong | University of Science and Technology of China | cyl1226 |
chen yu | Chengdu University of Information Technology | image registration |
chen yu | hefei university of technology | dataset |
Chen Yuewei | Renji Hospital, Shanghai Jiao Tong University School of Medicine | Alzheimer’s Disease; differential expression |
Chen ZHANG | United Imaging Healthcare Technology Co., Ltd | feature engineering, machine learning |
Chen Zheng | The University of Waikato | Medical Image Reconstruction, Deep Learning, Generative Adversarial Networks |
chen zheng | Centrol South University | semantic segmentation |
chen zhenpeng | Capital Medical University | fmri;Alzheimer's disease; |
Chen Zhihan | Fudan University | fMRI/dFC |
Chen Zhixiang | Henan University of Technology | experimental analysis |
Chen Zi Yang Chen Zi Yang | Guangdong University of Technology | ADNI ; GAN; image segmentation |
Chen Zijie | Tongji University | class project, neural network, computer vision |
Chen-Yu ZHAO | University of Electronic Science and Technology of China | multi-modal learing, classification |
Chenan Wang | Drexel University | image-processing, data mining, deep learning, AD progression, early diagnosis |
CHENCHEN FAN | Institute of Automation,Chinese Academy of Sciences | machine learning |
Chenchen Lin | University of Pennsylvania | Data-driven subtypes of AD |
Chenchen Tan | Qingdao Municipal hospital | asdf1234 |
Chenfei Ye | Harbin Institute of Technology at Shenzhen | structural-functional coupling |
Chenfeng He | University of Wisconsin at Madison | data integration |
Cheng Bi | Chinese Academy of Sciences | Medical image analysis; Artificial intelligence |
cheng du | Chinese Academy of Sciences | brain inspired |
cheng jiang | Wuhan University | multi-modal,Alzheimer's Disease, classification |
Cheng Jiatao | Sichuan University | Deep learning |
Cheng Jiawen | Nanjing Medical University | cortex |
cheng jiayuan | Anhui University | cjy199611071764165757 |
Cheng JIN | The Hong Kong University of Science and Technology | active learning, casual learning |
cheng junfeng | Sichuan University | brain image |
Cheng Lei | East China Normal University | Alzheimer’s disease, blood biomarker, machine learning |
Cheng Li | Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences | Brain tissue segmentation, deep learning |
cheng lin | DaliUniversity | MRI |
Cheng Pan | The University of Hong Kong | predicting Alzheimer's disease |
Cheng Peng | University of Maryland | CNN |
cheng sanbao | China Medical University | structureAlzheimer |
Cheng Tang | Huazhong University of Science and Technology | PET, AD Metric Evaluation |
Cheng Wang | South West Minzu University | AD GCN |
Cheng Yang | ABC company | 鸭血粉丝汤 |
Cheng Yi Lin | NTHU | ADSL |
cheng yueqi | northeasten university | research |
cheng zihao | Anhui Medical University | chengzi340123 |
Cheng-Han Wu | National Yang-Ming University | PiB, FDG, AD, MCI |
Cheng-Hsun Chuang | TCI Gene Inc. | Asia, SNP, germline, Alzheimer's disease |
Chenganen Chenganen | GuangDongBaiYun University | ADNI; FCN; GAN; predict |
chengbo wang | university of sdney | brain scan, ad progression |
Chengcheng Wang | Liaocheng University | Scientific research |
Chenghao Koo | Nanchang University | de-noising fMRI data, deep learning |
Chenghao Liu | Beijing Institute of Technology | brain lesion segmentation |
chenghao weng | Peking University | Mendelian Randomization |
Chenghong Li | Chongqing University of Technology | artificial intelligence, graph convolutional network, disease prediction |
Chenghui Zhang | Qufu Nomal University | Image processing |
chengjian li | Xi’an University of Technology | Detection of Alzheimer's disease |
Chengli Hu | Shenyang aerospace university | Graduation thesis, training simple neural network |
Chengli Ni | Beijing Jiaotong University | multimodal, disease diagnosis |
Chenglong Ye | University of Kentucky | Alzheimer's disease ,mortality, smoking, demographic |
Chengming Xu | Fudan University | pu-learning |
Chengqian Zhou | Tianjinuniversity | AD MRI PET |
Chengrui Li | Georgia Institute of Technology | Computational neuroscience, machine learning, summer school study |
Chengsheng Li | ,Weifang Medical University | academic research thesis writing |
Chengsheng Mao | Northwestern University | Machine learning, Data Mining, computational phenotyping |
Chengshi Jin | UCSF | brain |
Chenguang Wang | Johns Hopkins University | Statistical methodolgoy; joint evaluation |
chenguang YANG | University of Electronic Science and Technology of China | use data for study |
Chengwei Feng | Auckland University of Technology | EEG fMRI Alzheimer's Disease dementia |
Chengwei Zhong | National University of Singapore | Functional Data Analysis MRI FMRI DTI |
Chengxin Wu | Hefei University Of Technology | Academic Research; Mathematical Statistics; Functional Data Analysis |
Chengxin Wu | Hefei University of Technology | Statistical Research |
Chengyi Qian | University of Shanghai for science and technology | MRI, deep learning, AD, MCI |
CHENGYU HSIEH | National Taiwan University | PET/MR images analyze |
Chengyu Qiu | Nantong University | AD, EEG, machine learning |
Chengyuan Sha | Queen's university | alzheimer's disease research |
Chengyuan Wu | Agency for Science, Technology and Research (A*STAR) | glaucoma, multimodal learning, machine learning |
Chengyue Huang | Renmin University of China | data imputation, multi-modalities, EHR |
Chenhaoyi Xu | Tongji University | amyloid-PET, FDG-PET, functional MRI. |
chenhui wang | Fudan University | Image reconstruction |
chenjie chang | Xinjiang University | reproduce;paper |
ChenJuan ChenJuan | 中南民族大学 | registration |
Chenke Liu | northwest university | Deep learning |
Chenliang Gu | Beijing Normal University | cluster analysis |
chenlu liu | Suzhou Hospital,Nanjing Medical University | hao159753liu |
chenming zhou | hebei medical university | pathology,Alzheimer disease |
Chensheng Pan | Tongji Hospital, Tongji Medical College, Huazhong University of Science and Tech | Cerebral Amyloid Angiopathy, cerebral microbleeds, white matter changes |
Chenxi Li | Michigan State University | structural MRI, fMRI, ICA, survival analysis, high dimensional feature selection |
chenxi Pan | Tongji University, school of medicine, Tongji hospital | Alzheimer disease, MRI |
Chenxi Wang | University of Technology and Science of China | deep learning, pattern recognition, fMRI, AD |
Chenxi Yang | XIdian University | medical image segmentation |
Chenxi Yuan | University of Pennsylvania | Alzheimer Disease, Neuroimaging, Missing data |
Chenxi Zhou | Huazhong University of Science and Technology | AD identify predict evaluation |
Chenxin Li | Xiamen University | brain MRI |
Chenxin Yan | beijing institute of technology | medical image segmentation |
Chenxuan Zhu | zjsru | 3D MRI |
Chenyang Fan | Unviersity of Melbourne | noramtive modelling, mental disorder |
Chenyang Li | NYU | Neuroimaging |
Chenyang Wang | Southern Medical University | wcy111111 |
Chenyang Zheng | XI'an JiaoTong University | deep reinforcement learning |
Chenyi Qian | The University of Hong Kong | Data analysis, SPM, Matlab |
Chenyu He | Shanghaitech University | Segmentation, T1, Human Brain |
chenyu huang | JILIN university | Alzheimer |
Chenyu Jiang | University of Sheffield | Research; predicting AD procession |
Chenyu Lian | Xiamen University | image registration; deep learning; medical image analysis |
chenyu liu | Beijing university of posts and telecommunications | Deep Learning |
Chenyu Liu | National University of Singapore | Deep Learning |
Chenyu Ren | The Hong Kong Polytechnic University (PolyU) | machine learning, MRI, SNP |
Chenyu Shen | SICHUAN UNIVERSITY | PET Imaging |
Chenyu Shen Chenyu Shen | Hangzhou Dianzi University | scy19980415 |
Chenyu Wang | 山东中医药大学 | 数据集下载 |
Chenyu Wang | SHANDONG UNIVERSITY OF TRADITIONAL CHINESE MEDIGINE | MORE DETAILED |
ChenYuan Wang | Chungshan Medical University | DTI |
Cheol-Ho Cho | Sungkyunkwan Univ. | Alzheimer's disease prediction |
Cheolki Im | Gwangju institute of science and technology | Electrical brain stimulation, anatomical head modeling |
Cher Bass | King's College London | generative models, deep learning, biomedical data |
Cheshire Hardcastle | University of Florida | Resting-state network, resting-state connectivity, MCI, aging, cognition |
Chetan Balaji | CIT Gubbi | Alzheimer's and Parkinson's Disease |
Chetana Baradia | UT Health Science Center | APOE, variants, APOE3, APOE4, APOE2 |
Chetanya Puri | KU Leuven | Personalised machine learning Alzheimer's Prediction |
Chethan Babu Venkata Reddy | National Center for Tumor Diseases | Latent space GCNs, benchmarking |
Chethan K` | vidyavardhaka college of engineering | CLASSIFICATION, CBIR |
Chethana Bhaskara | University of Southern California | alzheimers, machine learning |
Chetna Chowrasiya | Jabalpur Engineering College, Jabalpur | ,Alzheimer disease detection, CNN, Machine learning models, Python |
Cheuk Ni Kan | National University of Singapore | Amyloid, neuropsychiatric symptoms |
Cheuk Wing Fung | The University of Hong Kong | fMRI |
CHEWEI HSU | National Yang Ming Chiao Tung University | steven8976steven |
Cheyenne Smith | Weill Cornell Medical College | Traumatic Brain Injury, Alzheimer's Disease, tau deposition |
Chi Chen | Guizhou University of Chinese Medicine | Repeatability validation, machine learning algorithms |
Chi Long Ho | Sengkang General Hospital | neuroradiology, neuroimaging, MRI |
Chi Udeh-Momoh | Imperial College London | plasma NFL, telomere length, preclinical AD |
Chi Wing Mok | Hong Kong University of Science and Technology | Registration, Deformable, Convolutional neural network |
Chi Yeh Chen | National Taiwan University | Alzheimer |
chi zhang | anhui university | 1 |
Chi Zhang | ByteDance Ltd. | AD, genetics, biomarker |
Chi-Hun Kim | University of Oxford | Race, APOE, Amyloid |
chia xiu chen | National Taiwan University of Science and Technology | #hippocampal atrophy #brain segmentation |
Chia-Hsiang Kao | National Yang-Ming University | Medical images synthesis |
CHIA-HSING CHI | National Taiwan University | episodic memory, hippocampal subfields, retention performance |
Chia-Ling Phuah | Washington University School of Medicine in St Louis | imaging, white matter, cerebrovascular disease |
Chia-Po Wei | National Sun Yat-sen University | machine learning, Alzheimer's disease |
Chia-Shang Liu | University of Southern California | fMRI, connectivity, cognition |
ChiaChu Hsieh | NHRI | Alzheimer’s disease and MCT oil |
Chiahao Wu | New York University | Predictive Model, Predictive Analytics, Early diagnosis |
Chiamaka Diala | The University of Texas Health Science Center at Houston (UTHealth) School of Bi | Alzheimer's disease, SNPs, Clinical data |
Chiara Brück | ErasmusMC | Microsimulation modelling; Public health; Dementia; Epidemiology |
Chiara Carbone | Università degli Studi di Modena e Reggio | Hippocampus, PhD |
Chiara Mauri | Technical University of Denmark | prediction of AD |
ChiaYu Shen | National Taiwan University | deep learning; sequential medical image |
Chichili Joshansai Reddy | vellore institute of technoogy , chennai | Alzhemeir's Disease, Deep Learning Models,Journal Publication |
chichun Chiu | National Sun Yat-sen University | Neural Network, CNN, Machine Learning, |
CHIEH-SHENG YANG | National Chiao Tung University | Alzheimer's disease, Diagnosis, Artificial Intelligence |
Chien Nguyen | Vietnam Military Medial University | Brain atrophy, Ageing |
Chien-Wei Chen | China Medical University Hospital | artificial intelligence, medical image,genetic data |
Chientiao Chu | Hangzhou Dianzi University | AD;Music;EEG;FC |
Chih Hao Huang | George Mason University | XAI, machine learning, expandability, neuroimaging, genomic |
Chih-Chieh Chen | CGMH | AD |
Chih-Chien Tsai | Chang-Gung University | Resting stat fMRI, deep learning, mild cognitive impairment |
Chiharu Sako | Univ of Pennsylvania | Brain Tumor, Glioblastoma, |
Chiheb Karray | CNRS (Digital Research Centre of Sfax) | Machine Learning, Data Integration, Biomarker Discovery |
Chima Eke | University of Plymouth | Biomarkers, data analysis, machine learning, deep learning |
Chimon Gu | Xiamen University | machine learning; radiomics; neuroimaging; AD |
Chin Hong Tan | Nanyang Technological University, Singapore | polygenic hazard score, cognitive decline |
Chin Ossai | Swinburne University | Dementia, MRI, Decision support,, Machine learning |
Chinagorom Ibeachu | NIGERIA | Women, Alzheimer's, Risk factors, Hormones |
Chinchu M John | College of Engineering,Trivandrum | ADNI,MRI |
Chinedu Ossai | Swinburne University | Alzheimer, dementia, artificial intelligence |
Ching Chi Wang | National Chiao-Tung University | Machine Learning, Alzheimer's disease, Beta-Amyloid |
Ching-Heng Lin | National Yang-Ming University | medical informatics |
Ching-Ting Lin | China Medical University Hospital, Taichung City, Taiwan | Dementia, Deep Learning, MRI |
Ching-Tsung Tsai | New York University | Neyman-Pearson paradigm, Asymmetric errors control, Machine learning |
Chingwen Hsu | University of Durham | Alzheimer's disease, transfer learning |
Chinmai Basavaraj | University of Arizona | MRI, fMRI, Deep Learning, Alzheimer's |
Chinmay Prabhakar | University Hospital Zurich | deep learning; image processing |
Chinmaya Anchan | JSS Science and Technology University | ALZHEIMER, FALSE POSITIVE, DECREASE |
Chinmaya Panda | Indian Institute of Technology Guwahati | MRI, PET, Images, Brain, Alzheimer's |
Chintan Varnagar | Government Engineering College - Rajkot | Neurodegenerative disorders , MRI, f-MRI, Biomarkers |
Chipeng Wang | Ping An Healthcare Diagnostics Center | AD;MRI |
Chirag Raju | Indian Institute of Technology Bombay | Feature alignment, transfer learning, domain adaptation for Alzheimer's disease |
chiranjib patra | calcutta institute of engineering and management | Deep learning, Prediction, alzheimer |
Chiranjibi Sitaula | Monash University | data imputation, cross-modality synthesis, multi-modalities |
Chiranjit Dutta | University of Connecticut | Longitudinal data analysis |
Chitra PKA | iNurture Educational Solutions | ML Methods, Alzheimer |
chiyin liu | Jinan University | survival analysis |
chiyin zheng | chinese institute of psychology | PCA |
Chiyu Liu | xuzhou medical university | medical image |
Chiyu Wang | hunan university | Alzheimer's disease diagnostic system project,ADNI dataset,Hunan University |
chiyu wei | Shantou university | Multimodal diagnosis;Neural network;Deep learning |
Chloe Eng | UCSF | psychometrics; cognition; epidemiology |
Chloe Robins | GSK | AD, proteomics, disease progression |
Chloé Sarnowski | Boston University School of Public Health | White matter hyperintensities, Hippocampus volume, Whole Genome Sequencing |
Chloe Sarnowski | UTHealth Science Center at Houston | GWAS, Genetic and Omic association analyses |
Chnahwi Jeong | Gwangju Institute of Science and Technology | To study ADNI data |
CHOEUN LEE | Chosun university | Genetic data |
Choi Injun | POSTECH | medical imaging, graph neural network |
CHOI Jae Hyeok | gyeongsang national university | dementia and the brain of the general public |
Choi SangKyu | Hallym university | Deep running data collect |
Chollette Olisah | University of the west of England | computer science |
chong liu | beijingyanhua | deep learning PET |
chong tao | Xidian | xidian |
Chong Wei | Harbin Institute of Technology,ShenZhen | segmentation |
Chong Wong | The University of Sydney | FDG-PET, ECD SPECT, epilepsy, MRI |
Chong Yuan Fan | National Chiao Tung University | MRI |
Chong ZHONG | The Hong Kong Polytechinc University | Bayesian/Survival/Right censored |
Chonghua Xue | Boston University | machine learning; Alzheimer's disease |
Chongming Ni | Carnegie Mellon University | deep learning |
Chongwon Pae | Yonsei University College of Medicine | fMRI, Functional connectivity, Machine Learning, |
Chongyue Zhao | University of Pennsylvania | Deep learning, AD classification |
Chooza Moon | University of Iowa | metabolomics |
Chor Seng Tan | I2R | Genentech 404 Challenge |
CHOU SHIHWEI | Soochow University | Gene, MRI |
Chou Yu-Sheng | National Central University | white matter hyperintensities |
chris barlow | The Open University | AD, Dementia, MCI, Biomarkers, Trisomy 21 |
Chris Dodds | University of Exeter | Education |
Chris Foster | UT Dallas | Center for Vital Longevity | Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei |
Chris Gatenby | University of Washington | MRI |
Chris Haddad | Amazon | Graph Convolutional Neural Network, Geo- metric Matrix Completion, Graph signal |
Chris Hayward | Newcastle University | Cognition, Structural connectivity, Brain, MCI, IQ |
Chris Kang | University of Calgary | nuerodegeneration |
Chris Nielsen | University of Calgary | machine learning, neural networks, precision medicine |
Chris Page | GE Healthcare | Combinostics cMRI Freesurfer structural MRI quantification |
Chris Rhodes | Imperial College London | pulmonary hypertension |
Chris Rorden | U South Carolina | software development |
Chris Thomas | Soterix Medical | Brain labels |
chris weise | University hospital Halle | sMRI, FDG-PET, BMI, Hypothalamus, SBM |
Chris Zhang | Springlight Education | Machine Learning |
Christa Dang | University of Melbourne | cognition, MRI, APOE, longitudinal, biomarkers |
Christabelle Pabalan | UCSF | earlydetection, ML |
Christelle Cantet | Gerontopole CHU Toulouse | omega-3, cognitive function |
Christelle Schneuwly | CHUV | Deep learning, MRI |
Christian Agudelo | University of Miami Miller School of Medicine | DTI, microstructure integrity, gray matter diffusivity, cognitive decline |
Christian Bernal | California State University, Bakersfield | Statistics |
Christian Boschenriedter | Heinrich-Heine-Universität Düsseldorf | Parkinson's disease, machine learning |
Christian Dansereau | Perceiv Research, Inc. | Biomarker, progressors prediction, cognitive decline |
Christian Espinoza | UFSCAR | Deep learning |
christian freytes | florida international university | machine learning |
Christian Gaser | Jena University Hospital | brainage, vbm |
Christian Henke | University Medical Center Goettingen | Syntetic data creation; Software testing |
Christian Hinge | University of Copenhagen | Deep Learning, Dementia, Alzheimers, GAN, domain transfer, MR, PET |
Christian Immanuel Ella | University of the Philippines Manila | Dementia, Deep Learning, Neural Networks |
Christian Langkammer | Medical University of Graz | deep learning, AD, iron, QSM |
Christian Lucas | Helmholtz-Zentrum Geesthacht | deep learning prediction |
Christian Mora | Universidad Nacional Autonoma de México | path analysis, alzheimer, causal model |
Christian Núñez | Parc Sanitari Sant Joan de Déu | global asymmetry, localized asymmetry, gray matter, white matter |
Christian Rodriguez Hernández | BUAP | biomechatronics |
Christian Rubbert | University Dusseldorf, Medical Faculty | atrophy,veganbagel |
christian scheiber | hospices civils de Lyon | spatial normalization, ventricular enlargement, CT |
Christian Wachinger | MIT | shape analysis |
Christian Wallraven | Korea University | deep neural networks; brain structure; transfer learning |
Christiane Licht | University of Iowa | training |
Christiane Reitz | Columbia University | genetic variants, whole genome sequencing, cognitive decline, endolysosomal |
Christie Lincoln | Baylor College of Medicine | Hippocampus; normal volume hippocampus |
Christina Andica | Juntendo University Graduate School of Medicine | Diffusion MRI, Free-water imaging |
Christina Boyle | USC/IGC | AD MCI Conversion MRI |
Christina Braun | Fraunhofer-Gesellschaft | AI-based model |
Christina Chan | Michigan State Univ. | NCI-DREAM 8.5 |
Christina Chen | University of Pennsylvania | Statistics, imaging |
Christina Ferrari | University of Pennsylvania | progression |
Christina Fliege | University of Illinois | machine learning, deep learning, MRI |
Christina Gancayco | University of Virginia | neural network, machine learning, deep learning |
Christina Ledbetter | LSUHS | homotopic connectivity |
christina Mars | Shanghai Institute of Technology | Alzheimer's disease, Deep learning |
Christina Moensted | Cordance Medical | brain and head size |
Christina Papadogianni | Harokopio University | thesis,AI models, image classification |
Christina Rabe | Genentech | Study design; Biomarker |
Christina Tremblay | McGill University | Alzheimer's disease, atrophy, cognitive deficits |
christina Wadid | Faculty of Graduate Studies for Statistical Research | Geodesic Regression |
Christina Weber | Technical University of Munich | deep learning pet mri |
Christina Young | Stanford University | cognition, amyloid, tau |
Christine Bolton | UCL | Coding course |
Christine Charvet | Delaware State University | Cortex |
Christine Fennema-Notestine | UCSD | MRI, thickness, morphometry, shape analysis, PET |
Christine Johnston | UNIVERSITY OF WASHINGTON | Herpes simplex virus, ApoE-e4 |
Christine Nies | University of Technology Malaysia | Alzheimer's Disease |
Christine Randall | Bricken & Associates | MCI, cluster analysis |
Christine Swanson-Fischer | NIH-NINDS | Biomarker |
Christoforos Hadjichrysanthou | Imperial College London | Alzheimer’s disease; biomarker trajectories; clinical trial simulations; |
Christoph Clement | Inselspital Bern | CNN, Deep Learning, AI, Saliency |
Christoph Großbröhmer | University of Lübeck | image registration domain adaptation |
Christoph M. Friedrich | University of Applied Science and Arts Dortmund | SNP subset selection |
Christopher Bartlett | Nationwide Children's Hospital | latent trait, matrix completion, imputation, missing data |
Christopher Brown | Hospital of University of Pennsylvania | Diffusion tensor imaging; tau; microstructure; connectivity |
Christopher Brydges | University of California, Davis | Bayesian statistics; research methods |
Christopher Clarke | University of Strathclyde | Financial capacity, Alzheimer's, MCI |
Christopher Collins | New York University | MRI safety, SAR, temperature |
Christopher Edgar | Cogstate | cognition, at-home, feasibility, validity, reliability |
Christopher Fleetwood | University Of East Anglia | Alzheimers, Deep Learning, CNN, GCNN |
Christopher Galli | Roche | Machine Learning, Spatial Resolution, PET, Amyloid |
Christopher Gonzalez | Rosalind Franklin University of Medicine and Science | instrumental activities of daily living, financial capacity, WMH |
Christopher Hammerer | University Hospital Tulln | Data Repositories, AD |
christopher hancock | University of California Riverside & HALO Dx | Alzheimer's disease, dementia, MCI, AD, HC, CU |
Christopher Hemond | University of Massachusetts | atrophy, neutrophil-lymphocyte ratio |
Christopher Iwuagwu | Middlesex University, London | Alzheimer disease, Brain, CT Imaging |
Christopher Leatherday | Royal Perth Hospital | FDG-PET, TDP-43, Amygdala |
Christopher Liang | UC Irvine | Alzheimer's Disease, Parkinson's Disease, Beta-Amyloid Plaques, NFTs |
Christopher Lim | UC Berkeley | neuroimaging,early detection,prediction,machine learning |
Christopher Madan | Boston College | brain morphology; fractal dimensionality; healthy aging |
Christopher Man | The University of Hong Kong | Deep learning, human brain MRI segmentation |
Christopher Mayo | The University of Auckland | Genentech's 404 Challenge |
Christopher Owen | Washington University School of Medicine | ADOPIC |
Christopher Parker | UCL | disease progression modelling, diffusion MRI, volumetric MRI, microstructure |
Christopher Patterson | University of Southern California | Gender, Alzheimer's, |
Christopher Puglisi | Johns Hopkins University | 4D fMRI, AI, Medicine |
Christopher Pulliam | Case Western Reserve University | teaching, machine learning, artificial intelligence, education |
Christopher Rodgers | University of Cambridge | FDG PET, CMRglc, MCI |
Christopher Schwarz | Mayo Clinic | image processing, image analysis, methods, segmentation, morphology |
CHRISTOPHER SCOTT | Sunnybrook Research Institute | volumetrics |
christopher spencer | Cardiff university | Classified Pet scan images |
Christopher Steele | Concordia University | multimodal, covariance, structure, function, deficit |
Christopher Weise | University of Leipzig | weight loss, BMI, hyopthalamus |
Christos Davatzikos | University of Pennsylvania | classification, MCI, conversion to AD |
Christos Diou | Harokopio University of Athens | deep learning, neural networks, interpretable machine learning |
Christos Xanthis | Lund University | simulation, virtual imaging trials, AI |
Chryzal Beaudelaire ZOSSOU | chryzalite | bxch |
Chu Min | Xuanwu hospital | structural MRI , FDG-PET, Tau PET, amyloid PET, DTI |
Chu Yang Chu | China Jiliang University | Research, learning |
Chu-Chung Huang | National Yang-Ming University | white matter lesion |
Chu-Yun Xiao | Qingdao Municipal Hospital, Qingdao University, Qingdao, China | cognitive function; neuroimaging; biomakers; gene |
Chuan Tan | University of Cambridge | HarP 135 final release 2015 |
Chuan-Yuan Wang | Qufu normal university | ABCDEF12 |
Chuanbin Ge | Beijing Insititute of Technology | alzheimer disease, epilepsy, lesion location |
Chuang Li | University of Chinese Academy of Sciences | research paper |
chuanhua ge | chongqing medical university | AD |
chuanlu jiang | Dalian University of Technology | research the code |
Chuanzhen Zhu | Yantai University | AI Medical image processing |
CHUCHU WANG | The Chinese University of Hong Kong | imaging data, latent factors, nonignorable missing data |
chuchu zheng | Shanxi Medical University | Alzheimer's disease Machine learning predict classification |
Chufan Xu | Chongqing University of Technology | Statistical Analysis |
Chuin Hau Teo | Monash University Malaysia | Alzheimer's, dementia, beta-amyloid |
chujun ouyang | xiangtan university | AD image classification |
Chukiong Loo | Universiti Malaya | Explainable Deep Learning, Dementia |
Chukka Annie Anuhya | Vasireddy Venkatadri Institute of Technology | alzheimers |
Chul Kwon | Daejeon Univ. | AD, Machine Learning, Deep Learning |
Chulkyun Ahn | Seoul National University | PET, DEEP LEARNING |
Chun Liu | Changzhou University | positive,optimistic |
Chun Mei Bian | Tongji Medical College,Huazhong University of Science and Technology | bile acid;intestinal microorganism;Alzheimer's disease |
Chun Xu | UTRGV | GWAS, WGS, common variants, rare variants, SNPs, CNV, AD, MCI, biomarkers, pathw |
chun yang | Capital medical university | vitamin A Alzheimer's disease |
CHUN,CHI TING | Kun Shan University | screening of alzheimer’s disease by facial complexion using artificial intellige |
Chuna Li | GUANGZHOU FIRST PEOPLE'S HOSPITAL | MCI |
Chunchen Xiang | China Medical University | xiangchunchen |
Chuncheng Ji | Boston University | Imaging |
CHUNFENG LIAN | University of North Carolina at Chapel Hill | deep learning, neuroimage analysis, early AD diagnosis & prediction |
Chung-Chin Kuo | National Taiwan University of Science and Technology | DTI, EPI, T1 |
Chung-Man Moon | Chonnam National University | MRI |
ChungFu Hsu | Chung Shan Medical University Hospital | Functional MRI, PET, Dementia |
CHUNGGAK LEE | MYONGJI HOSPITAL | GENETIC, NGS, SNV, BIG DATA |
Chunhua Liang | Shenzhen Second People's Hospital | "Alzheimer s disease" AND"Cerebral white matter"AND“MRI” |
Chunjie Shan | Anhui Medical University | AI, data analysis |
Chunle Qu | Inner Mongolia Medical University | Alzheimer's disease,MRI images |
Chunlei Zheng | Case Western Research University | Alzheimer's disease metabo |
CHUNPENG HSU | National Taiwan University | SPECT, dementia |
Chunran Lai | GuangDong General Hospital | none |
Chunrui Xu | Zhengzhou University | mathematical modeling, parameterization, spatiotemporal dynamics |
chunshan li | Kunming University of Science and Technology | fmri,genetic data,brain regions,gene |
Chunting Cai | Xiamen Univeersity | cct724724 |
Chunxiang He | Hunan University of Chinese Medicine | Alzheimer's disease, Tug1, Cognitive level,Neutrophils,C-reactive protein |
Chunxiang Jiang | Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences | neuroimaging, fMRI, DTI |
chunxiao wei | First Hospital of Jilin University | alzheimer disease,diagnosis,cognitive impairment |
chunyang wang | University of Science and Technology Beijing | alzheimer,machine learning |
Chunyu Li | West China Hospital, Sichuan University | wgs, SNP |
Chunyu Yang | Xian University of Architecture and Technology | target points,mage segmentation |
chunzhi Yi | Harbin institute of Technology | funtional connectivity |
CHUSHU SHEN | Shenzhen institute of advanced technology | brain network;β-amyloid; |
Chutian Zhang | Macau University of Science and Technology | machine learning, deep learning, classify, resting-state, connectivity analysis |
Chuwei Jiang | Beijing Normal University | Alzheimer disease. Default mode network |
Chuxuan Lin | Shenzhen University | Brain age |
Chuyi Sun | University of Minnesota | Plasma bile acid |
chuyuan wang | Northeastern University | brain image segmentation |
CI SHU | XINJIANGUNIVERSITY | research |
Ciara Moran | CCT Dublin | computing |
Ciel Wang | 长春理工大学 | AD |
Ciel Wang | 长春理工大学 | AD |
Cihan Kadipasaoglu | UTHealth Science Center at Houston | Alzheimer's, Cortical degeneration, Volume Loss |
Cindy Black | ShenZhen Institute of Advanced Technology Chinese Academy of Sciences | Biomedical imaging processing; Alzheimer disease; PET |
Cindy Ku | University of Bonn / /Fraunhofer Institut SCAI | Data Science, Neural network, MultiNODE, Master thesis |
Cindy Lucero Garcia Garcia | Douglas Research Centre | multimodal techniques |
Cintia Davila Rodriguez | Illinois Institute of Technology | deep learning classification |
cipor Ropic | Amity College | Alzheimers Prediction, Dementia Identification |
ck ys | 河南大学 | tide |
Claes Ladefoged | Rigshospitalet | AI, healthy control, dementia |
Claire Brécheteau | Ecole Centrale de Nantes | Reproduce experiment, students project |
Claire Ciampa | Brandeis University | atrophy, structural MRI, COMT, DRD2, executive function, memory |
Claire Hsieh | University of California, Davis | SNPS, Machine learning |
Claire Lancaster | University of Sussex | ApoE, Cognition, functional connectivity, sex |
Claire Lois | Saint Louis University | Neural Net, Images, Student |
Claire Lyu | UCLA | Prevention of Alzheimer's disease |
Claire Murphy | San Diego State University | Alzheimer's disease, MCI, ApoE E4, tau |
Claire PAQUET | Université de Paris | Lewy Body Dementia |
Claire Tang | Lynbrook High School | machine learning |
Clara Fischer | Neurospin, CEA | brain atrophy |
Clara Lisazo | Universidad de Mendoza | connectivity, epilepsy |
Clara Sorensen | UCSF | plasma, imaging biomarkers |
Clare Mackay | University of Oxford | cohort comparison |
Clarence Li | Rutgers University | data analyst |
Clarissa Jacobo Hernandez | University of California Berkeley | Glucose Metabolism, FDG PET |
Clarissa Sun | The Chinese University of HongKong, Shenzhen | shap, xgboost, machine-learning |
Clarisse Look | Karolinska Institute | Multimodal learning, feature fusion |
Clark Jeffries | University of North Carolina at Chapel Hill | novel regression method, permutation tests |
Claudene George, MD, RPh | Albert Einstein College of Medicine | ACE Inhibitors, Dementia |
Cláudia Alves | Universidade do Minho | MRI, Entorhinal cortex, Hippocampus, AD |
Claudia Iriondo | Genentech | imputation, cognitive decline, causal modeling |
Claudia Mengoni | University of Verona | Classification Multi-omics |
Claudia Moncada | Yachay Tech University | DCGAN, Image classification, Alzheimer |
CLAUDIA PATRICIA APONTE RESTREPO | UNIVERSIDAD DE ANTIOQUIA | ALZHEIMER'S DISEASE, GENETIC RISK, DYNAMIC CONNECTIVITY |
CLAUDIO GENTILI | University of Padua | Functional connectivity; Alzheimer |
Claudio Henriquez | Universidad de Concepcion | AD Automatic Diagnose, grey matter volume data analysis |
Clement Abi Nader | INRIA | Alzheimer's disease Disease progression model Machine learning |
Clement Chadebec | Université de Paris | Deep learning, classification |
Cleofe Pena-Gomez | MGH | AD |
Cleyson Mupfiga | University of the Western Cape | morphometry MRI Alzheimer's Disease neuroanatomy |
Clifton Haacker | Louisiana State University Health Sciences | Machine learning, pathology, Alzheimers |
Clinton Wright | University of Miami | Cognitive Reserve, Machine learning Methods, Mild cognitive impairment, AD |
Clovis Tauber | UMR U1253 iBrain, Université de Tours, Inserm | longitudinal data, multivariate analysis |
Clyde Zhe Zheng Lim | University of Edinburgh | nil |
cns gns | neu | FSL, segmentation |
Codangudi Balasubramanian Abhinav | City University of Hong Kong | Disease Prediction, BioSpecimen,Machine Learning,Data Analysis, Data Cleaning |
Cole Anderson | University of Washington | WMH, Imaging |
Cole Korponay | McLean Hospital | data fusion, alzheimer's, neuroimaging |
Cole Townsend | Texas Tech University | Deep learning, adversarial loss function, missing data completion |
Colin Birkenbihl | Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI | AETIONOMY, statistical comparism, modeling, validation |
Colin Groot | VU University medical center | Alzheimer's disease, Voxel-based morphometry, psychometrics |
Colin Groot | Amsterdam UMC; locatie VUmc | amyloid, tau, Alzheimer's, MRI |
Colin Humphries | Neurogazer USA | MRI, machine learning, deep learning |
Colin Kelly | University College Cork | "MRI" "PET" "fluorodeoxyglucose" "machine learning" "deep learning" "CNN" |
Colleen Lacey | University of Victoria | Neuroimaging, Neuropsychology, APOE, Cognition |
Colleen Millikin | University of Manitoba | delusions, Alzheimer's disease, MCI, NPI-Q, neuropsychological functioning |
Colleen Pappas | University of Kentucky | genetics, white matter, neuroimaging |
Colleen Parks | University of Nevada, Las Vegas | memory, recognition, RAVLT, tau, APOE |
Colm McGinnity | King's College London | functional connectivity |
Conceicao Bettencourt | UCL Queen Square Institute of Neurology | epigenetics, white matter changes |
Cong Ding | Dalian Friendship Hospital | AD |
Cong Hu | Jiangnan University | artificial intelligence, pattern recognition, image processing |
CONG Huiwen | Weifang Medical College | Joint latent class model; Alzheimer disease; Longitudinal markers; |
cong lin | HeXinKang | image registration |
Cong Liu | Qingdao university | AD |
CONG SHEN | Emory University | Alzheimer′s disease, classification, deep learning |
Cong Wang | new york university | transfer learning, neuroimaging analysis |
Cong Zang | University of Southern California | MRI, Machine learning |
Cong Zhang | Shenzhen University | GSP,data-driven |
Cong Zhou | Jining Medical University | subjective cognitive decline; mild cognitive impairment; Alzheimer's disease; |
Congbo Cai | Xiamen University | Image reconstruction, Multimodal image, Deep learning |
Congcong Zhu | Boston University | PRS |
Conghao Wang | Nanyang Technological University | Multi-omics; MRI; Graph Neural Networks; Alzheimer's Disease |
Congmin Liu | Jilin University | ADNI analysis |
Congsheng Li | China Academy of Information and Communications Technology | Deep learning |
Connor Behnen | University of Oklahoma | networks fmri |
Connor Binnig | University of Chicago | Modeling, Predictive Analytics, Algorithm |
Connor Lee | University of Toronto | MR to CT translation |
Connor O'Brien | Georgia Institute of Technology | Machine Learning Georgia Tech |
Connor Slagle | N/A | Neural Network |
Constantine Rubarth | University of Texas at Austin | obesity, Alzheimer's, Dementia |
Constanza Cortes | University of Alabama at Birmingham | exercise, skeletal muscle, CNS aging, Alzheimer's Disease |
Consuelo Chafer Pericas | Instituto de Investigación Sanitaria La Fe | imaging, plasma, biomarker, clinical data, Alzheimer Disease |
Cooper Grove | Penn State College of Medicine | Perfusion MRI, Alzheimer's, cognitive impairment |
Cooper Mellema | University of Texas Southwestern Medical Center | MRI image analysis |
Corentin Léger | ENSEIRB-Matmeca | Computer-Vision , Deep-Learning |
Corey Geurink | 1973 | exome, Alzheimer's, risk, allele |
Corey Giles | Baker Heart and Diabetes Institute | Lipidomics, Genomics |
Corey McMillan | University of Pennsylvania | PART, AD, SNAP, Methylation |
Corinne Engelman | University of Wisconsin-Madison | polygenic score, sequencing, rare variants |
Corry Fan | chongqing University of Posts and Telecommunications | AUGgac394 |
Cory Funk | Institute for Systems Biology | Alzheimer RNA-seq WGS |
Cory Funk | Institute for Systems Biology | metabolism, immune, transcription factor, gene expression |
Cosimo Tuena | Istituto Auxologico Italiano | cognitive decline; balance; gait; physical-cognitive performance |
Cosmin Bercea | Helmholtz AI | Anomaly Detection, Federated Learning |
Courtney Real | UCLA | Age |
COURTNEY SCHIFFMAN | Genentech | endpoints |
Courtney Vehling | Eli Lilly & Company | amyloid, tau, iADRS, outcomes, imaging |
Craig Bohrson | Harvard Medical School | clonal hematopoiesis, Alzheimer’s disease, Dementia |
Cristhian Carrillo | Universidad Autonoma de Occidente | Neural network, CNN, Alzheimer |
Cristian Lafuerza | Universidad de Zaragoza | University/Project/MachineLearning/NeuralImagesClassifier |
Cristian Marti | Methinks | deeplearning alzheimer diagnosis MRI |
Cristian Muñoz | Universidad de Chile | DeepLearning, WhiteMatter hyperintensities, Segmentation |
Cristian Reyes Moreno | University of Oldenburg | SEM, practical project, course, master |
Cristian Sandu | Technical University of Cluj-Napoca | Artificial Intelligence, License Thesis, MRI |
Cristian Solarte | ESESA IMF | hippocampal volume, memory impairment, neuroimaging, longitudinal analysis, biom |
Cristiana Simão | Instituto Politécnico de Setúbal | thesis |
Cristiano Baldassari | Università Gabriele D'Annunzio di Chieti Pescara | early alzheimer, topological data analysis |
Cristiano Baldassari | Università Gabriele D'Annunzio di Chieti Pescara | Explainable AI, Early Alzheimer, Embedding |
Cristiano Schaffer Aguzzoli | University of Pittsburgh | CDR, CDR sum of boxes, functionality |
Cristina Diego | UNIVERSIDAD CESAR VALLEJO | maquina de vectores de soporte, arboles de decisión y K-means |
Cristina Morales | University of Houston | Registration Machine Learning |
Cristina Stoica | Wilfrid Laurier University | functional data analysis, function alignment, fPCA |
Cristy Matan | University of Pittsburgh | Pib, PET, AV45, SUV |
Crush Yan | AliveX | AD study |
Crystal Liu | University | size of dataset |
Cui Menghan | Nanjing University Of Finance & Economics | Multiple Kernel Learning |
Cui wenju | Shanghai University | 135583Cwj |
Cui Wenju | shanghai university | 135583Cwj |
Cui Zhao | School of Biomedical Engineering, Capital Medical University | MVPN, brain network connectivity |
Cui Zhao | The Affiliated Hospital of Chengde Medical College | Alzheimer's disease |
cui zhehan | Shanxi University | time series |
Cui Zi xin | Yunnan university | feature screening |
cuicui wu | Qiqihar Medical College | rs-fMRI AD early diagnosis |
Cuiping Bao | Tianjin Union Medical Center | Brain imaging analysis, Alzheimer’s disease |
Cuiyi Peng | Tsinghua University | MR images reconstruction |
Cuiying Peng | The Second Xiangya Hospital, Central South University | Alzheimer's disease, Tau PET |
Cunhao Li | Fujian Normal University | deep learning,Alzheimer’s disease |
Curtis Ashford | MemTrax LLC | memory, cognitive test |
Curtis Triebswetter | University of California, San Diego | tau-PET, Alzheimer's, cognition |
cx wu | Southern Medical University | multi-modal data |
cy li | Hohai University | correlation |
Cynthia Cohen | California Southern University | Alzheimers |
Cynthia Forgeron | St. Francis Xavier University | Dementia, Alzheimers, machine, learning |
Cynthia Okenyi | Northumbria University | Transfer Learning |
Cynthia Picard | Douglas Mental Health University Institute | Genetics |
Cynthia Sandor | University of Cardiff | disease tracjectory |
Cynthia Yue | Tongji University | research |
Cynthia Yue | Tongji University | ask for permission |
Cyril Pottier | VIB | FTD, ADSP, Alzheimer's disease, Frontotemporal dementia, whole genome sequencing |
Cyril Pottier | Mayo Clinic Florida | young onset Alzheimer's disease, frontotemporal lobar degeneration |
Cyril R | Seasense Software's | Alzheimer's disease |
Cyrus Ayubcha | University of Pennsylvania | Machine Learning |
D Han | Harbin Engineering University | ADNI,Brain Imaging Genetics,Deep Learning |
d pr | 哈尔滨工程大学 | GWAS |
D PRASAD | ST.MARTINS ENGINEERING COLLEGE | AD |
D PRASAD | ST.MARTINS ENGINEERING COLLEGE | Alzheimers Disease |
D SAMUEL JOSHUA VISWAS | KARUNYA INSTITUTE OF TECHNOLOGY AND SCIENCES | Neural Network, Alzheimer's Disease Prediction, Machine Learning, DNN |
D Smits | Tilburg University | Alzheimer, machine learning, Data Science, Deep Learning, physical/mental health |
D Srinath | VIT | Cognitive |
d yw | aixuankeji | dyw20081000 |
d1 qv0 | bupt | deeplearning |
Da Li | University of Calgary | Machine learning, GWAS |
da ling | nbs | machine learning |
Da Liu | Sun Yat-sen University | normal control T1-weighted images |
Da Ma | Wake Forest University School of Medicine | MRI, Genomics |
Dabao Zhang | Purdue University | Biomarkers, Early Prediction of AD |
Dace Apsvalka | Medical Reseach Council | Hippocampus |
DAE HYUN KIM | VHS medical center seoul | brain atrophy |
Daegal Prayoga | Electronic Engineering Polytechnic Institute of Surabaya | Alzheimer’s disease, Deep Learning, Classification, Convolutional Neural Network |
Daehyun Kang | ChungAngUniversity | health care ,vessel, MRI, CT, Covid |
Daewoo Pak | Yonsei University/Mirae Campus | variable selection, dementia study, oracle property, genomics |
Daewoon Kim | Seoul National University | Deep Learning |
Daffa Damadhika | None | Alzheimer's Diagnosis Using Machine Learning Approach |
Dahao Zhao | West China Hospital Of Sichuan University | mri-based machine learning prediction framework to lateralized hippocampal scler |
Dai AX | University Of Shantou | predictive nomogram of AD |
Dai Rongjie | Shanghai Normal University | dissertation,vgg-16 |
Dai Wang | Johnson & Johnson | fMRI, PET |
Dai Zhongyang | Shenzhen Institutes of Advanced Technology | sMRI |
Daiaa elsayed | Mansoura university | Machine learning mri scans |
Daichi Sone Daichi Sone | Jikei University School of Medicine | Alzheimer's disease, MCI, brain age, machine learning |
Daidai Zhang | University of California, Daivs | Alzheimer's disease, brain image, fMRI, diagnosis, |
Daijiro Kabata | Osaka-city university | statistical analysis, high dimensional data, treatment effect |
Daiki Endo | Tohoku University | Convolutional Neural Network, Computer aided diagnosis |
Daiki Ina | Harvard University | AD, Deep Learning, CNN, MRI |
Daiyuan Liu | Huazhong Agricultural university | brain resistance/resilience |
Dake Yang | WuXi Diagnostics | AD, Statistics, Diagnostic, Image processing, screening |
Dale Dagenbach | Wake Forest University | functional connectivity, hubs, AD |
Dalia Elmansy | Case Western Reserve University | Alzheimer’s Disease, Deep Learning, Omics data integration, AD staging |
Dalila Megherbi | UMASS Lowell | MCI, AD, Bioinformatics, DL/ML, data mining |
Dallas Turley | Philips | covid, DTI, fmri |
daman kaur | ulster university | Alzheimer's disease |
Damian Polak | Polish-Japanese Academy of Information Technology | alzheimer disease, CNN, convolutional neural networks, image classification, MRI |
Damiano Archetti | IRCCS Centro San Giovanni di Dio-Fatebenefratelli | computational models |
Damiano Ferrari | University of Brescia | brain, segmentation, DL, AI, alzheimer |
Damiano Gasperini | Sapienza University | Alzheimer's Disease Detection, Pre-processing, Convolutional Neural Networks |
Damien Fair | The University of Minnesota | MRI, QC, segmentation |
Damon Lamb | University of Florida | Education, Teaching |
Dan Amir | The Hebrew University of Jerusalem | rest-state fMRI, functional tradeoffs, functional connectivity |
Dan Johnstone | University of Sydney | pulse pressure, cardiovascular, predictive, early biomarker |
Dan Li | University of Birmingham | fMRI, graph neural network |
Dan Li | university of technology, sydney | fmri, brain networks |
Dan Liu | German Centre for Neurodegenerative Diseases (DZNE) | Hippocampal volume; methylation |
Dan Liu | Rutgers University | Statistical learning, Bayesian deep learning |
Dan McCalley | Medical University of South Carolina | Alcohol Use Disorder, TMS, white matter integrity, gray matter volume |
Dan Mungas | UC Davis | biomarkers, statistical methods, causal inference, cognitive aging |
Dan Pan | Guangdong Construction Polytechnic | early diagnosis, neuroimaging, multi-modal data analysis, deep learning |
Dan Ruan | Xiamen Branch, Zhongshan Hospital, Fudan University | AD; MCI-to-AD; prediction models; PET |
Dan Wang | Cardinal Tien Hospital | Alzheimer’s disease |
Dan Wang | The Sixth Affiliated People’s Hospital, Shanghai Jiao Tong University | MR imaging analysis |
Dan Wang | TU Delft | genome-wide association studies; SNP-set; Bayesian variable selection |
Dan Yan | Karolinska Institutet | Alzheimer's disease, predictive models, machine learning |
Dan Yang | Nanjing Drum Tower Hospital | Alzheimer's disease; functional connectivity; structural connectivity |
Dan Yuan | Beijing Jiaotong University | sMRI; multi classification model; |
Dan Zhang | Stony brook university | deep learning |
Dan Zhu | Airport Hospital of Tianjin Medical University General Hospital | GWAS neuroimage genetics |
Dana Broberg | Western University | diffusion weighted images, tractography, testing |
Dana Fraser | GlaxoSmithKline | Alzheimer Disease progression CSF |
Dana Kristine Sison | Batangas State University | Alzheimer |
Dana Moukheiber | University at Buffalo | Image Segmentation, Deep Learning, Vascular Dementia,Stroke,Alzhemeir's Disease |
Dana Parker | UC Irvine | DTI, MRI, Tensor |
Dana Willner | William and Mary | teaching |
Danai Chasioti | IUPUI | polygenic, alzheimer's |
Danai Efthymiopoulou | University of Patras, Greece | MRI, dementia, classification, CNN |
Danai Georgia Sakelliadou | Boston University | Deep learning, AI, training/test datasets, dementia risk detection |
DANDAN SU | wuhan university | GDF1; Alzheimer diease; biological samples |
Dandan Yuan | Xiamen University Tan Kah Kee College | Early diagnosis of Alzheimer's disease based on neural network |
Dandy Satrio Wibowo | University of Jember | Alzheimer, Classification, Convolutional Neural Netwok |
Dane Lin | no | Diagnosis of dementia |
dang chun | west china of hospital | Alzheimer’s disease; biomarker; neuroimaging modality; diagnosis |
Dang Tan Khoa Truong | University of Texas at Arlington | CSF, CDR Sum of Boxes, Alzheimer's Disease. |
DANH bui | hufi | DNN |
danhua wang | Kangda College of Nanjing Medical University | mental health, dietary habits, exercise, risk factors |
Danial Kazemi | Isfahan University of Medical Sciences | Alzheimer's disease |
Danial Kazemi | Isfahan University of Medical Sciences | ADSP |
Danial Nejadmasoom | Islamic Azad University of Chalus | #alzhimers test |
Daniel Agostinho | Universidade de Coimbra | AD, Machine Learning |
daniel ajetunmobi | landmark university | machine learning |
Daniel Alejandro Gonzalez Salamanca | Universidad Nacional de Colombia | computational machine |
Daniel Andreani | UBA | AD |
Daniel Andrews | McGill University | MRI, cognition, demographics, Alzheimer's, MCI, prognosis, mixed effect model |
Daniel Antonio EscobarGarcía | Guadalajara University | graph neural networks |
Daniel Baer | Medical University of South Carolina | Statistical model, Alzheimer's disease, longitudinal data, covariate selection |
Daniel Bandala | Universidad Nacional Autónoma de México | Neural netowkrs, DTI, Transformers |
Daniel Barry | Ulster University | Machine Learning, algorithm, classification |
Daniel Bor | University Of Cambridge | information theory |
DANIEL CAPON | BLOOD SYSTEMS RESEARCH INSTITUTE | protein engineering, antibodies, amyloid beta, biomarker |
Daniel Chalupa | Brno University of Technology | Pharmacokinetic Modeling, Multiple Classifier Systems |
Daniel Cox | University of Manchester | Structural MRI, surface morphology, pattern classification |
Daniel Cuneo | CIND / VAARC | ADNI1 |
Daniel Cutter | University of Birmingham | CNN, conv net, convolutional neural network |
Daniel Dixon | University of Southern California | Alzheimers |
Daniel Dóniz García | Universidad de La Laguna | lstm |
Daniel Drake | University of Michigan | biomarkers biostatistics progression |
daniel duenias | ben gurion university | medical computer vision, deep learning, multi modality |
Daniel Felsky | Centre for Addiction and Mental Health | microglia, polygenic risk, imaging, environmental modifiers |
Daniel García Núñez | Universidad Nacional Autónoma de México | Alzheimer's disease, assist in diagnosis, computer vision |
Daniel German Martinez Munoz | Universidad Nacional de Colombia | Support Vector Machine , ADNI , PCA |
Daniel Glen | NIMH | template AFNI FMRI |
Daniel Gourdeau | Université Laval | Radiomics,AD prognosis, machine-learning, texture analysis |
Daniel Guetta | Columbia Business School | teaching random forests |
Daniel Hernández | Universidad Alicante | ALS dataset neuroimaging |
Daniel Hier | Missouri University of Science and Technology | kinetics, Alzheimer disease, biomarkers |
Daniel Holder | Merck Research Laboratories | Biomarkers |
Daniel Jarquin | Universidad Autónoma de Ciudad Juárez | Deep learning, image reconstruction |
Daniel Karlin | Pfizer, Inc. | Data, Transmart |
Daniel Kessler | University of Michigan | Statistics, Machine Learning, DWI |
Daniel Kozo | Saladax Biomedical | Tau AB42 |
Daniel Kramer | Commack High School | Alzheimer's Disease, biomarkers, diabetes |
Daniel Levitas | Indiana University | ezBIDS, open science, BIDS |
Daniel Li | Columbia University | Deep learning |
Daniel Llano | University of Illinois | FDG PET, Alzheimer, MCI, progression |
Daniel Lukies | Monash University | t1-MRI, FDG-PET |
Daniel Marcus | Washington University School of Medicine | segmentation, automation |
Daniel McMahon | Stony Brook University | MRI |
Daniel Mensing | Fraunhofer Mevis | deep learning, GAN, generative modelling |
Daniel Mikol | Nervgen | NVG-291, FDG-PET, fMRI, ASL perfusion |
Daniel Mueller | University of Toronto | machine learning, depression, cognitive subtypes |
Daniel Myall | New Zealand Brain Research Institute | PD, AD, MCI, MRI |
Daniel Nation | University of Southern California | blood pressure; cerebral blood flow |
Daniel Oppermann Peixoto | Universidade Federal do Rio Grande do Sul | Tau, NFTs, Alzheimer, PET, diversity |
Daniel Ramsing Lund | Aalborg University | MRI, TBI, Deep Learning, Student project, AD, Segmentation, Whole-brain |
Daniel Robayo | Universidad de los Andes | Alzheimer MRI |
Daniel Rozputynski | University of Alcalá | Tesis, Work, Alzheimer, Dementia |
Daniel Saucier | Université de Moncton | Intra-individual variability, depression, correlates, frailty, microbleeds |
Daniel Schulz | N/A | Variational AutoEncoder For Regression: Application to Brain Aging Analysis |
Daniel Schwartz | OHSU - Layton Aging and Alzheimer's Disease Center | perivascular spaces amyloid PET |
Daniel Scott | Edinburgh University | Causal Inference, Machine Learning |
Daniel Sierra | University of Zaragoza | Machine Learning, Early diagnosis tools, Data analysis |
Daniel Sierra | University of Zaragoza | Machine Learning, Early diagnosis tools, Data analysis |
Daniel Spencer | UC Santa Cruz | Bayesian, tensor decomposition |
Daniel Stamate | Goldsmiths, University of London | predicting risk of dementia, machine learning, data analysis |
Daniel Stiven Zambrano Acosta | Pontificia universidad javeriana | MRI, EMCU, Image processing, deep learning, neuroimaging, detection |
Daniel Talmasov | Columbia University | asymmetry, tau, amyloid, neuropsychiatric, hemispheric |
Daniel Tancredi | University of California, Davis | statistics, methods |
Daniel Tward | Johns Hopkins University | computational anatomy, shape analysis, neuroinformatics |
Dániel Unyi | Budapest University of Technology and Economics | graph neural network, classification, deep learning |
Daniel Vaz | Columbia University | Neural Network, Training, Alzheimer's Diagnosis, Multimodal, Columbia University |
Daniel Wilde | University of Hull | Alzheimer's Classification Dementia Machine Learning Deep Learning |
Daniel Wilde | FrenzyML | Deep Learning |
Daniel Wong | UCSF | whole genome sequencing, deep learning, unbiased discovery, prognosis, clinical |
Daniela F | Universitat Oberta de Catalunya | BSI, Brainage, atrophy |
Daniela Fusco | Università di Torino | PhD, Machine Learning |
Daniela Meléndez | Pontificia Universidad Javeriana Cali | Alzheimer's, predict, imaging. |
Daniela Perani | Vita-Salute San Raffaele University | Brain reserve, Education, Gender, FDG-PET, Amyloid-PET |
Daniela Petrea | UAIC | ADNI-bachelor research |
Daniela Petrea | UAIC | ADNI-bachelor research |
Daniela Petrea | UAIC | ADNI-bachelor research |
Daniela Ruiz | Universidad de los Andes | Machine learning, 3d visual reconstruction, high resolution, GANS, NeRF. |
Daniela Terra | UFOP | Deep Learning, Alzheimer, Hippocampo |
Daniela UBERTI | University of Brescia | Alzheimer's disease, antioxidant enzymes, nitrated-p53 isoform, early diagnosis |
Daniele Altomare | University of Geneva | biomarkers, Alzheimer, neuroimaging |
Daniele Ghezzi | Fondazione IRCCS Istituto Neurologico Carlo Besta | mitochondrial proteases |
Daniele Perlo | Luxembourg Institute of Health | MRI, PET, AI |
Daniele Urso | King's College London | PET; MRI; CSF |
Daniella Jones | University of Surrey | Alzheimer's, MMSE, MR Imaging, PET Imaging, ADAS Assessment |
Daniella Vellone | University of Calgary | alzheimers, apathy, dementia, mild cognitive impairment |
Danielle Briggs | Brigham and Women's Hospital | ADNI 3, LONI, coordinator |
Danielle Farrar | University of New Mexico | fMRI, MCI, executive function, dementia |
Danielle Frances | Belmont University | FTD, Biomarker, Neuroimaging, fillaments |
Danielle Frances | Belmont University | FTD, neurofillaments, biomarkers |
Danielle Harvey | Unversity of California, Davis | biostatistics |
Danielle Rodriguez | Evidera | ADCOMS, Alzheimer's |
Danielle Romanoff | RNI at WVU | Aging, Dementia, Alzheimers, Louie Body, PET, MRI, CT, Scan |
Danielle Sanchez | University of California, Riverside | cerebral blood flow, perfusion, tau, alzheimer's disease |
Danielle Silvera | BIT | Alzheimers |
Danilo Weber Nunes | OTH Regensburg | review, self-supervised learning, deep learning |
Daning Wang | Alzheimer's Disease, AI, Machine Learning, Research | |
DANISH BHAT | Northeastern University | Alzhemiers |
Danish Khan | Pune Institute of Computer Technology | early onset, Alzheimer's disease, CNN, transfer learning model |
Daniya Najiha | MBZUAI | 1234 |
Daniyal Irfan | university of Management and Technology | AI |
Danmei Wang | Chengde Medical University | MRI AD |
Danni Chen | UCLA | deep learning, medical imaging, explainable AI, attention model |
Danni Li | University of Queensland | AD; Brain Network Classification; GCNs; phenotypics |
Danni Li | University of Minnesota | CSF, synapse, neuroimaging, neurodegeneration, |
danni qian | qingdao university | SNAP-25 Neuroinflammation Alzheimer’s Disease |
Danni Wang | Shanghai Jiaotong University | White matter; Multimodal imaging; Regional vulnerability |
Danny Wu | University of Cincinnati | Biostatistics, sleep, machine learning |
Danqing Xiao | Regis College | Alzheimer |
DANQING XIAO | Regis College | Alzheimer |
Dante Mantini | KU Leuven | functional connectivity |
Dantong Li | Guangdong Provincial People’s Hospital | Mild cognitive impairment(MCI) |
Danush Gopinath | SSN College of Engineering | MRI, fMRI, PET, Alzheimer, Parkinson |
Dany Varghese | University of Surrey | Alzheimer's |
Danyang Liu | Tulane University School of Medicine | Drug Repurposing |
Danyang Wang | The University of Sheffield | DTI, MRI synthesis |
danyang Yao | Guangzhou university | ANDI |
Danyang Yue | East China University of Science and Technology | MRI deep learning |
Danyeong Kim | Gachon university | Genetic |
DAOYAN HU | zhejiang university | Multimodal imaging,AD diseases |
Daphne Pol | Erasmus Universiteit Rotterdam | Neuropsychiatric symptoms, alzheimers disease, AD, NPS |
Daphne Tinbergen | University of Bristol | Biomarkers, Genomic data, Multimodality, Diagnosis, Machine Learning |
dara alavi | ucl | Diabetes |
Dardo Tomasi | NIH | FDG, resting-state, aging |
Daren Ma | UCSF | Alzheimer's Disease, Deep Learning, MRI, Tau protein |
Dario Bachmann | University of Zurich | amyloid PET, tau PET, longitudinal analysis |
darlene vairre | UC Berkeley | hypometabolism atrophy alzheimer's |
darnisa azzahra | Universitas UPN Jakarta | Alzheimer's image dataset |
Darren Buono | Star Radiology | DTI, mTBI |
Darryl Ramgoolam | University of Connecticut | Alzheimer disease |
Darshith Manjunath | Arizona State University | Alzheimer |
Darui Zheng | 南京脑科医院 | fMRI MCI |
Dat Le | Da Nang University Of Science and Technology | Alzheimer's Disease Detection |
Dattaprasad Torse | KLS Gogte Institute of Technology, Belagavi | Alzheimer’s disease, Mild cognitive impairment, Deep Learning |
Dave Evenden | Southampton Universiry | Dementia, Disease Modelling, Healthcare Planning |
Dave Frankowski | NIH | ADRD, biomarker, neuropathology, cognition, aging |
Dave Kamson | JHU/NIH | Chemobrain |
David Airey | Eli Lilly and Company | NfL hippocampus biomarker |
David Alvarez | Asturias Central Hospital | segmentation, hippocampus, deep learning, alzheimer |
David Baskin | Wake Forest School of Medicine | network analysis |
David Bell | University of Washington | Genentech 404 challenge |
David Benrimoh | McGill University | Psychosis, schizophrenia, structural networks |
David Berron | Lund University | MTL, hippocampus, structure, preclinical AD, amyloid PET |
David Berron | Lund University | MTL, atrophy, Abeta |
David Bham | MTC | Deep learning, AI |
David Biondi | Seelos Therapeutics Inc (consultant) | Alzheimer's Disease, fluid and imaging biomarkers, clinical measures |
david blank | The Ohio State University | Data Augmentation |
David Borensztajn | University of Amsterdam | Machine learning, MRI, CNN, Brain disease |
David Calhas | Instituto Superior Técnico, Universidade de Lisboa | EEG, fMRI, Diagnosis, Machine learning |
David Cash | University College London | familial Alzheimer's disease, volumetric MRI, cerebral atrophy |
David Catanho | o8t | DICOM MRI T1 |
David Clark | Indiana University | Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency |
David Clayton | Genentech | image processing, Alzheimer's disease, MRI |
David Clunie | PixelMed Publishing and RadPharm, Inc | DICOM compression |
David Collier | Eli Lilly and Company Ltd | Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s |
David Curtis | UCL | sequence variant DNA |
David Cutler | Harvard University | Alzheimer's Diagnosis |
David Dufresne | Université de Sherbrooke | Education |
David Enrique Payares Garcia | University of Munster | spatial statistic, MRI, hierarchical models |
David Esteban Nope | UNIVERSIDAD DISTRITL FRANCISCO JOSE DE CALDAS | Computational intelligence |
David Fardo | University of Kentucky | Pathway-wide association, AD |
David Garcia-Parejo | Sunderland University | Alzheimer |
David Greenstein | Multimodal Imaging Services Corporation | Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's |
DAVID Guardamino Ojeda | IETSI | AD, MACHINE LEARNING |
david haynor | university of washington | MRI, imaging, correlation, prediction |
David Hettich | University of North Dakota | Medication CNN Neural Networks |
David Hsu | National Taiwan University | Retinal Imaging, Alzheimer Disease |
David Inman | GSK | Trial Design; Disease Progression Models; Prognostic Covariate Modelling |
David Izquierdo | Massachusetts General Hospital | Deep Learning, Tau deposition, Transfer learning, AD |
David Johnson | UC Davis | Cognitive Impairment, longitudinal decline, Neuropsychology |
David Jones | Mayo | fMRI |
David Kersting | University Hospital Essen, University of Duisburg-Essen | Automatic Reporting, FDG, Amyloid, PET, Deep Learningg |
David Kim | Soongsil University | AD, Machine Learning |
David Knowles | New York Genome Center | genetics; machine learning |
David Kügler | German Center for Neurodegenerative Diseases | machine learning |
David Lee | Boston University | Machine Learning, Generative Adversarial Network, Image-to-Image Translation |
David Libon | Rowan University | MCI, cognitive factors, fluid biomarkers, radiology |
David Lim | GlaxoSmithKline | Alzheimers, neurodegeneration |
David Lüdke | Chalmers University of Technology | Causal Structure Discovery |
David Madigan | Columbia University | Structural equation models, dementia |
David Maseda | Independent | alzeheimer's,Neurodegenerative,Genetic,algorithm,deep learning, diagnose |
David Mattie | Saint Francis Xavier University | DTI Diffusion Biomarkers Computational Neuroscience |
David Meehan | Avid Radiopharmaceuticals | AV-1451 |
David Moratal | Center for Biomaterials and Tissue Engineering | voxel-based morphometry, volumetry, image analysis |
David Nguyen | UC Berkeley | Alzheimer's Disease, Machine Learning |
David Park | Columbia University | alzheimer AND imaging genetics AND deep learning |
David Powell | University of Kentucky | ADNI4 test site |
David Raunig | Takeda | multiparametric, quantitative imaging biomarker |
David Ress | Baylor College of Medicine | fMRI, hemodynamics, blood flow |
David Ross | VA Institute of Neuropsychiatry | TBI, MRI brain volume |
David Salzman | Gatehouse Bio | Small RNA, Neuropathology, Machine Learning, Biomarker |
David Sarfati | Center for Addictions and Mental Health | alzheimer's disease, subjective cognition, objective cognition |
David Scarisbrick | West Virginia University School of Medicine | Cortical Morphology, Alzheimer's Disease, AD, Cognition, MCI, |
David Scott | Bioclinica | mri pet |
David Šilhán | Third Faculty of Medicine-Charles University in Prague | MRI, early-onset AD, late-onset AD, frontotemporal dementia, PAS |
David Silva | University at Buffalo | image registration |
David Stephens | McGill University | Deep neural network, classification, confidence |
David Thomas | UCL | Nfl neurodegeneration |
David Vaillancourt | University of Florida | diffusion |
David Vállez García | University Medical Center Groningen | PET Methodology, |
David Vállez García | Amsterdam UMC - Location VUMC | AD; SSMPCA; Eigen |
David Verbel | Eisai Medical Research | Natural history |
David Warren | University of Nebraska Medical Center | RSFC, TMS, NBS, NIBS, functional brain networks |
David Watson | University College London | Causality; mediation; deep learning; convolutional neural networks |
david woof | King's College London | ML |
David Yen | EPA | GAN |
David Zhu | Michigan State University | MRI, PET, AD, TBI |
David Zimmerer | German Cancer Research Center (DKFZ) | Unsupervised anomaly detection |
davide aloi | university of birmingham | alzheimer, deep learning |
Davide Bruno | Liverpool John Moores University | memory; cognition; digital biomarkers |
Davide Cipollini | University of Groningen | AI, neuroimaging, Generative approach, data augmentation |
davide poggiali | university of padova | MS, HC |
Davide Sbroggio' | EPFL | Neural network |
Davide Viggiano | Univ. Molise | eGFR, cognitive impairment, CKD, MRI |
Davis Woodworth | University of California, Irvine | Hippocampal sclerosis, subiculum, CA1, |
Davod Dadravan | Tabriz univercity | Rest state fmri |
davood khezerloo | Tabriz University of medical sciences | MS , Alzheimer, Parkinson , hippocampus |
dawei wang | sfl scientific | AD Progressing |
Dawg Welder | Welding Co | study work, homework |
Dawn Matthews | ADM Diagnostics LLC | machine learning, differentiation, prediction, MRI, PET |
dawoon heo | Korea Univ. | deep learning |
Dayanna Baque | Yachay Tech University | Datascience, Alzheimer, bioimaging |
Daylin Gongora | CNEURO | structural MRI, Parkinson |
Dayoung Kim | Kyoto University | APP |
Dazhi Li | University of Science and Technology of China | comparative analysis |
ddd ygku | . | . |
De Xie | Xiang’an Hospital of Xiamen University | Alzheimer's disease; Uric acid; Aβ42; Microglia |
Dean Palejev | Bulgarian Academy of Sciences | Machine Learning, Classification |
Dean Shibata | University of Washington | voxel based morphometry, VBM |
Deana Davalos | Colorado State University | TBI, biomarkers, dementia, pathological aging |
Deanti Andew | Jiamusi University | MCI classification algorithm |
Dear Jry | 上海大学 | no |
Debadyuti Mukherjee | CMATER, Jadavpur University | Generative Adversial Network, Image Segmentation, MRI, PET, Research work |
Debaleena Nawn | TATA MEDICAL CENTRE | Glioblastoma, MRI, skull stripping |
Debangshu Banik | Digital University of Kerala | Parcellation |
Debanjali Bhattacharya | International Institute of Information Technology Bangalore | Texture, shape, volume |
Debapriya Sengupta | Indian Institute of Engineering Science and Technology | Medical Image Registration |
Debarpan Das | University of Alberta | Registration |
DEBASISH PADHY | PARALA MAHARAJA ENGINNERING COLLAGE | metabolomics |
Debby Nguyen | Northeastern University | machine learning, data analysis, data science |
Debjyoti Ghosh | VISVA BHARATI UNIVERSITY | Alzheimer, Disease, MRI |
Debjyoti Ghosh | Visva-Bharati University | Alzheimer |
DEBKUMAR CHOWDHURY | UEM KOLKATA INDIA | BRAIN DISORDER DETECTION |
Debo Dong | Southwest University (SWU) | Hallucinations; Delusions; Alzheimer’s disease; amyloid β; rsFC |
Debodeep Kar | new york institute of technology | ADNI |
Debojit Banerjee | Jadavpur University | MCI, Research, AD |
Debojyoti Dey | Personal | ML based explorations |
DEBOPRIYA GHOSH | LIVERPOOL JOHN MOORES UNIVERSITY | Alzheimer’s Disease |
Débora Guerini Souza | Universidade Federal do Rio Grande do Sul | Inflammation, Neuroimaging, Alzheimer's Disease |
Deborah Alawode | University College London (UCL) | Biomarkers |
Deborah Oliva | Università degli studi di Padova | Functional connectivity |
deborah pareto | Vall d'Hebron University Hospital | MRI myelin integrity |
Deborah Pareto | Vall Hebron University Hospital | brain connectivity, graph analysis |
DEBRAJ BARMAN | NATIONAL INSTITUTE OF TECHNOLOGY, SILCHAR | Final Year Project, ALZHEIMER'S DISEASE, MRI , FMRI |
Deeksha Manjunath | Georgia Institute of Technology | Alzheimer’s disease, convolutional neural networks |
Deeksha Moodasarige Shama | johns hopkins university | Deep learning, image synthesis, MRI registration |
Deenadayalan T | VIT Vellore | Alzheimer |
Deep Patel | college | cognitive machine learning - applications to health, smart cities book |
Deepa G | GITAM university | Alzheimer's Disease, |
DEEPA N | Saveetha School of Engineering | Alzheimer Disease |
Deepak Gambhir | Galgotia College of Engineering and Technology | Alzheimer disease AD; Machine Learning Models |
Deepak Narang | Bharati Vidyapeeth's College of Engineering,New Delhi | "3D brain image analysis" "Alzheimer disease identification " "3D CNN" |
Deepak Rao Khadatkar | Shri Shankaracharya Institute of professional management and technology | PET, Alzheimer, Deep learning |
Deepak Sharma | INMAS | Tutorial |
Deepali J | Thakur College of Engineering & Technology | machine Learning, Data Science |
Deepam Gautam | philips | research and investigation |
Deepam Gautam | philips | Brain MRI AI |
Deepamoni Mahanta | TU | image classification |
Deepayan Sanyal | Nikola Tesla STEM High School | Machine Learning, High School, Insights, Neuroimaging |
deepeesh vijayan | sathyabama institute of science and technology, chennai, india | thesis purpose |
Deepesh Garg | Manipal Institute of Technology | Early detection, Alzheimer’s disease, Dementia, Artificial Intelligence |
Deepika Bansal | The NorthCap University Gurugram | Machine Learning, Deep Learning, MRI Image |
Deepika Bansal | MAIT, Rohini, Delhi | AD, Deep Learning |
Deepika Garg | Manipal University (Jaipur, Rajasthan) | Research |
Deepika` B | Manukau Institute of Technology | analysis |
Deepshikha Satish | ICGEB New Delhi | Ai models development for Alzheimer's prediction |
Deepthi Kamath | Dayananda Sagar Academy of technology and management | Alzheimer's disease , Inception v3 , CNN |
Deepthi Oommen | SRM Institute of Science and Technology | Alzheimer's Disease |
Deepti Murthy | Carnegie Mellon University | CNN |
Deevyankar agarwal | Higher College Of Technology | MRI,Alzhimer DIsease,MCI |
Defu Yang | University of North Carolina at Chapel Hill | brain network analysis, Alzeheimer's dementia |
Degen Zhuo | Biotailor Inc | hereditary fusion genes |
Degui Zhi | University of Texas Health Science Center at Houston | Deep learning |
Dehan Kong | University of Toronto | Neuroimaging Data Analysis |
Deirdre O'Shea | Brown University | cognitive decline, biomarkers, rate of change |
Delfina Braggio | Pladema | hippocampus, shape, volume, deformation |
Deli Wang | AbbVie Inc. | MCI, Alzheimer's disease, disease progression |
Delia María Paz Bonilla | Universidad Complutense de Madrid | data science / alzheimer / research |
Delphine Fagegaltier | Merck & Co | Therapeutic targets, biomarkers |
Delphine Puttaert | Hôpital Erasme | SPM, Alzheimer |
Delshad Vaghari | University of Cambridge | Alzheimer Disease, MCI, Machine Learning, Bio-markers |
Demetrius Ribeiro de Paula | brainet | ROI, T! |
Demetrius Ribeiro de Paula | brainet | ROI, T! |
Deming Jiang | Xuanwu Hospital, Capital Medical University | Glymphatic, function connection, dementia |
deng jing | The Affiliated Hospital of North Sichuan Medical College | Alzheimer's disease,prediction model |
deng junhang | School of Mathematics and Statistics, Central South University | djh20001127 |
Deng Luo | Peking University | MRI, Medical, Artificial Intelligence |
Deng-Feng Zhang | Kunming Institute of Zoology, Chinese Academy of Sciences | Alzheimer's disease, cytokine |
Dengdeng Yu | University of Toronto | Alzheimer's Disease, brain imaging, hippocampus, longitudinal analysis |
Dengpan Wu | Xuzhou Medical University | alzheimer |
Dengqiang Jia | Shanghai Jiao Tong University | medical image |
Denice Groen | University of Amsterdam | Alzheimer, early detection, explainability |
Dening Peng | Arizona State University | Deep learning |
Dening Peng | Shanghai Gaorong Science and Technology Inc. Ltd. | data analysis and model development |
Denis Smirnov | UC San Diego | CSF, Biomarkers, Cognition, Longitudinal |
Denis Smirnov | SPBSU | brain, ml, alzheimer |
Denis Tarasov | Jacobs University Bremen | Machine Learning |
Denis Tulinov | TrendLab | Alzheimer’s disease, machine learning, deep learning, MRI, fMRI |
Denise Dewald | University Hospitals Cleveland Medical Center | sleep apnea, soft palate, tongue position |
Denise Goedhart | Paramedische hogeschool | MRI and MS |
Denise Head | Washington University | hippocampus caudate spatial navigation |
Denish Thesingarajah | University of Warwick | Statistical Analysis, Bayesian, Spatial, Model Selection, Compartmental Models |
deniz ayvaz | boğaziçi university | lstm, irregular time series |
Deniz Mert Tekin | University of Kocaeli | signal and image processing technology |
Deniz Yilmaz | InspiritAI | Neuroscience, Artificial Intelligence, Healthcare |
Deniz Yurtsever | LUMC | 0 |
Dennis Badugu | Ulster University | Machine Learning |
Dennis Eickhorn | NeueFische GmbH | Machine Learning, Data Science Bootcamp |
Dennis Hedderich | Technical University of Munich | Magnetic resonance imaging, cortical thickness, positron emission tomography |
Dennis Shen | Massachusetts Institute of Technology | Alzheimer's, cognitive impairments, healthy control |
Dennis van der Meer | Maastricht University | mediation analysis, GWAS, age of onset, imaging genetics. |
Denys Radchenko | Kyiv Polytechnic Institute | Alzheimer |
Deqiang Qiu | Emory University | T1, rsfMRI |
Derek Archer | Vanderbilt University Medical Center | white matter, diffusion MRI |
Derek Beaton | Baycrest | partial least squares, multivariate, genetics |
Derek Berger | St. Francis Xavier University | brain-extraction, skull-stripping, CNN, U-Net |
derek cui | PUMC | Hippocampus, thalamus, amygdala subregion |
Derek Drake | Harvard University | AD |
Derek Latremouille | University of Toronto | Neurological research, Gaussian Graphical Models, Inference, Biostatistics |
Derek Van Booven | University of Miami | testosterone, prostate, urology, Alzheimer's |
Derin Cobia | Brigham Young University | Thalamus, clinical phenotype, AD, neuropsychology |
Derrek Hibar | Genentech, Inc | imaging genetics, cognitive decline, robust statistics |
derrek tew | Cleveland Clinic | DLB |
Derya Sahin | University of Cologne | biomarker, machine learning |
Dessislava Petrova-Antonova | Sofia University | machine learning, artificial intelligence |
Destaw Bayabil | Zhejiang University | resting state fmri |
Devadharshini Sivadevan | Sri Sivasubramaniya Nadar College of Engineering, Anna University | Convolutional Neural Network; DenseNet; Image classification; Alzheimer's Diseas |
Devani Cordero | Massachusetts General Hospital | segmentation hippocampus |
Devanjali Relan | BML Munjal University | Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge |
Devansh Dubey | VIT VELLORE | database for use of others |
Devanshi Patel | Abbvie Inc | Alzheimer's |
Devarata Oza | Rutgers University | Computer Vision |
Devarshi Mukherji | Notre Dame Preparatory | Alzheimer's Disease |
Devashish Bharti | Converz Ltd | AI, brain, neurological disorder |
Devendra Kumar Dhayal | Manipal University Jaipur | Alzheimer's Disease |
Devika K | Amrita Viswa Vidyapeetham | cognitive Neuroscience, MRI Analysis, Neuroimaging, Connectivity Analysis |
Devin Setiawan | University of Kansas | Interpretable Machine Learning, Feature Importance Analysis, Feature Interaction |
Devon Overson | Duke University | DTI; DWI; hippocampus; Cortical curvature; Cortical depth; Cortical gray matter |
Devshya Patel | University of California Riverside | ADNI Research Data |
Dewen Meng | University of Nottingham | resting-state fMRI |
Dewi Rahmawati | ITS | Unet |
Dewinda Julianensi Rumala | Sepuluh Nopember Institute of Technology | brain disease classification, deep learning, convolutional neural networks |
Dexin Li | Shandong University | deep learning; AD detection |
Dexter Penn | University College London | Alzheimer's disease, financial capacity |
dexuan li | zhuoxilab.com | 3d visualization, software development |
Deydeep Kothapalli | University of Southern Calfornia | FDG-PET |
Deyu Meng | CCEE | deep learning |
dezheng Tian | Beijing Normal University | site-effect |
Dhanalakshmi B | Rapid tech solutions | LSTM |
Dhananjay Verma | IIT Hyderabad | Need dataset as soon as possible |
Dhanashri Joshi | Symbiosis Institute of Tenchology | Brain MRI |
Dhanya K Sudhish | Cochin University of Science and Technology | CBIR |
DHARESH VADALIA | National College of Ireland | Parkinson's Disease, MRI, Machine Learning |
Dharini Raghavan | Ramaiah Institute of Technology | MRI, PET, Image fusion, AD prediction and classification |
Dhaval Parmar | Indian Institute of Science | Land Marks, Reinforcement Learning |
Dhaval Raghwani | Indian Institute of Technology Madras | Alzheimer's Disease, Blood Biomarkers, ATN Framework |
Dheenadhayalan Ramadoss | Indian Institute of Information Technology, Kottayam | MRI Classification, Convolution Neural Network, Label Generation |
DHEEPAK GNANASEKARAN | SRM INSTITUTE OF SCIENCE AND TECHNOLOGY | ALZHEIMER DISEASE, BIO MARKER |
Dheeraj Komandur | LONI | Research |
dhimas bagus teguh pambudi | Informatics | Machine Learning. Alzheimer |
Dhirendra Yadav | GLA University Mathura | AIBL |
dhouha Guesmi | ISIM of SFAX | alzheimer's disease |
Dhrubajyoti Ghosh | Washington University in St Louis - St Louis, MO | Time Series, Frequency Domain |
Dhrubajyoti Ghosh | Duke University | Functional, Covariance |
Dhruman Goradia | Banner Health | Machine learning, deep learning and AI |
Dhruv Chovatiya | BITS | CNN |
Dhurgham yousif | diyala | AI |
Di Fan | USC | DTI |
DI HOU HOU | JILIN UNIVERSITY RESEARCH | BRAIN MRI T2 |
Di Kang | MIT | machine learning, prediction, biomarker |
di li | 上海理工大学 | alzheimer's disease |
Di Sheng | Beijing Institute of Technology | Attention Unet |
Di Wang | Qufu Normal University | Early diagnosis algorithm of AD |
Di Wang | Qufu Normal University | Early diagnosis algorithm of AD |
Di Wang | UT Health San Antonio | AD MRI deep learning network visulization |
Di Wu | Michigan State University | Genetic |
Di Wu | shanghaitech | PET |
DI XU | UCLA | reconstruction |
Di Zhao | Chinese Academy of Sciences | CDSS, AD |
Di Zhou | Shanghai East Hospital | Multimodal MR, Mild cognitive impairment, Alzheimer’s disease |
Dian Zhang | Beijing University of Chinese Medicine | Alzheimer's disease; radiomics models |
Diana Antyukhova | Universidad de Sevilla | BIOMEDICAL IMAGE |
Diana Evangelista | Ardsley High School | deep learning; neural networks; Alzheimer's; ROC; Python |
Diana Evangelista | Ardsley High School | deep learning; neural network; ROC; AUC; Adam; t-SNE; Alzheimers; |
Diana Giraldo | Universidad Nacional de Colombia | Morphometric Analysis |
Diana Hobbs | Washington University in St Louis | MR PET APOE4 BMI |
Diana Liu | Harvard University | Alzheimer's, audio, AD, biomarker |
Diana Mai | SJSU | Alzheimers Disease |
Diana Ortega Cruz | Universidad Politécnica de Madrid | MRI, Neuropathology |
Diana Poplacenel | Machine Learning at Berkeley | pet mri |
Diana Svaldi | Eli Lilly and Company | Tau PET, tau quantification |
Diana Townsend | MGH | amyloid tau |
Dianb Liu | Mila, quebec , Canada | alzheimer's disease, federated machine learning |
Diane Chan | Massachusetts General Hospital | Neuromodulation, gamma oscillations, systems neuroscience |
Diane Jacobs | UC San Diego | MCI, Cognitive Composite, Rate of Change |
Diane Zheng | University of Miami | amyloid, preclinical Alzheimer’s Disease, Mild Cognitive Impairment |
Dianqi Liu | Xi'an Jiaotong University | abnormal detection |
dianxia xing | Chongqing University Three Gorges Hospital | validation clinical model; |
Dibakar Dey | TCS | AI |
Dickson Minang | SJSU | Dementia |
Didac Vidal-Pineiro | University of Oslo | Cortical thinning, cognitively healthy, gene expression profiles |
didi zhang | Soochow University | AD,MRI,FDG-PET |
Diedre Carmo | Faculty of Electrical and Computer Engineering - UNICAMP | Deep Learning, Hippocampus Segmentation |
Diego Ambrosio | S/A | Research |
Diego Cango | Universidad de las fuerzas Armadas ESPE | training, artificial intelligence |
diego deigo | National Chiao-Tung University | Causal Discovery |
Diego Garrido | Centre for Genomic Regulation | multivariate regression, GWAS, QTL mapping, Alzheimer's disease |
Diego Hugo Hamilton López | University of La Laguna | Bachelor Thesis,Artificial Intelligence |
Diego Lozano | Neuroelectrics | Neural mass models, structural connectivity, functional connectivity |
Diego Lozano Godos | Universidad Nacional de Trujillo | Survival Models |
Diego Lujan Villarreal | Monterrey University of Technology (ITESM) | Deep learning, Alzheimer diagnosis, Neural networks |
diego maximiliano gonzalez vivanco | UNAM | Machine learning and artificial intelligence |
Diego Saldana | Roche | deep learning,machine learning |
Diego Sosa | Universidad de Sevilla | Alzheimer, resonancia magnética funcional, fMRI |
Diego Szczupak | university of pittsburgh | corpus callosum tractography |
Diem HO | University of Tours | graph comparison, brain connectome |
Difei Li | Georgia Institute of Technology | Alzheimer Prediction |
difeng huang | bioX Industrial Institute | ai |
DIGAMBAR PURI | DBATU INDIA | MRI, DEEP LEARNING, MACHINE LEARNING, ALZHEIMER'S DISEASE |
Dihan Sazid | RUET | ALZHEIMER'S,CNN |
Dijana Ostojic | National university of Ireland,Galway | Final year project |
Dilan Yucel | Amsterdam University Medical Center | voxel based morphometry, alzheimer, neuropsychiatry, cortical thicknes, volume |
Dilaxy Kumarasamy | ZHAW School of Applied Science | MCI, dementia, progression, neuropsychology tests |
Dileep Kumar G | Sudiksha Analytics | ADNI, Research, Study |
dilek özkan | fırat uni | alzheimer, review, deep learning |
Dilek Yilmaz | Heinrich-Heine-Universität Düsseldorf | VBM |
Dilip Verma | New York Institute Of Technology | Python, Anaconda |
Dilmini Wijesinghe | USC Stevens Neuroimaging and Informatics Institute | fMRI, AD, COMPLEXITY |
Dimas Prayitna | Universitas Islam Negeri Sunan Gunung Djati Bandung | Alzheimer, image classification |
DIMITRA OIKONOMOU | National Centre of Scientific Research "DEMOKRITOS" | neurons,disorders,simulations, statistical measures |
Dimitra Tzaferou | University of Gothenburg | FDG-PET |
Dimitri Mantovani | PUCRS | Alzheimer |
Dimitrios Baltos | Aristotle University of Thessaloniki | CNN, Alzheimer's, Neural Networks, Computer Vision |
Dimitrios Chatzakis | University of Patras | computer vision, deep learning |
Dimitrios Melissourgos | University of Florida | Privacy preserving neural network prediction on medical images |
Dimitrios Toumpanakis | Uppsala University | dementia, NPH |
Dimitris Moutzoglou | Aristotle University of Thessaloniki | Machine Learning , Brain segmentation |
Dimitris Papatsarouchas | University of Piraeus | gan,generative adversarial networks |
Dimple Amitha Garuadapuri | Eleanor Roosevelt High School | Diagnosis, Alzheimer's disease, MRI, machine learning |
Dinal Jayakody | University of Westminster | Research, image processing, machine learning |
Dinar Abdelaziz | University of Mustapha Stambouli | ADNI |
Dinara Miftyakhetdinova | University of Windsor | Partially observed dynamic tensor response regression |
Dinesh Barupal | Icahn School of Medicine at Mt Sinai | metabolomics |
Dinesh Chandra | MNNIt, Allahabad, UP, India | AD |
Dinesh Ghemosu | Khowpa College of Engineering | Deep Learning, Alzheimer Disease, Detection |
Dinesh Kumar | University of California Davis | metabolomics, text mining, machine learning |
Dinesh M.S. | Philips India Limited | Image Quality |
dinesh ponnuswamy | SAI Incubation Centre | ADNI, project, research |
Dinesh Vijayakumar | Great Lakes | Computer Vision, Deep Learning, Artificial Intelligence |
ding dewen | Chongqing University Of Posts And Telecommunications | adni |
ding haoyu | Southern Medical university | medical diffusion |
Ding Jinyang | DHU | aaa |
ding jiuyu | SCU | APOE4 |
Ding Li | The Affiliated Hospital of Qingdao University | Deep learning; VGG |
Ding li tao Ding li tao | jiangsu university | AD |
Ding MaFang | Harbin Engineering University | Alzheimer's disease |
ding weiwu | Chongqing University of Technology | Alzheimer's disease classification |
ding wencai | Harbin Medical University | Alzheimer's disease,Fmri,PET,biomarker. |
Ding Yi | Shanghai Jiao Tong University | research |
Ding Yuanqing | Fudan | spinal cord injury |
dingcai rao | North SiChuan Medical College | brain function |
Dingfan Chen | max planck institute for informatics | Anomaly detection, deep generative model |
Dinggen Dai | KIT | Alzheimer's disease, medical, influence factor |
Dingke Tang | University of Toronto | Average causal effect; Ball covariance; Confounder selection |
Dinh The Kiet | hanoi university of science and technology | alzheimer's disease |
Dinu A J | Noorul Islam | AI,Alzheimer's disease |
Diny Thomson | Monash University | tau, PET, BDNF |
Diogo Shiraishi | UNICAMP | MRI, deep learning, segmentation, cerebellum |
Diony Sun | Beijing Jiaotong University | Alzheimer's disease, classification |
Diony Sun | Beijing Jiaotong University | Alzheimer's disease, classification |
Dipak Upadhyaya | Case Western Reserve University | Machine learning |
Dipan Roy | Kalyani Government Engineering College | machine learning, model, brain, disease |
DIPANJAN SEHANOBISH | IIT HYDERABAD | Alzheimer |
Dipankar Bandyopadhyay | Virginia Commonwealth University | DTI, tensor regression, spatial methods |
Dipon Roy | George Washington University | Amyloid-PET |
Diponkor Bala | Islamic University-Bangladesh | Brain MRI |
Diqing Li | Zhejiang Gongshang University | change-point, Gaussian copula |
Dishant Padalia | KJ Somaiya College of Engineering | Deep Learning, AI |
Disi Lin | Umea university | age prediction, mri |
Div Siv | Frontage | Deep Learning |
Divjot Singh | THAPAR UNIVERSITY | Alzheimer, deep learning, cnn |
Divya B | Stigmata techno solutions LLP | alzhiemer,ML |
DIVYA B | MIT | Research/Project work |
Divya Baiskhiyar | None | Deep learning machine learning |
Divya Brundavanam | Karolinska Institutet | predictive modeling, multimodal MRI |
Divya Dhandapani Reddy | University of Texas Southwestern Medical Center | Alzheimer's Disease, Prediction |
Divya Gollapalli | University of Texas at Dallas | Brain, MRI, Alzheimer's, research |
Divya R | MEPCO SCHLENK ENGINEERING COLLEGE | fAlzheimer's disease, ADNI, fMRI,PET,Deep Learning,Feature extraction |
Divya R | CMR University | Physiological parameters |
Divya Singh | University of Aberdeen | MRI, Alzheimer's disease, Neuroimaging data,open access, de-identified data |
Divya Sitinamaluwa | Northumbria University | EEG |
diya Ilinani | New York University | multimodel, autoencoder, MRI, EHR records |
Diyang Lyu | Capital Medical University | Alzheimer's disease, aMCI, fMRI |
Djesse Dirckx | Radboud University | Dynamic survival analysis, machine learning, MATCH-Net, cognitive decline |
Dmitrii Lachinov | Medical University of Vienna | disease progression modelling |
Dmitrii Usynin | Imperial College London | Federated learning, MRI, MPC, Image segmentation, Image Classification |
Dmitry Sobolev | Beijing University of Science and Technologies | computer science |
Dmitry Sorokin | Lomonosov Moscow State University | image registration |
Dmitry Tkach | Flying Troika LLC | deep learning, disease risk prediction, drug discovery |
Dmitry Zaretsky | Zarbio | beta-amyloid; senile plaques; mathematical modeling |
Dmytro Kuksenko | Quantlivly | mri, federated learning, 3d classifier |
Dnyaneshwar Pawar | Liverpool John Moores University | Detecting disease stages, understanding causes of Alzheimer's |
Do Huy Thong | Sai Gon University | Transfer learning |
Do Van Huynh | Japan Advanced Institute of Science and Technology | dementia classification, Alzheimer's disease |
Do-Hoon Kim | Daejeon Eulji Medical Center | Alzheimer's disease, MCI |
Do-Young kang | Dong-A university hospital | Resnet, transfer learning |
Doa'a Bador | Tishreen University | Alzheimer's disease; MRI |
doaa Ali | University of kentucky | Preclinical AD - amyloid PET images_ Cognitive function tests |
Doaa Ebrahiem | Mansoura University | alzheimer |
Doaa Mousa | Electronics Research Institute | FMRI, biomarkers, brain disorders |
doaa yehia | itec | ADNI |
Doaa Youssef | NILES | early detection of AD |
Dob Ma | University of Jinan | Alzheimer disease;Medical Image analysis;computer aided diagnosis |
Dobri Baldaranov | USC | CMB, WMI, OAK, anti-platelet |
Doha Abdelaal | AinShams | Graduation project-AlZahimer MRI |
DOHYUN KIM | KYUNG HEE UNIVERSITY | dementia, image analysis, early detection, diagnosis |
DoHyun Kim | SungKyunKwan university | Alzheimer's Disease. Deep Learning. Visual Transformer |
dohyun yoon | yonsei university | deeplearning |
DoHyung Kwon | KOREATECH | SNP, AD, AI, Machine Learning, Deep Learning |
Domenico Aquino | Fondazione IRCCS Istituto Neurologico Carlo Besta | Morphometry, PET |
Domin Thomas | Kingston University | Automated Alzheimer's Dementia Classification |
Dominic Danks | University of Birmingham | Dimensionality Reduction; Pseudotime; Biomarker modelling; Disease progression |
Dominic Padova | Johns Hopkins University School of Medicine | MRI, DTI, Longitudinal, Vestibular |
Dominic Trépel | Trinity College Dublin | Economics |
Dominic Tsang | NEUQ | ADNI |
Dominik Blum | University Hospital Tuebingen | Parkinson, Cognition, FDG, denoising |
Dominik Meier | MIAC | MRI morphometry |
Dominika Ciupek | Sano – Centre for Computational Personalised Medicine - International Research F | dMRI, microstructure, deep learning, federated learning |
Dominika Swieboda | Emory University | african american, race, SNP, genotyping |
Dominika Wilczok | High school IB Diploma programme | CSF, Tau, protein, biomarker, AD, cognitive impairment, neurochemistry |
Dominique Mariko | DSTI | statistical modelling |
Dominique Popescu | Brown University | APOE, Cardiovascular risk factors, metabolic syndrome, amyloid PET |
Don Cariddi | SUNY Oswego | Alzheimer's Disease Early Detection |
Donal McLaughlin | University College London | Alzheimer Hidden Markov Models, Conditional Random Fields and Neural N |
Donald Kuhl | Lawson Research Institute | ADNI-GO |
Donald Royall | University of Texas Health Science Center at San Antonio | Alzheimer's, biomarkers, dementia |
Donald Trump | Tsinghua University | machine learning |
Donat Stankiewicz | Gdańsk University of Technology | Alzheimer's disease, neural network, image segmentation |
Donatas Sederevicius | University of Oslo | MCI; AD; Hippocampus; MRI; sample |
Donatella Fracassi | Bambino Gesù Children Hospital | PET connectivity - AD |
Donato Romano | Michelangelo Merlin | Alzheimer's deseas |
Dong cui | 1978 | cd_ggh100200 |
Dong HaoRan | YunNan University | deep learning,multimodal |
Dong Heon Lee | University of Pennsylvania Perelman School of Medicine | Multi-omics integration |
Dong Ho Cho | Korea Advanced Institute of Science and Technology (KAIST) | Machine Learning, Biomarker, Classification, Diagnostic |
Dong Hou En | Chung Yuan Christian University | MCI |
Dong Hyeon Shin | Hallym University | deep learning, data augmentation |
dong lin | 云南大学 | multimodal analysis |
Dong Pan | Sun Yat-sen Memorial Hospital, Sun Yat-sen University | cerebral small vessel disease; anti-platelet therapy; dementia |
dong peng | AnHui Normal University | MCI |
dong tingting | central south university | multimodal fusion image to predict AD better |
DONG WEI | SUDA | Graduation, research, system, improvement |
DONG XIAOXI | Beihang University | classification |
Dong Xingbo | Yonsei University | image registration, image enhancement |
Dong Xinxiu | Jianghan University | prediction model;MCI |
Dong XP | XuChang University | AD |
Dong Young Park | Kangwon National University | neurology, machine learning, classifcation |
Dong Young Park | Kangwon National University | neurology, machine learning, statistic |
Dong-Kyun Lee | Hanyang Univ. | early late onset biomarkers |
Dongang Wang | University of Sydney | Alzheimer's disease, Brain MRI, deep learning |
Dongbing Lai | Indiana University School of Medicine | genotyping QC |
Dongcheng Zhao | Beihang University | CNN,MRI,Alzheimer's disease |
dongdong chen | shanghai jiao tong university | deep learning; study; research |
dongdong gu | Hunan University | MRI |
DONGDONG ZHOU | university of jyvaskyla, finland | signal processing, deep learning |
Donggang Jin | UESTC | MRI |
Dongha Lee | Korea Brain Research Institute | DTI,fMRI |
Dongho Lee | DigiPen Institute of Technology | Convolutional Neural Network, VGG19, Transfer Learning, |
Donghoon Cho | Kyungpook National University | Digital Contents, Machine Learing, ADNI |
Donghoon Lee | Memorial Sloan kettering Cancer Center | Longitudinal, MRI |
donghoon shin | kyonggi univ. | bias field correction |
Donghui Xu | 东华大学 | Alzheimer |
DongHyuk Lee | KAIST | AD, cognitive reserve |
Dongjiao Zhao | Messiah University | Physical Therapy |
Dongjiao Zhao | Messiah University | Physical Therapy |
Dongjie Cheng | Sichuan University | SAM Test |
Dongjie Wang | University of Central Florida | Causal Discovery |
Dongjun Kwon | Korea Univ. | AD, Machine Learning, Deep Learning |
Dongkyu Won | DGIST | Brain MRI, deep learning, Alzheimer's analysis |
Dongling Zhang | Tiantan Hospital | free water |
Dongmei Gu | Peking University Institute of Mental Health (Sixth Hospital) | MCI sreening |
Dongmei Gu | Peking University | mild cognitive impairment; impairment cognitive tests; community screening |
dongming liu | Nanjing Drum Tower Hospital | AD, SCD, MCI, MRI |
Dongming Wei | Shanghai Jiao Tong University | deep learning |
dongping xiong | University of South China | Alzheimer’s disease;Graph convolutional networks;Semi-supervised classification |
Dongpyo Hong | Neurozen Inc | Alzheimer's disease, Brain NueroImaging |
Dongpyo Hong | IMAGEOPSIS Inc. | Alzheimer's disease, Brain NueroImaging |
Dongrak Choi | Duke University | missing imputation, Joint modeling, Heckman's rule |
Dongsoo Lee | Seoul National University | White matter hyperintensity, segmentation, ADNI |
Donguk Ryu | Gwangju institute of science and technology | brain, biomedical image, ai, artificial intelligent |
Donguk Ryu | Gwangju institute of science and technology | brain, biomedical image, ai, artificial intelligent |
dongwan lu | wenzhou university | swarm intelligence algorithm |
Dongwoo Kim | Yonsei University College of Medicine | Amyloid |
Dongxu Sun | TrueBinding | plaques |
Dongxue Wang | Renmin University of China | ADNI data, multidimensional data |
Dongyan Li | Dalian Jiaotong University | complex network; brain network;fractal |
Dongyeop Jang | Gachon University | topological data analysis, complexity science |
Dongyoung Lee | Seoul National University Hospital | Amyloid, APOE e4, cerebral glucose metabolism, brain network |
Dongyu Wan | UESTC | age prediction |
Dongze Xu | University of Chinese Academy of Sciences | artificial intelligence;neural network;machine learning |
Donna Dierker | Washington University School of Medicine | ADOPIC |
Dontha MadhuSudhaan Rao | National Institute of Technology | ADNI |
Doorgeshwaree Bootun | University of Mauritius | Alzheimer, stage |
DooYoung Kim | Chonnam National University | GAN, PET, image transtration |
Dorcas Ofori-Boateng | Portland State University | Topological data analysis; fMRI; MRI |
Doren Calliku | University of Pavia | machine learning, ensemble, biomarker |
Dorie-Mae Nicolas | Hoag | smoking, SES, cognition |
Doris Molina-Henry | Winston-Salem State University | fluid based markers |
Dorotea Mihaljević | university of applied health sciences zagreb | data |
Dorsa Salehi | hospital and clinic | Alzheimer,Dementia |
Dorsa Shekouh | Shiraz University of Medical Sciences | Alzhemier; Mechanism |
Dou Yang | Xuanwu hospical captical medical university | DTI |
Doudou Yu | Brown University | hypothalamus, correlation, machine learning, sequencing |
Douglas Baldissera | Univates - Universidade do Vale do Taquari | Artificial intelligence; neural networks; |
Douglas Galasko | UC San Diego | CSF biomarkers cognition |
Douglas Merkitch | Shirley Ryan AbilityLab | cognitive decline; neurocorrelates |
Douglas Peters | University of California, San Francisco | Alzheimer disease, brain atrophy, inflammation, perfusion |
Douglas Scharre | Ohio State University | Screening test |
Douglas Steele | University of Dundee | MRI |
Douglas Sturim | MIT Lincoln Laboratory | rs-fMRI,sparse-representation,TBI |
Douglas Tommet | Brown University | Retest effects |
Douna Tsai | yang ming university | classification |
Doyin Aderinwale | Korea Advanced Institute of Science and Technology | Visual question answering |
Dr Aishwarya Wodeyar | KS Hegde Medical Academy | Non-invasive biomarker |
Dr Keyur Patel | Karnavati University | AI, Deep Learning |
Dr Maryam Liaquat | PIEAS | DATA OF DEMANTIC / COGNITIVE DECLINE PATIENTS |
Dr. Khalid Hussain | North Campus, University of Kashmir | GAN, ADNI, Alzheimer, CNN, Prediction, Medical image daignosis. |
Dr.Anu v.R. | scms | dementia, Alzheimer |
Dragos Gruia | Imperial College London | Depression Alzheimer Dementia |
Dragos Horvath | CNRS | Generative Topographic Mapping |
Drayton Rodrigues | Humana | Machine Learning |
Drew DeBay | Cubresa Inc. | PET, MRI, Attenuation Correction, PET quantification |
Drishti Makhija | NIT Kurukshetra | CNN, RNN, LSTM, Ensemble, Alzheimer's disease |
du junyong | Hua Zhong University of Science and Technology | Brain network,Neurology |
du longfei | Xi 'an Jiaotong University | Alzheimer's disease |
Du Nianmao | Jiangnan University | 23333 |
du yang | Shanghai Jiao Tong University School of Medicine | Alzheimer’s Disease; early detection ; radiomics; neuropsychiatric symptoms |
Du Ying | Tangdu Hospital | AD; MCI; cardiovascular; medication |
Du Zhenwei | Daping Hospital | 123456 |
Duaa Mejjo | Allepo University | Alzheimer' mri images |
Duanlu Hou | Shanghai Fifth People's Hospital | biomarker, predictor, progression |
Duarte Tavares | ARSLVT | AD, MCI, Ageing, Blood Testes, Biomarker, Imaging |
Duc Anh Nguyen | Kyoto University | machine learning models, Alzheimer’s disease |
Duc Duong | Emory University | Proteomics, MRM, SRM |
Duc Khanh To | Univeristy of Padova | VUS, Alzheimer's disease, covariate-specific |
Duc Thanh Nguyen | Gwangju Institute of Science and Technology, South Korea | deep learning, state-state model, functional dynamics, classification, rs-fMRI |
Duc Toan Bui | Sungkyunkwan University | synthetic image, cycleGAN |
Duc Toan Bui | Sungkyunkwan University | GAN |
duck ho choi | Sung Kyun Kwan Univ. | Alzheimer |
Duilio Deangeli | Laboratorio Plasmas Densos | OC-SVM, morphologic and shape analysis, index disease |
Duke Han | USC | cognition, neuroimaging |
Dulani Meedeniya | University of Moratuwa | Deep learning |
Dulumani Das | Gauhati University | Image Processing . segmentation. MRI. |
Duncan Alston | University College London | p-tau 181 |
Dunia Alhamad | The University of Sheffield | Amyloid scan, cortical atrophy, T1, FLAIR, neurovascualr changes |
Dunyuan XU | CUHK | GCN learning |
Duo Wang | Florida State University | predictive model; MRI; Alzheimer's disease |
Duo Xi | Northwestern Polytechnical University | brain imaging genetics, alzheimer disease |
duopeng li | Huazhong University of Science and Technology | Alzheimer's disease;Support vector machine;Feature selection |
DURGESH SINGH | shri ramdeobaba college of engineering and managament | Alzheimer, Convolutional, Transfer Learning |
durong chen | shanxi medical university | Parkinson |
Dustin Wooten | AbbVie | fast responders, machine learning |
duwei dai | Xi'an Jiaotong University | Medical image analysis |
Duy Duong-Tran | United States Naval Academy | brain connectivity, fingerprint |
Duy Nguyen Ho Minh | German Research Centre for Artificial Intelligence | deep learning; medical image |
Duyen Nguyen | University of Southern California | data management, fMRI |
Duyen Nguyen | UIT | early disease detection |
DUYGU AKIN SAYGIN | Necmettin Erbakan University | RADİOLOGICAL,ALZHEİMER. |
Duygu Ekinci Birol | HTW | MRIs ,CNN, CTAV, CRP , bias |
duygu sinanç | gazi university | deep learning, transfer learning |
Duygu Tosun | UCSF | multimodality, early AD pathology, biomarker |
Dvir Kraushar | Tel-Aviv University | MRI , GAN |
Dwarikanath Mahapatra | Inception Institute of Artificial Intelligence | registration, segmetnation |
Dwight German | University of Texas Southwestern Medical Center | klotho, clusterin, ApoE, FGF23 |
Dyachkov Evgeny | MIPT | Convolutional Neural Networks |
Dylan Del Papa | University of Miami/Jackson Health Systems | Parkinson's, Cerebral Small Vessel Disease, CSVD, alpha synuclein |
Dylan Henssen | Radboudumc | Lewy Body Dementia; FDG PET Neuroimaging |
Dylan Seitz | Indiana University School of Medicine | neuropsychiatric, significant memory concern |
Dylan Turnley | University of Leeds | MBERT, MMFT-BERT, Switch-BERT, BERT, Alzheimer's Disease, ADNI |
E Ghosh | Vidyasagar college | Academic |
Eahsan Shahriary | University of Arizona | Data management and statistical analysis |
Eardi Lila | University of Washington | Diffeomorphic, Brain shape, |
eashita das | Dr. Eashita Das | data mining, analysis |
Easwaran Ramamurthy | Carnegie Mellon University | genetics, epigenetics, regulatory genomics |
Ebenezer Daniel | City of Hope National Medical Center | MRI |
Ebrahim Ebrahim | Kitware, Inc. | mild cognitive impairment, MRI, deep learning, multimodal |
Ebrahim Safadi | OHSU | Deformable image registration, deep learning, atrophy |
Ebtsam Mohamed | Minia University | ML, Deep Learning |
Ebubekir IRAK | Turasaş | ADNI |
Ecem Gunaydin | Ege Universty | Survival |
echo echo | Fuzhou University | Learning |
EDDIE CHEN | Stony Brook | machine learning, AI, MCI, AD |
Eddie Stage | Indiana University School of Medicine | Alzheimer's, tau, PET, MRI, FDG |
Eddie Stage | AbbVie | Fluid, Neuroimaging, PET, MRI |
Edén Sorolla | Swiss Integrative Center for Human Health | Deep Learning |
Eder Issao Ishibe | Universidade de São Paulo | Alzheimer, CNN |
Edgar Lara | Instituto Mexicano del Seguro Social | Alzheimer, image analysis, prediction machine learning |
Edgar Mejia | Itfusion SAS | Deep learning, AI, Medica Diagnosis |
Edina Silajdzic | King's College London | statistical |
Edit Franko | University of Aberdeen | MCI, hippocampus, volume |
Edlir Pllashniku | Halmstad University, School of Information Technology | Machine Learning, AI, Health, Medicine |
Edmond Teng | UCLA/West Los Angeles VA | plasma biomarkers, early-onset, familial AD, mutation |
Edoardo Beltazar | UCL | Machine learning, blood biomarkers |
Edoardo Marcora | Icahn School of Medicine at Mount Sinai | gwas, prs, fungen, finemapping |
Edoardo Montecchiani | University La Sapienza | university project |
edot far | University of Tabriz | article - brain functional - Alzheimer’s disease |
Edson de Sousa Silva | IESB | Machine Learning Biomarkers Artificial Intelligence Deep Learning |
Eduard Drima | Universitatea Dunărea de Jos, Galați, Romania, UE | mTBI, mild cognitive impairment |
Eduard Lloret | Shanghai Jiao Tong | Classification, Alzheimer, Multimodality |
Eduard Sune | Universitat Pompeu Fabra (UPF) | modelling treatments, hydrocephalus |
EDUARDA GRECCO VIEIRA | UNIVERDADE FEDERAL DE GOIAS | SPM, Brain, dementia, MatLab, Statistic, parametric, mapping |
Eduardo Barbará | Universidad Autónoma Metropolitana (UAM) | image processing data analize |
Eduardo Bellatto Guaresi | UNOESC | inspiração |
Eduardo Camacho | UPV | Artificial Intelligence, lesion segmentation |
Eduardo Castro | IBM Research | longitudinal, Alzheimer's disease, multimodal, multivariate, predictive |
Eduardo Daniel Posadas Gamez | Autonomus University of Queretaro | white matter, meachine learning; segmentation |
Eduardo de Avila Armenta | Autonomous University of Zacatecas | Automatic segmentation, radiomics, machine learning, AD |
Eduardo Garza-Villarreal | Instituto Nacional de Psiquiatria | diabetes, imaging genetics, neuroimaging |
Eduardo Grosso | King's College London | machine learning, anova |
Eduardo Luz | Federal University of Ouro Preto | data representation, deep learning, machine learning, Alzheimer |
eduardo marques zilli | UT Health Science Center San Antonio | cortisol, amyloid, tau |
Eduardo Noguera | hospital privado | brain |
Eduardo Perez-Valero | University of Granada | EEG, Alzheimer's disease, machine learning |
Eduardo Torres Davila | University of Minnesota - Twin Cities | Alzheimer's Disease, Deep Learning |
Eduardo Zimmer | Federal University of Rio Grande do Sul | Alzheimer, Biomarkers, Neuroimaing, biomarkers |
Edvin Molla | UCLA | machine learning, Alzheimers, dementia |
Edward Adinkrah | Charles R. Drew University of Medicine and Science | sociodemographic, diagnostic, African American, Latinx |
Edward Booker | Genentech | longitudinal analysis |
Edward Hill | University of Tasmania | Biomarker Course, UGOT, UCL, R |
Edward Hui | The Hong Kong Polytechnic University | aging, cognitive reserve, connectivity |
Edward Lee | Stanford University | MRI, machine learning |
Edward Martin | Cardiff University | Alzheimer Disease, Mild Cognitive Impairment, Masters Thesis |
Edward Vendrow | Stanford University | Brain, MRI, Deep Learning, Neural Network, Alzheimer's, Dementia |
Edward Zhang | University of Florida | Meta-ROI, ASL, MRI, SPM8, FSL |
EDWIN JOSE MOLINA DELGADO | UNIVERSIDAD POPULAR DEL CESAR | ALZHAIMER |
Edwin Ramos | Universidad Manuela Beltran | Classification, Machine learning, deep learning |
EDWIN SYBINGCO | De La Salle University | Deerp Learning |
Edwin Tan | The University of Sydney | medication, cognition, dementia, prevention, disease progression, pharmacy |
Eeksung Lee | Soonchunhyang University Bucheon Hospital | hippocampal occupancy score |
Eesha Kaul | National Institutes of Health | Brain scan, machine learning, artificial intelligence, algorithm |
Eewon Tai | Ewha Womans University | brain segmentation, disease classification |
Efe Dogukan Efeoglu | Middle East Technical University | mathematical statistics, image processing, neuroscience |
Efekan Kavalcı | Boğaziçi University | MCI, AD, artificial intelligence |
efi Athieniti | Cyprus Institute of Neurology and Genetics | data integration; |
Efstathios Gennatas | University of California, San Francisco | machine learning, precision medicine, multimodal data analysis, interpretable |
Eftal Sehirli | Karabuk University | Deep Learning, Machine Learning, AD |
Efthymia Maria Kapasouri | University of East Anglia | MRI, MCI, perfusion, predictors, biomarkers, Alzheimer's disease, CSF |
Eghosa Amadin | Stanford University | diagnosis |
Egils Avots | University of Tartu | MRI, image processing, nn, cnn |
Egle Gudziuniene | Lithuanian University of Health Sciences | Alzheimer's disease, early diagnostics, dementia, brain damage |
Egor Levchenko | Higher School of Economics | topology, spectrum, ml |
Ehsan Ghavimehr | IAUTMU | AD subtypes |
ehsan jamshidi | University of Tabriz | Alzheimer's Disease- Deep Learning |
Ehsan Kazemi | Univesrity of Cumbria | Alzheimer's disease, structural magnetic resonance imaging, hippocampal atrophy |
Ehsan Pishva | Maastricht University | Genomics |
EHSAN RAHMATI JONID ABAD | FERDOWSI | MCI |
Ehsan Saghapour | North Carolina State university | Deep Learning Model, Transfer learning, |
Ehsan Yaghmaei | Chapman University | Cognitive Decline Score, Alzheimer |
Ehud Zeltzer | University of California, San Francisco | Orientation; Season; MMSE |
Eiji Yasuda | Tokyo Medical And Dental Univ. | CNN MRI |
Eileen Pious | Sri Krishna College Of Engineering and Technology | Alzheimer's,Functional MRI,Structural MRI |
Eileen Yao | Chung Yuan Christian University | MCI ,AD,MRI |
Eirik Fladmark | University of Manchester | Machine Learning, Neural Networks |
Eirini Klironomou | National Technical University of Athens | alzheimer's disease, detection, deep learning, neural networks |
Eivind Arvesen | N/A | machine learning, deep learning, ai, neural networks |
Eka Fita Yanti | Universitas Indonesia | cox ph, accelerated failure time, age, gender, comorbid, alzheimer |
ekansh trivedi | MPSTME NMIMS UNIVERSITY | machine learning |
EKATERINA KONDRATEVA | Skoltech | DANN, component analysis, MRI morphometry |
Ekaterina Shatalina | Imperial College London | fALFF, fMRI, multimodal neuroimaging |
Ekaterina Tchistiakova | University of Toronto | Structural atrophy, perfusion, diabetes, hypertension |
Ekin YAGIS | University of Essex | deep neural networks |
Ekta Walia Bhullar | Amazon Web Services | Multimodal Data Analytics |
El Mehdi Benyoussef | Hassan 2nd University of Casablanca | Machine Learning, Image Processing, Alzheimer's Disease |
El mehdi Zerbet | IBN ZOHR university | Deep Learning, Detection, CNN, RNN |
El-houssaine OHSSINE | ENSIAS | Deep Learning, GAN, co-registration |
elahe dorani | Institute for Advanced Studies in Basic Sciences (IASBS) | Probabilistic models, Bayesian inference, Alzheimer's disease, ADNI dataset |
Elaheh Kalantari | University of Surrey | deep learning, dementia, multimodal, prognosis, causal inference, longitudinal |
Elaheh Moradi | University of Eastern Finland | Alzheimer's disease, Mild cognitive empairement, machine learning, deep learning |
Elaine Green | Plymouth University | L1 elements, retrotransposons |
Elaine Wan Ling Chan | International Medical University | SVM classifier for the determination of progressive deterioration of AD |
Elbethel Zewdie | Addis Abeba Inistitute of Technology | Alzheimers Disease |
Elda Tushaj | University of West Attice | A.I., Neural Networks, Fuzzy System, Diagnosis, Alzheimers |
Eldon Chan | University of California, Berkeley | Deep Learning, Alzheimer's Recognition and Prediction |
Eleanna Varangis | Columbia University Medical Center | fMRI, PET, tau, functional connectivity |
Eleanor Hayes-Larson | UCLA | plasma biomarkers |
Elen Riswana Safila Putri | UIN Sunan Ampel Surabaya | ALZHEIMER |
Elena Amigo | University of Aberdeen | Volumetry, comedication |
Elena Casiraghi | Università degli Studi di Milano | Machine learning, Patient networks, Explainability, Interpretability |
Elena Doering | University Hospital Cologne | education, metabolic activity, aging |
Elena Dominguez | University of California, Irvine | Cingulate Cortex, Cortical Thickness, Cognition |
Elena Erosheva | University of Washington | Longitudinal, hierarchical, mixed effects |
Elena Galea | Institute of Neuroscience, University Autonoma of Barcelona | proteomic data, CSF/plasma, astrocytic signature(s) |
Elena Ovreiu | University Politehnica of Bucharest | AD biomarkers, deep learning, supervised, unsupervised |
Elena Rodriguez-Vieitez | Karolinska Institutet | glial activation, cognition, years of education, genetics |
Elena Safrygina | University of Bath | N/A |
Elena Sonmez | Istanbul Bilgi University | medical images,deep learning, classification |
Elena Stefanova Stefanova | Metaepigenetics | epigenetics, machine learning, cognitive data modelling, diagnosis, management |
Elena Valkanova | University of South Florida | sleep disturbance, biomarkers, CSF |
Eleni Aretouli | University of Deusto | intraindividual variability |
Eleni Seyoum | University of Minnesota | Alzheheimer's, variables, causal discovery |
Eleonora Ficiarà | University of Torino | Iron, MRI, Mild Cognitive Impairment, Alzheimer's Disease |
Eleonora Ottaviani | Cnr-IASI | Bioinformatics, |
Eléonore Schneegans | Imperial College London | Machine learning methods for autism detection |
Elettra Capogna | University of Oslo | biomarkers, MCI, cognitive decline, structural MRI |
elfazziki elfazziki | Marrakech university, computer science department | alzheimer, diagnosis, machine learning |
Elham Mirfarah | National Cheng Kung University | Longitudinal data, censored data |
Elham Nikram | Elham Nikram | Dementia,BMI, cognitive function |
Elham Ramezannezhad | Isfahan University of Medical Science | fMRI, DTI, Machine learning, Neuroimaging |
Elham Yousefzadeh | Ulm university | quantification, corrolation, FDG, PiB, PBB3 |
Eli Hatchwell | Population Bio UK, Inc. | VNTR |
Elia Hanish | Yale School of Medicine | tau, amygdala, cognitive impairment, Alzheimer's, neuropsychiatric symptoms |
elias mazrooei | azad university | mri.alzheimer,CNN |
Elias Michaelis | University of Kansas | Alzheimer's disease, male gene variants, female gene variants |
Elias Paulino Medeiros | Universidade Federal do Ceara - UFC | Alzheimer diase, machine learning |
Elie Matar | University of Sydney | Alzheimer's disease, Dementia with Lewy bodies |
Elie-Andre Pagna-Disso | University of Westminster | python, data analysis, machine learning, bioinformatics |
Elies Fuster-Garcia | Oslo University Hospital | Deep learning, data fusion, diagnostic |
Elif Aygün | Bilkent University | DTI, AD, CSF |
Elif Bahçekapılı | Yıldız Teknik Üniversitesi | Machine Learning, Disease |
Elif Eyigoz | IBM Research | Huntington's Disease, normal aging, imaging |
Elif gozel | bogaziçi university | alzheimer and pet-ct |
Elif Sıdal KARAKUŞ | TOBB ETU | Image processing in Alzheimer Disease |
Elina Chang | USST | MR, style transfer |
Elina Thibeau--Sutre | ICM (Institut du Cerveau et de la Moelle épinière) | Unsupervised learning of AD subtypes |
Eline Appelmans | Foundation for the National Institutes of Health | PPSB |
Eline Willemse | Amsterdam Neuroscience, Amsterdam UMC, VU University | Neurofilament light, CSF, plasma, serum, statistical modeling |
Eline Willemse | University Hospital Basel | neurofilament light; brain longevity; whole brain atrophy; cognition |
Elinor Thompson | University College London | Tractography, PET |
Elior Drori | The Hebrew University of Jerusalem | AD, striatum, subcortical, MRI, quantitative MRI, non-invasive |
Elisabetta Grecchi | GE healthcare | AD, amyloid, prediction |
Elisangela Silva dos Santos | Unicamp - University of Campinas, Brasil | #Gans #MRI |
Elise Blaese | IBM Research | NIA GCAD Watson |
Elisenda Bueicheku | Massachusetts General Hospital / Harvard Medical School | amyloid, tau, resting-state, aging, alzheimer disease, biomarkers |
Eliška Mádrová | Prague University of Economics and Business | machine learning |
Elissa McIntosh | University of Southern California | Blood glucose, diabetes, medication, biomarkers |
Elizabeth (Lizzie) English | University of Cambridge | - |
Elizabeth Breen | Fordham University | Latinx, neurocognition, cultural neuropsychology, functional status, ethics |
Elizabeth Couser | University of Maryland, Baltimore | imaging, Alzheimer's |
Elizabeth Finger | University of Western Ontario | NPI, MRI, PET |
Elizabeth Fitzgerald | Stanford University | deep learning, transfer learning, mri |
Elizabeth Hipskind | Baylor College of Medicine | neuroimaging, Alzheimer's Disease, machine learning |
Elizabeth Hutchinson | University of Arizona | translation, diffusion, relaxometry |
Elizabeth Kaplan | Brown University | White matter, Tau, Neuroimaging |
Elizabeth Keeling | Barrow Neurological Institute | diffusion tensor imaging |
Elizabeth Kuhn | DZNE Bonn | Self-/informant-reported SCD, AD biomarkers, cognitive/clinical decline |
Elizabeth Lane | National Louis University | heart health; sleep; exercise; cognitive aging |
Elizabeth Mamourian | University of Pennsylvania | aging, AD |
Elizabeth Mauer | Weill Cornell Medicine | LDA, covariance matrix, rsFMRI |
Elizabeth McMahon | Michigan State University | dementia, brain mass, brain volume, alleles, markers, SNPs |
Elizabeth Menten | NYU Grossman School of Medicine | healthy controls, white matter diffusion, amyloid beta |
Elizabeth Newman | Emory University | tensor, multidimensional data, fMRI |
Elizabeth Pirraglia | Center for Brain Health, NTU Medical Center | CSF, MRI, PET |
Elizabeth Pirraglia | NYU School of Medicine | biomarkers, heterogeneity |
Elizabeth Proctor | MIT | Mathematical modeling, Complex biomarkers |
Elizabeth Rizzoni | Brigham and Women's Hospital | demographics, neuroimaging repositories |
Elizabeth Rose Mayeda | University of California, Los Angeles Fielding School of Public Health | “Cognitive reserve, using ADNI data as a teaching example, Psychometrics Worksh |
Elizabeth Sanders | University of Washington | Cognition, Alzheimer's |
Elizabeth Shaji | New York University | machine learning |
Elizabeth Sharp | Brown University | Alzheimer's, PET, MRI, rsfMRI, neural correlates |
Elizabeth Sweeney | Weill Cornell Medicine | intensity normalization, structural MRI |
Elizabeth Tuason | Cleveland Clinic | inflammatory,cytokines,AD,MCI,sTREM2 |
Elizabeth Wan | University College London | Education, Coding |
Elizaveta Lavrova | Maastricht University | radiomics, Alzheimer's disease, brain PET/MRI |
elkanouni othmane | Institut national des poste et telecommunication | Alzheimer's data analysis |
Ellen Dicks | Amsterdam UMC | Alzheimer's disease; MRI; PET; CSF |
Ellen Kuhl | Stanford University | Bayesian Analysis, Physics-Informed Neural Networks, Machine Learning |
Ellen Rumley | Univ of Colorado Boulder | Slicer modeling |
Ellen Tatevosyan | USC NIIN | NIIN |
Ellen Wijsman | University of Washington | WGS association endophenotype |
Ellen Yu | University of Virginia | deep learning models, research, neuroimaging genomics project |
Ellie Bartlett | University of Sussex | Alzheimers |
Elliot Park | Brown University | Alzheimer's disease, psychological stress, biomarkers, hippocampal subfields |
Ellis Langford | IXICO | Neuroimaging research |
elmehdi terraf | School of Information Sciences | deep learnig cnn rnn |
Elmira Mirzabeigi | Tarbiat Modares University | modeling AD, coefficients of PDEs, deep learning, system identification. |
Elnaz Nourollahimoghadam | University of Southern California | Aging, Harmonization, Longitudinal study, Alzheimer Disease |
Elnura Adigozalova | Akdeniz University | PET images |
Elodie Piot | GIN | Reproducibility |
Eloy García Pérez | Universidad Complutense of Madrid / Hospital CR | Artificial intelligence |
Elvan Karasu | Boğaziçi University | Artificial intelligence, conversion from MCI to Alzheimer’s |
Elveda Gozdas | Stanford University | Mild Cognitive Impairments |
Elvin Gonzalez | Albizu University | Dementia, Depression, Hispanic, White, daily activities,Cognitive impairment,age |
Elvira Brattico | University of Bari Aldo Moro | alzheimer's disease (AD), cognitive reserve, functional connectivity, fMRI |
Elvira Mayordomo | Universidad de Zaragoza | patogenicity prediction, mtDNA, haplogroups |
Elyn Rowe | University of British Columbia | biomarker, CSF, inflammation, vascular damage |
Emad Mohammed | University of Calgary | Machine learning |
Emal Lesha | Tufts University School of Medicine | ADNI |
Eman AbdElhalim | Mansoura University | alzeihmar |
eman bakr | student | project |
Emani Hunter | University of Pittsburgh | DTI, SWI, Alzheimer's Disease, Machine Learning |
Emanuel Azcona | Northwestern University | Graph convolutional networks, machine learning, MRI, graph signal processing |
Emanuela Molinari | University of Edinburgh | artificial intelligences; sequence recognition; quality assessment |
Emanuele Plini | Trinity College Institute of Neuroscience | Cognitie Reserve, Attention, Locus Coeruleus, Ageing, Cognitive Decline |
Emeka Nwosu | William Jessup University | machine learning |
Emil Vaihela | Turku University of Applied Sciences | Privasa |
Emilia Lu | Institute of Neuroscience and Physiology, University of Gothenburg | Alzheimer's disease, MRI analysis, SPM |
Emilia Rieschel | KTH Royal Institute of Technology | Alzheimers, Classification, Convolutional neural network |
Emiliano Santarnecchi | Harvard Medical school | ASL; Perfusion; PET correction; Cerebellum; Amyloid |
Emilie Delage | Université de Montréal | Semantic memory; Alzheimer's; identification |
Emilie Potts | Western University | Traumatic Brain Injuries, Neurodegenerative Diseases, Head Impact Mechanics |
Emilie Reas | UCSD | MRI, DTI, neuroimaging |
Emilio Artacho-Perula | University of Castilla-La Mancha | Alzheimer, Euclidean distances, MRI |
Emilio Cabañero | Universidad Autonoma de Madrid | degree project |
Emilio Cecchini | Univerity of Florence | deep learning,machine learning,3d,classification |
Emilio Cipriano | University of Pisa | Graph Theory |
Emilio Paspuel | Yachay Tech University | MRI |
Emilio Rossi Ferrucci | University of Oxford | Alzheimer |
emilse cardona | 43629684 | Alzheimer |
Emily Bove | Cogstate | Cogstate |
Emily Brenner | Vanderbilt University Medical Center | AD, FDG PET, Thalamic uptake |
Emily Carvajal | Universidad del Valle | preprocessing, standarization |
Emily Carvajal | Universitat de Girona | medical imaging, data, images |
Emily Edmonds | University of California, San Diego | Mild cognitive impairment; Neuropsychology |
Emily Getzen | University of Pennsylvania | integrative, imaging, omics |
Emily Godson | Personal Research Project | Data Science Research, Forecasting, Care Pathways |
Emily Johns | Stanford Medicine | PET Amyloid |
Emily Laltoo | Yale University | Small Vessel Disease, Biomarker, FMRI |
Emily Lin | no | image AID |
Emily Manning | UCL | testing |
Emily McKinley | University of Alabama at Birmingham | Amyloid, Stroke Belt, Alzheimer's disease |
Emily Pogue | Columbia University | Deep learning, Neural network, classifier, Alzheimers, term project |
Emily Reed | University of Southern California | stability, fractional-order systems |
Emily Rogalski | Northwestern University | FreeSurfer, Cognitive Aging, structural MRI |
Emily Rosenich | Monash University | vascular risk factors, cognition, APOE E4, dementia progression |
Emily Smith | UT Southwestern Medical Center | TBI, neuroimaging, MCI, Alzheimer's Disease |
Emimal Jabason | Concordia | Image Processing |
Emimal Jabason | Concordia University | Image Processing |
Emimal Jabason | Concordia University | Alzheimer. ADNI, Medical Image processing |
Emimal Jabason | Concordia | Deep Learning |
EMİNE AKPINAR | Yildiz Technical University | quantum computing, MRI, AI |
Emirhan Bilgiç | Istanbul Technical University | Early Diagnosis, Alzheimer's Disease, Dataset |
Emma Bluemke | University of Oxford | healthy ageing, neural networks |
Emma Boyd | University of California San Diego | MRI, ASL |
Emma Coen | Clemson University | research |
Emma Coomans | Amsterdam UMC, VUmc | Tau, PET, prognosis, cognitive decline, clinical progression |
Emma Laing | Eli Lilly | Bioinformatics analysis |
Emma Liu | Johns Hopkins University Applied Physics Laboratory | precision medicine, brain imaging, Alzheimer's |
Emma Mahon | University of Southampton | "Dementia", "Brain Imaging", "Artificial Intelligence" |
Emma McLachlan | University College London | Alzheimer's disease; delusions; hippocampal volume |
Emma Nichols | Johns Hopkins University | machine learning, brain imaging, MRI |
Emma Nichols | USC | cognition, psychometrics, bayesian |
Emma Prevot | University College London (UCL) | Alzheimer, disease progression, disease subtypes |
Emma Robinson | King’s College London | Generative, biomechanical, PET-MR |
Emma Sullivan | Carmel High School | Alzheimers disease, oxidative stress, abet and tau proteins, NF tangles, plaques |
Emmanouil Morfiadakis | Harokopio University of Athens | Deep Learning |
Emmanuel Jammeh | University of Plymouth | demenia, parkinsons, bioinformatics, machine learning, decision support systems |
Emmanuelle Weber | Stanford | Deep learning, neuromodulation, structural MRI |
emna khemiri | ESPRIT | Alzheimer's prediction , diagnosis , deep learning , university internship |
Emrah Gürlek | Istanbul University | machine learning |
Emre Durmaz | TOBB ETU | alzheimer, image processing, brain image, mri , bt |
Emre Hari | Istanbul University | Medial temporal lobe, Hippocampal formation, Hippocampal subfields, amygdala nuc |
EMRE SERTKAYA | SAMSUN ÜNIVERSITY | DEEP LEARNİNG |
Emrullah ERGUN | Universitad Politecnica de Madrid | Crow-search algorithm, Machine Learning, random forest |
En-Tao Liu | Guangdong General Hospital and Guangdong Academy of Medical Sciences | Alzheimer's disease;18F-FDG;18F-AV45 |
enae cheong | asan medical center | machine learning, reference |
Enamul Bhuiyan | University of Illinois at Chicago | PAIN, DWI, DTI, DKI, Functional connectivity |
Enas Salah | Minia University | Artificial Intelligence ,Machine Learning ,CNN ,Alzheimer's Disease |
Enayat Rajabi | CBU | Data analytics |
Enbo Wang | Wenzhou-Kean University | FYn9sL9kTtBYPxL@ |
Enda Xu | Zhejiang Lab | MRI parcellation radiomics |
Endeavour YANG | Macau University of Science and Technology | Business analytics dissertation |
Ender Eksioglu | Istanbul Technical University | MR reconstruction, undersampled k-space data, sparsity based MR reconstruction |
Ender Konukoglu | ETH Zurich | method development, machine learning, patio-temporal models |
Enes Ayan | Kırıkkale University | Alzheimer, Deep Learning, CNN, Medical Image Analysis |
Enes Ulaş Dinçer | Koç University | classification, deep learning, ML, machine learning |
Engr. Amin | COMSATS University Islamabad - Wah Campus | volume |
Enhui Xin | Fudan University | bone mineral density, AD |
Enkhkhurel Khurelbaatar | Mongolian National University of Medical Sciences | MRI standardized data sets, guideline for AD, MCI |
EnMin Liang | Shenzhen University | computer-aided diagnosis, brain network, deep learning |
Enming Guo | University of California,Irvine | Computer |
ennaji oumaima | AIAC | application - database |
ENOCH NUAMAH APPIAH | UNIVERSITY OF HULL | DEEP LEARNING, IMAGE ANALYSIS |
Enrica Cavedo | Qynapse | hippocampus |
Enrico Bruttomesso | MSC computer engineering student (Uninettuno International University) | alzheimer mri deep learning neural network dnn |
Enrico Fazzi | Università La Sapienza, Rome, Italy | Alzheimer's diseases classification |
Enrico Glaab | University of Luxembourg | machine learning, pathway and network analysis |
Enrique Mundul | Wake Forest School of Medicine | Alzheimer’s disease,MRI,brain |
Enshuo Li | Xuzhou Medical University | les1999@-@ |
Entong Li | University of Michigan | FIA, UPLC |
enyu Kan | Hebei University of technology | fmri brain network |
Enyu Li | Dalian Medical University | neuroimaging studies |
Enyu Li | Dalian Medical University | early Alzheimer's disease; white matter high signal; nerve fiber bundle |
Enyue Jia | Orzar | Alzheimer’s Disease |
Enzhao Zhu | Tongji University | Cox Proportional Hazards model analysis; AI; Deep Learning; diagnostic model |
Enzo Durand | Sorbonne Université | assignement student bioinformatics |
Eran Dayan | University of North Carolina at Chapel Hill | resting state, connectivity, machine learning |
ERDEM BALCI | Gazi University | PET, FDG, Amyloid |
Erdi Şenol | Mef üniversitesi | alzheimer,disease, image, segmentation, deep learning |
Erdoğdu Akça | Marmara University Pendik Training and Research Hospital | MCI, ALZHEIMER'S DISAESE |
Erdong Zhang | lanzhou | aging, alzheimer |
Erez Dor | Ben Gurion University | Telomere length, prediction |
erez simony | Holon Institution of Technology | fmri, computational technique, DMN |
Erfan Darzidehkalani | UMCG | Medical , deep learning, GANs |
Erfan HasanPour Khalesi | Mashhad University of Medical Sciences | T2*, QSM, MCI |
erfan mohammadi | dentalism | dentalism |
Erfan Naghavi | Tehran University of Medical Sciences (TUMS) | Neurology, Alzheimer's disease, Lipoproteins, Amyloid-Beta, Risk factor, Prevent |
Eric Aslakson | Poiema, LLC | adni transmart |
Eric Boerwinkle | The University of Texas Health Science Center at Houston | stroke, alzheimers, |
Eric Cao | Albert Einstein College of Medicine | AI, CNN, amyloid-beta |
Eric Chase | Synth LLC | data science, data analysis, machine learning, artificial intelligence |
Eric Chen | Indiana University School of Medicine | Tau, Braak regions, PET |
Eric Dao | University of Waterloo | Alzheimer's disease, Machine Learning |
Eric de Silva | University College London | polygenic risk scores; cardiovascular disease |
eric dhillon | univ of toronto | MRI volumetric analysis regional cortical white matter |
Eric Febles | Belmont University | Imaging, Genetics, FTD |
Eric Frankel | Stanford University | neuroimaging, gene expression, autism spectrum disorder, protein interaction |
Eric He | UNC | MIA |
Eric Ho | UCLA | social network analysis, item response theory, progression |
Eric John Payson | University of California, Los Angeles | student, PLSR, machine learning |
Eric Lim | Nanyang Technological University | Network modelling, Transductive personalised modelling |
eric lin | Shanghaitech University | Alzheimer’s disease identifying alogrithm, fMRI |
eric lin | Shanghaitech | Alzheimer’s disease, fMRI, re-implement algorithm |
eric macías | Instituto de Ingeniera del Conocimiento | Big Data, Artificial intelligence |
Eric Markley | UC Berkeley | Infill |
Eric Minikel | Broad Institute | prion |
eric Nguyen | cal poly pomona | 13 |
Eric Peterson | University of Tulsa | GWAS, deep learning, SNP, prediction, supervised learning |
Eric Twum | George Mason University | Alzheimer’s, machine learning, physiologp |
Eric Twum | George Mason University | Alzheimer’s, machine learning, physiologp |
Eric Vidoni | University of Kansas Medical Center | amyloid; cognition; latent variable |
Eric Wang | University of Virginia | Computer vision, Machine learning, Neural Network, Alzheimer's disease, Dementia |
Eric Westman | Karolinska Institutet | MRI, biomarkers, diagnosis, prediction |
Erica Balboni | University-Hospital Company of Modena | Hippocampal Segmentation Deep Learning |
Erica Balboni | University of Modena and Reggio Emilia | T1-weighted |
Erica Cruz | Old Dominion University | Machine Learning, Deep Learning, Alzheimers Disease |
Erica Lasaracina | Politecnico di Bari | AI |
Erica Qian | Carnegie Mellon University | Machine Learning, Healthcare |
Erica Tan | Auckland of University | MRI, deep learning, early detection |
Erick Platero | University of Houston-Downtown | Deep Learning, Alzheimers, Research, Neural Networks |
erik cai | wenzhou university | multimodal neuroimaging |
Erik Fagerholm | King's College London | gyrification index |
Erik Kaestner | University of California San Diego | Cortical Thickness, Temporal Lobe Epilepsy |
Erik Middlebrooks | Mayo Clinic | Thalamus |
Erik Ohara | University of Calgary | Causality, Alzheimers, dementia, deep learning |
Erik Portelius | Institute of Neuroscience and Physiology | Neurogranin, Alzheimer's disease |
Erik Roberson | UAB | biomarkers |
Erik Taylor | The University of New Mexico | brain; generative; MRI |
Erik Westberg | Halmstad University | ROI, Classification, CNN |
Erika Bodwell | Texas A&M University | Alzheimer's, Machine Learning, MRI |
Érika Espindola | IESB | Machine learning, Alzheimer, Classification |
Erika Hamakami | Universidade Tecnologica Federal do Parana | MRI Data; Deep Learning; Student |
Erim Erkin Doğan | Bogazici University | benchmark, machine learning, deep learning, performance, |
Erin Bennett | The George Washington University Milken Institute School of Public Health | generalizability, epidemiology |
Erin Beveridge | Canon Medical Research Europe | Brain segmentation, neurodegenerative disease, machine learning |
Erin Craig | Stanford University | survival analysis, statistical methods |
Erin Drazich | University of Sussex | DTI, MCI, AD |
erin gibson | Sunnybrook Health Sciences Centre | white matter hyperintensities, segmentation, deep learning |
Erin Harrell | University of Alabama | cognitive decline, hippocampal volume, inflammation, interleukin-6, memory |
Erin Householder | Washington University School of Medicine | : As the coordinator for the ADNI NPC I will be responsible for collecting ADNI |
Erin Jonaitis | University of Wisconsin-Madison | education, reproducibility, open science, computing |
Erin Liu | Nanjing University of Posts and Telecommunications | 326326acb |
Erin Mazerolle | St. Francis Xavier University | resting state fMRI, functional connectivity, replication, reproducibility |
Erin Rosenbaugh | Foundation for the National Institutes of Health | FNIH Biomarkers Consortium, Longitudinal CSF Proteomics & Plasma Abeta Projects |
Erin Sjostrom | Medidata Solutions | machine learning algorithms, big data analytics, risk based quality management |
Erin Sundermann | Albert Einstein College of Medicine | sex differences, PET, cognitive reserve, neuropathology |
Erind Alushaj | Western University | QSM, MRI, Brain iron |
Eriza Aminanto | University of Indonesia | classification, alzheimer |
Erkun Yang | University of North Carolina at Chapel Hill | medical image analysis and segmentation |
Ernest Fraenkel | MIT | machine learning, AI |
Ernest Fung | Cogstate | Alzheimer's disease, clinical trials, CNS drugs |
EROL YILDIRIM | Istanbul Medipol University | neuropsychological tests, factor analysis |
Ersan Yazan | Adiyaman University | registration |
Ersin ERSÖZLÜ | University of Munich (LMU) | cognitive reserve, alzheimer disease |
Ervine Zheng | Rochester Institute of Technology | image understanding |
Esa Pitkänen | University of Helsinki | alzheimer’s, machine learning, deep learning, genetics, genomics, MRI, PET |
Esha Cyril | Pioneer Academics | highschooler, neural networks, ADNI data |
Esha Srivastava | Northeastern University | Topological Data Analysis, Neurodegenerative Disease |
Eshan Bhargava | University of California, San Francisco | Graph Convolutional Neural Network, |
esi pighool | karimian | MRI |
Esin Ozturk Isik | Bogazici University | machine learning, mild cognitive impairment, Alzheimer's disease dementia |
Eske Gertje | Skane University Hospital/ Lund University | publishing rights |
Esma Mansouri-Benssassi | Fujitsu Research Europe | Fairness, Ethics, AI |
esmael zaroori | Iran University of Science and Technology | prediction |
esmael zaroori | Iran University of Science and Technology | prediction |
esmaill hasanzadeh | Tarbiat Modares University | radiogenomics |
Espen Knut Trydal | Stavanger University Hospital | MRI,fMRI, Alzheimer's disease, dementia |
ESRA GÜLAY | ERCİYES UNIVERSITY | Alzhemier, fMRI |
Esra Sivrikaya | Akdeniz University | alzheimer,deep learning, PET, transfer learning |
esra Zihni | TU Dublin | predictive modeling, 3D imaging |
Esraa Alyoubi | king abdulaziz university | Machine Learning , Brain template ,hippocampus,Convolution neural network. |
Esraa Ebrahem | Higher technological institute | AD |
Esraa Mohamed | faculty of engineering | MCI,LMCI,AD |
Esraa mostafa | Mansoura University | deep learning models, academic project |
Essang Akpan | University of Pittsburgh | lateralization, asymmetry |
Esten Leonardsen | University of Oslo | machine learning, mri |
Esther Bron | Erasmus MC | Classification |
Esther Choi | Boston University | Alzheimer's Disease, Computational Neuroscience |
esther ngan | UT Health Science Center at Houston | continuous time markov chain |
Esther Robb | Stanford University | neuroimaging, gcn, rnn |
Estrella Morenas-Rodriguez | DZNE - Munich | Glial activity, obesity, neurodegeneration, Alzehimer´s Disease |
Ethan Atlan | Madison International School | AD, MRI, PET, beta-amyloid, genetic treatments |
Ethan Cho | Weill Cornell Medicine | Hearing loss, Alzheimer's Disease, ASL-MRI, Inflammation, Small Vessel |
Ethan Ocasio | Stonybrook University | longitudinal, conversion, disease progression, prediction |
Ethan Samson | McMaster University | Fractal dimension, Alzheimer's Disease, MRI, PET, DTI, rsfMRI |
Ethan Smith | University of Florida | diffusion, MRI, perfusion, NLP |
Eu Joe Chegne | University of Queensland | Binary Classification, Perceiver Transformers |
Eufemia Lella | Università degli Studi di Bari | Graph, Brain networks, aging biomarkers, Brain Connectivity |
Eugene Zheng | Nankai University | SNP |
Eugenio Fava | DZNE | inflammation, AD, MCI |
Eugenio Sánchez | Qubiotech Health Intelligence S.L. | DWI, Magnetic Resonance, difussion, tensor, imaging |
Eui-hyun Bhae | korea advanced institute of science and technology | deep learning, Alzheimer's disease |
Euijung An | Kyungpook National University Hospital | brain degenerative disorder |
Euisung Kim | Hanyang University | AI, machine learning, deep learning, neuropsychology test |
Euiyoung Oh | Gwangju Institute of Science and Technology | Multiomics |
Eun Hye Lee | Ewha Womans University Seoul Hospital | biomarkers |
Eun Hyun Seo | Chosun University | PET, DTI, fMRI, APOE e4, brain network, Neuropsychological tests |
Eun Jeong Min | The Catholic University of Korea | tensor, image analysis |
EUN SUB SONG | K-MEDI hub | alzheimer disease, parkinson disease |
EUN WOO KIM | YONSEI UNIVERSITY | Alzheimer, diabetes |
Eun Young Choi | Stanford University | thalamus, rsfMRI |
Eun-Cheon Lim | Chosun University | deep learning, dementia |
Eunchan Bae | University of Pennsylvania | Segmentation |
Eunice Chin | Lee Kong Chian School of Medicine | Biomarkers, Metabolites, Plasma, Dementia, Disease progression |
Eunjee Lee | Chungnam National University | Survival analysis, CCA, functional connectivity |
Eunji Jun | Korea University | classification |
Eunjin Yoon | Seoul National University | Single-level metabolism map, REM sleep behavior disorder, Lefwy body disease |
Eunpyeong Hong | vuno | AI, deep learning |
Eunsong Kang | Korea University | fMRI, sMRI, DTI, Connectivity |
Eunsung Kang | Amyloidsolution | lipid metabolism |
EunYoung You | KIST | Brain Age |
Eva Bacas | University of Pittsburgh | student project, alzheimer's, neuroimaging, machine learning |
Eva Bus | Vrije Universiteit Amsterdam | Machine learning; Supervised machine learning; Prediction |
Eva Bus | Vrije Universiteit Amsterdam | Machine Learning; Prediction; Two-stage model |
Eva Cheung | University of HK | MRI PET AD MCI |
Eva Rebec | FMF UNI LJ | AD, FDG-PET, SSM/PCA, ADRP, ADNI |
Eva Sophia Rickers | Uniklinik Koeln | diagnostic value of microangiopathy burden in cognitive impairment |
Eva Zborovska | University of Strathclyde | Depression, MRI, Symptoms |
Evan Bergen Epstein | Northwestern University | Alzheimer's disease, machine learning, tau |
Evan Fellman | Carnegie Mellon University | deep learning |
Evan Finkel | Georgia Institute of Technology | Alzheimer's, Machine Learning |
Evan Fletcher | UC Davis | MRI machine learning autoencoding |
Evan Hare | University of Southern California | Early Detection, Amyloid-Negative, TDP-43, Amyloid, Tau, Biomarker |
Evan Henley | Auburn University | Dementia, Alzheimers, Machine Learning, Predictive Analytics |
Evan Powers | Scripps Research | proteostasis, protein folding, chaperones, autophagy, ubiquitin-proteasome syste |
Evan Schwab | Philips Research | DTI, Tractography |
Evan Williams | Carnegie Mellon University | replication |
Evana Eiti | Hajee Mohammad danesh science and technology university, dinajpur | Alzhimers disease |
evana eiti | Hajee Mohammad danesh science and technology university, dinajpur | Alzhimers diseases |
Evangelos Chartampilas | AHEPA University Hospital Thessaloniki | JadBIO Machine learning dementia |
Evangelos Fragkiadakis | National and Kapodistrian University of Athens | ANN, AD Disease,Input: PET, Output: Healthy Brain Matter % |
Eveline Zang | Gansu Provincal hospital | neurology, Alzheimer's Disease |
Evelio Gonzalez | CNEURO | MRI, hippocampus |
Evellyn Soares Cavalcante | Federal University of Minas Gerais (UFMG) | machine learning healthcare Alzheimer |
EVEN summer | University of Science and Technology Beijing | summerEVENsummer |
EVGENIA KATIRTZOGLOU | NATIONAL AND KAPODISTRISN UNIVERSITY OF ATHENS | Neuropsychiatric symptoms, activities of dialy living, MCI, AD dementia |
Evgeniy Kuznetsov | Petro Mohyla Black Sea National University | Movies, Films, Famous and New Movies |
Evgeniy Nikitin | New York University | neural networks, Alzheimer's disease |
Evgeniy Pavlovskiy | Novosibirsk State University | MRI, Brain Tumor, Classification |
Evgeny Chumin | Indiana University-Bloomington | connectivity, tau, graph theory. |
Evi Huijben | Eindhoven University of Technology | synthesis |
Evi Sijben | Radboud University | Interpetable Machine Learning, Shapley values, Causality |
Ewout Huisman | Rijksuniversiteit Groningen | Machine learning, Alzheimer |
Exam Only | Pinnamaneni Siddhartha Medical College | Alzheimer disease, Image processing |
eya aloui | enstab | data set predict alzheimer |
Eylül Küpcü | University Of Helsinki | cat12 vbm |
Eylul Sahin | Sabanci University | machine learning, research, early alzheimer's diagnosis |
EYONG RUDDY NTUI-ASSAM | TEESSIDE UNIVERSITY | autophagy, GWAS, alzheimer's |
Eyup Hanbay | inönü üniversitesi engineering faculty | alzheimer |
Eyþór Einarsson | Haskoli Islands | Deep Learning, Brain Age, Machine Learning, MRI |
Ezequiel Gleichgerrcht | MUSC | Neurology, connectom |
F XY | nankai University | machine learning |
F. M. Javed Mehedi Shamrat | Daffodil International University | Deep Learning, Image Processing, Alzheimer, ADNI |
Fabian Fullone | Universidad Argentina de la Empresa | data |
Fabian Heudorfer | Technical University Regensburg | defacing/ refacing data anonymization |
Fabian Hörst | University Hospital Essen | Ventricula System |
Fabian Humberto Fonseca Aponte | Sapienza Università di Roma | Adversarial learning, auto-context model, MRI, image synthesis |
Fabian Reith | MDC Berlin | Machine learning, deep learning, Alzheimer's disease, tau hypothesis |
Fabián Suárez Ardila | Icesi University | Machine learning, DTI, BvFDT, AD, classification |
Fabian Wenzel | Philips Research | PET analysis |
Fabio Frangiamore | university of Milan Bicocca | Alzheimer, CNN, deep learning |
Fabio Martínez | Universidad Industrial de Santander | deep learning, attention mechanism, image analysis |
Fabio Raman | University of Alabama at Birmingham | amyloid-PET, FDG, equivocal |
Fabiola Macruz | Hospital das Clinicas da Faculdade de Medicina da USP | Deep learning |
Fabiola Vazquez Freijeiro | National Institute of Psychiatry Ramon de la Fuente | Mild Cognitive Impairment. rTMS. Neuromodulation. |
Fabrice Vincent | Medpace | MRI,Biomarkers,AD,Quantification |
Fabricio Garrafiel | PUCRS | Hippocampus, SCHELTENS |
Fabrizio Pizzagalli | University of Southern California | AD prediction; MRI; Gyrification; resting-state networks. |
Fabrizio Ravelli | Università degli studi del Molise | Deep learning |
Facundo Calcagno | Servier | VOLUME CALCULATION |
Fadhila Tlili | ISIMS | Alzheimer , CNN |
Fadhila Tlili | ISIMS | neuroimaging |
FADHL ALAKWAA | MICHIGAN UNIVERSITY | drug discovery , drug repurposing |
Fadi Farhat | NJIT | deep learning, machine learning, classification |
Fadi Thabtah | University of Huddersfield | Dementia; Medical Diagnosis; Machine Learning; Statistical analyses |
Fadilla Yahya | Institute of Technology Bandung | Alzheimer |
Fadime ÖZEREN | İstanbul Gedik University | superpixel algorithms, MR images |
Faeza Kamran | Shaheed Zulfiqar Ali Bhutto University of Science and Technology (SZABIST) | Alzheimer's Disease Prediction |
faeze lotfi kazemi | aut | FMRI |
Faezeh Ghaemdoust | Tehran University of Medical Sciences | Alzheimer's |
Fahad Ahmed | Szabist University | computer vision, alzheimer’s disease, brain, mri |
Fahad Almuqhim | Florida International University | Alzehimers, brain disorders |
Fahad kamal | Beni suef university | AI |
Fahim Shahriar | American International University Bangladesh | Alzheimer's Disease,MRI imaging,Deep Learning,ADNI-1,ADNI-2,ADNI-3,ADNI Datasets |
Fahima Hossain | Hamdard University Bangladesh | Brain Disease, Alzheimer's, Identification, Deep Learning |
Fahimeh Ahmadi | Bushehr University of Medical Sciences | Alzheimer disease, Mild cognitive impairment, prefrontal cortex and hippocampus |
Fahimeh Nezhadmoghadam | Tec de Monterrey | Unsupervised learning techniques, Obesity, discovery disease subtypes |
Fahimul Alam | CHITTAGONG UNIVERSITY OF ENGINEERING & TECHNOLOGY | Medical, Dental, EEG |
Fahmeed Hyder | Yale University, MRRC & QNMR | cortical energy budget, neuropil density |
Faiaz Rahman | Yale University | deep learning, convolutional network, attention, yale |
Faisal Ahmed | University of Texas at Dallas | TDA |
Faisal Alharbi | University of Bristol | Natural Language Processing, Transfer Learning, Multi-Modalities, Machine learni |
Faisal Bin Kashem | University of Dhaka | Alzheimer's; MRI; Neuroimaging; Transfer Learning; Deep Learning |
Faisal Mehmood | Gachon University | Alzheimer Disease, 3D MRI, Vision Transformer |
Faith Ideji | Leeds Beckett university | Dementia |
faiza Ayyob | university of okara | Alzheimer's Disease |
FAIZAH ANSARI | MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA | RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION |
Fakhri Ayadi | Ecole supérieure privée d'ingénierie et de technologies | CNN ,AD,MCI,LMCI,MCI,CN,Fichier csv , File csv (Column : Alzheimer /non alzheim) |
Falih Febrinanto | Federation University Australia | Graph Learning, Disease Detection, Classification |
Fallah H. Najjar | Al-Furat Al-Awsat Technical University | ADNI |
Fan Bi | New York University | machine learning, screening |
Fan Dong | Indoc Research | data platform, imaging processing, neuroinformatics |
Fan Fan | Zhongnan Hospital of Wuhan University | Alzheimer's Disease, deep learning, MRI, multi-model |
Fan Gao | Caltech | bioinformatics |
Fan Gao | Beihang University | paper writing |
Fan Geng | Southeast university | Alzheimer's disease |
fan he | Anhui universitye | mixup+fmri |
Fan Huang | The University of Hong Kong | Deep learning, medical image analysis |
Fan Liming | XJTU | fsl |
fan liu | Chinese Academy of Sciences | patient similarity;alzheimer |
fan long | UIH | standardization |
Fan Shengyu | Northeast University | Brain age estimation |
Fan Shitang | Tianjin University | Machine learning, deep learning, Alzheimer’s disease, multi-component feature |
Fan Shitang | Tianjin University | Machine learning, deep learning, Alzheimer’s disease, multi-component feature |
Fan Yang | Shanghai University | AD, functional brain networks |
fan yang | Xidian University | fMRI,MRI |
Fan Yi | Zhejiang University | multi-modal, pre-train |
fan zhang | University of Science and Technology of China | deep learning |
fan zhang | Southwest Minzu University | MRI Deep learning |
Fan Zhang | UNTHSC | machine learning, biomarker discovery |
fan zhonghao | Xidian University | study |
Fanco Cai | CQ | 1 |
Fang Chen | jackson state university | image deep learning Alzheimer's |
fang kunlun | 山东师范大学 | sdnu |
Fang Long | Northwestern Polytechnical University | predict AD,longitudinal |
Fang Qian | Shanghai Maritime University | Alzheimer's disease (AD);Prognostic signature; Pathway crosstalk; |
fang qian | The First Affiliated Hospital of Anhui Medical Universi | AD |
Fang Shu | Stanford University | project |
Fang Wenli | Sun Yat-sen University | AD MCI MR |
fang yan | Shanghai AI Lab | MIA |
Fang-cheng Yeh | University of Pittsburgh | Tractography,Medical image analysis,MRI |
Fangda Leng | Imperial College London | neuroinflammation; structural change |
Fangda Leng | Peking University | Multimodal imaging, deep learning, attention networks |
FangFeng Li | Guangzhou Xinhua University | survival analyse |
Fanghong Dong | Hebei University | dementia, cognitive |
Fanghui Zhao | Beijing Institute of Technology | MRI |
FANGJUN LI | The First Affiliated Hospital of Nanchang University | battle |
Fangkai wu | National Univerisity of Singapore | Functional Data Analysis, High Dimensional Data Analysis |
FANGKAI WU | National University of Singapore | Functional Data Analysis, Deep Neural Network |
Fanglin Weng | China Pharmaceutical University | Alzheimer's disease, ketones, metabolism |
Fangmei Hou | Southwest University of Finacial & Economics | FDA causal inference statistics |
Fangqi Cheng | The university of Glasgow | Deep learning |
Fangsen Xing | Zhejiang University of Technology | classification super-resolution |
Fangyao Chen | Xi'an Jiaotong University Health Science Center | influential factor; Alzheimer's disease;longitudinal analysis |
fangyi chen | Hebei University of technology | classification tasks |
Fangyuan Hu | The Second Military Medical University | Radiomics-based model; Alzheimer’s disease; Support vector machines |
Fangyuan LEI | Guangdong Polytechnic Normal University | Graph Neural Network |
Fangzheng Chen | Shanghai Jiaotong University School of Medicine Ruijin Hospital | cognition AD |
Fangzheng Lin | Fudan University | advanced statistical method; high-dimensional; risk factors; |
Fangzhou Zhu | hefei university | AD预测 |
FANJIE MENG | Canon Medical Systems (China) | automatic anatomy detection |
fanny elahi | UCSF | Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics, |
FANPING TANG | National Taiwan University | registration |
Fanwei Meng | Nankai University | Alzheimer's disease, imageomics |
Fanwei Meng | Nankai University | Alzheimer's disease, imageomics |
Fanzhe Yan | University Of Science And Technology Of China | @yfz123789 |
farah aslam | University of engineering and technology,lore | research |
FARAH DIYANA MOHAMAD FAUZI | UiTM SHAH ALAM | ALZHEIMERS |
Farah Mohammad | King Saud University Riyadh | Medical Imaging, Alzheimer, Disease Prediction |
farahnaz jafari | babol noshirvani university of technology | Alzheimer |
FARAMIDA ARSHAD | MULTIMEDIA UNIVERSITY | fara |
Faraz Nizamani | Institute of Media Informatics, Ulm University | Deep Learning, Superresolution |
Fardin Nabizadeh | Iran university of medical science | Imaging |
fares elsalamony | The British University in Egypt | brain tumor, brain cancer, alzheimer's disease |
Fares Khechana | ESPRIT | Alzheimer, Machine Learning |
Fares Waheed | Faculty of engineering Alexandria university | Graduation project, |
Farhad Hamidzadeh | Iran University of Science and Technology | Research |
Farhad Navabifar | azad | Alzheimer DeepLearning |
Farhad Pourpanah | Shenzhen University | classification |
Farhan Akram | Khalifa University | Alzheimer, early prediction, convolutional neural networks, deep learning |
Farhan Angan | BRAC University | Alzheimer, Deep learning |
Farhan Angan | BRAC University | Alzheimar, Deep learning |
Farhan Anjum | University of Management and Technology | CNN |
Farhan Mohammed | University of Technology Sydney | Alzheimer's disease, image classification, MRI |
Farhan Rahman Arnob | University Of North Texas | phenogeneranker |
Farhan Ujager | De Montfort University | Deep Learning, Smart healthcare, Alzheimer, Wellness determination |
Farhana Islam | BDU | CNN, SVM, KNN, Machine Learning |
Farhana Islam | Bangabandhu Sheikh Mujibur Rahman Digital University, Bangladesh | Alzheimer's, machine learning |
Farheen Ramzan | UET Lahore | AD, MRI |
Farhia Wanda Shafira | Airlangga University | asl |
fariba tabrizi | Tarbiat modares university | Deep learning , image, classification |
FARID RAJABLI | University of Miami | Ancestry, Polygenic risk score |
Farida Korna | Boston University | Alzheimer's, Imaging, Detection |
Farideh Bazangani | Aix Université Marseille | machine learning |
Farideh Jamali | Tarbiat Modares | ADNI |
Farideh Momeni | Isfahan university of medical sciences | magnetic resonance imaging |
FARIHA ALAM | university teknologi malaysia | neuro imaging, data process, neuroscience, |
Fariha Alam | Chittagong University of Engineering & Technology | Monte Carlo, Alzheimer, Biomarker |
Farima Moghaddam | Sahand University of technology | Deep learning, Alzaimer disease, connectivity |
Farinaz Roshani | Alzahra Uni | FMRI, EEG |
Farinaz Roshani | Alzahra Uni | Alzheimer EEG |
Farnaz Gharedaghi | Tabriz university | PET/ MRI super resolution |
Farnaz javanpour | Tabriz university | 23456543 |
Farooq Kamal | National Research Council | Cerebrovascular disease, aging, cognitive decline prediction, AD |
Farouk Nathoo | University of Victoria | space-varying regression, high-dimensional regression, regularization |
FAROUQ SADIK BASHIR | DIT UNIVERSITY | Alzheimer |
Farras Nabil | Brawijaya University | computer vision |
Farras Nabil | Brawijaya University | computer vision, neural network |
Farsad Zamani Boroujeni | Islamic Azad University, Isfahan (Khorasgan) Branch | multimodality imaging, Deep learning, Alzheimer disease |
FARSANA F J | DIGITAL UNIVERSITY KERALA | Oxegen Extraction Fractions, Hypoxia, MCI |
Farshad Goharmanesh | Shiraz Uni of Medical Sciences | MCI, Alzheimer, fMRI |
Farshid Hajati | Victoria University | Alzheimer's disease, predictive modeling, machine learning, early detection |
Farshid Sepehrband | University of Southern California | ADNI TADPOLE |
Farshid Sepehrband | Regeneron Pharmaceutical Inc. | MRI, PET, clinical, genetics |
Faruk Fakih Safadi | The University of Manchester | Machine learning, deep learning, AD, university, research, computer vision |
Faruque Reza | University Sains Malaysia | Alzheimer's Disease, Biomarkers, PTSD |
Farwa Batool | UET Lahore | Alzheimer, Machine Learning, classification |
farzad alizadeh | tums | fmri,deep learning |
farzan abbasnejad | Isfahan university of Technology | fMRI, SPM, SVM, ANN |
FARZANE RAMEZANI | TEHRAN UNIVERSITY | 18f florbetaben pet Fbb pet Alzheimer’s disease Cognitive decline Amyloid B |
Farzane Salami | University of Tehran | Alzheimer |
Farzaneh Barzkar | Iran University of Medical Sciences | dementia, marker, neurocognitive assessment |
Farzaneh Dehghani | University of Esfahan | Alzheimer's disease, deep learning |
Farzaneh Nikparast | Masshad University of Medical science of iran | 8693700f |
farzaneh sadeghiyan | Tafresh University | disease diagnosis |
Farzaneh Yazdani | SBU | alzheimer's disease, false memory |
farzaneh yeganehdoost | shiraz university | Alzheimer,deep learning |
Faseeh Ahmed | IIT Madras | Alzheimer's Disease, Deep Learning |
Faseni Fakoya | Ulster University | Data Science |
fatema almawed | damascus | MRI images of alzaheimer disease |
fatemah sakr | German center for neurodegenerative diseases/ Rostock | lipidomics, Imaging markers |
Fatemah Sakr | DZNE/ Rostock university | lipidomics markers |
Fatemah Shenasa | UC Irvine | Alzheimer's Disease, Systematic Disease |
fateme afsharian | persian gulf university of Bushehr Iran | Alzheimer biomarkers |
fateme ahmadi | amirkabirunivercity | mri t1 |
fateme khoshnodi | amirkabir university of technology | Features extraction , Alzheimer disease, processing the brain MRI images |
Fateme Razmgir | Razi university of kermanshah | alzheimer |
Fatemeh Abadian | Iran University of Science and Technology | Deep learning, Weakly supervised, Classification, MRI |
Fatemeh Ahmadi | Amirkabir University of Technology | Alzheimer's disease-Ricci flow-Conformal Geometry |
Fatemeh Amanzadehsalut | Alzahra | Alzheimer’s disease |
fatemeh arghavan | semnan university | Alzheimer's disease diagnosis , MRI images |
fatemeh arghavan | semnan university | Alzheimer's disease diagnosis , MRI images |
Fatemeh Asadi | Tehran universityof medical sciennce | Alzheimer, machine learning |
Fatemeh Bagheri | University of Toronto | 1.5T MRI image, 3T MRI image |
fatemeh bahadoran | babol noshirvani university of technology | alzheimer neural network |
fatemeh boluk | University of Zanjan | Thesis. Diagnosis of Alzheimer's disease. Artificial intelligence. |
fatemeh ghanad | payamenoor | Alzheimer disease, classification |
Fatemeh Goudarzi | iautmu | alzeimer/ fmri |
Fatemeh Haghighi | Arizona State University | Medical Imaging, Brain, Transfer learning, Self-supervised learning |
Fatemeh Karami | Islamic Azad University, Tehran Science And Research Branch | Alzhimer's disease, Python Analysis, Gene mutation |
Fatemeh Mahmoudi | University of Calgary | Competing Risks, Censored Data, Data analytics, Regression, Modeling. |
Fatemeh Mohammadi | Concordia University | AD, PET, Tau Protein |
Fatemeh Mohammadian | Mashhad university of medical science | image processing |
fatemeh mousavi | Iran university of medical student | Alzheimer |
Fatemeh Mousazade | T | T |
fatemeh mousazadeh | kermanshah university | 981010 |
Fatemeh Naderi | Ferdowsi University of Mashhad | alzheimer's disease,deep learning , neuroimaging , FMRI , MRI , PET , CNN |
fatemeh pourmotahari | Shahid Beheshti University of Medical Sciences | Bayesian modeling |
Fatemeh Rouzbeh | Purdue University | Image processing framework, health data, cloud native |
Fatemeh Safari sarvandi | imam khomeini international university | Cognitive science - bioinformatic data - science |
fatemeh shahsavari | Babol Noshirvani University of Technology (NIT) | contrastive learning |
Fatemeh Yavartanoo | Seoul National University | Alzheimer disease, cognitive disorder, Deep learning |
Fatemeh zahra Seyed kolbadi | Hormozgan university of medical sciences | neuroimaging, DTI, Fmri, MRI, AD |
FatemehSadat Mirfazeli | Iran University of Medical Sciences | alzheimer , cognitive biomarker , dementia |
Faten Aldhafeeri | University of Hafr Albatin | cortical thickness, grey matter, white matter |
FATHIMATH SHAMNA | CENTRAL UNIVERSITY OF KERALA | A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification |
fati moridi | Islamic Azad University | research |
Fatih Hamza | Izmir Institute of Technology | Neural network, Alzheimer, MRI, PET |
Fatih Veysel Nurçin | Near East University | machine learning, artificial intelligence, early detection |
fatima alshehri | KSU | Ff19811981 |
Fatima Babar | G.C. Women university,sialkot | neuroimaging |
Fatima Koroma | Applied Physics Laboratory | data science, precision medicine, brain imaging |
Fatima Malik | Lahore College for Women University | FMRI , AD, NC |
fatima nasrallah | the University of Queensland | centrality, FDG, MCI, AD |
Fatima Yousaf | Bahauddin Zakariya University, Multan, Pakistan | BRATS, ISLES, ADNI |
Fatin Hanoon | University of Basrah | Alzheimers |
Fatin Zainul Abidin | University College London | Hearing Genomics Cognition |
Fatma Dila AKSONGUR | Yeditepe University | alzheimer disease, artificial intelligence |
Fatma Eltashani | The University of Manchester | Alzheimer's, dementia, AI, machine learning, health |
fatma hammami | Esprit | Machine learning, algorithm, |
Fatma Mnif | ENETCOM | alzheimer's |
fatmaelzahraa sayed | Itc assuit | Alzheimer disease |
Fausto Roveta | University of Turin | Alzheimer's disease, Synaptic dysfunction |
Fauziah Reza Oktaviyani | Trunojoyo University | ADSI Dataset for My Thesis |
Fayez Azeez | Our Memos Inc | cognitive decline |
fayroz farouk | electronics research inistitute | APOE, multistate markov model |
Fayyaz Ahmad | UNIVERSITY OF GUJRAT | SPM, FMRI |
Fayyaz Ahmad | UOG | fMRI, SPM,ANALYSIS |
Fazal Ur Rehman Faisal | Chosun University | Medical Image Processing |
Fazel Amirvahedi | University of Tehran | blood biomarker |
Febin Antony | Christ (Deemed to be University) | MRI, PET, Alzheimer's Data, Gray Matter. CSF |
Fedal Saini | King's College London | Down Syndrome, Alzheimer Disease, Structural connectivity, Functional connectivi |
Federica Bencivenga | University of Roma "La Sapienza" | connectivity, fMRI, resing-state networks |
Federica Ribaldi | University of Geneva | Amygdala atrophy; TDP-43; LATE |
Federica Spani | Università Campus Bio-Medico di Roma | shape variation; GPSA |
Federico D'Agata | University of Turin | hippocampus; machine learning |
Federico Ferrari | Duke University | Cox Model, Interaction Estimation |
Federico Libertun | UTN | Learn |
Federico Nemmi | Inserm | multimodal imaging, multivariate analysis, discrimination, prognosis |
Federico Raimondo | Forschungszentrum Jülich | Machine-Learning, Aging, Biomarker |
Federico Rodriguez | Universidad Francisco de Vitoria | Algorithm |
Federico Rodriguez-Porcel | Medical University of South Carolina | Aphasia; Alzheimer disease, Connectomics |
federico zanghi | University of Padua | Lasso |
Fedor Levin | DZNE | hypometabolism, subtypes, longitudinal cognitive trajectories |
fei han | Shanghai Maritime University | ml |
Fei He | Sichuan University | MRI data; automatic diagnosis system; multi-modal data |
Fei Jiang | The University of California, San Francisco | dynamic functional connectivity, resting state |
Fei Li | College of Science, Zhejiang University of Technology | nonlinear causality analysis |
Fei Li | College of Science, Zhejiang University of Technology | nonlinear causality analysis |
Fei Liu | Anhui University | MRI, Alzheimer’s disease diagnosis |
Fei Ma | Qufu normal university | Image Analysis |
Fei Pan | SJSU | neuropsychological, Alzhemier |
fei shen | shanghai University of Science and Technology | study |
Fei Xue | University of Illinois at Urbana–Champaign | Partial correlation, variable selection, tensor regression |
Fei Yu | Hangzhou Normal University | Alzheimer's disease,deep learning,fMRI |
Fei Zhao | Liaoning University of Science and Technology | Research |
fei zheng | south-central uniwersity for nationalities | 0GO72 |
feifei gao | Beijing University of Posts and Telecommunications | AD disease Brain Genome |
Feifei Ge | The Affiliated Brain Hospital of Nanjing Medical University | Alzheimer's disease; clinical; Thyroid immunity |
feifei geng | Emory University | Perivascular Spaces Segmentation |
feifei wang | Yantai university | Research on Alzheimer's disease based on machine learning |
Feifei Zang | Southeast University | default mode network; cholesterol; Alzheimer's disease |
feihong li | NanChang university | research ADNI |
Feihong Liu | Shanghaitech | Classification, data analysis, and prototype construction. |
FeiPeng Xiao | Guangdong University of Technology | multimodal,Medical analysis |
Feixiong Cheng | Cleveland Clinic | artificial intelligence (AI); radiogenomics; Alzheimer's genomics |
Feiyan Feng | Shandong Normal University | Alzheimer’s disease, Multimodal fusion, Deep learning |
Felicia Burtscher | University of Luxembourg | biomarker |
Felicia Goldstein | Emory University | task engagement, recognition memory, normal cognition, MCI, AD |
Felicitas Windhagen | le wagon | image recognition, dementia |
Felipe Alarcón | UNIVERSIDAD DE LOS ANDES | rs-fMRI, resting state, mild cognitive disease, alzheimer |
Felipe Gaitan | Universitat Pompeu Fabra | mri super resolution |
Felipe Giuste | Emory University | Neuroimaging, Machine Learning, Neuroinformatics |
Felix Ambellan | Zuse Institute Berlin | Disease classfication, Statistical shape analysis, Manifold valued statistics |
Felix Bitzer | University Hospital Bonn | FDG PET, epilepsy |
Felix Dumais | Université de Sherbrooke | AI, arteries, vascular |
Félix Fanjul-Vélez | University of Cantabria | Alzheimer, dementia, image analysis |
Felix Frombach | Karlsruhe Institute of Technology (KIT) | AI-based platform, Risk factors, Prevention |
Felix Hensel | ETH Zurich | machine learning |
Felix Hoffstaedter | Research Center Jülich | hemispheric asymmetry, VBM, surface analysis |
Felix Indra Kurniadi | Tanri Abeng University | LBP, Radiomic |
Felix Ke | Pennsylvania State University - University Park | methylation |
Felix Körber | Geothe University Frankfurt | signal propagation, time-step analysis |
Felix Mayo | University of Bristol | machine learning, deep learning, early diagnosis, multimodality |
Felix Meissen | Technical University of Munich | unsupervised anomaly detection brain MRI machine learning |
Felix Mueller-Sarnowski | Augsburg University, Medical Faculty | medical information science, neuropsychiatry |
Felix Paulig | RWTH Aachen | Similarity Search |
Félix Soria | UPM | AD, predictive model, MRI, T1 |
Félix Soria | UPM | AD, predictive model, lungitudinal study |
Fella Achouri | AYDIN University | Alzheimer, Hippocampal, Machine Learning, Deep Learning, ADNI |
Femilda Josephin Joseph Shobana Bai | Istinye University | Machine Learning, Deep Learning, Image Processing |
fen yang chen | Zhejiang Chinese Medical University | fmri、smri、dti、AD |
Feng Chen | Harbin Engineering University | network analysis |
Feng Fang | University of Houston | Connectivity, fMRI, dTI, AD |
Feng Gao | GC Group LLC | AD biomarker |
Feng Guozheng | Beijing Normal University | Congnitive disease; prediction |
Feng Han | the Pennsylvania State University | biomarker, fMRI, brain dynamics, prediction model |
Feng Jialiang | Sun Yat-sen University | alzheimer's disease |
feng jinhao | Northeastern University | CNN AD transferlearning |
Feng linxuan | Donghua University | research;Repetition experiment |
feng sang | Beijing Normal University | Multi-modal, deep learning, complex network, aging, dementia |
Feng Shaoyao | Southwest university | sensory processing sensitivity |
FENG SHUANG | Zhengzhou University | PET, MRI, PD, AD |
Feng Wang | University of Texas Health Science Center at Houston | Network, dimension reduction, MRI |
feng yan | Shanghai Maritime University | MRI SNP |
feng yun | Shenyang University | mechine learning;medicine |
feng yunhai | baheal | segmentation |
Feng Zhang | Tianjin University | Alzheimer’s disease, feature selection, longitudinal analysis |
Fengbo Zheng | Tiajin Normal University | Deep learning; Classification; |
Fengchun Ke | Shanghai Maritime University | imaging genetics, Alzheimer's Disease, association analysis |
Fengdan Ye | Rice University | resting-state fMRI, brain network connectivity, cognitive performance,modularity |
Fengfan Zhao | Tsinghua University | graph neural network |
Fengjie Li | Capital Medical University | Alzheimer's disease, cognitive function, diagnosis,accuracy, |
Fengling Hu | University of Pennsylvania | harmonization |
Fenglong Ma | Pennsylvania State University | EHR data mining |
Fengpei Li | ShanghaiTech University | multivariate regression |
fengsheng he | Huashan Hospital | AD . PET. MRI |
Fengtao Nan | Yunnan University | Multimodal machine learning |
Fengxia Wu | Changchun University of Science and Technology | Machine learning;Alzheimer disease;Deep learning |
Fengyu Zhang | Central South University | multi-modal; assisted diagnosis |
Fennie Wong | Own research | Cvd csf |
Fenno Slade | Durham university | Machine Learning, Data Analysis |
Fenqiang Zhao | University of North Carolina at Chapel Hill | segmentation |
Feras Altwal | Rosalind Franklin University | Alzheimer's disease |
Feras Kiki | Koç Üniversitesi | Classification |
fereshte sadat hoseinian | university | fMRI |
Fereshteh Ebrahimzadeh | Bu Ali-sina university | Deep Learning |
fereshteh esmaeili | tarbiat modares unoversity | xai,ai,brain damages, |
Fereshteh Jafarbeglou | University of Tehran | datasets, AD detection, University research project |
ferhat ekin | ankara yıldırım beyazıt university | stalker |
ferial abuhantash | Khalifa University | Alzheimer's, Early Stage Detection, Risk Factors |
feriel medjaoui | Jedha | IA tech |
Fernanda Caroline Dos Santos | Centre for Addiction and Mental Health | Alzheimer's disease; Depression; Mild cognitive impairment; neuroimaging; PRS |
Fernanda Hansen Pacheco de Moraes | IDOR | Aging, Cortical Folding, Alzhimer's Disease |
Fernanda Monedeiro | Nicolaus Copernicus University | MRI, digital processing, diagnosis, machine learning |
Fernando Arreola | Universidad de Monterrey | Alzheimer's disease, MCI, machine learning, classification, asymmetry, atrophy |
Fernando Barajas | UANL | AI, Machine, Learning, Atlas, hippocampus |
Fernando Carrió Argos | Instituto de Física Corpuscular - University of Valencia | Deep Learning, Super Resolution, FPGA |
Fernando de Natali Frascá | Universidade Federal de São Carlos - UFSCar | segmentation, medical images |
Fernando Esteban Icazatti | Facultad de Ingenieria UNSJ | image processing, Alzheimer's disease, bioengineering |
Fernando García Gutiérrez | Complutense University of Madrid | Artificial Intelligence, Neurodegenerative diseases, Deep Learning, Machine Lear |
Fernando Gonzalez Ortiz | Gothenburg University | p-tau biomarkers amyloid PET |
Fernando Herran Albelda | KSchool, Spain | Data Analysis, Deep Learning, Machine Learning |
Fernando Perez Garcia | University College London | epilepsy resection surgery |
Fernando Vega | University of Monterrey | Asymmetric, AD, CN, MCI, Algorithm |
Fernando Vega | University of Calgary | Image-Translation, PET, MRI, Deep-Learning |
Feroz Ahmad | FAST NUCES | Variational Autoencoder |
Feroz Hassan | The University of Manchester | Data collection cortical thickness estimation AI project |
Ferry Angkoso | ITS | CNN, multi feature |
Feryal Momenilandi | Functional Neurosurgery Research Center, Shohada Tajrish Hospital | Neurology, Psychiatry |
Feryel Ksiksi | ENIS | Alzheimer, deep learning,machine learning, |
fethallah hadjila | Tlemcen university Algeria | convolutional networks, transfert learning, recurrent networks |
Feynman Liang | UC Berkeley | targeted learning |
Fidel Alfaro Almagro | University of Oxford | Defacing |
Fikri TURK | Pamukkale University | Anatomy, Radiology, Alzheimer, Morphology, Morphometry |
Filip Morys | Montreal Neurological Institute, McGill University | Alzheimer's disease, obesity, cortical thickness |
Filip Rusak | Queensland University of Technology | GAN, Data Augmentation |
Filip Sadurski | University of Alberta | Research, firm, multiple-scans, longitudinal |
Filip Winzell | Lund University | Alzheimer's disease, Deep learning, MRI, Brain atrophy, biomarkers |
Filipe Mutz | Federal Institute of Espirito Santo | artificial intelligence; machine learning; neural networks; deep learning; |
Filippo Ciceri | Oryzon Genomics S.A. | AD progression, PhIIa clinical study |
Filippo Cieri | Cleveland Clinic | resting state; entropy; mci; cognitive reserve. |
Filippo Corponi | University of Edinburgh | machine learning; imaging-genomics |
Finn Behrendt | TUHH | MRI, Deep-Learning, UAD, self supervised learning |
Fiona Heeman | Amsterdam UMC, location VUmc | Alzheimer's disease, relative perfusion, amyloid, cognition |
Firas Khader | University Hospital Aachen | Image generation, image classification, machine learning |
Firly Taufikurohman | Optional | deep learning |
first last | university of electronic science and technology of china | pd |
fish little | Xi‘an University of Science and Technology | image fusion |
Fitria Urbach | Institut Teknologi Sepuluh Nopember | Generative adversarial network |
Fizza Imtiaz | Institute of Space Technology | Alzheimer's disease |
Flavia Azevedo | State University of Campinas (UNICAMP) | Explainable Artificial Intelligence; Alzheimer's disease; Early diagnosis |
Flavia Loreto | Imperial College London | Neuroimaging, Alzheimer's disease, brain thicknes, |
Flavia Nathaline Chanentia | City University of Hong Kong | CNN, SVM, Alzheimer's Disease detection, course project |
Flavio Orizio | IRCCS Fatebenefratelli | comparison statistics machine learning |
Fleur Gaudfernau | Université de Paris | Image registration, coarse to fine |
Florence Leony | Yuan Ze University | multimodal data fusion; classification; heterogeneity; covariance intersection; |
Florence Townend | University College London | Machine learning, data fusion, brain MRI, neuroimaging |
Florent Hives | CHU Lille | normal metabolism, AD, PPA |
Florent Sauvé | INSERM | Tau clearance, CSF, Blood, Blood brain barrier |
Florian Birk | University of Tübingen | Hippocampus |
florian dubost | Erasmus MC | enlarged perivascular spaces, deep learning, neural networks |
Florian Fischer | Universtiy Medical Center Mainz | Structural brain networks, Graph theory, Cognition, Alzheimer's disease |
Florian Krismer | Medical University Innsbruck | Teaching course, MRI post processing |
Florian Putz | University hospital of Friedrich-Alexander University Erlangen Nürnberg | cortical surface reconstruction, deep learning, brain tumor |
Florian Schiller | University Medical Center Freiburg | PET, FDG, PiB, AD, MCI |
Florin Barbisch | FHNW | visual analytics, machine learning |
Foad Tehrani | Islamic Azad University of Terhran Medical Branch | Alzheimer - MRI - FMRI - Neuro imaging |
Fong Jx | UTM | Deep Learning, Hippocampal |
Foroogh Shamsi | Novo Nordisk | Omics, Imaging, Machine learning |
Forough Fazeli | University of Hong Kong | artificial intelligence |
Forough Sodaei | Tehran University of Medical Sciences | Alzheimer's disease, MCI, analysis |
Fou Chang | Zhejiang University | Alzheimer's disease diagnosis Deep learning Deep neural networks |
Fouad Merajifar | MUI | MRI, Alzheimer's disease, Volumetry, Cognition |
Frances Ruppe | Medtronic | Merge, Image Registration |
Francesca Alves | Florey | Alzhiemers Biomarkers |
Francesca Bisello | IRCSS Sant´Orsola Albertoni | ICANS CarT |
francesca caiozzo | other | alzheimer |
Francesca Catto | University Hospital Zürich | Alzheimer, PET, scans, raw data |
francesca cormack | Cambridge Cognition | Cognitive, Neuropsychology, Modelling |
Francesca Libutti | Hoag Hospital Neurosciences Institute | Alzheimers, Subjective Sleep Quality, APOE ε4 |
Francesca Lucas | Delft University of Technology (TU Delft) | VNTR, repeat expansions, SV |
Francesca Rivas | Sup'Biotech | non invasive methods, detection, Alzheimer's Disease |
Francesca Trenta | University of Catania | 3D-CNN, Neuroimaging, Modality Classification, Deep Learning |
Francesca Vitali | University Of Arizona | APOE, imaging, sex |
Francesco Brovelli | University of Milan-Bicocca | conversion, MRI, amyloid PET, MMSE |
Francesco Bruno | Regional Neurogenetic Centre - ASPCZ | Alzheimer's disease, single nucleotide polymorphism |
Francesco C. Morabito | University Mediterranea of Reggio Calabria | EEG Biomarkers, PET, Complexity Measures |
Francesco Di Lorenzo | University of Sussex | AD, functional conncectivity, ApoE, computational model, disease progression |
Francesco Guarnaccia | Reply | R&D, deep learning, models, dataset |
Francesco Guerrera | Studio GUERRERA | PRE3 |
Francesco Lelli | University of Rome "La Sapienza" | Adversarial Learning, auto-context model, deep learning, image synthesis. |
Francesco Manzo | Universita parthenope | thesis about Alzheimer's |
Francesco Maria Guadagnuolo | University Torino | Neuroimaging, Rough-Paths, Topological-Data-Analysis |
Francesco Musacchia | Istituto Italiano di Tecnologia | structural variation, mobile elements, AD risk gene |
Francesco Romano | Università Federico II di Napoli | education, project work, CNN |
Francesco Taglino | National Research Council (CNR) | ontology, machine learning, data integration |
Francis Hane | Lakehead University | AD prediction, APOE4, Bayesian |
Francis Jeanson | Datadex | CSF amyloid-beta, Alzheimer's Disease |
Francis Normand | Laval University | Networks, comparing brain networks |
Francis Normand | Monash University | Diagnostic of brain disorders in multi modal datasets |
Francisco iarussi | Universidad Nacional del Centro de la Provincia de Buenos aires | thesis,hippocampus |
Francisco Javier Acevedo | University of Alcala | PET, MRI, CSF biomarkers |
Francisco Mora Ortiz | Universidad Politécnica de Madrid | longitudinal analysis for Alzheimer disease |
FRANCISCO MUÑOZ | Complutense University | Alzheimer disease, dementia, neuropsychology |
Francisco Nascimento | University of Brasilia - UnB | machine learning, deep learning, feature extraction |
Francisco Oliveira | University of Coimbra | PET/PiB; CSF; reference regions; classification; correlation |
Francisco Santos | UCL | amyloid, Alzheimer, gene variants |
Francisco Soares | Universidade de Aveiro | ML/DL; MRI images |
Francisco Triguero-Ruiz | University of Málaga | data mining, Health care, dataset |
Francois Nadeau | University of Montreal | fMRI, Memory, Encoding, Retrieval |
Frank Appiah | American Public University | mixture modeling, prediction, cognitively intact |
Frank Fang | Eisai | Machine Learning |
Frank Hillary | Pennsylvania State University | hyperconnectivity, MCI, risk, neurodegeneration |
Frank Hui | Burnaby North Secondary School | Convolutional Neural Network, Glioblastoma Multiforme, MRI scans, healthy brains |
Frank Oltmanns | EZBB | epilepsy, PET |
Frank Oscar | University of Houston | Brain network; Alzheimer's disease; Diffusion tensor imaging |
Frank Pillmann | Martin Luther University, Halle, Germany | Alzheimer, Course |
Frank Provenzano | Tesarakt | neuroimaging, biomarkers |
Frank Scali | California University of Science and Medicine | myodural bridge |
Frank Schreiber | Otto-von-Guericke University Magdeburg | AV45, visual rating |
Frank Thiele | Philips Research Labs | image analysis, FDG-PET, PIB-PET |
Franklin Burhagohain | Indian Institute of Information Technology Guwahati | Early Detection, Alzheimer Disease, CNN, ML |
Franklin Feingold | Stanford University | BIDS |
Franklin Massa | UDELAR | Statistical modeling, ageing |
franklin victor | Birmingham City Univeristy | Dementia detection & prediction using deep learning |
Frantisek Sefcik | Slovak university of technology | deep learning, interpretability, medical imaging |
Franziska Gottwald | Paderborn University, Germany | Alzheimer's prediction and treatment |
Franziska Willmer | University of Leipzig | 18F-PI-2620 PET, FDG-PET, MRT, Frontotemporal dementia |
Franziskus Liem | University of Zurich | prediction, multimodal |
Fraser Collins | Logicearth Services | Alzheimer's Imaging |
Frederic CADET | University of La Reunion | Machine Learning, Biochemistry, Genomics |
Frederic Calon | Universite Laval | Alzheimer |
Frederic Sampedro | Hospital de Sant Pau Research Institute | machine learning |
Frédéric St-Onge | McGill University | Alzheimer's disease, cognitively normal, fMRI, fingerprinting |
FREDERICO ALMEIDA | UNIVERSIDADE DE BRASÍLIA | longitudinal data, gee models, mle and simulations |
Frederik Rogge | University of Technology Hamburg | unsupervised anomaly detection |
Frederique Ethier | University of Ottawa | word finding, MCI, anomia, grey matter, atrophy, volume |
Fredrik Johansson | Chalmers University of Technology | Machine learning, causality, progression, time-series |
Fredrik Mårtensson | Halmstad högskola | Images, decease |
FREDY SANCHEZ | universidad tecnológica de pereira | alzheimer, pet |
Freek Martens | Tilburg University | MTA, MOCA, Parkinson Disease, MCI, |
Freimut Juengling | University Hospital Berne and PET/CT Centre Northwest Switzerland | SPM, AAL, SSP, PVC |
Freja Davies | Swansea University | Alzheimer’s Parkinson’s Epilepsy MRI |
Frenciel Anggi | The University of Manchester | AI, Machine Learning, Blood Plasma Biomarkers |
Friedhelm Schwenker | Ulm University | pattern recognition, feature extraction and analysis, deep learning, neural netw |
Frithjof Kruggel | UC Irvine | DTI |
Fu Ben | Zhengzhou Univerisity | Multimodal deep learning;Early diagnosis |
fu shidi | 东北大学 | 123456abc |
fu xiaoshu | The First Hospital of Jilin University | Alzheimer's disease, resting-state functional magnetic resonance imaging, indepe |
fu xin | lnnu | ms segment brain mri |
Fuad Noman | Monash | deep learning, graph theory, effective connectivity, classification. |
Fuat Uyguroglu | Eastern Mediterranean University | 3D CNN, Deep Learning, Brain MRI |
fubai shen | zhejiang university of technology | research |
fuchang lu | Second Affiliated Hospital of South China University of Technology | Geriatrics,clinical and biological markers,early Alzheimer disease. |
fujia ren | Guizhou normal university | fmri mri |
Fumihiko Yasuno | National Center for Geriatrics and Gerontology | amyloid, tau, positron emission tomography |
Fumiko Obata | Tottori University | olfactory, infectious disease, inflammation |
Fumio Yamashita | University of Tsukuba | TBM |
Fuping Wu | Fudan University | hippocampus segmentation |
furao yang | northeastern university | yangfurao |
Furkan Karakaya | Konya technical University / Turkey | Alzheimer, Dataset, Project, Competition, MR images |
Furkan Uyanik | Yildirim | Alzheimer |
Fushing Hsieh | UC Davis | Conditional entropy, Cox proportional hazard model, informative censoring |
Fusun Er | Yeditepe University | Alzheimer's Image Processing |
futao chen | Nanjing Drum Tower Hospital | AD,SCD,fMRI |
Fuxing Yang | The second affiliated hospital of Fujian Medical University | deep learning, transformer, multimodal analyses |
Fuxun Gao | University of Shanghai for Science and Technology | Alzheimer’s disease; Computer-aided diagnosis |
Fuyao Li | Dongzhimen Hospital, Beijing University of Chinese Medicine | soluable TREM2; neurofilament light chain; dynamic change; ATN classification; |
Fuzai Su | Fujian Normal University | ADNI research |
G HT | Guizhou University | homework |
G JUNWEN | Chongqing Technology and Business University | classification;machine learning;disease prediction |
G LY | Hainanu | brain network |
G Parthap | SRM IST | diagnosis Alzheimers Disease, Transfer Learning, Ensemble Learning |
G SUNIL KUMAR | gsk | ADNI MACHINE LEARNING |
g xp | NPU | anyway |
Gábor Csukly | Semmelweis University | MCI, Alzheimer's Dementia, Vascular Risk Factors |
Gabor Leko | University of Szeged | brain age, MRI, machine learning |
Gabriel Bucur | Radboud University Nijmegen | causal inference, Mendelian randomization, Robust estimation, Bayesian inference |
Gabriel Devenyi | Douglas University Mental Health Institute, McGill University | MRI |
Gabriel Gonzalez-Escamilla | University Medical Center of the Johannes Gutenberg-University Mainz | Aging, neurodegeneration |
Gabriel Henrique | PUCRS | Deep learning, neuroimaging |
Gabriel Kennedy | Stanford University | Alzheimer's, Genetics |
Gabriel Mesquita de Souza | Universidade Federal do ABC - UFABC | Alzheimer, classifier, final paper, ADNI, MRI |
Gabriel Musso | Real Time Data Solutions | Predictive modeling, analytics, diagnosis |
Gabriel Nahum | UCLA | Transfer learning, Segmentation, MRI |
Gabriel Owusu | University of Texas Rio Grande Valley | Deep learning, CNN, Alzheimer Disease |
Gabriel Pena | University of Maryland-College Park | Cognitive health, Alzheimer’s Disease, Healthy aging |
Gabriel Ramirez-Garcia | Universidad Autonoma de Mexico | Segmentation, WM lesions, |
Gabriel Silveira | Unicamp | Deep Learning, fMRI |
Gabriel Solana Lavalle | Universidad de las Americas Puebla | Image processing, Machine learning, MRI, fMRI, multi-resolution |
Gabriel Villafuerte | Actipulse | Artificial Neural Network |
Gabriel Ziegler | University of Magdeburg | disease progression model, dynamical systems, multimodal, longitudinal |
Gabriela Basel | Stanford University | student, coursework |
Gabriela Gómez | La Sapienza | Alzheimer's Disease, CNN |
Gabriela Gomez | La Sapienza | Longitudinal ADNI |
Gabriela Martinez | Universidad Autónoma de Querétaro | Alzheimer, voxel based morphometry |
Gabriela Martinez | Universidad Autónoma de Querétaro | Alzheimer |
Gabriela Rodriguez Bengochea | San Juan Bautista | Alzheimer's, APOe4, Ethnic groups. |
Gabriele Gaßner | University of Kiel | Hippocampal Volume, Hippocampal Atrophy |
Gabriele Inciuraite | Zuse Institute Berlin | multimodal data integration, explainable AI, deep learning, autoencoder |
Gabriele Lozupone | University of Cassino and Southern Lazio | XAI, MRI, Deep Learning, Grad-CAM |
Gad Marshall | Brigham and Women's Hospital | PIB PET, FDG PET, APOE |
Gadi Goelman | Hadassah Hebrew University Medical Center | fMRI, coherence, directed pathways |
Gaël Nicolas | University of Rouen | ADSP |
Gaelle Doucet | Icahn School of Medicine At Mount Sinai | resting-state networks, brain atlas, aging |
Gaetano Pagliarulo | Università Parthenope | LOAD AD Alzheimer |
Gaetano Pagliarulo | Università Parthenope | LOAD AD Alzheimer |
Gaeun Kim | Hankuk University of Foreign Studies | Deep Lerning |
Gaffari ÇELİK | Ağrı İbrahim Çeçen Universitesi | Alzheimer’s Disease, Deep Learning |
Gagan Gupta | IIT Bhilai | Federated Learning, ML, Privacy Preserving |
Gagan Sidhu | University of Alberta | diagnosis classification fmri machine learning |
Gagan Wig | University of Texas at Dallas | resting-state networks, neuropathology, graph theory |
gagasgsag gasgasgags | NIS | ML |
Gaille Zhao | HNNU | confidence |
Gajender Kunwar | Great learning | Deep learning |
Gal Chechik | Bar-Ilan University | Deep learning |
Galal Hasan | Cairo university | Graduation project research |
Gali Weissberger | University of Southern California | MCI, AD, Neuropsychology, racial differences |
Gamage Upeksha Perera | Bowling Green State University | Gaussian Mixture Models |
Gamazon Eric | Vanderbilt University Medical Center | Alzheimer's Disease, GWAS, omics |
Gamze Korkmaz Erdem | Kocaeli University | medical image, deep learning, segmentation, classification |
Gan Chen | University of Louisville | Hidden Markov Model, Disease Progression |
gan huang | Renji Hospital affiliated to Shanghai Jiao Tong University School of Medicine | AD PET imaging multimolecular probe |
Gan Yi | Fudan University | deep learning, medical image registration |
Gancheng Zhu | Jilin University | deep learning, cnn. rnn |
GANDHAM SHRIRAMA MONOJ | National institute of technology,calicut | DMRI |
Ganesh Chand | Washington University in St. Louis | T1 weighted MRI, cognitive scores |
Ganesh Chandrasekaran | University of Pennsylvania | CSF, Biomarkers, Cognition |
Ganesh Chauhan | Centre for Brain Research, Indian Institute of Science | cerebral small vessel disease, genome wide association, vascular risk factors |
Ganesh Dhanawade | kvm wai | 123456 |
Ganesh Morye | General Assembly | Tadpole, Machine learning, Modeling |
ganesh vanamu | Solorsano School | Science Project, Alzheimers |
Gang Chen | Medical College of Wisconsin | fMRI, MRI |
Gang Li | Chongqing University | Alzheimer's Disease |
Gang Wang | Ruijin Hospitall, Shanghai Jiao Tong University School of Medicine | Late-onset alzheimer's disease; familial AD |
gang yang | University of Science and Technology of China | ADNI;CT;MRI |
ganga surendra basva | bharath university | datasets |
gangyu ding | Jiading district central hospital | Alzheimer's disease,radiomics,machine learning |
Gann Boonyaprapatsara | MDCU | naming language attention |
gao daibo | Guilin University of Electronic Technology | 277342 |
gao feng | Southwest Jiaotong university | cognitive function |
Gao Hanxing | Fujian Normal University | Machine learning, multiclassification, missing value processing |
Gao Hanxing | Fujian Normal University | Alzheimer’s disease diagnosis, Data preprocessing, GUI toobox, Multi-class class |
Gao Shan | Shenzhen University | study image registration |
Gao Shuwen | Southeast University | AD diagnosis; graph_CNN |
Gao tianyu | Shandong bussiness University | Hypergraph neural network |
GAO TREE | NAN KAI | Registration and fusion of head images |
Gao Wenbo | Hangzhou Dianzi University | CNN |
Gao Xing | Nanjing University of Science and Technology | Image classification, Image shape analysis,SVM,manifold |
gao xujie | Beijign Forestry University | classification |
Gao Yuan | Hebei Medical University | communicate project |
gao yuqin | ECUST university | PET MR AD |
Gao Zhiyang Gao Zhiyang | Shanghai Univesity | Alzheimer's disease, MRI ,PET |
Gaojie Shi | Nanjing Normal University | image processing academic paper |
Gaoshuai WANG | UTBM | Alzheimer, Deep learning, RNN, LSTM |
Gaoyang Hao | Jiangnan University | Image Registration |
gaoyi lei | beijing institute of technology | Bit201308 |
Gaoyu Xiao | Mounty Sinai | systems biology, network |
GARGI JOSHI | SYMBIOSIS INSTITUTE OF TECHNOLOGY | MULTIMODAL DATA FUSION DEEP LEARNING HEALTHCARE |
Gargi Trivedi | CVM University | Brain Tumor Image Fusion |
Garima Kumari | GAUTAM BUDDHA UNIVERSITY | DEEP LEARNING |
Garreth McArdle | National College of Ireland | Club-DRF model |
Garrett Crumrine | Texas A&M University San Antonio | Artificial Intelligence, Image Processing, Predictive Modeling, |
Garrett McCue | Lewis University | deep learning, classification |
Garrett Miller | USC Alzheimer's Therapeutic Research Institute | Biostatistics; Adverse Events |
Garrison Danley | Mass General | mri, motion, artifacts |
Gary Beecham | University of Miami, Miller School of Medicine | genetics, neuropathology |
Gary Choi | Massachusetts Institute of Technology | Mapping, shape analysis |
Gary Gibson | Weill Cornell Medical College | conversion |
gary marano | west Virginia University | Drug response of CNS amyloid |
Gary Wisniewski | Institute for Neurodegenerative Disorders | Alzheimers, AD, PET, FDG |
Gary Zhang | University College London | Diffusion MRI |
gate zxuan | none | nokey |
Gauhar Kantayeva | Politechnical Institute of Braganca | machine learning dementia data alzheimer's disease |
Gaurab Subedi | University of south Dakota | Multimodal Learning |
Gaurang Shah | University of Michigan | Aging, Brain, |
Gaurav Bhalerao | University of Oxford | Brain, Dementia, Harmonization, MRI, Prediction, Quality control |
Gaurav Garg | University of Ulster | Modeling, EEG, fMRI, Alzheimer's, AD |
GAURAV GOYAL | CHITKARA UNIVERSITY | multiple sclerosis |
gaurav gupta | Shoolini University | Alzheimer image segmentation machine learning |
Gaurav Oberoi | Indian Institute of Science | Medical Image Segmentation |
Gaurav Pandey | Icahn School of Medicine at Mount Sinai | Machine learning, data integration, ensemble learning, predictive modeling |
Gaurav Parashar | AMITY University | disease prediction, stage detection, biomarkers |
Gaurava Srivastava | CSIR-CIMAP | Alzheimer disease |
GAURI CHANDRA | IIT, Delhi | Alzheimer's Disease, Neuroscience, Optimal Controller |
Gauri Kulkarni | Binghamton University | Cognitive Impairment, Early Diagnosis |
Gautam Goel | Gestalt Strategies Inc | Artificial Intelligence, Machine Learning |
Gautam Ls | RVCE | Rs fmri, Alzheimers disease |
Gautam Rajendrakumar Gare | Carnegie Mellon University | Machine Learning, Classification |
Gautherot Morgan | University of Lille | Deep learning, brain aging, MRI |
Gavin An | Madison West High School | INR, AI, Computer Science, Brain |
Gavin Chen | Tianjin University of Technology and Education | czc960229 |
Gavin GUO | The Hong Kong Polytechnic University | machine learning; transfer learning;AD |
Gavin Yuan | New York Medical College | Imaging |
Gayathri L | Bangalore University | CNN ,Alzheimer's disease |
Gayathri L | Bangalore University | CNN ,Alzheimer's disease |
Gayathri Ramasamy | Amrita Vishwa VidyaPeetham | Alzheimer's disease,MRI dataset |
Gayathri Ramasamy | Amrita University | ADNI, Deep Learning, CNN |
Gayathri Saravanan | Mindtek | Medical image processing |
Gayathri Sunil | PES University | Nond |
Gayatri Dikholkar | MIT WPU | Final Project |
Gayatri Rajan | N/A | machine learning, ai, MRI, dementia |
Gayda Mutahar | The University of Melbourne | XAI |
Gayoon Choi | Yonsei University | AI, Reconstruction, Low-dose, Standard-dose |
Gazi Hossain | University of Eastern Finland | PET Dementia MRI |
Ge Gao | columbia university | infarct detectio |
Ge Jialin | Beijing Normal University | cognitive decline |
ge shi | UC Davis | MRI analysis |
ge wang | XIAMEN maluanwan hospital | small world network |
ge xiaoyan | Jinzhou medical university | Mild Cognitive Impairment; Screening strategy; Prognosis model |
Ge Yang | Sichuan University | medical imaging |
ge zhang | Beijing university of technology | DTI MRI AD |
Ge Zhang | Hainan General Hospital | Alzheimer’s disease, radiomic features, support vector machine |
GEET SAHU | PDPM IIITDM Jabalpur, India | Alzheimer's disease classification |
Geet Sahu | Amity University | Alzheimer, Convolutional Neural Network |
Geetha Soujanya Chilla | A*STAR | Segmentation |
Geetha V | Kumaraguru College of Technology, Coimbatore | Machine learning, ALzhemeirs |
Gefei Wang | The Hong Kong University of Science and Technology | Deep learning |
Gege JIang | Renmin Hospital of Wuhan University | Alzheimer's disease; gender; sex; risk factors |
Gela Beselia | I. Beritashvili Center of Experimental Biomedicine | Biomarkers |
Gelan Ying | University of Florida | treatment effect, MCI, functional ability |
Gelan Ying | University of Florida | neuroimaging, functioning, bilingualism |
Gemeda Hulka | Jimma university | Alzheimer's disease,MRI |
Gemma Shearman | Kingston University | lipidomics; statistical analysis |
Gen Li | Fudan Hospital, Huashan University | extrapyramidal signs, sleep |
Gen Shi | Beijing Institute of Technology | brain network, multimodal neuroimaging |
Genevieve Dupuis | Boston University | time-series analysis, correlated data |
Geng Chen | Inception Institute of Artificial Intelligence | hippocampus segmentation |
Geng Fan | University of Electronic science of technology of China | HDAC2 |
geng liu | University Of Electronic Science and Technology of China | fMRI |
Geng Shao | McGill University | Student,Course Project, CNN |
Gengsheng Chen | Washington University in St. Louis | amyloid, gwas |
Gengxin Xu | Sun Yat-sen University | multi-modality analysis |
Gennaro Pagano | F. Hoffmann-La Roche Ltd | Age of onset |
Genqiang Ren | Tongji University | medical image analysis |
Geoff Currie | Charles Sturt University | artificial neural network, machine learning |
Geoff Klein | University of Toronto | Medical Imaging |
Geoffrey Ngo | Western University | resting-state fMRI, Biomarker |
Geoffroy Gagliardi | Brigham and Women's Hospital | Awareness, Biomarkers |
Geoffroy Oudoumanessah | INSERM | MRI, Anomaly detection, Mixture Model, features extraction |
GEONHUI SON | yonsei university | deep learning |
Georg Hahn | Harvard T.H. Chan School of Public Health | population stratification, locStra, local analysis |
George Biros Biros | The University of Texas at Austin | Image registration, image segmentation, tau analysis, PET, MRI, machine learning |
George Blanck | UNIVERSITY OF SOUTH FLORIDA | immune receptors; complementarity determining regions; physicochemical features. |
George Godsey | Durin Technologies | Alzheimers |
George Karozis | ntua | diploma |
George Karozis | ntua | fmri thesis |
George Leung | South China Normal University | Alzheimer’s disease; deep learning |
George Mastorakos | Cortechs.ai | aria microhemorrhage t2 star gre ai detection |
George Zenzerovich | Stony Brook University | Machine Learning, MRI, FDG PE, AD, MCI |
Georgette Argiris | Columbia University | graph theory, AB-negative, resting state functional connectivity, |
Georgia Kanli | LIH | PseudoPET |
georgian ciobotaru | Carol Davila | epilepsy myoclonus |
Georgina Earle | University of Birmingham | Alzheimer's Disease, deep learning, imaging |
Georgina Waldo | University of Guanajuato | MRI, Machine Learning, Dementia Classification |
Georgios Antonopoulos | FZ-Juelich, Institute of Neuroscience and Medicine | Gray matter volume, age prediction |
Georgios Exarchakis | Institut de la Vision, CNRS, Sorbonne University | Scattering Transforms, Machine Learning |
Georgios Liapis | UCL | Cassification |
Georgios Marios Dimakidis | Ionian University | Bioinformatics, Data Analytics, AD |
Georgios Skandalakis | University of New Mexico | DBS, tractography, HDTI, brain connectivity |
Georgios Skandalakis | University of New Mexico | DTI, brain connectivity |
Georgios Skandalakis | University of New Mexico | DTI, brain connectivity |
Georgios Theocharidis | University of Nottingham | Machine learning, Deep neural networks, CNN, SVM, Random forest, Morphometrics |
Georgios Theofilakos | University of Manchester | Alzheimer's disease |
Georgios Thomaidis | Katerini General Hospital | Jad.Bio Machine Learning Dementia |
Gerald Novak | Janssen R&D | Cogstate; neuropsychological tests, regional cortical volumes |
Gerald Pfeffer | University of Calgary | Dementia, MCI, genetics |
Geraldine Celliere | Lixoft, Simulations Plus | MonolixSuite, NLME, case study |
Geraldo Busatto-Filho | USP | magnetic resonance imaging, cognitive reserve, PET, tau |
Gérard Bischof | University Hopsital Cologne | Alzheimer's disease, resting state, fMRI |
Gerard Martí Juan | Universitat Pompeu Fabra | Longitudinal, multimodal, machine learning, Alzheimer's |
Gerard McKenna | University of Ulster | Australian Imaging Biomarkers Lifestyle Flagship |
Gerard piñol-ripoll | Hospital Universitari Santa Maria Lleida | Sleep, |
gerardo flores | google, inc | pet |
Gerda Prakopimaite | University of Hong Kong | Coursework |
Gergely Vastag | QMENTA | Review |
Gergő Bolla | Budapest University of Technonlogy | Alzheimer, Mild Cognitive Impairment, Machine Learning, |
Gerlise Chan | Leiden University | Causal Discovery, AutoML |
German Alejandro Pabón Ochoa | Universidad Nacional de Colombia | Alzheimer's disease, Multi-source biomedical data, data fusion. |
Gerome Vivar | TUM | Deep learning |
Gerry Day | Louisiana State University | deep learning neuroanatomy segmentation |
Gert-Jan Allemeersch | Vrije Universiteit Brussel/ UZ Brussel | MRI, biomarker, hippocampus, MTA |
ghada Ragab | faculty of computers and information Menofia University | alzheimer's disease, detection, machine learning, deep learning |
Ghadah Fadhl | Sana'a university | Alzhiemer’s disease (AD), Convolutional neural network (CNN) , Deep neural netwo |
Ghadeer Alkofahi | 3 | Alzheimer |
Ghaidaa Eldeeb | faculty of engineering cairo univeristy | DTI |
Ghanem BAHRINI | SAFRAN TECH | survival analysis, longitudinal data, |
Ghassen Tajini | Uni Rostock | AD |
ghazal ghazal | sahand university of technology | alzheimer |
Ghislain Vaillant | Paris Brain Institute | data management; clinica; opensource, neuroimaging |
Ghislaine Le Prince Leterme | Université Paris Diderot / APHP Fernand Widal Hospital | cerebellar lobules, cognitive cerebellum, brain grey matter atrophy, |
Ghootae Kim | Korea Brain Research Institute | AD, Parkinson, machine learning |
GHULAM ABBASS | GOVT. COLLEGE UNIVERSITY FAISALABAD, PAKISTAN | MULTI-CNN |
Gia Lim | Nanyang Technological University | automation, neuroimaging |
Gian Tartaglia | Italian Institute of Technology | Genomic analysis; Transcriptomics; Neurodegeneration |
Gianfilippo Coppola | Yale University | deep learning, AD subtypes |
Gianna Chen | Shanghai Jiao Tong University | none |
Gianna Sweeting | University of Florida | Polygenic Risk Score, Alzheimer's Disease |
Gianpaolo Antonio Basile | University of Messina | thalamus |
Gibson Russell | MIT | Dementia Detection |
Gidon Levakov | Ben Gurion University of the Negev | Brain aging; Neuroimaging; Deep learning; Convolutional neural networks; |
gie young lee | Soongsil university | GWAS |
gieyoung lee | PDXen | GWAS |
giho jeon | Pusan National University | DTI, MCI, neurophysical test, machine learning |
Gil Andrei Fontimayor | Fachhochschule Nordwestschweiz (FHNW) | Alzheimer’s, neuroimaging, |
Gilderlanio Araújo | Federal University of Pará | association networks, non-coding RNA, eQTL, population genomics |
Gillian Coughlan | Baycrest | Biomarkers, Alzheimer's disease, resting-state fMRI |
Gillian Coughlan | MGH | PET, sex differences, menopause |
Gillian Einstein | University of Toronto | Surgical menopause; oxidative stress; cognitive decline; neurodegeneration |
Gilsoon Park | University of Southern California | White matter hyperintensities, segmentation, hypertension, clinical scores |
Gina Eom | Centre for Addiction and Mental Health | cognition, function, clinical scores |
Gina Peloso | Boston University | teaching, GWAS, genetics |
Ginn Lee | Lotis | ImageSegmentation |
Ginnie Berry | Belmont University | Imaging, Genetics, FTD |
Giordana Souza | PUCRS | Centiloid; 11C-PIB; ageing |
Giorgia Tosi | University of Salento | Network Analysis; Exploratory Graph Analysis; temporal dynamics |
Giorgio Carbone | Università degli studi di Milano-Bicocca | deep learning, data science, image classification |
Giorgos Papanastasiou | University of Edinburgh | metabolite-corrected input function, pharmacokinetic modelling |
Giovanna Bubbico | ITAB, Institute for Advanced Biomedical Technologies | DTI bilingualism normal aging |
Giovanna de Oliveira Alves | Centro Universitário Fundação Santo André | dementia, Alzheimer, science, research, student |
Giovanna Kobus Conrado | Hong Kong University of Science and Technology | Multi-modal Fusion, 3D-CNN-SE, Feature Selection |
Giovanna Pilonieta | University of Alabama at Birmingham | CDR minorities |
giovanni bader | Novartis AG | dementia hypertension ARBs |
Giovanni D'Ambrosio | University of Guelph | Impact, MRI, |
Giovanni De Felice | University Of Liverpool | kernel regression, Multidimensional Time Series, |
Giovanni Giulietti | IRCCS Santa Lucia Foundation | magnetic resonance, DTI, Alzheimer, mild cognitive impairment |
Giridhar giri | VKIT | Alzheimers, MCI, controls, MRI, fMRI |
Girish Srinivasan | University of Illinois at Chicago | Machine Learning, Segmentation |
Gisel Bastidas | ESPOL | IMAGE REGISTRATION |
gisung shin | Korea University | MRI |
Gita Pathak | Yale University | Aging, Genetics, Brain |
Gitika Jha | KJ Somaiya | Psychological Disorders, Machine Learning, Deep Learning, Brain Scans |
Giulia Buzi | Università degli Studi di Torino | Alzheimer's Disease; Biomarker; Memory: APOE-e4 |
Giulia Lorenzon | Karolinska Institutet | MRI; biomarkers, AD, MCI, subtypes, atrophy, cluster, longitudinal |
Giulia Quattrini | Laboratory of Alzheimer’s Neuroimaging & Epidemiology (LANE) | APOEε4, AD, amyloid |
Giulio Siracusano | University of Catania | brain segmentation mci alzheimer machine learning |
Giuseppa Maresca | irccs centro neurolesi bonino pulejo | neural network |
Giuseppe Astarita | Arkuda Therapeutics | lipidomics, metabolomic, proteomics, biomarker |
Giuseppe Barisano | University of Southern California | perivascular spaces |
Giuseppe Grossi | Ryerson University | Deep Learning, Computer Vision, Machine Learning |
Giuseppe Rabini | University of Trento | resting state connectivity, social cognition |
Giuseppe Tosto | Columbia University | SNPs |
Gizem Akgönüllü | Çankaya University | alzeihmer |
Gladia Hotan | Institute of High Performance Computing | Image imputation, GANs, Markov Random Fields |
Gladia Hotan | Institute of High Performance Computing | Longitudinal prediction, machine learning |
Gladiliz Rivera Delpin | Brigham and Women's Hospital | FDG-PET, semantic processing, language comprehension, pathology, biomarkers |
Glauco Vitor Pedrosa | University of Brasilia | image processing, computer vision, data mining, artificil inteligence |
Gloria Chiang | UCSF | DTI |
Gloria Ma | Columbia University's Mailman School of Public Health | Student, project |
Gloria Menegaz | University of Verona | Imaging genetics, brain microstructure, connectivity |
Gloria Tang | Ruijin Hospital, Shanghai Jiao Tong University School of Medicine | fMRI research |
Go Akamatsu | NIRS-QST | Tau PET analysis |
Gohar Zargar | Urmia University of Technology | Multi model,Biomedical Signal,Processing |
Gohar Zavradyan | University of California, Riverside | Alzheimer's disease, inflammation |
Gökçe Uysal | Istanbul University/Institute of Graduate Studies in Science and Engineering | İmage segmentation, 3D modelling, hippocampal athropy |
Gokhan Bakal | Abdullah Gul University | text mining, machine learning, artificial intelligence, data mining |
Gökhan Uçar | Bilecik Seyh Edebali University | wmh |
Goktekin Durusoy | Bogazici University | Graph analysis, tensor decompositions,Connectome |
Gokul Krishnan G | Amrita University | deep-learning, CNNs |
Gokul Malyavanatham | Willamette Valley Academy | ML, train, Alzheimer |
Gokul Nishanth Sivakumar | DePaul University | AMD |
Golddy Kumara | donghua university | Alzheimer's disease, Convolutional Neural Network, multi-classification |
Golnaz Baghdadi | Amirkabir University of Technology | Computational neuroscience ; multimodal sensory |
Golrokh Mirzaei | Ohio state University | deep learning, alzheimer disease |
Gomez Suarez | UNAM | Images,Alzheimer |
Gonca Buyrukoglu | Karatekin University | ANN, Random Forest |
Gonca Menekse | Atilim University | Alzheimer, CNN, fMRI |
Gong Henxin | Lanzhou University | Alzheimer’s disease, delusion, memory, functional connectivity, brain atrophy |
Gong Yuhang | China Parmaceutical University | Alzheimer's disease |
Gong Yunseo | VMS | Biomarker |
gong zi | SCAU | feature selection、MRI、classification |
Gongpeng Cao | Beijing University of Posts and Telecommunications | artificial intelligence, precise diagnosis of AD |
Gongshu Wang | Beijing Institute of Technology | Machine learning, Disease diagnosis |
Gonul Gunal Degirmendereli | Middle East Technical University | Alzheimer's disease, computational method, fMRI, Machine Learning |
Gonzalo Castro Leal | University of Dundee | MR, ADNI, AD |
Gonzalo Farías | Universidad de Chile | synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau |
Gonzalo Forno | Universidad de los Andes | LATE, LATE-NC, Alzheimer's disease, TDP-43 |
Gonzalo Leguia Fauro | VIB | Alzheimer, Genetic Risk Variants |
Gonzalo Rojas | Clinica las Condes | ASL, epilepsy |
Goonho Park | Stanford University | Tauopathy, Tau, PERK, ER stress, disease progress |
Gopala D | Vellore Institute of Technology | Hackathon |
Gopala Vadlamani | Excalibur Solutions | Biomarkers MRI Pet scan Machine learning |
Gopi Ganji | GSK | Alzheimer's disease, biomarkers, clinical studies |
Gopika Raveendran | Government Engineering College Idukki | ADNI [ MRI, PET, COG CSF ] |
Gopika Sreekumar | Mohandas College of Engineering and Technology | ADNI dataset |
GORDON CHELUNE | University of Utah | MoCA, demographically-adjusted norms, Specificity, MCI, Dementia |
Gordon Waiter | University of Aberdeen | ageing, hippocampal volume, photoperiod |
Görkem Akgül | Uskudar University | machine-learning, ensemble, TADPOLE |
Gorkem Tutal Gursoy | Ankara Şehir Hastanesi | alzheimer disease, artificial intelligence, cortical thickness, |
Gou Yixin | University of Electronic Science and Tech of China. | AD prediction |
gouda ibrahim | ISI | grad |
Gourinath H S | Digital University Kerala | Deep Learning ,CNN, Machine learning |
Goutam Laddha | Walchand College of Engineering | MRI |
Goutham Elumalai | SRM IST | MRI |
Govind Krishnan Gangadhar | Rutgers University | university, project, database |
Govindarajan Pandurangan | Personal | brain mri images |
GOWHAR DAR | LOVELY PROFESSIONAL UNIVERSITY PUNJAB | CNN,DEEP LEARNING,AUTOMATED |
Gowtham Murugesan | BAMF Health | fmri |
Gowtham Nimmal Haribabu | Indian Institute of Science | Machine Learning |
Gowtham R | JSS SCIENCE AND TECHNOLOGY UNIVERSITY | ALZHIEMER DISEASE,EARLY DIAGNOSIS,MACHINE LEARNING |
Grace Akindele | Hebei University of Technology, China | Alzheimer's diseases, autoencoder, Neuroimaging |
Grace Babalola | Binghamton University (SUNY) | Chronic Disease Predictive Model |
Grace Burt | Brigham and Women's Hospital | Atrophy, Visuospatial, Alzheimer Disease, Treatment |
Grace Burt | Brigham and Women's Hospital | Atrophy, Visuospatial, Alzheimer Disease, Treatment |
Grace Chen | North China Electric Power University | iloveyouCSL@1214 |
Grace Kim | Seoul National University | Sex Differences, Alzheimer's Disease, Mild Cognitive Impairment |
Grace Koo | Sunnybrook Research Institute | biomarker, imaging, WMH |
Grace Wen | university of Auckland | Statistical analysis, MRI |
Gracian Garcia | Quiron | PET; SPM; templates |
Graham Kupsaw | Brown University | plasma biomarkers, interleukin, cytokine |
Graham Seasons | St. Francis Xavier University | pipelines, super aging, functional connectivity |
Grant Gasser | Northwestern | machine learning |
Grant Haskins | EvoAI (new start-up) | Deep Learning, Machine Learning, Medical Image Analysis |
Grant Jacobson | San Jose State University | Mild Cognitive Impairment, Alzheimer's Disease |
Grant Roberts | University of Wisconsin - Madison | NODDI; ASL |
Grazia Daniela Femminella | Imperial College London | inflammation; atrophy; AD; MCI |
Grazia Daniela Femminella | University of Naples Federico II | Alzheimer's disease; atrial fibrillation |
Greg Carter | The Jackson Laboratory | epistasis, pleiotropy, genetic association |
Greg Cary | Jackson Laboratory | genetic association, drug targets |
Greg Cron | The Ottawa Hospital | perfusion, ASL, DCE, DSC, MRI |
Greg Sutherland | University of Sydney | Alzheimer's disease, neuropathology, machine learning |
Greg Zaharchuk | Stanford University | PET, radiation, AI |
Grégoire Maison | Uca | Statistic |
Gregory Church | Roche | - |
Gregory Fitzgerald | State University of New York at Albany | "mild cognitive impairment", "reversion", "dementia" |
Gregory Founshtein | The hebrew University and the Hadassah Ein Kerem medical center | Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau |
Gregory Ghahramani | Weill Cornel Medicine | Alzheimer's Subtypes |
Gregory Hather | Sage Therapeutics | biomarkers, population selection |
Gregory Klein | roche | amyloid tau |
Gregory Louie | Duke University | Metabolomics, Computational Network Models |
Gregory Matuszek | Jean Meyer USDA Human Nutrition Center on Aging at Tufts University | machine learning analysis |
Greta Carnevali | University of Pisa | ImageClassification, University, Alzheimersdisease, CNN |
Greta Cheng | NA | ADNI dataset, classfication, 3D CNN |
Greydon Gilmore | Western University | fiducials, neurodegeneration, open-science |
GT LEE | None | AD, Dementia, Deep Learning |
gu ayaa | tongji | gzy122232 |
gu feng | Chinese Academy of Sciences | gufeng11 |
Gu Jinchen | ShanghaiTech University | Alzheimer's disease, Multi Modality, Generative adversarial networks, |
Gu Lou | Sun Yat-Sen University | machine learning,deep learning |
Gu profeat | changzhou university | C1972Cpp1983 |
Gu Xuming | Jilin University | Alzheimer’s Disease,semi-supervised,,machine learning |
gu zhenghseng | The First Affiliated Hospital of Naval Medical University | gzs125128 |
Guadalupe Flores Islas | Instituto Politécnico Nacional | Alzheimer classification |
Guadalupe Heribeto Rangel Robles | Universidad del SABES | DataSet |
Guadalupe Sosa Ferro| | ITBA (Instituto Tecnológico de Buenos Aires) | Alzheimer’s Disease |
Guan Huiyuan | Jinzhou Medical University | Research、Analysis、 Imaging |
Guan Wen Chen | NTHU | Alzheimer |
Guan Yu | University at Buffalo, The State University of New York | Classification, Multi-modality data |
Guan-Wei Lin | CYUT-student | Alzheimer disease |
Guanan Zhao | Lishui city people's hospital | Transferrin; Iron; Alzheimer’s disease; Mild cognitive impairment; Longitudinal |
Guang Li | University of Technology Sydney | UNet, DeepLearning, Medical Image Analysis |
Guanghao Wu | Xidian University | MRI,PET,Image fusion |
Guanghua Xiao | University of Texas Southwestern Medical Center | risk prediction model, MCI, data integration |
guanghui cheng | guangzhou university | machine learning |
Guanghui Hu | Fuzhou University / China | datasets |
guanghui Wu | 山东中医药大学 | Alzheimer's |
Guangwei Du | Penn State Hershey Medical Center | TBM, neurodegenerative disease pattern |
Guangxin Chen | University of Auckland | research |
guangxin su | czx | 214159 |
Guangyu Song | Jilin University | Registration, Deep Learning |
Guangyu Zhang | uestc | functional connectivity |
Guangyu Zhang | Leibniz Universität Hannover | Machine learning, Deep learning, SNP |
guangyu zhang | yunnan university | Alzheimer's disease |
Guangyu Zhu | UNIVERSITY OF RHODE ISLAND | feature slection |
Guangzhi Xiong | University of Virginia | fairness, interpretability, machine learning, Alzheimer's Disease |
Guannan Wang | College of William and Mary | Statistical Learning, Functional Data Analysis, Non-/Semi-parametric Statistics |
Guannan Zhu | Sichuan University | ZGN961019 |
Guannn Zhu | Sichuan University | gene/protein |
Guanpeng Li | Southern University of Science and Technology | Accelerometer, free-living data, gait, Parkinson’s Disease, Dementia |
Guanqun Cao | Auburn University | functional data, ADNI |
Guanqun Yang | BUAA | image detection |
guanxiang pei | Lanzhou Jiaotong University | CNN RNN AlexNet |
Guanxiong Luo | University Medical Center Goettingen | Artifical Intelligence |
Guanyu Ye | Ruijin Hospital, Shanghai Jiao Tong University School of Medicine | imaging genetics, polygenic risk score, AD, parkinson's disease dementia |
Guanyu Zhou | University of Electronic Science and Technology of China | Alzheimer’s disease, Machine Learning |
Guelib Bouchra | Abd el hamidm mehri Constantine 2 | Data integration , heterogeneous data, Alzheimer, machine learning |
Guido Pascariello | Universidad Nacional de Entre Ríos | neuroimaging pipeline neuropathology |
Guilherme Bauer-Negrini | Universidade Federal do Rio Grande do Sul | neuroimaging, pipeline |
Guilherme Dourado Santos | Universidade de São Paulo | Machine Learning, USP, SSL |
Guilherme Fôlego | Universidade Estadual de Campinas | AD, ML |
Guilherme Oliveira | UNICAMP | student project image processing |
Guilherme Pombo | University College London | Deep Learning, Fairness, Out of distribution, Data Bias, Generative models |
Guilherme Povala | Federal University of Pelotas | Alzheimer's disease prediction; Artificial Intelligence; Deep Learning |
Guilherme Schu | University of Coimbra | PET, fMRI, connectome; metabolic networks, functional connectivity |
Guilherme Suchard | URC | dementia |
GUILIAN CHEN | SHENZHEN UNIVERSITY | unsupervised segmentation |
Guilin Lan | 中国科学技术大学 | deep learning |
Guiling Deng | Sichuan University | aptx4869 |
Guillem Giménez | Universitat Politècnica de València | Electroencephalography; Brain connectivity; Dementia; Alzheimer Disease |
Guillermina Vivar | University of Alberta, Universidad de Guanajuato | Parkinson disease classification |
Guillermo Illana | Universidad Politécnica de Madrid | AI, Alzheimer disease, AD, preclinic, DTI, T1 |
Guimei Zhang | The First Hospital of Jilin University | Alzheimer’s disease, clinical research, new research directions |
Guixia Pan | Anhui Medical University | 174pgxbdljz |
Guixiang Liang | Shandong University of Traditional Chinese Medicine | biomedical engineering |
Gülce Lale | University Hospital, LMU Munich | Alzheimer's Disease, functional MRI |
Gulce Turhan | Marmara University | deep learning |
Gulesehar Shahid | University of management and technology | CNN |
Gulnara Gimadeeva | Higher School of Economics | Deep Learning, RNN, Data Science |
Guneet Bhogal | San Jose State University | Alzheimers |
Gunes Bayir | Bogazici University | brain networks, graph neural networks |
Guo en Cai | Union hospital | apolipoprotein E,β-amyloid ,neurodegeneration,AD |
guo hao | Jiamusi University | MRI Bi-Directional CLSTM |
guo tingting | China Medical University | AD |
guo wang | Beijing University of Posts and Telecommunications | Alzheimer's disease based on deep learning |
Guo Wei Ma | China Medical University | geo data compared |
guo wenbin | fujian medical university | alzheimer |
Guo Xiaochen | Xinjiang University | bsbfl1992 |
Guo xiaoliang | 山东师范大学 | gxl980324 |
Guo Xinyi | Shaanxi Normal University | image classification |
Guo Yu | BeiJing Normal University | data |
guo ziyv | Hebei Medical University | Apply for permission |
Guochun Yang | Institute of Psychology, Chinese Academy of Sciences | resting-state fMRI; Alzheimer's disease; decoding |
guodeng deng | ningxia | registration |
Guodong Liu | National University of Singapore | resting state MRI; prediction; Deep Learning |
GuoDong zhang | Qilu University of Technology | artificial intelligence, classification,Alzheimer's disease data |
Guoen Cai | Union hospital | neurodegeneration,APOE,DTI |
Guogen Shan | University of Nevada Las Vegas | Alzheimer Disease, Tau, amyloid |
guojie wang | Zhengzhou University of Light Industry | Alzheimer's disease,machine learning,deep learning |
Guojuan liu | Shenzhen University | ASL,AD |
guojun Gu | Tongji Hospital, Medical School of Tongji Univers | ASL |
Guojun Zhou | Guangzhou Xinhua University | Alzheimer |
guoli wong | university of science and technology of China | deep learning |
Guoli Yan | Henan University of Chinese Medicine | risk factor; predictive model; signal transduction pathway |
guoqiang li | linyi university | registration |
Guoqiang Zhang | Biogen | biomarkers |
guoqing li | University of Electronic Science and Technology of China | classify,Alzheimer's disease,federated learning |
Guoqong Zhao | Shandong University | breast cancer |
Guorong Wu | University of North Carolina at Chapel Hill | MR |
Guorong Wu | Southwest University | HRF, PET |
Guoshi Li | University of North Carolina at Chapel Hill | Effective connectivity, Functional connectivity, Brain network models |
Guotai Wang | University of Electronic Science and Technology of China | Medical Image Computing |
Guoxiang Xie | University of Hawaii Cancer Center | ADNI, Metabolomics, Dr. Wei Jia, Dr. Guoxiang Xie |
GUOXIN ZUO | CCNU | GRETNA |
Guozhao Ma | East Hospital, Tongji University School of Medicine | CSF amyloid peptide concentration; brain volume;ApoE |
Guran Yu | the affiliated hospital of Nanjing university of Chinese medicine | Alzheimer's diseas, Chinese medicine |
Gurkan Bebek | Case Western Reserve University | rapid cognitive decline, CCL2, inflammatory pathways |
Gurpreet Singh Sandhu | Wake Forest Baptist Health | MRI Alzheimer’s diseases Amyloid Cognition |
Gurupriya E | Sastra University | Azheimer |
Gustav Mårtensson | karolinska institutet | MRI, blood plasma, radiology |
Gustavo Juantorena | University of Buenos Aires | data science |
Gustavo Patow | Universitat de Girona | Whole Brain, Alzheimer Disease |
Gustavo Pinheiro | UNICAMP | DTI, Corpus Callosum, divergence map, CFCP |
Gustavo Ulloa | Universidad Técnica Federico Santa María | Classification, statistical models |
Guy Avni | HIT | AD fMRI |
Guy Howard | N/A | alzheimers, ai, computer vision |
Gwang-Won Kim | Chonnam National University | Alzheimer’s disease |
gwanghee kim | chungnam national university | statistics, machine leraning |
Gwénäelle Davrain | Pole Leonard de Vinci | music therapy |
Gwenole Hascoet | Georgia Institute of Technology | prediction, Alzheimer, progression |
GYeon Oh | University of Kentucky | Gabapentin; cognition change |
Gyumin Lee | Hallym University | cerebral infarction |
GYUN LEE | Ajou University | Deep learning |
GYUN LEE | Ajou University | Deep learning |
Gyungah Jun | Boston University | cognitive function, MRI, genome-wide association study |
H B | 深圳大学 | GCN, Machine Learning |
h bw | sylu | data |
h xy | SICHUAN Univeisity | Alzheimer mri |
H. R. Sadegh Mohammadi | Iranian Research Institute for Electrical Engineering (IRIEE) | Alzheimer, Deep Learning, Classification |
ha eun kim | BasgenBio | . |
Haakon Nygaard | University of British Columbia | polygenic hazard score, PHS, Alzheimer's, age-at-onset |
Habbiburr Rehman | Boston University | Alzheimer’s disease, Advanced age, History of dementia |
Habil KALKAN | Gebze Technical University | deep learning, representation, dimensionality reduction |
Haddada Karim | ISSAT Mahdia | AIBL, ADNI ,Alzheimer |
Hadeel Albalawi | Univeristy of Aberdeen | Alzheimer’s disease, attribute selection, classification, data mining, dementia, |
Hadeel Ghadri | University of Birmingham - Dubai | Alzheimer’s - FMRI |
HADHEMI BEN KHALIFA | ISIMS | @@351999hadhemi |
Hadi Akbari-Zadeh | Mashhad University of Medical Science | Brain Image, Age, MRI |
Hadi Azizpour Lindi | Institute of Cognitive Science Studies | AD, predict AD, MCI, Alzheimer’s disease, Mild Cognitive Impairment |
Hadi Hosseini | Stanford University | big data, prediction |
Hadi Kachmar | Amadeus | Federated learning, Artificial intelligence |
hadi kamkar | tarbiat modares university | Segmentation, corpus callosum, AD |
Haeng Jun Kim | Seoul National University hospital | Alzheimer, blood test factors |
Haeyoon Kim | Chonnam National University Hospital | cognition, biological markers, brain MRI |
Haeyoon Kim | Chonnam National University Hospital | cognition, biological markers, brain MRI |
hafedh hichri | enetcom | image segmentation , image classification |
Hafid Kadi | Univ | Dataminig |
Hafida BELFILALI | Tlemcen university | Alzheimer, early Detection, deep learning |
Hafiz Muhammad Ahsan Shehzad | Dalian University of Technology,China | Machine Learning, AI, Computer Vision |
hafssa Mediani | Mohammed V University of Rabat | Magnetic Resonance Imaging. Super-Resolution, Deep Neural Network. |
Hafsteinn Stefansson | Maastricht University | Alzheimer's detection, Deep Learning |
Hai Li | PKU | multimoal, brain network, age |
hai mo | none | AD |
Hai Nguyen Duc | Sunchon National University | ((((((((neurodegeneration) OR (neurodegenerative)) OR (neurodegenerative disease |
Hai Nguyen Duc | Sunchon National University | prolactin, neurodegeneration, Alzheimer's diseases |
Hai Shu | New York University | Deep learning, multiple testing, Alzheimer's |
haichao zhang | School of Information Science and Technology | Cluster,CNN |
Haidy arafat | helwan university | 12 |
Haifa Alshehri | Taif University | early diagnosis ,Alzheimer , Classification |
Haifeng Chen | Affiliated Drum Tower Hospital, Nanjing University Medical School | memorry function; rTMS; multimodal neuroimaging |
Haifeng Wu | Yunnan Minzu University | Machine learning, classification, deep learning |
haifeng zhang | Nanyang Technological University | Deep Learning, Neurodegenerative, Multimodal |
Haigang Jiang | biomedicine biotech | Renal cancer |
haiguang liu | 深圳技术大学 | me320717 |
HAIHONG LIU | Chengde Medical University | Mild cognitive impairment |
Haijing Sun | SYU | early diagnosis,longitudinal prediction, Alzheimer |
Haijun Li | Nanchang University | PET MRI tau FDG FC |
Hailey Gordon | West Los Angeles Veterans Affairs | Alzheimer's Dementia 2FA PET Neural Imaging |
Hailin Cai | Chongqing University | AD, |
Hailing Zhou | Central People's Hospital of Zhanjiang | Brain function analysis |
Hailun Jiang | Beijing Tiantan Hospital, Capital Medical University | Machine learning, Differential gene expression, early diagnosis biomarker |
Haining Li | XI'AN JIAOTONG UNIVERSITY | lituzi1lituzi1 |
haiou li | Hebei University of Technology | research |
Haipeng Guo | Harbin Institute of Technology | super resolution |
Haiping Zhang | Capital Medical University | Generating Adversarial Networks, Transfer Learning, Alzheimer’s disease |
haiqi li | CHINA-JAPAN UNION HOSPITAL OF JILIN UNIVERSITY | Mendelian randomization, Alzheimer's disease |
Haiqi Yin | Shanghai University of Finance and Economics | linguistics |
Haishuo Xia | Southwest University | Network analysis, Graph analysis |
Haitao Yang | Hebei Medical University | statistical genetics, multivariate regression, groupwise statistical inference |
haiwang Nan | no | biomarker、clinical investigation、medical imaging |
haixia zhang | 北京先通 | AD |
Haixing Dai | University of Georgia | NAS PET |
HAIXU LIANG | Xiamen University | Mild cognitive impairment; Alzheimer’s disease |
Haiyan Peng | Alnylam | ApoE, loss of function, AD |
Haiyang Ying | Sun Yat-sen University | Medical image registration and reconstruction |
Haiyang Zhang | Vivid Genomics | genetics, cognitive decline, machine learning |
Haiying Tang | CHDI Foundation/Management Inc. | MRI |
Haiyu Huang | Southwest Jiaotong University | Classification of Alzheimer |
haiyu ren | Harbin Engineering University | Alzheimer's disease |
Haiyuan Yu | Cornell University | non-coding, enhancer, Alzheimer's disease |
Haiyuan Yu | Cornell University | enhancer,Alzheimer's disease,rare non-coding variants |
haiyue bao | Zhejiang University Of Technology | machine learning, prediction |
Haizhen Luo | Sun Yat-sen University | fmri |
Hajar Emami | Wayne state university | Modality Transfer, Deep Learning, MRI, PET |
Hajer Karoui | Imperial College London | Graph Theory, Machine Learning, Connectomics; Multiple Sclerosis |
hakan öcal | bartin university | deep learning, modified-Vnet with new loss function |
Hakim ziani | Univerty of science and technology Houari Boumediene | clustering machine learning |
Hakin Kim | Seoul nation university | Analysis of APOE e4 |
Hakmook Kang | Vanderbilt University | functional connectivity, spatio-temporal model |
Hákon Dansson | Chalmers University of Technology | AI, Machine learning, β-amyloid, plaques |
Hala Hamdi | Mansoura University | 111999 |
hala obeid | lebanese university | alzheimer |
Haleh Akrami | University of Southern California | Diffusion model, MRI anomaly detection, Deep Neural |
Haleh Bahadori-Nejad | University of Washington | project |
Haleh Damirchi | Amirkabir university of technology | Neuroscience, machine learning, Statistics |
Haleh Siami | Islamic Azad University of medical sciences | Hsjs |
Haley Bernhardt | Washington University School of Medicine | ADNI |
Haley Fritch | The Broad Institute | proteomics, CSF, biomarkers, AD |
Haley Keenan | St. Francis Xavier University | Superagers, memory, default mode network. |
HALİME BÜŞRA TOK | FATİH SULTAN MEHMET VAKIF UNIVERSITY | Alzheimer |
halit baeloha | tel aviv university | AD, digital health |
Hamad Hamdi | Arizona State University | neuroscience, Alzheimers Disease, Convolutional Neural Network |
Hamada Al-Absi | Hamad Bin Khalifa University | Alzheimer Disease, prediction, deep learning |
Hame Wu | NEU | 123321 |
Hamed Amini | Tehran | 913151001HaA |
Hamed Danandeh | Sahand University of Technology | Image Segmentation, Alzheimer, Machine Learning |
Hamed Dehghani | Neuroimaging and Analysis Group (NIAG) | machin learning, agnig, cognitive impairement |
Hamed Fazel | Sadjad University of Technology | MRI, Deep Learning, ADNI |
HAMED fazlollahi | university of birjand | MRI ALZHIMER |
Hamed Moradi | University of Queensland | pet dynamic |
hamed sarmastynezhad | Mazandaran | Alzheimer disease diagnosis |
hamed sharifi | AIMedic | skull stripping |
Hamed Taheri Gorji | Sapienza University of Rome | Machine Learnig, AD,MCI |
Hami Mahdavinataj | Babol Noshirvani University of Technology | Deep Learning, Classification, Alzheimer's Disease, AD,MCI |
Hamid Abuwarda | Yale | connectivity, CPM, predictive modeling |
hamid ananbestani | Amirkabir University of Technology | Alzheimer’s,classification,segmention |
hamid ananbestani | Amirkabir University of Technology | Alzheimer’s,classification,segmention |
Hamid Behjat | Lund University | shape analysis, topological similarity, classification, early diagnosis |
Hamid Harandi | Tehran university of medical sciences | Alzheimer’s disease, neuroimaging, machine learning, deep learning |
Hamid Jazayeriy | Babol Noshirvani University of Technology | AD; MRI, PET, Automatic multi-classification; Deep neural network; XAI |
Hamid Rashkiany | Nanjing Hohai Univerrsity | Alzheimer disease, EEG data set |
Hamid Sohrabi | Murdoch University | ADOPIC, Alzheimer's disease, cognition |
Hamida Zouari | EnetCom Sfax,Tunisia | GCN |
Hamideh Nasiri | ZUMS | ADAS-ADSP- neuropathological-Alzheimer |
HamidR3ea Moradi | Kharazmi | Alzheimer, Image Classification, SVM, VGG |
Hamidreza Ashayeri | Tabriz university of medical science | GAP43 - tensor based morphometry - alzheimer |
Hamidreza Behjoo | Skolkovo Institute of Science and Technology | CNN, Tensor decomposition |
Hamidreza Ghasemi | K.N.Toosi university | adni1 |
HamidReza Moradi | Kharazmi university | classification, SVM, Transfer Learning |
hamidreza ostad rahimi | Petetto | machine learning, Early detection |
Hamidreza Saligheh Rad | University of Leeds | Ageing, Dementia, MRI |
Hampton Leonard | NIH | Alzheimer's Disease, GWAS, APOE |
Hampus Olsson | Max Delbrück Center for Molecular Medicine | Motion, Artifacts |
Hamsi Radhakrishnan | University of California, Irvine | NODDI, Diffusion Imaging, Cognition, Aging |
Hamza Ahmed Shad | BRAC university | Alzheimer's , Machine Language, Data |
Hamza Rajput | Mehran university of engineering and technology | machine learninf deep learning |
Hamza Tajammal | University of Engineering and Technology Lahore | Alzheimer Disease, Research Project |
Hamzah Magsood | Virginina Commonwealth university | simulation |
Han Chen | South China University of Technology | cross-media perception, intelligent interaction, intelligent health |
Han Jackey | SCU university | classification, prediction |
Han KangFu | Southern Medical University | classification |
han li | zhongnancaijingzhengfadaxue | study |
han liu | SIAT | MR,PET,AD |
han lu | Shenzhen University | gene expression data , Alzheimer'disease,neuroimage |
han lu | Nanjing University of Aeronautics and Astronautics | Alzheimer's Disease |
HAN LU | Beijing University of Posts and Telecommunications | paper analysis |
Han Su | Juntendo University | Brain、MRI、Segmentation |
Han Sun | Peking University | Alzheimer’s disease,photodynamic therapy,Aβ |
Han Tian | Xi’an Jiaotong University | Time series analysis; AD’s progression prediction; |
HAN TING | ahuniversity | cross-model registration |
Han Wang | University of Science & Technology of C | longitudinal data;master's thesis |
han wu | neu.edu.cn | ASL |
Han Wu | Fudan University | wh19921214 |
Han Wu | Fudan University | wuhan19921214 |
han xia | Hubei University Of Technology | mci |
Han Xiao | Changchun University of Technology | ADNI dataset ,Hippocampal image |
Han Xie | Hanyang University | CNN, fMRI |
Han xue | Changchun University of Technology | Disease diagnosis; Radiomics; Precision medicine; |
Han Xue | Tsinghua University | deagnostic program, no commercial use |
Han Yu | NYU Langone | MRI, white matter lesion |
Han Zheng | Tencent | brain aging, LS-GAN |
Hanbin Cho | University of Washington | Alzheimer's disease |
hanbing dong | Shandong Institute of Medical Device and Pharmaceutical Packaging Inspection | AI |
Hancan Zhu | Shaoxing University | Image segmentation, deep learnig, image denoising |
Hanchao Zhang | Johns Hopkins University | Deep learning, convolution, feather recognization |
hanchong zhou | University of Calgary | image registration, deep learning |
Hanem Saad | Egyption | Alzehimar,MRI |
Hang Cao | Xuanwu Hospital, Capital Medical University | brain tumor study; brain network |
hang du | University of Electronic Science and Technology of China | data processing |
hang keying | 杭州电子科技大学 | Image classification;image fusion |
hang liu | Dalian University of Technology | Graph Convolutional Network, Disease Prediction |
Hang Xing | Beihang University | AD,MRI,PET,multi-modal,diagnosis |
hang yang | North China Electric Power University | 199842 |
Hang-Rai Kim | Korea advanced institute of science and technology | Amyloid, MCI, Deep Learning |
hangyuan cheng | university of jilin | deep learning about medical |
Hangyul Yoon | KAIST | Artificial Intelligence |
Hanhui Li | Guilin University of Electronic Technology | Alzheimer's Disease Recognition, Classification, Deep Learning |
HanI Chang | Ajou | AD |
Hani Shala | faculty of computers and information | AD, detection |
hanie zand | amirkabir university | gene , alzheimer' disease , biomarker , amyloid beta |
Hanieh Arjmand | University of Toronto | Alzheimer; Machine Learning, Medicss |
Hanieh Arjmand | University of Toronto | Alzheimer; Machine Learning, Medicss |
Hanieyh Siavashi | Sirjan University of Medical Science | RBC executive_function |
haniyeh amini | UMSU | AD, CSF, biomarkers, Genes |
Hanjiaerbieke Kukun | First Affliated Hospital of Xinjiang Medical University | Freesurfer, AD, Hippocampus |
Hanjun Hu | Zhejiang Chinese Medical University | AD fMRI |
Hankyeol Kim | Yonsei univ | Atypical AD |
Hankyo Jung | Yonsei University College of Medicine | generative model, multi-modalities |
hanlei liu | QuFuNormalUniversity | AD Classification |
Hanlin Cai | Sichuan University, West China hospital | mother39 |
Hanlin Wang | Capital Medical University | AD; DTI; Structural connectivity |
Hanlin Yue | Beijing Institute of Radiation Medicine | radiation; cognitive impairment; transfer learning; classification; |
Hannah Carns | Penn State College of Medicine | Access for intern on study #18557 |
Hannah Chandler | Cardiff University | MRI PET genetic risk |
Hannah Clavin | University of Nottingham | Alzheimer's Disease Imaging Dissertation |
Hannah Coleman | University College London | machine learning, deep learning |
Hannah Cowley | Johns Hopkins University Applied Physics Laboratory | connectomics, precision medicine, data science |
Hannah Klinger | Massachusetts General Hospital | Longitudinal Analysis, Sex Differences |
Hannah Sailar | Georgia Tech | classification |
Hannah Sudharson | SSN College of Engineering | AD , |
hannah trotman | Cardiff university | Alzheimers Radiomics |
Hannes Almgren | Ghent University | Effective connectivity, structural connectivity, cognition |
Hannes Schroter | Technical University Munich | siamese neural networks, desease severity, explainability |
hanni Jiang | Shanghai University of Medicine&Health Sciences | Imaging genomics; Alzheimer's disease |
Hanrui Zhang | University of Michigan | Machine learning; Alzheimer's disease; accelerometer |
Hans Frischhut | Cooperative State University Baden-Wuerttemberg | Causal Structure Discovery, Machine Learning, Causality |
Hans J. Moebius | Exciva (UG) | Neuropsychiatric inventory, Alzheimer's Disease |
Hans-Christian Fritz | German Center for Neurodegenerative Disease | basal forebrain, functional connectivity |
Hans-Georg Buchholz | University Medical Center | NEUROSTAT, SPM12 |
Hans-Georg Müller | UC Davis | neuroimaging, resting state, functional data analysis, statistical methodology |
Hans-Jürgen Huppertz | Swiss Epilepsy Centre | MRI postprocessing, voxel-based volumetry, probabilistic brain atlas |
hansong lee | Pusan National University | Artificial Intelligence |
Hanuman Chinthapalli | NA | Alzheimer's Disease, CNN |
Hanuman Prasad thati | IIT Kharagpur | Re-inforcement learning in Medical Imaging Analysis |
Hanwen Bi | Columbia University | Functional connectivity, VAE |
Hanwen Wang | University of Pennsylvania | MRI |
Hanxi Chen | Shanghai jiao tong university | causal discovery |
hany said | AAST | deep learning, CNN |
HANYEOL YANG | Hanyang university, south korea | Anomaly detection |
Hanyi Chen | University College London | subtype, disease progression, SuStaIn, AD |
Hanyu Wei | Tsinghua University | Parkinson's Disease, MRI, Mild Cognitive Impariment |
Hanyu Zhu | wenzhou medical university | neurology,inflammation |
hanyue zhang | The First Affiliated Hospital of Zhengzhou University,Henan,China | study and research |
Hanyul Ryu | Seoul National University Bundang hospital | CNN, Homomorphic encryption, Deep Learning, quantum computing |
Hanzhi Gao | University of Florida | Matrix Masking, Neural Network over Masked Data |
hanzhi wang | Cardiff University | machine learning, brain age prediction |
Hanzhong Zheng | University of Pittsburgh | harmonization, deep learning |
Hao Chen | Shandong University of Finance and Economics | Brain Network Analysis, Alzheimer's disease, Classification |
Hao Chen | Peking University | gene expression, rs-fMRI, Functional Network, Integrative Analysis |
Hao Chen Liu | China Pharmaceutical University | disease progression model metabolic networks |
Hao Dang | Beijing University of Posts and Telecommunications | deep learning |
Hao Di | XJTU | Result repeat |
hao feng | 东北大学 | fmri |
hao geng | The First Hospital of Hebei Medical University | DMN |
Hao Geng | The First Hospital of Hebei Medical University | research |
Hao Guan | UNC at Chapel Hill | machine learning, AD classification, MCI prediction |
Hao Guan | The University of Sydney | Deep learning, disease prediction, interpretable image analysis |
Hao He | Georgia Institute of Technology | course project |
Hao Li | University of Alberta | Machine learning |
Hao Li | UCAS of Wenzhou | 数据挖掘和量表分析 |
HAO LING | Capital Medical University | cholesterol;27-Hydroxycholesterol;Alzheimer's Disease;Mild cognitive impairment |
Hao Liu | Shanghai No.6 people's hospital | Asymmetry, fMRI, AD |
Hao Liu | Indiana University School of Medicine | Machine learning, longitudinal data |
Hao Luo | Sun Yat-sen University | Alzheimer's disease; Functional connectivity; longitudinal ; Machine learning |
hao ma | scu | shengkai |
Hao Ma | Beijing Jiaotong University | AD classification, prediction research based on resting state |
Hao Nana | Donghua University | hippocampus,hippocampus,study |
Hao Pan | DHU | machine learning |
Hao Peng | South China University of Technology | Causality detection, multi-step prediction |
Hao Ren | Shenzhen University | Alzheimer’s disease, Deep Learning, survival analysis model |
Hao Ren | Shenzhen University | Alzheimer’s disease, Deep Learning, survival analysis model |
Hao Shu | Zhongda Hospital, Southeast University | Alzheimer's disease, imaging genetics, dpisodic memory |
Hao Wang | VoxelCloud | Alzheimer's Diease |
Hao Wang | Nanjing University of Aeronautics and Astronautics | wanghao123456789 |
hao wang | WEI FANG MEDICAL UNIVERSITY | 123wh456 |
Hao Wang | Lanzhou University of Technology | Reproduce self supervisedlearn |
Hao Wu | Hunan Normal University | fMRI;Genes;Alzheimer disease |
Hao Yuan Bai | McGill University | Graph Model, Alzheimer's Staging |
hao zhang | China-Japan Friendship Hospital Affiliated JilinnUniversity | support detabase |
hao zhang | Shandong University | student;research |
HAO ZHANG | Dalian Medical University | metabolomics, radiomics, machine learning, connectomics |
hao zhang | China-Japan Friendship Hospital Affiliated Jilin University | neuron |
Hao Zhao | UCSD | brain,MRI,Alzheimer's |
Hao ZHENG | Tokyo Institute of Technology | Deep learning, large model, cross-modality |
Hao Zhou | Yanshan University | fMRI |
Hao Zhou | Yanshan University | MRI |
Hao-Chun Yang | Ph.D Candidate, National Tsing Hua University | deep learning, representation learning, neuro-image processing |
Hao-Wen Ting | National Tsing Hua University (Hsinchu) | NTHU |
haobing li | Xi'an Jiaotong University | Medical image segmentation |
Haochun Wang | Harbin Institute of Technology | ADNI; patient similarity |
haoda wang | tsinghua university | machine learning |
haodi mao | SHU | brain science; Deep Learning |
Haodi Zhu | Hangzhou Dianzi University | Alzheimer's disease research |
haodong guo | apm of the cas | ad mechain learning |
haodong wang | university of North Carolina at chapel hill | multivariate regression, missing data |
Haodong Wang | Tianjin University of Technology and Education | EEG fMri AD Epileptic |
Haoer Shi | Universities of Pennsylvania | fMRI, Alzheimer's Disease, clinical diagnosis |
Haofeng Li | Shenzhen Research Institute of Big Data | Deep neural networks, Image classification |
Haohan Wang | Carnegie Mellon University | population stratification, GWAS, prediction |
Haoji Zhang | Tsinghua University | classification, video recognition |
Haokang Zhang | Rensselaer Polytechnic Institute | Disease progression |
Haoliang Duan | Anhui University | Xiyang1997 |
HaoLin Yin | West China Hospital, Sichuan University | AD, deep learning, magnetic resonance imaging |
Haonan Fu | Beijing University of Chinese Medicine | AD therapy diagnosis |
haonan li | Tianjin Medical University General Hospital | AD |
Haonan Sun | Northeastern University | Graph convolution neural network |
Haonan Zhou | Columbia University | cycleGAN |
Haoran Chen | Shanghai jiaotong university | metabolic pathway,transcriptome and metabonomic data |
Haoran Li | Soochow University | dashen003008 |
Haoran Luo | Harbin Engineering University | alzheimer |
Haoran Sun | China | paper |
Haoran Xue | University of Minnesota at Twin Cities | Statistical Methods |
Haoshen Wu | QDU | TN+ |
Haoteng Tang | Pittsburgh University | ADNI, brain network, machine learning |
Haotian Bai | Shanghai University | machine learning |
Haotian Huang | Sun Yat-sen University | Alzheimer's illness, PINN, partial differential equations |
Haotian Li | Beijing Normal University | machine learning, graph neural network |
Haotian Wu | Jiangsu Province Hospital of TCM | MCI;Aβ;Tau;PET |
Haotian Zhang | Tongji University | registration |
Haotian Zou | UNC-CH | MRI preprocessing; joint model |
Haowei Hua | The Culver Academies | neural network |
Haowei Hua | The Culver Academies | machine learning deep learning, graph neural network, bio information |
Haowei Li | The University of Tokyo | fMRI, mice model |
Haowei Liu | Chongqing university | Alzheimer’s Disease |
Haoxiang Liu | McGill University | GNN, fMRI, functional connectivity |
Haoxuan Liu | Beijing University of Technology | deep learning , alzhe |
Haoxue Xiang | Johns Hopkins Bloomberg School of Public Health | Machine learning, AI, neuroimaging |
Haoyan Jiang | University of Toronto | Machine Learning, deep learning, treatment effect |
Haoyu Chen | University of Chicago | image classification, Alzheimer's disease |
Haoyu Hu | Zhejiang University | brain network, deep learning |
Haoyu Qi | Northwest University, China | Qihaoyu27 |
Haoyu Wang | Zhejiang University of Finance and Economic s | deep learning |
haoyu zhai | Dalian University of Technology | registration,template generation |
haoyuan chen | Northwest Normal University | predict onset time, deeplearning |
Haoyue Liang | Cornell University | fractal dimension, box counting |
Haoyue Yuan | Heilongjiang University | barin age estimation,MRI |
Haoyue Yuan | Heilongjiang University | barin age estimation,MRI |
Haoyue Zhang | UCLA | deep learning, brain MRI |
Haozhen Shu | National University of Singapore | Functional data analysis |
Haposan Napitupulu | University of Indonesia | Image |
happy Meng | Harbin engineering university | 毕业设计 |
Hardeepinder Maghera | Ryerson University | CNN,Transfer learning, Alzheimer's |
hardi patel | Victoria University | Alzheimer's Disease |
Haresh Rengaraj Rajamohan | New York University | Deep Learning, AD, Regularization, |
Hari K | Kongu Engineering College | Alzheimer, Mri Dataset, Artificial Intelligence |
Hari Phi | TechieYan Technologies | Machine learning, Robotics |
Hariharan Jeyachandran | Vellore Institute of Technology | Explainable AI, Gene Expression, DNN |
Hariharan Muthusamy | National Institute of Technology Uttarakhand | Proteomics based biomarkers, machine learning and deep learning. |
HARIKA DASARI | KAKATIYA INSTITUTE OF TECHNOLOGY AND SCIENCE | Alzheimer’s Diseases, dementia,R-CNN,multi-classification |
Harika Malapaka | MGH | Amyloid and Tau |
Harilal P | Amrita Institute of Medical Sciences, Kochi. | PET normal images |
harimohan rai | kec | MRI, ANN |
Haripriyan R T | Anna university | We want dataset for the detection of Alzheimer's disease |
Harish K | GRIET | AD, ML, DNN |
Harishma M Babu | Rajagiri School of Engineering and Technology | medical image synthesis, MRI, PET synthesis |
HARITHA DAMARLA | MATURI VENKATA SUBBARAO ENGINEERING COLLEGE | Mutimodal, image, cinical/patient personal information |
Harjas Gill | Bionics Institute | Transcranial Magnetic Stimulation (TMS), Alzheimer's disease, MRI data |
Harkirat Sohi | University of Washington | Machine Learning, AD Diagnostics |
Harold Antonio Hernández Roig | Universidad Carlos III de Madrid | fMRI, BOLD signals, stringing, functional data, Alzheimer's disease |
Harold Chattaway | Software Life Cycle | MRI Alzheimer's AI |
Harold Tan | UMC Utrecht | MRI-based patient clustering |
Haroon Burhanullah | Johns Hopkins University | Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging |
Haroon Chughtai | UCL | FAIR, large-scale processing |
Harri Pölönen | VTT Technical Research Centre of Finland | AI, artificial intelligence, privacy, synthetic data, data synthesis |
Harriet Demnitz-King | University College London | Biomarker statistics |
Harrison Reeder | Harvard TH Chan School of Public Health | survival analysis, accelerated failure time, variable selection, longitudinal |
Harrison Watters | Emory | alzheimer, QPP, fMRI |
Harry Azadbakht | TMU University | Alzheimer Disease, Prediction, Regression |
Harry Costello | University College London | Depression, Alzheimer’s |
Harry Liu | ECNU | ADNI, Database, Sample, MRI, PET |
Harry Salt | University of Exeter | Neural Networks, AD Diagnosis, Biomarkers |
Harsh Bandhey | IIIT Delhi | 3D-CNN, Classification, MRI, MICCAI |
Harsh Bhasin | Jawahar Lal Nehru University | MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian |
HARSH DALAI | NIT RAIPUR | ADNI |
Harsh Jain | BITS Pilani, Goa Campus | Alzheimer's, Deep Learning |
Harsh Mishra | Manipal University Jaipur | Classifying Dementia |
Harsh Sinha | University of Pittsburgh | compliance, consistency, protocol, harmonization |
HARSH VARDHAN | NIT HAMIRPUR | Kill |
harsha gannamaneni | lawrence tech university | alzheimers, diagnosis |
Harsha Koneru | New York University | Deep learning, Mild Cognitive Ipairment |
Harsha Nandhini S | Amrita Vishwa Vidyapeetham | Alzheimers detection |
Harsha Vardhan Nagalla | National Institute of Technology, Warangal | Deep Learning, Brain Stroke MRI Images |
Harshad Shah | Mukesh Patel School Of Technology Management and Engineering | Deep Learning Model, Generative Adversarial Networks, Alzheimer's Detection |
harshal ugale | Center for development in advanced computing | IMPEMENTing Deep learning on dataset |
Harshal Ugale | sapkal knowledge hub | Alzheimer's diseases MRI scam IMages dataset |
Harshel Bahl | Harvard Medical School | Alzheimer's, deep learning, harvard, student, survival |
Harshiat Dogra | Florida State University | DWI |
Harshil Champaneria | Arizona State University | Research Project on Deep Learning |
Harshini Bonam | Rutgers University | CS527 Databases for Data Science course project |
Harshit Jain | Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune | Alzheimer's disease Magnetic resonance imaging (MRI) Machine learning Convolutio |
Harshit Khandelwal | Indiana University | detection, deep learning |
Harshit Maheshwari | University of Bristol | Genomic, multi-modal, Alzheimer's disease, biomarkers |
Harshit Parmar | Texas tech University | fMRI, Alzheimer, deep learning |
Harshitha Bingi | University of Hyderabad | Brain networks, Topological Data Analysis |
harsimran guram | LPU | Machine learning, deep learning,dementa |
Haruhisa Inoue | Kyoto university | Aβ, iPS cells, GWAS |
Harveen Sekhon | The Chicago School of Professional Psychology | Concussion, Multiple Concussions, Concussion Severity, Concussion History |
Harvey Felipe | Ateneo de Manila University | Genetic NLP, predicting Alzheimers', deep learning |
Harvey Kolle | University of Applied Sciences Deggendorf | classification, neural network |
Hasan Al Marzouqi | Khalifa University of Science and Technology | deep learning, residual networks, constitutional networks, SNPs |
Hasan Atakan Bedel | Bilkent University | Deep learning, disease bio-marker, fMRI |
Hasan Hammad | Iran University of Science and Technology | Computer Vision, Medical Images, ICAM, Artificial Intelligence |
Hasan KOYUNCU | Konya Technical University | Image Analysis |
Hashem Kalbkhani | Urmia University of Technology | Time-Frequency, deep model |
hashem zamanian | ucsf | adni |
Hasibul hasan | Rajshahi University of engineering & Technology | convolutional neural network, Alzheimar's disease |
Haşim Gezegen | Istanbul University, Faculty of Medicine | Alzheimer's disease, white matter hyperintensity, cerebral small vessel disease |
Hasna Noor Alifa | Gadjah Mada University | Alzheimer Disease, Therapeutical Nuclear Medicine |
Hassan Abdulrasul | University of Toronto | neurodegeneration |
Hassan Abida | Cadi Ayyad University | ADNI, Research, VGG, CONVLSTM |
Hassan Jaber | Warsaw University of Technology | Alzheimer |
Hassan Mahmood | Edith Cowan University | longitudinal |
hassan Milani | university of kufa | deep learning, MRI , alzehimer |
Hassan Rivaz | Concordia University | Alzheimer's disease, Parkinson's disease, Image analysis, imaging biomarkers |
hassen MAHDHAOUI | fsm | ALZEIHMER DEEP LEARNING |
Hatice Busra Konuk | Gebze Technical University | metabolic reaction rate |
HATİCE KÜPELİ | antalya bilim ve sanat merkezi | AI, Healty |
Hau Yi Jade Fok | The University of Hong Kong | structural MRI |
Haulath K | Calicut University | feature selection |
Håvard Godal | The University of Stavanger | Master's Thesis, MRI, GAN |
Hawraa Abbas | Kerbala University | Dementia classification |
Haya Akkad | University College London | speech dementia logopenic |
Hayato Arai | ONO PHARMACEUTICAL CO., LTD. | clinical trial simulation |
hayato nozaki | Juntendo | Synthesized b0 for diffusion distortion correction (Synb0-DisCo) |
HAYDEE GARCIA | LIN | DATANMA |
Haykel Snooussi | UT Health Science center San Antonio | alzheimer's disease, brain aging, deep learning |
Hayley Shanks | University of Western Ontario | Alzheimer's Disease, cholinergic, basal forebrain, lipid |
Haymanot Gebre-Amlak | University of Missouri - Kansas City | Signal Processing, AI and Big Learing |
Hazal Ozlen | McGill University | amyloid, tau, PET, cognition |
Hazel Helfman | University of Texas at Austin | Alzheimers,homocystine,isoprotane,random forest,machine learning,predictive mode |
Hazem Al-Takleh | Damascus University | Machine Learning, Software Engineering, Mobile application Development. |
Hazem Amamou | ENIT | #DeepLearning #Alzheimer #Diagnosis |
Haziq Farooq | National University of Computer and Emerging Sciences | Alzheimer's, Transformer, ADNI, Medical Image, Deep Learning |
He Cong | Jiangnan University | image registration; Alzheimer's disease |
HE GUIYING | ruijin hospital | alzheimer's disease;fmri;early diagnostic markers |
He HaiJun | Wenzhou Medical University | biomarkers, neurodegenerative diseases |
He HaiJun | Wenzhou Medical University | biomarkers, neurodegenerative diseases |
He JiaChuan | The First Hospital Of China Medical University | r-fmri |
He Jing | Tianjin Normal University | Discipline research |
he kanghui | jiangnan university | deep learning |
He Li | Shan Dong First Medical University | Radiology; Medical |
He Meirong | Sichuan university | research AD |
He MengXI | yunnan university | coz |
He Mengyao | Nankai University | hmy960428 |
He Sun | California Institute of Technology | Deep learning, fast MRI scan, generative model |
He xuan | Sichuan University | computer,Medical Science |
He Zhongyi | zhejiang university | Alzheimers Res Ther |
Heather Kwan | University of Victoria | White Matter, VBM |
Heather Mayfield | University of Texas at San Antonio | Biomarkers |
Heather Wiste | Mayo Clinic | ADNI, demographics |
Heba AL.Marwi | Sana'a University | Feature selection Multi-objective optimization |
Heba Zaina | HBKU | AD MCI MRI |
Heba Zaina | HBKU | Normal Control - Mild Cognitive Impairment - Alzheimer |
Hebert Caballero | University of Alberta | episodic memory, biomarkers, random forest |
Hector Castellanos | Cuban Neuroscience Center | Supervised Learning, Machine Learning |
Hector Gomez | Albizu University | alzheimer, language, hispanic, cognition, sex differences |
Héctor Ramírez | INNN | Alzheimer, mri |
Hector Vargas | Universidad Manuela Beltran | image processing |
Hédia Tnani | Pasteur Institute of Tunis | GWAS, Genetics, R |
Hedieh Raeisi | University of Tehran (NBIC) | Alzheimers,Deeplearning |
Hedong Yan | Hong Kong Baptist University | multimodal causal learning and reasoning with heterogeneous datasets |
Hedong Yan | Hong Kong Baptist University | Learning causal structure and response to cross-layer queries among heterogenous |
Hedy Zhang | State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affili | Alzheimer‘s disease ,Convolutional Neural Network |
Heejong Kim | New York University | Longitudinal modeling |
Heejoon Koo | Yonsei University | PET |
Heejoon Koo | Yonsei University | PET |
Heekyung Kih | Korea university | Generative Models, GAN, Image Synthesis, Deep Learning |
Heena Manglani | The Ohio State University | Functional connectivity, structural connectivity, Multimodel connectome |
Heena Manglani | The Ohio State University | Functional connectivity, structural connectivity, Multimodel connectome |
HEENA PANJWANI | SSIT | CNN |
Heerim Yun | Seoul Woman University | Deep-learning |
heesoo ryoo | chosun university | AI algorithm CNN YOLO |
Heewon In | Yonsei University | Deep Learning Study |
Heeyoung Kim | Kosin University Gaspel Hospital | amyloid PET |
Hegler Tissot | University of Pennsylvania | machine learning, clinical knowledge graph embedding, hextrato |
Hei Wein | hallam University | Healthcare |
Heibei Gao | Hangzhou Normal University | PD AD MC cognitive diseases |
Heidi Jacobs | MGH / Harvard Medical School | brainstem; metabolism; tau; amyloid; diffusion |
Heitor Cardoso | Institute for Systems and Robotics | machine learning, psychology |
hejie li | Southwest University for Nationalities | study |
hejie li | Southwest University for Nationalities | study |
Hejun Liu | Beijing Normal University | GWAS replication |
hela ZAYANI | ecole nationale d'ingenieur de Carthage | Neuroimaging, early detection , alzheimer |
Helen Bear | Queen Mary University of London | genetic, cognitive, biological, womens health, assessments |
Helen Beaumont | University of Manchester | diffusion DOC atlas |
helen hu | SHU | AD diagnosis |
Helen Le-Niculescu | Indiana University School of Medicine | Alzheimer |
Helen Piontkivska | Kent State University | bioinformatics, RNA editing, neurodegeneration |
Helen Shiells | GT Diagnostic Centres | Cognition, Early Decline, Neuropsychological Assessment |
Helena Balabin | Fraunhofer Scientific Computing and Algorithms Institute (SCAI) | Machine Learning, Multimodal Classification |
Helena Pereira | NOVA School of Science of Technology | alzheimer's disease, cognitive impairment, MRI, machine learning |
Helene Urien | ISEP | PET, Deep Learning |
Helia Givian | - | 0440571898 |
Helia Givian | Islamic azad university south tehran branch | Alzheimer’s disease, deep learning, machine learning |
Helia Givian | South Tehran Branch of Islamic Azad Universiy | Alzheimer's disease, Neurological disorder, deep learning, MRI |
Helia Hashemolhosseiny | Alzahra | Alzheimer-CNN-deep learning |
Helia Hosseini | Tehran university of medical sciences | Alzheimers disease, hippocampus, brain volume. |
Helin Wang | SHANDONG UNIVERSITY | Multimodal deep learning; Alzheimer’s disease |
Helmet Karim | University of Pittsburgh | Deep Neural Network, Prediction, AD |
Heloiza Cruz | PUC MINAS | alzheimer's |
Hemant Kumar | Chhatrapati Shahu Ji Maharaj University | MRI, Quantum Machine Learning, PET, Deep Learning |
Hemant Mahajan | Pune | MRI dataset, performance evalaution |
Hemant Tagare | Yale University | Machine learning, FDG-PET, MCI |
Hendrik Burwinkel | Technical University Munich | Graph-based deep learning, machine learning |
Heng Gu | Nanjing Forestry University | Canonical Correlation Analysis,ADNI |
Heng He | Fujian Medical University | AD; epidemiology |
Heng He | Fujian Medical University | AD; epidemiology |
Heng Wang | Nanjing University of Posts and Telecommunications | ShuWei Cup, Intelligent diagnosis |
Heng Xiao | Huazhong University of Science and Technology | brain PET, AD, Deep Learning |
Heng Zhang | Shandong Provincial Hospital Affiliated to Shandong First Medical University | Atherosclerosis, Alzheimer's disease, Lipid metabolism |
Heng Zuo | Sichuan Normal University | Functional connectivity, rs-fMRI |
hengda he | columbia university | resting state data deep learning |
Hengda He | columbia university | fMRI, T1, deep learning, research |
Hengde Zhu | University of Leicester | deep learning, prediction, MCI, ADs |
hengheng wu | South-Central Minzu University | Alzheimer's disease |
henghua zhang | South China University of Technology | cnn;Alzheimer's disease |
Henghui Qi | Renmin University of China | multimodal; clustering |
Henghui Qi | Renmin University of China | multimodal; GCN; CNN |
hengjin ke | Wuhan University | fMRI, machine learning |
hengkun zhu | Capital Normal University | model averaging; missing data |
hengling zhao | UESTC | DTI |
Hengxin Li | UESTC | ANDI |
Henne Holstege | Amsterdam UMC | Genetics, Alzheimer |
Henrik Honkanen | Stockholm University/Karolinska Institutet | CNN, Machine learning, Classifier |
Henrik Lind | Biomedical Science and informatics | Machine Learning |
Henrik von Kleist | Helmholtz Zentrum München | Active Feature Elicitation, Machine learning, Disease classification |
Henry Alberth Escobar Inquil | Universidad Nacional Micaela Bastidas de Apurímac | Vilcabamba28 |
Henry Horng-Shing Lu | National Yang Ming Chiao Tung University, Taiwan | statistical learning |
Henry Liu | OUC | 123456 |
Henry Oluka | University of Victoria | Alzheimer’s disease |
Henry Ritts | The Hill School | Hill School |
Henry Tregidgo | University College London | Thalamus, structural and diffusion MRI, segmentation |
Henry Zeidan | Z-Educational Center and Reference Laboratory | Dementia and demographics |
henu Li | Zhengzhou University | classification |
Heqin Zhu | Institute of Computing Technology, Chinese Academy of Science | Landmark detection |
Hermanna Hu | hcit.ai | DATA ANALYSIS, AI MODEL TRAINING |
Hernan Ceferino Vazquez | Universidad Maimonides | Mild Behavioral Impairment, MBI, Machine Learning, ML |
Hernan Chaves | Fleni | Hippocampal subfields |
Hernán Claudio Külsgaard | Pladema | Medical image analysis, atrophy detection, deep learning |
herve Nbnonsou | University of cape town | MRI, CT |
Herve RHINN | Alector | Genetics Alzheimer's Biomarkers |
Herve RHINN | Leal Therapeutics | Genetics Biomarkers |
Hesamoddin Jahanian | University of Washington | Arterial Spin labeling, ASL, FDG-PET, metabolism, AD, Mild cognitive impairment |
Hessam Ahmadi | Islamic Azad University, Science and Research Branch | fMRI, Non linear, graph theory, functional connectivity |
Hetvi Dhimmar | SRM UNIVERSITY | for project |
Hewei Cheng | Chongqing University of Posts and Telecommunications | multi-modality; classification |
Hewei Cheng | Chongqing University of Posts and Telecommunications | brain disease, brain parcellation |
heyan qin | Hainan Medical University | qinhuohuo123 |
Heyang Wang | Nanjing university of Aeronautics and Astronautics | Alzheimer, Deep learning |
heydar abedi | Amirkabir university of technology (Tehran polytechnic) | Alzheimer disease - MR images |
HEYTHEM BENTAHAR | University of Mostaganem | AD, Classification, Prediction, Deep Learning |
Hezhe Qiao | UCAS | MMSE, Deep Learning, MRI, Series |
hf t | ShanghaiTech University | ad |
Hiba Kazmi | IXICO | image analysis, MRI, advanced MRI |
Hichem Sahli | Vrije Universiteit Brussel (VUB) | Deep Learning, predictive neurodegenerative disease evolution |
Hidekuni Yamakawa | Shionogi Co.,Ltd. | Tau |
Hidemasa Takao | Graduate School of Medicine, University of Tokyo | mri |
Hidemi Kamezawa | Teikyo university | Radiomics |
Hideyuki Takahashi | Yale University | sortilin SORT1 |
Hieab Adams | Erasmus MC University Medical Center | Neurodegeneration, high-dimensional data, brain imaging, genetics |
Hieu Duong Minh | Vietnam - Korea Institute of Science and Technology | EEG signal |
Hieu Nguyen | National Institute on Drug Abuse | deep learning, recurrent neural network, convolutional neural network |
Hikaru Takahashi | JT Inc. | biomarkers of AD |
Hilario Castañeda | Universidad Nacional de Ingenieria-Docente investigador | machine learning |
Hilit Aharoni Segev | Bar Ilan University | Personalized Federated Learning , Segmentation |
Hillary Protas | Banner Alzheimer's Institute | PET analysis , Alzheimer's Disease |
Hilmi Syamsudin | Universitas Negeri Semarang | Alzheimer |
Hima Rad | Griffith University | AD, Multi omics, MRI, Neurodegenerative disease |
Himanshu Bansal | KIET Group of Institutions, Ghaziabad | deep neural networks, Multi-view clustering Alzheimer’s disease (AD) progression |
Himanshu garg | thapar university | Thanks |
Himanshu garg | thapar university | Thanks |
Himanshu Pant | Graphic Era Hill University Bhimtal | AD, Dementia |
hina shaheen | wilfrid laurier university | Alzheimer's Disease |
Hinata Hashimoto | Kyoto University | Alzheimer's |
HINATA TAKAHASHI | Juntendo university | Create your own database that is easy to use for AI |
Hind Alshammari | university of Hail | Alzheimer's disease, brain imaging, Deep learning, Image classification, 3d CNN |
Hind Raki | Mohammed VI Polytechnic University | machine learnig, interpretability, transformers, systems biology |
Hirenkumar Mewada | Prince Mohammad Bin Fahd University | image processing, Deep Learning, |
Hiroki Abe | Yokohama City University / Japan | Alzheimer |
Hiroki Koshimichi | Shionogi & Co., Ltd. | Alzheimer disease progression model |
Hiroki Nakano | IBM Japan, Ltd. | Amiloyd PET, Deep learning |
Hiromichi Tsukada | Chubu University | mathematical modeling approach |
Hiromitsu Daisaki | Gunma Prefectural College of Health Sciences | Deep learning AI PET |
HIRONOBU ENDO | Johns Hopkins University | MRI cloud |
Hironobu Endo | National Insturutes for Quantum Science and Technology | tau PET, AD, MRI |
Hiroshi Matsuda | Southern Tohoku Research Institute for Neuroscience | Structural network and amyloid |
Hiroshi Tsugawa | Tokyo University Of Agriculture And Technology | untargeted metabolomics, informatics, multiomics |
Hirotaka Iwaki | National Institute on Aging, National Institutes of | GWAS |
Hirotaka Takita | Osaka Metropolitan University | image synthesis, amyloid PET, MRI |
Hiroto Kuwabara | Johns Hopkins University | tau-positive scan; tau-neuromaging |
Hiroyuki Akama | Tokyo Institute of Technology | harmonization, resting-state functional connectivity, Deep learning |
Hiroyuki Maruoka | Tokyo medical and dental university | neuroimaging |
Hiroyuki Tatekawa | Osaka Metropolitan University | amyloid, dti |
Hiroyuki Yamaguchi | Yokohama City University | neuroimaging |
Hishaam Jackaria | University of Mauritius | deep learning based Alzheimer prediction model |
hishen won | PEKiing UNiversity | 11111 |
HITESH ATHWANI | UNIVERSITY OF LUCKNOW | MACHINE LEARNING, PREDICTION Alzheimer |
Hitesh Pradhan | IIT Gandhinagar | AD, Alzheimers, Machine Learning, CNN |
Hitesh Pradhan | Indian Institute of Science | Longitudinal study; MRI; Dementia; AD; Biomarker; Early detection; AI |
HJ H | uestc | fMRI AD |
Ho Loong Siu | The University of Hong Kong | Morphometry |
Ho Yub Jung | Chosun University | localization, machine learning, neural network |
Hoan Ngo | Florida Southern College | Alzheimer's Disease, Early Detection, Artificial Intelligence |
Hoang Gia Minh | Gwangju institute of science and technology | connectivity |
Hoang Le | International University - Vietnam National University Ho Chi Minh City | AI, alzheimer, computer vision |
Hoang Nguyen | Vietnam International University | alzheimer’s diagnosis |
Hodan Farah | Stanford University | Tau, amyloid beta, Stanford, project, neuro imaging |
Hoi-Chung Leung | Stony Brook University | Parkinson's disease, Alzheimer's disease, biomarkers |
Hojin Yang | University of Nevada Reno | imaging data; prediction; biomarker |
Holly Echlin | York University | sub-concussive, mild traumatic brain injury, aging, neuroimaging |
Holly Stripling | Avid Radiopharmaceuticals Inc | PET and MR images |
Homa Seyedmirzaei | Tehran University of Medical Sciences | Alzheimer's disease, Gap-43, TBM |
Homaira Huda Shomee | BRAC University | AD,Neural Network |
HOMAYOON KHALEDIAN | Tehran Azad medical university | MCH-MMSE-AD-MCI |
honey vafaee | University Of Tehran | mulitomics |
hong boyi | 华南理工大学 | Classification of Alzheimer's disease |
hong dan | xiamen | study adni |
hong dan | xiamen | study adni |
Hong Gao | Southwest university of financial and economics | statistics, causal inference |
Hong JIANG | Shanghai Ruijin hosptial | hypercortisolism |
hong li | medical university of south carolina | Change point, Bayesian estimation |
hong liang | Hunan University | Project research |
Hong Seng Gan | Universiti Kuala Lumpur | hippocampus Segmentation, Alzheimer's Disease, Random Walks |
Hong Wang | Shandong Normal University | deep learning framework ,mild cognitive impairment (MCI), AD and non AD |
Hong Wang | Shandong Normal University | deep learning framework ,mild cognitive impairment (MCI), AD and non AD |
Hong Wei | southeast university | AD, fMRI |
Hong xin Cai | Beijing Institute of Technology | Alzheimer's disease |
Hong Yu | Southwest Petroleum University | study,hippocampus,dataset |
Hong Zhang | University of Science and Technology of China | statistical method |
Hong Zhang | Tsinghua University | medical imaging processing |
Hong Zhao | Taiyuan University of Technology | Variance analysis; Early diagnosis |
Hong-Hee Won | Sungkyunkwan University | prediction model, deep neural network, gene expression |
Hongbin Zhang | CUNY | Longitudinal data, missing data, loss to follow-up |
HONGBO FENG | First Affiliated Hospital of Dalian Medical university | aging |
Hongbo Wang | Dalian Neusoft University of Information | Early diagnosis,Graph Neural Networks |
Hongchang Gao | Temple University | Graph neural network, transformer network, MRI |
Hongchao Jiang | Nanyang Technological University | Artificial Intelligence |
Hongcheng Song | Liaocheng university | functional magnetic resonance imaging、Brain disease、classification |
Hongchun Wei | YantaiYuhuangding Hospital | neurologist study |
Honggang Wang | California State Poly Tech Pomona | Machine learning, AD diagnosis, dementia forecasting |
honggang yi | Nanjing Medical University | predict model;AD |
HongGuai Chen | NCU | BDBC-2020 |
honghao qu | South China University of Technology | Neuroscience、brain-inspired intelligence |
honghong liu | Beijing Institute of Technology | ventricle AD classification Surface Metrology |
Honghuang Lin | Boston University School of Medicine | Genetics; Image; Amyloid; Association; |
Hongjie Cai | Shanghai Jiaotong University | AD/MCI diagnosis, deep learning |
HongJie Jiang | 四川大学 | Terms—Alzheimer’s disease, Early diagnosis, Conversion prediction, Graph neural |
Hongjie Min | Hebei University of Technology | GCN MCI AD |
Hongjie wang | Zhejiang university | White matter hyperintensities, DTI, FDG_PET |
hongjun cao | YanShan University | 数据 |
HONGKAI CHEN | Juntendo University | Life1Dream |
hongkuan zhou | University of Southern California | Graph Neural Network, Machine Learning |
Honglang Wang | Indiana University-Purdue University Indianapolis | functional data, spatio-temporal data, longitudinal, high dimensiona |
Honglei An | Weifang Medical University | brain tissues |
Hongliang Liu | Duke University | dynamic prediction; longitudinal data analysis; integrative analysis |
Hongmei Yu | Shanxi Medical University | Joint latent class model, Dynamic prediction,Alzheimer’s disease |
Hongmin Li | Southern Medical University | Alzheimer disease |
hongru zhang | NUDT | college student, neuroscience |
Hongrui Liu | Shanghai Jiao Tong University | brain image analysis |
Hongtao Liu | Johns Hopkins University | Network analysis, graphs |
Hongtao Sun | guangxi university | Canonical Correlation Analysis |
Hongtao Xu | Fujian Agriculture and Forest University | research |
Hongtu Zhu | University of North Carolina at Chapel Hill | Imaging genetics; Alzheimer's Disease; biomarker |
Hongwei Xu | 无 | 阿尔兹海默症 |
Hongxia Yang | Tianjin University of Technology | amengi172 |
Hongxiang Lin | UCL | lhx2103852 |
Hongxiu Guo | Tongji Medical College, Huazhong University of Science and Technology | Alzheimer's disease, predictors, diagnose, model |
Hongyan Xu | Augusta University | haplotype association, Alzhermer's disease, whole-genome sequencing |
Hongyang Jiang | Zhejiang provincial hospital | fMRI, Radiomics |
hongyang jiang | zhejiang provincial people's hospital | MRI, radiomics, chronic pain |
HONGYI ZHANG | Fudan University / China | MRI data, inference |
Hongyoon Choi | Cheonansi Public Health Center | Metabolic network, FDG, Amyloid |
hongyu chen | shanghai Nyuen | fMIR, GCN |
Hongyu Chen | Zhejiang University | computer graphics; Medical Imaging |
Hongyu Yuan | Wake Forest schoold of medicine | ADNI data collection |
Hongyu Zhao | Yale University | Genetic risk prediction, AnnoPred, functional annotations, sex-specific |
Hongyu Zhu | Yunnan University | ANDI |
HongZhang Yang | Dalian university of technology | Alzheimer,MCI,Deep learning |
HONGZHI KUAI | Maebashi Institute of Technology | Artificial Intelligence, Brain Informatics |
Hongzhi Wang | IBM | Alzheimer's disease, voxel-based Morphometry, multi-atlas label fusion |
Hongzhu Wu | Xuzhou Medical University | introduction to finite elements in engineering |
Honorine Niyigena Ingabire | UESTC | fMRI, BOLD , Alzheimer's disease |
Hoon Ko | Wonwkang University | MRI, Deep-learning |
Hope Kean | MIT/Harvard Med/MassGen Hospital | data science, modeling, cognitive |
Horsng Junn | Neurozen Inc. | T1 MRI volume cortical thickness |
hosein ehsanmanesh | ferdowsi university | Alzheimer’s Disease Neuroimaging Initiative database |
Hosein Khazaie | Amirkabir university of Tech | Alzhimer Brain MRI Segmentation |
Hossain Bellal | Universiti Teknologi Malaysia | 1234 |
Hossam Balaha | Mansoura University | https://hossambalaha.github.io/ |
Hossam Sarhan | Case Western Reserve University | Deep Learning - Medical Imaging - Proteomics - Alzheimer's Disease Progression |
Hossein Amanpour Reyhani | University of Tabriz | AD, Deep Learning, Neural Network, PET, MRI |
Hossein Haghbin | Persian Gulf university | principal component analysis |
Hossein Rahimzadeh | shahid beheshti university of medical sciences | Deep Learnion, ASL MRI,CBF |
Hossein Tabatabaei Jafari | Australian National University | MCI, atrophy rate, The cerebellum |
Hossein Zeraatgar | Shahin beheshti | Fmri,alzhaimer |
HOSUK KO | CHA | kohosuk |
Hosung Kim | USC INI | machine learning, brain age, classification |
Hou Hongbiao | Sun Yat-sen University | science research |
HOU HUIXIN | Guizhou Medical University | AD FMRI |
Hou Jian | 新疆财经大学 | statistics |
Hou Kai | Yunnan University | 5432111065afcdHK |
HOU minzhi | Beijing University of Chinese Medicine | Alzheimer's disease,CD33,Gene polymorphism,Brain structure |
hou xiaozhen | UCAS | 123456 |
Houliang Zhou | Lehigh University | Neuroimaging, Graph Neural Network, Interpretability |
HOURIA Latifa | universite saad dahleb | tractography, white matter , DTI , Alzeimer |
hourieh malekzadeh | malek ashtar university of technology | AD prognosis, biomarkers, nueral network |
Houssem MEGHNOUDJ | GIPSA-LAB | LSTM, CNN, Feature extraction, classification, EEG. |
Howard YEH | NSYSU | fMRI |
Hozuma ITOBAYASHI | Osaka university | survival analysis, machine learning |
Hrishabh Tiwari | Maharashtra Institute of Technology | Explainable AI, Deep Learning |
Hrishi Raj Deka | National Institute of Technology,Silchar | Detection of alzheimer's disease using DL and ML models. |
Hristina Uzunova | University of Luebeck | Neural networks, Diffeomorphic autoencoder |
Hrithik Agarwal | Malaviya National Technology of Jaipur | Alzheimer's Disease using Graph Signal Processing on Neuroimaging Data |
hritvk naru | thapar institue of engineering and technology | prediction of ad |
Hrushikesh Joshi | Pimpri Chinchwad College of Engineering | deep learning, alzheimer's disease |
Hsiang-Chin Chou | Massachusetts General Hospital | SEX, 18F-Flortaucipir (FTP)-PET signal, Abeta-PET |
Hsiao Han Jung | National Yang Ming Chiao Tung University | Brain age prediction, MRI image database |
hsin-wen Chang | National Tsing Hua University | Alzheimer |
Hsin-Yu Lai | Massachusetts Institute of Technology | feature analysis |
Hsing Ling Hsuan | National Yang Ming Chiao Tung University | Deep learning |
Hsing-I Hung | National Chiao Tung University | machine learning research survey bioinformatics |
hsingmin Lee | Stellaris | chemical research |
HSIU HUI CHIU | AcroViz | image artifact |
HSIU HUI CHIU | National Cheng Kung University | brain structure changes |
Hsu Che Jui | National Central University | Data for a research paper |
hu chen | Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch | 3D convolution,saliency maps, |
Hu Jian | uestc | tDCS;MRI |
Hu Lianjiang | Chengdu University of Chinese Medicine | Bioinformatics Database Chinese Medicine |
hu ning | University of International Business and Economics | Alzheimer |
Hu Paul | CNRS | deep learning, segmentation |
hu peng | The Second Affiliated Hospital of Chongqing Medical University | Aβ lung |
hu shuai | bipt | brain |
HU Shuyang | Hainan.university | alzheimer's diseaser |
Hu Wanting | NorthWest University, China | deep learning, Alzheimer |
hu wj | Shanghai university | Hvvj0711 |
hu wl | bnu | study |
Hu Xuecheng | 天津理工大学 | AI diagnosis |
Hu Xuefang | Hebei University | fMRI AD functional connective |
Hu Yuanqing | Chongqing Data Cube Technology Co., Ltd. | hu950108? |
HU YULAN | Lanzhou University | Neuroimaging Genomics |
Hu Zebin | 宁夏大学 | download dataset |
Hu Zheqi | Nanjing University. | machine learning,A/T/N |
Hua Liu | Simon fraser university | functional data, single index, varying coefficient |
Hua Sun | Université de Montréal | AD, MCI, picture naming, functional connectivity, neuroimaging |
Hua Wang | Colorado School of Mines | neuroinformatics, machine learning |
Hua Wei | University of Sheffield | ADNI Data; Alzheimer disease |
hua zhang | Shanghai Maritime University | Cognition |
Hua Zhu | BUAA | test-retest relibility, white matter |
huachang chen | Vanderbilt University Medical Center | imputation; methodology; evaluation; bioinformatics |
huachen zhang | Northwest University of China | Subjective cognitive decline, Conversion prediction, Image synthesis,Multi-modal |
Huafei Ma | SUFE | machine learning |
Huafeng Chen Chen | Jingchu University of Technology | data augment, deep learning, image classification |
huafeng hu | Xi'an Jiaotong-Liverpool University | Deep Learning, Medical Image Classification |
huaidong huang | The Second Affiliated Hospital of Shantou University Medical College, China | Alzheimer's disease, machine learning, early diagnosis |
Huallong Wang | Hebei Medical University First Affiliated Hospital | alzheimer's disease, chelesterol, metabolism |
Huan Chen | Johns Hopkins Bloomberg School of Public Health | FDR control, variable selection |
Huan Lao | Guangxi University | Medical image analysis; computer-aided diagnosis; machine learning; deep learnin |
Huan Li | Xi’an University of Technology | Medical image denoising |
huan liu | Zhejiang University | privacy-protected,machine learning,distributed algorithm |
Huan Liu | North-west Industrial University | deep learning, convolutional neural network,recurrent neural network,fMRI |
Huan Luu | Kaist | Alzheimer disease, Deep learning |
huan pan | The First Affiliated Hospital of Harbin Medical University | alzheimer |
huan pan | The First Affiliated Hospital of Harbin Medical University | alzheimer |
Huan qianlong | ucas | MBI |
Huan Wang | South China University of Technology | functional brain network;support vector machine;classification |
Huan Zhang | ZJU | AD PD |
Huan Zhang | shanghai maritime university | Image genetics |
Huan ZHONG | University of British Columbia | omics, transcriptomics, genomics, methylation |
Huan-Yu Ni | Affiliated Drum Tower Hospital, Nanjing University Medical School | neuroimaging |
Huan-Yu Ni | Affiliated Drum Tower Hospital, Nanjing University Medical School | neuroimaging |
Huang Bingsheng | Shenzhen University | AD, brain age |
Huang BingYao | Beijing University of Posts and Telecommunications | joint modeling |
huang bixuan | Xiamen University | AD, NGS |
Huang Chan-Yi | Acer | Brian MRI |
huang chenye | Anhui University of Traditional Chinese Medicine | medical research on machine learning |
Huang Dingying | Chongqing university of posts and telecommunications | Multi-modal data; Explainable AD prediction |
Huang He | HDU | Alzheimer;MRI; |
Huang Hudie | Institute of High Energy Phisics Chinese Academy of Scienses | glucose metabolism |
huang jackie | Changzhou Institute of Technology | alzheimer |
huang jiamin | Shanghai Maritime University | GCN,classification |
huang jing | First Affiliated Hospital of Chongqing Medical University | AD,CSVD,hippocampal,memory impairment |
Huang Lei | Shenzhen University | Application, Reactive account |
Huang Luwen | Suining central hospital | gene |
Huang NiangQiu | Guangdong University of Finance & Economics | explainable AI, medical AI |
huang qicai | shenzhen university | suz71218171 |
HUANG Rihan | Southern University of Science and technology | Learning |
Huang Ruodong | Shanghai Jiaotong University | SN,MRI,PET,AD |
HUANG SHUAI | china pharmaceutical univerity | AD;sex;aging |
huang shuyi | Huashan Hospital, Shanghai | Alzheimer's disease, Mendelian randomization |
huang tianyuan | Hebei University of Engineering | AD |
Huang Weiwei | Xiamen University | depression,cognition,the elder |
Huang Xin | Central South University | asdasd123 |
Huang Xiuhua | Ning Xia University | image registration |
HUANG YANG | UESTC | FMRI ALFF |
HUANG YANG | UESTC | FMRI ALFF |
Huang Yanlu | Shanghai Sixth People's Hospital | AD Biomarkers |
Huang YouTing | Yuan Ze University | hippocampus , image segmentation ,computer-aided system |
Huang Yue | Hainan University | predict model |
HUANG Zhian | City University of Hong Kong | Multi-tasking learning |
Huangkaineng Huang | Central Sourth University | none |
Huankang LU | Shantou University | Temporal Neural Network;Machine Learning;Alzheimer's Disease |
Huanlu Qiu | shandong univercity | AD |
Huanping Zhang | Tianjin University of Technology | 5HG60 |
Huanyao Gao | Mayo Clinic | bioenergetic deficiency, mitochondria dysfunction, biomarkers, drug discovery |
huanyu xu | Shanghai University | fMRI PET |
huaqiang hu | Intelligence Qubic | AutoML |
Huaqiong Diao | Beijing University of Chinese Medicine | Imaging; brain function network; mild cognitive impairment; dementia |
huaqiu chen | Xuanwu Hospital, Capital Medical University | Alzheimer's disease |
Huaqiu Chen | 郑州大学Zhengzhou University | Medical imaging |
Huatao Ge | Changchun University of Science and Technology | atlas |
Huatao Ge | Changchun University of Science and Technology | image process |
huaxia mu | weifang medica university | nachine learning |
Huaxu Yu | UBC | metabolomics, LC-MS, data processing |
Huaying Hao | Ningbo Institute of Industrial Technology | multi-modality images |
Hüden Neşe | Bogazici University | fMRI, resting state, network theory, time frequency |
Hudson Buck | Santa Casa de Sao Paulo School of Medical Sciences | Alzheimer, diabetes, hypertension, chronic diseases |
Huey-Jing Huang | Takeda California | biomarkers |
Hugh Pemberton | UCL | Longitudinal, controls, BSI, volumetry |
Hugh Taylor | University of Sydney | Thesis, Graph Theory |
Hugo Alberto Massaroli | Universidad de Buenos Aires | pet, alzheimer disease, deep learning, convolutional neural network |
Hugo Cogo-Moreira | Universidade Federal de Sao Paulo | Dynamic structural Equation modeling, latent variable, multilevel analysis |
Hugo Cruz-Suárez | Benemérita Universidad Autónoma de Puebla | Big Data, Hidden Markov Models, Stochastic optimization |
Hugo Dugdale | IXICO | Clincal Trial |
Hugo Fernández | Universitat Oberta de Catalunya | Alzheimer, Risk factors, Machine Learning, Bioinformatics |
Hugo Ferreira | Faculty of Sciences of the University of Lisbon | Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET |
Hugo Geerts | Certara | clinical trials, comedications, |
Hugo Kuijf | UMC Utrecht | cerebral cortical microinfarcts |
Hugo Peluffo | Universitat de Barcelona | CD300f, microglia, SNP, innate immunity, phagocytosis, immunometabolism |
Hui Ben | Meiji University | PET |
Hui Ben | Meiji University | PET |
Hui Chen | Shuguang Hospital | Alzheimer's Disease,functional connectivity |
Hui Guo | University of Manchester | causal inference, dementia |
Hui He | Beijing Institute of Technology | EHR Alzheimer Neuroimaging |
hui hong | zhejiang university | cerebral small vessel disease |
Hui Jiang | Huazhong University of Science and Technology | statistical research;censoring;regression |
Hui Juan Chen | Department of Radiology, Hainan General Hospital | AD; functional MRI; structural MRI; DTI |
hui li | Shanghai University | MRI,PET,CT,CSF,DTI |
Hui Li | Chongqing College of Electronic Engineering | Alzheimer’s disease, Blood biomarkers, Cognitive measures |
Hui Liu | xiangya hospital central south university | Dementia |
Hui Mao | Emory University School of Medicine | image segmentation, image quantification, artificial intelligence, biomarkers |
Hui Shen | zhejianglab | Multi-center data, AD |
Hui sun | Jilin Universitity | AD PD ALS |
Hui Tan | Flywheel.io | importing dataset |
hui wang | NingXia University | Hippocampus segmentation |
HUI WU | Nanjing University of Posts and Telecommunications | AD |
hui xian | NorthEast University | registration |
Hui Xue | Tianjin Medical University | hippocampus NVC |
hui yang | nanjing university of TCM | risk predictive model |
Hui Yu Shen | Chienkuo Technology University | Neurocognitive Analysis and Dementia Research |
hui zhang | Taiyuan university of technology | nonlinear dynamics |
Hui Zhang | Shanghai tenth hospital | dementia |
Hui Zhao | Zhongnan University of Economics and Law | high-dimensional survival data, variable selection |
Hui Zheng | AbbVie | biomarkers |
Hui-Fu Wang | Qingdao Municipal Hospital | Alzheimer's disease; DDE; CSF; Neuroimage; Biomarkers |
Huican Zhu | Amino Capital | MRI, Convolutional Neural Network, Brain disease detection |
huichao qi | sdnu | adni |
Huihui Qi | Tongji University | Alzheimer’s disease, large-scale brain networks, subsystems |
huihui wu | Northeast Petroleum University | brain |
huijie pei | 天水市第三人民医院 | Hippocampus |
huijie yuan | The First Affiliated Hospital of Xi'an Jiaotong University | mild cognitive impairment,Alzheimer's disease,magnetic resonance imaging |
Huijin Song | Seoul National University Hospital | WMH, medical imaging, sMRI |
huijun Liu | University of Malaya | dementia |
Huili Hu | Shandong University | Hu1hui0li30 |
huili tian | Shandong Technology and Business University | Alzheimer machine learning |
huilin Chen | Guizhou Medical University | Alzheimer's disease, Effect of biological marker tau protein on nuclear function |
Huilin Yang | The University of British Columbia | learning-based brain segmentation, registration, data augmentation |
Huilin Yang | The University of British Columbia | Brain sub-structures reconstruction |
Huilin Yang | The University of British Columbia | Brain sub-structures reconstruction, biomarker identifying |
Huimei Liu | National Chengchi University | functional principle analysis, longitudinal data, MMS |
Huimin Cai | Xuanwu Hospital Capital Medical University | Alzheimer's disease; inflammation |
Huimin Chen | Beijing Tiantan Hospital, Capital medical university | cognitive impariment, perivascular space, Abeta/tTau |
Huimin Niu | Jiangxi University of Finance and Economics | fMRI Brain network decoding disease diagnosis |
HUIMIN YIN | Qiqihar Medical College | rs-fMRI AD |
Huining Li | SUNY at Buffalo | hash codes, correlation matrix |
Huishi Huang | Beijing Institute of Technology | MCI,DTI,topology |
huishu zhou | Chongqing university of posts and telecommunications | CNN |
Huitong Ding | Boston university | Alzheimer's disease prediction |
Huiwen Dong | Beijing Jiaotong University | precision medicine, fmri, smri, GNN, deeplearning |
Huiyan Sang | Texas A&M University | Bayesian methods; computational methods; fMRI data analysis |
Huiye Liu | Georgia Tech | Alzheimer’s disease |
Huiying Pan | Capital Medical University | Multi-omics analysis; Genomics; Proteomics; Alzheimer’s disease |
Huiying Yu | Shandong Normal University | ADNI DATA ANALYSIS |
Huiyun Guo | Nanjing University of Science and Technology | Bayes |
Huiyun Yang | Tianjin Medical University | Alzheimer's disease Mild cognitive impairment |
Huize Pang | China medical university | AD; machine learning; cerebellum |
hujun yang | Northeastern University | research |
Humma Nawaz | Quid e Azam university | alzheimer, depression, 3T MRI scans |
Humma Nawaz | Quid e azam university | alzheimer, depression, 3T MRI scans , TBI and PTSD , fmri |
Humphrey Munn | The University ofQueensland | alzheimers, UQ, perceiver |
Hunaiva Kintan | University of Indonesia | thesis research |
Hung-Nien Chang Chien | Chang Gung Memorial Hospital | Dementia Diseases; Cerebral Perfusion Image; Machine Learning; |
Hunter Lybbert | Upenn | Machine Learning, Image Recognition, Analysis |
Hunter Tiner | University of Arkansas at Little Rock | clusters, python |
Huntington Potter | University of Colorado Anschutz Medical Campus | rheumatoid arthritis, PET amyloid, Alzheimer's disease |
huo mingwei | Harbin University of Scinence and Technology | technology |
Huo wan | Fuzhou University | machine learning,identify |
Huo xiaolai | Tianjin University | deep learning |
Husamettin Osmanoglu | Biruni Uni | CT scans, Digital Signal Processing, Image Processing, CNN, Deep Neural Network |
Huseyin Derbent | University of South-Eastern Norway | Deep Learning, Convolutional Neural Networks, Alzheimer's Disease, Classifcation |
HÜSEYİN KUTLU | Adıyaman University | Ensemble Learning, Prediction, Time Series |
Husneara Rahman | Georgia State University | Sensitivity, Confidence Interval |
Hussain AlQatari | Misk Foundation/ General Assembly | student data research dementia prediction machine learning modeling deep neural |
HUSSAIN JAFRI | Washington University School of Medicine in Saint Louis | ADOPIC |
Hussain Montazery Kordy | Babol Noshirvani University of Technology | Data Processing |
Hussam Abu Ali | student | machine learning, deep learning, Mild cognitive impairment, Alzheimer's disease |
Hussein Alameri | Ataturk University | Data Fusion |
Hussein Yassine | USC | HDL, amyloidosis |
Huwei Xia | Wenzhou Medical University | 19940425x |
huy dang | Penn State University | functional data, spiky data, function estimation |
Huy Hoang Nguyen | University of Oulu | deep learning, medical imaging, prognosis prediction |
Huy Thong Phan | EPFL | AD diagnosis, MRI, deep learning, Convolution neural network |
Huy-Dung NGUYEN | Labri | AD detection |
Huynh Thanh | UIT | MRI Alzheimer disease |
Hwamee Oh | Columbia University | AD biomarkers, risk factors |
Hwei Geok Ng | Fraunhofer Institute for Algorithms and Scientific Computing SCAI | Data generation outcome comparison |
Hwihun Jeong | Seoul national university | x-separation |
hy Hou | Chinese Academy of Sciences | Gradients |
HYANG-WOON LEE | EHWA WOMANS UNIVERSITY | MRI, CNN |
HYE JOO SON | Asan Medical Center | Tau |
Hye Ryeong Nam | National Institute of Health in south Korea | Brain MRI |
Hye-Yeong Kim | Sanofi | tau tangles, beta amyloid plaques, a-synuclein, neuroinflammation |
Hyekyoung Lee | Seoul National University | Brain network, persistent homology, hole, module |
Hyemin JANG | Samsung Medical center Neurology | amyloid, tau, dementia, vascular dementia |
HYEMIN YOON | ASAN Medical Center | Machine learning, Deep learning |
Hyeokjin Kwon | Hanyang university | modality, brainmask |
Hyeokju Jang | KAIST | Dementia detection |
Hyeon Kang | Institute of Convergence Bio-Health, Dong-A University | ML, AI |
Hyeon Sung Cho | ETRI | AI, MRI, AD |
Hyeonjin Kim | Seoul National University | Alzheimer's Disease, MRI, Deep learning |
HyeRyeong Nam | National Institute of Health in Korea | Brain |
Hyeseon Han | Unomic | dementia, MRI, PET, machine learning |
Hyeseong Park | Sogang University | MCI, MMSE |
HyeSoo Jung | Ulsan University | AD converter, MCI |
Hyewon Cho | UNIST | AD early detection, AI, ML, ensemble, multimodality, deep learning |
Hyewon Moon | Ajou Univ. | Alzheimer's Diseases Pre-Prediction |
Hyewon Park | Kyung Hee University | graph convolutional networks |
Hyewon Shin | KAIST | Aging, Alzheimer's Disease |
Hyeyoung park | seoul national university | conversion rate, brain structural characteristics |
Hyeyun Jeong | Northwestern University | Machine learning, Alzheimer's prediction |
Hyo Chan Lee | Handong Global University | Alzheimer's DIsease, MRI, machine learning, classification |
Hyo Min Kim | Korea Advanced Institute of Science and Technology | fMRI, GNN, functional connectivity matrix |
Hyobin Park | seoultech | MRI, dementia, alzheimer's disease |
hyoeun choi | chungnam national univercity | eeg |
Hyojung Kim | Gansam Tech | alzheimer |
Hyoung Suk Park | National Institute for Mathematical Sciences | FBB-PET, deep learning |
Hysen Ndregjoni | Epoka University | CNN, PET, Deep Learning |
hyugrae cho | samsung electronics | AI, machine learning |
hyujin choi | korea university | hyunjin |
Hyukjung Kwon | EDGC | MCI prediction by Genomic data |
Hyun Ji Noh | AbbVie | Alzheimer's disease |
Hyun Jin Kim | Kumoh National Institute of Technology / Republic of Korea | Deep Learning |
Hyun Jy Chung | Stony Brook University | FWER |
Hyun-Sik Yang | Brigham and Women's Hospital | Polygenic risk, Genomics, Alzheimer's disease, biomarker |
Hyuna Cho | POSTECH | brain connectivity |
HYUNG JIN CHOI | ULSAN UNIVERSITY HOSPITAL | PET FDG amyloid dementia deep-learning |
Hyung Woo Kim | Yonsei University College of Medicine | Alzheimer's disease; chronic kidney disease |
Hyung-Ji Kim | Asan medical center, Seoul | beta amyloid, amnestic mild cognitive impairment, biomarkers |
Hyung-Ji Kim | Uijeongbu Eulji Medical Center | Amyloid, Dementia, Disease Progression, Mild Cognitive Impairment |
Hyung-Jun Im | Seoul National University | fMRI, FP-CIT, connectivity, PD |
hyunggi kim | deepnoid | deepnoid |
HyungJin Cho | University of Southern California | Alzheimer's Disease Neuroimaging Initiative (ADNI) |
Hyungtaek Kim | UT Southwestern Medical Center | brain model |
hyungyung lee | korea university | brain image, data, ai |
hyunho hwang | hanyang university | skull stripping |
Hyunjae Jo | POSTECH | personalized learning; individual feature |
Hyunjeong Kwak | Seoul National University | CAT12 analysis |
Hyunjeong Kwak | Seoul National University | AD |
hyunji kim | incheon univertisy | machine learning |
Hyunjin Kim | Sungkyunkwan University | Logistic Regression |
Hyunjin Kim | Hanyang university | AD classification |
Hyunjin Park | Gachon Univ of Medicine ans Science | registration atlas segmentation subcortical structure |
Hyunjin Park | Sungkyunkwan University | registration, segmentation, shape features |
Hyunju Lee | Gwangju Institute of Science and Technology | Multi-omics; Alzheimer's disease |
Hyunjung Bae | Seoul national university | M-IPAD |
Hyunjung Kim | Kangwon National University | CMAP, Alzheimer's disease |
Hyunjung Kim | Ulsan University | Alzheimer, FDG PET/MIR |
Hyunjung Oh | Peoplebio Inc. | biomarker |
Hyunjung Shin | Ajou University | Artificial Intelligence, Precision Medicine, Diversified Diagnostic Model |
Hyunnam Ryu | UNIVERSITY OF GEORGIA | Topological data analysis; fMRI; brain network |
Hyunseung Kang | University of Wisconsin-Madison | causal inference, |
Hyunsil Cha | Kyunpook National University | fMRI |
Hyunsil Cha | Kyunpook National University | MR image processing |
Hyunsoo Yoon | Arizona State University | Deep learning, Aging |
Hyunsu Lee | Keimyung University, School of Medicine | AD |
hyunsub lee | KPP | beta amyloid, tau, plasma |
Hyunsung Kim | Chung-Ang University | functional clustering, Riemannian functional data, DTI data, SPD matrix data |
hyunwoo Lee | Samsung Advanced Institute for Health Sciences & Technology | copy number variation |
Hyunwoo Oh | Vuno | deep learning, computer vision, alzheimer's disease |
Hyunwoo Oh | Vuno | deep learning, computer vision, alzheimer's disease |
Hyunwoong Ko | Seoul National University | SNP, GWAS, amyloid, neuropsychological |
I rsf | shanghai University | 826000 |
Iacopo Ciampa | Johannes Kepler Universität Linz | AI, Alzheimer, Federated Learning, Deep Learning |
Iago Silva | Federal University of Pernambuco | Deep learning, machine learning, alzheimer's disease, feature extraction, PET |
Ian Harding | Monash University | dwi perfusion analysis |
Ian Hardingham | Oxford Brain Diagnostics | DTI MRI |
Ian Hinder | University of Manchester | diffusion |
Ian Kennedy | Avid Radiopharmaceuticals | propagation, AI, FTP, flortaucipir |
Ian Macdonald | Dalhousie University | Early Diagnosis, FDG-PET, MRI, Biomarker |
Ian Malone | University College London | BSI, boundary shift integral, volumetric measures, atrophy, ADNI3 |
Ian Sherriff | Euroimmun | CSF Euroimmun roche |
Ian Vicino | Arizona State University | Alzheimer's Disease, mild cognitive impairment |
Ian Zhou | central south university | longitudinal data |
Ianien deng | Beijing University of Aeronautics And Astronautics | dmj66622 |
Ianina Hutler Wolkowicz | Universidad Nacional de San Martín | Functional Connectivity, BOLD time series |
Iason Skylitsis | University of West Attica | deep learning, classification, CNN |
ibad arrasyid | none | mri,brain |
Ibai Diez | Massachusetts General Hospital | AD, fmri, DTI, PET |
IBRAHIM AKSIT | Gazi University | Anomaly,Detection,Alzheimer,advanced,deep,learning, model |
Ibrahim Almubark | CUA | cognitive, neuropsychological |
Ibrahim Awinle | Crescent University, abeokuta | White Matter, White Matter Lesion, T2*W, T2, FLAIR, T1 |
ibrahim Dhaini | Beirut Arab University | segmentation, MRI, medical images |
Ibrahim Elwarfalli | WVU | tabular data, 3D images, CNNs |
İbrahim Melih Aktaş | Bogazici University | dementia alzheimer transition clustering |
IBRAHIM MOMIN | MGCUB, Motihari, Bihar | Alzheimer's disease sMRI dataset (ADNI) |
ibrahim ozken | ege university | recurrence plot analyses |
Ibrahim Saad | Assuit university | Alzheimer |
Ibrahim Sadek | Helwan University | Analysis |
Ibrahim Salim | Concordia University | Graph convolutional networks, Graphs, Alzheimer’s disease |
Ibrahima Diouf | University of Melbourne | Alzheimer's, amyloid pathology, Tau, cell adhesion molecules |
Ibrahima Diouf | CSIRO | Alzheimer' disease, cognitive decline |
Ibtisam Mohammad | Univ.Ai | Detect, Learn |
ibtissem cherfa | université de Bejaia | 01031950 |
ice sword | NEU | study |
Ida Arvidsson | Lund University | Neuroimaging, deep learning |
Ida Haeggstroem | MSKCC | pet; survival; deep learning |
Ido Goldstein | The Open University of Israel | Deep Learning, image analysis |
Idris CHENTOUF | Bahçeşehir Unuversity | Alzheimer |
idris idris | ESI | FPCA, sFPCA, functional data |
Idriss Bennacef | Merck & Co. | tau |
ifan chen | National Yang Ming Chaio Tung University | Machine Learning |
Ifeanyi Aguocha | Cyprus International University | Deep Learning, medical diagnosis, Neural networks |
ifrah shakeel | University of Kashmir north campus | ADNI1 baseline dataset |
Ignacio CIfre | URL | fRMI, dFC, FC |
Ignacio Illán-Gala | Hospital de la Santa Creu i Sant Pau | diffusion tensor imaging; Alzheimer's disease; tau; Amyloid |
Ignacio Partarrieu | National Physical Laboratory | Predictive analysis, biomarker, AI, ML |
Ignacio Serrano | Gradiant | Research, National Proyect |
Ignazio Piras | Translational Genomics Research Institute | Alzheimer Disease, Inflammation |
Igor Koval | Brian and Spine Institute | longitudinal data, machine learning, statistical analysis, |
Igor Kuivjogi Fernandes | UFG | missing data |
Igor Varga | czech technical university | T2, Aging, Deep Learning, Alzheimer's disease |
Igor Vaz | University of Coimbra | alzheimer, deep learning, neural networks |
Iheb ELGHAIEB | Ecole Nationale d'Ingénieur de Gabes | Artificial intelligence applied to alzhimeur medical imaging |
Ihori Ebinuma | Ono Pharmaceutical Co., Ltd. | Translational research, biomarker |
Ijaz Ahmad | Chosun University | Privacy-preserving deep learning model, medical image analysis |
Ikbeom Jang | Massachusetts General Hospital | image quality, artifact, quality assessment |
Ikhianosen O Ukhuedoba | Yale | cognitive reserve |
IkJoon Jeon | Home research | deep learning research |
Ikko Wada | Kyoto-Katsura Hospital | dementia |
ikram maouche | University of Biskra | time-variant, risk factors, Alzheimer, prognosis |
Iktae Kim | New York University | FLAIR MRI, 3D CNN, |
Ilan Libedinsky | Vrije Universiteit | connectome, brain, disorders |
Ilaria Granata | National Research Council (CNR) | radiomics, classification, integration |
Ildefonso Martinez Ahumada | University of Malaga | Machine Learning Matlab |
Ilias Maglogiannis | University of Piraeus | Biomedical Informatics, Risk Stratification algorithms |
Ilias Panagiotaras | NCSR DEMOKRITOS | AD,MCI,Diagnosis,Prediction,Deep learning,Convolutional Neural Networks |
iliass ben | faculté de mohammed premier | ai |
Ilke tunali | eli lilly | ad imaging |
Ilker Ozsahin | Near East University | AD, deep learning, CNN |
ILKI HONG | Kyung Hee University Medical Center | Alzheimer |
Illakiya T | Vellore Institute of Technology | AD, prediction |
Illakiya T | Vellore Institute of Technology | AD, prediction |
Illana Gozes | Tel Aviv University | ADNP, ADNP related genes, RNA-seq |
Ilona Eisenbraun | HTW Berlin | medical, mrt, xai, neural networks, explainable, ai |
Iluppangama Iluppangama | University of South Florida | Survival probability, statistical modeling, Treatment evaluation |
Ilya Demchenko | St. Michael's Hospital | analysis |
Ilya Nasrallah | University of Pennsylvania | glucose metabolism, perfusion |
Ilya Selnitskiy | Skoltech | tytelyan |
Ilya Yalchyk | Fraunhofer Institute for Algorithms and Scientific Computing SCAI | transfer learning, domain adaptation |
Imad Alanbari | university of kufa | perdiction analysis |
Iman Aganj | Massachusetts General Hospital / Harvard Medical School | Brain connectivity |
Iman Beheshti | CERVO Research Center, Mental Health University Institute of Quebec | estimation, brain age, MRI |
Iman Kianian | University of Tehran | AD detection, Neural Networks, Transfer learning, CNN, Deep Learning |
iman sarbishe | medical science hamadan university | spatio statistic, cortex |
iman sarbishe2 | modares university | adni |
iman zandi | Tehran university | Research |
Imbo Sim | DUA | Deep Learning, GAN, Alzheimer |
Imraan Patel | University of Johannesburg | Language, Alzheimer's, Morphology, UNet, VGG16, LSTM |
Imran Hasan | Islamic University | deep learning |
Imran Hossain | Bangladesh University of Professionals | Machine Learning |
Imran Lawal | University Of Leicester | Alzheimer Detection, Convolutional Neural Network |
Imran Saied | University of Edinburgh | Alzheimer's disease, imaging |
Imran Waggan | University Of Turku | VBM, Alzhemer's Disease |
In shik Hong | Sungkyunkwan University | Alzheimer's disease, biotechnology, machine learning, modeling |
Ina Almdahl | Oslo University Hospital | Cerebrospinal fluid Amyloid Depression |
Ina Chun | n/a | CNN, visualization, deep learning |
Inam Ul Haq Gulzar | Government College Of Engineering and Technology, Jammu | Alzheimer’s Disease, Ensemble Learning, Deep Learning, Computer-assisted diagnos |
Inbal Maidan | Tel aviv medical center | VBM, cortical thickness |
Inbasagar D | Sathyabama Institute of Science and Technology | Alzheimer, CNN, Deep learning, |
Inci Baytas | Bogazici University | Long short-term memory, disease progression |
Indhumathi G | Rajalakshmi Engineering College | AD, MRI |
Indira Garcia Cordero | UHN | AD, functional connectivity, pet, longitudinal analysis |
Indira Turney | Columbia University Medical Center | mediation, biomarker, disparities, ADRD, risk factors |
Indrajit Kalita | IIIT GUWAHATI | Brain Age estimation, Deep learning, MRI image analysis |
Indumathy Sandrasekaran | Virginia Commonwealth University | Alzheimer Analysis |
ines abdennaji | ENIG | biomedical image analysis |
Inês Celorico | ISCTE | college; bayes; study |
Inés Mª Pérez Alonso | Technical University of Madrid | Alzheimer's Disease |
Inês Oliveira | Instituto Politécnico de Setúbal | NIAK, CCS, CPAC, DPARSF |
Inês Pereira | Instituto politécnico de Lisboa | MRI |
Ing-Tsung HSIAO | CHANG GUNG UNIVERSITY | Network, Alzheimer Diseases |
Inga Liepelt-Scarfone | Hertie Institute for Clinical Brain Research & DZNE | ADL Parkinson's disease FAQ Alzheimer's disease |
Inge Amlien | Centre for lifespan changes in brain and cognition. Universitetet i Oslo | Lifespan, AD |
Ingeborg Hansen | H. Lundbeck A/S | drug repurposing |
Ingrid Buller-Peralta | University of Edinburgh | pre-clinical PACC, baseline, PREVENT, sleep |
Ingrid Stoleru (Citea) | Alexandru Ioan Cuza University of Iasi | PhD, Alzheimer, Research |
Ingrid van Maurik | VU University Medical Center | MCI, biomarker, CSF, MRI, personalized medicine |
Inho Lee | Georgia Institute of Technology | Alzheimer's disease, multimodal deep learning |
inho park | Gwangju Institute of Science and Technology | classification |
Inigo Gabilondo | Biocruces-Bizkaia Health Research Institute | cognitive deterioriation, Parkinson, brain MRI |
Iñigo Sanz | Universidad Complutense de Madrid | time series, biomarkers, machine learning, patient subgroups based on disease |
Iñigo Tellaetxe Elorriaga | Mondragon Unibertsitatea | DWI |
Inthat Limkatanyoo | Kanazawa university | Alzheimer |
Intissam Elmajid | Ibn Zohr | AD recognation, AD, MCI, NC |
inubushi tomoo | hamamatsu photonics | epidemiology, deeplearning |
Inung Wijayanto | Telkom University | EEG, Alzheimer, CAD |
Invy Pan | Guangdong University of Foreign Studies | Image registration research |
Ioanna Chouvarda | VTT | network analysis, causality |
IOANNIS BARGIOTAS | ENS CACHAN | Control, Alzheimer,PET images |
Ioannis Pappas | USC | PET, LONI Pipeline, Standardization |
Ioannis Xenarios | University of Lausanne | Genome Compression and Analysis - Comparative Genome and CNV detection |
Iqbal Hossain Raju | Bangladesh University of Engineering Technology | Alzheimer's disease, PET scans dataset, MRI dataset |
Iqra Kazim | University of gujrat | Pain fmri hrf |
Ira Driscoll | University of Wisconsin Madison | KLOTO, KL-VS, aBeta tau, memory, executive function |
Ira Harmon | University of Florida | alzheimers dementia, covid |
Irene Brusini | KTH Royal Institute of Technology | Structural MRI, segmentation, deep learning, shape analysis |
Irene Cannistraci | La Sapienza University | artificial intelligence, deep learning, prediction, prevention |
Irene Chen | MIT | machine learning, subtypes, disease progression |
Irene Cumplido Mayoral | BarcelonaBeta Brain Research Center | amyloid, machine learning, prediction, classification |
Irene Sintini | Mayo Clinic | fMRI tau amyloid atypical Alzheimer's |
Iresha Nanayakkara | General Sir John Kotelawala Defence University | Radiomics |
Irfan Emam | TKM College of Engineering | Amyloid protein |
Irina Campbell | The University of Strathclyde | Alzheimer’s disease; psychotic symptoms; behavioural symptoms |
Irina Orlovsky | University of Massachusetts Amherst | Emotion Regulation; Alzheimer's Disease; Preclinical |
Irina Shushpannikova | Skolkovo Institute of Science and Technology (Skoltech) | EEG, Alzheimer's disease, AI |
Iris Bosch | University of Gothenburg | PET MRI biomarkers |
Iris Chen | ecnu | 3d segmantation |
Iris Cheng | Brown University | Alzheimer's, sex, apoe, cognition |
Iris Grießmaier | FH Joanneum | Synthetic health data |
Iris Ivy Gauran | University of the Philippines | Meta analysis, ordinal data, homogeneity |
Iris Kwak | Washington University in St. Louis | APOE4, Alzheimer's, Aging, BMI |
Iris Rodriguez | CNEURO | N |
Irma Safitri | Telkom University | PET, image processing |
Irma Safitri | Institut Teknologi Bandung | PET, image processing |
Iroshan Aberathne | Lincoln University, New Zealand | Alzheimer's disease, Neuroimages, EEG, Deep Learning |
Irshad Ahmad | Islamia College University | Brain, Disease, Classification |
Irtisha Sony Chakraborty | National Institute of Mental Health and Neurosciences | tDCS, Neuromodulation, Primary Progressive Aphasia |
Iryna Lobach | UCSF | gene-environment interactions, heterogeneity |
Isaac Bensaid | Wilfrid Laurier University | CNN overfitting |
Isaac Jones | University of Sussex | Tadpole, Alzheimer's, Machine Learning |
Isaac Llorente | Universitat de Girona | Alzheimer, prediction, longitudinal, Master's Thesis |
Isabel Curioso | Associação Fraunhofer Portugal Research | Multimodal, machine learning, missing inputs |
Isabel Echeverri | Universidad Autónoma de Manizales | MRI, Alzhaimer disease |
Isabel Fernandez | Universitat Oberta Catalunya | Early diagnosis |
Isabel Garza | Lufkin High School | Science Fair |
Isabel Martín | CEMP | - |
Isabel Rodríguez | Universidad Politécnica de Madrid | Maching learning, Convolutional Neural Networks, Image classification |
Isabela Albuja | University of Pennsylvania | ptau181, Alzheimer's Disease, biomarker |
Isabella Castiglioni | National Reserach Council | AD, MCI, image classification, diagnosis, MRI, PET |
Isabella Hoang | University of Wisconsin-Madison | Alzheimer's Disease, neuroimaging, social determinants of health |
Isabella Kaczmarczyk | University College London | BA4a BA4p Allen motor cortex |
Isabella Tang | Cornell University | machine learning, statistical analysis, graphical models, early prediction |
Isabella Tapper | Royal Institute of Technology | bachelor thesis |
Isabelle Cleynen | KU Leuven | polygenic risk score |
Isabelle Cohen | The Potomac School | AD, immune system, CSF |
Isabelle Lajoie | Mcgill University | segmentation beast |
isack farady | yuan ze university | Alzheimer's disease |
Isaiah Kletenik | BRIGHAM AND WOMEN’S HOSPITAL | memory, alzheimer, functional connectivity |
Ish Talati | Stanford Medicine | alzheimer |
Isha Jain | Dayalbagh Educational Institute Agra | GAN medical |
Ishaant Agarwal | BITS Pilani KK Birla Goa Campus, Sancaole, Goa | Unet, segmentation, deep learning |
Ishan Ayus | NIT ARUNACHAL PRADESH | Alzheimer's disease |
Ishan Jain | Jaypee Institute of Information Technology, Noida sec-62, India | MAchine learning |
Ishanka Wickramasinghe | University of Peradeniya | Radiomics, MRI |
ishanu chattopadhyay | University of Chicago | AD, Machine Learning, Comorbidity, EHR |
ishi tandon | amity | neurodegneration, functional imaging, genetics |
Ishika Jain | University of Minnesota | Alzheimers |
Ishit Choudhary | Thapar University | DL |
Ishita Mangla | Stanford University | Alzhiemer's disease, biomarkers |
Ishleen Kaur | VIPS-TC | Alzheimer |
Ishrath Jabeen | CBIT | Alzheimer's prediction |
Ishwa Obaid | NUST | Deep learning |
Islam Fouad | Misr University for Science and Technology | AD EEG Dataset; AD MRI brain Dataset |
Islem Rekik | Univesity of Dundee | AD diagnosis; Diffusion Atlas; Machine Learning; Subject-specific Prediction |
Ismael Huertas | Institute of Biomedicine of Seville | FDG PET, intensity normalization |
Ismael L Calandri | Fleni | Machine learning, normal ageing |
ismail ahmed | University of Anbar | BRAIN ANALYSIS |
Israa Alsulaimi | Kennesaw State University | Machine Learning, Course Project |
israt jahan | BCU | MRI images |
Issam El Hammouti | Universidad de Córdoba | ordinal deep learning,explainable artificial intelligence,alzheimer's disease |
Issam El Hammouti | University AbdelMalek Essaadi | Ordinal deep learning,convolutional neural network,Alzheime,explainable artifir, |
Isvarya P | PSG college of Technology | alzheimer disease, MRI, Brain, region |
Iswarya K V | Amrita Vishwa Vidya Peetham | Complex network, diagnosis |
Italo Alberto Ferrante | University Federico II | neural network; deep learning; artificial intelligence |
Itsasne Arangoa | Mondragon Unibertsitatea | MRI preprocessing |
Itziar de Rojas | Fundació ACE | sTREM2 |
Iulia Duta | Cambridge University | relational neural networks, higher-order, brain connectivity |
Iva Brunec | University of Toronto | Hippocampus, Memory decline, fMRI |
Iva Kezicova | Janssen Pharmaceutica | Tau PET, Cognition |
Iva Milojković | Student | Data |
Ivan Arisi | Fondazione EBRI "Rita Levi-Montalcini" | Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis |
Ivan Herrejon | Texas A&M | Alzheimer's disease, cerebellum, MCI |
Ivan koychev | University of Oxford | Insulin resistance, tau, amyloid |
Ivan Tavinogradov | Virginia Institute of Neuropsychiatry | Volumetric Analysis |
Ivan Tourtourikov | Medical University Sofia | MAPT, H1 subtypes, ALS, modifiers |
Ivan Villalba | Universidad Nacional del Litoral | Alzheimer's detection |
Ivan Vogel | University of Copenhagen | feature selection, machine learning, AD progression prediction |
Ivan Woo | Nanjing University | DNA methylation; biomarker; |
Ivan Zaletel | Faculty of Medicine, University of Belgrade | fractal analysis; texture analysis; GLCM; hippocampus; morphology |
Ivana Marin | University of Split | deep learning, convolutional networks |
Ivette María Cabana Pérez | Cuban Center for Neurosciences | Database, models, disease progression, aging |
Ivo Dinov | UCLA | Alzheimer's disease, statistics, shape |
Ivor Cribben | University of Alberta | Networks; Longitudinal networks; Resting state |
ivy 安 | 内蒙古医科大学 | Alzheimer's disease |
Iwona Dobler | Takeda Pharmaceuticals International Co. | biomarker |
Izunna Aneke | University College London | machine learning, msc, mri |
J hhhh | Shandong Traditional Chinese Medicine Universe | AD;contrast |
j j | University of Vermont | temporary, analsysi, |
J Samraj | ANIQUE | alzeimer disease |
j w | GuangXi University | Medical Image |
j xh | Beijing Normal University | research |
j xh | Beijing Normal University | research |
J.F Zhou | North University Of China | Deep Learning, AD Diagnosis |
J.T. Wang | Sanya central Hospital | LncRNA,AD |
Jaafar Alghazo | Prince Mohammad Bin Fahd University | Alzheimer; Image Processing; Deep Learning; Medical Diagnosis |
Jabeur Mouna | ENET'com Sfax | ADNI, MRI, Medical Imaging |
Jabeur Mouna | ENET'com Sfax | ADNI, MRI, Medical Imaging,DL |
Jabli Mohamed amine | Eniso Sousse | Alzheimer,DL,deep learning |
Jace King | University of Utah | resting-state fmri, sustained connectivity, lagged based connectivity |
Jack Albright | Nueva School | Machine Learning, Student, TADPOLE |
Jack Geraghty | University College Dublin | Multimodal Learning, Modality Information, Information Relevance |
Jack Highton | King's College London | Arterial Spin Labelling, Machine Learning |
Jack JJ | Kangwon national university | research |
Jack Kuchler | University of Nevada Reno | neural network |
Jack Law | Hunan Normal University | brain morphogenesis, cortical gyrification, aging, folding, Alzheimer’s disease |
Jack Pollard | University of Bath | Deep Learning, Medical Imaging, CNN, GAN, DCGAN |
Jack Wang | Guangdong university of technology | medical, unet |
Jack Weatheritt | IXICO | Deep learning, neural networks |
Jack Weston | Novoic Ltd | Speech, language, machine learning, story recall |
Jack Wu | BNU-HKBU UIC | Deep Learning |
jack Z | Civil Aviation University of China | study |
Jackeline Flansburg | Rancho Biosciences | curation biomarker ALS |
Jackson Silva | USP São Carlos | AD, Math, Computation, IA |
Jacky Chen | Johns Hopkins | Imputation challange |
Jacky Wang | SJTU | registration |
Jacob Breiting Sönnichsen | Brainreader A/S | Neurodegenerative algorithm |
Jacob Diaz | Cornell University | Alzheimer's disease, fMRI, Classification, Deep Neural Network |
Jacob Gjerdalen | University of Victoria | DTI |
Jacob Kosyakovsky | University of Virginia | Brain Aging, Neurodegenerative Disease, Alzheimer's, Mathematical Model |
Jacob Levman | St. Francis Xavier University | machine learning, statistical analysis, classification |
Jacob Owens | Georgia Institute of Technology | ML |
Jacob Pagel | Texas A&M University | bayesian, statistics, undergraduate |
Jacob Pineda | USC | ADNI |
Jacob Rast | Carnegie Mellon University | Alzheimer's disease, AD, biomarker |
Jacob Shaw | Johns Hopkins University | Hormone replacement therapy; brain aging; Alzheimer's Disease |
Jacob Silberg | Stanford | MRI |
Jacob Thrasher | West Virginia University | machine learning, survival analysis, cox regression, dementia, |
Jacob van Doorn | University of Illinois at Chicago | Connectivity, MCI |
Jacob Way | San Diego State University | machine learning, data science, alzheimer's diseas, neural networks |
Jacob Ziontz | University of California - Berkeley | Sulci, aging, tertiary, anatomy, morphology |
Jacqueline Hogan | University of Massachusetts Boston | vvvvv |
Jacqueline Lai | UTS | genetics, AD, mutation, Variant calling |
Jacqueline Maasch | Cornell University | causal inference, causal structure discovery, phenotypic associations |
Jacqueline Meza | Universidad Adolfo Ibáñez | Optimization, Clinical trial |
Jacques-Yves CAMPION | Aix-Marseille University | machine learning, classify, alzheimer disease, fdg-pet, mri, discordance index |
Jaden Wang | Summer STEM Institute | Alzheimer's, PET, MRI, resNet, GradCAM, fusion image |
Jaden Wang | Oakton High School | Fusion Image, Alzheimer's, Deep Learning Model, ResNet, PET, MRI |
Jadesola Osinowo | Loughborough University | Investigating the use of reinforcement learning for predicting Alzheimer's disea |
Jae Hoon Sul | UCLA | rare variant |
Jae Won Choi | Armed Forces Yangju Hospital, South Korea | MRI, deep learning, Image-to-image translation |
Jaegeun IM | KAIST | fMRI, brain network, Alzheimer's disease |
jaehan park | Kumoh National Institute of Technology | machi |
Jaeho Kim | Samsung medical center | EOAD |
Jaehong Moon | Seoul National University | compressed sensing, continual learning |
Jaehwan Lee | Kohyoung | AD, Maching Learning, Image Classification |
jaehyung bae | Seoul National University Hospital | brain MRI |
Jaehyung Lee | POSTECH | Deep learning |
Jaeseung Yang | DGIST | deep learning |
Jaesik Kim | Ajou University | classification, deep learning, graph convolutional network |
Jaewoo Kim | Gwangju institute of science and technology | Alzhiermer |
Jaeyeol Kim | Gachon Univ. | Deep Learning |
Jaeyoon Chung | Boston University School of Medicine | GWAS CSVD stroke ICH |
Jafar Zamani | AUT | FMRI |
jagadeesh kakarla | iiitdm kancheepuram | brain, disirder, estimation |
Jagadeesh Palli | Aitam college | disease detection |
Jagadeesh Tummala | V R Siddhartha | Quality check of MRI registration |
Jagadeeswara Rao Annam | Gudlavalleru Engieering college | Alzeimers progression satges |
Jagan Jacob | Govt. Model Engineering College, Kochi, Kerala, India | Research |
Jagan Pillai | Cleveland Clinic Lerner College of Medicine | MCI, Alzheimer's, systems biology, pathway, inflammation, biomarkers |
Jagath Rajapakse | Nanynag Technological University | fMRI, dementia, Alzheimer's disease, functional connectivity |
Jagdeep Podichetty | iResearch Institute | Machine Learning |
JAGDISH INGALE | SKNCOE, OUNE | Alzheimer Disease Diagnosis, Deep Learning, sMRI, Image classification, Discrimi |
Jagdish Mudegaonkar | GHRCEM Pune | MRI, CT, Brain diseases, fMRI |
Jagdish Vij | ALGOMEDICA | IMPROVE QUALITY |
JAGRATI GAUTAM | AVENTIOR | 3 |
Jahangheer Shaik | Takeda | Deep learning |
Jahnavi Shriram | University of Arizona | HDAC |
Jai Arora | Netaji Subhas Institute of Technology, New Delhi | Na |
Jai Sankar | University of California, Berkeley | Data Science, Capstone Project, Deep Learning, |
Jaiashre Sridhar | Northwestern University | ADNI2 |
Jaichandran R | Aarupadai Veedu Institute of Technology | deep lerning |
Jaikanth J | SASTRA | 3D CNN, Alzheimer’s, detection |
Jaila Coleman | UCLA Health | Upload Images |
Jaime Mondragon | University Medical Center Groningen | Activation, anosognosia, cognitive reserve, connectivity, conversion, LOAD, MCI |
Jaime Ramos-Cejudo | New York University | Biomarkers CSF blood cognitive decline cardiovascular function |
Jair Tenorio | ADNTRO Genetics | Alzheimer, Machine learning, genomic data, genetics, prediction, algorithm |
Jaivardhan Kapoor | University of Tübingen | Machine Learning, Spatiotemporal Analysis, Probabilistic Generative Models |
Jake Bamrah | Ulster University | Graph Neural Network, Alzheimer's Disease, Decision Support System |
Jake Carus | Biogen | Symposium |
Jake Qualls | Arkansas State University | algorithms, alzheimers, computation, analysis |
Jake Rhodes | Idaho State University | Supervised dimensionality reduction, random forests |
Jake Toth | University of Sheffield | MRI, GAN |
Jakelini Engel | UNOESC | Alzheimer diagnosis |
JAKELINI ENGEL | Unoesc | Alzheimer |
Jakob Meglič | Univerza v Ljubljani | CNN, Machine Learning |
Jakob Träuble | University of Cambridge | self-supervised learning, contrastive learning, semi-supervised learning |
Jakob Udovic | University of Ljubljana | machine learning, ai, cognitive disease |
Jakub Hasiec | Warsaw School of Economics | Predictive modelling, data mining, Alzheimer's disease |
Jakub Hlavka | USC Price School | outcome measurement, Alzheimer's disease, functional, behavioral, cognitive |
Jakub Janarek | Jagiellonian Univeristy | machine learning, neural networks, classification |
Jakub Kędzierski | Wrocław University of Science and Technology | image super resolution, dealiasing, GAN, CNN |
Jakub Stojanowski | Wroclaw Medical University | deep learning, neurology |
jakub Vohryzek | University Pompeu Fabra | whole-brain models |
Jakub Wachowski | Politechnika Wrocławska | Alzheimer's, machine learning, dementia progression |
JALAL UDDIN | NED university of engineering & technology | research |
Jamal Mohamed B | SSN COLLEGE OF ENGINEERING,CHENNAI | Alzheimer |
James Arnott | Royal Holloway | Machine Learning, Transfer Learning, MRI |
James Brewer | UCSD | subregional change MRI, PET |
James Calo | Imperial College London | Machine Learning GAN Pix2Pix CycleGan Federated Rival Segmentation |
james chang chien | taiwan | Transfer learning; Nuclear Medicine |
James Chapman | UCL | Machine Learning Neuroimaging Brain Behaviour Associations |
James Choi | Sabio Research | Alzheimer Machine Learning Neural Networks |
James Clark | Diadem | Prognostic, Diagnostic, Biomarkers, CN, MCI, AD |
James Clifford | college of san mateo | Alzheimer's disease |
James Cole | Imperial College London | Aging, Machine learning, T1, DTI |
James Doecke | CSIRO | CSF, Amyloid, PET |
James Flack | University College Dublin | Neural Network, Alzheimer's Disease |
James Giang | University of Agder | Machine learning masterthesis |
James Hengenius | University of Pittsburgh | cortical surface area, neurocogntive reserve |
James Howlett | Medical Research Council | EPAD Risk Modelling |
James Jaramillo | Georgetown University | MCI, Dementia, MMSE, APOE |
James Kelbert | Stanford | CFI, MMSE, CDR, ADCS ADL-prevention, Cogstate, GDS, Volumetric MRI, Amyloid PET |
James Kent | UT Austin | reproducibility |
James Koch | Fujirebio Diagnostics, Inc. | PET scan, blinded, sample ID |
James Kost | Merck & Co., Inc. | Parameter Estimates, Cognition |
James Lah | Emory University | CSF, Abeta, Tau |
James LeBron | HUAWEI | Do experiment |
James Li | Ardent Academy for Gifted Youth | APOE, Neural Network, Ordinary Regression |
James Liu | Colorado State University | Alzheimer's disease, MRI, Optimal transport, numerical algorithm |
James Luo | USC | adni |
James McVittie | University of Regina | survival analysis; measurement error; prevalent cohort study; combined cohort |
James Moggridge | UCL | Hippocampus; Segmentation; Machine Learning; MRI |
James Moggridge | National Hospital for Neurology and Neurosurgery | Hippocampal; Segmentation; MR; Neurodegenerative |
james murray | Newcastle University | joint modelling, longitudinal, survival, health data |
James O'Callaghan | Imperial College London | research medical imaging |
James O'Connell | University of East Anglia | Machine Learning, Dementia, Brain Images |
James Poirier | California Polytechnic State University San Luis Obispo | Artificial Neural Networks, Machine Learning, Alzheimer's Disease |
James Ross Foy O'Hagan | Florida State University | fMRI, fMRI data, Variational methods, connectograms, MMSE, EM algorithm |
James Ross Foy OHagan | Florida State University | fMRI, Connectograms, EM Mixture Model |
James Smith | Durham University | deep learning unsupervised learning anomaly detection MRI |
James Stanis | USC Stevens Neuroimaging and Informatics Institute | volume rendering |
James Timmons | University of Miami Miller School of Medicine | Blood RNA, U219 Affymetrix chip data, age, gender, insulin, glucose, rin |
James Uanhoro | University of North Texas | Bayesian psychometrics |
James Willoughby | UCL | object detection, deep learning |
James Yan | Shangqiu First People's Hospital | Telomere T/S ratio |
James Young | Luminova | fMRI, deep-learning, fNIRS |
James Zhang | Harvard University | Machine learning |
James Zou | Columbia University Medical Center | tau PET, machine learning, deep learning |
Jamie Clarke | University of Miami | CSF biomarkers, Alzheimer's disease, NPS, NCI |
Jamie Ford | Imperial College London | Functional connectivity, resting-state fMRI, structural MRI, amyloid |
Jamie Hanson | University of Pittsburgh | brain age |
Jamie Lee | Biomedical Engineering | Effective Connectivity,fMRI,DTI.Alzheimer's disease |
Jamie Lee | Georgetown University Cognitive Neuroimaging Lab | Alzheimer's |
Jamie Near | McGill University | Non-steroidal anti-inflammatory drugs (NSAIDs), Brain anatomy, Alzheimer's Dis. |
Jamie O'Reilly | Rangsit University | Deep learning; automatic screening; biomarker research |
Jamie Roberman | Baylor University | Statistics, confidence region, predictive values |
Jamie Vo | University of Western Australia | Deep learning, Multimodal, Mild Cognitive Impairment, Alzheimer's disease |
Jamila Ahdidan | Aarhus University | AD, hippocampus, prediction |
Jan Ehrhardt | University of Lübeck | disentanglement, metamorphic autoencoder, normative modeling |
Jan Erik Hammersmark | Science and Technology | bachelor |
Jan Ernsting | University of Münster | brain-age uncertainty machine learning |
Jan Karla Manit | Southwestern University PHINMA | Alzheimer's Disease |
Jan Karlo Rodas Marín | Universidad de Antioquia | Alzheimer's disease, genetic risk, dynamic connectivity, cognition |
Jan Krumsiek | Weill Cornell Medicine | metabolomics, stratification, computational biology |
Jan Krzysztof Blusztajn | Boston University School of Medicine | plasma biomarker amyloid tau |
Jan Samzelius | NeuraMetirx, Inc. | Variability |
Jan Sebastian Novotny | St. Anne's University Hospital in Brno | cognition, aging, longitudinal, MCI, biomarkers, risk factors |
Jana Bratanić | Faculty of science Split | alzheimer desease |
Jana Fehr | Hasso-Plattner-Institute | Causal Inference, Transportability |
Jana Ivanidze | Weill Cornell Medicine | tau PET, amyloid PET, MMP-9, multimodal biomarkers |
Janaina Mourao-Miranda | University College London | machine learning, multimodal neuroimaging, Alzheimer’s disease |
Janakasudha G | Sri Venkateswara College of Engineering | Alzheimer's Disease, Brain image analysis, machine learning and deep learning |
Janavi Khochare | Georgia Institute of Technology | Machine Learning,Alzheimer’s disease |
Jane Johnston | Neurotez Inc | Leptin, clinical trial, Alzheimer's |
Jane Joseph | Medical University of South Carolina | rsfMRI, graph theory, machine learning |
Jane Klemen | Otto-von-Guericke University Magdeburg | DeepLearning, transfer to clinic |
Jane Taylor | Edmonton Public Schools | International Baccalaureate, Alzheimer's temporal lobe, depression |
Jane-Ling Wang | University of California, Davis | functional connectivity, functional data analysis, fMRI |
Janerra Allen | University of Maryland Baltimore County | biomarkers, Alzheimer's, dementia |
Janet Groat | Manukau Institute of Technology | machine learning, AI, Data Science |
JANG DONGGON | KAIST | Deeplearning |
Jangwook Kim | Ajou University | Machine Learning, Representation Enrichment, Semi-supervised Learning |
Janina Ried | AbbVie Deutschland GmbH & Co KG | genetics, proteomics, biomarker, AD |
Janine Bijsterbosch | Washington University in St Louis | AD risk, depression |
Janis Vahldiek | Charité - Universitätsmedizin Berlin | 3D CNN classification |
Janis Zenkner | University of California, San Diego | Functional Connectome Fingerprinting, Alzheimer's, Neural Networks |
Jannatul Chhoa | University of Houston | Machine Learning, Brain Segmentations |
Janne M. Papma | Erasmus Medical Center | Neuropsychiatric symptoms, Alzheimer's disease |
Jannik Deuschel | Carnegie Mellon University | Clinical decision support, policy learning, machine learning |
Jannis Müller | University Hospital Basel | Multiple Sclerosis, MS, AD, Volumetry, Plexus choroideus, CP |
János Barbero | Northwell Health | machine learning, convolutional neural networks |
Janosch Bajorath | IKW - Institute of Cognitive Science | Cognitive Science, Contrastive predictive coding, deep learning, Classification |
Jantje Goerdten | University of Edinburgh | Dementia, risk prediction, middle-age |
Jared Brosch | Indiana University | exposome risk factors |
Jared Cammon | University of Houston | DTI, MCI , NPIQ |
Jared Cara | Vivid Genomics | Genomics, machine learning, prediction, co-morbidities, pathology |
Jared Courtney | The Hill School | high school research |
Jared Silbermann | University of Sydney | GAN |
Jared Tanner | University of Florida | MRI, VBM, MCI |
Jaroslav Tocik | Masaryk University | Cognitive reserve, Cognitive decline, Cognitive aging |
Jarrad Foley | University of Leciester | Alzheimers, brain scan |
Jarrel Brown | Pennsylvania State University | fMRI |
JARREL SEAH | Alfred Health | Deep learning, Generative modelling, Knowledge Discovery |
Jasjappan Singh | Manipal | AI ML. CNN, Student Researcher |
Jasmeet Hayes | The Ohio State University | Parkinson's disease; cortical thickness; genetics |
Jasmine Shinault | University of Maryland | MRI and fMRI |
Jasmine Wang | Universiti Teknologi Malaysia | White Matter Lesion |
Jason Bock | Embic | MCI, AD, longitudinal, prediction, bayesian modeling, biomarkers, amyloid, tau |
Jason Chan | University of Calgary | Gene expression, amyloid, tau, neurodegeneration, PET, MRI |
Jason Chen | Bioclinica | Testing algorithms |
Jason Druzgal | University of Virginia | Basal forebrain; cognitive impairment; VBM |
jason langley | University of California Riverside | R2*, iron |
Jason Li | Boston University | Neural network. Alzheimer detection |
Jason Schissel | n/a | AI, product analysis |
Jason Shu | None | Kaggle, missing data |
Jason Wang | Beijing Institute of Technology | test, machine learning, software |
Jason Webster | University of Washington | Alzheimer's disease, MRI, CSF, functional connectivity |
Jason Young | Institute of Computing Technology | Deep Learning; Alzheimer's disease |
Jason Zhang | UCL | Alzheimer's Disease; Machine Learning |
Jasper Lu | HuaZhong University Huazhong University of Science and Technology | medical image analysis |
Jata MacCabe | University of British Columbia | LLM, Brain |
Jatin Bedi | Thapar Institute of Engineering and Technology | Deep Learning |
Jatin Jangir | IIT Indore | ML |
JATINDER SINGH | HGL | SDSDSDSSD |
Jaume Banus Cobo | INRIA | Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid |
Jaunty Liu | 天津工业大学 | Jaunty |
Javad Hassannataj Joloudari | Birjand University | ADNI database, Alzheimer disease diagnosis, Artificial Intelligence |
Javad khodaii | university of Malaya | MRI, Alzheimer |
Javaria Baseer | National University of Science and Technology(NUST) | CSF, blood, serum, Proteomics, Mass Spectrometry, Swaath analysis |
Javier Andrés Sierra Pineda | Universidad tecnológica de Pereira | Multi-View Learning, Canonical Correlation Analysis, IRM, multimodality |
Javier De Velasco Oriol | Instituto Tecnologico y De Estudios Superiores de Monterrey | Machine Learning, Deep learning, Genomics |
Javier Escudero | University of Edinburgh | Machine learning, Decision support, biomarkers |
Javier Fernandez | Cross Labs | MRI, illiterate, educated |
Javier Guerra | Hotchkiss Brain Insitute | Deep Learning, medical imaging |
Javier Oltra-Cucarella | Universidad Miguel Hernández de Elche | mild cognitive impairment, cognitive variability, NIT, neuropsychology |
Javier Orlandi | University of Calgary | network inference, time-series analysis, fmri modeling |
Javier Quilez | Clarivate Analytics | amylin, amylin pathway, Alzheimer’s disease |
Javier Requelme Ibañez | Hospital Almanzor Aguinaga | TQyKpM15y |
Javier Sabín | Universidad Carlos III de Madrid | Variational autoencoders |
Javier Solís García | University of Seville | Deep Learning, |
Javier Tang | Fudan | deep learning |
Javier Valle | Microsoft | segmentation |
JAWAD ALI | AMITY INSTITUTE OF BIOTECHNOLOGY | ALZHEIMER |
jawahar b | kongu engineering college | dataset |
Jaxon Cook | University of Colorado, Boulder | datasets, r, Alzheimer's, biomarkers, |
Jay Hung | Calyx.ai | N/A |
Jay Nanavati | AstraZeneca | AI |
Jay Shah | Arizona State University | deep learning, machine learning, neuroimaging, biomarkers |
jay tom | lanzhou university | 111222333abc |
Jaya Bagaria | Gachon University | Sporadic EOAD, GWAS, WES, PRS |
Jayakrishnan KP | TKM College of Engineering, Kollam, Kerala, India | Project, nifti |
Jayant Chhilar | Massachusetts General Hospital | multi-modal |
Jayant Harwalkar | PES University - EC Campus | Machine Learning, Alzheimer's disease, Predictive Diagnostics, Deep Learning. |
Jayant Toleti | Amrita Vishwa Vidhyapeetham , Chennai | Alzheimer's Identification, Neural Networks |
Jayapriya Kalyanakumar | Vin Solutions | Artificial inteligence |
Jayashree Jayashree | Manipal Institute Of Technology, Manipal | Alzheimer's disease, machine learning |
Jayashree Srinivasan | SASTRA University | Brain Disease Classification using CNN |
jayavel G | anna university | alzheimer desease |
jayrajsinh chudasama | Birla Vishvakarma Mahavidyalaya | dataset mri image with label |
Jayshree Aher | MIT World Peace University, Pune | Machine Learning. Data Analyti |
JB Martini | Braintale | prediction, dwi |
Jean Chen | Baycrest Health Sciences | perfusion, metabolism |
Jean Christopher Oliveira Pinheiro | UFOP | PRECIDCTION AD, DEEP LEARNING, MRI, PET |
Jean de Dieu Uwisengeyimana | University of Science and Technology of China | MRI,DTI,FMRI |
Jean Way Loh | The University of Hong Kong | structural MRI data analysis |
Jean Yu | Summer STEM Institute | early diagnosis, detection, biomarkers, genetic profiles |
Jean-Baptiste Martini | Qynapse | brain, mri, segmentation, neuroimaging |
Jean-Baptiste SCHIRATTI | OWKIN | disease progression, longitudinal data, AI, structured data |
Jean-Charles Lambert | Inserm | Alzheimer, genetic, sequencing |
Jean-Christophe Quillet | Cannformatics | metabolomics |
Jean-Pierre Roussarie | Rockefeller University | neuron vulnerability - vulnerability genes |
Jeanne Latourelle | GNS Healthcare | Causal models; Machine Learning |
Jeanne Mandelblatt | Georgetown University | Cognitive aging, cancer related cognitive decline |
Jeanne-Marie Linker | UNC Charlotte | Efficient Neural Ensembles; image classification; medical diagnostics |
Jeannie-Marie Leoutsakos | Johns Hopkins School of Medicine | simulation, power analysis, mixed effects model |
Jee Seok Yoon | Korea University | Machine Learning, Deep Learning, Early Identification of AD |
JEE WOOK KIM | Hallym University Dongtan Sacred Heart Hospital | subjective memory complaint, , Alzheimer's disease, MCI, cognitive normal |
Jeehyun Lee | Georgia Institute of Technology | prediction |
Jeein Kim | The University of Hong Kong | ANDI, MRI |
Jeesun Jang | Yonsei University | Multi label |
Jeetashree Aparajeeta | VIT | alzheimer's disease |
Jeeyoung Kim | Asan Medical Center | Alzheimer's Disease |
Jeff Duyn | NIH | fMRI global signal |
Jeff Duyn | NIH | fMRI global signal |
Jeff Kriske | Eli Lilly and Company | deep learning |
Jeff McDonald | UT Southwestern | lipids, Mass Spectrometry |
Jeff Prescott | Duke University Hospital | DTI, structural connectivity, amyloid PET imaging |
Jeffery Ott | USF | MRI, COGNATIVE SCORES |
Jeffrey Anker | Clemson University | Amyloid beta oligomers |
Jeffrey Boward | University of Arizona College of Medicine Phoenix; Banner Alzheimer's Institute | white matter hyperintensity volume; hippocampal/ventricular volume; Alzheimer's |
Jeffrey Brabec | University of Vermont | NetWAS, PheWAS, CNNs, Derived-phenotypes, Canonical Correlation Analysis |
jeffrey burgdorf | Northwestern University | EEG alpha delta |
Jeffrey Dage | Eli Lilly and Company | Biomarkers |
Jeffrey Petrella | Duke Health | Dementia, Alzheimer's disease, Mild cognitive Impairment |
Jeffrey Phillips | Penn FTD Center, University of Pennsylvania | neuroimaging, staging, posterior cortical atrophy, logopenic progressive aphasia |
Jeffrey Saavedra | Universidad del Norte | AI,CNN |
Jeffrey Thompson | University of Kansas Medical Center | deep learning, cognitive impairment, Alzheimer's disease |
Jeffrey Zahratka | Baldwin Wallace University | tau, machine learning, mild cognitive impairment, Alzheimer's disease |
jeffson fu | Chongqing University of Posts and Telecommunications | image |
Jehan Patel | University of Michigan - Ann Arbor | tensor data, machine learning, data science |
Jehyeong Yeon | Yonsei University | diffusion tensor image, brain, machine learning |
Jeiran Choupan | USC | PVS |
Jelle Veraart | NYU Schoof of Medicine | Diffusion Kurtosis Imaging |
Jen Hu | Chung Shan Medical University | Resting state fmri |
Jen-Chieh Teng | National Taiwan University | latent cluster regression |
Jeng-Lin Li | Inventec Corp. | Personalization, multimodal, gene |
Jenith Nizanth | Imatiz | ADNI |
Jenna Adams | UC Irvine | resting state functional connectivity |
Jenna Ballard | University of Pennsylvania | variational autencoder, incomplete multi-omics embedding, machine learning |
Jenna Bedrava | University of Michigan | University of Michigan, Bayesian |
Jenna Blujus | UWM | Alzheimer's disease |
Jenna Butterworth | University of Victoria | white matter, integrity, healthy aging |
Jenna McKee | Chapman University | Alzheimer's disease, mindfulness, lifestyle factors, memory, stress, attention |
Jenna Pappalardo | Alector | genetics metabolism neurodegeneration |
Jenna Pappalardo | Leal Therapeutics | proteomics, pQTL, genetics |
Jenna Wiens | University of Michigan | machine learning, deep learning, feature representation, multiple modalities |
Jenna Wilkes | University of Surrey | Machine Learning |
Jenna Yun | Imperial College London | PD, matching healthy controls, longitudinal analysis |
Jennapher Lingo VanGilder | Arizona State University | DWI |
Jennifer Barreto | Medical Academy for Science and Technology | Machine learning, Support vector machine, deep learning |
Jennifer Blackwood | University of Michigan-Flint | MCI, neurological exam, vital signs |
Jennifer Bogert | Janssen Research & Development, LLC | cognition, Alzheimer's Disease |
Jennifer Bramen | Pacific Neuroscience Institute Foundation | Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), Gaussian Naive Bayes |
Jennifer Bruno | Stanford | connectomes, PET, machine learning, amyloid, tau |
Jennifer Carson-Gonzalez | Carle Illinois College of Medicine at the University of Illinois Urbana-Champaig | Alzheimer's Dementia neurodegeneration |
Jennifer Fey (Erway) | Wake Forest University | machine learning, optimization, quasi-Newton methods |
Jennifer French | University of Maryland | GWAS |
Jennifer Harris | The Norwegian Institute of Public Health | DNA methylation patterns, Alzheimer's, Mild Cognitive Impairment, biological age |
Jennifer Joo | Ewha W. University | memory dysfunction |
Jennifer Kim | Yale School Of Medicine | traumatic brain injury, resting state fMRI, connectivity, DTI |
Jennifer Kung | Alliant International University, Los Angeles | depression symptoms |
Jennifer Labus | UCLA | Multi-omics network analyses |
Jennifer Martinez | Quinnipiac University | Alzheimer's Disease, AD, myelin sheath, PET, BOLD, imaging |
Jennifer Nevers | WSU. Doctoral candidate | Onset, detection, Alzheimer’s, neurodegenerative, cognition |
Jennifer Padilla | (CUNY) New York City College of Technology | late onset of AD, AD biomarkers, organic dementia, imaging of AD |
Jennifer Polson | UCLA | Stroke, Deep Learning |
Jennifer Rabin | Sunnybrook Research Institute | Vascular, amyloid, cognition |
Jennifer Shearon | Washington University in St. Louis | BDNF, cardiovascular health, cognition |
Jennifer Sun | California Polytechnic State University, San Luis Obispo | Neural Network, Senior Project, Academic |
Jennifer Yokoyama | University of California, San Francisco | imaging genetics |
Jennifer Zimmer | Eli Lilly & Company | adverse events, deaths, discontinuations |
Jenny Rieck | Rotman Research Institute at Baycrest | methods developemnt; workshop; teaching; training |
Jenny Shen | University of Pennsylvania | Alzheimer's Disease, missingness |
Jens Pruessner | McGill University | Medial temporal lobe, Hippocampus, Entorhinal Cortex, structural Neuroimaging |
Jenyfer E Toj Lopez | UDEM | jkn kjn |
Jeong Yong Hwang | GIST | Dataset |
Jeongchul Kim | Wake Forest University Baptist Medical Center | Brain imaging, Biomechanic, Deformaiton, MCI/AD |
Jeongeun Kim | Electronics and Telecommunications Research Institute | medical diagnosis, multi-modal |
Jeonghun Kim | Korea University | neuroimage |
Jeongil Seo | Seoultech | Brain |
JEONGMOO LEE | SAMSUNG SDS | Data |
Jeongyeol Ahn | Seoul National University | Machine learning, Alzheimer disease, MRI |
Jeongyoung Hwang | GIST | AD |
Jeonhui Lee | hankuk university of foreign studies | alzheimer |
Jephtah Uche | Federal University of Technology, Akure | Alzheimer’s disease, deep learning, 3D convolutional neural network, autoencoder |
Jeremi Ochab | Jagiellonian University | non-linear correlations, dynamic functional connectivity |
Jeremiah Emidih | University of Maryland | Graph Matching, Data Integration |
Jeremiah Ronquillo | Geronimo Ronquillo LLC | Alzheimer's disease, electronic health records, EHR, genomics |
Jeremie Lespinasse | University of Bordeaux | biomarker, disease progression, longitudinal data |
Jeremy Elman | UCSD | Pupillometry, aging, dementia |
Jeremy Gardette | Laboratoire de Psychologie et NeuroCognition | volumetry, control group |
Jeremy Gaskins | University of Louisville | Statistical methodology, Bayesian methods |
Jeremy Grant | University of Florida | cognitive change, social determinants of health |
Jeremy Lefort-Besnard | Inserm U1075 Comete | fMRI aMRI MCR MCI subgroups biomarkers |
Jeremy Martinez | UCLA | Alzheimer |
Jeremy Purcell | University of Maryland | fmri, heterogeneity, differentiation |
Jeremy Rosoce | Yale University | Machine, learning, imaging, age |
Jeremy Rubin | University of Pennsylvania | Harmonization, registration, segmentation |
JEREMY SMITH | Emory University | NEUROIMAGING |
Jeremy Strain | Washington University School of Medicine | ADOPIC |
Jeremy Wang | UCLA | MRI, convolutional neural network, heritability |
Jeremy Yang | Soochow university | image processing |
Jeroen Uleman | Radboud University Medical Center | Alzheimer, System Dynamics, |
Jeroen Van Schependom | UZ Brussel - Vrije Universiteit Brussel | MRI, segmentation, AD |
Jerry Prince | Johns Hopkins University | thickness, white matter hypertrophies |
Jeryn CHang | The University of Queensland | Hypothalamus; BMI; DWI |
Jesper Madsen | Novo Nordisk | Cognitive impairment, biomarkers, clinical outcomes |
Jesse Brown | UCSF | fmri; connectivity; atrophy |
Jesse Cohen | University of Pennsylvania | cortical thickness analysis |
Jesse Helman | Janssen Pharmaceutical Companies of Johnson and Johnson | tau PET, correlation, rbans, adas-cog, cdr-sb, multiple outcomes |
Jesse Liu | Stony Brook University | MMSE, AD, MCI |
Jesse Mez | Boston University School of Medicine | Alzheimer's disease, genetics, harmonization |
Jesse Raphael Gibbs | National Institute on Aging, NIH | genetics neurodegeneration |
Jesse Wiley | University of Washington | machine learning, psychometrics, stratification, subtype |
Jessica Alatorre-Flores | Universidad Nacional Autónoma de México | Computer Vision, Machine Learning, SVM |
Jessica Bourgin | Université Savoie Mont Blanc | Amygdala; Attentional network |
Jessica Bourgin | Université Savoie Mont Blanc | emotion; attention; amygdala |
Jessica Culhane | University of Washington | data dictionary |
Jessica Damoiseaux | Wayne State University | functional connectivity, hippocampus, cognition |
Jessica Kirkland Caldwell | Cleveland Clinic Center for Brain Health | hippocampus, memory, resting state, gender, amyloid |
Jessica Lee | Chinese Academy of Sciences | preodiction of AD, DL |
Jessica McKinley | Gilead Sciences Inc. | Data Imputation, Machine Learning |
Jessica Oschwald | Roche | longitudinal modeling, AD, disease progression |
Jessica Perez | Universidad de las Ciencias Informáticas UCi | Alzheimer disease, BioCen, Bioinformatics |
Jessica Peter | University of Bern | resting state analysis |
Jessica Pommy | Medical College of Wisconsin | Cognitive subtypes; neuropsychology |
Jessica Presa | University of Buenos Aires | student, neurovascular, machine learning |
JESSICA RUGERI POLLI | UNOESC | ALZHEIMER |
Jessica Saurman | University of Colorado Colorado Springs | practice effects, longitudinal, measurement invariance |
Jessica Singh | University of Washington | sleep parameters, preclinical Alzheimer's Disease, machine learning algorithms |
Jessica Stanek | T3D Therapeutics, Inc. | ADAS-Cog, Apoe genotype |
Jessica Tenenbaum | Duke University | data warehousing, metabolomics |
Jessica Turner | Georgia State University | apathy, depression, source based morphometry |
Jessica Turner | The Ohio State University Wexner Medical Center | resting state, RVI, DTI |
jessica wu | NanChang Hangkong University | Brain disease classification algorithm based on MRI |
Jessie Han | NYU Langone | MRI, WMH |
Jessie Nicodemus Johnson | Pentara Corporation Inc | composite score |
Jesuloluwa Zaccheus | Afe Babalola University | Machine learning Alzheimer's Dementia Neuroimaging Artificial Intelligence |
Jesus Abanto | University of Cincinnati | tau, biomarkers, alzheimer |
Jesús Cabrera Álvarez | Universidad Complutense de Madrid | Brain Simulation; NMM; |
Jesus Gomar | Northwell Health | Amyloid PET |
Jesús Silva-Rodríguez | FIDIS | PVE, PVC, tau imaging, MC |
Jet Vonk | Columbia University Medical Center | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
Jet Xu | SDUST | AI |
jh kim | inha university | neuro |
Jhansi Peetha | University of Surrey | MRI for Alzheimer's |
Jhon Intriago | Universidad de Chile | MRI, PET |
Jhony Alejandro Mejia Perez | UCSF | Disease profression, Medical imaging |
Ji Hwan Min | Hanyang University | MRI harmonization, Domain adaptation |
Ji Hyun Ko | University of Manitoba | multivariate pattern analysis |
Ji Jianxuan | Zhejiang University | deep clustering |
Ji Jianxuan | Zhejiang University | deep clustering |
Ji Jundan | Nanjing University | Jjd19990818 |
Ji Li | NUS | Recovery |
Ji Pak | Johns Hopkins Applied Physics Lab | fmri data |
Ji Shaozhen | Xuanwu Hospital of Capital Medical University | jsz19871120 |
ji xiaoxi | Guangzhou Medical University | brainstem, magnetic resonance imaging, voxel-based morphometry, AD |
Ji Yeon Lee | LBNL | Scan processing |
ji yu | ShanDong univerisity, China | image registration |
Ji Zhu | Johns Hopkins University | Denoising |
Ji-Eun Kim | Inje university, College of medicine, Ilsan Paik hospital | Alzheimer's disease, Striatum, biomarker |
Ji-Hye Oh | Ulsan university | AD |
Ji-In Bang | CHA Hospital | neuroimaging |
Ji-Yuan Zhou | Southern Medical University | Association analysis; X chromosome inactivation; Biomarker; Alzheimer disease |
Jia Fan | The second hospital of Jilin University | Alzheimer disease, neuroimaging, diversity,clinical trial |
jia feimao | seu | Disease Analysis |
Jia Guo | Columbia University | AD, MRI |
Jia Guo | UC Riverside | motion artifact |
Jia Hou | Hangzhou Dianzi University | Brain Networks, functional, structural |
Jia Hua | SUN YAT-SEN university | DTI HARDI |
JIA LANJIE | school | 123456jljazj |
Jia Li | Jilin Institute of Chemical Technology | AD,thesis,graduation |
Jia Li | Jilin Institute of Chemical Technology | Alzheimer's disease,thesis |
Jia Liang | St. Jude Children's Research Hospital | Deep Learning, Neural Network, Random Forest |
Jia Liu | Capital Medical University | Serum uric acid Alzheimer disease Mendelian randomization |
jia lu | Shanghai Maritime University | machine learning, deep learning, fMRI |
Jia Ma | RTI | AZ |
jia ni shen | Shanxi Medical University | by924jdlsw |
Jia Wang | University at Buffalo | Biomarker evaluation, Diagnostic evaluation |
jia xiaotian | Northeastern University | Brain image segmentation, deep learning |
Jia Xu | University of Pennsylvania | machine learning |
JIA YUE TAN | UNIVERSITI MALAYA | alzheimer, brain disease |
Jia Zhang | Beijing Tiantan Hospital, Capital Medical University | cognitive decline, neuroimaging, MRI, PET, biomarker, gene |
Jia-ling Zhao | Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital | blood biomarkers, Alzheimer's disease, survival |
jiaao chen | Queen's University | research |
Jiachen Cai | University of Cambridge | high-dimensional biomarkers; clustering; factor analysis; gaussian process |
jiachen chen | shandong university | thanks |
JiaChen Wang | University of Chinese Academy of Sciences | mendelian randomization |
Jiachen Zhang | East China University of Science and Technology | MRI, Classfication, Neural networks, Colorectal cancer staging |
jiacheng chen | Zhejiang university of technology | MR image super resolution |
jiacheng Jiao | Harbin Engineering University | neural network,automatic detection |
Jiacheng Wang | The University of Chicago | statistics project, tensor completion, patients attributes |
Jiacun Li | Shandong Provincial Hospital | ljc1221 |
Jiadong Ji | Shandong University of Finance and Economics | Differential network analysis, Brain functional connection |
Jiadong Yan | McGill | deep learning |
Jiaen Liu | Jiaen Liu | Hippocampus, Brain structure, MRI |
jiafang liu | anhui medical university | r-fmri |
Jiafang Zhang | New York University | deep learning in Alzheimer's disease |
Jiahang Cao | Beihang University | 区块链 |
Jiahang Cao | Beihang University | deep learning model |
Jiahang Cao | Imperial College London | Alzheimer's disease, deep learning |
Jiahang Xu | Fudan University | machine learning |
jiahao liu | hengyang normal university | jinjie13 |
jiahao mei | AnHui university | deep learning,AD prediction |
Jiahe Guo | Tianjin Medical University General Hospital | iNPH |
Jiahe Ye | Tongji Hospital | susceptibility-weighted imaging |
JIAHONG GONG | Harbin Medical University | 966730967 |
Jiahong Ouyang | Stanford University | longitudinal analysis |
Jiahong Wei | Shantou university | zczczx |
Jiahong Yuan | Baidu USA | detection, deep learning, multimodal. |
Jiahuan Luo | Webank | federated learning, privacy-preserving, Deep Learning |
Jiahui Cai | stu | AD |
jiahui liang | Sun Yat-sen University | longitudinal study,structural imaging, Alzheimer's disease |
Jiahui Liu | the University of Southampton | medical machine |
Jiahui Lu | DHU | 阿尔兹海默症 |
Jiaji Lin | NIEHS | MCI, AD |
Jiaji Liu | ShanDong University | medical image registration |
jiajia gu | university | AD |
Jiajia Si | Hunan University of Technology | brain region |
Jiajia Wang | Hebei Medical University | fmri 、AD、diagnostic value |
Jiajie Peng | Northwestern Polytechnical University | genome-wide polygenic scores, machine learning, disease risk prediction |
Jiajie Qin | tianjin university | transition model,measurement error |
Jiajie Xiao | Freenome | Kaggle |
Jiajie Xu | Fudan University | Alzhiemer's disease |
Jiajie Xu | Huashan Hospital of Fudan University | Alzhiemer's disease, cerebral small vessel diseases, neuroimaging marker |
JiaJie XU | Shanghai Jiao Tong University | Surface Reconstruction |
Jiajing Wang | Xi’an Jiaotong University | Deeplearning |
jiaju Lu | Zhejiang Sci-Tech University | Alzheimer’s disease |
jiajun dang | qiqihaerdaxue | 数据 |
Jiakui Hu | Peking University | Multi Frame PET image super-resolution and denosing. |
Jialan Tu | National Chiao Tung University | Survival, Research, Disease Early Prediction |
Jiale Tan | Xidian University | medical image registration |
jiale wang | shanghaijiaotong university | brain mri super resolution |
Jiali Huang | North Carolina State University | DCM; effective connectivity |
jiali liang | The Second Affiliated Hospital, Zhejiang University School of Medicine | AD, functional connecitivity |
Jiali Xie | Shanghai East Hospital, Tongji University, Shanghai | Alzheimer,Alzheimer |
jialiang li | Jilin University, China | research use |
Jialiang Xie | Lanzhou University | survival analysis, deep learning |
jialin hu | shanghaijiaotong university | neural circuit |
Jialin LIU | SICHUAN university | influencing factors of AD |
Jialin LYU | University of Leicester | Alzheimer's Disease, diagnosis, Machine-learning, Deep-learning, classification |
Jialong Qiao | Sichuan University | graduation project, machine learning |
Jialu Liu | Xi'an University of Electronic Science and Technology, Shaanxi, China | MRI PET synthesize |
Jialu Zhao | Beijing Tiantan Hospital, Capital Medical University, Beijing, China | AD, IS, genetics |
Jiameng ZHANG | Xi'an Jiaotong University | machine learning |
jiamin chen | GDUT | segmentation |
Jiamin LIU | City University of Hong Kong | Classifiction;Support Vector Machine |
Jiaming Guo | Massachusetts General Hospital | ordinal regression, progression of AD |
Jiaming Hu | University of Miami | AD, tissue-specific, ADNI |
Jiaming Lu | Affiliated Drum Tower Hospital of Nanjing University Medical School | maching learning; AD |
Jiaming Yu | Fujian Agriculture And Forestry University | image processing Disease prediction |
jian cui | Institute of Automation,Chinese Academy of Sciences | Scientific research, AI medical diagnosis |
Jian Dong | Harvard Medical School | PET, molecular imaging, amyloid, tau, machine learning, neural network. |
Jian Gao | Guizhou University | Request |
Jian Huang | Agency for Science, Technology and Research (A*STAR) | machine learning, biomarker |
jian li | xiangya hospital of central south university | PET, MR, AD, Demography, biomarker |
Jian Li | The Chinese University of Hong Kong, Shenzhen | Deep Learning |
jian liu | 齐鲁工业大学 | academic research |
Jian Pan | Beijing Jiaotong University | Machine Learning, Deep Learning, Brain Network |
Jian Sun | Fudan University | Research |
Jian Wang | Eli Lilly and Company | partial volume correction, PET, image |
Jian Xiong | Zhangjiagang City First People's Hospital | cognitive function; executive function; MRI; brain structure |
Jian Zhang | Chongqing University Of Posts And Telecommunications | Alzheimer’s Disease, Deep Learning, Machine Learning, MRI |
Jian Zhu | Indiana University School of Medicine | IADC |
Jian-Cheng Wu | TianJin Medcial University General Hospital | pathophysiological mechanism;imaging manifestations;functional magnetic resonanc |
JIANAN CUI | Massachusetts General Hospital | medical image processing |
Jianan Fan | Huazhong University of Science and Technology | neuroimage, computer vision, pattern recognition |
Jianan Li | Xuzhou Medical University | Mitochondrial dynamics, AD |
Jianan Wei | Sichuan University | Alzheimer |
Jiancheng Sun | Jiangxi University of Finance and Econom | machine learning,MRI,Alzheimer's disease |
Jianfei Yang | Southern Medical University | Deep Learning Image Processing |
Jianfeng Luo | Fudan University | interaction biomarker |
Jianfeng Wu | Arizona State University | AD, deep learning, pathology. |
Jiang Ai | zhongguojiliangdaxue | study |
Jiang Chaok | China University of Mining and Technology | research |
jiang chunyu | NEU | jcyypbed627! |
Jiang Haitao | USTC | scientific research |
JIANG HAO | NEU | 12345642 |
Jiang Jianjian | Hubei University | None |
Jiang Juan | HNNU | 2034235329@qq.com |
Jiang Juan | Hunan Normal University | Artificial Intelligence,postgraduate research,Alzheimer's disease |
jiang mengze | Zhejiang University | AD MRI,fMRI research |
Jiang Tian | capital medical university | statistical methods risk factors |
jiang wanling | Fu Dan university | AD, MRI, biomakers |
Jiang Wentao | Wuhan University | Medical Image |
jiang yiqiao | Beijing Jiaotong University | image process. |
Jiang yurong | Tianjin University | study |
Jiangbo Cui | National University of Singapore | modifiable risk factor, dementia, neuroimaging, biomarker |
Jiangcheng Shi | Tiangong University | age-related hearing loss |
Jiangcheng Shi | Tiangong University | age-related hearing loss; mild cognitive impairment |
Jianghui Sang | NJAU | Data |
Jianglan Zhu | China University of Mining and Technology | zhujl0605 |
Jiangtao Li | Guilin University Of Electronic Technology | image reconstruction |
jiangtao zhu | the second affiliated hospital of soochow uinversity | MRI |
JIANGWANG CHEN | SUNY BUFFALO | MRI |
Jiangyue Liu | Wenzhou Medical University | CT;MRI;prediction of Alzheimer |
Jiangzhang Gan | The Hong Kong University of Science and Technology | AD diagnosis, biomarker detection |
jianhua gong | Chongqing University of Posts and Telecommunications | g7320768895 |
Jianhua Yan | Shanxi Medical University | Partial Volume Correction, AD |
Jiani Liu | University of Electronic Science and Technology | tensor regression |
Jianing Li | University of Sheffield | Research; predicting AD procession |
Jianing Li | Peking University | fMRI |
Jianing Wang | Emory University | Data access |
Jianjia Zhang | University of Technology Sydney | brain network, computer-aided diagnosis |
jiankun wang | ShanghaiTech University | personalized medical |
Jianling Bai | Nanjing Medical University | Alzheimer's disease,GWAS,Radiomics,gene-environment or gene-gene interactions |
Jianning Li | University Hospital Essen | Disentanglement; Alzheimer's disease; Brain aging |
Jianpin Chen | Shanghai AI Lab | medical image processing, deep learning |
jianping lu | Fujian Medical University Union Hospital | artificial intelligence technology;cognitive dysfunction |
jianpo su | NUDT | CNN, AD, deep learning |
Jianqiao Tian | University of Florida | Deep learning, Alzheimer's Disease, Early diagnosis |
jianshe wu | Beijing International Studies Univ. | AD; Lexical-semantic biomarker; Chinese |
Jiansong Zhang | Huaqiao Univiersity | classification;unsurpervised |
jianting Zhang | Northwestern Polytechnical University | AD |
Jianting Zhang | Northwestern Polytechnical University | AD;growth curves; |
Jianwei Chen | Northeastern University, China | neural network Alzheimer's disease |
Jianwei Zhang | USC | Cortex shape analysis, Thickness prediction |
Jianwei Zheng | Chapman University | Unsupervised learning, clustering, biomarkers |
Jianxiang Qiu | Jimei University | data-dependent, twin support vector machine, Alzheimer's disease diagnosis |
Jianxiang Xue | Henan Polytechnic University | Research on Medical Image Classification |
Jianxun Ren | Tsinghua University | deep learning, classification, prediction, AD, MCI |
Jianyang Li | Fudan University | Medical Image Analysis |
Jianyang Zhou | UCL | neuroscience modelling |
jianye pang | Xi'an Jiaotong University | machine learning |
jiao jiao | School | image fusion |
Jiao Jin | Shenzhen University | Alzheimer's disease;artificial intelligence |
Jiao Liu | Massachusetts General Hospital and Harvard Medical School | AD,MCI, healthy |
jiao yuhong | southwest minzu university | academic research |
Jiapeng Fan | Philips | DeepHealth UC8 |
jiaping wen | University of Electronic Science and Technology of China | Research |
Jiaqi Cheng | University of Canterbury | CNNs model interpretability |
Jiaqi Cui | Sichuan University | Alzheimer's disease |
Jiaqi Liu | Emory University | AD, methylation |
Jiaqiang Liao | West China School of Public Health, Sichuan University | health life styles, social environments, cognitive decline |
Jiaqiu Wang | First affiliated hospital of Zhejiang University School of Medicine | sarcopenia |
jiaru Chen | Qingdao Municipal Hospital | 15965573645cjrcjr |
Jiarui Sun | Peking University | case study; treatment effect; causal parameters |
Jiarui Xing | University of Virginia | saliency map, explainability, joint learning, multi-modaility |
Jiashuo Wang | Northeastern University | zhuzhu0108 |
Jiawei Chen | Guangzhou Medical University | AD |
Jiawei Fu | Huazhong University of Science and Technology | machine learning |
jiawei lin | hebeiuniversity | keyan |
Jiawei Luo | West China Hospital of Sichuan University | Multimodal fusion; deep learning; Alzheimer's disease; |
JiaWei OuYang | NanKai University | Medical Research. Alzheimer’s Disease. Deep Learning. Neuroimaging. |
Jiawei Wang | JiangsuUniversity | Multimodal classification |
Jiawei Yang | Beihang University | DNN, DL, biomarker |
Jiaxiang LI | Zhejiang University | Alzheimer’s disease, MRI |
Jiaxin Cai | Xi'an Jiaotong University | AD, MCI, dementia, MRI, PET |
Jiaxin He | National University of Singapore | Statistical Regression Analysis |
Jiaxin Liu | University of Electronic Science and Technology of China | computer aided diagnosis,Alzheimer's disease |
Jiaxin Xu | Tsinghua University | patient visit |
jiaxin zhu | Zhejiang University of science and technology | search |
JiaXing Huang | QUFU Normal University | 20021125hjx. |
Jiaxing Xu | NTU | Deep Learning |
Jiaxiu Luo | Southern Medical University | Medical image analysis |
Jiaxiuxiu Zhang | Northern California Institute for Research and Education | rsfMRI, BOLD, CSF |
Jiayao Liu | Qingdao University | anxiety and cognition |
JIAYAO ZHOU | tsinghua | lilrb4 |
Jiayi Dai | University College London | Alzheimer’s disease progression modelling |
Jiayi FAN | 上海财经大学 | 函数型数据分析 变量选择 |
JIAYI GUO | Tianjing University | fMRI Analysis |
Jiayi Li | Sichuan University | deep neural network, medical image analysis |
jiayi lu | Cixi Institute of Biomedical Engineering(CIBE) | joint brain-eye study, neurodegenerative changes in AD,deep learning |
Jiayi Sun | City University of Hong Kong | Female Alzheimer's Disease |
Jiayi Xu | University of Michigan | fMRI data analysis |
jiayi zhang | Shandong Normal University | 740726 |
Jiayi Zhu | Southwest Minzu University | fMRI, dFC |
Jiayin HUANG | Hospital | Risk decision making,aMCI,MRI |
Jiaying Li | Shenzhen institutes of Advanced Technology Chinese Academy of Science | Deeplearning;AD prediction |
jiaying lu | Huashan Hospital Fudan University/ University hospital of Bern | tau PET, asymmetry |
jiaying qian | Sun Yat-sen University | Hippocampus segmentation |
Jiaying Weng | Bentley University | Graph, Sufficient dimension reduction, Sufficient variable selection |
Jiayu Guo | Fudan University | image segmentation |
Jiayu Guo | The First Affiliated Hospital of Sun Yat-sen University | neruology, cognition |
Jiayu Huo | King's College London | AD, Deep Learning, Generative Models |
Jiayu Wang | Yunnan University | Diagnosis, Multi-modal data fusion |
Jiayu Ye | Qilu University of Technology (Shandong Academy of Sciences) | machine learning |
Jiayu Zhou | USC | EE 638 course project |
Jiayuan Ding | VMware, Inc | Machine Learnrinig |
Jiayuan Xu | Tianjin Medical General Hostpital | Alzheimer’s disease; normal aging; salience network; gray matter volume; functio |
Jiayuan Zhu | Xi'an Jiaotong-Liverpool University | medical image classification; deep learning |
jiayue wu | 南京邮电大学 | 阿尔兹海默症;诊断预测;数据处理;Alzheimer's disease;Diagnostic prediction;Data processing |
Jiazhen Hu | Johns Hopkins University | progression of Alzheimer's disease |
Jichan Park | Korea University(Korea, south) | longitudinal |
jichao yan | United Imaging | AD Registration |
Jicheng Qiu | SY | 1478582 |
jie Ding | Nanjing Tech University | ADNI data |
jie fang | Ningxia University | medical image processing, AD's early screening |
Jie Guo | Shandong Jianzhu University | multimodal machine learning |
Jie He | University of Pittsburgh | PCA, fMRI, Functional Connectivity, SNP, Machine Learning |
jie huang | The First Affliated Hospital of Bengbu Medical College, Bengbu, China | AD,Risk factors, prognosis |
Jie Li | yunnan university | Tensor decomposition;feature extraction |
Jie Li | peking union medical college hospital | Alzheimer‘ disease; dementia; risk gene |
Jie Li | Hebei Medical University | lijie432 |
JIE LIANG | university of texas health sciencce center | CNN, 3-D image, classify |
Jie Lin | Jie Lin | deep learning |
Jie Lin | Sun Yat-sen University | Graph neural network; Deep Learning |
jie liu | Northwest Normal University | imaging genetics;Alzheimer's disease |
jie lv | ZheJiang University | sMRI、AD |
Jie Mei | University of Quebec at Trois-Rivieres | Machine learning, deep learning, Alzheimer's disease |
Jie Pan | Sun Yat-sen University Cancer Center | age prediction, radiation, Nasopharyngeal carcinoma |
Jie Peng | Southern Medical University | fMRI |
Jie Shen | AbbVie | machine learning, deep learning, analytics |
Jie Sun | Department of Radiology and Tianjin Key Laboratory of Functional Imaging | multiple sclerosis |
jie tan | Hunan Normal University | individual research |
Jie Wang | Simon Fraser University | Thesis work |
jie wang | shanxi university of finance and economics | model; alzheimer |
Jie Wang | China University of mining and technology | experiment;MR to PET |
Jie Wei | University of North Carolina at Chapel Hill | brain MR image segmentation |
Jie Wu | East China Normal University | research |
JIE WU | BEIJING University | classification |
JIE WU | peking university | classification, feature & AD |
Jie Xue | Shandong Normal University | deep learning, radiology, Hippocampus |
Jie Yang | 重庆邮电大学 | Brain Science |
Jie Zhang | Indiana University | network mining, biomarker identification, bioinformatic analysis |
Jie Zhang | Independent researcher | CD40, alzheimer's disease, cognition, neurodegeneration. |
Jie Zhang | Shansier Medical, Inc. Hangzhou, China | AD, MCI, Biomarker, APOE4, Amyloid |
Jie Zheng | Peking University | Alzheimer, Structure, Stiffness |
Jie Zhou | Shanghai Jiao Tong University | Statistics, Images, Regression |
Jie-Jing Shao | Nanjing University | Machine Learning, Multi-view Learning |
jie-qiong Li | qingdao university | biomarker; alzheimer |
Jiebiao Wang | UNIVERSITY OF PITTSBURGH AT PITTSBURGH | precision health, statistics, machine learning, causal inference |
Jiebin Chu | Zhejiang University | Individualized treatment effect,Causal inference, Off-policy evaluation |
Jiehui Xu | New York University | post-GWAS |
Jiele Wu | National University of Singapore | clinical reasoning, multimodal data |
Jielei Chu | southwest jiaotong university | ai |
Jielong Yan | Tsinghua University | graph networks |
jieping Deng | Jinnan university | whole-genome association analysis,Alzheimer's disease |
Jieqiong Wang | University of Nebraska Medical Center | deep leaning, MCI prognosis |
Jierui Ren | Peking University | Novel view synthesis, Reconstruction |
Jierui Ren | Peking University | Reconstruction, View Synthesis, NeRF |
Jiewei Wu | Sun Yat-sen University / China | Alzheimer’s disease, Research |
Jifeng Xiao | Shenzhen United Imaging Research Institute of Innovative Medical Equipment | Brain MRI segmentation |
jigang liu | NANYANG TECHNOLOGICAL UNIVERSITY | Alzheimer's disease, fMRI |
Jiguo Cao | Simon Fraser University | brain network, QTL mapping |
Jiheum Park | Columbia University Medical Center | Alzheimer disease, Causal discovery, Deep learning, |
Jihnhee Yu | University at Buffalo, SUNY | DTI, feature selection, progress of disease, nonparametric Bayesian clustering |
jihoon jung | Convergence medicine AMC MI2RL | segmentation |
Jihoon Kwon | IUPUI | Trem2, gene therapy, Alzheimer Analysis |
Jihui Xue | XiaMen University | item response theory, cognition |
Jihwan Yun | samsung medical center | subcortical vascular cognitive impairment |
Jihyang Kim | Chuncheon Sacred Heart Hospital | mild cognitive impairment, Alzheimer's disease, cognition, brain function |
Jihye Oh | Korea university | Deep learning, Brain disease diagnosis, MCI, AD |
JiHyuk Jang | Hanyang University Erica | biodata |
Jihyun Bae | Gachon University | Test module, Alzheimer's disease(AD) |
Jihyun Byun | University of Johannesburg | Alzheimer's Disease, computer-aided diagnosis, deep learning |
Jijing Wang | Karolinska Institute | AD, CSF/serum albumin, neurodegenerative disease |
JiKai Wang | Zhejiang Sci-Tech University | Alzheimer’s disease classification |
Jill Chotiyanonta | AnatomyWorks, LLC | Brain MRI, Neuroanatomy, Segmentation |
Jillian Ross | Massachusetts Institute of Technology (MIT) | multimodal, robustness, early diagnosis, random forests |
Jim Gibbons | University of Limerick, Ireland | machine learning, semi supervised learning |
Jimin Hong | Seoul National University Hospital | unsupervised learning, Alzheimer's disease, imaging biomarker |
Jimin Li | Indiana University - Purdue University Indianapolis | pathology of alzheimer's disease |
Jimmy Hui | Genentech | DataScientist |
Jin A Lee | CHOSUN UNIVERSITY | deep learning, medical, segmentation |
Jin ao Yang | HFUT | functional |
Jin Beom Kim | Daegu University | Deep Learning, Anomaly Detection |
Jin Chen | Chengdu University of Information Technology | mikezhangpeng134150 |
Jin Chen | Chengdu University of Information Technology | mikezhangpeng134 |
Jin donghui | Beihang university | machine learning |
Jin Gu | Southwest Jiaotong University | dynamic functional connectivity analysis, deep learning, disease diagnosis |
JIN HAILIN | sejong university | Alzheimers Disease, segmentation |
Jin Hong | The Chinese University of Hong Kong | Classification; Deep learning; Alzheimer |
jin huang | wuhan textile university | medical image, deep learning |
Jin J | Kai-i | Dementia |
Jin Jiabao | University of Science and Technology of China | Cox regression、Functional principal component analysis |
Jin Li | Zhejiang University | neural networks multimodal methods |
Jin Li | The Second Affiliated Hospital of Harbin Medical University | BMP6; cognitive funcion; AD; MCI |
Jin Liu | University of Hong Kong | deep learning, CNN, MCI |
Jin Liu | Fudan University | Alzheimer's Disease; oral health |
Jin San Lee | Kyung Hee University Hospital | Alzheimer's disease; Vascular cognitive impairment; Frontotemporal dementia |
Jin Shengyu | hunan university | medical images,deep learning,Alzheimer's disease |
Jin tao Chen | Zhejiang University | cognitive impairment chronic pain |
Jin Xin | jrc | clinical trial,machine learning |
Jin Yang | Washington University in St.Louis | MRI, Deep learning, brain structures |
jin yang | Qufu Normal University | classification |
Jin Yu Jin Yu | Xianju County People's Hospital | AD |
Jin Yu Jin Yu | Xianju County People's Hospital | AD |
jin zhang | Hunan Normal University | alzheimer;frontotemporal dementia |
Jin zhibin | Shanghai Maritime University | AD MCI |
Jin Zhu | Sun Yat-Sen University | hippocampus, ball covariance, metric distribution function |
Jin-Ju Yang | Hanyang University | WMH, clustering, regional similarity |
Jin-Muk Lim | Alopax-Algo Co., Ltd. | MCI, AD, AD conversion, risk prediction algorithm, deep learning model |
Jin-Yeong Lim | Kangwon National University | Dementia, Cognitive decline, Sleep disorder |
jinal shah | parul university | IOT, Machine Learning |
jinbo zhang | Sun Yat-sen University | Functional Stability; Dynamic Functional Connectivity; mRNA expression |
jinChang Gong | vishee | research |
Jinchen Xie | Carnegie Mellon University | Machine Learning Prediction; Disease Progression Prediction. |
Jinchong Xu | Institute for Cell Engineering | cerebral metabolism, Alzheimer's disease |
Jindong Sun | Shandong University of Science and Technology | deep learning; medical imaging |
jinfeng wu | Qufu Normal University | AD;MRI |
Jing Chen | Peking university sixth hospital | functional MRI, cognitive impairment in PD |
Jing Cui | Centre hospitalier universitaire vaudois | The Human Brain Project |
Jing Cui | GSK | endophenotype GWAS, subtype AD |
jing Guo | neau | AD methylation |
Jing Guo | Renmin University of China | Quantile regression;Image ;ADNI;FPCA |
jing jiao | fudan | deep learning, classification |
jing lee | Beijing Tiantan Hospital, Capital Medical University | Alzheimer disease |
Jing Li | Xi'an jiaotong-Liverpool University | omics |
Jing Li | Peking University | isease diagnosis |
Jing Li | The Chinese University if Hong Kong | machine/ deep learning, brain age. neurodegenerative disease |
Jing Li | The Chinese University if Hong Kong | machine/ deep learning, brain age. neurodegenerative disease |
Jing Li | The First Affiliated Hospital of Jinan University | database, Clinical Data |
Jing Liu | Saint Petersburg State University | explainable artificial intelligence |
Jing Nie | shanghai mental health center | APOE,dementia |
Jing Qi | NanKai University | brain network;Alzheimer's disease |
Jing Qu | Jilin University | registration |
Jing Tu | The First Affiliated Hospital of Xi'an Medical University | Mild cognitive impairment, Iron deposition, Cortical thickness |
jing WANG | Shenzhen University | DL MRI |
Jing Wang | Hangzhou Normal University | cognition, fMRI, FDG-PET |
Jing Wei | Taiyuan University of Technology | Alzheimer's Disease, |
Jing Xia | Beihang University | prediction |
JING XIONG | Emory University | FSH, FSHR, APOE, LH, LHR,estrogen, AD |
Jing Xu | Xiamen University | multi-level prediction model of MCI |
Jing Xu | Xi`an Polytechnic University | Deep Learning |
Jing Yang | Chongqing Medical University | Alzhemier Cognition |
Jing Yang | Nanjing University of Aeronautics and Astronautics | Multi-modal brain network, disease diagnosis |
JING ZHANG | Harborview Medical Center, University of Washington School of Medicine | ADNI, CSF samples, AD, MCI |
Jing Zhang | Nanjing normal university | Imputation |
Jing Zhang | Beijing University of Posts and Telecommunications | research |
Jing Zhang | Nanjing Medical University, China | zdc11241128 |
Jing Zhang | zhejiang university | Alzheimer disease,cognitive impairment,plasma biomarker ,MRI,PET |
Jing Zhao | Beihang University | muiti-model fusion |
jing zhou | 西南石油大学 | image |
Jing Zhu | Tongji Zhejiang College | Alzheimer’s disease |
Jingan Qu | ccf | deep learning |
Jingchen Chai | University of Alberta | BMI Alzheimer’s diseases |
Jingchen Liang | Southern Methodist University | Alzheimer's |
JINGCHENG ZHOU | UNIVERSITY OF EDINBURGH | hierarchical graph neural networks |
Jingchun Chen | UNIVERSITY OF NEVADA LAS VEGAS | Alzhemier's disease, polygenic risk score, |
Jingcong Li | South China Normal University | machine learning |
Jingge Wang | Tsinghua University | application process |
Jinghan Huang | Shanghai Jiao Tong University | multi-model learning, AD |
Jinghan Ouyang | Tianjin University | Medical image analysis |
jinghua sun | dalian jiaotong university | GNN |
Jingjing Hu | The Affiliated Drum Tower Hospital of Nanjing University Medical School | MRI, classification, AD |
jingjing jiang | Changchun University of Technology | Biostatistics |
Jingjing Liang | Case Western Reserve University | neuroimaging traits genetic correlation network |
Jingjing Meng | University at Buffalo, SUNY | classification |
Jingjing Qian | Nanjing Forestry University | experimental studies |
Jingjing Tang | Southwestern University of Finance and Economics | multi-view learning, classification |
Jingjing Wang | Chinese Academy of Sciences | MCI classification |
Jingjing Xu | the Second Affiliated Hospital of Zhejiang University School of Medicine | hippocampus, Alzheimer’s disease |
Jingjing Yang | Emory University | Bayesian Method, TWAS, Polygenic risk score |
jingjing zhuge | ECUST | MRI; Data Analysis |
jingjuan Qiao | Tianjin University | For LRP learning |
Jingkai Wei | University of South Carolina | cognitive decline, dementia, antihypertensive medication |
Jingke Zhang | University of Tasmania | deep learning, Alzheimer's disease |
jinglin wu | tianjin university of finace and econmics | POCD;MRI |
jingling wang | Sichuan University | ct; mri; GAN; generation |
Jinglong Chen | Guangzhou First People's Hospital ,South China University of Technology | MCI,dementia,VBM, DTI, functional connectivity,DFPLC |
Jinglong Yang | Nankai University | image registration, deep learning |
Jingmao Li | Xiamen University | ,Block-wise Missing data,High dimensional data, Variable Selection |
Jingna Qiu | Friedrich-Alexander-Universität Erlangen-Nürnberg | cycleGAN, 3D extension |
Jingnan Du | Harvard University | Alzheimer's disease; normal aging; biomarker; cortical thickness; eTIV |
Jingqi Niu | Shanghai Jiaotong University | Medical Image , Transfer learning, Deep learning |
Jingqi Niu | Shanghai Jiaotong University | Medical Image , Transfer learning, Deep learning |
JINGQIN LUO | Washington University School of Medicine | bivariate correlation |
Jingru Fu | KTH | medical image registration |
jingru li | Beijing University of Posts and Telecommunications | graduation project |
Jingru Mu | Kansas State University | spatial; non/semi-parametric model |
Jingru Song | Beijing University Of Technology | EEG Alzheimer's disease |
Jingru Song | Beijing University Of Technology | EEG Alzheimer's disease |
JINGRU WANG | The first affiliated hospital of wenzhou medical university | Alzheimer's Disease,Small Vessel Disease |
Jingshuo Lv | Harbin Engineering University | ADNI |
Jingting Dai | Affiliated Hangzhou First People's Hospital, Zhejiang Univ School of Medicine | Alzheimer disease; apolipoprotein E; blood-brain barrier; biomarker |
Jingting Zhang | University of Glasgow | Multivariate, AD, fMRI, genes |
Jingtong Jin | Beihang University | Alzheimer's Disease, Deep Learning, 18F-FDG PET, DTI |
Jingwei Wang | Anhui University | wjw13460 |
Jingwen Guo | Macau University of Science and Technology | super-resolution,medical images |
Jingwen Lei | Durham University | machine learning |
Jingwen Yan | Indiana University | Multi-omics, systems biology, multi-evidence biomarkers |
Jingwen Zhang | Sun Yat-Sen University | research, random forest |
Jingxiang Wen | zhejiang university | Alzheimer disease,cognitive impairment,plasma biomarker ,MRI,PET |
Jingxuan Wang | UCSF | fMRI, preprocessing, resting-state functional connectivity |
jingyi chen | nanchanghangkonguniversity | MRI, brain segmentation |
Jingyi Chi | University of Pennsylvania | Deep Learning, GAN, MRI |
Jingyi MA | City University of Hong Kong | AD detection, Machine Learning, multimodal data |
Jingyi Shi | Mississippi State University | modeling, feature selection, predictive analysis, knowledge extraction |
jingyi yang | Hebei Medical University | deep learning |
Jingyu Guo | KTH Royal Institute of Technology | deep learning, MRI |
Jingyu LI | Wuhan University | medical image registration |
Jingyu Xue | Qilu University of Technology | deep learning network、resnet、SVM |
Jingyuan Tian | the second hospital of hebei medical university | fMRI, basal forebrain |
Jingyun Chen | NYU School of Medicine | PET, Tau, Abeta, normalization |
Jingze Zhang | Duke Kunshan University | Image processing, feature extraction, clustering and prediction |
Jinhao Duan | Drexel University | image-processing, data mining, deep learning, AD progression, early diagnosis |
Jinhao Wang | University of Michigan | Bayesian |
Jinhua Cai | Sun Yat-sen Memorial Hospital, Sun Yat-sen University | lipids, apolipoprotein, cognition |
Jinhua Sheng | Hangzhou Dianzi University | AD, MCI, HCPMMP, Machine Learning |
Jinhui Li | BOSTON UNIVERSITY | AD, genotype polymorphisms |
jinhui shi | Institute of Crop Sciences | Quantitative genetics |
Jinhyeong Bae | IUPUI | Deep learning, Alzheimer's disease, Alzheimer's disease genetic risk factors |
Jinjiang Wei | Wuhan University | Alzheimer disease, fluorodeoxyglucose, mild cognitive impairment, |
jinjiang wei | Wondersgroup | deep learning, AD |
Jinjiang Wei | Wuhan University | deep learning, Alzheimer, unsupervised |
jinjie chen | South China Agricultural University | 研究 |
Jinko Graham | Simon Fraser University | multivariate analysis, genotype-phenotype association, structural MRI, SNPs |
Jinkui Hao | Chinese Academy of Sciences, Ningbo, China | multimodal, diagnosis |
Jinlai Cai | Wenzhou Medical University | clinical characterization, neuroimaging, biomarker |
jinli ye | Yunnan University | Bayeian tensor regression method;Alzheimer’s disease;MRI |
jinlin tian | Northwestern Polytechnical University | Aizheimer's disease;imaging genomics |
Jinling Ji | University of Edinburgh | deep learning, brain health, interpretable |
Jinlong Hu | South China University of Technology | brain diseases diagnosis, machine learning algorithm |
JinMei Lai | The third affiliated hospital of Southern Medical University | MCI, AD, sleep disorder |
Jinmei Sun | The First Affiliated Hospital of Anhui Medical University | MRI; AD; MCI; PDSD; Autism |
Jinming Li | Shanghai Jiao Tong University | PET, medical image reconstruction |
Jinn-Yi Yeh | National Chiayi University | Brain MRI Images, Convolutional Neural Network, Deep Learning, Alzheimer's Disea |
jinpeng li | northeastern university | LJP981115qq |
jinqi han | Shandong First Medical University | AD prediction |
Jinqing Liang | NIH | functional connectivity networks associated with auditory language |
Jinqiu Yuan | Sun Yat-sen University | Longitudinal study, cognitive impairment, metabolomic biomarkers |
Jinrui Zhai | Beihang universuty | deep learning model, pet of the brain |
JinRui Zhang | Chongqing Emergency Medical Center | ALFF REHO |
Jinseok Eo | Yonsei University | Dynamic Causal Modeling, Effective connectivity |
Jinseong Jang | Yonsei University | Multi modality |
Jinshan Tang | George Mason University | Medical image analysis, deep learning, |
Jinshan Yang | USC | ADNI, cluster, machine learning |
jinshuang wang | Beihang University | PET segmentation |
jint wan | xidian | test |
Jintai Huang | University of Malaya | Alzheimer’s disease, Deep learning, CNN, MRI |
Jintang Bian | Sun Yat-sen University | Multi-Modal Biomarker, Alzheimer’s Disease, machine learning |
JinTao Zhu | Guangdong University of Technology | q670208398 |
Jinwang Feng | Northwestern Polytechnical University | Alzheimer's disease, Feature extraction, Classification |
Jinwei Lang | University of Science and Technology of China | AD ;fMRI ; dynamic network analysis |
Jinwei Liu | Chongqing Normal University | convolutional neural network, multimodal |
Jinwoo Cho | University of Pittsburgh | Dynamic Prediction, Landmarking, Joint Modelling |
Jinxia Guo | Wuhan Union Hospital | data processing training |
Jinxian Deng | MSU | AI, model |
Jinxin Chen | Chengdu University of TCM | alzheimer,sleep disorders,fMRI |
Jinxu Li | Zhejiang University | disease process / neural network |
Jinyan HUANG | Shanghai Jiao Tong University School of Medicine | Leukemia, Bioinformatics, Alzheimer |
jinyan zhang | China capital medical university | hippocampus volume, cognitive function |
Jinyang Chen | University of Georgia | Deep Learning, Machine Learning, Disease Diagnosis, Classification |
Jinyi Qi | UC Davis | amyloid PET, tau PET |
Jinyi Wu | Fudan University | MRI, Artificial intelligence |
Jinyi Xiang | Shanghai Jiao Tong University | Explainable AI, GAN, AD progression |
Jinyu Wen | Guangzhou University | Disease prediction,Alzheimer's disease |
Jinyuan Zhang | SCU | learning |
jinze wang | ncepu | medical image registration |
jinzhou bao | Beijing Normal University | research |
Jiong Chen | University of Pennsylvania | Network neural science, multiscale parcellation, functional connectome |
Jiong Wu | university of pennsylvania | cortical thickness estimation |
jiongli pan | Kunshan Duke University | PET |
Jiongqi Qu | University College London | Neuroimaging, Dementia, Deep Learning |
Jiou Wang | Johns Hopkins University Bloomberg School of Public Health | ALS/FTD |
Jirasak Buranathawornsom | Asian Institute of Technology | Deep Learning, MRI Analysis, Brain Analysis, Alzheimer's, Explainable AI |
Jirong Yi | Hologic | MRIs |
jirui li | Hangzhou Dianzi University | LJRljr1126 |
JiSeok Oh | Korea univ. | Flair, Machine learning |
Jisi Tang | Tsinghua University | Geometric deep learning, differential geometry |
Jismi K A | College of Engineering Trivandrum | Alzheimer's Disease, mild cognitive impairment, Cognitive impairment |
JISNA F | UNIVERSITY OF KERALA | Convolutional Neural Network |
Jisoo Kim | Brigham and Women's Hospital | Brain MRI, age-matched normal, atypical parkinsonism |
Jisu Park | Hannam University | Alzheimer's disease, MRI |
jitao li | LYU | medical image processing |
Jitendra Salunkhe | Student | Image identification and classification |
Jitesh Joshi | Tata Elxsi Ltd | DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection |
Jithendranath C | none | Mri-images,transfer learning,dense nets |
Jithu James | Middlesex University | machine learning, dementia, analysis, predict |
Jiu Chen | Nanjing Medical University | AD, aMCI, DTI, sMRI, fMRI |
jiu J | wuhan university | transformer, graph learning, multi-modal feature learning |
Jiwon Kim | Soongsil University | AI, unsupervised learning, multiomics |
JIXIN LUAN | Shandong First Medical University | Alzheimer's disease |
Jixin Wang | Uiversity of Dundee | MRI, Dementia, CNN, Deep Learning |
Jixuan Li | The Second Affiliated Hospital of Zhejiang University | Ljx181420 |
Jiyang Dong | Xiamen University | Metabolomics |
Jiyang Jiang | University of New South Wales | fixel-based analyses, fibre density, fibre cross-section |
Jiyeon Lim | Ajou University | early diagnosis models |
Jiyeon Yang | Hanyang University | Autism |
JIYONG HAN | KOREA | Deeplearng; Gan; Classification |
Jiyoon Shin | Seoul National University | imputation, mri |
Jiyoung Byun | KAIST | Alzheimer's disease |
Jiyoung Kang | Pukyong National University | computational neuroscience, brain model, brain dynamics, machine learning |
Jiyuan Fang | Eli Lilly | variance, prediction |
Jiyun Cheng | Hill School | Hill School |
Jiyun Kim | Ajou University | 3MV74 |
jizhao liu | Nanjing University | privacy-preserving |
JK Wang | ZSTU | classification |
Joan Amos | University of Electronic Science and Technology | AD, rs-fMRI |
Joan Cue Montes de Oca | University of Nevada, Las Vegas | AD, Machine Learning, AI, Neuroimaging, Sequencing Data |
Joan Maria Arenas Gomez | Neurobiology Research Unit | BrainAGE |
Joan Prats | I3M Institute of Detectors for Molecular Image | deep learning, neural network, PET, MRi |
Joana Braga Pereira | Karolinska Institute | CSF, MRI |
Joana Cabral | University of Minho | fMRI |
Joana Fonseca | FEUP | ML |
Joana Pinto | University of Oxford | ASL, CBF |
Joanna Haralampieva | Imperial College London | Brain Imaging, Machine Learning, Neurodegenerative Diseases |
Joanna Haralampieva | University College London | MRI, DTI, connectone, white matter hyyperintensities, lesions, cognition |
JOANNA JAMES | Kolachalama Lab | MRI data |
Joanne Beer | University of Pennsylvania Perelman School of Medicine | imaging, multi-scanner |
Joanne Conover | University of Connecticut | Aging, Alzheimer's disease, MRI, FLAIR-MRI |
Joanne Robertson | The Florey Institute of Neuroscience and Mental Health | Alzheimer, amyloid, neurodegeneration, biomarker, genetics, dementia |
João Alves | Universidade do Minho | AD; MCI; Machine Learning; study grant. |
João Araújo | University of Cambridge | Kaggle, Genentech competition |
João Araújo | University of Cambridge | Kaggle, Genentech competition |
Joao Bastos | Universidade do Minho | machine learning, plasma, neuroimaging |
João Mendo Gatta | Institute for Research and Innovation in Health (i3s) | focal cortical dysplasias, epilepsy, brain morphometry, deep learning |
Joao Parracho | Universidade Federal do Rio de Janeiro | lossless compression, Image-to-Image translation |
João Pedro Ferrari Souza | Universidade Federal do Rio Grande do Sul (UFRGS) | Alzheimer's disease; neuroimaging biomarkers; fluid biomarkers; cognition; |
João Santinha | Champalimaud foundation | brain anomaly detection |
João Victor Aquino Correia | UFC - Federal University of Ceará - Quixadá Campus | Alzheimer's machine learning research |
Joaquín Justel | Universitat Politecnica de Catalunya | statistics, thesis, Master of science |
Jocelyn Zhu | Stony Brook University | MCI, longitudinal, MRI |
Jodi Edwards | University of Ottawa Heart Institute | aging, atrial fibrillation, dementia, blood biomarkers, blood brain barrier |
Jodi Watt | University of Nottingham | ASL, PET, MRI, ADAS-Cog, ADNI |
Jodie Gawryluk | University of Victoria | white matter, MRI, DTI, cognition |
Jodie Lord | Kings College London | mediation, endophenotypes, metabolites, regularization |
Joe Brian Malubay | The City College of New York | alzheimers; neural network; machine learning; |
Joe Gwatsvaira | University of Limerick | Functional data, MFPCA |
Joe Luquette | Harvard Medical School | clonal hematopoiesis, Alzheimer’s disease, Dementia |
Joe Strong | University of Wisconsin | Health disparities, Social determinants of health |
Joel Aftreth | Bernstein Center for Computational Neuroscience Berlin | convolutional neural network |
Joel Eppig | SDSU/UCSD Joint Doctoral Program in Clinical Psychology | MCI, Latent Variable Modeling |
Joel Kunjachan Varghese | NextGenPro | data science |
Joel Lee | VA Medical Center | aging, PET, MRI, anterior cingulate cortex(ACC), cognitive normal |
Joel Schaerer | Bioclinica | imaging, mri, pet |
Joel Stein | University of Pennsylvania | Resolution, Volumetry |
Joelle Bagautdinova | University of Pennsylvania | neuroimaging |
Joey Albrecht | USC Keck School of Medicine | inflammation, pathology, conversion |
Joey Contreras | USC Keck School of Medicine | Inflammation, conversion, APOEcarrier |
joey zhao | Nanjing University of Science and Technology | functional data analysis |
Jogeshwar Mukherjee | University of California-Irvine | MRI, DTI, PET |
Johan Largo | Universidad Nacional de Colombia | dataset, mild cognitive impairment, alzheimer, pipeline |
Johann de Jong | UCB | patient stratification, disease progression |
Johannes Kiechle | Technical University Munich (TUM) | Deep Learning, Computer Vision, Artificial Intelligence |
Johannes Lohmöller | RWTH Aachen University | cohort discovery; privacy-preserving image analytics |
Johannes van Esch | Halmstad University | DLB NN Deep Learning Lewy Body dementia |
Johannes Weickenmeier | University of Michigan | simulation, computer model, brain reconstruction, modeling neurodegeneration |
Johémie Boucher | Université de Montréal | neuropsychology of aging; alzheimer's disease; clinical research |
John Absher | University of South Carolina Greenville | TBI exosome AD morphometry |
John Anderson | Carleton University | multishell, NODDI, aging, cognitive reserve |
John Aston | University of Cambridge | Functional Data Analysis; Geometric Analysis; Genetic Analysis |
John Best | University of British Columbia | forecasting, TADPOLE, regression-based prediction |
John Cannon | Boston University | Alzheimer's disease, Correlated data, Statistical methods |
John Choe | OPKO | MCI |
John Corradi | Arvinas, Inc. | CSF, biomarkers, proteostasis |
John Farrell | Boston University Medical School | whole_genome_sequencing genetics imputation structural_variants |
John Fletcher | University of Bath | AD ML Interpretable |
John Hoffman | University of Utah | FDG-PET, SPM group analysis |
john hsiao | NIA | imlc |
John Jacoby | Mass General Hospital | PET MRI MPRAGE Amyloid |
John John | National Institute of Mental Health and Neurosciences | risk factors, pathological ageing, alzheimer's disease, cognition,neuroimaging, |
John Ju | Hill School | Hill School |
John Kauwe | Brigham Young University | mitochondrial copy number, Alzhiemer's disease, genetics |
John Kwok | University of Sydney | white matter integrity |
John Lee | Washington University in Saint Louis | machine learning |
John Lee | UC Berkeley | Alzheimer's, Neuroimaging |
John Lewis | University of Manitoba | deep learning, convolutional neural networks, alzheimer's |
John Liao | Sichuan University | Biomedical Engineering;Machine Learning |
John Lin | USC Viterbi BME | Distributed computing, neural network, neuroimaging |
John Ma | University of Sydney | machine learning |
John Mayer | Norfolk State University | RF classification, RFregression, Alzheimer's |
John Mayfield | USF Health | Quantum, Machine Learning |
John Melchior | Pacific Northwest National Laboratory | Apolipoprotein E, Brain lipoproteins, Alzheimer's disease |
John Ogbonoko | Federal University of Lafia, Nasarawa State, Nigeria | Dementia, Alzheimer, Prediction |
John Okunola | University of Salford, Manchester | Unsupervised learning, Dementia, AIBL lifestyle Data |
John Ollinger | Walter Reed National Military Medical Center | PTSD, FDG, PET, Asymmetry |
John Paek | Crowe | Valuation |
John Richards | University of South Carolina | MRI template |
John Ringman | Keck School of Medicine at USC | full Neuropsychiatric Inventory, NPI, cross-sectional, late-onset AD, biomarkers |
John Robinson | U of Pennsylvania | TDP-43; Lewy pathology; amyloid angiopathy |
John Sahaya Rani Alex | Vellore Institute of Technology | Alzheimer's |
John Templeton | Florida International University | Machine Learning |
John Varghese George | Arizona State University | TetCNN, ADNI |
John Williams | University of Birmingham | Machine Learning, Epistasis, Ontology, Precision Medicine |
John-Paul Yu | University of Wisconsin-Madison | Radiomics, AD, Alzheimer's disease, machine learning |
Johnathan Kaiser | FYR Diagnostics | Biomarkers, Diagnostics, miRNAs |
Johnny Vishnevskiy | Rutgers University | Deep Learning, Neural Network, Alzheimer's detection |
Johnson Durai Raj P | Dr Sivanthi Aditanar College of Engineering | AD, fMRI analysis, Classification |
Johnsy Joy | Sathyabhama | Deep Learning |
Jolan Nasser | tel aviv university | indicators |
jolan nassir | tel aviv university | biomarkers |
Joleen Wong | Singapore Institute of Technology | DTI, MPRAGE, White Matter Changes, Cognitive function, ACE-III, MRI, VBM, FA |
Jolien Schaeverbeke | KU Leuven | AV1451, BIN1 |
Joliz Anton | Anna University | Classification, Alzheimer's disease |
jomol payyapilly jonny | national college | data analytics |
Jon Ander Gómez Adrián | Universitat Politècnica de València | Deep Learning; Semantic segmentation of medical images; Predictive models; |
Jon B Toledo | Houston Methodist Hospital | CSF, pathology, PET, pre-dementia, MCI, Alzheimer, Dementia with Lewy bodies |
Jon Ma | NYU | ML, RNN, Computer Vission, Image Classification, GMIC, Genetic/Genomic, longitud |
Jon Middleton | University of Copenhagen | bayesian hierarchical volumetric |
jona sifi | university of saskatchewan | Brain-ANN-CNN-Neural-Neural Networks |
Jonadab dos Santos Silva | Universidade Federal Fluminense | structural MRI, genomics, neurodegeneration |
Jonah Amponsah | University of Kansas Medical Center | ADNI |
Jonah Kohn | Reed College | Machine learning, visualization, neuroscience. |
Jonah Sherbansky | Weill Cornell | CSF, amyloid, lymphatics, glymphatic system |
Jonas Folke | Bispebjerg Hospital, University Hospital of Copenhagen | Alzheimer's disease, B cells, Immunological memory |
Jonas Krah | Hasso Plattner Institute at University of Potsdam | Deep Learning, Classification, Efficiency |
Jonas Richiardi | Lausanne University Hospital | cognitive score, machine learning, integrative analysis |
Jonas Rieling | University of Göttingen | Differential Privacy, Synthetic Data, Patient Simulation |
JONATAN REYES | CONCORDIA UNIVERSITY | Federated Learning, Non-IID distributions |
Jonathan Bartlett | University of Bath | multiple imputation; missing data |
Jonathan Brouillette | Hopital du Sacre-Coeur de Montreal | Retinoic acid, Alzheimer's disease, Single-nucleotide polymorphisms |
Jonathan Drake | Alpert Medicial School of Brown University | VCAM-1, vascular risk factors |
Jonathan Dyke | Weill Cornell Medicine | cortical thickness |
Jonathan Elkin | University of Oxford | Machine Learning, Longitudinal, Multimodal |
Jonathan Fan | St. Michael's Hospital | Alzheimer's Disease, Psychosis, Hippocampus, Inflammation, Hippocampal Volume |
Jonathan Fisher | New York Medical College | volumetric, visualization, alzheimer's, data visualization |
Jonathan Gant | University of Florida | topological data analysis, machine learning |
Jonathan Hasbani | ITBA | Neural networks, machine learning, Alzhei |
Jonathan Herrera | Massachusetts Institute of Technology | Alzheimer's Disease, dementia, epigenomics, machine learning, classification |
Jonathan Hess | SUNY Upstate Medical University | Mega-analysis, gene expression, classifiers, machine learning |
Jonathan Holden | MarketFinance | Kaggle |
Jonathan Hsia | Georgia Tech | Machine Learning, disease propagation modeling, electronic health records |
Jonathan Lee | Cal Poly | CV |
Jonathan Levenson | Tiaki Therapeutics | Alzheimer's disease, neuroinflammation, genetically-enabled, SNPs, biomarkers |
Jonathan Marx | International Academy Okma | Alzheimer's, correlation coefficient, rate of degradation |
Jonathan Palumbo | National Institute of Health | Gate Speed |
Jonathan Reshef | Auckland University | VoxResNet |
Jonathan Rodean | Stanford University | shingles, herpes zoster, cognitive function, infectious theory |
Jonathan Rosand | Massachusetts General Hospital | GWAS, genetics, APOE |
Jonathan Ross | The University of Queensland | classificaiton, vision transformer |
Jonathan Victor | Weill Cornell Medical College | image statistics |
Jonathan Vogelgsang | University Medical Center Goettingen | Plasma, Abeta, Neurofilament light chain |
Jonathan Wagg | AC Immune | models prediction time to onset MCI AD |
Jonathan Walsh | Unlearn.AI | machine learning, statistics, data science |
Jong Bin Bae | Seoul National University Bundang Hospital | Alzheimer's disease, MRI, biomarker |
jong chan Yeom | BitComputer | VAGAN ADNI |
Jong Ho Jhee | Ajou University | Multi-modal data analysis, Graph representation learning |
Jong Hun Kim | Samsung medical center | GWAS, biomarker, prediction |
Jong Hyun Kim | Korea University Guro Hospital | biomarker, machine learning |
Jong Sung Park | Indiana University, Bloomington | Skull_stripping, Brain_extraction |
Jong Un Kim | korea university | DTI |
Jong-Hwan Lee | Korea University | PET; structural MRI; functional MRI; statistics; machine learning |
Jong-Il Park | Jeonbuk National University Medical School | Depresion, Dementia |
Jonghun Jeong | Deepnoid | alzheimer, PET, deep-learning |
Jonghun kim | hanyang university | Brain |
Jonghun Kim | Sungkyunkwan University | Structural MRI, Alzheimer's disease Classification, Self-supervised learning |
Jonghun Lee | Takeda pharmaceuticals | Patient stratification, Drug discovery, biomarker analysis |
JongHyun Jang | ETRI | Mr |
Jongmin Park | Pusan National University | epigenetic clock |
Jongsoo Lee | neurophet corporation | ? |
Jongsoo Lee | neurophet | brain |
Jongsun Jung | Syntekabio | deep learning, hilbert, patient stratification, biomarker |
Jongyoon Kim | Inha University | autophagy-related gene & AD |
jonnatan arias | universidad tecnologica de pereira | ad, machine learning |
joo an lee | HANKUK UNIVERSITY OF FOREIGN STUDIES | Alzheimer's,major in university bioinformatics,vcf files |
Joo-won Kim | Baylor College of Medicine | Habenula |
Joohon Sung | Seoul National University | stroke; metabolomics; neuroimaging; omics |
Joohyuk Park | The Hill School | Hill School |
Joon Hyung Jung | Seoul National University Hospital | Amyloid |
joonhyeok yoon | Seoul national university | DeepLearning, ImageProcessing, Classificatiojn |
Joost Riphagen | Maasticht University | SNAP, tau, WMH,MCI, cortical thickness, hippocampal volume |
Jooyeon Lee | Seoul National University | Polygenic risk score, Risk prediction |
Jooyeon Park | KAIST | fMRI, Brain functional network |
Jord Garcia-Ojalvo | Universitat Pompeu Fabra | Brain dynamics, relaxation dynamics, potential landscapes. |
Jordan Angus | Brooklyn College | machine learning, neural networks, analysis |
Jordan Barbone | West Chester University | Independent, personal use |
Jordan Barbone | Cogstate | AD, CBB, Staging |
Jordan Behn | Northwestern University | PPA |
Jordan Bilderbeek | University of Chicago | MRI, neuroimaging |
Jordan Chamberlain | The Pennsylvania State University | ADNI3 advanced diffusion, Siemens Advanced Prisma VE11C |
Jordan Lasker | University of Minnesota | subcortical, intelligence, network, mediation, structural, functional |
Jordan Poppenk | Queen's University | hippocampus, disease classification, risk factors |
Jordan Schotz | University of Central Florida | Survey |
Jordan Schultz | University of Iowa | autonomic nervous system, medications |
Jordan Wagner | SUNY Oswego | Class |
Jordana Kasaato | Boston University / Niji CORP | Early detection od Alzheimers |
Jordana Kasaato | Boston University | Alzheimer's |
Jordi Abante Llenas | Universitat de Barcelona | deep learning; graoh neural networks; genome-wide association studies; epistasis |
Jordi Gual | Universitat Oberta de Catalunya | MRI, PTI, Super-resolution, GAN |
Jordi Male Carbonell | La Salle - Ramon Llull University | Machine Learning, Computer Vision, Medical Diagnosis |
JORDI MATIAS-GUIU | HOSPITAL CLINICO SAN CARLOS | Alzheimer's disease; PET |
Jordi Pegueroles | Memory Unit Sant Pau | Neuroimaging, Preclinical AD |
Jordi Torres | UPC Barcelona Tech & Barcelona Supercomputing Center | Supercomputing, Deep Reinforcement Learning, Artificial Intelligence |
Jordy TASSERIE | University of Health Network | neuromodulation |
Jordyn Cowan | Brandeis University | COMT, DRD2, cortical thickness, Alzheimer's |
Jorge Aguilar | District University Francisco Jose de Caldas | Machine Learning Alzheimer disease |
Jorge Bengoa | Universidad Politécnica de Madrid | Ai, modelling |
Jorge Cabrera | Universidad Politecnica Salesiana | Alzheimer, network convolutional, prediction |
Jorge Estévez | Consellería de Educación | Alzheimer's disease, Autism spectrum, Machine learning |
Jorge Garcia Condado | IIS Biocruces Bizkaia | deep learning, clustering, neuroimaging, patient characterisation |
Jorge Iglesias-Fuster | Cuban Center for Neurosciences | progression models, MRI, nation-wide study, Alzheimer, aging |
Jorge Menjivar | University of California | Dementia, Alzheimer, brain, deep learning |
Jorge Perez | Universidad Nacional Autonoma de Mexico | machine learning, alzheimer |
Jorge Pulido López | UNED | autoencoders, ELM |
Jorge Rivera | Universidad Tecnológica de Pereira | Deep learning, AD |
Jorge Samper Gonzalez | Brain and Spine Institute (ICM) | alzheimer's disease, machine learning, classification, multiple kernel learning |
Jorge Sanchez | California State University Los Angeles | Artificial Neuron Networks |
José Alejandro Garnica López | Universidad de Monterrey | Alzheimer, MCI, Machine Learning, T2 weighted images |
Jose Angelo Perucho | University of Alabama, Birmingham | Machine learning; deep learning; MCI to AD conversion |
Jose Antonio Lojo Ramírez | University Hospital Virgen del Rocío, Seville | AD, FDG, PET |
Jose Aravena | Yale university | psychosocial; education; biomarkers; APOE-e4 |
José Bastos | Universidade de Aveiro | CNN, DL, Classification |
Jose Bernal | The University of Edinburgh | Atrophy, Longitudinal |
Jose Bras | UCL, Institute of Neurology | Neurogranin, neurofilament light, biomarker, genetics |
Jose Bruno | Federal University of São Carlos | Alzheimer; Cnn; Deeplearning; Transformer; MCI, AD; |
José Carlos García | Universtitat Oberta de Catalunya | brain anomalies, automatic segmentaion, automatic lesion detection |
Jose Chang Irias | Halmstad University | Convolutional nueral networks, Lewy body dementia, dementia detection |
Jose David Diaz Roman | Universidad Autonoma de Ciudad Juarez | Deep learning, transfer learning, Alzheimer classification, |
Jose Gutierrez | Columbia University | arterial diameters, beta amyloid, tau |
Jose Heredia | University Of Granada | Deep Learning, Convolutional Neural Network |
Jose Joaquin Casado Garrido | Georgia Institute of Technology | MRI imaging; Alzheimer's Disease |
Jose L. Cantero | Pablo de Olavide University | sleep2019 |
Jose Luis Royo | University of Malaga | GWAS, Pathway analysis, Age at onset |
Jose Luis Solorio | National Polytechnic Institute | Classifier, Artificial Intelligence, computing, neural desease |
Jose Manuel Saborit Torres | UMIB-FISABIO | AI, Dataset, reproducibility |
Jose Maria Benitez-Salazar | Houston Methodist | biomarkers, alzheimer´s disease, neuropathology, neuroimaging |
Jose Maria Castillo-Secilla | University of Córdoba | AD, Alzheimer, Deep Learning, GPU |
jose miguel de la casa | deloitte | machine learning , neuronal network cnn |
Jose Miguel Sanchez Bornot | University of Ulster | MRI, PET, MCI, Alzheimer's disease, machine learning |
José Neto | UFPE | Deep learning |
Jose Ortiz | CalPoly Pomona | tau, ml, machine learning, artificial intelligence, deep learning |
Jose Pineda | University of Vic (Barcelona) | ADNI, Machine learning, tractography, markers, aducamumab, |
Jose Ramos | O2G Ventures dBA Kin-Keepers.com | AI/ML for AD |
Jose Rodriguez Alvarez | Universidad Autonoma de Barcelona | miRNAs, plasma |
Jose Tamez-Pena | Tecnologico de Monterrey | MCI to AD conversion, Patient Profile Analysis, LCTA |
Jose Tascon | University of Copenhagen | registration, inter-patient |
jose vargas | University | tesis |
Jose Vicente Sánchez-Mut | Institute of Neuroscience | SNPs, RNA, QTLs |
Josef Holownia | The University of Queensland | Perceiver Transformer, Classification |
Joseph Austerweil | University of Wisconsin - Madison | Sequencing Biomarkers, Machine learning, individual differences |
Joseph Boktor | California Institute of Technology | microbes, WGS |
Joseph Boldrey | Iowa State University | TMS, Neuromodulation, Magnetics |
Joseph Campagna | Temple University | dementia, cancer, brain age, glioblastoma, genomics, neuroscience |
Joseph Dagher | The MITRE Corporation | T1w, MRI, identification, biometrics |
Joseph Eichenbaum | University of California, San Francisco | data BHR |
joseph eissa | aaa | brain pet |
Joseph Geraci | Queen's University | gene expression, disease progression |
Joseph Giorgio | University of Cambridge | Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models |
Joseph Graves | North Carolina Agricultural and Technical State Unviersity | Multimodality, Block Missing Data, Precision matrix estimation, GLASSO, DISCOM |
Joseph Grieco | Wake Forest School of Medicine | MRI Brain Alzheimer |
Joseph Grochowalski | New York University | psychometrics; change scores |
Joseph Gullett | University of Florida | Deep Learning, Neural Networks, Neurocognitive Function |
Joseph Heenan | IQVIA | bayesian methods, machine learning |
Joseph Junior Asante | University of Arkansas at Little Rock | Diagnosis of Alzheimer's disease |
Joseph Kambeitz | University of Cologne | machine learning, neurocognition, prediction, outcome |
Joseph Mastrianni | Ordinal | Summary, Descriptive, Biomarkers |
JOSEPH NNODIM | Sheffield Hallam University | Prediction, Machine Learning models |
Joseph Park | Massachusetts General Hospital/Harvard Medical School | Machine Learning, MRI, RNAseq, Predict pattern |
Joseph Petrulli | Invicro | tau, av-1451 |
Joseph Reddy | Mayo Clinic | genetics, polygenic scores |
JOSEPH SAENZ | UNIVERSITY OF SOUTHERN CALIFORNIA | DEMOGRAPHICS, CLINICAL, BIOLOGICAL, MRI |
Joseph Seemiller | Geisinger Medical Center | tau, functional connectivity |
Joseph Shea | SJRA | Dementia |
Joseph Shi | USYD | alzheimer; classification, biomarker prediction |
Joseph Stember | Memorial Sloan Kettering Cancer Center | Artificial Intelligence, sequence classification |
Joseph Therriault | McGill Center for Studies in Aging | Amyloid-PET, regional vulnerability, ROC Curve |
Joseph Weibel | FHNW | student project, data science |
Joseph Whaley Aboaf | Cornell University | prediction, convexity, mixtures of markers |
Joseph Yu | National Sun Yat-sen University | deeplearning |
Josephine Cruzat | Universitat Pompeu Fabra | Alzheimer; timescale; whole-brain modeling |
Josephine Ngegwe | Trinity College Dublin | ADNI database |
Josh Cosman | Abbvie Inc. | Cognition, Modeling, Longitudinal Change |
Josh Kaminker | Genentech | clinical trial |
Josh King-Robson | King's College Hospital | MRI |
Josh McGeown | Matai Medical Research Institute | neuroplasticity, intervention, dementia, Alzheimer's disease, translation |
Joshua Alfred | VIT Chennai | machine learning |
Joshua Bis | University of Washington | Alzheimer's disease, sequencing, ADSP |
Joshua Blake | LMU University Munich | Alzheimer Prediction, Alzheimer Detection |
Joshua Bridge | University of Liverpool | AI, Deep learning |
Joshua Chuah | Rensselaer Polytechnic Institute | statistics, proteomics, metabolomics, machine learning |
Joshua Garcia | University of Houston | Cognitive Aging, Psychometrics |
Joshua Grill | UC Irvine | informant |
Joshua Harris-Theophile | J D H Tech Ltd | Dementia Alzheimer's |
Joshua Kogan | Vanderbilt University Medical Center | hepatic encephalopathy |
Joshua Kogan | Vanderbilt University Medical Center | hepatic encephalopathy |
Joshua Liu | University of Southern California | Alzheimer's, pollution |
Joshua Liu | University of Macau | ML |
Joshua Lukemire | Emory University | ICA Longitudinal multisite |
Joshua Mineroff | Domino Data Lab | N/A |
Joshua Noronha | Fr.Conceicao Rodrigues College of Engineering | CNN, Neural Networks, Alzheimer's Detection |
Joshua Owens | University of Florida | Cognition, Bayesian |
Joshua Pasaye | Northwestern University | PET, SuperAger, Florbetaben, Flortaucipir |
Joshua Payne | High School Student @ Glenforest SS (I don't have a BA, had to choose an option) | Deep Learning, Neural Architecture Search, PET Scans |
Joshua Peters | The University of Queensland | Machine Learning, Saliency method |
Joshua Teso | Stanford/VA | ADNI |
Jossyr Rafael Pinto Caddevila | Universidad Pontificia Bolivariana | Alzheimer's Disease Neuroimaging Initiative |
Josue Avecillas | UCLA | PTSD DBS RNS |
Josue Luiz Dalboni da Rocha | Univeristy of Geneva | DTI, freesurfer, parahippocampal gyrus, AD, MCI |
Jothi R | VIT Chennai, Tamilnadu, India | Alzheimer’s disease |
jou-chi Wang | tcu | deep learning |
Joverlyn Gaudillo | University of the Philippines Los Baños | machine learning, longitudinal clinical data |
Jovina Dekson | Anna University | Medical image classification, Alzheimer’s disease |
Jovita Lasrado | Vivekananda College of Engineering & Technology,Puttur | SVM,PCA |
jowing zhu | Southern Medical University | image registration |
Joy Choi | University of Rochester Medical Center | Heart failure, cognition, Alzheimer's |
JOY DHAR | INDIAN INSTITUTE OF TECHNOLOGY, ROPAR | CONVOLUTION NEURAL NETWORK, GENERATIVE ADVERSARIAL NETWORK |
joy mercilla | loyola academy alwal | major project |
Joy Sebastian Prakash Joseph Irudayaraj | Chettinad Academy of Research and Education | fMRI, DTI, Conn, DSIStudio |
Joy Stradford | University of Southern California | Gender Imaging Genetics Project |
Joyce Ruifen Chong | National University of Singapore | Dementia, Blood biomarkers, ratio |
Joyita Dutta | UMass Lowell / MGH | Data science, machine learning |
JOYSON J | Bluebinaries | Prediction, neural network |
JR JIA | Hebei University of Technology | biomarker 、DE、WGCNA、Machine Learning |
JR 王 | Xuzhou Medical University | 617324 |
Ju Hee Kang | Inha University | A-beta42, tau, phospho-tau |
Ju Hyeon No | Chosun UNIV. | AI, AD research |
Juan A. Arias | University of Santiago de Compostela | Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning |
Juan Aguirre | Universidad Nacional de Colombia | U-NET, deep-learning, brain |
JUAN ANTONIO CASTRO SILVA | UNIVERSIDAD DE SALAMANCA | medical image analysis, alzheimer's disease |
Juan Camilo Cano Londoño | Universidad de Antioquia | DTI, FREE WATER, MRI |
Juan Cano | Uniandes | Machine learning, Diagnoses |
juan carlos arbelaez | Universidad Pontificia Bolivariana | Dementia,clinical symptoms, neuropsycological tests, neuroimaging |
Juan Chen | The First Medical Center of PLA General Hospital | image |
Juan Chen | East China Normal University | Alzheimer's disease, causal inference, imaging data. |
Juan D. Gispert | Fundació Pasqual Maragall | Partial Volume Correction, |
Juan Du | Xiamen University | AD progression biomarker, GNN |
Juan Escobar | UNIR Universidad Internacional de la Rioja | Master Degree, TFM, Neural Network to Diagnose Desease Alzheimer |
Juan Esteban Cardona | Universidad de Antioquia | Alzheimer,Datasets,volumetric,study |
Juan Eugenio Iglesias | Massachusetts General Hospital | ethnoracial biases |
JUAN JOSE DO OLMO OTERO | University Complutense Madrid (UCM) | deep learning, dementia, mri, segmentation, detection, classification |
Juan Luis Fernández Martínez | University Of Oviedo | machine learning, compressed sensing, AD |
Juan Manuel García Varilla | MicroWebServices, SL | alzheimer, early diagnose, machine learning, pattern detection, PET, imaging |
Juan Manuel Gorriz | University of Granada | Image processing, Random forest |
Juan Manuel Valencia Echeverry | National University of Colombia | hippocampus, segmentation, U-Net, Atlas |
Juan Mariño | Universidad Manuela Beltran | Alzheimer, imágenes, comparación, deterioro. |
Juan Matias Di Martino | Duke University | TMS, landmark detection, morphable models |
Juan Pablo Gómez González | Qubiotech Health Intelligence S.L. | Segmentation, Quantification |
Juan Pablo Montesano | Antel | machine learning, neural network |
Juan Ruiz | Nottingham Trent University | convolution networks |
Juan Ruiz | Universidad de Málaga | Machine learning MRI MS |
Juan Ruiz de Miras | University of Jaén | thickness; giryfication index; fractal dimension |
Juan Sebastián Bravo Santacruz | Pontificia Universidad Javeriana | MRI, EMCI, early, detection, deep learning, Neuroimaging , image processing, |
Juan Zhou | Duke-NUS Graduate Medical School Singapore | alzheimer, mild cognitive impairment, converter, non-converter, MRI, network |
Juan Zou | shenzhen institute of advanced technology | MRI recontruction |
Juanjuan Jiang | University | MPMRI,PET,Image processing |
Juanjuan Wang | Zhengzhou University | Deep learning; Brain image segmentation; U-net |
juanjuan wu | Fuzhou University | academic research |
Juannan Zhou | University of Florida | genetic interaction; epistatic hotspot; machine learning; |
Jude Baroudi | University of Pittsburgh | Alzheimer’s, Neuroimaging, Artificial Intelligence, Medicine |
Judes Poirier | McGill University | Genetic, Protective Factors, Conversion |
Judith Harrison | Newcastle University | Diffusion MRI Harmonisation Mega-analysis |
Judith Lobo | University of Miami | Aging, Cognition, Superager, Brain Connectivity |
JUDY CHANG | Chang Gung memorial hospital | AI |
Judy Gichoya | Emory University | biologic age |
Judy Pa | USC | alzheimer's disease, advanced statistical models |
Juelin Zhu | Hunan University | Investigation |
jueqi wang | St. Francis Xavier University | skull-stripping segmentation |
Juergen Dukart | Hoffmann-La Roche | PET MRI biomarkers diagnostic models |
Juexin Zhang | Artificial Intelligence and Operation, The Universit of Nottingham | Generative Adversarial Networks, Deep Learning |
Juha Koikkalainen | VTT Technical Research Centre of Finland | spatial normalization |
Juhan Reimand | VU University Medical Center, Amsterdam UMC | amyloid, alzheimer, autopsy, PET, CSF |
juhi desai | In-Med Prognostics | volumetric |
Juhi Desai | University of Wisconsin | AI approach |
Juhi Jain | Cognizant | machine-learning |
Juho Joutsa | University of Turku | Teaching |
Juhong Nam | Seoul National University | deep learning |
Julia Boudreau | University of Southern California | image data upload |
Julia Christy | Newcastle University | neuroscince |
Julia Cohen-Gilbert | McLean Hospital/Harvard Medical School | MRI, PET, data fusion, Alzheimer's disease |
Julia Estelle Perrine | Middlesex University | Brain mri analysis, alzeihmer, Artificial intelligence |
Julia Gachot | TheraPanacea | Deep Learning, SUVr generation |
Julia Kim | University of California, Berkeley | amyloid beta protein, alzheimer's disease |
Julia Lu | California University of Science and Medicine | Alzheimer's |
Júlia Martins | UFCSPA | Alzheimer, Convolutional Neural Networks |
Julia Neitzel | Erasmus MC | Resistance/resilience in AD, lifestyle, APOE, preclinical dementia |
julia pons | Upf | researcj |
Julia Reinhardt | University Hospital Basel | textur analysis; MRI; |
Julia Schubert | King's College London | cerebrospinal fluid, lateral ventricles |
Julia Scott | Santa Clara University | machine learning, classification |
Julia Simon | USC Keck School of Medicine | T1w, controls, AD, brain aging |
Julia TCW | Boston University | ADSP xQTL |
Julia Tsymbal | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institu | CNN |
Julia Varea | Universidad de Zaragoza | investigation university |
Julia Wolleb | University of Basel | anomaly detection |
Julian Caspers | University Hospital Düsseldorf | predictive modeling, machine-learning, domain-adaptation |
Julian Chung | Nanyang Technological University | Machine Learning |
Julian Furios | Universidad Nacional de San Martin | Alzheimer's disease; Functional Connectivity |
Julian Gonzalez | escuela colombiana de ingenieria julio garavito | alzheimer, machine learning |
julian jimenez | university of Madrid | alzheimer project |
Julian Mae Solis | University of Santo Tomas | Alzheimer's disease, multistate markov model, family history, education |
Julian McGinis | Technical University of Munich, Germany | machine learning, deep learning, neural |
Julian Schön | University of Copenhagen | GAN, VAE, Deep Learning, Medical image analysis |
Juliana Ison | Massachusetts General Hospital | ADNI3; Minority; Participant Engagement, Recruitment, and Enrollment |
Juliana N Souza-Talarico | The University of Iowa | allostatic load, cognitive decline, stress, longitudinal |
Juliana Nery Souza-Talarico | University of Iowa | Allostatic load, amyloid burden, cognitive decline |
Juliane Müller | Otto-von-Guericke-Universität Magdeburg | research platform, image-derived hypotheses generation, visual analytics |
Julie Dumas | University of Vermont | tau, csf, hippocampus, biomarkers, MCI |
julie julie | 重庆邮电大学 | null |
Julie Novakova Martinkova | Second Faculty of Medicine, Charles University | AD, sex differences, cerebrovascular risk, white matter hyperintensities, DTI |
Julie Oomens | Maastricht University | proteomics, resilience |
Julie Ottoy | Sunnybrook Research Institute | diffusion MRI, functional MRI, PET, alzheimer, cerebrovascular disease |
Julie Rutten | Leiden University Medical Center | CADASIL, NOTCH3 |
Julie Sara Benny | IIIT Kottayam | Resting state fMRI, graph theory,Alzheimer's disease |
Julie Saugstad | Oregon Health & Science University | MicroRNA, Biomarkers, ApoE4, Extracellular Vesicles, Sex Differences |
Julie Wisch | WUSTL | PET, Machine Learning |
Julien Bradfer | Halmstad University | deep learning |
Julien Dumurgier | Lariboisiere Fernand Widal Hospital | APOE, AD, CSF biomarkers |
Julien Dumurgier | Université de Paris | CSF biomarkers ; cut-offs |
Julien Zanin | University of Melbourne | Hearing, vision, diffusion MRI |
Julien ZO'OBO BISSE | ENSET | alzheimer's |
Juliet Polok Sarkar | University of Debrecen | Medical Image Processing Deep Learning |
Juliette van Alphen | Amsterdam UMC, location VUmc | DLB, comorbid AD, repeated measures, CSF, control group |
Julio A Peraza | Florida International University | machine-learning, deep-learning, Alzheimer's disease |
Julio Oliva | FIU | image classification, convolutional neural network |
Jun Ho Lee | National Center for Mental Health | medication use, brain health, PET, MRI |
Jun Ho Moon | Pukyong National University | Alzheimer's disease, dementia, imaging biomarker, structural features |
Jun Kai Yeong | NUS | LATE, AD |
Jun Lai | CQUPT | brain analysis |
Jun Li | Zhejiang Lab | fmri data |
Jun Ling Han | TianJing Medical University school | integrated learning,Intelligent diagnosis,deep learning |
Jun Liu | Dalian medical University | liu15871725690 |
Jun Lu | University of Illinois at Chicago | Trial Design |
Jun Luo | Novo Nordisk | Biomarker, Omics, ADNI |
Jun ri Tang | Northeastern University | deep learning |
Jun Shen | Zhongnan Hospital, Wuhan University | AD, MCI, Brain volume, Brain Connectivity |
jun shu | Fudan university | Mild behavioral impairment (MBI), graph theory, rs-fMRI |
Jun Song | University of North Carolina at Charlotte | Functional dimension reduction |
Jun Suk Moon | Gwangju Institute of Science and Technology | MRI |
Jun Wang | Daping Hospital, Third Military Medical University | Alzheimer's disease, biomarker, anti-hypertension medications, antidiabetics |
Jun Wu | Jiangsu Provincial Center for Disease Control and Prevention | Chinese medicine;Alzheimer's Disease |
Jun Xiao | peking university | MRI images, machine learning, classification, early detection |
Jun Yang | Shenzhen Institutes of Advanced Technology | Alzheimer disease; Magnetic Resonance Imaging; Deep learning; |
Jun Yu | Lehigh University | Multi-modality Analysis |
Jun Yup Kim | Veterans Health Service Medical Center | FDG-PET, thalamic stroke |
Jun Zhang | Duke University | AD diagnosis and prognosis |
Jun Zhou | Institute of High Performance Computing | Continual Learning, Multimodal |
Jun-Ding Zhu | NYMU | AD, MCI |
Jun-En Ding | National Yang Ming Chiao Tung University | ADNI |
Jun-Gong Wang | Chaoyang University of Science and Technology | Ai,Machine learning |
Juna Goo | Boise State University | DTI longitudinal dataset, fiber trajectory change |
Junbao Hou | Heilongjiang University of Chinese Medicine | dynamic functional connectivity |
Junbeom Kwon | Seoul National University | Unsupervised anomaly detection, 3-dimensional structural MRI |
Junbo Ma | University of North Carolina at Chapel Hill | Multimodality fusion; Graph Neural Networks; |
junchao chen | Beijing University of Astronautics | cjc20011224 |
Junchao Qian | Nanjing University of Science and Technology | Multimodal federated learning |
Junchao Yang | Fujian University of Traditional Chinese Medicine | MCI,AD |
Junchu Huang | Bytedance | medical-imaging-datasets |
Junesuh Kang | Deepnoid | ADNI PET 18f-FFB |
Junfeng Liu | 东北电力大学 | 1 |
JUNG HEE HA | Stanford university | dementia, BPSD, fMRI, Depression |
Jung Hyun Kim | University of Luxembourg | Cognitive Aging, Bayesian |
JUNG JAE WOO | hansung university | Alzheimer |
Jung-Hsin Lin | Academia Sinica | image analysis, image recognition, deep learning |
Jung-Min Pyun | Uijeongbu Eulji Medical Center, Eulji University School of Medicine | polygenic risk score, white matter hyperintensity, amyloidopathy, tauopathy |
Jung-Ying Tzeng | North Carolina State University | multivariate-phenotype association test |
Junge Li | Florida State University | Tensor discriminant analysis, MRI |
JUNGHOON KIM | Purdue University | fMRI, VAE, Deep learning |
junghwa kang | Hankuk university of foreign studies | alzheimer disease |
Junghwan Choi | . | . |
Jungmin Ryu | Sungkyunkwan University | machine learning |
JUNGMOON HYUN | Northwestern University- Feinberg School of Medicine | Aging, dementia, brain, clinical data |
Jungo Miyazaki | Kyocera Corp. | deep generative model, hierarchical bayesian modeling |
JungPil Park | Clupea | deeplearning, machinelearning |
Jungsoo Gim | Chosun University | Late-onset Alzheimer's disease, Ethnic difference, Genomic prediction model |
Jungsun Lee | Asan Medical Center | tractography connectivity |
Jungwon Choi | KAIST | sMRI, Classification, Breain disease |
Junhao WEN | University of Pennsylvania | Deep learning, neuroimaging |
Junhao Wu | Shanghai Huashan Hospital | Alzheimer's disease |
Junhee Kim | Korea Advanced Institute of Science and Technology | Alzheimer's disease, Cerebrospinal fluid pulsation, CSF clearance |
Junhong Yu | The University of Hong Kong | medial temporal lobe; fornix; memory; cross-lagged |
Junhong Yu | National University of Singapore | Connectome-based predictive modeling; RAVLT; Trail Making Test |
Junhong Yu | Nanyang Technological University | brain-age; multimodal |
Junhua Li | University of Essex | Classification |
Junhua Ye | Yunnan University | Image segmentation |
Junhyeok Lee | Hankuk University of Foreign Studies | spatial transcriptomics, alzheimer disease |
JunHyeok Son | Inetllicode | AI model for automatic classification of cognitive impairment using Korean voice |
Junhyoun Sung Junhyoun Sung | University of Washington | Structural MRI, Atrophy Pattern, Alzheimer's Disease, Non-negative Matrix Factor |
JunHyuk Woo | Seoul National University | Alzheimer, deep learning |
Junichi Chikazoe | National Institute for Physiological Sciences | fMRI, MVPA |
JUNILL HUH | Biomedical Engineering, Yonsei University, Korea | Deep learning, classification |
junjiang Wu | 福建师范大学 | ADNI;AIBL |
junjiang Wu | Fujian Normal University | ADNI;AD |
Junjie Chen | Temple University | computational methods, integrative analysis, casual factors |
Junjie He | Guizhou University | MRI, Deep Learning, Neurodegeneration. |
JUNJIE HUANG | University of Edinburgh | 576420262Hjj. |
JUNJIE LI | QILU INSTITUTE OF TECHNOLOGY | OCT, Alzheimer's disease, deep learning |
Junjie Liang | Pennsylvania State University | generative model; density estimation; counterfactual analysis |
Junjie Shao | College of Life Scienc | miRNA, chololestrol homostasis |
Junjie Shen | Soochow University | deep learning |
junjie wang | Nanjing Medical Unverisity | multi-modal; deep learning |
Junjie Yang | Xian Jiaotong University | image processing |
Junjie Zeng | Nanchang University | none |
Junjie Zhao | University of North Carolina at Chapel Hill | Surface reconstruction, MRI |
junjie zheng | The Affiliated Drum Tower Hospital of Nanjing University Medical School, | deep learning |
Junjie Zhuo | Hainan University | alzheimer's disease; mild cognitive impairment; MRI; PET |
Junjun Wang | Zhejiang Hospital | multi-modality, dementia, mechanism |
junjun wang | HDU | Based on the deep image segmentation neural network, the background, brain regio |
Junlei Zhang | Beijing University Of Chinese Medicine | master's student clinical medical AD |
Junlei Zhang | Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital | cognitive impairment; dementia; alzheimer`s disease |
Junlong Cheng | Sichuan University | dataset |
Junming Jian | Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sc | Multiple Instance Convolutional Neural Network |
junnna sun | Jiangnan University | sjnhbb123 |
Junpei Suzuki | Juntendo university | Create your own database that is easy to use for AI research |
Junpeng Li | Huashan hospital affiliated to fudan university | 123456 |
Junpeng Li | Yanshan University | tensor; machine learning |
Junpil Won | konkuk university | Ankrd37 |
Junpyo Kim | Indiana University | Imaging genetics, multi-omics, prediction model, network analysis |
junqi li | Shenyang University of Technology | Alzheimer’s disease |
JunShen Huang | Yunnan University | statistical model |
Junsik CHOI | Korea Univ. | Deep learning |
Junsik Eom | MathWorks | Deep Learning, AI |
Juntao Su | George Washington University | Deep learning; Explanation; Statistical Analysis |
juntao Zhang | University of Nottingham | CNN, Transformer |
Junting Zheng | MSKCC | machine learning, survival |
Junxia Wang | Shandong Normal University | Segmentation of the hippocampus |
Junya Mu | xian jiaotong university | end-stage renal disease with AD |
Junyan Lyu | The University of Queensland | Self-supervised Learning, Hippocampus Segmentation |
Junyan Wang | Zhejiang Lab | dMRI, large-scale fiber tract analysis |
Junyi Qiu | Fudan University | medical image analysis |
junyi zhang | The Fifth People's Hospital | MCI mild cognitive impairment |
Junyong Hong | korea institute of radiological and medical sciences | AD, AI, Deep learning, GAN |
JunYoung Sohn | Korea University | ADNI, PET, Amyloid, Tau, AD |
Junyu Qu | Unaffiliated | medical image analysis |
junyu wang | lanzhou university | Alzheimer's disease, conversion, diagnosis, ADNI cohort, mild cognitive impairm |
Junyue Ge | University of Gothenburg | Biomarker, neurodegenerative disease |
Junzhao Liang | South China University of Technology | Starwars123 |
Juran Guo | University of Southampton | dementia, Alzheimer's disease |
Jurg Ott | Rockefeller University | Case-control data; genetic association |
Jurgen Fripp | CSIRO | MRI, PET, Neuropsych, Genomics |
Jurgen Fripp | CSIRO | MRI, PET, Neuropsych, Genomics |
Jurgen Germann | Toronto Western Hospital | habenula |
Juri Minxha | Columbia University | memory, decision-making |
Jurrien Boogert | Tilburg University | Health, neuro, deep learning, data science, alzheimer, disorder, predict |
Justin Barber | University of Kentucky | neuropsych testing, education, amyloid, wmh |
Justin Bardwell | University of Western Australia | Predicting conversion CNN |
Justin Broce | University of Florida | Transfer Learning, deep learning |
Justin Cawood | Charles Sturt University | Alzheimer's, Likelihood-ratio, MRR |
Justin Ideozu | AbbVie | DNA, RNA, GENETICS, GENOMICS, ALZHEIMERS |
Justin Jiang | Harvey Mudd College | graph learning, machine learning, multi-modality |
Justin Klee | Amylyx | alzheimer's |
Justin Leach | University of Alabama at Birmingham | spike-and-slab lasso, spatial statistics |
Justin liu | Guilin university of electronic technology | Alzheimer's disease,feature selection |
Justin liu | Guilin university of electronic technology | Alzheimer's disease,feature selection |
Justin Miller | University of Kentucky | subtype, ramp sequence, Alzheimer's disease |
Justin Miron | Douglas Mental Health University Institute | Genetics; inflammation; Tau phosphorylation; Alzheimer's disease |
Justin Park | University of Calgary | data variability |
Justin Remer | University of California San Francisco | brain anatomy, pulsatile tinnitus |
Juuso Korhonen | Aalto-university | deep learning, classification, MRI-analysis |
Juweiriya Ahmed | Western University | Psychosis, AD |
juyeon choi | kbri | database, web, analysis |
JYOTHIRMAYI TAYI | Gitam University | alzheimers disease classification |
Jyoti Islam | Georgia State University | fMRI, Alzheimer’s Disease, Deep learning, CNN |
jyoti maheshwari | IIT Delhi | prediction, diagnosis |
Jyoti Mankar | K K Wagh Institute of Engineering Education and Research, Nashik | Multiview Clustering, Machine learning |
Jyoti Rai | Sikkim manipal institute of technology (SMIT)) | MRI brain dataset, Super resolution, deep learning |
JYOTI YADAV | Netaji Subhas University of Technology | Alzheimer's Detection,Machine learning |
Jyotismita Talukdar | Assam Down Town University | MRI, Classification, Supervised learning |
j建林 张 | Institution | machine learning,fuzzy logic |
K Aditya Shastry | NMIT | Alzheimer's data |
K M V SREEKRISHNA | VELLORE INSTITUTE OF TECHNOLOGY | ALZHEIMER'S DISEASE, CNN ALGORITHM, DEEP LEARNING, COMPUTER VISION. |
K MR | NJUPT | Magnetic Resonance Imaging; Feature Extraction |
k sai kumar | NATIONAL COLLEGE OF IRELAND | LSTM , SVM, |
K.Emily Esther Rani | Anna University | rs-fMRI, Alzhemer Disease |
KA FUNG YIU | CUHK | Alzheimer’s disease |
Ka Ying Lo | Chinese University Of Hong Kong | VBM CAT12 |
Kaan Sakmak | Yıldız Teknik University | Alzheimer disease, Master study, Themistocles |
Kacie Bauer | Claremont Graduate University | factor analysis |
Kacie Deters | UCSD | alzheimer's; cognition; biomarkers |
Kacper Perz | Gdansk University of Technology | MRI, diffusion maps, image analysis |
Kaden McKeen | University Health Network | Multi-site harmonization, Diffusion model |
kadri rahma | Isims university of sfax tunisia | early prediction of alzheimer’s disease progression |
KAFUI EFIO-AKOLLY | WUHAN UNIVERSITY | medical images , time-series datasets, Artificial Intelligence |
kai chen | Xijing University | medical image analysis |
Kai CHi Chang | National Yunlin University of Science and Technology | reserch CNN |
Kai Fu | Northwest A&F University | machine learning |
Kai Gao | SEfe | AD, MCI |
Kai Hei Fong | University of Hong Kong | Alzheimer's, morphometry |
Kai Hulme | University of Bristol | machine learning, deep learning, generative deep learning, computer vision |
Kai kang | The Chinese University of Hong Kong | longitudinal data |
Kai Li | Tianjin University | model training |
Kai Liang | Univeristy College London | Alzheimer's Biomarker |
Kai Liu | Clemson University | pattern, prediction, feature seletion |
Kai Ma | Nanjing University of Aeronautics and Astronautics | MCI AD |
kai ma | Tencent | AI |
Kai Qi | Xian Jiaotong University | Disease trajectories Prediction; State-space model; Neural CDE model |
Kai Wang | University of Iowa | neuroimaging, genetics, association, gene, pathway, multiple traits |
Kai Wang | Wuhan University | Early AD Diagnosis, Graph Metric Learning, Cross Attention Metric Network, |
Kai Wu | Zhengzhou Yunmingsu Information Technology Co Ltd | Alzheimer's disease progression prediction |
Kai Xia | UNC Chapel Hill | network genetics AD diagnosis |
Kai Xu | Beijing Normal University | network classification MCI |
Kai Xuan | University of North Carolina at Chapel Hill | Magnetic Resonace Imaing; Deep Learning |
kai zhang | Dalian University | fMRI |
Kai Zhang | Lehigh University | federated learning, medical imaging. |
Kai Zhang | Lehigh University | federated learning, medical imaging. |
Kai Zhao | xijing hospital | alzheimer |
Kai-Hei Tse | The Hong Kong Polytechnic University | white matter, genetics, cogntive decline |
Kai-Hsiang Chuang | University of Queensland | glymphatic system |
Kai-Ze Zhu | NCTU | stat |
Kaichen Tang | University of Texas Health center at Houston | Machine learning, weak supervision, rule |
Kaicong Sun | University of Stuttgart | Classification of AD |
Kaicong Sun | ShanghaiTech university | Diagnosis and Predication of AD |
Kaidi Kang | Vanderbilt University | Disease progression model; |
Kaidong Wu | Eindhoven University of Technology | deep learning, graph neural network, graph theory, neuroimaging, multimodal |
Kaihan Huang | Scau | AD |
kailai liu | Harbin Medical University | radiogenomics |
Kailani Pardon | University of Wisconsin Madison | Neuroimaging, MRI, PET, Deep Learning, AI |
Kailei Hu | shanxi university of science and technology | fMRI EEG MEG Depression detection emotional analysis |
Kaileigh Bunting | Cognitive Neuroscience of Schizophrenia Lab | fMRI, MRI, CPCA, BOLD, |
Kailin Qin | Beijing Institute of Technology | @@f7r1e1eenter@@ |
Kainan Liu | University of Pennsylvania | Machine Learning school homework |
Kainat Abbasi | Habib University | 3DCNN, Adam(), SGD() |
Kainat Abdullah | National Textile University | Alzheimer's disease , AD |
Kaini Qiao | Shanghai Mental Health Center | Neurodegenerative disease |
kainsp praveen | nitk | Multi-modal classification, transformers, healthcare, attention mechanism |
kaiping zheng | National University of Singapore | Deep learning, disease progression modelling, Alzheimer's Disease |
KaiQiang Zou | Guangdong University of Education | Helmertz syndrome,Interpretability model |
Kaiqin Hu | Xi'an Jiaotong University | Maching Learning |
Kais Kasmi | Esprit | alzheimer |
Kaisar Kushibar | UdG | structure segmentation |
Kaiting MAI | The university of Hong Kong | Alzheimer's disease, fMRI |
Kaitlin Koncilja | Rush University Medical Center | n/a |
Kaitlin McManus | McLean Hospital | fMRI, PET, connectivity |
Kaitlin McManus | University of California, Los Angeles (UCLA) (SSO) | Alcohol, Dementia |
Kaitlin McOwen | Texas A&M University | DTI, CSF, AD, WM |
Kaitlin Stouffer | Johns Hopkins University | biomarkers, amygdala, volume change |
Kaitlyn Dybing | IU School of Medicine | TBI, AD, neuroimaging |
Kaitlynn Cooper | Carnegie Mellon University | Segmentation, Classification |
Kaito Takabayashi | Juntendo University / Japan | Alzheimer, ATPP, AnatomiCuts |
kaiwei wang | 河北工业大学 | MCI FMRI ResNet AD |
Kaiwen Wang | Southern Medical University | association analysis |
Kaixin Dou | Affiliated hospital of Qingdao University | AD; risk models; predictors |
Kaixin Dou | Affiliated hospital of Qingdao University | AD; risk models; predictors |
Kaixin Dou | Affiliated hospital of Qingdao University | AD; risk models; predictors |
Kaixin Dou | Affiliated hospital of Qingdao University | Alzheimer's disease; GWAS; biomarker |
Kaixin Shen | Zhejiang University | study, research |
kaixin xu | Beijing Institute of Technology | AI Big data |
Kaixuan Yao | Shanxi University | image processing |
Kaiyi Jin | Karolinska Institutet | Brian age, MRI, Deep Learning |
Kaizhou Lei | Florida State University | mediation analysis, AD, causal effect |
Kajenthini Kobivasan | Fachhochschule Nordwestschweiz | medical image classification |
Kajsa Kvist | Novo Nordisk AS | RCT, glp1, MCI, dementia, amyloyd |
Kalani Prabodha | University of Peradeniya | CT brain alzheimer |
Kalash Jain | Rathinam College Of Arts And Science | NIL |
Kalayanee Chairat | King Mongkut's University of Technology Thonburi | GWAS |
Kalpana Tata (Kallianpur) | Kamehameha Schools and University of Hawaii | volumetric hippocampus Alzheimer's |
Kalpathi Subramanian | The University of North Carolina at Charlotte | biomarker, MRI, PET, Genomic, MCI |
KALUNGI JOSHUA | MAKERERE UNIVERSITY | Explainable AI Alzheimer's disease Machine learning Privacy preservation |
Kalvin Huang | NYU Grossman School of Medicine | white matter hyperintensities, biomarker, cognitive decline |
Kalwane Werake | University of Aberdeen | Dynamic Functional Connectivity, Deep Learning, CRNN |
Kalyan Acharjya | Maharishi University of Information Technology | Segmentation, Feature Extraction |
Kalyan Chakrabarti | Krea University | Numerical modeling, feedback mechanism |
Kalyan Kumar Paladugula | University of Illinois at Chicago | Alzheimers, Deep Learning |
Kalyani Gunda | KL University | EARLY ALZHEIMER'S DETECTION |
Kamalaker Dadi | INRIA | fMRI |
Kamalaker Dadi | International Institute of Information Technology Hyderabad | Brain imaging, Genetics, Cognitive phenotypes |
Kamil Borkowski | UC Davis | Bile Acids |
Kamil Grajski | Nurosci, LLC | Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP |
Kamil Kural | George Mason University | Genentech, 404, Imputation, Clinical Data |
Kamila Lepkova | Czech Technical University | alzheimer, SUVR |
Kamile Stankeviciute | University of Cambridge | Graphs, Graph convolutional networks, Spectral classification |
Kamilia Zaripova(Mullakaeva) | TUM | Deep Learning |
Kamran Ahmed | Daffodil International University | AD detection |
Kamryn Bendolph | Birmingham Southern College | Machine Learning, Alzheimers |
Kamryn Cullen | George Mason University | Biomarkers, Data Analytics, Health Factors |
Kamyar Moradi | Tehran University of Medical Sciences | Mild Cognitive Impairment; MRI; PET scan |
Kan Li | Merck & Co. | longitudinal, survival, prediction, imaging, personal medicine |
Kan Yu | University of Bristol | Alzehimer, multi-modality |
kan zhang | The First Affiliated Hospital, Zhejiang University School of Medicine | dementia;mild cognitive impairment;PET;CSF;cognitive assessment |
Kana Kimura | University of Wisconsin - Milwaukee | Alzheimer's dementia aging MRI |
Kanagaraj S | Kumaraguru College of TEchnology | Deep Learning CNN |
Kanan Wahengbam | North Eastern Regional Institute of Science and Technology | Computer Vision, medical image, multi modality |
Kandula Niravange | Centurion university | Machine learning |
Kang Hohyun | Sungkyunkwan University | Psychology, Statistics, Alzheimer's Disease |
kang jian | The First Affiliated Hospital of Dalian Medical University | tangxiaojian1860 |
kang li | Zhengzhou University | medical AI research,GCN |
KANG SHAN | Brunel University London | MRI, Artificial Intelligence, image processing |
Kang Shuo Lee | National Tsing Hua University(Taiwan) | TBSS, AD, MCI, deep learning |
Kang Wang | Digital medical research center | Segmentation, Artificial Intelligence, Medical image processing |
kang weibo | Chinese Academy of Sciences | machine learning |
Kang Wenjie | Beijing University of Technology | AD,MRI,deep learning |
kang yukyum | Korea University | MCI fMRI data |
kang zhang | ShanXi University | ResNet,Label Noise |
Kangfu Han | Southern Medical University | Alzheimer’s disease |
Kangjoo Lee | Yale University | fMRI, connectivity |
Kanglee Steve | Xinjiang University | x18983826747 |
KANGRUI DU | University of Electronic Science and Technology of China | diagnosis, prognosis |
kanhao zhao | Lehigh university | 7758258 |
Kanika Sandal | Indian Council of Medical Research | MRI, fMRI |
kanish chugh | Dr. APJ abdul kalam technical university | deep learning |
Kanishka Mishra | Symbiosis Institute of Technology | AI/ML, Bio-Inspired Algorithm |
Kaniska Samanta | Techno India University | Deep learning, Convolutional neural network, MRI, Alzheimer's disease |
Kannie WY Chan | City University of Hong Kong; The Johns Hopkins University School of Medicine | MRI, AD, deep learning |
Kao Changyu | Chongqing Normal University | gzy991016 |
Kaori Ito | USC | neural networks |
kaoutar Skiker | Home | graphs, algorithms, paths |
Kaouther Mouheb | University of Burgundy | clustering, unsupervised learning, mathelatical morphology |
Kapil Chaudhary | Albert Einstein Medical College of Medicine | ROIs, Seed, Striatum, Frontal Cortex |
Kapil Chaudhary | Penn State University | dwi, networks, connectome, cognition |
Kara Bahmani | Sharif University of Technology | Alzheimer |
Kara Garcia | Indiana University School of Medicine | surface registration, longitudinal, cortex, shrinkage, biomechanics |
Kara Tan | General Assembly | Data Science Project |
karabi Konar | JISIASR | Deep learning,image processing |
Karan Jeswani | Indian Institute of Science | Deep Learning, Generative Adversarial Network |
Karanvir Sidana | Birla Institute of technology and sciences | ftygy |
Kareen Hoffmann | University Hospital Magdeburg | vascular dementia, small vessel disease, T2*-weighted MRI, fdg pet |
Karen Crawford | USC | That |
Karen El Akoury | Holy spirit university of kaslik | Alzheimer,EEG,Music Treatment |
Karen Mate | University of Newcastle | anticholinergic, polypharmacy, pharmacogenomics |
Karen Obispo | UTP | Alzheimer |
Karen Otte | Charité University Medicine Berlin | Data anonymization, data synthetization |
Karen Wells | Student | Alzheimer’s Disease Neuroimaging Initiative Teaching dataset |
Karianne Tesaker | University of Bergen | Imaging Genetics, Deep Learning |
Karin Meeker | Saint Louis University | intraindividual variability, functional networks, anticorrelations |
Karin Shmueli | UCL | Machine Learning, QSM, MRI-based screening |
Karina Dorfman | Monash University | Mild cognitive impairment, Dementia |
Karina Karapetian | Kyungpook National University | karikara95 |
Karina Kopp | University of Würzburg | longitudinal,cross-sectional,analysis,brain-mri |
Karina Yang | USC Laboratory of Neuroimaging | survival analysis, DNN, GNN, LSTM |
Karine Provost | University of California San Francisco | Tau-PET, AV1451, CSF Tau, CSF p-Tau |
Karl Cini | University of Malta | imputation, missing data, data science |
Karl Frontzek | University Hospital Zurich, University of Zurich | alzheimer's, epigenetic, methylation, nanopore |
Karl Landheer | Regeneron Pharmaceuticals, Inc | microbleeds, CAA, MRI |
Karl McPhee | Macalester College | Alzheimer's |
Karl Potratz | University clinic Magdeburg | Blood Pressure, cognitive decline, Alzheimer Disease |
Karla Fernanda Cáceres Alvarado | Tecnologico de Monterrey | ML, Data science, classification |
Karla Jonguitud | Instituto Nacional de Neurologia y Neurocirugia | Kurtosis Diffusion |
Karly Cody | University of Wisconsin - Madison | Biomarkers |
Karma Fathalla | Arab Academy for Science and Technology | Dementia, Alzheimer, Machine learning, deep learning |
Karol Kiciński | Wroclaw University of Science and Technology | Alzheimer, early detection, system |
Karol Plaza | Universidad Autonoma de Manizales | Deep Learning, Artificial Intelligence, Convolutional Neural Networks |
Karolina Armonaite | Uninettuno University | Deep learning, deep neural networks, transfer learning |
Karolina Finc | Nicolaus Copernicus University in Toruń | fMRI, denoising, functional connectivity |
Karolina Wilczyńska | Politechnika Bydgoska | limbic system; decay of brain structure |
karrar zahid | university technology malaysia | CNN, Medical image processing |
Karre Kamal | NIIT University | Alzheimers |
KARTHICK NATARAJAN | karolinska | FAD, Metabolomics |
Karthick S | Anna University | Deep Learning Approach |
Karthik Prakash Sundaramoorthy | Novartis | Novartis |
Karthik Srinivasan | University of Arizona | blockwise, analytics, machine learning |
karthikeyan selvarasu | central university of Tamil Nadu | kinesin |
Kartik Shenmar | Manipal University Jaipur | Neural networks, degenerative disease, brain computer interface, mri |
Kartik Sumrani | Manipal University (MUJ) Jaipur | Classifier, Neurological Disorder Detection, Fuzzy |
Kartikey Mishra | PES University | Image processing |
karunakar pothuganti | Electrogenics | Alzheimer’s disease, Machine learning, RCNN, Fast RCNN, Faster RCNN. |
Karunanithi Rajamanickam | Chettinad Academy of Research and Education | cognition, gene analysis, point mutation |
Kasey Corripio | University of Central Florida | Alzheimer's Disease, Digital Cognitive Biomarkers, biomarkers, cognitive decline |
Kasey Luo | Stanford University | deep learning, alzheimers, mri |
Kashamshetty Kailash | SASTRA UNIVERSITY | blood proteomic data, mini project |
Kashif Junaid | UET texila | CNN, VGG-16, Deep learning, Machine learning |
KASHMIRA M S | NSS COLLEGE OF ENGINEERING PALAKKAD | FMRI DATA |
Kashvi Swami | Shri Govindram Seksaria Institute of Technology and Science | Image Processing, Deep learning Model, Stratification of the brain images |
Kasidit Tipayawatn | King Mongkut's Institute of Technology Ladkrabang | Deep Learning, Alzheimer |
Kaspar Märtens | University of Oxford | statistical methodology, multi-view learning |
Kassymzhomart Kunanbayev | KAIST | Alzheimer disease, deep learning |
Kasun Herath | The Open University of Sri Lanka | Alzheimer’s disease, Dementia, Machine learning, Magnetic resonance imaging (MRI |
Katarina Fatur | FHNW University of Applied Sciences and Arts Northwestern Switzerland | brain health, Alzheimer disease, machine learning, XAI |
Katarina Trojacanec | Faculty of Computer Science and Engineering | Multiple query image retrieval, medical images, early fusion, later fusion |
Katarzyna Góźdź | Lodz Univeristy of Technology | bachelor degree, Alzheimer, analysis, EEG |
Kate Onuska | University of Western Ontario | Alzheimer's Disease, Aging, PET, Neuroinflammation, CSF |
Kate Wofford | University of Pennsylvania | Statistical coursework, training, Traumatic brain injury |
Katelyn McKenzie | University of Kansas Medical Center | agreement, diagnostic tests, biomarkers, methods |
Katharina Buck | Roche Diagnostics | Elecsys CSF Measurements |
Katharina Wegner | neuefische | convolutional neural network, alzheimer detection |
Katherine Bangen | University of California, San Diego | vascular risk, cerebral blood flow, amyloid |
Katherine Cording | UC Berkeley | teaching, student outreach, mentoring |
Katherine Duncan | University of Toronto | Acetylcholine, Dopamine, Norepinephrine, Memory, Cognition |
Katherine Gray | Imperial College London | Alzheimer's disease; early diagnosis |
Katherine Hicks | Hill School | Hill School |
Katherine Houghton | RTI Health Solutions | biomarker, natural history, cost effectiveness |
Katherine Koenig | The Cleveland Clinic | TREM2, Alzheimer's Disease, diffusion tensor imaging, white matter |
Katherine Krawiec | MIM Software | Tauvid, FDG, Amyvid, MRI |
Katherine Liu | Columbia University | Alzheimer's Disease |
Katherine Murray | 1997 | environmental factors health dementia |
Katherine Peterka | Georgia Institute | Alpha-synuclein, class project |
Katherine Tian | Harvard Univerisity | Report Generation, AI, ML, Language Model |
Kathleen Hupfeld | University of Florida | DWI, aging |
Kathryn Barrett | The University of South Carolina | Extra Credit |
Kathryn Janiuk | Boston University | Machine Learning, MatLab, AlexNet, MRI |
Kathy Fan | Stanford | visualization, CNN, interpretability |
Kathy Liu | University College London | noradrenaline, locus coeruleus, agitation |
Katia Maria Poloni | Universidade Estadual de São Carlos | Alzheimer's disease, measure |
Katie Chan | City University of Hong Kong | Molecular epidemiology and bioinformatics |
Katie Lunnon | University of Exeter | Alzheimer's disease, epigenetics, DNA methylation, genomics, microarray, pathway |
Katja Franke | Jena University Hospital | MRI; BrainAGE; VBM |
Katona Melinda | University of Szeged | brain extraction, deep learning |
Katrina Delizo | CCJ | machine learning, 123 |
Katrina Evtimova | NYU | neuroimaging analysis |
Katrina Muller-Townsend | Murdoch University | cognitive decline |
Katrine Andersen | Institute of Clinical Medicine | PET, Asymmetry, Subtypes, SuStaIn model, propagating protein pathologies |
Katsuki Tozawa | Tokyo University of Agriculture and Technology | super resolution |
Katy Adler | Bar Ilan University | brain fc sc |
Kauê Bueno | Universidade São Judas Tadeu | #deeplearnig #machinelearing #alzheimer |
Kaue Duarte | University of Campinas | alzheimers, artificial intelligence, image retrieval |
kauser begum | The Center for Advanced Genomics | disease-variants diagnostics |
Kaushal Kishor Bhatt | Om Sterling Global University | sMRI and fMRI |
Kaushal Kishor Bhatt | Birla Institute of Applied Sciences | sMRI data, CNN, Deep CNN |
Kaushal Sethia | Misrimal Navajee Munoth Jain Engineering College | Need 1.5t and 3t dataset for final year project |
Kaushikee Kaushikee | University of Florida | SVM-based classifier, kernel, brain MRI, class project |
Kaustubh Patil | Research Center Juelich | machine learning, predictive modeling, biomarkers |
Kaustubh Supekar | Stanford University | Alzheimer's disease |
Kavana G | University visvesvaraya college of engineering | ADNI-1 AND ADNI-2 |
Kave Bahraman | Shahid Bahoonar University | ADNI DeepLearning 3D |
Kaveh Laksari | University of Arizona | TOF/MRA/CTA |
Kavish Shah | University of Pennsylvania | Classification models, Feature selection, Disease prediction, Data mining |
KAVITA BHATT | Delhi Technological University | Alzheimer, MRI, Disease Classification |
Kavita Chauhan | UIET PU chandigarh | alzheimer disease MRI PET |
Kavita Singh | Athinoula A. Martinos Center for Biomedical Imaging | brainstem imaging |
Kavitha Bakshi | Ryerson | Medical Machine Learning |
Kavitha MS | University | tau, amyloid |
Kaviya M | Sastra Deemed to be University | early AD detection, support vector machines |
Kavya Kavuri | Rutgers University | Research, application, DB |
Kavya N | Mahendra institute of technology | disease detection |
kavya N | Mahendra institute of technology | for hippocampus segmentation . |
Kawser Ahammed | Jatiya Kabi Kazi Nazrul Islam University | alzheimer |
Kawwalin Klintawee | Durham University | Alzheimer’s disease, Operationalizing Fairness in Medical AI Adoption |
Kay Igwe | Columbia University | WMH, Spectrum, MRS, MRI |
Kay Jann | USC Stevens Neuroimaging and Informatics Institute | Complexity, PET, fMRI |
KAYAL K R | ANNA UNVERSITY | Alzheimer |
Kayden Mimmack | Massachussetts General Hospital | apathy |
Kayes Uddin Fahim | Daffodil International University | Alzheimer disease, Machine Learning , Stage Classification |
Kayla Hazelwood Charniaux | University of Alabama, Birmingham | normal database, MRI, FDG-PET, amyloid pet, cognitively normal |
Kayla Thompson | Nova Southeastern University | Alzheimers, COMT, neuroinflammation, cognition |
Kaylee Bodner | Duke University Medical Center | Alzheimer's, neurofilament light, genes |
Kayode Adetunji | University of the Witwatersrand | Alzeihmer's disease, Gene interaction, Epistasis, Machine learning |
Kayoung Song | Seoul Chung Psychiatry Clinic | sildenafil. Korean, Alzheimer's dementia |
KAZUAKI YAMAMOTO | Toronto Western Hospital / University Health Network | Alzheimer's disease, connectome, functional MRI |
kazuamsa adachi | SORD CORPORATION | DTI-ALPS,ALPS-index |
Kazuhiko Tsuruse | NHS | database |
Kazuhiro Ikumi | MEDICOLAB | Medical Software Development |
Kazuki Takano | Fujita Health University | Alzheimer's disease, diffusion MRI, free water imaging |
Kazuma Ishikawa | Gunma Prefectural College of Health Sciences | amyloid PET AI |
Kazushi Suzuki | The University of Tokyo | J-ADNI, preclinical AD, biomarker |
Kazutaka Sekiguchi | Shionogi Co., Ltd. | machine learning |
Kazuto Arihara | The University of Tokyo Hospital | I will write it later. |
Kazuto Tsukita | Kyoto university | Alzheimer disease, Genetic analyses, Imaging analyses |
kd L | SIT | mild cognitive impairment , cnn |
Ke CHEN | University of Nottingham | machine learning, early diagnose |
Ke Ding | 东华大学 | Biospecimens、MRI、PET、Genetic |
Ke Ding | 东华大学 | ADNI、MRI |
Ke Fan | China | eeg |
Ke Tian | George Washington University | Multi-modality data analysis, Deep learning methods |
Ke Wan | the First Affiliated Hospital of Anhui Medical Universtiy | plasma biomarkers, VBM, gray matter volume, alzheimer's disease |
ke wang | Northeastern University at Qinhuangdao | Alzheimer's disease classification |
Ke Wu | Wuhan University of Science and Technology | brain network |
Ke Xi | Weill Cornell Medicine | Amyloid Tau Alzheimer AD MCI |
Ke xuan Dai | Communication University Of ZheJiang | Dynamic Brain Connectivity Preprocessing |
KE YU | UNIVERSITY OF OXFORD | ADNI |
Kedar Madi | Atrium Health Wake Forest Baptist, Wake Forest School of Medicine | hippocampus, shape analysis, morphometry, amyloid, tau |
Kedir Adem Hussen | USC-Alzheimer's Therapeutic Research Institute (ATRI) | Biostatistician, ADNI |
keee luuu | ynu | tensor; t-SVD; tensor discriminant analysis |
Keefer Lin | Chattahoochee High School | alzheimer, machine learning |
Keenan Down | Queen Mary University of London | synergy information theory connectomics controllability |
Keerthana B | Vidyavardhaka College of Engineering | Deep Learning, Classification, Detection, CNN |
Keerthana Purushotham | MSRIT | image processing, image denoising |
Keerthi Ram | IIT Madras | MRI, modeling, abnormality |
Keerthi Ravilla | University of camerino | Front-temporal dementia |
Keerthi Sravan Ravi | Columbia University | ADNI, MRI, DL, denoising |
Keerthika C | vit | ALZHEIMER, DEEP LEARNING, IMAGE PROCESSING |
Kefan Chen | university of sydney | Alzheimer's patients |
kefen hong | Huzhou Teachers College | Early Prediction of Alzheimer's disease |
kehua Chen | shantou University | radiomics, deep learning, genomics research |
kehui Nie | The first affiliated hospital of Suzhou University | AD,radiomics,image,risk,machine learning |
Kehui SONG | Nankai University | medical analysis |
kehui yi | Xiamen Branch Zhongshan Hospital, Fudan University | cognitve impairment dementia |
KEI KEI LEI | University of Macau | Alzheimer's in Macau |
Keiichi Onoda | Otemon Gakuin University | resting stage fMRI, machine learning |
Keiichi Tamura | Hiroshima City University | deep learning, clustering |
Keisuke Matsubara | Akita Prefectural University | Deep learning; PET; MRI; partial volume correction |
Keith McGregor | Emory University | MRI; fMRI; Aging, factor analysis; cognitive models; DWI |
Keith McGregor | University of Alabama, Birmingham | aging connectivity fmri GABA inhibition excitability |
Keith Widaman | University of California, Riverside | biomarkers, neuropathology |
Kejia Hu | Vanderbilt University | diagnosis, imputation, deep learning, |
Kejiao Gao | Northeastern university of china | Transfer learning |
Keke Liu | Shandong First Medical University | prediction model |
kellen mashia | University of the Witwatersrand | machine learning, Survival Analysis |
Kellen Petersen | Albert Einstein College of Medicine | alzheimers, machine learning, AI |
Kelley Kidwell | University of Michigan | hypothesis testing, regression |
kelley lee | Anhui medical university | spm |
Kellie Sim | SUTD | adni, bids |
Kelly Glavin | University of Pittsburgh | diffusion MRI |
Kelly Nudelman | Indiana University-Purdue University Indianapolis | Alzheimer's disease, cancer |
Kelly Peres | AstraZeneca | fMRI, Graph Neural Network, MRI, gene expression data |
Kelly Rootes-Murdy | Georgia State University | apoe, Alzheimer's disease, delusions |
Kelsey Thomas | University of California San Diego | neuropsychology, Alzheimer's disease, Mild Cognitive Impairment |
Kelsi West | Catalytic Data Science | SNP, Variants, Cluster |
Ken Lin | Nankai University | Alzheimer Disease; genome |
KEN SAKAIE | THE CLEVELAND CLINIC | DTI, memory, biomarker |
Kenan Zengin | Tokat Gaziosmanpasa University | CNN, BiLSTM |
KENCHAIAH RAGHAVENDRA | NIMHANS | PET, MOLECULAR MARKERS |
Kendall Loh | Personal | Brain Stem, Trauma, Alzheimer's, Vascular Dementia |
Keng Soh | Novo Nordisk | omics |
Keng-Chi Liu | National Taiwan University | research |
Kengo Onda | Johns Hopkins University | MRI analysis |
Kengo Onda | Johns Hopkins University | MRI analysis, volume of structures, Ventricle |
Kenichi Oishi | Johns Hopkins University | MRI, clinical, multimodal, prediction, prognosis |
Kenichiro Sato | University of Tokyo Hospital | J-ADNI |
Kenichiro Tanabe | TRI | Medication, Comorbidity |
kening shi | Qingdao University | convenience |
Kenji Yoshimura | Graduate School of Medicine, Kyoto University | cognitive reserve, fMRI, connectivity, graph theory |
Kenji Yoshinaga | Kyoto university | structural MRI, functional MRI, connectome |
kenken liu | xian | student to learn |
Kenneth Gao | UCSF | Genentech – 404 Challenge |
Kenneth Muir | University of Manchester | mendelian randomisation, polygenic risk, ApoE |
Kenneth Revett | Champlain College | bipolar disorder, deep learning based brain atlas labeling, MDD, |
Kenneth Rostowsky | University of Southern California | Alzheimer's disease, traumatic brain injury |
Kenneth Rostowsky | University of California, San Diego | Tau, Amyloid, Alzheimer's disease, PET, fMRI |
Kenneth Sullivan | Koh Young Research America | machine learning, computer vision, unsupervised learning |
Kenneth Tan | Le Wagon | CNN, Deep learning, AI |
kenny Lin | National Chiayi University | Brain MRI Images, Convolutional Neural Network, Deep Learning, Alzheimer's Dise |
Kenong Su | Emory University | Deep learning |
Keondo Park | Seoul National University | Data visualization |
Keping Chen | Southeast University | AD; circular RNA |
Keqi Zhou | Northeastern University | zkq000791 |
Keqiang Yan | Chinese Academy of Sciience | PRS |
keqin zeng | South China Normal University | Retinal |
KERCHAOUI Abdelilah | Mohammed V University | "MRI" and "ADNI" |
Kerena Belony | Boston University | Predictive models |
Kersten Diers | German Center for Neurodegenerative Diseases | quality control; statistical modeling |
Kerstin Hammernik | Technical University of Munich | Alzheimer's Disease; Machine Learning; Neural Networks; Explainable AI |
Kerstin Ritter | Charité-Universitätsmedizin | multimodal data integration, random forests, bayesian analysis, diagnostics |
Kesheng Wang | West Virginia University | GWAS, WGS, SNPs, CNV, AD, MCI, biomarkers, pathway, statistical methods |
Keshet Pardo | Rabin Medical Center | Cortical atrophy, Alzheimer’s disease, ECog-39, FreeSurfer |
Ketan Bansal | National Institute of Technology Andhra Pradesh | Artificial Intelligence, Deep Learning, NIT, India, Research |
Ketan Bansal | National Institute of Technology Andhra Pradesh | Artificial Intelligence, Deep Learning, NIT, India, Research |
Ketil Oppedal | University of Stavanger | Computer aided diagnosis, MRI, dementia |
KEUN YOU KIM | Yonsei University College of Medicine / Severance Hospital | Clusterin, Irisin, Alzheimer's Disease, Diabetes Mellitus |
keveen rodríguez | University of Antioquia | dyn-rs-fMRI, resting state networks |
Kevin Aliko | Epoka University | CNN, AD |
Kevin Aquino | University of Sydney | DiCER |
Kévin Brou Boni | Centre Oscar Lambret | GAN, CT, MRI, pseudo-CT, radiotherapy |
Kevin Chen | Stanford University | multimodal imaging, image post-processing, spatial resolution |
Kevin Chen | National Taiwan University | deep learning, PET/MRI |
Kevin Cortes | National Experimental University of Táchira | alzheimer, convolutional neural network, fMRI |
Kevin Coyle | Florida State Univeristy | Machine Learning Biomarker Nueral Network Early Identification Infomation. |
Kevin Donovan | University of Pennsylvania | residualization |
Kevin Duff | University of Utah | biological samples |
Kevin Galinsky | Takeda | NFL; cognition; TREM2; CD33 |
Kevin Huynh | Baker Heart and Diabetes Institute | lipidomics, metabolomics |
Kevin Kerber | Ohio State Univeristy | cerebellum, neuroimaging, cognition |
Kevin King | Dr.HMRI | automated image analysis |
Kevin Koshy | Vellore Institute of Technology | PET scans , Alzheimer's Disease , Convolutional neural network |
Kevin Kreeger | Fovia, Inc | MRI, Segmentation, Quantification, Visualization |
Kevin Leipold | University of Pittsburgh | business analytics, business katz school |
Kevin Leung | Johns Hopkins University | Alzheimer’s disease; Deep learning; Machine learning; Prognosis |
Kevin Manning | University of Connecticut School of Medicine | apathy, financial capacity |
Kevin McRae-McKee | Imperial College London | Imaging, MRI, brain scans |
Kevin Mekulu | Pennsylvania State University | dementia survival analysis health management |
Kevin Mueller | Florida State University | Neurodegenerative disease, controllability, graph neural networks |
Kevin Ohuchukwu | Leeds Beckett University | Alzemeimer |
Kevin Raina | University of Ottawa | MedICSS Challenge |
Kevin Thomas | Stanford University | MRI, Segmentation, T1 |
Kevin Thomas | Saliency | MRI, Segmentation, Computer Vision |
Kevin Tsai | Yuan Ze University | Computer Aided System |
Kevin Vulcano | Utah State University | fMRI, Deep Learning, Classification |
Kevin Wang | United Imaging | deep nerual netowrk; multi-modal images; AD/MCI diagnosis |
Kevin Wang | University of Southern California | UI/UX |
kevin zhang | Zhejiang University | AD biomarker |
kevin zhao | Guangdong University Of Technology | Alzheimer’s disease,Graph convolutional networks,Semi-supervised classification |
Kewei Liang | Chinese Academy of Sciences | scientific research |
KEXIAN WANG | CHINA PHARMARCUETICAL UNIVERSITY | STUDY |
kexin li | Tianjin University | research |
Kexin Liu | Shaanxi University of Science & Technology | AD,fMRI,deep learning |
kexin LOU | SUSTECH | deep learning |
KEXIN SUN | 安徽医科大学第一附属医院 | Alzheimer |
kexuan liang | yale | post-gwas, genetic corrrelation |
keyi cao | Suzhou University of Science and Technology | AD |
keyla flores | MBIT SCHOOL BUSINESS DATA INTELLIGENCE | ALZHEIMER |
Keyu Chen | Liaoning Normal University | Resting state; dynamic; fMRI; Classification |
Keyu Li | The Chinese University of Hong Kong | medical image analysis |
Keyur Patel | Institute of Technology, Nirma University | Alzheimer's Disease, Brain Aging, Convolutional Neural Network, Deep learning |
Kfir Ariel | Tel Aviv University | thesis, research methods, neurodegenerative diseases |
Kfir Flank | Boston University | Modeling, research |
Kgosi Hughes | Wake Forest University | Alzheimer's disease, magnetic resonance imaging (MRI), PET, biomarkers |
khadar afghan | KLE's Technological University | mini project on segmentation on brain mri |
Khadidzha Abdullaieva | Karolinska Institutet | comorbidity, biomarker, AD |
KHADIJA TAL KUBRA | FLINDERS UNIVERSITY | IMAGE ANALYSES |
Khajonsak Tantiwetchayanon | Faculaty of Medical Technology, Mahidol university | classsification, Alzheimer's, MCI |
khaled aldahish | the german university in cairo | Machine Learning, Alzheimer, neurodegenerative |
Khaled Bedda | Lakekead University | Neuroimaging, Autism Classification, Autism detection, deep learning |
Khaled Beddakhe | UBMA Annaba University | Alzheimer's disease (AD) Early detection Medication care Cognitive loss Dementia |
khaled bouazizi | LMBE | VGG16, InceptionV3, CNN |
khaled sayed | Benha University | Early detection |
Khaleel Al-Rababah | DAKOTA STATE UNIVERSITY | DWT |
Khalid Ismail | Birmingham City University | machine learning, dementia |
Khalid Nassiri | Université de Moncton | LLM, Transformers, Medical rapport |
khalifa dhahie | ljmu | final year project |
khalil saikali | Cognito | mci |
Khan Hekmatyar | University of Delaware | MRI, Image analysis, python, DTI, |
Khandakar Tanvir Ahmed | University of Central Florida | mutation, MRI image, Alzheimer |
Khanh Nguyen | Chonnam National University | Alzheimer's disease Analysis |
khaoula sansa | ENIG | alzheimer, deep learning, cnn, machine learning |
Kharne Jean | University of Georgia | APOE e4 functional independence white matter integrity |
Khethiwe Dlamini | University of the Free State | R, Python, unsupervised learning, MRI, PET, big data |
Khoa Nguyen | CMUH | attention-based deep learning, multi-modal data, AD, dementia |
Khong-Loon Tiong | Institute of Statistical Science | Deep learning, Phenotype, Genotype |
Khristina Pershina | NYCU | MRI reconstruction, Deep Learning |
Khuhed Memon | Universiti Teknologi Petronas | Neurological disorders, MRI based diagnosis |
Khurram Rana | University Of Management And Technology | ADNI2 ADNI3 |
Khurram Tehseen | Preston Ventures | aging |
Khush Patel | UTHealth | Deep learning, Classifier |
Khushi Chavan | Dwarkadas Jivanlal Sanghvi College Of Engineering | Alzheimer, Mild Cognitive Impairment, Early MCI, and Late MCI |
Ki-Eun Hyeong | Neurozen institute | deep-learning, super-resolution |
Kia Plumridge | Edith Cowan University | Alzheimer's, CNN, MRI |
kiana najmi | amirkabir | alzheimer detection mri fmri matlab |
KIANA najmi | amirkabir university | alzheimer detection by fmri and mri and dti |
Kianoosh Saheb Ekhtiari | University of Hamedan Medical Sciences | Dementia, Neuroimaging |
Kiara Xhindi | University of Florida | Network Analysis, Matrices, Quantifiers, Biomarker |
Kiaran McGee | Mayo Clinic College of Medicine | MRI, PET, amyloid |
kiarash roustai geraylow | Semnan university of medical sciences | alzheimer's disease |
Kiarash Shirbandi | Ahvaz Jundishapur University of Medical Sciences | Alzheimer; PET |
Kichang Kwak | Samsung Medical Center | Alzheimer's disease, deep learning |
Kie Abe | Yokohama City University School of Medicine | neuroinflammation |
Kieran Andrew | Banner Health | executive function, cortical volume, cognition |
Kiernan Johnson | The State University of New York at Buffalo | NeuroPsychological Testing Ontology |
kiki li | shanghai normal university | Alzheimer's disease, fast cognitve decline |
kiki wasaka | south china normal university | optical coherence tomography |
Kilian Hett | University of Bordeaux | Patch-based biomarkers, hippocampus, hippocampal subfields |
Kilian Hett | Vanderbilt University Medical Center | Glymphatics system |
Kilvia Almeida | Seoul National University | detection, machine learning, alzheimer |
Kim Casey | Washington University | ADOPIC |
kim donghyeon | gist | what_this_mean |
KIM EUNJI | kai-i | dementia |
Kim Eunkyeoung | DGIST | GAN, PET |
Kim Ha Min | Seoul national university | deep learning |
Kim Hayoung | Yonsei University | Alzheimer’s Disease Neuroimaging Initiative |
Kim JaeHyun | Keimyung | Artificial inteligence |
kim jinyang | universityof korea | data augmentation |
Kim Lankenau | University of Bremen | Dementia Recognition, Deep Learning, Machine Learning |
KIM MINJOUNG | Inthetech | Deep Learning, |
kim minseok | university of chung-ang | MFPCA |
kim powell | OSU | T2-Flair T2 MRI |
Kim Seunghyun | Catholic-University of Korea (The Republic of) | Deep Learning |
Kim Seungyeon | Robotics Laboratory | classification, regression, geometry, algebra |
KIM SUNG MIN | YONSEI UNIVERSITY | MRI, Stroke, Alzheimer's, dementia |
kim taeuk | Samsung hospital | data |
Kimberly Paul | University of California Los Angeles | epigentic aging |
kimia foroozani | shiraz university | AB,AD,ML |
Kimia Tajik | Case Western Reserve University | quality enhancement, super-resolution, noise reduction |
Kimia Vakili | Shahid beheshti university of medical sciences | Amyloid beta - alzheimer |
Kimia Vakili | SBMU | ALE |
Kin Kuok Lam | Siemens Healthineers | ADNI3 Advanced Diffusion |
kin sin | student | clinical data, study |
Kin Yat Liu | The Hang Seng University of Hong Kong | Bayesian, Longitudinal, Functional Data |
kinchal Sharma Tandon | Aegis School of Business, Data Science, Cyber Security & Telecommunication | Alzheimer's dataset (Patient Records) for "Memory Loss Prediction Model" |
King Bradley | National Yunlin University of Science and Technology | Graduation Project |
King Fung, Dominic Lin | Swinburne University of Technology | Alzheimer's Disease diagnosis, Machine Learning, ADNI, AIBL |
king king | uestc | fdskfhl |
King Sang Tang | Chalmers university of Technology | Super-resolution, classification |
Kira Bukharina | SAIT | Alzgeimers |
Kiran C.R | jss science and technology university mysore | MRI images, Alzheimers, |
kiran kiani | IIUI | Alzheimer |
Kiran Kokilepersaud | Georgia Institute of Technology | Machine Learning, Classification, Disease Detection |
kiran lolla | mvgr | alzheimers, FCN |
Kiran Samra | University College London | Team Coders Workshop |
Kirandeep Kour | Max Planck Institute Magdeburg | multilinear algebra, classification, machine learning model, SVM, STM |
Kiriaki Rajotte | University of Massachusetts Lowell | Alzheimer's Disease, Clustering |
kirmene Marzouki | Higher Institute of Informatics | Alzheimer detection |
Kirsten Hagen | Oregon Health & Science University | plasma, oxylipins |
Kirsten Koopman | University of Technology Eindhoven | Multiple Sclerosis, lesions, lesion segmentation, white matter hyperintensity |
Kirsten Lynch | Keck School of Medicine of USC | Alzheimer's disease, lifespan, stress, metabolism, inflammation |
Kirsten Mehlig | Sahlgrenska Academy at Gothenburg University | fasting serum insulin, genetic risk score, dementia |
Kirsten Moody | Massachusetts General Hospital | tau PET, AV1451, sex differences |
KIRTAN GHELANI | SRM Institute of Science and Technology, Ramapuram Campus | Alzheimers, Organoids, Stem Cells, Artificial Intelligence, |
Kirti Raj Bhatele | Rustamji Institute of technology, BSF Academy, Tekanpur | Machine learning, Deep learning, Alzheimer’s disease, Schizophrenia, Parkinson’s |
kishan patel | Einstein Medicine | MRI, MCI, AD, conversion |
Kishan Shetty | University of Bristol | MRI, Alzheimer, Neural Network |
Kishan Vishwakarma | VIT | machine learning |
kishore balasubramanian | Dr MCET | CNN, bio insired algorithms |
Kishore Malyavantham | Quanterix | ADNI-3 |
Kishore Pangaluru | University of California | alzhemier, dimensia, parkinsons, data , and images |
Kishore Rayan | Vellore Institute of Technology, Vellore (VIT) | Alzheimer imaging analysis |
Kisung You | Yale University | neuroimaging, machine learning, classification, network discovery |
Kiwan Jeon | National Institute for Mathematical Sciences | PET image enhancement, Deep Learning |
KIYOAKI TAKEDA | Kyoto University | Amyloid PET |
Kjera Schack | Banner | cardiovascular, amyloid, alleles, genes, cognitively |
Klemens Justian Liu | The University of Hong Kong | morphometry |
Kleython José Coriolano Cavalcanti de Lacerda | University of São Paulo | CNN, Alzheimer's disease, Frontotemporal dementia, Lewy body dementia |
km Ankita Rai | INDIRA GANDHI DELHI TECHNICAL UNIVERSITY FOR WOMEN | medical image fusion, AI |
Km Poonam | IIT Kharagpur | Dementia |
Kobe Bamps | KULeuven | MedICSS |
Kobra Etminani | halmstad university | Skull stripping ,prognosis of AD and Dementia |
Koby Taswell | Brain Health Alliance | Virtual Reality, Image Processing, Brain Imaging |
Kodai YAMASHITA | Tsukuba of University | CrossModality Transformation, GAN, Medical Imaging, MRI, PET |
Koeun Lim | University of Arizona | machine learning |
Kogilavani S V | Kongu Engineering College | alzheimer's, dementia, deep learning, machine learning |
Kohei Kashiwagi | Hosei University | CBIR |
Koji Fujita | Tokushima University | principal component analysis |
Koji Jimura | Keio University | resting state fMRI, behavioral testing, functional connectivity |
Koji Kamagata | Juntendo university | glymphatic system, alzheimer's disease |
Koji Yamashita | Kyushu Medical Center | cortical thickness, volume based morphometry |
Kok Pin Ng | National Neuroscience Institute | genome-wide association study, Alzheimer’s, cerebrovascular, genetics |
Koki Yoshinaga | University of Electro-Communications | GCN, Semi-supervised classification, Alzheimer's disease |
Koko Ishizuka | JOHNS HOPKINS UNIVERSITY | stress biomarker |
Kollol Kumar | Rajshahi University of Engineering & Technology | MRI Deep Learning Alzheimer's Disease |
Koma Suzuki | Kyoto University | Diffusion MRI. |
Komail Mehrgan | Ferdowsi university of Mashhad | super resolution, medical image, image processing |
komal jindal | NBRC | fMRI |
KOMAL Singh | university of Allahabad | fMRI, AD, Nifti |
kong hang | Beihang university | deep learning,medical image |
Kong Jingting | Southeast University | AD, risk factor |
Kong Lingke | Manteia | just4you |
kong nan | The First Affiliated Hospital of Shantou University Medical College | nn991014 |
kong zhaokai | nanjing tech university | My research direction |
Kong Zining | Nankai university | QR, SCAD, Glasso, MCP |
Konrad Kluwak | Universidad De Las Palmas De Gran Canaria | machine learning, neural networks, biomarkers, gait, physical-cognitive performa |
Konstantin Chernukha | Temple University Health System | glymphatic pathway malfunction, dementia, screening |
Konstantina Dimaki | Wentworth Institute of Technology | Alzheimer's disease, prediction |
Konstantina Skolariki | University of Edinburgh | AD, early onset biomarkers, MCI, imaging scans, MRI, plasma biomarkers |
Konstantinos Arfanakis | Illinois Institute of Technology | diffusion, DTI, registration |
Konstantinos Arfanakis | Illinois Institute of Technology | mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker |
Konstantinos Chiotis | Karolinska Institutet | AD, MCI, PIB, FDG, AV-45 |
Konstantinos Ioannou | Karolinska Institutet | 18F-AV1451 Cognition decline |
Konstantinos Poulakis | Karolinska Institute | TADPOLE, statistics, machine learning, data ,mining |
Koral Wheeler | University of Southern California | amyloid, tau, apoe4, sex, estrogen replacement therapy, post-menopause |
Kory Burns | Sandia National Laboratory | Machine Learning, Deep Learning, analytics, reproducibility |
Kosei Arima | Balochistan Univeristy of information and technology | Alzheimer's, MRI, Detection, medical |
Kostas Psychogios | NTUA | NN,MRI,Machine_learning |
Kou Yifan | Huaibei Normal University | multimodal deep learning |
Kouayep sonia carole | InJe university | Alzheimer, deep learning, explainable Ai |
Kouda Amine | DZ | ADNI |
Kourosh Ahmadi | Computing and Engineering | Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net |
KQ Wu | shanghai university | brain imaging research |
Kris Barreto | University of Sasaktchewan | Clinical Trial |
Kris Kim | NIH | Alzheimer, MRI, PET, Machine Learning |
Kris Siemionow | Inteneural Networks | machine learning, Alzheimer’s, NGS |
Krish Desai | Leland High School | neural network |
Krishna Kalari | Mayo Clinic | Gentoypes, FDG-PET, gender-based candidates, genes, pathways, and mechanisms |
krishna more | Xavier Institute of Engineering | cnn,pytorch,deep learning |
KRISHNA PRAKASHA | MIT Manipal | Deep Learning, CNN, Medical Image processing |
Krishna Priya Godwin Anand | National University of Science and Technology | Artificial Intelligence, Machine Learning |
Krishna Pusuluri | Georgia State University | Machine learning |
Krishna Saketh Koduru | UCSF | connectome, DTI, rsfMRI |
Krishnakant Saboo | University of Illinois Urbana Champaign | longitudinal analysis, trajectories, PASA |
Krishnakumar Vaithinathan | Pondicherry University | ELM, Neroimaging, Alzheimer's disease disagnosis tool |
Krishnan Venkataraman | Johns Hopkins | volume , regions |
Krishnapriya Sathambakam | Individual | Alzheimers |
Krishnendu J | Purpose Technology | Alzheimer's detection, plasma protien, AI, SVM |
Krista Lanctot | Sunnybrook Research Institution | Alzheimer's disease, mild cognitive impairment, neurofilament light, GAP-43 |
Krista Wartchow | Weill Cornell Medical College | Lipids, Alzheimer Disease, Biomarkers, hippocampus |
Kristel Sleegers | University of Antwerp | WES, rare variant analysis, Alzheimer endophenotypes |
Kristen Knight | University of Georgia | imaging genetics |
Kristian Schmitt | University hospital Halle (Saale), Germany | Alzheimer, Adiposity, Thesis |
Kristin Glass | Retired | Machine learning, Alzheimers Disease, Fronto-temopral dementia. |
Kristin Jünemann | Hannover Medical School | healthy elderly, white matter, neuroplasticity |
Kristin Levine | Data Tecnica/NIH | CNN, Machine Learning, Alzheimers |
Kristin Linn | University of Pennsylvania | segmentation, label fusion, hippocampus |
Kristin Wildsmith | Genentech | CSF, biomarkers |
Kristine Hein | University of Oslo | Machine Learning, XAI |
Kristofer Linton-Reid | Imperial Colelge London | APOE |
Kristyna Hermanova | Tu Delft | medical image classification |
Kritesh Rauniyar | Delhi Technological University | Alzheimer's, AI, Deep Learning |
krithikaaliasAnbuDevi murali | Vellore Institute of Technology | MRI |
Kriti Poddar | Birla Institute of technology, Mesra, Ranchi | IOT, Alzheimer's, data science |
Kritib Bhattarai | Mayo Clinic | Reinforcement Learning, ANDIMERGE |
Kritsada Suriyajun | King Mongkut's Institute of Technology Ladkrabang | Alzheimer |
Kruk Zsolt | Technical University of Cluj-Napoca | TADPOLE |
Kruti Pandya | Portland State University | disease progression, multimodal biomarker |
Krystal Laing | Columbia University | biomarkers, AD, PET |
Krystal Laing | University of Edinburgh | APOE, BBB, biomarkers, dementia, cognitive impairment, pericytes, CVD, MRI |
Krystian Mao | UESTC | quality control |
Krzysztof Tarnowski | AstraZeneca | ML, MRI |
Ksenia Sokolova | King's College London | brain age |
Kseniia Shilova | National Research University Higher School of Economics | Topological Data Analisys, Persistent Homologies, SNPs, fMRI |
Ksheera Sagar Keralapura Nagaraju | Purdue University | Netowrk Analysis, Cortical Thickness |
Kshitij Jadhav | Indian Institute of Technology | Alzheimer's disease, small vessel disease, MCI |
Kshitij Kumar | IIT Delhi | Neuro Imaging, AI |
Kuan Chun Chen | National Taiwan University | deep learning, dementia, Alzheimer |
Kuan Han | University of Michigan | representation learning; connectivity; disease prediction |
Kuan Lu | Imperial College London | Master student, Individual project, Anatomical landmark detection |
kuan-jui su | Tulane University | deep learning, machine learning, mental disease, biomarker |
Kuang Gong | Massachusetts General Hospital | Deep learning, AD, MCI |
Kuang Gong | Massachusetts General Hospital and Harvard Medical School | PET, partial volume correction, deep learning |
kuang shu | Southern University of Science and Technology | Alzheimer's disease diagnosis, explainable deep learning, model visualization |
kuangxing kuanxing | wuhan university | analysis and processing of medical images |
Kubilay KARAPINAR | Techincal University of Munich | GCN |
Kubranur Arl' | Fatih Sultan Mehmet University | volume reduction, alzheimer, |
KUEI-CHANG LI | Industrial Technology Research Institute | Neurofilament Light; MCI; ApoE; AB test 40/42; Tau |
Kui LI | City University of HK | model |
kui zhao | guangzhou university of chinese medicine | epoe4 and hippocampus |
Kuixi Zhu | University of Arizona | metabolite |
Kulachi Thapar | PES Univeristy | ML, Deep Learning |
Kuldeep Kumar | Ecole de technologie superieure | Co-clustering, dictionary learning, classification |
Kuljeet Singh | Central University of Jammu | Neuro disorders, Machine learning, Deep learning |
Kumail Alhamoud | KAUST | generative models, machine learning |
Kumar Deep Barman | North-Eastern Hill university, Tura campus | Alzheimer's disease |
Kumar Rohit | Symbiosis Institute of Technology | machine learning |
Kumar Utkarsh | Mahatma Gandhi Central University | project |
Kumaran R | RMK ENGINEERING COLLEGE | PROJECT ON USING AI FOR AIBL |
Kumarran Arasaretnam | Birkbeck University | Alzheimer's |
Kumpei Ikuta | Hosei University | machine learning, image retrieval, dimensionality reduction |
Kumud Lakara | Manipal Institute of Technology | Artificial Evolution, Research, Evolution, Human Brain, Alzheimer's Disease |
KUMUD PANT | GRAPHIC ERA UNIVERSITY | MACHINE LEARNING CLASSIFICATION |
Kun Bai | University of Michigan | gene expression, DEG, ANOVA |
KUN CAI | 贵州医科大学 | AD |
Kun Gao | UNC-chapel hill | medical image classification, deep neural network |
kun he | Huashan hospital affiliated to fudan university | PET;AD; Chinese;FDG |
Kun Huang | Indiana University School of Medicine | Alzheimer's disease; Biological markers; |
Kun Liu | Shandong university of science and technology | deep learning,disease diagnosis |
Kun Meng | Brown University | Topological data analysis, functional data analysis, functional connectivity |
kun tang | IMIAPD of Guizhou University | deformable registration |
kun yan | Beijing Jiaotong University | Multimodal Medical Imaging |
Kun Zhao | Beihang university | MCI, AD, Subtype |
kun zhou | 复旦大学 | segmentation hippocampus |
Kunal Aggarwal | Amity University | Machine Learning, AD, MCI |
Kunbo Wang | Johns Hopkins University | Bayesian Tensor Regression |
Kunda Yang | Shanghai Technology University, China | thin slice MR image reconstruction, deep learning |
Kunio Nakamura | Cleveland Clinic | hyperintensity |
Kunjal Shah | The University of Texas at Austin | GAN |
kunpeng cui | ZhengzhouUnivercity | medical image registration |
KunPeng Liao | Northeastern University | deep learning,Predict disease |
kunpeng wang | 学生 | study;AD judgment |
kunxu chen | Sun Yat-sen university | study |
Kunyi li | First Affilated Hospital of Chong Medical Univesity | Altheimer's disease CSF MRI |
Kuo Rui | Central South University | research |
Kuo Zhang | WenZhou University | AD,Early diagnosis,Classification |
Kurt Farrell | Icahn School of Medicine at Mount Sinai | Primary age-related tauopathy |
Kurt James | University of Southampton | AI algorithm |
Kurt Michels | Critical Path | C-Path |
Kurumi Yamashita | Juntendo university | Create your own database |
Kush Pandya | KIIT | Alzheimer,Disease,CNN,RNN,DEEP LEARNING |
Kusha Mohammadi | University of Texas Health Houston | Continuous Markov Chain, Alzheimers Disease |
Kushagra Agarwal | Indian Instiute of Engineering Science and Technlogy,Shibpur | Alzheimer's Detection |
Kushal Borkar | International Institute of Information Technology, Hyderabad | f-MRI dataset |
Kushal Garg | BITS PILANI GOA | cnn deep learning |
Kwan-Yin Chow | National Taiwan Normal University | Dataset , Skull stripping |
Kwanghee Jung | Texas Tech University | Quantitative |
Kwangsik Nho | Indiana University School of Medicine | Genetics, using ADNI data as a teaching example, Friday Harbor |
Kwangyeol Baek | Pusan National University | Neuroimage, Cognitive function, Longitudinal study, Cohort, PNU, Korea |
Kweku Enninful | Washington University in St. Louis | Machine Learning, Alzheimer's |
KwonHwi Cho | Hankuk University of Foreign Studies | DeepLearning, Data |
Kwun Ho Ngan | City University London | Explainable AI, Medical Image Analysis, accountability and fairness |
Kyan Younes | Stanford School of Medicine | MRI, Alzheimer`s disease. |
Kyla Chooi | The University of Hong Kong | FMRI |
Kyla-Louise Horne | University of Otago | Parkinson's disease, MRI, ageing, machine learning, biomarkers |
Kyle Ormsby | Reed College / University of Washington | topological data analysis, persistent homology, Alzheimer's disease |
Kyle Peterson | University of Iowa | deep learning, temporal, graph mining |
Kyle Schichl | Columbia University | Stacked Denoising Autoencoders |
Kyle Schueller | Florida State University | Disease Severity, Disease Progression, Deep Learning, |
Kyle See | University of Florida | Prediction, Limited Data, Progression |
Kyle SHATTUCK | Georgetown University | Alzheimer’s disease (AD); Graph theory; Machine learning; Resting-state function |
Kyle Stanley | Penn State University | factor analysis, functional data analysis, functional connectivity |
Kyle Womack | Washington University School of Medicine in St. Louis | Diffusion, amyloid |
Kylia Williams | University of Pittsburgh | Congenital heart disease, Alzheimer's disease, association analysis |
kylie sligar | UT SouthWestern | trauma, PTSD, TBI |
kylle wang | Chongqing university of Posts and Telecommunications | deep learning |
Kyoung Won Park | Yonsei University | 4390 |
Kyoung Won Park | Yonsei University | 4390 |
Kyoungjune Pak | Pusan national university hospital | neuroimaging |
Kyoungwon Seo | Seoul National University of Science and Technology | MRI, Virtual Reality, Digital Biomarker, Mild Cognitive Impairment |
Kyra Cebula | University of Manitoba | brain imaging |
Kyriaki Mengoudi | American College of Thessaloniki | data science |
KYRIAKI NEOPHYTOU | JOHNS HOPKINS UNIVERSITY | Primary Progressive Aphasia; DTI; tractography; language |
Kyriaki-Margarita Bintsi | Imperial College London | brain MR images, T1-weighted, AD classification |
Kyu Ha Lee | Haravrd School of Public Health | variable selection, survival analysis, censored data |
Kyu Sung Choi | Korea Advanced Institute of Science and Technology (KAIST) | follow-up |
Kyubi Yang | Boston University | Alzheimer's disease |
KYUHO KIM | Heuron Co., Ltd. | A;zje,oerdisease |
Kyung-Ah Sohn | Ajou University | deep learning, prediction, machine learning, early diagnosis, integrative analys |
KyungJae Cheong | Codestates | Deep-Learning, CNN |
Kyungmin Ahn | Keimyung University | SRVF, shape analysis |
Kyungmin Lee | Ajou university medical center | Alzhemier's dementia, Subcortical ischemic vascular dementia, VBM |
Kyungsu Lee | DGIST | Deep Learning, Alzheimer's disease |
Kyungtaek Park | Seoul National University | AD, GWAS, image GWAS |
Kyungwon Park | DGIST | fMRI, Dementia |
Kyuseok Kim | College of Medicine / Yonsei University | Deep learning, machine learning |
L K | UoY | BA47, Alzheimers, hippocampus |
L L | BIT | AD、Fmri、Functional connectivity |
l yh | swjtu | deeplearning |
LAASYA YARLAGADDA | VIT University | Neurological |
Lady Gonzalez | Universidad Yachay Tech | image processing |
laetitia lemoine | karolinska institutet | postmortem, antemortem, tau |
Lahouari Ghouti | Prince Sultan University | deep learning, ai, classification, detection |
lai zhaoyu | University of Chinese Academy of Science | connectome |
Laiba Saleem | University of Sharjah | Project, Detection |
laila alsaqaf | SVU | alzahaimer |
Laila Waraich | University of Hong Kong | structural |
Laiss Bertola | Universidade Federal de Minas Gerais | Genetics, using ADNI data as a teaching example, Friday Harbor |
LAKHAN DEV SHARMA | VIT-AP University | Deep Learning |
Lakshika Gamage | University of Colombo School of Computing | Average Curve, Best Curve, Graph Neural Network, Alzheimer Disease |
Lakshita Bhargava | Maharaja Agrasen Institute of Technology | Deep Learning; Alzheimers; Progression;Prediction |
lakshitha hm | studying | preclinical stage detection |
Lakshmi Lasya Sreeramagiri | Georgia Institute of Technology | Deep learning, Machine learning, alzheimers, Neuroimaging |
Lakshmi Sritan Motati | Thomas Jefferson High School for Science and Technology | machine learning, clustering, 3d |
Lalita Moharkar | XIE | MRI, EEG and PET |
Lalith Kumar Shiyam Sundar | Medical University of Vienna | deep-learning, florabetaben |
Lam-Ha Dang | Columbia University Irving Medical Center | down syndrome; neurofilament light chain; genetics; GWAS; biomarkers |
Lama Alshabib | Lean Business Services | classification |
LAMYA AMGHAR | INPT | CBIR,capsnet |
LAMYAA ELSER MOHAMMED | University of Gezira | Alzheimer’s disease ,CNN |
Lan Hoa Diep | Novonordisk | multi-omics |
Lan Huang | Cal Poly Pomona | Analytics for Early Diagnosis of Demented Alzheimer’s Diseases |
Lan Shui | University of Washington | OPNMF, longitudinal analysis |
Lan Yang | Xi'an Jiaotong university | graph deep dictionary learning |
Lana Garmire | University of Michigan | metabolomics, genomics, genetics, clinical data |
Lang Li | University of North Carolina at Chapel Hill | brain network |
langchao Gao | Shaanxi University of Science & Technology | study |
lanjin lai | the First Affiliated Hospital of Nanchang University | Type 2 Diabetes,white matter hyperintensity,brain atrophy |
Lanjun Li | The First Affiliated Hospital of Zhengzhou University | Alzheimer's disease, deep learning, diagnose model |
Lanjun Luo | North Sichuan Medical College | deep learning; interpretable machine learning; Alzheimer; risk analysis |
Lanting He | Beijing Institude of Techonology | Imaging omics |
Lanting Li | Northeastern University | Segmentation |
Lanxin Li | University of Glasgow | GWAS, SNPs, Quantitative trait, Bayesian regression |
Laouen Belloli | Universidad de Buenos Aires | Alzheimer, Machine Learning, Statistics, Course. |
Lapasrada Sutthikanung | Kasetsart University | MRI in Alzheimer's Disease |
Lara Hocurscak | FMF UL | FDG-PET, Alzheimer's disease |
Lara Mentink | Radboud University Medical Center | amyloid-β, PET, Centiloids, quantitative intensity harmonization method |
Laraib Iqbal Malik | AbbVie Inc | Analysis |
Lars Bertram | University of Luebeck | GWAS, EMIF, QTL, PGS |
Lars Frings | University of Freiburg | PET; Amyloid; FDG; Medial Temporal Lobe |
Lars Lau Raket | H. Lundbeck A/S | disease progression; AD timeline; nonlinear mixed-effects models; biomarkers |
Lasse Stensvig Madsen | Aarhus University | Alzheimer's disease, prediction, machine learning |
Lasya Sreepada | University of Pennsylvania | heterogeneity, methylation, biological aging, MRI |
Latifa Saïdi | enetcom sfax | Image processing/ segmentation/ machine learning |
Lauge Sørensen | University of Copenhagen | image markers, registration, statistical shape modeling, texture analysis |
Laura Barros | Universidad de los Andes | MRI classification |
Laura Bellon | University of the andes | Neurodegenerative |
Laura Ekblad | Amsterdam UMC | CSF, proteomics, atrophy, cortical thickness, MCI, Alzheimer |
Laura Fenton | University of Southern California | Alzheimer's, aging |
Laura Filippi | IRCSS San Martino Hospital | Amyloid uptake in AD |
Laura Freijeiro González | Universidade de Santiago de Compostela | dependence tests |
Laura Garcia | Universidad de Antioquia | Preprocessing fmri |
Laura Gibbons | University of Washington | Genetics, using ADNI data as a teaching example, Friday Harbor |
Laura Gravelsins | University of Toronto | Surgical menopause; oxidative stress; cognitive decline; neurodegeneration |
Laura Hernandez-Lorenzo | Complutense University of Madrid | machine learning, genomics, bioinformatics, neurodegenerative diseases |
Laura Hillmer | University of New Mexico | vascular dementia, mixed dementia, white matter |
Laura Korthauer | Brown University | norepinephrine, beta amyloid |
Laura Marcela Uribe Vargas | Universidad Pontifica Bolivariana seccional Bucaramanga | Alzheimer, Geometría fractal, Resonancia magnética, Diagnostico. |
Laura Martinez | University of Salzburg | Deep learning, identification |
Laura Martins | Faculdade de Ciências da Universidade de Lisboa | Alzheimer's Disease, CNN |
Laura McQuaid | University of Limerick | survival analysis |
Laura Mora | Emory University | locus coeruleus |
Laura Moreno | UMNG | Alzheimer |
Laura Pinna | Dedalus | AI algorithms cognitive impariment |
Laura Ramos | Universidad Europea de Madrid | DHA |
Laura Rueda-Delgado | Cumulus Neuroscience Ltd. (formerly BrainWaveBank Ltd.) | cognitive decline, linear mixed effect models, group categorization |
Laura Ruiz | Eurecat | Deep Reinforcement Learning, MRI brain images |
Laura Sakalauskaitė | Technical University of Denmark | Alzheimer's Disease, Mild Cognitive Impairment, Prodromal stages, Biomarkers |
Laura Shinehouse | Johns Hopkins University | image upload only |
Laura Wang | BrainAu | AD/MCI, resting-state network, effective connectivity |
Laura Willers de Souza | UFRGS | volumetry; volumetric; sMRI; atrophy |
Laura Winchester | University of Oxford | proteomics metabolomics gene expression |
Laura Wisse | University of Pennsylvania | hippocampus, perirhinal cortex, tau, cognition |
Laura Wright | Newcastle University | Lewy body disease, neuropsychiatric symptoms, mild cognitive impairment |
Laura Zahodne | University of Michigan | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
Laura Zinnel | Iowa State University | deep learning, MRI, Alzheimer's, cortical surface |
Laure ROUCH | Toulouse University Hospital | erythrocyte omega-3; cognition; brain imaging; beta amyloid; tau; hypertension |
Laurel Beckett | UC Davis | Biostatistics |
Lauren Bennett | Hoag Memorial Presbyterian | Alzheimer's disease, diabetes, verbal memory |
Lauren DeLong | University of Edinburgh School of Informatics | multimodal, neurosymbolic, interpretable, biomedical |
Lauren Garcia | Mary S. Easton Center for Alzheimer's Research and Care at UCLA | health equity, cross-sectional survey, recruitment barriers |
Lauren Gibilisco | AbbVie | biomarkers, progression |
Lauren Laboissonniere | University of Florida | voxel-based morphometry, Alzheimer's Disease |
Lauren Mabe | University at Buffalo | Ontology, neurodegeneration, biocuration |
Lauren McCollum | University of Pennsylvania | MCI, AD, non-AD pathology, ATN |
Lauren McCollum | University of Tennessee | Amyloid, Tau, Neurodegeneration, MCI, Alzheimer's Disease |
Lauren Price | Indiana University School of Medicine | Imaging, cognition, genetics |
Lauren Schmitz | University of Wisconsin-Madison | Alzheimer's Disease, smoking, alcohol abuse, polygenic risk scores |
Lauren White | Stony Brook University | PVC |
Laurence Guillon | ISEN | Algorithms, clustering, MRI |
Laurent Chauvin | Ecole de Technologie Superieure | Local Features, Subject Identification |
Laurent Torlay | CNRS | Machine learning, graph theory |
Laurent Vuillon | University of Savoie Mont Blanc | Graph methods, early detection |
Laurent Vuliln | Jedha Bootcamp | Deep Learning MRI scans data science |
laushya senthilkumar | iitm | segmentation, machine learning |
Lav Gupta | dtu | Deep Learning , Research |
Lavanya Ganeshkumar | Bharathiar University | Multimodal fusion, soft computing |
Lavanya Umapathy | New York University Grossman School of Medicine | Deep learning |
Lavender Micalo | VCU | Research |
Lavinia Ferariu | Gheorghe Asachi technizal University of Iasi, Romania | Classification |
Lavinia Sterie | Technical University of Cluj-Napoca | mental disease |
Lawrence Fulton | Texas State University | machine learning |
Lawrence Ho | City University of Hong Kong | Causal discovery |
Lawrence Honig | Columbia University Irving Medical Center | PET MRI |
Lawrence Sweet | University of Georgia | risk, cardiac, health, activity, diet, neurocognitive, aging, neuroimaging |
Lawrence Ver Hoef | University of Alabama at Birmingham | Hippocampus dentation memory |
Laxmi Parida | IBM Research | AD, Machine Learning, WGS |
lay qu | Yanshan University | research |
Layal Bata | Occidental College | Alzheimer's, shape analysis, machine learning |
Layan Nahlawi | AbbVie | machine learning, deep learning, multi-omic, modeling, prediction |
Layan Wahdan | Class Project | cross-correlation, course project |
Layla Dawood | University of Sharjah | dementia, Alzheimer's, machine learning |
Lazaro Sanchez Rodriguez | McGill University | Alzheimer's-induced brain activity effects, RSfMRI, tau protein, amyloid |
Le Hu | ECNU | super-resolution; deep learning |
Lê Linh | University of Engineering and Technology - Vietnam National University Hanoi | deep learning, medical image translation |
Le Shi | Peking University Sixth Hospital | sleep duration; insomnia; sleep disordered breathing; cognition; amyloid |
Le Sy | International University - Ho Chi Min National University | CNN, Alzheimer detection |
LE THANH DAT | BIEL | Deep learning, Medical Processing |
Le Xu | Zhejiang Provincial Center for Disease Control and Prevention | GWAS, genetic risk |
Le Xue | Zhejiang University | metabolic connectivity |
le yang | renmin university of china | AI,ML |
Le Zhang | University College London | progression modeling |
Lea Alhilali | Barrow Neurological Institute | Diffusion tensor imaging |
Lea Baecker | King's College London | machine learning, MRI |
Lea Ben Zvi | The Open Universoty of Israel | classifying fMRI data into several phases of AD |
Lea Hemphill | CSUSB | Alzheimer's disease; APOE4; Anxiety; Depression; Cognitive impairment |
Lea Schulz-Vanheyden | Helmholtz Centre | medical research, active sensing |
Lea Stith | UC Irvine | rsFMRI |
Leacky Muchene | StatsDecide Analytics ans Consulting Limited | Integrated data analysis, |
Leah Abdul-Reda | McGill University | Hormones neurodegeneration |
Leah Tibbets | Non-Profit Independent Research | machine learning, neural networks, technology applications, research |
Leah White | FNIH | admin |
Leandro Coelho | Pontifical Catholic University of Parana | machine learning, fMRI, deep learning. |
Leandro Rodriguez | Universidad Autónoma de Ciudad Juárez | super resolution, sinogram, deep learning, positron emission tomography images |
Leanne Munsie | Eli Lilly | biomarker |
LEBAL Abdelhamid | ensh blida | deep learnin, attention mechanism, neural network |
LEBAL Abdelhamid | ensh blida | deep learnin, attention mechanism, neural network |
Ledwin Belén | UOC | investigar |
Lee Chien-Yi | Brain Navi biotechnology company | AI, image registration |
LEE CHOEL HUI | Korea University | Alzheimer's disease |
LEE EUNJI | Ewha Womans University | 1013 |
LEE GYUBIN | PUKYONG University/Dong-a University Hospital | CNN, GCN, Alzheimer's disease |
LEE GYUBIN | PUKYONG University/Dong-a University Hospital | AI, Machine learning, PET, MRI, CT, prediction, Alzheimer, Parkison |
LEE HUNG-CHANG | National Central University | PCA/ICA/wavelet analysis |
Lee Kaixin | Central South University | machine learning,Disease forecasting |
Lee Lancashire | Cohen Veteran's Bioscience | brain, deep learning |
lee lee | neuroteam | ad,mci |
Lee RF | Beijing Jiaotong University | Deep learning Neural networks Classification Mild cognitive impairment Alzheimer |
Lee sara | A | alzheimer |
Lee seungeun | hanyang univrtsity | bio-deeplearing |
Lee Seungjun | Pusan National University | dementia |
lee sueun | hallym university | data |
LEE TAESIK | Kyungnam University | deep learning, healthcare, VVC, intra prediction |
Lee Tirrell | CorticoMetrics LLC | sMRI, software, big data |
Lee Wang Shen | Singapore Institute of Technology | DTI, MPRAGE, White Matter Changes, Cognitive function, ACE-III, MRI, VBM, FA |
Lee Zhiping | ZJL | MRI;CT; |
Leen Abu Omar | Birzeit University | ADNI, Alzheimer's, deep learning, graduation project |
Leheng Cai | TsingHua University | Censored functional data analysis |
lei Chen | University of Electronic Science and Technology of China | Multi-Task Learning tensor formation |
Lei Du | Northwestern Polytechnical University | Imaging Genomics, Bioinformatics, Machine Learning, Deep learning |
Lei Fan | Vanderbilt University Medical Center | Alzheimer's disease; imidazole propionate |
Lei Fan | Vanderbilt University Medical Center | Alzheimer's disease; medium-chain fatty acids |
Lei Fang | University of Kentucky | functional joint model |
lei gang | Three Gorges University Affiliated Renhe Hospital | Gastrointestinal Diseases |
lei gong | Wuhan University | brain image, genetic feature, pet domain |
lei guo | university of science and technology of china | Alzheimer's disease, deep learning, CNN |
Lei Li | 浙江传媒学院 | 105432@ll |
Lei Man | Nanchong Central Hospital | 0826lei |
Lei Man | Nanchong Central Hospital | MCI ; AD ; application |
Lei Qin | Guangzhou College of Technology and Business | Deep Learning |
Lei Shi | Chinese Academy of Sciences | visualization, visual analysis, comparison |
lei song | 吉林大学 | registration |
Lei Song | Southeast University | brain |
Lei Wang | Washington University School of Medicine | PCA, subfields, deformation |
Lei Wang | Northwestern University Feinberg School of Medicine | PET Hippocampus |
Lei Wang | Xidian university | ridge regression, AD |
Lei Wang | Shanghai Maritime University | Concise data,convenient metholds |
lei wang | China-Japan Friendship Hospital; Peking University | sleep disorders; Alzheimer's disease |
LEI WANG | zhejiang university | dti white matter |
Lei Wang | Shanghai Maritime University | fMRI, functional connectivity, difference |
Lei Wei | Institute of Science and Technology for Brain-Inspired Intelligence, Fudan Unive | cortical morphology, sulcal basins, functional network |
lei xiang | Shanghai Jiao Tong University | MRI reconstruction, deep learing |
Lei Xie | Hunter College | DREAM Challenge |
Lei Xu | Nanjing University of Posts and Telecommunications | modeling disease progression, multi modal, data missing |
Lei Yu | Shanxi University | AD multimodal artificial intelligence |
Lei Zhang | CAS | multi-modal,biomedical |
Lei Zhao | BrainNow Research Institute | Hippocampus, MTA |
Lei Zhu | National University of Singapore | Deep Learning, Image Analysis |
Leighann Kimble | Vrije Universiteit Amsterdam | data sharing, data reuse, open science |
Leila Abdelrahman | Charles E Schmidt College of Medicine | Deep Learning. Medical Image Analysis |
Leila Karbalaee aghazadeh | bam university of medical sciences | "analyzing" "influencing factors" "Alzheimer's disease" |
leili heidaryan | sd | 2 |
Leili Tapak | Hamadan University of Medical Sciences | Alzheimer, deep learning, Hidden Markov models |
leith jendoubi | esprit | PYTHON |
Leiyang Zhao | Shenzhen University | automatic detection of Alzheimer’s disease |
Leiyi yi | BFS | MCI |
Leland Barnard | Mayo Clinic | high throughput PET processing pipeline |
Lele Chen | Nanjing University | fmir, lifestyle, AD, Comorbidity, brain network |
Lele Wang | Anhui University | working on relevant topic |
Lele Wang | Anhui University | Undergraduate thesis writing |
lemin He | Shandong first medical university | AD Brain Network Multimodal |
Lemuel Puglisi | Università degli Studi di Catania | MRI, AI, Machine Learning, CBIM |
Lena Eisel | Mediri GmbH | deep learning, ASL MRI, IQA |
Lena Stempfle | Chalmers University of Technology | Alzheimer, Machine Learning |
Lena Stempfle | Chalmers University of Technology | Alzheimer's, progression, Machine learning |
Lennart Thurfjell | Combinostics | MRI PET disease modelling |
Lennart Van der Goten | KTH Royal Institute of Technology | anonymization, de-identification, MRI |
Leo Duan | University of Florida | disruptivity-base study |
leo lau | Shandong Normal University | fmri white Matter |
Leo Ma | Tsinghua University | Train a predicting model |
LEO XU | University of Shanghai for Science and Technology | Brain network Brain aging |
Leon Aksman | UCL | structural MRI, longitudinal analysis, imaging genetics |
Leon Aksman | USC | test |
Leon French | Centre for Addiction and Mental Health | gene expression |
Leon Mei | LUMC | Machine learning, brainage, corelation |
Leon Sixt | Freie Universität Berlin | Reproduction |
Leonard Wee | Maastricht University | image standardization, deep learning, computer vision |
Leonard Wesley | San Jose State University | MCI, Evidential Reasoning, Machine Learning, Alzheimer's Disease |
Leonardino Digma | University of California San Diego | Tau, amyloid, PET, MRI, GWAS, polygenic risk |
Leonardo Bonilha | Medical University of South Carolina | AD, Epilepsy, Deep Learning. |
Leonardo Iaccarino | University of California San Francisco | dementia, age, clinical progression, MRI, FDG-PET, diagnosis, prognosis |
Leonardo Iaccarino | Avid Radiopharmaceuticals / Eli Lilly And Company | PET,CSF,concordance,positivity |
Leonardo Juárez | Universidad de Guadalajara | Alzheimer Automatic Detection |
Leonardo Santoro | EPFL | PCA, brain-covariance |
Leonel Mera | University of Antioquia | parkison, machine learning |
Leonhard Feiner | Technical University of Munich | Bayesian Deep Learning, Uncertainty Quantification |
Leonie Banning | Maastricht University | Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen |
Léonie Borne | University of Newcastle | Anatomy, structural MRI, cortical sulci, machine learning |
Leonie Koban | CNRS | dementia, structural MRI, VBM, machine-learning, brain signatures |
Leopoldo Cendejas Zaragoza | Summa Health | automatic segmentation, hippocampus, convolutional neural network |
Lequan Yu | The University of Hong Kong | Mild Cognitive Impairment, Deep Learning, multi-modality learning |
Lesbia Lopez | University of Puerto Rico Mayaguez campus | alzheimer |
Leslie Botti | University of Michigan | PET QC search download |
Leslie Gaynor | University of California San Francisco | Biomarkers; Cognitive Aging; Mediation |
Leslie Shaw | Perelman School of Medicine, UPenn | CSF; plasma; MRI; FDG PET; amyloid PET |
Lester Melie-Garcia | Cuban Neuroscience Center | morphological connectivity, graph theory, anatomical connectivity |
Leszek Stawiarz | Karolinska Institutet | Multiple Sclerosis, brain atrophy, gray matter, cortex |
Letian Shen | 北京理工大学 | Research on the Trajectory of Brain Structure Change Based on sMRI |
Leticia Fernandez Moguel | FHNW | Health brain |
Letizia Clementi | Politecnico di Milano | functional data analysis, statistics, neurodegenerative pathologies |
Lev Telyatnikov | Sapienza University of Rome | tadpole dataset |
Levi Yu | UESTC | deep learing |
Lewis Hotchkiss | Swansea University | Neuroimaging, Artificial Intelligence |
Lewis Killin | SYNAPSE Research Management Partners | synthetic data model cohort |
Lewis Shaw | Leeds Beckett University | AI, Machine Learning, interpretable ML, early dementia detection |
ley zhou | BUPT | AI, MRI-Classification, Smart-Health |
Li Aiyuan | Affiliated Hospital of Weifang Medical University | Post-stroke cognitive impairment; [18F]FDG. |
li biao | 天津财经大学 | ANDI |
Li Bingyu | Yantai Yuhaungding hospital | excellent |
Li Chen | University of Washington | Image processing |
Li Chen | Indiana University School of Medicine | GWAS, functional analysis, meta-analysis |
Li Chenping | Central South University | Alzheimer's disease |
Li Fang | Wuhan University | model selection |
LI FANSHI | XIANGTAN UNIVERSITY | MRI,CLINICAL |
LI Fei | anhui medical university | 123456 |
li gang | Northeasten university | AD |
li gaoxuan | hangzhoudianzi university | brain network |
Li Guang | keya medical | GAN super resolution |
Li Guizhen | Southwestern University of Finance and Economics | Causal inference; ADNI; statistics |
Li Hao | The First Hospital of China Medical University | biomarker, deep learning, experiment |
LI HaoQiu | usst | Deep Learning |
li haoyu | Wenzhou University | ADNI ,PD ,AD,DyGNN |
Li Hua | Wuhan University | segmentation |
li Huang | FJTCM | hl981026 |
Li Hui | Harbin Engineer University | research |
Li jialin | Guizhou University | Alzheimer's;object identification |
li jiamin | shanxi university | AD |
Li Jiaming | 重庆邮电大学 | brain science |
Li Jiang | central south university | genetic; Alzheimer's disease; biomarkers |
Li jiani | Northwestern Polytechnical University | AD |
LI jianyu | wuhan university of science and techology | MCI, metabolite, machine learning |
Li Jing Ou | National Sun Yat-sen University | fMRI MRI CT data |
li junhu | computer science and engineering | cs cv alzheimer |
li lei | Zhuhai People's Hospital | wobuxihuangaokeyan |
Li Liang | Harbin Institute of Technology at ShenZhen | white matter network, white matter hyperintensities, AD, MCI, cognitive function |
li liang | HBU | Alzheimer's disease MRI |
Li LiHong | Chongqing University of Technology | Image generation |
Li Lin | Xuanwu hospital | neuroimaging, Alzheimer's disease |
Li Liu | Arizona State University | Biomarker |
Li Liu | Xuanwu Hospital, Capital Medical University | alzheimer disease |
Li Liu | Wuhan University | panel count data, high dimension, subgroup structure |
Li LYU | Shanghai Jiao Tong University | PET/MR AD |
li maomao | 重庆三峡学院 | MBI |
LI MEIMEI | China | adni |
Li mengxuan | Beijing Institution of technology | tt970828 |
Li Minchong | Harbin Institute of Technology | Student project |
Li MingLei | Harbin Institute of Technology | Medical image processing |
Li Mingrui | Guangzhou University of Chinese Medicine | 123456lmr |
Li Mingyang | China University of Petroleum | Alzheimer's disease |
LI Mingyao | City University of Hong Kong | dementia; biomarkers; Alzheimer’s disease; structural MRI; neurodegeneration |
Li Na | Tian University | fmri |
Li Na | Tian University | fmri |
Li Na | Tian University | fmri |
li nanxing | Harbin Engineering University | AD machine learning |
Li Nie | southwest university of science and technology | medical image registration |
Li Pei | Shandong First Medical University | T1 |
LI Peiman | Sichuan Nomal Univercity | rs-fMRI AD 功能连接 |
li qian | 南京航空航天大学 | eeg data Alzheimer's disease radiotherapy |
Li Qian | 安徽医科大学 | ALZheimer disease |
Li Qiyuan | Wuhan University of Science and Technology | AD images, Artificial Intelligence |
li rui | 深圳市第二人民医院 | AD,functional networks |
Li Shanshan | zhejiang Chinese Medical University | Alzheimer's disease |
Li Shen | University of Pennsylvania | Imaging, genomics, biomarker, cognition, data science |
li shimeng | Shangdong University | AD/MD |
Li Shuhao | University of Electronic Science and Technology of China | diagnosis algorithm |
li wang | The University of North Carolina at Chapel Hill | segmentation, registration, classification |
Li Wang | Shandong University | diagnosis,algorithm, benchmark |
Li Wang | Guizhou Medical University | Alzheimer's Disease;PET;MRI;cognition |
li wei | Shandong Normal University | Deep Learning |
li weiwei | Qilu Institute of Technology | face,image,Alzheimer's |
li weiwei | Qilu Institute of Technology | Alzheimer's eyes MRI image |
Li Wenbo | Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences | AD;Changs of brain region |
li wenxin | 北京工商 | 实验 |
li William | JWS-ORG-001 | medical image registration model |
Li Xianglong | Donghua University | Multimodal |
Li Xiaochen | Dalian Minzu University | 特征提取 |
Li xiaoying | Sanquan College Of Xinxiang Medical University | Functional MRI, Arterial Spin Labeling Perfusion Imaging, and Diffusion Tensor |
li xinchen | Nankai University | 03132049798jtbqz |
Li Xinlin | University of Shanghai for Science and Technology | artificial intelligence;Brain network |
Li Xudong | Dalian Maritime University | 13960902383Lh |
Li Xudong | Dalian Maritime University | 13960902383Lh |
Li Xue | Southeast University | Alzheimer’s disease |
Li Xue | 北京理工大学 | 分割 |
Li Xue | University College London | AD cortical thickness |
LI XUELING | shanxi medical university | academic research |
Li Yalei | Yunnan Normal University | 研究 |
li yan | UESTC | FMRI |
li yang | Shandong Normal University | hippocampus segmentation |
li yang | Shandong Normal University | hippocampus segmentation |
Li Ye | University of south China | SNP interaction network; target genes of SNPs |
li yeting | jianghan university | Lyt20021008 |
Li Yisheng | SusTech | 123 |
Li Yong | Xi'an jiaotong University | 大学生 |
LI YONGXIN | Dalian Nationalities University | inph |
li yu | South China University of Technology | deep learning;fMRI |
Li Yue | Dalian university of technology | study |
Li Yue | The First Affiliated Hospital Of Chongqing Medical University | alzheimer's disease |
Li Yuhang | 温州医科大学 | deep learning Alzheimer's disease |
Li YuLin | Shanghai Maritime University | Deep learning, MCI, rs-fMRI |
Li Yuxin | Harbin Engineering University | GWAS;PPI |
Li Zhang | Shenzhen University | imaging genetics |
LI ZHANG | guangxi university | MR,CT |
Li Zhao | Childrens National Medical Center | ADLZ |
Li Zheng | Fudan university | 405delizheng& |
Li Zheyu | Zhejiang University | Alzheimer's disease |
Li Zhihao | Wuhan university | DRL |
Li Zihuan | harbin Institute of Technology Weihai | Missing Data Completion,multi-view |
Li Zixi | JNMC | zixi |
li ziyang | Capital Medical University | deeplearning |
Li-Chu Chien | Kaohsiung Medical University | model selection criterion, generalized estimating equations, the missing longitu |
Li-Ming Hsu | UNCCH | research, machine learning, fucntional connectivity |
Li-San Wang | University of Pennsylvania | Genome-wide association studies |
Liam Fisher | Houghton College | Data, Analysis |
Liam Fisher | Houghton College | Neural Network, Prediction, MRI |
Liam Imadache | ENS Paris-Saclay | image segmentation, machine learning, students |
Lian Tang | Qing Dao University | clusterin |
Lian Yun | harbin institute of technology | science |
Liana Apostolova | IU | AD biomarekrs |
liang beibei | Hebei University | Brain connectivity networks,Alzheimer's disease,fMRI |
liang boxu | hunan university | MR,CT |
Liang Chen | University of Macau | miRNA, biomarker |
liang dong | bupt | AD |
liang dong | bupt | 123456 |
Liang Gong | Chengdu Second People's Hospital | APOE gene; functional connectivity; AD; Aging |
Liang Han | Chongqing University | early detection, MRI, MCI, AD, Artificial Intelligence |
Liang Jiawen | South China University of Technology | 199428+Liang |
Liang Jin | The University of Melbourne | MRI, PET, biomakers, cognition |
Liang Junxin | The First Affiliated Hospital of Zhengzhou University | brain |
liang li | Academy of Military Medical Sciences | Brain age prediction; transfer learning |
Liang Li | The University of Texas MD Anderson Cancer Center | Biostatistics; Data Science; Prediction; Machine Learning |
liang liang | Nanjing University | deep learning for medical application |
Liang Ling | jiangnan university | 13806204379 |
Liang Shi | Nankai University | deep learning, neuroimage, biomarker |
Liang Sun | Nanjing University of Aeronautics and Astronautics | segmentation, classification, brain MR image |
Liang Wei | ShanTou University | APOE4,GCN,brain connectivity regions |
Liang Wenwen | Huazhong University of Science and Technology | MFPCA;Cox regression models |
Liang WU | shandong university | segmentation |
Liang Wu | shandong first medical university | segmentation,registration,diagnosis |
Liang Zhu | University of Texas Health Science Center at Houston | deep learning; Alzheimer’s Disease; Disease progression; Recurrent neural networ |
Liang-peng Lin | National Sun Yat-sen University | statistics, clinical data, imaging data |
Liang-Rui Ren | Qufu Normal University | Quantitative trait loci identification for brain endophenotypes |
Liangchen Liu | the University of Queensland | image processing, medical image analysis |
Liangdong Zhou | Weill Cornell Medicine | AD, biomarker |
Liangjun Chen | University of North Carolina at Chapel Hill | Brain, deep learning |
liangming chen | Lanzhou University | neural network, deep learning, Alzheimer |
Liangpeng Wei | The Affiliated Drum Tower Hospital of Medical School of Nanjing University | Neuroimaging |
Lianhe Zhao | The Institute of Computing Technology of the Chinese Academy of Sciences | AI, multiple modalities |
Lianne Reus | VU medical centre | social withdrawal, polygenic risk, Alzheimer's disease |
Lianqiang Qu | Central China Normal University | qulianq@amss.ac.cn |
Lianrui Zuo | Johns Hopkins University | super-resolution, harmonization |
Lianyu Wang | Soochow University | ROIs segmentation |
Liao Jingjing | Socchow University | None |
Liao Xiaoyu | 上海科技大学 | AD,synaptic,proteomic |
Libby Walton | University of Manchester | Alzheimer’s disease, Machine learning, Deep learning |
Libe Mori | Mondragon Unibertsitatea | academic, image processing, alzeihmer |
Libin Gao | Wenzhou University | data |
Licia Luna | Johns Hopkins Hospital | rs-fMRI AI multi-class classification MCI AD FTD |
Licong Cui | The University of Texas Health Science Center at Houston | Informatics tool, ontology, hypothesis generation |
LIDA KALANTARI | student | brain |
LIDA KAR | TURKYE | ALZHYMER |
LIDA MARY VICTOR | TKM College of Engineering | Diffusion Tensor Imaging,Alzheimer's disease,Default mode network |
Lidan Zheng | The University of New South Wales | APOE, cognitive resilience |
Lidia Mezahem | University of Algiers | Explainable AI (XAI), Machine Learning, White Box, Intelligent Healthcare, Compl |
Lidia Smith | Blinn College | APOE, network analysis |
Lidón Marin-Marin | Universitat Jaume I | progression, conversion, DTI, diffusion |
Lidor Osmo | Technion institute of technology | student |
Liem Nguyen | University of Sai Gon | 3D-Convnet |
Lien Nguyen | University of Florida | AD genetics, repeat expansion mutations |
Lieza Exalto | Julius Clinical | Sex differences, eligibility |
Lifang He | Lehigh University | imaging genomics; deep learning; multimodality; interpretable prediction |
Lifei Zhao | China university of petroleum (East China) | academic |
lifu Liu | Northeast Normal University | sparse group lasso ; clinical data |
Lifu Zhang | CQUPT | image registration |
Lihan Tang | Changzhou University | computer-aided diagnosis, MCI, AD |
Lihan Wang | Beijing Institute of Technology | Alzheimer’s disease,sMRI, Surface-Based Features,BrainAGE,Bias-adjustment |
Lihao Yin | Texas A&M University | Deep Learning |
Lihao Zheng | Hangzhou Dianzi University | nrFsfMtfG8zvR8Ml1HWo |
lihong Chang | Wuhan university | comupter science |
Lihong Tang | Shanghai Jiao Tong University | AD, Fusion |
Lihua Gu | Affiliated ZhongDa Hospital, School of Medicine, Southeast University | Alzheimer's disease |
Lihua Huang | CUHK | test |
lihua wang | Washington University School of Medicine | Genomes6! |
Lihua Xie | Beijing University of Chinese medicine | machine learning |
Lihui Chen | Sichuan University | Academic study |
Liisa Galea | University of British Columbia | APOE, Pregnancy, motherhood, hormone therapy, inflammation |
Lijing Zhao | Tisco General Hospital | Alzheimer's Disease |
Lijuan Da | Zhejiang University | predict; Alzheimer’s disease |
Lijuan Gao | Affiliated ZhongDa Hospital, Southeast University | APOE, DMN, MCI, conversion, AD |
Lijuan Gao | UESTC | deep learning |
Lijuan Gao | NANCHANG UNIVERSITY | Nina021006 |
lijuan jiang | Shanghai Mental Health Center | brain imaging, Cognitive function; Gender difference |
Lijuan Xu | Qingdao unversity | 66nibuzhidao. |
LIJUAN ZENG | Johns Hopkins University | Neuropsychiatric symptoms; Alzheimer's Disease |
lijuan zheng | Zhongda Hospital School of Medicine, Southeast University | brain-gut axis;genetic neuroimaging |
Lijun An | National University of Singapore | ML, AD |
lijun Dong | Zhejiang University | Object Detection |
Lijun Wang | Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine | Alzheimer sleep SMC |
Lijun Zhang | Penn State Univ | PET, T1, T2, fMRI, genetic, SNP |
Lijun Zhou | Shenyang Pharmaceutical University | Genomics; Crosstalk; TGFβ-signaling; Wnt/β-catenin signaling. |
Lijun Zhu | ShenZhen University | Chronic pain, memory deficit, Alzheimer’s Disease Neuroimaging Initiative (ADNI) |
Lijun Zhu | ShenZhen University | Chronic pain, memory deficit, Alzheimer’s Disease Neuroimaging Initiative (ADNI) |
Likai Wang | Zhejiang University of Technology | CT / MRI |
Lili Luo | Capital medical university | Alzheimer's disease cognition blood index |
lili wang | BGI research, BGI-Shenzheng | MCI, prediction model, multi-modality, cognitive function, life style |
Lili Yao | Basic Medical Sciences of Shanxi Medical University | deep learning;Alzheiser's disease;MRI;classification |
Lili Yao | Shanxi Medical University | MRI Alzheimer’s Disease Classification Prediction |
Lili Zhu | Beijing University of Chinese Medicine | PET |
Lilia Lazli | Polytechnique Montreal | CAD system, multimodal images, deep learning, machine learning techniques |
Liliana German-Castelan | University of Western Ontario | Cholinergic system, amyloid beta, basal forebrain |
Liling Tan | Self | Genentech's 404 Challenge |
Lily Green | 西安电子科技大学 | 数据集 |
Lily Hu | Peking Union Medical College | Mendelian randomization, Alzheimer disease, |
Lily LIU | University of MACAU | Deep learning research |
Lily Wang | University of Miami | statistical algorithm, DNA methylation, biomarker |
Lim Wei Lee | Multimedia University | Detecting Alzheimer's disease based on 4D fMRI: An exploration under deep learni |
Lim Wei Lee | Multimedia University | Detecting Alzheimer's disease based on 4D fMRI: An exploration under deep learni |
LIMEI WANG | UNC | lifespan data |
liming fan | xi an jiaotong university | AD fMRI DTI |
Liming Liang | Harvard T.H. Chan School of Public Health | cross-trait analysis, polygenic risk score, multi-omics, MRI imaging |
Lin Chen | Johns Hopkins University | MRI, PET |
Lin Chen | Johns Hopkins University | MRI, PET |
Lin Chen | Chinese Academy of Scie | Alzheimer's Disease Prediction |
Lin Cong | University of California, Riverside | Modal regression |
Lin Cong | University of California, Riverside | Modal regression |
lin fan | Southwest Jiaotong University | CAD, image classification |
Lin Feng | Xiamen University of Technology | medical image segmentation |
LIN GAN | University of Electronic Science and technology | advance disease |
Lin Guo | Shenzhen Zhiying Medical Imaging | MCI, AD, deep learning, feature fusion, curriculum learning |
Lin Hai | JiLin University | Glioma Classification,Deep Learning |
lin haocai | Ningbo University | fMRI, sMRI, Classification |
lin hongping | nanchanghangkong university | GAN |
Lin Hou | Tsinghua University | Correlation analysis |
Lin Hua | University of Macau | AD, functional connenctivity, DTI |
lin huang | shanghai sixth people‘s hospital | dementia |
Lin Jingfeng | University of Electronic Science and Technology of China | DTI |
lin li | Huazhong University of Science and Technology | ll1360693182 |
Lin Li | Qingdao Municipal Hospital | alzheimer's-disease, environment,interaction,Apoe4 |
lin luo | university of malaya | explainable AI, multi-modal data, GNNs |
Lin Meng | Florida State University | Deep Learning, Graph Neural Network |
lin nan | SHOOTOO bio tech | snp |
Lin Qiu | Penn State University | Deep Learning, Bayesian Statistics |
LIN RUNHSIN | Taipei Medical University | biomarker research |
Lin shiwei | Guangzhou Medical University | investigate amyloid; tau pathologies; connectome gradient |
Lin Sun | Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine | Late-life Depression, Dementia, NfL, amyloid β |
Lin Tang | The second affiliated hospital of Chongqing Medical university | radiomic big data model |
Lin Tang | Yunnan University | Alzheimer's disease;classification;multiclass functional logistic regression |
Lin Tun Naing | Asian Institute of Technology | AI, Brain MRI, Alzheimer's Disease |
Lin Xia Yang | Shanxi Medical University | ADNI;patients;clinical assessment |
LIN XIAO | Nantong University | AD |
lin yang | University of Chinese Academy of Sciences | MRI,PET |
Lin Yang | Sichuan Normal University | Alzheimer's disease,imaging,feature |
Lin Yanning | ShenZhen University | doing research |
Lin YI-XUN | NYCU | Alzheimer's Disease |
Lin yuhang | university of electronic science and technology of China | human brain; data analysis |
Lin Zhang | usyd | AD |
Lin Zhang | Xiangya Hospital | risk factors;mechanism;Alzheimer's disease |
Lin zihong | 无 | None |
lina ben salem | epi | alzheimer |
Lina Chato | University of Nevada, Las Vegas | MRI brain images, T1, flair, T2 |
Lina Eisenberg | Hebrew University Jerusalem | cholinergic signaling, cortical thickness, cholinergic miR-SNPs |
Lina Feng | shandong first medical university | alzheimer disease |
Lina Ferrer | Universidad de las Ciencias Informáticas | alzheimer's disease, community detection, detection and diagnosis |
Lina Pan | Wuhan University | Hearing loss |
Lina Ren | Shenzhen Kangning Hospital | prediction model, dementia |
lina wang | Tianjin medical university | AD |
Linah Abuhajar | King Fahd University of Petroleum and Minerals | Alzheimer, PET, MRI, Machine Learning |
Linchen He | New york university | Association test, binomial mixture model, complex disease, genetic heterogeneity |
Linchi Jiao | China Medical University | AD |
Lincoln Shade | University of Kentucky | neuropathology genomics |
Linda Avena | Ludwig Maximilians Universität | blood brain barrier, glymphatic system, ADNI MEM, ADNI Exec, atrophy, MRI |
LINDA MAH | University of Toronto | anxiety, mild cognitive impairment, atrophy, white matter integrity |
Linda Shapiro | University of Washington | MCI, MRI, PET, genetics, demographics, SNP, machine learning |
Linda Zhang | University of Hong Kong, Li Ka Shing Faculty of Medicine | MRI, AD, ethnic brain differences |
Lindsay Conner | University of Central Florida | Adult Development and Aging; Healthy Aging; functional connectivity; structural |
Lindsay Fadel | BAYLOR COLLEGE OF MEDICINE | neuroimaging, Alzheimer's Disease |
Lindsay Kobayashi | University of Michigan | ADRD; biomarkers; mediators |
Lindsay Munroe | King's College London | AD prediction, pre-training |
Lindsey Bishop | UTHealth Houston McGovern Medical School | Normal pressure hydrocephalus, Alzheimer's disease, cerebrospinal fluid |
Lindsey Kitchell | Johns Hopkins University Applied Physics Lab | connectomics, shape, graphs |
Lindsey Sinclair | University of Bristol | depression, Alzheimer's disease |
Lindsey Wells | Indiana University School of Medicine | Cognition; neuroimaging; biomarker |
Line Kuehnel | H. Lundbeck A/S | Disease progression, biomarker, patient staging |
linezp linezp | NANJING TECN UNIVERSITY | research |
Linfang Xiao | Laboratory of Biomedical Imaging and Signal Processing, The University of Hong K | MRI |
Linfantian Linfantian | Anhui University | no |
LINFENG CHEN | sixth affiliated hospital of sun yat-sen university | 3D slicer |
LinFeng Wang | ZhejinagNormal unversity | Eye movement in Alzheimer's disease |
Linfeng Yang | Huazhong University of Science and Technology | competition |
Ling Chen | Zhejianglab | Graph convolutional network |
Ling Da | Ningbo University | machine learning、CS |
Ling Haifeng | University of Science and Technology of China | Diagnosis by using deep learning, personal research study |
Ling Hao Yang | Liaoning Normal Universtity | YLHylh990208 |
ling huang | Université de technologie de Compiègne,CNRS | deep learning , uncertain reasoning |
Ling Li | Wuhan University | hypoxia, MCI, AD |
Ling Lian | First affiliated hospital of Sun Yatsen University | neurodegenerative diseases, Alzheimer's disease, PD, ALS |
LING MA | Nankai University | attention, reception field, contextual information |
ling xu | Tongji University | medical image super-resolution |
Lingcan Cao | Xi'an Jiaotong University | brain network dynamics, default mode network |
Lingchao Mao | Georgia Institute of Technology | machine learning; multi-modality fusion; classification; prediction |
Lingcong Zhang | Hebei University of Technology | Alzheimer’s disease,multimodality analysis,Canonical correlation analysis |
Lingfei He | Tianjin University | brain age predict |
Lingfei Wang | Harbin Engineering university | Alzheimer’s Disease; GWAS; Brain network |
Lingge Wang | San Diego State University | Machine Learning, Cognitive Impairment |
Linghua Wei | China | Prognostic risk factors;Treatment mode;Pathogenic factors |
Lingjie Fan | Sichuan University | MCI,AD,Machine learning |
Lingjie Fan | Sichuan University | MCI,AD,Machine learning,GNN |
Lingjing Hu | Capital Medical University | Texture analyze, VBM |
Lingjue Li | Janssen R&D | PET imaging, biomarkers, longitudinal |
LINGLI ZENG | National University of Defense Technology | cortical surface, morphology, machine learning |
lingli zhang | Jiangsu Province Hospital of TCM | AD。MCI,CN, |
lingling dend | CSU | 2d REHO AD functional activity |
lingling fu | south-central university | research |
Lingling Zhang | Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medic | white matter demyelination;PET/MRI;multimodal imaging |
Lingling Zheng | University of Macau | GWAS, epistatic, GCN, AD |
Linglong Kong | University of Alberta | Alzheimer's Disease Neuroimaging Initiative, Corpus callosum, Fractional Anisotr |
Lingren Kong | Renmin University of China | Semi-supervised pattern analysis;Multivariate;Max-margin classification |
Lingrui Cai | Ann Arbor Algorithms | autoencoder, unsupervised learning, feature extraction |
Lingwen Liu | Northeastern University | AD, deep learning, disease prediction |
Lingxiang Jiang | Taizhou First People's Hospital | Vascular endothelial growth factor; neurogranin; synaptic dysfunction; Alzheimer |
lingxiang Kong | yunnan university | medical image registration |
Lingxiao Luo | Tsinghua University | deep learning; transfer learning; |
Lingxiao Wang | Mayo Clinic | AD biomarker and clinical data |
Lingyan Zhou | The Affiliated Hospital of Qingdao University | Alzheimer |
Lingyi Peng | University of Pittsburgh | structural connectivity |
lingyu liu | Beijing University of Technology | subtypes of Alzheimer's disease |
Lingyu Wu | BGI, shenzhen,china | pilot study |
lingyun liu | 温州医科大学 | AQP4 |
Lingyun Xie | Harbin Institute of Technology | CNN,AD,MRI |
lingzhi hu | UIH America | PET/MR |
lingzhi ma | qingdao university | amyloid |
Lingzhi Tang | LiaoNing university | Alzheimer’s disease (AD) Mild cognitive impairment (MCI) Multi-modal classi |
Lining Pan | Manifest Technologies Inc | Brain-Behavior Mapping, PET, MRI |
linkon chowdhury | East delta university | GO_PEPTIDOGLYCAN_RECEPTOR_ACTIVITY |
Linlin Gao | Ningbo University | longitudinal MRI, convolutional neural network, recurrent neural network |
Linlin Pei | Sichuan University | Deep learning,MRI,EHRs |
Lino Becerra | Invicro | asl, cbf |
LINTA OOMMEN | LBS INSTITUTE OF TECHNOLOGY FOR WOMEN,POOJAPURA | Alzheimers Disease detectiom, Deep learning, MRI |
Linus Chirchir | Swansea University | Machine Learning, Alzheimer's Disease |
Linus Kreitner | Technical University Munich (TUM) | Multimodal, LLM, CDSS |
Linwen Liu | Institute of Basic Medical Sciences of Chinese Academy of Medical Sciences | AD, MRI, fMRI, PET, template, prediction, analysis |
Linxi Meng | Florida State University | longitudinal data analysis, Machine Learning |
linyu kong | Tsinghua University | Alzheimer's Research |
Linzhi Yi | 北航 | segmetation |
Lior Al | Technion | Unsupervised learning |
Lior Greenberg | Israel Open University | student |
Lior Rosen | Inter-Disciplinary Center Herzliya | Alzheimer's, Machine Learning |
Lior Ziv | The open university of Israel | Alzheimers, Hippocampus, Deep learning |
Liora Altman-Sagan | Northwestern University | Alzheimer's disease probability, Bayesian inference |
Liora Mayats Alpay | Chapman University | Alzheimer, statistics. |
Lipeng Ning | Brigham and Women's Hospital | MRI, genetic data, classification |
Lipeng Zhu | JiLin University | laozhu233. |
Liping Jiang | Central South University | Alzheimer's Disease |
liping shi | Hubei Zhinuo Suying Biotechnology Co., Ltd | learn |
Liping Wang | Huazhong University of Science and Technology | inflammation,AD |
Liping Yao | Guanzhou Lab | scientific research, performance test |
Liping Zhao | Emory University | Amyloid, AD |
LiPing Zheng | Fudan University | artificial intelligence, brain diseases |
Liqin He | UCLA | Alzheimer patient's neuroimage, early detection, convolutional neural network |
Liqing Zhu | University of Electronic Science and Technology of China | Deep Learning, Clustering, Typing, Graduation design |
Liron Jacobson | SharpTx | Dementia,cognitive,assessment,risk,factors,decline,cognition, lifestyle |
Lirong Wang | University of Pittsburgh | Alzheimer's Disease, genetic risk, |
lirong wu | Shanghai Jiaotong University | Alzheimer |
Lisa Anita De Santi | Università di Pisa | Deep Learning, CNN, XAI |
Lisa Graves | VA San Diego Healthcare System; UC San Diego | Neuropsychology; risk factors; mild cognitive impairment; Alzheimer's disease |
Lisa Jahan | Bangladesh University of Professionals | Alzheimer's prediction |
Lisa Jahan | Bangladesh University of Professionals | Alzheimer's prediction |
Lisa Jahan | Bangladesh University of Professionals | Alzheimer's prediction |
Lisa Kakinami | Concordia University | cognition; longitudinal; brain atrophy |
Lisa LE SCOUARNEC | CIC 1401 of Bordeaux | predictive model, Amyloid Positivity, external validation |
Lisa Lee | Hoag Hospital | Alzheimer's, women, paid or unpaid work, APOE-e4 |
LISA LUO | CUHK | AD |
LISA MENG | University of Southern California | Data Science, Neuroimaging, Machine Learning, Alzheimer's |
Lisa Nickerson | McLean Hospital | multimodal data fusion, connectivity |
Lisa Ohlhauser | University of Victoria | changes in white matter, diffusion tensor imaging |
lisa patton | Social & Scientific Systems | Proposal |
Lisa Ronan | UCL | GAN, super-resolution |
Lisa Schmierer | Technical University of Munich | Multimodal Deep Learning, State Classification |
Lisa Steyer | Humboldt Universität zu Berlin | elastic regression, square-root-velocity framework |
Lisanne Jenkins | Northwestern | cortical thickness, neuropsychiatric symptoms |
lisha Guo | Hebei Medical University | MRI PET early dementia diagnosis |
lishan li | self | Alzheimer |
Lissett Goncalves | UNSAM | Creación Atlas |
liting han | University Of Shanghai For Science And Technology | analysis |
liting hou | Hebei University of Technology | Alzheimer fMRI |
Liting Shi | Shandong First Medical University & Shandong Academy of Medical Sciences | MRI; Texture analysis; Alzheimer's disease |
Liting Song | Fudan University | biomarker, RNA-seq, Alzheimer's disease |
liu fangfu | Tsinghua University | causal |
liu fei | Tianjin University | r-fmri functional connectivity network machine learning |
liu fei | GUANGXI NORMAL UNIVERSITY | AD |
Liu FuXing | Northeastern University | Alzheimer’s ; MRI ; CNN ; transfer learning |
Liu Ganqiang | Sun Yat-sen University | Brain age; Neurodegenerative Diseases; Aging. |
liu hang | Tsinghua university | apoech |
liu hongli | Beijing university of technology | research,MCI,classification |
liu huan | sichuan university | Artificial intelligence、deep learing |
Liu Jian | Chinese University of Hong Kong, ShenZhen | einforcement learning, hippocampal, Alzheimer |
Liu Jiarui | ChongQing Medical University | AD患者的基因表达差异 |
Liu jiashun | Hebei University of technology | Reinforcement learning madical image landmark detect |
Liu Jingyuan | Changchun University Of Science And Technology | AD,cross-modal |
liu jun | University of Science&Technology,Beijing | AD Classification,Deep Learnig,Multimodal Feature Fusion |
Liu Kaijie | South China University of Technology | Artificial intelligence, semi-supervised learning, multi-modal learning |
Liu Kelan | North SiChuan Medical College | resting-state fMRI, intrinsic brain activity, cognitive reversion |
Liu Leyao | Xi'an Jiaotong University | longitudinal,MRI |
Liu Li | Qing Dao university | inflammasome,Alzheimer’s Disease |
Liu LuoMing | ustc | Deep learning, diagnosis of Alzheimer's disease. |
liu meiru | Beijing University of Posts and Telecommunications | IEEE TRPMS |
Liu Meiyan | Changchun University of Science and Technology | ADNI T1 MCI fMri |
liu meng | fudan university | algorithm |
Liu Michael | National Taiwan University | deep learning for AD |
liu mj | Shanghai Jiao Tong University | AD MRI Classification |
Liu mr | china | PET |
Liu Nancy | UESTC | convertion MCI AD clinic |
Liu Ning | zhejiang Provincial people's hospital | : sliding window, dynamic brain connectivity, static brain connectivity, resting |
liu ning | Hangzhou normal university | Alzheimer's disease MRI deep learning Vision Transformer CNN |
Liu Peng | Yunnan University | AI |
Liu Peng | Yunnan University | Medical image |
liu qian | Beijing Jiaotong University | dynamic functional connectivity; MCI identification |
Liu Qian | Beijing Institute of Petrochemical Technology | coursework |
liu qianan | The University of secience and engineering | AD Intelligent Recognition |
Liu Qide | South West Jiaotong University | Deep learning |
Liu Qinfeng | Shaanxi Provincial People's Hospital | hypertension;cognitivce impairment |
Liu Qinghua | Hainan University | 13606466088 |
liu shuangping | BISTU | computer-aided diagnosis;medical images classification |
liu shulin | Zhongnan University of Economics and Law | Alzheimer Statistics Methods |
Liu Tailai | Chungking University | brain, cortex |
Liu Tao | DongHua University | research use |
Liu tianqi | bj university | qwer123*** |
Liu Tianran | Anhui University | Alzheimer's disease classification, graduation project |
Liu Tongtong | Huazhong University of Science and Technology | soluble TREM2, cerebrospinal fluid, Alzheimer’s disease |
Liu Wei | Wuhan University | multi-modal analysis |
Liu Windsen | Nanchang University | Medical image analysis |
Liu Winsen | No | Study |
liu xi | Henan University | Alzheimer's disease Cerebral hemorrhage |
Liu Xianghe | Xiangya Hospital of Central South University | AD TLE cognitive impairment |
Liu Xiaolong | East China Normal University | MRI, CT, Lesion Segmentation |
liu xin | china pharmaceutical university | Alzheimer's disease;age;gender |
Liu Xinyu | Tongji Univercity | AD, brain science, machine learning, CV |
Liu Xinyu | Tongji Univercity | AD, brain science, machine learning, CV |
Liu Xinyu | Tongji Univercity | AD, brain science, machine learning, CV |
liu xuan | xian jiaotong university | GCN,classification |
liu xuan | South Central University For Nationalities | liu13598688834 |
liu yafei | shandong university | brain three-dimensional reconstruction |
Liu Yahang | Fudan university | variable selection casual inference |
Liu Yajun | SJTU | Deep learning, Alzheimer's Disease |
liu yang | Tianjin University | 异常检测 |
LIU Yang | 中北大学 | Medical Image Fusion |
liu yang | 云南大学 | censored |
liu yansogn | dlnuu | ds |
LIU Yanxia | Renmin University of China | Functional Data Analysis |
liu yicong | WondersGroup | ADNI |
Liu Yilin | ShanghaiTech university | dynamic parametric imaging |
LIU YING | Drum Tower Hospital, Nanjing, China | cognitive decline deseases, MCI, White matter changes |
LIU YING | Drum Tower Hospital, Nanjing, China | cognitive decline deseases, MCI, early diagnosis,treatment, transformation |
liu ying | bupt | research |
liu yuchen | BUAA | Brain registration |
Liu Yujie | University of Electronic Science and Technology of China | signal analysis, MRI |
Liu Zhao | Donghua university | Machine learning |
Liu Zhi-Qiang | Huazhong University of science and technology | snp |
Liu Zhi-Qiang | Huazhong University of science and technology | snp |
liu zhiwen | 华东理工大学 | CNN , Image registration |
Liu ziyi | South-Central Minzu University | Feature representation learning; automated nuclei detection; semi-supervised app |
Liuchang Feng | University of Electronic Science and Technology of China | deep learning |
Liudmila Beziaeva | Nant | deep learning Alzheimer |
Liudmila Mainzer | University of Illinois at Urbana-Champaign | machine learning, artificial intelligence, MRI/PET mapping, biomarker prediction |
Liudmila Morozova | Sechenov University | Alzheimer's disease, APOE gene, e2, e2/e2, e2/e3, e2/e4, trace elements |
liujiameng Thomas | shanghaitech | medical |
LiuJyun Chen | National Taiwan University | Cognitive assessment, dementia, health care |
liuke liang | Guangxi Medical University Cancer Hospital | gxnnllk95 |
Liuqing Yang | AbbVie | Deep learning, progression |
Liuyan Liu | Shaanxi Normal University | research |
LIUYU LIU | 河北医科大学 | 阿尔兹海默症 |
Liuyun Wu | National University of Singapore | Alzheimer's disease, biomarker |
Livia Fernandez | School | alzheimer |
Livia Maria de Rodrigues | University of Campinas | Hypothalamus, segmentation, deep learning |
Livya Jennifer | SNS COLLEGE OF TECHNOLOGY | Alzheimer's detection, deep learning, database. |
Livya Jennifer | SNS COLLEGE OF TECHNOLOGY | Alzheimer's detection, deep learning, database. |
liwei che | The Pennsylvania State University | Federated Learning, Multimodal Learning, Machine Learning |
Liwei Sun | Capital Medical University | fMRI, functional connectivity, graph theory |
Liwen Song | Imperial College London | Machine learning, deep learning, MRI, brain tumour |
Lixia Hu | Shanghai Lixin University of Accounting and Finance | arying-coefficient additive models, Local linear estimators, Tensor product of |
Lixia Tian | Beijing Jiaotong University | dynamic functional connectivity, classification, machine learning |
lixia tian | University of Yunnan | 阿尔兹海默,海马体,PD,AD |
lixiang li | 长春 | non-profit research |
Lixiang Xu | Hefei University | Medical Imaging Process |
lixin gong | Henan University of Technology | fMRI |
Lixin Zhou | Shanghai Jiao Tong University | Alzheimer Disease, Deep Learning |
lixiong Qin | Beijing University of Posts and Telecommunications | 202211 |
LIXUAN SHI | Tsinghua University, China | Deep learning, brain science |
liyan bao | null | null |
Liyang Wan | Beijing University of Posts and Telecommunications | medical image analysis |
Liyao Song | Xi'an Jiaotong university | alzheimer, development of brain |
Liying Zhuang | Zhejiang Hospital | spectrum,vascular risk, APOE, cognition, functional connectivity, |
Liyuan Zhou | UNC | Missing imputation |
Liyun Ma | Qingdao Municipal Hospital, School of Medicine, Qingdao University, | neurodegeneration disease,dementia,alzheimer's,cognitive disorder |
Liyun Tu | Beijing University of Post and Telecommunications | segmentation, alzheimer's, objects classification |
Lizhao Ge | George Washington University | Machine learning techniques, AD progression |
lizhi guo | Tianjin University | social isolation, loneliness, dementia, biomark, imaging |
Lizhuang Yang | Hefei Institutes of Physical Science,Chinese Academy of Sciences | AD;biomarker;dynamic network analysis;Graph neural network |
lizi nailao | 北京理工大学 | SL415369 |
lizihao lizihao | hongqiyiyuan | vascular cognitive impairment |
Lizzie Lee | Telecom | Bioinformatics |
Lloyd Prosser | University College London | PET, Machine Learning |
Lloyd Smith | The University of Nottingham | 197234tL |
Lobna FEZAI | Univeristé de Poitiers | Deep learning, medical imaging, classification |
Lodewijk Brand | Colorado School of Mines | haploview, plink |
Logan Dumitrescu | Vanderbilt University Medical Center | Alzheimer's, genetics |
Logesh Babu | Anna university | ADNI3D |
Logeshwari G | RMK College of engineering and technology | ADNI |
Lohit Jayaprakash | Vellore Institute of Technology, Vellore | Alzheimer’s disease, Magnetic resonance imaging, Convolutional neural networks |
Lok Yi Tai | San Jose State University | MCI, Alzheimer's disease |
Lok-Kin Yeung | Columbia University Medical Center | entorhinal cortex, hippocampus, amyloid, tau |
Lokeshwar Reddy Karra | Amrita School of Engineering | Super Resolution |
Long Dingqi | Zhengzhou University | Classification,machine learning and deep learning,Brain network |
long jia | xuanwu hospital capital medical university | PTSD&AD |
long ting | Nanchang University | asd19981203 |
Long Xiao | SHU | A student |
Long Xie | University of Pennsylvania | Preclinical AD, MRI, deep learning |
Long Xie | Siemens Healthineers | Biomarker, multimodal analysis, machine learning, differential diagnosis |
long yanlan | Sun Yat-sen University | AD |
long ye | 四川大学 | MRI 生物标志物 |
long zheng | guizhouuniversity | datasets,access |
longfei han | Beijing Technology and Business University | disease prediction; GCN |
Longfei Li | Zhengzhou University | Deep learning, Radiomics |
Longfei Zhou | Duke University Medical Center | AT(N), biomarkers, AD, imaging |
Longhao MA | Limpid Medical Imaging Company | fMRI,brain network |
Longjun He | HUST | AD |
Longling Glinda GENG | The Hong Kong Polytechnic University | university research |
longteng longteng | Beijing University of Technology | Alzheimer;data sets |
lopez piña | UNAM | 0JV23 |
Lora Minkova | Univerisity Medical Center Freiburg | functional connectivity, resting-state, MCI |
Lorena Escudero | University of Cambridge | TADPOLE |
Lorenza Vecino | ITBA | MRI scans, Alzheimer, Machine Learning |
lorenzo mandelli | Sapienz uniroma1 | 3D, MRI, CNN, Alzheimer, MCI |
Lorenzo Nigris | LMU clinic | ASL; MRI; Perfusion; AD |
Lorenzo Pasquini | Klinikum rechts der Isar TUM | Hippocampus, intrinisc brain networks, multimodal |
Lorenzo Pini | University of Padova | Brain connectivity |
Lorenzo Rossi | ETH Zürich | Genentech's 404 Challenge |
Loretta Anderson | University of Maryland, Baltimore | APOE, Alzheimer's, Epigenetics |
Lori Cwach | University of Nebraska at Omaha | Disease |
Lotta Ellingsen | University of Iceland | segmentation, deep learning, brainstem, white matter hyperintensities, dementia |
Lotte Mulder | Erasmus Medical Center | Alzheimer's disease |
lou qiongdan | Jiangnan university | academic research |
Louis Dieumegarde | IUSMQ | Database |
Louis Fabrice Tshimanga | University of Padua | sefl supervised learning, deep learning, multimodal, neuroscience |
Louis-François Bouchard | École de technologie supérieure | bayes, memory-based, CNN, deep learning, medical imagery |
Louisa Fay | University Hospital Tuebingen | AI, Deep Learning, Medical image analysis |
Louisa Thompson | Brown University Medical School | Subjective cognitive decline, depression, functional impairment, amyloid PET |
Louise Moreau | Dassault Systèmes | Tractography, diffusion MRI |
Louise Puslednik | University of Sydney | Education and Teaching Correlation |
Loujain Liekah | University Claude Bernarde - Lyon 1 | trajectory Prediction |
Loukas Ilias | National Technical University of Athens | Transformer-based networks, Explainability, multimodal methods, gated multimodal |
LOUKRITIA STEFANOU | aristotle university of thessaloniki | deep learning project |
Lourdes DelRosso | University of California San Francisco Fresno | sleep neuroimaging suprachiasmatic Alzheimer's |
Lovena Chedumbarum Pillay | University of Oxford | MCI, AD, Predictive Analytics, Amyloid |
Lu Bao | Nanjing Normal university | Functional data analysis,FPCA,Block-wise missing data,Data imputation |
lu cheng | Taiyuan Institute of Technology | study |
lu Fan | Shanghai University | medical image classification |
lu hang | ChongQing university | image processing |
Lu Ji | Hunan Agricultural University | CNN, Genomic Selection |
Lu Jiawei | XiDian University | 3D CNN |
lu liu | Nanjing Medical University | Alzheimer's disease Structural MRI |
LU LUO | Yunnan University | Multi-source heterogeneous data |
Lu Men | University of Minnesota | Biostatistics, Biomarkers, AD |
Lu Mengli | Xiamen University | brain segmentation |
Lu Mengli | Xiamen University | brain segmentation |
Lu Michael | East China Normal University | MRI |
Lu Pan | DaLian Medical University | Alzheimer Disease |
lu peiwen | renji hospital | AD;GWAS |
Lu ping | Chongqing University | 15998992276 |
Lu ping | University of Chinese Academy of Sciences | coupling |
lu pinya | Fujian Normal University | ML;diagnosis;prognosis;AD |
Lu Qiu | Shanghai Jiao Tong University | 12345687 |
Lu Tang | University of Pittsburgh | Multi-task learning, factorized model |
Lu Wang | Central South University | structural brain networks |
Lu Wang | University of Toronto | aging, multi-task learning, machine learning |
Lu Wang | University of Toronto | machine learning, multi-task learning |
Lu Xi | the first affilated hosptial of China Medical University | MCI |
lu xiao | Beijing Institute of Technology | Alzheimer's disease,Deep learning , Multimodal fusion , Disease prediction |
lu xiaojin | weifang medical university | L123654. |
lu xinkuan | JiangnanUniversity | multi-model |
lu xinkuan | JiangnanUniversity | Multimodal self-Attention |
Lu Yang | Changchun University of Technology | Deep learning |
lu ym | Southeast University | MRI,image synthesis,Generative Adversarial Network |
lu yu | James Cook University | Convolutional neural network |
Lu yuhong | South-Central Minzu University | 13199658253 |
LU ZHANG | the university of Texas Arlington | brain image, machine learning |
lu zhao | Shanghai Jiao Tong University, China | blood plasma |
Luan Pires | Area1 Wyden | Alzheimer, AI, MRI |
Luana Okino Sawada | Florida International University | Validation/Verification |
Luc Soret | Qynapse | TADPOLE, Longitudinale study, AD prediction |
Luca Giancardo | University of Texas Health Science Centerat Houston | machine learning, longitudinal connectomes |
Luca Heising | Tilburg University | Machine learning, Deep learning, Early detection, Alzheimer's |
Luca Martorano | Tilburg University | AD_Detection - Deep Learning - Optimization |
Luca Presotto | Università degli studi di Milano Bicocca | PET; Dynamic imaging |
Luca Sacchi | University of Milan | Quantitative FDG-PET |
Luca Zhong | University of Amsterdam | Psychiatric disease, fMRI |
Lucas Backes | Uliege university | Master Thesis |
Lucas Bastos | Universidade Federal do Amazonas | TBI, Machine, Learning, database |
Lucas Da Costa | College | Convolutional Neural Network, AD diagnosis, MRI |
Lucas Farina Lima | University of São Paulo | Mobile genetic elements, genetic co-expression network |
Lucas Kruze | Unicamp | MRI, cerebellum, segmentation, reproducibility |
LUCAS LOPEZ | UNIVERSIDAD DE ZARAGOZA | Alzheimer |
Lucas Lukasiak | Preclinical Dementia Data Labs | dementia alzheimer's preclinical mci deep learning machine learning |
Lucas María Pessini Ferreira | Instituto Conci-Carpinella | ADNI python gui alzheimer mcd |
Lucas Pastur Romay | Universidade da Coruña | machine learning, deep learning, artificial neural networks |
Lucas Ronat | Université de Montréal | Alzheimer's Disease, Mild Cognitive Impairment, MRI, Neuropsychiatry |
Lucas Sort | Université Paris Saclay | Longitudinal data, Functional Data, Correlation, Survival analysis |
Lucas Thimoteo | Pontifical Catholic University of Rio de Janeiro | Alzheimer Disease Diagnosis, Explainable Artificial Intelligence, Healthcare |
Lucas Walden | Case Western Reserve University | Alzheimer's Disease, MRI, tau, amyloid, PET |
Lucas Wat | University of Toronto | machine learning, computer science, Alzheimer's disease |
Lucas Werner | Open University of Catalunya | cnn, deep learning, uoc, final project |
Lucca Altomani | Universidade Paulista (UNIP) | Alzheimer |
lucca zenobio | mineria | research |
Luchi Hua | McMaster University | alzheimer, deep learning |
Lucia Batzu | King's College London - Maurice Wohl Clinical Neuroscience Institute | Alzheimer's disease; MRI; neuroinflammation |
Lucia Guerrero | Universidad Nacional de Colombia | Metabolic Network, Alzheimer |
Lucia Hui | NKGen Biotech Inc. | Biomarkers |
Lucia Maddalena | CNR | omics imaging |
Lucia Palazzo | Politecnico di Bari | medical imaging, Image processing |
Lucia Palazzo | Politecnico di Bari | medical image processing, segmentation |
Lucia Piatriková | University of Žilina | neural network, explainability |
Lucía PS | Blanquerna | Cognitive reserve, healthy aging, connectivity, f MRI |
Luciano Ávila | FACIT | alzheimer pet-scan |
lucifer Lee | pia group | 000 |
Lúcio Flávio de Jesus Silva | State University of Maranhão | Alzheimer, ANN, fMRI, Deep Learing |
Lucio Tremolizzo | University of Milano-Bicocca | Alzheimer's disease, cavum septi pellucidi |
Luckyson Khaidem | University at Buffalo | Medical image registration, Deep Learning, Unsupervised Learning |
Lucrezia rambelli | univerista' di roma La Sapienza | ADNI, machine learning, XAI |
Lucy Carolan | Newcastle University | fine art, sculpture, installation, artists' books, sciart |
Lucy Hui | University of Western Ontario | cerebrospinal fluid, similarity network fusion |
Ludi Li | First Hospital of Jilin University | AD VD |
Ludovic Sibille | Siemens Medical Solutions | machine learning, MCI, TBI, PTSD |
Ludovica Maria Amedeo | Universidad de Sevilla | TDA, Connectome, Thesis |
Ludovico Luchetti | University of Siena | Learn Hippocampus Volumetry |
Ludvig Liljeqvist | Chalmers University of Technology | latent, bandits, AI, healthcare |
Ludvig Renbo Olsen | Aarhus University | Federated Learning, Collaboration, Privacy, Deep Learning, Simulation |
lufang lu | North Sichuan Medical College | Correct reference |
lufei feng | wenzhou medical college university | glymphatic system |
Luigi Antelmi | INRIA | joint analysis; biomerkers |
Luis Alberto Antillon Batres | Universidad Autonoma de Ciudad Juarez | Brain tumor, neural network, image processing |
Luis Alberto Souto Maior Neto | N/A | machine learning, normal aging, neurodegenerative diseases, interpretable ml |
Luis Augusto Libório | Unicamp | Computer vision; Deep Learning; Medical image |
Luis Carlos Rivera Monroy | Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) | UCL, Summer school |
LUIS JAÑEZ | UNIVERSIDAD COMPLUTENSE DE MADRID | machine learning, predictive models, SVC, DNN, Alzheimer's disease, |
Luis Jesús Marhuenda Tendero | Universidad de Alicante | TFG |
Luis Medina | University of Houston | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
Luis Miguel Echeverry Quiceno | University of Barcelona | Down syndrome, Morphology, Geometric Morphometrics, Alzheimer disease. |
luis miguel martínez | Universidad de alicante | Adni |
Luis Miguel Mata Ortiz | Universidad Autónoma de Ciudad Juárez | Alzheimer, PET, neural network |
Luis Peraza | IXICO Plc | Amyloid, MRI, volumetrics, longitudinal models |
Luis Rolando Guarneros-Nolasco | Tecnológico Nacional de México Campus Orizaba | machine learning |
Luis Sepulveda | Universidad del Norte | Alzheimer, Minimental, Classification methods |
Luis Vergara | Polytechnic University of Valencia | dynamic modeling, signal processing, pattern recognition, machine learning |
Luisa Schmidt | Carl-von-Ossietzky University Oldenburg | PET, cognition, change over time, Change models |
Luisa Schmidt | Carl-von-Ossietzky Univeristy Oldenburg | PET, Amyloid, Tau, Cognitive resilience |
Luiz Kobuti Ferreira | Karolinska Institutet | Alzheimer's disease, anticorrelation, prediction, functional connectivity |
Lujun Gui | Beijing Institute of Technlogy | AD Classification, Deep learning |
luk maanjam | Harbin Institute of Technology | AD/CBF |
Lukai Zheng | West China Hospital, Sichuan University | Alzheimer's disease, gray matter atrophy, disease progression prediction |
Lukas Arlauskas | Kaunas University of Technology | Machine Learning, Artificial Intelligence, Software |
Lukas Heumos | Helmholtz Munich | EHR, patient stratification, unsupervised learning |
Lukas Pirpamer | Medical University of Graz | FreeSurfer; Atrophy; |
Lukas Reber | Fachhochschule Nordwestschweiz | cognitive ageing predition |
Lukas Toigo | FH Salzburg | GAN, brain, MRI, CT, Synthesis, CycleGAN, CUT, accuracy |
Luke Bonham | Johns Hopkins | Alzheimer's disease, hydrocephalus, ventricular volumes |
Luke Bonham | UCSF | FDG PET, MRI, Neural Network |
Luke Bonham | UCSF | FDG PET |
Luke Christenson | Mayo Clinic | Data, MRI, PET |
Luke Chugh | Northumbria University | Training GANs on ADNI dataset and generating synthetic images |
Luke Chugh | Northumbria University | Alzheimer's, MRI, GANs, Deep Learning, Early Detection |
Luke Evans | University of Colorado at Boulder | epistasis, gene-gene interaction, transcriptome imputation |
Luke Matkovic | Georgia Institute of Technology | magnetic resonance, alzheimer's |
Luke Rasmussen | Northwestern University | replication |
Luke Sagers | Harvard Medical School | deep learning, computer vision, machine learning |
Luke Sagers | Harvard Medical School | deep learning, computer vision, machine learning |
Luke Whitbread | University of Adelaide | Normative modeling, dementia progression, intervention outcomes |
Luke Zhu | Royal Free London NHS Trust | training learning |
Lulita Ria Wandani | Universitas Muhammadiyah Malang | alzheimer's classification |
lulu ding | Sun Yat-sen University | Alzheimer's disease,dynamic, state, temporal variability |
Lulu Zhang | China Pharmaceutical University | Alzheimer's disease |
Lumi XIA | INSA RENNES | Image Quality Assessment, Deep Learning, Numerical Observers |
lumin leng | Zhejiang University | multimodal analysis of neuroimaging about AD |
Luna Buitrago | SUNY Downstate Medical Center | Sphingosine-1-phosphate |
luna lui | China Jiliang University | radiology |
Lunet Yifru | West Virginia University | Dataset |
Lunlun Feng | the First Affiliated Hospital of China Medical University | Multimodal |
Luo Dongxia | Sichuan University | 19950913 |
Luo Fen | South Central University For Nationalities | GAN; MRI |
Luo Ning | Southern Medical University | medical image processing/deep learning |
Luo Sheng | the Beijing Normal University | APOE; T2DM; white matter |
LUO XINYI | ZHEJIANG CHINESE MEDICAL UNIVERSITY | Alzheime AI |
Luo Xubo | dd | for the world |
luo yuansen | huaqiao university | Medical imaging |
luo yufan | Shanghai Fifth People's Hospital, Fudan University | dementia,AD |
LUO Yunying | 上海海事大学 | 阿尔兹海默症的应用 |
Luohuang Wu | Central South University | disease classification, multi-modal learning |
Luoyao Kang | Shenzhen Research Institute of Big Data | image classification |
Luoyu Wang | Hangzhou Normal University | fMRI, Radiomics |
Luping Wang | Heilongjiang University of Traditional Chinese Medicine | GWAS,Alzheimer |
Luru Zhang | Shanghai Maritime University | AD research,nonignorable missing data imputation |
Lushan Wang | Johnson & Johnson | Tau-PET |
Lütfiye Özlem Atay | Gazi University | PET/MR, Alzheimer, Amiloid |
lutong Chi | 南京农业大学 | 这。。 |
luwei hong | Zhejiang University | 192837465 |
Luyan Gu | Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou | perivascular space |
Luyao Wang | USST | Raman spectrum |
Luyi Li | Clemson University | fMRI, functional connectivity, clustering, graph models |
Luyuan Qi | Analytica Laser | cognitive and functional decline |
Luz Sanchez | UAQ | EEE, disorders related to memory loss |
Lv Mengye | Shenzhen Technology University | deep learning, reconstruction |
lv qingdong | Shanghai Maritime University | Alzheimer's disease,AD |
lv qj | sysu | study |
Lv Xiaochen | Nanjing University | Carotid artery stenosis;Cerebral small vessel disease;Cognitive impairment;Revie |
Lv Yanchen | fudan university | venous circulation system, AD, SWI |
lvjun guo | Tsinghua university | AD, SNP |
Lw Huang | NWPU | 20153020 |
lxs l | uestc | bme |
ly z | ECJTU | AD,scRNA-seq,scientific research |
Lydia Fozo | APL | Connectome, Biomarkers |
Lydia Gillan | North Carolina State University | Learning, data anlysis |
lykwong yang | UESTC | ylG1818943 |
Lyndsay Yang | China Medical University | mendelian randomization analysis, AD |
Lynnette Zuo | Beijing University of Chinese Medicine | GWAS |
Lyrikah Rodrigues | Stony Brook University Leung Lab | Amyloid, tau |
Lyssa Manning | Massachusetts General Hospital | alzheimer's neurodegeneration sex differences tau |
Lyu Minrui | Shenzhen Second People's Hospital | MCI machine learning |
Lyubomir Zagorchev | ClearPoint Neuro | segmentation, brain, modelling |
Lyujian Lu | Colorado School of Mines | Missing Data, alzheimer's disease |
M Awais Ahmad | Bahauddin Zakriya University, Multan | BraTs, ISLES, Deep learning, Semantic Segmentation |
m elgeneedy | mansoura university | كل اسبوع يوم جمعه |
M l | Chengdu University of Information Technology | AD; MCI; fMRI; machine learning |
M M | Technion | Cancer |
m m | no | brain |
m nosouhi | University of Isfahan | deep learning, fMRI |
M RUDRA TEJA | Madanapalle Institute of Technology and Science | I need MRI images of Alzheimer's disease people |
M S Bhargavi | Bangalore Institute of Technology | Alzheimer's Disease, Blood biomarker, dementia, machine learning |
M sy | 中南民族大学 | research |
M T | 中南民族大学 | 毕业论文 |
m w | scu | 12345678 |
M xuan Yang | University of Science and Technology Beijing | academic research |
M'hamed Bentourkia | University of Sherbrooke | Alzheimer; MCI; Beta amyloids; Tau; Imaging; Samples; |
M. Asjid Tanveer | National Center of Artificial Intelligence | deep learning |
M. Maria Glymour | UCSF | Friday Harbor; psychometrics; cognitive reserve; using ADNI data as a teaching e |
M. Rahman | ISRT, University of Dhaka | prediction, penalized methods, bias reduction, classification |
M. Sohel Rahman | BUET | Machine Learning |
M. TANVEER | Indian Institute of Technology Indore | Alzheimer disease, machine learning |
Ma Chaoran | Changzhou University | fMRI Beginners |
ma han | East China University of Technology | computer vision |
Ma Junchi | Hangzhou Dianzi University | fMRI functional connectivity |
ma lan | shanghai 10th people's hospital | ml000777 |
Ma LianHong | Nanjing University of Information Science & Technology | MRI |
Ma Ma | xinjiang | causal discover |
MA MARCO | XDU | 3DCNN |
MA MARCO | XDU | 3DCNN, Image fusion |
MA Mingchen | Wuhan University of Technology | deep learning model;PET of the Brain |
Ma Mingming | Hebei University of technology | Xiaomu_99 |
Ma Mingrui | Jilin University | registration |
MA PEI XIAN | JiNan University | multimodal |
ma shihao | zhengzhou university | academic research |
Ma Weiye | Central South University | 19048623885 |
Ma Xing | Shaanxi Normal University | Alzheimer's disease MRI Convolutional neural network |
Ma yuju | QingDao university | neurology,Alzheimer disease |
ma yupei | shenzhen hospital | T1-mprage |
ma zerui | mzr | AD |
Maame Gyamfua Asante-Mensah | Skoltech | Neural Networks, Classification |
Maarten Kollenstart | TNO | Privacy Preserving AI, Artificial Intelligence, Data Sovereignty |
Maartje Meijer | IXICO | ADNI, Radiologist Training, IXICO |
Mac Gayver Castro | University Center Christus | Alzheimer disease, imaging, algorithms |
Maciej Brasewicz | Uniwersytet Szczeciński | Alzheimer |
Maciej Buciński | University of Adam Mickiewicz | Neuroimaging, Deep Learning, Data Science, Machine Learning |
Maciej Dulewicz | Medical University of Białystok, Poland | AD |
Maciej Grzelczyk | Polish-Japanese Academy of Information Technology | AD, MRI, Symptoms, comparison, images, |
Maciej Kos | Northeastern University | cognition, cognitive tests |
Maciej Plocharski | Aalborg University | Cortical sulci, cortical thickness, MRI, AD, MCI |
Mackenzie Carlson | Stanford University | amyloid tau pet mri |
Mackenzie Smith | Jacobs School of Medicine and Biomedical Sciences (University at Buffalo) | Translational imaging, neurological disorders, clinical imaging database |
Madalina Fiterau | University of Massachusetts Amherst | Alzheimer’s disease; trajectory modeling; medical imaging; multimodal fusion; de |
Madan Kumar Reddy Moole | Sastra University | EEG,Alzheimers |
Madeleine Werhane | University of Washington | Vasular risk; MCI; genetic risk |
Madeline Farron | University of Michigan Medicine | Neuroimaging, Alzheimer's Disease |
Madeline Hooten | Arizona State University | Structural Volume Analysis |
Madeline McNult | University of Virginia/IQVIA | Research, Technology |
Madelyn Cruz | University of the Philippines | Graph Theory |
Madhav Chaudhary | Coventry University | Deep Neural Networks, Alzheimer's, Machine Learning, Data Science |
Madhukar Dwivedi | International Institute of Information Technology, Hyderabad | Alzheimer disease, MCI, |
Madhumangesh Wad | FutureBridge | chronic inflammatory demyelinating polyneuropathy (CIDP) |
Madhumitha A | St. Joseph's College Of Engineering | Detection of Alzheimer's Disease using 3D CNN |
Madhumitha Arul | Lakehead University | Dementia, Deep Learning, CNN, DQN model, AI techniques, Alzheimer's |
Madhumitha Baskaran | st.joseph college of enginerring | AD, biomarkers |
Madhuri Unde | Shri Vaishnav Vishwavidyalaya Vidyapeeth | Alzheimer, LSTM, RNN |
MADHUSUDHANA S | ChirayuIT | Dataset |
Madison Honey | Amsterdam UMC | Prognosis, Plasma, Biomarker |
Madison Petersen | univ south carolina | all |
Madison Raposa | Boston University | occupations, TBI outcomes, cognition |
Madjoub Hamdi | Washington University in St. Louis | PEt/MRI, Attenuation correction, AD |
Mads Reinholdt Sørensen | Novo Nordisk | feasibility biomarker |
Madushanka Soysa | OmniTier Inc | variant calling, pcr duplicate removal |
maedeh fasihi | ucf | machine learning, classification, pattern recognition |
Mafalda Oliveira | Faculdade de Engenharia da Universidade do Porto | Alzheimer, volumetry |
Magdalena Dumitru | University of Bergen | brain structure cross-validation |
Magdalena Machnicka | University of Warsaw | regulatory variants, early-onset Alzheimers disease |
Magdalena Reinelt | Fraunhofer Institute for Integrated Circuits IIS | personalized medicine, therapy response evaluation, clinical decision limits |
Maged Taema | unemployed | UCL |
Maggie Pui Man Hoi | University of Macau | Primary healthcare data, machine learning, Prediction of cognitive decline |
Magnolia Ariza-Nieto | epIAWELL LLC | epigenetics, personalized, early diagnostics, obesity, metabolism, liver |
Magnus Justesen | Aalborg University | Alzheimer's disease, artificial intelligence, neural network, MRI, PET |
Magnús Magnússon | University of Iceland | Brainstem, pons, midbrain, medulla oblongata |
Maha Alshammari | King's College London | FCD, Epilepsy, FDG-PET, AI, Diffusion models |
Maha Alwuthaynani | University of Bristol | deep learning, transfer learning, Machine learning, medical images,Alzheimer's |
Mahadevabharath Somayaji | GSK | AD, Alzheimer, neurological, dementia |
Mahammadarif Kasab | JSS SCIENCE AND TECHNOLOGY UNIVERSITY | Detection, FPGA, Alzheimer's |
Mahanand Belathur Suresh | Sri Jayachamarajendra College of Engineering | AD,MCI |
Mahbaneh Eshaghzadeh Torbati | University of Pittsburgh | T1-w MRIs, Scanner protocols |
Mahboubeh Madadi | San Jose State University | Machine learning, Alzheimer's |
Mahda Nasrolahzadeh | Hakim Sabzevari University | Alzheimer's disease, Deep Learning |
Mahdad Esmaeili | Tabriz University of Medical Sciences | image processing |
mahdi asadolaahi | kermanshah university of medical science | ADAS, various neuropathological subgroups of Alzheimer’s |
Mahdi Baccar | ENIT | MRI Images, Deep Learning, Image Preprocessing, Classification |
mahdi bakhshi | iran | brain |
Mahdi Khaledian | Gilan University of Medical Science | Alzheimer's disease, MRI , AI |
Mahdi Marcus | University of Cape Town | neuroimaging, neural network, sparse, autoencoder, clustering |
Mahdi Moghaddami | Oakland University | Alzheimer's Disease, Machine Learning, MCI |
mahdi molavi | tarbiat modares | big data, fMRI, Tensor learning, tc-SVD |
Mahdi Nazernejad | Jahrom University | deep neural networks, articles, review datasets |
Mahdi Rahbar | Saint Louis University | Neural networks, Deep Learning, Alzheimer Prediction, MCD Prediction |
mahdi shariatzadeh | shahid bahonar university | siamese |
Mahdi Tahvilian | Ahvaz Jundishapur University of Medical Sciences | Alzheimer's Disease and gray matter |
Mahdieh Behjat | Iran University of science and technology | Alzheimer desease detection prevention |
Mahdieh Behjat Khatooni | Iran University of science and technology | Alzheimer desease detection prevention |
mahdieh saeidi | IUMS: Iran University of Medical Sciences | novel data,psychiatry,AD |
Mahdis Khodadadi | Hamedan University of Technology | digital imaging process, MATLAB, Alzheimer's |
Mahdiyeh Bakhshi | Shahid Bahonar University of kerman | 1q2w3e4r |
mahdiyeh bakhshi | Shahid Bahonar University of kerman | Transfer learning |
Mahdiyeh Erfanian | Ferdowsi University of Mashhad | statistics. SPC, profile monitoring |
Mahed Dadgostar | MISP_mui | fmri nifti |
Mahek Laul | Stony Brook University | alzheimer’s, cerebral organoids |
Mahender Reddy sheri | Otto friedrich university of bamberg | Spectral, alzheimer, ann, swarm intelligence |
Mahender Singh | National Brain Research Centre | Machine Learning, Ageing |
Mahesan Niranjan | University of Southampton | Metric Learning, Texture Analysis, Image Clustering |
MAHESH KHADATARE | Matoshri college of engineering nashik | ADHD, EEG, Motory action |
Mahesh Kumar S V | Bharath Institute of Higher Education and Research | Alzheimer's disease |
Mahesh Samtani | Janssen R&D | CDR-SB |
Maheshi Dissanayake | University of Peradeniya | Alzheimer , MRI |
mahi chandrakar | nit raipur | dep learning |
Mahima Rabbi | BRAC University | FTD, alzheimer |
MAHIMA SRIVASTAVA | VELLORE INSTITUTE OF TECHNOLOIGY, VELLORE | deep learning |
Mahima Thakur | SRM | Alzheimer's, Convolutional Neural Networks, fMRI |
Mahinour Ahmed | Faculty of science | Access to data |
Mahipal Jadeja | Malaviya national Institute of Techology Jaipur | Graph Neural Network |
Mahirah Samah | Texas A&M University | statistics, analysis, undergraduate |
mahmood sadr | university | 13773309 |
Mahmoud Abdelaziz | Zewail City of Science and Technology | Alzheimer's - MRI - PET - Machine learning - regression - classification |
Mahmoud HASSAN | Rennes University | EEG; Dysfunctional Brain networks; |
mahmoud navaser | Tehran University of medical science | deep neural network, mri |
Mahmoud Noor | none | Graduation Project |
Mahmoud Omidbeigi | Northwestern University | olfaction, smell |
Mahmoud zaher | zagazig university | Computer vision , AI |
Mahmut Edip Gurol | Massachusetts General Hospital | CAA, cortical thickness, controls, AD |
Mahnaz Nakhaei | Department of Clinical Psychology | ahmad4345 |
Mahnaz Shekari | BBRC | FDG PET, Amyloid |
Mahnoor Iftikhar | Ghulam Ishaq Khan Institute of Engineering Sciences and Technology | StoCast |
mahrooz roozbeh | shahid beheshti university | cognitive |
mahsa bagheri | tehran shomal uni | pet mri |
Mahsa Dadar | McGill University | small vessel disease, white matter hyperintensities |
Mahsa Dolatshahi | Washington University in Saint Louis | Obesity, Diffusion Tensor Imaging |
Mahsa Ghorbani | Technical University of Munich | graph convolutional networks, node classification, prediction |
Mahsa Mayeli | Tehran University of Medical Sciences | PET score, DTI, AD |
Mahsa Mohammadpour | Tehran University of Medical Sciences | Alzheimer‘s disease developement |
Mahsa Pourhossein Kalashami | University of Liecester | machine learning |
mahsa shahrbabaki | tehran university | pet/ct |
Mahshid Hadipour | Isfahan University Of Technology | segmentation, classification, Alzhiemer's Disease |
Mahshid Naghashzadeh | Washington University in St Louis | KNN, Alzheimer's |
mahtab bigverdi | sharif university of Technology | diagnosis method dataset |
Mahtab Mojtahed zadeh | University of Toronto | #Alzheimer's disease #ICD |
Mahtab Nur | Islamic University of Technology | Alzheimer's Disease Classification, Clinical Data, Neuroimaging Data, MRI,MMSE, |
Mahya Mousavi | university of Zanjan | dictionary learning-segmentation |
Mahyar Mohammady | University of Tehran | Disease, Prediction, Artificial intelligence |
Mahzad Gharleghi | Technische Universität Ilmenau | EEG, Alzheimer's disease, |
Mai Bui | HCM Open University in Vietnam | Machine learning in medical image |
Mai Elkazaz | Zagazig University | may |
Mai Ho | University of New South Wales | Normative Modelling, Alzheimer's Disease, Neuroanatomical Heterogeneity |
Mai Naikeng | Guangzhou Brain hospital | connectome, machine learing, neuron network |
Mai Nguyen | University of Hull | hippocampus |
Mainak Chakraborty | Nitte Meenakshi Institute of Technology | CNN , Alzheimer's, MRI |
Maira Santana | Federal University of Pernambuco | Biomedical computing; dementia; diagnosis; teaching |
maissa ben soussia | UNC | PET |
Maissa TAKTAK | National School of Electronics and Telecoms of Sfax | Research academic project |
Maite Gandia | IIS La Fe | Artificial Intelligence |
Maite Termenon | Mondragon University | fMRI, Alzheimer, biomedicine |
Maitha Alarjani | King Faisal University | Alzheimer's disease, brain Signals, Deep learning, Machine learning, CNN |
Maitha Alarjani | King Faisal University | Alzheimer's disease, brain Signals, Deep learning, 3D-CNN, Neuroimaging |
Maitrei Kohli | University College London | Ensemble learning, meta-model |
Maitrey Phatak | Atharva College of Engineering | Machine Learning, Data analysis, alzheimer detection |
Maja Nikoloska | University of Ljubljana | machine learning, alzheimer’s disease |
Majid Mangolikhan | Pasteur Institute | Alzheimer's disease diagnosis; CNN; classification; deep learning; imaging genet |
Majood Haddad | University of Oklahoma | Mentored Research |
Makaela Purcell | University of Virginia | anatomy, speech, communication |
Makayla Gibson | University of South Carolina | aging, methods, neuroimaging |
Makenna McGill | The University of Texas at Austin | traumatic brain injury, brain age, diffusion tensor imaging, cortical thickness |
Makiko Taira | Tohoku Medical Megabank Organization, Tohoku University | structural MRI, DTI, GWAS, polygenic |
Makoto Ishii | Weill Cornell Medical College | biomarkers, metabolic hormones, preclinical |
MALAVIKA G | kumaraguru college of technology | disease, machine learning, data science |
Malavika P R | Cochin University of Science and Technology | PET scan of brain, Amyloid plaques, Alzheimer's, Dementia |
Maleeha Kaikaus | Jahangirnagar University | Alzheimer |
Maleika Heenaye- Mamode Khan | University of Mauritius | AI, image processing, research |
Malek Abazari | Hamedan University of Medical Sciences | Competing Risk, Survival Analysis |
Malena Alvarez Rottemberg | Instituto Tecnologico de Buenos Aires | Metabolic Connectivity, MRI, PET |
Malihe Rezaee | shahid beheshti university of medicine | CSF, Alzheimer, ANDI |
MALIK HYDER ALI | CENTRAL UNIVERSITY OF JAMMU | ADNI,AD,MACHINICE LEARNING,NEURO FUZZY LOG |
Malin Bjornsdotter | Sahlgrenska University Hospital | stroke, epilepsy, aging |
Malinda Vania | Ulsan National Institute of Science and Technology | postdoctoral deep learning |
Mallory Feldman | UNC-CH | Interoception, Emotion, Allostasis |
Mallory Hacker | Vanderbilt University Medical Center | PDRP, PDCP, ADRP, FDG-PET |
Maloof Basihir | Lovely Professional University | Alzhemier, Machine Learning , CNN |
Malte Hoffmann | Martinos Center | longitudinal morphometry Freesurfer |
Malu G | Digital University Kerala | AD, circular mesh based shape and margin descriptor |
Mampu Biswas | Amrita Vishwa Vidyapeetham | Mampu |
mamta mamta | university of waterloo | cnn, RNN deep neural network |
Man Ga | IMM | 4327050Ho |
Man Liu | Chengdu University of Information Technology | graduation thesis |
Man su Kim | University of Pennsylvania | Imaging genetics, association, integration, deep learning |
man sun | Central South University | causal effects |
man xu | bupt | CV MRI |
man xu | bupt | CV MRI |
Manaal Fatima | Pakistan Institute of Engineering and Applied Sciences | Alzheimer’s Disease Neuroimaging Initiative (ADNI) |
Manabu Ishida | Shimane University | MRI, Machine Learning, |
Manal Alnosh | GIST | Alzheimer's disease,EEG |
Manami OYAMA | not applicable | not applicable |
manar IBRAHEEM | DSTI | ADNI, Exploraatory |
Manas Bam | Bethany High School | Std 11 student, passionate, classify, early detection, community helping |
Manash Sarma | MSRUAS | Genome, genetics |
Manasi Marathe | D J Sanghvi College of Engineering | Machine Learning, Early detection, Alzheimer's Disease, Biomarkers |
manav malaviya | ifhe | Dementia, Machine Learning, CNN |
MANCHAO ZHANG | Auckland University of Technology | Explainable Deep Learning Methods for Alzheimer's Disease MRI Classification |
Manchumad Manjavong | Khon Kaen University | Dementia, neurobiomarkers |
Mandeep Singh | Guru Nanak Dev University | Alzhemiers |
mandy tang | hkust | Alzheimer's disease |
Mang-Keun Oh | Yonsei University Health System | PET & MRI |
Mangal Ambi | D.Y.Patil.International.University,Pune | Alzheimer, Parkinson, Brain , Neurodegenerative |
Mangesh Kose | National institute of technology Raipur India | EEG |
Mango Zhang | University of Science and Technology of China | β-amyloid tau |
Manikandan Narayanan | IIT Madras | Causal Discovery, Mendelian Randomization, Genetic Risk Scores |
Manikya Bardhan | PES University | machine learning, deep learning, transfer learning |
Manish Amin | University of Florida | fMRI, DWI |
Manish Narnaware | Walchand College of Engineering | Dementia Informatics |
Manish Pal | Dublin Business School | Deep learning, Dataset, Dissertation |
Manish Paranjpe | UCSF | Alzheimers, gender differences |
Manisha Chaudhari | Government Polytechnic Gandhinagar | Research |
Manisha Garasiya | GTU | Classification, detection |
Manjari Narayan | Stanford University | fMRI, tadpole challenge, machine learning |
manju jain | Guru Gobind Singh Indraprastha University | sMRI,Brain atrophy, machine learning,SVM,CNN |
Manjuponmathi Mahadevan | Optigene Private Limited | Disease Progression |
Manli He | Hunan Technology and Business University | Bayesian |
Manlio De Domenico | Universitat Rovira i Virgili | Multilayer networks |
Manmeet Singh | San Jose State University | deep learning, gan, image analysis, masters project |
Manni Zhang | Purdue University | data fusion, directed graphical model, group lasso, progression, diagnosis |
MANOCHANDAR T | Hindustan Institute of Technology and Sciencs | Alzheimer MR image |
Manoj Reddy | GITAM UNIVERSITY | NOPE |
MANOJ SHARMA | Amity University, Rajasthan | Epilepsy, seizure, electroencephalogram (EEG), Spectral analysis, Preictal, Inte |
manojkumar saranathan | University of Arizona | thalamic nuclei, MP-RAGE, MCI, AD |
Manolis Kellis | MIT | Alzheimer's, Schizophrenia, Machine Learning, Deep Learning |
Manon Ansart | university of Burgundy | machine learning, automatic diagnosis |
Manon Edde | University of Sherbrooke | Progression disease, Diffusion measures |
Manop Phankokkruad | KMITL | Deep Learning |
Manouchehr Seyedi Vafaee | The University of Southern Denmark | AD, Haalthy subjetec, PET, MRI |
Mansi Singhal | University of Calgary | Brain MR |
Manson Cheuk-Man Fong | The Hong Kong Polytechnic University | Aging, brain age |
Mansoor Ahmed | Lahore University of Management Sciences | Neuroimaging, CSF biomarkers, Early-onset Alzheimers, Genetic biomarkers |
mansooreh mofakham | karan | Alzheimer recognition |
Mansooreh Pakravan | tarbiat modares university | deep learning - 3D segmentation - MRI images - Alzheimer |
Mansour Ebrahimi | Adelaide University | Alzheimer, bioinformatics, data-mining, prediction |
Mansoureh Esmaeili | Abrar University | Alzheimer's disease; Artificial Intelligence; Computer Aided Diagnosis |
Mansu Kim | Gwanju Institute of Science and Technology | imaging genetics, deep learning |
Mantas Bandonis | Johannes Kepler University | labadiena |
Manu Goyal | Washington University School of Medicine | ADOPIC |
manu v | student | alzheimer's |
Manuel A. Vázquez López | Universidad Carlos III de Madrid | deep learning, cnn, rnn |
Manuel Huerbin | MIAC AG | Morphometry |
Manuel Jorge Cardoso | KCL | Synthetic Data, Longitudinal |
Manuel Lazo | University of Seville | alzheimer,DSP,bioengineering,medial image analysis |
Manuel Lentzen | Fraunhofer SCAI | mixed-effect models, latent disease time |
Manuel Medrano | Tecnológico Nacional de México campus Culiacán | Forecasting, disease, brain. |
Manuel Pfeuffer | Humboldt University of Berlin | shape regression, image regression, geometric deep learning |
Manuel Tognon | Università degli studi di Verona | SNP effect prediction, Alzheimer's disease, imaging genetics |
Manuela Dorado | University of Washington | theta activity, virtual navigation, place cells |
Manuela Lesch | Calyx | amyloid PET scans |
manuele novello | erasmusmc | AD |
Manvi Diwakar | Indian Institute of Technology BHU,Varanasi | Alzheimer disease prediction using machine learning |
Manyang Shi | Xi'anJiaotong University | T1,DTI |
Manyi Liu | Beijing Institute of Technology | Machine Learning, MCI,fMRI |
Manyue Hu | Imperial College London | brainimaging, genomics, pathological patterns |
Manzhi Hong | SUN YAT-SEN UNIVERSITY | study |
Mao Guangjuan | The Institute of High Energy Physics of the Chinese Academy of Sciences | learning; download data |
MAO LUN HUANG | National Chiao Tung University | 951258 |
mao mao | Beijing Technology and Business University | DTI |
Mao Nannan | Dalian Maritime University | ADNI-1,ADNI-GO,ADNI-2,ADNI-3 |
Maomin Qian | University of electronic science and technology | deep learning, biomarker |
maoni jia | School of public health | cognitive trajectories; machine learning;prediction |
Maowen Ba | Yantai Yuhuangding Hospital | rpAD;Prevalence;Biomarker |
maoxin shen | 上海大学 | 科研 |
maoyuan ren | KingmedDiagnosis | biomarkers, diagnosis |
maozhou chen | KUST | ad,fmri,dl |
Maqsood Yaqub | Amsterdam UMC | PET, amyloid, AI |
Mar Estarellas Garcia | University College London | Alzheimer, data-driven model, lifestyle |
Mara Mather | University of Southern California | depression, prefrontal |
Mara Ramirez Ruiz | Howard University | Inflammation Hispanics Cognitive Performance Sleep |
Maral Mousavi | University of Southern California | Biomarker Levels, Machine learning, Point-of-care Diagnostics |
maram motab | King Abdulaziz University | MRI |
Marc Benayoun | Wake Forest Baptist Health | convolutional neural network, AI |
Marc Beyer | German Center for Neurodegenerative Diseases | AD, Omits, imaging |
Marc Haut | West Virgnia Univesity | ultrasound |
marc joliot | Institute of degenerative deaseases | fMRI, dMRI, small vessel deasease |
Marc Khoury | St. Michaels Hospital | Neuroscience, Dataset, Biomarkers |
Marc Modat | King's College London | Scanner upgrade, MRI, Structural |
Marc Quesnel | Douglas Mental Health University Institute (McGill University) | Alzheimer's disease, Pre-symptomatic, longitudinal |
Marc Rudolph | University of North Carolina Chapel Hill | fmri, cognition, MCI, AD |
Marc Salat Vilardaga | Universitat de Barcelona | Cross section, amyloid PET, fMRI |
Marc Weinberg | Massachusetts General Hospital | ApoE2 ApoE4 biomarkers |
Marc Zoon | Vrije Universiteit Amsterdam | AI DDIM denoising diffusion model |
Marcel Kollovieh | Technical University of Munich | Classification, Interpretability, MRI, PET-MRI, GANs |
Marcel Seungsu Woo | University Medical Center Hamburg-Eppendorf | neuroinflammation, biomarker, proteomics, neurodegeneration |
Marcel Verbeek | Radboudumc | CAA, diagnosis, CSF, plasma, microbleeds, superficial siderosis |
Marcela Cespedes | CSIRO | Cognitive accelerators and non-accelerators, AD disease sigmoid modelling |
Marcella Montagnese | University of Cambridge | dementia, artificial intelligence, precision medicine |
Marcelo Febo | University of Florida College of Medicine | fMRI, connectome, networks, neural nets |
Marcelo Lopes | ESIREM | Tadpole Challenge,ADAS cog |
Marcelo Ruan Moura Araújo | Federal University of São Carlos | Biomedical engineering, Image Processing and Medical Image Processing. |
Marcelo Soares | IETEC | alzheimer |
Marcia Godoy | Saint Malo Science | machine learning, neurological desorders |
Marcia Gordon | Michigan State University | senescence, CDKN2A, microglia |
Marcin Elantkowski | Roche | missing data, machine learning |
Marcin Radecki | IMT School for Advanced Studies Lucca | Machine learning; sex; health; disease; brain |
Marco Aiello | Fondazione SDN | Diaschisis, PET, MR, connectome, brain connectivity |
Marco Barilari | Universitè Cathoulique de Louvain | VBM |
Marco Barilari | Universitè Cathoulique de Louvain | VBM |
Marco Bucci | Karolinska Institutet | PET, CSF |
Marco Bucci | University of Turku | Machine learning, radiomics, dementia, prediction |
Marco Canevelli | Sapienza University | frailty, aging |
Marco Di Benedetto | Italian National Research Council | MRI, imaging, 3D, machine learning, deep learning |
Marco Duering | Medical Image Analysis Center | deep learning, brain segmentation, clinical validation |
Marco Egle | University of Cambridge | Small vessel disease Diffusion tensor imaging clinical trials |
Marco Fernandes | University of Oxford | metabolomics, machine learning, network analysis, psychiatric disorders |
Marco Fernandes | University of Oxford | AD, OMICS, data integration, disease trajectory, disease re-classification |
Marco Ferreira | University of Glasgow | bioinformatics, OMICS, integration |
Marco La Ventura | UNINETTUNO | University thesis |
Marco Leo | National Research Council of Italy | deep learning; AD diagnosis |
Marco Lorenzi | INRIA Sophia Antipolis | biomarker, imaging-genetics, spatio-temporal modeling, diagnosis, clinical trial |
Marco Michelutti | University of Trieste | VBM, group analyses |
Marco Novelli | University of Bologna | Covariate-adaptive; Sequential trials, Balance |
Marco Palma | University of Warwick | Brain age; Statistics; MRI |
Marco Romano-Silva | Universidade Federal de Minas Gerais | IA, deep learning, MRI, PET/CT, dementia, cognition |
Marco Schmidt | FU Berlin | gene-gene-interaction |
Marco Simnacher | Humboldt Universität zu Berlin | AD |
Marcos Balle | Universidad Politécnica de Madrid | T1, DTI, MCI, AD |
Marcos Batista Figueredo | Cientista | rho DCCA, neural network |
Marcos Bosques | Florida International University | neural networks; machine learning; classification; |
Marcos Cristian Fernandez Suarez | Universidad de Antofagasta | Cotard volumetry |
Marcos Pedro Ferreira Leal Silva | UFF | regulament |
Marcus Branch | Federal University of Santa Catarina | scientific research, dataset |
Marcus Buchwald | Universität Heidelberg | deep learning, causal inference, counterfactual prediction |
Marcus Heron | University of ulster | Data Science, Machine Learning |
Marcus Kaiser | Newcastle University | connectome analysis, computer simulations, network dynamics |
Marcus Silva | Universidade Federal de São Carlos | Bayesian inference, mixture model, genetic expression. |
Marcus Smith | Hill School | Hill School |
Mareike Ludwig | Institute for Cognitive Neurology and Dementia Research | statistical analysis |
Marek Kocinski | University of Bergen | Deep Learning, aging |
Marek Kraft | Poznan University of Technology | deep learning, self-supervised training, image processing |
Marek Sviderski | University of Sunderland | Alzheimer's Dementia, Deep Learning, Deep Learning fusion |
Maren Hackenberg | Medical Center - University of Freiburg | deep learning, dynamic modelling, personalised medicine, machine learning |
Margaret Allard | University of Arizona | Diagnosis, Algorithms, Image Analysis |
Margaret Gardner | University of Pennsylvania | school |
Margaret Murphy | St. Johns University | coursework project |
Margaret Pericak-Vance | University of Miami | Genetics, ADSP |
Margarida Silveira | Institute for Systems and Robotics / IST | pattern recognition, machine learning, curse of dimensionality |
Margarita Zachariou | Cyprus Institute of Neurology and Genetics | Alzheimer's |
Margherita Squillario | University of Genoa | machine learning, pattern recognition, feature selection |
Margot Rudnianski | University Paris I Panthéon-Sorbonne | Alzheimer's disease |
Margot Sullivan | York University | Alzheimer's, functional connectivity, biomarkers |
Mari Aksnes | University of Oslo | Biomarker course, statistical workshop, UGOT/UCL |
MARIA ACHARY | University of Mumbai | AD,EMCI,MCI,LMCI,CN,PD |
Maria Beser Robles | IISLaFe | WM hyperintensities, Alzheimer |
Maria Bianca Zugravu | INSA Rouen | mri deeplearning academicproject tumor |
Maria Bordukova | Technical University of Munich | master's thesis, disease prediction, incomplete dataset, multimodal dataset |
Maria Bretones | Universitat Politècnica de Catalunya (UPC) | AI models, explainability, XAI, decision support AI |
Maria C Valdes Hernandez | University of Edinburgh | perivascular spaces, dementia, brain, neuroimaging, glymphatic system |
Maria Caceres | Universidad Catolica Boliviana "San Pablo" | Alzheimer |
Maria Camilla Estelle | NYU | Memory metacognition cognition psychometric outcomes |
Maria Carmela Tartaglia | University of Toronto/ Toronto Western Hospital | PSP |
Maria Carmen Romano | University of Aberdeen | Deep learning, convolutional neural networks |
Maria Constantinou | University of Cyprus | MRI, resting state fMRI, deep learning |
Maria Crespo | arraste | processing and MRI |
Maria de Fátima Dias | University of Coimbra | Ageing, Deep Learning, Regression |
María del Refugio Noriega | UAQ | Medical, Images, Textural characteristics |
María del Rocío Cabello Toscano | Universitat de Barcelona | Cognitive Reserve; Alzheimer's Disease; Normal Aging; Functional Connectivity |
Maria E Saez | Caebi | ApoE, alzheimer, integrative analysis |
Maria Eugenia Caligiuri | Università degli Studi Magna Graecia di Catanzaro | DTI, morphometry, AD, MCI |
Marìa Eva Ortega Cor | UNSAM | research; Data Science; Alzheimer |
MARIA FERNANDA ZAVALA LÓPEZ | UNIVERSIDAD PANAMERICANA, CAMPUS AGUASCALIENTES | Deep learning, help people, early diagnosis, CNN |
María Florencia Rodríguez | Unicen | neurosciences, atlas, fmri, functional connectivity |
María Florencia Rodríguez | Unicen | neurosciences, atlas, fmri, functional connectivity |
Maria Frasca | University of Salerno | image analysis |
Maria Giovanna Bianco | Magna Graecia University | mrpi; mrpi2.0; machine learning; random forest; differential diagnosis |
Maria Giulia Prado | University of Bologna | pharmacology, big data |
Maria Hansen | Technische Hochschule Mittelhessen | Alzheimer's Disease, Neuronal Networks |
Maria Inmaculada Villanueva Baxarias | Universitat Pompeu Fabra | TAPDOLE Challenge, forecast algorithm |
MARIA JOSE PELAEZ SONI | RICE UNIVERSITY | Tau |
Maria Khartchenko | Princeton University | Machine Learning, Multiple Sclerosis Diagnosis, Undergraduate Research Project |
Maria Knol | Erasmus MC University Medical Center | Neurodegeneration, high-dimensional data, brain imaging, genetics |
Maria Kryza-Lacombe | University of California, San Francisco | depression, neurodegeneration |
Maria Ly | Mallinckrodt Institute of Radiology | accelerated brain aging, open access databases |
María Martín | UNIR | Brain Alzheimer Detection |
Maria Misiura | Georgia State University | Functional Connectivity, cognition, race |
Maria Neira | UTEC | Neuropsychiatic disorders, SSVEP, Motor Imagery |
Maria Ram Achary | University of Mumbai | AD,MCI,PD |
Maria Sarasquete Martinez | Zaragoza University | Neural network, Alzheimer |
Maria Stefania De Simone | IRCCS Santa Lucia Foundation | Mild cognitive impairment; Memory; Voxel-based morphometry; Longitudinal study |
Maria Timbur | University Politehnica of Bucharest | tomography |
Maria Tziraki | University College London | Image processing, Machine Learning |
Maria Uehara | University of Manitoba | AD |
María Victoria Regge | Colegio Pestalozzi | Biology course. Teaching. |
Maria Vittoria Spampinato | MUSC | VBM, alzheimer, biomarkers |
Maria Zubrikhina | Skolkovo Institute of Science and Technology | deep learning, machine learning, multimodal analysis, biomarkers search |
Mariam Al Moussawi | Lebanese International University | AD, CNN, SVM, MRI DATASET, ALZHEIMER EARLY DETECTION |
Mariam Gamal | Mansoura university | Convolutional neural network (CNN)- Deep learning-Brain MRI-Alzheimer’s disease |
Mariam Gamal | Mansoura university | convolutional neural network -deep learning |
Mariam Sabir | Nust University | Alzheimer, Machine learning models, MRI biomarkers |
Mariam Zomorodi | Cracow University of Technology | Deep learning, Recurrent neural networks, neuroimaging, alzheimer |
Mariana Bento | university of calgary | machine learning, image features, dementia |
Mariana Coelho | FEUP | Fundaments of Image Processing & Analysis; Medical Imaging; Machine Learning; De |
Mariana Hume Cascu | Universitat Ramon LLull - La Salle | masters' thesis, machine learning, deep learning |
Mariana Lazar | New York University Grossman School of Medicine | aging, Alzheimer's disease, diffusion imaging, structural imaging |
Mariana Nurdin | Multimedia University | Deep Learning, Alzheimer's Disease, Mild Cognitive Impairment |
Mariana Oliveira | FMUP | machine learning; classification; neurodegeneration |
Marianna Inglese | Imperial College London | radiogenomic, alzheimer disease |
Marianna La Rocca | Bari University "A. Moro" | Complex networks, machine learning, image processing, neurodegenerative disease |
Marianne Arriola | University of California, Santa Barbara | modeling, connectivity, progression, structural, functional |
Marianne Bezaire | Boston University | alzheimer's, machine learning |
Marianne Lawless | na | Dementia |
Mariano Cabezas | University of Sydney | deep learning, connectomics, diffusion weighted imaging, functional imaging |
Mariano Casado | Ecole normale superieure | Glutamate receptors, Glycine receptors, Orphan receptors |
Mariano Fernandez | CONICET | atlas, brain, head model. |
Mariano Gabitto | Allen Institute | Tau Imaging, Trayectory analysis |
Mariano Ntrougkas | CEnter for Research & Technology Hellas | explainable AI, deep learning, neural networks, classifier network |
mariano rincón | UNED | White matter lesions, White matter hyperintensity, segmentation |
Marie Deprez | INRIA | Deep Learning, Imaging Genetic |
Marie Deserno | University of Amsterdam | autism, neurodegenerative disorders |
Marie Duc | Tuebingen University Hospital | explainable AI in brain |
Marie Duker | Cornell University | long memory, spectral density |
Marie Strømstad | University of Oslo | MRI, Memory |
Marie-Elyse Lafaille-Magnan | McGill University | SNP deep learning |
mariem BA | ENETCOM SFAX | MRI, Brain, Hippocampus, disease, Alzheimer |
Mariem Hachicha | National School of Electronics and Telecommunications of Sfax | Research Academic project |
Mariem Hachicha | National School of Electronics and Telecommunications of Sfax | data research project immensely valuable to my project. |
Mariia Khazova | MSU | ML, MCI |
Mariia Sidulova | gwu | AD |
Mariko Maekawa | JT | AD, MCI |
Marilyn Grand'Maison | Biospective | PET, MRI, Alzheimer's, Cortical Thickness, AV45 |
Marilyn Macy | Montgomery College | imaging, SPECT, scan, education |
Marin Benčević | J. J. Strossmayer University Osijek, Ghent University | explainable AI, deep learning, counterfactuals, variational auto-encoders |
Marina Bluma | Karolinska Institutet | blood biomarkers, blood-brain barrier |
Marina Camacho | University of Barcelona | Artificial Intelligence, dementia, predictors, exposome |
Marina Leiman | University of Almería | brain age, cognitive reserve |
Marina Papoutsi | UCL | clinical validation, volumetric analysis |
Marina Ritchie | University of California, Irvine | Alzheimer's disease; Cancer |
Marina Tedeschi Dauar | McGill University | Alzheimer's disease, biomarkers, CNTN5, CLU, APOJ, HIVEP3 |
Marina Vannucci | Rice University | Bayesian statistics |
Mario Alejandro Bravo Ortiz | Universidad Autonoma de Manizales | Analysis, Alzheimer, Deep Learning |
Mario Catalano | University of Rome Tor Vergata | deep leaning |
Mario Martinez Garcia | Basque Center for Applied Mathematics | Privileged Information |
Mariofanna Milanova | UALR | Machine Learning |
Mariola Zapater Fajarí | Karolinska Institutet | PET, CSF, cognitive decline |
Marion Baillet | University of Liege | Hypothalamus, MRI, PET, Amyloid-β, Tau, Biomarkers, Cognitive trajectories |
Marion Peres | University of Cambridge | Dementia, Volumetrics, Hippocampus, Parietal Lobe, Deep Learning, Segmentation |
Marios Politis | Institute of Psychiatry, Psychology & Neuroscience (IoPPN) King’s College London | Neurodegenerative Imaging |
Marisa Costa | Universidade de Vaeiro | Picotinho1** |
Marisel Villafane-Delgado | Johns Hopkins University-Applied Physics Laboratory | Connectome, Graph Signal Processing, Graph Neural Networks |
Marissa Maroni | University of Pennsylvania | epigenetics |
Marissa Shand | University of Virginia | neural networks, deep learning |
Marius de Groot | GSK | Imaging, MRI, PET, Amyloid, Tau, diffusion, structural, WMH |
Marius Schmidt-Mengin | TheraPanacea | deep learning, classification |
Mariusz Wisniewski | Politecnico di Milano | 3d cnn explainability, ad, mci, cn |
Mariya Chepisheva | Imperial College London | Alzheimer's disease; vestibular; spatial, postural |
Mariya Donskova | Moscow Institute of Physics and Technology and Skolkovo institute of science and | Disease Knowledge Transfer, Neurodegenerative Diseases |
marjan nosouhi | University of Isfahan | fMRI, deep learning |
Marjan Yaghoubi | The University of British Columbia | multi-task learning, Alzheimer disease |
Mark Alexander Henney | Technical University of Denmark | Brain network dysfunction, machine learning, Alzheimer's, Disease progression |
Mark Battle | GE Healthcare | Centiloid, PiB, imaging windows |
Mark Cheung | Carnegie Mellon University | graph neural network, Spectral theory, neuroimage |
Mark Choe | NCIRE | Imaging, Processing |
Mark Clement | Brigham Young University | DREAM Challenge |
Mark Ebbert | Mayo Clinic | Challenging regions |
Mark Fiecas | University of Minnesota | fMRI, connectivity, longitudinal |
Mark Fraser | Australian National University | harmonized Hippocampal protocol, manual segmentation |
Mark Frasier | Michael J Fox Foundation | CSF, biomarkers, neurodegeneration |
Mark Goldstein | New York University | survival analysis |
Mark Herrera | University of Edinburgh | pathogenesis, progression, AD |
Mark Mapstone | UC Irvine | AD, MCI, TBI, Metabolomics, Genetics |
Mark McInerney | Guidepoint | Trytptan Blue |
Mark Muller | TopoGEN, inc. | epigenetics, DNA methylation, biomarkers |
Mark Nguyen | University of Missouri, Kansas City | r Brain Data Bank Challenges |
Mark Olchanyi | Massachusetts Institute of Technology and Massachusetts General Hospital | TBI, HARDI, AAN, tractography |
Mark Sanderson-Cimino | University of California San Diego | Mild Cognitive Impairment; practice-effects; biomarkers; cognitive decline |
Marko Vastag | LeWagon | Machine Learning, Deep Learning, Student's Project |
Markus Bödenler | FH JOANNEUM University of Applied Sciences | dementia, AI, machine learning, prediction, intervention |
Markus Butz-Ostendorf | Biomax Informatics | Big Data, semantic data integration, multimodal brain imaging, AD |
Markus Krohn | Immungenetics AG | Blood biomarkers |
Markus Schirmer | Massachusetts General Hospital | network theory, group differences |
Markus Schneider | Roche | Alzheimer's Diseasae |
Markus von Kienlin | F. Hoffmann-La Roche Ltd | biomarkers prognostic value presymptomatic |
Marleen de Bruijne | Erasmus Medical Center | image analysis |
Marlene Antunes | Technical University of Denmark | fNC |
Marlene Arredondo | UCSD | Research |
Marlene Tahedl | University of Regensburg | personalized medicine, diagnosis, cortical thickness, disease progression |
Marlene Tejeda | Boston University | Alzheimers, microbes |
Marlon Valmórbida Cendron | Instituto Federal Catarinense (IFC) - Federal Institute of Santa Catarina | reproduce, bachelor, deep reinforcement learning, diagnosis |
Marta Alvarado | Instituto de Ingeniería del Conocimiento (IIC) | CNN, classification, MRI, PET, AD, Deep Learning |
Marta Criado | Universidad Complutense de Madrid | deep learning, investigation, prediction, networks |
Marta Fiocco | Leiden University | survival analysis; multistage models |
Marta Hasny | Technical University of Munich | Counterfactuals, Deep generative models, Brain Imaging |
Marta Milà Alomà | Barcelonabeta Brain Research Center | Alzheimer, Biomarkers, Gender, CSF, risk factors |
Marta Mila Aloma | University of California San Francisco | biomarkers, plasma, Alzheimer, clinical trials |
Marta Vilaró | Universitat Oberta de Catalunya | disease progression, machine learning |
Martha Rebeca Canales Fiscal | Instituto Tecnológico y de Estudios Superiores de Monterrey | Machine Learning, Classification |
Martha Singh | First Affiliated Hospital of Xian Jiaotong University | Alzheimer's disease, neuroimaging, imaging biomarkers |
Marthe Mieling | University of Lübeck | resting state fMRI; pathological stage model |
Martijn Platenkamp | Erasmus University Rotterdam | Reproducing |
Martijn van den Heuvel | VU Amsterdam | Connectome analysis, healthy development, disease patterns, statistical analysis |
Martin Belzunce | Royal National Orthopaedic Hospital | PET, PIB, Image Processing, Partial Volume Correction |
Martin Dyrba | German Center for Neurodegenerative Diseases (DZNE) | probabilistic models, multimodal analysis, machine learning, Markov random field |
Martin Elias Costa | Entelai | Brain atrophy, aging, MRI, |
Martin Kavec | home | brain morphology |
Martin Ludvigsen | Norwegian Institute of Science and Technology | Inverse problems, denoising |
Martin McLernon | University College Dublin | Alzheimers, Migraine |
Martin Ondrus | University of Alberta | tensor, statistics, classification |
Martin Reuter | German Center for Neurodegenerative Diseases | Segmentation, Classification, FreeSurfer |
Martin Stano | Slovak University of Technology | Tadpole, 3D convolutional neural networks, machine learning, early AD diagnostic |
Martin Svejda | Birmingham City University | rs-fMRI |
Martin Tamajka | Slovak University of Technology | Deep learning, modality fusion, medical image processing, multimodal ML |
Martin Vaughn | Brigham Young University - Idaho | Alzheimer's disease, Neuroimaging, undergraduate studies, machine learning |
Martin Willbo | Chalmers University of Technology | Machine learning, longitudal data, diagnostic taks |
Martina Bocchetta | Brunel University London | teaching, biomarkers, novel segmentation methods (manual and automated) |
Martina Buscema | DINOGMI | degree |
Martina Del Giovane | Imperial College London | dMRI, dementia, neuropsychiatric, neurodegeneration |
martina silvestrini | Tampere University | plasma biomarkers, blood biomarkers, CSF biomarkers, Alzheimer's disease, AD |
Marufjon Salokhiddinov | Tashkent Medical Academy | AI, AD, MCI, software, brain |
Marvin Petersen | University Medical Center Hamburg-Eppendorf | gradient analysis, functional connectivity, longitudinal fixel based analysis |
Marvin Petersen | University Medical Center Hamburg-Eppendorf | 'vascular cognitive impairment', 'cerebral small vessel disease', 'connectomics' |
Marwa Abdelhaleem | MInia university | alzhiemer diagnose, artificial intellegnece |
Marwa Chaabane | Ecole nationale d'Ingénieurs de Sfax, TUNISIA | Alzheimer disease, fMRI, graph theory |
Marwa Elhefnawy | Certara | Dominantly inherent |
Marwa Ezzat | Egyptian Russian Unversity | Alzehimer |
Marwa Ezzat | Egyptian Russian University | AD |
Marwan el Morabet | Amsterdam University of Applied Sciences | Explainable machine learning |
Marwan Sabbagh | Cleveland Clinic | AD, T2DM, cognitive impairment |
Marwan Sabbagh | Barrow Neurological Institute | tau PET, amyloid PET, MCI, AD, NC |
Marwan Sabbagh | Barrow Neurological Institute | AD, T2DM, cognitive decline, biomarkers, MRI |
Mary Dowling | New York Oncology Hematology | ANDI3 |
Mary Ellen Koran | Stanford Hospital | CSF, amyloid, PET, Parkinson's |
Mary Ellen Koran | Vanderbilt | FDG PET |
Mary Eskander | Banha | Machine learning |
Mary Helen Black | Janssen Pharmaceuticals, Johnson and Johnson | Target Identification and Validation, GWAS, Alzheimer’s disease |
Mary Ladd | Evidera | Clinican's Judgement |
Mary Nykoniuk | Lviv Polytechnic National University | Alzheimer disease, artificial intelligence, machine learning |
Mary Pat McAndrews | University Health Network | fMRI, connectomics, matrix similarity, resting-state |
Mary Peng | Yale Unviersity | cognitive decline, dementia, Alzheimer’s Disease, neuroimaging |
Mary Ramzany | Noshirvani | 12345 |
Mary Regina Boland | University of Pennsylvania | Data Mining; Machine Learning; Clinical Data |
Maryam Ahmadzade | Simon Fraser University | MCI, Machine learning, AD, Progression, Prediction |
Maryam Akhavan Aghdam | Florida International University | Machine Learning, Alzheimer's Disease, MRI, fMRI |
Maryam Alsameen | NIH | Neurite density index; NODDI; MCI; Alzheimer’s disease; White matter. |
Maryam Bakhtiary | Shahid Chamran University of Ahvaz | Mild Behavioral Impairmen, preclinical syndrome, mild cognitive impairment |
Maryam Behzad | University of Tehran | Alzheimer's disease - amyloid beta - CSF targeted proteomics |
Maryam Emamidoost | Ryerson University | Alzheimer's Disease, segmentations, MRI |
Maryam Faisal | KFUPM | : Machine learning, Alzheimer's disease (AD), PET, MRI |
Maryam George | freelancer | dataset |
MARYAM Habadi | King Abdulaziz University | Alzheimer’s disease, parametric analysis, copula, bivariate distribution |
Maryam Hadji | PhD student | Alzhimer |
maryam haghshomar | Tehran University off medical sciences | naive bayes, machine learning, cognitive impairment |
Maryam Hamzelu | Tarbiat Modares University | Deep learning, machine learning |
Maryam Imani | Tarbiat Modares University | Alzheimer detection; pattern recognition; deep learning |
maryam khodaparast | university | maryam |
Maryam Khojaste-Sarakhsi | Radboud university | Deep learning, Alzheimer's disease, Image processing |
Maryam Masoumi | University of Palermo | Alzheimer's disease, classification, MRI |
Maryam Mehrad | Islamic Azad University Science and Research Branch | ADNI, Data Modeling, Artificial Intelligence Methods |
Maryam Momeni | Arak University | Alzheimer |
Maryam Naseri | Pennigton Biomedical Research Center | PET, FDG, av-45 |
Maryam Omri | ENSI | Alzheimer, biomarkers |
Maryam Poursaeid | university of tabriz | deep learning, transfer learning, alzheimer's disease |
Maryam Rahmani | Washington University in St. Louis | ADOPIC project , dementia |
Maryam Sadeghi | Shiraz University | Alzheimer's disease, deep Learning, Taguchi Method |
Maryam Saeedi | Islamic Azad university science and research branch | Deep learning Alzheimer MRI |
maryam sharifi | Iran University of Science and Technology | MRI |
Maryam Shoai | UCL | Genetics, Progression, Machine Learning, Cognitive Reserve |
Maryam Taraghikhah | medical university | Audio،Alzheimer |
Maryam Tavakoli | University of North Carolina at Charlotte | deep learning, multimodal, prediction |
Maryam Zokaeinikoo | Pennsylvania State University | Alzheimer's, deep learning, interpretable, Convolutional Neural Networks |
maryamossadat aghili | Florida International University | AZNI Harp Alzheimer |
Maryellen Eckenhoff | University of Pennsylvania Perelman School of Medicine | tau, adverse events, ADNI3, surgical procedure, surgery |
Maryem Ouhmouk | National school For Computer Science Morocco | deep learning, brain, classification, detection,analysis |
Marylan Davison | University of Southern California | pollution, Alzheimer's |
Maryna Kvasnytsia | Vrije Universiteit Brussel | brain segmentation |
Marzi Heidari | Carleton University | Semi-supervised classification |
Marzia Antonella Scelsi | Università degli Studi di Bari "A. Moro" | DTI, Alzheimer's disease, pattern recognition, neural network, SVM |
Marziye Eshghi | MGHIHP | structural imaging, cortical thickness, speech motor regions |
Masahiro Abe | Juntendo University | Alzheimer's desease |
Masaki Takanashi | Toyota central research and development laboratories incorporated | Machine learning, Deep learning |
Masaki Yoshida | International University of Health and Walfare | Occipital, Temporal and latreal cortical areas |
Masami Goto | Juntendo University | MRI |
Masamichi Imai | Tokyo Metropolitan Institute of Gerontology | network analysis |
Masanori Ito | Hamamatsu Photonics K.K. | FDG-PET, protocol, brain |
Masao Ueki | Nagasaki University | statistical machine learning/statistical genetics |
Masashi Honma | The University of Tokyo Hospital | disease progression, SReFT, racial differences, Japanese, biomakers |
Masashi Nakatani | Keio University | Machine learning, neural network model |
Masataka Kikuchi | Osaka University | eQTL, GWAS |
mash run | Azad university | generative models |
MASKEEN KAUR | BBSBEC | automatic detection of alzheimer disease. |
Mason Kadem | McMaster University | machine learning, blood-based biomarkers, Alzheimer’s disease dementia |
Mason Kadem | McMaster University | machine learning, blood-based biomarkers, Alzheimer’s disease dementia |
Mason Kadem | McMaster University | machine learning, blood-based biomarkers, Alzheimer’s disease dementia |
Masoud Abedi | Universität Leipzig | segmentation, Brain MRI |
masoud Ghaffari | hamedan university of technology | hippocampus |
Masoud Maghsoudi | University of Regina | Dementia - Deep Learning |
masoud moradi | Eastern Mediterranean University | CNN, AD detection |
Masoud NAVIDI | Paris 12 | coronal MRI, human identification |
Masoud Thamasian | Shahid Beheshti University, Tehran, Iran | Sleep-disordered breathing, Apnea, BrainAge |
Masoumeh Dehghani | ALTAML | Machine learning, Alzhomer dataset |
Masoumeh Khodaei | amirkabir university of technology | Alzheimer, Disease |
Massimiliano Grassi | Villa San Benedetto Menni Hospital | Machine Learning, Conversion to Alzheimer's Disease, MCI |
Massimo Papa | Euro Services | precube |
massylia khelafi | ecole nationale polytechnique d'alger | dataset, CNN, neural network |
Matej Kompanek | Slovak University Of Technology | subcortical segmentation |
Matej Perovnik | University Medical Center Ljubljana | Network analysis, differential diagnosis |
Matej Zrimšek | BioSistemika, research and development LLC | Alzheimer's disease, data mining, machine learning, disease prediction |
Mateus Braga | Universidade Federal de Minas Gerais | AI, Machine Learning, Computer Vision |
Mateus Gregorio | Instituto Federal do Sudeste de Minas Gerais - Campus Rio Pomba | artificial intelligence, neural networks, machine learning |
Mateus Rozalem Aranha | Hospital de la Santa Creu i Sant Pau | CAA, Alzheimer's disease, white matter hyperintensities |
Mateus Silva | University of Minho | Deep Learning, Alzheimer's disease |
Matheus Rech | Universidade de Caxias do Sul | Artificial Intelligence, Deep Learning |
Matheus Torres | UFMA | Deep Learning |
Mathieu DAGREOU | ENS Paris-Saclay | Disease progression score, Biomarkers, Alzheimer's disease, statistical model |
Mathijs Rosbergen | Erasmus MC | Dementia |
Mathijs van der Wielen | Tilburg University | Deep Learning, CNN, Prediction, Alzheimer Detection |
Matin Shahriarpour | Semnan University | Bachelor's project, University |
Matin Shahriarpour | Semnan University | Bachelor's project, University |
Matin Yousefabadi | Sharif University of Technology | Alzheimer's disease, modular states, dynamic functional connectivity, rest, task |
Matjaž Boštic | University of Ljubljana | FDG-PET, Dementia, neurodegenerative illness |
Matsuda Naoya | The University of Electro-Communications | Machine Learning, Anomaly Detection |
Matt Kraybill | San Francisco VA Medical Center | Neuropsychology |
Matt London | Boston University | segmentation, alzheimer's, software |
Matt Tharp | Indiana University School of Medicine | alzheimers neuroimaging |
Matta Bharath | BML munjal University | Alzheimer's, neural networks,gan |
Mattan Pelah | Florida State University | circle packing, brain mapping, MRI, conformal maps, Alzheimers |
Matteo Chieregato | Fondazione Poliambulanza, Brescia, Italy | CNN, MRI, CSF |
Matteo De Marco | University of Sheffield | Alzheimer's disease, mild cognitive impairment, resting state |
Matteo Figini | University College London | resolution, machine learning, image quality transfer |
Matteo Grudny | University of Florida | diffusion magnetic resonance imaging, functional connectivity metrics |
Matteo Lai | Università di Bologna | GANs, data syntesis, data augmentation |
Matteo Leoncini | University of Siena | Hippocampus, Segmentation |
Matteo Mancini | Cardiff University | White matter, Microstructure, Diffusion MRI |
Matteo Neri | University of Turin | Brain network, Random forest |
matteo pardini | University of Genoa | MRI, PET, cognition |
Matteo Tonietto | Brain and Spine Institute | Multiple Sclerosis, Myelin |
Matteo Vestrucci | University of Texas at Austin | bayesian variable selection, hopfield network, longitudinal |
Matthan Tharakan | University of Tulsa | Neurodegenerative Diseases, biomarkers, inflammation |
Matthew Aton | Banner Alzheimer's Institute | Quality control, freesurfer, image analysis |
Matthew Barrett | University of Virginia School of Medicine | Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau |
Matthew Baucum | University of Tennessee Knoxville | machine learning, disease progression, time series |
matthew Borzage | CHLA/USC | USC Students |
Matthew Defenderfer | University of Alabama at Birmingham | computation |
Matthew Ethan MacDonald | University of Calgary | Brain Age Prediciton |
Matthew Glittenberg | University of Minnesota | Biomarkers, Neuroimaging, AD, Dementia |
Matthew Gunther | Georgia Institute of Technology | Alzheimer's Disease Prediction Model |
Matthew Harper | Liverpool John Moores University | IADL, difficulties |
Matthew Heindel | University of Southern California | healthy controls |
Matthew Howe | Brown University | cerebral amyloid angiopathy, biomarkers |
Matthew Hyett | University of Western Australia | depression; mild cognitive impairment; Alzheimer's disease; resting-state fMRI |
Matthew Jones | San Jose State University | diffusion compartment analysis |
Matthew Lee | Mr | Image registration, deep learning |
Matthew Lee | Baylor College of Medicine | mri, pet |
Matthew Lee | Griffith University | Neural network, alzheimer's, interpretability |
Matthew Leming | Massachusetts General Hospital | Deep learning |
Matthew Leming | Massachusetts General Hospital | MRI, Deep Learning |
Matthew Moye | Merck & Co. | Computational,Modeling,QSP |
Matthew O'Brien | Saint Louis University | Machine Learning, Deep Learning, Convolutional Neural Network, Multi-Modal |
Matthew Panizzon | University of California San Diego | Testosterone, biological markers, cognition |
Matthew Radovan | Stanford | amyloid tau mri cnn machine learning |
Matthew Rhodes | Amazon | Diffusion |
Matthew Scott | Harvard Medical School/Massachusetts General Hospital | AD, Sex, Tau, PET |
Matthew Senjem | Mayo Clinic | Mayo Clinic, PIB, MRI |
Matthew Sinclair | University of Auckland | Auckland 1010. New Zealand |
Matthew Sinnett | PrecisionLife | Precision Medicine, Combinatorial Analytics, Patient Stratification, Biomarkers |
Matthew Slattery | Unemployed | image analysis, machine learning, pattern recognition |
Matthew Velazquez | University of Missouri Kansas City | Deep Learning, Visual Classification, Visual Segmentation, EEG |
Matthias Arnold | Helmholtz Zentrum München | gaussian models, data integration, network analysis |
Matthias Chhoeun | Colorado School of Mines | Data Science |
Matthias Keicher | Technical University of Munich | machine learning |
Matthias Kraemer | Neurocentrum Grevenbroich, Germany | Morphometry, MRI, Dementia |
Matthias Machacek | LYO-X GmbH | mathematical model, amyloid beta, tau, cortical thickness, CDR-SB |
Matthias Wilms | University of Calgary | brain aging, disease classification |
Matthieu Coupet | XLIM | Deep learning MRI |
Matthieu Doyen | Lorraine University | connectivity, FDG PET, Alzheimer disease |
Matthieu Dumont | Imeka | DWI DTI HARDI Tracking |
Matthieu Gilson | INSERM | model-based biomarkers, effective connectivity |
Matthieu Joulot | ICM | Aramis, Clinica, Converters, ADNI to BIDS |
Matthieu Vanhoutte | INSERM | PET; MRI; quality control; prognosis; validation; early Florbetapir |
Mattia Corti | Politecnico di Milano | Mathematical Models, Neurodegeneration, Computational Neuroscience |
Mattia Pagano | Ospedale Policlinico San Martino | Machine Learning, Biomarkers, Radiomics |
Mattia Provincia | GTechnology | AI, ML, ADNI3, MCI |
Mattson Ogg | Johns Hopkins University Applied Physics Lab | deep learning neuroscience transfer learning |
Matvei Khoroshkin | UCSF | RNA binding proteins |
maud vanesse | classe préparatoire aux grande école MP baimbridge | automatisation of detection by AI |
Maulik Chevli | Technical University of Munich | Machine Learning, Differential Privacy, Graph Neural Networks |
Maulik Moghe | Manipal University Jaipur | Please access the dataset, Thank You |
Maura Bellio | University College London | graphic user interface; MRI; disease progression models; neurodegenerative |
Maura Malpetti | University of Cambridge | Workshop |
Maureen Zhang | Albert Einstein College of Medicine | machine learning, CNN, prediction, Alzheimer's Disease, feature selection |
maurice smith | harvard university | cognitive testing |
Mauricio Abad Herrera Mejía | Universidad Nacional de Colombia | PET, FMRI, Artificial Intelligence |
Mauricio Diaz | Inria | AD, Deep Learning |
Mauricio Farez | FLENI | alzheimer; PET |
Maurisa Saylor | UCSF | deep learning, alzhimer's |
Maurizio Bergamino | Laureate Psychiatric Clinic & Hospital | DTI; GQI; structural connectivity; prediction model |
MAURIZIO DE PITTA | BASQUE CENTER FOR APPLIED MATHEMATICS | biomarkers, neuron-glial, astrocytes, inflammation, ROS, transcription factors |
Mauro Namías | Fundación Centro Diagnóstico Nuclear | normal PET quantification |
Max Bertolero | Turing Medical | diffusion, structural connectivity |
Max Cynader | University of British Columbia | Alzheimer's Disease, machine learning, cognitive impairment risk |
Max Goodman | UCLA | blood, CSF, biomarker, PET, MRI |
Max Hinne | Radboud University | Generalized Wishart Processes; network regression |
Maxim De Schaepdryver | KU Leuven | Biomarker course |
Maxime Bollengier | VUB | multimodal, self-supervised learning, graph neural network |
Maxime Montembeault | University of Montreal | Structural connectivity, stuctural covariance |
Maxime Taquet | University of Oxford | Neural injury,COVID,NFL,Tau,GFAP,Normative |
Maximilian H. T. Schmieschek | University of Cologne | resting-state functional magnetic resonance imaging, regression DCM, effective c |
Maximilian Reiser | HAW Landshut | data shift, simulation of mri scans |
Maximilian Wiesmann | RadboudUMC | Neuroscience,Obesity |
Maximus Liu | AARD | Machine learning, Alzheimer's disease, Transfer learning |
Maxwell Elliott | Duke University | Aging, methylation, ADRD, neurodegeneration |
Maxwell Hand | University of Southern California | Neuroimaging, Informatics, Genetics |
Maxwell Reynolds | University of Pittsburgh | imaging, genetics |
may wy | shanghai university | 18F-FDG PET, Parkinson’s disease, radiomics, support vector machine |
May Yong | Alan Turing Institute | Safety in machine learning, monitoring, Alzheimers |
Maya Chandar | Canterbury School | Alzheimer's Disease, mild cognitive impairment, neurodegeneration, algorithm |
Maya Duffy | University of South Carolina | Project, Statistics |
Maya Gonzalez | Occidental College | fMRI |
Maya Kodeih | Ryerson University | Machine learning, classification, deep learning, CNN model, interpretability |
Maya Kuang | Johns Hopkins University | Alzheimer's, PGLYRP2, rs892145, IBD, Irritable Bowel Disease |
Maya Poghosyan | Pioneer Academics | graph classification, graphs, networks, network neuroscience |
Maya Srikanth | Stanford University | ALS, MRI preprocessing |
Mayank . | IIT BHU Varanasi | GAN |
MAYINGWEI MA | YANSHAN university | 1 |
Mayowa Ibitola | Landmark University | Alzheimers |
Maysam CHAARI | ISITCOM | apprentissage profond ,alzheimer |
Mayurakshi Chanda | National Institute of Technology Silchar | Deep learning, Neural network |
MAYURAKSHI JANA | MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY | disease prediction, monitoring and identification |
Mazen Fouad A-wali Mahdi | Daskell | Graph metrics, Graph embeddings, Late/Early Fusion, Gray Matter networks |
Mazin Aouf | Western Sydney University | Medical Research Datasets |
Mazlyfarina Mohamad | Universiti Kebangsaan Malaysia | Machine learning, Voxel Based Morphometry |
Małgorzata Stawik-Kilian | None | Master, Dimensionality reduction |
MD ABUL HASSAN SAMEE | BAYLOR COLLEGE OF MEDICINE | Machine learning, imaging, genetics |
Md Aman Ullah | University Malaysia Terengganu | Alzheimer disease,deep learning,machine learning |
MD Asaduzzaman | Khulna University of Engineering and Technology | Request for ADNI dataset |
Md Ashad Alam | Tulane University | Robsut kernel, Machine lerning |
Md Ashraful Islam | Bangladesh University of Business and Technology | Alzheimer, Dementia, MCI |
Md Easin Hasan | University of Texas at El Paso | Deep |
Md Erfanul Hoque | University of Manitoba | Longitudinal data, spatio-temporal model |
Md Gulzar Hussain | Changzhou University | Watershed, Transfer Learning, Dementia |
Md Humayun Kabir | Islamic University | Deep Learning |
Md Jakir Hossain | UTRGV | TSCCA |
Md Jillur Rahman Saurav | The University of Texas at Arlington | TADEPOLE |
Md Mahfuzur Rahman Siddiquee | ARIZONA STATE UNIVERSITY | asu |
Md Mahmudur Rahman | Umass Lowell | deep learning |
Md Maidul Husain | New Mexico Tech | AD, Bayesian Variable Selection |
MD MAMUN AL AMIN | University of Queensland | Hippocampus, Subiculum, CA1, Dentate Gyrus |
Md Mohidul Hasan | University of Hertfordshire | Medical Image Analysis |
Md Morshed Jaman Adnan | Lucerne University of Applied Scienes | early prediction, AD, topological featrures |
Md Nazir Uddin | University of Louisville | Variable Selection, Shrinkage, MNL |
Md Nymur Rahman Shuvo | Daffodil International University | Deep learning model, neural network |
Md Sajjad Hossain | North western university,Khulna | thesis,research |
Md Salah Uddin Yusuf | Khulna University of Engineering & Technology | Research |
Md Shamim Hossain | Islamic University | Alzheimer’s, Classification |
MD SHAMSHAD ANSARI | Jadavpur University | Research, Master's Degree |
Md Shamsuzzoha Bayzid | Bangladesh University of Engineering and Technology | Alzheimer's disease progression; Machine learning |
Md Shibly Sadique | Old Dominion University | radiation necrosis |
Md Tanzim Reza | BRAC University | Alzheimer's disease, MRI |
md tasnimul hasan | University of potsdam | Image classification |
Md. Abul Hassan Samee | Baylor College of Medicine | Alzheimer |
Md. Anayt Rabbi | Jagannath University | Alzhmer's disease |
Md. Atiqur Rahman | American International University-Bangladesh | Alzheimer's disease, deep learning, prediction, classification |
Md. Azizul Hakim | Khulna University of Engineering & Technology | Alzheimer, MRI analysis |
Md. Fahimul Islam | Relisource Technologies Limited | Longitudinal analysis Predicting AD progression Alzherimer |
Md. Habibur Rahman | BDU | ML, Deep Learning |
Md. Kawsher Mahbub | Bangladesh University of Business and Technology | deep learning |
Md. Kowsar Hossain Sakib | Charles Sturt University | fMRI |
Md. Mahmodul Hasan | Mawlana Bhashani Science and Technology University | AD, CNN, SVM, AD Detection |
Md. Main Oddin Chisty | Khulna University of Engineering and Technology, Khulna, Bangladesh | fMRI, Alzheimer, Lenet-5,vgg16, CNN, alexnet, |
Md. Martuza Ahamad | Bangabandhu Sheikh Mujibur Rahman Science and Technology University | Deep learning; MRI; Medical image processing; |
Md. Mohaimenur Rahman | Daffodil International University | Alzheimer’s Disease Assessment, Machine Learning Algorithms |
MD. NASIM HAIDAR | UNIVERSITY OF RAJSHAHI | Early detection of Alzheimer's disease |
Md. Omaer Faruq Goni | Rajshahi University of Engineering & Technology | Machine Learning |
Md. Rahman | Ulster University | ULSTER |
Md. Rashedul Islam | Hajee Mohammad Danesh Science and Technology University | Alzheimer detection, Classification, Deep Learning model |
Md. Rawnak Saif | Bangladesh University of Professionals | Alzheimer's, Machine Learning |
Md. Redwanul Haque | Bangladesh University of Engineering and Technology | Alzheimers, classification |
Md. Sohrawodi | HSTU | medical imaging |
Md. Sorwar Alam | ka University of Engineering & Technology, Gazipur. | MRI, CT |
Md. Tarek Aziz | Independent University, Bangladesh | N/A |
Meagan Lauber | Boston University School of Medicine | deep learning, Alzheimer's disease |
meantao ye | ZJUT | CNN |
MEDDAD MAJDOULINE | Mohamed V University | Alzheimer, SNN, CNN,SVM |
Medford Kanyi | University of Ghana | alzheimer's detection machine learning |
Medha Sharma | University of Colorado Boulder | Network analysis, graph theory, fMRI |
Medhani Menikdiwela | Australian National University | Alzheimer's Disease classification |
Meemansa Sood | Fraunhofer Institute for Algorithms and Scientific Computing | Alzheimer’s disease, cognitively normal, mild cognitive impairment |
meena srinivasan | malar computer education | Alzhemire disease, Deep learning, ResNet architecture |
meena srinivasan | malar computer education | Alzhemire disease, Deep learning, ResNet architecture |
Meenachi Sundaram | Browzone | Data Mining |
Meenakshi Anbukkarasu | San Jose State University | Predicting conversion from MCI to AD |
meenakshi s | Thiagarajar College of Engineering | artificial neural networks, human computer interaction, pattern recognition, sup |
Meenakshisundaram Balasubramaniam | University of Arkansas for Medical Sciences | drug discovery |
Meenu Raju | creopedia | deep learning |
Meet Shukla | VIT UNIVERSITY | MRI CNN GoogleNET RESnet |
Meg Kato | Keio university | image recognition |
Meg Mihalache | Georgetown University | Cognitive aging, cancer related cognitive decline |
Megan Courtman | University of Plymouth | Parkinsons Disease, machine learning, AI, neural networks, MRI |
Megan Jensen | Biogen | Alzeimer's imaging research interest |
Megan Moran | Anderson University | Alzheimer's |
Megan Nelson | Barrow Neurological Institute | Alzheimer’s disease; diffusion tensor imaging; free-water diffusion; longitudina |
Megha Gowda | Student | Cognitively Normal(CN), Mild Cognitive Impairment(MCI),Alzheimer's disease, |
Meghana Guttikonda | Academies of Loudoun | MRI Scans, Parkinson's Disease, Biomarkers. |
Meghana Srikanth | SSN College of Engineering | Alzheimer's disease, early diagnosis, multimodal data classification |
Meghana Tandon | Carnegie Mellon University | Computational Biology, Research Project, Classification, Segmentation |
Meghna Saikia | Tezpur University | Data Visualization |
Mehak Memon | Universiti Teknologi Petronas, Malaysia | automatic detection |
Mehdi Abdollahpour | Amirkabir university of technology-Tehran Polytechnic | Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN |
Mehdi Diba | Shahrood University of Technology | ADNI data analysis,deep learning |
Mehdi Elhamraoui | MOHEMMADIA school of enginering | stroke , alzheimer |
MEHDI GHASEMI | IUST | graph theory |
Mehdi Ghasemi | Iran university of science and technology | alzheimer's disease, machine learning, graph theory, evolutionary algorithms |
Mehdi Jabari | Shomal University of Amol | Implementation, Assignment |
mehdi khoogar | Ahvaz Jondishapur University of Medical Sciences | fMRI |
Mehdi Mehrad | Institute for Cognitive Science Studies | ADNI, Data Modeling, Artificial Intelligence Methods |
Mehdi Mojaradi | University of Tehran | Alzheimer,data analytics |
Mehdi Nasri | Islamic Azad University, Khomeinishahr branch | Alzheimer, BSP, |
Mehdi Setoodeh | Azad university | Alzheimer’s disease,machine learning |
Mehdi Shojaie | Florida International University | Alzheimer's disease, Computer-aided diagnosis, machine learning |
Meher Lad | Newcastle University | hearing loss, cognition, dementia risk |
Mehmet BAYGIN | Ardahan University | Dementia, ADNI, Machine Learning |
Mehmet Bilgin Eser | Istanbul Medeniyet University | Brain, Magnetic Resonance imaging |
Mehmet EMRE SERTKAYA | ordu university | deep learning,cnn |
Mehmet Halis Korkmaz | Gumushane University | hippocampus segmentation |
Mehmet Numan Çolakoğlu | Ankara Bilkent City Hospital | Radiology, Alzheimer's Diseas, Vision Transformer, Convolutional Neural Network, |
Mehmet Sait Dündar | Abdullah Gul University | deep learning, MRI, PET, dementia, alzheimer disease |
Mehmet Yigit Avci | Technische Universitat Munchen | Unsupervised learning, autoencoder, Alzheimer's disease detection |
Mehmet Yigit Avci | Technische Universitat Munchen | Deep learning, unsupervised learning, AD detection |
Mehrab Ramezanifar | Amirkabir University of Technology - Tehran Polytechnic | Data Science - Data Analysis - Dimension Reduction Principal Component Analysis |
Mehran Delparish | Islamic Azad University, Najafabad Branch | Bel, Alzheimer Detection |
mehran panahi | TMU | MRI,AD,Deep learning |
Mehran Taghipour | Birjand University | image, biomarker, mci |
Mehrdad Mohammad panahi | Islamic Azad University Science and Research Branch | biomarkers, neurodegenerative disease, Alzheimer ,abnormalities ,genetic mutat |
Mehrdad Mozafar | Tehran University Of Medical Sciences | TBM, Alzheimer's spectrum disorder |
Mehrdad Naderi | National Chung Hsing University | Censored data, Functional regression, skew distributions |
Mehri Baniasadi | University of Luxembourg | MRI segmentation |
Mehrnaz Bahraim | Tehran University | AI-CNN-Alzheimer’s Disease-classification |
Mehrnoosh Ghanbarian | Mashhad University of Medical Sciences | Free Water Imaging, Alzheimer's disease, CSF, Diffusion Weighted Imaging |
Mehrsa Hatami | shahid beheshti university of medical science | CSF, Signaling, Alzheimer |
mehrsa heidari | Jondishapour University of Medical Sciences | Alzheimer-parahippocampal gyrus-dementia-progranulin |
Mehul Poshattiwar | Bharati Vidyapeeth College Of Engineering | Alzheimer's |
Mehul Sampat | BIOCLINICA | Multi-modal analysis |
Mehulkumar P JAin | JSS Science & Technology University, Mysuru | Alzheimer, Classification Techniques |
Mehwish Mehmood | Queen's University Belfast | Medical image analysis, deep learning |
Mei Chenghan | Sichuan university | Periodontitis, cerebrovascular pathology, APOE4 |
mei Han | Weifang Medical University | data analysis |
Mei Jian | university | fMRI study |
Mei Luo | University of Science and Technology of China | AD |
Mei Weiqiang | Henan University | More stimulation of the brain |
Mei-Ting Zhao | Southeast University | fMRI,subtying,functional connectivity |
Meichen Liu | University of Alberta | functional data, quantile |
Meichen Yu | University of Pennsylvania | Alzheimer’s disease, brain networks, amyloid beta, tau, cognitive dysfunction |
meidi chen | Shanghai Jiao Tong University | FDG AV45 |
Meifang Xiao | Johns Hopkins School of Medicine | NPTX2, biomarker |
Meihui He | Xiangya Hospital, Central South University, China | glaucoma; tau; amyloid beta |
meijie li | Chongqing Medical University | brain asymmetry;AD;MRI |
Meijie Wu | Shaanxi University of Science and Technology | ADNI Feature extraction |
Meike Oschmann | University of Victoria | fMRI resting state |
Meilin Gu | Qingdao Municipal Hospital | research |
Meiling Hao | University of International Business and Economics | Gene; Statistical Analysis; AD |
Meimei Liu | Virginia Tech | statistical modeling; brain structure; ADNI |
meimei wang | the shanghai Fifth People's Hospital | normal aging; AD; r-fMRI |
meina li | Northeastern University | alzheimer's disease;deep learning |
Meina Quan | Xuanwu Hospital, Capital Medical University | alzheimer's disease |
Meitong Li | University of Southern California | APOE |
meiwei zhang | Chongqing university | AD |
Meiyan Huang | Southern Medical University | association anlysis |
meiyi wang | TianJin University | Alzheimer's disease |
Meiyi Yu | JINAN University | joint model, longitudinal data, quantile regression |
Melanie Garcia | Hypercube Institute | Neuroimaging, Data analysis, multi-site effect |
Melanie Leroy | Lille university hospital (CHU Lille) | Alzheimer, HBP |
Melanie Miller | Northern California Institute for Research and Education (NCIRE) | ADNI |
Melanie Swan | University College London | multiscalarity, complexity, biosystems, holographic mathematics |
Melanija Kraljevska | University of Ljubljana | multiview time series clustering, rule learning, subtypes discovery |
Melih Özcan | Techsign | GAN, AI, ML |
Meliha Gizem Çelik | Istanbul Medeniyet University | deep learning, data analyze, machine learning, alzheimer diagnosis |
Melihcan Erol | Massachusetts Institute of Technology | multimodal learning |
melika araghi | alzahra university | fmri - |
melika hashemi | Tehran university of medical sciences | Alzheimer, neuroimaging , neurology |
Melina Rogers | The University of Arizona | Imaging, AI |
Melinda Power | George Washington University | Alzheimer's disease, prevention, intervention, vascular risk |
Melissa Bristow | Microsoft Research | machine learning, segmentation |
Melissa Humphries | The University of Adelaide | Missing data, network analyses, generalised linear models |
Melissa McSweeney | University of Toronto - Sunnybrook Research Institute | neuroimaging, neuroinflammation, plasma |
MELISSA MERCADO | Eli Lilly | Imaging Research |
Melissa Nardone | California Polytechnic University | Alzheimer's |
Melody Li | BC Children's Hospital | Alzheimer's Disease |
Meltem Arslan | Bogazici University | dementia alzheimer transition clustering |
Meltem ATAY | MIDDLE EAST TECHNICAL UNIVERSITY | Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers |
Meltem Atay | Middle East Technical University | Deep Learning, Convolutional Neural Networks, Effective Connectivity, |
MELVIN MICKLE | T. JOHN INSTITUTE OF TECHNOLOGY | Alzheimer's disease, MRI, AI, ML, ADNI |
Melvin Selim Atay | Middle East Technical University | Deep Learning, Explainability |
Menagadevi M | Dr.N.G.P Institutute of Technology | Alzheimer,Deep learning,Machine Learning |
Meng Chu Liu | National Yang Ming Chiao Tung University | Alzheimer's disease, Classification |
Meng Detao | Beijing Rehabilitation Medical College, Capital Medical University, Beijing, Chi | Parkinson's disease; activity of daily living |
Meng fanyu | 长春 | 19981126mz |
Meng Li | NUC | thanks |
meng li | NEU | DTI, fMRI |
Meng Ma | Huazhong University of Science and Technology | reinforcement learning |
Meng qin Yang | Nanjing University of Chinese Medicine | MCI、AD、Cognitive scale |
Meng Wang | University of Calgary | Dementia, Risk Assessment, Machine Learning, Bayesian |
MENG YUAN ZHU | Shaanxi Normal University | AD,fMRI |
meng yufei | SOUTH CHINA NORMAL UNIVERSITY | Brain function and structure |
Meng Zhang | Harbin Engineering University | SR |
Meng Zhao | Tianjin University of Technology | medical image analysis |
Meng-Chien Lin | National Tsing-Hua University | machine learning for early detection of dementia |
Mengfan Sun | Capital Medical University Affiliated Beijing Tiantan Hospital | Aizheimer's disease, blood biomarker |
Mengge Jia | Beijing Normal University | brain |
mengge wang | guangdong shunde innovative design institute | ADNI |
Menghua Liu | Shanghai Meritime University | FMRI |
Menghui Zhou | Yunnan university | research University |
Mengmeng Feng | the first affiliated hospital of soochow university | Alzheimer's disease; diffusion tensor imaging |
Mengni Huang | university of leeds | prepare dissertation, do research |
MengQi Fang | Northeastern University at Qinghangdao | deep learning |
Mengqi Li | Lanzhou University | Eye Movement, Disease Diagnosis, Deep Learning |
mengqian zhang | South China Normal University | Subject research |
mengshen he | Central South University | brain,AD,deep learning |
Mengting Liu | University of Southern California | sybtypes, deep learning |
Mengting Zhao | Yunnan University | qq83218989 |
Mengwan Liu | The fourth military medical university | validate; analyse |
Mengwei Ren | New York University | Medical image harmonization |
Mengwei Yuan | The First Hospital of Hebei Medical University | Application |
Mengxiao Geng | Henan University | AD |
mengxuan Li | Beijing institute of technology | validation |
Mengxue Wang | Southeast university | AD APOE4 |
mengxue yang | zhengzhoudaxue | PET |
Mengyao Kong | Northeastern University at Qinhuangdao | Alzheimer's disease |
mengyao niu | Shanxi Medical University | hjmzscl123 |
Mengye Lyu | Shenzhen Technology University | MRI reconstruction |
Mengying Yu | The First Affiliated Hospital of Wenzhou Medical University | Alzheimer’s disease, A/T/N system, resting-state functional magnetic resonance i |
Mengyu Ge | Brimmer And May | Deep Learning |
Mengyu Zhang | Nanjing Normal University | applied statistics;statistical method;potential reason and influence of ADNI. |
Mengyuan Ding | Brigham and Woman's Hospital | protective, WGS, AD , validation |
mengyun li | Nanjing Drum Tower Hospital | Dynamic brain connectivity |
Mengyun Qiao | Fudan University | Medical image processing |
Mengzhe You | The First Affiliated Hospital of Anhui Medical University | default network, cerebrospinal fluid pathology,Alzheimer’s disease |
menna essam | akabar alyom academy | alzheimer |
Menno van Zutphen | Eindhoven University of Technology | Educational, novel, data analysis, gaussian mixture models, publishing optional |
Meral Tubi | USC | biomaker, cognitive measure, imaging |
Meredith Braskie | USC | inflammation |
Meredith Hay | University of Arizona | Neurofilament light, heart disease, MCI |
Meredith Ray | University of Memphis | fMRI, clustering, spatial analysis, Dirichlet process |
Meri Bozulanova | Contractor | imputation |
Meriem Benhaddi | Cadi Ayyad University-Faculty of Sciences and Techniques | Alzheimer, early diagnosis, artificial intelligence, data analysis, PET, MRI |
Meriem Saim | Tlemcen university | Alzheimer disearse , prdiction ,depp learning |
Meritxell Oliva | Abbvie | QTL |
Merle Hoenig | University Hospital Cologne | resilience, PET, polygenic risk |
Merlin G | VIT Chennai | graph neural network, biomedical images |
Merlin Verdecia | HCMC | biomarkers |
Mert Sabuncu | Cornell University | machine learning |
merve kayar | van yüzüncü yıl university | medical imaging processing, AI |
Merve URAY | Yildiz Technical University | Artificial Intelligence, Alzheimer, Neural Networks |
Merve Yusra Dogan | Istanbul Medipol University | functional connectivity, neuropsychological test, fMRI, big data |
Merwa Mehmood | NUST Pakistan | data analysis |
Meryem Benyoussef | Sorbonne University | Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment |
MERYEM KARAGOZ | UNIVERSITY OF VIRGINIA | deep learning, medical image analyses, cad |
Mesarat Kaewyot | Chiang Mai University | MRI,brain volume measurement |
Mesut Ozdag | FLYWHEEL | machine learning |
Mesut Seker | Dicle University | Alziehimer, deep learning, MRI |
metasebiya mulugeta | ICT for Development | seli |
mete yavuz | Mersin Uni. | deep learning alzheimer |
Methila Biswas Raya | Zantrik | ML |
Meymey Lov | Bentley University | graphical high dimensional data |
Meysam Ahangaran | Mazandaran University of Science and Technology | Data Readiness |
meysam heydarnia | tabriz | Deep Learning |
MF Yin | Weifang Medical University | Alzheimer’s disease; Differential expression; Convergent functional genomic |
mhathesh TSR | Karunya | Deeplearning |
Mia Gregory | Georgia Institute of Technology | ADNI, MRI, AD |
Mia Jovanova | University of Pennsylvania | class assignments |
Mia Marche | Texas A&M | Adni data |
Mia Shu | University of Virginia | machine learnning |
Mian Jiang | Fudan University | diagnosis, maching learning |
Mianxin LIU | ShanghaiTech Univeristy | deep learning, graph convolutional network, functional connectivity, fMRI, eMCI |
miao li | Second Affiliated Hospital of Harbin Medical University | Machine learning; cognitive dysfunction; dementia; diagnostic tool |
miao miao | Pakistan | Miaomiao0714 |
miao miao | South China University of Technology | mechine learning |
Miao Rui | Macau University of Science and Technology | MRI,Alzheimer |
Miao Tian | Zhejiang College of Tongji University | AD |
Miao Wang | XuanYing soft | PET MRI |
Miao Wei | Hunan University | Machine Learning |
Miaochun Cai | Guangdong Provincial Hospital of Chinese Medicine | Machine learning, Alzheimer’s diseases, Biomarkers, Neuroimaging |
Miaotian Guo | Beijing University of Posts and Telecommunication | VLM; medical images; transfer learning |
MiaoXuan SUN | The First Affiliated Hospital of Wenzhou Medical University | connectome tau |
miaoyu Yang | 海南大学 | apply for the use of data |
Micael Davi Lima de Oliveira | Federal University of Amazonas | COVID-19, Neuropathogenesis |
Micaela Chan | University of Texas at Dallas | rsfc, resting-state, reliability, method |
Micaela Mitolo | University of Parma | peripheral biomarkers; neuropsychology; neuroimaging; MCI; Alzheimer's disease |
micaella lobato | UEPA | DP |
Micah Johnson | Johns Hopkins University | DTI, multimodal, AD, biomarkers |
Michael Adeyeri | IU International University of Applied Sciences Bad Honnef, Germany | genetic markers, analysis, machine learning |
Michael Aizenshtadt | University of Waterloo | machine learning, educational |
Michael Alayande | Lagos state Polytechnic | MRI |
Michael Allen | University of Exeter | synthetic gan gtn |
Michael Berman | Hadassah Academic College | CT, MRI, Ultrasound, Imaging reconstruction, Deep Learning |
Michael Burkhart | University of Cambridge | machine learning, trajectory modelling |
Michael Choi | University of Macau | quaternion, graph neural network, Alzheimer’s disease |
Michael Colbus | Liquid Biosciences Inc. | Synapse, validation, insights |
Michael Coopman | University of Texas at Arlington | Medical image registration, Image segmentation, Voxelmorph, Deep learning |
Michael Cuccaro | University of Miami Miller School of Med | ADSP Phenotype Harmonization Consortium |
Michael Dada | Federal University of Technology, Minna, Nigeria | Machine learning, MRI, ANN |
Michael Donohue | Keck School of Medicine of USC | ADCS |
Michael Duong | University of Pennsylvania | Alzheimer disease, AT(N), PET, neuroimaging |
Michael Ewers | LMU | amyloid, genetics |
Michael Ferguson | Brigham & Women's Hospital, inc. | fmri rsfmri rsfc atrophy mri pet connectome connectomics |
Michael Fink | Texas A&M University | Machine Learning, Alzheimer's |
Michael Firbank | Newcastle University | Dementia |
Michael Firbank | Newcastle University | DTI |
Michael Fox | Harvard | atrophy |
Michael Gordon | The Pennsylvania State University | Machine Learning, Spectral Clustering, Generalized Principle Component Analysis |
Michael Greicius | Stanford University | genes, structure |
Michael Haas | MIM Software Inc | Centiloid, Amyloid, Alzheimer's, AD, MCI |
Michael He | University of Manitoba | Alzheimer's Disease, Temporal Lobe Epilepsy, FDG-PET |
Michael Kane | Yale University | subtype discovery |
Michael Kleiman | University of Miami, Miller School of Medicine | machine learning, neural network, cognitive domains |
Michael Lane | University of Southern Queensland | Machine learning, Deep learning, Alzheimers Disease |
Michael Lash | University of Kansas | machine learning, explainability, physician-in-the-loop |
Michael Lassi | Scuola Superiore Sant'Anna | machine learning, cognitive decline, prediction |
Michael Lee | University of Washington | Genetic Resilience Alzheimer's Disease |
Michael Lee | Memorial University of Newfoundland | machine learning, evolutionary, MCI, AD, metabolites |
Michael Levin | Temple University | Genomics, transcriptomics, proteomics, epigenomics, metabolomic, lipidomic |
Michael Lingzhi Li | Massachusetts Institute of Technology | holistic prediction, machine learning, cognitive decline |
Michael Lutz | Duke University School of Medicine | regulatory variants, gene expression changes in Alzheimer's disease, genetics |
Michael Maker | Invicro | Imaging, Alzheimer's Disease |
Michael Marnane | University of British Columbia Hospital | small vessel disease white matter hyperintensity Alzheimer Disease MRI |
Michael McHugh | Ulster University | Machine Learning and Data Modelling |
Michael McKenna | Ohio State University | Connectome predictive modeling, resting state functional connectivity, attention |
Michael Minyi Zhang | University of Hong Kong | Medical imaging |
Michael Motes | Universtiy of Texas at Dallas | agglomerative clustering methods |
Michael Motes | University of Texas at Dallas | agglomerative clustering diagnostic classification |
Michael Ngala | Michigan Technological University | Alzheimer's deep learning early detection |
Michael Oliver | Belmont University | tau, race, heart rate, blood pressure, cognition |
Michael Peer | University of Pennsylvania | functional MRI, connectivity disturbance |
Michael Pozo | Flatiron School | Data Science, Convolutional Neural Network, MRI |
Michael Properzi | Massachusetts General Hospital | PiB, PET, centiloid |
Michael Rabbia | Roche | Clinical Trials |
Michael Ranasinghe | Massachusetts General Hospital/Athinoula A. Martinos Center | PiB, Florbetapir, deep learning |
Michael Rebsamen | University of Bern | MRI, anatomy, cortical thickness, deep-learning |
Michael Reinwald | IXICO | machine learning, neural networks, deep learning, research |
Michael Robbins | RAND Corporation | Data Fusion, Imputation, Amyloids, Alzheimer's |
Michael Rosenbloom | HealthPartners Center for Memory and Aging | resting state functional MRI; human connectome project; large scale brain networ |
Michael Rullmann | University of Leipzig | PVEC, PET, MR |
Michael Salerno | Stony Brook University | Concussion, mTBI, FDG-PET, MRI |
Michael Schöll | University of Gothenburg | Segmentation, multi-atlas, multimodal |
Michael Schumacher | Mayo Clinic | ADNI3 |
Michael Spezio | Scripps College | Undergraduate; Women's College; Machine Learning |
Michael Stritt | mediri GmbH | ASL-MRI, Deep Learning |
Michael Ta | Data Tecnica International | AD, GWAS, longitudinal GWAS |
Michael Valenzuela | UNSW | Hippocampal atrophy, frontal lobe volume |
Michael Vu | University of California, Irvine | FDG PET, Metabolomics |
Michael Ward | Alector | AD clinical trial |
Michael WARD | Alector | AD Therapeutic clinical trials |
Michael Wolgast | ATRI | Data Manager |
Michael Yen | Rutgers University | CS527, class, Rutgers |
Michael Zhang | HARBIN ENGINEERING UNIVERSITY | SR |
Michaela Mertes | F. Hoffmann-La Roche Ltd | natural history, progression, external control |
Michal Figurski | University of Pennsylvannia | UPenn, Leslie Shaw |
Michal Gandor | Politechnika Krakowska | machine learning research |
Michal Golovanevsky | Brown University | Alzheimer's disease, Deep learning, Transformers, Attention, Multi-modality |
Michalis Georgiou | University of Huddersfield | Alzheimer’s Disease Neuroimaging Initiative |
Michał Błotko | Silesian University of Technology | MRI, Alzheimer, Data Science |
Michel Audette | Old Dominion University | hippocampus, atrophy, prognostic biomarker |
Michel Koole | KU Leuven | SVM classification |
Michela Gravina | University of Naples Federico II | Deep learning, Biomedical image processing, multimodal learning |
Michela Venturini | KU Leuven, ITEC | Artificial intelligence, Survival analysis, multioutput |
Michele Calabrò | Università della Calabria | PRS Spark |
Michele Cavallari | Brigham and Women's Hospital, Harvard Medical School | amyloid, perivascular spaces, glymphatic |
Michele Furlan | Kaggle | Kaggle |
Michele Potashman | Biogen | patient population characteristics |
Michele Svanera | University of Glasgow | AD, Deep Learning, CNN, brain age estimation |
Michelle Chen | Rutgers University | Intra-individual variability |
Michelle Dunk | University of Wisconsin - Milwaukee | Cholesterol, APOE, amyloid-beta, tau, oxysterols, Alzheimer's disease |
Michelle Farrell | Massachusetts General Hospital | amyloid, early detection, PET |
Michelle Karker | University of Michigan | Classification; deep learning |
Michelle Karlsberg | Stanford University | Neural Network, Alzheimers |
Michelle Kassel | San Francisco VA Medical Center | aging, bilingualism, depression |
Michelle Kim | Biola University | widow, memory, depression |
Michelle Leckey | University of Illinois at Urbana-Champaign | cognitive aging |
MICHELLE LOPES | 12/07/1985 | AI, machine learning, alzheimer, neurodegenerative diseases |
Michelle Luo | University of Toronto | Computer science |
Michelle Nuno | University of Southern California | eligibility criteria, biomarkers, design |
Michelle Smulders | Vrije Universiteit Amsterdam | Cognitive Reserve |
Michelle Wong | Stony Brook University | Alzhemier's disease, Apolipoprotein E2, Apolipoprotein E4 |
Micol de Ruvo | Philyra UG | Parkinson's, olfaction, machine learning |
Midhun Rajeev | Sree Narayana College of Engineering | Deep learning model,swin unet |
Mighty Abra Ayidzoe | University of Electronic Science and Technology of China | Neural Network; Feature Engineering |
mignzhu xue | Southwestern University of Finance and Economics | Alzheimer’s disease;mild cognitive impairment |
Miguel Adolfo Caro Parrado | Universidad Nacional de Colombia | brain aging patterns |
MIGUEL ANGEL Fernandez | University of Cadiz | PET, image, machine learning |
MIGUEL ANGEL SANCHEZ RAZO | UNIVERSITY OF READING | data mining, brain age, brain aging, classification, Alzheimer's |
Miguel Ângelo Guerreiro | Instituto Superior Técnico | PET; MR; Graph theory |
Miguel Bocard | Texas A&M university | Analysis, Research, Statistics, Data |
Miguel Campos ROmero | University of Seville | machine learning, phd |
Miguel Elias | Instituto Superior Técnico - Universidade de Lisboa | Cancer, Deep Learning, Image Processing |
Miguel Garcia | Boehringer-Ingelheim | historical controls, placebo, disease modelling |
Miguel Labrador-Espinosa | Instituto de Biomedicina de Sevilla | Neuroimaging; Alzheimer; Parkinson; MRI |
Miguel Murillo | Militar University Nueva Granada | Study |
Miguel Pérez | UC3M | Disease |
Miguel Yus | Hospital Clínico San Carlos | MRI, diffusion, long covid, atrophy, |
Mihaela Nedyalkova | University of Sussex | Machine Learning, Alzheimer's disease, Generative adversarial networks |
Mihai Dumitrescu | University Politehnica of Bucharest | Homework |
Mihai Lucian Sandu | Polytechnic University Of Bucharest | Research - early diagnosis Alzheimer's Disease - graduation project |
mihály gayer | university of geneva, switzerland | master thesis, deep learning classification algorithm |
Mihir Patel | MosaicML | Genetech 404 Challenge |
Mihir Patil | Carle Illinois College of Medicine at UIUC | biomarkers, Alzheimer's, aging, hearing loss |
MİHRİBAN SOYKAN | istanbul arel üniversitesi | Alzheimer |
Mijin Park | Hanyang University | alzheimer's disease |
Mikail Rubinov | Vanderbilt University | fmri, genetics, networks |
Mike Kelleher | Lilly | amyvid |
Mike Malek-Ahmadi | Banner Alzheimer's Institute | FLAIR, white matter hyperintensity, cognition |
Mike Schmidt | NYSPI | hippocampus, atrophy, aging |
Mikkel Nygaard | Aarhus University | Segmentation, morphology, deep learning, atrophy |
Mikolaj Pawlak | Poznan University of Medical Sciences | Multiple Sclerosis, Alzheimer Disease |
milad alipour | shahid beheshti university of medical science | Convolutional neural network GCNN Alzheimer’s disease classification |
Milad Alipour | University of Tehran | brain network, brain diseases, AD, brain disorders |
Milad Jalilian | TUMS | Mild Cognitive Impairment ,Alzheimer |
milad najafzadeh | mashhad university of medical science | alzheimer |
Milad Seyfi | TUMS | 636281811919 |
Milad Tehrani | Amirkabir University of Technology - (Tehran Polytechnic) | Deep Learning, Machine Learning, MRI , Alzheimer |
Milad Yavari | Stanford University | Data Science |
Milan Fiala | UCLA | FDG scan, MRI, MMSE |
Milan Harindran | Nil | mri |
Milan Majtanik | Heinrich-Heine University | thalamus segmentation |
Milan Parikh | Boston University | computational analysis, physiological markers, scoring |
Milan Somani | Indian Institute of Technology (BHU), Varanasi | Super resolution, deep learning, Alzheimer's disease |
Milap Nowrangi | Johns Hopkins University | Financial Capacity, dementia, MCI |
Miles Berger | Duke University Medical Center | proteomics, CSF, Alzheimer's disease, MCI, cognition |
Milica Jankovic | University of Belgrade - School of Electrical Engineering | dynamic, PET, MRI, neuroimaging |
Milica Markovic | University of North Carolina at Chapel Hill | Alzheimer's neurodegeneration |
Milin 'Kim | NORMENT / University of Oslo | norment normative modeling |
Mimi Lou | University of Southern California | Alzheimer |
min gao | Shanghai Maritime University | Image genetics |
Min Hee Kim | University of California San Francisco | PSYMCA |
Min Hong | Yanshan University | Hm321654987 |
Min Hyuk Lim | Seoul National University Hospital | Latent Representations, Generative Models, Modeling for clinical courses |
Min Jeong Kwon | SNUBH | Dementia |
Min Jian | Nanfang Hospital | AD |
Min Jian | Nanfang Hospital | Adiponecitn, Alzheimer's disease, |
Min Jung Kim | Avid Radiopharmaceuticals | Safety Analysis |
Min Kang | Open Convergence Lab | ITRC, Machine Learning, Dementia |
Min Liu | Peking University | tau deposition, ApoE ε4, Mild Cognitive Impairment, quantitive PET, 18F-AV-1451, |
Min Liu | Xuan Wu Hospital | tau deposition, ApoE ε4, mild cognitive impairment, 18F-AV-1451, |
min liu | hospital | AD,neurology |
Min Lu | University Of Science & Technology Beijing | Alzheimer's disease |
min peng | Changzhou No.2 People's Hospital | Pathological mechanism,treatment |
Min Su (Peter) Kang | McGill University | PET, MRI, CSF, Plasma, Alzheimer's disease |
Min Tae Park | Douglas Mental Health University Institute | neuroanatomy, MRI |
MIn Wang | shanghai university | AD pet |
min wang | South-Central Minzu University | GNN |
Min Xie | Peking University | Deep learning, classification, fMRI, AD, MCI |
Min Xu | Kunming Institute of Zoology, Chinese Academy of Science | Alzheimer's disease, fine mapping of genome wide association study (GWAS) |
Min Young Chun | Samsung Medical Center | Alzheimer's disease |
Min Yuan | Anhui Medical University | Genetic association; PKPD |
Min Zhang | Arizona State Unversity | deep learning alzheimer's disease |
Min Zhang | University of Science and Technology of China | Neuroimaging processing |
min zhao | 重庆邮电大学 | fMRI,MCI,pet |
Min Zhao | Beijing Tiantan Hospital | AD MCI |
Min Zhong | Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine | structure, function, network, AD |
Min Zhu | Shandong Provincial Hospital | Alzheimer's disease, prediction model, blood, gene expression, APOE |
Min-Hee Lee | Korea University | Diffusion Tensor Imaging |
Min-Jeong Kim | Stony Brook University School of Medicine | microbleeds; diffusion tensor imaging; vascular; amyloid |
Min-Koo Park | Kangwon National University | genotype, protein biomarker, machine learning, algorithm |
Min-soo Han | KOREA University | Alzheimer's disease, metadata, transcriptome |
MIN-WOO LEE | NEUROPHET | Neuroimaging |
Mina Akrami | Bahonar | MRI images |
mina beigi | university of kerman | better life |
Mina Burns | London School of Economics | Survival analysis, machine learning |
Mina Ezzati Asl | Florida International University | Prediction Alzheimer multimodel |
mina ghadimi | Hamedan University of Technology | AD |
Mina Ghasemi | Islamic azad university | minasibanner2000 |
Mina Gholami | Tarbiat modares university | Alzheimer's disease diagnosis; Longitudinal analysis; Convolutional neural netwo |
mina kaffash | Islamic Azad University, Khomeini Shahr Branch | alzheimer |
mina kaffash | Islamic Azad University, Khomeini Shahr Branch | BOLD signal - Brain connectivity |
mina naseri nasab | birjand university | classification |
MINA NOURI | UNIVERSITY | brain, alzymer |
Mina Park | Gangnam Severance Hospital | MRI |
Mina Rizkallah | Darweesh Scan Center | Dementia, fMRI, DTI, PET |
Minal Patil | Stoller Middle School | neurodegenerative, AI |
minamidate takuya | 岩手県立大学 | MRI |
minato ryu | Mudanjiang Normal University | Machine Learning,Bayesian Classification |
Minbo Jiang | Yantai University | Alzheimer's Stycias;Attention |
MinChan Shin | Hoseo University | dimentia analysis, deeplearning, image segmenation |
Mincheol Park | Chung-ang University College of Medicine | white matter hyperintensities |
Minerva Carrasquillo | Mayo Clinic | CAA, neuroimaging, intracerebral hemorrhage, GWAS, cerebrovascular |
Minfang Xiao | University of Taipei | Computer-Aided System, Biomarker, Deep Learning |
Ming GU | Michigan State University | classification, Alzheimer's disease. |
ming jia zhang | harbin medical university | gene |
ming ke | Lanzhou University of Technology | brain disease |
ming L | Henan University of Technology | age |
Ming Li | Shandong University | age,sex and MRI |
ming wu | shandong university | AD brain network analysis |
Ming Zang | Ningbo University | Alzheimer’s disease classification, ensemble deep learning, generalization loss |
Ming Zhang | Shanghai Jiaotong University | PD, neuroimage |
Ming-Hui Chen | University of Connecticut | Uncertain endpoints; Measurement error; Validation subsample; Survival analysis |
Ming-Liang Wang | Shanghai Jiao Tong University | traumatic brain injury; mild cognitive impairment; MRI |
Ming-Ying Leung | The University of Texas at El Paso | bionformatics, computational analysis, genomics, proteomics, imaging data |
mingao tan | fuzhou university | deep learning |
Mingcheng Xi | BUAA | AI |
MingChin Hung | Soochow University | Biomarker, MRI, PET |
Mingfeng Jiang | Zhejiang Sci-Tech University | Deep learning, AD |
Minghan Chen | Wake Forest University | Amyloid, tau, neurodegeneration, CSF, PET |
Minghan Li | Dalian University of Technology | Deconvolution Alzheimer |
Minghan Yan | Changchun university | please!Thank you |
Minghao Chang | Fudan University | Deep Learning, Adversarial Training, Medical Imaging |
minghao chen | East China Normal University | Causal Mediation analysis, MRI data,Alzheimer disease |
Minghu Song | University of Connecticut | machine learning, biomedical application |
minghuan wang | Huazhong University of Science and Technology | glymphatic system,;cognitve decline; dementia |
Mingjia Li | East China Normal University | Causal discovery |
Mingjin Liu | Southwest University of Science and Technology | deep learning, PET,MRI |
Mingkang Song | Beijing Anding Hospital | Alzheimer; therapy |
MingKun Ji | 南京信息工程大学 | research |
Mingliang Wang | Nanjing University of Aeronautics and Astronautics | Medical Image Analysis, sMRI, Research |
mingliang yang | Beijing Institute of Technology | detection,classifiction,deep learning |
Mingming Wang | Jining NO.1 people's hospital | diagnosis |
Mingming Yang | Xi'an Jiaotong University | ADNI |
mingqi liu | Northeastern University | MCI classify |
MIngqi Wang | Fudan university | lipids, PET, lipid-lowering drug, AD |
mingrui ma | Jilin University | registration |
Mingrui Zhang | University of California, Berkeley | Correlation analysis |
Mingrui Zhou | University of Aberdeen | Project |
Mingu Kwak | Korea University | deep learning, multi-modal |
mingwei li | Qingdao University | Alzheimer’s disease; deep learning; image classification |
Mingxi Dang | Beijing Normal University | β-amyloid, Tau, neurodegeneration, Alzheimer's disease |
mingxia lu | tulane university | MRI ,AD |
Mingxia Wang | Fudan University | disese progression model |
Mingxiang Wei | Nanjing Medical University | Wmx_52017 |
Mingxiang Xu | Northeast Normal University | psychology |
Mingxiao Xie | Tsinghua University | white matter hyperintesities, FLAIR |
Mingxuan Yao | YCTU | machieve learning |
mingyang lee | Huazhong Agricultural University | good |
mingyang liu | Suzhou Institute of medical engineering, Chinese Academy of Sciences | classification |
mingyang tao | 辽宁工程技术大学 | 准确 |
mingyang Wu | Zhejiang University of science and Technology | unsupervised learning, deep learning, computer vision |
Mingyi Sun | Beihang University | Imaging Genomics, Machine Learning |
Mingyu Choi | Chung-nam National University | predicting Alzheimer gene variants using deep learning |
MinGyu Choi | Massachusetts Institute of Technology | Time series, Imputation, Deep learning |
mingyu du | Beihang University | 912811450 |
MinGyu Park | InceptionLab | Alzheimer's, AI, diagnosis |
MinGyu Park | Inceptionlab | Freesurfer, Alzheimer's disease, AI, |
Mingyuan Meng | The University of Sydney | Medical Image registration; Brain MRI |
Mingyue He | Beijing Tiantan Hospital, Capital Medical University | Alzheimer's disease |
Mingyue Hu | Central South University | prediction model |
Mingze Xu | Peking University | mri, fmri, dit, connectome |
mingzhe li | waseda university | classification |
Mingzhi Wang | Northeast Forestry University | AD,fMRI,AI |
Mingzhu Chen | Fudan University, Shanghai, China | computer-aided medical image analysis |
Mingzhu Chen | Fudan University, Shanghai, China | computer-aided medical image analysis, algorithm |
MINH HOANG GIA | Gwangju Institute of Science and Technology | Alzheimer's disease, electric medicine |
Minh Hoang Gia | Gwangju Institute of Science and Technology | Alzheimer's disease |
Minh Tuan PHAM | Fresnel Institute | MRI, PET, data fusion, autoencoder, Alzheimer |
Minhong Zhu | Soochow University | pmsdb23456 |
Minhui Yu | UNC at Chapel Hill | AD, SCD |
Minhyek Jeon | Korea university | alzheimer detection using machine learning |
MINJEONG CHO | ul National University College of Engineering | deep learning, classification |
Minjeong Kim | UNC Greensboro | image analysis |
Minjeong Kim | samsung medical center | dementia |
Minji Kim | Graduate School of Hanyang University | Imaging Genomics, Imaging Genetics |
Minji Kwon | Kyung Hee University | federated learning. |
Minji Park | Gachon University | BM3D algorithm, MR images, noise reduction |
Minji Park | General Graduate School of Gachon University | noise reduction, longitudinal study, AD diagnosis |
Minji Roh | University of Kangwon National | Rapid decline AD, prediction |
minjia cheng | Zhejiang University of Technology | AD |
MinJia Luo | 石家庄铁道大学 | Deep learning system |
MinJia Luo | 石家庄铁道大学 | Machine learning |
Minjianan Zhang | NWPU | correlation analysis |
Minjoo Lim | Korea university | denoising, deep learning |
Minju Jung | Ajou Univ | fmri, mri, alzheimer |
Minkyu Ahn | Handong Global University | Alzheimer's Disease, Random Forest, Magnetic resonance imaging |
Minkyung Lee | Inha University Hospital | PET, fmri |
Minlin Zeng | Nanyang Technological University | neurodegenerative disease diagnosis, monitoring, assessment. |
Minna Levine | Western New England University | cognitive resiliency, everyday functioning, |
Minnu Gopinath | self | DeepLearning Study |
Minoo Jafarlou | Kharazmi University | Deep residual network, Alzheimer’s disease diagnosis, MRI, Machine Learning |
Minos Kritikos | Stony Brook University | World Trade Center, Cognitive Impairment, PTSD, Cerebellum, Atrophy |
Minseo Kim | Korea Advanced Institute of Science and Technology | AD, MRI analysis |
Minseok Hong | Seoul National University College of Medicine | MCI, early diagnosis, MRI, PET, |
Minseok Park | KAIST | Deep Learning, Classification |
Minsoo Han | Alopaxalgo | Alzheimer's disease |
Minsu Kim | Hanyang University | Deep learning, Alzheimer’s Disease, Classification |
Mintao Liu | Purdue University | functional brain connectomics; dynamical functional connectivity |
Minwoo Kim | Michigan State University | Ising model, Variable selection |
minxiong zhou | sumhs | DTI,DKI,MAP,NODDI |
minyi wang | 电子科技大学 | 衰老, |
Minyoung Jung | University of Fukui | freesurfer |
Minyoung Oh | Asan Medical Center | PET quantitative analysis |
Minyu Chang | Cornell University | Fuzzy-trace theory; factor analysis |
Minzhe Hou | Dongzhimen Hospital,Beijing University of Chinese Medicine | alzheimer,gene,MRI,TREM2 |
Miquel Triana Iglesias | Novo Nordisk A/S | Machine Learning |
MIR AZRA | NIT Srinagar | DEEP NEURAL NETWORK, ACCURACY TEST |
Mir Mojtaba Mirsalehi | Ferdowsi University of Mashhad | deep learning, Alzheimer |
Miranda Lynch | Monash | perivascular spaces, tau, amyloid-beta |
Miranka Wirth | German Center for Neurodegenerative Diseases, Dresden | stress, risk factor, hypothalamic-pituitary-adrenal axis, neurodegeneration, ADN |
Miriam Ashford | NCIRE | Clinical |
Miriam Duran | Universitat Oberta de Catalunya | GWAS, Benchmark |
Miriam Rabl | Psychiatric University Hospital Zurich | Neuropsychiatric Symptoms, Alzheimer's Disease, Proteomics, Biomarker, Blood |
Miriam Ramos | ESTACIO DE SA | convolutive neural network, deep learning, machine learning |
Miriam Vignando | King's College London | transdiagnostic profiles; normative modelling; cognitive decline |
Mirko Signorelli | Leiden University | survival analysis; longitudinal biomarkers |
Mirko Zaffaroni | University of Turin | Neuroscience, neurodegenerativediseases |
Miroslava Cuperlovic-Culf | University of Ottawa | Machine learning; |
Mirsat Yeiltepe | Yildiz Technical | asada |
Mirthe Coenen | UMC Utrecht, The Netherlands | white matter hyperintensity, memory clinic patients, lesion symptom mapping |
Mirza Baig | University of Miami | Machine learning |
Mirza Faisal Beg | Simon Fraser University | MR, LDDMM, segmentation, registration, statistical shape analysis |
Mirza Shahzad | University of Gujrat | PTSD, healthy Control, Classification, detection |
Mirza Đešević | University of Sarajevo | Alzheimer's disease, brain structure, computational analysis |
Misba Firdose Fathima | Dayananda Sagar Academy Of Technology and Management | Alzheimer’s disease, Convolutional Neural Network (CNN), MRI |
Mishab c p | ktu university | Alzheimer's disease,MRI scans ,Random forest |
Misty Knight | UCLA | HLA, GWAS, dementia, FTD |
Mitali Meratwal | Indian Institute of Technology Bombay | ssm |
Mitch Wilkes | EECS Department, School of Engineering, Vanderbilt University | fMRI, avalanche |
Mitchel Kling | University of Pennsylvania School of Medicine | Stress, depression, disease biomarkers, disease progression biomarkers |
Mitchell Butler | University of Illinois at Chicago | technical training; neuroimaging; python |
Mitchell Woodbright | Central Queensland University | Explainable artificial intelligence, Deep Learning, Machine Learning. |
Mithil Khatait | Delhi Technological University | dementia analysis |
Mithilesh Prakash | UEF | Multimodal, machine learning, Longitudinal |
Mithra Sathishkumar | University of California at Irvine | medial temporal lobe, white matter hyper intensity |
MITHRA U S | AMRITA VISWA VIDYAPEETAM | ALZHEIMER |
Mitra Nematiandavari | Tarbiat modares university | Deep learning, Brain graphs |
Mitsunori Ogihara | University of Miami | Mining |
Mitu Ranjan | Krishna Institute of Engineering and Technology | Convolutional Neural Network, Deep Learning |
MIYOUNG OH | sejong hospital | MRI, MMSE, Alzheimer's dementia, mild cognitive impairment |
Mizanur Khondoker | King's College London | Machine Learning, Statististical Genetics, Imaging QTL |
MK SONG | Beijing Anding Hospital | Alzheimer; therapy |
Mm Wang | Nanjing University of Aeronuatics and Astronautics | ADNI |
Mo Gou | HNAM | Alzheimer;clinical diagnosis |
mo hyeonmin | ajou unversity | alzheimr |
mo rezaei | Sharif university of technology | Early detection of Alzheimers, Deep neural networks |
MO SU | Beijing Normal University | Alzheimer;brain;cognitive |
Moaiad Hussein | University of Jordan | Alzheimer's, Statins, Cognitive functions |
Mobarak Hossain Al-Mamon | Khulna University of Engineering & Technology | Mobarak1807113@ |
Mobassir Ahsan | East West University | hippocampus, semantic segmentation, deep learning |
Mobeena Jamshed | National University of Sciences and Technology, Islamabad | Data Analysis, Data Visualization, Classification |
Mobin Mohamadi | Iran University of Medical Sciences | Alzheimer-SUVR-Amyloid |
Mobina Fathi | Shahid Beheshti university of medical science | Alzheimer |
Mobina Keymasi | Sepahan Institute of Higher Education Science & Technology | Alzheimer's, Functional magnetic resonance images, Brain correlativity, Correlat |
Modupe Odusami | Covenant University ota, Ogun State, Nigeria | ADNI |
modupe odusami | Kaunas University of technology | multimodal, neuroimaging, alzheimer disease |
moein kermani zadeh tavakoli | kerman medical university | gap, TBM |
MOHA AHN | GONGTO | Alzheimer's Disease |
Mohaddese Mir | K. N. Toosi University of Technology | CNN, Alzheimer’s disease, ADNI, AIBL |
Mohamad Bahmanpour | Shahid Bahonar University of Kerman | MRI, Alzheimer disease |
Mohamad Habes | UPENN/UTHSA | machine learning |
Mohamad Habes | UTHSA | neuroimaging, deep learning |
Mohamad Hosein Mohamadi | sabzervar university of medical science | AD, Genetics, GSK-3B |
Mohamad Nazem | Monash University | ADNI3 Multishell DWI Control |
mohamad yamen Almohamad | university of tabriz | statistical models ,deep models, time serise |
mohamadreza askari | raja | machine learning |
Mohamed Abd Elaziz | Galala university | Deep learning |
Mohamed Abdelaziz | Shenzhen university | Alzheimer’s disease, multimodal data |
Mohamed Abdelsalam | Mansoura University, faculty of Engineering | fractal analysis, biomedical engineering |
Mohamed Abdelsamea | Birmingham City University | Deep learning; multimodal |
Mohamed Abu Sheha | University of South Florida | Dementia, Machine Learning, Statistical Modeling. |
Mohamed amine Jabli | National engineering sSchool of Sousse | alzheimer, deep learning,MRI |
mohamed bouizakarne | vub | Alzheimer |
Mohamed Elhanafy | engineering | deep learning ,Alzheimer’s disease, grad project |
Mohamed Eltaeb | NYU | machine learning |
mohamed farouk harraz | Drexel University | MRI AD ML |
Mohamed Farrag | Mohamed Farrag | Dementia AD FTD |
Mohamed Ghalwash | IBM Research | progression; personalized |
Mohamed Hafez | Cairo University | Graduation project |
Mohamed Hefny | Queen's University | Medical Data Analysis, MUltisource data integration, Disease Understanding |
Mohamed IBN KHEDHER | IRT-SystemX | Explainable Machien Learning, Deep Learning, Early detection, MRI |
Mohamed Kas | UTBM | Computer Vision |
Mohamed Mohamed | University College London | AI, Alzheimer’s |
Mohamed Nader Nader | Faculty of engineering , Helwan University | AD, Alzheimer, mild , very mild, moderated |
Mohamed Nennouche | Ecole Nationale Polytechnique | MRI Images, Alzheimer, classification, detection |
Mohamed Ramzy Ibrahim | Arab Academy for Science, Technology and Maritime Transport | Deep Learning, Medical Image Processing, Computer Vision, Data Mining |
Mohamed Said Derbel | Technical University of Munich | Keywords: Deep Learning, Connectome, Diagnosis |
Mohamed Salah Khlif | The Florey Institute for Neuroscience and Mental Health | Hippocampus, cognition, MRI |
Mohamed Saleh | University Hospital Bonn | hypothalamus, MRI, alzheime disease, neurodegenerative disease |
Mohamed YAMNI | FSDM | Segmentation, Hippocampes |
Mohammad A E K Emon | Janssen Pharmaceutica | GWAS, MR |
Mohammad Ahsan Khodami | Ural Federal University | Neuroscience, Machine learning, Data Analysis, |
Mohammad Akradi | Shahid Beheshti University | OSA, AD, MCI |
Mohammad Alam | Ulster University | assignment |
Mohammad Alfrad Bhuiyan | Louisiana State University Health Shreveport | Alzheimers, Cognitive |
mohammad alimorad | azad | datamining |
Mohammad Almerri | Indiana University Purdue University Indianapolis | Explainability, Aritifical Intelligence |
Mohammad Amin Sadeghi | Tehran University of Medical Sciences | machine learning, deep learning, dementia |
Mohammad Amin Salehi | Tehran University of Medical Sciences | tau, amyloid-β, functional connectivity |
Mohammad Amin Sattar | Isfahan university | Dementia, Alzheimer’s Disease |
Mohammad Amran Hossain | University of Camerino | Alzheimer, Deep learning, MRI |
Mohammad Amzad Hossain | BlueBlees Ltd. | deep learning |
Mohammad Asadi | Babol Noshirvani University of Technology | Diagnosis of Alzheimer's disease |
Mohammad Ashourzadeh | Allameh Tabataba'i | Deep learning, Time series, Explainable AI |
Mohammad Badhruddouza Khan | Khulna University of Engineering & Technology | Multimodal analysis |
Mohammad Bagher Khodabakhshi | Hamedan University of Technology | Medical image analysis, Biomedical engineering |
mohammad Balabandian | Iran university medical sciences | alzheimer |
mohammad bdaqli | tabriz university | AD |
Mohammad Farazi | Arizona State University | 3D mesh, ADNI, classification |
Mohammad Golbabaee | University of Bath | compressed sensing, machine learning |
mohammad hossein | iran | medical image pricessing |
Mohammad Hossein Badiei | Tehran University | Disease Prediction, Artificial Intelligence |
mohammad kamyabi | school | ADNI |
Mohammad Keshavarzi | Shahed University | Alzheimer's disease, Risk factors, Dementia |
Mohammad Khaja Mushtaq | USC | Synthetic Data, Machine Learning, Deep Learning, Auto Encoders, U net models |
mohammad khalafi | Tabriz University of Medical Sciences | Alzheimer's disease, Radiomics, vitreous body |
mohammad khedmati | university of birjand | alzheimer, machine learning, |
Mohammad Mahdi Setak | Beheshti University | Alzheimer, Deep Learning, CNN, Classification |
Mohammad Mahmoodi | Kurdistan medical science university | Medical doctor, multimodal, AI scientist |
Mohammad Meraj Khan | BRAC University | Deep SE Net, transfer Learning |
Mohammad Mohammadi | IUMS | neuroimaging analysis - data analysis - big data |
mohammad nili | Tehran | alzheimer |
Mohammad Rahman | Independent | Alzheimer |
Mohammad Rakeen Niaz | Illinois Institute of Technology | template, atlas, older adult, aging, high resolution |
Mohammad Ratul Mahjabin | Islamic University of Technology | unsupervised Domain adaptation, ADNI |
mohammad reza Zakaryazde | Iran | cnn |
Mohammad Roustaei | IHU | Alzheimer's disease diagnosis |
Mohammad Ruhen Hossain Bhuiyan | Leeds Beckett University | Feature engineering, dimensionality reduction, supervised algorithms, dementia p |
Mohammad Sabati | KUMC | DTI, SWI, QSM, MRSI |
Mohammad Sadegh Fallahi | Tehran University of Medical Sciences | Alzheimer's disease, Glial fibrillary acidic protein (GFAP) |
mohammad salehi | Iran university of Medical Science | deep learning - alzheimer’s disease |
MOHAMMAD SAMEER | JNTUK UNIVERSITY COLLEGE OF ENGINEERING VIZIANAGARAM | Neuroimaging, Biomarkers, Deep learning , MRI , PET ,Convolutional neural networ |
mohammad shahid | National Taipei University of Technology, Taiwan | machine learing , transformer, CNN |
Mohammad Solaiman | Islamic University of Technology | MRI |
Mohammad Taghvaei | upenn | white matter lesion, brain connectivity |
Mohammad Taha Pahlevan Fallahy | Tehran University of Medical Sciences | AD-MCI |
Mohammad Taha Pourmohammad | SDU | AD, PET, FDG, PIB |
Mohammad Tahsin | BRAC University | Machine Learning, Deep Learning, Classification |
Mohammad Zavid Parvez | Engineering Institute of Technology | Alzheimer's Disease, Neuroimage, MRI, fMRI, Deep Learning |
Mohammad-Erfan Farhadieh | University of Isfahan | expression quantitative trait loci (eQTL), Alternative splicing, Molecular mecha |
Mohammad-Reza Siadat | Oakland University | Medical Image Processing, Alzheimer's Disease |
Mohammadali Javanray | McGill University | Alzheimer Brain Biomarker |
Mohammadali Rastin | K. N. Toosi University of Technology | MRI, Alzheimer, Deep learning |
mohammadreza alizadeh | university of guilan | saeed1500 |
mohammadreza alizadeh | university of guilan | Alzheimer's disease |
Mohammadreza Alizadeh | Iran University of Medical Sciences | Depression, Alzheimer's disease, MRI |
mohammadreza ghorvei | tarbiat | deep learning |
Mohammadreza Naderi | isfahan university of technology | image segmentation |
Mohammadtaha Parsayan | Southern Denmark University | PET |
Mohammed A M Abdullah | Ninevah University | fMRI, machine learning, AD, classification |
Mohammed AboArab | Facullty of Engineering, Tanta University | deep learning, unsupervised learning, affine image registration, deformable imag |
Mohammed Abuelem | Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imag | APOE4, mild cognitive impairment, amyloid plaque burden |
Mohammed Aburidi | University of California Merced | domain adaptation, domain shift, medical image analysis, deep learning |
Mohammed Ahmed | Sudan international university | Alzheimer's, detection,MRI, |
Mohammed Alghamdi | The University of New South Wales | SVD, Dementia, Alzheimer's, fMRI, Cognitive Decline |
Mohammed Alom | Cork Institute of Technology | Machine learning, Deep Learning, |
Mohammed Alsaati | Mosul university | skill stripping |
Mohammed Alsubaie | University of Newcastle | ALZHEIMER DETECTION |
Mohammed Elgwely | University College London Hospital | Hippocampus segmentation |
Mohammed Elsayed | FCI | AD |
MOHAMMED EZHAN | Sri Jayachamarajendra college of engineering | Alzheimer's disease, Prediction, Classification |
Mohammed Isam Al-Hiyali | UTP | diagnosis model |
Mohammed Janahi | UCL | Nomogram Hippocampus Volumes AD UKBioBank |
Mohammed Kamran | Technical University of Munich | Classification |
Mohammed Mahmoud | AIN SHAMS UNIVERISTY | zahaimer |
Mohammed Rajab | The Sheffield University | Dementia, Alzheimer’s, Feature Selection, Machine Learning, Neuropathology, Beta |
Mohammed Saleh | Leiden Academic Center for Drug Research | Aging - pharmacokinetics - brain |
Mohammed Samy | faculty of computer and information sciences ain shams | graduation project,object detection,Alzheimer disease |
Mohammed Saqib | NIH | Controls, Parkinson's Disease |
Mohammed Shaheer | Matt | Deep learning ,python,machine learning,alzeimer |
Mohammod Abdul Motin | RUET | EEG, AD, MCI |
Mohan Bhandari | Nepal College of Information Technology | Dementia, Early Prediction |
Mohan kumar | Emd systems Software Pvt Ltd | Radiogenomics research |
Mohan Ram M | Sri Ramakrishna Engineering College | medical,Alzheimer |
Mohana Singh | TCS | deep-learning |
mohcine Miftah | Institut National Des Postes et Telecommunication | PowerBI, Time Series |
Mohd Halim Mohd Noor | Universiti Sains Malaysia | machine learning, deep learning |
Mohd Hanafi Ali | The University of Sydney | Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive |
Mohi Inshathullah | Munster Technological University | Image Registration, Neural Network, Deep Learning |
Mohimanul Islam | United International University,Bangladesh | Classification, computer vision |
Mohini Patel | Government Engineering College, Gandhinagar | deep learning |
Mohit Chauhan | IIT Indore | survey, literature |
Mohit Gupta | BITS Pilani | Alzheimer's Classification |
MOHIT KAUSHIK | VELLORE INSTITUTE OF TECHNOLOGY | ALZHEIMER |
Mohit Maldikar | Ramrao Adik Institute of technology | Early Detection of Alzheimer disease using deep learning. |
Mohit Manchella | Indiana University | Alzheimer's Disease, EMCI, [18F]Florbetapir PET |
Mohit Thazhath | Virginia Tech | Computer Vision, CNN, Deep Learning |
Mohsen Davoudkhani | University of Tehran | Memory, Cognitive impairment, neuroimaging |
Mohsen Ghofrani-Jahromi | Monash University | Machine/Deep Learning |
Mohsen Hejrati | Genentech | Deep Learning, Progression Prediction |
Mohsen Kazemian | AUMS | Machine learning |
Mohsen Mobasseri | IRICSS | brain age -deep learning - MRI |
mohsen musavi | eyvanaki | MRI |
mohsen parsa | University of Tehran | neuroscience, computational neuroscience |
Mohsen Rahmanian | Shiraz university | Machine learning, deep nearal network, multimodal data |
Mohsen Rezapour | University of Texas, Health science center at Houton | Diffusion maps |
Mohsen Sedighi | Iran University of Medical Sciences | Alzheimer’s Disease, Cortical volumetry, Brain perfusion |
Mohsin Imam | University of Delhi | Deep Learning |
Moises Fernandez Garcia | MGH | Machine learning, Deep learning |
Moiz Shaikh | Balochistan University of Information Technology, Engineering and Management Sci | Alzheimer's Disease, CapsNet , Machine Learning , Final Year Project |
Mojeed Oyedeji | King Fahd University of Petroleum and Minerals | Alzheimers |
Mojib Javadi | Indoc Research/OCBN | data structure, data sharing, data visualization |
Mojtaba Jafaritadi | Stanford University | PET |
Mojtaba Zarei | Southern Denmark University | Alzheimer, PET, MRI |
Mollie Carruthers | Victoria University of Wellington | Epistasis, GWAS, Bioinformatics, Alzheimer's, SNPs |
Molly Hall | Pennsylvania State University | Metabolomics, genomics, multi-omics integration |
Molly Mather | University of Massachusetts Amherst | aMCI; Alzheimer's disease; neuropsychiatric symptoms; disease progression |
Molly McKinney | The Ohio State University | multimodal MRI, predictive modeling |
Moloud Abdar | Institute for Intelligent Systems Research and Innovation (IISRI) | deep learning, Fusion, uncertainty quantification |
Momiao Xiong | University of Texas School of Public Health | association, interaction analysis, statistic and dynamic causal networks. |
Mominul Islam Rasel | Rajshahi University of Engineering And Technology | One-Shot Learning, CNN, Siamese Neural Network |
Momoka Hoshiko | FUJITA HEALTH UNIVERSITY | Mild Cognitive Impairment |
Momoka Sato | Ajinomoto | 8SI94 |
Mona Alnaggar | Artificial Intelligence faculty | CNN classification |
mona ashtari | polytech | Alzheimer’s disease- MCI- classification |
Mona Taghizade Salari | Ferdowsi University of Mashhad | Alzheimer's disease, biomarkers |
Monachary Kammari | University of Hyderabad | hub node detection, |
Monia Cabinio | IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente | AD, HC, structural MRI, functional MRI |
Monica Garibay | OHSU | connectivity, biomarkers, |
Monica Hernandez | University of Zaragoza | Computational Anatomy |
Monica Javidnia | University of Rochester | imaging, parkinson's, alzheimer's, dementia |
Monica KP | Dayananda Sagar Institutions | inception-V3 ,Convolutional Neural Network |
Monica Munnangi | University of Massachusetts Amherst | Deep Learning, RNN |
Monica Nelson | University of South Florida | cognitive reserve,retirement,occupational complexity,MRI,cognitive performance |
MONICA PARKER | Emory | African American Participation in ADNI |
Monica Truelove-Hill | University of Pennsylvania | tau, amyloid, neuroimaging |
Monica Truelove-Hill | University of Edinburgh | PET; cognitive reserve; dementia |
Monika Grabowska | Vanderbilt University | computational drug repurposing, clinical validation |
monika jyotiyana | central university of rajasthan,Bandarsindri | AD,neurodegenerative disorders, |
Monika m | Panjab University | AD MCI CN SVM CAD |
Monika Sethi | Chitkara University | ADNI dataset |
Monique Salib | Università di Pisa | student project data mining |
Monir Changizi | Shahidbeheshti university | sleep,insomnian,alzheimer's disease,dementia |
Monireh Taimouri | University of Cincinnati | Alzheimer Disease, FMRI, Brain Signature, Brain Connectivity. |
Monjur Hasan | North south university | Early Detection of Alzheimer's Disease using Deep Learning |
Monserrat Rivera | Universidad Autonoma de Queretaro | Morfología matemática, Alzheimer, corteza cerebral. |
Monsuru Durojaiye | Austin Peay State University | Cognitive Impairment, cognitive decline, dementia |
Moo Chung | University of Wisconsin-Madison | TDA |
moo zhang | SHANDONG normal university | MRI |
Moona Mazher | University College London | MRI, CT, Blood, PET, Alzheimer's |
Moonhyun Lee | Hanyang University | Medical Image Generation, Alzheimer Detection |
Moonil Kang | Boston University School of Medicine | Pleiotropy, Cognitive Domain, Brain MRI, GWAS |
MoonSae Lee | Anhui University | Alzheier Disease |
mophy chan | jeonbuk national university | Alzheimer's Disease, deep learning, improve |
Morgan Levine | Yale University | DNA methylation, lipidomics, APOE |
Morgan Ruffner | University of Michigan | clustering, dimensionality reduction |
Moriah Sokolowski | Baycrest Hospital | Brain Health, Occupation, STEM, Cognitive Reserve |
Moritz Binzer | Technical University of Munich | stroke, dementia |
Moro abdelhamid | Ain Shams University | epistasis and SNPs |
Morphy Von | Macau University of Science and Technology | machine learning, metabolic pathway, survival analysis |
Morteza Amini | Institute for Cognitive Science Studies | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Morteza Amini | Shahid Beheshti University | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Morteza Fattahi | Tehran | white noise-based, recurrent neural network, Alzheimer |
Morteza Mohammadzadeh | Iran university of medical sciences | machine learning statistical learning |
Morteza Nazari | Sabzevar University of Medical Sciences | Alzheimer's disease- Depression- Brain structure changes |
Morteza Nazari Khiji | Sabzevar University of Medical Sciences | Alzheimer disease, MR infarcts, GAP-43 |
Morteza Noohpisheh | Shiraz University | Learning |
Morteza Rahimi | Florida International University | Alzheimer's Disease, Disease Staging, Machine Learning, Neurological Conditions |
Mosab Khalil | üsküdar university | Alzheimer detection machine learning |
Mosammat Rumana Sultana | University of South Dakota | ADNI Dataset(Alzheimer's diseases) |
Mosbah Aouad | University of Illinois Urbana-Champaign | Uncertainty, Disease Progression Modelling, Machine Learning |
Moslem Afrashtehmehr | Shahid Beheshti University of Medical Sciences | Alzheimer’s Disease Diagnosis, Decision Support System, Computer-Aided Diagnosis |
Moslem Asgari | ATA | Statistics |
Mostafa EL HABIB DAHO | University of Tlemcen | Alzheimer, ADNI, Deep Learning, Classification, Explainable AI |
Mostafa Mehdipour | University of Copenhagen | DEMENTIA MODELLING, Alzheimer's disease, PhD |
Mostafa Mirbagheri | Tehran university | Alzhiemer, AD, |
Mostafa Reisi Gahrooei | University of Florida | Tensor analysis, robust tensor decomposition, robust feature extraction |
mostafa zaier | faculty of engineering | Alzhimers-Disease-Prediction |
mostafa zandi | university of khurazmi | Alzheimer's disease , machine learning , classification |
Motahare Delbari | Tubingen university | neuroscience |
motahareh bijarchian | refah university | Alzheimer's |
Motonobu Fujishima | National Center of Neurology and Psychiatry | differential diagnosis; Alzheimer's disease; FDG-PET; MRI |
Mouhamadou Naby DIA | Ecole Polytechnique de Thiès | computer vision |
Mouloud IFERROUDJENE | Institut Henri FAYOL - École des Mines de Saint-Étienne | Expiriment, CLEP, Knowledge Graph Embedding, ADNI Data |
Moumita Chakraborty | The University of Texas MD Anderson Cancer Center | Statistical modeling; Network; Genomics; Brain imaging; |
MOUNIKA ALLA | Chennai Institute of Technology (CIT), Kundrathur | ALZHIMERS BLOOD PLASMA |
Mousa Mustafa | TU Berlin | deep learning |
mousa shamsi | Sahand University of Technology | image processing, Segmentation |
Mowen ZHANG | Shandong Normal University | ADNI |
Moyez Dharsee | Ontario Cancer Biomarker Network | integration, analysis |
Moyu Zhaung | 兰州交通大学 | image registration |
Mozhan Salehzadeh | Ahvaz Jondishapur medical science | cognitive , biomarkers , lipoproteins , metabolite , |
Mr Sahid | Hajee Mohammad Danesh Science and Technology University | Alzheimer |
mr xk | ahu university | experience |
Mradul Agrawal | IIT Kharagpur | 3D Convolution |
Mritunjoy Chakraborty | North South University | Machine Learning,Deep Learning |
Mrityunjay Kumar Chauhan | Indian Institute of Engineering Science and Technology, Shibpur | Alzheimer's,ADNI,MRI |
Mrunal Rane | NMIMS | Dementia, Alzheimers |
Mrunali Desai | Somaiya University | Alzheimer |
Mst Tasnim Pervin | University of Nevada, Reno | alzheimer |
mu si | Shandong First Medical University | wmh |
MU TIAN | Shenzhen University | hippocampus, segmentation, classification |
Muazzam Maqsood | COMSATS University Islamabad, Attock Campus, Pakistan | Deep Learning, Modality Fusion, Alzheimer's stage detction |
Muazzez Buket Darıcı | Kadir Has University | Brain Age Estimation, Artificial Intelligence, Predict Alzhmeir |
Mubeen Ali Mohammed | National College of Ireland | Neural Networks, Deep Learning, Dementia, Image Processing |
Mubeen Ali Mohammed | National College of Ireland | Dementia, NeuroImaging Modalities, VGG19, CNN |
muco findik | Malmö | Artificial Intelligence, Machine Learning, EEG data |
Mudassar Liaq | Jeju National University | Machine Learning |
Mudathir Bakhit | Fukushima Medical University | DLPFC, tractography, connectome |
Mufti Mahmud | Nottingham Trent University | Machine Learning, Deep Learning, Alzheimer's Disease |
Mugdha Joglekar | MITCOE | Deep Learning , MRI, PET |
Mughis Ahmed | UOG | Multiple sclerosis |
Muhamed Barakovic | F. Hoffmann-La Roche AG | Diffusion MRI |
Muhammad Abdullah Khalid | Northumbria University | Alzheimer's disease prediction |
Muhammad Adnan | University of Sialkot | Alzheimer’s Disease, Data Mining, Deep Learning, Healthcare, Classification |
Muhammad Ahsan Rasheed | Iqra University | NAN |
Muhammad Ali | Washington University in St. Louis | Amyloid, Imaging, GWAS, genetic, biomarker, AD. |
Muhammad Amirul Aiman Asri | University Malaya | IQA, MRI |
Muhammad Ammar Malik | University of Bergen | Imaging genetics, deep learning, GWAS |
Muhammad Asif | COMSATS University Islamabad | Deep Learning, Diffusion Model |
Muhammad Danial Hazeem Mohamad Fardros | University Technology Malaysia | Alzheimer Disease Classification using SVM and CNN |
Muhammad Faisal | King Fahd University | Tadpole Challenge Data |
Muhammad Faizan Malik | National Yunlin University of Science and Technology | Hammerstein Non Linear System Identification |
Muhammad Faraz Ahmad | Riphah International University Faisalabad | Alzheimer’s Disease |
Muhammad Fathi | Universiti Tun Hussein Onn Malaysia | Alzheimer's Disease |
Muhammad Girach | Nottingham Trent University | MRI, Convolutional Neural Networks, Keras, Deep Learníng |
Muhammad Hablul Barri | Telkom University | alzemier |
Muhammad Hanif | Ghulam Ishaq Khan Institute | Alzheimer's , fMRI, MRI |
Muhammad Haque | University of Texas, McGoveern Medical School | ASL, Stroke |
Muhammad Haris | Lahore University of Management Sciences | Machine learning, fairness, accuracy |
Muhammad Haroon Akram | Bahria University Islamabad | ALPHA |
muhammad irfan | Western Sydney University | MRI, prediction, PET, MMSE, Cognitive tests, Machine learning |
Muhammad Jahanzeb Khan | University of Nevada, Reno | medical analysis, federated learning, pattern recognitions |
Muhammad Jauhar Hakim | Universitas Indonesia | Survival Analysis and Deep Learning Research |
Muhammad Kawish | Szabist | classification |
Muhammad Khalid | Northumbria University | Alzheimer’s disease detection using deep learning |
Muhammad Khokher | university of wollongong | alzhiemer disease detection |
Muhammad Muinul Islam | Khulna University of Engineering & Technology Khulna-9203, Bangladesh | PET Imaging, Teaching, Sample data |
Muhammad Nawaz Khan | COMSATS UNIVERSITY ISLAMABAD | AD |
Muhammad Osama Khan | New York University | machine learning, self-supervised learning, alzheimer's |
Muhammad Sajjad | Al-khawarzmi institute of computer science | GAN, MRI, PET, Brain, CT, U-NET |
Muhammad Shazal Javed | Ghulam Ishaq Khan Institute of Engineering Sciences and Technology | Alzheimer detection and classification using AI |
Muhammad Suleman | Middle East Technical University | Multi-Modal Data, Graph Neural Network |
Muhammad Suzaki Zahran | Raharja University | CNN 3D Model, Alzheimer's Prediction |
Muhammad Syaekar Kadafi | Universitas Airlangga | Alzheimer; Machine Learning; |
Muhammad Touseef | National University of Computer and Emerging Sciences | PET CT MRI |
Muhammad Umar Khan | University of Engineering & Technology (UET), Taxila | Empirical Mode Decomposition, Feature Extraction, EEG, Feature Selection |
Muhammad Umar Khan | University of Engineering and Technology Taxila | Alzheimer’s disease, Deep learning, Brain MRI, Machine Learning, HFSR, ALCQP |
Muhammad Umar Khan | COMSATS University Islamabad | Detectiona and Classification, Alzheimer’s, Machine learning, AI |
Muhammad Usama Mirza | Bilkent University | machine learning, computer vision, image synthesis |
Muhammad Usman Sadiq | UNC CH | Deep learning, Aging, ALzheimer's, Redundancy |
Muhammad Waqas Malik | PAF KIET | SVC Kernel, GAN , CNN |
Muhammad Waseem | University of Baltistan, Skardu | Machine Learning, Data Analysis, Deep learning |
Muhammad Wasim | Karachi Institute of Economics and Technology | Alzheimer Disease, Machine Learning, Deep Learning |
Muhammad Zaid Naeem | khawaja Fareed university of engineering and Information Technology | Early Diagnose,Machine Learning Models |
Muhammad Zubair | Antalya Bilim University | Deep Learning, Convolutional Neural Network (CNN) Magnetic Resonance Imaging (MR |
Muhammad Zubair | Comsats University | Dataset |
Muhammad Zubair | Pennsylvania State University | Alzheimer disease, deep convolutional neural networks |
MUHAMMAD ZULQARNAIN | MANCHESTER UNI | ALZHEMIER |
Muhammd Zahid Hussain | Riphah International University | Exploring alzheimer's disease |
Muhammed Alperen Horoz | Firat University | Alzheimer |
Muhammed Althaf | Cochin university of science and technology | MTECH project, Alzheimer disease early detection |
MUHAMMED NADIR T B | P.A.COLLEGE OF ENGINEERING | Dimentia detection |
MUHAMMED NIYAS K P | Central University of Tamilnadu | research |
Muhammed Patel | IIT Kharagpur | slicer3d, dicom, medical imaging |
Muhammed Talo | Software Engineering Department at Firat Un. | deep learning |
Muhammed Talu | İnönü Üniversitesi, Bilgisayar Müh. | MRI |
Muhang He | Shanghai Jiaotong University | Rgistration Research |
mujiang deng | Beijing University of Aeronautics And Astronautics | deep learning model |
Mukarramah Yusuf | Hasanuddin University | biomedical compuatation |
Mukesh Dhamala | Georgia State University | Infra-slow network activity and time delays |
Mukesh Yadav | University Of Tulsa | Deep Learning, Domain Adaptation, Machine Learning |
Mukul Kumar | Vellore Institute of Technology | texture, CNN, fusion, feature |
MUKUN GUO | Nanyang Technological University | Cross-modality, domain adaptation |
Mulualem Wordofa | AAU | semantic multimodal retrieval |
MÜMİNE KAYA KELEŞ | Adana Alparslan Turkes Science and Technology University | Alzheimer Disease; Brain Volumetric Data; Classification; Artificial Bee Colony |
Mumtaz Zahoor | PIEAS | Alzheimer's , machine learning |
Muneyuki Sakata | Tokyo Metropolitan Institute of Gerontology | J-ADNI, PIB |
Muntarin Rahman | BUP | Alzheimer's detection, Machine learning, deep learning |
Muntasir Sheikh | Indian Statistical Institute | fMRI, PET, SNP |
Murad Al-Nusaif | Dalian medical university | AD |
murali krishna | Potti SriRamulu Chalavadi Mallikarjuna Rao College of eng.Tech | machine learning, segmentation, classification |
murali Lakshmanan | P.A.College of Engineering and Technology | structural analysis |
Murali Ramanathan | University at Buffalo | Artificial intelligence, disease progression |
Muran Tang | Newcastle University | Machine Learning, MRI |
MURAT AŞIK | ISTANBUL MEDENIYET UNIVERSITY | DTI |
Murat Bilgel | National Institute on Aging | FDG, amyloid, DTI, MRI, atrophy, longitudinal |
Murat UÇAR | İskenderun Technical University | deep learning |
Murukessan Perumal | National Instituite of Technology Warangal | Medical Imaging |
Musa Gabere | Mayo | Magnetic Resonance Imaging, Positron emission tomography |
Musa Gabere | Arizona State University | Alzgeimers |
Musfiquer Rhman | BUBT | machine learning |
Mushfiqul Alam | CMED Health | Alzheimer |
Muskan Kothari | PES University | Dementia, Multimodel, AD, FTLD, Speech, Linguistic Features, MRI, PET |
Muskan Kothari | PES University | image processing, multimodal, cognitive impairments, machine learning, MRI, PET, |
muslima jahan | University of skovde | biomarker |
Mustafa Cetin | Intel | multi model data set |
Mustafa Dere | UNCG | deep learning |
mustafa jumaili | karabuk university | alzheimer , brain , mri |
Mustafa Rabi | UPM | Data Imputation, Missing Values, Data Quality, Machine Learning, Healthcare |
Mustafa Sameer | National Institute of Technology Patna | deep learning, Alzheimer detection |
Mustafa Uludağ | Sakarya University | Deep Neural Networks,Machine learning,MRI,Alzheimer Disease, |
Mustapha Bouhrara | NIH | Neurite density index; NODDI; MCI; Alzheimer’s disease; White matter. |
Musyyab yousufi | Kaunas University of Technology | AI, Dementia. |
Muthukumar Lingapandian | Cognizant Technology Solutions | Deep Learning, ADNI |
Muwei Li | Vanderbilt University Medical Center | Resting state, AD, functional network |
Muy Liao | Jinan University | Survive Analysis, 3DcGAN |
MUYAO JIANG YAFEI JIANG | HEBEI Univercity | MRI |
muyuan wu | Xiamen University of Technology | image segmentation |
Muzamil Anwer | Bahria University | 335630 |
Muzzammil Khan | MIT, MANIPAL | Alzheimer’s disease, Neuroimaging, Machine learning, Biomarkers, MRI, PET |
My Nguyen | University of Science | AI |
My Nguyen | Ho chi minh university of science | AI, machine learning |
Mychael Lourenco | Federal University of Rio de Janeiro | metabolites, hormones, memory function, mitochondrial function |
Myeonggyun Lee | NYU Grossman School of Medicine | biostatistics |
Myeongju Kim | Ewha Womans University | brain age, deep learning |
MYEONGKYUN KANG | DGIST | Alzheimer's disease, Deep learning, large language models |
Mykola Petrenko | Taras Shevchenko National University of Kyiv | Artificial intelligence (AI); Machine Learning (ML); Neurodegenerative diseases, |
Mykyta Hupalo | KPI | bio |
Myles LoParco | McGill | resting-state functional connectivity menopause aging cognitive decline |
Myrellen Merry | Avid Radiopharmaceuticals | Flortaucipir / analysis |
Myriam Fornage | University of Texas Health Science Center at Houston | Small Vessel Disease; brain MRI; white matter hyperintensity |
Mythily S.A | P.A. College of Engineering and Technology | 500 |
mythri v | IIIT Hyderabad | super resolution |
Myung Ho Kim | JEI University | ML |
Myung Ho Kim | JEI University | ADNI,progression |
Myung Ho Kim | Chung-Ang University | ADNI,progression,Korean |
Myunghwa Shin | LG CNS | deep learning model |
Myuri Ruthirakuhan | Sunnybrook Research Institute | neuropathology, biomarkers, TDP-43, tau, amyloid, Alzheimer's disease, MCI |
Myuri Ruthirakuhan | Sunnybrook Research Institute | Metabolic syndrome, dementia, biomarkers |
N. Maritza Dowling | University of Wisconsin-Madison | Diagnostic Classification Models, Computerized Adaptive Testing, ItRT |
Na Hyun Park | Weill Cornell Medical College | mammillary bodies, MCI |
Na Liu | Tianjin University | scientific research, classification, deep learning |
Na Sun | Massachusetts Institute of Technology | multimodal study, AD, cell-type-specific dysregulation |
Na Ta | Southeast University | AD EEG |
Na Young Shin | The Catholic University of Korea, Seoul St. Mary's Hospital | Alzheimer's disease, glymphatic system |
na zhang | sountheast university | cognitive function; models |
Naba Ashraf | GCUF | ASD |
Nabarun Sarkar | IISc Bangalore | Alzheimer,predict,machine learning |
Nabeela Ibrahim | JHU APL | Precision Medicine, Alzheimer's, Brain Imaging |
Nabila Rahman | GSK | biomarkers, precision medicine, translational strategy, patient stratification |
Nabila Sabrin Sworna | United International University | Machine learning, Alzheimer's disease, Image processing, Healthcare |
Nabila Sultan | University of Texas at Austin | Cancer, Alzheimers, Metabolic Syndrome |
Nabin Koirala | Haskins Laboratories | Access request |
naciye nur arslan | dumlupinar university | deep learning,alzheimer |
naciye nur arslan | dumlupinar university | deep learning, alzheimer disease |
Nada Alamoudi | University of Edinburgh | WMH, Brain atrophy |
Nada Elmasry | CAIRO UNIVERSITY | AI, Deep Learnin, Machine Learning, Data analysis |
Nada Elmasry | CAIRO UNIVERSITY | AI, Deep Learnin, Machine Learning, Data analysis |
Nada Elshennawy | Faculty of Engineering, Tanta University | Alzheimer’s Disease classification, Segmentation, deep learning |
Nada Elsokkary | Khalifa University of Science and Technology | AD diagnosis, deep learning, textural analysis |
Nada Nader | RA | Classification AD |
nadav friedmann | cassavasciences | decline over time |
Nadav Rakocz | university of california los angeles | Alzheimer's, deep learning, machine learning, risk scores |
Nader Morshed | Boston Children's Hospital | Complement |
nader razmara | Amirkabir University of Tecchnology | ALZHEIMER |
Nadia Brancati | National Research Council of Italy | image processing |
Nadia Mohsin | University of Kufa | AD, Deep Learning |
Nadia Naderi | Tehran University of Medical Sciences | Alzheimer's disease - Dementia - genetics - imaging- PTSD |
Nadine Hassan | German University in Cairo | Alzheimer Bachelor project |
Nadja Bekele | EY | Deep Learning, Recurrent Neural Networks, Reinforcement Learning |
nadra ben-romdhane | MIRACL | alzheimer |
Naeema Bibi Mamode Ally | University of Mauritius | Dementia, Computer Vision, Artificial Intelligence, Attention Model |
Nafisa Anjum | Chittagong University of Engineering & Technology | Alzheimer's, applied machine learning |
Nafiz Sheikh | Augusta University | Alzhimer, dementia, predictive, prognostic, risk factors |
Naga Akhil ES | PES University | Alzheimer's Disease |
Naga Jyothirmayee Dodda | University of Windsor | Machine learning; Alzheimer; Artificial Intelligence |
Nagaendran Kandiah | National Neuroscience Institute | dementia, stroke, small vessel |
nagajaya mathi | JNTUH | machine learning, medical imaging, deep learning, cross media data for training |
Nagalikhitha Reddipalli | Hamburg University of Technology (TUHH) | Auto encoders, Anomaly detection |
Nagamoto Murai | c-drive agency LLC. | biomarker, early detection |
Nagarajan I | VIT | AD Detection |
Nagarathna r | Dsatm | ad,mci,nc |
NAGARJUNA REDDY G | NBKR INSTITUTE OF SCIENCE & TECHNOLOGY, VIDYANAGAR | Alzheimers |
Nagendra K | III-T Bangalore | Alzheimer |
Naghme Sholevar | Azad University | Eeg,alzheimer,rest,mri |
Naghmeh Firouzi | Shahid Sadoughi University of Medical Sciences and Health Services | pet imaging- radiomics |
Nagihan ÇEKİÇ | Düzce University | Machine learning, deep learning, academic study |
Nahed Jalloul | GSK | translational research, precision medicine, patient stratification |
Nahed Tawfik | Electronics Research Institute | multimodality medical image fusion |
Nahid Hajizadeh | Shiraz University of Technology | Alzheimer |
Nahid Islam | Arizona State University | Deep Learning |
Nahla Mohamed | Sudan university of science and technology | Alzheimer's images |
Nahyun Kim | KAIST | artifact, deep learning |
naijin chen | Anhui Polytechnic University | Medical image analysis |
naili wei | The First Affiliated Hospital of Shantou University | claustrum,hippocampal gray matter volume,structural and metabolic connections |
Naime Meric Konar | Kirsehir Ahi Evran University | Machine learning algorithms |
Naimul Hasan | University of Chittagong | Alzheimer's disease |
Naina Misra | Arizona State University | GAC, point cloud, Alzheimer's, geometric mapping |
Nainika Chinamsetty | Vellore Institute of Technology | Brain age, Brain age gap, MRI |
Nair Bini Balakrishnan | Hindustan Institute of Technology and Science | Alzheimer's, Reinforcement Learning, Deep Learning |
Nair Ul Islam | Sharda University | Classification, Deep Learning, Machine Learning |
Naisha Shah | J. Craig Venter Institute | multimodal analysis, dementia endotypes |
naji shajarisales | carnegie mellon university | machine learning, learning from positive and unlabeled data, deep learning |
Najibul Haque Sarker | Bangladesh University of Engineering and Technology | deep learning, machine learning, computer vision |
Najmeh Mashhadi | University of California, Santa Cruz | Alzheimer's diseases prediction |
Najmeh Saffar | University of Manitoba | dataset bias, biomedical imaging |
Nakul Pranao D | Kumaraguru College Of Technology | Alzheimer's Disease Prediction |
Nalini Hazra | USC | Alzheimer's |
NallappaBhavithran G | Vellore Institute of Technology | CNN, graph networks |
Naman Bakhru | IIT Kharagpur | Hidden Markov Model, Bayesian networks |
Naman Daga | Jadavpur University | Research Work, Alzheimer's disease, Multiclass Classification |
nami seo | gist | Artificial intelligence |
Namitha Thalekkara Haridas | University of Ulster | Alzheimers disease |
Namra Rehman | PUCIT | Medical Image Analysis |
Namrata Nair | Amrita Vishwa Vidyapeetham | AD prediction, Deep Learning |
Namrata Singh | BHU | SNP GENOTYPING,Alzehemier |
Nan Chen | microsoft | AD |
Nan Chu | National Central University/CWLab International | brain image data bank, AI analytics, neurotechnology |
Nan Hu | Genentech | biomarker; disease progression |
Nan Nan | University at Buffalo | statistical analysis, multiple phase biomarker evaluation |
Nan Pengzhi | Yantai University | biomarker |
nan wang | East China Normal University | ADNI, biomarkers |
Nan Wu | Ningbo University | Alzheimer's Disease, Neuroimaging, Machine Learning, Disease Progression |
Nan Yan | Shenzhen Institutes of Advanced Technology | Alzheimer's Disease; speech deficiency; neural mechanism; acoustic analysis; fea |
Nan Zhao | ShanghaiTech University | Brain AGE Estimation |
nana jia | Northeastern University | academic research |
Nanaka Takegami | University of Tokyo | prediction model, clustering |
Nanako Hawley | University of South Alabama | language |
Nancy Foldi | Queens College - City University of New York | MTL, HIppocampus, serial position effect |
Nancy Ip | The Hong Kong University of Science and Technology | synapse, cell surface receptors, kinase |
Nancy Jane | Anna University | Statistical and predictive analysis |
Nancy R S | VIT University, Chennai | Alzheimer’s disease (AD), Convolution Neural Network (CNN), Dementia, GAN, Other |
Nand kishore Kishore | Uiet pu | Alzheimer parkinsonism |
Nandan Grover | University of Aberdeen | CNN, GCN, Explainable AI |
Nandan Kulkarni | University of Massachusetts Lowell | Alzheimer’s disease, MRI, Deep Learning, CNN |
NANDANU DS | COLLEGE OF ENGINEERING TRIVANDRUM | EARLY DIAGNOSIS OF AD USING NEURO IMAGING DATA |
Nandhashree Karuppiah | Madras Institute of Technology | multimodal fusion machine learning |
Nandhini Ellappan | MGR University | Dashboard |
Nandhini Raj | Vellore Institure of Technology | MRI CT PET |
Nannan Gu | Shanghai Mental Health Center | cognitive impairment, Alzheimer’s disease, data-mining techniques |
Nannan Mao | Dalian Maritime University | MRI,PFT,MMSE score,CDR score |
Nannan Yang | the first affiliated hospital of zhengzhou university | early imaging , blood biomarker |
Nannan Yang | Zhengzhou University | machine learning,clustering,disease subtypes |
Nannan Zong | Xiamen University | Alzheimer's disease brain hemispheres |
Nansu Zong | Mayo Clinic | Predictive model; Alzheimer's disease |
Nansu Zong | Mayo Clnic | Genetic Reports;Electronic Health Records; Predicting Primary Cancers;FHIR; RDF |
Nanyang Liu | China Academy of Chinese Medical Sciences | mitochondrial |
Nao Iwamoto | GSK | metabolomics |
Naoki Tomita | Institute of Development, aging and cancer, Tohoku university | Geriatric assessments |
Naomi Kenyatta | Harvard | fmri |
Naomi Saito | UC Davis | statistician |
Naomi Vlegels | University Medical Center Utrecht | Alzheimer's disease; amyloid beta; PET; diffusion tensor imaging |
Naoya Oishi | Kyoto University Graduate School of Medicine | MRI, PET, Pattern Recognition, SVM |
narae kim | AUMC | dementia, alzheimer'd disease, neuroimage |
Narasimha lakamsani | ASU | find usecase |
Narayan Cheruvu | University of Illinois Urbana-Champaign | multimodal, deep learning, LSTM, CDR |
Narendra Ahuja | Univ of Illinois at Urbana-Champaign | Machine learning, Representation Learning, Computer Vision |
Naresh Nandakumar | Johns Hopkins University | fMRI analysis Localization Validation |
Narges Azari Jafari | kashan university of medical sciences | brain aging apolipoprotein E alzheimer's disease |
narges firouz | Guilan university | Alzheimer Biomarkers Diagnosis |
Narges Manouchehri | Concordia University | Image segmentation |
Narges Olia | Shahid Beheshti University | Deep Learning, FSL, Perfusion Imaging |
Narges Razavian | New York University Medical Center | Artificial Intelligence, Deep learning, Biomarker Discovery |
Nargess Heydari Beni | University of Waterloo | Brain, Imaging, MRI, CT, PET |
NaseerAhmed Khan | NUST | classification, functional connectivity |
Nashmia Khalid | UET | Alzehimer, Convulational Neural Network, UNet |
Nasibeh Farahani | Mayo Clinic | Heart, Alzheimer, tau pet |
Nasim Yari | Shari University of Technology | machine learning-data drive decision-course project |
Nasireh Dayarian | Faculty of Electrical Engineering, K. N. Toosi university | source localization, alzheimer |
Nasrin Akbari | University of Victoria | ADNI-GO |
Nasrin Amini | Shahid Beheshti University of Medical Sciences | Alzheimer , MRI, classification |
Nassima Benamar | USTHB | artificial intelligence, Classification of Alzheimer’s Disease |
Nastaran Amini | Cleveland Clinic Nevada | Classification Machine Learning algorithms |
Nastaran Mehrabi | Shahid Beheshti university | Alzheimer’s; Brain disorders; Gaussian Naive Bayes; Magnetic Resonance Imaging |
Nastaran Pardakhti | University of Tehran | brain age estimation |
nastaran shahparian | York university | Alzheimer, MCI, ADNI |
Nastaran Shakourifar | K. N. Toosi University of Technology | Alzheimer's Disease, Machine Learning, Deep Learning, Early Diagnosis, PET scans |
Nat Lee | National Taiwan University of Science and Technology | MR, detection, dementia, deep learning |
Natale Quartuccio | Ospedali Riuniti Villa Sofia-Cervello, Palermo, Italy | FDG PET; SPM |
Natalia Basimova | Moscow Institute of Physics and Technology | Convolutional Neural Nets, multiclass classification, regression models |
Natalia Grechukhin | University of Bordeaux | #alzheimer #AI #brain #MRI #neuroscience |
Natalia Pattarone | Pompeu Fabra University | Alzheimer, PHATE, Manifold embeddings, kernel-based methods |
Natalia Sacristan | Universidad Rey Juan Carlos | Cerebro, alzheimer |
Natalia Safonova | Bekhterev Psychoneurological Research Center/ Russia | normal aging |
Natalia Zaretskaya | University of Graz | macular degeneration, rs-fMRI, morphometry, diffusion |
Natalie Dunn | Prisma Health; SNIRP | Anxiety |
Natalie Edwards | Massachusetts General Hospital | sex, tau, flortaucipir, positron emission tomography, longitudinal |
Natalie Ellison | Pentara Corporation | Composites Genetics |
Nataliia Maryenko | Kharkiv National Medical University | fractal analysis, fractal dimension, cerebellum, brain |
Natan Derek | Southern Taiwan University of Science and Technology | FMRI, DEEP LEARNING |
natan derek | Norwegian University of Science and Technology | deep learning |
Natasha Clarke | CRIUGM | functional connectivity, MRI |
Natasha Stewart | University of Michigan | Multi-task regression, multi-task feature selection, post-selection inference |
Natasha Tan | The University of Hong Kong | Brain Imaging |
Natchanan Thongtem | Kasetsart University | Alzheimer's disease, classification, computer vision, machine learning |
Natchapon Petaitiemthong | Chiang Mai University | Image Segmentation |
Nate Mockler | Biogen | Biogen |
Nathalie Meyer | EPFL | single cae, memory, resting state fmri |
Nathan Kuo | University of California, Berkeley | fMRI, PET |
nathan metzger | IDMC | IBRO |
Nathan Morelli | High Point University | Cerebellar volume, implicit motor control, implicit cognitive control. |
Nathaniel Gunter | Mayo Clinic | polygenic risk, genetic, machine learning |
nathiya r | pantechsolution | adni |
natsuki ikemitsu | hospital | deep learning |
Nattapat Varongsinghara | King Mongkut's Institute of Technology Ladkrabang | DICOM, Alzheimer's Disease, Convolutional Neural Networks |
Nattavadee Prasertkamontap | Satriwitaya school | Research, Alzheimer, Medical Artificial Intelligence |
Nattaya Boonmee | Chulabhorn Royal Academy | DTI FA MRI Alzhaimer's disease |
Nauman Bashir | COMSATS UNiversity Islamabad | XAI; Deep learning; Automatic diagnostic; Concept |
Nauman Patel | University of Huddersfield | Alzheimer's disorder detected in early stage using AI technology |
Naveen Ippili | KL University | Classification, Alzheimer's, CNN |
Naveen N | Don Bosco Institute Of Technology, Bengaluru | AD, Alzheimer’s Disease, Classification, Computer-Aided Diagnosis, Dementia |
Naveen Rawat | SJSU | genome database |
Naveen S | IIT Madras | Alzheimer's disease |
Naveen Venu Bagadi | GVPCOE | AI, Deep learning |
Navid Ghassemi | Ferdowsi University of Mashhad | Fusion, Fewshot learning, multi-modality |
navid seraji-bozorgzad | University of Michigan | Fractional Anisotropy, normal aging |
Navjot Zubler | FHNW University of Applied Sciences and Arts Northwestern Switzerland | machine learning, classification, AI, Deep learning |
Navneet Hakhu | University of California, Irvine | enrichment, model misspecification, mean-variance, bias, clinical trials |
Navneet Rai | IIIT Tiruchirappalli | Alzheimer's Disease - Deep Learning - CNN |
NAVYA SRI KALLI | VVIT | Classification models, EDA, Optimization |
Nawazish Ali | Istanbul Medipol University | Early stage alzheimer prediction |
Nawin Karthikeyan | SASTRA deemed to be university | Deep learning,CNN |
Nay Chi Lynn | University of Information Technology, Yangon | Melanoma, Dermoscopy, Images |
Nayana Uday | Digital university of Kerala | MRI |
Nayara Silva | Unipac | final course work, alzheimer disease , compairson, artificial intelligence |
naz Khan | Nust uni | clinical data |
Naz Memon | Mehran University of Engineering and Technology | segmentation |
Nazahah Mustafa | Universiti Malaysia Perlis | Zaiton59 |
Nazanin Beheshti | University of Houston | CNN, Spatitemporal locality, Classification, |
Nazanin Makkinejad | Illinois Institute of Technology | Alzheimer's disease, TDP-43 |
Nazanin Saadat | University of Victoria | AD, MCI, VBM, cortical thickness |
Nazib M Seidu | Gothenburg University | Cerebrospinal fluid; Biomarkers; Neurogranin; Aβ42; Aβ42/40 ratio; T-tau; P-tau; |
Nazifa Adhora | Rajshahi University of Engineering & Technology | academic research, Alzheimer's disease |
Nazik Elsayed | University of Gezira | Domain adaptation ,alzheimer's disease |
Nazila Hashemi | Spiced academy | Salam |
Nazmul Nafim | RUET | Alzheimar detection |
Nderim Abdullahu | University of Lausanne | Master thesis |
ne ra | university | deep neural network, cognitive assessment |
ne ra | university | deep neural network, cognitive assessing |
Ne Yang | Tsinghua University | dementia progression, longitudinal data, multiple biomarker |
Neal Bennett | Gladstone Institutes | metabolism |
Neal Parikh | Weill Cornell Medicine | liver fibrosis, cognition, biomarkers |
Neal Patel | Purdue University | CFD, Ventricles, Imaging |
necati Sahin | karabuk university | vegf, brain, |
Neda Jahanshad | USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of t | longitudinal, brain imaging, connectomics, prediction, brain aging |
Neda Shafiee | Mcgill university | Alzheimer's disease, Mild cognitive impairment, Subjective cognitive decline |
neda songhori | Amirkabir university of technology | MRI AD image processing |
nedim muzoglu | istanbul | deeplearning |
Neel Kale | Manipal University Jaipur | GNN; brain disorder prediction; |
Neel Mehta | Cornell University | Neuroinflammation, Alzheimer's disease |
Neel Sangani | IUPUI | eQTL |
neela blore | Projects | Alzheimer Disease |
Neelaveni J | Sri Ramakrishna Engineering College | Access |
Neelesh Nadkarni | University of Pittsburgh | lipids, Alzheimer disease biomarkers |
Neelkanth Poosa | Student | DBMS, Data Science, Normalisation |
Neelroop Parikshak | Regeneron Pharmaceuticals Inc. | machine learning, disease prediction, genetics |
Neeraj Kumar | University of Jammu | MRI, Biomarkers, tau, beta-amyloid, Alzheimer's, PET, Deep Learning |
Neeraj Kumar | Indian Institute of Technology Hyderabad | Cognition, Memory, MRI |
Neerav C | MUJ | Machine Learning, Early Detection, Study |
Neesha Rathee | National College of Ireland | Deep learning, Alzheimer’s disease, classification |
Neeta Tanna | University of West London | dementia |
Neetha Jseph | Amrita School Of Engineering | Multi-view brain networks, brain hyperconnectome, geometric hyperconnectome auto |
Neetha P U | University Visvesvaraya College of Engineering, Bangalore University. | Research papers |
NEFELI TSIGKRI | NATIONAL CENTER FOR SCIENTIFIC RESEARCH DEMOKRITOS | MRI, statistical analysis |
Negar Etemadyrad | George mason university | GNN, Alzheimer’s disease, structural and functional connectivity |
negar khalaf | shiraz university | deep learning brain age estimation |
Negar Khalili | Alzahra University | str |
Negar Monfared | Semanan University | neurodegenerative disease |
Neha Ann Vinu | LICET | Deep learning |
NEHA GARG | akgec | ALZHEIMER |
Neha Gianchandani | Manipal University Jaipur | Deep Learning, Alzheimer |
NEHA KALEKAR | SYMBIOSIS INSTITUTE OF TECHNOLOGY | data set for final year project |
Neha Koonjoo | A.A Martinos Center for Biomedical Imaging | Structural MRI Machine Learning |
Neha Raghavan | Columbia University | PET, genetics, Alzheimer's, amyloid |
neha shah | Eduational | Alzheimer's Disease, CSF, Proteins, Biomarkers |
Neil Oxtoby | University College London | biomarker dynamics, disease progression, computational models |
Neil Vaughan | University of Exeter | machine learning, neurogenerative diseases. |
Nelly Allison Jazmin SALINAS CHACALTANA | San Marcos University | PET MRI Registration in alzheimer disease |
Nels Schimek | University of Washington | multimodal MRI, predictive modeling |
Nelson Velasco | Universidad Militar Nueva Granada | Alzheimer, MCI |
Nelson Yamada | Banner Alzheimer's Institute | DTI, Diffusion Tensor Imaging, Apoe2, Apoe4 |
nesa sharifi | Islamic azad university of khomeni shahr | Alzheimer-detection-classifire |
Neti Waramusik | Medicine, Chulalongkorn university | The problem is my institution has not enough subject to retrospective about FDG |
Neti Waramusik | Faculty Medicine Chulalongkorn University | Radiomics F18 FDG in alzeimers disease |
Neva Mathew | PCSS II | REM, RBD, AD, Rivastigmine, Galantamine, Aducanumab, Donepezil, Medication |
Nevin Crow | Belmont University | FTD, genetics, |
Newton mwai | Chalmers University of technology | treatment search, reinforcement learning, causality, synthetic data generation |
Ngoc Mac | Nowledgeable | LONI | AIBL | ADNI | ADNIDOD |
Ngoc Nguyen Thi | Yuan Ze University, College of Informatics | MRI, AD, Machine Learning, Deep Learning |
Ngoc Nha Uyen Le | University of Texas at Arlington | Common points, disease causes, propose medicine classes |
Ngoc-Huynh Ho | Chonnam National University | Deep learning, Bioinformatics, AD |
Ngoc-Huynh Ho | Chonnam National University | Deep learning, Bioinformatics, AD |
Ngoc-Huynh Ho | Chonnam National University | Alzheimer's disease progression, survival analysis |
Ngongang Loic | Esprit | Alzheimer, Machine Learning, Python |
Nguyen Huynh | Auburn University | Machine Learning, Diagnostic Classification, rs-fMRI |
Nguyen Nguyen | University of Missouri, Columbia | Deep learning |
Nguyen Tuan | VinUniversity | Federated Learning |
Nguyễn Tùng | USTH | Medical image fusion |
Nhat Phan | University of Connecticut | Machine Learning in Drug Discovery |
Nhat Phung Tran Huy | King's College London | UCL |
Nhung Pham | California State University, Chico | Alzheimer's disease, network analysis, white-matter connectivity |
Ni Bingjie | Huazhong University of Science and Technology | alzheimer's disease |
Ni Bingjie | Huazhong University of Science and Technology | Deep Learning、Neurofunctional assessment |
Ni Jiati | theinstitution of technology in Beijing | Alzheimer |
Ni Wang | Mayo Clinic Florida | Abca7, transcripts, MRI imaging, tau-PET |
NI YOU | Fudan university | neurology |
Niall Duncan | Taipei Medical University | Disorders of consciousness; brain lesions; machine learning |
Niall Mahony | Munster Technological University | Latent Space Cartography, Representation Learning, Metric Learning |
Niamh Belton | University College Dublin | Machine Learning, motion artefacts, brain mri |
Nian Gu | Shandong Normal University | hippocampus segmentation,MRI |
Nianjun Liu | Indiana University | genetic, association, image, proteomic, risk prediction |
Nibal Arzouni | USC | AD, Imaging genetics, |
Nibila Yespin | Vellore Institute of Technology, chennai | Neuroimage |
NIBIN BIN RIYAS AK | VIT | ADNI |
Nic Hainc | TWH | deep learning keras |
Niccolo Fuin | Ixico | structural MRI, dMRI, ASL, fMRI |
NICE REN | National Cerebral and Cardiovascular Center | stroke, alzheimer |
Nichanan Kaenprathoop | Chulabhorn royal academy | Alzhaimer's MRI DTI FA RA MD |
Nicholas Bartelo | Weill Cornell Medicine | Alzheimer's Disease, differential metabolites, correlation, metabolomics |
Nicholas Bott | University of California San Francisco | cognitive aging; structural imaging; inflammation |
Nicholas Bradfield | St Vincent's Hospital Melbourne | Mild cognitive impairment; neuropsychology; memory |
Nicholas Christopher-Hayes | UC-Davis | Neuroimaging, neuropsychololgy, hippocampus, memory |
Nicholas Constant | University of Rhode Island | digital cognitive biomarkers |
Nicholas Constant | EchoWear | mci |
Nicholas Cullen | Lund University | plasma |
Nicholas Cullen | Lund University | clinical trials, power analysis, screening, enrichment |
Nicholas Hale | University of Sheffield | Alzheimer's, disease, machine, learning, progression |
Nicholas Heng | Cambridge University Hospitals Trust | Dementia |
Nicholas Hou | Columbia University | Deep Learning, General Adversarial Network, Alzheimer |
Nicholas Karagas | University of Washington | Alzheimer's disease, resilence, Christchurch varient, RELN-COLBOS variant |
Nicholas McCrory | Duke University | MCI, AD, ADNI, NFQ, functional imaging biomarker |
Nicholas Pfahler | University of Illinois at Chicago | Alzheimer's, APOE, Progression |
Nicholas Schork | The Translational Genomics Research Institute | Genetic association analysis; heterogeneity; interactions; mixture models |
Nicholas Sgouros | Univerity of Athens | MRI, DTI imaging, Biomarkers |
Nicholas Shakarishvili | University of Cambridge | SNPxSNP Interaction |
Nicholas Simard | McMaster University | Healthy, Adult, Diffusion |
Nicholas Tustison | University of Virginia | cortical thickness, ANTs |
Nicholas Van Halm-Lutterodt | Capital Medical University | Risk Factors, AD, Cross Sectional Study, Medications, Patient Outcomes |
Nicholas Walsh | University of Tampere, Finland | tDCS, Simulations |
Nícia Ferreira | University of Coimbra | Alzheimers, Glioblastoma, Aging, Drug Discovery |
Nick Ank | scetech | image to image translation, GANs |
Nick Cooper | Technology company | EEG |
Nick Henscheid | Critical Path Institute | imaging, image analysis |
Nick Izzo | Cognition Therapeutics | proteomics, metabolomics, genomics |
Nick Schmansky | CorticoMetrics LLC | FDA 510K FreeSurfer morphometric analysis |
Nick Xu | Chongqing University of Posts and Telecommunications | cross-modal retrieval |
Nico Disch | DKFZ | Time Series Analysis |
Nico Scherf | Max Planck Institute for Human Cognitive and Brain Sciences | Convolutional Neural Networks |
Nicodemus Awarayi | University of Energy and Natural Resources | Deep learning, Capsule network, CNN, Data fusion |
Nicola Amoroso | Università degli studi di Bari | Complex networks, deep learning, Alzheimer, brain connectivity, brain aging |
Nicola Dinsdale | University of Oxford | hippocampus machine learning |
Nicola Ray | Manchester Metropolitan University | MRI, DRI, iNPH |
Nicola Spotorno | University of Pennsylvania | Alzheimer's, aging, epigenetic |
Nicola Toschi | University of Rome "Tor Vergata" | Brain Complexity and Fractality |
Nicola Trotta | Hôpital Erasme | SPM, Alzheimer, DMN, PET-FDG |
Nicolai Hans | Humboldt University | copula regression, boosting, feature selection in medicine |
Nicolas Araya | Universidad Diego Portales | eml |
Nicolás Fuentes | Universidad Nacional de Córdoba | atlas, radiotracer, Alzheimer |
Nicolas Gensollen | INRIA | ARAMIS,INRIA,Clinica,Leaspy |
Nicolás Méndez | Universidad Distrital Francisco Jose se Cladas | Procesamiento de imagenes |
Nicolas Moreno Ramirez | Universidad Militar Nueva Granada | Alzheimer |
Nicolas Ndour | UGB | Alzheimer’s disease ,Convolutional neural network (CNN), Genome-wide association |
Nicolás Nieto | Forschungszentrum Jülich | Machine Learning, Prediction, Harmonization |
Nicolas Pannetier | Flywheel Exchange, LLC | QC |
Nicolas Perez de la Blanca | University of Granada | non supervised feature extraction, image classification |
Nicole Berbery | Lebanese International University | MRI images/ Brain Age Prediction/ artificial intelligence |
Nicole Chwee Har Keong | National Neuroscience Institute | Normal Pressure Hydrocephalus, MRI, DTI, biomarkers |
Nicole Corso | Stanford University | default mode networks, networks, imaging |
Nicole Evangelista | University of Florida | working memory, magnetic resonance imaging |
Nicole Isabella Tan | National Neuroscience Institute | p-Tau, amyloid-beta, neuroimaging, MRI, PET |
Nicole Neufeld | University of Victoria | Gray matter, atrophy, voxel-based morphometry, healthy aging |
Nicole Phillips | UNTHSC | inverse comorbidity, Bayesian multinomial regression, GWAS, case-case study |
Nicole Pihlstrom | Massachusetts General Hospital | Aging, Alzheimer’s, Brain Atlas, FreeSurfer, Medial temporal lobe, Imaging |
Nicole Saltiel | The Ohio State University | Bayesian, cognition, aging |
Nicole Walheim | Belmont University | dementia, cognition, sex differences |
Nicole Walker | VA Palto Alto | Alzheimer's |
Nicole White | Belmont University | Cognition, Dementia, Sex Differences |
Nicolò Oreste Pinciroli Vago | Politecnico di Milano | machine learning, deep learning, data analysis, multimodal, neural networks |
NICY F | THANGAL KUNJU COLLEGE OF ENGINEERING | Alzheimer’s disease (AD) · Mild cognitive impairment (MCI) · Feature selection · |
Nida Alyas | Newcastle University | Neural diseases, gyrification |
Nidhi Mundada | University of California San Francisco | PET |
Nidhi Mundada | UCSF | pet |
Nidhi Pandey | SRMIST | Alzheimer's, ADNI, Classify, Segment, Research |
Nidiyare Hevia-Montiel | IIMAS-UNAM | segmentation, morphometric descriptors |
Nie Jingli | zhengzhou University | thesis |
Nie Yuanbi | Nanjing Normal University | 20000521Nyuanbi |
Niels Bergsland | University at Buffalo | DTI, cognition, free water |
Niels Focke | University of Göttingen | FDG-PET, Epilepsy |
Niels Janssen | Universidad de La Laguna | myelin; fmri; pet; memory |
Nien-Chu Shih | USC Stevens Neuroimaging and Informatics Institute | vascular risk factors, perivascular spaces |
NIGMENDRA YADAV | INDIAN INSTITUTE TECHNOLOGY (BHU) | segment brain. |
Nihal Remzan | FST SETTAT | Alzeihmer, CNN |
Niharika Gajawelli | USC | fMRI, MRI, AD, MCI, |
Nijun Wei | The Seventh Affiliated Hospital, Sun Yat-sen University | Recognition algorithms; progonosis |
Nikan Amirkhani | Tehran University of Medical Sciences | TabPFN, Alzheimer's, Dementia screening |
Nikan Mousavi | k. n. toosi university of technology | deep laerning , classification |
Nikhil Bhagwat | McGill University | Alzheimer's, MRI, machine-learning |
Nikhil Gupta | in-med prognostics | Neuroimaging, Early diagnosis, Alzheimer's |
Nikhil Mundey | MITWPU | Dementia, Alzheimer |
NIKHIL PATERIA | NIT JAMSHEDPUR | AD, FTD,PD |
Nikhil Soni | Manipal University Jaipur | Research and Prediction |
Nikhil Upadhyay | University of Plymouth | ADNI, biomarker |
Nikhilanand Arya | Indian Institute of Technology Patna | Deep learning, Multimodal |
Niki Mourtzi | Eginition Hospital | alzheimer, amyloid |
Nikila Babu | PSG College of Technology | image classification, brain images, Alzheimer's |
Nikita Mokrov | Skoltech | Machine Learning, Neural Networks, 3D Convolutions |
Nikitha Nambiar | Amrita University | Alzheimer's, detection, image fusion, MRI, PET, research |
Nikki Stricker | Mayo Clinic | neuropsychological tests, normative data, mild cognitive impairment |
Niklas Bühler | Technical University of Munich | Deep Learning, Connectome, Diagnosis |
Niklas Eisl | Technical University of Munich | Multimodal Deep Learning, State Classification |
Niklas Mattsson | Lund University | biomarker, csf, pet, cognition |
Nikol Orlando Castellanos Diaz | Universidad Autónoma Metropolitana | Biomarkers, alzheimer's disease |
Nikolaos Adaloglou | INSA | segmentation, medical imaging |
Nikolaos Bliziotis | Berlin Institute of Health at Charité | Machine Learning, Metabolomics, Survival Analysis |
Nikolaos Daskalakis | McLean Hospital/ Harvard Medical School | SNPs, biomarkers, machine learning |
Nikolaos Petsas | Sapienza University of Rome, Italy | Fronto-temporal Dementia, atrophy, 3dT1 |
Nikolay Manyakov | Janssen R&D | biomarkers |
Nikša Jakovljević | University of Novi Sad, Faculty of Technical Sciences | assistant professor, signal processing, pattern recognition, programming |
Nikunj Chhabra | Indian Institute of Technology Indore | small group learning, differentiable architecture search |
NILAM DEKA | ASSAM ENGINEERING COLLEGE | ALZHEIMERS DATASET |
Nilanjana Pradhan | Pune Institute Of Business Management | deep learning |
Nilesh Barla | PerceptronAI | AI, ML |
Nilesh Kumar | Rochester Institute of Technology | SemanticSegmentation, DeepLearning |
Nilomi Shah | LEXEO | genotype, csf biomarker, p-tau, t-tau, AB-42 |
Niloofar Mokhtari | University of Cologne | imaging |
Niloy Dey | Brac University | AD, Alzeihmer's Disease |
Nils Heinzinger | German Center of Neurodegenerative Diseases (DZNE) | MRI, Alzheimer’s disease, memory, Voxel-based Morphometry, VBM, ATN, biomarker |
Nils Ole Breuer | Vrije Universiteit Amsterdam | XAI, Causality |
Nils Richter | University Hospital of Cologne | amyloid status, cognitively normal, MCI, disease progression |
Nils Winter | University of Muenster | CNN, classification, machine learning |
Nilufa Yeasmin | Islamic University, Kushtia | Alzheimer’s disease, fMRI, Machine learning, Biomedical, Healthcare. |
nima aalizade | rs | cnn |
Nima Masoumi | Concordia University | Image registration |
Nima Schei | BEL RESEARCH | Machine learning, deep learning, LSTM, DBM, CNN, classification, regression |
Nima Talaei | Shahid Bahonar University of Kerman (SBUK) | cognitive map, hippocampus, fMRI, MCI, Alzheimer's disease |
Nima Talaei | Shahid Bahonar University of Kerman (SBUK) | Alzheimer's disease, social cognition, general cognition |
Nimay Kumar | University of Pennsylvania | alzheimer's disease, AD, |
Nimesh Tripathi | Northwestern University | segmentation |
Nimisha Jain | netaji subhas institute of technology | machine learning,deep learning,MRI scan dataset, Analysis,Alzheimer's disease |
NIMITHA U | NATIONAL INSTITUTE OF TECHNOLOGY CALICUT | Alzheimers disease, Machine learning |
Nimra Tahir | University of Lahore | research purpose |
Nimue Shive | University of South Carolina | statistics |
Nina Miolane | Stanford University | variational autoencoders, connectomes, clustering, dimensionality reduction |
Ninaad Kundu | University of Virginia | Gender, race, ethnicity, age, disease, slicer |
Ning Caichen | IT | 01234567890 |
Ning Dong | TEXAS tech university | Alzheimer's Disease, Mild Cognitive Impairment, Machine Learning |
NING FAN | Guangdong Medical University | 681015 |
Ning Li | Beijing Tiantan hospital | AD imaging |
Ning Qiang | Shaanxi Normal University | fmri, brain network analysis |
Ning Rong | First Affiliated Hospital of Anhui Medical University | rongningln123 |
Ning Wang | Stevens Institute of Technology | Alzheimer's Disease Detection, interpretable AI, causality |
Ning Wang | Florida State University | Tensor data analysis, high-dimenisonal statistics |
Ning Wang | University of Dundee | machine learning; deep learning; Alzheimer |
Ning Wang | Florida State University | Tensor data analysis, high-dimenisonal statistics |
Ning Xiao | Shanxi University of Finance and Economics | transformer, CNN |
Ningkai Wang | south china normal university | PET, MRI, Connectome |
ningning she | xian jiaotong universty | OSA |
Ninh Tran | Phenikaa University | hihi |
Ninon Burgos | University College London | PET synthesis |
Nir Shachaf | Weizmann Institute of Science | Mass spectrometry analysis results |
Niraj Gupta | IISER bpr | Alzheimer's disease |
Niranjan Avadhanam | self | Alzheimer |
Niranjan M | VIT Chennai | Medical Image Fusion |
NIRMAL SAIT | VIT | alzheimers,smri |
Nirmal Thomas | AAFT | CNN , SVM , Alzheimers , VGGNet |
Nirmala priya | Rajalakshmi Institute of Technology | Alzheimer |
Nirmala V | SASTRA Deemed to be University | detection |
Nirmit Gupta | International Institute of Information Technology Bhubaneswar | Alzeihmer, Artificial Intelligence, Machine Learning, Deep Learning |
Nirosha Fad | Kannur University | Preclinical AD |
Nirupama Patodkar | MGM, Dr. G. Y. Pathrikar College of CS & IT | dementia, Alzheimer |
Nisan Raja | Government College of engineering,tirunelveli | Alzheimer's disease |
Nisarg Patel | Symbiosis Institute of Technology | Clustering algorithm, Unsupervised learning |
Nisarg Upadhyay | Manipal University | Twin Neural Networks inspired 3D Siamese network for Alzheimer Detection using l |
Nisha AV | Kalasalingam university | ALZHEIMERS,fMRI,enhancement,segmentation,classification |
Nisha Kumari | Rutgers | Query Parser |
NISHANA YASMIN | COLLEGE OF ENGINEERING TRIVANDRUM | CNN |
Nishant Chauhan | Daegu University | Functional connectivity, deep learning, classification, Alzheimer's, MCI |
Nishant Gautam | JIIT | CN LMCI AD |
Nishant Kumar | Technische Universität Dresden | dMRI, DTI, Tractography, Alzheimer's disease |
Nishant Satapathy | Emory University | Alzheimer's Disease, Mild Cognitive Impairment, Entropy, Autism, DTI |
Nishanth c | Ondezx | carpus collosum |
Nishanth Sivarudrappa | Novotech Healthcare Holdings | Data analysis using SAS, and R |
Nishanth Thumbavanam Arun | Carnegie Mellon University | machine learning, explainability, |
Nishta Amin | Johns Hopkins Medicine, Kennedy Krieger Institute | morphometry, Alzheimer's |
Nisreen Amer | HBKU | Feature extraction, classification, preprocessing techniques |
Nithesh Merugu | St. Francis Xavier University | ADNI, T1 |
Nithesh Merugu | St. Francis Xavier University | Alzheimer's, deep learning, ADNI |
Nithin kumar reddy Vangala | CVR COLLEGE OF ENGINEERING | CNN model,detect early onset of alzheimer |
Nithin Narayanan S | Amrita School of Engineering | Preclinical Diagnosis of AD |
Nithya Bhasker | TU Dresden | graph convolutional networks, disease prediction |
Nithya Bhasker | National Center for Tumor Diseases Dresden (NCT/UCC) | Artificial Intelligence, disease classification |
NITHYA V P | KARPAGAM ACADEMY OF HIGHER EDUCATION | ALZHEIMER'S DISEASE |
Nitika Goenka | UPES | Health Data Analytics, ML |
NITIN KUMAR | LNMIIT | Segmentation, Registration |
Nitin Seshadri | Somers High School | Alzheimer, Multi Modal, ADNI, iResearch Institute, Dr. McCalla |
Nitish Sudhakar | McIntosh High School | Machine learning, alzheimer's disease, research |
Nitisha Aggarwal | University of Delhi | biomedical image analysis |
Nitzan Shitrit | Technion - Israel Institute of Technology | Sparse representation, neural networks, computer vision |
Niu Haoqing | Zhejiang University | none |
Nixa Rox | Nixon Research | Gene Expression , Alzheimer's disease , Bioinformatics |
Niyazi Şentürk | Near East University | - |
Nkiru Nwankpa | University of Suffolk | deep learning, Alzheimers, MRI |
NM Zayed | Electronics Research Institute | Diffusion Tensor imaging, new biomarkers alzhiemer disease |
Nmachi Anumba | Georgia Institute of Technology | Alzheimer's disease, MR imaging, classifier |
Noa Bregman | Tel Aviv Medical Center | verbal fluency |
Noa Zifman | QuantalX Neuroscience Ltd. | FA MD DTI |
Noah Fuerth | University of Windsor | Research, Statistics, On-Scalar-Regression |
Noah Muluberhan-Berhe | General Assembly | data science, convolutional neural network |
Noah Schweitzer | University of Pittsburgh | WMH, sex, diabetes, risk factors |
Noah Sheldon | University of Bristol | Data science |
Noam Korngut | Technion | Data Scientist Student for Advanced Analytics-Design |
Noel Pereira | Manipal Institute of Technology | dementia, detection, AI, deep learning, transformers |
Noel Steephan | Karunya Institute Of technology and Sciences | Alzheimer's Disease. Deep learning |
Noelia Martinez Molina | Pompeu Fabra University | biomarkers, stratification, deep learning, whole-brain computational model |
Noelle Davis | UC Berkeley | PET blood plasma alzheimer's |
Noelle Lee | USC | Alzheimer's Disease |
Noemi Hummel | Analytica Laser | disease modelling |
Nofar Mishraki | The Open University | Deep Learning |
Noha EL-Boghdady | Cairo University | Graduation Project Use |
Noman Raza | National University of Computer and Emerging Sciences | Alzheimer's, MRI |
Noor Nakhaei | UCLA | DTI Segmentation |
Noora Mohd | University of Sharjah | Alzheimer |
Noorul Julaiha AG | Rsjalakshmi Institute of Technology | APOE4 |
nooshin bazzazan | shahroud university of medical school | nooshinbazzazan |
Nora Ali | Benha University | alzahimer |
Nora Alkhaldi | King Faisal University | TADPOLE |
Nora Hoen | University hospital Cologne | Alzheimer's, FTD, motor learning |
Nora Mahmoud El-Rashidy | kaferelshikh uinversity | alzahimer , deep learning |
nora shoaip | faculty of computer and information | clinical decision support system, fuzzy rule-based systems, Ontology |
Norah Alroomi | IAU | Alzheimer Disease, Deep Learning, MRI, CT |
Norashikin Yahya | Universiti Teknologi Petronas | brain connectivity, resting state fMRI, classification, regression, early onset |
Noriaki Adachi | MSD. K.K. (Japan Branch of Merck) | threshold |
Norikazu Hara | Niigata university | Rare variant |
Noritaka Wakasugi | National Center of Neurology and Psychiatry | Aging, resting state fMRI, longitudinal study, healthy subjects |
Norm Mazer | F. Hoffmann-LaRoche | Centiloid SUVR |
Norvind Gamboa | Instituto Nacional de Ciencias Neurológicas | mri |
Nosin Ibna Mahbub | Islamic University | Deep Learning, Machine Learning, Prediction |
nouha arfaoui | University | MCI |
Nouha Chikhaoui | ESPRIT | Alzheimer |
nouha chikhaoui | ESPRIT university | Alzheimer |
NOUHAILA Bouanane | The university of jordan | Alzheimer |
Nouna Khandan | EMVision Medical Devices Ltd | Brain Imaging. Stroke Segmentation. |
nour brh | ensam rabat | AD |
nour chami | polytechnical school maurice audin | alzheimer mri |
Nour Elhuda Haidar | KIIT | Alzhimer's disease, CNN, image classification, deep learning |
noura selem | university | AI NLP |
Noureddine Debiane | university of tlemcen | deep learning, EEG, Alzheimer's |
Noureen Hameed | Virtual university of Pakistan | Aging, AD , |
Nourhan Ibrahim | Shoubra faculty of engineering | Alzheimer’s disease |
Nourhan Tamer | Modern university for technology and information | Detect Alzheimer |
Noushath Shaffi | University of Technology and Applied Sciences | Classification, Deep Learning, CNN |
Noushin Ejtehadi | Iran University of Science and Technology | DTI |
Noyella George | Pharm-Olam | MMRM |
Nsisong Ekong | RITMAN UNIVERSITY, IKOT EKPENE, AKWA IBOM STATE | ALZHEIMER'S DISEASE, CLINICAL TRIALS, STOCHASTIC ANALYSIS |
Nuanyi Liang | University Of California, Davis | Alzheimer’s disease, aging, systems biology |
Nubia Freitas | Universidade Federal do Rio Grande do Sul | social determinants, dementia, modifiable risk factors |
Nuibb Hasan | Relisource Technologies Limited | alzheimer, MRI, ML |
Numan Yaqoob | Comsats, Islamabad, | Machine Learning |
Nuno Neves | University of Porto | Augmented Reality, Alzheimer |
Nuoqing Zhang | Qingdao University of Science and Technology | electronic healthcare records,deep learning,early diagnosis |
Nur Ezlin Zamri | Universiti Sains Malaysia (USM) | AI based Classifier, Artificial Neural Network, Classification |
NUR HAFIEZA ISMAIL | Texas A&M University | Alzheimer's disease |
Nur Hafieza Ismail | University Malaysia Pahang | deep learning, dementia, Alzheimer disease |
Nur Talukdar | NEHU | Alzheimer |
Nur Zakiroğlu | Turkey | Alzahimer |
Nurefşan AK | Konya Technical University | Teknofest, Graduation project |
Nurhuda Hendra Setyawan | Universitas Gadjah Mada | MRI, structural, segmentation, neuropsychometric |
Nurul Annisa | University of Indonesia | Alzheimer's, Statistical Model |
Nurulhuda Ghazali | UiTM | Machine learning |
Nusrat Rabbee | Eisai | disease progression |
Nutan Singh | National Institute of Technology Raipur | Deep learning, computer vision, classification |
Nuwan Maduusanka | Inje University | Alzheimer's, Classification, SVM, Convolution Neural Network |
Nyurbek Aliev | None | Normal-pressure hydrocephalus, brain atlas, segmentation |
Oanh Meyer | UC Davis | cognitive reserve, Psychometrics workshop |
Obada Al Zoubi | Laureate Institute for Brain Research | Machine Learning, resting-state fMRI, reproducibility |
Obaï Bin Ka'b Ali | Concordia University | functional integration, multiscale dialogue, intrinsic networks |
Ognjen Rudovic | MIT | machine analysis, health technology |
Oguzhan Topsakal | Florida Polytechnic University | Alzheimer's, Deep Learning |
Oh JangHun | Kyungpook National University | STRUCT MRI |
OH JINTAEK | The Hong Kong University of Science and Technology | Alzheimer |
Oh JungHyun | Jeonbuk National university | Studying deep learning |
Oh seunghwan | koreauniv | Diagnosis |
Ohhyeon Choung | EPFL | Graph neural network; fMRI; demographic |
oj K | 大学 | 论文 研究 |
Ojas Ramwala | New York University | Conditional Generative Adversarial Network, Depth-Wise Separable Convolutions |
Ojas Upalekar | Archbishop Mitty High School | Markov Model, Alzheimer’s |
Okey Menakaya | University Hospital Southampton NHS. | PET, MRI, Machine learning, Deep learning, Artificial intelligence. |
Oktay Ozturk | Nisantasi University | medical imaging, medical super-resolution, gan, ann |
Oktay Vosoughi | medipol university | alzheimer |
Okyaz Eminaga | Stanford University | DL, Classifcaiton |
Ola Assim | Mosul university | Alzheimer’s disease (AD); mild cognitive impairment (MCI); AD continuum |
Olayide Ashiru | JHU Applied Physics Laboratory | precision medicine, Alzheimer's |
Oleg Kachan | Skolkovo Institute of Science and Technology | persistent homology |
Oleg Popov | Saint Petersburg State University | Alzheimer's Disease, Mild Cognitive Impairments |
Oleg Stroganov | Rancho BioSciences | Alzheimer’s disease, biomarkers, clinical features, molecular targets |
Oleksandr Striuk | Petro Mohyla Black Sea National University | deep learning, GAN, aging, senescence, dementia, Alzheimer |
Olfa Besbes | ISITCOM http://www.infcom.rnu.tn/content/ | Machine and deep learning, early detection |
Olfa Bouzidi | fsm | Deep learning |
olfa koubaa | national institute of applied sciences and technology | medical ai research |
Olga Ivanova | InSysBio | Alzheimer's disease, sTREM2, Tau |
Olga Kichangina | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institu | lzhemer's disease,MRI, neural networks |
Olga Kichangina | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institu | Alzhemer's disease,MRI, neural networks |
Olga Reyes | Universitat Oberta de Catalunya | Alzheimer |
Olga Uvarova | Higher School of Economics | equi-percentile equating |
Olga Valenzuela | University of Granada | MRI, AD, Wavelet, Deep Learning |
Oli Gra | The University of Auckland | Machine Learning |
Olin Janssen | Maastricht University | amyloid, alzheimer, lifestyle, comorbidities, demographics |
Oliver Bruton | Carl von Ossietzky Universität Oldenburg | Alzheimer's disease (AD), dementia, CDSS, disease progression |
Oliver Cho | The Nueva School | Neuroimaging |
Oliver Cousins | King's College London | TREM2 CD33 genetic Alzheimer's risk factors. |
Oliver Faust | Sheffield Hallam University | cerebral microbleeds, artificial intelligence, heatmaps |
Oliver Langford | ATRI USC | Prediction, Machine Learning |
Oliver Luo | Virginia Tech | Deep Learning, Machine Learning, Research |
Oliver M Sherwood | Kings College London | Machine Learning, Dementia, Neuroimaging |
Oliver Martinez | UC Davis | Volumetric and stroke rating analysis |
oliver nickalls | Sengkang General Hospital | mri brain deface |
Oliver Tomic | Norwegian University of Life Sciences | data fusion, multivariate analysis, machine learning, feature selection |
Oliver Y. Chén | CHUV and University of Lausanne | Machine learning, statistics, biomarker, AD prediction |
Olivia Hampton | Massachusetts General Hospital | PACC, harmonization, amyloid, cognitive decline |
Olivia Hampton | Invicro | Data provenance, Data curation |
Olivia Jayeola | Goldsmiths University | Artificial Intelligence |
Olivia Kudszus | Max Planck Institute for Human Development | morphometry, tutorial |
Olivia Kudszus | Freie Universität Berlin | morphometry |
Olivier Barret | CEA | Normalization, ATLAS |
Olivier Coubard | CNS-Fed | Neuropsychology, Aging, Eye movements, Vision |
Olivier Delrieu | SAS FifteenKay | Consulting, C4X Discovery Ltd |
Olivier Gevaert | Stanford University | deep learning multi-scale modeling |
Olivier Joly | University of Aberdeen | MCI, hippocampus, volume |
Olivier Lichtarge | Baylor College of Medicine | genotype-phenotype |
Olivier Miguel | The Ottawa Hospital | Deep LEarning, Super resolution, medical imaging |
Olivier Morin | UCSF | brain mets, segmentation, model |
Olivier QUERBES | Université Paul Sabatier | Cortical thickness early diagnosis using MRI and FDG PET. |
Olof Mogren | RISE Research Institutes of Sweden | Machine learning, generative adversarial privacy |
Oluwaponmile Afuwape | Iowa State University | TMS |
Oluwaseun Adebayo Bamodu | Taipei Medical University - Shuang Ho Hospital | Proteome, Genome, Parkinson's Disease, Motor disorder, Cerebrum |
oluwatimilehin odumosu | robert gordon university | Dementia, Alzheimer, Alzheimer's, predictive modelling |
Oluwayomi Modamori | Thompson Rivers University | swarm optimization, Algorithm |
Om Prakash | Hemvati Nandan Bahuguna Garhwal University | Alzheimer disease, MRI, dataset |
Omar Abdulaziz Hassan | Dayananda Sagar University | deep learning,convolutional neural network,flask framework |
Omar Alsaif | Northern Technical University | hicampus, MRI, Alzheimer classification |
Omar Butt | Washington Univeristy in Saint Louis | Resting State |
Omar Butt | Washington Univeristy in Saint Louis | Resting State |
Omar El Rifai | - | CLINICA |
Omar Elshami Ahmed | UPM | Alzheimer |
Omar Faruk | North South University | CNN, Transfer learning |
Omar Ghabayen | Jubilee Institute | Alzheimer’s Machine Learning Principal Component Analysis Dimension Reduction |
Omar Halawa | Harvard Medical School | IADL, neuropsychiatric symptoms, tau PET |
Omar Hasan | McGovern Medical School | DTI, sMRI, AD |
Omar Kassem | Alexandria University | Alzheimer's disease |
Omar Mufti | Esprit | AD machine learning prediction alzheimer |
omar rai | kasdi merbah ouargla | deep learning |
Ömer Faruk Alçin | Malatya Turgut Özal University | Long-Short Time Memory, Recurrent neural networks, Alzheimer's disease |
Omer Noy | Tel Aviv University | Treatment effects, causal inference, machine learning |
OMID TAGHIPOUR | Eastern Mediterranean University | machin_learning prediction alzheimer weighted_majority majority |
Omkar Bhatavdekar | Johns Hopkins University | Deep learning, AI, Machine learning |
OMONIGHO BUBU | UNIVERSITY OF SOUTH FLORIDA | sleep deprivation, Alzheimer's Disease, beta-amyloid |
Omurhan Soysal | Ankara University | deep learning |
Ona Wu | Massachusetts General Hospital | MRI, White matter hyperintensity, FLAIR, traumatic brain injury |
Ondrej Lerch | 2nd Faculty of Medicine, Charles University in Prague | DTI, basal forebrain, tractography, hippocampus |
Ondrej Libiger | Janssen, Inc. | longitudinal analysis, biomarkers, AD progression |
Ondrej Slama | Roche | modeling, progression |
Onerva Korhonen | University of Lille | functional brain networks, dynamic connectivity, multilayer brain networks |
onkar Joshi | College of engineering pune | MRI ,Deep Learning ,GAN |
Onur Tanglay | Omniscient Neurotechnology | Dementia, Machine Learning |
Onuralp Soylemez | Global Blood Therapeutics | kaggle, imputation, factorization, missing data |
Onurhan Karatay | Istanbul University | ASL, BOLD, aging, fmri |
Onurhan Karatay | İstanbul Üniversitesi | Perfusion, BOLD, Time-lag |
Opio Lopai | Georgia State University | White Matter, Gray matter |
or symonitz | Ben Gurion | Power atlas, Stroke |
oriol caravaca | Universitat Oberta de Catalunya | CNN dementia |
Oriol Dols-Icardo | Sant Pau biomedical research institute | Genomics, MRI |
Oriol Grau | BarcelonaBeta Brain Research Center | Alzheimer's disease, amyloid, tau, sleep disturbances |
Orit Lesman-Segev | Sheba Medical Center Tel Hashomer | blood biomarkers, cerebral small vessel disease, amyloid PET, tau PET, MRI, AD |
Osahon Aluyi | Leeds Beckett University | 2VF46 |
Osama Abdullah | NYU Abu Dhabi | Freesurfer, DTI |
Osama Amjad | Bahria University | AD |
Osama Awwad | Opentica | Alzheimer data |
Osama Hassan Hamadelseed Abdualrahman | Institute of Anatomy & Cell Biology / Heidelberg University | Down Syndrome, Alzheimer disease. Neuroanatomy, Neuroimaging |
Osamu Ichikawa | SUMITOMO DAINIPPON PHARMA CO., LTD. | DSS NIAGADS, therapeutic targets, WGS/WES |
Oscar Alarcon Palomar | UNED | U-Net |
Oscar Bedoya | Universidad del Valle | Alzheimer's diagnosis, AI, machine learning, neural networks, web application |
Oscar Choy | Kaiser Permanente | AI/ML, MRI, segmentation |
Oscar Darias Plasencia | Universidad Internacional de La Rioja | Alzheimer, machine learning, artificial intelligence |
Òscar de Jesús Ruiz | La Salle, Ramon Llull University | MRI, brain, Reinforcement Learning, degree thesis |
Oscar Durón | UNAM | school, project |
Oscar Harari | Washington University in St Louis | Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau |
Oscar Lally | Imperial Trust (National Health Service) | Machine Learning, PET, MRI |
Oscar Mier | Neuroimaging and Informatics Masters Program / University of Southern California | NIIN, USC Masters Student |
Oscar Murphy | The Bionics Institute of Australia | MRI, brain, MRI-guided neuronavigation |
Óscar Peña Nogales | University of Valladolid | Synthetic MRI, Parametric Maps |
Oscar Sotolongo-Grau | Fundació ACE | pipeline testing,neuroimaging |
Osiris Rojas | Universidad Nacional de Colombia | Bioinformatics, deep learning, alzheimer disease |
Oskar Hansson | Lund University | Alzheimer imaging and biomarkers |
Osman Akcatepe | University of Hildesheim | Alzheimer's Disease, Spiking Neural Networks, fMRI, Artificial Intelligence |
Osnat Schefenbauer | Ben Gurion University | cnn, MCI, atrophy of brain parts |
Osonde Osoba | RAND Corporation | screening, biomarkers, image analysis |
Oswaldo Artiles | Florida International University | human brain networks, dynamics, Alzheimer, network analysis |
Otieno Rowland | University of Nairobi | alzeihmers, deeplearning |
Ottavia Dipasquale | King's College London | rs-fMRI, molecular-enriched fMRI analysis, REACT |
Oumayma Lamjar | Université Sorbonne Paris Nord | machine learning, MultiModal data, data science |
Ousmane Coulibaly | Final International University | MRI dataset |
oussama mleiki | esprit | machine learning |
oussema makni | ESPRIT | machine learning dataset internship |
owaki Mana | Juntendo university/Japan | DWI |
Owen Carmichael | UC Davis | cortical thickness |
Owen Phillips | Brain Key Inc. | T1, MRI, superficial white matter, DTI, BrainAge |
Owen Ross | Mayo Clinic Jacksonville | genetics, Parkinsonism, sequencing |
Owen Slade | University of Southampton | Blood_mRNA Alzheimer's _Disease machine_learning |
Owen Woodward | Cardiff University | CBF, PET, ASL, cerebral metabolism, hypertension, Cushing's hypothesis |
Oyekanmi Olatunde | Binghamton University , State University of New York | Machine Learning , Classification |
Oyindamola Olatunji | Obafemi Awolowo University | Deep Learning classification |
Oyinlola Popoola | National College of Ireland | Denoising, Deep Learning, Mild Cognitive Impairment, Computer Aided Diagnosis |
Oyku Kose | University of California Irvine | machine learning, fairness, disease prediction, demographics prediction |
Oytun Demirbilek | Technical University of Munich | geometric deep learning, neuroscience, graph-to-graph prediction |
Oyun Kwon | Yonsei University | Classification, Alzheimer's disease, MRI |
Özge Can Kaplan | Boğaziçi University | Alzheimer's Disease, Parkinson's Disease, Mild Cognitive Impairment, TBSS |
Ozlem Melda Gunes | Bogazici University | neurodegenerative diseases, neural networks, deep learning |
Özlem Simsek | Bogazici University | genetic roots of diseases, machine learning |
Öznur Özaltın | Ataturk University | CNN,image processing |
P Huet | Qynapse | PET; SPECT |
P Kurian | Howard University | tau, neurofibrillary tangle |
P-Z ZENG | ZHEJIANG UNIVERSITY | fiber dti |
Pablo Damasceno | UCSF | neurodegeneration; brain atrophy; neuropathology |
Pablo Duque | UNED | deep learning |
Pablo Fernández-López | University of Las Palmas de Gran Canaria | ANN, forecasting, prediction |
pablo henriquez | universidad diego portales | neural network, multimodal data |
Pablo Hernandez Cerdan | Freelance | VoxResNet, Vasculature Segmentation, UNET |
Pablo Martínez-Cañada | University of Granada (Spain) | MEG, network modelling, excitation-inhibition, E/I, tau, A-Beta |
Pablo Mesas-Lafarga | Polytechnic University of Valencia | Deep learning, Alzheimer, Master, Degree |
Pablo Vitelli | IMPSA | Artificial intelligence techniques, detection |
Pacharapol Vorravanpreecha | KMITL | NeuralNetwork, AD, MCI |
Padhraig Gormley | GSK | MR, pQTLs, neuroimaging |
PADMA PRIYA VIJAYAKUMARAN | PhenoMX.Inc | AD, MCI |
Padma Selvaraj | Madanapalle Institute of Technology & Science | feature extraction/ selection, Machine/ Deep Learning |
Padmapriya J | Anna University | Computer-aided alzheimer’s disease diagnosis, fully convolutional networks, disc |
Padmini Krishnadas | NPL | dementia , imaging |
Padmini Kuchukulla | University of North Texas | Deep Learning, Computer vision, Image processing, Convolutional Neural Network, |
Padmini Mansingh | SOA deemed to be university | Alzheimer |
Pai-Ling Li | Tamkang University | functional data anlaysis; classification; data mining |
Paige Logan | Indiana University | Alzheimer's, fMRI |
Pak Chan | The University of Hong Kong | Alzheimer’s |
Pakhi Medhi | IDOL | Alzheimer |
Pál Vakli | Research Centre for Natural Sciences, Eötvös Lóránd Research Network | deep learning, neural networks, magnetic resonance imaging |
Palak Goyal | Thapar Institute of Engineering and Technology, Patiala | Alzheimer's Disease |
Palak Somani | NTU | - |
Palash Ghosal | NIT DURGAPUR ,INDIA | Deep Learning,Machine Learning,Neurodegenerative disease |
Palash Sharma | University of Kansas Medical Center | Alzheimer’s Disease,mitochondrial DNA,haplogroups |
Pallavi Joshi | Banner Alzheimer's Institute | MCI, AD, amyloid PET, hippocampal volume, MRI, alcohol use |
Pallavi Rane | NCIRE | APOE, AD stages |
Pallavi Saha | IIT Mandi | Alzheimer, |
Pallavi Saha | IIT Mandi | Alzheimer, |
Pallavi Saikia | Gauhati University Institute of Distance and Open Learning | Alzheimer |
Pallavi Saikia | Gauhati University Institute of Distance and Open Learning | Alzheimer |
pallavi srivastava | Stony Brook | dementia onset gender |
Paloma Fabiola Vazquez Jimenez | Instituto Mexicano del Seguro Social | Brain stem volumetry, neurocognitive disorder |
Paluck Arora | Thapar University | Deformable, CNN |
Pamela Guevara | University of Concepción | white matter bundles, anatomy, machine learning |
Pan Bangquan | SUN YAT-SEN UNIVERSITY | Multimodal method; Medical imaging |
Pan Fengfeng | Shanghai Jiao Tong University Affiliated Sixth People | Alzheimer's |
Pan Fu | Taizhou First People’s Hospital | Alzheimer's disease, synaptic degeneration, clusterin |
Pan Kai | Zhejiang university | Aβ,p-tau |
Pan Liao | University of Chinese Academy of Sciences | Neurology |
pan min | 山东师范大学 | AD |
Pan Rui | USTC | academic research |
Pan Wang | UESTC | AD functional and structural connectivity |
pan weibo | Institute of Computing Technology, Chinese Academy of Sciences | AD, medical big data |
Pan yingjie | Qingdao Unviersity of technology and science | Image-registering |
PANAGIOTA SPYRIDONOS | University of Ioannina | medical image machine learning |
PANAGIOTIS ALEXOPOULOS | University of Patras | neuropsychiatric symptoms, AD, activities of daily living |
Panagiotis Fotiadis | Massachusetts General Hospital | atrophy; cerebral amyloid angiopathy; alzheimer's disease |
Panagiotis Zacharis | Pharmatics Ltd | invariant representations, machine learning, deep learning |
PANDURANGA VITAL TERLAPU | Aditya Institute Of Technology And Management | Alzheimer, image processing, Deep Learning |
paneeth chinta | Bangalore Institute Of Technology | Alzheimers, CNN |
pang chenxuan | bnu | 123456aB |
pang yu | Central China Normal University | brain MRI Classification |
Pangpang Liu | Purdue University | Cox regression models; high dimensions; penalized empirical likelihood |
PANISSARA VARIN | USC | Master project |
Pankaj Barman | Ramakrishna Mission Vidyamandira | Data Science |
Pankaj Chand | University of Florida | Alzheimer's, MRI, PET |
Panlong Li | Zhengzhou University of Light Industry | fMRI, PET, network |
Panlong Li | Zhengzhou University of Light Industry | MRI, PET, AD |
Pannagaveni P J | VVCE | MRI scanning ,Artificial neural network, Error back propagation |
Pannatorn Janpitak | Kasetsart University | classification of alzheimer's disease |
Pannawit Panwong | Chiang Mai University | Image processing |
Panpan Zhang | Vanderbilt University Medical Center | fMRI, network analysis, cognition |
panpan zhao | First Hospital of Jilin University | immunity, dementia |
Paola Focheggi | Sapienza university of Rome | Alzheimer’s disease, machine learning approach |
Paola Francesca Antonietti | Politecnico di Milano | Neurodegenerative diseases, disorders, mathematical models, computa |
Paola Galdi | University of Salerno | networks, multi-modal data, classification |
Paolo Bosco | IRCCS Fondazione Stella Maris | MRI, dMRI, Connectome |
Paolo Brandolini | Università degli Studi di Milano | ADNI1, Deep Learning, GAN |
Papa Amadou SY | IA School | deep learning, project |
Papawee Sutthirat | University of Minnesota-Twin Cities | AI Machine |
Papiya Sarkar | Calcutta university | Alzheimer's disease, fMRI |
Parag Dutta | Indian Institute of Science (IISc), Bangalore | Temporal progression, Longitudinal modeling |
Parag Jain | Indian institute of information technology gwalior | Graph Neural Networks , Resnet |
Paramate Horkaew | Suranaree University of Technology | Image Processing |
Paramtap Mewada | Rishabh Software | Deep Learning, Radiogenomics, early detection |
pardeep malik | deenbandhu chhotu ram university of science & technology, sonipat | Alzheimer's disease, Deep learning, CNN |
Pardha Saradhi Reddy Annapareddy | Kansas state university | Alzheimer’s, Deep learning, CNN |
Pargol Tabatabaee | Ferdowsi | EEG |
parham hasani | university of Tabriz | data science, machine learning, AI |
Parham Hasani | University of Tabriz | machine learning |
Parham Moonesi Sohi | Amirkabir University of Technology | Machine learning, Alzheimer's Diagnosis |
Paria Jeihouni | WVU | alzheimer's disease, Machine learning, Deep learning |
parinaz hamzezade | Tarbiatmodares University | Alzeheimer |
Paris Adkins-Jackson | Columbia University | Measurement, validity, cognitive |
Parisa Arjmand | johns hopkins university | AZ. PTSD . fMRI |
Parisa farahani | university of north carolina at greensboro | thesis |
Parisa salma | National University of Computer and Emerging Sciences Islamabad | Image Registration |
pariya bnt | university of tabriz | brainage , MRI |
Park Eui-In | Hanyang Unicersity | AI, Alzheimer's Disease |
PARK Jun Young | Seoul National University | imaging genetics |
Park TaeKyeong | Hanyang University | dataset |
parnia karimian | iran university of medical science | ASL, cognitive impairment, Alzheimer’s disease spectrum, decreased CBF |
parnia pouya | Tabriz Medical University of Tabriz | parnia@123@adni |
Paromita Dubey | UC Davis | networks |
Parsa Haddadian | University of Tehran | early diagnosis of Alzheimer's, graph signal processing, AI for health |
Parsa Jahangiri pour | Payam nour university | Early detection |
Parsa Mirzayi | Tehran University of Medical Sciences | hippocampus, optogenetics |
Parsa Rezvani | shahroud university of medical sciences | Alzheimer - cognition - DTI |
Parshav Gandhi | Sardar Patel Institute of Technology | brain connectivity,cognitive decline,cognitive data,statistical analysis,biomark |
Parth Agrawal | IIT Kanpur | Machine Learning, Image Processing, 3D-CNNs |
Parth Goswami | Charotar University of science and technology,Changa | SELF ATTENTION, ADNI, CNN |
Parth Sharma | SMS Medical College and Attached Hospitals | ADNI Deep Learning MRI Imaging |
Parthasarathi Khirwadkar | Indian Institute of Technology Bombay | brain, MRI, registration |
parthi ban | VIT university | mri, alzheimers , CNN |
Parul Madaan | University of Califonia, Berkeley | Machine Learning Research |
Parul Tripathi | CDAC DELHI | Alzheimer's disease, FMRI Data, CNN, Ensemble Learning, |
Parya Eskandari | gilan | 2314 |
Pat Seyed | University of Marlyand | mri pet computer science |
Pat Tento | Pennsylvania State University | dementia, lifestyle, |
Pathompon Moonthianngam | University of Pennsylvania | Data analytics |
Patric Nilsson | School of Bioscience | biomarker, master education |
Patrice Péran | Inserm | Convolutional Neural Networks, Deep Learning, Classification |
Patrice Seyed | University of Marlyand | mri pet computer vision |
Patriche Perin | university of Verona | pathways |
Patricia Chocano-Bedoya | Bern Institute of Primary Care | metabolomics biomarkers dairy cognition |
Patricia Genius | BBRC | PRS; AD; GWAS |
Patrícia Gomes | ICVS | brain cancer |
Patricia Helena Salazar Arpa | University of Pompeu Fabra | brain modelling, simulations, students |
Patricia Stefancin | Stony Brook Medicine | Cognition and MRI |
Patricio Lara | Indoamerica | HPC, 3D VIEWS |
Patrick Colletti | USC | Dementia; FDG PET; MRI volumetry |
Patrick Dupont | KU Leuven | graph; rs-fMRI; cognition |
Patrick Emedom-Nnamdi | Harvard University | Alzheimer, machine learning |
Patrick Henriksen | Imperial College London | Robust training, neural networks, deep learning |
Patrick Hickey | Rutgers University | ADNI |
Patrick Jensen | Technical University of Denmark | Machine learning. Data analysis. |
Patrick Kampmeyer | The University of Tulsa | GWAS |
Patrick Lao | Columbia | amyloid, vascular disease, neurodegeneration |
Patrick May | University of Luxembourg | Polygenic Risk |
Patrick Meringolo | Arizona State University | MRI, Alzheimer, Imaging, Detection |
Patrick Pruitt | Oregon Health and Science University | resting-state functional connectivity; fMRI; arterial spin labeling; aging |
Patrick Quinn | TAMU | Statistical Analysis, Undergrad Research |
Patrick Schürmann | FHNW | Machine learning, visual analytics |
Patrick Wessa | KULeuven | MCI, Alzheimer's disease, digital biomarkers |
patrizia ribino | cnr | Alzheimer, Machine learning, cognitive decline |
Patrycja Dzianok | Nencki Institute of Experimental Biology PAS | APOE, granulocytes, risk-genes |
Paul Aisen | University of Southern California | Alzheimer's, disease progression models |
Paul Baiju | AERO | AI |
Paul Beckmann | MD Anderson Cancer Center | APOE, Alzheimer's disease |
Paul Bernal | Johns Hopkins University | Data Scientist in the making |
Paul Blanc | APHP | probabilistic FDG PET conditional variational auto encoder |
Paul Butler | Biogen | neuropsychology, Alzheimer's disease, MCI, aging |
Paul Chong | Campbell University School of Osteopathic Medicine | MRI, Alzheimer's, QSM, machine-learning |
Paul Chung | Northwell Health | Imputation |
Paul Crane | University of Washington | mediation, alzheimer's, biomarkers |
Paul De Sousa | Massive Analytic | data science machine learning, neurodegenerative diseases, blood biomarkers |
Paul Edison | Imperial College London | tau amyloid cardiovascular risk |
Paul Hager | LMU | myelin, machine learning, GAN, PET, DTI |
Paul Kanda | HebUT | image processing, deep learning |
Paul Kim | U. of Southern California Keck School of Medicine | mild traumatic brain injury |
paul lee | National University of Singapore | DeepLearning |
Paul Macey | UCLA | sleep; autonomic; limbic |
Paul Maeder-York | University of Miami | biomarkers, AD, cerebral amyloid angiopathy |
Paul Mandal | University of Texas at Austin | Neural Networks, Deep Learning, Graph Neural Networks, Convolutional Neural Netw |
Paul Martino | Houghton College | Feature Selection, Machine Learning, Autodock Vina, Amyloid-beta(1-42) |
Paul McCracken | ICON Plc | DTI, ASL, fMRI |
Paul Newsome RN | Ohiohealth | ohiohealth |
Paul Peseux | Litis | gradient descent-categorical features-machine learning |
Paul Pooley | Duke | data request |
Paul Reiners | University of Minnesota | adrenoleukodystrophy loes-scoring |
Paul Scheyhing | Rheinische Friedrich-Wilhelms-Universität Bonn | Machine learning, Alzheimer's Disease prediction, PVS segmentation |
Paul Unschuld | University of Zurich | PET, biomarkers, machine learning |
Paul Valdmanis | University of Washington | whole genome sequencing, RNA sequencing, alternative splicing, APP, PSEN1, PSEN2 |
Paul Vaska | Renaissance School of Medicine at Stony Brook University | AV-1451 tauvid PET impairment WTC responder |
Paul Wright | King's College London | neuroradiology, dementia, stroke, machine learning, artificial intelligence |
Paul Yushkevich | University of Pennsylvania | hippocampus |
Paula Aranguren | Universitat Oberta de Catalunya | NGS, Bionformatics. Biostatistics, phenotype, genotype, software |
Paula Carmona Gallego | Universidad autónoma de Manizales | Machine learning |
Paula Castro | Universidad Carlos III Madrid | Alzheimer, Machine Learning, Multi-Modal data, MRI, SupervisedLearning |
PAULA GONZALEZ | CONICET-HEC-UNAJ | Aging, asymmetry, South American populations |
Paula Perez | universidad militar nueva granada | imagenes |
Paula Rodriguez | Universidad Militar Nueva Granada | PET, Alzheimer |
Paula Sampaio | Center of Medical Research - Faculty of Medicine, University do Porto | Alzheimer's Disease, Photonics, Artificial Intelligence algorithms. Optical Fing |
Paula Vila | Imperial College London | Alzheimer Classification, MRI data |
Paula Villasante | Universitat Oberta de Catalunya | pharmacogenetics, biomarkers, pharmacogenomics, alzheimer |
Pauli Ohukainen | University of Oulu | Metabolomics, lipidomics, epidemiology, machine learning, self-organizing map |
Paulina Devora | The University of Texas at Dallas | IQ; education; memory; naming |
Pauline Huang | Stony Brook University | alzheimers |
Paulo Alves | Universidade do Minho | MRI, MCI |
Paulo Branco | Northwestern University | Pain, Subcortical Volume |
Paulo Henrique Rosado de Castro | Federal University of Rio de Janeiro | 18F-FDG PET, Alzheimer disease, mild cognitive impairment |
Paulsson Lowell Abrugar | Caloocan City Science High School | PET, convolutional neural network |
Paulus Kapundja Shigwedha | Kogakuin University | Positron emission tomography, receptor parametric imaging, graphical analysis |
Pavan Chaggr | University of Oxford | Alzhiemer's, morphology, degeneration |
Pavan Kishore Ramavath | National Institute of Technology Kurukshetra | MRI, Alzheimer, Research |
Pavan Kumar SP | VVCE Mysuru | Brain Imaging , Machine learning |
Pavan Rajkumar | CMR Institute of Technology | Neural Network, Alzheimer's Disease, Deep Learning |
Pavan Reddy | Tata Consultancy Services | early diagnosis, alzheimer's, MRI, PET |
Pavan Tummala | Otto Von Guericke University | Deep Learning, Pytorch |
Pavani Jandhyala | Georgia State Univeristy | ADNI, sMRI data |
Pavankumar Prakash Savanur | Rutgers University | Database project |
PAVANYADAV SHIVAJI RAO | St Francis Xavier university | data analytics |
PAVITHRA BALA | LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING | ALZHEIMERS , EEG |
Pavithra Elumalai | The Institute of Mathematical Sciences | graph theory, network geometry, functional connectivity networks |
Pavithra Nagarajan | Harvard T.H. Chan School of Public Health | alzheimer's disease, methylation, biomarkers, non-invasive, prediction |
Pavithra Rajanampalle | Sharda Group of institutions - agra | ANDI, Alzheimer's Disease Prediction |
Pavithran Pattiam Giriprakash | Cleveland Clinic | fMRI, MCI, AD, normal cognition, resting state |
Pavle Mihajlovic | None | ML, imputation challenge |
Pavol Freivolt | universitas comeniana bratislavensis | Alzheimer, clasification, Convolutional Neural Network |
PAWAN KUMAR SINGH | G L Bajaj Institute of Technology and Management, Gr Noida | Machine Learning |
Pawankumar Jawale | VIT Vellore | MRI, ML, Classification, Alzhemier's |
Pawarisa Niamthong | Thammasat University | alzhiermer's disease, genetic marker |
Pawel Markiewicz | University College London | PET, amyloid, longitudinal analysis, power calculations |
Pawel Winklewski | Medical University of Gdansk | connectivity, FDG, BOLD, DWI, DTI |
Payam Hosseinzadeh Kasani | Kangwon National University | Machine Learning, Alzheimer's disease |
Payam Jannatdoust | Tehran university of medical sciences | rsfmri, DMN, CSF biomarkers |
Payel Sardar | Indian Institute of Science | AD research with machine learning |
Pearl S | HCL Technologies | research |
Pearl Zhu | San Jose State University | Alzheimer, Cellular Pathways |
Peder Lillebostad | University of Bergen | CNN, neural network, connectome |
Pedram Mohammadi | University of British Columbia | high dynamic range, quality enhancement |
Pedram Soltani | Iran university of medical sciences | Alzheimer, dementia |
Pedro Borges | King's College London | MR Segmentation, Deep learning |
Pedro Cavalcanti | UFRN | Image Processing, MatLab. |
Pedro Furtado | Universidade de Coimbra | medical imaging |
Pedro Henrique Caramalac | USP | Convolutional Neural Networks, Digital Image Processing, Alzheimer Disease |
Pedro Henrique Ramos de Havila | Pontifical Catholic University of Paraná | CNNs;fRMI;Alzheimer Disease |
Pedro Henrique Toledo de Oliveira Sousa | Unicamp | functional data analysis |
Pedro Maia | University of Texas at Arlington | Data-driven methods, machine learning |
PEDRO MANUEL RODRIGUES DE MOURA | UFG | Data Science |
Pedro Mateus | Maastricht University | federated, learning,brain,age |
Pedro Pesini | Araclon Biotech-Grifols | plasma, Abeta, biomarker |
Pedro Piquet | State University of Campinas | Classification, Alzheirmer's, MCI |
Pedro Renato De Paula Brandão | UNIVERSITY of Brasília | Parkinson, dementia, MRI, DTI |
Pedro Rodrigues | Universidade da Madeira | Machine Learning, Artificial Neural Networks, ANN |
Pedro Rodrigues | Universidade Católica Portuguesa | Alzheimer's Diasease, Mild-Cognitive Impairment |
Pedro Sanchez | University of Edinburgh | Causal inference, ageing, MRI |
Pedro Vidor | UFRGS (Medical Student) | Alzheimer's; disease; angiogenesis; AD. |
Pedro Vidor | Universidade Federal do Rio Grande do Sul (Brazil) | Alzheimer's disease, VEGF, VEGF-A, omics, blood, plasma, CSF |
Peerapat Panpong | Thammasat | โรคอัลไซเมอร์ สารออกฤทธิ์ทางชีวภาพ สมุนไพรไทย เครือข่ายทางชีวภาพ เครือข่ายความสั |
Peerawat Wattanachareekul | Chulalongkorn university | Brain, Epilepsy |
Pegah Khosropanah | University of Exeter | Neurodegenerative disease, MRI, rs-fMRI |
pegah rasoulian | tehran | neuroimaging study-programming method |
Pei Fen Kuan | Stony Brook University | Causal Inference, Mendelian randomization |
Pei Geng | Illinois State University | Functional data analysis, neural networks, application in ADNI |
Pei Guo | Shanxi medical university | AD |
Pei Minyue | Peking University | dementia; prevalence |
pei shuyue | Nanjing University of Aeronautics and Astronautics | ADNI |
pei wei | xiamen university | machine_learning modeling cognitive_impairment |
Pei-Ran Huang | Technical University of Munich | self-supervised multimodal representation learning |
PEICHEN JIANG | Fudan University | Alzheimer, deep-learning |
Peicong Ge | Beijing Tiantan Hospital, Capital Medical University | biomarkers, AD, machine learning |
Peide Li | Michigan State University | Neuroimage classification |
Peihao Fan | University of Pittsburgh | Alzheimer's Disease; Machine learning; Biomarker; |
peij guo | Huazhong University of Science and Techn | radiomics;machine learning |
Peijia Xu | University of Florida | Hippocampus segmentation |
Peiliang Wu | The First Affiliated Hospital of Wenzhou Medical University | Smoking; Mild cognitive impairment; Alzheimer’s disease; Entorhinal cortex; Long |
Peiman Aminabadi | University of California, Davis | Tau+/Aβ- |
Peiming Huang | Zhejiang University of Technology | medical image segmentation, medical image regsitration |
peipei yuan | Huazhong University of Science & Technology | Data analysis, machine learning |
Peiran Li | University of Wisconsin-Madison | Reconstruction |
Peirong Gao | Zhejiang University | BIN1,AD biomarker |
Peixin Lu | Wuhan University | Multi-model, Incomplete,early, |
Peiyan ZHANG | Hong Kong University of Science and Technology | Robust Computer Vision, Alzheimer’s Disease |
Peiyang Gao | Qingdao University | Alzheimer |
Peiyao Wang | University of North Carolina at Chapel Hill | statistics, meta-analysis |
Peiyu Huang | Zhejiang University | CBF, network |
Peiyu Liang | Temple University | Multi-Model GNN |
peizhao li | 东华理工大学 | 医学图像 |
Pelayo Vieites | Universidade da Coruña | dicom |
peng chen chen | Chongqing University of Posts and Telecommunications | 研究 |
Peng Cheng | Suzhou Nano Institute | Training model |
Peng Dai | Ryerson University | deep learning, LSTM, explainable AI |
peng fei | lanzhou university | network |
Peng Gui | Wuhan University | medical image registration |
Peng Ji | Fudan university | Cascading, Networks |
Peng Jin | New York University School of Medicine | functional data analysis, subgroup identification, machine learning |
Peng JinCheng | 秋田县立大学 | 1234567890123456 |
peng kaiqian | xihua university | classification recognition |
Peng Lei | Sichuan University | TBI, tau, Alzheimer's disease |
Peng Lin | Guangxi Medical University | MRI, AD |
Peng LIU | University of Kent | functional data |
Peng Liu | The Second Affiliated Hospital, Zhejiang University School of Medicine | biomarker; Alzheimer's disease; progression |
Peng Long | Communication University of Zhejiang | Brain science,Research |
Peng peng | Central South University | Alzheimer’s disease; Mild cognitive impairment;Deep learning; Multi-modal neuroi |
Peng Peng | Central South University | Alzheimer’s disease; Mild cognitive impairment;Deep learning; Multi-modal neuroi |
Peng Qing | Pusan National University | neuroimaging biomarkers, AD, machine learning |
Peng Quan | Guangdong medical university | locus coeruleus, hippocampus, sleepness |
Peng Ren | Harbin Institute of Technology | NeuroImaging Genetics |
Peng Shaokang | Zhengzhou University | research |
Peng Sirui | Huazhong University of Science and Technology | Early-onset AD,Larly-onset AD,PET,Aβ,NPI |
Peng Songjun | Fudan University | whole-brain modelling, Alzheimer's disease, virtual manipulation |
peng tryna | 福建工程学院 | cells |
PENG WU | China | DKI;Alzheimer's disease, mild cognitive impairment |
Peng Wu | The First Affiliated Hospital of Wenzhou Medical University | Osteoarthritis; Alzheimer’ disease; Mild cognitive impairment; APOE; Cognitive d |
Peng Xianming | Beijing industry and business university | academic;nonprofit |
peng xike | shanghaitech university | AD |
Peng xinmiao | School | 0 |
peng xq | SCNU | analyzing morphometry differences |
peng xu | Yunnan University | NA |
Peng Yang | Shenzhen University | Alzheimer's disease, Medical image analysis |
peng yang | National university of defense technology | Artificial Intelligence (AI) , machine learning, Convolutional Neural Networks |
Peng Yifei | Zhengzhou University | Alzheimer's disease |
Peng Yingxue | xiamen university | none |
peng yuan | Hunan University | deep learning |
peng yue | chinese academy of sciences | Medical Image Analysis |
PENG ZHAO | University of Plymouth | early detection, assessment, multimodal data analysis |
peng zhou | China Medical University | AD cognitive |
peng zhu | Daping Hospital, Army Medical University(Third Military Medical University)3114. | sAppα Aβ Tau |
peng zigao | BUPT | cognitive impairments |
Peng Zijian | Tsinghua University | AI, Diagnosis |
Peng-Fei Zhang | Qingdao University | Eating disorders, Alzheimer’s disease, PET |
pengcheng cui | Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences | brain atlases |
Pengcheng Li | CQUPT | MRI segmentation |
Pengcheng Li | Harbin University of Science and Technology | Brain image segmentation |
pengcheng Ma | Yan 'an hospital affiliated to kunming medical university | MRI |
Pengcheng Shi | Harbin Institute of Technology (Shenzhen) | classification,features |
Pengcheng Xia | shandong frist medical university | Alzheimer |
Pengcheng Yu | Shanghai Jiao Tong University | test with registration algorithm |
pengcheng zhang | 大连医科大学 | Zhangpengcheng!!! |
pengchneg lei | ECNU | reconstruction |
PengF YU | The Second Affiliated Hospital of Nanchang University | PerAF;AD |
Pengfei Guo | Johns Hopkins University | MRI, acceleration, reconstruction |
Pengfei Zhang | Arizona State University | Self-supervised learning, 3D medical image analysis |
Pengfei Zhao | Shenzhen People's Hospital | Bioinformatics |
Pengjie Cao | Taiyuan University of Technology | Hypergraph neural network, sMRI, Alzheimer's disease |
Pengwei Sun | Stanford University | Hippocampus, MRI |
Pengwei Zhu | University of Texas Health Science Center at Houston | Brain network, deep learning |
pengxi wang | College of Public Health, Zhengzhou University | Alzheimer's disease |
pengxin geng | Weifang Medical University | gpxx2000/03/26xX |
pengxinwen pengxinwen | Tiangong University | research on disease prediction |
pengyu wang | zhengzhou universtiy | Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neuro |
Pengyu Wang | City University of Hong Kong | Alzheimer's disease MRI PET |
Per Steffen Czolbe | University of Copanhagen | Medical Image Registration |
Per Suppa | Charité University Medicine Berlin | hippocampus; image quality; deep learning |
Perla Jazmin Mayo Diaz de Leon | University of Bristol | HSS, Deep Learning, Machine Learning, Epilepsy |
Perrine Huet | Sorbonne University | nonlinear, AD, PLOS |
Perry Ridge | Brigham Young University | bioinformatics, gene discovery, next-generation sequencing |
Perumal Srinivas | SURVELLANT TECHNOLOGIES PTE LTD | ADNI |
Pete Philipson | Northumbria University | Joint modelling, multivariate longitudinal, survival, Alzheimer's disease |
Peter Ackerman | Biohaven Pharmaceuticals | biomarkers, neuroinflammation, MCI/early AD |
Peter Ardhianto | Asia University Taiwan | deep learning, clara, multi-task, computer vision, alzheimer |
Peter Bayley | VA Palo Alto Health Care System, | CYP191A, hippocampus, apoe4, neuropsychology |
Peter Bradley | Surrey University | Artificial Intelligence, Alzheimers |
Peter Buto | University of California - San Francisco | MRI, Alzheimer's Disease/Related Dementias, |
Peter Hessey | Microsoft Research | Medical Imaging, Segmentation, Computer Vision, Deep Learning, MS, Alzheimer's |
Peter Hsu | NYU Langone Health | AI Brain Segmentation |
Peter Jones | university of cambidge | dementia, sequence hamonisation, multispectral sequences |
Peter Kemenczky | Research Centre for Natural Sciences, Hungary | Machine Learning, MRI, |
Peter Kim | Institute of Data | Capstone project, DNN |
Peter Millar | Washington University in St. Louis | Brain-predicted age, Alzheimer's disease, preclinical AD, machine learning |
Peter Neher | German Cancer Research Center (DKFZ) | dMRI, tractometry, machine learning |
Peter Nicholas | Omniscient | alzheimer's MRI connectomics |
Peter Olejua | University of South Carolina | FPCA, Survival |
Peter Panegyres | Neurodegenerative Disorders Research Pty Ltd | Alzheimer's disease, cerebellum |
Peter Park | Harvard Medical School | clonal hematopoiesis, Alzheimer’s disease, Dementia |
Peter Quarg | Novartis Pharma AG | biomarker |
Peter Rehani | University of Wisconsin Madison | GWAS, eQTL, Colocalization, causal variants, Alzheimer's Disease |
Peter Stewart | Geisinger Health System | Brain Extraction |
Peter Wijeratne | University College London | Disease Progression Modelling; Machine Learning; Biomarkers |
Peter Young | University of Gothenburg | PET, amyloid, kinetic modelling |
Peter Zeidman | University College London | Bayesian dynamics Alzheimer's MCI |
Petr SLOMINSKY | Institute of Molecular Genetics | neural networks, machine learning, association study |
Petra Heiden | University Hospital Cologne | connectivity |
Petra Ritter | Charité Universitätsmedizin Berlin | Alzheimer's, Brain Simulation, PET |
Petrice Cogswell | Mayo Clinic | MRI, aging |
Petroula Proitsi | King's College London | Metabolomics, lipidomics, Polygenic Risk Scores, Causality |
Pham Anh | UET | rnn |
Pham Hoai Bao | International University - VNU-HCM | Artificial Intelligence |
Pham Nam Son | Le Quy Don University | PET |
Phani Sree | kl university | cnn,filtering |
Phebe Wilson | Capitol Technology University | trajectory, Alzheimers |
PHEI GEE LIM | University of Tun Hussein Oon Malaysia | Alzheimer's Disease, Machine Learning, Early Detection |
Phil Lee | University of Kansas Medical Center | CBF |
Philip Barber | University of Calgary | stroke; TIA; brain atrophy; dementia |
Philip Crooke | Vanderbilt University | A-to-I editing, inflammation, biomarkers |
Philip Dickinson | McGill University | resting state, connectome wide association |
Philip Evans | Durham University | Deep Forest, Multimodal AI, Medical Diagnosis, Alzheimer's |
Philip Insel | NCIRE | power, rates of change |
Philip Kasper | FH Joanneum | eHealth FreeSurfer Pipeline LETHE Master's Thesis MUW |
Philip S. Yu | University of Illinois Chicago | subgraph mining, deep learning, tensor factorization |
Philipp Kopper | Ludwig Maximilian University Munich | machine learning, deep learning, survival analysis, multi modal data |
Philippe Albouy | Université Laval | Morphometry |
Philippe Rast | University of California, Davis | Individual network models, intraindividual variability |
Philippine Cordelle | Telecom Paris | Impelmentation of Alzheimer's disease progression score for my Master |
Phillip Wallis | Oregon Health Science University | neural networks |
Phirat Passi | Sikkim Manipal Institute of Technology | Brain stroke |
Phoebe Hsu | Lumiere Education | Alzheimer's disease, depression, beta-amyloid, tau |
Phoebe Scollard | University of Washington | psychometrics, cognitive domains, CFA, IRT |
Phoebe Walsh | University College London | White Matter Hyperintensities Biomarkers |
PHUONG ANH CHU DANG | Sungkyunkwan University | machine learning, deep learning |
Phuong Thao Nguyen | University of Calgary | University project |
Phuphiphat Jaikaew | Thammasat University | WGS data, Alzheimer's disease, genetic markers |
Phuphiphat Jaikaew | Thammasat University | Genetic interaction, SNP-SNP interaction, Epistasis |
Phyo Wai Minn | Karolinska Institutet | MRI, brain age, explainable AI |
Piaopiao Jin | Zhejiang Chinese Medical University | MCI,alzheimer’s disease,biomarkers,sleep,circadian rhythm |
Piea Peng Lee | Singapore Management University | multi-class, ROC, optimal threshold, regression |
PIEDAD GARCÍA | Ciudad Real Universitary Hospital | IA in AD |
PierGianLuca Porta Mana | HVL | Bayesian analysis, Mild Cognitive Impairment |
Pierre Besson | Northwestern University | Deep learning, prediction, big data |
Pierre Charitat | ENS de Lyon | Elastic metric |
Pierre Etienne | ActuReal Services and Consulting Pvt.Ltd. | Converson to MCI |
Pierre Luisi | Universidad Nacional de Córdoba | Polygenic Risk Scores; Endophenotypes; Genome-Wide Association Study |
Pierre Zavattero | Telecom Saint Etienne | depp learning MR CT |
Pierre-Francois Meyer | McGill University | inflammation csf plasma pathophysiology |
Pierre-Yves Jonin | Inria | Hippocampus; shape; segmentation; diffeomorphic deformations |
Pierrick Bourgeat | CSIRO ICT Centre | Segmentation, registration, longitudinal study |
Pierrick Coupé | LaBRI UMR 5800 | hippocampus |
Pieter Van der Veere | Amsterdam UMC | Validation, MMSE, ADC |
Pietro Gori | Télécom ParisTech | T1, DWI, statistical shape analysis, education |
Pietro Venturini | University of Brescia | deep learning, AI, MRI |
Pilla Yamini Lakshmi Manasa | National Institute of Technology, Kurukshetra | Deep neural networks |
Pinar Ozel | Nevsehir Hacı Bektas Veli University | frmi, |
ping cai | Xidian University | Functional connectivity . Amnestic mild cognitive impairment |
Ping Hsuan Wei | Drum towel hospital | network function, structural changes, tau |
Ping Hu | Johnson and Johnson | Alzheimer's Disease Research |
ping liangliang | xiamenxianyue hospitai | Neuroimaging machine learning |
Ping Ren | Shenzhen Mental Health Center&Shenzhen Kangning Hospital | aging, Alzheimer's disease, fMRI, cognitive training |
Ping touoge | Brown University | Automatic description gen‐ eration from images: A survey of models, datasets, an |
ping xu | 无 | functional cox model |
ping yang | Guizhou Normal University | cluster analysis |
Ping Zhang | The Ohio State University | Deep learning; Patient similarity; subphenotyping |
Ping Zhang | Technische Universität Kaiserslautern | temporal bvehaviour; early detection of Alzheimer |
Ping-Han Lin | NCTU | AD |
pingfan mo | 南京师范大学 | PCA |
Pingfan Song | University of Cambridge | machine learning, Alzheimer's Disease, stratification, trajectory modelling |
Pingkun Yan | Rensselaer Polytechnic Institute | Brain imaging genomics, deep learning |
PinJui Huang | National Chiao Tung University | Deep learning, computer vision, MRI image, disease forecast |
Pinxian Zeng | Sichuan University | PET, MRI, Multimodal |
Piotr Kamola | GlaxoSmithKline | Biomarkers, Patient Stratification |
Pirta Salojärvi | Aalto University | Altzheimer, functional brain networks |
Pitchumani Angayarkanni Sekaran | Sri Ramachandra Institute of Higher Education and Research | Classification and Segmentation |
Piyush Kolte | Fr C Rodrigues Institute Of Technology | MRI Scans |
PIyush Maiti | USC | dti, dti analysis |
Piyush Nagpal | International Institute of Information Technology, Pune | RESEARCH, ALZHEIMER |
PKS Prakash | ZS Associates | AI/ML, EHR, Multi-modal |
PLACIDA ORLUNWO | Ignatius Ajuru University of Education | data mining, prediction |
Po-Chih Kuo | National Tsing Hua University | deep learning |
pod young | HIT | brain connectome |
Polina Borisova | NRU HSE | Topological data analysis, persistent homology, combinatorial Laplacians |
Polina Druzhinina | Skoltech | 3D CNN, classification |
Polina Emeliyanova | The University of Manchester | White matter, grey matter |
Polina Moroza | Radboud University | temporal pooling, machine learning, image analysis, Alzheimer’s disease |
Polly Roads | University of Manchester | cognitive impairment, MRI biomarkers, white matter hyperintensity |
Pongsatorn Jarurachatapun | chulalongkorn university | lesion epilepsy |
Pontus Eriksson | University of Gothenburg | Atypical Alzheimer's Disease ADASCOG |
Pontus Tideman | University of Lund | Beta-amyloid Cognitive tests |
Pooja Guhan | University of Maryland College Park | mental disorder, biomarkers, artificial intelligence, causality |
Pooja Iyer | University of Southern California | Spatial memory, navigation, mri, fMRI, eeg, cerebellum, |
Pooja Khanna | Amity University | dementia, pet tets MRI, physical test |
Pooja P | Institute of Bioinformatics | Transcriptome |
Pooja Rai | Indian Institute of Science | MCI, amnestic and non amnestic |
Pooja Rathod | KLE INSTITUTE OF TECHNOLOGY | MCI to AD |
poojith Kamireddy chengalreddy | Ulster University | Healthy Control (HC), Mild Cognitive Impairment (MCI), and Alzheimer’s disease ( |
Poonam Verma | NIT Patna, India | Brain MRI classification |
POONGODI S | PSG College Of Technology | Early Prediction, Alzheimer, Society , Research,MRI |
Poonguzhali Elangovan | National Institute of Technology Puducherry | Database, research |
Pooriya Khorramyar | Halmstad University | Classification, Visual Transformers, Deep Learning |
Poornachandra Karanth | SJCE, Mysuru | CSF, Grey Matter, White matter, MRI |
poornesh waran | HTIC | we analysis on different mri tumor to segment out |
Poornima Haridas | New York University | GNN, Deep Learning, Alzheimer's Disease |
Pooya Mazloomi | Tarbiat Modares University | cognitive impairment, deep learning, image processing, early detection |
pooya rabiei | university of mazandaran | deep learning |
Pooyan Safari | Fraunhofer | AI, Privacy Preserving Machine Learning, Distributed Learning |
porter hary | WWO | tlw2003031566 |
pouneh Abbasian | Texas A&M university | Alzheimer, Neural Network, Deep learning |
Pourya Bahiraei | tehran university of medical sciences | mci,alzheimer,mri,cortical atrophy |
Prabha Siddarth | UCLA | mild cognitive impairment; Alzheimer's disease; biomarkers; cognitive tests |
Prabhakar A T | Christian Medical College, Vellore | Lesion based study, Stroke, Lesion network mapping |
Prabhjot Kaur | CU | MRI, sMRI , sparse representation |
Prachee Patel | Sarvajanik university | image to image translation, deep learning, GAN, medical image translation |
Prachi Gupta | University of Delhi | AD |
Prachi Kadam | Symbiosis Institute of Technology | Clustering algorithm, Unsupervised learning |
Prachi Natu | MPSTME, NMIMS University | Alzheimer's diseases, Deep learning |
Prachi Palsodkar | Yeshwantrao Chavan College of Engineeing | alzheimer, neurological disorder |
Prachi Rathod | University of Cincinnati | Machine learning, Deep learning |
Pradeep Bajracharya | RIT | MRI; Brain; Artifact |
Pradeep Varathan | IUPUI | dementia, hippocampus,connectivity,functional map |
Pradip Thapa | City College of New York | Brain CT |
pradip Wasre | INEURON | alzheimer's disease prediction |
Pradipta Maji | Indian Statistical Institute | Multimodal data analysis, fMRI, SNP |
Pradnesh Bhike | AISSMS College of Engineering Pune | Study, CNN |
Pradnesh Kolluru | Duke | Conn ToolBox |
Pradyumn Bonu | Northwestern University | Machine Learning, Data Analysis, Image Analysis, Mental Illness Detection |
Pradyumna Bharadwaj | The University of Arizona | MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID |
Pragati Khandelwal | Medi-Caps University | machine learning project |
Praghajieeth Gopalan | Helsinki University | MCI |
Pragya Rajvsnahi | Miet | Machine learning |
Pragya Yadav | Indraprastha Institute of Information and Technology, Delhi | ADNI |
Prajoy Podder | BUET | Deep learning |
Prajwal Gupta | PESU | Super resolution, MRI, neural network, image enhancement |
Prajwal Gupta | SRM Institute of Science and Technology | Alzheimer, Deep learning |
Prajwal Panzade | Georgia State University | Alzheimer's disesase, 3D-CNN |
Prajyot Morey | Indian Institute of Technology, Mandi | MRI |
Prakaikeaw Sungthong | Kasetsart University | alzheimer's disease |
Prakash Parvataneni | Thomas Jefferson University Hospital | n/a |
Prakshi Gupta | Indian Institute Of Technology, Delhi (IITD) | CNN, Alzheimer’s prediction, VGG19 |
Prama Putra | University of Oxford | Braak stageing, mathematical modelling |
Pramod Bharadwaj Chandrashekar | University of Wisconsin Madison | Deep learning, multimodal integration |
Pranab Hazra | National Institute of Technology | Alzheimer's disease |
Pranash R | Sathyabama Institute of Science and Technology | CNN |
Pranath Reddy Kumbam | Univeristy of Florida | ML in Medicine |
pranav desai | scet | machine learning |
Pranav Gupta | IIT BHU | CNN, Image Processing, Dementia classification |
Pranav Narnur | University of Arizona | Neuroimaging, Machine Learning, Deep Learning |
Pranav Soni | Manipal University Jaipur | MRI, Machine learning, project |
PRANEETH NAIDU | OSMANIA UNIVERSITY | alzhimers disease, hippocampus |
Pranitha Premnath | The Graduate Center, City University of New York | NPS, AD, NPI, Cognition |
Pranjal Dave | Ryerson University | Deep Learning, Computer Vision |
Pranjal Rai | Indian Institute of Technology Delhi | Deep learning, CNN, Computer vision |
Pranjali Singhal | Thapar Institute of engineering and technology | 2d CNN+LSTM fusion ,svm for classification |
Pranjul Tiwari | IEC-CET | alzheimer data-PT |
Pranovesh K J | PSG College of Technology | Alzheimer's Disease Detection |
Pranto Kubi | East West University | Research, machine learning model, Alzheimer’s Disease detection, MRI |
Prapti Barman | National Institute of Technology, Arunachal Pradesh (INDIA) | Segittal Plane, Alzheimer Desease, Deep Learning |
Prasad Adhiyaman | Vellore institute of technology, chennai | Ml model |
prasannakumar madigani | jntuk | image processing techniques, biomarkers, machine learning |
PRASANTA KUMAR DASH | National Institute of technology,Raipur | Brain images,MRI images.PET,SPECT,feature selection,Biomarkers,T1,T12 weighted |
Prasanth Bathala | Georgia Institute of Technology | Machine Learning, Alzheimer's Disease, |
Prasanth BOKAM | CHL | MRI |
Prasanth Koduri | National institute of technology Calicut | For research |
Prashant Dogra | Houston Methodist Research Institute | Alzheimer, biomarker, modeling |
Prashant Jha | The University of Texas at Austin | segmentation, tumor growth model, cancer research |
Prashant Kukde | LJMU UK | AD |
Prashant Kumar | National Institute of Technology Raipur | ADNI |
prashant kumar | jiit,sector 62 | working on mir |
Prashant Upadhyay | Gautam Buddha University | Alzheimer's Disease Classification |
Prashanth Dumpuri | Indian Institute of Technology, Madras | Precision medicine, analytics platform |
Prashanth R | Siemens Healthcare | machine learning, artificial intelligence, |
Prashnna Gyawali | West Virginia University | multimodal AI |
Prasun Datta | Bangladesh University of Engineering & Technology | Brain MRI Scan |
Prasunika Khare | IIT Roorkee | ADNI,feature extractor |
Prateek Bhatnagar | liverpool john moore university | Alzheimer |
Prateek Walia | University of Ottawa | alzheimer's disease, mild cognitive impairment, MRI, MCI-to-AD |
Prathi Vithanage | Turramurra High School | Tau protein, Alzheimer's Disease |
Prathima B N | M S Ramaiah University of Applied Science | Computer aided diagnosis Mild cognitive impairment Alzheimer's disease MRI |
PRATHYUSHA AKUNDI | International Institute of Information and Technology Hyderabad (IIITH) | Registration with deep learning |
Pratibha Maurya | Amity University, Lucknow Campus | machine learning mdels |
Pratik Jain | New Jersey Institute of Technology | Alzheimer's, fMRI, individual differences |
Pratik Priyadarsan | National Institute of Technology Rourkela, India | Alzheimer's disease, Feature Selection |
Pratik Purohit | Indian Institute of Technology (I.I.T.) | White matter volume, Grey matter volume, Causation analysis, Cross-correlation |
Pratim Guha Niyogi | Michigan State University | Functional data analysis, Spatial data analysis, High dimensional data analysis |
Pratim Guha Niyogi | Michigan State University | Functional data analysis, Spatial data analysis, High dimensional data analysis |
Pratinav Seth | Manipal Institute of Technology | Alzheimer's diseases, Generative Adversial Network,Disease Progression |
Pratyush Shandilya | Carnegie Mellon University | Deep Learning, Image segmentation, Entorhinal cortex, Hippocampus |
Pratyusha Majumder | UCLA | Medical Imaging, coursework |
PRAVEEN KUMAR REDDY YELAMPALLI | BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCES, PILANI | MRI, CT, DEFORMABLE IMAGE REGISTRATION |
PRAVEENA N G | RMK COLLEGE OF ENGINEERING AND TECHNOLOGY | Medical fusion, CNN |
Pravesh Parekh | National Institute of Mental Health and Neurosciences | machine learning |
pravin raut | codeft | Alzheimer’s detection |
Pravin Shedbale | SVERI's College of Engineering, Pandharpur | AD Detection |
Prayas Sanyal | Heritage Institute of Technology | Longitudinal Study, Mild Cognitive Impairment, Neuroimaging, Alzheimer's Disease |
prechapol indrasook | MADE BY AI COMPANY LIMITED | K-Means Clustering |
Preet Mehta | Northeastern University | ADNI Bone Paper |
Preethi Bhaskaran | NIT Trichy | dementia,alzheimer's |
Preeti Topannavar | JSPM | Alzheimers Disease Detection, MRI, Machine Learning |
Prerak Desai | GSK | translational precision medicine |
Preshanth Adhini Ramesh | Northeastern University | alzemers dataset |
Preston Putzel | University of California Irvine | Deep Learning, Survival Analysis, Dynamic |
Prince Heir | UoK | Ai, Unet, ADNI |
Prince Heir | UoK | Ai, Unet, ADNI |
Prince Kumar | Institute of infrastructure technology research and management | Alzheimer deep learning |
Prince Lassemento Fully | Indian Institute of Technology Madras | Alzheimer , Biomarkers |
Priscilla Amofa Sr. | University of Florida | iADLs, ECog, FAQ, |
Pritam Gupta | Indian Statistical Institute | DL,ML |
Prithvi Arunachalam | University of Gothenburg | Biomakers, PET, AD |
Priti Aher | Savitribai phule pune university | consensus multiview clustering model for AD progression, academic project |
Priya Das | Kalinga Institute of Industrial Technology | biomarker, machine learning, MRI, AD |
Priya Das | Kalinga Institute of Industrial Technology | biomarker, machine learning, MRI, AD |
Priya Dharshini | P. A. C. E. T | Adni database |
priyadharshini B | VIT | data ,Alzheimer |
PRIYAL KHAPRA | Maharaja Agrasen Institute of Technology | Machine Learning |
Priyam Pandey | University of Allahabad | dataset alzheimer |
Priyanka Baloni | Institute for Systems Biology | Metabolism, multi-omics analysis, lipidomics, metabolomics |
Priyanka G | Mepco Schlenk Engineering College | Alzheimer Disease prediction, Deep Learning, Ensemble model |
PRIYANKA GAUTAM | NIT JALANDHAR | deep learning, alzheimer |
Priyanka Goel | MIT London | ADV |
Priyanka Gorijala | Indiana university Purdue university | convolution neural network, Alzheimers |
Priyanka Gupta | Indian Institute of Science | MCI, Alzheimer's |
PRIYANKA J | Karunya Institute of Technology and Sciences | genetic |
Priyanka Kamath | UNC - Charlotte | age, education, |
Priyanka Madhwani | Concordia | Image Processing |
Priyanka Mathur | shiv nadar unversity | FMRI using GSP |
Priyanka Panigrahi | Indian Institute of Chemical Biology | image processing, support vector machine, Alzheimer's Disease, Dementia, MRI |
Priyanshu Sinha | Indiana University Purdue University Indianapolis | Alzheimer Detection, Demetia Detection, Deep Learning, AI, Screening |
Priyanshu Tanwar | Univ.ai | Data science |
PRIYANUJ DEHINGIA | ASSAM ENGINEERING COLLEGE | Alzheimer's, Deep Learning |
Prof. Dr. Hauke Schramm | University of Applied Sciences Kiel | Landmark detection, Generalized Hough Transform, Log-linear model |
Pronoy Kanti Mondal | Michigan State University | Data Integration |
Pryangka Rao Batumalay | Ryerson University | Biomarkers and Alzheimer Disease Stages |
Przemyslaw Biecek | Warsaw University of Technology | explainable artificial intelligence |
Psyche Loui | Northeastern University | reward |
Pu fan | Ruian People's Hospital | Hippocampal sclerosis; temporal lobe epilepsy; radiomics; magnetic resonance ima |
Pu Zhao | Southeast University | machine learing algorithm, medical imaging |
PUBALI CHATTERJEE | UNIVERSITY OF CALCUTTA | Image Segmentation |
Puck Reeders | Florida International University | connectivity AD mPFC HC midline thalamus |
puhua jiang | Tsinghua university | convenient |
PUI CHING WONG | Universiti Teknologi Malaysia (UTM) | Alzheimer's Disease, Deep Learning, MRI |
Puja Maskey | Kathmandu Univesity | ALzheimer's Disease, Master's degree, Computer Engineering, Kathmandu University |
puja patil | K J college of Engineering | convolution Neural Network |
Pujun Xue | Hohai University | disease prediction;risk assessment;machine learning; |
Pulak Mondal | University of Calcutta | Alzheimer’s Disease, CAD, MRI, Wavelet transformation, Classification |
PULAPARTHI PENCHALA MOHAN | Vellore Institute of technology, Chennai | Detection, Classification, Alzheimers, Deep learning. |
PUNEETH N GANESH | RAMAIAH INSTITUTE OF TECHNOLOGY | Deep Learning, Image Fusion |
Punith BV | International Institute of Information Technology Bangalore | Punith, Punith BV |
punithavalli thangavel | kongu engineering college | Alzheimer’s disease diagnosis, FDG-PET, convolutional neural networks (CNN), re |
Punitkumar Makani | University Medical Centre Groningen, The Netherlands | Alzheimer, MRI, Structural Morphometry, VBM |
Punnut chirchuvutikun | Thammasat University | Alzheimer's disease, Machine Learning, Mild Cognitive Impairment, Neuroimaging |
Punnut Chirdchuvutikun | Thammasat University | Alzheimer's disease, Machine Learning, Mild Cognitive Impairment, neuroimaging |
PURNIMA PAL | KAMLA NEHRU INSTITUTE OF TECHNOLOGY | alzheimer’s Disease, GAN |
Purushottam Kumar Pandey | Manav Rachna University | Machine Learning, Alzheimer |
Purvam Sheth | Ahmedabad University | ADNI-1, Alzheimer's disease detection |
Pushpavathi T P | Ramaiah University of Applied Sciences | Alzheimer’s disease, disease progression, multi-task learning,machine learning |
Pushpendra Kumar | Maulana Azad National Institute of Technology Bhopal-462003 | Alzheimer’s disease, MRI data, deep learning techniques |
Pushpendra sisodia | indus university | ad |
Pushtika Reesaul | University of Mauritius | Alzheimer, MRI images |
Putu Ayuwidia Ekaputri | University of Skövde | FDG PET, MRI, atrophy, hypometabolism |
Puyuan Wen | Affiliated Yantai Yuhuangding Hospital of Qingdao University | Alzheimer's disease, Cognitive impairment, pathogenesis, imaging |
QD QD | Shanghai Maritime University | research |
Qi Bingxin | Southwest University | Recognition of Alzheimer's disease based on Semi-paired probabilistic canonical |
Qi Chen | University of Science and Technology of China | deep learning |
Qi Cheung | Institute of Artificial Intelligence and Robotics | multimodal machine learning, interpretable, neural networks |
Qi Dai | Beijing University of Technology | Research needs |
Qi Ge | Sun Yat-sen University | aided diagnosis, Alzheimer's disease |
Qi Huang | Huashan Hospital | PET, SCD |
Qi Huang | Fujian Provincial People's Hospital | cognitive impairment after stroke |
qi jiankang | ysu | graduation study | treatment system for mild cognitive impairment |
Qi Lan | Harbin University of Science and Technology | medical image registration |
QI LU | Chaoyun life Intelligent Industry Research INST. | cdss |
Qi Qiu | Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine | cognitive; brain image; late life depression; progression; predict |
qi shuwen | Beijing University of Posts and Telecommunications | hippocampal segmentation |
qi Tang | Henan University of Technology | medical image registration |
Qi Wang | Arizona State University | methylation, biomarker |
qi wang | Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Univers | brain regions, DTI, MMSE/MOCA, data size |
Qi Wang | Indiana Universtiy | machine learning |
qi wu | Wenzhou University | medical image analysis and processing |
Qi Yang | Vanderbilt University | white matter segmenttation, biomarker |
Qi Yang | The Chinese University of Hong Kong | risk analysis |
QI YING | Eastern Kentucky University | deep learning, Alzheimer's disease, CNN |
QI ZENG | Icahn School of Medicine at Mount Sinai | Polygentic, PET, MRI, AD biomarker |
Qi Zhang | Shanghai University | AD |
Qi Zhang | University of New Hampshire | machine learning, prediction |
Qi Zhang | xianjiaotong | multimodal deep learning |
qi zou | qufu normal university | brain and gene detection |
Qian Chen | Nanjing Drum Tower Hospital | Subjective memory complaint, Neuroimage, Biomarker |
qian dong | chongqing university of posts and telecomunications | ADNI |
qian hu | Northeastern University | deep brain structures,childhood autism, adult depression,Alzheimer's disease |
qian kang | xidian university | disease-altering therapeutics |
Qian Li | Donghua University | medical, f-mri |
Qian Mao | Weifang Medical University | joint model;longitudinal data,survival analysis |
Qian Shiting | Xiamen University | Brain functional imaging,Classification |
Qian Wang | Icahn School of Medicine At Mount Sinai | biomarker AD |
QIAN WANG | INI.LONI | Harmonization |
qian wang | Beijing Normal University | fMRI |
qian wang | Jilin university | fMRI algorithm |
Qian Zhang | Shaanxi Normal University | zq1412142304 |
Qian Zhang | Hangzhou Dianzi University | Alzheimer’s disease |
qiang chen | Donghua University | segmentation |
qiang fang | Postdoctoral Fellow with AI/ University of Calgary | AINP |
Qiang Luo | Fudan University | multivariat analysis, prediction |
Qiang Ma | Imperial College London | deep learning; cortical surface reconstruction; |
Qiang Qiang | Fudan University | Alzheimer’s disease,Amyloid-β,tau,PET |
Qiang Wang | Xi'an Jiaotong University | Nerve regeneration and repair after brain injury |
qiang yu | Tongji University | AD |
Qiang Zhang | Jilin University | Alzheimer's disease;clinical data |
Qiang Zhou | University of Chinese Academy of Sciences | undergraduate thesis |
Qiangeng Yang | University of Florida | imaging genomics, pipeline |
Qianhui Li | University College London | machine learning; Alzheimer's disease |
Qianjing Chen | University of P | AlzData |
QianKun Yang | China Medical University | Alzheimer’s disease |
Qiankun Zuo | Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences | GCN, Brain network analysis, AD |
Qianlan Yin | smmu | risk decision; cognitive ability |
QianLin Wu | 重庆邮电大学 | image analysis |
Qianqian Du | Taiyuan University of Technology | pet image reconstruction |
Qianqian Ji | Sun Yat-Sen University | Alzheimer's Disease, Cytomegalovirus Infection |
Qianqian Li | Civil Aviation General Hospital | entorhinal cortex; fMRI |
qianqian qi | northeastern university | Alzheimer’s disease |
Qianqian Zhang | Medical School of Southeast University | genetic polymorphism,AD,insulin |
QIANSHAN WANG | Taiyuan University of Technology | comparative neuroimaging; connectivity fingerprint; diffusion mri; Neurosciences |
Qiantong Li | Nankai University | Cox model |
Qianwei Zhou | Zhejiang University of Technology | pathogenesis modeling, GPT |
Qianwen Chen | University of Illinois at Urbana Champaign | GWAS Analysis |
Qianye Yang | BeiHang University | Deep learning, Longitudinal image analysis |
Qianyi Zhan | Jiangnan University | medical image analysis |
Qianyue Wei | University College London | Alzheimer’s disease progression, differential equation modelling |
Qianyun Chen | The Chinese University of Hong Kong | deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease |
Qiao dan | Nanchang University | AD、diabetes |
Qiao Liu | Lehigh University | Alzheimer EEG |
Qiao Liu | Stanford University | Causal Inference, Genetics |
Qiao Luyao | Nanchang University Second Affiliated Hospital | cognitive imairment |
Qiao Luyao | Nanchang University Second Affiliated Hospital | cognitive impairment |
Qiao Zhang | New York University | Joint model; APOE; Random effect. |
QIAO ZHEN | Beijing tiantan hospital | PET correlation |
qiaolan jia | Central South University | use deep learning to study Alzheimer's disease and other diseases |
qiaoyan qiaoyan | nanjin university of posts and telecommunications | medical image segmentation |
Qiaoyi Yang | Clemson University | Alzheimer |
qifei zhang | Neurons Tech. | image registration |
QiHan Bao | Weifang Medical University | statistics Instrumental variable |
Qihang Yao | Georgia Institute of Technology | Structural connectome, root-cause of disease |
QIHAO QI | Hangzhou Dianzi University | artificial intelligence |
Qijie Yang | Xiangya Hospital, Central South University, Changsha, China. | AD |
Qiliang He | Georgia Institute of Technology | flicker exposure |
Qiliang Lai | Rice University | Cell specificity in AD |
qiming hu | University College Dublin | CNN,AD diagnosis, Deep learning |
QIN DAFEI | The University of Hong Kong | Alzheimer's Disease Prediction, Graph Convolutional Networks, Explainable AI |
Qin Haoxiang | Huazhong University of Science and Technology | Alzheimer's disease |
Qin Hengyu | Beijing Institute of Technology | Alzheimer's disease,algorithms to automatically,metabolites |
Qin Li | Chongqing Medical University | Alzheimer's Disease |
Qin Mubing | Peking Union Medical College Hospital | Alzhemier's Disease; Infection; |
Qin Qi | NJUPT | 668757 |
qin xin | ANHUI UNIVERSITY OF SCIENCE&TECHOLOGY | D-L;medical image fusion;PET |
Qin Yuanze | peking | MRI |
qin zhang | North West Normal Univercity | functional connectivity,structural connectivity |
qin zhang | North West Normal Univercity | functional connectivity,structural connectivity |
qin zhang | Northwest Normal University | structure network,function network,dynamic change |
qin zhao | Guangdong University Of Technology | Alzheimer’s disease,Graph convolutional networks,Semi-supervised classification |
qin zhilong | Changzhou Institute of Technology | brain image research |
qin zhou | Shanghai Jiao Tong University | incomplete multi-modal learning |
QIN-YUAN YU | Zhejiang University School of Medicine | biomarker; PET; MRI |
Qing Fang Yang | CHANG GUNG UNIVERSITY | Network, Alzheimer Diseases |
Qing Lu | University of Florida | neural networks; genetic data analysis |
QING LYU | Rensselaer polytechnic institute | Modallity synthesis, deep learning |
Qing Ma | Yale School of Public Health | imaging genetics, penalized regression |
Qing Wang | Washington University in St. Louis | diffusion MRI |
Qing Wang | MNI | Essential Tremor, MRI, Aging |
Qing Wang | Yantai University | image clinical |
Qing Wang | Sichuan University | cholinergic; Ch4; Tau-PET; Aβ-PET; plasma choline; |
Qing Wang | UCAS | wq112817 |
Qing Xiao | Southern Medical University | classification;deep learning; |
Qing Yao | The University of Hong Kong | Deep Learning |
Qing Ye | Nanjing Drum Tower Hospital | Connectivity, Brain network, Vascular pathology, Neurodegeneration |
qing yin | yunnan university | study |
Qing-Qing Tao | Dr. | Alzheimer's disease; Neuroinflammation;biomarker |
Qingchen Wang | University of Hong Kong | Tadpole; disease classification |
qingchun guo | CIBR | ASL, PET |
qingfang li | Shanxi University | Multivariate functional data;MFPCA |
Qingfeng Li | Southern Medical University | deep learning, medical image segmentation, computer-aided diagnosis |
Qinghan Xue | Shandong University | Alzheimer’s disease |
Qinghong Hu | Tianjin Normal University | deep learning, MRI, PET |
qinghua han | Yunnan university | Alzheimer's disease(AD,MCI,machine learning,deep learning,ADNI |
Qinghua Lin | Fujian University of Technology | 6237074825 |
Qinghua Zeng | Chongqing Medical University | interest,operational need |
Qinghua Zhou | University of Sydney | convolutional neural networks, Alzheimer’s disease, mild cognitive impairment |
Qinghui Liu | Oslo University Hospital | Explaination, Deep learning |
Qingmeng Chen | Tokyo Medical and Dental University | DTI, 3D-T1, Multiple sclerosis |
QINGPO WUWU | Peking University | Biomedical Image |
Qingqin Li | Janssen Research & Development, LLC | GWAS WGS |
Qingqin Li | Janssen Research & Development, LLC | EWAS, GWAS, TWAS |
QingRong Wu | Beijing Institute of Technology | the influence factor |
Qingrun Zhang | University of Calgary | Machine learning, Alzheimer’s disease, Image-derived phenotypes, Genomics data |
qingshuang feng | Beijing Normal University | machine learning, classification |
qingsong liu | Guangdong University of Technology | Image segmentation;Hippocampus |
Qingyang Liu | University of South Carolina | ADAS-11 scores, entorhinal cortex, hippocampus |
qingyi shi | Huashan Hospital | Positron emission tomography, Neuroimage, Neurodegenerative Disease. |
Qingyu Zhao | Stanford University | Variational Autoencoder, Structural T1, Classification & Regression |
Qingyuan Yang | university of manchester | Alzheimer's, artificial intelligence, gray-value image processing |
Qingze Zeng | Second Affiliated Hospital of Zhejiang University School of Medicine | Neuroiamging of Alzheimer's disease |
Qingze Zeng | Second Affiliated Hospital of Zhejiang University School of Medicine | Alzheimer's disease; hippocampus; hippocampal subfields |
qingzhi zhong | The Chinese University of Hong Kong | image analysis; functional multiple-index model; multivariate splines |
Qingzi Huo | Humboldt University of Berlin | Disease prediction |
Qinnan Gao | National Tsing Hua University | deep learning, CycleGAN |
Qinru Sun | Xi'anJiaotong University | GWAS, TWAS |
Qinsi He | Beijing Normal University | FDR; DAG structure; hierarchical hypothesis test |
Qinwen Deng | University of California, Davis | graph signal processing, classification |
Qinyi Zhou | Northwestern Polytechnical University | Bioinformation research |
Qinyi Zhou | Northwestern Polytechnical University | research |
qinzhu yang | szu | medical image analysis |
Qiong Ye | Hefei Institutes of Physical Science, Chinese Ac | quantitative multiple modality |
Qiongbin Zhu | Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang Univ | obstructive sleep apnea; nucleus basalis of Meynert; Alzheimr's continuum |
Qiongge Li | Xuanwu Hospital | resting-state; functional MRI; PET |
Qiongmin Zhang | Chongqing University of Technology | sMRI, fMRI, AD, MCI |
qiongqiong qiu | Xuanwu Hospital, Capital Medical University | Alzheimer's disease, aging, biomarker, fMRI, sleep |
Qiongyao Li | Qingdao University | 68190147yaojune. |
Qiongyue Yang | Sun Yat-Sen Memorial Hospital | dementia BMI Statins |
Qiqi Lu | Sourthern Medical University | image reconstruction, deep leanring |
Qiqi Xu | CANON MEDICAL | diagnosis AD |
Qirui Hu | Tsinghua University | Functional data Bivariate splines Imaging data |
Qiu Mingyue | Capital Normal University | Prediction, Variable selectino |
Qiu ruxia | Fudan university | MCI |
QIU shudong | Nanjing Medical University | Alzheimer's disease ,amyloid pathology |
qiu siyu | Ningbo university | qwerty123qwerty123 |
qiu xingyu | none | MRI |
Qiu Yueqi | Shanghai Jiaotong University | 000619 |
Qiude Li | Guizhou Medical University | Multi-View Classification |
Qiufeng Chen | Fujian Agriculture and Forestry University/China | functional connectivity |
Qiuhao Shu | NPU | learn |
qiuhui chen | Shanghai Jiao Tong University | Spatial-Temporal GCN; Transformer |
qiuhui chen | Shanghai Jiao Tong University | Spatial-Temporal GCN; Transformer |
Qiujie Shan | Nanjing University | structural connectivity, functional connectivity |
Qiuling Suo | University at Buffalo | disease prediction |
Qiuling Suo | University at Buffalo | disease prediction, disease correlation |
Qiuqiu Fu | Yunnan University | statistical study |
Qiushan Tao | Boston University | Alzheimer’s disease, predictive model, phospholipids, Aβ40, Aβ42, Tau |
Qiushi Bu | Academy of Mathematics and Systems Science | tensor regression, CP tensor decomposition, model averaging |
qiusong zhan | School of Electronic Information & Electrical Engineering | deep learning |
Qiuting Wen | Indiana University | diffusion, TAU, AD |
Qiuxia Wu | Beijing University of Posts and Telecommunications | Alzheimer |
Qiuxuan Li | Liaoning University | Alzheimer's image;classification;deep learning;MRI |
qiuyi zhi | SMU | learning |
Qiuying Li | Ocean University of China | deep learning; mild cognitive impairment; voxel-based morphometry |
qiwei guo | university of Macau | APOE epsilon 4 patients |
Qiwei Wan | SZU | #Wan302216 |
Qiwei Wu | University of Missouri, Columbia | Variable selection, Cox's model, Semi-parametric covariate effects |
Qixian Zhong | UC Davis | Statistical model, Alzheimer disease, Image data |
QIXIANG LIN | Emory University | Abeta, healthy aging, brain network |
qixiang zhou | Shandong University Of Traditional Chinese Medicine | MCI classification,2D CNN |
Qixuan Dong | Nanjing University | vertical federated learning,backdoor attack |
QIxue Li | Nanjing Research Institute of Electronic Technology | AD MCI HC |
QIYAN HAILI | YUNNAN UNIVERSITY | correlation analyze |
Qiyao Wei | University of Cambridge | Sequential Decision Making, Machine Learning, Deep Learning |
qiye lam | Beijing Jiaotong University | disease classification |
Qiyiwen Zhang | University of Pennsylvania - Philadelphia, PA | factor analysis |
Qiyuan Lyu | University of Manchester | AI, Alzsheimer disease, MRI |
Qiyuan Song | NEU | classification network |
QU GONG | Chongqing University | Machine learning |
Qu Long | guangzhoushidiyirenminyiyuan | 中国 |
Quan Chen | wuhan union hospital | freesurfer |
Quan Duong | Pusan National University | Preprocessing, Brain MRI, freesurfer |
quan li | Qing Dao University | Alzheimer's disease;biomarkers; Neurofilament light chain |
Quan Li | Qingdao university | Alzheimer’s Disease |
quan long | University of Calgary | Alzheimer, Machine learning, Multi-scale 'omics, brain image |
quan Tan | china university | ANDI |
quan wan quan wan | Fujian medical university | Alzheimer's disease markers |
Quan Wei | Shanghaitech University | ADNI, regression, sparse |
Quan Zhang | Nankai University | deep learning; Reconstruction |
Quang Nguyen | Hanoi University of Engineering & Technology | AD |
quanjiang liu | McGill University | brain age, AI algorithms, McGill, UESTC |
Quazi Ashikur Rahman | BRAC University | Alzheimer's Disease, Neural Networking |
Quentin Funk | Houston Methodist Research Institute | Tau, fMRI, graph theory, DTI |
Quinn McBride McBride | Indiana University | Alzheimer's Disease, Metabolomics, Bile Acids, Triglycerides, |
Quintine Sol | Radboud University | Bachelor Thesis, riskfactors, machine learning |
Qumars Behfar | Cologne University hospital | Connectome |
qun bo | Shanghai Maritime University | FC |
qun huang | wmu-1hospital | AD,MRI,ADNI |
QUN SHANG | ZIBO central hospital Shan Dong China | hippocampus striatum |
Qun Yang | Mayo Clinic | Deep learning; Genetic data; AD |
Qunxi Dong | Arizona State University | Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry |
Qunxi Dong | Beijing Institute of Technology | Alzheimer's disease, MRI, Morphometry, Biomarkers. |
Quoc Ngoc | National University | abc |
Quoc Thao Trang Pham | Taipei Medical University | hippocampus's |
Quynh Nguyen | University of Michigan Ann Arbor | epistasis, transformer, MRI |
qv lh | 无 | ds |
Qzc Jerry | XIANGTAN UNIVERSITY | MRI,AD,clinical |
QZW QZW | Chongqing University | PET;denoising;ADNI |
R Aakash Raj | VIT-AP | Deep learning,CNN |
R VIJAY | VIT University | Alzhemier, brain |
R. Matthew Hutchison | Biogen | Tau, Amyloid, functional connectivity, brain dynamics |
R.SARANYA RATHINAM | MANONMANIAM SUNDARANAR UNIVERSITY | Alzheimer's disease |
Raagini Vishnubhotla | IIT Hyderabad | Blood Plasma Proteins |
Raahil Sha | Harvard Innovation Labs | AI, Convolutional Network, 3D Machine Learning |
Rabee Zyoud | GNS Healthcare inc | RA |
Rabi Lama | university of luton | ML |
Rabiya Begam M | PSG College of Technology | Early Detection, Deep learning, Alzheimer's Disease |
Racahel Whitney | University of Michigan | Mild cognitive impairment; coronary artery disease |
rachael deardorff | Indiana University | DTI GWAS |
Rachael Lam | University of Hong Kong | fMRI and VBM analysis |
Rachana Tank | University of California San Francisco | progression, biomarkers |
Rachel Bernier | UC San Diego | sex differences; Alzheimer's disease; tau |
Rachel Bernier | UC San Diego | sex differences; Alzheimer's disease; tau |
Rachel Buckley | Massachusetts General Hospital/Harvard Medical School | subjective cognitive decline, amyloid, neurodenegeration, sensitivity |
Rachel Crockett | Stanford University | alzheimer's disease tractography |
Rachel Hunt | University of Limerick | Survival Analysis, Functional Data Analysis, |
Rachel Karasek | Binghamton University | Metformin, thiamine, Alzheimer's Disease, |
rachel melamed | University of Massachusetts Lowell | gwas, multimodal analysis, regulation |
Rachel Mis | Temple University | breast cancer, cognitive decline, Alzheimer's disease |
Rachel Naughton | University College Dublin | Research, Education, Alzheimer,staging, MRI |
Rachel Nosheny | UCSF | dementia, amyloid, subjective decline, amyloid, tau, neurodegeneration |
Rachel Schindler | Schindler Neuroscience Consulting, LLC | MRI, Sequences, Normative |
Rachel Tan | University of Sydney | memory, longitudinal |
Rachel Thayer | University of Colorado Colorado Springs | alcohol, smoking, DTI, white matter |
Rachel Tilsen | University of Wisconsin - Madison | Alzheimer's Disease, Diversity |
rachid Alhyane | FSC Ben M'sik | Deep Neural Network, Detection Alzheimer’s Disease |
Rachid Fahmi | Siemens Healthcare | AD, PET, FDG, MRI, Amyloid |
Rachit Kumar | Perelman School of Medicine | data analysis, graph machine learning, graph neural networks, mci, ad |
Rachneet Kaur | University of Illinois at Urbana Champaign | Research, Clinical, Image Analysis |
RADHA GOPIKA A | ANNA UNIVERSITY | CONVOLUTIONAL NEURAL NETWORK |
Radha Sai Rupesh Chintamanibatla Venkata | Northeastern University | Data Science, Data Mining, Artificial Intelligence, Image Processing |
Radhakrishna Chamakuri | GITAM | Alzheimer’s Disease, MRI, Text, 2D, 3D |
Radhika Shivhare | NBRC | test |
Radin Hamidi Rad | Ryerson University | AI, Machine Vision |
Radman Dhrubo | Bangladesh University of Professionals | Machine Learning, SVM, KNN, NN. |
Radwa taher | faculty of science | prediction , machine learning , Arterial intelligence |
Raed Alazaidah | Universiti Utara Malaysia | Longitudinal data |
Raehash Shah | Carnegie Mellon University | RNA-seq, Classification, |
Rael Memnon | MD Anderson | Finite element models, brain shift |
Raelynn de la Cruz | Cleveland Clinic Nevada | dementia, Alzheimer's, hippocampus, aggression |
Rafael Cabeza Laguna | Universidad Pública de Navarra | Deep learning models |
Rafael Camarero Rodríguez | Universidad Francisco de Vitoria | Artificial intelligence, final degree's proyect |
Rafael Enrique Velasquez Rojas | Universidad de los Andes | Rafaelito0112 |
Rafael Garcia-Dias | KCL | sMRI, Machine Learning |
Rafael Gonzales-Lagos | WALDEN UNIVERSITY | ADRD, T2DM, TBI, PTSD, housing, education, employment |
Rafael Ortiz-Ramón | Universidad Internacional de Valencia VIU | radiomics; texture analysis; mri |
Rafael Simões | b2Quant | Quantitative Image analysis |
Rafael Valentin | Elysium Health | External Validation dataset |
Rafael Volkmer | Fundação Escola Técnica Liberato Salzano Vieira da Cunha | Alzheimer, AI |
Rafael Wampfler | ETH Zurich | Deep Learning, MRI |
Rafaela Ribeiro | University of Minho - Life and Health Sciences Research Institute (ICVS) | Alzheimer’s disease, hippocampus, atrophy, biomarkers. |
Rafaella Doki Silva de Souza | PUCRS | 3JO11 |
RAFEEQ AHMED | KL University | Alzheimer disease, ADNI dataset |
Raffaele Di Natale | Raffaele Di Natale | FreeSurfer, MCI, AD |
Rafi Haque | Emory University | proteomics, cognitive decline |
Rafsanjany Kushol | University of Alberta | Deep Learning, GANs, image synthesis |
raga vamsi | Annamalai University | CNN |
Ragavamsi Davuluri | Gudlavalleru Engineering College | Alzheimer |
Raghad Tabaza | Loma Linda Univeristy | cognitive reserve, CR, executive functioning, dementia, alzheimer's disease, AD |
Raghav Mehta | McGill University | Bayesian Deep Learning |
Raghav Mehta | McGill University | Deep Learning, ADAS13, MMSE |
Raghav Prasad | Birla Institute of Technology and Science, Pilani | Alzheimer's, graph, network |
Raghav Sharma | Chitkara University | The aim to utlize image datasets from the Alzheimer's Disease Neuroimaging Initi |
Raghav Singhal | New York University | Deep Learning, BrainAGE, |
Raghavendra G | JSS SCIENCE AND TECHNOLOGY UNIVERSITY | AD Detection, Neutral pattern, Machine learning |
Raghuram Srinivasan | Ramaiah Institute of Technology | Machine Learning, Deep Learning, Assistive Technologies |
Raghuvamsi Palur | NUS | MRI |
Ragunathan Mariappan | National Institute of Singapore | Alzheimer |
rahele kafieh | isfahan university of medical sciences | fmri, classification, graph |
Rahib Abiyev | Near East University | research |
Rahil Sachak-Patwa | University of Oxford | Disease progression model, mathematical model, differential equation model, ADAS |
rahim pathan | Brainer healthtec | hippocampus volumetry |
rahma samy | computer and artifical intelligence | rahma |
Rahman Maqsood | University of Management And Technology | I really need the dataset |
Rahmat Beheshti | University of Delaware | Multimodal data analysis, Synthetic data generation |
Rahul Biswas | University of Washington, Seattle | Functional connectivity, Alzheimer's disease, Dynamic Causal Model |
Rahul Dubey | Madhav Institute of Technology & Science, Gwalior | Alzheimer, MRI |
RAHUL KUMAR | Indian Institute of Technology Roorkee | Alzheimer’s disease |
rahul kumar | National Institute of technology, Surathkal | Alzheimer Disease Convolutional Autoencoders |
Rahul Kumar | Dyp mumbai | Emci cn ad lmci mci |
Rahul Patel | University of Guelph | Alzheimer's Disease, Uncal Apex, Longitudinal |
RAHUL RAICHUR | SDM COLLEGE OF ENGINEERING AND TECHNOLOGY | ADNI DATA SET, MACHINE LEARNING , ALGORITHMS, ALZHEIMER'S DISEASE DETECTION |
Rahul Raman | Indian Institute of Information Technology | Classification, Prediction, Deep Learning |
Rahul Sarkar | Calcutta University | Alzheimer's disease, Machine learning, MRI, PET, Feature extraction, AUC |
RAHUL SHARMA | NIT SILCHAR | MRI neuropsychic |
RAHUL shukla | IIT Ropar | Deep learning |
Rahul Singh | nNIT BHOPAL | TUMOR CLASSIFICATION |
RAHUL SINGH | UNIVERSITY OF MANCHESTER | Brain disease classification, alzheimer disease |
Rahul Verma | Indian Institute of Technology Indore | mtDNA, Alzheimer's Disease, Complex Networks |
Rahul Wasnik | University Of Sheffield | age |
Rai-Hua Lai | National Health Research Institutes | Alzheimer’s disease, MCI, cholesterol, LDL, HDL, CRP, blood pressure |
Raid Khalil | UTS | classification and prediction |
Raima Adhikary | Jahangirnagar University | Alzheimer's, Hippocampus, atrophy, MRI |
Raima Adhikary | Jahangirnagar University | Alzheimer's disease, Ensemble Net, sMRI |
Raimundo Claudio da Silva Vasconcelos | Instituto Federal de Educação, Ciência e Tecnologia de Brasília | image processing; deep learning; Alzheimer desease |
Raimundo Guimaraes Saraiva Junior | Federal Institute of Education, Science and Technology of Ceará (IFCE) | Machine Learning Alzheimer Disease Diagnose |
Raiyan Ali | Jamia Millia Islamia | Machine learning, neurodegenerative, |
Raizza Suyao | Mapua Institute of Technology | Artificial Intelligence, Machine Learning, Alzheimer's Disease |
Raizza Suyao | Mapúa University | Artificial Intelligence and Machine Learning |
Raja Farrukh Ali | Kansas State University | reinforcement learning, reward discounting |
Rajan Kashyap | NIMHANS, Bangalore, India | Brain-age, fMRI, DTI, MRI |
Rajarshi Das | National Institute of Technology (NIT) Silchar | Alzheimer's Disease |
Rajarshi Guhaniyogi | Texas A & M University | Bayesian statistics; multi-modal imaging |
Rajasimhan Rajagovindan | Vigil Neuro | TREM2, biomarkers |
Rajasree RS | D.Y.Patil College of Engineering | MRI,Alzheimers,brain,neuro images |
Rajat Baldawa | WPI | Alzheimer's, Cognitive Performance Data, Neural Network, Linear Regression |
Rajat Vashistha | The University of Queensland | Image reconstruction, PET, machine learning |
Rajat Vig | Thapar Institute of Engineering and Technology | Snp Genotyping |
Rajathilagam B | Amrita Vishwa Vidyapeetham | Machine learning, probabilistic, artificial intelligence |
Rajeev SK | Kalasalingam university | ALZHEIMERS,fMRI |
Rajesh Kumar | MNIT Jaipur | MRI, Machine learning, Spike neurons, Alzheimer |
rajesh ranganathan | Hong Kong University | Haplotype, BIN1, AD vs Control |
Rajeswari Rajendran | Bharathiar University | Alzheimer's disease, diagnosis |
Rajib Sarkar | Derozio Memorial College | Alzheimer’s disease, Non-linear method, MRI data |
Rajikha Raja | Georgia State University | Multi-modal fusion, Independent component analysis, Tractography, Connectivity |
RAJINDER KUMAR | rimt university | will be download |
Rajinikanth V | St. Joseph's College of Engineering | Deep learning, Classification, KNN, |
Rajni Maurya | MITS | medical image fusion |
RAJU B | Svuce | Image processing |
Rajveer lalawat | IIITDM JABALPUR | schizopherenia ;MRI ;EEG |
RAJYALAKSHMI SAREDDY | RVRJCCE | Alzheimer’s disease,heirarchical analysis,classification |
rakesh mishra | NITTTR | Alzhimer's disese |
rakhi ashok | IGNOU | ML |
Rakhi k m | Cochin University of Science and Technology | Alzheimer's Prediction using image processing |
Rakhi sharma | KIET | fmri |
Rakhi Sharma | IIT,Delhi | MRI,fMRI,DTI |
Rakib Hossain Rifat | BRAC University | dementia,Deep Learning |
Rakshita parab | SWANSEA UNIVERSITY | self-practice |
Rakshitha BS | christ faculty of engineering | Machine Learning , Deep Learning, Classification |
Rakshitha s | SSN College of Engineering | Early detection of AD, Machine learning, MCI, brain MRIs, analysis |
Ram Bishnoi | Medical College of Georgia | dementia, latent variables, neuroimaging |
Ram Bishnoi | University of South Florida | Alzheimer's disease, Neuropsychiatric Symptoms |
ram kumar | anna university | cnn |
Ram Kumar | Kalasalingam Academy of Research and Education | Alzheimer's disease brain image |
Ramachandran Sekanipuram Srikanthan | North Carolina State University | NCSU, Quantum, Early detection Alzheimers,iGEM, MIT Hacking Medicine |
Ramadhan Sanyoto | Sepuluh Nopember Institute of Technology | Hippocampus, Segmentation |
Ramakrishnan Murugan | isclor software solution | Alzhemier Prediction |
raman kumar | kamla nehru institute of technology | RAMAN |
Raman Pall | National Research Council Canada | missing |
Ramani Priya Maremanda | M V S R Engineering College | AD, MCI, CN, Convolutional Neural Netwoks |
ramani r | retech solution | alzheimer |
ramasubbu venkatesh | self | AI, machine learning, nlp, deep learning, knowledge graphs |
Ramchandra Rimal | Middle Tennessee State University | Supervised Learning, LSTM, CNN, GRU, Statistical Inference,fMRI |
Ramesh Lama | Chosun Univerisity | demential, connectome, network analysis |
Ramesh Rajendran | Bharathiyaar University | radiomics |
Ramesh Ravindran | GGRM Innovation Pvt Ltd. | Content Based Image Retrieval |
Ramesh Subramanian | Annamalai University | AD, MCI |
Ramin Hashimzade | Private Person | Data Science |
Ramin Nourizadeh | University od Zanjan, Iran | ADNI Dataset |
ramin rasi | Bogazici biomedical engineering | PET Images, AI |
ramin rasi | Bogazici biomedical engineering | CADs, AI |
Raminder Kaur | UCL | Neuroinflammation, T2-weighted |
Ramiro Aguilar Ordaz | National Polytechnic Institute | Alzheimer, convolutional neural network, digital image processing |
Ramiro Michelon | UFRGS | data analysis, dementia |
RAMNIVAS SHARMA | MNIT JAIPUR | Graph-CNN for Alzheimer's Disease Detection. |
Ramon Casanova | Wake Forest University School of Medicine | Machine Learning, Regularization |
Ramon Viñas | University of Cambridge | data imputation, machine learning |
Ramona Niederhausern | Veil Research | Mental Health |
Ramu Battu | CTS | Alzheimers |
ramudu kama | kakatiya Institute of technology | Hippocampus |
Ramy Hussein | Stanford University | Dementia, MRI, PET, CSF, Blood Biomarkers, |
Ramya M | Jerusalem college of Engineering | Neurodegenaritive Disease |
Ramya Pothala | GMR institute of Technology | machine learning, deep learning, Alzheimer's |
Ramya Rajendra | Illinois Institute of Technology | Alzheimers, Machine learning, detection |
Ramya shree | PACET | Alzheimer's disease |
Ramyadevi S | Madras Institute Of Technology | Dataset |
Ran Junling | Chongqing University of Posts and Telecommunications | neuropsychosomatic diseases ,attention network |
Ran Liu | Georgia Institute of Technology | rocky321321 |
Ran Matalon | HIT | nnn |
Ran Pang | medical college of Penn State University | DTI, fMRI, QSM, ASL |
Ran Pang | medical college of Penn State University | DTI, fMRI, QSM, ASL, HFE gene |
Ran Yan | Ruijin Hospital, Shanghai Jiao Tong University School of Medicine | sleep disturbance, cognitive decline |
Ran Zhang | Xuzhou Medical University | data mining; EEG signal; intelligent early diagnosis |
Rana Aldisi | Uniklinikum Bonn | genetic-risk, PRS, associations, predictions |
Rana Hossam Elden | Helwan University | Alzheimer’s disease, classification |
Rana Jahanzeb Kaleem | NUST College of Electrical & Mechanical Engineering | Alzheimer |
Randa Almaktoum | Massachusetts General Hospital | WM/GM Ratio AD |
randa khaled | PNU | data |
Randall Benson | Center for Neurological Studies | NFL, concussion, mTBI, dementia, AD |
Randy Lan | Guizhou University | studying; research |
Randy McIntosh | Baycrest | structural connectivity, functional connectivity, brain network dynamics |
raneem sanuri | german jordanian university | alzheimer's, classification |
Rani Basna | University of Gothenburg, Institute of Medicine | Alzheimer's disease, mild cognitive impairment, longitudinal, |
Rani Shetty | SDMCET | deep learning |
Rania nihal | sciences faculty | fmri |
Ranjan Piyush | Independent | Tractography, White matter tracts |
Ranjeet Jha | IIT Mandi | Fiber Tracts |
Ranjit Panigrahi | Sikkim Manipal Institute of Technology | Neurodegenerative disease, alzheimer's disease |
Ranjithkumar R | P A College of Engineering and Technology | CNN, DNN |
Ranran Tian | Mudanjiang Normal University | Study,artificial intelligence,Bayesian classification |
Ranveer Singh | individual | Stroke dataset |
Ranvijay Singh | Motilal Nehru National Institute of Technology Allahabad | Alzheimer's disease, Machine Learning |
Rao Song | The Second Affiliated Hospital of Chongqing Medical University | radiomics,automatic machine learning,Alzheimer's disease |
Raphael Kong | Shanghaijiaotong University | AD, MRI, MRE |
Raphael Sivera | Inria | Longitudinal, Registration, T1 MRI, Deformations fields, statistical analysis |
Raphael Vallat | University of California - Berkeley | structural MRI, deep learning |
Raquel Andrea Calderon Gallardo | Universidad Privada del Valle | Alzheimer, Artificial Intelligence, Software |
Raquel Espiritu | Cal poly pomona | Alzheirmer early detection model |
Raquel Gardner | San Francisco, VA Medical Center and University of California, San Francisco | amyloid, traumatic brain injury, post-traumatic stress disorder |
Raquel Molina | University of Granada | degree, project, diagnosis, deep learning, scientific research |
Raquel Puerta | ACE Alzheimer Center | GWAS,endophenotypes,AB42, p-tau and t-tau |
Raquib-ul Alam | University of Sydney | longitudinal,mri,mri,pet,genetic |
Rasha Massoud | Damascus University | Machine learning, Alzheimer's disease prediction |
Rasheed Abid | Illinois Institute of Technology | Quantitative Susceptibility Mapping |
Rashell Mezquia | Regis College | AD |
Rashi Agarwal | CSJM University | cognitive impairment, fMRI, sMRI |
Rashid Deane | University of Rochester | Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula |
Rashmi Lad | Symbiosis International university | fMRI ,MRI ,brain disorder |
Rashmi Phatak | MIT,Pune | Early detection, risk , next stage |
Rashmi Somshekhar | Karnataka State Akkmahadevi Women's University,Vijayapura | Alzheimer Disease,Control Normal,MRI,MCI |
Rashni Biswas | Amrita Vishwa Vidyapeetham | Rashni |
rasul Shamohamadi | Semnan medical physics | research |
Rathan Jayanath | IIITDM Kancheepuram | Early diagnosis, image processing, pattern recognition |
Ratnesh Kumar | Argo Ai | Kaggle |
Rauf Ahmad | Uppsala University, Sweden | High-dimensions; Multivariate statistics; Linear models, Dependence measures |
Raúl González Gómez | Center for Social and Cognitive Neuroscience | neurodegenerative desease, machine learning |
Raul Mendoza Quiñones | Cuban Center for Neurosciences | Alzheirmer, biomarkers, follow-up, EEG/ERP data |
Raunak Daga | Harvard College | machine learning |
RAVEENDRA PILLI | NATIONAL INSTITUTE OF TECHNOLOGY | MRI IMAGES,ALZHEIMER'S |
Ravi HASSANALY | Paris Brain institute | Deep learning, Computer Aided Diagnosis, PET |
Ravi Jasuja | FPT LLC | hormone, alzheimer's, machine learning |
Ravi Kumar | Christ (Deemed to be University) | ADNI 3D Images Datasets (MRI and PET) |
ravi kumar odela | electrogenics private limited | deep learning, machine lerning |
Ravi Sharma | Private | machine learning progression tool; Alzheimer's; basis; progression |
RAVI SINGH | IIT BHU VARANASI | Alzheimer's disease |
RAVI SINGH | IIT BHU | Artificial intelligence |
RAVI TARLADA | MVGR | NA |
Ravidu Silva | University of Westminster | Deeplearning ML datascience |
Ravikant Singh | Essex university | research |
RaviKumar J | Genesys | Data Science |
raviteja Chukkapalli | New York University | Missing data imputation |
Rawan Alkady | misr international university | Alzheimer's disease |
Rawan Tarawneh | Cleveland Clinic | neurogranin, brain atrophy, cognitive decline, preclinical AD |
Rawan Tarawneh | The University of New Mexico | CSF |
rawda mohammed | Helwan university | Alzheimer disease |
Ray Fu | BIT | data analysis |
Ray Morrison | University of Colorado Denver | Alzheimer's disease |
Rayees Dar | Islamic University of Science and Technology | CNN, Deep Learning, Artificial Intelligence, Medical Imaging |
Raymond Grimaila | GlaxoSmithKline | genetic vcf |
Raymond Ho | ouhk | machine learning, empirical mode decomposition |
raymond LEE | shandong university | AD |
Raymond Salvador | FIDMAG Germanes Hospitalàries Research Foundation | brain regulatory genes, postsynaptic genes, brain connectivity, machine learning |
Raymond Wong | Texas A&M University | tensor regression |
Razan Baltaji | UIUC | machine learning, equivariant networks |
Razaul Karim | Mawlana Bhashani Science and Technology University | Alzeimer disease, deep learning |
razieh bakhshandeh | Iran University of medical science | NONE |
RAZIYA BEGUM | KLU UNIVERSITY | DEEP LEARNING ,MRI DATA |
Razvan Valentin Marinescu | University College London | disease progresison Alzheimer's staging |
Reagan Dugan | Pennington Biomedical Research Center | machine learning, compartment modeling, multi shell, HARDI |
Rebecca DiGati | American College of Radiology CRI | Flortaucipir, AV1451, Tau, Florbetapir, AV45, PET, Amyloid |
Rebecca Horst | Western University | DTI, biomarker, subjective cognitive impairment, conversion |
Rebecca Lepping | University of Kansas Medical Center | MRI brain atlas |
Rebecca Patient | Liverpool John Moores University | Cognitive Impairment, Virtual Reality, Electrodermal Activity, Machine Learning |
Rebecca Ray | Alkahest | AD MRI Healthy Control MRI |
Rebecca Roth | Medical University of South Carolina | Epilepsy |
Rebecca Wang | Alector, LLC | Lipidomics, Neurodgeneration |
Rebecca Weiner | Vanderbilt University | sTREM2; biomarker; AD |
Rebecca Williams | University of Oxford | Oxford Brain & Health Centre; Comparison |
Rebecca Williams | Charles Darwin University | MRI, sleep, cerebral blood flow, choroid plexus, aging |
Rebecca Zhang | Nangjing University of Science And Technology | deep learning |
Reda Baka | Université des Sciences et de la Technologie d'Oran - Algerie | convolutional neural network, master's degree, AI, MRI, classification |
Reda Chenna | ensias | graph neural networks |
REEM ABDELAZIZ | cairo university | research |
reem ahmed | KAU | Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Ear |
Reem Bin Hezam | Dublin City University | dementia, modifiable risk factors |
Reem Jamal | University of Bahrain | Machine learning, detection, Alzheimer |
Reema Ganotra | YMCA University of Science and Technology | Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis |
Reema Lalit | NIT | Machine Learning |
reena sharma | VGU, Jaipur | CNN improvement, Neural Network, Python coding |
Reeree Lee | Chung-Ang University Hospital | FDG PET, stroke, dementia |
Reesa Keskar | Texas A&M University | Undergraduate research; Bayesian analysis; Alzheimer's; Neuroscience; Statistics |
Reet Tharwani | The Hill School | Hill School |
Reeya Varghese | Indian Institute of Science Bangalore | computer vision, deep learning, Prediction of Alzheimer's, Image segmentation |
Refsi Cahya | Brawijaya | brawijaya |
Reggie Habas | Lambda School | Blank |
Regina González Alcocer | Universidad Anahuac Queretaro | PET scan, Alzheimer disease, machine learning, medical imaging |
Regina Lisinker | California Polytechnic State University San Luis Obispo | alzheimers, gerontology, survival analysis |
Rehab Yousef | King Saud University | Rehab |
Reham Mostafa | Mansoura University | Computer science, Deep learning, feature reduction |
Reham shraf | Ainshams University | Eye Tracking, Retina, Gaze data |
Rehan Afzal | University of Newcastle | cnn |
Rehma Razzak | Kennesaw State University | Alzheimers, Emotion Recognition, Machine Learning |
Rehman Tariq | University of Calgary | Generative Adversarial Networks, Alzheimer's lesions, Missing sequences, |
Reihane Zakeri | Ferdowsi university | MCI-AD |
Reihaneh Ahmadi | Forschungszentrum Jülich | PET, sleep, longitudinal, Alzheimer's disease |
Reihaneh Teimouri | concordia university | ventricle segmentation |
Reiko Miyamoto | Tokyo Metropolitan University | structural, functional, SCI |
Reina Ayde | Basel university | Deep learning image reconstruction |
Reinaldo Espinel | Universidad Distrital | IA,EA |
Rejaul Karim | Harvard U | MRI, Alzheimer's, Classification, Spatial, High Diemnsional |
Rejusha T R | GEC THRISSUR | GAN |
Rekha Gangula | KITS, warangal | Alzheimer's disease analysis, prediction, Data analysis |
Rekia Zemmouri | Saad Dahleb | detection,hippocampal,alzheimer |
Rema Terada | Jikei University School of Medicine | Alzheimer’s disease, hearing loss, AD related biomarkers |
REN Chenyu | East China University of Science and Technology | Causal Machine Learning, Early Alzheimer’s Disease Detection |
Ren Haiyu Ren | 哈尔滨工程大学 | 阿尔兹海默病 |
Ren Haiyu Ren | 哈尔滨工程大学 | 阿尔兹海默病 |
ren jian | central sourth university | learning |
Ren Jiaqiao | Southern Medical University | student research |
ren le | 厦门大学信息学院 | ANDI |
Ren Wang | Dalian Medical UNIVERSITY | ww142857 |
Ren Wei | Beijing Tiantan Hospital | brain aging, deep learning |
Ren xiaomei | Sichuan University | ICA, structural connectivity, functional connectivity |
Ren Yuan | University of Macau | fMRI CSF Alzheimer |
Renad Alzahrani | King Abdulaziz University | Machine learning- algorithms |
renad hussain | King abdulaziz university | RENAD |
Renata Souza Poubel de Paula | Universidade Federal de Minas Gerais | Alzheimer. Biomarcadores. Hipometabolismo. Neuroimagem |
Renato Hermoza Aragones | The University of Adelaide | Deep learning, reinforcement learning, survival prediction, biomarkers |
Renato Monteiro-Junior | Universidade Estadual de Montes Claros | MCI, Azheimer's disease |
Renaud Lopes | Lille University Hospital | Age, Machine Learning, MRI |
René Spiegel | Memory Clinic | MCI trajectories; prediction of dementia; cognitive decline |
Rene Andrade Rey | University of Alcala de Henares | vbm, alzheimer |
René Eduardo Rodíguez | BUAP | MRI, CNN, Alzheimer |
Rene Salih | University of Sheffield | Alzheimer's Disease |
Renee Howell | Siemens Healthineers | clinical study, MRI, PET, cgnitive assessment |
Renee Kolentine | Cambridge International Foundation School | Alzheimer's disease, environmental factors, correlation |
Renith G | SRM University | Alzheimer Disease |
Renjie Hu | University of Houston | machine learning; incomplete data; multimodal |
Renjie Hu | University of Houston | machine learning; incomplete data; multimodal |
Renjie Yao | Georgia Institute of Technology | Alzheimer’s Disease, Brain MR Images |
Renjie Zhuo | UESTC | MRI |
Renjith CV | JSPM RSCOE | deep learning |
RENJU V R | IIITMK | MCI, ALZHEIMER'S, COGNITIVE |
renpeng li | tiantan hospital | neurosurgery AD PD brain |
Renping Yu | Zhengzhou University | idetification, network modeling, structured sparse construction |
Renske de Boer | Quantib B.V. | evaluation, segmentation |
Renzhou Ge | Saarland University | AD prediction, Deep learning |
Reshawn Ramjattan | University of the West Indies | machine learning, gwas, optimization, computer vision |
RESHMA SAJU | TKM COLLEGE OF ENGINEERING,KOLLAM | fMRI, PET, Feature Fusion, Multi-modal data |
Retta El Sayed | Emory University | Medical imaging processing |
Reuben Sodhi | University of Leeds | Inverse Problems, Neural Networks, Medical Imaging |
Revathi A | SRM Institute of Science and Technology | machine learning |
Revathi Kadari | Abbvie | database, consortium data |
Rex Anto | Vins | - |
reyhaneh rostamian | University of Tehran | Brain MRI |
Reza Akbari Movahed | Tarbiat Modares University | Alzheimer,Machine Learning, Deep Learning, MRI |
Reza Boostani | Shiraz University | Classification, deep neural network, Alzheimer, MCI |
Reza Ebrahimian Baboukani | Kavli Institute for Systems Neuroscience | ADNI data |
Reza Karamooz | Amirkabir university | alzheimer disease |
reza moradi | HUT | Raz@5040 |
Reza Mosaddeghi Heris | Tabriz university of medical sciences | Alzheimer- Biomarkers- Genetics- MRI |
Reza Shirkavand | Sharif University of Technology | AD - Biomarkers - DWM - PVWM - GCA - Neural |
Reza Shirkavand | University of Pittsburgh | Deep Learning, Multi-Modal Learning |
rezvan lotfipoor | sanati university of hamedan | alzheimer,MRI,machine learning,Deep learning |
Rezwan Derakshan | urmia university | data mining |
Rhiannon Rivas | California State University, San Bernardino | subjective cognitive complaint, mild cognitive impairment |
Rhythm Garg | Stanford University | computer vision, neuroimaging |
Riaan Zoetmulder | UMC/UVA | Transfer learning, machine learning, Deep learning |
Ricardo Andres Toscano Villamizar | UNAB | fRMI, lateralization index, program |
RICARDO ANTONIO MENDOZA LEON | Universidad de los Andes | Medical Content-Based Image Retrieval, Neurodegenerative pathologies, |
Ricardo Bigolin Lanfredi | University of Utah | Visual dataset explanation, regression, adversarial training |
Ricardo Cerri | Federal University of Sao Carlos | machine learning, SNPs, Alzheimer Disease |
Ricardo Ferrari | Federal University of São Carlos | Alzheimer, Biomarkers, Image Processing |
Ricardo Loucao | University Hospital Cologne | Structural connectivity, Tractography |
Ricardo Ortega | Universidad Autónoma de Manizales | Alzheimer, Modelo Computacional, Python |
RICARDO SOTO MURA | UNIVERSIDAD DE VALPARAISO | voice analysis, detection, cognitive. |
Ricardo Trujillo | University of California Merced | Machine Learning, Alzheimer's Disease, Detection, Segmentation |
Riccardo Giubilei | University of Rome La Sapienza | statistical learning, decision trees, classification |
Riccardo Manca | University of Sheffield | cognition, neuropsychiatric, MRI, CSF |
Riccardo Raciti | Università di Catania | Master's thesis, medical imaging |
Riccardo Santarelli | UNIVPM | Machine learing classification |
Riccardo Taiello | Inria Sophia Antipolis - Eurecom | Privacy-preserving technique for medical imaging |
Richa Batra | Weill Cornell Medicine | PRS, Metabolomics |
Richa Singh | Vellore Institute of Technology, Chennai | artificial intelligence, continual few-shot learning, medical imaging |
Richard Bethlehem | University of Cambridge | statistical learning, neuroimaging |
Richard Everson | University of Exeter | Dementia, Descriptive / exploratory, Clinicopathological / diagnostic accuracy |
Richard Fan | Stanford | migraine, DL, ML, MRI, radiomics |
Richard Gerkin | Arizona State University | teaching |
Richard Gibbs | Baylor College of Medicine | Structural variants; ADSP |
Richard Gorniak | Thomas Jefferson University | MRI, convolutional neural networks, medial temporal sclerosis |
Richard Jones | Brown University | Alzheimer's disease, biomarker, causal inference |
Richard Joules | IXICO | Hippocampus volumetrics MRI segmentation neural networks |
Richard Kline | Columbia University Medical Center (ret) | Random Forest, Plasma Biomarkers, MRI |
Richard Kline | Columbia University Medical Center (ret) | Random Forest, Plasma Biomarkers, MRI |
Richard Margolin | CNS Research Solutions LLC | amyloid, tau, PET, CSF, sample size |
Richard Masson | University of Cape Town | machine learning, alzheimers, neuroscience |
Richard Muia | University of Sunderland | Image Classification, Transfer Learning, Augmentation |
Richard Myers | HudsonAlpha Institute for Biotechnology | early onset alzheimer, frontotemporal dementia |
Richard Parker | IXICO Plc | T1, dMRI, machine learning, multi-atlas registration |
Richard Phenis, Psy.D. | Baylor Scott and White Health | Neuropsychology, cognition, dementia |
Richard Phouasalith | Johns Hopkins University | Kaggle |
Richard Phouasalith | Johns Hopkins University | Genentech Kaggle |
Richard Pither | Cytox Ltd | Polygenic risk score analysis, SNP, risk stratification, amyloid, PET |
Richard Sherva | Boston University School of Medicine | GWAS, dementia, African Americans, stratified |
Richard Smith | University of London, Goldsmiths College | Deep Learning, Artificial Neural Networks |
Richard Tran | Virginia Tech | Machine Learning, Deep Learning, research, medical imaging diagnosis |
Richard Watts | Yale University | Diffusion MRI, Restriction Spectrum Imaging |
Richard Wilson | University of York | complex networks, bayesian networks, structural pattern recognition |
Richu Jin | Southern University of Science and Technology | AD, diagnositc model, medical image analysis |
Rick Tearle | Alkahest Inc | Method development |
Rick van Veen | University of Groningen | Machine Learning, Neurodegenerative Disease Diagnosis |
Rickard Karlsson | Chalmers University of Technology | machine learning, side information |
Ricky Ng | Shanghai Jiao Tong University | Graph neural network |
Ricky Sobrevinas | Franklin & Marshall College | Statistical Learning |
Rida BAYI | Cadi Ayyad University | deep learning, segmentation |
Rida Patel | Heriot Watt University - Dubai Campus | Machine Learning,Alzheimer Disease,Neuroimaging,MRI |
Rida Saeed | Johns Hopkins | morphometry |
Riddhi Gupta | AAFT | alzheimers disease ,machine learning, deep learning, transfer learning |
Riddhik Basu | North Carolina State University | Images , Image Analysis |
rihab kaci | farhat abbas University setif algeria | GAN,CNN,MRI,fMRI,classification. |
Riham Alhujairy | lebanese international university | PET images for Alzheimer's disease patients and normal ones |
Rija Khizar | University of engineering and technology Lahore | MRI scan |
Rikin Basu | Vellore Institute of Technology , India | deep learning , image processing , Alzheimer’s, diagnostics |
Rikki Skoczen | Cornell University | Alzheimer's Disease, Network Control Theory, Entropy, Brain Activity Dynamics |
Riley Pate | Saint Xavier | PET |
Rimmon Bhosale | IIT Palakkad | CNN, deep learning, medical images |
Rimsha Kaokab | COMSATS | Alzheimer's, MRI, detection, Early diagnosis |
Rimsha Mariam | DSATM | project |
Rina Haldar | VIT University | CNN, paper |
Rinako Iseki | Juntendo University | WMH(white matter hyperintensities) |
Rinat Mukhometzianov | University of Waterloo | mri, predictive modelling, machine learning |
Ring Fang | Shanxi Medical University | high-dimensional mediation analysis |
Rini PL | SSN College of Engineering | image |
Risal Shahriar Shefin | Rajshahi University of Engineering & Technology | Alzheimer's Disease Detection, Access to ADNI Data |
Rishab Gupta | SUNY Downstate Medical Center | Alzheimer Disease, Outcome, ethnicity |
Rishab Khincha | BITS Goa | prediction, deep learning, alzheimers |
Rishabh . | Gautam Buddha University | AD, MCI, DL, Python, AI models |
Rishabh Gaur | Netaji subhash university of technology | machine learning, bioinformatics |
Rishabh Jain | Thapar Institute of Engineering and Technology | Dementia, Brain MRI, Machine Learning, Neural Network, Alzheimer's Disease |
Rishabh Mishra | University of Iceland | GWAS, Survival Analysis Statistical method, Simulation |
Rishabh Raj | IIT Delhi | Mtech Project |
Rishabh Rajpurohit | Jaypee Institute of Information Technology, Noida | Alzheimer's Prediction Machine Learning Cognitive Impairment |
Rishat Zagidullin | Skoltech | Conditional models, Alzheimer's disease |
Rishav Talukdar | Manipal University Jaipur | Alzheimers |
Rishi Dey Chowdhury | Indian Statistical Institute | Brain Imaging Genomics, Machine Learning, Genomic Association |
Rishi Porecha | Illumina | Methylation |
Rishik Kumar | Vellore Institute of Technology | Deep Learning |
Rishikesh Pashte | Indian Institute of Information Technology, Pune | Deep Learning, CNN, Alzheimer, Parkinson |
Rita Mary T. Palackal | St.Joseph's College | data,mri,alzheimer's |
Rita Ouldsahraouia | Boston University | Alzheimer's, deep neural nework, machine learning |
Rita Ouldsahraouia | Boston University | Alzheimer's, deep neural nework, machine learning |
Rithesh Kini | Thadomal Shahani Engineering College | Alzheimer’s disease, brain MRI image |
Rithvik Ganesh | Jasper High School | AD, machine learning, diagnosis |
Ritobrato Datta | Johnson and Johnson | resting state fMRI, tau-PET |
Riya Agrawal | Thakur College of Engineering and Technology | Alzheimer's disease |
rizwan khan | Wuhan National Lab of Optoelectronics PRC | Medical Image Processing |
Rizwan saddique | Comsat | ADNI |
RJ Liu | Florida State University | Methodology Development, Early Detection, Alzheimer Image Datasets |
RM RAMASAMY | SASTRA UNIVERSITY | neuro |
Ro Hyunsoo | Sunchon National University | MRI stuctural |
Rob Knight | Univerity of California San Diego | ADMC |
Roba Al Majzoub | Mohamed Bin Zayed University of Artificial Intelligence | Alzheimer's, Detection, Deep Learning, Computer vision |
Robbert Struyven | UCLondon | ADNI, |
Robert Alexander | Banner Alzheimer's Institute | CDR |
Robert Barber | University of North Texas Health Science Center | Alzheimer's disease genetics |
Robert Bridges | Aegis Imaging Consultants | Hypometabolism |
Robert Chirwa | Bluegrass College | Machine Learning; Multi-omics; Alzheimer |
Robert Comley | Abbvie inc | PET, MRI |
Robert Dahnke | University Aarhus | gyrification |
Robert Eshun | North Carolina A&T State University | graph analysis, genomic markers, brain image patterns |
Robert Fellows | VA San Diego Healthcare System | cognition, everyday functioning, white matter hyperintensity, CSF, tau |
Robert Finnegan | University of Sydney | Image enhancement, PET/MR, deep learning |
Robert Gotwals | North Carolina School of Science and Mathematics | MRI, data |
Robert Hawkins | Cornell University | cerebral perfusion, adhesion molecules, amyloid-beta |
Robert Jan Schlimbach | University of Amsterdam | VQ-VAE |
Robert Kaplan | Stanford University | Amyloid, PET, GLMM, mild cognitiv impiarment |
Robert Laforce | CHU de Québec - Université Laval | Cognitive screening; cognitive charts; MoCA; MMSE |
Robert Latzman | Takeda | Endpoints, clinical characterization, novel endpoint development |
Robert Lontz | Unaffiliated (Retired) | diffusion tensor imaging; clinical MRI |
Robert Nagele | Univ. Medicine and Dentistry of New Jersey | biomarkers, MCI, diagnosis |
Robert Perneczky | Technische Universität München | genetic imaging, CSF markers |
Robert Reid | Mayo Clinic | DTI |
Robert Robison | Elder Research | Alzheimer's, MCI, SBIR, Innovation, Machine Learning, Artificial Intelligence |
Robert Robl | AMPEL BioSolutions | alzheimer's, rheumatology, autoimmune. inflammation, ALD |
Robert Smith | Compassionate AI Lab | Computational Neuroscience, neuro-degenerative diseases |
Robert Sweet | University of Pittsburgh | AD, Genetics, Psychosis |
Robert Unger | Cleveland Clinic | Multi-pattern voxel analysis; support vector machine learning |
Robert Vassar | Northwestern University | Whole-exome burden analysis, ultra-rare variants, Alzheimer's disease |
Robert Walecki | Babylon Health | Alzheimer's Disease; Hidden Markov Models, Conditional Random Fields, RNN |
Robert Welsh | University of Utah | resting state fmri |
robert wong | tsinghua university | AI, MCI, Age of brain,Explainability |
Roberta Giannelli | university of Pisa | alzheimer; transcriptomics |
Roberto dos Santos | University of Coimbra | Alzheimer's, fMRI, biomarker, memory |
Roberto Pirrone | University of Palermo | Mild impairement, 3D CNN |
Roberto Souza | University of Calgary | Aging, 3D deep learning |
Robia Pautler | Baylor College of Medicine | Mouse MRI rs-fMRI DTI |
Robin Chen | University of Florida | AD, ML, NN |
Robin de Flores | University of Pennsylvania | MTL tau atrophy AD |
Robin Deflores | Cyceron | Neuroimaging, Alzheimer, mental health, aging |
Robin French | Duke University | ADNI |
Robin Ghosh | Jackson state university | Image Analysis, CNN |
Robin Gutsche | Research Center Jülich | Radiomics, Transfer Learning, Deep Learning |
Robin Holmes | University Hospitals Bristol | Machine learning, VBM |
Robin LOUISET | NeuroSpin (CEA) - Paris | Machine Learning - Deep Learning - Clustering - Subtype Identification |
Robin Mae Schreiner | University of Sussex | Fairness, Prediction, Data Modelling |
Robin Mogg | Takeda | Biomarkers, Disease Progression |
Robin PM | Florida International University | SUVR, Freesurfer, centiloid |
Robyn Honea | University of Kansas Medical Center, KUADC | Genetics, family history, brain imaging |
Rochdi BACHIR BOUIADJRA | université of mascara | classification, deeplearning |
Rodney Guttmann | University of West Florida | Secondary data analysis, public health,minorities, rural |
Rodney Long | National Library of Medicine/NIH | fMRI, deep learning, connectivity, chronectrome |
Rodolfo Dias Chiari Correia | University of São Paulo | Mild Cognitive Impairment; Artificial intelligence |
Rodolfo Simões | University of Sao Paulo | transfer learning, qsar, drug discovery, bioinformatics |
RODRIGO ALBITER CAMPUZANO | UNIVERSIDAD AUTONOMA DEL ESTADO DE MEXICO | rs-fMRI, marker, mild cognitive impairment |
Rodrigo Basilio | IDOR | DNN Machine Learning |
Rodrigo Batal Fernández | Universidad Politécnica de Madrid | Alzheimer continuum, predictive models |
Rodrigo Batal Fernández | Universidad Politécnica de Madrid | Alzheimer continuum, predictive models |
Rodrigo Canovas | CSIRO | Bioinfomatics, alzheimer and dementia |
Rodrigo Debona | UFSC | hippocampus, volumetry, stereology |
Rodrigo Melendez Coral | Christus Muguerza | Alzheimer's desease, magnetic resonance, medial temporal atrophy, cognitive |
Rodrigo Moreno | KTH Royal Institute of Technology | GANs, synthetic MRI aging |
Rodrigo Santa Cruz | CSIRO, Australia | MRI brain segmentation |
Rogelio Benancio | UNAM | Alzheimer detection |
Roger Gunn | Imperial College London | Mathematical Analysis, Classification, Machine Learning |
Roger Mullins | NIA | AD, CN, AHBA, Gene Expression, Beta Amyloid, Tau, Hypometabolism |
Roger Staff | NHS Grampian | bvFTD |
Roger Staff | NHS | Reserve connectivity |
Roger Tam | University of British Columbia | dimensionality reduction, manifold learning, brain MRI |
Rogerio Akira Furucho | University of São Paulo | Alzheimer’s disease, neuroimaging, detection, diagnosis, artificial intelligence |
roh hedayati | Birjand university | alzheimer, Deep learning, detection ,neuro imaging |
Rohan Bapat | Stony Brook | Machine Learning, Convolutional Neural Network |
Rohan Datta | Army Institute of Technology | deep learning, fMRI, CNN |
Rohan Jain | PES UNIVERSITY | Extreme Learning Machine, Accuracy comparison, Alzheimer's |
Rohan Kalahasty | Harvard Medical School | Lewy Body Dementia, Alzheimers, Machine Learning, Multimodal |
Rohan Kapre | UC Davis | Ratio, GLM, Mixed Models, Brain Volume |
Rohan Koli | National College of Ireland | Machine learning |
Rohan Panda | Birla Institute of Technology and Science, Pilani | resting state, fmri, functional connectivity maps |
Rohan Pillai | Delhi Technological University | research |
Rohan Shetty | National Institute of Technology, Patna | Neuroimaging via Machine Learning |
Rohan Thorat | Manipal University Jaipur | Machine Learning Deep Learning Research |
Rohini M | SKCET | Support vector machines |
Rohini P | IIITDM Kancheepuram | Early diagnosis, Machine learning, Deep learning |
Rohit Kamath | Vanderbilt University Medical Center | brain localization and brain lesions in Alzheimer's patients |
Rohit Katole | G. H. Raisoni College of Engineering | classification of EEG signals |
Rohit Kundu | Jadavpur University | Brain MRI, Artificial Intelligence, Deep Learning |
Rohit Nigam | International Institute of Information Technology, Bangalore | Data Science, Machine Learning, Causal Analysis |
Rohit Philip | University of Arizona | MRTrix3; WM Tractography; MRI; |
Rohit Potnuru | University of Cincinnati | Detecting alzheimer's disease |
Rohith mokkapati | PES college | mental health detection using smart wearables |
Rohith P | Amrita Vishwa vidyapeetham | Alzheimer's, Machine Learning |
Roi Yosef | Find Surgical Sciences | Effective treatments deep learning |
Rok Kozel | Freelance | Deep learning |
Rokaia Mohamed | cairo university | Mild Cognitive Impairment (MCI), Deep learning, Alzheimer's |
Rokas Pranevicius | University of Leeds | ADNI, AI, XAI |
Rokaya Elziady | GUC | ML,AI |
Rokia Chettouh | University of Tlemcen - Algeria | Alzheimer's disease, feature extraction, Deep learning, CNN |
Rolf Heckemann | Imperial College London | anatomical segmentation, morphometry, volumetry, |
Rolin Wang | university of science and technology of china | correlation of the multi-modal data |
Romain Boudet | Oxford University | Community Detection, Brain networks, Classification |
Roman Bauer | Newcastle University | computational neuroscience |
Roman Palenko | BSNU Petra Mogily | neural network |
Roman Slonskyi | Slovak Technical University of Bratislava | Federated Learning, Deep Learning, Clasification |
Roman Studer | FHNW | Deep Learning |
Romano Coronel | Ateneo de Manila University | Alzheimer's disease; Mild Cognitive Impairment; Geometric Morphometric Analysis |
Romika Dhar | West Virginia university hospitals | Financial capacity dementia |
Rommy Elyan | Penn State College of Medicine | ADNI, knn |
Romoke Obagunle | HEBUT | Alzheimer's disease, deep learning, brain |
Romulo Stringhini | Federal University of Rio Grande do Sul | Deep learning, convolutional neural network, classification, medical image |
Ron Baker | University of Kentucky | Alzheimer's AD Dementia CARTS |
Ron Handels | Maastricht University | health-economic, decision modeling, simulation, natural disease progression |
Ron Killiany | Boston University School of Medicine | regions of interest, neocortex, hippocampus, entorhinal cortex |
Ronak Mehta | University of Wisconsin-Madison | covariance analysis, temporal analysis, deep learning |
Ronak Patel | University of Manitoba | resting-state fMRI, hippocampus, memory |
Ronal Coronado | Biomedical Imaging Center, Pontificia Universidad Catolica de Chile | Gridding artifacts |
Ronald Boellaard | University Medical Center Groningen | Image methodology, quantification, processing, classification |
Ronald Thomas | UCSD | power analysis clinical trials |
Rong Chen | University of Maryland School of Medicine | machine learning |
Rong Gao | Huazhong University of Science and Technology | qwe789 |
Rong Gao | Shanxi Medical University | Alzheimer's disease |
Rong Hu | Xiangya Hospital Central South University | conduct experiments and train models |
Rong Huang | Affiliated Hospital of Nantong University | PCSK9 inhibitor, mild cognitive impairment, retrospective cohort study |
Rong Liu | Jilin University | variable slection |
rong liu | The Second Affiliated Hospital of Soochow University | The thickness of the cortex |
Rong Liu | Changchun University of Technology | interval-censored data |
rong wang | sdnu | wl1314521 |
rong xiao | Huazhong University of Science and Technology | Multimodal biomedical AI, deep learning |
Rong Ye | Massachusetts general hospital | cortical atrophy; NFL; Alzheimer's disease |
rong zeng | The Second Affiliated Hospital of Chongqing Medical University | AD |
RONG ZHOU | University of Pennsylvania | AD biomarker |
Rong Zhou | Lehigh University | imaging genetics, sparse canonical correlation analysis |
RONG ZHU | Newcastle University | block missing, factor regression model, missing not at random (MNAR), |
rongfa zhou | 暨南大学 | 阿尔茨海默病 |
Ronghua Ling | sumhs | AD continuum |
Rongman Xu | Nancai University | deep-learning, convolutional-neural-networks, clinical-data, brain-mri |
Rongqin Chen | Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences | direct and indirect structure-function causal influence in brain |
Rongrong Lin | The Second Affiliated Hospital of Zhejiang University Medical College | Alzheimer's disease; biomarker |
rongtao zhang | Anhui Medical University | Do image classification of Alzheimer's as graduation project |
Rongxiang Rui | Renmin University of China | FDA, mixed-domain functional linear models, mFPCA |
Rongxiang Tang | University of California San Diego | NfL, creatinine |
Rongxuan He | Johns Hopkins University | 4376649826Hrx@ |
Rongz Wang | Huashan Hospital | scientific investigation |
Rongzhao Zhang | HKUST | GCN, population prediction, deep learning |
Roni Tibon | University of Nottingham | MCI; AD; BioFIND; fractal dimensionality |
Ronit Taleti | The Knowledge Society | Machine Learning, Deep Learning, MRI, images |
roobini ms | sathyabama college | alzheimer |
Roobini S | SNS College of Technology | ALZHEIMER, PREDICTION |
Roopa Mahadev | AIS | Adithya |
Roopal Bhatnagar | Critical Path Institute | missing data imputation |
Roos Jutten | VU University Medical Center | Alzheimer's disease; composite scores; clinical progression |
Roos Jutten | Mass General Brigham | cognition, measurement |
Roozbeh Rajabi | Qom University of Technology | Alzheimer’s disease, MRI, deep learning |
Roozbeh Sadeghian | Harrisburg University of Science and Technology (Harrisburg, PA) | brain aging, machine learning, deep learing |
Rory Boyle | Massachusetts General Hospital | Resistance, Resilience, Sex Differences, Neuroimaging, PET |
Rory Maclean | University College London | educational |
Ros Mac Thoim | Ulster University | supervised learning, machine learning |
Rosa Rademakers | Mayo Clinic | FTD, ADSP, Alzheimer's disease, Frontotemporal dementia, whole genome sequencing |
Rosa Sepúlveda Correa | Universidad de Salamanca | Multivariate image analysis |
Rosaleena Mohanty | Karolinska Institute | PET MRI Longitudinal |
Rosanna Olsen | Baycrest | ERC, entorhinal cortex, alERC, grey matter |
Rosanna Turrisi | University of Genoa | AD classification, Deep learning, MRI data, multi-modal data integration |
Rosemarie Faustina Le | Ecole Polytechnique Fédérale de Lausanne (EPFL) | episodic memory, bodily self-consciousness, tractography, DTI |
Rosemary Davies | Universidad Yachay Tech | MRI,DICOM |
Rosember Guerra Urzola | Tilburg University | Sparse Principal component analysis, High Dimensional analysis, Optimization |
Roser Sala-Llonch | University of Barcelona | PVC, Monte Carlo, PET, Simulation, Quantification |
Roshaan Siddiqui | University of Engineering and Technology Lahore | Machine Learning, Alzheimer's Disease, Diagnosis, AD, MCI |
Roshan J | Karunya University | research |
Roshan Neil Livingstone | Mark and Mary Stevens Neuroimaging and Informatics Institute | LONI |
Roshani Wijesuriya | university of moratuwa | Alzheimer's |
Roshni Mary Raj | Muthoot Institute of Technology & Science | Alzheimer's |
Rosie Walker | The University of Edinburgh | APOE, proteomics, metabolomics |
Rosita Shishegar | CSIRO | AIBL study, longitudinal |
Ross Briden | Brown University | MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis |
Ross Divers | Louisiana State University | Everyday Function, Neuropsychiatric Symptoms, Cognitive Decline |
Ross Dunne | University of Manchester | deep learning, variational autoencoder, anomaly-detection, biomarker |
Rossella Rizzo | University of Calabria | Automatic Segmentation, MRI, Multiple Sclerosis |
Rostom Mabrouk | Bishop's University | Alzheimer, PET, SPECT |
Rou Xuan Shu | National Central University in R.O.C | Dimension reduction,PCA,logistic regression, decision tree |
Rouhollah Abdollahi | Janssen Pharmacuiticals | Tau, Connectivity |
Rowena Ong | Medtronic, Inc. | Segmentation, algorithm validation |
Roxy Chen | Jinan University | Alzheimer's Disease, Joint Models, Machine Learning |
Roy Adams | Johns Hopkins University | risk prediction; machine learning |
Roy Levy | Arizona State University | Bayesian; psychometrics |
Roy Seo | University of Washington | MCI, AD |
Roya Goodarzi | Amirkabir university of technology | HC; MCI; AD; Alzheimer vs controls; hippocampus; |
Roya Riahi | Isfahan university of medical science | Causal effect, Model averaging, Dementia, Alzheimer’s disease, Risk factor |
ROZA NAVIYA | RUET | i will use the dataset for my research purpose |
ru yang | 兰州大学 | machine learning |
Ruan Jian Yaun | National Chiao Tung University | Deep leaning, Alzheimer |
ruan yao | aiyuan University of Science and Technology | The graduation thesis analyzes ADNI data |
Rubaiya Reza Sohana | Jahangirnagar University | Alzheimer Disease |
Rubaiyat Hridhee | Chittagong University of Engineering and Technology | volumetric analysis, voxel based morphology |
Rubén Aguilera García | Granada University | CNN, Alzheimer detection, deep learning. |
Ruben Aguilo Schuurs | University of Wisconsin-Madison | Neuroimaging, MRI, PET, Deep Learning, AI, Interpretability, Alzheimer's Disease |
ruben Garcia Quintana | Universidad de las Palmas de Gran Canaria | CNN |
Rubén Herzog | Universidad Adolfo Ibanez | information theory, complex systems, biomarkers |
ruben martin | UOC | alzheimer mri DL |
Ruben Sanchez-Romero | Rutgers-Newark | Networks, fMRI, biomarkers |
Ruben Smith | Lund University | Tau PET, Amyloid-beta PET, Blood flow |
Rubia Gulzar | COMSATS University Islamabad | Machine Learning, Alzheimer's Detection |
Ruchika Das | Tezpur University | Alzheimer analysis |
Ruchir Bhatt | Nanostring technologies | Deep learning |
Rudhra B | IIITMK | PARKINSON |
Rudi O'Reilly Meehan | Fjord | data visualization |
Rudolph Tanzi | Massachusetts General Hospital | Alzheimer's, Genetics |
Rudrani Maity | srm institute of science and technology | multiclassification |
Rudrani Maity | srm institute of science and technology | multiclassification |
Ruhananhad P. Reddy | TTU | alzheimers, machine learning |
Ruhananhad P. Reddy | TTU | alzheimers, machine learning |
Ruhika Sharma | CSIR-IHBT | Alzheimer Disease, MRI Scans, Deep learning |
RUHUL AMIN HAZARIKA | NEHU | Alzheimer detection using brain MRI |
Rui Armindo | Hospital Beatriz Ângelo | ASL; Neuroimaging; Research; Teaching |
rui bao | University of Science and Technology Beijing | seraphim19730521 |
Rui Camacho | Faculdade de Engenharia da Universidade do Porto | Multi-Relational Data Mining |
RUI CHANG | University of Arizona | Alzheimer's, Sex difference |
Rui Hao | AnHui University | medical image segmentation |
Rui He | Universitat Pompeu Fabra | information flow |
Rui Hu | ZJU | PET image reconstruction |
Rui Li | Chinese Academy of Sciences | directed connectivity, Bayesian network, resting-state, functional connectivity |
Rui Li | Huashan Hospital, Fudan University | perivenous space; Alzheimer’s disease; amyloid PET, susceptibility-weighted imag |
Rui LIU | City University of Hong Kong | wkyi8023u |
Rui LIU | City University of HongKong | mental disoreder classification |
Rui Ma | Jilin University | multivariate interval-censored data |
rui su | Yanshan university | AD; Study;Analyze |
Rui Sun | Beijing University of Posts and Communications | MRI ML |
Rui Sun | Sun Yat-Sen University | hahahaha112 |
Rui Sun | Southeast University | AD inflammatory factors |
Rui Tao | Florida Atlantic University | glucose, pyruvate, tryptophan, glutamine, solute carries, lactate, ATP |
Rui Wang | Texas Tech University Health Sciences Center | health disparity, big data |
Rui Wang | Fujian Normal University | ADNI data |
Rui Wang | University of Florida | Alzheimer's disease, AD, MCI, machine learning, classification |
rui wang | Sichuan University | MRI, MIL |
Rui Yan | University of California, Irvine | Resistance |
rui yang | Hubei University of Technology | 3D ViT |
Rui Yang | Shanghai Jiao Tong University | brain network analysis |
Rui Yao | leicester university | AD CNN |
Rui Yin | Nanjing First Hospital, Nanjing Medical University | deep learning, stable diffusion, progression, degenerative disease |
Rui Zhang | BeiHang University | brain MRI super-resolution |
Rui Zhang | Tsinghua university | machine learning |
rui zhu | shandong university | medical image analysis |
rui zhu | shandong university | study |
RUI ZOU | Juntendo University Graduate School of Medicine | Perivascular spaces; Alzheimer's disease; Deep learning; Automated grade |
Ruibo Zhang | Texas Tech Univ. | Machine learning |
Ruibo Zhang | Texas Tech Univ. | Machine learning |
Ruichen Yan | Zhejiang University | MCI;structure characteristics;brain network of the disease |
Ruida Cheng | NIH | brain segmentation and classification |
RUIHAN SONG | Shanghai University | fMRI |
Ruijia Chen | University of California, San Francisco | biomarker studies |
Ruijing Chen | Yunnan University | distributed statistics analysis |
ruijuan dong | Capital Medical University | hearing, Alzheimer's disease, MRI, tau |
Ruikun Xu | Tsinghau | federated learning, mri |
Ruilin Zhu | Wolfram Research Summer Program | alzheimers |
Ruiming Zhu | NorthEastern University | asdfghjklzxcvbnm |
Ruinan Shen | Ruijin Hospotal, Shanghai JiaoTong University, School of Medicine | ARAS, structural connectivity, functional connectivity |
ruiping cui | Qingdao Municipal Hospital | Alzheimer disease |
Ruiqing Ni | ETH Zurich & University of Zurich | Tau, Amyloid, plasma, PET |
Ruiqing Wang | Nanjing University of Information and Technology | Deep learning; early diagnosis of Alzheimer's disease |
ruirui liu | Nanchang University | ADNI, PET |
ruishu xu | GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY | susujiang719 |
Ruitao Liu | Case Western Reserve University | multimodal learning |
Ruiwen Huang | Shanghai Maritime University | 研究,神经网络 |
Ruiwen Zhou | University of Missouri-Columbia | Missing at random, Interval-Censored data |
Ruixi Zhou | Beijing University of Posts and Telecommunications | deep learning, predictive models |
RUIXIANG HOU | BEIHANG UNIVERSITY | AD, MCI, brain network |
Ruixiang Pan | UESTC | machine-learning,multi-modal data |
RuiXin wang | Qilu University of Technology | MRI image,Convolutional Neural Network |
Ruixuan Han | SJTU | medical imaging |
Ruixuan Li | UESTC | deep learning |
Ruixuan Li | University of Glasgow | deep learning |
Ruixue Man | Hebei University of Technology | neural network |
ruiying du | 北京科技大学 | MCI,AD,模块化 |
Ruizhi Han | University of Macau | Image classification, Computer vision, Computer aided diagnosis |
RuiZhi Zhang | The North University of China | segmentation |
Rujing Zha | USTC | MRI, memory, deep learning |
Rukaya Manzoor | GCET Safapora | Alzhiemers |
Rukesh Prajapati | Chosun University | Alzheimer, Dementia |
Rukhsana Abdul karim | Superior University Lahore punjab pakistan | Alzheimer disease, MRI, Machine Learning Deep learning |
Rukiye Karakis | McGill University | dti,deep learning, stroke, motor recovery |
Rukku Bala | Ericsson Inc. | dementia, alzheimers, mri, ai, clinical data |
Run Zhou Ye | University of Sherbrooke | Machine learning |
Run Zhou Ye | University of Sherbrooke | Machine learning |
Runa Nomura | Shionogi & Co., Ltd. | Alzheimer's disease |
Runar Isaksen | SSHF | ML, MRI, Alzheimer, Image Detection |
Runfeng Tian | University of Oklahoma | fMRI |
runhuan chen | nanjing university of Posts and telecommunications | CNN-Transformer model |
RUNJIA LIN | Dalian University of Technology | Image registration, deep learning |
runtian li | BUPT | lovewhowho.. |
RunYu Kang | central south university of forestry and technology | Neural network,Auxiliary diagnosis |
runzhi li | beijing tiantan hospital | Alzheimer's disease, cerebral blood flow |
Ruo-Ci Yu | Chang Gung University | academic research |
Ruochen Jin | University of British Columbia | brain imaging genetics; multigraph clustering; Alzheimer’s disease |
Ruochen Yu | Zhejiang Sci-Tech University | AD |
Ruochen Zhou | University of Bristol | Alzehimer; multi-modality |
RuoDing Wang | University of Toronto | beta-blockers, apathy, depression, cognition, dementia, alzheimer's disease |
Ruogu Fang | University of Florida | Alzheimer's Disease, cerebral perfusion, machine learning |
Ruojing Zhou | xupt | 数学建模 |
ruomei wang | Shandong University | disease prediction |
ruomei wang | Shandong University | disease prediction |
Ruoming Wang | Nanjing Medical University | Data preprocessing |
ruonan li | Xi'an University of Technology | Medical image classification |
Ruoqi Chen | South China University of Technology | CNN-SVM hybrid model |
ruoxian song | northeastern university | brain related academic research in university, |
Ruoyao Shi | University of Michigan | Bayesian |
Ruoyi Zhu | University of Washington | IRT, HLM |
Rupal Kapdi | Nirma University | Deep Learning, Machine Learning, Alzheimer's Disease |
Ruqian He | Ruian People's Hospital | Alzheimer's disease |
Rushi Dar | no | data scientist |
Rushikesh Jyoti | Vishwakarma University | fmri, analysis, ROI |
Russ Chua | Institute for Infocomm Research | computer vision |
Russ Hornbeck | Wash Univ Sch Med - STL | Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer |
Russell Peavey | University of Illinois Urbana-Champaign | Disease progression modeling |
Russell Swerdlow | University of Kansas Medical Center | Genetics, using ADNI data as a teaching example, Friday Harbor |
Russell Tabata | The Toronto Dementia Research Alliance (TDRA) | Alzheimers |
Ruth Alcala Lozano | National Institute of Psychiatry Ramon de la Fuente | Mild Cognitive Impairment. rTMS. Neuromodulation. |
Rutuja Joshi | K. K. Wagh Institute of Engineering Education and Research, Nashik | Multi-view, CMC, AD |
Rutvi Prajapati | Vellore Institute of Technology, Vellore | Machine learning, Alzheimer's disease, neural network |
RUXUAN WU | TIANJIN UNIVERSITY | TENSOR |
Ruyi Xiao | qufu normal university | Alzheimer's disease |
Ruyu Shi | University of Pittsburgh | disease progression, MMSE |
ruyu Xing | Hangzhou Dianzi University | correlation,classification |
RVNS Kalyan | HyperVerge | Artificial Intelligence, Computer Vision, Deep Learning |
Ryan Andrew Dmello | Syracuse University | Fairness in Missing Data Imputation |
Ryan Andrews | Boston University | Bayesian models; cognitive function; psychometrics |
Ryan Cabeen | USC LONI | tools |
Ryan Corces | Gladstone Institutes | WGS, machine learning, rare variants, AD |
Ryan Darby | BIDMC | cognitive reserve, executive, semantic, neuroimaging |
Ryan Ellis | NCIRE | arterial spin labeling, ASL |
Ryan Fairchild | University of Maine | Tracking, atrophy |
Ryan Godwin | Wake Forest Baptist Health | Machine learning, artificial intelligence, glymphatic, PET, MRI |
Ryan Hogan | St. John's University | Computer Vision |
Ryan Lara | Genentech | downloader |
Ryan Lemos | Candiphi Healthcare Private Limited | MRI images of the brain |
Ryan McCammon | University of Michigan | HRS HCAP neuropsychology calibration |
Ryan Morton | Morton Analytics LLC | deep learning, classification, machine learning |
Ryan Roggenkemper | University of California, Berkeley | deep learning |
Ryan Tongs | University of Queensland | Deep Learning, Neural Networks, Perceiver Transformer |
Ryan Wales | Stony Brook University | CSF Alzheimer's Parkinson's gender PTSD age |
Ryan Wang | Naitonal Tsing Hua University | Machine learning, Shortcut learning, Image augmentation |
Ryan Zhao | Johns Hopkins University | Class Study |
Rye Young Kim | Ewha W. University | brain age prediction |
Ryo Dairiki | Eisai Co., Ltd. | MCI-to-AD-conversion |
Ryo Tajiri | Saga university | multimodal analyse |
Ryoko Ihara | The University of Tokyo | preclinical AD, amyloid PET, CSF biomarker, clinical outcome |
Ryosuke Minami | Tokyo University of Science | machine-learning, dementia, mmse |
RYU CHANJU | BUNDANG CHA HOSPITAL | Deep learning |
ryu seongeun | kyonggi-university | analysis |
Ryuichi Takahashi | Rihabilitation Hospital at Nishi-Harima | APOE4 FDG PIB MCI |
Ryuji Kubota | SHIONOGI & CO., LTD. | disease progression model |
S Arvind | Indian Institute of Information Technology, Nagpur | Alzheimer's Disease, Mild Cognitive Impairment, Deep Learning, ADNI |
S GF | Shanghai Maritime University | ADNI |
s h | JiangNan University | Hippocampus segmentation |
S M Mahim | Islamic University, Kushtia | Ml, DL |
S M Rakib Hasan | BRAC University | medical, 3D, segmentation |
S Priya | Arignar Anna Government Arts College, Villupuram, Tamilnadu, India | epistasis |
S. Jahanshah Kabudian | Razi University | Deep Learning |
S. M. Shafkat Raihan | University of Chittagong | Alzheimer's disease, BRBES, Nature Inspired Optimization, Neurological disorder |
S.MohammadAmin Fathollahi | Tehran University of Medical Sciences | Alzheimer's disease - Artificial intelligence - Deep learning - genetics - age |
Sa Faber | Rotman Research Institute | MCA |
Saachi Kudtarkar | University of California, Los Angeles | medical, imaging, machine learning, biomarkers |
Saad Albawi | University of Diyala | Deep Learning, Alzheimer’s disease, |
SAAD ALI | riphah international university islamabad | Directory of Open Access Journals (DOAJ) |
Saad Hussain | University of Karachi | deep learning, neuro imaging, SVM, prediction, analysis, data |
Saad Salman | University of Gujrat | ADNI, Machine Learning, Research |
Saai Sudarsanan D | SASTRA Deemed to be University, Thanjavur | Data Analytics, CNN Algorithms, Machine Learning, GatesNotes |
Saanil Khanna | Symbiosis Institute of Technology | Alzheimer's Detection |
Saar Mridul | University College London | CSF, Biomarkers, Alzheimer's, Regression analysis |
Saba Bibi | international Islamic university Islamabad | alzheimer |
saba nikbakhsh | urmia university | synthetic MRI_CT_deep learning_sMR generation |
saba yavari | Islamic azad university of Tehran | MCI, atrophy |
Sabbir Ahmed | Jiangnan University | CNN, Alzheimer's |
Sabbir Tarafdar | Dr. B. C. Roy Engineering College | fractal analytics |
Saber Chacha | University of Kasdi Merbah Ouargla | Medical Image, MultiModeling, Image Analysis |
Saber Naderi | Compudu | digital health, RAVLT, 15 words |
Saber Rezaei | Iran University of Science and Technology | SVD |
SABI TRAIFI | University of Montreal | AD, machine learning, brain atrophy, MRI |
Sabina Andya | University of Indonesia | PET scan datasets |
Sabri Altunkaya | Necmettin Erbakan University | resting state networks |
Sabrina Camargo | Universidad Nacional de San Martín | Functional connectivy, BOLD analysis |
Sabrina Manickam | Vellore Institute of Technology | Alzheimer's, MRI |
Sabrina nefoussi | emp | AD, MR, DEEP LEARNING, Attention |
Sacha McElligott | New York University Langone Health | Alzheimer's, CSF, biomarkers |
Sachin Kumar | University of Jammu | artificial intelliegence |
Sachin Miraje | Walchand Collage of Engineering Sangli | Dementia and ML |
Sachin Patalasingh | NIMHANS | Resting state, MRI |
SACHINKUMAR VAGHARI | Nirma University, Ahmedabad | Alzheimer's Dieses classification using CNN. |
Sadaf Farkhani | Hvidovre Hospital | White Matter Hyperintensity |
sadaf rahmani | Semnan University of Medical Sciences | PTSD , Alzheimer |
sadaf tabatabaie | isfahan university of technology | deep learning |
Sadeeq Bello | University of Campinas | Datasets Image |
Şadi Arif Yüksel | KTO Karatay University | Biomedical Engineering, Machine Learning |
Sadia Amin | BRAC University | AD,Neural network |
Sadia Kamal | HALLYM UNIVERSITY | structural MRI, biomarkers |
Sadia Shakil | Institute of Space Technology | Functional connectivity, Manifold learning, Topological data analysis |
SADIAT MUHAMMED | MIDDLE TENNESSEE STATE UNIVERSITY | Alzheimer's disease, Tensor flow and keras. |
Sadiq Alinsaif | University of Ottawa | classification; machine learning; deep learning; feature extraction |
Sadman Sakib | Bangladesh University of Engineering & Technology | Research, Analysis, Classification, Machine Learning |
Saed Sayad | Rutgers University | Alzheimer Data Science Biomarkers |
saeed aryanmehr | Islamic Azad Univercity | Deep learning, Alzheimer's disease, MRI, CNN |
saeed aryanmehr | Islamic Azad Univercity of Isfahan(Khorasgan) Branch | Alzheimer's disease, Deep learning, MRI, CNN |
Saeed Ghodsi | University of California, Los Angeles | Disease Progression Modeling; Statistical Analysis; Healthcare Services Research |
saeed imanparast | university of Tabriz | functional connectivity , healthy older, Alzheimer disease |
Saeed Iqbal | University of Central Punjab | Brain MRI, Alzheimer Segmentation |
saeed masoudnia | Advanced Medical Technologies and Equipment Institute (AMTEI) | Alzhemer diagnosis, multi-modal MRI, deep learning |
Saeed Mohtashamrad | Islamic Azad University North Tehran Branch | Alzheimer's disease |
Saeed Soleimanifar | Shahid Rajaee Teacher Training University | diagnosis, Alzheimer, CAD, MRI |
Saeed Taghavi | IASBS | Deep learning, Alzheimer's disease |
Saeid Agahian | Erzurum Technical University | Alzheimer’s disease diagnosis, Deep Learning, LSTM, |
saeideh hassanpour | Tehran University of medical scienses | AD-amyloid beta-dementia-cognitive |
Saeideh Saeidi | Amirkabir University of Technology | MRE, micromechanical model, biomechanics, Alzheimer`s disease |
safa hlawa | ISITCOM | deep learning, AD, MRI |
safa hlawa | ISITCOM | deep learning, AD, MRI |
Safak Kayikci | Bolu Abant Izzet Baysal Univeristy | medical images, deep learning |
safdar sardar khan | RKDF University Bhopal India | Machine learning, deep learning, Alzheimer's disease, classification, detection |
Safi Ullah | Hallym University | PSP, PD |
safna c a | CUSAT | Gene expression data |
Sagar Bachhav | AbbVie | Amyloid beta, PET |
Sagar Sharma | Vellore Institute of Technology | Alzheimer Diagnosis |
Saghar Mehraban | Tehran University of Medical Sciences | Alzheimer's disease, Inflammatory biomarkers, CRP, ESR |
Sagthitharan Karalasingham | University of Southern Queensland | MRI classification |
Sahab Shahab | Vienna University of Technology | cohort, visualization |
Sahana Behera | Lexington High School | Brain MRI Scans, Machine Learning network |
Sahana M | Govt. SKSJT | Alzheimer Disease |
Sahana Upadhya | New York University | Machine Learning, Alzheimer's |
sahand abbasi | K. N. Toosi university | computer vision, deep learning, AD |
sahand ghorbanpour | university of california, irvine | Alzheimer |
Sahar Ahmad | University of North Carolina at Chapel Hill | lifespan; brain; development; aging |
sahar borazjani | isfahan university | LIPOPOTEINS AND METABOLITES |
sahar khoshghalb | araye | 123456 |
Sahar M.rad | Institute for Advanced Studies in Basic Sciences | hsahar |
sahar nasser | Indian Institute of Technology Bombay | super-resolution |
sahar Nikbakht Aali | University of california, Irvine (UCI) | PET Images, Convolutional Neural Network, Denoising, Image Construction. |
sahar salimpour | Urmia University of Technology | Alzheimer’s disease (AD), deep learning, machine learning, CNN , SDA |
Sahel Heydarheydari | Ahvaz Jundishapur University of Medical Sciences | AI, Deep Learning, Machine Learning |
Sahil Khan | Amity University | CNN, Machine Learning, Alzheimer's disease. |
Sahith Reddy Peddireddy | Indiana University Health | Neuroimaging, CSF, Plasma, Cognition, Genetics, Comorbidities |
sahith saraswathi | PES university | CNN-Xgboost and stacked pretrained models |
Sahithi Reddy | Student | Alzeimers |
Sahitya Arya | Graphic Era Deemed to be university | 97 |
sahitya arya | Graphic Era Deemed to be university | 97 |
Sahra Mohazzab-Hosseinian | University of Southern California | GWAS |
Sai Adhinesh Reddy T | Manipal University Jaipur | Brain images |
Sai Ayachit | The National Institute of Engineering | deep learning, major depressive disorders, MRI |
Sai Darahas A | National Institute of Technology Andhra Pradesh | neuroimaging |
Sai Kaushik Shankar Ramesh Kumar | University of Minnesota | GWAS, Combined study data |
Sai Kiran Kilaru | Velagapudi Ramakrishna Siddhartha Engineering College | Alzheimer's, MRI, Early detection, Deep learning |
SAI KUMAR GONDI | Search Results Web results Dr.M.G.R. Educational and Research Institute | diabetes type-II , research , Deep Neural Networks |
Sai Kumar Reddy Pulagam | Gokaraju Rangaraju Institute of Engineering & Technology | ALZHEIMERS DISEASE DETECTION |
Sai Narsi Reddy Donthi Reddy | Individual | computer vision, machine leanring |
Sai Narsi Reddy Donthi Reddy | Individual/ Researcher | computer vision, machine leanring, Deep Learning |
sai nikhil | lovely professional university | Artificial Intelligence |
Sai Prasanna M S | National Institute of Technology Surathkal Karnataka | Graph theory, functional connectivity |
Sai Prasanth Kanamarlapudi | George Mason University | ML Project |
Sai Revanth Sivaraju | Santa Clara University | Deep Learning, Student and Detection |
Sai Sanjay Balaji | University of Minnesota | Deep learning, Causality, Brain connectivity |
SAI SANTOSH AMBATI | NITK SURATHKAL | Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique |
SAI SINGU | National College Of Ireland | Thesis |
sai smruthi diwakar | SASTRA UNIVERSITY | Final year project on prediction of alzheimer's |
Sai Spandana Chintapalli | U of Penn | image processing |
Sai Teja | Uppsala University | 3D-GAN-superresolution , github code, model trainig. |
Sai Vamshi Kavali | CBIT | Alzheimer's Disease |
Sai Vasavi Harsha Vardhan Gupta Somisetty | GITAM | deep learning |
Sai Venkatesh PADALA | GMR Institiue Of Technology | Alzheimer,Deep Learning,CNN |
Sai Vineeth Karampuri | KU College of Engineering & Technology | Alexnet, 3D Encoded CNN, Transfer Learning, Image Processing |
Sai Vythik Mankala | kakatiya institute of technology and science | major project |
SAI ZHANG | Stanford University | Deep learning, imaging, genome analysis |
said akça | Sakarya University of Applied Sciences | Deep Learning, Artificial intelligence, Alzheimer's, |
Said Mahdi Mutahari | Mahidol University | Positron Emission Tomography- Alzheimer's Disease- atlas based- feature extracti |
Saida Ghazela | Faculté des Sciences de Gafsa | Alzheimer Database Brain |
Saif Alansari | UTeM | deep learning , Alzheimer's disease , AI |
Saif Aldeen AlRyalat | University of Jordan | Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy. |
saif ur rehman qureshi | punjab university | Alzheimer |
Saiful Islam | North South University | Reasearch |
saikrishna voonnaa | st clair | prediction of Alzheimer's |
SAILIL SOMAN | Beth Israel Deaconess Medical Center | AD FLAIR, Susceptibility |
Saima Hilal | National University of Singapore | Artificial intelligence, dementia, mild cognitive impairment |
Saima Khan | Student | Alzheimar's disease, DTI, Machine Learning |
Saima Rathore | Eli Lilly | longitudinal |
Saira Mathai | Kerala University of Digital Sciences, Innovation and Technology | Detection, Machine Learning, Depression, MRI |
Saisruti Rangaraj | Anna University | Alzheimer's disease, EEG data, EEG signal, comparative study |
saiyuan chen | 重庆邮电大学 | study |
Sajad Darabi | University of California, Los Angeles | Machine Learning, Heterogeinity, Clustering |
Sajad Farrokhi | Florida International University | Alzheimer’s Disease Diagnosis, Graph Neural Networks |
SAJAN BHOSALE | SANJAY GHODAWAT UNIVERSITY | Alzheimer's Dataset |
Sajib Acharjee | BUET | Multimodal data Imaging Early detection |
SAJID HUSSAIN | University of Science and Technology (UST) South Korea | Dataset |
Sajjad Iraji | Tehran University of Medical Science | brain function in Alzheimer, MRI |
sajjad rad | uni tbz | : یادگيري عميق، بيماري آلزایمر، تصاویر MRI ،پایگاهداده ADNI ،شبكه عصبي کانولوشن |
Sakiko Itoh | Osaka University | AD, MCI, subtype |
Sakiko Tsugawa | Keio University | SSSS |
Sakina Naqvi | Prisma Health | beta-amyloid, ADNI-TBI |
Sakina Rao | University of Minnesota | Alzheimer's Disease, Deep Learning |
Saksham Goyal | BML Munjal University | Reasearch, Computer Vision |
Sakshi Kedia | NMIMS University Mumbai | Sparse logistic regression |
sakshiwala . | National institute of technology patna | mild cognitive impairment, resting functional MRI, brain functional network |
Salah Abbas | Northwest Missouri State University | VAE, GAIN |
Salah Mekhalalati | Carleton University | Late-life depression, dementia, hippocampus, MRI |
salamata konate | QUT | prediction |
Saleh Musleh | Hamad Bin Khalifa University | Machine Learning, Deep Learning, Polygenic Risk Score, ADC, ADNI |
saliha Moussaoui | Amoneta Diagnostics | alzheimer Biomarkers |
Salil Komer | Duke University | MRI, Voxel, Alzheimer's disease, ADNI-1, ADNI-Go, ADNI-2, ADNI-3 |
salim rami | ent marseille | #deepleaning #corticalsurfacereconstruction #CSR |
Salma Bougacha | INSERM | Alzheimer, spreading, tau, connectome |
Salma Jamal | Jamia Hamdard | Neurological disorders, genetic biomarkers, Alzheimer’s, machine learning models |
Salman Ul Hassan Dar | Heidelberg University Hospital | image synthesis, generative modelling |
Salomon Khabie-Zeitoune | Imperial College London | DL-PINN-MCI-FMRI |
Saloni Bhatia | Researcher | Machine Learning, AI, ADNI |
Salvador Olmos | Zaragoza University | morphometry, diffeomorphism |
Salvatore Contino | University of Palermo | Deep learning 3D |
Salvatore Mazzeo | University of Florence | machine learning, prediction |
Sam Beaton | Self | network |
Sam Fisher | Medical and signal Processing Center | Resting state-brain connectivity-alzheimer disease-functional imaging-Neuroimagi |
SAM flora | boston | ADNI |
Sam Javidi | Tehran university of medical sciences | MRI, mild cognitive impairment, Alzheimer's disease, AD |
Sam Lam | City University of Hong Kong | deep learning, MRI |
sam max | sharif | MRI, Alzheimer’s Disease, Deep Learning, Convolutional Neural Network, Residual |
Sam Nguyen | Lawrence Livermore National Lab | deep learning, fmri, brain decoding |
Sam Reddy | University of Toronto | Imaging BioMarkers for |
Sam Windels | barcelona super computing center | Patient stratification, biomarker discovery, topological brain network analysis |
Sam Yastas | AOS | ASD, MVPA, fMRI, ML, DL, unsupervised, ensemble |
Samabia Tehsin | Bahria University | Alzheimer disease, medical diagnosis, mental health analysis, deep learning |
samad azimi | shahroodtu | deep learning |
Samadrita Chowdhury | University of Massachusetts,Lowell | Graphs, CNN, PET, FMRI |
samah Abuayied | Umm Al-qurah university | AD |
Samah Khawaled | Technion | Registration, MRI, Deep learning |
saman fouladi | tmu | y |
Saman Hazany | usc | White matter disease, aging brain |
Saman Noorzadeh | Shahid Beheshti Universoty | DFC, Dynamic Functional Connectivity, sleep disorder, AD, Alzheimer disease |
saman serajian | K. N. Toosi University of Technology | Deep Learning,Alzheimer,CNN,LSTM,Bayesian |
Samaneh Abolpour Mofrad | Western Norway University of Applied Sciences | Alzheimer, Mixed effect model, Machine Learning, ventricle, Hippocampus |
Samaneh Nemati | University of South Carolina | brainage, functional connectivity, aging |
samaneh nobakht | university of calgary | hippocampus, alzheimer's disease, neural network |
Samanta Knapic | Umea University | Explainable AI, medical images, interpretability |
Samantha Bell | Cleveland Clinic - Lou Ruvo Center for Brain Health | dementia, Alzheimer's, hippocampus, aggression |
Samantha Burnham | CSIRO | Alzheimer's; genetics, Validation, Longitudinal |
Samantha Burnham | AvidRadiopharmaceuticals | Tau, Amyloid |
Samantha By | Hyperfine | segmentation |
Samantha By | Bristol Myers Squibb | diffusion |
Samantha Graf | Brunel University | Alzheimer's disease, Thalamus volume |
Samantha Nimmo | University of Southern California | Pollution study |
Samantha Paco | University Calofornia San Francisco | Alzheimer |
Samantha Sanjeev | JSS COLLEGE OF PHARMACY | Alzheimer's, Machine Learning |
Samantha Tun | Yale University | amygdala, Alzheimer's disease, PET, Preclinical |
Samara Banno | University of london | cognitive assessment tolls and scores |
Samara Pinto | PUCRS | FDG, PET, Alzheimer, frontotemporal |
Samarth Anand | Meerut Institute of Engineering and Technology | Research, Machine Learning, Thyroid Detection |
Samarth Roday | IIT Kanpur | Image processing, Alzheimer's |
Sambath KUMAR | PONDICHERRY UNIVERSITY | Gabor filter |
Sameer Gabbita | Thomas Jefferson High School for Science & Technology | Machine Learning, MRI, Mild Cognitive Impairment, Alzheimer's Disease |
Sameer Janjal | Student | Brain MRI Parkinsons Detection |
Sameer Mahajan | Terna Engineering College | Deep Learning, Inception, VGG19, Xception, NASNET, Causal Inference |
sameh Gharbi | isims | samehgharbi |
Samet Altuntas | Gazi University | Deep Learning |
Samhita Korukonda | Bellevue College | Alzheimer's Disease, Dementia, Artificial Intelligence, Machine Learning |
SAMI AL-SHARABI | UNIVERSITI TUNKU ABDUL RAHMAN | deep learning CNN Alzheimer's disease prediction classification |
Sami Andberg | University of Eastern Finland | Alzheimer's disease, early detection, machine learning |
Samia Boubaya | university of m'sila | neuroimaging, machine learning, fMRI, EEG |
Samia Mohinta | UCL | Modality classification |
Samia Shoukat | UET Lahore | Final Year Project |
Samika Kanekar | Penn State | machine learning, PET |
Samin Rahman Khan | Bangladesh University of Engineering and Technology | ML, MCI, AD |
samina akram | ucp | DTI, Alzheimer's disease ,DTI images |
SAMINA AKRAM | UCP | DTI |
samir yesli | mouloud mammeri university | denoising, MRI dataset |
samira aghaie | Shahid Beheshti university | DTI |
Samira Bouyagoub | Brighton and Sussex Medical School | dementia image processing |
Samira Jamalian | Genentech | Disease progression model |
samira sadeghi | azad univesity | Alzheimer, CNN,GAN, DT,DL,Medical |
Sammy Kimani | iNeuron.ai | train, detect, create |
SAMPA RANI BHADRA | ALIAH UNIVERSITY | FEATURE ENGINEERING |
SAMPA RANI BHADRA | ALIAH UNIVERSITY | FEATURE ENGINEERING |
sampada research | SIT | Harmonization |
Sampada Tavse | Symbiosis Institute of Technology | MRI, Brain images, GAN |
sampath rajaram | KCG COLLEGE OF TECHNOLOGY | Alzheimers, classification ,machine learning |
sampurna garg | thapar university | 123456 |
Samr Ali | Concordia University | machine learning, hidden markov models |
Samra Naz | University of Adelaide | Adni |
Samsuddin Ahmed | BANGABANDHU SHEIKH MUJIBUR RAHMAN DIGITAL UNIVERSITY, BANGLADESH | XAI, Deep Learning, Diagnosis |
Samuel Cahyawijaya | HKUST | deep neural network, alzheimer disease, sequence modeling |
Samuel Crerar | University of Hull | deep learning analysis prediction |
Samuel Davenport | University of Calfornia San Diego | Methods, Permutation, WMH |
Samuel Deslauriers-Gauthier | Inria | rotation invariants, diffusion MRI, Alzheimer's desease |
Samuel Dodson | UMass Lowell | machine learning |
Samuel Iddi | University of Ghana | Alzheimer's, Joint Models, Prediction, Statistical models |
Samuel JOUTARD | King's College London | Dynamic discovery Neural Networks |
Samuel Lockhart | University of California Berkeley | Tau, Amyloid, Aging, Preclinical Disease, White matter |
Samuel Maddox | University of East Anglia | Dementia, Machine learning. |
Samuel Maddox | University of East Anglia | Improving Diagnosis in Dementia Through Machine Learning of Brain Images |
Samuel Mathias | Boston Children's Hospital | cortical thickness |
Samuel OCEN | University of Nairobi | Alzheimer's Disease, Deep Neural Network, Brain Disorder's detection |
Samuel Warren | Western Sydney University | Alzheimer's Disease, Episodic Memory |
Samuel Zhang | Henan University | methylation |
Samuele Cancellieri | University of Verona | Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS |
Samuele Cannucci | University | CNN |
samuella degbey | Altran | image processing brain pathology |
Samyajoy Pal | LMU Munich | Clustering, Unsupervised Learning, EM Algorithm, Biomarker, Alzheimer’s Disease |
Samyam Aryal | SRM Institute of Science and Technology | Deep learning, Image enhancement, Filters |
Sana Aghapour | Tarbiat Modares University | Alzheimer's Disease, Deep Learning, CNN, MRI, PET |
Sana Hash | Shahid Beheshti University | Hi |
sanam alilou | Iran university of medical sciences, Tehran, Iran. | long non coding RNAs, Alzheimer |
Sanam Lalani | UCSF | temporal lobe epilepsy, MRI negative |
Sanatan Sahgal | LinkedPix | deep learning, AI, machine learning |
Sanatan Upmanyu | Home | drug repurposing |
Sanaz Dabiri | Howard University | Alpha-synuclein, inflammation, tau, AD |
Sanaz Mohammadjafari | Ryerson University | CNN, GAN, classification |
SANCHIT BANSAL | the university of hong kong | - |
Sanchita Kedia | Yale | deep learning |
Sandaru Nanayakkara | University of Kelaniya | Alzheimer's, FMRI, Deep learning |
Sandeep Angara | National Library of Medicine | Deep Learning, Medical Imaging |
Sandeep Ganji | Philips | ASL |
Sandeep Kagithalagudem | Liverpool John Moores University | MRI, hippocampus, image segmentation |
sandeep kumar | South Asian University | Machine learning |
Sandeep Suthar | SPIT | . |
Sandeep Vemulapalli | Corewell Health | Mild cognitive Impairment, Clinical notes |
Sandeep Vengala | Maharaja Vijayaram Gajapathi Raj College of engineering | MRI, fMRI, AD, MCI, HC |
Sander Land | N/A | kaggle |
Sandhitsu Das | University of Pennsylvania | hippocampus MCI |
sandhya prakash | ryerson university | deep learning, image classification |
Sandi Šalamon | Faculty of mathematics and physics | Neural Network |
Sandip Desai | YCCE | Brain tumor |
Sandip Kankal | Maharashtra Institute of Technology Aurangabad | Alzeimers disease detection |
Sandra Barral | Columbia University | GWAS plasma beta amyloid |
Sandra Black | Sunnybrook Research Institute | MRI Volumetry, Alzheimer disease progression |
Sandra Chocron | UT Health San Antonio | ceramide catabolism |
Sandra Loza | Alliant International University | COVID-19, anxiety |
Sandra Loza | Hoag Memorial Hospital Presbyterian | Late Retirement and Decline in Alzheimer’s disease (AD) |
Sandra Safo | University of Minnesota | Integrative analysis; Multi-view Learning; |
Sandra Saju | Manipal Academy of Higher Education | Joint Modelling |
Sandra Sanabria Bohorquez | Genentech | tau imaging, normal aging |
Sandra Wilson | medical university of South carolina | DTI |
Sandra-Ioana Jidoveanu | Politehnica of Bucharest | license, ML |
Sandro Gsteiger | F. Hoffmann-La Roche Ltd | disease progression, economic model, natural history model |
Sanduni Premaratne | University of Victoria | multi-modal image fusion, medical image fusion |
Sandy Leung | IBM | Demantia |
Saneesh Cleatus T | BMS Institute of Technology and Management | 3DCNN, Alzheimer's, Deep Learning |
Sang Kyu Cho | University of Houston - Houston, TX | prognostic factors |
Sang Le | Yuan Ze University | Alzheimer Disease |
sang soo cho | Seoul National University | BrainAge, machine learning, OCD, Shizophrenia |
Sang Won Jo | Hallym University Dongtan Sacred Heart Hospital | MR volumetry; Reproducibility; Normative percentile; FreeSurfer; NeuroQuant; Dee |
Sang Yeon Cho | Medical School of Chungnam University | Alzheimer’s disease, microglial phagocytosis |
Sang Yilin | Beijing Technology and Business University | DTI |
Sang-Won Han | Chuncheon Sacred Heart Hospital | Alzheimer’s disease, cognition, machine learning, microRNA, module, network |
Sangamesh Hiremath | Vidya Vardhaka College of Engineering | Alzheimer's disease, Deep Learning, CLAHE, Segmentation |
Sangeen Khan | COMSATS Institute of Information Technology | Brain Extraction, Image Registration |
Sangeetha Rajamani | Karpagam Academy of higher education | eywords: Patch-based grading fusion, multi-features, Alzheimer's disease classi |
Sangeetha Vishweswaraiah | Corewell health | Alzheimer's disease; DNA methylation; blood based data; idat files |
sangha ryu | Neurophet | R&D |
Sangharsha Thapa | State University of New York at Buffalo | Alzheimer disease |
Sangheon Jeong | Brandeis University | Image synthesis, Alzheimer's disease, Amyloid PET, T1w MRI, Deep learning |
Sanghoon Kim | Innoray | LRP |
Sangjee Park | Kangwon National University | automatic readouts, brain diagnosis, cerebral infarction |
Sangkeun Kim | Sogang univ | s |
Sanglap Biswas | IEM | Alzheimer |
Sangmi Kim | Syntekabio | SNV, genotype, AD, prediction |
Sangmin Lee | Deepnoid Inc. | deep learning |
Sangmin Park | seoul national university | mri structure |
Sangwon Lee | Severance hospital | PET, AI |
Sangwook Kim | Korea university | radiomics |
Sangyeol Kim | DGIST | Statistical analysis |
Sangyul Lee | Seoul National University | regression, manifold. |
SANI JOHN | COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY | Alzheimer's Disease, Multi modality |
Sanjana Gutta | Middle Tennessee State University | Clustering comparision |
Sanjana Nellutla | CSUF | Alzheimer's, Prediction |
Sanjana Ramesh | ST JOSEPHS COLLEGE | Deep learning, dementia, Alziehmers, AD, CNN |
SANJANA SUDARSHAN SHROFF | ST FRANCIS XAVIER UNIVERSITY | medical surveillance |
Sanjay Budhdeo | University College London / National Hospital for Neurology and Neurosurgery | molecular factors, connectivity |
Sanjay Nagaraj | Stony Brook University | Machine Learning, Alzheimers |
Sanjay Patil | ADCET | alzzheimers's detection |
Sanjeev Thukral | neurIOT USA Inc. | Machine Learning |
SANJIB GHOSH | Chittagong University | Image data analysis |
Sanjith T | Chennai Institute of Technology | OCTA |
Sanjori Mukherjee | The George Washington University | deep learning, mild cognitive impairment, alzheimer's disease, MRI |
Sanjoy Dey | IBM Research | AI |
Sankalp Sakpal | RAIT | Detection Software project |
sanm li | Wenzhou Research Institute of China Academy of Sciences | DeepLearning And Brain Aging |
Sansiddh Jain | Wadhwani AI | Alzheimer, Artificial Intelligence |
Sanskriti Gupta | NCU | FMRI, Alzheimer's Disease, Dee Learning |
Sanskriti Gupta | The NorthCap University | Machine learning, Deep learning, classification |
Sanskriti S | Sungkyunkwan University | longitudinal study, neural imaging, brain imaging |
Santhosh Madheswaran | Yuan Ze University | Alzhemier diseases |
Santhosh Madheswaran | Yuan Ze University | Alzhemier diseases |
Santhosh Prabakaran | Yuan Ze University | Deep learning,ADNI dataset, Convolutional neural network, Multimodal cnn |
Santi Bullich | Life Molecular Imaging GmbH | tau, PET, visual assessment |
Santiagi Orozco Alzate | Universidad de Caldas | Función |
Santiago Aja-Fernandez | Universidad de Valladolid | Diffusion MRI, anisotropy measures, robust estimation |
Santiago Alfredo Cutiller | Hospital Fernandez | FreeSurfer, Dementia,Volumetry |
Santiago Cabrera | Universidad Politecnica Salesana | red convolusional |
Santiago Clusella | Instituts Guirado | Alzheimer's disease - Biomarkers - Connectome |
Santiago Fernandez | Universidade da Coruña | segmentation, hippocampus |
Santiago Fernández | Universidad Politécnica de Madrid (UPM) | MRI Images |
Santiago Romero | Xaverian University | Brain RMI |
Santiago Smith Silva Rincón | National University of Colombia | Alzheimer's Disease, Prediction, MCI |
Santosh Nannuru | IIIT Hyderabad | GSP, signal processing |
Santosh Tripathy | VIT Bhopal University | Machine learning, Computer Vision |
Sanyou WU | City University of HongKong | region dection |
Saoussen gharsallah | ISIM Gabes | WMH, Segmentation |
Saoussen gharsallah | Enetcom | Deep Learning, Alzheimer, Hippocamps |
Sapir Golan | Sheba Medical Center | AD, IRAP, IDCD, Diabeties |
Sapna Mishra | IIT Delhi | Alzheimer, Mild Cognitive Impairment, Neuroimaging |
Saptarshi Saha | Indian Statistical Institute | Counterfactual Analysis |
Saqib Mamoon | Nanjing University of Science and Technology | causal discovery |
Sara Ahmadi-Abhari | Imperial College London | Genome, Metabolome, Neurodegeneration, Functional connectivity, Machine learning |
Sara Ahmadi-Abhari | Imperial College London | Genome, Metabolome, Neurodegeneration, Functional connectivity, Machine learning |
Sara Bagherieh | Isfahan University of Medical Sciences (MUI) | Alzheimer's disease, Radiological Markers, Disease Progression |
Sara Colantonio | National Research Council of Italy | Artificial Intelligence in Medical Imaging, Explainable AI, Causal Discovery |
Sara Dadjouy | University of Tehran | Alzheimer’s disease-Ensemble classification-MRI-Prediction-Searchligt |
Sara Early | University of Calgary | Machine learning, Alzheimer's Disease, Computer-Aided Diagnosis |
Sara Esam | Institute of Statistical Studies and research | Alzheimer’s Disease |
Sara Esam | Institute of Statistical Studies and research | Alzheimer’s Disease |
Sara Fernandez Rodriguez-Cabello | University of Salzburg | aging, longitudinal, WMH, AD |
Sara Ferreira | Univerdade de Coimbra | cognitive decline; aging; computational model |
Sara Gannon | Fujirebio Diagnostics, Inc. | Fujirebio, statistics, TBI, AD Biomarkers |
Sara Garbarino | Universite Cote d'Azure, Inria | misfolded proteins, dynamical system models, disease progression models |
Sara Garbarino | universita di genova | Ab-tau interaction models, machine learning, AI |
Sara Ghasemi | Amirkabir University of Technology | Elzheimers,wavelets,EEG |
Sara Gomes | UA | healthy ageing, volumetry, image biomarkers, brain, segmentation, |
Sara Greenfield | UC Davis | metabolites genome |
Sara Jordan | Future of Privacy Forum | age, ageism, machine learning bias |
Sara Lopez-Pintado | Northeastern University | data depth, functional data analysis, imaging data |
Sara MacPhail | Monash University | Alzheimer's Disease, Perivascular spaces. |
sara mirabian | mashhad university of medical science | image processing |
Sara Mirzavand Borujeni | Technical university of Berlin | LRP, transformers,pollution measurement |
Sara Momtazmanesh | Tehran University of Medical Sciences | NFL, PET, Alzheimer's disease |
Sara Monji Azad | Heidelberg University | Elastic Image Registration, Brain Images |
sara sayed | fayoum university | AD |
Sara Sedlar | Inria | white matter micro-structures; functional connectivity; structural connectivity |
sara shahzadeh | shahid beheshti university | alzheimer dti image |
Sara Stampacchia | École polytechnique fédérale de Lausanne (EPFL) | functional connectivity tau amyloid |
Sara Sweidan | benha university | MCI |
sara tassinari | Università Campus Bio-Medico di Roma | Joint fusion, Multimodal learning, classification, AI, deep learning |
Sara Teso Cuesta | Universidad de A Coruña | Alzheimer, fMRI, medical brain images, omics |
Sara Wade | University of Warwick | Dirichlet process mixture models; Semiparametric longitudinal data analysis |
Sarael Alcauter | Instituto de Neurobiología UNAM | sulcal width, Alzheimer, |
Sarah Ackley | UCSF | Alzheimers, Tau, Mathmatical Modeling |
Sarah Banks | UCSD | tau; alzheimer's; sex differences |
Sarah Bauermeister | University of Oxford | machine-learning; cognition; socioeconomic status; lifestyle; early-life |
Sarah Ben Slimene | Tunisia Polytechnic School | Machine learning, Computer Vision, Alzheimer's Medical Imaging |
Sarah Brueningk | ETH Zurich | Interpretability, machine learning, risk prediction |
Sarah Gregory | University of Edinburgh | Cortisol Diabetes HbA1c |
Sarah Hazem | Future University in Egypt | BSc thesis |
Sarah Keefe | Washington University in St. Louis School of Medicine | ADOPIC |
Sarah Kratz-Wang | Imperial College London | machine learning, brain matter segmentation, MRI |
Sarah Kunzler | University of Utah | Visualization |
Sarah Letang | The University of Alabama | preclinical, Alzheimer's disease, memory, neuropsychology |
Sarah Luck | Hardard university | Searching |
Sarah Martin | CAMH | DWI, DTI, Glymphatic system, ALPS |
Sarah Morgan | BIDMC, Harvard University | SNP prioritisation |
Sarah Moy de Vitry | Eidgenössische Technische Hochschule Zürich | Interpretable, prototype, time series, |
Sarah Pendergrass | GENENTECH, INC. | Alzheimer's, Genetic Epidemiology, |
Sarah Weatherspoon | University of South Carolina | student, undergraduate, statistics, research |
Sarah Weinstein | University of Pennsylvania (PhD Student) | dimension reduction, PCA, confounding, neuroimaging |
Sarah Wu | Johns Hopkins University | TADPOLE challenge |
Sarah Zheng | Shandong University | DTI functional data |
sarala naidu | Malardalen University | anomaly detection |
Saranya Duraisamy | Biogen | research & development, data analysis |
SARASWATHY GR | M S Ramaiah University of Applied Sciences | Computational, Alzheimer's disease |
Saraswati Sridhar | University of Puerto Rico at Mayaguez | Sensorimotor Data Fusion, Deep Learning, Neural Network, Alzheimer's Disease |
Sarath Vignesh A | ANNA UNIVERSITY | final year project, Alzheimer's disease severity classification |
SARAVANAN S | SASTRA | Alzheimer's disease |
Sarbani Palit | Indian Statistical instotute | Brain activity, atrophy, rate of growth |
Sardar Jahani | Hamadan University of Medical Sciences,Iran | Alzheimer’s disease,deep survival analysis,prediction of conversion |
Sari Hirata | The University of Tokyo | SNPs, Glymphatic System, Aquaporin, Tau |
SARITA GULIA | KRMU GURGAON | MATLAB, AD, ADNI |
Saroj Sahoo | Vanderbilt University | Super-Resolution, Compression, Error diagnosing |
Saruar Alam | University of Bergen | AD, IBS, Insula, Segmentation |
Sarvani Ambati | GITAM | Alzheimer, Early stage Dementia, prediction, CNN |
Sarwan Ali | Georgia State University | Alzheimer's disease detection, Deep learning, classification |
Sarwar Mozumder | Roche | dynamic prediction |
sarwat abbas | fast nuces lahore pakistan | alzheimer datamining |
Sascha Gill | University of Calgary | Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging, |
Sascha Lange | Siemens Healthineers | Abeta, Tau Assay |
Sasha Bonacina | University of Bristol | Alzehimer, multi-modality |
Sasha Cardozo | Kalinga Institute of Industrial Technology (KIIT) | Alzheimer's, Dementia, Cohorts, Image Processing, Transcriptomics, Biomarkers |
Sasha Hakhu | Arizona State University | diffusion MRI, AD, NODDI |
Sasha Layne | New York University | Alzheimers |
Sasidhar Manda | URvogelbio | AD |
Sasithradevi A | Vellore Institute of Technology | disease diagnosis |
Satabdi Sikder | Chittagong Independent University | DiagnosisAlzheimer's Disease |
SATARUPA BHATTACHARJEE | UC DAVIS | Analyze, Statistics |
Sateesh Ambesange | Pragyan SmartAI Technology LLP | Federated Learning, Data Privacy, Data Analytics, AI/ML,, Chronic Disease Diagno |
Satheshkumar Kaliyugarasan | Western Norway University of Applied Sciences | Deep learning, dementia |
Sathvik Appana | Einstein College of Medicine | CNN |
Sathyabhama B | Panimalar Engineering College | Brain diseases, prediction/detection |
Satish Chada | Pulmonary Services of North Texas | Machine Learning, Artificial Intelligence, MCI, AD, COPD |
Satish Pandey | IIT, Bombay | Neurological disease detection algorithm |
Satoshi Makino | Tohoku University | imputation, APOE |
Sattwika Banerjee | INSTITUTE OF NEUROSCIENCES KOLKATA | Alzheimers, Morphometric Analysis |
Saturnino Luz | The University of Edinburgh | Early detection, Machine Learning, Language, Cognitive Profiles |
Satvik Matta | Thomas Jefferson High School for Science and Technology | MRI, cognitive ability, Machine Learning |
Satwant Kumar | The University of Texas at Austin | MRI, Cognitive functions, MCI, AD |
Satwik Stp | BITS Pilani dubai campus | CNN , Xception , Resnet , RBM , Autoencoders |
Satwinder SIngh | Central University of Punjab | Neuro Image, Deep Learning, ROI, Feature extraction |
SATYA SAXENA | Eisai, Inc | Mass spectrometry, MRM peptides |
Satya Singh | Nanyang Technological University, singapore | brain aging, fMRI, DTI |
Satyajit Mahapatra | MIT Manipal | Alzheimer’s disease, CNN, Attention mechanism |
Satyam Gupta | Ajay Kumar Garg Engineering College Ghaziabad | neuroimaging |
satyam mishra | NIT calicut | MAR |
satyam pokharna | MIT ADT UNIVERSITY | research |
Saugesh Gurau | Western Sdyney University | LSTM, Alzheimer's |
Saumil Dhankar | Independent voluntary research for IEEE BDBC 2020 challenge | Diagnosis, Symptoms, Assessment, Cognitive, Demographics, Imaging, MR |
Saumil Patel | Ahmedabad University | Research |
Saumya Navneet | IGDTUW | MR, CT, Brain |
Saurabh Aggarwal | A*STAR | Progression, Disease Modelling |
Saurabh Bundela | Jabalpur University | Deep Learning, Image Analysis, Genetic and Proteomics biomakers |
Saurabh Kumar | Mahatma Gandhi Central University Bihar | Deep transfer learning, CNN, Classification |
Saurabh Maheshwari | Govt. Women Engineering College Ajmer | Brain Biometric |
Saurabh Shaw | McMaster University | fMRI resting state, concussion, control, network connectivity |
Saurabh Shigwan | Shiv Nadar University | DMRI, MRI, AD, MCI, EMCI, sparse measurement |
Saurabh Shinde | Government college of Engineering Aurangabad | ALzheimer, Convolution neural network , MRI scans |
Saurabh Sihag | University of Pennsylvania | Brain age, graph neural networks, structural MRI |
Saurabh Sihag | University of Pennsylvania | Brain age, graph neural networks, structural MRI |
Saurabh Varshneya | Technische Universtät Kaiserslautern | Multimodal, Interpretability, Anamoly Detection |
Saurav Jung Karkee | Blueberry Experts | data analysis |
Saurav Mallik | indian statistical institute | biomedical analysis |
Saurav Sharma | Akgec | Alzheimer's disease, Neuro, brain, MRI |
Saurav Singh | Vels Institute of science and technology | Alzheimer Diagnosis |
Savannah Wiersig | Hoag Pickup Family Neurosciences Institute | Alzheimer's disease, CSF tau, MMSE, MCI |
Savaş Okyay | ESOGU | classification, feature selection |
SAVITA DAHIYA | Galgotias University | Hippocampus, Alzheime's disease, region based, clustering |
Sayaka Tada | Fujita Health University | Alzheimer's |
SAYAN DAS | Vidyasagar College | MRI, Alzheimer, Machine Learning |
Sayan Ghosal | Johns Hopkins University | Imaging-Genetics, Graph Learning, TADPOLE, Alzheimer |
Sayang Elyiana Amiera Binti Helmey | University of Technology Malaysia | Alzheimer's Disease |
Sayantan Bhadra | Washington University in St. Louis | generative model, MRI |
Sayantan Kumar | Washington University in St. Louis | Alzheimer |
Sayed Ali Raza Shah Bukhari | Jamil ur Rahman Ceter for Genome Research | Mitochondrial Genomes, Alzheimers |
Sayed Sadat | sayedsadat | alzheimer's disease fmri machine learning |
Sayedhedayatollah Tadayon | Beth Israel Deaconess Medical Center, Harvard Med. | resting state fMRI, structural T1 MRI, PET, brain stimulation |
sayem khan | Bangladesh University of Professionals | ml |
Sayma Siddika | Southern Connecticut State University | deep learning |
Sazidul Isalm | Bangladesh Army University Of Engineering Technology | Early Detection of Alzheimer's Disease |
Scarlett Lin | National Cheng Kung University | Forecasting the progression of Alzheimer’s disease |
scorpion sosododo | nora | dcsssssssss |
Scott Ayton | University of Melbourne | CSF amyloid b, tau, heart rate, blood pressure |
Scott Gladstein | AbbVie | image analysis, machine learning, patient stratification, clinical trial design |
Scott Hebert | University of Massachusetts Amherst | Alzheimer's Disease, genome, phenome |
Scott Kersey | Georgia Southern University | Diagnostic, Cut-Off points, biomarkers |
Scott Lohr | Alkahest | AD, cognitive decline, therapuetics, plasma fractions |
Scott Neu | UCLA | anatomical point landmark, automation, svd, seed points |
Scott Neu | University of Southern California | APOE, hippocampus |
Scott Peltier | University of Michigan | machine learning, prediciton |
Scott Sloka | None | PET denoising |
Scott Sorg | UC San Diego | TBI, Diffusion Imaging, Variability |
scott xu | 西安交通大学 | study |
Scott Zimmerman | University of California San Francisco | selection, psychometrics, biomarkers, causal inference, transportability |
sd sd | sd | sd |
Sean Chakraborty | University of Houston | MRI, PET, MATLAB |
Sean Curtin | IAM | Alzheimers vs. Healthy Brain Research |
Sean Hatton | UCSD | MRI, data harmonization |
Sean Holmes | Invicro, LLC | Amyloid, ADNI, DICOM, Tau |
Sean Hong | NKGen Biotech | Alzheimer's Disease, Biomarkers, neuroinflammation |
Sean Jacobs | Eisai, Inc. | Prototype |
Sean James Miller | Pluripotent Diagnostics LLC | Alzheimer's disease, PET Imaging, MRI imaging |
Sean McCabe | Indiana University School of Medicine | Integrative analysis, genomics, high dimensional data |
Sean McGrath | Harvard University | deep learning, medical imaging, Alzheimer's disease |
Sebastian Klug | Medical University of Vienna | glucose metabolism, functional connectivity, metabolic connectivity mapping |
Sebastian Langan | University of Maryland, College Park | EEG, Alzheimer's Disease, Classification Algorithms, Python Application |
Sebastian Luca D'Addario | Fondazione Santa Lucia | Machine Learning |
Sebastian Markett | Humboldt Universität zu Berlin | connectome; multimodal imaging; network neuroscience; network topology |
Sebastian Niehaus | AICURA medical GmbH | Deep Learning, Transfer Learning, Multimodal data |
Sebastian Palmqvist | Clinical Memory Research Unit, Lund University | Descriptive data |
Sebastian Quiñones | Universidad Autónoma de Manizales | artificial intelligence and Alzheimer |
Sebastian Rasmussen | University of Copenhagen | Biomarkers, blood, Alzheimer's, lipid |
Sebastiano Vacca | Università degli Studi di Cagliari | fMRI |
Sebastien Boyer | Basel University | Disease progression, ADAS-cog |
Sébastien Dam | INRIA | classification; graph convolutional networks; graph signal processing; |
Sébastien Rettie | University College London | Hidden Markov Models, Conditional Random Fields,Recurrent Neural Networks |
secret secret | Donghua University | Alzheimer's disease |
Seema Bartwal | Defence Institute of Advanced Technology | DL, Attention mechanism |
Seema Bhat | Dayananda sagar | DWI, b=1000 images |
Seema Shet | University of California Berkeley | MRI data |
Seeun Jo | POSTECH | Personalized model, Statistical model, Model tree |
Sehun Chun | Yonsei University | White matter tractography |
SeHwa Chung | Korea University | machine learnin |
sehyoung Cheong | POSTECH | AD, connectivity |
Seif Ben Bader | Octilium | Dementia, continous monitoring of elderly people, advanced early warning systems |
Seigfred Prado | University of Santo Tomas | Alzheimer's disease, mild cognitive impairment, EEG, early prediction, biomarker |
Sein Kim | KAIST | Alzheimer disease, prediction, ML |
Seina Yoshida | Juntendo University | Alzheimer’s disease, diffusion tensor imaging, diffusion kurtosis imaging |
Seitaro Baba | Kyushu Institute of Technology | dementia, Classification, image registration |
Sejin Park | Vuno Inc. | Deep Learning, AD/MCI CADe |
Sejin Park | Gwangju Institute of Science and Technology | AD |
Sekhar BVDS | S R K R ENGG COLLEGE | alzheimer, Artificial network, Data scirnce |
Selahattin Barış ÇELEBİ | Batman University | computer aided diagnosis, convolutional neural networks; deep learning; image cl |
selam work | bahirdar university | alzheimer |
Selamawet Workalemahu Atnafu | university of Bologna | Neurological disorder, Machine Learning, Alzheimer |
Selen Erkan | LMU | disease diagnostic, longitudinal data, image data |
selene copal | Avans | Alzheimer |
Selene Tomassini | Università Politecnica delle Marche | biomedical images, brain MRI images, deep learning, research |
Selim Aksoy | Bilkent University | MRI, PET analysis |
Selim Başpınar | Eskısehir technical university | alzheimer |
Selim Buyrukoğlu | Çankırı Karatekin University | Artificial Intelligence, Machine Learning, Deep Learning, Prediction Tool |
Sellab Ahmadzai | Mountain House High School | Alzheimer's, MRI, AI, Intervention |
SELVAN C | REVA University | Genomic, machine learning, medical data |
Sema Candemir | The Ohio State University Wexner Medical Center | computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P |
SEN GUO | Juntendo University | MRI, AD, PVS,Glymphatic System, |
Sen Lin | Huaqiao University | research,artificial intelligence,predict or assist in diagnosis |
Sen Wan | China | AD, deep learning, memory |
sen zhang | usst | Alzheimer's disease |
SENA YILMAZ | TÜRASAŞ | deep learning |
Senan Doyle | Pixyl | PET, MRI, AI, Deep Learning |
Sengul DOGAN | Firat University | Biomedical Signal Processing, Machine Learning |
SENTHAMARAI KANNAN S | JAIN UNIVERSITY | DATA ANALYSIS, RISK FACTORS, ALZHEMIER |
Senuri De Silva | University of Moratuwa | machine learning MRI fMRI PET |
Senyu Zhou | SCNU | Lateralization;rs-fMRI |
Seo Beomjin | Kyunghee University | DCSRN , MRI BRAIN image , super image resolution |
Seo Hyeon Lee | California Polytechnic State University, SLO | senior project, detecting alzheimer's disease |
Seo-Eun Choi | University of Washington | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
seoa kim | none | Alzheimer’s |
Seon-Jin Yoon | Yonsei University | air pollution, exposure, alzheimer's disease |
Seong A Shin | Hanyang University | rsfMRI; dynamic functional network |
seong gyu kim | cna | rsfMRI |
Seong Ho Jeong | Inje University Sanggye Paik Hospital | Alzheimer’s disease; amyloid; occipital lobe; cognition; prognosis |
Seong Jae Hwang | University of Wisconsin-Madison | longitudinal, connectivity, amyloid, deep learning, uncertainty estimation |
Seong Tae Kim | TU Munich | longitudinal analysis |
Seongbeom Park | Samsung Medical Center | PET, amyloid, Tau, thickness, SUVR |
Seongbin Koh | Florida State University | TGAT, Deep Learning |
Seongbin Park | pusan national university | tractography |
Seonghoon Lee | Innopeutics Corporation | Alzheimer's Disease, Transcription factor, ROR, RXR |
seongjin ji | chungnam national university | fMRI, dementia |
Seonguk Kim | DePauw University | Deep Learning, ADNI |
seongyeon park | Chungnam National University | dementia |
Seonhye Jeong | Gwangju Institute of Science and Technology | beta-amyloid, Tau, Alzheimer |
Seonhye Jeong | Gwangju Institute of Science and Technology | beta-amyloid, Tau, Alzheimer |
Seonjeong Byun | Uijeongbu St Mary's Hospital College of Medicine, The Catholic University | texture, functional connectivity, mild cognitive impairment, progression |
seonjoo lee | columbia university | longitudinal data analysis |
Seoyeon Hong | University of Washington | Deep Learning |
Seoyeon Lim | Sookmyung Women's University | amyloid beta, AD, cognitive test |
Sepand Ali Madad Soltani | K.N. Toosi University of Technology | Machine Learning, Deep learning, Neural networks, Alzheimer's detection |
sepanta Hosseinpour | University of Bolton | classification Alzheimer' Disease |
sepanta Hosseinpour | University of Bolton | classification Alzheimer' Disease |
Sepehr Golrizkhatami | Fraunhofer Institute | Event-based modeling, mechanism validation |
Sepehr Saryazdi | University of Sydney | spatiotemporal methods, phase maps, vortices |
Sepideh Heydari | University of Victoria | superager, mci, cognitive impairment |
sepideh shokouhi | Vanderbilt University | PET, MRI |
Septian Hartono | Singapore General Hospital | MRI, volumetry |
Seraphina Solders | University of California, San Diego | cortical thickness, diffusion tractography |
Serdar Alasu | Inonu University | Semantic Segmentation, Adversarial Learninng |
Serdar Bozdag | University of North Texas | machine learning, data mining |
Serena Lo | University of Aberdeen | Learning Effects, AD, MCI, ADAS-COG, MMSE |
Serena McCalla | Jericho High School | Alzheimer's Disease, menopause, GWAS, sex-specific contributors |
Serena Tang | UCSF | perivascular space, deep learning, glymphatic system |
Serena Verdi | UCL | dementia, heterogeneity, neuroanatomical, normative |
Serge Gauthier | McGill University | Imaging, Alzheimer's Disease, Brain Connectivity |
Sergei Fomenko | Msu | DTI, DTI-ALPS, Alzheimer |
Sergei Troshin | Skoltech | Mathematical Modelling, DOT, CDR-SOB |
Sergey Belavin | Saint Petersburg University | Classification. Machine learning. |
Sergey Shcherbinin | Eli Lilly and Company | PET MR |
Sergio Becerra | Synaptecnetwork/UCLA | ASL, fMRI, Longitudinal |
Sergio Eduardo Vega Guzmán | Instituto Tecnológico y de Estudios Superiores de Monterrey | Artificial Intelligence, Dementia, Alzheimers, Machine Learning |
Sergio Iadevaia | Takeda Pharmaceuticals | QSP, ML, disease progression, mathematical modeling |
Sergio Morell | UPV | UCL, Team Coders, Bioscience IDEAS |
Sergio Sanchez Santiesteban | University of Surrey | 3D classification, deep learning |
Sergio Schnaider | University of St. Andrews | neuro imaging; alzheimer; machine lerarning |
Sergio Solís | Universidad de Costa Rica | DTI, tractography |
Serguei Bakhteiarov | Biogen | Alzheimer, amyloid, tau |
Serkan Savaş | Çankırı Karatekin University | deep learning, classification, machine learning, artifical intellingence |
Sermkiat Lolak | Taksin Hospital | Machine learning, DeepLearning |
Sessi Shan | 山东科技大学 | hippocampal segmentation |
Seth Austin Harding | Reliance Biosciences | artificial intelligence in dementia alzheimer's treatment therapy AD score |
Seth Boren | UTHEALTH | DTI, ASL, 3D-T1w |
Setti Suneel Pradeep | Student of Delhi Technological University | Alzheimer's |
seung hwan Ryu | fastcampus | Deep-learning |
seung hyun Hwang | Severance Hospital, South Korea | Deep learning, Machine Learning, Early detection |
Seung Kwan Kang | Seoul National University | Alzheimer's disease, PET, MRI |
Seung Kyu Kim | Pusan National University | AD |
Seung Min Park | New York University | machine learning data imputation |
Seung Park | Korea University | Deep learning |
Seung Sik Yoo | Chungbuk National Universitiy | depression, AD |
Seung Won Lim | Yonsei Severance | PET, amyloid |
Seung Yeon Jeong | KONYANG UNIVERSITY | deep-learnig, Graduation thesis |
Seungah Lee | Kangwon National University | classification research |
Seunggeun Lee | Seoul National University | Imaging genetics, Integrative analysis, multiview |
Seunghoon Lee | Mongji hospital | ethnicity, diversity, neuroimaging, biomarker |
Seunghyeon Han | GIST | Classification |
SEUNGJUN LEE | Chonnam univercity | 데이터분석 |
SeungLi Yoo | Hankuk University of Foreign Studies | paper review, data for the code |
Seungwan Hong | Seoul National University Hospital | Deep Learning, AD, ML, ViT |
Seungwon Yu | hanyang university | conputer vision |
Seungwoo Lee | SKKU | deep learning |
SeungYeon Lee | DongA | DL |
Seungyeon Son | Hanyang University | DTI; Graph Neural Network; Alzheimer's disease |
Seungyu Kim | Yonsei University | suvr |
Sevda Zeinali | Tehran university of medical sciences | AD, MCI, fMRI, PET, amyloid β, biomarkers |
Seven Seven | 无 | 无 |
Sevil Smailova | UCU | Cognitive impairment, Machine Learning, Neuroscience, Dementia |
Sevilay AYYILDIZ | Kocaeli University | Alzheimer Disese's, healthy elder, connecitivity |
Sevki Sahin | Maltepe University, Medical Fakulty | Alzheimer's, MCI, SMC |
ŞEVVAL İLHAN | Karabuk University | thesis project |
Sewar Omari | Tel aviv university | analysis |
Seyed Ali Sadegh-Zadeh | Staffordshire University | computational modelling, Early detection, AD |
Seyed Amir Arjmand | university of Tabriz | Alzheimer's disease |
seyed amirabbas shahidi marnani | Isfahan University of Medical Sciences | ad |
Seyed Ehsan Saffari | National University of Singapore | Biomarkers; Cognitive outcomes; discrimination analysis; decision tree |
Seyed Farzad Maroufi | Tehran University of Medical Sciences | Neurosurgery, CP angle |
Seyed Hani Hojjati | University of Tennessee Health science Center | Alzheimer's disease, PET, sMRI, DTI , Neuropsychological tests |
Seyed Hani Hojjati | Weill Cornell Medicine | Tau Amyloid Age PET |
Seyed Moeen Tayebi | Amirkabir University of Technology | Alzheimer's Disease diagnosis, MRI, PET, 3D GAN, GTN |
Seyed Mohammad Amin Alavi | Ahvaz Jundishapur University of Medical Sciences | Tensor-based Morphometry; Alzheimer's disease; Magnetic Resonance Imaging |
Seyed Morteza Mirjebreili | Institute for Cognitive Science Studies | Alzheimer's disease - AI - Machine learning - Cognitive Science |
Seyed-Ahmad Ahmadi | Technical University Munich | multimodal, multi-omics, fusion, deep learning, MONAI |
Seyed-Ali Sadegh-Zadeh | Staffordshire University | Machine Learning, Alzheimer's Disease |
Seyede Mahsa Dibaji | University of Calgary | Machine Learning, Fairness, Bias, Biological sex |
seyede maryam hosseini | K.N. Toosi University of Technology, Tehran, Iran | Alzheimer's disease; deep learning |
seyedeh Niloufar Rafiei Alavi | Iran University of medical sciences | Alzheimer's tau amyloid beta micro RNA |
Seyedemad Zolhavarieh | Sharif University of Technology | Alzheimer's Disease,Neuroimaging,Cognative Neuroscience,Deep Learning |
Şeyma Karaca | Muğla Sıtkı Koçman Üniversitesi | Hayat123.. |
Seymour Lopez | University college london | T1W MRI, DTI, genotype |
Seyul Kwak | Seoul National University | Brain age, predictive modeling |
Seyyed Mohammad Hassan Haddad | University of Western Ontario | Resting-state fMRI, Amyloid PET, Brain Activity |
sezin ayvaz | tazi.ai | classification, use-case |
SF Qian | ZJU | healthy control; FDG PET |
SG MU | 曲阜师范大学 | Academic Research |
SG SG | Thapar | App development |
Sha-sha Sun | Chinese PLA General Hospital | cognitive impairment |
Shaban Satti | Bahria University | Stochastic Differential Equations, Data Augmentation |
Shabana Ziyad | Prince Sattam bin Abdulaziz University | Alzheimer's, Feature Extraction, Classification |
Shabbir Ahmed Shuvo | University of Rostock | Deep learning, early detection |
Shabbir Ahmed Shuvo | University of Rostock | SSL, Deep learning |
Shabina Shaikh | Indian Institute of Technology | Structral MRI, Functional MRI, MCI, AD, NC |
Shachar Moskovich | Hebrew University in Jerusalem | qMRI, slopes |
Shada Almarghalani | King Abdulaziz University | Machine learning, Classification, Alzheimer's Disease, Risk Factors |
Shadab Alam | jazan university | Deep Belief Network; Machine Learning; Healthcare; Disease Detection; Alzheimer; |
Shadrokh Samavi | Seattle University | teaching, example, machine learning |
Shael Brown | McGill | Connectome harmonics, Manifold learning |
Shafayat Tazoar | Rajshahi University of Engineering & Technology | Thesis |
Shafin Mahmood | Chittagong university of Engineering and Technology | Support vector machine, Mild cognitive impairment,MMSE |
Shaghayegh Harbi | - | Genomic RNASeq |
Shaghayegh Karami | Tehran University of medical sciences | Cortical atrophy ,astrocyte biomarker, mild cognitive impairment |
Shaghayegh Mousavi | Golestan university of medical science | Alzheimer's disease, MCIs (MCI stable), MCIc (MCI converted), sMRI |
Shaghayegh Sadeghi | Alzahra University | computer science |
Shagun Sharma | Chitakara University, Punjab, India | Deep learning, Alzhiemer, Disease, Prediction, Neural Networks |
Shah Faisal | Hazara University Battagram Campus Pakistan | project |
Shah Muhammad Hamdi | New Mexico State University | resting-state function networks; graph neural networks |
Shahab Ansari | GIKI | automatic brain segmentation, Alzheimer's disease, machine learning |
Shahab Tahzeeb | NED University of Engineering & Technology, Karachi | Predictive Model, Machine Learning, Genetic Marker, Alzheimer Disease |
Shahab Zare | Allameh tabataba'i University | sleep, working memory, cognition, machine learning |
shahad ali | Technical College of Management | MRI dataset |
Shahar Pery | Hebrew University of Jerusalem | Alzheimer's disease, machine learning, resting-state fMRI |
shahed salehzehi | Islamic azad university of mashhad | biomedical Image processing, Alzheimer disease |
Shaheim Ogbomo-Harmitt | King's College London | Deep learning, Neural Networks, MRI, Brain, Alzheimer's |
Shahid Mehmood | Riphah International University, Lahore, Campus. | CNN, Deep Learning, Image Processing |
Shahid Zikria | https://kfueit.edu.pk/ | Alzheimer's disease, Datasets, MRI |
Shahla Azizi | University of New Brunswick | MCI, Alzheimer, machine learning |
Shahnaz Miri | University of Miami | PET, AD |
Shahram Najam Syed | LetScript | MRI, Neural Network, C3D, 3D CNN, Graph Convolutional Neural Networks |
Shahram Rahimian | Lisbon University | Alzheimer, machine learning, deep learning, artificial intelligence |
Shahriar Faghani | Tehran university of Medical science | MCI-CN-fMRI-Machine learning-Deep learning |
Shahriar Noroozizadeh | Carnegie Mellon University | machine learning |
shahryar pajavand | Shahid Beheshti University of Medical Sciences | TBSS-DTI-fMRI-Alzheimer's disease-dementia- beta amyloid-neurofibrillary tangles |
Shahrzad Moinian | The University of Queensland | machine learning, PET-MR data fusion |
Shahzad Abbas | bzu | research |
Shahzad Ahmad Qureshi | Pakistan Institute of Engineering and Applied Sciences | Medical Image Processing, Machine learning, Deep learning |
Shahzad Ali | Alma Mater Studiorum - Università di Bologna | pattern recognition, Alzheimer's disease, Neurodegeneration, Biomarkers |
Shahzanani Syamimi Senin | Universiti Putra Malaysia | Alzheimer detection system, deep learning algorithm |
shaiball barua | chittagong university of engineering and technology | research,image |
SHAIK BASHEERA | ACHARYA NAGARJUNA UNIVERSITY | Alzheimer’s disease, Deep learning, Classification, Gray matter, Enhanced ICA |
Shaika Chowdhury | Mayo Clinic (SSO) | large language model, prediction, fine-tuning |
Shaila Berlas | University of Pennsylvania | Data management |
Shaista Hussain | Institute of High Performance Computing | Deep learning |
Shakeeb Ahmad | Indiana University | Alzheimer's Disease, Cerebral Amyloid Angiopathy |
Shakeel Mohamed | Informatics Institute of Technology, Sri Lanka | CNN, NLP, Machine Learning, Alzheimer's Disease |
Shaker El-Sappagh | Inha University | Deep learning, machine learning, progression detection |
Shakhawat Shanin | Daffodil International University | Research |
Shakil Mahmud Shuvo | RUET | Work on research |
shakila shojaei | Tarbiat Modares University | deep-learning |
Shalaila Haas | Icahn School of Medicine at Mount Sinai | sMRI, cognition, neurosignaure, schizophrenia |
Shalika Weerasinghe | University Of Colombo | Alzheimer's disease,convolutional neural network,early diagnosis |
Shallu Sharma | NBRC | AD CN MCI |
Shalmali Walimbe | IUPUI | genentech, kaggle |
shambhavi vats | Amity | Brain-Computer Interface (BCI) technology for the diagnosis of Alzheimer's Disea |
Shameek Biswas | Bristol Myers Squibb | genetics, imaging, biomarkers, cognitive decline |
shamik tiwari | UPES | Alzheimer, classification |
Shamika Majmudar | San Jose State University | Glutathione, single nucleotide polymorphisms |
Shamima Akter | George mason University | Deep learning |
Shamita Dutta gupta | Pace U | Ordinal logit model, general linear model |
Shamitha S Attur | Amrita Vishwa Vidyapeetham | Medical diagnosis, Fuzzy classifier, Machine Learning, Alzheimer's Disease |
Shamnida Machinath Valappil | Cusat | MRI,PET |
Shan An | Beihang University | classification |
Shan Cong | Harbin Engineering University | Structural MRI analysis, genetic analysis, multi-omics, AD |
Shan Huang | Shanxi medical university | LIVER FUNCTION, BIOMARKERS, AD |
Shan Huang | Shanghai Jiao Tong University | mri reconstrution |
Shan Jin | Jinlin university | Alzheimer’s disease. fMRI. deep learning |
Shan Liu | MCBI inc. | biomarker |
Shan Tian | Beihang University | MRI images, source code test |
Shan Wei | The First Affiliated Hospital of Xi’an Jiaotong University | Alzheimer Disease |
Shan xingjie | beijing jiaotong university | medical diagnosis |
Shan Yikang | University of Science and Technology Beijing | the virtual brain |
Shan Yu | Iowa State University | survival analysis, MCI, image analysis, functional linear model |
Shan Yu | University of Virginia | Statistical Modeling; Longitudinal data analysis; Positron Emission Tomography |
Shan Zhang | Michigan State University | Genetic, Brain Image |
Shan Zhang | Northeastern University | I'm sorry there are no suggestions. |
Shan Zhuang | Longkou People's Hospital | risk prediction model,predictive tool,Alzheimer’s disease |
Shana Stites | UPenn | amyloid, preclinical Alzheimer's |
Shanbin Zhang | Beihang University | MRI Alzhemier |
Shancheng Bao | TAMU | MRI, Ultrasound |
Shane Noonan | Biocloinica | T1 Brain MRI |
Shane O'Connell | NUI Galway, Ireland | Convolutional neural network, genetics, machine learning |
Shane Taylor | University of Kansas Health System | POC |
Shanel Stewart | Georgia Institute of Technology | CSF, phosphorylated tau, frontal and temporal lobe, algorithms |
Shaney Flores | Washington University in St. Louis | DIAN, harmonization, WUSTL |
shanf miao | ShangHai University | wai62039 |
shang dongxu | Anhui University | 15634060092 |
Shang Guocan | South Central University For Nationalities | Image Segmentation, Image Landmark Extraction |
Shang Li | National University of Singapore | centred subgraph count statistics |
shang zhao | USTC | 3D reconstruction |
Shangchen Song | University of Florida | Dementia; Survival Analysis; Mortality; Machine Learning |
Shangyu Cai | Szu University | AD FMRI |
Shangyu Lai | Guangdong Key Lab of Cyber Physics System | GAN Alzheimer |
Shankar Tumati | University of Ottawa | Apathy; fMRI |
shanker Nagalingam | Aalim muhammed salegh college of engineering | image enhancment |
Shanlin Sun | University of California, Irvine | cortex reconstruction; neural fields |
Shanmukh Alle | IIIT Hyderabad | Machine Learning, Disease diagnosis |
Shanmukha Anurag Sajja | VNR VJIET | Dementia , Care taking sevices , Data Analysis |
Shanna Trenaman | Dalhousie University | anticholinergic medication, dementia, frailty, sex, gender |
Shannon Alptekin | Stony Brook University | machine learning, clinical research, Alzheimer's Disease, pathophysiology |
Shannon Drouin | University of Alberta | Biomarkers, hippocampal atrophy, trajectories, memory resilience, ML |
Shannon Macauley | Wake Forest School of Medicine | glucose, glucose tolerance, amyloid, CDR, tau |
Shannon Risacher | Indiana University School of Medicine | Neuroimaging, co-morbidities, medication, cognition, genetics |
Shannon Walston | Osaka City University | Alzheimers, MRI, PETCT, Artificial intelligence |
Shanshan Chen | the Affiliated Brain Hospital of Nanjing Medical University, Nanjing | Alzheimer's disease;Mild cognitive impairment;Subjective cognitive decline |
shanshan he | jilinunivercity | soft |
Shanshan SONG | The Chinese university of Hong Kong | block missing; high-dimensional inference; semi-supervised learning |
Shanshan Tang | Northeastern University | machine learning; multitask learning; linear regression |
ShanShan Tong | AnHui University | segmentation |
Shanshan Wang | Taizhou Hospital of Zhejiang Province, Taizhou Enze Medical Center | Alzheimer's Disease; CSF; Blood |
Shanshan Wang | UCSD | APPKI mice, biomarker |
Shantanu Chandra | ZS | digital twin, synthetic data generation |
shanyu liu | chengdu university of traditional Chinese medicine | MCI ; AD |
Shanyuan Tan | the First Affiliated Hospital of Jinan University | MRI image; deep learning;feature extraction |
Shanyuan Tan | the First Affiliated Hospital of Jinan University | MRI image; deep learning;feature extraction |
Shao Weihang | Tsinghua University | ADNI |
shao wenky | Nanjing University | p-Tau |
SHAOBO CHEN | Jinan University | colorization;regions segmention;unsupervised learning |
Shaobo Liang | Wuhan University | RNA splicing |
Shaodong Ding | Beihang University | domain adaptation |
Shaodong Ma | Cixi Institute of Biomedical Engineering(CIBE) | joint brain-eye study, neurodegenerative changes in AD,deep learning |
Shaohua Qi | Houston Methodist | X/Y chromosome, sexual dimorphism, gender difference |
shaohui zhang | The First Affiliated Hospital of Shantou University Medical College | clinical data |
Shaojiong Zhou | Xanwu Hospital, Capital Medical University | cognitive impairment; dementia; Alzheimer's disease |
Shaojun Li | East China University of Science and Technoloy | copula modeling |
SHAOJUN TANG | Hong Kong University of Science and Technology | AD, multi-omics |
Shaojun Yu | Emory University | deep learning, brain development, genetics |
shaoli han | Evomics Medical Ltd | SUVR |
shaoli zhao | Institute of Genetics and Developmental Biology | deep learning; medical image processing |
Shaopei Ma | Renmin University of China | principal component analysis, functional data, multivariate data |
Shaopei Ma | Renmin University of China | functional data analysis; image; censored data |
Shaowu Cheng | Hunan University of Chinese Medicine | Alzheimer's disease |
Shaoxun Xu | Tongji University | medical image analysis |
Shaoyan Pan | Emory University | Image translation |
Sharan Shyamsundar | NMIMS | Multivariate analysis, project, neuroscience, data |
Sharayu R SIDDHANTI | JSS-STU(SJCE) | CSF, Biomarkers |
sharda salunkhe | Sharad Institute of Technology College of Engineering,Yadrav,IChalkranji | KNN,RF |
Shariat Mushahid | National University Of Computer Science | Alzheimer , machine learning |
Sharlee Climer | University of Missouri - St. Louis | Alzheimer disease, combinatorial optimization |
Sharlene Leong | Howard University | depression, African Americans, mild cognitive impairment, neuropsychology |
Sharlene Newman | Alabama Life Research Institute | stress, race, AD, hippocampal volume |
Sharmistha Guha | TAMU | statistics |
Sharna Jamadar | Monash University | parenthood, cortical thickness, connectivity |
Sharon Haimov | Technion | MRI, AD, MCI, T1 |
Sharon Huang | Stanford Linear Accelerator Center | Stanford, AD, Machine learning, Bayesian Statistics |
Sharon Lam | Albert Einstein College of Medicine | Alzheimer's disease, white matter hyperintensities, ATN biomarker profiles |
Sharon Ong | Tilburg University | students |
Sharon Peled | Novartis | MRI PET |
sharvari gujja | Wuxi NextCODE | machine learning, deep learning, genetic drivers |
Shasha Wang | Sichuan University | DL,AD,predict |
Shashank Prasad | Viswakarma Institute of Technology, Pune | Alzheimer's, Classification, Convolution Neural Network, AI |
Shashank Vadlamani | University of Utah | Functional connectivity MRI, ICA, Bayesian |
SHASHI MOURYA | MGM | 1234 |
SHASHIDHAR YAKKUNDI | National institute of technology,calicut | NITC |
shashikumar madihalli byrappa | National College of Ireland | Machine learning |
Shashwat Drolia | IIT Kharagpur | Deep Learning, Recurrent Neural Networks (RNN) |
Shashwat Prratik | University Of Surrey | Vision Transformer (ViT) |
Shatroopa Saxena | Indian Institute of Technology Kanpur, Uttar Pradesh, India | Neurodegenerative diseases |
shau ming tseng | Taiwan, National Cheng Kung University | registration |
Shaun Baldacchino | University of Malta | Alzheimer's Disease |
Shawkh Ibne Rashid | Ontario Tech university | Super Resolution, GAN, MRI, 3D Image |
Shawn Eagle | University of Pittsburgh | TBI; asymmetry; neuroquant; MRI; volume |
Shawn Fan | Rice University | TADPOLE |
Shayan Kolahkaj | Mashhad University of Medical Science (MUMS) | alzheimer's CNN AlexNet fMRI ADNI |
shayan razmi | University of British Columbia | Alzheimer's disease, CNN networks |
Shayan Shahrokhi | University of Calgary | MRI translation, Deep learning, Multimodal |
Shayan Zamani | Tehran university of medical sciences | Neuroimaging - alzheimer disease -rs MRI |
shayez karim | Central University of South Bihar | AD |
Shaymah Akram Yasear | Al-Mustaqbal University College | Alzheimer, diagnosis, MRI images, Artificial neutral network |
Shayne Lin | University of Colorado Colorado Springs | Reliable Change Index, tensor-based morphometry, longitudinal study |
Shea Andrews | Icahn School of Medicine at Mount Sinai | Alzheimer's disease; mitochondria; genetic variation |
Sheeja Mary | Mar Ephraem | Alzheimer |
Sheena Baratono | Beth Israel Deaconess Medical Center | apraxia |
Sheena Waters | Queen Mary, University of London | neuroimaging, dementia, diagnosis, machine learning |
sheetal sonawane | UNIVERSITY OF SANDIP | Machine learning |
Shefali Chaudhary | Yale School of Medicine | Alzheimer's disease, apathy, imaging |
Sheidu Tenuche | Ahmadu Bello University, Zaria | classification, feature selection, metaheuristic |
Sheikh Saifur Rahman Jony | Bangladesh University of Engineering & Technology | Alzheimer |
Sheila Galbreath | Wright State University | TBI, skull, soft tissue, brain |
Sheina Emrani | Brown University | AD biomarker, proteomics |
Shekha Desai | Vishwakarma Government engineering college | Early detection of AD, ML approach for AD diagnosis |
shekhar chander | NIT Arunachal Pradesh | deep learning,Alzheimer, Machine learning |
Shellie-Anne Levy | University of Florida | Dementia; Older Adults; Metabolic Syndrome |
shen baishan | Northeast normal university | ** |
shen hua | National Tsinghua University | registration of CT and PET image |
Shen Jiahao | The First Affiliation Hospital of Zhejiang Chinese Medical University | shenjiahao520 |
shen tingting | hunan normal university | no |
shen xiongri | shenzhen university | fmri |
shenchangsong shenchangsong | Hainan Normal University | 5728156290 |
Shenda Hong | Peking University | deep learning, causal inference |
Sheng Hu | Anhui University of Chinese Medicine | AI |
Sheng Liu | NYU | Alzheimer's detection, deep learning |
sheng Luo | Hunan Normal University | Deep learning, neural network |
sheng shi | jd | DISEASE DETECTION |
sheng WANG | Huazhong University of Science and technology | landmark localization |
Sheng XU | The Hong Kong Polytechnic University | functional data analysis, heteroscedasticity, variable selection |
Sheng Xu | Shanghai Jiao Tong University | Atlas building, Diffeomorphic Registration |
Sheng Yuhang | beijing institute of technology | AD, brain image |
Sheng Zhang | Zhejiang Provincial People's Hospital | Cognitive repairment, cerebral small vessel disease, glymphatic system |
Sheng-Chieh Chiu | The University of Alabama at Birmingham | FreeSurfer segmentation |
Sheng-Yang Goh | UCSF | frontotemporal dementia |
Shengbin Liang | University of Saint Joseph | AD, AI, neural network |
Shengbo Zhang | Central South University | diagnosis,prognosis judgment of tumors,deep learning |
Shengchang Shan | Changzhuo University | Medical Image Analysis |
Shengchao Huang | Nanjing University of Aeronautics and Astronautics | Alzheimer;Transfer Learning |
shengchong chen | Zhejiang University School of Medicine | cerebral small vessel diseases |
Shengfeng Deng | The Fifth Affiliated Hospital of Sun Yat-sen University | Alzheimer's disease |
Shenghuan Sun | UCSF | imaging genetics |
Shengjie Liu | University of Southern California | brain age estimation |
shengjie Tang | ShanghaiTech University | MRI |
Shengjie Zhang | Fudan University | deep learning; science research |
SHENGLEI FANG | Cardiff University | Alzheimer, PET |
Shengpeng Yang | Zhejiang Normal university | Computer Science&Deep learning |
Shengqi You | Nanjing Drum Tower hospital | Neuroimaging,AD |
Shengrong Wu | USC | AD |
Shengshi Cui | GUIZHOU MEDICAL UNIVERSITY | AD, cognitive, Brain areas |
Shengwang Peng | Southern Medical University | low dose CT, denoising, artificial intelligence |
shengxian chen | South China University of Technology | Prediction of brain age |
Shengxiang Liang | FJTCM | metabolic connectivity |
ShengYao Huang | Chang Gung University | AD |
Shengye Hu | Chinese Academy of Sciences | cross-modality synthesis, deep learning |
Shengyuan Hu | Carnegie Mellon University | fairness, federated learning |
Shengyue Su | University of Texas Southwestern Medical Center | PET |
Sher Li Oh | Nanyang Technological University | mild cognitive impairment, multi-omics, alzheimer's disease |
Shereen Abdelnabi | Humboldt Universität | Alzheimer's disease, Mprage, SWI, phase images, APOE-ε4 alleles |
Shereif Haykal | Universitair Medisch Centrum Groningen (UMCG) | optic nerve; diffusion-wighted imaging; neuro-ophthalmology; glaucoma |
Sherin Paul | Federation University | MCI, Dementia, AI, Machine Learning |
Sherin Sugathan | University of Bergen | Visualization |
Sherine Saber | The American University in cairo | Machine learning |
Sherly Alphonse | Vellore Institute of Technology | Alzheimer, machine learning,bio-markers |
Sherlyn Jemimah | Khalifa University | Survival, causal inference, biomarkers |
Sherry Chen | The University of Sydney | Frontotemporal dementia, longitudinal, neural correlates, cognition |
Sherry Chen | Western University | Alzheimers, longitudinal,cholinergic |
Shervin Assari | Charles R Drew University of Medicine and Science | race, ethnicity, socioeconomic status, education, cognitive decline |
Sheyla León | Centro de Neurociencias de Cuba | Estudio, Imagenes |
shi cailing | affiliated hospital of north sichuan medical college | structure MRI, functional MRI, graduation project |
shi chunlei | Beijing Normal University | Machine Learing,Hidden information |
Shi di Miao | Harbin University of Science and Technology | Bayesian Networks(BN),artificial intelligence(AI),Pattern recognition, AD |
Shi Hu | University of Amsterdam | deep learning, medical image analysis |
Shi Kewei | Xiamen University | biospecimen data; falls in older adults |
SHI LEI | 北京理工大学 | SL415369 |
Shi Ping Lim | Institute of Data | Machine Learning |
Shi Qin | 上海财经大学 | prediction |
Shi Rui | Huazhong Agricultural University | undergraduate project, Alzheimer's disease prediction |
Shi Tang | sleep assessment unit | imaging, cognitive impairment, dementia, |
shi xian | jiangsu university | study |
Shi yajun | shandong first medical university | syjdsl888 |
Shi-Yun Zhong | Daping Hospital | Alzheimer’s disease,AD |
Shibani Budhraja | UNIV.AI | risk prediction, convolutional neural networks, ensemble learning, |
Shibjash Dutt | Self | competition, kaggle, imputation, genentech |
Shibo Xing | University of Pittsburgh | Neuroimaging, CV, PET scan, MRI |
Shicai Wang | Peking University | biomarker |
shicai wei | University of Electronic Science and Technology of China, UESTC | multimodal research |
Shichang Luo | University of Shanghai for Science and Technology | Alzheimr's disease progression,Tadpole Challenge Data |
SHICHAO LI | Tsinghua University | MRI, CT, Deeplearning |
Shichen Jin | Shanghai University | predict pet image |
Shichen Luo | Macquarie University | fMRI, Alzheimer's Disease,Machine learning |
Shida He | University of Electronic Science and Technology of China | machine learning |
Shihan Qiu | Cedars Sinai Medical Center | Retro map |
Shihan Wen | Beijing University of Posts and Telecommunications | hippocampus, segmentation, deep learning, neural network |
shihao wang | Chengdu Medical College | AD |
ShihChung Lo | MS Technologies Corp | MCI, AD, Machine Learning, Particle Swarm Optimization |
shijia bian | EMORY UNIVERSITY | AD disease progressin |
Shijia Bian | Emory University | data harmonization |
Shijia Wang | Nankai University | genome-wide association study; image genetics |
shijiao tian | Zhejiang University | Alzheimer’s, radiomics |
Shijie Chen | Xuzhou Medical University | PET, super-resolution, GAN, ML |
Shijie Dai | Xiamen University | Brain, Stroke,AIS |
SHIJU SAMUEL | ST. VINCENT PALLOTTI COLLEGE OF ENGINEERING & TECHNOLOGY | MRI , MOTION ARTIFACT |
shikhA MEHTA | JAYPEE INSTITUTE OF INFORMATION TECHNOLOGY | ALZHMEIRS DIEASES |
Shikha Sharma | Chitkara University Institute of Engineering and Technology | deep learning, dimentia, alzhiemer images |
Shikha Vyaghra | Rutgers University | QueryParser |
Shikhs Shrestha | Swarthmore College | imputation |
Shili Wang | carnegie mellon university | course project, neuroimage data |
Shiling Deng | Chongqing University of Posts and Telecommunications | undergraduate thesis, academic usage |
Shiloh Scott | Eli Lilly | biomarkers |
Shilpa Abraham | Cochin University of Science and Technology, Kerala, India | Explainability, Deep learning, saliency maps |
Shima Jalalian Sedaghati | Stevens Institute of Technology | protein diffusion in dementia |
Shima Karbasi | Isfahan university of medical science | Alzeimer,beta amyloid,csf proteomic |
Shin Kamada | Prefectural University of Hiroshima | MCI, AD, MRI/PET, AI |
Shin Kuramochi | Keio University School of Medicine | hearing loss |
Shin Wee Chong | Carl-von-Ossietzky Universität Oldenburg | Advance longitudinal modeling, structural equation, bidirectional relationship |
Shin Won Kang | Samsung Medical Center | Deep learning, Alzheimer’s disease |
SHIN-SHIUE CHEN | Chung Yuan Christian University | AI, medical imaging, Alzheimer's disease research, T1-weighted images |
Shing Yee Tan | University College London | Researcher,Cholestrol, Dementia |
shingo murakami | Kyoto University | 8GN59 |
Shinichi Yoshida | Kochi University of Technology | convolutional neural netowrk, diffusion tensor imaging, tracrography |
shipeng wen | changzhou university | AD |
Shiqi Hu | Columbia University in the City of New York | Classification of Alzheimer's, Deep learning |
shiqi zhang | Chongqing university of posts and telecommunications | ADNI classification |
Shiqi Zhang | Chongqing University of Posts and Telecommunications | MRI,SVM-RFE, MRMR,texture features ,morphological features |
shiqi zhang | Chongqing University of Posts and Telecommunications | Use this data for graduation thesis research In order to accurately identify Alz |
Shiqiang Ma | Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences | classifcation of Alzheimer’s disease |
Shiqiang Ma | Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences | classifcation of Alzheimer’s disease |
Shira Hahn | Aural Analytics, Inc. | neuropsychological testing, statistical modeling |
Shireen Fatima | AMU | Alzheimer disease, MRI images , machine Learning |
Shirish Sonvane | National College of Ireland | AD, Thesis |
Shirley Tolman | Alliant International University | Physical abuse, Multiple Sclerosis, Alzheimer's disease, Parkinson's Disease |
Shirsha Bose | Jadavpur University | Found |
Shishi Liu | Hangzhou Dianzi University | Functional data, Regression and prediction, ADNI study |
shishi min | Xiangya Hospital, Central South University | DNA methylation |
Shishir Maheshwari | Birla Institute of Technology and Science Pilani | Features, deep learning, CNN, ML |
shishir maheshwari | bits pilani | ADNI, ML, DL, CNN |
Shital Chavan | SITS | MRI,CT,AD,MCI |
Shiva Kumar Jadala | University of Florida | University project |
SHIVAM GUPTA | National Institute of Technology Kurukshetra | classification of alzheimer's disease |
Shivam Kumar | Indian Institute of Technology, Roorkee, India | Multimodal Deep Learning, Diagnosis |
Shivam Maurya | University of Strathclyde | Deep Learning, GNN, GCN, Machine Learning, Alzheimer Disease |
Shivam Pal | Central university of Rajasthan | Healthcare |
Shivamma D | Dayananda Sagar University | NA |
Shivangi Awasthi | Merck & Co. | Alzheimer's, biomarkers |
SHIVANGI GAGNEJA | shivangi | brain disorder, AI, Prediction, Classifiers |
Shivani Dhiman | University of Delhi | Early Detection |
Shivani Hegde | Four Seasons | self organizing map, data distribution, analytical tool |
Shivani Ranjan | Indian Institute of Delhi | Alzheimer, MCI, EEG, Aging, subcortical |
Shivansh Aggarwal | UW Madison | Clinica |
Shivansh Bansal | JECRC University | Medical Image, MRI, CT Scan |
Shivansh Seth | International Institute of Information Technology, Hyderabad | Ising model, network analysis |
shivanshu gupta | SRMU lucknow | Alzheimer's disease |
Shivashriganesh Mahato | Texas A&M University | Bayesian Statistics |
Shivi TIWARI | City University of Hong Kong | AD, MCI |
Shivin Srivastava | National University of Singapore | Classification,Clustering,Heterogeneity,Class Separability |
shiwangi mishra | IIITDMJ | AD, MRI, classification |
Shiwei Lan | California Institute of Technology | longitudinal analysis, neuroimaging data, spate-temporal changes |
SHIWEI ZHANG | WenZhou Medical University | zsw19980705!9875 |
Shiwen Zhang | Hunan University of Chinese Medicine | Alzheimer's disease:AD |
Shixiao Shan | Qufu Normal University | Brain Imaging Analysis, computer science |
Shixin Lin | National United University | Neural Disorders |
SHIYA SU | Foshan Fosun Chancheng Hospital | genes;dementia |
Shiyan Li | University of Vienna | Randomforest modell |
shiyang zhu | THU | MRI segmentation |
ShiYao Pan | Wuhan University of Science and Technology | AD,MCI |
ShiYao Pan | Wuhan University of Science and Technology | AD,MCI |
Shiyi Ding | Central South University | statistics |
Shiyi Du | 四川大学 | student research Alzheimer |
Shiyi Du | Sichuan University | Alzheimer,TADPOLE,student research,anomaly detection |
Shiyu Yuan | University of Southern California | neurodegenerative disease, MRI study |
shiyun Lou | Dalian Medical University | BAIYANG1996 |
Shizuka Hayashi | University of new south wales | Perivascular space |
SHLOMIT GUR | Penn State University | Evolving functional connectivity analysis, machine learning, graph theory |
Sho Komukai | Osaka university | Genomic information, Prediction tool |
Shoaib Akhter | KFUEIT | Alzheimer detection using SVM and LSTM |
Shoaib Waheed | Georgia Tech | MCI |
Shoaibuldin Memon | Szabist Islamabad | Cognitive impairment, Alzheimer’s dementia |
SHOBA S | VIT University Chennai Campus | Alzemier disease |
shobha shivanna | M.S.Ramaiah university of applied sciences | AD,MRI,classification,mild cognitive impairment (MCI) |
Shogo Watanabe | National Cerebral and Cardiovascular Center | Artificial Intelligence, Deep Learning, Dementia |
Shogyoku Bun | Keio University School of Medicine | amyloid β, p-tau181, NfL, plasma biomarkers |
Shoko Iwai | AI Dynamics | Machine learning, Alzheimer's disease, Placebo prediction |
Shorena Janelidze | Lund University | Alzheimer’s disease, fluid biomarkers |
Shorouq AlJarad | Jordan University of Science and Technology | MRI, Deep Learning, CNN |
Shota Shibata | University of Tokyo Hospital | AD, genetics |
SHOTA SHIONO | Yamagata University | Brain image analysis |
Shoudao Wen | Southwestern University of Finance and Economics | Functional data anaylsis |
Shouheng Tuo | Xi'an University of Posts and Telecommunications | high-order SNP epistatic interactions |
Shoumik Roychowdhury | Westwood High School | feature extraction, longitudinal study, MRI images |
Shourya Teja Marneni | uni of canberra | Predicting Alzheimer's Disease |
Shousheng Zhu | Shandong Jianzhu University | Alzheimer's disease, topology theory, big data analysis |
shouyan chen | Guangzhou University | AI; Alzheimer detection |
shraddha k | VIT | MRI PET |
shraddha mishra | shree ram institute of technology jabalpur | GAN based synthetic image generation |
Shraddha Nalgirkar | JSCOE, PUNE | Image processing |
Shraddha Sapkota | University of California, Davis | Bayesian psychometrics |
Shraddha Sharma | Bennett University | Alzheimer's Disease, Image Segmentation, Disease detection |
Shravan Dhar | UVCE | Alzheimer |
Shravya A | VCET Puttur | MRI |
Shreeya Pahune | International Institue of Information Technology, Hyderabad | Multimodality data, Deep learning, Prediction of AD, Analysis of the disease |
SHREYA BHAKTA | Columbia | ML, alzheimers, predictions |
Shreya Goswami | IIITL | computer vision, Alzheimer, project |
Shreya K R | Indian Institute of Science, Bangalore | Machine learning, predictive analysis, mild cognitive impairment |
Shreya Metkar | Svnit | Super Resolution, Medical Images |
Shreya Rajagopal | University of Michigan Central Campus | machine learning, fMRI, aging, cognition |
Shreya Rajasekar | Georgia Institute of Technology | Alzeihmer's |
Shreya Ravikumar | Stony Brook University | Alzhiemer's |
Shreya Saxena | University of Florida | Classification |
Shreya Sinha | New York University | Machine learning, deep learning |
Shreya Sreekantham | Pioneer | neural network |
Shreya Venkatesh | Santa Clara University | deep learning, image analysis, prediction model |
Shreyans Mehta | Georgia Tech | alzheimers |
Shreyansh Kashaudhan | Indian Institute Of Technology, Delhi | Signal processing for my research |
Shreyas Fadnavis | Indiana University Bloomington | DWI, Machine Learning |
shreyas rao | National Institute of Technology Karnataka | machine learning |
Shria Guntunur | PES University | alzheimer,brain,nlp |
Shrida Kalamkar | COEP | Deep Learning |
Shrihari A | IIT Guwahati | MRI, T1, HV, CNN |
Shrikanth Yadav | Massachusetts General Hospital | Hidden Markov Models, fMRI |
Shriraj Sawant | IITGN | Alzheimers Disease, Deep Learning, MRI |
Shruti Agarwal | JHU | fMRI |
Shruti Chandra | Northwestern University | cognition, aging, SuperAging, dementia, biomarkers, imaging |
Shruti Dodani | Dwarkadas J Sanghvi College of Engineering | Deep learning; Convolutional Neural Network; Alzheimer's disease. |
Shruti Jadon | Quantiphi Inc | Research |
Shruti Naik | University of Leeds | Machine Learning, Patient Lifestyle, Medical History |
Shruti P | PSG COLLEGE OF TECHNOLOGY | CNN, Alzheimers', Attention mechanism |
Shruti Pallawi | MNNIT Allahabad(Ph.D) | Disease detection |
Shruti Santosh Dudwadkar | The University of Sheffield | Alzheimer's diagnosis, Deep Polynomial Network |
shrwan Ram | J.N.V. University jodhpur | Brain Tumor, Brain Damage, Cancer |
Shu Chen | North East University | iconography |
Shu Guo | Beihang University | Aging; Dementia; Brain Network |
Shu Jiang | Washington university in st.louis | prediction, progression, validation |
Shu Umezawa | Tohoku University | resting state functional connectivity, tractography |
Shu Xian Teo | University of Edinbutgh | Nonparametric Bayesian methods |
shu Zhang | University of Southern California | Metabolites |
Shu Zhou | Shenzhen Institute of Advanced Technology Chinese Academy of Sciences | biomarker; batch effect |
Shu-Mei Lai | Sinica | Contextual Bandits, data analysis |
shua c | shandong first medical university | none |
shuai dong | Northeastern University | MRI depression |
Shuai Li | HuaQiao University | computer |
Shuai Liu | JiLin university | computer vision |
Shuai Niu | Hong Kong Baptist University | Precision medicine; Time-series; Longitudinal multimodal EHRs; Deep state-space; |
shuai qi | 无 | deep Learning |
SHUAI SONG | Yunnan University | sshuai0225.. |
shuai wang | xijinghospital | Alzheimer's disease |
Shuai Zhang | University of Manchester | Auto Classification, additional information |
Shuai Zheng | Beijing Jiaotong University | Graph convolution network, Disease prediction |
Shuai Zhikun | CUIT | image registration |
Shuaida He | Sustech | Statistical Learning, Alzheimer’s Disease Prediction |
Shuaihui Huang | South China Agricultural University | Alzheimer's disease |
Shuailin Wang | Shandong University | image data; research |
Shuaishuai Li | University of Ulm | MRI |
shuang gao | Xiamen University | Topological analysis, Higher-order network, graph theory |
Shuang Li | Colorado School of Mines | Machine Learning, Optimization, Signal Processing |
Shuang Liang | university of science and technology,Beijing | classification |
Shuang Song | University of Leeds | brain tumor, prediction |
shuang wang | Guangdong Shunde Innovative Design Institute | cooperative study,Non-Commercial Purposes |
Shuang-Qing Chen | the Affiliated Suzhou Hospital of Nanjing Medical University | Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning |
Shuangfei Shi | Georgia State University | three-class Youden index; verification bias |
Shuangge Deng | South China University of Technology | Alzheimer's disease, machine learning, diagnosis |
Shuangli Liao | ShenZhen University | Academic Research |
Shuangling Han | Qingdao University | dementia, AD, neurodegenerative disease |
Shuangqing Wang | Qufu Normal University | brain imaging genetic |
Shuangxue Zhao | Southwestern University of Finance and Economics | high-dimensional mediation analysis |
Shubhabrata Mukherjee | University of Washington, Seattle | item response theory, structural equation modeling, growth models |
Shubham Agrawal | OVGU | ADNI |
Shubham Bhand | Manipal university jaipur | machine learning, disease detection |
Shubham Dwivedi | National Institute of Technology Silchar | Alzheimer, Brain, Daignosis |
Shubham Goyal | Maharaja Agrasen Institute of Technology | Major Project |
Shubham Khandelwal | Maharaja Surajmal Institute of Technology | EDA, Attention, Deep Learning, AD, Classification, Transformers |
Shubham Lanje | lovely professional university | cnn : Convolutional Neural Network |
Shubham Pateria | Singapore Management University | Federated Learning, Federated Clustering, Clustering |
shubhangi patil | D. Y. Patil International University | CNN, AD |
shubhangi Tirpude | RCOEM, Nagpur | alzheimers, deep learning |
Shubhashree P | DAYANANDA SAGAR UNIVERSITY | SVM,RF,DT |
Shubhi kansal | MITS gwalior | Magnetic Resonance spectroscopy, Biomarkers, Metabolites |
shubin l | Anhui university | Alzheimer's,deep learning |
Shubo Tian | Florida State University | AD Prediction, AD Progression Prediction, Machine Learning |
Shubo Xu | Guangzhou City University of Technology | luokong233333333 |
Shuda Zhong | University of Pittsburgh | White matter hyperintensity segmentation |
Shufei Feng | Peking University No.6 Hospital | Amyloidosis; Sleep; Alzheimer's disease |
Shufei Ge | Simon Fraser University | Associations study, Group Lasso ,spatial correlation structures |
Shuhai Zhang | SCUT Machine Intelligence Lab | data augmentation |
Shuhan Liu | Beijing Jiaotong University | Machine learning, classification, AD |
shuhan zhu | university of science and technology of china | deep learning |
Shuhei Bannae | Canon Medical Systems Corporation | Alzheimer disease |
SHUHONG SHI | Nagoya Institute of Technology | deep learning;experiment |
Shuhua Yang | University of science and technology | GWAS study; longitudinal biomarker |
Shuichi Ito | PDRadiopharma Inc. | PET,Image,software |
Shuichi Kawano | The University of Electro-Communications | Statistics, Machine Learning |
Shuichi Sato | Toyota Central R&D Labs., Inc. | random forest |
Shuij Sato | Takeda Pharmaceutical Company | inflammation |
Shuilin Zhao | Second Affiliated Hospital of Zhejiang University School of Medicine, The Second | AD;PET; |
shuiqing Jing | Qufu Normal University | Paper Dataset |
Shuizhou Ke | Hefei University of Technology | domain adaptation |
shujiang ren | Chongqing Medical University | 阿尔兹海默症 |
Shujie Lan | Ningbo University | ADNI |
Shujie Ma | University of California, Riverside | clustering analysis, subgroup analysis, longitudinal data, machine learning |
shujuan liu | shandong normal university | ad |
Shujun Wang | University of Cambridge | Alzheimer's disease classification |
shuli lian | Xiamen University | cognitive impairment |
Shuliang Han | Fudan University | CT, MRI, Synthesis, GAN. |
Shumao Pang | Southern Medical University | Alzheimer's disease diagnosis, deep learning, hippocampus segmentation |
shun li | shandong university | TWAS |
shun nakazawa | Juntendo university | Create your own database that is easy to use for AI |
Shunbao Li | University of Sheffield | multi-modality, data fusion, alzheimer's disease early diagnosis |
Shunbo Hu | Linyi Univeristy | image segmentation |
Shunchao Guo | Guizhou University | classification |
Shunian Xiang | ohio state university | AD network anlaysis |
Shunji Migikura | Tohoku University | MRI, Imaging, Cognitive Impairment, Cohort study |
shunjie liu | The Sixth Affiliated Hospital of Sun Yat-sen University | fMRI, Alzheimer’s disease, gray matter volume, task |
Shunsuke Koga | Mayo Clinic | machine learning |
shunxin qi | Changchun university of technoligy | Bayesian method; causal mediation; latent variable; posterior propriety; survi |
Shunyao Wu | Qingdao University | GWAS, Multilayer networks, generalize single index model |
Shuo Chen | National Innovation Institute of Defense Technology | deep learing, super resolution, medical imaging |
Shuo Guo | West China Hospital, Sichuan University | neurofilament light chain, demographic data, clinical data |
Shuo Liu | university of ulster | Novelty detection |
Shuo Liu | university of ulster | Novelty detection |
Shuo Liu | Renmin University of China | tensor regression |
Shuo Wang | CSIRO | Privacy-preserving, Federated Learning |
shuo xu | University of Electronic Science and Technology of China | Multi-model;cross-disease |
Shuo Yan | Shandong University | disease prediction |
Shuo Zhang | Beijing Jiaotong University | medical image registration, artificial intelligence |
shuo zhang | BeiHang University | brain age estimation |
Shuo Zhang | Changzhou University | Alzheimer's disease, MRI images. |
Shuoli Chen | Renmin University of China | cslSS520 |
Shuolin Jiang | Guangdong Provincial Hospital | AD, PD |
Shuolin Liu | AnHui University | DeepLearning; Alzheimer's Disease; FDG-PET Images |
Shuoshi Wang | Dongzhimen hospital | BPSD, NPS, neuroimaging, |
Shuoyang Wang | Auburn University | Functional analysis |
Shuqi Guo | UESTC | research study |
shushan zhang | nanchang university | mechine learning;mental symptoms;Parkinson's disease |
shushan zhang | nanchang university | mechine learning;mental symptoms;Parkinson's disease |
shusheng Zhou | Tianjin University of Technology and Education | fMRI,Classification |
Shuting Gong | BUAA | brain network |
Shuting Liao | University of California Davis | survival analysis, causal inference, statistics, important factor identification |
shuting liu | Technische Universität München | Alzheimer’s Disease; stroke; |
Shuting Wu | Wannan Medical College | Graduation thesis |
Shuwei Li | Guangzhou University | Survival analysis; Longitudinal data analysis; High dimensional data analysis |
Shuxian Wu | USC | Design |
Shuxu Zhao | Zhengzhou University | multimodel |
Shuyan Zheng | UESTC | sMRI AD MCI DeepLearning |
Shuyao REN | Northwest University | Deep Learning |
Shuyao Wang | UC berkeley | Capstone Project |
Shuying Luo | Ningbo University | Academic research |
Shuyu Laing | Fudan University | Reiteration thesis |
Shuyu Liiu | East China Jiaotong University | data analysis |
Shuyue Lv | China-Japan Friendship Hospital Affiliated Jilin University | Alzheimer's Disease,Hippocampal Atrophy,Intracranial Vascular |
Shuyue Ma | Tsinghua University | AD, eyeball volume, glaucoma, MR imaging |
Shuzhen Chen | Tongji Hospital, Tongji University School of Medicine | Alzheimer's Disease |
Shuzo Sakata | University of Strathclyde | deep learning, machine learning |
SHWETA SINGH | IIT BHU | RESEARCH |
shwetha B | sjce | Alzheimers, MRI, Wavelets, SVM |
SHWETHA S | SRI JAYACHAMARAJENDRA COLLEGE OF ENGINEERING | EARLY STAGE DETECTION |
Shyu Cao | UESTC | AlextNet for AD prediction |
Si Gao | Maryland Psychiatric Research Center | RVI |
Si Shen | Capital medical university | cognition, Alzheimer's disease, neurodegeneration |
Si Young Yie | Seoul National University | Segmentation, Positron Emission Tomography, Magnetic Resonance Imaging |
Si-Yeon Kwon | Dongguk University | Computer Vision, Medical Image Processing |
Sia Sharma | Boston University | MATLAB, research |
Siamak Sorooshyari | UC Berkeley | aging, machine learning, functional connectivity |
Sibaek Seong | Yonsei Univ | neuroimage |
Sichen Bao | TianjinNormalUniversity | ProtoPNet GradingMap |
Sicheng Guo | Hunan Agricultural University | GWAS |
Sicheng Tian | Huazhong university of science and technology | academic and non-commercial, graduation project |
Sicheng Zhao | Columbia University | lesion detection, segmentation |
Sicong Yao | University of Pennsylvania | imaging analysis |
Sida Chen | Hong Kong Baptist University | Aging, Large-Scale Brain Network, Parameter Sensitivity |
Siddarth Ijju | Stony Brook University | GNN, Connectome, Connectivity Networks |
Siddhant Bikram Shah | Delhi Technological University | Alzheimer's disease, Synthetic data, Augmentation, Trustworthy, Classification, |
Siddhant Bikram Shah | Delhi Technological University | Synthetic data, Augmentation, Machine Learning, Classification |
Siddhant Kapil | UMBC | Deep Learning, Data Analytics, Computer Vision |
Siddhant Mudholkar | NIT RAIPUR | Alzheimer detection |
Siddharth Agarwal | University of Nottingham | brain age, chronological age, delta, radionics |
Siddharth deo | Christ university | grey matter |
Siddharth Muppalla | Massachusetts General Hospital | connectomes, imaging, functional imaging |
Siddharth Nayak | Weill Cornell Medicine | AD; MCI; AI; Machine learning; resting state; DTI |
Siddharth Nayak | Weill Cornell Medicine | RNN; PET; Resting-state; MCI; machine learning. |
Siddharth Perini | Georgia Tech | Image Processing Recognition |
Siddharth Ramanan | University of Cambridge | Alzheimer's disease; atypical alzheimer's disease; cognition; neuroimaging |
Siddharth Rathee | Manipal University Jaipur | Machine Learning, Alzheimer's Disease |
Siddharth Satuluru | UCLA | Medical Imaging, MRI, PET |
Siddharth Sharma | California Polytechnic State University, San Luis Obispo | Deep Learning, Alzheimer's Disease, MRI, Wavelet Transforms, Neural Networks |
Siddharth Sharma | Liverpool John Moores University | Alzheimer's, CNN,ML,AI |
Siddhartha Mishra | Galgotia College Of Engineering And Technology | Alzheimer's Disease |
Siddhartha Paul | Jadavpur University | Alzheimer's Disease, Mild Cognitive Impairment, Deep Learning |
Siddhartha Vale | Our Memos | alzheimers, cognitive impairment, memory loss |
SIDDHESH KULKARNI | University of Connecticut, Storrs,USA | Sparse Canonical Correlation, High Dimensional Data, Brain Networks |
Sidesh Kumar | IIT(ISM) Dhanbad | ADNI, Deep Learning |
Sidi Wu | Simon Fraser University | Effective Brain Connectivity, Functional Data Analysis |
Sidra Minhas | FC College, Lahore, Pakistan | Autoregressive, longitudinal, biomarkers, forecast, conversion |
sie yu-cheng | 清華大學 | jjj987415 |
Sied Kebir | University Hosp Essen | deep learning |
Siegrid Pregartner | University of South Florida | asd |
Siemon de Lange | University Medical Center Utrecht | connectome, structural connectivity, Alzheimer, MCI |
Sierra Sparks | University of Oxford | machine learning, disease prediction, cerebral blood flow, neurodegeneration |
Sifan Liu | Stanford University | morphometry |
Sifat Munim | Bangladesh University of Engineering and Technology | Alzheimer's |
Sigal Cohen | Bar Ilan University | Alzheimer's blood pressure |
Sihan Yang | Sichuan University | Deep learning, image fusion, medical image |
sihang zhao | northwest university | zhaosihang961120. |
SIHAO SUN | Rutgers University | cs527team1 |
Sihem Amel Lazzouni | Faculty of technology | multifractal anlysis, fractal attributes, Alzheimer's disease |
sihong Huang | University of Texas at Arlington | dementia |
Sihoon Moon | Georgia Institute of Technology | Education, Machine Learning |
Sihui Li | Northwest university | AD,DL,multimode data |
sijia Zhang | Hebei University of Technology | AD brain-like network, speech recognition, neural information processing |
sijie chen | Yitu healthcare technology | AD, classification, CNN |
Sijue Yang | drum tower hospital | Tau |
sike zhao | Anhui University of Finance and Economics | none |
Sikta Das Adhikari | Michigan State University | statistical model |
Sikun Lin | University of California, Santa Barbara | fMRI, time series analysis |
Silas McCaslin | Penn State College of Medicine | Alzheimer's |
silpamohan N | Cochin University of Science and Technology | MtechProject22 |
SILU YAN | SHANNXI NORMAL UNIVIRSITY | onew521146 |
Silvan Licher | ErasmusMC | Dementia, validation, prediction |
Silvana Sañudo | UNS | T1 mri |
Silvia Cagnone | University of Bologna | latent variables, dimension reduction, maximum likelihood |
Silvia Campanioni | Hospital Álvaro Cunqueiro | Deep learning, classification, structural and functional magnetic resonance imag |
Silvia Campanioni | Galicia South Health Research Institute, Hospital Álvaro Cunqueiro | Partial Volume Correction, Epigenetic Conditions, Manifold Learning |
Silvia Ciappelloni | OnePoint Group | images analysis AI deep learning |
Silvia Contreras | Universidad Autonóma de Ciudad Juárez | alzheimer image processing dementia mri |
Silvia Ingala | Amsterdam UMC | amyloid, alzheimer, MR, imaging, T1 |
Silvia Saeta | Universidad Politécnica de Madrid | Alzheimer disease, predictives¡ |
Silvia Vitali | Euskal Oxcitas Biotek S.L. | risk metric, aging, neurodegenerative diseases |
Silviu-Alin Bacanu | Virginia Commonwealth University | blood transcriptomic; GWAS; fine-mapping; WGCNA |
Sima Ghafoori | shahid beheshti university of medical sciences | Alzheimer's Disease, mild cognitive impairment |
Sima Ghafoori | shahid beheshti university of medical sciences | Alzheimer's Disease, mild cognitive impairment |
SIMAR SANDHU | LPU | dataset |
SIMARAN TIWADI | BLDEACET | SIMARAN |
Simarjeet Singh | National Institute of Technology - Raipur | RBM,Alzheimer |
simeng luo | Shanghai Jiaotong University | abc13019641315 |
Simeone Marino | UNIV OF MICHIGAN | CBDA; machine learning; feature mining; meta-algorithm; Big Data |
Simin Deng | Tungwah Hospital of Sun Yat-Sen University | Subjective cognitive decline |
Simin Deng | Southern Medical University | SMC NC |
Simin Deng | Southern Medical University | SMC NC |
Simin Du | Southern University of Science and Technology | fMRI, EEG, biostatistics |
simin jahan | Amirkabir University | classification, neural network |
Simin Wei | Beijing Jiaotong University | ADNI dataset |
Simisola Odimayo | University of West of England | machine learning deep learning eeg mri |
Simon Bele | University of Ljubljana | data augmentation, machine learning, deep neural networks |
Simon Crete | Concordia University | Deep Learning, Brain age |
Simon Duchesne | True Positive Medical Devices Inc. | Biomarkers; Volumetry; Normative data |
Simon Duchesne | Université Laval | MRI, phenotypes, cortical thickness, genotype |
Simon Eskildsen | Aalborg University | cortical thickness, brain mapping, segmentation |
Simon Frerich | Karolinska Institute | Subtyping |
Simon Frerich | LMU Munich | genetics of AD |
Simon Gao | FuDan University | adniczg123 |
Simon Koch | Technical University of Munich | Multimodal Deep Learning, State Classification |
Simon Laws | Edith Cowan University | genetics, epigenetic, methylation, imaging, cognition |
Simon Lee | UC Santa Cruz | image reconstruction, neural networks, Alzheimer's disease |
Simon McAdams | Cambridge Quantum Computing Ltd | quantum computing |
Simon Oxenford | Charite Berlin | registration, segmentation, atrophy |
Simon Provost | University of Kent | adni, adapted ML algorithm, classification |
Simon Rodriguez | huston univeristy | alzheimer |
Simon Senan | Indepedent Researcher | Genentech, Challenge, ADNI |
Simon Vandekar | Vanderbilt University Medical Center | teaching |
Simona Fratus | University of Brescia | deep learning, neural network |
simona itri | università vanvitelli | alzheimer disease |
Simona Piccirella | DiademDx | AZ284, AlzoSure |
Simona Sacuiu | San Francisco Veterans Affairs Medical Center | Normal elderly, imaging biomarker, cognitive decline |
Simona Santamaria | ryver.ai | StyleGAN, bias in data, synthetic data |
Simone Beer | Forschungszentrum Juelich | quantitative PET |
Simone Eggert | TU Kaiserslautern | Alzheimer, neurodegenerative diseases, proteomics data, imaging data |
Simone Penna | University of Naples Federico II | Sustain, Deep Learning, Data, Neurodegenerative Diseases |
Simone Rossetti | Sapienza | dataset augmentation |
Simone Viganò | Max Planck Institute for Human Cognitive and Brain Sciences | Verbal fluency |
Simranjit Kaur | POST GRADUATE INSTITUTE OF MED EDUCATION AND RESEARCH | Gray matter; magnetic resonance imaging |
Sin Intae | iheuron | Brain Image Processing |
Sin Tung Wong | The University of Hong Kong | Class, Bachelors, Structural MRI, Learning Purposes |
Sina Delshad | Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman | Neuroscience |
sina ehsani | mashhad university of medical science | dti |
Sina Fathi | Iran university of medical sciences | CDSS, Alzheimer's disease, deep learning |
Sina Ghofrani Majelan | Concordia | Deep Learning |
Sina Khezri | TUMS | Mild cognitive impairment, alzheimer's disease, classification, machine learning |
Sina Miari | University of Tehran | AD, DL, AI, ML, DL |
Sina Mohammadi | Chapman University | Tumor Segmentation, Graph Theory, Partial Differential Equations, Deep Learning |
Sinan Faouri | Applied science private university | Deep learning MRI Alzheimer's disease |
SINDHU T S | C.ABDUL HAKEEM COLLEGE OF ENGINEERING AND TECHNOLOGY | IDENTIFICATION, CLASSIFICATION OF AD |
Sinead Walsh | Atlantic Technological University | Deep Learning Model, Master's Dissertation |
Sing-Hang Cheung | The University of Hong Kong | VBM, deep learning, classification |
Sining Lin | Fujian Medical University | Alzheimer's disease |
Sinthujah Vigneswaran | Amsterdam UMC - location VUmc | Alzheimer's disease, dysregulated genes, biomarkers |
Siphiwe Moyo | Other | study |
Siqi Li | Harbin University of Science and Technology | artificial intelligence,data mining,machine learning |
Siqi Wang | Wuhan University of Science and Technology | Medical image reconstruction |
Siqiang SU | The University of Hong Kong | Imaging genetics, canonical correlation analysis |
Sirigiri Sri Sai Sharanya | Vellore institute of technology | Neurology |
Sirui Wang | zhongnan hospital of wuhan university | Alzheimer's disease; resting-state functional magnetic resonance imaging;functio |
Sirui Wang | Robert Louis Stevenson School | Alzheimer's disease multidimensional |
Sisi Sun | China University of Geosciences | for study |
SISI YANG | IUPUI | Alzheimer's disease, obesity, hyperlipidemia, insulin resistance, hyperglycemia |
Sitao Min | Rutgers Business School | missing data imputation |
Sitara Afzal | Sejong University | Alzheimer's , Visualization, 3D model |
sithantha seelan | Sir HN Reliance Hospital and Research institute | sithantha |
Sithara Vivek | Univeristy of Minnesota | ATN classification |
SITI AISYAH ASRI | UiTM | aisyah |
siti nur atiqah alwi | university malaya medical centre | texture analysis and key features |
Siti Yaakub | King's College London | structural MRI, automatic morphometry |
Siting Chen | Oregon Health & Science University | microRNA, Alzheimer's disease |
Sitthichok Chaichulee | Prince of Songkla University | Deep Learning, Mild Cognitive Impairment, Normal Control |
Sittisak Saechueng | Burapha University | AD, CNN, Classification |
siva kumar | Parks College | Alzheimer, Disease, PET, Machine Learning, Image Segmentation |
siva ram | svcn | functional connectivity, classification, machine learning |
Sivakani R | B.S. Abdur Rahman Crescent Institute of Science and Technology | Alzheimer |
Sivan Kinreich | SUNY Downstate Medical Center | MRI, fMRI, Machine learning |
Sivanesan Rajangam | The Gandhigram Rural Institute (Deemed to be University) | segmentation |
Sivaniya Subramaniapillai | McGill University | sex differences, aging, dementia |
Sivapriya RAMANATHAN | LADY DOAK COLLEGE | MCI, AD, genetic biomarkers |
Sivapriya S | Higs Software Solution | deep learning, machine learning, MRI, alzhiemer disease |
Sivaraman Rajaganapathy | Mayo Clinic | AI, Deep learning, Prediction, Estimation |
Sivaranjani L R | RAJAPALAYAM RAJUS' COLLEGE | ALZHEIMER'S DISEASE |
Sivaranjini S | Anna University, Chennai, Tamil Nadu, India. | MRI, PET, Alzheimer's |
siwon hwang | sungkyunkwan university | dementia |
Siwon Park | Ewha Womans University | class material |
sixiang sun | Shenyang Normal University | 111 |
Sixiang Sun | Dalian Jiaotong University | Complex Network |
siya sherif | University of Liege | MRI, PET, Ageing, Alzheimer's Disease, segmentation |
siyao shu | yunnan university | AD |
Siyao Wang | Beijing University of Aeronautics and Astronautics | deep learning model;pet of the brain |
Siyi Chen | U of MN | GWAS |
Siyi Wang | Dalian Polytechnic University | Academia |
Siying Chen | BUAA university | study |
Siying Wu | Chinese Academy of Sciences | Alzheimer's disease, Mild cognitive impairment, Deep learning, Machine learning |
siyu cheng | shanghaitech | Alzheimer's disease features extraction |
Siyu Liu | University of Queensland | deep learning, Alzheimer's disease |
Siyu Liu | Fudan University | ADNI, Alzheimer's disease, biomarkers, longitudinal study |
siyu wang | 北京师范大学 | 鼻颅底 |
Siyu Wang | Shanghai Jiaotong University School of Medicine | Alzheimer's disease |
Siyu Wei | New York University | Alzheimer Disease; Deep Learning; Imaging |
siyu Yang | The First Affiliated Hospital of Nanjing Medical University | Alzheimer's disease,aerobic exercise |
Siyu Zhou | Northeastern University | Parkinson's disease |
Siyu Zhu | Duke Kunshan University | MRI images |
Siyuan He | Changchun University of Science and Technology | computer aided diagnosis, deep learning |
Siyuan Shi | Microport | deep learning, 3D data |
Siyun Zhao | Microsoft | medical imaging |
SJ H | 中央民族大学 | 学术研究 |
Sk Aayan Rahaman | Vellore Institute of Technology | Data Science |
Skylar Bjorklund | University of Southern California | research, health analytics |
Skylar Walters | Georgia State University | apathy |
Skyler Cranmer | The Ohio State University | functional connectivity, deep learning, exponential random graph models, LSM |
SL FAY | Dalhousie University | TBD |
SL ZHAO | IHEP | multi-center harmonization |
SL ZHAO | IHEP | multi-center harmonization |
SLAM AHMD | UNIVERSITY OF TLEMCEN | ALZHEIMER, Brain disease, Deeplearning |
Smeena Gill | The Hill School | Hill School |
Smita Agrawal | Institute of Technology, Nirma University | Alzheimer, Pediatric nuerology, genomic imaging |
Smita Priyadarshani | Birla Institute of Technology, Mesra | Image synthesis, GAN, Alzheimer's Disease |
Smith Giri | University of Alabama at Birmingham | Neural networks, AI |
SMITHA KARAVALLIL ACHUTHAN | UNIVERSITY OF ALABAMA | voxel based Morphometry |
Smithy Bob | NUAA | deep learning |
Smoc Petru | Politehnica University of Bucharest | CNN network |
Smriti Murali | University of Massachusetts, Amherst | Deep Learning , Lab |
Smriti Rao | North Carolina State University | Early detection, Alzheimer's, EEG |
Sneha Dasgupta | Heritage Institute of Technology | Alzheimer’s Disease, MRI |
sneha s | Nitte meenakshi Institute of Technology | Machine Learning |
SNEHA S | Christ ( Deemed to be University ) | 4 STAGE CLASSIFICATION OF ALZHEIMER DISEASE |
Sneha Suresh | LBS Institute of Technology for Women | Alzheimer's Disease, Project |
SNEHAL KALE | MITWPU | DTI ,fMRi, sMRI |
Snehal Pandya | Brunel University London | Alzheimer; MCI; Polygenic risk score; MRI; fMRI; DTI; ASL; Cognition |
SNEHALATHA UMAPATHY | srm institute of science and technology | DEEP LEARNING TECHNIQUES |
Snehith Reddy | Kakatiya Institute of Technology and science | Transfer learning, CNN |
Snigdha Agarwal | Heritage Institute of Technology | Alzheimer’s disease; graph theory; mutual information; network model; connection |
snow ethan | HIT | zc769980125 |
Soeren Mattke | University of Southern California | MCI, risk prediction, triage, Alzheimer's disease, machine learning |
Soeren Olsen | Novo Nordisk | Cognitive impairment, biomarkers, clinical outcomes |
Sofia Broomé | Therapanacea | alzheimer’s disease, disease progression, statistical methods, machine learning, |
Sofia Carvalho | Universidade do Minho | neuroimaging, mri, alzheimer, prediction |
Sofia Fernandez Lozano | McGill University | MRI, hippocampus, memory, ventricle enlargement |
SOFIA FRANCIS | MPSTME | Alzheimer, Deep Learning, MRI |
Sofia Gonçalves | Instituto Superior de Engenharia do Porto | Alzheimer's disease |
Sofia Khan | Christian Heritage | ptau |
Sofia Maria Siampani | Max Delbrück Center | VAMBN |
sofia michopoulou | university hospital southampton nhs foundation trust | training, PET, MRI, fluid biomarkers |
Sofia Mosesova | Denali Therapeutics | variability, endpoints |
Sofia Notopoulou | INAB-CERTH | Bioinformatics |
Sofia Ostellino | Politecnico di Torino | biomarkers, |
Sofia Rojas | Imitek | MRI, Image Processing, Image Segmentation |
Sofia Urosa | Tecnologico de Monterrey | brain cortex analisys surface deep learning |
Sofia Yfantidou | Aristotle University of Thessaloniki | personalized machine learning, statistical modeling, IID |
Sofie Imer Jespersen | Sahlgrenska Academy, Michael Schöll Research Group | Alzheimer's Disease, |
Sofya Titarenko | University of Huddersfield | data mining, machine learning |
soha rawas | Beirut Arab University | segmentation |
soha ziaei | Amirkabir university of technology | MRI |
SohailAbbas Saiyed | Bioada | Genomics, Alzheimer's Disease, Maching Learning, |
Soham Patil | Veermata Jijabai Technological Institute (VJTI) | Deep Learning, AI, Computer Vision |
Sohan sai Jampala | PSG College of Technology | Performance analysis, class of Alzheimer's, software |
soheil Ahmadzadeh | Tehran University of Medical Science | Alzheimer,machine learning |
Soheil Esmaeilzadeh | Stanford University | deep learning course, Stanford university, class project |
Soheil Shayegh | amirkabir university of technology | deep learning- ADNI |
Soheil Tabatabaei Motazavi | Tarbiat Modares university | machine learning | regression |
Soheil Zarei | ICSS | MCI AD ML ADNI |
Sohrab Jaferian | University of rochester | Prediction, Classification |
Sohui Kim | Hanyang Univ | gait, balance, biomarker |
Sohyun Jeong | Hebrew SeniorLife | glucose metabolism genes, biomaker, gene expression, TWAS |
Sok Kean Khoo | Grand Valley State University | biomarker |
sokratis lyras | Neuroelectrics | deep learning, cortical surfaces |
Solale Tabarestani | Florida International University | Alzheimer, Early MCI |
Solomon Paul R D | Ulster University | Clinical Use |
Solveig Hammonds | Helse Stavanger HF | Prodromal dementia, deep learning, MRI |
Somaye Hashemifar | Columbia university | Machine learning, Research |
Somayeh Abasabadi | Alzahra univercity | FMRI,MRI,AD,deep learning |
Somayeh Maleki Balajoo | Research center, Jülich | Multimodal, PET,MRI, brain organisation and functionality |
somayeh Shahrabadi | University of Minho | Neurodegeneration, brain regions, structural analysis, features, deep learning |
somia ahmed | faculty of computer and artificial intelligence | adni /brain tumors/ classification |
Somrita Bakshi | Indian Statistical Institute | PET, MRI, PIB, AV45 |
Somya Maheshwari | MSIT | alzheimer, prediction,machine learning |
Son Thai Ly | University of Houston | 3D medical imaging data using prompt tuning |
sonal goyal | NSIT, New delhi, india | MRI, Classification |
Sonal Kumar | Institute of Bioinformatics and Applied Biotechnology (IBAB) | Alzheimer's disease, sex disparity, structural variants, estrogen |
Sonali Ajankar | Indian Institute of Technology (IIT-BHU), Varanasi | Medical Image processing |
Sonali Bhosale | SKNCOE | ALzheimer's disease, hippocampus, mri images, deep learning |
Sonali Deshpande Pande | MIT ADT University,Pune | Alzheimer, EMCI,MCI,LMCI |
Sondos Momany | Jordan University of Science and Technology | Alzheimer's disease , Deep learning , Brain metabolism |
Sondra Kopyscinski | Rancho BioSciences | NFL |
Song Awei | Wenzhou University | deep learning; diagnosis; AD |
song binbin | Donghua University | studying master;Alzheimer's disease |
Song Chi | the Affiliated Hospital of Qingdao University | Alzheimer's Disease |
Song Chongchong | BUAA | medical images processing |
Song Fangtao | Zhejiang Sci-Tech University | SwarmLearing,early diagnosis,neural network |
Song Mengxing | Zhongyuan Institute of Technology | study |
song miao | Shanghai Maritime University | Machine Learning, Dimension Reduction, Classification |
Song Qianqian | Peking university | 19801323945s |
Song Tianyuan | Beijing University of Posts and Telecommunications | Pretrain, AD |
song xiao | yangzhou university | medical image |
song xu | University of Shanghai for Science and Technology | AD MCI NC |
song yilin | Northwestern Polytechnical University | dataset |
Song'an Shang | Clinical Medical College, Yangzhou University | MRI; Alzheimer’s disease |
songen gu | UCAS | neuroimaging, machine learning |
Songha Kim | Hankuk University of Foreign Studies | Biomedical engineering |
songhyun kim | Seoul National University | fMRI |
Songjun Peng | Fudan University | whole-brain modelling, Alzheimer's disease, virtual manipulation |
songlin chang | Chongqing University of Posts and Telecommunications | Medical image recognition |
songmin dai | Shanghai University | positive-unlabeled learning |
Songül Varlı | YILDIZ TECHNICAL UNIVERSITY | classification, modelling aerly diagnosis of Alzhiemer |
Songxiao Yang | Beijing Institute of Technology | Medical Diagnosis |
Sonia Ben Hassen | National School of Electronics and Communication of Sfax | MCI stage, pMCI, sMCI, AD, hippocampus, segmentation, structural MRI data |
Sonia Dembowska | University of Leeds | Functional Data Analysis, Principal Component Analysis, Survival Analysis |
Sonia Moreno | Fundació ACE | genetics, Alzheimer |
Sonja Scholz | National Institutes of Health | neurodegeneration, Lewy body dementia, frontotemporal dementia |
Sonu George | University of Birmingham | image forecasting |
Sonya G | Northwestern University | resting state fMRI, fMRI, task-based, connectivity |
Sonya Jin | Stuart Country Day School | computational neuroscience, neuroscience, Alzheimer's Disease |
Sonya Kaur | University of Miami | Polygenic Risk Score, Short sleep, cognition |
Soo Hyun Cho | Chonnam National University | SNAP |
Soo Jung Lee | University of Basel | Drug Discovery |
Soo-Jong Kim | samsung medical center | neuroimaging |
Soo-Jong Kim | samsung medical center | neuroimaging,neuroscience,artificial intelligence |
Soobum Kim | South Korea | AI, Deep learning |
Soodeh Moallemian | University of Liege | AD, MCI, multivariate analysis, PET, MPM |
Soolmaz Abbasi | Yazd University | solmaz5086 |
Sooyeon Jeon | POSTECH | AD, imaging, deep learning, neural network, genetic data |
Sophi Shilpa G | NTU | Alzheimer’s Disease |
Sophia Epstein | Claremont McKenna College | classifier and diagnostic |
Sophia Frangou | Icahn School of Medicine at Mount Sinai | machine learning, clustering, longitudinal |
Sophia Krix | Fraunhofer Institute for Algorithms and Scientific Computing SCAI | biomarker discovery; variational autoencoder; modular bayesian networks; |
Sophia Thomopoulos | University of Southern California | DTI, TBM |
Sophia Wagner | Technical University of Munich | multimodal deep learning, alzheimers detection |
Sophia Wang | Indiana University School of Medicine | depression, antidepressants, biomarkers, amyloid, Alzheimer's disease |
Sophia Wheatley | Karolinska Institute | FDG-PET, MRI |
Sophie Boutin | Université de Montréal | Sex differences, Subjective Cognitive Decline |
Sophie Chen | Beijing University of Technology | fMRI classification |
Sophie Martin | University College London | Dementia, Neuroimaging, Deep Learning, Explainable AI, Interpretability |
Sophie Mastenbroek | Amsterdam University Medical Center | amyloid subtypes, PET, SuStaIn |
Sophie Schauman | Stanford University | Deep Learning, Training, Contrast synthesis |
Sophie Sokolow | UCLA | MCI, pharmacogenetics |
Sophie Wilcox | GIGA-Neuroscience | pattern analysis, grey matter, sex, VBM |
Sophie Wood | Cardiff University | image biomarkers socio demographics |
Sopiruch Yuthawong | Khon kaen university | Alzheimer’s disease, early detection |
Soraisham Elizabeth Devi | North Eastern Regional Institude of Science and Technology | Centrality Measures, graph mining, directed graph, MRI, Alzeimers |
Soraya Nasser | Oran1 University | macine learning, Alzheimer diseases |
Soraya Nasser | Oran1 University | macine learning, Alzheimer diseases |
soraya zarei | tehran | alzaymer |
Soriah Alhuthifi | University | Mmm |
Sorin Draghici | Advaita | meta-analysis, data integration, subtype discovery |
Sorour Yaghoobian | Birkbeck university of London | Vitamin B12, B12 deficiency, AD |
SOSUKE YONEDA | Shionogi & Co.,Ltd. | fast and slow progression |
Sota Misawa | Japan | Cycle GAN |
Sotirios Bisdas | University College London | Brain ageing; Cognition; Brain tumour |
Sotirios Panagiotis Chytas | University of Wisconsin-Madison | machine learning, deep learning, statistics, programming |
Sotiroula Afxenti | The Cyprus Institute of Neurology and Genetics | radiogenomics, radiotranscriptomics, imaging, omics |
Soufiane Ezzaim | Mohammed V University | CNN, supervised learning |
Sougata Maity | Tata Medical Center | MRI, Brain Tumor |
soukaina aassouss | university of cagliari | CNN ,Classification |
Soukaina BENCHARI | Université Jean Monnet Saint-Etienne - IUT de Roanne | neurodegenerative disease- progession-markov chain |
Soumen Basu | Indian Institute of Technology Delhi | Deep Neural Network, Multi-modal |
Soumick Chatterjee | Otto von Guericke University Magdeburg | deep learning |
Soumit Kar | Ineuron | soumit |
Soumya Bouchachi Bouchachi | The Ohio State University | Atrophy, volume loss, normal volume |
Soumya S Prabha | TKM College of Engineering,Karicode | Alzheimer's Disease, Computer aided diagnosis, Texture, Classification |
Soumyajit Biswas | jadavpur university | AD/MCI /HC |
Soumyajit Podder | Chang Gung University | MRI, Alzheimer's Disease, Genomic MRI |
Soumyendu Sarkar | Hewlett Packard Enterprise | Brain MRI Alzheimer's CNN Reinforcement Learning |
SOURABH CHOUBEY | Indraprastha Institute of Information Technology Delhi | Detection, Machine Learning, Diagnosis |
Sourabh Puranik | Indian institute of technology, Delhi | Deep learning |
Sourabh Somvanshi | Liverpool John Moores University | AD Classification, Detection and Diagnosis |
Sourabh Verma | Vellore Institute of Technoloogy, Chennai | alzheimer's, dcnn |
Souradip Roy | North Dakota State University | DenseNet, Deep Learning, ALZHEIMER’S |
SOURAV BHATTACHARJEE | Ramakrishna Mission Vivekananda Educational and Research Institute | Machine Learning project on Alzheimer prediction. |
Sourav Pal | University of Wisconsin - Madison | Image analysis, cross-sectional, longitudinal data |
SOURAV R S | Mar Ivanios College | Deeplearning, Alzheimers |
Sourav Shukla | Jabalpur Engineering College | Alzheimer disease |
Sourav Thakur | Jadavpur University | machine learning |
Sourena Soheili-Nezhad | Donders Institute for Brain, Cognition, and Behaviour | TBM, ICA, WGS |
Souvik Modi | ESYA labs | Plasma biomarker, Alzheimer's disease, pTau, NfL, GFAP |
Souvik Sengupta | India | Biomedical medical image analysis, Deep Learning, Artificial Intelligence |
Sovesh Mohapatra | University of Massachusetts Amherst | DL, ML, WMH |
SOWMIYA K | B.S ABDUR RAHMAN UNIVERSITY | PREDICTIVE MODELING OF ALZHEIMER’S DISEASE |
Sowmya G | SSN College of Engineering | segmentation, reconstruction, brain |
Sowmya V L | BMS Institute of Technology | Radio-Genomics, Neurological disorders, MRI, GATK, Pyradiomics, NVIDIA, WGS |
Soyun Kim | UC Irvine | vision, hearing loss, biomarker, cognitive decline |
Soyun Park | University at Buffalo | DTI, classification |
Spencer Bowen | UT Southwestern Medical Center | PET, quantification, simulations |
Spencer Denton | Lighthouse Labs | Student Project Alzheimer Detection Project |
Spiffy Anderson | UCSF | Research, neurosurgery, cool, jazz, fun, vibes |
Spiro Janovic | University Hospital Zagreb | Teaching, lecturing |
Spiros Kostopoulos | University of West Attica | medical image analysis; radiomics |
spring huo | fds | machine learning |
Spyros Angelopoulos | Tilburg University | AI, neural networks |
Spyros Roumpanis | Roche | clustering, deep learning, machine learning |
sr you | Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences | experiment,3d generation |
Srayanta Mukherjee | Novartis | Deep Learning |
Sree Bhattacharyya | Indian Institute of Engineering Science and Technology, Shibpur | ADNI, AD Progression, Classification, Graph Convolutional Networks |
Sree Harsha Ankem | Indian institute of technology hyderabad | dementia. brain age, t1 weighted MRI. |
SREEDEV D | CommScope Inc. is an American global network infrastructure provider company bas | MRI |
Sreeja Pal | Sister Nivedita University | masters dissertation |
Sreejita Ghosh | DTU | bias |
Sreejith V | Model Engieering College Ernakulam | AD, Deeplearning |
Sreekrishna Ramakrishnapillai | Pennington Biomedical Research Center | Amyloids PET Alzheimer's |
Sreelakshmi C | htic | Deep learning |
SREELAKSHMI S | IIITM-K | Digital Image Processing based Detection of Brain Abnormality for Alzheimer’s d |
Sreelakshmi S | Indian Institute of Technology,Madras | MRI AD MCI Normal |
Sreelakshmi S | Indian Institute of Technology Madras | EMCI, LMCI, MCI, AD, MRI, ADNI 2 |
Sreelakshmi TR | Cochin University of science and technology | deeplearning,medicaal images |
Sreenath Acharath | University of Glasgow | Survival Analysis, Machine Learning |
Sreeni KG | College of Engineering Trivandrum | Machine learning, alzheimer's, classification |
Sreenivasulu Ummadi | Karunya Institute of Technology and Sciences | Python,Image Processing,Deep Learning,Genetic Algorithms,fMRI |
sreevani katabathula | case western reserve university | diagnosis, subcortical |
Sri sruthi Chilukuri | San Jose state university | Disease, outbreak, analysis , solution |
Sri Vivek Vanga | Gatech | demographics, CDR SB |
sridevi balne | KL University | convolution neural network, faster rcnn |
Sridevi Gamini | Aditya Engineering College | Image enhancement, image segmentation, image fusion |
Sridevi unnikrishnan | PSG College of Technology | Cognitive disability , Predictive model, Deep Learning |
SRIDHAR RAJAGOPALAN | MUTHAYAMMAL ENGINEERING COLLEGE | Brain Tumor, Magnetic Resonance Imaging (MRI), Gabor Filtering, Multi-set Featur |
Sridharan S | Coimbatore Institute of Technology | Academic |
Sridhevi Sundararajan | Symbiosis international university | Bio-marker, AD |
Sriharsha Devarapu | University of Wisconsin Madison | Alzheimer’s disease detection, Ensemble CNNs, Brain Image Analysis |
Srihitha Dasari | iResearch Institute | Alzheimer's disease, gray matter, white matter, hippocampal volumetry, MRI |
Srikanth Cherukuvada | SRM UNIVERSITY | Image classification, Alzheimer’s disease,Transfer learning, MRI,CNN |
Srilok Srinivasan | Self | Genentech's 404 Challenge |
Srinivasan A | CSIR-CMERI | Alzheimer's Disease |
Sriram Dharwada | Indian Institute of Information Technology, Nagpur | Deep Learning model using CNN and LSTM |
Srivathsa Pasumarthi | Subtle Medical Inc | GBCA |
Srivatsen B N | University of Stuttgart | Cluster Analysis |
SRIVIDHYA L | AMRITA VISHWA VIDYAPEETHAM | Alzheimer, MRI data |
Srividhya Venkat | CEG | AD |
SRUTHI D S | TKM College of Engineering Kollam | multi-modality diagnosis |
Sruthi Srinivasan | University of Cambridge | fNIRS, spatial averaging, cortical atlas |
Sruthika B | Vellore Institute of Technology | Alzheimer's disease, Tesla MRI data |
SRUTHY R | T K M COLLEGE OF ENGINEERING | RS-FMRI,MCI,CHAOS THEORY,ANFIS |
st zhang | northwestern polytechnical university | AI research |
Stacey Voll | University of Victoria | cognitive aging, period-cohort |
stalin babu | AITAM | DEEP LEARNING |
Stamatios Sotiropoulos | University of Nottingham | diffusion MRI, connectivity blueprints, resting-state connectivity, Connectomics |
Stanimira Krotneva | Evidera (part of ThermoFisher Scientific) | model AD therapies adnimerge |
Stanislav Kolpakov Nikitin | Duke University | Alzheimer, Bio-statistics |
Stanislav Sotnikov | City University of New York | Machine Learning, Evolutionary Algorithms, Artificial Intelligence |
Stanislav Sutovsky | Comenius University | Epistasis, Apolipoprotein E, Alzheimer's disease, MTHFR |
Stanislaw Adaszewski | F. Hoffmann - La Roche AG | imaging, genetics |
Stanley Kanagaraj | Cognizant | Deep Learning |
Stanley Ta | UTHealth at Houston | ML, deep learning, AI, mri, imaging, classification, thesis, predictive modeling |
starry sky | Harvard University | AD |
star_w star_w | Yunnan University | Yunnan University, Alzheimer's disease,multimodal analysis; |
Stavri Zinonos | University Of Southampton | thesis, brain-aging |
Steen Pedersen | Baylor College of Medicine | Alzheimer's MRI rsFMRI DTI |
Stefan Fischer | Friedrich-Alexander-University Erlangen-Nuremburg | GAN, Metastases Segmentation, Data Augmentation |
Stefan Frenzel | University Medicine Greifswald | Alzheimer's disease |
Stefan Grivalsky | Slovak University of Technology in Bratislava | prediction, deep learning, alzheimer |
Stefan Kachel | Stefan Kachel | Bias Field Correction, Skull stripping, Registration, Denoising, Normalization |
Stefan Lang | University of Toronto | resting state fmri |
Stefan Pantea | Transilvania University | hippocampus segmentation |
Stefan Teipel | University of Rostock | MCI, healthy aging, amyloid load, cholinergic basal forebrain, longitudinal |
Stefania Pezzoli | University of Sheffield | Alzheimer’s disease, neuropsychiatric symptoms, MRI |
Stefania Pezzoli | University of California, Berkeley | Bayesian psychometrics, memory, executive functioning, language |
Stefanie Remmele | University of Applied Sciences Landshut, Germany | AI, machine learning, stress tests, image classification |
Stefanie Schreiber | Otto-von-Guericke-Universität Magdeburg | cerebral small vessel disease |
Stefano Bianchi | Alma Mater Studiorum | Alzheimer, Programming, Mathematical Modelling, PET, MRI |
Stefano Blumberg | University College London | Experimental Design |
Stefano Cerri | DTU | segmentation atrophy |
stefano damiani | The Royal Hospital | Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance |
Stefano Delli Pizzi | Univesity of Chieti-Pescara | Alzheimer's Disease, Biomarkers |
Stefano Diciotti | University of Bologna | texture analysis, fractal analisys, machine leaning, MRI |
Stefano Huang | South China University of Technology | fMRI |
Stefano Magon | Roche | diffusion |
Stefano Sensi | University D'Annunzio Chieti-Pescara and University of California Irvine | MCI aging network segregation |
Stefanos Ioannou | King's College London | dissertation |
Stepan Hlushak | Nanostics Inc. | TADPOLE |
steph sun | USTC | mci |
stephan gebel | Fraunhofer Institute for Algorithms and Scientific Computing SCAI | Ontologies, Terminologies |
Stephan Krohn | Freie Universitaet Berlin | fractal dimension; computional image analysis; tissue complexity measures |
Stephan Wunderlich | TUM/LMU/Harvard | explainable AI |
Stephanie Buss | Beth Israel Deaconess Medical Center | cognitive reserve, exercise, education, music, social |
Stephanie Hsieh | Massachusetts General Hospital | Sex differences, Tau, Amyloid, PET |
Stephanie Liu | Hoag Hospital | cognitive reserve, functional impairment, depression |
Stephanie Liu | Hoag Hospital | cognitive reserve, functional impairment, depression |
Stephanie Rossi | UCSF/NCIRE | Lead, Leader, Freesurfer, ASL, SPM |
Stephanie Schultz | Massachusetts General Hospital | NT1, biomarkers |
Stephanie Simone | Temple University | biomarkers, neuropathology, dementia, outcomes |
Stephanie Vos | Maastricht University | amyloid tau |
Stephanos Leandrou | European University Cyprus | Alzheimer’s disease; Mild Cognitive Impairment; quantitative MRI; temporal lobe; |
Stephen Heun | Avid Radiopharmaceuticals | Flortaucipir |
Stephen Hilton | UCL School of Pharmacy | VR, Education |
Stephen Hogg | EMVision Medical Devices | MRI, anatomy, segmentation |
Stephen Hsu | Michigan State University | Machine Learning, Alzheimer's disease, genetic prediction, genetic architecture |
Stephen Johnston | Swansea University | Prosopagnosia, VBM, MRI |
Stephen Liddy | St Vincent's University Hospital | PET, white matter uptake |
Stephen Massa | UCSF | neurotrophin, NGF, BDNF, Trk, NGFR |
Stephen Mayhew | University of Birmingham | rsfMRI, networks, connectivity |
Stephen Ruhmel | Johnson & Johnson | speech biomarkers |
Stephen Schauer | Genentech | Exploratory CSF Plasma |
Stephen Strittmatter | Yale | progression, prion, nogo receptor |
Stephen Tsou | Carnegie Mellon University | robust vision models alzheimer's fmri |
Stephen Tsou | Carnegie Mellon University | neuroimaging, ad |
Stephen Wicks | Clarivate Analytics, LLC | neuroscience |
Stephen Yi | University of Texas at Austin | deep learning, multi-omics, patient stratification, drug discovery |
stephen Yip | Sun Yat-sen University | Prediction; analysis |
Stephen Zicha | Takeda Pharmaceuticals | plasma Abeta FNIH project |
Sterling Johnson | University of Wisconsin-Madison | tau, amyloid, pre symptomatic |
Steve Belle | University of Pittsburgh | AAIC,phenotype harmonization |
Steve Horvath | University of California Los Angeles | DNA methylation, SNP, epigenetic age, epigenetic clock, brain volume, MRI |
Steve Kreis | Invicro, LLC | performance |
Steven Adams | NCIRE (data scientist/statistician candidacy) | research |
Steven Armentrout | Parabon Computation | MDR, epistatis, cloud computing |
Steven Baete | NYU School of Medicine | Orientation Distribution Function analysis, Diffusion MRI |
Steven Barger | University of Arkansas for Medical Sciences | amyloid, PIB, florbetapir, prescription, drug |
Steven Bishay | Vanderbilt University Medical Center | FDG-PET, Brain, Alzheimer’s, DLB, FTD, liver transplant, hepatic encephalopathy |
Steven Chance | Oxford brain diagnostics | MRI, DTI, AD, MCI |
Steven Hill | University of Cambridge | risk prediction, biomarkers |
Steven Lang | UMMSM | neurology |
Steven Limcorn | The University of Queensland | Multimodal Perceiver |
Steven Wilson | University of Oklahoma | Network, DTI Tractography, Small World, Centrality |
Stewart Graham | Corewell health | epigenetics; biomarkers; Alzheimer's disease |
Stian Johnsen | BrainMiner Ltd. | CAD, AD, Software validation |
Stijn Denissen | Vrije Universiteit Brussel | MRI, Brain Age, Deep learning, Transfer Learning, Cognition |
Stiven Roytman | University of Michigan | machine learning, variational auto-encoder, PET |
Stuart Berr | University of Virginia | PET |
Stuart Grieve | Sydney University | Aging Brain, Dementia, Depression |
stuart s | uvce | Alzheimer's Disease |
STYLIANA MENELAOU | National and Kapodistrian University of Athens | Alzheimer's disease, MRI images, deep learning, convolutional neural networks |
Stylianos Charalampous | UCL | MRI; Machine learning; Deep Learning; Computer Vision; Tractography; |
Stylianos Chazichronis | National and Kapodistrian University of Athens | Alzheimer's disease, Supervised learning, AD development |
Su Bin Lim | Seoul National University | alzheimer's, morphometry |
su hang | East China Normal University | AD,brain network |
su hao | 広島大学 | adni |
su ning | Hebei North University | Alzheimer's disease |
Su Wenhao | Zhejiang Chinese Medical University | diabetic encephalopathy and AD |
Su Yan | Minerva Schools at KGI | Modeling |
Su Yang | Yunnan University | joint model;single-index model |
Su Yang | Seoul National University | Deep learning, brain segmentation |
su yixin | Jiangnan University | jiaoge666 |
su zhang | 南京邮电大学 | 阿尔兹海默症 诊断预测 |
su zhumin | 中山大学 | cerebral small vessel disease, Alzheimer's disease, cognitive function |
Su-Jin Baek | Korea Institute of Oriental Medicine | Alzehimer`s disease |
Subapriya Suppiah | UNIVERSITI PUTRA MALAYSIA | Alzheimer's disease, resting state fMRI, functional correctivity, deep learning |
Subaramya Srivishagan | Vavuniya Campus of the University of Jaffna | Alzheimer's, Deep learning, Brain network, DTI |
Subarna Chatterjee | RUAS | ML,DL |
Subash Poudyal | University of Southampton | CNN, Machine learning, Computational Neuroscience |
subbu subash | sankalpa software solutions | Neural Networks |
Subhabrata Roy | Jadavpur University | Alzheimer's disease |
Subhadeep Chandra | National Institute of Technology, Durgapur | CNN |
Subhadip Pal | University of louisville | tractography |
subhangi jena | IIIT | research work |
Subhankar Saha | University of Kalyani | For Project Purpose |
SUBHENDRA SARKAR | NYCCT, City University of New York, | Trauma, Veteran's, PET/MR, 3T vs 1.5T |
Subhrangshu Bit | Ramakrishna Mission Vivekananda Educational and Research Institute | Algorihtm, Machine Learning Preclinical Alzheimer's disease |
Subhranil Sarkar | University of Kalyani | prohject |
Subhrasish Chakraborty | REGN | Statistics, Biostatistics, Alzheimers's Disease, Data analysis |
Subin Lee | Seoul National University | atrophy; Alzheimer's disease; MCI |
Subin Ok | Kyunghee University | Alzheimer, CNN |
sudad saman | ELMS College | age, gender, hippocampus, AB beta, tau |
Sudam Yasodya | University of Moratuwa | Alzimer’s disease, MRI images |
Sudarshan Nandy | Amity University Kolkata | Machine Learning, Image Processing |
Sudeepa Bhattacharyya | Arkansas State University | metabolomics, neuroimaging |
Sudeepti Southekal | Avid | flortaucipir |
Sudeshna Paul | Emory University | equating methods, item response theory |
Sudha M | SASTRA University | CNN, MCI, AD |
Sudha Seshadri | University of Texas Health Sciences Center, San Antonio, TX | Alzheimer, CHARGE |
Sudhakar Tummala | University Medical Center Goettingen | Hippocampus profiling |
Sudhanshu Dixit | Jaypee Institute Of Information And Technology | Use ADNI dataset for College Project |
Sudhir Pathak | University of Pittsburgh | diffusion mri, tractography |
Sudhir Sivakumaran | Critical Path Institute | alzheimer's disease, drug development, disease progression, quantitative |
Sudip Mishra | Maulana Abul Kalam Azad University of Technology | CNN |
Sudipto Dolui | University of Pennsylvania | Arterial Spin Labeling, Cerebral Blood Flow |
Sue Chen | Jiangxi University of Finance and Economics | 121401 |
Sue Kulason | Johns Hopkins University | computational anatomy, longitudinal, ERC |
Sufiyan Adam | Atma Ram Sanatan Dharma College | CNN, Classification, Research |
Sugandha Roy | Washington University in St. Louis | Machine Learning, early detection of Alzheimer's disease |
suganthe rc | Kongu engineering college | deep learning algorithm, Machine Learning |
Suganya A | VIT University | Alzheimer, classification,deep learning |
SUHAIL AHMAD DAR | Aligarh Muslim University | Alzheimer's, MCI, Deep Learning , Diagnosis |
Suhail P | Independent | MRI Images |
Suhang Shang | Xi’an Jiaotong University | Alzheimer's |
Suhang Song | University of Georgia | Cognitive reserve |
suhas hj | JSS SCIENCE AND TECHNOLOGY UNIVERSITY | Alzheimer's disease, early diagnosis, machine learning |
Suhas P K | IIITB | Causality deep learning |
Suhib Irsheidat | Jordan University of Science and Technology | Deep,learning,comptuer,mri,images |
Suhong Kim | KAIST | Alzheimer's disease, deep learning. |
suhuai luo | The University of Newcastle | Alzheimer’s disease, dementia assessment, machine learning |
Suixia Zhang | Xinjiang medical university | AD images, clinical data |
Suixia Zhang | Xinjiang medical university | AD images, clinical data |
SUJATA Pal | BPPIMT | 1977 |
Sujin Yum | Kangwon National University Hosipital | Dementia; Neural Networks, Computer |
SUJIT MUKHERJEE | Calcutta University | Alzheimer's |
sujitha v | Kunsan National University | GCN |
SUJUNG OH | SAMSUNG MEDICAL CENTER | Dementia |
Suk Hyun Lee | Hallym University Kangnam Sacred Heart Hospital | Alzheimer's disease, PET |
Suk Ling Ma | The Chinese University of Hong Kong | Gene expression, signature panel |
Sukang Chae | POSTECH | Artificial Intelligence, medical image classification |
Sukanta Ghosh | Jadavpur University | MRI, Alzheimer's disease |
sukanta majumder | University of Kalyani | alzheimer |
Sukanta Tulo | INDIAN INSTITUTE OF TECHNOLOGY MADRAS | Mild Cognitive Impairment, Alzheimer's Disease, Diagnosis |
Sukrit Gupta | Institute for Infocomm Research, Agency for Science Technology and Research | Machine Learning; DTI; Alzheimer's Disease; Mild Cognitive Impairment |
Sukriye Kara | Eskisehir Osmangazi University | biomedical, feature extraction, classification |
Şükrü ÖZTÜRK | Graduate School of Science and Engineering | CNN, training parameters, hyperparameters, detecting Alzheimer's |
Sukrut Khot | The University of Sheffield | Multi-task Learning for Predicting Alzheimer's Disease Progression |
Sulagna Roy | University of Electronic Science and Technology of China (UESTC) | EEG, Dynamic functional connectivity, Alzheimer's Disease, Healthy controls |
sulaiman mohammed | king saud univarsity | 123456 |
Sulaiman Vesal | Stanford University | Brain MRI Registration, Deformable Registration. |
Sulantha Mathotaarachchi | McGill University | Machine Learning, Alzheimers |
Sule Anjomshoae | Umeå University | XAI GNN AD |
Suleiman Ampah | University of Ghana | Machine learning, Classifiers, Detection |
Sulev Koks | Perron Institute for Neurological and Translational Science | transposable elements, |
Sulogna Chowdhury | Kansas State University | Data Science |
Sultan Mohammad Manjur | University of Connecticut - Storrs & Regional Campuses | Alzheimer's Disease, MRI, Computer Vision, Machine learning |
Sultan YILDIZ | Istanbul Medipol University | MCI, fMR, MRI |
Sultana Umme Habiba | Green University of Bangladesh | CNN, Alzheimer’s |
Sultangazy Yergaliyev | City, University of London | dimensional reduction, neural network, pruning |
Suman Jayadev | University of Washington | organoid, transcriptomic |
Sumanth Badugu | National Institute of Technology, Silchar | Neuro Imaging, Deep Learning, MRI, FMRI, Alzheimer |
Sumanth Dara | University of California Riversid | MRI, Substantia Nigra, Locus Coeruleus, Machine Learning |
Sumanth Reddy Dondapati | KINGSTON UNIVERSITY | Data Mining, Lipidomics, Alzheimer's |
SUMAYA AKHTAR | UNIVERSITY OF KASHMIR | Deep Learning, Radiomic Analysis, Prediction Models |
SUMEDHA SIRIKONDA | University of Maryland Baltimore County | Alzeimers |
Sumeet Khetarpal | Massachusetts General Hospital | genetics, Alzheimer's diseaes |
Sumesh Vijayalakshmi | University of Wisconsin Parkside | Machine learning |
Sümeyye Aydın | Kayseri Üniversitesi | 3D neural networks, deep learning methods, new model |
Sümeyye Kızılışık | Graduate School of Natural and Applied Sciences | Deep Learning, Multi-modality, Classification |
sumin kim | nothing | study |
Sumit Madan | Fraunhofer SCAI | Data analysis, Routine data, Data mining |
Sumit Salunkhe | Symbiosis Institute of Technology | Alzheimers; GLCM; Neural Network |
Summer Decker | University of South Florida Morsani College of Medicine | morphometrics |
sun dengbo | Nanjing University of Science and Technology | Alzheimer’s disease |
sun fengzhu | Shandong First Medical University | zaqmlp101zaqmlp101 |
Sun Jb | Northeast Normal University | Precision medicine |
Sun Jiahao | Qingdao Municipal Hospital | sexcual hormones AD |
Sun JiaHui | Changzhou Institute of Technology | Research on amygdala nuclide genetically related network mining based on communi |
Sun Jiayu | Beijng University of Posts and Telecommunications | Study |
Sun jie | Shanghai University | medical image synthesies |
Sun Jingnan | Tsinghua University | neuroscience / artificial intelligence |
Sun Junxian | Huazhong University of Science and Technology | exploratory factor analysis,bayesian methods |
Sun Kyun Lee | University of Western Ontario | Alzheimer's disease, glutamate, microbleeds, hippocampus, diet |
sun lei | hebei | fmri |
Sun Menghan | Jinan Third People's Hospital | Alzheimer's diseaase |
Sun Mi Park | Kangwon National University Hospital | cognitive reserve, deep learning |
Sun Qixing | Whuhan University,China | for research |
sun ting | Guizhou Medical University | Alzheimer's disease |
sun xiaojun | Zhejiang Provincial People’s Hospital | fMRI |
Sun Xiaoxiao | Zhongnan University of Economics and Law | AIBL ADNI ADNIDOD |
Sun Yan | Qingdao Municipal Hospital | None |
Sun Yan | Harbin Engineering University | super-resolution,MRI |
sun yang | Yunnan University of Finance and Economics | image recognition |
SUN ZHENG | shanghai sixth peoples's hospital | no |
suna duan | 陕西师范大学 | ADNI |
Sundus Munir | Lahore Garrison University | dataset |
Suneel Sharma | NITTTR | MRI PET CT |
Suneet Gupta | Bennett University | Classification, Progression, FMRI, Volumetric Analysis, Protein Aggregation |
Sung Hyun Kim | Korea University | Alzheimer’s disease (AD), CNN, Deep Learning |
Sung Min Ha | Washington University in St. Louis | Alzheimer's Disease, Machine Learning |
Sung Wook Chung | The Bionics Institute | data analysis |
Sung-eun Jang | Dongguk univ. | machine learning, one-shot learning |
Sung-Ho Woo | Interdisciplinary Brain Research Institute, Dongguk University | Synthetic longitudinal MRI, Brain aging, Alzheimer's disease |
Sung-Woo Kim | Korea University | Neurodegeneration, Amyloid, Tau |
Sungeun Kim | State University of New York | imaging genetics |
Sunghong Park | Ajou University | Machine learning, Network analysis |
Sunghoon Choi | Korea Research Institute of Standards and Science | Generative adversarial network, synthetic PET |
Sunghwan Joo | Sung Kyun Kwan University | Trustworthy AI |
SungHwan Park | Handong Global University | Alzheimer's disease classification |
Sungman Jo | Seoul national university | deep learning, Frank's sign, WMH |
Sungmin Hong | Massachusetts General Hospital | Segmentation, Clinical-grade images, Shape Analysis, Longitudinal Shape Analysis |
sungwoo HUR | postech | multi-task learning, personalized learning |
Sungyang Jo | Asan medical center | Alzheimer's disease, pathophysiology |
Sungyong Park | Gwangju Institute of Science and Technology | Prediction of AD |
Sunidhi Gupta | NYU | Alzeihmer, dataset, predict |
sunija a p | National Institute of technology Tiruchirapallli | biomarker, OCT, artificial intelligence |
Sunil Kim | KAIST | Bayesian brain, free-energy principle, Alzheimer's |
Sunil Kumar | NIMHANS | Structural Functional Metabolic MRI |
SUNIL KUMAR | TEZPUR UNIVERSITY | Tezpur university |
Sunita Rani | Deakin University | dementia, elderly, time series |
sunitha mundru | acharya nagarjuna university | alzemer's disease |
Sunny F | Nankai University | ML |
Sunny Wang | Summer STEM Institute | GAN, CNN, Data Augmentation |
Sunrut Bishrut Mohanty | CCIR | Neuroscience, Machine Learning, Explainability |
Sunyeop Lee | Deepnoid | Deep learning |
Sunyu Hua | The second affiliated hospital of Soochow Unversity | Alzheimer’s disease;cortical thickness;cortical complexity |
suo chao | xiangtan university | Due to low intensity contrast around ROI boundary and large inter-subjectvarian |
Supratip Ghose | An-nan hospital | prediction |
Suprit Choudhury | Government College of Engineering Serampore | CNN |
Supriya Parikh | Ryerson University | MCI, cognitive assessments, clinical function, biomarkers |
Supriya Pillai | Self | AI, Data science |
SUPRIYA PRAKASH | GEC | A |
Supriyo Choudhury | Institute of Neurosciences Kolkata | teaching, learning, connectomics |
Suprosanna Shit | TUM | MRI Super-Resolution, Deep Learning, Convolutional Neural Network, GAN |
Supun Nakandala | University of California, San Diego | deep learning for medical imaging |
Supun Sameera | University of Jaffna | Alzheimer's disease |
Suraj Joshi | Hekma Inc | Alzheimer's Disease, Minority Population, Clinical Trials, AI, ML |
Suraj Kumar | Indian institute of technology Guwahati | Na |
Suraj Rajendran | Weill Cornell Graduate School | Missing Data, Imputation |
suraj shashidhar | Otto von guericke university | Harmonisation, Preprocessing |
Suraj Singh | C.V. RAMAN GLOBAL UNIVERSITY | Early stage alzhimer classification |
Surajit Kundu | Indian Institute of Technology Kharagpur | MRI, Skull-stripping |
Surajit Kundu | Indian Institute of Technology Kharagpur | MRI, Skull-stripping |
Suranjana Samanta | United Imaging Healthcare America | PET, CT, MR, GAN |
Surbhi Bhatia | King Faisal University | Dementia, Deep Learning |
Surbhi Sharma | dsssb | Deep Learning, Machine Learning |
Surendra Maharjan | Indiana University School of Medicine | diffusion mri |
Surendrabikram Thapa | Delhi Technological University | alzheimer's disease, classification, machine learning |
Suresh Jaganathan | SSN College of Engineering | Deep Learning, Stacked Auto Encoder, Multilayer Perceptron |
suresh kanaparthi | Maulana Azad National Institute of Technology (MANIT) | brain MRI |
Suresha H S Surya | Don Bosco Institute of Technology | ADNI DATA SET |
Suril Gohel | School of Health Professions, Rutgers University | PET, MRI, Alzheimer |
Suriyadeepan Ramamoorthy | Dublin City University | Synthetic Relational Data Generation, Clinical Trials |
surui hou | University at Buffalo | Longitudinal MRI |
Surya Rajan | University of Warwick | Iron, Alzheimer's, MRI, ADNI |
Surya Vishnubhatt | Weill Cornell Graduate School of Medical Science | speech, machine learning, hackathon |
Suryakanth Basavaraj | BMSITM | MRI,PET |
Suryansu Dash | College of Engineering and Technology, Bhubaneswar | Dementia Classification, Deep Learning, detection of onset |
Susan Baker | Janssen R&D | Diagonsis, Progression, Biomarkers |
Susan Boehnke | Queen's University | CSF biomarkers, lumbar puncture |
Susan De Santi | Eisai | Normal controls, Mild Cognitive impariment, biomarkers, cognition |
Susan Eaton | Biogen | biomarkers APOE progression |
SUSAN ELIAS | Vellore Institute of Technology | Federated Learning |
Susan Landau | UC Berkeley | PET FDG ROI |
Susanna Gobbi | Roche | MRI, resting states, aging |
Susanna Rossi | University of Milano-Bicocca | AD, MCI, episodic memory , asymmetry |
Susanne Mueller | UCSF | amylod, hypersnychrony, dynamic resting state analysis |
Susanne Schmid | University of Calgary | CNN, deep learning, LRP, age prediction |
Susanne Suter | FHNW | medical imaging, neuro-psychological scores, machine learning, visualization |
Sushmita Chauhan | pec university | Deep learning, machine learning |
SUSHMITA CHAUHAN | Punjab engineering college | deep learning,medical image processing,ai |
Sushmitha S | College of Engineering | Request for approval for accessing this dataset. |
susmita ghosh | Indian Statistical Institute | alzihmer |
SUSU ZHANG | XINJIANGMEDICALUNIVERSITY | voxel⁃based morphometry |
Suvojit Hazra | University of Calcutta | neuroimaging |
Suyash Ghadge | IIIT PUNE | Alzheimer Disease detection |
Suzanne Baker | Lawrence Berkeley National Lab | longitudinal glucose metabolism |
Suzanne Baker | Lawrence Berkeley National Laboratory | AV45, R1 |
Suzanne Pendl | Science 37 | functional connectivity |
Suzanne Schindler | Washington University | proteomics |
Suzee Lee | UCSF | frontotemporal dementia |
Sven Dekeyzer | University Hospital Ghent (UZG) | Cerebellar atrophy |
Svenja Caspers | University Düsseldorf; Research Centre Jülich | normal aging, interindividual variability, brain structure, connectivity |
Svetlana Oukraintseva | Duke University | Alzheimer's disease, aging, longevity, genes, heterogeneity, biomarkers |
Swakkhar Shatabda | United International University | Deep Learning, Dataset, Diagnosis |
Swapna Sankar | Cognizant Technology Solutions | Machine Learning model |
SWARUN RAJ R S | MODEL ENGINEERING COLLEGE | NEUROIMAGING |
Swathi Karra | Indiana University | Metabolomics, cardiac measures |
SWATHY K J | Bangalore Institute of Technology | Alzheimer's Disease, MRI |
Swati Ganesh Narkhede | San Jose State University | Alzheimer Disease dataset |
Swati Rai | IIIT Vadodara | 3D MRI, restoration |
Swati Rane | University of Washington Medical Center | Amyloid, FDG |
Swayam Banerjee | Jadavpur University | Deep Learning, Image processing, Alzheimer's Detection |
Sweta Banerjee | Leibniz Institute for Analytical Sciences - ISAS | Alzheimer's, imaging, python, coding |
Swetha Bhumireddy | University of Missouri - Kansas City | AI, Deep Learning, Artificial Intelligence, algorithm, PET, imaging, scans, UMKC |
Swetha Lenkala | Florida Polytechnic University | Alzheimer's , pre-trained models, ResNet-50 |
Swetha T | Karunya University | GWAS |
Swetlana Berger | UCB Biologicals | biological variability |
Sybren Van Hoornweder | UHasselt | Non-invasive brain stimulation |
Sydney Bertram | Clemson University | tbi, traumatic brain injury |
Syed Furqan Azeez | Biocliq Technologies | Brain Tumor |
Syed Muneebullah Hussaini | Vasavi College of Engineering | Deep Learning, Brain Disease Prognosis |
Syed Qasim Abbas | La Trobe University, Melbourne | Discriminate Atrophy Localization |
Syed Sabeeh Hassany | Boston College | deep learning, student, project, dataset |
Syed Taskeen Rahman | University of Texas Southwestern Medical Center | Neuroimaging |
Syed Umair Kazmi | Comsats University Islamabad Pakistan | Skull stripped data set |
Syed Zaidi | University of Arizona | alzheimers, Pipeline, Analysis, Machine learning |
Syed Zaidi | Center for Innovation in Brain Science | Gene, mutation |
Syed Zaidi | University of Technology, Sydney | Machine Learning |
Syifa Hasanah | ITB | final project |
Sylvain Lehmann | Montpellier University Hospital | Biomarkers, CSF, amyloid beta |
Sylvain Michel | Poznan University of Technology | AI |
Sylvain Perriot | Lausanne University Hospital | proteomics, genetics, stratification |
Sylvia S | Anna Univ | DL |
Symac Kim | Hanyang University | Alzheimer's disease, dementia, imaging biomarker, structural features |
Sysette Rasmussen | Copenhagen University | Data for master's thesis |
Szymon Dziewic | AGH | MRI image analysis, neural network |
Szymon Plotka | Warsaw University of Technology | machine learning, deep learning, computer vision |
Szymon Wilk | Poznan University of Technology | information fusion, machine learning, clinical decision support |
T Ramana Kumar | Individual | AD |
T. Bryan Jackson | Texas A&M University | cerebellum, functional connectivity |
Taban Eslami | Western Michigan University | Alzheimer's, classification, Machine Learning |
Tadej Tomanič | University of Ljubljana, Faculty of Mathematics and Physics | Alzheimer disease, ADRP |
Tadepalli Sairam | Vellore Institute of Technology | Alzheimers |
Tae Gyu Kim | Konkuk University | Research |
Tae Hyun Kim | University of Yonsei | Deep learning, Federated learning, Vertical Federated learning, Multimodality |
Tae-Min Choi | KAIST | Deep learning, classification, early diagnosis |
Taeho Jo | Indiana University | Tau |
Taehyo Kim | NYU | region detection |
Taein Lee | KAIST | Alzheimer, connectome, metabolism, depression |
Taeko Bourque | Carleton University | similarity network fusion, AD, MCI, aging, cognition |
Taewook Kim | Purdue University | Computer Vision |
Tafadzwa Zhakata | Chinhoyi University | Alzheimer Diagnosis using machine learning |
Taha Huda | University of South Florida | Immune Receptor Recombinations, HLA |
Taha Khan | FAST NUCES | PET |
Taha Muneeb Baluch | PAF KIET | Deep Learning |
taha yassine ayari | esprit | Alzheimer AI DATA |
Tahera Ahmed | Bond University | Alzheimer's, Early Detection, Prediction |
Tahir Arshad | harbin institute of technology | Image classification, computer vision, medical Image |
Tahir Mahmood | Dongguk University, Seoul, South Korea | deep learning, research, medical imaging |
Tahiru Mahama | The University of Texas at El Paso | GWAS, Marginal Integration Estimation |
TAHMINA Sumi | University of Chittagong | MildDemented ModerateDemented NonDemented VeryMildDemented |
TAI MA | East China Normal University | mt199763 |
Tai-Wei Wu | University of Southern California Keck School of Medicine | data science, alzheimers |
Taieba Mehbin | North South University | Machine learning, Neurological disease |
Taiji Tsunemi | Juntendo University | Parkinson's disease |
Taimur Shahzad Gill | National University of Sciences and Technology | Alzheimer's Disease Neuroimaging Initiative (ADNI) Deep Learning Algorithms Magn |
Taira Uehara | IUHW | DMN |
Takaaki Yoshimoto | National Institute for Physiological Sciences | resting-state functional connectivity |
Takafumi Kitagawa | Juntendo University | DTI, MRI, ADC |
Takamitsu Watanabe | University of Tokyo | energy landscape analysis |
Takanori Matsura | student | i don't know. |
Takashi Suzuki | JT | Alzheimer's disease, FDG-PET |
Takemi Rokugawa | SHIONOGI & CO., LTD. | machine learning, prediction |
Takeshi Teshima | The University of Tokyo | causality, machine learning |
Takis Benos | University of Pittsburgh | graphical models, machine learning, systems biology |
Takuma Kato | Kyoto University | AD |
Takuma Kobayashi | Osaka University | Deep Learning |
Takumi Uchida | Gifu-u | 3D GAN |
Takuro Shiiba | Teikyo University | deep learning |
Takuro Shimoyama | Iwate Prefectual University | MRI, Super-resolution imaging |
takuto okuno | RIKEN | granger causality |
Takuya Hashimoto | Gotanda Rehabilitation Hospital | Connectome; Diffusion MRI; Diffusion tensor imaging; Alzheimer's disease |
Takuya Sakurai | Fuji Xerox Co., Ltd. | multimodal deep neural networks, deep learning |
Tal Nuriel | Columbia University Irving Medical Center | MRI, Alzheimer's disease, deep learning |
Tal Sadeh | Tel Aviv university | TBI, PTSD,CSVD,CSF,PSQI, Blood test |
Tala Khoei | UND | Classification |
Talel GHOBBER | esprit | Détection Prédiction |
Talha Fathima A | St.Joseph's college of engineering | 3D CNN |
Talha Ilyas | Jeonbuk National University | Segmentation |
Talha Mahmud | GUB | DNN, Stage, prediction |
TALHA MUGHAL | Bahria Unversity Islamabad Pakistan | Alzheimer Disease analysis |
Talia Nir | USC | DTI, White Matter |
Talia Robinson | University of Georgia | aging, cognition, cardiovascular risk, DTI, |
Taliah Tajammal | University of Engineering and Technology Lahore | Alzheimer Disease, Research |
Taliah Tajammal | University of Engineering and Technology Lahore | Alzheimer Disease, Research |
Talib Al Shehhi | DMU | ANN; AI; Cognitive Attribute; Functional Attribute; ML |
Talya Jeter | Duke University | BrainSuite, volume, Alzheimer's disease, hippocampus |
Talya Nathan | Tel Aviv Sourasky Medical Center | MCI, Alzheimer's disease, neurodegenerative |
Tamar Foreman | Monash University | Alzheimer's Disease, Intrinsic Neural Timescale, fMRI, neurodynamics |
Tamar Schaap | NCIRE | Alzheimer's Disease, modelling |
Tamara Liberman | Izrael | oncology and immunology |
Tamara Mueller | Technical University of Munich | graph neural networks, differential privacy |
Tamara Shiner | Tel Aviv Sourasky Medical Center | DTI |
Tamare Adrien | University of Florida | amyloid/tau pathology, white matter hyperintensity, cognition, functioning |
Tamás Faludi | University Basel | Alzheimer's disease, MR, Machine Learning, Classification |
Tamas Spisak | University Hospital Essen | confounder bias, neuromarker |
Tamasha Malepathirana | University of Melbourne | Alzheimer disease, MCI |
TAMCHI YANI | RAJIV GANDHI UNIVERSITY | Alzheimer's Disease |
TAMCHI YANI | RAJIV GANDHI UNIVERSITY | Alzheimer's Disease, Feature Extraction, Feature Selection. |
Tamheeda Khan | Brandeis University | Financial Capacity Instrument, tau pathology |
TAMIL INIYAN GUNASEKARAN | Chosun University | SNP, GWAS, MRI, pathogenesis, neuronal damage. |
TAMIL INIYAN GUNASEKARAN | Chosun University | Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease |
tamoor malik | university of gujrat | fMRI dataset for Alzheimer diseases |
TAN JUNPENG | South China University of Technology | three-dimensional meshes; cortex represented |
Tan Li Tung | Universiti Teknologi PETRONAS | GAN,fMRI |
TAN WENYA | shanghai mfeducation | learning |
Tanay Agarwal | Vellore Institute of Technology | GAN |
Tancredi Canonico | Talento47 sas | AI, machine learning, early diagnosis |
Taner Tuncer | Firat University | machine learning |
Tang Chunyan | The second affiliated of Chongqing Medical University | tcy972626 |
Tang Huihong | southeast university | atrial fibrillation;cognitive impairment |
Tang Jing | the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical | default mode network Alzheimer's disease resting-state fMRI study |
Tang ru | sichuan unibersity | 123456 |
Tang Xilu | UESTC | Alzheimer's Disease;Medical classification |
tang yi | Chongqing University of Technology | Images |
TANG ZHENG | neu | DEEP LEARNING |
Tangyue Hu | 复旦大学 | collect data to complete scientific research experiments |
Tania Islam | Queensland Brain Institute | Neuroimaging study, Genetic correlation study, biomarker discovery |
Tania Prvan | Macquarie University | Generalised Linear Models |
Tanjida Kabir | University of Texas Health Science Center at Houston | Alzheimers, Glioblastoma, multimodal model |
Tanmay Debnath | PDPM IIITDMJ | bioinformatics, artificial intelligence |
Tanmay Santra | Indian Statistical Institute | mri |
Tanmay Sen | Ericsson | detection, Autoencoder, transformer |
Tannaz Saraei | Jena University Hospital | Longitudinal data, cognitive performance, GWAS, brain ageing |
Tanner Jacobson | Indiana University School of Medicine | GWAS, Multivariate |
Tanner VonWald-Villiard | University of Utah | DTI imaging, White matter volume, Alsheimer's |
Tanuj Rohilla | Department of Computer Science, University of Delhi | 1234567890 |
Tanupat Boonchalermvichien | University of Pittsburgh | causal inference, brain imaging, SNPs |
Tanvi Kapdi | The Maharaja Sayajirao University | Dementia Machine learning |
Tanvi Kulkarni | IIT Madras | Age analysis, AD, MCI |
tanvi pradhan | Rutgers University | ADNI data analysis for college project |
tanvi pradhan | Rutgers University | ADNI data analysis for college project |
Tanvir Alam | Hamad Bin Khalifa University | Alzheimer's Disease; Mild Cognitive Impairment; SNP; Machine Learning |
Tanya Batra | Liverpool John Moore's University | Alzheimer's, early diagnosis, deep learning, machine learning, data analysis |
Tanya Chenhall | Cogstate | Cogstate |
Tanya Garcia | Texas A&M University | T1-weighted MRI images; Cox regression; tensor covariates |
Tanya Joon | University of Alberta | PET Image |
Tanya Poppe | IXICO | Alzheimers |
tanzina tazreen | north south university | Alzheimer |
Tao Chan | Tsinghua Shenzhen International Graduate School | AD, hippocampus, deep learning, diagnosis |
Tao Chen | Wuhan University | Alzheimer’s Disease, visual features, MRI |
tao chen | south medical university | 联合基金 |
Tao Chen | HITSZ | AD, deep learning, diagnosis |
Tao Chen | Hefei University of Technology | Deep learning, machine learning |
Tao Chen | Hefei University of Technology | Deep learning, machine learning, classification |
Tao He | San Francisco State University | set-based association, pathway analysis |
Tao Hua | Huashan hospital, Fudan university | Alzheimer disease, amyloid-beta, tauopathy, congnition, PET |
tao li | Chongqing University of Posts and Telecommunications | 19814648928 |
TAO LIANG | Nanfang College Guangzhou | liang0705 |
Tao Liu | Hainan General Hospital | multiple sets of data, Alzheimer's disease, machine learning |
Tao Shen | National University of Singapore | AD, progression prediction, machine learning, precision medicine |
Tao Song | McLean Hospital | Neuroinflammation, Oxidative stress |
Tao Sun | University of Pittsburgh | Alzheimer's disease, deep learning, progression prediction |
Tao Sun | MGH | kinetic modeling |
Tao Sun | Renmin University of China | deep learning, prediction, AD progression |
Tao Sun | Shanghai Sixth People's Hospital | Metabolomic |
Tao Tan | GE healthcare | image quality |
Tao Tiantong | Southeast University, China. | AD risk, bioinformatics |
Tao Wenqi | Southeast University | MCI, AD, brain age gap, MRI, brain aging |
Tao Xie | Sun Sat-Sen University | GWAS; Brain Imaging Genomics |
tao xinjie | www.hnhui.com | machine diagnosis deeplearning |
TAO YANG | Centrol South University | multiomics,AD |
Tao Zhang | Subtle Medical | deep learning; low-dose PET |
Tao Zhang | Shandong University | Functional Joint Model |
Tao Zhang | CQUPT | brain net |
Tao Zhou | Xinjiang Medical University | prediction model; longitudinal data; Alzheimer’s Disease |
Tao Zikun | Weifang Medical University | data analysis |
tao zuitian | northeastern university | machine learning |
Tao-Ran Li | Xuanwu Hospital of Capital Medical University | Alzheimer's disease; subjective cognitive decline; biomarkers; features; FDG |
taofeng xie | Inner Mongolia Medical University | 36441xtf |
Taojun Hu | Peking University | diagnostic biomarkers, prognostic biomarkers, Alzheimer's disease, causal model |
Tapabrata Biswas | Alzheimer's research | Alzheimer's research |
Tapas Sinha | NEHU | Alzhiemer's, Phase /Frequency plots of eeg, Bifurcation plots, Coherence Map |
Tapotosh Ghosh | United International University | Federated learning, augmentation |
Taps Maiti | Michigan State University | Bayesian, network, functional connectivity, precision, transition |
Taqweeem Tariq | University of Agriculture Faislabad | Mri data for alzheimer disease image classification |
Tara Albrecht | Copenhagen Business School | gene, alzheimer, analyzing |
Tara Carlisle | University of Colorado Anschutz Medical Campus | Psychometric cognitive reserve, sex-differences, AD biomarkers |
Tara Gingrich | University of Pittsburgh | Alzheimer's |
Tara Smith | Med-life Discoveries | lipids, dementia, ethanolamines |
Taravat Ghafourian | Nova Southeastern University | Alzheimer disease, disease progression model, machine learning, decision trees |
Taravat Part | Shahid Beheshti University | Image Generation, Genertaive adversarial Neural Networks, Disease Progression |
Tarek Abd El-Hafeez | Minia University | AI |
Tarek ABDENNAJI | ENIT | Neuron |
Tariq Bdair | Technical University of Munich | SSL segmentation |
Tarique Husaain | H2O.ai | Genentech's 404 Challenge |
Tarja Malm | University of Eastern Finland | miRNA microglia phagocytosis |
Tark Patel | The Scientific Computing and Imaging Institute | dti, tensor, visualization, uncertainty |
Tarun Chandrasekhar | IITD | Alzheimer's Prediction |
Tarun Goswami | Wright State University | TBI, Cranial compliance, morphometry |
TARUN KAUSHIK | AMITY UNIVERSITY | TO DETECT AD USING MATLAB. |
Tarun Saxena | Indian Institute of Information Technology Nagpur | Alzheimer's Disease Detection, Deep Learning |
Taslima Miah | University of Plymouth | University of Plymouth academic research project |
Tasnim Ahmed | Islamic University of Technology | Biomedical Image Processing, Neural Networks, Machine Learning |
Tasnim Binte Shiraj | Bangladesh University of Professionals | Genetic variants, Sequencing |
Tasnim Binte Shiraj | Bangladesh University of Professionals | Genetic variants, Sequencing |
Tasnim Binte Shiraj | Bangladesh University of Professionals | Genetic variants, Sequencing |
Tasnuva Tabassum | Jahangirnagar University | ADNI, ADNI-1 |
Tatiana Gurova | Birkbeck, University of London | Risk Assessment, Machine learning, Cognitive decline |
Tatiana Sitnikova | Harvard Medical School | large-scale neural networks, dynamic activations |
Tatiana Zemskova | Dassault Systemes | diffusion MRI |
TATIANE BISTULFI | UNIVERSIDADE DE SÃO PAULO | ANN, Alzheimer, Machine Learning, PREDICT,ANALYSIS |
Tau Ming Liew | National University of Singapore | Neuropsychiatric symptoms, dementia, brain region |
Tavia Evans | Erasmus MC | Neuroimaging, Diversity, |
Tawatchai Ekjeen | Faculty of Medical Technology | Maching Learning, PET, Alzheimer's Disease |
Tawsifur Rahman | University of Dhaka | Alzheime, CNN, Transfer learnin, deep learning |
Tayaba Abbasi | Khalifa University | Dementia, machine learning |
Tayla Clasper | University of Auckland | Alzheimer's disease, lifestyle, ageing, mild cognitive impairment |
Taylor Ariko | Florida State University | DTI, Alzheimer's Disease, connectivity |
Taylor Ariko | University of Miami | Alzheimer's disease, hearing |
Taylor Howell | UCSF | online validation |
Taylor Levine | Washington University | preclinical Alzheimer disease; spatial navigation |
Taylor Schmitz | University of Western Ontario | Alzheimer's disease, cholinergic system, basal forebrain, lipids |
Taylor Sullivan | Carnegie Mellon University | Deep learning research, dementia prediction model, academic project |
Taylore Givens | Stanford | tau |
Tayo Obafemi-Ajayi | Missouri State University | convolution neural network, MRI, classification, deep learning |
Tayyaba Shahwar | Superior University | 123 |
Tazuko K. Goto | Tokyo Dental College | Alzheimer Disease, tooth |
td c | 梦孚教育科技有限公司 | deep learning |
Ted Kheng Siang Ng | National University of Singapore | BDNF, biomarker, MCI, cognition |
Teena Sharma | The University of Tennessee Health Science Center | Machine Learning, Alzheimer’s diseases, Precision medicine, Data analysis |
TehYang Hwa | Academia Sinica | Image analysis |
Tejal Shah | Macquarie University | cardiac, cognition, preclinical, amyloid |
Tejas Patange | Indian Institute of Technology Jodhpur | Deep Learning |
Tejasri K | Columbia University | Alzheimers |
Tejasvi Kainth | WRHA | Psychiatry, medicine, cognition, neuropsychiatry |
Tejus Rao | Liverpool John Moores University | Deep Learning, Machine Learning |
Tejus Rao | Liverpool John Moores University | ADNI, Deep Learning, AI, ML |
Tekumudi Vivek Sai Surya Chaitanya | Amrita Vishwa Vidyapeetham | Alzheimer's disease, Machine learning techniques |
Teng Jiang | Nanjing First Hospital | Alzheimer's disease, Neuroinflammation, Biomarker |
Teng Ye | The First Affiliated Hospital of Wenzhou Medical University | Testosterone, AD, hippocampus, brain glucose metabolism. |
Teng yingzhi | xidian university | reconstruct functional connectivity;distinguish disease |
Teng Zhang | Zhejiang University | Algorithm, Diffusion MRI, PET |
Teng Zhang | Zhejiang University | Algorithm, DTI, fMRI, PET |
Teng Zhang | Nanjing University of Information Science & Technology | Brain network |
Teng-Yi Huang | National Taiwan University of Science and Technology | deep learning |
Tengfei Guo | University of California, Berkeley | Alzheimer's disease; amyloid; tau; neurodegeneration |
Tengfei Li | University of North Carolina at Chapel Hill | GWAS; UKBiobank; Imaging genetics |
Tengfei Li | University of North Carolina at Chapel Hill | GWAS; UK Biobank |
Tengyu Ma | Dalian University of technology | image registration |
Tenielle Porter | Edith Cowan University | Genetics, MRI, Cortisol |
Tensho Yamao | Fukushima Medical University | Deep Learning, multi-modal, ATN classification, amyloid PET, tau PET, MRI, AD |
Teodora Petrovic | University of Belgrade - School of Electrical Engineering | Bachelor thesis dataset |
terence wu | siat | deep learning; mri |
Teresa María Alarcos Tamayo | WstartupC | ML, AI, Alzheimer |
Teresa Scheidt | Lund University | dMRI, biomarker, gray matter, AD |
Teresa Tsai | Acdemia Sinica | Deep learning |
Terra Kruger | Johnson & Johnson | Clinical Pharmacology, Biomarkers |
Terrence Fisher | Vaccinex, Inc. | pepinemab, SEMA4D, FDG-PET |
terry Lee | SYSU | multiple cause confounding |
teruhiro nakajima | JT Inc | Imaging |
Teruka Taketa | University of Sheffield | Dementia, Alzheimer's, Feature Selection, Machine Learning, Neuropathology |
Teruyuki Matsuoka | Kyoto Prefectural University of Medicine | Pineal volume |
Tesfaye Wolde | Siksha O Anusandhan University | CNN classification of brain MRI |
Tess Cersonsky | Brown University | AD Risk, Machine Learning, Predictive Modeling |
Tessa Beijloos | Tilburg University | vader model |
Tessa Berry | Blue Cross Blue Shield of Illinois | deep learning, POC |
Testouri Walid | Ecole Supérieure Privée d'Ingénierie et de Technologies - Esprit | alzeimer disease- machine learning |
Tetiana Habuza | UAE University | brain atrophy,VBM |
Tetsutaro Ono | Dai Nippon Printing | Alzhemer’s disease, Mild cognitive impairment, MRI |
Teva Ilan | University of Wisconsin-Madison | Deep Learning, Alzheimer's disease |
Thad Brown | Personal Interest | pydicom |
Thahseema Thajuddeen | COLLEGE OF ENGINEERING KARUNAGAPPALLY | ADNI dataset |
Thai Hung Le | Deakin University | Alzheimer, disease progression, reinforcement learning |
Thalyson Gomes | IFCE | Data Analysis, ML |
Thamil Vani S | PSG College Of Technology | Early Prediction,Alzheimer,ADNI dataset,Innovation,Project,College |
Thamires Magalhaes | Texas A&M University | Neuroimaging, Alzheimer's disease, biomarkers |
Thamizhvani TR | Vels Institute of Science,Technology and Advanced studies | Early diagnosis, MRI images, deep learning |
Thanaphong Phongpreecha | Stanford University | machine learning, polygenetic risk, diagnosis |
thang Nguyen quoc | Vinmec International Hospital | alzheimer's disease PET/CT |
Thanh Le | University of Economics Hochiminh City | Alzheimer, Deep Learning, LSTM, Attention technology |
Thanh Nguyen | University of Windsor | Computer Vision, Deep Learning |
Thanh Phuong Vu | Gwangju Institute of Science and Technology | Alzheimer, MRI, Deep Learning |
Thanh Thuy Dao | The university of Queensland | neuroimaging, reproducibility |
Thanh Vân Phan | icometrix | educational program, neuroimaging, clinical practice |
Thanh Vinh Vo | National University of Singapore | ADAS-Cog, ADNI |
Thanh Vu | Vietnam national university, hanoi/ University of Engineering and Technology | Alzheimer’s disease diagnosis, bag of feature, canonical correlation analysis, |
Thanikachalam Mannangatti | National Institute of Technology Arunachal Pradesh | Ph.D. |
Tharun Bhaskar Sigasarapu | National Institute of Technology, Warangal | alzhemiers, Non-cognitive impairments, dementia |
tharun kota | Central University of Punjab | machine learning,bioinformatics tools |
Thayanna Magalhães | USP -University of São Paulo at São Carlos | convolutional, neural, dementia, Alzheimer, deep learning |
thebti Boutheina | Monastir | neuro imagerie, alzheimer disease, multiple sclerosis |
Theerasarn Pianpanit | Kasetsart University | Machine learning, XAI |
Themis Exarchos | Ionian University | Disease progression, prediction, mathematical model, Alzheimer’s, Parkinson's |
Thennal D K | Indian Institute of Information Technology | Genetech 404 Challenge, Machine Learning, Missing Data Algorithms |
Theo Wang | Ocean University of China | scientific research |
Theodore LaGrow | Georgia Institute of Technology | co-activation, rs-fMRI, Alzheimer's |
THEODOROS DIAKONIDIS | ARISTOTLE UNIVERSITY OF THESSALONIKI GREECE | deep learning, CNN |
THEODOROS KOUKOPOULOS | University of Patras | Diploma thesis, Alzheimer, MRI, machine learning, CNNs |
Theone Paterson | University of Victoria | memory, language, executive function, bayesian psychometrics, cognition, aging |
Theresa Harrison | University of California Berkeley | causal mediation |
Theresa Harrison | University of California Berkeley | PET Core analyses and support |
Theresa Hiu | UTAR | Alzheimer's Disease, Deep Learning |
Theresa Köbe | McGill University | tau, vascular risk factors, Aß, cognitively normal individuals, MCI, AD |
Theresa Manalo | University of the Philippines Los Baños | mild cognitive impairment, conversion, classification |
Thiago Cardoso | University College Dublin | Statistics - Functional Data Analysis - fdaPDE |
Thibaud Brochet | Université de Rouen / LITIS | Deep Learning Classification Segmentation Unsupervised multitask |
Thien Duy Nguyen | University of North Florida | apoE isoforms, neurofibrillary tangles, EVs, exosome secretion pathway |
Thierry Phenix | Hospices Cantonaux CHUV | Alzheimer, bayesian modelisation |
thierry urruty | xlim | longitudinal classification |
Thiri Wai | National Taiwan University | Longitudinal Study, Alzheimer's Disease, Deep Learning, Speech |
Thirumagal Jayaraman | Indian Institute of Technology Kharagpur | atrophy, Alzheimers, classification |
Thomas Alscher | University of Copenhagen | Image registration; Topology change |
Thomas Andrews | Imperial College London | Machine Learning, AI, near-symbolic AI |
Thomas Arnold | University of Pennsylvania | Cortical thickness, cortical atrophy |
Thomas BONNIER | Independent researcher | Distribution shift, OOD detection, multimodal models, neurodegenerative diseases |
Thomas Burnand | Birkbeck University of London | Alzheimers Machine Learning |
Thomas Carr | University of East Anglia / Norfolk & Norwich University Hospitals | Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning |
Thomas Cope | University of Michigan | machine learning |
Thomas DeRamus | Massachusetts General Hospital, Brigham | Alzheimer's, MCI, computer-based |
Thomas Earnest | Washington University | Alzheimer's, machine learning, data science |
Thomas Gates | St Vincent's Centre for Applied Medical Research | florbetaben PET, SUVr |
Thomas Germer | Heinrich-Heine-University Düsseldorf | Mean |
Thomas Gross | University of California, Irvine | brain tissue microstructure, cognition, metabolomics |
Thomas Jacquemont | Institut du Cerveau et de la Moelle | Alzheimer, SNAPs, DWI, connectomics |
Thomas kandris | Hoag Memorial Hospital Presbyterian | alchol use disorder, alcohol use, depression, alzheimer's disease |
Thomas Kaufman | Individual | kaggle |
Thomas Lancaster | Cardiff University | polygenic risk score; ASL; cerebral blood flow; GWAS |
Thomas Laurent | Clinical Study | Progression; Sojourn time; Severity |
Thomas Liebmann | Darmiyan | early detection, machine learning, AI, dementia |
Thomas Lindner | UKE Hamburg | twin; DTI; |
Thomas Lucchetta | Universidad Favaloro | Machine Learning, Alzheimer, Lewys, Parkinson, Neuroimage |
Thomas Michelotti | Erasmus Medical Center | TADPOLE |
Thomas Murdy | The Jackson Laboratory | Amygdala, hippocampus, cognitive function |
Thomas Nedelec | Inria | blood detection; biomarkers; alzheimer |
Thomas Nelson | Marshall University School of Medicine | ApoE, Alzheimer's disease |
Thomas Neylan | UCSF and San Francisco VAMC | PTSD, Traumatic Brain Injury, Cognitive Performance |
Thomas Parker | Imperial College London | Alzheimer's disease, centile, brainchart |
Thomas Pritchard | Swansea university | Brain Phantom, Hydrogel, Deep Brain Stimulation, Traumatic Injury |
Thomas Rowe | Cardiff University | machine learning, genetics |
Thomas Sandmann | Denali Therapeutics | TREM2, Progranulin, biomarker |
Thomas Schneider | Technical University of Munich; The Cantonal Hospital of St.Gallen | Atlas-based-Morphometry, MCI, Prognosis, Classifier, Validation, Retrospective |
Thomas Shaw | The University of Queensland | Hippocampus, longitudinal, methods |
Thomas Soeder | CATO SMS | mild AD, cognition, inflammation |
Thomas TITRE | Sorbonne Université Paris | Machine Learning - Alzheimer's Disease.prevent |
Thomas tot | ISEN | MRI alzeimer |
Thomas Tran | University of Texas at Arlington | Gaining a better understanding of data science. |
Thomas Tropea | University of Pennsylvania | AD biomarkers, ptau |
Thomas Vernier | École Nationale des Ponts et Chaussées | Biomarkers, data science, prediction |
Thomas Wingo | Emory University | Genetic, |
Thomas Wolfers | University of Tuebingen | normative modeling |
Thomaz Rodrigues Mostardeiro | Mayo Clinic | MRI Fingerprinting, Artificial Intelligence |
Thommen Karimpanal George | Deakin University | dementia progression, reinforcement learning |
Thorsten Kahnt | Northwestern University Feinberg School of Medicine | white matter integrity; olfaction; lateral olfactory tract |
Threerapong Songtibuy | Mahidol University | MRI, Alzheimer , AD , MCI , Mild Cognitive Impairment |
Thushara A | TKM College of Engineering | AD,MCI,Brain graph, rsfmri,DTI,Tractography |
Ti Yang | gongli hospital | pharmacy |
Tia Lal | University of Texas Health Science Center at Houston School of Public Health | Stochastic analysis, Markov modeling |
Tiago Falk | INRS | AI, multimodal, signal processing |
Tiago Oliveira | University of Minho | Biomarker, CSF, MRI, Alzheimer, tau, Abeta |
Tian Deng | Sun yat sen university | artificial intelligence,Medical image processing |
tian feng | First Affiliated Hospital of Chongqing Medical university | neuroimaging Tau |
Tian Ge | Athinoula A. Martinos Center for Biomedical Imaging | neuroimaging genetics |
Tian Le | 南昌大学 | dynamic pet |
Tian Li | Carnegie Mellon University | distributed machine learning, optimization algorithms |
Tian Sun | Weifang Medical University | Prognosis of Alzheimer's disease |
Tian Swee Tan | Universiti Teknologi Malaysia | Brain volume; segmentation; |
Tian Tian | University of Missouri-Columbia | Additive Cox model, Bernstein polynomials, Interval censoring, Sieve estimation |
tian wang | Sichuan University | research |
Tian Wenfeng | Tsinghua University | PET reconstruction;PET/MR |
tian wu | 曲阜师范大学 | brain imaging genetics |
Tian Xia | The University of Edinburgh | Age, Alzheimer's disease |
tian xia | Ningbo University | deep learning |
TIAN XIONG | University of Shanghai for Science and Technology | CNN; Alzheimer's-disease; CAM; Medical image classification |
Tian Xu | University of Chinese Academy of Sciences | DTI |
Tian Zhu | Shandong Normal University | disease diagnosis |
Tianchen Song | Johns Hopkins University | AD, diagnosis, classification |
tianfeng ke | University of Macau | transformer |
tianhao shan | Capital Medical University | diagnostic scales,the absence of a gold standard |
Tianhao Zhang | Institute of High Energy Physics, CAS | PET FDG PIB AV45 |
Tianhua Chen | University of Huddersfield | fuzzy systems, convolutional neural network, clinical decision support |
Tianhua Yang | west china hospital/sichuan university | Alzheimer’s disease, APOE genotype, basal forebrain, dynamic, fMRI |
Tianhui Wang | Rutgers | sMVCCA method, |
Tianjia Zhu | University of Pennsylvania | Alzheimer's, multi-modal, biomarker |
Tianjiao Zhang | Shanghai Jiao Tong University | AD classification |
Tiankai Xie | University of Minnesota | MCI, Bayesain, |
Tianling Hou | University of Pittsburgh | Alzheimer's disease, multimodal, deep learning, transfer learning |
Tianling Liu | Tianjin University | multi-task, contrastive learning |
Tianmi Yang | West China Hospital, Sichuan University | Alzheimer's disease, DNA methylation, epigenetics, vascular risk factors, diabet |
Tianming Zhu | National University Of Singapore | Cognitive Impairment; Prediction |
Tianming Zhu | National Institute of Education | Functional data anlysis |
Tianmu ma | Nanjing | AD |
Tianqi Chen | Yale University | longitudinal analysis, bayesian, trajectory |
Tianqi Cheng | Shandong University of Technology | medical image registration |
Tianqi Xu | KAUST | Course project, Generative modeling |
Tianqi Zhao | JiLin University | brain image |
Tianran Li | Fudan University | image registration |
Tianren Yang | Florida International University | GCN, classification |
Tianshe He | Columbia University | deep learning, data imputation, longitudinal data, neuralnetworks |
Tiantian He | University College London | AD disease progrssion |
Tiantian Liu | Beijing Institute of Technology | fMRI, clustering, network analysis |
Tiantian Qiu | Linyi People’s Hospital | subjective cognitive decline |
tianting yuan | Xuzhou Medical University | Classification prediction;Algorithm |
Tianxing Li | UMass Amherst | Multimodal learning |
Tianxu Lv | Jiangnan University | fMRI |
tianyao qiang | Capital Medical Uninersity | Protection of human research subjects |
Tianyi Xia | Southeast University | fMRI |
Tianyi Yang | USC | medical images, neural network |
Tianyi zhang | Zhejiang University | Alzheimer's disease; functional connectivity; insula; mild cognitive impairment; |
tianyi zheng | afi | machine learning |
Tianyu Han | RWTH Aachen University | uncertainty estimation |
TianYu Li | NanJing Medical University | convolution neural network model |
Tianyu Liu | Shandong Normal University | GCN, Self-attention |
Tianyu Liu | Shandong Normal University | Disease Prediction and Diagnosis; Image Analysis; Biomarker Investigation |
tianyu ma | Tsinghua University | image reconstruction, joint reconstruction, kinetic modeling, multicenter study |
Tianyu Xiong | National University of Singapore | multi-class classification of Alzheimer's disease stages |
Tianyuan Song | Beijing University of Posts and Telecommunications | AD model pretraining |
tianze wang | Sichuan University | 11 |
Tiara Starks | University of Kentucky | neuroimaging, biomarker, MRI, race, aging |
Tie-Qiang Li | Karolinska Institute | denoising, AI |
Tien Le | HCMUS | ADNI, VGG |
Tien Nguyen | The University Medicine Göttingen (UMG) | deep learning, medical imaging, federated learning |
Tien-Wen Lee | Lee's General Hospital | psychiatry, bipolar disorder, depression, resting state fMRI |
Tieqiang Li | Karolinska Institute | aging, connectivity, functional brain network |
Tiew Yuan You | UTMKL | Deep Learning Segmentation |
Tiing Yee Siow | Chang Gung Memorial Hospital | Glymphatic function, Alzheimer Disease |
Tim Adams | Fraunhofer SCAI | synthetic data, data privacy, data quality |
Tim Beasley | Tsinghua University | Machine Learning, Statistical Modeling |
Tim Blackwell | Goldsmiths, University of London | Dementia risk |
Tim Fish | Changan University | image analysis |
Tim Hill | Private researcher | Alzheimers, deep learning, CNN, MRI |
Tim Kacprowski | Technical University Braunschweig | machine learning, deep learning, classification, clustering |
Tim Meese | Aston University | Brain image 3D target detection |
Tim Riedel | Hasso Plattner Institute | machine-learning, model, vision-transformer, autoencoder, masked-image-modelling |
Tim Rörup | Friedrich-Alexander Universität Erlangen-Nürnberg | Deep Learning, Neural Network, Six-Class-Classification |
Tim West | C2N Diagnostics | Blood biomarker |
Timo Oberstein | Friedrich-Alexander University | Alzheimer, VBM, plasma, biomarker |
Timothé Mazard | Ecole de Technologie Supérieure Montréal | CNN 3D CEA |
Timothy Banh | University of California, San Francisco | MCI, disease progression |
Timothy Chang | University of California, Los Angeles | Rare variant analyses, genetics, whole genome sequencing |
Timothy Chun | Veteran's Affairs | Machine Learning |
Timothy Cox | CISRO | Cognitive Composites, PACC, Disease trajectory |
Timothy Hackett | University of Nebraska - Lincoln | aging, stiffness, biochemistry |
Timothy Hohman | Vanderbilt University School of Medicine | Genetics, Resilience, Asymptomatic, |
Timothy Howton | University of Alabama at Birmingham | Genomic Instability, Chromosomal Instability, Copy Number Variation, Alzheimer |
Timothy Lawn | King's college London | Neurodegeneration, Alzheiemer's disease, Pain |
Timothy Siegert | Allyx Therapeutics Inc. | MRI FDG-PET |
Timothy Swan | Biogen | Alzheimer's Progression Biomarkers |
Tin Nguyen | Sai Gon University | Brain's Image Segmentation |
Tin Vlasic | University of Zagreb Faculty of Electrical Engineering and Computing | Positron Emission Tomography, CNNs, Residual Blocks, UNet |
Tina Babu | Dayananda Sagar University | artificial intelligence, artificial neural network, image classification, machin |
Tina Behrouzi | University of Toronto | GSP for brain mapping |
Tina Rodriguez | University of Chicago | biomarkers, data inventory, data transparency |
tina salehi | University of Florida | Alzhimer, machine lerning |
Tina Winnie | Zhongnan University of Economics and Law | test |
Ting Hu | Queen's University | Machine Learning, Artificial Intelligence, Metabolomics |
ting hu | sichuan university | MRI,pseudo CT, CNN, GAN |
ting li | Beijing Institute of Technology | AD analysis, fMRI, DTI |
Ting Li | Dongzhimen Hospital BUCM | Cognitive assessment |
Ting Li | Beijing Normal University | cognitive control |
Ting Qiu | Douglas mental health university research center | diffusion MRI, multimodel, multiset,AD |
Ting Tian | Sun Yat-sen University | Machine learning, deep learning, Phenome-Wide Association Studies |
Ting Tian | Nanjing Medical University | cognitive impairment |
TING WEI WENG | Taipei Medical University Hospital | AI, biomarkers, healthy aging, dementia, cardiovascular diseases |
Ting Wu | The First Affiliated Hospital of Nanjing Medical University | Alzheimer’s disease, cognitive function, machine learning |
Ting Yuan | University of Exeter | CSF protein, cognitive function, brain structure, Alzheimer's disease |
Ting-Huei Chen | Laval University | structural equation modeling |
tingjie li | Chongqing Medical University | morphological changes |
Tingshan Liu | Smith College | Longitudinal, graph theory, Alzheimer's Disease |
Tingsheng Feng | Beijing University of Aeronautics and Astronautics | 197234tL |
tingsong xiao | University of Electronic Science and Technology of China | interpretability |
Tingting Chen | Henan University | research, medical diagnosis |
TIngting Li | Fudan University | individualized treatment |
Tingting Liu | Henan University | Parkinson's disease |
Tingting Lv | Nanjing Normal University | Machine Learing |
TINGTING WANG | Baker Heart and Diabetes Institute | Longitudinal |
tingting yuan | Beijing Hospital | Alzheimer’s disease;urine;biomarker |
Tingting Zhang | University of Electronic Science and Technology of China | Classification,MCI |
TingWei Zhou | Zhejiang University of Technology | medical image registration |
Tingyang daun | Zhuhai College of Science and Technology | a preliminary prediction |
Tingying Helen Zeng | Academy for Advanced Research and Development | Machine learning, Alzheimer's disease stage classification |
Tingyu Lv | Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Med | MCI cognitive circuit connectivity |
TirathaRaj Singh | Jaypee University of Information Technology (JUIT) | Data Mining, Image Processing, Pattern Recognition |
Tirtha Chanda | University of Magdeburg, Germany | disease |
Tirunelveli Ramalingam | Bitonyx Inc | MRI PET, MCI and genetic Alzheimer and Dementia |
Tisha Abraham | GE | Deep Learning |
Tisha Chawla | Vellore Instittute of Technology | Alzheimer's Attack, Genetic Algorithm, CNN |
TJ Olivares | Indiana University School of Medicine | clinical, neuropsychological, cognitive measures |
Toan Nguyen | University Information Technology, Vietnam National University HoChiMinh City | Research Machine Learning Deep learning |
Tobey Betthauser | University of Wisconsin-Madison | PET, neuroimaging, processing |
Tobias Adamsen | Aalborg University | Super resolution, PSNR, SSIM |
Tobias Bachmann | Medical Center at the University of Leipzig | SBM, ADAS11 |
Tobias Blum | University Hospital Essen | Alzheimer's disease, cholinesterase inhibitors, cognitive impairment |
Tobias Guennel | Precision for Medicine | CSF, predictive, machine learning |
Tobias Hepp | University Hospital Tuebingen | Deep Learning, Age Estimation |
Tobias Raffelsberger | Kepler University Hospital, Neuromed Campus | Morphometry, medical image analysis, machine learning |
Todd Hollon | University of Michigan | Pituitary gland, neural networks, pituitary adenomas |
Todd Richards | University of Washington | fMRI, resting state |
Tolga Cukur | Bilkent University | Learning-based registration |
Tom Aldridge | University of Nottingham | alzheimers, lc-ne, white matter |
Tom Dupree | Springboard | Machine learning, data analysis, predictive classification model |
Tom Hu | UC Berkeley | CNN, Tensor, Regression, Deep Learning |
Tom Kelsey | University of St Andrews | Deep forest, CNN, biomarkers, clinical support |
Tom Osika | Kitware, Inc. | Data harmonization, ComBat, Tractography, DTI, Alzheimer's Disease |
Tom Savage | Imperial College London | Kaggle, Missing Data |
Tom Shibu | Vellore Institute Of Technology, Chennai Campus | Multi-Modal, Biomedical Devices, Image Fusion, Deep Learning |
Tom Steven | University of New England | pMCI |
Tomas Iesmantas | Kaunas University of Technology | Deep learning; Alzheimer; longitudinal |
Tomas Premoli | University of Exeter | computer vision, mri, alzheimer's medical imaging, neural network |
Tomás Santis | Universidad de valparaíso | cnn network |
Tomasz Burzykowski | Center for Statistics | biomarker, Alzheimer's disease, biostatistcs |
Tomasz Matys | University of Cambridge | Clinica, PET |
Tomasz Rutkowski | RIKEN | machine learning, AI, biomarkers |
Tomiko Oskotsky | Sirota Lab / UCSF | Alzheimer's Disease, drug repositioning |
Tommy Collins | Emerald Labs | machine learning |
Tommy Wang | Chang Gung University | Deep Learning, Alzheimer's disease |
Tomojit Ghosh | Colorado State University | Feature selection |
Tomoki Kaneko | shinshu university | visual rating system |
Tomoko Takeuchi | University of Tsukuba | Alzheimer's disease, cognitive function, APOE genotype |
tomomi daigo | Nara Institute of Science and Technology | medical image synthesis |
Tomonori Ito | Nagoya university | 3D classification |
Tomsy Paul | Cochin University of Sciene and Technology | Federated Learning, Machine learning, VFL |
Tong CHEN | City University of Hong Kong | classfication, CNN, explainable AI. |
Tong Chen | The University of Sydney | diagnosis of Alzheimer’s disease, Brain network |
Tong Tong | Boston University | metabolites, MT DNA copy number, AD |
Tong Wang | Taiyuan university of technology | assocation between gene and AD |
Tong Wang | Shanxi Medical University | dynamic prediction, Joint modeling,functional data analysis, mediation analysis |
TONG YANG | 西南交通大学 | 编码 |
Tong Zhang | Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine | neuroimaging, gene, classification |
tong zhang | The First Hospital of Hebei Medical University | fmir treatment for Alzheimer's |
Tong Zheng | Nagoya University | Super-resoltion, Algorithm, NO commercial use |
Tong Zhou | University of Chinese Academy of Sciences | anomaly detection |
Tonghui Yu | Hefei University of Technology | survival analysis |
Tongling Jiang | Zhejiang University | brain segmentation |
Tongtong Che | Shandong Normal University | group-wise registration |
Tongtong Li | Michigan State University | ADNI3 |
tongtong li | Northwest Minzu University | Computer Science, Medical image processing |
Tongtong Liu | Qingdao University | classification |
Tongtong Xie | Hunan University | Segmentation,Deeplearing,Brain |
Tongyu Zhang | China Medical University | radiomics,AD,MCI,machine learning |
Tonmoy Hossain | University of Virginia | Segmentation, Registration, Machine Learning |
Tonnar Castellano | Vanderbilt University Medical Center | Harmonize |
Tony Chen | National Taiwan University | Visualizing Convolutional Networks |
Tony Durbin | Washington University | ADOPIC |
Tony Felefly | Saint Joseph University | Radiomics, Machine Learning |
Tony Ha | Indiana University Bloomington | CNN, Deep learning |
Tony Sun | Youreka Edmonton | hippocampus, dementia, depression |
Tony Thayanandan | University of Oxford | depression, dementia, Alzheimer's |
Tony Tu | National Tsing Hua University | Machine learning |
Tonyephony Tonyephony | Sichuan university | AD fmri |
Tooba Pervaiz | University of Engineering and Technology Lahore | machine learning |
Tooba Salahuddin | Qatar university | 3D image processing |
Tora Dunås | University of Gothenburg | Biomarker statistics workshop |
Toro Caleb | University of North Dakota | biomarkers, feature selection methods |
Toru Hironaka | Massachusetts General Hospital | Super Resolution |
Toshihiko Aso | Kyoto University Graduate School of Medicine | BOLD signal, cerebral blood flow, venous drainage |
Toshihiro Hayashi | University of Tokyo | MRI, psychology, biomarker |
Toshikazu Ikuta | University of Mississippi | DTI; tractography; genetics |
Toshiki Osaku | Data Steps inc. | fothifo10 |
Toshiki Sugimziu | Tsukuba University | CycleGAN |
Toshiki Yoshimizu | Japan Tabacco Inc. | Imaging, Bioinformatics, |
Toshiyuki Watanabe | Kyoto Koka Women' University | AD, MRI, cognitive test |
Toufik Hafs | university of Badji Mokhtar Annaba Algeria | deep learning, identification |
Toufique Soomro | QUEST, Larkana Campus | Brain images analysis |
Toygar Tanyel | Yildiz Technical University | MRI, Deep Learning, Computer Vision, Segmentation, Classification |
Tracey Colpitts | Sysmex RDCA Inc. | Sysmex amyloid beta 42/40 plasma assay |
Tracy Abildskov | University Of Utah | Mild TBI |
Tracy Butler | Weill Cornell | ASL |
Tracy Lee | Changchun University of Technology | dataset |
Trang Pham Ngoc Anh | VNU University of Engineering and Technology: | deep learning, computer vision |
Tranush Kondapalli | Texas tech university | MRI, PET, TAU, Amyloid. gender, age |
Travis Liu | JiangNan University | research |
Travis Thompson | Oxford University | degenerative disease, prion disease, biological physics, mathematical modelling |
Travis Urban | Stanford University | tau PET MCI |
Trent Schwartz | Vanderbilt University Medical Center | covid, pet |
Trevor Chandler | Artificially Intelligent | Alzheimer’s, Amyloid, Memory, Brain |
Trevor Lohman | Loma Linda University | Biomarkers, neuropsychological data |
Trevor Steve | University of Alberta | hippocampal subfields, MRI volumetry, biomarker |
Trey McGonigle | UCSF | Application |
Tri Dat Tran | CTU | AD |
Trinh Nguyen | University Of Science (VNUHCM-US) | Unsupervised anomaly detection, Deep generative models, PET, Alzheimer’s disease |
Trinidad Ibar Jalil | Universidad Nacional de San Martin | BOLD time series - Statistical physics - functional conectivity |
Trinidad Perez | Universidad de Oviedo | Teaching |
TRIPTI GOEL | NIT Silchar | Deep leaning, feature ranking |
Tripti GOEL | NIT Silchar | neuroimage |
TRIPTI TRIPATHI | MADAN MOHAN MALAVIYA UNIVERSITY OF TECHNOLOGY | Alzheimer disease, Disease progression detection |
Tripti Tripathi | MMMUT | machine learning, Alzheimer prediction |
Trista Xia | Shanghai University | brain study through muti-mode data |
Troels Nielsen | H. Lundbeck A/S | MRI PET |
Trong Le Phan | Institut Fresnel, Campus Saint Jerome, Aix-Marseille University | Graph, Classification, Alzheimer's, Data analysis to networks,Image segmentation |
Troy Houser | University of Oregon | dementia, classification |
Tru Projects | TRU Projects | Reasearch |
Truc Nguyen | Taipei Medical University | Alzheimer’s disease; cognition; heterogeneity; subtypes; neuropsychology |
Trung Phan | University | study |
Trung Tran | Vietnam National University | Alzheimer disease |
Trương Minh Đạt | Vietnam National University | Deep Learning, Alzheimer disease |
Tsai-Chin Cho | University of Michigan School of Public Health | Bayesian psychometrics workshop |
Tse-An Lu | University of Washionton | Synthetic |
Tsiry MAYET | Le Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes | Domain translation |
Tsubasa Goto | FUJIFILM corporation | brain region, multimodal, predict progression, pTau |
Tsubasa Kunieda | Hokkaido University | Alzheimer's disease, MRI, Attention Mechanism, Vision Transformer |
Tsuneyoshi Momoka | Eisai Co., Ltd. | Ryosuke8395 |
Tsung-Jen Hsieh | I-Shou University | Alzheimer’s disease, trajectory analysis, APOE ɛ4 allele, ABCA7 gene, SORL1 gene |
Tsung-Wei Hu | Weill Cornell Medicine | PET, MRI, AD |
Tsung-Yu Hsieh | The Pennsylvania State University | Causal discovery |
Tsuyoshi Okita | kyushu institute of technology | deep learning |
Tu Feng | ChongQing University | blood biomarker, machine learning |
Tuan Thi | Microsoft | hippocampi segmentation |
Tuan Tran | University of Science | deep learning, diagnosis |
Tuba Sevimoğlu | USKUDAR UNIVERSITY | alzheimers, eeg, resting state, spontaneous |
TUCK YEOW LAI | University Malaysia Perlis | FYP, Alzheimer's Disease, classification, deep learning |
Tuğba Günaydın | Yıldız Technical University | Computer Vision, Machine Learning, Deep Learning |
Tulasi Ravuri | Self | CT |
Tülay Koçak | FACULTY OF EDUCATION | machine learning, deep learning, Alzheimer's disease, AI, detection, classify |
Tun-Wei Hsu | Taipei Veterans General Hospital | deep learning |
Tung Chun-Wei | Taipei Medical University | biomarker research |
Tuo Yin | Tokyo Institute of Technology | PET Image reconstruction |
Tuo Zhang | Northwestern Polytechnical University | cortical folding, brain function |
Turki Alelyani | Najran University | machine learning, Alzheimer, MRI |
Tushar Athawale | University of Utah | ensemble, uncertainty visualization |
Tushar Bhangale | Genentech | GWAS |
Tushar chaudhary | REVA University | GMV, GMD, T1 weighted images |
Tushar Patil | Ramaiah University of Applied Sciences | MRI, Artificial Intelligence, Machine Learning, research, Alzheimer Disease, |
Tushar Sharma | Cal Poly, San Luis Obispo | Alzheimer's detection, EEG |
Tushar Tyagi | Indian Institute of Technology Mandi | Deep Leaning, Classification, ADNI, Novel |
Tuyen Nguyen Linh | Hospital | . |
ty d | Shanghai Maritime University | fMRI |
Tyler Agyekum | Mcgill university | MRI, Microstructure, dMRI, qMRI, |
Tyler Averett | University of Arizona | Maximum-likelihood, estimation, noise cancellation |
Tyler Bradshaw | University of Wisconsin | attenuation correction |
Tyler Diorio | Purdue University | white matter hyperintensity, periventricular, stress |
Tyler O'Neill | University of Texas at Austin | tadpole |
Tyler Toueg | Stanford University | Tau PET, Preclinical AD, Cognitively Unimpaired |
Tyler Wishard | UCLA | Aging, predictors |
Tze-How Lee | Stevens Institute of Technology | Research, Machine Learning, Variable Selection |
U Ranganath | Amrita school of engineering | MRI, CT, Translation |
Uattam Kumar Jangid | Iiit dwd | Data science |
ubaira yousuf | central university | dementia,randomforest,prediction |
Uday Sai Theja Golla | NIT Silchar | MRI, FMRI, SMRI, Alzheimer |
udaya kumar ambati | IIT Hyderabad | Deep Learning, GAN, Transformers |
Udaya Prasanth P | Anna University | RS-fMRI |
Uddeshya Upadhyay | University of Tuebingen | Out of distribution, deep learning, machine learning, medical imaging |
udit wadhera | Rutgers | Database research |
Uğur ejder | Adana Alparslan Science and Technology University | Machine Learning models ,diagnosis with artificial intelligence, |
Uicheul Yoon | Daegu Catholic University | cortical thickness, cortical surface mapping |
Ujas Patel | Sarvajanik College of Engineering & Technology | Alzheimer's Diseases Classification |
Ujjwal Khadka | College of Biomedical Engineering and Applo9 Sciences | Alzheimer's disease, Vision transformer |
Uklid Yeesarapat | Chiang Mai University | fuzzy logic, sensor fusion, computational intelligence, deep learning |
Uksu Choi | Chosun University | Cortical thickness, VBM |
Ulyana Williams | Florida International University | Alzheimer’s Disease (AD), longitudinal data, prognosis, diagnosis |
Ulysses Lam | University of Queensland | deep learning |
uma devi | bharathiyar University | PET image |
UMA MAHESWARI S | KUMARAGURU COLLEGE OF TECHNOLOGY | Medical Healthcare Records (MHRs), bio metric authentication, compression, and c |
Umair Ali | COMSATS University Islamabad | Alzheimer's disease Deep learning |
Umair Mohammad | Florida International University | Machine Learning, Deep Learning, fMRI, AD |
Umair Mohammad | Florida International University | Deep Leanring, Machine Learning, fMRI Analysis, automatic classification, AD |
Umamaheswararao Mamillapalli | Gudlavalleru Engineering College | ADNI, Project, Research |
Umang Pandey | Symbiosis International University | GAN, Deep Learning, DWI |
Umar Mubeen | Comsats universirty Islamabad | brain tumor segmentation |
Umayah Tahsin | University of Leeds | Machine learning, project |
Umesh Gangadharaiah | JSS SCIENCE AND TECHNOLOGY UNIVERSITY | Alexnet,CNN |
UMESH KUMAR MUDAVATH | IITG | deep learning, image processing |
umit akkaya | gebze technical university | vision transformer |
Umit Atila | Karabuk University | deep learning, classification, automatic disease diagnosis |
Umit Kilic | Adana Alparslan Turkes Science and Technology University | image processing, AD diagnosis |
Umme Aysha | University of Regina | Research |
Umme Habiba Bushra | IIUC | Alzheimer disease, early detection, machine learning algorithms |
Umut Kucukaslan | Technische Universitat Muenchen | longitudinal medical image data |
Unai Aguilera | Mondragon University | PET, MRI, HSV |
Ung Hwang | Hanyang University | predict dementia |
unjoo lee | Hallym | medical image segmentation |
Unmesh Shukla | University of Delhi South Campus | MRI, brain health, Deep Learning, Biomarkers, Alzheimer's Disease |
Unnati Patel | CMPICA | Alzheimer prediction |
Unyakorn Fangyong | Chulalongkorn University | stat |
Upamanyu Ghose | University of Oxford | AI, machine learning |
Upendra aswal | Graphic Era University | CNN,AD,Nc |
Ural Verimli | Marmara University School of Medicine | Alzheimer's, Deep Learning, Machine Learning, Voxel Based Morphometry |
Urban Simončič | University of Ljubljana | SSM/PCA, SPM |
Urvi Desai | Analysis Group | MCI or Mild AD, disease progression, cognition, function, behavior |
Urvi Desai | Dr. Vishwanath Karad MIT World Peace University | Alzheimer's, early prediction, multimodal, classification |
USAMA AHMED | Riphah International University | Machine Learning |
Usama Pervaiz | 3 Billion Pairs Genetic | machine learning; multi-model data; classification |
usha gautam | BMSCE | AD, normal, EMCI,LMCI,rs-FMRI |
Usha KC | BMSCE | Medical image analysis |
USHA PATEL | l.d college of engineering | EEG DATASET FOR ALZHEIMER DISORDER |
USHIZE RUTIKANGA Justin | IMSP/Benin | Kernel estimator; Functional data; Censored data; Conditional extreme value inde |
Usman Asim | UNOMIC | lzheimer's Disease Detection Classification |
Usman Bashir | St Barts Hosptal | CNN |
uten yarach | Chiang Mai University | mri distortion |
Utkarsh Chhapekar | Manipal Institute Of Technology | Prediction, Alzheimers, Deep Learning |
Utkarsh Lal | Manipal Institute of Technology | Fractal Dimension, Singular Value Decomposition, Hjorth Parameter, Alzheimer's |
utkarsh pancholi | L D College of ENgineering | MRI |
Utku Ozbulak | Ghent University | Self-supervised learning |
Utpala Nanda Chowdhury | The University of Queensland | Deep learning, polygenic risk analysis, Alzheimer's disease |
Uttam Bhetuwal | Brown University | Deep learning,brain imaging |
uttam khatri | Chousun University | researcher |
UTTARA TIPNIS | Lawrence Livermore National Laboratory | SNP-SNP interactions, image based representation |
v pz | Shenzhen University | fmri |
V R | N/A | "artificial intelligence program", "risk assessment", "mathematical regression" |
V Varun Pingale | Reva University | 1212 |
V Varun Pingale | Reva University | 1212 |
Vadim Ushakov | MSU | MCI |
Vadym Gryshchuk | DZNE | CNNs, XAI, Deep Learning |
Vahan Aslanyan | USC | ADNI |
Vahe Khachadourian | Takeda Pharmaceutical | Disease progression |
vahid abootalebi | Yazd University | biological signal processing, Graph signal processing |
Vahid Andalib | University of Maryland, Baltimore County | Classification; High Dimension; dimension reduction |
vahid Ashkani Chenarlogh | Islamic Azad University Science and Research Branch | Super Resolution, Neural Networks, deep learning, image processing |
Vahid Balazadeh Meresht | University of Toronto | Privileged Information, Causal Graphs, Time-series, VC-dimension |
Vahid Golderzahi | Institute of Statistical Science, Academia Sinica | multimodal deep learning |
VAIBHAV GUPTA | AKGEC GHAZIABAD | ALZHEIMER'S DISEASE |
Vaibhav Janve | Vanderbilt University Medical center (VUMC) | florbetapir, PiB, resilience, Alzheimer's disease |
Vaibhav Mishra | Stony Brook University | Alzheimer's Disease, AI, Machine Learning, Brain Heat Maps, MRI |
Vaibhav Rajan | National University of Singapore | multimodal learning, data fusion, deep learning, medical imaging, genetics |
Vaibhav S.V.N.S | SRM Institute of Science and technology | Alzheimer's MRI scan |
Vaibhav Tiwari | Georgia Institute of Technology | Project, Neural Network, AD |
Vaibhav Tripathi | Boston University | Predictive modelling, rsFC, pet, amyloid |
Vaishali S | National Institute of Technology Karnataka, Surathkal | Learning Experience, Research, Image Processing, Medical Industry |
Vaishnav Srinidhi | Vellore Institute of Technology, Vellore | Computer Aided Diagnosis, Computer Vision, Transfer Learning, Federated Learning |
Vaishnavi Dontha | MVSR Engineering College | AD, MCI, CNN |
Vaishnavi Dookheet | University of Mauritius | AD |
Vaishnavi Gupta | AISSMS collegege of engineering | convolution neural network , transfer learning, MRI , PET , Alzhiemer |
Vaishnavi Shukla | Vellore Institute of Technology | deep learning, computer vision |
Vaishnavi Subramanian | University of Illinois at Urbana-Champaign | imaging, genomics, radiogenomics, multimodaliy, fusion, longitudinal |
Vaithilingam Jeyakumar | UNSW Sydney | optimization, classification methods |
Valdas Vabolis | Vilnius University | MRI, alzheimer, machine learning |
Valentin Buehler | University of Zurich | Interpretable AI |
Valentin Iaquinta | University of Wisconsin Madison | Smoking, Alzheimer's disease, Beta-amyloid, P-Tau |
Valentin Juenger | Charite Universitaetsmedizin Berlin | NAWM, microstructural changes |
Valentin Koch | TU Munich/Helmhotz Centerq | domain adaptation, computer vision, deep learning |
Valentin Schoop | neuefische GmbH | data science, image modelling |
Valentina Bordin | Politecnico di Milano | White matter hyperintensities, Harmonisation, Automatic Segmentation, BIANCA |
Valentina Brancato | IRCCS SDN | DICOM |
Valentina Escott-Price | Cardiff University | machine learning, prediction, cognitive decline |
Valentina Garibotto | Geneva University Hospitals | FDG PET, tau, Ab42, CSF |
Valentina Giunchiglia | Imperial College London | Alzheimer, Artificial Intelligence |
Valentina Stoma | Northeastern University | Machine learning, alzheimer's |
Valentina Stoma | Northeastern University | Causal, Bayesian, tau protein, diagnosis |
Valentine Wargnier-Dauchelle | CREATIS | Classification, deep learning, interpretability |
Valeria Yachnaya | Pavlov Institute of Physiology, Russian Academy of Sciences | neural network, attention mechanism, AD detection, MRI segmentation |
Valerie Brouwers | Erasmus University Rotterdam | Predictability MMSE scores joint lasso method |
Valerie Cardenas Nicolson | Palo Alto VA | fMRI, DTI, T1, rTMS |
Valerie Carr | San Jose State University | teaching |
Valerie Dorsant Ardon | Indiana University Purdue University Indianapolis IUPUI | Alzheimer´s disease, ancestry analysis, admixture, epigenetics |
Valerie Obenchain | Genentech | data ingest bioinformatics |
Valerie Treyer | University of Zurich | Longitudinal Amyloid Accumulation |
Valerie Treyer | University of Zurich | Network Analysis MCI Subclassification |
Valeriy Titarenko | University of Manchester | data mining |
Valery Fuh Ngwa | University of Tasmania | Machine Learning, Polygenic Risk Scores; Feature Encoding; Onset; progression |
VAMSHI KRISHNA Edamadaka | University of North Carolina Greensboro | ADNI GO, Alzheimer's Disease, mild cognitive impairment |
Vamshi Krishna Reddy | St. Martins Engineering College | Machine Learning, Data Science, Major Project |
Vamsi Yerramsetti | Radboud University | Data Analysis, Neural Networks, Alzheimer's, MOCIA |
Van Charon | Tsinghua University | Alzheimer |
VAN GAO | Harbin Engineering University | image registration |
Van Nhat Huy Nguyen | The University of Queesland | Classify Alzheimer’s disease |
Vanda Inacio de Carvalho | University of Edinburgh | Accuracy, ROC surface, Statistics, Regression, Alzheimer disease |
vandan gorade | University of Pune | deep learning |
vandan gorade | University of Pune | Deep learning |
Vandana Rajan | Queen Mary University of London | Multi-modal learning |
Vanessa Gomez-Verdejo | Universidad Carlos III de Madrid | machine learning, mri |
Vanessa Kinda Zayed | Université de Montréal | alzheimers, word-recall, memory |
Vanessa Kitchin | University of British Columbia | data organization, health sciences |
Vanessa Ramos | FEUP - Faculdade de Engenharia da Universidade do Porto | Alzheimer's Disease, Deep Learning, MRI |
Vanessa Tschichold | NTNU | machine learning |
Vanessa Wei | Georgia Institute of Technology | Alzheimer's Disease, MR images, deep learning, convolutional neural network |
Vânia Guimarães | Faculty of Engineering of the University of Porto | Classification, Alzheimer's Disease |
vania todorova | UMKC | research |
Vanja Vlasov | University of Luxembourg | deep brain structures, MRI, machine learning, Deep Brain Stimulation |
Vanshika Baheti | Manipal University Jaipur | Minor Research Project |
Vareesha Nadeem | University of Westminster | Machine Learning, Alzheimers Disease, Data Science. |
Varshitha Talakanti | Georgia State University | Alzeheimer,Brain images |
Varun Agarwal | N/A | The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge |
Varun Kelkar | University of Illinois Urbana Champaign | superresolution, MRI, task-based evaluation |
VARUN KUKRETI | IIT Hyderabad | Machine Learning, Domain Adaptation, Transfer Learning |
VARUN KUMAR TIRUPATHI | St. Francis Xavier University | Research, Deep Learning, MRI, Alzhemier's |
Varun Sarathchandran | BMS Institute of Technology and Management | Deep CNN, 3D CNN, Transfer Learning |
varun taliparambe vitel | Manipal institute of technology | Deep learning , CNN, multimodal |
Varun Ullanat | RV College of Engineering | R |
Vasantharani R | Sethu Institute of Technology | EEG signals, Alzheimer Disease, Machine Learning Techniques |
Vasco Candeias | INESC-ID | dynamic bayesian network, cloud computing, web, internet |
Vasco Diogo | Faculty of Science of University of Lisbon | machine learning, classifier |
Vasil Popov | Technical University Sofia - branch Plovdiv | UNet, convolution |
Vasileios Konstantakos | - | missing data, imputation, clinical datasets, Genentech |
Vasileios Kreouzis | University College London | machine learning |
Vasileios Lemonidis | KU Leuven | Deep learning, Brain Analytics, Genomic Mapping |
Vasiliki Lagou | University of Surrey | biological subtypes, neurodegenerative disease, multi-omics, machine learning |
Vasily Akimov | HSE | Alzheimer, Neurovisualization |
Vasily and Anastasia Tolstikov and Brovkina | UC Davis and University Medical Center Hamburg-Eppendorf | Alzheimer's Neural Network fMRI |
Vassilis Pelekanos | University of Nottingham | fornix, animal model, non-human primate, grey and white matter degeneration |
Vatsal Maheshwari | Manipal Institute of Techonology | GANs, Skull stripping, |
Vatsal Nagelia | Bits Pilani | Diagnosis, Prevention and learning |
ved patel | NITC | medical Synthesis |
Vedanshi Bhargava | Banner | PiB, AV45 |
Vedika Pachisia | SRM Institute of Science and Technology | Alzheimer's Disease, CapsNet, Machine Learning |
Veeky Baths | Birla Institute of Technology & Sciences, K. K. Birla Goa Campus | Cognitive diseases, Computational Neurosciences |
VEENA NAIR | UNIVERSITY OF WISCONSIN MADISON | ALZHEIMER'S , MCI, VASCULAR, BRAIN IMAGING, CONNECTIVITY |
Veena Nair | Vellore Institute od Technology | Alzheimers, Machine Leaning, Neuro-Imaging |
Veenit Ankam | Cognizant | Image classification, Analysis, disease prediction |
Veer Gupta | Morris Hills | statistics machine_learning |
VEERALAGAN J | karpagam academy of higher education | BRAIN MRI IMAGE |
Veeraphat Reanprasert | KMITL | 63605109 |
Veeraphat Reanprasert | KMITL | Deep Learning, Alzheimer Disease |
Velandai Srikanth | Monash Medical Centre, Monash University | Diabetes Mellitus, dementia, brain imaging |
velumani ramesh | Nil | PET MRI |
Venesia Venesia | National Tsing Hua University | Image analysis |
Venkata Durga Kiran V | Sagi Ramakrishnam Raju Engineering college | Alzheimers ,Alzheimers Disease , AD , ADNI , Deep Learning , Machine Learning |
Venkata Sri Ram Srujan Nidadavolu | Rutgers, The State University of New Jersey | CS527 |
Venkata sumanth madamala | iiit bbsr | t644 |
venkata surya yashwanth varma vadlamudi | Manipal university jaipur | Deep Learning, Machine Learning |
Venkata Vineel Prasad Inukonda | Amrita Vishwa Vidyapeetam | CNN |
VenkataSaiKrishnaPrasad Menta | Zero2AI | 3D Synthetic Neuro Images Sickle Cell Disease |
Venkatesh B | JSS | CNN |
Venkateswarlu Gonuguntla | Samsung Medical Science Research Institute | graph convolution, fMRI |
Venkateswarlu Kondragunta | Alector | Proteomics/genomics |
Vera Afreixo | University of Aveiro | Data Analysis; statistics |
vera barstad | University of Agder | Deep Learning, 3DCNN,pointcloud |
Vernon Allen | Wayne County Community College | Cortical atrophy, Alzheimer's disease |
Vernon Chinchilli | Penn State College of Medicine | GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS, |
Verónica Henao Isaza | Universidad de Antioquia | EEG, Alzheimer, harmonization |
VERONICA POZDAL | UNIVERSIITY OF MISSOURI -COLUMBIA | subjective cognitive decline, preclinical, Alzheimers, ECog |
Veronika Stuchlikova | Charles University | sociodemographic determinants, risks of Alzheimer disease |
Vesna Vuksanovic | The University of Aberdeen | network science, cognitive flexibility, connectome |
Vibha Balaji | IISc | Computational analysis |
Vibhuti Verma | BHARATI VIDYAPEETH COLLEGE OF ENGINEERING | AD Alzheimer’s disease MRI Magnetic Resonance Imaging MCI Mild cognitive impairm |
vicente de jesus rodriguez cuellar | tecmilenio university | Neuronal network, educational |
Vicente Sancenon | IHIS | Deep learning, computer vision, cognitive impairment, Alzheimer disease |
Vick Lau | The University of Hong Kong | MR Image reconstruction, deep learning |
Vicki Huang | Georgia Institute of Technology | classification, progression, prediction, deep-learning, Alzheimer's Disease |
vicky lam | The Chinese University of Hong Kong | T1 |
Vicky Paveli | University of Derby | Regression,Neural Networks |
Vicky Shakya | International Institute of Information Technology, Bhubaneshwar | Alzheimer's Disease, Deep Learning, CNN, MRI |
Victor Adankai | Florida A&M University | Dataset |
Victor Adankai | Florida A&M University | Machine, Deep , Learning, Image, Analysis |
Victor Arnt | UFRGS | early stage, mri, pet, Biological Markers |
Victor Costumero | Universitat de València | mild cognitive impairment; fractal dimension; gyrification index |
Victor Ernesto Issa Garcia | Tecnologico de Monterrey | Freesurfer, volumetry, neurodegeneration, sMRI |
Victor Li | The University of Hong Kong | air pollution, early biomarkers, mutations |
Victor Liu | Tsinghua University | Resarch |
Victor Montal | HSP | AD; preclinical; FBP; AB; DWI; Freesurfer |
Victor Neduva | MSD | mechanisms, pathways, biomarkers for AD |
Victor Oliveira | Universidade Federal de Santa Catarina | AI for Medicine, Deep Learning, Medical Images |
Victor Pellegrain | CentraleSupelec | deep learning, multimodal learning, diagnosis, health monitoring, |
Victor Soh | Nanyang Technological University | fmri, predictive, adni |
Victor Vidal | Universidad de Chile | MRI, WMH |
Victoria Belancio | Tulane University | genetic variation |
Victoria Larsson | Lund university | strem2, alzheimer, dementia |
Victoria Tennant | University of Southern California | locus coeruleus, biomarkers, PET, tau-PET |
Victoria Williams | MassGeneral Hospital | VEGF, ASL, WMSA |
Victoria Wing | Newcastle University | apathy, amyloid, Lewy Body Dementia |
Vida Faghani | Kharazmi University | sleep, memory |
Vida Pahlevani | Tarbiat Modares University | Survival analysis; Machine learning; Alzheimer's disease |
vida shafiee | students scientific research center (ssrc) | Apo E4 / ESR |
vidhya elango | periyar university | cryptography |
Vidisha Goyal | Georgia Institute of Technology | Medical Image Processing |
Vidushi Tickoo | JC BOSE UNIVERSITY OF SCIENCE AND TECHNOLOGY | convolution neural network , artificial intelligence, computer vision |
Vidya Khose | Amrutvahini college of engineering | Project |
Vien Dang | University of Barcelona | bias, fairness |
Viet Huynh | Faculty of Information Technology, Monash University | Causal Discovery |
Viet Man | University of Pittsburgh | amyloid |
Vignesh Baalaji Shankar | Vellore Institute of Technology, Chennai. | Deep Learning, Alzheimer's disease, Detection |
Vignesh Narayanaswamy | University of Illinois at Chicago | Deep Learning |
Vihari Piratla | Cambridge University | Dementia, Alzeimers, Machine Learning |
Vijay GR | SJCIT | alzheimer's disease, MRI, CNN, image processing |
VIJAY KUMAR PETTA | V R Siddhartha Engineering College | Alzheimer's, MRI |
Vijay Mali | Dr Babasaheb Ambedkar Technological University Lonere | Transfer learning, Image preprocessing |
Vijay Ramanan | Mayo Clinic (Rochester, MN) | Imaging genetics; personalized medicine for dementia |
Vijay Subedi | Tribhuvan University | CNN, GCN, Alzheimer's Classification |
Vijay Varma | National Institute of Health | peripheral biomarkers, conversion, prediction |
Vijaya Kolachalama | Boston University School of Medicine | AD, MRI |
Vijaya Kotari | VITAP | MRI,Alzheimer,DeepLearning |
Vijayalakshmi B | Mepco Schlenk Engineering College | MR Brain Image, Segmentation, Deep Learning |
vijayalakshmi Kakulapati | Sreenidhi Institute of Science and Technology | alzheimer, ann , optimiztion |
VIJAYANAND D | NANYANG TECHNOLOGICAL UNIVERSITY | TDA |
Vijina P | GOVT.ENGINEERING COLLEGE,THRISSUR | AD,MRI,sMRI,gene |
Vikas Hallikeri | JSS science and Technological University | Early detection of Alzheimer's disease |
Vikas Honmane | WCE, Sangli | Dimentia |
Vikas Khullar | CT Institute of Engineering, Management and Technology | Behaviour, Expressions |
Vikas Kumar | HBNI | CT, MR, PET, Reconstruction, Segmentation |
Vikas Pareek | Indian Institute of Technology Gandhinagar | diffusion MRI, Biomarker finding, Basal Ganglion, Pineal Gland |
Vikas Sharma | Maxbrain Technologies, India | Modifed CNN, k-Sparse Autoencoder Method, Python |
Vikas Ummadisetty | University of California, Berkeley | multi-modal model, deep learning, biomarker prediction, progression forecasting |
Vikram Venkatraghavan | Erasmus Medical Center | Event Based Model |
Viktor Laskov | Third Faculty of Medicine | morphometry |
Viktoria Markova | Technical University of Munich | fMRI, Graph neural network, age prediction, gender prediction, disease |
Viktorija Pratuseviciute | Stanford University | language, semantics, tau, PET, word retrieval, fluency |
Vilas Menon | Columbia University Irving Medical Center | APOE, lipidomics, metabolomics |
Vimala Nunavath | USN | Image analysis, classification and segmentation |
Vinay Dodla | Sree Vidyanikethan Engineering college | Alzheimer disease detection |
Vinay Gahlot | Ikigai | Genentech's 404 Challenge |
vinay lal | great learning | Alzheimers, Dementia |
Vinay Saji Mathew | The Pennsylvania State University | Causality, Causal Inference from Observational Data |
Vinay Ummadi | Indian Institue of Technology Kharagpur | HarP, Hippocampus |
Vincent Appiah | University of Ghana | Neuroimaging,Machine Learning,Alzheimer |
Vincent Beliveau | Medical University of Innsbrucl | n/a |
Vincent Chouraki | Institut Pasteur de Lille | GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker |
vincent Dore | CSIRO | Tau, quantification, CenTauR |
Vincent Frouin | CEA | imaging-gentics; vcf genetics |
Vincent Gaudet | University of Waterloo | iterative algorithms, belief propagation, stochastic computing |
Vincent Koppelmans | University of Utah | Bayes Surface Resting State fMRI |
Vincent Krause | BTU Cottbus-Senftenberg | Dementia, machine learning, PET |
Vincent Lefeuve | University College London | MCI, Alzheimer's, Comparison, Harmonisation, progressive, MRI |
Vincent Liu | UCLA | longitudinal, lecithin, exact date |
Vincent Noblet | ICube | manifold learning, covariate disentanglement |
Vincent Roca | Unversity of Lille | Harmonizartion Deep-Learning GAN multicenter |
Vincent Zossou | Institut gustave roussy | liver, cancer, nifti |
Vincenzo Anania | University of Antwerp | Diffusion MRI - artefact correction - parameter estimation |
Vincenzo Claudio Pierro | Università degli Studi di Salerno | Neuroimaging, structural MRI, student |
Vincenzo Dentamaro | Università degli studi di Bari Aldo Moro | deep learning, artificial intelligence, multimodal |
vineet kumar | Lovely Professional University | MRI |
VINEETH K C | BMS College of Engineering | Classifier model, disease, integrtaing brain images |
Vineetha Yadlapalli | Brown University | Alzheimer's disease; neurofilament light polypeptide; NfL; biomarker |
Vinicius Menezes | USP | Alzheimer; Data Science |
Vinicius Silva | FEI | GAN, neural network |
Vinit Nalawade | Duke University | AD prevention |
vinod kumar | max planck institute for biological cybernetics | Machine learning, Disesase diagnosis |
Vinod Thorat | Algoanalytics | Research |
Vipul Gharde | Rutgers University | ADNI Merge Project Database Data Science |
Viraj Desai | MIT MANIPAL | Neural Networks, Classification |
Viren Narvekar | Symbiosis Institute of Technology | AI,ML,KNN,RF,SVM |
Virender Kadyan | University of Petroleum and Energy Studies | Alzheimer Disease, Segmentation, Transfer Learning |
Virendra Mishra | Cleveland Clinic Lou Ruvo Center for Brain Health | imaging biomarkers, neural correlates |
Virendra Mishra | University of Alabama | Sex differences, multimodality |
Virendra Vishwakarma | iNeuron | AD |
Virgile Albertini | Université de Lorraine | Brain connectivity; Sparse inverse covariance; Alzheimer's; PET; Biomarker |
Virginia Buckles | Washington University in St. Louis | DIAN ADNI |
Virgínia Nunes | IFCE | Segmentation, Level Set |
Virginie Buggia-Prevot | Valo Health | Neurodegeneration, drug discovery, machine learning |
Visar Berisha | Arizona State University | Machine learning models, repeatable composites |
Vishal Nagarajan | SSN College of Engineering | machine learning, deep learning, Alzheimer's |
Vishal Narayan Deka | National Institute of Technology, Silchar | Deep Learning, Medical Imaging, Early Detection of AD |
vishal papineni | ST. FRANCIS XAVIER UNIVERSITY | ADNI, IMAGE CLASSIFICATION |
vishal papineni | ST. FRANCIS XAVIER UNIVERSITY | ADNI, IMAGE CLASSIFICATION |
Vishal Patel | UCLA | machine learning, deep learning, diffusion-weighted MRI |
Vishal raj | IIT Madras | MRI data related to Alzheimer's patient |
Vishal Raj | IIT Madras | MRI of Alzheimer's disease |
Vishal Sarsani | Harvard T.H. Chan School of Public Health | Alzheimer’s disease (AD), Type 2 diabetes mellitus (T2D), Multi-omics |
Vishal Saxena | University of Delaware | Deep learning, spiking neural networks, dementia assessment |
Vishant Bata | Indian Institute of Technology,(BHU), Varanasi-India | PET Scans, Early Detection, Machine Learning |
Vishnu Sai Kandala | Saint Louis University | To detect Alzheimer at early stage |
VISHNU SAI RAO SURESH LOKHANDE | University of Wisconsin Madison | deep neural networks, AD/HTH prediction, supervised learning |
Vishnu Sampathkumar | Centre for Fundamental Research and Creative Education (CFRCE) | GNN, APOE, Cortical Thickness, Network Graphs, Amyloid Beta, Tau Protein |
Vishu Gupta | Malviya National Institute of Technology | dementia, Alzhemer's |
Vishwa Singh | Dr Vishwanath Karad MIT World Peace University | Deep Learning, Computer Vision, Image segmentation |
VISHWAS H N | Jss science and technology university mysore | ALZHEIMERS'S DISEASE, ML |
Vision Zhang | tongji University | Alzheimer's prediction |
Vismay Agrawal | Indian Institute of Technology Madras | Medical Image Analysis |
visvanathan P | GTEC | Machine Learning |
Viswanath Pamulakanty Sudarshan | Monash University | pet mri alzheimers machine learning |
Visweswar Sirish Parupudi | BITS Pilani | CNN,Transfer Learning, AD detection |
Vitaly Dobromyslin | University of Massachussetts, Lowell | gene expression, neuroimaging |
Vítor Carvalho | IF SUDESTE MG | MRI Image, Machine-learning, Alzheimer's Disease |
Vitor Gelonezi | Hospital de Base | PE T Alzheimer's Disease |
Vivek Devadas | Banner Alzheimer's Institute | Kewei Chen |
Vivek Gupta | Softsensor.AI | AI, Alzheimer, segmentation, disease progression |
Vivek Sharma | Instituto de Bioenginyeria de Cataluña (IBEC) | lesion, resting-state, bold, fmri |
VIVEK TIWARI | INDIAN INSTITUTE OF SCIENCE | T1, T2, white matter hyperintensity, segmentation, vascular analysis, metabolome |
Vivek Tiwari | Indian Institute of Science Education and Research-Berahampur | Brain Segmentation, T1w, T2w MRI, rs-functional connectivity, Blood Flow |
VIVI KUZO | SHANGAI UNIVERSITY FOR SCIENCE &TECHNOLOGY | AD ; MRI, prediction |
Vivian Chu | Queens College, CUNY | Serial Position Effect, cognitive marker, tau, biomarker, conversion |
Vivianna Van Deerlin | University of Pennsylvania | FTD, Mutations, Sequencing |
vivien chew | NTU | pre-processing |
Vivien Richter | University Hospital Tuebingen | Volumetry, healthy ageing, neurodegeneration, benchmark |
Vlada Efremenko | Peter the Great St. Petersburg Polytechnic University | vesna |
Vlada Shevelkova | University College London | Event-based model, disease progression, prediction |
Vladimir Babushkin | UAEU | epilepsy,seizures |
Vladimir Balutin | Petro Mohyla Black Sea National | CDR |
Vladimir Fonov | McGill University | de-identification |
Vladimir Kiselev | N. P. Bechtereva Institute of the Human Brain of the Russian Academy of Sciences | VBM-analyzing |
Vladimir Smrkolj | University of Ljubljana Faculty of Medicine | Alzheimers disease, CNN, RNN, region of interest |
Vladislav Kalashnikov | University of Malta | Deep Learning, Alzheimer Classification, Machine Learning, Thesis |
Vorapun Senanarong | Faculty of Medicine Siriraj Hospital | Dementia, Mild Cognitive Impairment |
Vrinda Kohli | Manipal University Jaipur | AD detection; Vision Transformer |
Vrinda Pareek | Manipal university Jaipur | URGENT |
Vrinda Pareek | Manipal university Jaipur | URGENT |
Vrishali Salian | University of Minnesota, Twin cities | Cerebrovascular inflammation, VCAM-1, amyloid beta, BBB |
VRS Mani | National Engg. College | CNN , multi modal fusion, Alzheimer |
Vu Minh Hieu Phan | University of Adelaide | computer vision, medical image synthesis |
VV xu | Fudan Unversity | AD biomarker |
vyac vyac | skoltech | hellomri |
Vyka Rahma | Brawijaya University | X Ray |
vyshnavi ramineni | CHOSUN UNIVERSITY | AD |
w efs | adfec | asefc |
w kj | University of Electronic Science and Technology of China | brain |
w w | Hubei University of Technology | learning |
w xc | XD University | 123wangxicong |
w xc | XiDian University | AD DL |
w xc | XD University | AD DL |
W. M. Lin | Fuzhou University | Alzheimer's disease, Deep learning, Machine learning |
W. Taylor Kimberly | Massachusetts General Hospital | metabolomics, white matter hyperintensities |
W.T. Xin | Xidian University | xwt12345 |
Wade Davis | FAU | MTL, EMCI |
Wafa Boukellouz | university of ferhat abbas setif | MRI, CTm prediction |
wafa BOURAS | mohammed boudiaf university | ptsd iomt |
Wafa Habib | University of Malaya | Alzheimer disease, MRI, Structural MRI, Classification |
Wai Ho CHENG | The Hong Kong Polytechnic University | AD and mild cognitive impairment |
Wajiha Bibi | Aston University | biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement |
walaa elashmawi | Misr International University | deep leaning model, Alzheimer’s disease |
Walaa Gouda | JOUF University | alzheimer, CAD |
Walaa Ismail | Al-yamamah university | Al zhemier disease |
Waleed Bin Tahir | NUST | Alzheimer's disease, CNN, MRI, classification |
walid abbassi | esprim | 4MG69 |
Wallaci Valentino | Federal University of Pará | Dementia, CDR |
Walrick Villalba Marengo | Universidad Nacional de Colombia | Alzheimer, Colombia, neural networks, artificial intelligence |
Walter Adame Gonzalez | McGill University | Machine Learning, Dementia, TBI, MRI |
Walter Hugo Lopez Pinaya | Universidade Federal do ABC | Machine Learning |
Walter Izquierdo | Florida International University | BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA |
Walter Kukull | University of Washington | ADOPIC |
Walter Riviera | University of Verona | Federated Learning, Alzheimer detection, PhD |
wamg congcong | anhuidaxue | Visual medicine |
wan guoxin | Northeastern University at Qinhuangdao | u-net |
Wan Li | Beijing Technology and Business University | brain network, AD patients, multimodalities |
wan liu | Nanjing Brain Hospital | MCI, executive function, fMRI |
Wan Mahani Hafizah Wan Mahmud | Universiti Tun Hussein Onn Malaysia | feature extraction, progression detection |
Wan Mengyao | Peking Union Medical College | PTPRT, dementia, hippocampal volume, rs6030076 |
Wan Wang | The University of Hong Kong | MRI,Deep Learning,brain age |
Wan-Ping Lee | University of Pennsylvania | WGS, CNV, SV, Association |
Wancheng Cai | UC Davis | Image regression |
Wang Alan | WTU | deep learn |
Wang Anlan | WUhan Textile University | deep learning, Alzheimer's |
wang bin | Changchun University of Science and Technology | niyaowoa87326910 |
Wang Chai | University of Chinese Academy of Sciences | right-censored covariate |
Wang Chai | University of Chinese Academy of Sciences | Partial functional linear model; Model check; Real data analysis |
wang changcheng | Dalian Minzu University | 特征提取 |
wang chao | North University of China | Wl940414.+0 |
wang chao | fujianyikedaxue | study; Alzheimer's disease;clinical manifestations |
wang chao | Fujian Medical University | brain regions; Alzheimer's disease |
wang chen | Xinxiang Medical University | fmri;Age predicts |
Wang ChenFei | ShanDong University | brain network, regional brain fusion-graph convolutional network |
wang chenyu | zjut | research |
Wang Chu | Nanjing University of Science & Technology | imaging data |
wang dayu | henan university | greduate student reaserch |
wang dong | Shandong Normal University | radiomics |
wang guangming | yunnandaxue | medical research |
wang H W | 常州大学 | fMRI eeg |
Wang Han | Nanjing center for applied mathematics | Alzheimer's,geometry,hippocampus |
WANG HANYU | Shenzhen University | genetic data,phenotypic markers,linear regression |
WANG HENG | Henan University of Technology | diagnosis of Alzheimer's disease |
Wang Hongni | Shandong University of Finance and Economics | Semi-Supervised Statistical Inference ,High-Dimensional data,Regression analysis |
wang Hsi-Chun | National Taiwan University of Science and Technology | deep learning, hippocampus, brain segmentation |
Wang Jia | NanTong University | nhce1111 |
Wang Jia jia | Qilu Hospital , Cheeloo College of Medicine, Shandong University | MCI ;brain volume |
Wang Jiaxing | Northeastern University of China | Alzheimer, deep learning, convolutional neural network |
wang jie | Zhengzhou university | ML |
WANG JINGRU | The first affiliated hospital of wenzhou medical university | Alzheimer's Disease,Small Vessel Disease |
Wang Jun | LAN ZHOU UNIVERSITY | w23161925 |
wang junxiang | BJUT | www123321 |
wang junxiang | BJUT | www123321 |
Wang Kehan | Zhengzhou University | medical statistics |
Wang Likai | changan university | graph convolutional networks |
Wang Long | DUT | MR |
wang longjian | Jiangsu University Of Science And Technology | image registration |
Wang Minghua | school | VCI |
Wang Peng | Fudan University | prediction |
wang py | Chongqing University of Posts and Telecommunications | research |
wang qi | 山东第一医科大学 | AD |
wang qian | Guizhou University | 顶层规划 |
wang qian | Guizhou University | 顶层规划 |
wang qing | liaoning normal university | fMRI |
Wang Rui | University of Science and Technology of China | Alzheimer;diagnosis;G-CNN |
wang ruiyu | Tianjin University of Technology | wry15931075635 |
Wang Runhan | Fudan University | GAN, super-resolution, MRI |
wang shuangxing | GuiZhou University | Non commercial, DMRI,academic research |
Wang Siqi | Tian Jin Medical University | CpG methylation |
Wang Song | South University of science and technology | super-resolution |
Wang Tangsheng | Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences | 3D-ResNet,CNN,Alzheimer's disease,MRI |
Wang Tao | Chinese Academy Of Sciences | AD, MCI, machine learning |
Wang Tianxiang | NUAA | 3D ConvLSTM |
wang ting | Guilin University of Electronic Technology | academic research |
wang vira | northwest university | experiment |
Wang wanqiu | Jilin University of Architecture and Technology | deep learning ,big data |
Wang Wei | Northwestern Polytechnical University | deep learning, image classfication, integrating image and protein expression |
Wang wenting | 西北大学 | Alzheimer’s disease Image classification Early diagnosis |
Wang wlt | northwest university | learning |
WANG Xiansheng | China Academy of Chinese Medical Sciences | General information, scales, Alzheimer |
Wang Xiaoliang | Qingdao Municipal Hospital | chronic pain,Alzheimer’s disease,amyloid,tau |
Wang Xiaoliang | Qingdao Municipal Hospital | Alzheimer’s disease,amyloid,tau |
Wang Xiaonan | Beijing Hospital,National Center of Gerontology;Institution of Geriatric Medicin | 123258 |
Wang Xin | neu | brain network analysis |
Wang Xing | XiaMen University | 15117011170 |
Wang Xingze | ShanDong University | deep learning,medical image,genome |
Wang Xuanyan | Changzhou Institute of Technology | Alzheimer's disease research using MultiGraphGAN |
wang ya chu | national chiao tung university | deep learning / interpretable machine learning |
wang yan | SCUEC | dementia; biomarkers; Alzheimer’s disease; structural MRI; neurodegeneration |
wang yan | AnHui University | deep learning |
Wang Yanchen | the Capital University of Economic and Business | Alzheimer's disease, GBDT+LR model |
Wang Yanhong | WeiFang Medcial University | none |
Wang YaYu | Qingdao University | ... |
Wang Youxin | UCAS | Deep Learning, Automatic diagnosis |
wang yu | xi'an jiaotong university | brain network; AD; MCI |
WANG YUAN HANG | Shanghai Fengxian District Central Hospital | The neural network |
Wang YuanYuan | Northwestern university | Y.gm.960725 |
wang yuekai | Wuhan University | study |
Wang Yuhan | XiDian University | Dissertation |
Wang YuLong | NanTong University | EEG |
wang yulong | Shandong University of Science and Technology | AlexNet |
wang yuncheng | University of Shanghai for Science and Technology | Brain age prediction, Machine learning |
WANG YUZHAO | Jilin University | Medical image analysis |
Wang Zhehao | Jinan University | maximum likelihood estimation,positron emission tomography,image reconstruction |
WANG ZHEN | Nanjing Medical University | Risk stratification Alzheimer's disease |
wang zhengfei | Liaoning Technical University | ADNI |
Wang ZhengXu | Beijing University of Technology | hippocampus, segmentation, deep learning, quantification |
wang zhibo | qingdaouniversity | dementia |
wang zhihui | Shenzhen Institute of Advanced Technology CAS | ALZHEIMER |
Wang ZhiYuan | The Chinese University of Hong Kong | AD |
wang zi-yu | National tiachung universety | Alzheimer’s disease |
Wang Zicheng | Shandong University | Medical image registration;Deep learning |
Wang Zicheng | Shandong University | Medical image registration;Deep learning |
wang zicheng | ECNU | student |
WANG ZIYI | BEIJING INSTITUTION OF TECHNOLOGY | 123456789 |
wang ziyi | wenzhou medical university | brain prediction |
Wangjiaxuan Xin | university of north carolina at charlotte | deep learning, Alzheimer’s disease, disease progression model, convolutional n |
wangqing wang | Hebei University | ANDI classification |
Wangshu Shen | University of Electronic Science and Technology of China | AD MRI segementation |
WangYuan Shi | Huazhong University of Science and Technology | Multi-class Classification,Multimodal Deep Learning |
wangyun wangyun | Jiangsu university | AD |
Wanjing Huang | UESTC | machine learning; multimodal;AD;risk analysis; |
wanlin Li | HeBei Medical University | Biomarkers of Alzheimer's disease |
wanlin zhu | Capital Medical University | deep learning model |
Wanpeng Tie | Karolinska Institute | brain age |
wanru zhang | Xi'an JiaoTong University | code reproducation |
wans wans | CSU | ADIA |
WANTING LI | Nanjing Medical University | Liwanting_2404 |
Wanwan LIU | Renji Hospital of Medical School of Shanghai Jiaotong University | MemTrax; AD |
Wanxin Cui | Central South University | AD |
Wanyan Feng | 广西大学 | research |
Wanyi Chen | Zhejiang University | machine learning; multi-modal |
Wanyi Wang | New York University | Myoffer2023!!!! |
Wanying Mo | Rutgers University | database |
Waqar Ali | UCB | disease clustering, progression |
Warren Barker | Mount Sinai Medical Center | Amyloid, cholinesterase inhibitor, memory |
Wasif Khan | UAE University | machine learning, explainable AI |
Wasif Khan | UAE University | machine learning |
Wasim Akram | East West University | detection, deep learning, early-onset Alzheimer, mri |
wataqi shinji | fudan uinversity | computer vision;object segmentation |
Wataru Kasai | Splink, Inc. | MCI due to AD, MRI, Neural Network |
Wawrzyniec Dobrucki | University of Illinois at Urbana-Champaign | CMRGLU, image analysis |
wayne liu | Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine | biomarkers、Alzheimer's disease |
wayne novice | xiamen university | Dementia;Deep learning;Transfer learning;FDG PET |
WB Chow | Southern Medical University | Deep learning, Radiomics |
Wei Chen | West China Hospital of Sichuan University | dementia, cardiometabolic risk factors, genetics |
WEI CHENG | Southern University of science and technology | machine learning |
Wei Dai | Chinese PLA General Hospital&Chinese PLA Medical School | deep learning; functional network;Independent Component Analysis |
Wei Dong | China National Clinical Research Center for Neurological Diseases | AD, genetics, autophagy, biomarkers, clinical characteristics |
Wei Gao | Merck | Amyloid, Tau |
wei gao | liaoning people hospital | Alzheimer disease structural magnetic resonance imaging fMRI gene |
wei ge | SCUEC | Convolutional Block Attention Module;AlexNet;CNN |
Wei Gong | Wuhan University of Science and Technology | @gongwei20011002 |
wei gou | fudan university | Alzheimer's disease |
Wei Jia | Cincinnati Children’s Hospital Medical Center | Dynamic functional connectivity |
WEI JIAN FOONG | UNIVERSITY MALAYSIA PERLIS | ALZHEIMER'S DISEASE, PREDICTION, BIOMARKERS, GENOMIC, NEUROIMAGING |
wei kong | Yantai Yuhuangding hospital | neurology |
wei li | University of Alabama at Birmingham | Proteomics, CSF, biomarker |
wei li | Zhejiang University | Disease Prediction |
wei li | gaoyou hospital | Study of functional magnetic resonance imaging in Alzheimer's disease |
wei li | Shandong Normal University | Alzheimer’s disease, brain imaging genetics, multi-modalities fusion, machine l |
Wei Liu | Soochow University | lylnb666 |
wei lu | Shandong university | 18678183268lu |
WEI LUO | The First Affiliated Hospital of Anhui Medical University | Alzheimer's disease, olfactory, magnetic resonance imaging |
Wei Mi | The university of Wollongong | Multiple imputation, joint density function estimation |
Wei Pan | University of Minnesota | Association; Genetics; Imaging genetics; SNP; Sequencing. |
Wei Peng | Kunming university of science and technology | AD, Image segamentation |
Wei Peng | Kunming university of science and technology | AD, biomarker, image study |
Wei Qiang | Institute of Software Chinese Academy of Sciences | research, database request, AD |
Wei Qiu | University of washington | Biological aging, Alzheimer's disease prediction, interpretable machine learning |
Wei Wang | Shenzhen University | deep learning; Alzheimer Disease |
WEI WANG | QINGDAO UNIVERSITY | ad |
wei wang | capital medical university | alzheimer's disease |
Wei Wei | Yale University | bayesian design, novel statistical methods, external control |
Wei Wen | University of NSW | small vessel disease, neuroimaging indexing |
wei wong | Peking University | alzheimer's disease, Cerebrospinal fluid biomarkers,left ventricular |
Wei Wu | Huazhong University of Science and Technology | AD |
Wei Xu | Ocean Univeristy of China | Endophenotype; GWAS; biomarker |
Wei Xu | Shanghai Jiaotong University,School of Medicine | Alzheimer's disease,PET, SPECT |
WEI XU | Ocean University of China | Aβ,Alzheimer, tau |
Wei Ying Tan | NUS | Brain Age, Cognition, Dementia risk |
Wei Zeng | Florida International University | Geometric registration |
wei zeng | Fujian Normal University | diagnosis Alzheimer's disease |
Wei Zhang | University of Chinese Academy of Sciences | Correction, MRI, machine learning |
Wei Zhang | Fudan University | University scientific research |
WEI ZHANG | shanghai maritime school | music audio fmri brain net |
Wei-Cheng Lai | Hasso-Plattner-Insitut | generative models, synthetic data |
Wei-en Wang | University of Florida | MCI, Free water |
Wei-Ming Su | West China Hosptial, Sichuan University | Durg target, Alzheimer's disease,Mendelian randomization |
Wei-Ying Wu | National Dong Hwa University | spatial-temporal, Brain image, Alzheimer’s Disease |
WEI-YUN TSAI | TUM | AD |
weibo pan | Kunming University of Science and Technology | Computer vision; Medical big data |
Weichen Huang | University College Dublin | deep learning, multimodal, Alzheimers's |
Weichen Song | Shanghai Mental Health Center | RNA, biomarker, alzheimer disease |
Weichen Zhou | University of Michigan Medical School | Alzheimer’s Disease, Transposable Elements |
WEICHI LI | Institute of Brain Science | machine learning, deep learning, white matter hyperintensity |
Weidong Fan | School of Public Health, Southern Medical University | Screening model, Dynamic prediction, Clinical prediction |
weidong Luo | Cortechs labs inc. | AD |
Weidong Luo | Surgalign Spine Technologies | performance evaluation, Segmentation, machine learning |
Weidong Zhang | Henan Provincial People's Hospital | Alzheimer's disease |
weifang cao | shandong first medical university | aging neuroimaging |
weihan Li | Zhejiang university of Science and Technology | neural networks brain maps |
Weihan Liu | University of Chicago | machine learning |
Weihang Dai | Hong Kong University of Science and Technology | Brain Age, Semi-supervised regression |
Weihao Shao | Zhengzhou University | Mild cognitive impairment, Risk prediction, machine learning model, Elderly |
Weihao Zheng | Zhejiang University | microstructures, longitudinal changes, predictive power |
Weihua Li | XuanWu Hospital, Capital Medical University | Alzheimer's disease, MCI and Deep learning |
weihua wu | ECJTU | 数据 |
weihua yu | suda | yuweihua5 |
WeiHua Zhang | Harbin Medical University | multiple sclerosis brain volume |
weijia liu | Beijing Institute of Technology | alzheimer's diagnosis |
weijia liu | Hebei University of Technology | brain age prediction, diagnosis of AD |
Weijia Zhang | The First Affiliated Hospital of Nanchang University | MCI |
Weijian Huang | Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences | machine learning |
Weijian Li | University of Rochester | Landmark Detection |
WeiJian Su | Dalian Minzu University | SWJ123456 |
Weijian Zhang | guangzhou university of tcm | imgaing genomics |
Weijie Gan | Siemens Healthineers | PET reconstruction, PET/MRI, deep learning |
Weijie Huang | Beijing Normal University | preclinical amyloid |
Weijie Xie | South Medical University | jie19970803071 |
weijie zhai | Jilin University | miRNAs |
Weijie Zhuang | Fuzhou University | image segmentation |
weikang Jin | Xidian University | Alzheimer,DeepLearning |
WeiLi Ba | Tianjin Medical University | a19961123 |
Weili Cheng | North China University of Water Resources and Electric Power | Time-dependent ROC curves with missing biomarkers |
Weimao Ke | Drexel University | searching, processing, classification |
Weimin Zheng | Xuanwu Hospital | Alzheimer's disease, machine learning |
WeiMing Lu | DongHua university | study |
weiming xie | Jilin Institute of Chemical Technology | brain age |
weina fan | Qufu Normal University | research |
weina yao | Gulou Hospital | ADNI |
weina yao | Gulou Hospital | ADNI |
Weipeng Xie | SUN YAT-SEN UNIVERSITY | structural equation model; latent variable |
Weiping Zhang | Fachhochschule Nordwest | education |
Weiqing Zhao | University of Bristol | Alzheimer's Disease |
Weiquan Luo | University of Pittsburgh | harmonization |
WeiTang Chang | UNIV OF NORTH CAROLINA AT CHAPEL HILL | dMRI |
Weiting OU | Jilin University | machine learning |
Weitong Zhang | Imperial College London | deep learning, image processing, artefact reduction |
Weiwei Cheng | Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine | AD,PET imaging |
Weiwei Hu | Xi'an jiaotong university | Alzheimer's Disease,CSF, |
Weiwei Men | Peking University | VBM |
weiwei wang | University of Science and Technology Beijing | Alzheime control |
Weixiang Chen | Tsinghua University | MRI diagnose, Alzheimer diagnose |
weixiao bu | Weifang Medical University | propensity scores |
weixin sun | Jilin University | AD,MRI |
Weiyan Yin | UNC Chapel Hill | fMRI, FC |
weiye Lu | Guangzhou University of Chinese Medicine | Alzheimer's disease structural covariant |
Weizhao Lu | Shandong First Medical University | machine learning |
Weizheng Li | The University of Western Australia | deep learning, prediction, alzheimer's disease |
Weizhi Wu | Sun yat-sen University | ADNI process |
WEIZHONG SU | University of British Columbia | rfMRI, DTI, connectome |
Weizhuang Zhou | Institute for Infocomm Research | Kaggle |
Wellington Pinheiro dos Santos | Universidade Federal de Pernambuco | machine learning; committees; image analysis |
Wen bo Wang | North University of China | Deep learning research |
Wen Chen | South China University of Technology | biological age prediction, statistical modeling, brain aging |
Wen Gege | Donghua University | Alzheimer's disease;mechine learning |
wen jian | Donghua University | Alzhemer's disease |
Wen Li | The University of Texas Health Science Center at Houston | dynamic prediction of Alzheimer Disease |
Wen Luo | Guangzhou University of Chinese Medicine | scoring system; conversion; cognitive normal; mild cognitive impairment; Alzheim |
WEN luo | wuhan university | MELAS |
Wen Mimi | Huazhong University of Science and Technology | early-onset AD late-onset AD texture analysis |
Wen Qin | Tianjin Medical University General Hospital | MRI,PET, generative adversarial networks, aMCI, AD |
Wen Shao | TONGJI HOSPITAL,TONG JI MEDICAL COLLEGE Of HUST | Connectomics;MCI |
Wen Shi | Xian Jiaotong University | mild traumatic brain injury |
wen sun | The Affiliated Hospital of Guizhou Medical University | 1 |
Wen Tang | Case Western Reserve University | data availablity |
wen wang | South China Agricultural University | brain imaging,ecmi,gene |
wen xuan yeo | University of Hong Kong | brain imaging |
WEN Yaping | Xiangtan University | the genetic mechanism of Alzheimer's disease |
wen yu | ShenZhen Institutes of advanced technology chinese academy of sciences | Alzheimer's disease |
Wen Ziyan | Sun-Yetsun University | AD,AI |
Wenbiao zhao | renmin university | zwb960531zwb |
Wenbo Huang | university of Macau | digital phantom, brain SPECT |
wenbo pu | cuit | medical analysis |
wenbo zhang | University of Washington | nonnegative matrix factorization, predict AD |
Wencai Ding | HMU | AD neuroimaging |
Wenhai Cui | Shandong University | identify the various biomarkers,Ensemble learning |
wenhan wenhan | student | image reconstruction |
wenhan yang | Sun Yat-sen University | research ADNI |
Wenhan Zhao | Dalian University of Technology | Medical image synthesis; GAN; |
Wenhao Bai | Shaanxi normal university | deep learning |
Wenhao Zhang | University of California, Los Angeles | Causal discovery; Alzheimer's disease |
wenhong chen | Jilin university | Neuroimaging,Alzheimer's disease,Genes |
Wenhua Wu | the University of Sydney | Deep Learning; Longitude Analysis |
Wenhui Lei | University of Electronic Science and Technology of China | one-shot, detection |
wenhui zhu | Arizona state University | Genotype-Expression-Image |
Wenjia Bai | Imperial College London | image segmentation |
Wenjie Cai | Harvard University T.H.Chan School of Public Health | neuropsychiatric symptom; cognition; Alzheimer's disease |
Wenjie Hou | Beijing Normal University | cognitive aging |
Wenjie Lin | ME Department | Digital Signal Proceesing Course Project |
wenjie liu | HEU | fmri; AD; network analysis |
Wenjie Liu | Harbin Engineering University | GWAS; phenotypic variance; genetic variance |
Wenjie Xuan | Wuhan University | medical image registration reseach |
Wenjie Yan | Taiyuan university of technology | analyzes predictions |
Wenjing Gao | guangzhou university | deep learning |
Wenjing Han | Capatical Medical University | gene multimodal |
Wenjing Jiang | Nanjing University of Information Science and Technology | recognition,classification |
Wenjing Li | Sun Yat-Sen University | lipids,cognitive impairment |
Wenjing LU | Shanghai Jiao Tong University | further state prediction, heterogeneous feature extraction, biomarker discovery |
Wenjing Zhang | Changchun University Of Science and Technology | graduation project |
Wenjing Zhu | Xidian University | AD classification and prediction |
Wenjing Zhu | Qingdao Municipal Hospital | cancer HD AD |
Wenjun Bai | ATR | dynamic effective connectivity |
wenlan zou | Shen zhen univercity | Academic research needs |
Wenli Cai | MGH | Brain Volume, AD |
Wenli Chen | The First Affiliated Hospital, Sun Yat-sen University | growth hormone pituitary adenoma; cognitive function |
Wenli Li | Shanghai Jiaotong university | multimodal, Alzheimer's Disease |
Wenliang Fan | Union Hospital, Huazhong University of Science and Technology | Alzheimer’s disease; Longitudinal change; Evolving pattern; FC |
Wenliang Zhong | University of Texas at Arlington | Medical Image Analysis, Deep Graph Learning |
Wenlong Jiang | University of Pittsburgh | neuroimaging |
Wenlong Ren | Nantong University | gene-gene interaction, gene-environment interaction, bioinformatics analysis, |
Wenqi Lyu | Sichuan University | AD MCI |
wenqi ma | shandong normal university | Alzheimer’s disease detection;deep learning |
Wenqi Shi | Georgia Insititute of Technology | Multi-modal Integration |
Wenqi Xu | Guangzhou Medical University | dna methylation |
Wenqi Zhao | Eton College | Alzheimer's disease, Convolutional Neural Network, Amyloid Plaque |
Wenqian Hao | China Medical University | Utilization |
wenqin RONG | 北京科技大学 | ADMCI |
Wenqing Liao | Chinese Academy of Medical Sciences & Peking Union Medical College | fMRI, DTI, sMRI, amygdala nuclei, hipppcampus |
Wenrui Hao | Penn State University | Mathematical models, parameter estimations, data-driven |
wenrui wang | Anhui Medical University | GWAS SNP |
Wenshan Wu | Nanyang Technological University | Deep learning, data augmentation, segmentation |
Wenshen Xu | Fujian Medical Univiersity | Biomarkers |
Wensheng Li | 华中科科技大学 | AGK |
wenshuo zhao | university of shanghai for science and technology | Alzheimer's disease |
Wentao Gao | xianjiaotonguniversity | naowangluojianmo |
wentao hou | Hebei University of Technology | academic research |
wentao jiang | Anhui Normal University | Alzheimer |
Wentao lv | Taiyuan University of Technology | tyttyz4184530 |
Wenting Zhou | 中山大学 | article |
Wenwen Song | The First Affiliated Hospital of Zhejiang Chinese Medical University | MCI FC Genomics |
Wenwen Yin | Anhui Medical University | neurology, Alzheimer's disease, cognitive impairment |
Wenwen Zeng | Fudan University | verify generalization ability of poposed model |
Wenxia Zhou | Zhejiang University | Alzheimer's |
Wenxin Jin | University of Chinese Academy of Sciences | BrainAGE AD Auxiliary Diagnosis |
Wenxin Zhang | University of California, Berkeley | Alzheimer's disease, Deep Learning, Concolutional neural network |
Wenxing Guo | University of Essex | statistics |
wenxiong li | UESTC | LSTM clinical data |
Wenxuan Cui | University of Nottingham | MCI, MRI, Machine Learning |
wenxuan guo | Shanghai university of international business and economics | Arya0131 |
Wenxuan Lin | NUIST | deep learning |
Wenxuan Tan | university of wisconsin-madison | AI, INR |
weny zhu | Hefei University of Technology | medical image super-resolution |
WenYa Yang | hangzhou dianzi university | brain imaging |
Wenyao Li | Dalian University of Technology | deep learning; gene expression analysis |
wenyi li | hebei medical university | validating analysis |
Wenyi Lin | University of California, San Diego | Longitudinla |
Wenyi Xu | Lianren Digital Health | brain MRI, CT, pretrain |
Wenying Liu | Xuanwu hospital | neurology; dementia; incidence |
Wenying Quan | The University of Texas Health Science Center at Houston | APOE4, TREM2, Microglia, FDG PET |
Wenyong Zhu | Nanjing University of Aeronautics and Astronautics | Alzheimer's disease diagnosis, sMRI, deep learning |
wenyu hu | Northeastern university china | Research |
Wenyu Lin | Fudan University | block-wise missing data analysis |
Wenyuan Li | Zhejiang University | Neurodegenerative diseases, Multi-omics, Prediction model |
Wenyuan Li | Zhejiang University | Neurodegenerative diseases, Multi-omics, Prediction model |
Wenyuan Ling | Shanghai Jiao Tong University | brain MRI, GAN , Alzheimer's |
Wenyuan Sun | university | Ph.D. student; Biostatistics; gene; disease |
Wenyue Xiao | Carnegie Mellon University | Computational Biology |
Wenzhao Wei | UNSW | Alzheimer's Diseases, Deep Learning, fMRI |
Wenzhao Zhao | Heidelberg University | deep learning, 3D image classifcation |
Wenzhe Liu | National University of Defense Technology | CNN, AI, 3D-CNN |
Wenzheng Liu | Qingdao University | Alzheimer’s disease |
Wenzhu Mowrey | Albert Einstein College of Medicine | genetics, imaging, methodology |
Wenzhuo Xu | UCAS | 7062622eve630xwz |
Weronika Sadoś | Tilburg University | Multi-voxel pattern analysis, fMRI, MCI, AD |
Weronika Skowrońska | Adam Mickiewicz University | Deep Learning, AD, healthcare |
Wes Ashford | Stanford | leptin, Alzheimer, blood, dementia |
Wesley Horton | Foundation for the National Institutes of Health | Neuroscience |
Whedy Wang | Alector Inc. | TREM2, SIGLEC 3, MS4A4A |
Wheesung Lee | Seoul National University | NC, MRI, East Asians, Koreans, Caucasians |
Whemberton Araujo | CDI | PET FDG Dataset Normal Subjects |
wicaksono leksono muhamad | institut teknologi sepuluh nopember | alzherimer, Deep learning, Convolution neural network |
Wided Hechkel | ISTIC Borj Cedria | Intelligence-Based Medicine |
wiem takrouni | National School of Engineers of Sousse | Classification, detection |
Wieske de Swart | Radboud University Nijmegen | Alzheimer's disease, deep learning, multi-modality, incomplete data |
Wieske de Swart | Radboud University | cognitive decline, survival analysis, clinical data, machine learnin |
Wildan Oktavian | Brawijaya University | Alzheimer classification, CNN |
Wildan oktavian | Brawijaya University | Alzheimer classification, CNN |
Wilfred Godfrey | ABV-IIITM Gwalior | ASL, Deep Learning, Machine Learning |
Wiliam Wang | Xinjiang University of Finance&Economics | Functional principal component analysis, non-Gaussian, longitudinal study, Kenda |
Will Matloff | University of Southern California | GWAS |
Will Morton | Science and Medicine Group | Tau-PET amyloid-PET |
Will Powley | GSK | gsk |
William Bush | Case Western Reserve University | Loss of Y, Copy Number |
William Chen | MagQu LLC | Longitudinal study, differentiate diagnosis, neurodegenerative diseases |
William Coath | UCL (University College London) | PET, amyloid, SUVR, Centiloid |
William Connelly | University of Tasmania | machine learning, teaching excersise |
William Dartora | Weill Cornell Medical College | Lipids, Alzheimer Disease, Biomarkers |
William Ferrie | University of Toronto | Centivizer, Alzheimer's Disease, Human Factors, Data Science |
William Goette | University of Texas Southwestern Medical Center | verbal memory, learning, medication side effects, dementia diagnosis, Bayesian |
William Hsueh | National Taiwan University | synthetic CT, deep learning |
William Hu | Rutgers Biomedical and Health Sciences | CSF, biomarker, cytokine, WMH |
William Kreisl | Columbia University | Psychosis, 18F-AV1451, Tau |
WILLIAM LÚLIGO MONSALVE | POLYTECHNIC UNIVERSITY OF MADRID | AI, Dataset, Desease, ML, deep learning, data explore |
William McGeown | University of Hull | neuropsychology, structural MRI, predictors of decline, conversion, MCI |
William McGeown | University of Strathclyde | Delusions; Psychosis; neuropsychiatric; VBM; neuropsychological assessment |
William Peck | Nottingham Trent University | programming, machine learning, Alzheimer's, Dementia |
William Pham | Monash | ePVS, segmentation, machine learning |
William Pham | Monash University | Perivascular spaces, machine learning |
William Rivera | University of New Hampshire | semi-supervised learning, adversarial training, data-centric AI |
William Sproviero | University of Oxford | Gene Expression, Canidate Genes, Prediction Model |
William von Fabianic | Karolinska Institute | biomarkers, Tau, AD |
William von Fabianic | Karolinska Institute | AD, biomarkers |
William Xu | Bangor High School | neural network, deeplearning |
Willis Read-Button | Merck | Target AI, predictive models, multi-omics |
Willy Liao | National Cheng Kung University | MRI, MCI |
Wilson He | 古珀医疗科技有限公司 | deep learning ;Alzheimer’s disease; structural MRI |
Wilson Xu | Keck School of Medicine of USC | perivascular space, glymphatic system, amyloid, Alzheimer's, MRI |
Wing Fung Chau | Cardiff University | Big Data, lipids and metabolites |
Wing Man Lam | The University of Hong Kong | data analysis practice |
Winnie Kwang | UCSF | ADNI; BHR |
Winnie Obunabor | Covenant University | Alzheimer's disease, neuroimaging, 3D convolutional neural network, brain MRI |
Winson Fu Zun Yang | Texas Tech University | network analysis |
Winston Chen | University of Washington | Neural networks; Biological Interaction |
Winston Chu | University of Florida | diffusion MRI, AD, free water, basal forebrain |
Witold Dyrka | Wroclaw University of Science and Technology | MRI, PET, computer-aided analysis, image segmentation, neural network, python |
Witold Synowiec | Warsaw University of Technology | bayesian statistics neural networks convolutional neural networks |
wl hu | bnu | scientific research analysis |
wm z | shanghaiTech University | decade555 |
WNAG HENG | Henan University of Technology | Assisted diagnosis of Alzheimer's disease |
Wo Shi | Liaoning Normal University | pathophysiology、rs-fMRI |
Wolfgang Kopp | Roche Diagnostics GmbH | biomarker discovery |
Won Hee Lee | Kyung Hee University | brain age prediction |
Wonchan Son | University of Warwick | MCI, AD, Deep learning, PET |
wong gary | Central South University | Artificial Intelligence,Deep Neural Networks,Interpretable classifer |
Wonjae Chang | Neurocle | AD, AI, Auto Segmentation |
WONJAE LEE | University of Missouri | Active learning, Reinforcement learning |
WonJin Yoon | Korea University | Deep Learning, Machine Learning |
wonjun lee | Kyung hee Univ | brain science |
Wonmo Koo | Korea Advanced Institute of Science and Technology (KAIST) | Alzheimer's disease, Disease evaluation prediction, Variational autoencoder |
Wonsik Jung | Korea University | Neuroimaging data, sMRI, longitudinal data |
Woo Hee Choi | College of Medicine, The Catholic University of Korea | striatum, amyloid PET, tau PET |
Woo-Suk Tae | Korea University | prediction, classification, AI |
woohyun Eum | Konkuk university | QC case control |
Woojin Jung | Seoul National University | Brain age |
Woon Yoon | National Police Hospital/South Korea | superficial white matter tract, cognitive functions, AD, MCI |
Wouter Bloem | Amsterdam UMC | Longitudinal, tau, PET, review |
wq w | Institute of intelligent information | Pattern recognition, medical image analysis and processing |
Wreni Stanley | RAJAGIRI SCHOOL OF ENGINEERING AND TECHNOLOGY | Anomaly Detection |
WRITAM MALLIK | Institution of Engineering and Management | Deep Learning, Alzheimer's diasease |
wu chao | Nanjing Medical University | Prediction; AD; ANN |
wu chen | Huazhong University of Science and Technology | image processing |
Wu Guanghui | Shandong University of Traditional Chinese Medicine | Alzheimer's |
wu hao | shanghai University | Alzheimer's disease |
wu huidong | Guangdong University of Technology | Diagnosis classification |
Wu Jiahui | beijing normal university | r-fMRI,AD |
WU JUNG-CHIH | National Taipei University of Technology | Alzheimer's disease |
Wu Lei | South Chian University of Technology | MRI deeplearning diagnosis |
wu lin | Northwest University | aaasssddd123456 |
wu miao | Zhejiang University/China | research |
wu nian | East China Normal University | registration analysis |
Wu Qingfu | SCNU | Medical imaging research |
Wu Rui | Southeast University | risk prediction, disease progression modeling |
Wu ruizhen | SUN YAT-SEN UNIVERSITY | multiple sclerosis |
Wu shuai | hangdian | cognitive impairment |
wu sijie | 武汉大学 | interval-censored CFA |
wu tianshu | Fudan University | wts981215 |
Wu Tongzhou | University of Chinese Academy of Sciences | data preprocessing |
Wu Weidong | china medical university | nuclei |
Wu Xiaofeng | Xi'an Jiaotong University | mri |
wu xiaofeng | Xi'an jiaotong University | MRI AD |
Wu Xiaowei | The First Affiliated Hospital of Soochow University | cortex, white matter, Subcortical nuclei |
Wu Xinzhen | Shanghai Maritime University | lzhlmcl206 |
wu xubin | Taiyuan university of Technology | brain network; |
WU YAN | Central hospital of Wuhan | radiology |
wu yanfei | fudandaxue | wyf19981001@ |
wu yifei | Guizhou University | LEAP study |
Wu Yingtong | Shenzhen University | AD, brain age |
wu yongliang | Shanxi University | semi-supervised learning, mental disorders, classification, diagnosis |
Wu Yutong | Beijing University of Technology | CNN;Deep learning;Image division |
WU ZHIWEI | Soochow University | Multimodal Imaging: Brain Structure, Functional Networks and Metablism Study of |
WU ZIYUAN | Nanjing University | multimodal learning |
wudi xiaono | Liaoning Technical University | RNN、predict、missing data padding |
wufenger wufenger | wufenger | Rich-Club |
Wuhai Tao | Shenzhen University | SCD, MCI, fMRI, |
Wuliang Huang | Institute of Computing Technology, Chinese of Academy of Sciences | Alzheimer's disease, Mental disorder |
wuyang chen | Central South University | multimodal,registration |
Wuyi Wang | Yale University | fMRI, PET, EEG, Neurodegenerative disease, Aging |
Wyllians Vendramini Borelli | Pontifical Catholic University of Rio Grande do Sul | MRI; PET; AMYLOID; MACHINE LEARNING |
x l | imperial | mri |
X Z | SDNU | MRI |
Xabier Mugica | Mondragon Unibertsitatea | fMRI |
xaioxaio he | 安徽大学 | ADNI |
Xander Apicella | Cal Poly, SLO | Alzheimer's Disease, fMRI, MRI, Brain Imaging, Early Detection |
Xander Hoishik | Hill School | Hill School |
Xanthy Lajoie | University of Montreal | Alzeimer's Disease, working memory, cognitive decline |
Xavier Bledsoe | Vanderbilt University | Neuroimaging, Transcriptomics, endophenotypes |
Xavier Cadet | Imperial College London | Machine Learning, Dementia |
Xavier Ju | USGD | zhuxa2020 |
Xavier Lince | EPFL | machine learning, alzheimer, deep learning |
Xavier Pennec | Inria | Computational anatomy, anatomical variability |
Xavier Sevillano | La Salle - Universitat Ramon Llull | imaging, machine learning, multimodal biomarkers |
Xavier Teitsma | F Hoffman-La Roche | Elecsys, tTau, pTAU, MCI, AD |
XDSFSDF SDAF | NITK | DASHBOARD |
Xenia Kobeleva | University of Bonn | modeling, brain dynamics |
Xi Chen | University of Rochester Medical Center | APOE |
Xi Chen | Sun Yat-sen University Cancer Center | Limit sample size; Meta-learning; Model pretraining |
Xi Dai | Renmin University of China | 111 |
Xi Jia | University of Birmingham | Registration |
Xi JianDong | Chongqing University | Do not have |
Xi Liu | university of pennsylvania | Alzheimer's Disease |
Xi Luo | University of Texas Health Science Center at Houston | statistics, machine learning, method development |
Xi MengBo | Henan Polytechnic University | Neurology |
xi ruo | ningbo university | cerebrovascular diseases and other related work |
Xi Wang | Pennsylvania State University College of Medicine | Nonignorable Missing, Intensive longitudinal data |
Xi Yang | Maastricht univerisity | Brain network dynamics, fMRI, Multivariate classification, Salience nwtwork |
Xi Zhang | neu software | MRI brain |
xi zhou | Hainan University | machine learning, high-risk, dementia |
Xi Zhou | Shenzhen Second People's Hospital | automatic ventricle segmentation |
xia jie | University of Electronic Science and Technology of China | deep learning |
Xia Jingyu | Beijing Jiaotong University | diagnose;classification;deep network |
Xia juntao | China Pharmaceutical University | AD,biomarker genomics, |
xia lin | ShanDong University | Deep learning, machine learning |
Xia Minghong | the chinese university of Hong Kong, Shenzhen | research usage, estimating CT from MRI |
XIA Peng | HKU | fMRI structural MRI |
Xia Wu | East China Normal University | Medical Image Synthesis |
Xia Xi | NanJing Tech University | Bocon123 |
xia xu | University of Shanghai for Science and Technology | project |
xia zhao | Changsha University Of Science & Technology | CNN |
xia zhou | first affiliated hospital of anhui medical university | Alzheimer's disease fMRI MCI |
Xia Zhou | the First Affiliated Hospital of Guangxi Medical University | zhouxia123 |
Xiabin Zhang | Wenzhou University | zxb262402 |
XIAHAN HAO | UNIVERSITY OF DUNDEE | hxh2000108 |
Xiahao Ding | Nanjing Medical University | Alzheimer’s disease, diabetes, biomarkers |
Xiali Shao | Fudan University affiliated Zhongshan Hospital | Parkinson's Disease, Normal control |
xiamaomi maomi | Shanghai normal university | MM@@77maomaowudi |
Xian Ding | Chinese Academy of Medical Sciences and Peking Union Medical College | batch effect removal method test |
xian wei | Technical university of munich | computer science |
xian yuanhui | Northeast Normal University | clustering algorithm; Longitudinal data analysis; Heterogeneous nonparametri |
Xiang Ao | Rutgers University | Database Systems for Data Science – CS527 |
Xiang Chen | University of Leeds | Image Registration, Deep learning |
xiang chen | Southeast University | FC ASL hippocampus |
Xiang Fan | The Chinese University of Hong Kong | biomarker |
Xiang Han | University of Electronic Science and Technology of China | 3D Medical Image Analysis |
Xiang Li | rutgers university | DBS |
Xiang Li | Shandong University | DTI; brain connectivity |
xiang shun | Hebei University of Technology | deep learning |
xiang tang | Sichuan University | deep |
Xiang Wang | IUPUI | Non-parametric Kernel Estimator |
Xiang Zhang | Xi'an Jiaotong University | Brain age prediction |
Xiang-Zhen Kong | Beijing Normal University | replication analysis |
xiangbei wang | Shanghai University | cerebral ischemic stroke,head MRI |
Xiangfei Zhang | Hainan University | Alzheimer's disease; Early diagnosis; Conversion prediction |
xianglong guan | guangxi normal university | dementia; biomarkers; Alzheimer’s disease; structural MRI; neurodegeneration |
XiangLu Xiao | Aladdin | Research |
Xiangmin Han | SHU | medical image analysis, deep learning |
Xiangnan Xu | University of Sydney | statistical methodology |
xiangrong sun | 桂林医学院 | ad,Pathway-Associated Sparse Deep Neural Network |
Xiangrui Kong | University of Sheffield | Machine Learning, Multi-task Learning, Predicting AD Procession |
xiangsen zhang | Northwestern Polytechnical University | Graph Convolutional Networks,ADNI |
Xiangwei Dai | Beijing Normal University | amyloid deposition, grey matter |
Xiangxuan Kong | University of Toronto | Clinical Decision Support System; Alzheimer’s disease; Artificial Intelligence; |
Xiangyang Xu | Tianjin University | sunny1322 |
Xiangyi Cheng | Summer STEM Institute | Alzheimer's, Machine Learning, Disease Screening |
Xiangyj Jiang | Clemson university | Alzheimer’s |
Xiangyu Chen | Tsinghua | MRI, Image recognize |
Xiangyu Li | Colorado school of Mines | Machine Learning, Bioinformatics, Multi-modalities |
Xiangyu Li | Harbin Institute of Techlonogy | ADNI |
Xiangyu Zhao | Beihang University | co-expression gene network |
xiangyuan liu | Beijing Normal University | filter |
Xianhua Zhang | Shandong University | big data, Alzheimer's disease |
Xianming Gu | Guizhou University | MRI |
Xianni Kwok | Guangdong Pharmaceutical University | Algorithm to optimize |
Xiansheng Lu | Tianjin University of Technology | Complete the dissertation |
Xianxian Long | Center for Aging and Health Research, School of Public Health, Xiamen University | Neurology |
xianyang wu | Changchun University of Science and Technology | ADNI |
Xianzheng Huang | University of South Carolina | Mode regression, prediction, regressor |
xiao baihui | JILIN University | 135246xbh |
Xiao Chen | Amy Medical University, Daping Hospital | Amyloid PET, Alzheimer’s dementia, Amyloid staging |
Xiao Chen | Beijing Normal University | Alzheimer’s disease,defalut mode network |
Xiao Chen | Nan Jing Agricultural University | Disease development |
xiao Chen | Minjiang University | disease diagnosis, deep learning |
Xiao Da | Cognito Therapeutics | data analytics |
Xiao Ding | Soochow University | 1q2q3q4q |
Xiao Fan | University of Florida | machine learning modeling |
Xiao Gao | University of California, San Francisco | atrophy, cognition |
Xiao Han | Nanjing Agricultural College | Alzheimer's disease |
Xiao hang Qian | Shang hai Jiao Tong University | Alzheimer's disease, immunology |
Xiao Li | Kunming Institute of Zoology, Chinese Academy of Sciences | biomarker, candidate genes, Alzheimer's disease |
Xiao Liang | University of California, San Diego | Medical Image Visualization, Virtual Reality |
XIAO LIN HUANG | University of Science and Technology of China | Computational Model, Alzheimer’s Disease Diagnosis, |
Xiao Liu | the Pennsylvania State University | cross-modality correlations; multimodal neuroimaging; biomarker for early detect |
Xiao Liu | University of Southern California | USC |
Xiao Luo | Zhejiang University, China | fMRI/Mild Cognitive Impairment/Behavior data/Cognition |
xiao Peng | SI | AI Radiomics |
Xiao Su | Tianjin Medical University | MCI AD transformation |
Xiao Su | Tianjin Medical University | Alzheimer's disease research |
Xiao Su | Tianjin Medical University | MCI AD transformation fMRI |
Xiao Su | Tianjin Medical University | machine learning early identification |
Xiao Tang QIN | Biomedical Engeering | deep learning on AI |
Xiao Wang | WeiFang Medical University | biomarkers |
Xiao Wei | Shanghai Jiao Tong University | tudou123456 |
xiao wu | University Of Electronic Science And Technology Of China | white matter, Alzheimer's disease, age |
xiao xiao | hunan normal university | continue |
xiao xiao | hunan normal university | data application, research purposed |
xiao yuting | Shanxi University of Finance and Ecomomics | Classification model |
Xiao Zeng | Xidian University | MCI AD |
xiao-hui ma | Qingdao University | Alzheimer's disease |
Xiao-Lin AN | Hebei University | Fine classification |
XIAOAN WANG | yunnan university | Alzheimer's disease,brain disease |
xiaoben zhen | Guang dong university technology | eeg |
Xiaobin Shen | Carnegie Mellon University | survival analysis, dynamic prediction, interpretability |
Xiaocao Liu | Zhejiang University School of Medicine Second Affiliated Hospital | Resting-state functional MRI; APOE; Alzheimer's Disease; mild cognitive impairme |
xiaocheng wang | zhejiang university | MRI image segmentation |
Xiaochuan Li | University of Georgia | fMRI, deel learning, transfer learning, GAN |
Xiaochuan Shi | University of Toronto | causal inference |
Xiaochuan Sun | Harbin institute of technology | graph representation |
Xiaocong Chen | The University of New South Wales | Early Detection, Machine Learning |
Xiaocong Liu | Zhejiang university | multimodal, Alzheimer’s disease dementia assessment |
XIAODAN ZHANG | Michigan State University | mild cognitive impairment (MCI); electronic health records (EHR) |
XiaoDi Sun | Anhui Medical University | multimodal predictions |
Xiaodong Li | Stanford University | image processing |
Xiaodong Ye | Tongji Hospital, Huazhong University of Science and | Cerebral amyloid angiopathy; Intracerebral hemorrhage; Apolipoprotein E |
Xiaoduo Liu | Xuanwu Hospital of Capital Medical University | GWAS Data Analysis |
xiaofan song | Shanghai Jiao Tong University | machine learning |
Xiaofan Wei | The Second Affiliated Hospital of Chongqing Medical University | wxf1127DCH |
Xiaofan Zhang | Tongji Hospital | Neuropsychiatric behaviours |
Xiaofang Yan | Duke University | causal inference; functional data analysis |
Xiaofang Zhao | Wuhan Union Hospital | Alzheimer's disease |
Xiaofei Sun | EchoX Technology Limited | MRI EHR |
Xiaofei Wang | UAMS | machine learning, fingerprint metabolic clusters, predictive models, FDG PET |
Xiaofei Wang | West Virginia | MCI, Depression |
xiaofeng Li | the second affiliated hospital of Chongqing Medical University | cognitive impairment, brain atrophy, enlargement of ventricle |
Xiaofeng Qian | Affiliated Hospital of Xuzhou Medical University | GWAS |
Xiaofeng Yang | Emory University | hippocampus, AI |
xiaoge Wei | Henan university | Alzheimer's disease |
Xiaoguang Fan | Tianjin Medical University General Hospital | structural and functional network, nerual plasticity |
Xiaohan Xing | The Chinese University of Hong Kong | multi-modal, knowledge distillation, alzheimer's disease diagnosis |
Xiaohong Fan | Xiangtan University | MRI,reconstruction |
Xiaohong Gao | Middlesex University | multi-modal classifier, fuzzy logic |
Xiaohui Chen | Southern University of Science and Technology | brain, eye., images, genes |
xiaohui luo | Fudan University | study and research |
Xiaojia Tang | MAYO CLINIC ROCHESTER | Alzheimer's Disease; gender-specific |
Xiaojian shao | National Research Council Canada | DNA methylation; epigenetic clock; Alzheimer’s Disease; Biomarkers |
Xiaojiaqi Xiao | Hohai University | the classification of AD |
Xiaojie Lu | wannan medical college | dynamic |
Xiaojie Wang | shandong university | MRI |
xiaojie yu | Changchun University of Science and Technology | AD、MCI、NC、Computer aided |
Xiaojin Wei | Southeast University | cognitive; Parkinson |
Xiaojing Li | Carl von Ossietzky Universität Oldenburg | latent growth curve model, longitudinal trajectory, MRI, cognitive assessment |
Xiaojiu Qi | tiangong university | medical image precessing |
xiaojuan ji | JiShuiTan hospital | dementia, sMRI |
xiaokai yang | wenzhou people's hospital | AI,DIAGNOSIS |
Xiaolei Shi | Wannan Medical College | perivascular spaces; MRI; mild cognitive impairment; Alzheimer's Disease |
Xiaoli Tong | San Jose State University | diagnostic tools |
Xiaoli Yang | Shanghai Fifth People's Hospital, Fudan University | Alzheimer disease,A β asymmetric deposition,tau protein level |
Xiaoli Zhang | George Washington University | machine learning, lesion topology, clinical phenotype |
Xiaoliang Tang | Zhejiang University of Science and Technology, China | Medical Image Registration |
Xiaolin Bo | University of Science and Technology of China | Statistical longitudinal data analysis |
XIAOLIN TAN | RWTH Uniklinik | fMRI, DTI, Cognition function, APOE, CSF, thalamocortical |
xiaolin xu | Renmin university of China | Attempted analysis |
Xiaolin Yang | Shenzhen Second People's Hospital | cognitive decline |
Xiaoling Zhang | Boston University | Alzheimer's disease, age, biomarkers, proteomics, metabolomics |
xiaoling zhong | Qingdao Central Hospital, Qingdao University | CSF GAP-43 |
Xiaolong Liu | Fudan University School of management | wavelet regression |
Xiaolong Wang | Northeastern University, China | Parkinson's disease, Image fusion, Image Classification, CNN |
Xiaoman Zhang | Shanghai Jiao Tong University | classification, 3D CNN, |
xiaomei lin | Shanghai fifth People's Hospital of Fudan University | research |
Xiaomei Mi | Sichuan University | graph neural network, anomaly |
Xiaomei Yue | Guangzhou university of chinese medicine | MRI MCI Classification |
XIAOMEI YUE | unversity of north carolina at chapel hill | MRI diabetes AD |
XIAOMEI YUE | UNC at Chapel Hill | MRI diabetes AD |
Xiaomeng Xu | Ruijin Hospital | predictors; AD; cognitive decline |
xiaomian Tong | UESTC | multi-Class Classification, fMRI, Tensor |
Xiaoming Zheng | Charles Sturt University | Bayesian network. FreeSurfer; Alzheimer's disease; MRI T1 Weighted Images |
XiaoMo Li | Imperial College London | alzheimers disease |
Xiaona Huang | Chinese Academy of Sciences | 1KX76 |
xiaonan cui | hangzhou dianzi university | one class classification |
xiaonan zhang | shanxi medical university | no |
Xiaoni Wang | Sir Run Run Shaw Hospital | Alzheimer‘s disease; neuroimaging; biomarkers; early diagnosis; conversion |
Xiaoning He | The Second Affiliated Hospital of Dalian Medical University | Radiomics |
Xiaoning Qian | Texas A&M | data integration |
xiaoning zheng | Jinan University | deep learning prediction Alzheimer's disease |
Xiaopan Zhang | The First Affiliated Hospital of Zhengzhou University | Alzheimer's disease, connected backbone network |
Xiaoping Wang | Zhejiang Taimei Medial Technology Co., LTD | radiomics, biomarker |
Xiaoping Zheng | Yunnan Normal University | Longitudinal data; Semi-parameter; EM algorithm |
Xiaopu ZHOU | The Hong Kong University of Science and Technology | genetics, biomarkers, risk prediction |
Xiaopu ZHOU | The Hospital for Sick Children | PRS, alzheimer, autism |
xiaoqi shen | Beijing university of technology | MRI AD |
Xiaoqi Sheng | South China University of Technology | deeplearning |
xiaoqian niu | Peking University China-Japan Friendship School of Clinical Medicine | Alzheimer disease |
Xiaoqian Wang | Purdue University | Academic use only, brain connectome, machine learning, disease diagnosis |
xiaoqian yang | ST University | ML |
xiaoqiang wu | Florida State University | statistical analysis |
Xiaoqin Cheng | Zhongshan hospital | machine learning |
Xiaoqin Cheng | Zhongshan hospital | inflammation |
Xiaoqin Wu | Xuanwu Hospital | alzheimer's disease; dementia; taopathology |
Xiaoqing Chen | University of Chinese Academy of Sciences | deep learning |
Xiaoqing Gu | Changzhou university | machine learning;disease classification |
Xiaoqing Huang | IUPUI | Transfer learning |
xiaoqing liu | Kyushu University | Deep learning, Domain adaptation |
Xiaoqing WANG | CUHK | latent variable model, bayesian, partially ordered data |
xiaoqing xu | Beijing University of Posts and Telecommunications | 3-Class Classification,cognitive assessment |
Xiaoqing Zhu | shanghai university | cnn visualization |
Xiaoqiu Zhu | Sun Yat-sen Memorial Hospital, Sun Yat-sen University | Antidiabetic drugs; Dementia; Mild cognitive impairment |
Xiaoran Chen | Duke Kunshan University | Alzheimer's data |
Xiaoran Tong | Michigan State University | Next Generation Sequencing, Deep learning, Neuroimaging |
xiaorong Liu | Guangzhou Medical University | chronic disease;AD;ADNI Data |
Xiaorui Yang | Soochow University | multi-modal |
Xiaosen Hou | Beijing Institute of Technology | deep learning |
xiaosen li | Wenzhou Institute, UCAS | Alzheimer's disease, ADNI |
xiaoshuang liang | Guangxi Normal University | Clinical AI; AD |
xiaoshuang liang | Guangxi Normal University | clinical AI |
xiaoshuang zhang | Qfnu Normal University | xs13791729296 |
xiaotang liu | shanghai normal university | MCI |
Xiaotian Li | Binghamton University | 3D GAN self-supervised learning |
Xiaotian Ma | UTHealth Houston | causation; gene expression; phenotype; instrument variable |
xiaotong Chen | huashan hospital of fudan university | Alzheimer's disease; biomarker; blood-based |
Xiaotong Ji | Kyushu University | Learning with Rejection, rejection, machine learning |
Xiaotong Jiang | UNC | decision making, treatment regimes, deep learning |
Xiaotong Pan | Sun Yet-Sen University | deep learning, classification, segmentation |
Xiaotong Wang | Qingdao University | apply for neurology research |
Xiaotong Xie | The First Affiliated Hospital of Guangdong Pharmaceutical University | Alzheimer 's disease; vascular dementia; image |
Xiaotong Yang | University of Michigan | dynamic survival prediction |
Xiaotong Zhang | Sun Yet-san University | aphasia; neuroimaging features. |
Xiaowei Song | Dalhousie University | Alzheimer's disease, aging, brain lesion index, T1-weighted MRI, T2-weighted MRI |
Xiaowei Yu | The University of Texas at Arlington | Research for AD diagnosis |
Xiaowei Zhuang | Cleveland Clinic Nevada | imaging, genetics, machine learning |
Xiaowen Chao | Shanghai Jiao Tong University | Alzheimer's disease (AD),machine-learning model,metabolomics,external validation |
Xiaowen Sun | Shandong University | academic research |
xiaoxi he | Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji | 861130 |
Xiaoxi Lin | Dalian University of Technology | TDA classification |
Xiaoxi Pan | Ecole Centrale de Marseille | Alzheimer Disease, Segmentation, Classification, Computer Aided Diagnosis |
Xiaoxiao Wang | Peking University Third Hospital | cerebral small vessel disease (CSVD); cognitive impairment; dementia; ADNI |
Xiaoxiao Wang | University of Science and Technology of China | fMRI, Season, Aging, Resting State |
Xiaoxiao Zhou | The Chinese University of Hongkong | functional data |
xiaoxie mao | Xiamen University | AD research |
Xiaoxue Zhang | Qingdao University | Alzheimer’s disease, epidemiology, modifiable risk factors, prevention |
xiaoya pang | Guangxi medical university | medical |
Xiaoyan Han | Sun Yat-sen Memorial Hospital,Sun Yat-sen University | cognitive decline,cerebral small vessel disease (CSVD), |
xiaoyan sun | University of Miami | synaptic function, brain MRI, cerebrospinal fluid |
Xiaoyan Xu | JoeKai Bio | Computer-aided diagnosis, deep learning, Alzheimer's disease |
Xiaoyan Zhang | The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical | Alzheimer’s disease; Apolipoprotein C-III; Beta-amyloid; Tau protein |
Xiaoyang Li | ShanXi Medical University | mild cognitive impairment;MRI |
Xiaoyang Zou | Huazhong University of Science and Technology | brain segmentation |
xiaoyi fu | Institution | analysis |
XiaoYi Huang | N/A | research |
xiaoyi li | the Second Hospital of Zhejiang University School of Medicine | Alzheimer, PET, MRI |
Xiaoyi Wang | George Washington University | Alzheimer’s disease |
Xiaoyi Wang | Beijing Normal University | adaptive test, high-dimensional regression |
Xiaoying Mo | Guangxi University | computer vision research, medical image registration |
Xiaoyong Zhang | National Institute of Technology, Sendai College | Deep learning, |
Xiaoyu Bai | Northwestern Polytechnical University | Deep learning; MCI; AD |
XIAOYU CHEN | SHANGHAI MARITIME UNIVERSITY | Alzheimer disease |
Xiaoyu Han | University of Electronic Science and Technology of China | graph wavelet transforms |
xiaoyu hu | peking university | fpca |
XIAOYU MA | Shandong University | additive model |
xiaoyu yang | xiangtan university | Clustering |
Xiaozheng Chen | Xiamen University | neuroimaging, dynamic functional connectivity, deep learning, |
Xiaozheng Liu | Wenzhou medical university | fmri depression |
xiaozhou chao | East China University of Science and Technology | learninng |
xiaozhou chao | East China University of Science and Technology | learninng |
Xiaozhou Shi | Beijing University of Technology | CNN, classification of Alzheimer’s disease |
Xiatian Zhang | University of Southampton | Neuroimaging |
xichen wu | Shanghai University | Graph Theory, fMRI, Alzheimer's disease |
xichen zhao | no | Alzheimer's disease, clinical investigation, medical imaging, pathology |
Xidong Wilson | TAQA | Data Analysis |
Xie Lihao | Wuhan University of Technology | multi-modal data |
Xie Qiang | Northwest University of Technology | AD biomarkers |
xie tingfei | Qingdao university | AD |
xijian Dai | Kangning Hospital in Shenzhen | old people, cognition |
Xikai Yang | The Chinese University of Hong Kong | Disease forecasting, time series modeling |
XILIN WU | Fujian Medical University | apoe CSF PET |
Xin Bi | Northeastern University | brain network, fMRI, Alzheimer's Disease |
Xin Chen | University of Nottingham | Longitudinal image feature extraction; disease diagnosis. |
Xin Chen | Shanghai East hospital, Tongji University, School of Medicine | Neurodegeneration, Alzheimer,cognitive impairment |
XIN CHEN | Zhonnan University of Economics and Law | semi/nonparametric regression |
Xin Di | University of medicine and dentistry of new jersey | connectivity, pet |
Xin Dong | the First Affiliated Hospital of Nanjing Medical University | Aquaporin-4 polymorphisms, resting-state brain activity |
xin feng | orhers | research |
xin fu | lnnu 辽宁师范大学 | 写论文Writing the pape |
xin gao | Beijing Institute of Technology | xinGgao1998 |
Xin Guangnan | Nuaa | research |
Xin Guangtai | Huazhong Agricultural University | data integration |
Xin Guo | The First Hospital of Hebei Medical University | blood pressure |
xin hong | XiaMenUniversity | AD, Prediction |
xin huang | Shanghai university | wu |
Xin Ju | Xi'an Jiaotong University,China | Undergraduate graduation project , Optimal transport , |
Xin Li | West Virginia University | big data, image analysis |
Xin Liu | Central South University | GCNs, fMRI, AD, MCI |
Xin Ma | Emory University | scalar-on-image regression, longitudinal measuements, regularization |
Xin Ma | The University of Texas at Arlington | graph neural network, topological analysis, Alzheimers' disease |
Xin Ma | The University of Hong Kong | deep learning; biomarker; cognitive decline |
xin ni | bosscome | registration,fusion |
Xin Shen | Beijing Normal University | DTI, fMRI, ADNI classification, deep learning |
xin wang | DALIAN UNIVERSITY | Deep learning |
Xin Wang | Hebei Medical University | envelope models |
Xin Wang | Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing | Alzheimer's disease Prediction model image |
Xin Wang | Nanjing Gulou Hospital | MRI;transcriptome;immunology;AD disease;pathogenesis; |
Xin Wen | The First Affiliated Hospital of Xi 'an Jiaotong | stroke |
Xin Xing | Institute of Biomedical Informatics | XIN |
Xin Xue | Guangxi Medical University | Alzheimer's disease |
Xin Yang | Middle Tennessee State University | deep learning, neuroimaging |
Xin Yu | Hangzhou Dianzi University | ADNI |
Xin Zhang | CQU | PET |
Xin Zhang | Northwestern Polytechnical University | dynamic functional network; brain imaging genetics |
Xin Zhang | imperial college london | distribution shift, CNN, image segmentation, multiple datasets |
Xin Zhao | Dalian University | deep learning AD prediction AD classification |
Xin Zhao | University College London | data access |
Xin Zhao | University College London | white matter hyperintensities, WMH, MRI, longitudinal prediction |
xin zhou | Huazhong University of Science and Technology | Thesis writing . Deep learning . Multi classification |
Xinbiao Wang | Wuhan University | Cox model, survival analysis |
Xinbo Wang | SHANHHAI JIAO TONG UNIVERSITY | mediation, latent confonder, Alzheimer's disease |
Xinbo Yang | Shandong Normal University | Medical image analysis, biomarker study |
xinchuan xu | Southwest University | study |
Xinfa Li | Yunnan University | machine learning, intelligent auxiliary diagnosis research |
Xinfang ZHANG | The Chinese University of Hong Kong | quasiconformal theories, deep learning, longitudinal, hippocampal shape analysis |
xing qian | NUS | metabolism, grey matter volume, dementia |
XING WEI | Michigan Technology University | Genome-wide; biomarker |
xing xia wang | Affiliated Hospital of Southwest Medical University | AD |
xing xing zhang | Nanjing University of Posts and Telecommunications | multi-modal |
xing yanan | hdu | xyn185319 |
xingbo wang | China-Japan Union Hospital of Jilin University | fMRI, Alzheimer disease, rTMS |
Xingeng Zhang | Rutgers University | ViT, Classification |
Xinghua Shi | Temple University | Biomedical data integration, privacy, security |
Xingjian Zhen | University of Wisconsin-Madison | AD, Computer science, Deep learning, Autoencoder |
xinglin lu | xihua university | machine learning;data mining |
Xinglin Zeng | University of Macau | Mild Cogntive Impairment |
xingping lv | TJCU | AD,PRS |
Xingqi Wu | The First Affiliated Hospital of Anhui Medical University | structural and functional asymmetry |
Xingxing Wang | Zhejiang University | data clustering ;feature analysis |
xingxing xu | Beijing University of Posts and Telecommunications | Classification and Prediction |
xingxing zhang | shenzhen university | resting-state fMRI, functional netwroks, white matter,high-order FC |
xingye kang | USTB | Machine learning,Classification algorithm |
Xingyu Cao | UESTC | dynamic MRI, deep learning |
XINGYU CAO | university of Tokyo | using machine learning to recoginize AD pathology |
Xingyu Gao | Shanghai Jiaotong University | Alzheimer`s disease, Muti-modality, Deep learning |
Xingyu Huang | GuiZhou University | Registration |
xingyu mu | the affiliated hospital of Guilin medical university | 18F-AV45 |
xingyu shen | Hangzhou Dianzi University | machine learning classifying |
Xingyu Zhang | Wuhan university | alzheimer's disease |
xingyuan ou | nankai | qq123456 |
Xingyue WANG | Southern university of science and technology in China | multi-modal Alzheimer's disease |
xinhao bai | Henan university of technology | medical image registration and segmentation |
xinhua huo | Hunan Normal University | JAK-STAT |
Xinhui Ma | University of Hull | Deep learning; Alzheimer's disease; Magnetic resonance imaging; Early diagnosis |
xinhui wang | shanghai jiao tong university | alzheimer's diseases |
xinjie shen | nantong university | fMRI;sMRI;deep learning |
xinju zhang | University of Shanghai for Science and Technology | phase information,nondestructive temperature measurement |
xinjuan zhang | china | healthy elderly people brain image |
xinkai kuang | Jilin University | Alzheimer’s disease,Mild cognitive impairment, Prediction |
xinkang zhang | fudan university | brain age |
Xinle Hou | NanJing University | fMRI Alzheimer's disease Pathological markers |
Xinle Tian | University of Bath | Sparse, regression, low-rank |
Xinliang Liu | Northeastern University - China | Convenient |
Xinliang Lu | Beihang university | AD; MCI |
xinlin huang | Jiangsu Normal University | Deep learning; Alzheimer's disease; Structural magnetic resonance imaging |
Xinling Deng | Tongji University | Deep learning, the diagnosis of Alzheimer's disease |
Xinling Guo | Zhejiang Univeresity | functional parcellation, resting-state fMRI, |
xinlu tang | USTC | 081810txl0527AaA |
xinning wang | Shandong Provincial Hospital | testosterone AD |
xinpeng shen | University of Minnesota | Causal inference, Causal discovery, Network Diffusion model |
Xinqi Chen | Guangdong University of Technology | computer vision, generative adversarial networks, synthesis of medical images |
Xinqi Sun | Guangzhou university | sentiment analysis of multimodal data |
xinqi wu | Shanghai Maritime University | n5211314 |
xinru xu | China Medicial university | Alzheimer’s disease; gray matter volume; tau burden; hybrid PET/MR; mediation an |
Xinru Zhang | BIT | brain lesion; domain adaptation |
Xinrui Liu | Changchun university of technology | Alzheimer's disease |
Xinrui Zhan | Beijing Institute of Technology | deep learning |
Xinrui Zhan | UCSD | Deep learning |
xinsheng wang | Chongqing University of Technology | AD;MCI;NC; |
XINTING GE | University of Southern California | AD, Image process |
xintong zhao | University of Science and Technology of China | deep learning |
Xinwei Li | Chongqing University of Posts and Telecommunications | neuromorphic networks, Memory capacity |
Xinwei Sun | Microsoft | Alzheimer's Disease, multimodality |
xinwen yin | YunNan University | registration |
Xinwen Yu | Air Force Medical University Tangdu Hospital | cognitive impairment, diabetes, obesity |
Xinxuan Zhang | Zhejiang Gongshang University Hangzhou Colege of Commerce | Alzheimer |
Xinyan Li | City University of Hong Kong | Encryption, Security, Range query |
Xinyang Feng | Columbia University | AD imaging biomarker |
xinyang jiang | ut health | biomarker |
Xinyang Li | Beijing Hospital | neurodegenerative disease; Parkinson's disease; Alzheimer's disease; depression |
xinyao Yu | Zhejiang University | progression of AD, deep learning |
Xinyi Dong | Beijing Normal University | Alzheimer’s Disease, clinical diagnosis, classification model |
Xinyi Li | Clemson University | imaging-genetics study; varying coefficient models |
Xinyi Liu | southeast university | major depressive disorder(MDD), diffusion tensor imaging(DTI) |
XinYi Wei | Nan Jing University of Posts and Communications | neuroimaging biomarkers |
XinYi Wei | Nan Jing University of Posts and Communications | Alzheimer · MRI · Deep Learning |
Xinyi X | Southwest University | Image segmentation |
XinYi Yu | Wuhan National Laboratory for Optoelectronics | image synthesis, MR-to-PET, deep learning, diagnose of AD, Cycle-GAN |
XinYi Zhang | The First Hospital of Hebei Medical University | volume, SUVR |
xinyi zheng | Shanghai Maritime University | Alzheimer's disease |
xinyu jiang | Georgia Tech | machine learning PET modal |
Xinyu MA | Zhengzhou university of light industry | deep learning, fMRI, SVM |
xinyu miao | Huazhong University of Science and Technology | academic research |
xinyu miao | Huazhong University of Science and Technology | academic research |
Xinyu Sun | Columbia University | Alzheimer's disease; ANN; XGBoost; |
Xinyu Tao | Shanghai Maritime University | algorithm, diseased brain regions |
Xinyu Xie | St. Francis Xavier University | CNN, deep learning, deep ensembles, image-to-image |
Xinyu Yu | DHU | AD classification |
Xinyu Zhai | Nanjing University of Science and Technology | Neuroimaging, Deep Learning, Alzheimer |
Xinyu Zhang | Harbin Medical University | Alzheimer's disease |
Xinyu Zhu | Capital Normal University | feature selection; classification |
Xinyuan Bi | Shanghai Jiao Tong University | AD metabolomics |
Xinyuan Chen | Mississippi State University | functional analysis, survival models |
Xinyuan Feng | Shanghai University of Finance and Economics | course final proje |
xinyuan zhang | uthealth | Image analysis combined with semantic features |
xinyue gao | Nankai University | Machine learning |
xinyue hu | Hefei University of Technology | image fusion |
xinyue lyu | guizhou medical university | MRI AD |
xinyue pan | Hebei Medical University | scientific research |
xinyue xu | Kunming University of Technology | potential biomarkers;diagnostic methods |
Xinzhe Luo | Fudan University | image registration and anlysis |
Xinzhong Li | Plymouth University | Biomarker, AD, Machine Learning |
Xinzhu Yu | The university of Manchester | causal mechanism, dementia, virus infection |
Xiong dhui | WHU | Segmentation |
Xiong Jiang | Georgetown University | Machine Learning, Prediction, Alzheimer's, Cognitive Aging |
Xiong Jiaqi | Jinan University | Adni PET AD&MCI&CN |
Xiong Li | East China Jiaotong University | deep learning, data integration |
Xiong Liang | Chongqing Institue of Green and Intelligent Technology | Deep learning,AD diagnosis |
xiong weixue | Shantou Medical College | alzheimer |
xiong xing | Central South University | CNN Transformer AD |
Xiong Xiong | Beijing University of Posts and Telecommunications | AD, EEG, MRI |
Xiong Xu | Washington University | ADNI |
XiongJun Zhao | Hunan University | Disease diagnosis, Deep learning, Domain generalization, |
xiongyonglan xiongyonglan | chongqing meidical university | 123456 |
xitian wang | Haiyang People's Hospital | YANTAI |
Xiuhua Ding | Western Kentucky University | sleep Apnea, APOE, Amyloid-beta |
Xiuli Du | Nanjing Normal University | Functional data analysis, Missing data |
xiumin liu | LAS | data |
Xiuqin Jia | Beijing Chaoyang Hospital, Capital Medical University | cognitive impairment, PD, AD, MCI, functional and structural iomarkers, |
Xiuxia Du | UNC-Charlotte | batch effect correction |
Xiuxia Miao | Guangxi Normal University | Disease prediction |
Xiuzhen Yao | Kunming University of Science and Technology | fmri |
xiwan zhang | Institute of High Energy Physics, Chinese Academy of Sciences | zhangxiwan |
Xiwei Xi | Shanghai Normal Intelligence Medical Technology Co.,ltd | MRI Data process |
xixin zhang | Peking University | classification |
Xixu Hu | University of Science and Technology of China | ADNIMERGE |
Xixue Zhang | Huadong Hospital affiliated to Fudan University | Surgery;POCD |
Xiye Wang | University of Nottingham | Mild cognitive impairment;Machine learning;Computer vision |
Xiyu Ding | Johns Hopkins School of Medicine | research, phd rotation |
Xiyuan Zhang | University of Melbourne | risk prediction |
Xiyue Shi | Cornell Tech at Cornell University | early detection |
Xiyue Sun | University of Electronic Science and Technology of China | resting-fmri, AD |
xj w | Harbin Institute of Technology | Alzheimer's disease |
XL Cheng | XMU | Image synthesis , Experiments , CGAN |
XQ CHE | shanghai jiaotong university | genotype-Neuroimaging analysis |
Xu Chen | SAS Inc | Machine Learning |
xu chuanbin | shandong University of Science and Technology | 1 |
xu guan | Hunan Normal University | gwas |
Xu Guo | JinLin University | Medical image segmentation |
Xu Hongzhou | Southwest University | Alzheimer's disease 那天、 |
Xu Hongzhou | Southwest University | Alzheimer's disease dMRI fmri Brain network |
Xu Jiahao | Zhejiang university | duo836430823 |
Xu Jiamu | none | none |
Xu Jianyu | Ocean University of China | Computer-aided Diagnosis、Multi-Modal、Missing Modal、Deep Learning |
xu jie | Nanjing University of Posts and Telecommunications | research,thesis |
xu jinghao | University of Electronic Science and Technology of China | student research |
xu jinyang | shenzhenuniversity | study research |
Xu liangkui Xu liangkui | Soochow University | 123456 |
Xu Liu | Shanghai University of Finance and Economics | Additive model, tensor decompostion |
Xu Mengru | Bengbu Medical College | cognitive risk |
Xu nuo | Zhejiang university | 1112 |
Xu Pengbo | Heilongjiang University | dMRI ComputerVision |
XU Qun | Renji Hospital, Shanghai Jiao Tong University School of Medicine | Alzheimer’s Disease; differential expression; GWAS;Mendelian randomization |
xu ruipeng | university of science and techonology of china | AD |
xu senying | Guangzhou University | identify |
xu tao | SichuanNormalUniversity | Medical Image Registration |
Xu Tian | Central South University | Machine learning,Neural Networks,Brain disease |
xu wan | Xiaoshan District Center for Disease Control | Risk factors ,diagnosis |
xu wang | Xidian University | Deep Learning , Classification |
Xu Wei | Huazhong Agricultural University | AD |
xu xiaofeng | NUIST | radiomics |
Xu Xiaowen | Tongji University | Alzheimer's disease; Multimodal images; Artificial intelligent |
XU YANG | JinLin University | interval-censored data; variable selection |
Xu Yin | southeast university | reinforcement learning, classification |
xu yujie | Anhui University | mri,pet,brain |
Xu Zhehao | The Chinese University of Hong Kong | Alzheimer’s disease, Hippocampus, Magnetic resonance imaging, 3D Convolutional n |
xu zhongyue | Zhongnan University of Ecnomics and Law | AD |
xu zhu | Yunnan University | Brain Network, Alzheimer's disease |
XU 宝红 | Hebei University of Technology | Academic research |
Xuan Cao | University of Cincinnati | sMRI, fMRI, radiomics, generalized linear models |
Xuan Gu | Linköping University | Alzheimer's Disease, MRI, Deep Learning |
Xuan He | Northeastern University | ADNI |
xuan hu | NEU | None |
Xuan Ji | TauRx Pharmaceuticals Ltd. | graduate certificate, health analytics |
Xuan Li | Southeast Univ. | MVPA, feature extraction, Alzheimer's disease |
Xuan Li | East China Normal University | Bayesian statistics |
Xuan Nguyen | The Ohio State Unversity Wexner Medical Center | deep learning, machine learning, mild cognitive impairment, Alzheimer disease |
xuan wang | University of Science and Technology Beijing | fMRI, deep learning |
xuan wang | University of Science and Technology Beijing | GNN,fMRI |
Xuan Wang | The university of Texas Rio Grande Valley | Machine Learning, Artificial Intelligence, Causal Inference |
XUAN XIAO | University of Southampton | need ADNI data in order to do dissertation |
Xuan Xu | Stony Brook University | brain |
Xuan Xu | HuaZhong agriculture university | pathogenesis,intervention measures,prediction model |
xuan yang | tianjin medical university general hospital | biomarker; genomic basis |
Xuan Zhang | Tianjin Medical University General Hospital Airport Site | biomarker research |
xuanbing niu | Dalian Minzu university | Medical image segmentation |
xuanhan fan | yunnan university | Mutil-tasks learning |
Xuanjun Liu | Guangzhou First People's Hospital | Alzheimer’s disease |
Xuanning He | Australian National University | Dementia, Cognitive Function, Lifestyle, Cognitive Reserve |
xuanping liu | Beijing Normal University | fMRI,dynamic functional connctivity, AD |
Xuanshuo Guo | QLU | computer vision Diagnosis |
Xuanwen Wang | Qingdao University | brain image |
Xubing Hao | The University of Texas Health Science Center at Houston | Ontology |
Xuchao Zhang | Northwestern Polytechnical University | 0 |
Xuchen Fang | Indiana University Purdue University at Indianapolis | Computer Imaging, Statistical Learning |
Xucheng Huang | Friedrich-Alexander-Universität Erlangen-Nürnberg | student thesis |
Xue Chen | Shandong University of Science and Technology | Alzheimer, Deep Learning, Medical Image Analysis,Computer Science |
Xue Chen | Shandong University of Science and Technology | Alzheimer, Deep Learning, Medical Image Analysis,Computer Science |
Xue Feng | University of Virginia | Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers |
Xue Gao | Shaanxi Normal University | fMRI data |
Xue Jianxiang | Henan Polytechnic University | Medical image classification |
xue jiao | Lanzhou University of Finance and Economics | Functional data analysis |
Xue Li | Beijing Institute of Technology | For research |
Xue Liu | Qingdao Municipal Hospital | Dementia |
xue shuting | Shanxi Medical University | ADNI, Genetic risk |
Xue Teng | Beijing Qiji Biotech Company | data;trace;metabolomics; |
xue wang | JILIN university | Alzheimer's,postoperative cognitive dysfunction, |
Xue Zhang | DRUM TOWER HOSPITAL | AD fMRI MCI |
Xue Zhang | DRUM TOWER HOSPITAL | intestinal flora,AD |
xue zhanqi | 上海 | image register |
xue zhao | Tianjin University | 3d head model |
Xue-Wen Xiao | Xiangya hospital, Central South University | Alzheimer's Disease Sequencing Project |
Xuebin Chang | uestc | brain ,MRI |
xuebin xu | wannan medical college | 16108090022 |
xuechu wang | Xuanwu Hospital | whole genome sequencing Alzheimer's disease |
Xuefei Yang | Simon Fraser University | ADNI study; Alzheimer’s disease; Imaging genetics data; High dimensional data; D |
Xuefeng Hou | Genentech | missing data imputation |
xuegang song | shenzhen university | deep learning |
xuehu liang | Guangdong University of Technology | Medical image research |
xuejiao pang | shandong university | fine-grained, deep learning |
Xuejuan Jiang | USC Roski Eye Institute | herpes |
Xuekui Zhang | University of Victoria | Multi-task prediction |
xueli wu | Qufu Normal University | Gets the dataset |
Xuemei Ding | Ulster University | Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction |
xuemei zhang | The Affiliated Jiangning Hospital of Nanjing Medical University | z18502516506 |
Xuemiao Zhao | first affiliated hospital of Wenzhou medical university | AD,imaging |
Xuenan Fan | Shandong University | Content-based medical image retrieval, Deep learning Network, Datasets |
Xueqin Jiang | Nanjing Medical University | T2DM Alzheimer's disease |
Xueqing Zhang | Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China | cerebral small vessel disease; cognitive decline; Alzheimer's disease |
xuesong le | Griffith University | deep learning, Alzheimer |
Xuesong Li | Beijing Institiute of Technology | asymmetry, fMRI, AD, dynamic connectivity |
Xuesong Wang | Clemson University | gan, discriminator |
Xuetong Ding | Beihang University | Alzheimer's disease |
Xuetong Ding | Beihang University | Alzheimer's disease |
Xuetong Wang | University of Waterloo | benchmark |
Xuewei Cheng | Central South University | Data preprocessing Exploratory data analysis Feature engineering Machine learnin |
Xuexiang Cao | Philips | Alzheimer, deep learning |
Xuexiong Luo | Macquarie University | Brain network analysis |
xueyan Jiang | DZNE | Amyloid, tau |
xueyan zhu | The First Affiliated Hospital of China Medical University | MRI SCD Depression |
Xufei Tan | zhejiang university city college | DTI |
xugm xugm | chongqing university of posts and telecommunications | 123 |
Xuhai Xu | University of Washington | Student, Research, Replicate a published paper |
xuhang li | Donghua University | tj654478 |
xuhong wu | Shanghai Maritime University | w00x02h11 |
xuhui zhuang | the first affiliated hospital of GuangZhou University of Chinese Medicine | mechine learning; predict model; cognitive |
xujing li | ICT | analysis |
xulong wang | Yunnan university | computer science |
xun xiao | Donghua University | deeplearning 、SMRI 、Classification、feature extraction |
xuruoyao xu | beijing university of technology | Alzheimer's disease Brain imaging data |
xuting shen | Anhui Medicial University | Alzheimer's disease |
xuwei fan | Southwest Minzu University | deep learning、mental illnesses、fmri、Pathological analysis |
Xuwen Wang | Xidian University | conversion |
Xuxiang Zhang | NJIT | Alzheimer's disease, deep learning, MRI, RNASEQ |
XUXU MU | SHANXI MEDICIAL UNIVERSITY | Image classification.Clinical information Understanding Alzheimer's disease |
Xuxu Yang | Shaanxi University of Science and Technology | ADNI Feature extraction |
xuyang cao | jd health international inc | medical image analysis; deep learning; research |
xuyang wang | University of Electronic Science and Technology of China | Structure analysis |
xuyang zhang | Xiamen University of Technology | zxy654321 |
xuyuan fang | Ningbo University | hippocampus |
Xuzhi Wang | Boston University | AD progression, joint modeling, disease progression model |
Xv Xinran | Nanjing Medical University | Alzheimer's disease |
XY A | 山东大学 | GCN, AD,Machine learning |
xy s | NWPU | database |
y low | NA | causal |
y y | sy | 1 |
Y y | neu | brain networks |
y y | 燕山大学 | EEG |
Y.JIA Y.JIA | LIAONING NORMAL UNIVERSITY | resting state |
Y.M Lin | Xidian University | 5572478Lin! |
Ya Chen | Nanjing University Of Chinese Medicine | yimoc750985 |
ya cui | Shanghai Jiaotong University | FDG PET template |
Ya Wen | SDJZ university | sMRI |
ya ya | South China Agricultural University | Detecting genetic associations with brain imaging phenotypes in Alzheimer’s dis |
ya zhou | Renmin University of China | regression model, prediction |
Ya-Ding Liu | National Tsing Hua University | deep learning |
Ya-heng Zhang | The Second Affiliated Hospital of Henan University of Science and Technology | biomarker; blood; ceRNA |
Ya-Hsuan Chang | University of Kentucky | Data analysis |
Ya-hui Ma | Qingdao University | Alzheimer's disease, biomarkers, prevention |
YA-LIN HUANG | National Tsing Hua University | rs-FMRI, federated learning |
Ya-Ling Huang | National Cwntral University | Machine Learning, BertVS |
Ya-Ning Chang | National Cheng Kung University | Interpretability; Machine Learning |
Yacila Deza Araujo | University of the Bundeswehr | CRP, inflammation, stress, ApoE4, brain makers |
Yacine Deradra | facultes des sciences | MRI CT PET SPECT imaging of brain |
Yadhu Kartha | Georgia tech | Machine learning |
Yadi Li | Affiliated Lihuili hospital of Ningbo University | networks; machine learing;multimodal |
Yadnesh Salvi | Indian Institute of Science | Alzheimer's disease, Machine Learning |
Yae Won Park | Ewha Womans University College of Medicine | ApoE4; machine learning; radiomics |
Yaeeun Kang | Soonchunhyang University | Alzhemier, cerebellar, CNN, Deeplearning |
Yaeji Kim | Korea Advanced Institute of Science and Technology | Alzheimer’s Disease, neurodegenerative, connectivity |
Yael Balbastre | Massachusetts General Hospital | MRI, brain, lifespan, model |
Yael Mandelblat-Cerf | Vigil Neuroscience | biomarker, clinical trials, apoe4 |
YAFEI QIAN | Shanghai Maritime University | research;postgraduate |
yafei wu | xiamen university | AD prediction |
yafeng li | shenzhen university | detect Alzheimer's disease |
YAĞMUR ŞANCI | Yeditepe University | cnn,deep learning,biomedical engineering |
Yahel Kleinman | Technion – Israel Institute of Technology | Hippocampus, Atrophy, DeepLearning, AD, MCI |
yahiaoui amina | Blida university | MRI/PET |
Yahyah Aman | University of Oslo | Alzheimer’s disease, mitophagy, biomarkers |
Yaissa Siqueira | Universidade de São Paulo | brain network |
Yajaira Zepeda Garcia | Universidad de Guadalajara | Biomedica, Neuroscience |
Yajie Lin | ZHEJIANG UNIVERSITY | Mild cognitive impairment, cognitive reserve, dynamic intrinsic brain activity |
yajie zhang | nanjing university of science and technology | medical AI |
Yajing Zhu | University of Cambridge | growth mixture model, longitudinal data analysis, random effects model |
Yajing Zhu | Roche | trajectories |
Yajun Yang | Ludong University | AD prediction |
YAJUVENDRA SINGH | JNU | machine learning |
Yalda Nikanpour | Mayo Clinic | Alzheimer's Disease, Deep Learning, Unsupervised Learning, Diagnosis |
Yali Gao | new york university | risk factor |
Yali Huang | Hebei University | white matter; fMRI |
yali huang | Hebei University | white matter functional activation |
YaLing Fang | Northeastern University | Diffusion Model |
YaLing Fang | Northeastern University | Diffusion model |
Yalu Wen | The University of Auckland | Risk prediction analysis |
Yamazaki Keigo | Juntendo | PET_MRI Imaging |
Yamei Liu | xi'an jiaotong university,china | cognitive impairment;dynamic predicition model;landmarking model; |
yamei liu | xi'an Jiaotong university,China | cognitive impairment; dynamic predicition;landmarking model; |
Yamil Vindas Yassine | Search Results Web results Biomedical Imaging Research Lab - CREATIS | Medical Imaging, Deep Learning, Brain, Classification |
yamin bagheri | Tehran university | deep learing, calssification, Alzheimer disease |
yan bq | university | 12110303043 |
Yan Cai | Taizhou First People's Hospital | Alzheimer's Disease; CSF; biomarkers |
yan caiying | Nanjing Medical University | early diagnosis,Imageology,MRI |
Yan Cao | University of Texas at Dallas | image analysis |
Yan Chai Hum | Universiti Tunku Abdul Rahman | Educational Material |
Yan Chu | University of Texas Health Science Center at Houston | deep learning, time series, AD onset prediction |
Yan Cui | University of Tennessee Health Science Center | Machine learning |
Yan Fang | Shanghai University of International Business and Economics | 7Yiffany |
yan gao | Xi’an Jiaotong University | multi-view classification |
Yan Hai | Georgia state university | confidence interval, sensitivity |
Yan He | Xi'an University of Posts and Telecommunications | complex network; network efficiency;network evolution |
Yan Jiang | The Ninth People's Hospital of Shanghai | drug design |
Yan Jin | University of California, Los Angeles | DTI |
Yan Li | Dalian Institute of Chemical Physics,Chinese Academy of Sciences | Deep learning |
Yan Li | Washington University in St. Louis | plasma Aβ; amyloid PET; FNIH; assay comparison |
Yan Li | Capital Medical University | Alzheimer |
Yan Li | The Chinese University of Hong Kong | HGNN, Machine learning, Alzheimer Classification |
Yan Li | Shanxi Medical University | Imaging histology Cognitive database |
Yan Li | Xi'an Jiaotong-Liverpool University | machine learning, joint modeling |
Yan Liang | University of Southern California | DTI |
yan liu | ucas | machine learning |
Yan Liu | Sichuan University | cognitive dyfunction |
yan Liu | Shaanxi Normal University | research |
Yan Liu | Shanghai Normal University | brain segmentation |
yan liu | none | fionasit61 |
Yan Lv | Hainan general hospital | sex, biological, difference |
YAN NIMA | BEIJING UNIVERSITY | RESEARCH |
Yan Niu | Taiyuan Univercity of technology | entropy |
yan pan | Hubei University of Technology | Medical Imaging |
Yan Pang | University of Colorado Denver | GNN |
yan Shen | Agency for Science, Technology and Research (A*STAR) | disease progression prediction |
Yan Su | Wuhan Tongji Hospital | hippocampal subfields |
YAN SUN | Queen Mary University of London | vision, colour study |
Yan Sun | Harvard University | dementia, mindfulness, lifespan |
Yan Tan | Beijing University of Chinese Medicine | Alzheimer's, acupuncture, meningeal lymphatics |
Yan Tingmeng | Huashan Hospital affiliated to Fudan University | AD ApoE gene |
yan wang | Guangzhou University of Chinese Medicine | functional MRI deep learning Alzheimer's disease |
Yan Wang | The First Affiliated Hospital of Wenzhou Medical University | Alzheimer and dementia |
Yan Xu | Southeast univeristy | Alzheimer's disease |
Yan Xue | arizona state university | Alzheimer's disease st-fMRI |
Yan Xue | arizona state university | Alzheimer's Disease,rs-fMRI |
yan yanghui | Henan University of Technology | MRI reconstruction |
Yan YiBo | CHINA UNIVERSITY OF PETROLEUM - BENING | Early diagnosis of Alzheimer's disease |
yan yuting | Southwest Jiaotong University | yyt123456 |
Yan Zhang | University of Edinburgh | data preprocessing |
Yan Zhao | Central south university | alzheimer'disease;aging;MCI;immunosenescence |
yan zhuang | Tianjin university | download speed |
yan zhuang | tianjin university | diagnose |
Yana Blinkouskaya | Stevens Institute of Technology | MRI, computational biomechanics, simulation and modeling |
Yana Ghanim | Tartus university | predict Alzhiemer's disease |
yanan lin | Shenzhen Kangning Hospital | Dementia risk prediction model |
Yanan Luo | Shanghai Maritime University | fMRI |
Yanan Ou | Qingdao China | ASL Perfusion |
yanawut chaiyo | mfu | classification , dementia |
Yanbin Guo | HUST | CT MRI |
Yanbin Liu | University of Western Australia | Generative, GAN |
Yanbing Hou | West China Hospital | Blood pressure variability; Default mode network; fMRI; APOE; |
YANBO SHEN | University of Wisconsin-Madison | Multivariate analysis, imaging-genetics |
Yanbo Wang | The Third Affiliated Hospital of Zhejiang Chinese Medicine University | AD,Progranulin,MR |
yanchen liu | 北京理工大学 | a6890406 |
YanCheng Lin | National Central University | None |
Yanci Zhang | Nanyang Technological University | Medical image processing, Disease comorbidity |
Yanfang Xue | Liaocheng University | functional brain networks |
yanfang Yang | QUFU normal University | ADNI |
Yanfei Wang | The University of Texas Health Science Center at Houston | AD progression, image segmentation |
Yang Bai | WHUT | 123456 |
Yang Boyu | Sun Yat-Sen university | AD, longitudinal data, MRI image data |
Yang Chen | Hebei Medical school | MRI, biomarkers, clinical related data |
Yang Desen | school | DeepLearing |
yang diandian | AnHui University | GCN, PET, sMRI |
Yang Du | Freelance | GWAS |
Yang Fan | Peking University | AD, ASL, CBF |
yang fan | Renmin University of China | hte |
Yang Feng | New York University | Alzheimer’s disease, multiclass classification, prioritized error controls |
yang fule | wanfangdata | mci, ad, predict |
yang gang | ustc | segmentation |
Yang Ganghan | Southern university of science and technology | AD |
Yang Gao | Central South University | AD/GNN/Disease Analysis |
YANG GAO | Zhejiang University | EEG, AD, preclinical |
YANG GU | BEIJING INSITTUTE OF TECHNOLOGY | Alzheimer's disease |
YANG GUL LEE | JJC Services | DeemDementia, CNN |
Yang Hao | Beihang University | Functional imaging, brain connectivity |
YANG Haofeng | city university of hong kong | research |
Yang Hu | South-Central Minzu University | classify and detect Alzheimer's disease |
yang hu | Northwestern Polytechnical University | medical imaging diagnosis |
Yang Hu | University of Manchester | deep learning and neuro network |
Yang Jianhong | Shandong University | ad |
Yang Jingyu | Beijing University of Posts and Telecommunications | associations between MCI to AD |
yang jun an | Yunnan university | jiont model |
yang kai | Tsinghua University | Diagnosis |
Yang Lee | The fist hospital of hebei medical university | Alzheimer’s disease |
yang lei | hunan normal university | matrix regression |
Yang Li | Xi'an Jiaotong University | Deep learning, patient subtyping |
yang li | USTC | biomarker |
Yang Li | Fudan University | Machine learning; dynamic prediction; subgroup analysis |
Yang Li | Neurogazer USA Inc | Machine Learning, Classification |
Yang Lijian | Chongqing University of Posts and Telecommunications | deep learning, registeration |
Yang Liu | Technical Unveristy Munich | de-facing tool for MRI |
Yang Liu | Jinan University | Alzheimer’s Disease diagnosis, Machine Learning |
yang Liu | WuHan University of Technology | Deep learning graduation project |
YANG LUO | ZhejiangUniversity | Data analysis,Scientific research training |
Yang Luo | Xiangya hospital | radiomics, MRI, AD |
Yang Ma | University of Sydney | Pretraining, T1 |
Yang Ni | Texas A&M University | causal inference, multivariate functional/longitudinal data analysis |
Yang Qinghua | North Sichuan Medical College,Sichuan,PRC | machine learning,deep learning,graphics |
Yang Shan | GANNAN NORMAL UNIVERSITY | For learning |
yang shixin | Guilin University of Electronic Technology | registration,Deep learning |
YANG SIYU | Fujian Medical University Union Hospital | ysy12348 |
yang sui | shanghai university of finance and economics | tensor statistics, medical image |
Yang Tian | Dalian University of Technology | pet |
Yang Wan | University of Pennsylvania | analysis abeta42/40 set |
Yang Wang | Southwest Jiongtong University | Alzheimer classification |
Yang Wen | EPFL | Deep learning, Computer-aided diagnosis, Psychiatric illness |
Yang wenyou | East China Univesity of Science and Technology | medical image registration |
Yang Wu | GuiZhou University | wuyang1231234 |
Yang Xiang | Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital | blood biomarkers, Alzheimer's disease, survival |
Yang xiaoxia | Xi'an Medical College | Alzheimer's disease course prediction |
yang xiaoyu | Tongji University | modality conversion |
Yang Xun | 西安石油大学 | deep learning |
YANG YAN | Northwestern Polytechnical University | Multimodal Learning |
Yang Yang | Shanghai Jiao Tong University | multi-task multi-modal learning, deep neural network, data augmentation |
yang yang | LINYI university | yangyue123 |
Yang Yang | Sun Yat-sen University | medical image analyse |
YANG YANG | Soochow University | normative data; neuropsychological test; cognition |
Yang Yang | NEU | brain study |
Yang Yang | Qianfoshan Hospital | elderly, trajectory, aging |
Yang Yang | New York University | Amyloid, Alzheimer's Disease, Florbetapir |
Yang Yang | Huashan Hospital, Fudan University | Alzheimer’s disease, functional connectivity |
YANG YE | City University of Hong Kong | network analysis |
yang yiwen | Soochow University | multi-mode MRI; cognitive decline; AD |
Yang You | univ. of science and tech. of Beijing | Research, Classifier, ML, Train |
yang yu | swjtu | graduate academic thesis |
yang zekun | Unversity of Florida | MRI,CT |
yang zhou | 东北大学 | pet-ct ADNI |
yang zhung | ntunhs | 0 |
Yang Zong-Han | National Yang Ming Chiao Tung University | machine learning |
Yangbo Liu | the First Affiliated Hospital of Wenzhou Medical University | Osteoarthritis; Alzheimer’s disease; Hippocampal volumes; Longitudinal study |
yangbo liu | the first affliated hospital of wenzhou medical university | Osteoporosis, Hippocampal Volumes |
Yangfan Ni | Zhejiang Lab | Lung nodules; Computer aided diagnosis |
yangfan ye | Zhejiang University | Mild cognitive impairment Functional magnetic resonance image Functional brain n |
Yanghaoyu Chen | UF | Machine learning |
Yanghee Im | Computational NeuroImage Analysis LAB | brain segmentation |
yanghui chen | tongji hospital | biomarkers |
Yanghui Liu | East China Normal University | functional data analysis; scalar-on-image regression |
yanghui xie | shenzhen university | research |
Yangjing Zhang | National University of Singapore | graphical model, |
Yanglin Hu | Northwest University | Alzheimer |
Yangming Ou | Boston Children's Hospital | brain development |
Yangming Shi | Yunnan University | data |
Yangqi Xu | Fudan university | Metabolism; Alzheimer’s disease |
yangxie yang | Mudanjiang Normal University | Alzheimer's disease |
Yangxu Yan | 北京化工大学 | AlzheimerAutomated diagnosis |
Yangyang song | xi'an jiaotong university | MCI cognitive impairment |
Yangyang Yi | Chinese academy of sciences | pain;hypothalamus;working memory |
Yangyi Song | 上海海洋大学 | AD |
Yangying Kuang | Chengdu Women’s and Children’s Central Hospital | Deep machine learning |
Yangyingqiu Liu | First Affiliated Hospital of Dalian Medical University | machine learning |
yangzhiyong yangzhiyong | yun nan normal university | 971105yzy. |
YangZixuan YangZixuan | Jiangsu Ocean University | Medical image detection |
yanhang zhang | Renmin university of China | scientific research |
Yanhua Peng | South China University of Technology | Alzheimer's disease |
Yaniga Swaengdee | Chulabhorn Royal Academy | DTI FA MRI Alzhaimer's disease |
Yaning Wang | Food and Drug Administration | disease model |
Yaning Zhang | 暂无 | 机器学习 |
Yanjiao Ban | Guangxi University | Alzheimer's diagnosis; Multimodal image fusion |
Yanjun Lyu | University of Texas at Arlington | AD, Brain Connectome, Genomics |
Yanjun Wu | Altaimaging | imaging |
yanli Su | Southwest Petroleum University | Medical imaging |
Yanli Wang | Qingdao University | Alzheimer's Disease |
Yanli Zhang-James | SUNY Upstate Medical University | Early detection, disease progression, machine learning, deep learning |
Yanlin Fei | Fudan University | deep learning, AD diagnosis |
Yanmei Luo | Sichuan University | PET synthesis, Deep learning |
Yanming Li | University of Michigan | local predictive brain network, network GWAS |
Yanming Li | University of Kansas Medical Center | brain network, gene network, methylation network, AD prediction |
Yann Cobigo | Unversity of California San Francisco | Dementia, Normal Aging |
Yann Le Guen | CEA | imaging genetic, heritability, cortical structures, sulci, sulcal pits |
Yanpeng Li | e First Affiliated Hospital of Hebei North University | posttraumatic stress disorder |
Yanpeng Qu | Dalian Maritime University | Feature extraction |
Yanqi Xu | New York University | Deep learning, multimodel learning |
Yanrong Guo | Hefei University of Technology | classification , neuroimaging |
Yanrui Qiang | Northwestern Polytechnical University | deep learining AD AI |
Yanshan Wang | Mayo Clinic | phenotyping algorithm, deep learning, PRS |
Yanshan Xiao | Guangdong University of Technology | Multi-view Learning |
Yanshen Sun | Virginia Tech | deep learning; multi-modalities fusion; brain imaging genetics; Alzheimer |
Yanshu Li | Case Western Reserve University | dementia, Alzheimer, imaging, big data, artificial inteligence |
yanshuai tu | arizona state university | Area Preserving Mapping |
Yansong Zhu | BC Cancer Research Institute | no-gold-standard evaluation, partial volume correction, brain PET |
Yansuo Yu | Beijing Institute of Petrochemical Technology | deep learning, medical artificial intelligence |
Yantao Song | Shanxi University | image segmentation |
yanteng zhang | Sichuan University | 武侯区 |
Yanting Liu | Jiangnan University | complex network |
Yanting Yang | Columbia University | Alzheimer's disease; Deep learning. |
yanv fu | The Affiliated Second Hospital of Zhejiang University of Medicine | Alzheimer's disease |
Yanxi Chen | Arizona State University | algorithm, imaging, BBB, AD diagnosis |
Yanxi Li | University of Durham | Markov model |
yanxia zhu | Henan General Hospital | frequent items |
Yanxian Lin | UC Santa Barbara | Alzheimer |
Yanxiao Li | the university of sydney | FDG, florbetapir, flortaucipir, alzheimer disease, diagnosis, longitudinal |
Yanxin zhou | Shaanxi Normal University | 789456zhou |
Yanxiu Ju | Jilin university | Alzheimer disease |
Yanxiu Ju | Jilin university | alzheimer disease |
yanxuan du | South China Normal University | xuanxuan94 |
YANYAN CAI | Fujian Medical University | sMRI ,dementia ,MCI |
Yanyan Kong | Fudan university | Amyloid |
Yanyan Lin | Xidian University | AD MCI Prediction |
Yanyan Tang | First Affiliated Hospital of Guangxi Medical University | Alzheimer disease; ischemic stroke; thalamus |
Yanyan Xue | Zhejiang University | Inflammation, Alzheimer's disease |
Yanyao Zhou | The University of Hong Kong | Emotion, cognition |
Yanyi Ding | Carnegie Mellon University | Machine Learning |
Yanyi Ding | Merck | tau, disease progression, QSP modeling |
Yanyu Lin | East China Normal University | deep learning, disease prediction |
Yanyuan Zhang | Beijing University of Aercnautics and Astronautics | deep learning model; Alzheimer's Disease |
Yao Du | Beihang University | Transformer, Deep learning |
Yao He | University of Utah | PET, FDG-PET, Focal AD |
Yao HU | City University of Hong Kong | multi-modality fusion |
Yao HU | City University of Hong Kong | multi-modality fusion |
Yao Jiayu | Anhui Polytechnic University | AI research |
yao jizhi | Hebei university | no |
Yao Kai | Xi'an Jiaotong-Liverpool University (XJTLU) | deep learning, slice interpolation |
YAO KUN | South China Normal University | plasma biomarker, cognitive,mild cognitive impairment, dementia |
yao ning | TYUT | zilong1314521 |
yao shimin | XD | nothing |
Yao Su | WORCESTER POLYTECHNIC INSTITUTE | brain image registration, brain image segmentation |
yao sun | yunnan university | aptx4869 |
Yao Wang | Jilin Univerisity | deep learning; comptuer science |
yao xinzhi | Huazhong Agricultural University | multimodal, biomark, Alzheimer's Disease |
Yao Yao | ShenRui | genetics |
Yao yougui | HEFEI UNIVERSITY OF TECHNOLOGY | health,disease prediction,TADPOLE |
Yao Yuan | Nanjing University of Aeronautics and Astronautics | Alzheimer's disease/ MRI |
Yao Zeng | Harbin Institute of Technology(ShenZhen) | brain networks |
Yao ZHAO | Guangdong University of Technology | resting-state fMRI analysis, sparse dictionary learning |
Yao Zhu | Southeast University | Alzheimer’s disease, resting-state functional magnetic resonance imaging, gene |
yaofei Duan | Mocao University of Polytechnology | Multimodel |
Yaohui Huang | Jimei University | disease patterns; feature learning; machine learning |
Yaomin Guo | Sun Yat-sen University | Alzheimer's disease; white matter functional topology |
Yaotian Wang | University of Pittsburgh | Human brain mapping; Bayesian statistics |
Yaoxin Li | University of Michigan | precision health, machine learning |
yaoyi wang | tianjin medical university | fmri white matter networks |
Yaoyu Zhang | Shanghai Jiao Tong University | FDG, cognitive assessment |
yaozu li | QuFu Normal University | academic research |
Yaping Wu | Henan Provincial People’s Hospital | TMS,BOLD,DTI |
YAQEEN ALI | Comsats university of Islamabad Lahore campus | White matter hyperintensities,ADNI,Segmentation |
Yaqi Bai | central South University | Multimodal Medical imaging Alzheimer's disease |
Yaqi Wu | Huazhong Agricultural University | Multimodal image fusion |
Yaqi Xu | 上海健康医学院 | Improve the paper |
Yaqian Peng | Guizhou Medical University | Neuromolecular research for alzheimer's disease |
Yaqian Zhu | University of Pennsylvania | Neuroimaging course |
Yaqin Xia | FuDan University | radiomics |
YAQING LI | Wuhan university | APOE; Alzheimer's disease;White matter lesions |
Yaqiong Chai | INI | MCI AD |
Yaqiong Xiao | UC San Diego | Structural changes; Trajectory; Clustering analysis |
Yara Abdelsalam | Yale School of Public Health | Depression, Alzheimer's, Biomarkers |
Yaren Gunduz | Ege University | alzheimer |
Yari Ramella | Arizona State University | CNN, Thesis |
Yaroslav Rohan | LPNU | Dementia, Classification, AI |
yaru chen | Jiangsu university | Health analysis |
Yaru Zhang | Fudan University | neurodegenerative diseases |
Yarui Cao | Clemson University | early detection of Alzheimer's Disease |
yasaman bakhtiari | shahab danesh university,Iran | CNN ,Alzheimer’s disease,MRI,Deep learning |
Yasaman Ebrahimi | UC Berkeley | kaggle |
Yasaman Tahernezhad | Laval university | Mediators, risk factors, PRS |
Yasamin Salimi | Fraunhofer SCAI | Alzheimer Disease |
Yasemin Topuz | Yıldız Technical University | health data, computer vision |
Yasemin Turkan | Isik University | Alzheimer, Deep Learning |
Yasemin Turkan | isik university | Alzheimer's Disease, Deep Learning, Neuro Imaging |
Yash Mishra | SRMIST Ramapuram | CNN model for detection of Alzheimer |
Yash Patel | University of Toronto | cerebral cortex, cortical thickness/area, magnetic resonance imaging |
Yash Rajesh Chhabria | University of California, Santa Cruz | Multimodal Search Engine |
Yash Vaibhav | Jadavpur University | Classifier |
Yash-yee Logan | Georgia Tech | Machine learning |
YASHAR ZEIGHAMI | Mcgill university | voxel based morphometry, white matter and grey matter atrophy |
Yashi Nan | UNSW | ADNI |
Yashovardhan Srivastava | NIT Warangal | Deep Learning, UG Research |
Yashpal Ramakrishnaiah | Monash University | #MissingDataImputation |
yashwant kumar | Transnational health science and technology institute | lipidomics, LCMS, regression, association |
Yashwanth Boinpally | University of Essex | Alzheimer's Disease, Classification, Deep Super Learners, GAN's |
Yashwanthika R | Amrita Vishwa Vidhyapeetham | CNN, Deep learning |
Yasin Amini | khuarazmi university | Prediction, ANN |
Yasir Mehmood | University of ALberta | machine learning, dementia, AD |
Yasma Esteitieh | Malmö Borgarskola | Subjective Cognitive Decline, Mild Cognitive Impairment, Alzheimer's disease |
Yasmeen George | Monash University | Multimodal, fusion. classification |
yasmeen saad | fayoum University | AD |
yasmeen saad | fayoum university | alzhiemer |
Yasmine abu adla | RHU | AI biomedical enginerring medical imaging |
Yasmine Attia | Missouri S & T | Brain networks |
Yasmine Salman | UCLouvain | subcortical nuclei, atrophy, tau, tdp43, mri |
Yasser Iturria Medina | Montreal Neurological Institute, McGill University | multimodal biomarkers, disease progression, personalized treatment needs |
Yassin Rahnama | Tehran University of Medical Science | 18F-AV-45, Florbetapir, Alzheimer’s disease |
Yassine Aakil | UMASS Lowell | AI, MRI, CT, Brain |
yassine Barhoumi | MRIMath LLC | Image registration and segmentation |
Yassine Hamdaoui | NEURODATA | AI |
Yasuhiko IKARI | Kobe City Medical Center General Hospital | PET, tau, amyloid |
Yasuhiko Terada | Japan | Data augmentation, deep neural networks |
Yasuhiro Fukushima | Gunma University | white matter lession |
Yasumasa Komoda | Japan Tobacco Inc. | neuron connectivity |
Yaswanth Akula | Prasad V. Potluri Siddhartha Institute Of Technology | Classification, Neural Network |
Yat Fung Shea | Mount Sinai Medical Center | amyloid, cognitive impairment |
Yating Lei | Harbin Medical University | alzheimer's disease,ion channel protein |
Yatsen Deng | Harbin Institute of Technology | AD hippocampus morphological changes |
Yaw Afriyie | SDD University of Business and Integrated Development Studies | capsule network, computer vision, deep learning |
yawara haga | araya | VBM MRI fMRI |
Yawei Zhang | Capital Normal University | subject research |
yawen chen | Shanghai Maritime University | AD |
Yawen Yuan | New York University | machine learning |
Yaxin Fang | Purdue University | Deep Learning, causal inference, covariate selection |
Yaxin Lei | Harvard University | Aging, Health signals |
Yaxin Lu | University of Electronic Science and Technology of China | GCN,GNN,Disease Prediction,DTI ,fMRI |
Yaxuan Wang | University of Central Florida | clustering |
Yayu Hao | Tsinghua University | Deep Learning, Medical Image Registration |
Yayu Hao | Tsinghua University | Deep Learning, Medical Image Registration |
Yayu Hao | Tsinghua University | Deep Learning, Medical Image Registration, Multi-modal |
Yazdan Rezaee Jouryabi | Shahid Beheshti University | Image registration, Landmark detection, Longitudinal MRI, Symmetric registration |
Ye HaiLi | CASIA | CV |
ye jianbo | Nanjing University of Science and Technology | PET image reconstrction |
YE JUN | china university of mining and tecnnology | research for 3D reconstruction Medicine |
Ye kailin | Guangdong Medical University | Alzheimer's disease; Deep learning; Brain MRI |
Ye Li | University of Kentucky | Multifactor Dimensionality Reduction; Risk Scores; Gene-gene Interactions |
ye li | tianjin medical university general hospital | Mendelian randomization, neurodegenerative diseases |
YE QIANQIAN | The First Affiliated Hospital of Wenzhou Medical University | Neurology |
Ye Tu | Tongji Hospital, Huazhong University of Science and Technology | POCD AD fmri DTI |
Ye Wang | Indiana University | Quantitative research |
Ye Wu | University of North Carolina, Chapel Hill | Diffusion MRI, tractography, multi-shell imageing |
Ye Xiang | Beijing University of Technology | Alzheimer |
Ye Xie | Sun Yat-Sen University | MCI, AD, brain network, tau phosphorylation |
ye zexin | guangdong university of technology | privileged information |
ye zi | hs school | smart medical auxiliary diagnosis model for Alzheimer's disease |
ye zixun | YangYong Hospital | yzx990514 |
Yeaminur Rahman | Brac University | Alzheimer's Disease |
YEAP LIANG | UTHM | Data mining |
Yebin Youn | Korea Brain Research Institute | deep-learning, machine-learning, ill, disease |
Yechan Lew | New York University | Alzheimer's Disease, Dementia, Deep Learning |
Yee Fan Tan | Monash University | Deep Learning, Cortical-surface reconstruction, neuroimaging analysis, aging |
Yee Kai Tee | Universiti Tunku Abdul Rahman, UTAR | Teaching |
Yehua Li | University of California, Riverside | functional data analysis, Alzhe |
Yejee Shin | Yonsei University | image synthesis |
yeji kim | hanyang university | AI, Deep Learning, Alzheimer |
Yejin Kim | The University of Texas Health Science Center at Houston | Cognitive assessment, medication |
Yen Ying Lim | The University of Melbourne | brain derived neurotrophic factor; apolipoprotein E; amyloid; Alzheimers disease |
Yen-Chun Fan | Taipei Medical University | dementia |
YEN-NING HUANG | Indiana University | AD CSF biomarkers, AD neuropathology |
Yenlin Lee | USC | Data Science, Neuroimaging, NIIN580 |
Yeo-Jung Cho | Seoul National University | Deep learning, Alzheimer disease, 18F-FDG PET |
Yeojin Kim | Gwangju Institute of Science and Technology | gene network |
YEON PYO | KOREA UNIVERSITY | memristor |
yeona kang | Howard Universtiy | interpretable deep learning framework for AD |
yeong in jung | konyang university | dementia |
Yeong Koh | New York University | Imputing missing clinical data |
Yera Choi | NAVER Corp. | deep learning, causal inference, multimodality |
yerang park | gachon univ. | 3D GAN |
Yerong Song | SICHUAN UNIVERSITY | algorithms |
Yesha Shah | University of New Haven | Detection, prediction |
Yeshin Kim | Kangwon National University Hospital | education, cognitive reserve, ATN |
Yésika Alexandra Agudelo Londoño | Universidad de Antioquia | dFC, resting state, based on task |
yetong chang | Harbin Medical University | Alzheimer's disease;imaging;clinical treatment |
Yeuk Lai Au | The Chinese University of Hong Kong | Neurology, bioinformatics |
yexian Zhang | the Chinese University of Hong Kong SZRI | alzheimer's-disease, omics data integration, prediction |
YEZI LI | SHANNXI NORMAL UNIVERSITY | fMRI, brain functional networks |
yh z | jiangnan university | hippocampus segmentation and classification of Alzheimer's disease |
Yi Chen | CLA Technology Co., Ltd | Machine Learning, Deep Neural Networks, Early Screening of AD |
Yi Chen | Zhejiang University | genes, AD, tau, beta-amyloid |
Yi Fang | Zhejiang University | Perivascular space |
Yi Fang | Zhejiang University | cardiovascular disease |
Yi Guan | Boston University School of Medicine | Imaging, MCI, subtypes |
Yi Guo | Xiamen Branch, Zhongshan Hospital, Fudan University | ASL. |
Yi Guo | Western Sydney University | machine learning, brain network |
YI Han | Guang'an men Hospital China Academy of Chinese Medical Sciences | Multimodal magnetic resonance techniques |
Yi han Yang | Beijing Institute of Technology | Innovation |
Yi Hao Chan | Nanyang Technological University | Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets |
yi hongyuan | zhongshan hospital | TPK1 |
Yi Huiyuan | Southwest University of Finance and Economics | The risk prediction for Alzheimer's disease |
Yi Jiang | sichuan university | AD MCI eeg |
Yi Jie He | The Second Affiliated Hospital of Harbin Medical University | Alzheimer's disease, Immune infiltration, Biomarkers, Machine learning |
Yi Jin | Sichuan University | Alzheimer's disease, Mild cognitive impairment ,Machine learning |
YI LI | WEILL CORNELL MEDICINE | tau, amyloid |
Yi Li | Brain Connectivity | brain connectivity |
Yi Ling | zhejiang university | EEG, MRI, Alzheimer's disease |
Yi Qu | Qingdao University | biomarkers, Alzheimer |
YI SHANG | 苏州大学附属第一医院 | SCD AND AD |
Yi Si | Nanjing University | FDG Data Methods |
Yi Su | Banner Alzheimer's Institute | PET, APOE, imaging |
Yi Wang | Cornell University | QSM, AD progression |
yi xia | Henan University of Science and Technology | Classification and prediction of Alzheimer's disease |
yi xia | Henan University of Science and Technology | the image classification of Alzheimer's disease, deep learning algorithms, |
Yi Xing | Xuanwu Hospital | biomarker; fMRI; structual MRI; Early Diagnosis |
Yi Xu | StFX University | Big Data Analytics |
Yi Zhan | Shanghai Public Health Clinical Center, Fudan University | HIV-associated neurocognitive disorder, Alzheimer's disease, MRI |
yi zhang | University of Goettingen | machine learning semi-supervised validation |
Yi Zhang | Dalian University of Technology | healthcare decision support methods |
yi zhang | changzhou uniersity | MRI |
YI ZHANG | HuaShan hospital, Fudan University | Prediction; Machine learning; Dementia |
Yi Zhang | Tianjin University of Technology | multi-modal medical image fusion |
Yi Zhang | zhejiang university | zhangyi520450 |
Yi Zhao | Indiana University | statistical methods; neuroimaging; multiview data integration |
Yi Zhao | USTC | heairng loss; AD ; brain; MRI |
Yi zhizhi | Xi'an JiaoTong University | PET |
yi zhou | 中南林业科技大学 | study |
yi zhou | 中南林业科技大学 | study |
Yi Zhou | Hang Zhou Dian Zi University | just for the graduation project for college |
Yi-Chieh Liu | Georgia tech | causality |
Yi-Hui Zhou | North Carolina State University | FMRI, prediction, genomics |
Yi-Jie Wu | National Chiao Tung University | Alzheimer's disease, deep learning |
Yi-Jie Wu | National Yang Ming Chiao Tung University | Alzheimer's disease, PET, MRI, GAN |
Yi-Ju Lee | Academia Sinica | biomarkers, AI methods, big data analysis |
Yi-Ju Li | Duke University Medical Center | Biomarker, genetics association, multi-state method, cognitive decline |
Yi-Kai Wang | YunTech. NYUST | AIDA |
Yi-Qian Sun | Norwegian University of Science and Technology | epidemiology |
Yi-Tien Li | Taipei Medical University Hospital | healthy aging, dementia, cardiovascular disease, AI platform |
Yi-Wei Zeng | Chang Gung University | alzheimer,eeg |
Yian Zhang | NYU | MCI, AD, prediction |
Yibeltal Ashebir | NYU Langone Health | Alzheimer's, Methylation age |
yibeltal habtamu | AAiT | data,information,knowledge then wisdom. |
Yibin Wang | ZJUT | GCN-based network, reaserch |
Yibo Liu | hcit.ai | deep learning |
Yibo Xi | ShanXi Medical University | Radiomics,Bioinformatics,Deeplearning |
Yichao Dai | Shanghai Maritime University | FMRI deep learning network |
Yichen Li | Simcere Pharmaceuticals | aging; Alzheimer's disease |
Yichen Lou | School of Mathematics, Jilin University | Interval censoring; Left truncation; Semi-parametric transformation model |
Yicheng Li | Nanyang Technological University | Physics-Constrained Machine Learning for longitudinal data modelling |
Yichi Zhang | Ruijin Hospital | cognitive decline |
Yichuan Zhao | Georgia State University | Bayesian inference, bootstrap, early disease stage, generalized order statistics |
Yicong Li | TUM | master thesis |
Yidan Feng | The Hong Kong Polytechnic University | deep learning, multi-modal diagnosis |
yidan liu | The Second Affiliated Hospital of Chongqing Medical University | find |
Yidan Shi | University of Pennsylvania | time-to-event analysis; Alzheimer's disease; |
Yifan Deng | Huazhong University of Science and Technology | semi-supervised image segmentation |
Yifan Fang | Zhongnan hospital | white matter lesions; hippocampus; basal forebrain; cholinergic system; AChE |
Yifan Gao | Northeastern University | computer-aided diagnosis, deep learning, medical image analysis |
Yifan He | Chinese University of Hong Kong | Block-wise missing data; Variable selection |
Yifan Lu | Southern Methodist University | block-wise missing, longitudinal analysis |
Yifan Peng | Weill Cornell Medicine | deep learning, AD, progression |
yifan qiao | SiChuan university | Research, MCI |
yifan qiao | SiChuan university | Research, MCI, BFN |
Yifan Sun | University of Western Ontario | DTI, functional data |
Yifan Wang | Shanghai Jiao Tong University | joint model,image,genetic data,early diagnosis |
yifan wang | Shandong Normal University | fmri |
Yifan Wu | Carnegie Mellon University | Kaggle Competition |
Yifei Chen | TYUT | DWI,b0 |
Yifei Li | zhejiang university | structure-function coupling, cognitive reserve |
yifei zhu | Zhongnan University of Economics and Law | Alzheimer's disease |
Yifeilong Wang | Xi'an Jiaotong University | 111 |
Yifeng Wang | The Hong Kong Polytechnic University | Classification for diseases |
Yifneg Yang | Universiyt of Shanghai for Science and Technology | 6206yyff6206yyff |
Yihan (Jessie) Li | Genomics Ltd | MudChuk2! |
Yihan Chen | Beijing University of Chinese Medicine | Cyh112800 |
Yihan Xie | University of Rochester | RNN Tau Amyloid |
Yihan Xie | University of Rochester | RNN Tau Amyloid |
yihang zhou | auburn university | dee learning |
Yihao Guo | Hainan general hospital | AD; cognitive impairment; Brain network |
Yihao Lin | Harbin Institute of Technology | Deep Learning, Knowledge Distillation, Computer Vision |
Yihao Xia | University of Southern California | diffusion MRI, harmonization, domain adaptation, connectivity |
Yihe Chen | Second Affiliated Hospital,Zhejiang University School of Medicine | perivascular space |
Yihua Song | Hebei University of Technology | functional magnetic resonance imaging; spiking neurnal network |
Yihuan Huang | UCLA | Categorical Predictor, Behavioral Science, Lasso Regression |
Yihuan Lu | Yale University | Deep learning, AD |
Yihui Shi | Tongji university | early diagnosis, machine learning, AD |
YII SHERN POH | Jinan University | Image Registration |
Yijing He | Tongji university | gene |
YiJing Zhang | HeBei University | MRI hippocampus |
yijing zhang | 天津医科大学总医院 | neuroimaging |
Yijun Bian | National University of Singapore | machine learning |
yikai wang | Emory University | ICA, FMRI |
Yikang Cao | Jiamusi University | graduation,deep learning research |
Yikang Liu | Pennsylvania State University | fMRI denoising method; AD prediction |
Yikuan Li | Northwestern University | Alzheimer's disease, Machine Learning, Multimodal representation |
yikun zhou | xmu | fMRI,AD |
Yilan Huang | UCLA | machine learning |
YILDIRAN YILMAZ | University of Southampton | Artificial neural Network |
YILI WANG | Beijing Technology and Business University | genetic inheritance |
Yiliang Zhang | University of Pennsylvania | penalized linear regression, biostatistics |
yilin leng | Shanghai University | CAD, deep learning, classification |
Yilin Pan | University of Sheffield | Longitudinal disease tracking; Alzherimer's Disase; CTHMM |
Yilin Xia | West China Hospital of Medicine | epilepsy;cognitive decline |
Yilun Jiang | Capital Medical University,China | Apoe4,alzheimer disease |
Yiming Chen | University of Maryland | neural network |
Yiming Fan | Georgia Institute of Technology | multi-view brain networks, brain hyperconnectome, geometric hyperconnectome |
YiMing Huang | QingDao University | Alzheimer's disease; biomarker |
Yiming Lei | Fudan University | medical image analysis, deep learning |
Yiming Li | Kansas State University | Alzheimer's, brain image, statistical |
Yiming Wang | Qufu normal university | genes |
Yiming Wei | East China Jiaotong University | study; graduate student; paper |
Yiming Wu | WenZhou Kean University | Brain image domain adaptive |
Yiming Xiao | Concordia University | deep learning, image processing, segmentation, registration |
YiMing Xie | Hunan Normal University | fMRI;Genes;Alzheimer disease |
Yiming Yin | Hangzhou City University | 1 |
yiming zhang | USTC | brain science |
yiming zhang | northestern university | AD; machine learning; deep learning; prediction task;l |
yin congfeng | Tsinghua University | experiment, deep learning models |
Yin Huang | Lerner Research Institute - Cleveland Clinic | metabolomics, network, biomarkers, Alzheimer’s Disease |
Yin Jin | Purdue | Gene MRI fmri |
Yin Kiat Nicholas Chong | Boston University | Alzheimer's Disease, Modeling, Older Adults, Predictive |
Yin Wang | shanghai maratime uniweisity | 功能连接 阿尔兹海默症机器学习 |
Yin Wenqing | Northeast Normal University | based on Alzheimer's disease data for dynamic prediction |
Yin-Ying Wang | Beijing Insititute of Genomics | Drug repositioning, deep learning, early diagnosis, molecular mechanism |
Yinan Zhang | Hangzhou Dianzi University | ANN and its application to medical image analysis |
Yinbin Lu | East China Normal University | 3D reconstruction of the brain |
Yineng Li | Shanghai University | AD GCN |
Ying Cui | Jiangsu key Lab of molecular and functional imaging, Southeast University | diabetes, MRI, dementia, risk factors |
Ying Hu | University of Shanghai for Science and Technology | MRI ;Deep Learning; AD Biomarkers |
Ying Hu | West China Hospital, Sichuan University | Alzheimer's disease;magnetic resonance imaging; risk assessment model |
Ying Hwey Nai | Clinical Imaging Research Centre | Tau, PET, visual assessment, deep learning |
Ying Liang Lai | Taipei Medical University | rsfMRI, MT, DMN, Dementia |
Ying Lin | University of Houston | multiarmed bandit, adaptive monitoring |
Ying LING Zhao | Dalian university of technology | Alzheimer's disease deep learning |
Ying Liu | RFMH | interpretable AI CNN |
ying liu | the Affiliated Hospital of Qingdao University | AD biomarker CSF PLASMA apoe |
YING MENG | Peking University | Alzheimer's disease,Machine Learning,Multimodal,Transformer |
Ying Peng | Beijing Normal University | cognitive aging Alzheimer's disease |
Ying Qin | RTI International | Machine Learning |
YING SHI | Huaqiao University | Alzheimer's disease |
Ying Wang | The Third People's Hospital of Chengdu | health control data |
Ying Wei | Northeastern University | Alzheimer's disease diagnose,Multi-modal data,landmarks |
Ying Xia | CSIRO | MRI, PET, basal forebrain, amyloid, tau |
Ying Yu | Tangdu Hospital | type 2 diabetes mellitus; working memory; compensatory mechanism; white matter r |
YING YU | Tangdu Hospital | type 2 diabetes mellitus; working memory; compensatory mechanism; white matter r |
Ying Yunqing | Huashan Hospital Affiliated to Fudan University | GDF15, mendelian randomization, dementia, imaging |
Ying Zhang | Nanjing University | aging, alzheimer |
Ying Zhang | Xuzhou medical university | T2DM,cognitive function |
Ying Zhou | Second Affiliated Hospital of Zhejiang University, School of Medicine | Glymphatic; Cerebral small vessel dieases |
Ying Zhou | University of Toronto | Causal Inference, Confounding, MMSE |
ying zhou | Central South University | research, study |
YING ZUO | Tilburg University | neural networks, Alzheimer's disease, diagnostic |
Ying-Chia Lin | NYU School Of Medicine | A-beta clearance, Adult, Affect Age, Aging, Alzheimer disease prevention |
YingChen Gao | Beijing Institute of Technology | data mining Alzheimer |
Yingchuan Chen | Beijing Tiantan Hospital | PD, fMRI, machine learning |
yingfang zhang | Jilin University | Medical imaging research, clinical research, teaching |
Yingfeng Xia | Fudan University | metabolomics; biomarker |
Yingge Zhao | SanQuan Medical College | Scientific research need to be |
Yinghan Xu | Georgia Tech | image processing |
Yinghao ZHANG | Harbin Institute of Technology | voxelmorph, ADNI |
Yinghua Fu | University of Shanghai for Science and Technology | Alzheimer’s disease, nonnegative matrix factorization, subtyping |
YINGJIA CHEN | Genentech | safety |
Yingjie Feng | Zhejiang University | MRI, CNN, AD diagnosis |
Yingjie Zhou | Sichuan University | brain connectome, network science, structure analysis, Alzheimer's disease |
Yingjuan Wu | Illinois Institute of Technology | Aging, Brain, T1-weighted, diffusion tensor imaging |
Yingjun Liu | UNC-CH | AD, Classification, Functional connectivity, SVM, Cross-Validation |
YingKe Deng | NanChang University | 520dykdsg |
yingli cao | Jiangnan University | study |
Yingli Li | Northwestern Polytechnical University | optimize the interface, share data |
Yinglin Zhang | Southern University of Science and Technology | medical image segmentation |
yingmei tang | SUN YAT-SEN MEMORIAL HOSPITAL, SYSU | wsk |
Yingna Li | Beijing Huilongguan Hospital | structural MRI, AD, control |
Yingnan E | Jilin University | fMRI study |
Yingping LI | university of paris-saclay | Magnetic Field Strength, Harmonization methods. |
Yingping LI | Centralesupelec, university of paris-saclay | magnetic field strength, harmonization methods. |
Yingqi Jiang | wu | wu |
Yingqi Zhang | Henu | GAN, multimodal deep neural network |
Yingren Mai | Sun Yat-sen Memorial Hospital, Sun Yat-sen University | Alzheimer's disease, PET-CT, MRI,Biomarker |
yingshi Yu | University of Shanghai for Science and Technology | Alzheimer‟s disease, brain network, network modeling, dynamic e |
yingtao wang | capital medical university | inflammation |
Yingteng Zhang | Taizhou University | Machine learning; MRI; DTI; FMRI |
Yingtong Wu | Shenzhen University | Brain age, Deep learning, Transfer learning |
Yingyan Wu | University of California, Los Angeles | ADRD, Causal methods |
Yingyi Guang | Beijing Jiaotong University | fMRI, functional connection |
Yingying Feng | Northeastern University | Alzheimer's Disease prediction |
Yingying Zhu | University of Texas at Arlington | AD diagnosis |
YinHe Chai | BeiJing TongRen Hospital | Alzheimer's disease, cognitive, neurology, retina |
Yini Dong | Fujian Medical University | Alzheimer's disease,imaging omics |
Yining Chen | Yale University | Alzheimers |
Yining Guo | New York University | modeling |
Yining Jiao | UNC-CHAPel hill | Data Imputation, Missing Data |
Yining Xu | sichuan university | classification |
Yining Xue | Renmin University of China | Predicting Alzheimer's syndrome |
Yinping Zhang | DaLian University | Study; ADNI; Artificial Intelligence |
YINRUI Zhang | UNIVERSITY MALAYA | prediction of Alzheimer's disease |
yinshen qin | University of Shanghai Electirc Power | medical science |
Yinuo Zhou | Sichuan University | Alzheimer's |
Yinxi Zou | Sichuan University | Mild cognitive impairment Alzheimer's disease MRI Generative Adversarial Network |
Yinxi Zou | Sichuan University | Mild cognitive impairment Alzheimer's disease MRI Generative Adversarial Network |
Yinzhu Jin | University of Virginia | deep learning, machine learning, AD classification |
yipei wang | COMMUNICATION UNIVERSITY OF ZHEJIANG | Student research |
YIQI LIN | The Chinese University of Hong Kong | HMM, number of hidden states |
yiqian luo | southwest university of science and technology | MRI, deeplearning |
Yiqiang Zhan | Karolinska Institutet | genetic risk score; polygenic risk score; progression; brain imaging; prediction |
Yiqiao Yin | Columbia University | CNN |
Yiqing Wang | Shanghai Jiao Tong University | MRI, brain age estimation |
yiran huang | Guangxi University | Imaging genetics,Multi-omics,neuroimaging biomarkers |
Yiran Nie | Beijing Institute of Technology | BCA |
YIRAN WEI | University of Cambridge | graph theory, brain networks, functional connectivity, structural connectivity |
Yiran Yang | Tongji University | deep learning,AD |
Yirong He | Beihang University | Mild cognitive impairment, Alzheimer's disease, Functional gradient |
Yiru Yang | Shandong University | successful cognitive aging |
Yirui Wang | PAII-labs Inc. | Deep Learning, Classification, Computer Vision |
yishujia yishujia | sichuan university | 123 |
Yiting Jiang | Shanghaitech University | fMRI, time series, landscape |
Yiwei Pan | Harbin Institute of Technology at Shenzhen | PET, sMRI |
YIWEN BAO | University of Hong Kong | amyloid-PET |
YIWEN DONG | UCSF | building database |
yiwen pan | ShenZhen University | GWAS |
Yiwen Rao | Harvard School of Public Health | Alzheimer's Disease, Neurofilament light chain, |
Yiwen Shi | University of Pennsylvania | MIA, genotype, Alzheimer's, cognition |
Yixin Qin | University of Electronic Science and Technology of China | Alzheimer, Deep learning |
Yixuan Wu | UNSW | CNN Alzheimer's disease |
Yixuan Zhang | Nanjing Medical University | AD,neurovascular |
Yiyang Hu | Changsha unversity of science and technology | ADNI,DoD-ADNI, AIBL,Alzheimer's disease datasets |
YIYANG WANG | DePaul Medical Informatics Lab | prognosis prediction models |
Yiyi Ma | Columbia University | fluid biomarker, PET, MRI, multi-comics |
Yiying LIU | Shandong First Medical University | dementia |
YIYU CHOU | CNRM | segmentation |
yize yang | nuc | graduation |
Yize Zhao | Yale University | imaging genetics, Bayesian modeling |
Yizhe Li | Zhejiang University | Alzheimer's disease gene Statistics Prediction |
Yizhen Xu | Johns Hopkins University | Latent variable mixture model, biomarker assessment, cancer history |
Yizhou Wan | University of Cambridge | brain tumours, surgery |
Yizhuo He | The University of British Columbia | AD classification, multimodal data, data augmentation, representation learning |
YJ CHYU | Brain institue | Thank you |
yl Dai | Central South University | Multimodal Data Analysis; Diagnosis of Alzheimer's Disease |
Ylermi Cabrera-León | Universidad de Las Palmas de Gran Canaria | Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI |
Ynse Hoornenborg | Koninklijke Philips N.V. | DeepHealth |
Yoana Rabanal | University of Castilla la Mancha | CSF, Alzheimer´s disease, biomarkers |
Yogasudha Veturi | Pennsylvania State University | sex differences, neurodegeneration, genetics, lipids, neuroimaging, stress |
Yogatheesan Varatharajah | University of Minnesota | functional connectivity, cognitive tests, cognitive decline |
Yogesh Kumar | UPES | Landmark Detection |
Yogesh Pandit | Genentech Inc. | ai, deep-nets, adni |
YOGITA CHITRIV | Yeshwantrao Chavan College of Engineering, Nagpur | Brain Image, Alzheimer, Segmenation, Classification |
Yohn Guan | Shanghaitech University | disease progression, metric learning, multi task |
Yohn Jairo Parra Bautista | Florida A&M University | social determinants, clinical, deep learning |
Yoko Shigemoto | National Center of Neurology and Psychiatry | AD |
Yomna Mohamed | Idaho State University | Alzheimer, Early detection, Biomarker, Machine Learning |
Yomna Takieldeen | Indiana University School of Medicine, Neuroscience Research Institute | Leveraging Neuroimaging data for Individualized analysis |
Yonatan Abrham | University of Massachusetts Lowell | Healthcare, deep learning |
Yong Du | Johns Hopkins University | Machine learning, progonosis, image processing |
Yong Fan | University of Pennsylvania | Pattern recognition; Machine Learning, Multi-site data |
Yong Fan | University of Pennsylvania | Deep learning |
Yong Han | Xinxiang Medical University | deep learning; AD; MRI |
Yong Han | Xinxiang Medical University | MRI, trajectory, cognitive function |
Yong Jeong | KAIST | fMRI, Resting State, DMN connectivity |
Yong Liu | Institute of Automation, Chinese Academy of Sciences | Brain network, Imaging biomarker |
YONG SEON YOO | Hanyang University | harmonization, generative model |
yong wang | 云南民族大学 | 学习 |
Yong Wu | Fudan university | causal effect |
Yong Yeol Ahn | Indiana University | network, multi-omics, data integration |
Yong-Bo Zheng | Peking University Sxith Hospital | sleep; amyloid; older adults; hippocampus |
Yong-Ho Choi | hanyang university | Imaging genetics |
Yong-Shiuan Lee | National Chengchi University, Taiwan | functional principal component analysis, deep learning, high dimensional data |
yongchang LI | Wuhan University of Technology | research |
Yongcheng Zong | Shenzhen Institute of Advanced Technology | Machine Learning, Connectivity Analysis |
yongchun Wang | jilin university | neuroimagination |
YONGGANG LU | Manukau Institute of Technology | big data dementia |
Yonggang Shi | UCLA | cortical mapping, intrinsic geometry |
Yonghang zhang | Inner Mongolia University | research needs;analysis;permission |
Yonghui Fan | Arizona State University | ADNI2-GO MRI data |
Yongjun Lee | University of California, Irvine | late fusion, GNN, CNN, multimodality, Alzheimer's Disease |
Yongkang Lin | Shandong Normal University | radiomics |
Yongli Mou | RWTH Aachen University | machine learning |
Yongliu Lin | Quanzhou Normal University | Transformer,Deep Learning |
Yongmei Tang | nanhua university | classification |
Yongmeng Zhang | Donghua University | MRI,PET,Medical image,Feature fusion |
Yongming Jia | China Pharmaceutical University | Biomarkers |
Yongming Liu | Arizona State University | MRI, diagnosis, prognosis, manifold |
yongqi du | Huazhong University of Science and Technology | deeplearning classification fMRI |
Yongqi Kang | Anhui University of Techonlogy | Try to get some relationship between key data |
yongqian zhu | AMU | AD |
Yongqiang Li | Xinjiang University | additive model |
Yongsheng Pan | ShanghaiTech University | Alzheimer's Disease, Amyloid, PET, Medical image. |
Yongsheng Zhang | Tsinghua University | Image |
Yongshun Wu | Sun Yat-sen University | Alzheiermer's Disease, mild cognitive impairment, functional MRI, brain, CSF, bi |
Yongshuo Zong | University of Edinburgh | medical imaging, machine learning |
Yongsu Jung | Chonbuk National University | Alzheimer's disease, Deep learning |
yongting cheng | Washington University in St.Louis | Segmentation; Diagnosis ;Deep Learning;VAEs-GAN |
Yongxia Zhou | New York University | white matter abnormalities, dementia |
Yongxiang Huang | The Hong Kong University of Science and Technology | Deep Learning, alzheimer diseases |
yongxiang zhao | Xuanwu hospital, Capital medical university | brain aging, amyloid, cortical volume |
Yongxin Kwong | Xiamen University | dimensionality reduction ; variable selection |
Yongxin Zhang | Southwest University | Markov, A-beta, PET |
Yongzeng Jin | China Pharmaceutical University | ceramide, Alzheimer's disease, relationship |
Yongzhi Liu | Guangxi Normal University | research |
Yoo Bin Lee | Ottawa Hospital Research Institute | Dementia, MCI, early detection, incidence rate, risk factors |
yoo sung song | Seoul National University Bundang Hospital | amyloid plaque load, genetics |
Yoon Seong Choi | Severance Hospital, Yonsei University College of Medicine | Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET |
Yoon Tae Park | New York University | Imputing missing clinical data |
Yoonguu Song | Gwangju Institute of Science and Technology | Registration |
Yoonjeong Cha | Immuneering | target identification, pathology, survival analysis, pathway analysis |
yoonsuk huh | UCSF | Deep learning, Alzheimer's disease, 18-F-AV45 |
Yoontae Kim | Chosun university | subtypes of AD |
Yooseung Shin | Korea University | AD classification, domain adaptation |
Yosef Wirian | University of Kentucky | Deep Learning, EEG, Sleep Architecture |
Yoshikazu Uchiyama | Kumamoto University | Computer aided diagnosis, Medical image recognition |
yoshiki tanaka | SORD CORPORATION | DTI-ALPS, ALPS-index |
Yoshiro Kitamura | Fujifilm corporation | brain region, predict progression, pTau |
Yoshitaka Nakamura | Eisai Co. Ltd. | MRI, PET, AD |
You Sheng Toh | National University of Singapore | hippocampus segmentation, HarP, deep learning, machine learning |
You Wu | Nanchang University | T1WI |
you wu | shenzhen university | Brain age prediction |
You-Qiang Song | The University of Hong Kong | Alzheimer's disease, Bioinformatics, DNA repair hotspots |
Youho Myong | Seoul National University Hospital | Neuroimaging, Alzheimer's |
Youjia Zhang | Neural Galaxy Inc | AD diagnosis, neuroimage analysis |
youjin ge | Shanghai Maritime University | AD |
Youjin Lee | Pusan National University | Deep Learning, Classification, Representation Learning |
YOUKANA Imane | Univesity of Biskra Algeria | ALZHEIMER, Deep learning |
Youlan shen | University of California, Los Angeles | Machine Learning, Alzheimer's |
Youler zan | shanghai jiao tong university | pet/mr |
YOUNA XIE | the Chinese University of Hong Kong | Alzheimer, sensory network, functional connectivity, rsMRI |
Younes Bouterfa | Uclouvain | AD, Detection, CNN, MRI |
YOUNES IDHAMOU | CADDI AYYAD | detect |
Young Baiyang | Henan University of Science and Technology | Medical artificial intelligence research |
Young Hee Jung | Samsung Medical Center | Alzheimer' disease |
Young Ho Park | Seoul National University Bundang Hospital | mild cognitive impairment, dementia, medial temporal atrophy, parietal atrophy |
Young Hye Kwon | KAIST | fmri, bilingual |
Young Jin Jeong | Dong-A University Hospital | MCI, FDG-PET, White matter |
Young Ju Kim | Samsung Medical Center | cortical thickness, amyloid |
Young Min Choe | Dongtan Sacred Heart Hospital | Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression |
Young Sang Choi | National Cancer Center | Neuroimaging, deep learning, multi-modal |
Young Woo | Icahn School of Medicine at Mount Sinai | Big data; integrative biology; bayesian; cognitive aging; alzheimer's disease |
Young-gun Lee | Yonsei University College of Medicine | CSF biomarkers |
Youngbok cho | Daejeon University | Alzheimer's Dementia, MRI, PET, Protein Folding |
Youngeun Hwang | Neuroscience Convergence Center | Diffusion weighted MRI |
Younghan Son | Korea University | Medical AI |
Younghee Lee | University of Utah | Biomarker, Machine learning |
Youngho Seo | University of California, San Francisco | deep learning, predictive model, early detection, florbetapir, flortaucipir |
YOUNGHYUN LEE | EHWA WOMANS UNIVERSITY | MRI, CNN |
Youngjin Lee | Gachon University | Alzheimer's disease, Image processing, Deep learning |
Youngjin Yoo | Siemens Healthineers | MR preprocessing; group analysis |
Youngjoo Cho | The University of Texas at El Paso | Survival analysis, Prediction models |
Youngwoo Kim | Yonsei University | Alzheimer's Disease, DTI |
YoungWoo Kim | University of Seoul | Deep learning |
Youngyun Kim | POSTECH | Dementia |
Youpyo Hong | Dongguk University | Deep Learning-based Alzheimer Detection |
Yousef Mokary | Shahrekord university of medical sciences | alzheimer's disease - database-ADNI - |
Yousef Mokary | shahrekord university of medical sciences | Alzheimer's disease-depression-radiomarkers |
Yousif Alsadah | Massachusetts Institute of Technology | Computer Vision |
yousra dahdouh | fst | image medical,biomarquer |
Yousra Mghabbar | University College London | Machine learning/ landmark paper in Alzheimer’s disease replication |
Yousry AbdulAzeem | Misr Higher Institute for Engineering and Technology | Alzheimer, CNN, deep learning |
Youssef ASSID | University | Deep reinforcement learning |
Youssef Ghantous | MoCA Cognition | MoCA |
youssef mohamed | cairo univesity | graduation project |
Youssef Mourdi | Cadi Ayyad University | Machine Learning, Data Analysis, Classification, alzheimer disease, Multi modal |
Youssef Saleh | Ain Shames University - Egypt - Cairo | ADNI |
Youssef Saleh | Ain Shames University - Egypt - Cairo | ADNI |
Youstina Melek | German University in Cairo | Deep Learning, Transfer Learning, MRI, Imaging Segmentation |
Yousuf Omran | Helwan | classification, NN, deep learning |
YouYu Xie | Yunnan Normal University | Complex registration |
youzhi qu | Sustech | AD, KNN |
Yp Zhong | Harbin Institute of Technology | white matter lesion; amyloid beta; Alzheimer's disease; neuroimaging |
yq lu | SIAT | 7758 |
yr xu | Tsinghua | Alzheimer |
yr xu | Tsinghua | Alzheimer |
Yu An Lin | Northeastern University | ADNI |
yu bo | zhejiangmedicaluniversity | alzhermer's disease |
Yu Cao | Beijing University of Technology | multimodal data, Alzheimer's disease, accurate diagnosis |
yu changyuan | 上海事事大学 | fMRI |
Yu Chen | Central South University | Do some researches about the AD |
yu chen | hefei university of technology | deep learning |
Yu Chen | Yu Chen | diffusion magnetic resonance imaging; white matter changes |
YU Chengming | Southern University of Science and Technology | meta learning |
Yu Chenxi | China University of Geosciences | alzheimer's disease;Brain morphologic network system |
Yu Chow Tam | Carnegie Mellon University | Machine Learning, MRI, Deep Learning |
Yu Deng | Kings College London | Medical Image Analysis; Domain Adaptation; Deep Learning |
Yu Ding | Dongbei University of Finance and Economics | survival analysis |
YU DU | Faculty of Science and Technology, University of Macau | Alzheimer's disease, deep learning, segmentation |
Yu Feifei | Tsinghua University of China | organoids,Alzheimer's disease,bio-marker,early diagnosis |
Yu Feng | Northwest University(China) | Alzheimer's disease;deep learning |
Yu Fu | Zhejiang University | Brain morphological analyses; Brain network analysis |
yu fuyu1n | 山东大学 | reserach |
Yu Gai | UESTC | Alzheimer;Classification;DeepLearning |
Yu Gong | Shenzhen Institutes of Advanced Technology Chinese academy of sciences | joint imaging; reconstruction; accelerated MRI; low-dose PET |
Yu Gu | University of North Carolina at Chapel Hill | multi-state processes, interval censoring, Alzheimer's disease |
yu guo | huazhong university of science and technology | DTI |
Yu Guo | Harbin Institute of Technology | Alzheimer's disease; GWAS |
Yu Guoxian | ShanDong University | medical image analysis,Few-short Learning,Deep Learning |
yu houyi | harerbin | batch |
yu hu | fudan university | huyu6666 |
Yu Huang | Memorial Sloan Kettering Cancer Center | hydrocephalus, deep learning, convolutional neural networks, brain MRIs |
Yu Jiang | West China Hospital, Sichuan University | Alzheimer's Disease, magnetic resonance imaging |
Yu jianzhong | Fujian normal university | Dementia Alzheimer’s disease Decision support system Machine learning Diagnosis |
Yu Jin | University of Shanghai for Science and Technology | Gene expression profile;classification;biomarkers |
Yu Jin Seol | Seoul national university | Attenuation correction, generator |
Yu Jionghua | DMTech | model training;iFLYover competition |
Yu Lei | Fudan University | DTI, fMRI, MCI, GNN |
yu li | Tianjin University | longtitude |
yu li | Hainan Provincial People's Hospital | Cognitive impairment |
Yu Lin | Texas Tech University | hippocampus image segmentation, classification, vision-to-language generation |
yu liu | central south university | elderly person |
yu Lu | Changzhou University | magnetic resonance imaging;cognitive impairment |
Yu Luo | Southwest Jiaotong University | luoyu15947913949 |
Yu Luo | Southwest Jiaotong University | research; machine learning; diagnosis |
YU MENGHAN | Southeast University | survival analysis |
yu ming | Sichuan UNIVERSITY | ming8831 |
Yu Ping | Shanxi Normal University | functional data |
Yu Ping | Shanxi Normal University | functional data |
yu qiao | Shanxi Medical University | Incomplete multi view data; Multi core learning; Alzheimer's disease; Auxiliary |
yu qiu | Chongqing University of Posts and Telecommunications | study |
Yu Quan | AHU | Quanyu.1025 |
Yu Shi | University of Nebraska-Lincoln | CT, MRI, image synthesis, computer vision, deep learning |
Yu Shi | UCLA | Early detection of Alzheimer's disease |
Yu Shun | Central university of finance and economics | research |
YU SHUN MAO | National Sun Yat-Sen University | Alzheimer’s disease |
Yu Song | Delft University of Technology | Head, shape, EEG |
Yu Sun | Johnson & Johnson | Genetic Marker Validation |
Yu Tian | beijing tiantan hospital of the capita medical university | cerebral all vessel disease; glymphatic system; dementia |
Yu Tuan | Taichung Veteran General Hospital | hippocampus segmentation, deep learning |
yu wang | 东北大学 | 医学图像分析 |
yu wang | xi'an jiaotong university | hippocampal segmentation |
Yu Wang | SUN YAT-SEN UNIVERSITY | causal inference,regression model,survival analysis |
Yu Wen | Zhejiang Provincial People’s Hospital | AD,MRI |
Yu Wen Chiu | Taipei Medical University | Alzheimer,early detection,assist decision-making,aging society |
Yu Wen Chou | National Chin-Yi University of Technology | Deep learning |
yu wenjie | Beijing University of Chemical Technology | medical image recognition research |
yu wu | 南京邮电大学 | 阿尔兹海默症 诊断预测 数据处理 |
Yu Xin Yang | 南京航空航天大学 | Alzheimer's disease |
yu xing | Northeastern University | Causal Structure Discovery |
Yu Xiong | The Seventh Affiliated Hospital, Sun Yat-sen University | fMRI;low density lipoprotein cholesterol;dementia |
Yu Xiong | The Seventh Affiliated Hospital, Sun Yat-sen University | fMRI;sMRI;low density lipoprotein cholesterol;dementia |
YU Yalan | sichuan university | study |
yu yan | asd | sdfsdf |
Yu Yanxia | The first affiliated hospital of zhengzhou university | AD;FDG;Aβ;tau |
Yu Yong Choi | Chosun University Hospital | ethnic differences, normal aging |
yu ze | Anhui Polytechnic University | brain |
yu zhan | Dalian medical university | gut microbiota、intestinal permeability |
Yu Zhang | VA Palo Alto Health Care | ADNI-DOD |
YU ZHANG | University of Sheffield | AD prediction |
YU ZHANG | University of Sheffield | AD prediction |
Yu Zhang | Lehigh University | Neuroimaging, Brain network, Machine learning |
Yu Zhang | Tianjin Medical University General Hospital | Generative Adversarial Network ,MRI ,AV45 |
yu Zhang | Xhu University | Alzheimer's Disease ,K-S Verification ,Diagnosis |
Yu-An Chen | National Yang-Ming University | Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif |
Yu-Chi Chen | Monash University | cortical morphology, machine learning |
Yu-Ching Ni | Institute of Nuclear Energy Research | Severity Rating, FDG PET images, MRI images |
Yu-Hua Fang | University of Alabama at Birmingham | PET. Image Processing |
Yu-Jen Chen | National Tsing Hua University | Machine Learning, Disease Prediction |
Yu-Sen Wang | UCLA | ML models, AD prediction, AD biomarker |
Yu-Te Wu | National Yang-Ming University | AD, MCI, classification |
yu-ting pang | National Tsing Hua University | MRI |
yuan cai | Chinese university of HongKong | plasma biomaker ,AD pathology |
Yuan Ding | New York University | For Course Project |
Yuan Gao | University of Oxford | Yeye8330209 |
yuan hang | Shandong Traditional Chinese Medicine University | denoising fMRI |
Yuan Lian | Tsinghua University | MRI Reconstruction |
Yuan Ling Huang | Chang Gung University | Alzheimer’s Disease, deep learning, Mild Cognitive Impairment |
Yuan Luo | Northwestern University | Machine Learning, sub-phenotyping |
Yuan Ma | Harvard University | cerebrovascular, MRI, PET |
yuan meng | Shandong University of Science and Technology | brain white matter |
Yuan Peng | Hunan University | deep learning |
yuan ru | Xuanwu Hospital of Capital Medical University | J Mol Neurosci |
Yuan Shaoxun | Southeast University | bioinformatics,mechanism |
Yuan Shen | Shanghai 10th People's Hospital, China | CSF, ß-amyloid (Aß), tau, postoperative neurocognitive dysfunction (PND). |
yuan wang | northeast university | Azheimer's disease, mild cgnitive impairment, brain functional network, s |
Yuan Wang | University of Shanghai for Science and Technology | Machine learning; AD |
Yuan Weimin | UESTC | AD |
Yuan Xinyu | Southeast University | classification, deep learning |
Yuan Yang | University of Oklahoma | Multi-modal analysis and deep learning |
Yuan yang Deng | Chongqing University of Posts and Telecommunications | Brain network, Figure neural network, MCI, Disease classification |
Yuan yang Deng | Tsinghua University | MCI disease, diagnosis |
Yuan Yao | SUST | deep learning, MRI |
Yuan Zhang | Qingdao University | Alzheimer disease |
Yuan Zhou | SHU | deep learning |
Yuan Zhou | Shanghai University | Deep Learning, Multi-View |
Yuan Zhou | Fudan University | disease progression model, event-based model |
Yuan-Hsuan Lin | Adelphi University | review, AD, Machine Learning, Alzheimer's Disease |
Yuan-Wei Zhang | Southeast University | Alzheimer's disease, osteoporosis, orthopedics |
Yuanbo Xie | University of Science and Technology of China | classification |
Yuanchen Wu | Shanghai Maritime University | machine learning; Assisted diagnosis |
yuanhang xu | BeijingNormalUniversity | sliding window correlation , fMRI |
Yuanhao Wang | Shanghai Jiao Tong University School of Medicine | Mendelian Randomization |
Yuanjia Wang | Columbia University | Classification, Support Vector Machine |
Yuanjiang Cheng | Shanghai University of Finance and Economics | MRI, Alzheimer's disease |
Yuanjin Ren | New York Institute of Technology | Data science, machine learning, prediction model |
Yuanjun Wang | University of Shanghai for Science and technology | diffusion MR, voxel based analysis, brain network |
Yuankai Zhu | Tongji Hospital, Tongji Medical College, HUST | AD; PET; genotypes; amyloid protein; Tau protein |
Yuankang Zhao | Wuhan University of Science and Technology | deep learning |
YuanKun Liu | City University of Macau | DeepLearning, AD, MCI |
Yuanming Tian | Mudanjiang Normal University | Medical data study |
yuanpeng li | Guangxi Normal University | early diagnosis;Alzheimer's disease;deep learning |
Yuanpeng Zhang | Nantong University | multi-kernel learning, SVM, multimodal neuroimaging |
yuanqi chang | HDU | Medical image processing |
Yuanqi Zhao | Carnegie Mellon University | Alzheimer; deep learning |
yuanquan si | Shandong Provincial Hospital | AD |
Yuanwang Zhang | ShanghaiTech | AD diagnosis, multi-modality |
Yuanxin Yao | Florida State University | DCM, RNN, fMRI |
yuanxing zhao | Institute of Automation, Chinses Academy of Sciences | brain segementation semi-supervised learning |
Yuanyao Tan | Florida State University | Shape Analysis, Clustering Analysis |
yuanyi ma | University of Manchester | deep learning, Classification |
Yuanyuan Chen | Northwestern Polytechnical University | Alzheimer’s disease; Mild cognitive impairment;Deep learning |
Yuanyuan Guo | Duke University | Dynamic prediction; Omics data |
yuanyuan li | Qingdao University | Modeling, Neuroimaging |
YUANYUAN Long | Jiangsu Provincial Hospital of Traditional Chinese | AD |
Yuanyuan Lu | Xuanwu Hospital, Capital Medical University | Alzheimer’s disease, biomarkers, mass spectrometry, metabolism |
Yuanyuan Qin | Tongji hospital, Tongji Medical College, HUST | Feature Extraction; Statistical Learning Theory; Shape Anal |
yuanyuan wang | 北京航空航天大学 | deep learning, Alzheimer disease, biomarker |
Yuanyuan Wei | The University of British Columbia | Alzheimer’s disease; magnetic resonance imaging; computer-aided diagnosis |
yuanyuan xu | Huazhong Agricultural University | ADNI Data Use Application |
Yubei Lin | South China University of Technology | SCUT, diagnosis, AD |
Yubin Han | POSTECH | wgs, classification |
Yubraj Gupta | Chosun university | CNN, Alzheimer disease |
Yuchao Chen | WellSIM Biomedical Technologies Inc | extracellular vesicles |
Yuchao Wu | Beijing University of Technology | semantic segmentation |
yuchao yuchao | XinJiang University | few-shot learning ,mri |
yuchen lin | National Central University | machine learning |
Yuchen Wu | Tsinghua University | machien-learning , early impliactions of the disease |
Yuchen Zhang | Donghua | bilibili123 |
YuCheng Chen | 國立金門大學 | NQUAI |
yucheng wei | beijing university of technology | classification;deep learning |
yucheng wei | beijing university of technology | classification;deep learning |
Yucheng Zhu | University of Electronical science and techelonogy of China | normative model, AD |
Yuchi Hu | Memorial Sloan Kettering Cancer Center | recurrent neural network, longitudinal image analysis |
Yuchuan Liu | Chongqing University | data mining and analysis |
Yuchuan Qiao | LONI | image registration |
YUCHUAN QIAO | LONI | DTI, PET, longitudinal |
yuchuan qiao | ISTBI | tau PET, DTI, fiber tracking |
Yuchuan Zhuang | AbbVie | AD, MCI, MRI, PET, Amyloid, Brain Imaging |
YuChun Lin | Sun Yat-sen University | construction of the risk model of Alzheimer's disease |
Yuchun Tang | LONI | brain, cerebral cortex, subcortical, behavior, DTI, PET |
Yudong Cai | College of Animal Science and Technology | Type II diabetes, hippocampal |
yudong liu | Xi'an Polytechnic Univercity | medical image registration |
Yudong Zhang | University of Leicester | deep learning |
Yudthaphon Vichianin | Mahidol University | SVM |
Yue Dong | UCSF | Neuromodulation |
Yue Hong | The Martinos Center | neuropsychology, machine learning |
Yue Kong | NeuroSpin CEA | VBM, CAT12 |
YUE LIU | 北京邮电大学 | deep learning |
Yue Liu | Shandong Provincial Hospital Affiliated to Shandong First Medical University | cholesterol; mild cognitive impairment; Alzheimer’s disease |
Yue Qiao | 中北大学 | study |
Yue Qiu | City University of New York | Metabolism, Alzheimer's disease, machine learning |
Yue Tu | Northeastern University | Alzheimer's disease; MRI; computer aided diagnosis |
Yue Tu | Northeastern University | Computer Aided Diagnosis; medical image analysis; |
Yue Wang | University of North Carolina | Machine Learning, Interpretability, Human feedback |
Yue WEI | The Hong Kong University of Science and Technology | connectivity analysis, statistical machine learning, neural network |
yue wu | 西安电子科技大学 | 科研试验 |
Yue Wu | UCLA | MRI, genetic correlation, trans-ethnic analysis |
Yue Wu | Changzhou institutite of technology | Mutilmodel data |
yue zhang | 北京理工大学 | AD regression analysis |
yue zhang | shanghaitech | AD |
Yue Zhang | Endocrinology laboratory | endocrine disease, cognitive function |
yue zhou | sensetime | deep learning |
yue zhou | sensetime | deep learning |
yuee xu | Yunnan University | Alzheimer's disease,Probabilistic prediction |
Yueen Ma | Columbia University | Deep Learning |
Yuehua Xu | UESTC | AD MRI |
Yuejiao Ji | Fujian Normal University | Alzheimer’s disease;artificial intelligence;risk level |
yuejie tan | Hefei University of Technology | disease diagnostic models |
Yueli Zhu | The First Affiliated Hospital, School of Medicine, Zhejiang University | Alzheimer's disease |
Yuelin Tian | 河南大学 | MRT PET AD |
Yuemei Li | Yantai university | learning study |
Yuen Tsz Abby Lau | University of Pennsylvania | Longitudinal data; MMSE |
Yuen Yan Wong | University of Toronto | GWAS, alzheimer's disease, GWIS, genotype, imaging, cerebrovascular disease |
Yuening He | Georgia State University | Apathy |
Yueqi Ren | University of California, Irvine | deep learning, Grad-CAM, brain age, early detection |
Yueqi Zhang | Shanghai sixth hospital | alzheimer,functional connection patterns |
Yueqian Sun | Beijing Tiantan Hospital, Capital Medicine University | Alzheimer's disease |
YueSai Long | 西北工业大学 | sjfndtm1996 |
Yuetiva Robles (Deming) | University of Wisconsin | CSF biomarkers, imaging biomarkers, ATN, genomics, polygenic scores |
Yuexia Zhang | The University of Texas at San Antonio | causal inference, mediation analysis, risk factors, imaging analysis |
Yuexuan Wang | National University of Singapore | Course Research Project |
Yuexuan Wu | Florida State University | longitudinal-spatial, sparse, elastic shape analysis |
Yuexuan Xia | Northwestern Polytechnical University | Federated Learning |
Yueyang Zhao | Institute of Neuroscience | MCI, neuroimaging, MRI, PET |
yueyuan ao | UESTC | image registration, deep learning |
yuf jane | the first affiliated hospital of dalian medical university,China | metabolism,atrophy |
Yufa Xia | Chinese Academy of Sciences | testing registration method |
yufan yaoooooooo | Guangxi University | CNN GAN |
Yufan Zheng | Cleveland Clinic Lerner Research Institute | spinal cord atrophy |
Yufei ZHANG | THE Chinese University of Hong Kong | tadpole competition |
Yufei Zhao | University of California, Riverside | fMRI; functional connectivity |
Yufeng Chen | Beijing University of Chinese Medicine | Alzheimer's disease |
yufeng kong | University of Electronic Science and Technology of China | memory, brain network |
Yug Patel | Arizona State University | SVM, DT |
Yuh Huei Song | National University of Singapore | PET, |
Yuhai Zhao | Northeastern University | GWAS |
Yuhan Cui | University of Pennsylvania | AI; AD; neuroimaging; genetics; cognition; machine learning |
yuhan jiang | Chongqing University of Posts and Telecommunications | MRI |
Yuhan Su | Xiamen University | MRI, Classification, Deep Learning |
YuHan Yao | ChongQing University | Brain mri Image recognition, Convolution Neural Network |
Yuhan Zhao | Capital medical school | air pollution |
yuhang Ding | baidu | download and study |
Yuhang Xu | University of Electronic Science and Technology of China | Alzheimer's disease、biomarker、genetic |
Yuhei Chiba | Yokohama City University | Immunoogy autoantibody MRI |
Yuheng Zeng | Chengdu Sport University | Parkinson, Mild cognitive impairment, Neuroimaging |
Yuheng Zhao | Ryerson University | Machine learning |
Yuhi otani | Fujitsu Limited | Deep learning |
YUHUA CHEN | National University of Singapore | Mutimodal fusion |
Yuhua Wei | Xi'an JiaoTong University (China) | Deep Learning, Domain Adaptation, Identification of Brain Dementia |
Yuhuan Wu | Wuhan University of Technology | 6713Liuqi |
Yuhui Du | The Mind Research Network; Shanxi University | Biomarkers, Classification, Clustering |
YuHyun Choi | LIKELION | Building a Dementia Prediction Deep Learning Model |
yuichiro yada | Kyoto University | Polygenic risk score |
Yuichiro Yada | Hiroshima Universitty | statistical modeling |
yujeong han | konyang university | deep running |
Yujeong Kim | Yonsei University | dd |
Yuji Miura | Eisai co.,Ltd. | dementia |
Yuji Zhao | Illinois Institute of Technology | Alzheimer disease progression analysis |
yujia sun | Clemson University | statistics project |
Yujia Wei | Mayo Clinic | segmentation, diffirent zone |
yujia Wei | Hebei University of Technology | EEG analysis |
Yujian Liu | Central South University of forestry science and technology | Alzheimer's disease neural network model deep learning |
Yujian Zhu | Yunnan University | Functional data analysis, Statistics diagnostic. |
Yujiang Wang | Newcastle University | Aging, cortical folding, gyrification, Alzheimer's disease |
yujiao zhang | SEU | MRI;DL;AD |
Yujie Cao | Xi’an Jiaotong University | brain image related research |
Yujie Chen | Wuhan University of Science and Technology | Alzheimer's disease, Early diagnosis, Conversion prediction |
Yujie Hu | Shanghai Jiaotong University | multimodal imaging |
Yujie Sun | Central University of Finance and Economic | research |
Yujie Wang | The Hong Kong university of Science and Technology | CAD, training set |
YUJIE WENG | Inner Mongolia Medical University | machine learning |
Yujin Tang | Shanghai Jiao Tong University | Deeplearning/ multi-modality /Image Fusion |
Yujin Yang | Yonsei university | generation |
Yujiro Kuroda | National Center for Geriatrics and Gerontology | BPSD |
Yujuan Feng | Beijing University of Technology | early diagnosis of Alzheimer's disease, multimodal fusion, incomplete data |
Yujue Li | Sun Yat-sen University | high-dimensional data metric space |
yujun liu | West China hospital | alzheimer; biomarker; trajectory |
Yujun Wang | Anhui university | Alzheimer’s image data set ( About 1,000 images) |
Yujun Zhou | University of Notre Dame | deep learning, multimodal, explanation |
Yuk Yee Leung | UPENN | biomarker study |
Yuki Sasaki | Oita University | PIB-PET |
Yuki Shinomiya | Kochi University of Technology | AI, Deep Neural Network |
Yukiko Masaki | SHIONOGI & CO., LTD. | Imaging |
Yuko ISHIMARU | Saga University Hospital | Brain Image Analysis, Segmentation, Harmonization, multi-modal |
Yukuan Huang | Vigonvita | Biomarker |
Yulai Li | XiangYa Hospital CentralSouth University | AD,PET,amyloid β-protein |
Yulan Dong | the First Affiliated Hospital of University of South China | Alzheimer's disease, cognitive impaired, depression, fMRI |
yulang huang | University of Chinese academy of sciences | AD detection |
Yuli Wang | Johns Hopkins University | NPH, ventricle segmentation, evans ratio |
Yulia Belousova | BMSTU | MRI, Alzheimer, hippocampus |
Yuliang Zhu | University of Nottingham, Ningbo, China | Research Paper |
yulin dai | University of Texas health science center at Houston | GWAS, CSF tau concentration, AD |
yulin wang | Hainan University | MR image super-resolution |
Yulin Wei | the Chinese University of Hong Kong | early detection, hippocampal |
yuling wang | xuzhou medical university | PET |
Yuliya Nikolova | Centre for Addiction and Mental Health | Alzheimer's disease; Depression; Mild cognitive impairment; neuroimaging; PRS |
yulong chen | zhengzhou university | MRI hippo subfeild segmentation |
Yulong LIU | Changchun University of Science and Technology | Alzheimer's disease, Multi-Voxel Pattern Analysis, Working Memory |
Yuma Iwao | NIRS | Segmentation Deep learning |
yume Ho | aliyun | research |
yumeng luo | yunnan normal university | MRI,AD,deep learning,predict,classification |
yumeng song | NEU | 540280sym |
Yumeng Tang | Tianjin University | osteoarthritis,deep learning,microCT |
Yumiao Lu | Huaqiao University | Medical Image Anaylysis |
Yumiko Wiranto | Teachers College ColumbiaUniversity | Alzheimer's |
Yuming Xu | The First Affiliated Hospital of Zhengzhou University | NOTCH2NLC; AD; |
Yumou Qiu | Iowa State University | correlation, brain connectivity, covariates adjusting |
Yun Freudenberg-Hua | Feinstein Institutes for Medical Research | dementia genetics Alzheimer association variants |
YUN GUO | Qingdao Municipal Hospital | ADNI |
Yun Heung Kim | Kyungpook National University BMRLab | Anomaly detection, deep learning |
Yun Hsiang Wu | NTHU | AD, MCI, TBSS, Deep learning |
YUN SEOK KANG | The Ohio State University | Post mortem human surrogate |
yun shi | Central South University | fMRI DeepStudy、Reduce Paper |
Yun Wang | Duke University | Deep Learning; Segmentation |
Yun Zhu | Fudan University | brain extraction |
yun zhu | Guizhou Medical University | AD,ADNI, |
Yun-Chi Lin | University of Alabama, Birmingham | early diagnosis, longitudinal monitoring, imaging feature extraction |
YUN-WEN LIN | Soochow University | ApoE, Alzheimer's Disease |
Yun-Yang Huang | NTHU | Alzheimer's prediction using ADNI |
yunan Guo | Sun Yat-sen University | brain network;AD; |
Yunbi Liu | University of North Carolina at Chapel Hill | Multi-modality Learning, Conversion Prediction,deep learning |
Yunfei Li | The Fifth People's Hospital of Shanghai Fudan University | liyunfei2015 |
Yunfei You | Peking University | deep learning, classification, intelligent diagnosis |
yunghan lin | Chung Yuan Christian University | To conduct research on AD for graduation topics |
Yunguan Fu | University College London | deep learning, registration |
Yunguo Gong | Eisai | Biomarker |
yunhan ma | China Pharmaceutical University | Alzheimer 's disease;P-glycoprotein |
Yunhan Yang | The University of Auckland | brain connectivity |
Yunhan Yang | The University of Auckland | brain connectivity |
yunhao zhang | central south university | Imaging genetics Ensemble learning Parkinson’s disease Abnormal brain region |
Yunhe Gao | Rutgers University | Segmentation CNN |
YUNHONG GONG | University of Macau | Alzheimer’s Disease |
Yuni Silalahi | University of Sumatera Utara | alzheimer's disease, classification, MRI, image processing, machine learning |
Yuni Yuni | University of Delaware | AD |
Yunjia Cao | Capital Medical University | endophenotype, deep learning, prediction model |
yunjie chen | Nanjing university of information science and technology | brain mr images |
Yunjie Tong | Purdue University | White matter hyperintensity, T2, DTI, fMRI |
Yunjin Na | Seoul National University | ML algorithm, prediction |
YUNKAI XUE | University of Manchester | Brain ageing predication |
yunlong song | shanghailigongdaxue | 医学图像分割 |
Yunlong Zhu | South China Univ of Technology | Machine Learning Alzheimer’s Disease |
Yunpeng Zhao | Beihang University | deep learning |
yunqi zhang | yunnan university | missing data, variable selection |
Yunro Chung | Arizona State University | Biostatistics; biomarker |
Yunro Chung | Arizona State University | 404 |
Yunrui Zhao | University of Chinese Academy of Sciences | PU Learning; Semi-supervised Learning |
Yunseop Shim | Sogang University | Medical, Diffusion |
Yuntae Kim | Chosun University | I don't know what to write here |
Yunus Emre Celik | University of Paris | final project |
Yunus Kardaş | Boğaziçi University | clustering, alzheimer, machine learning |
Yunus Msayib | GE Healthcare Life Sciences | PET biomarkers, structural biomarkers, normative values, conversion risk ratio |
Yunus SAHIN | Sakarya Üniversitesi | Biomedical signal processing |
Yunus Soleymani | Tehran University of Medical Sciences | aging, alzheimer |
Yunxiang Ge | Tsinghua University | Classification; directed functional connectivity |
Yunxiang Guo | Huazhong University of Science and Technology | diagnosis;deep learning;integration of non-imaging biomarkers and images |
Yunxiang Li | Hangzhou Dianzi University | skull stripping |
yunxiao ma | Beijing Institute of Technology | none |
Yunxin Gan | University of Exeter | data science project |
yunxin wang | Yanshan University | 3D-CNN, transformer |
Yunxing Ma | University of Warwick | Alzheimer and Deep Learning |
Yunyi Li | Indiana University | deep learning, time-series |
Yunyou Huang | Institute of Computing Technology, Chinese Academy of Sciences | classify, predict, Alzheimer's disease |
Yunyun Zhou | Children's Hospital of Philadelphia | biomarker |
Yunze Liu | PKU | AI |
YUNZHI HUANG | Sichuan University | registration |
yunzhi xu | Zhejiang University | Medical Image fusion |
Yuping Zhang | University of Connecticut | imaging genetics |
Yuqi FANG | University of North Carolina at Chapel Hill | fMRI, domain adaptation, deep learning methods |
YUQI GONG | The Chinese University of Hong Kong | MRI, Alzheimer's disease, MCI, CNN |
Yuqi Qiu | East China Normal University | Mild cognitive impairment, Cognitive heterogeneity, Plasma biomarker |
Yuqi Tang | QingDao University | neurodegenerative diseases |
Yuqi Zhi | The Second Affiliated Hospital of Soochow University | the support of the database |
yuqin yan | Guangdong Provincial People's Hospital | Alzheimer’s disease |
yuqin yan | Guangdong Provincial People's Hospital | Alzheimer’s disease |
yuqing ai | university of electronic science and technology of china | Download and analyze the data to complete the graduation thesis |
Yuqing Lei | University of Pennsylvania | AD/ADRC, PRS, MCI, drug-repositioning signals |
yuqing sun | Huazhong University of Science and Technology | Medical image synthesis |
Yuqing Zhao | 西安邮电大学 | 阿尔兹海默症 |
Yuqiu Zheng | Sun Yat-sen University | Alzheimer's Disease |
Yura Suzuki | Shionogi & Co., Ltd. | patient characteristics |
Yuri Plotkin | Genentech | neural networks, multi-modal, trajectories, cognitive, memory, genotype |
Yuriko Katsumata | University of Kentucky | Polygenic risk score, CSF biomarkers, genetic profile |
Yuriko Nakaoku | National Cerebral and Cardiovascular Center | multimodal brain MRI images |
yuru he | Sounth Medical University | PET-MR |
Yurui Gao | Vanderbilt University | functional connectivity |
Yusaku Hioki | Shimadzu Scientific Instruments | blood test for AD |
yusera khan | Sri Mata Vaishno devi university | neurodegeneration, neuro-imaging, deep learning |
Yushan Zhou | 上海交通大学医学院附属瑞金医院 | AD |
Yusheng Li | UIHA | DL, GAN |
Yushi Liu | Eli Lilly and Company | clinical trial, AD |
Yushu Shi | University of Missouri Columbia | statistical method, false discovery control, feature selection |
Yusong Zhou | South central university for nationality | Medical image segmentation |
Yusuf Mohideen | The University of Hong Kong | VBM |
Yusuke Okada | National Center for Geriatrics and Gerontology, Japan | Nemuasakura1 |
Yusun Hwang | Student | image segmentation, image detection |
Yuta Kobayashi | Johns Hopkins University | Causal discovery |
Yutaro Iwamoto | Ritsumeikan University | segmentation, image restoration, unsupervised learning |
Yuti Zhang | NUS | research |
Yutian Liu | usc translation biomedical informatics | bioinformatics |
Yutian Zeng | South University of Science and Technology | Alzheimer’s Disease Evolution, Machine Learning |
Yuting Li | Guangzhou First People's Hospital | Alzheimer's disease; pathogenesis; comprehensive analysis |
Yuting Li | Shanghai University of Sports | fMRI |
yuting lin | Lanzhou University | brain network data fmri mri |
Yuting Lu | New York University School of Medicine | Predictive model; Calssification; Interaction |
Yuting Mo | The Affiliated Hospital of Nanjing University Medical School | fMRI; brain structure |
Yuting Xie | University of Bologna | automatic detection; early diagnosis, Alzheimer's disease |
Yuting Yan | Zhejiang Provincial People’s Hospital | Brain aging; Radiomics; Pathology |
yuting yang | Xiamen University | trajectoy , cognition |
Yuting Ye | UC Berkeley | FMRI, SNP |
Yuting Zhang | Sun Yat-Sen University | shape anlayse |
Yuto Onga | Hosei University | CBIR, Machine Learning, Deep Learning, |
Yuto Uchida | Nagoya City University | MRI dementia cognition |
Yuto Uchida | Johns Hopkins University | diffusion MRI, white matter, diffusion tensor imaging |
Yutong Gao | Georgia State University | rs-fMRI, deep learning |
YuTong Li | ShenZhen University | machine learning |
Yutong Ren | Chongqing University of Posts and Telecommunications | dissertation |
Yutong Xie | University of Adelaide | computer aided diagnosis |
Yuuto Jurgen | university of glasgow | research |
Yuval Hart | The Hebrew University of Jerusalem | Functional connectivity, rest-state fMRI |
Yuvraj Sinha Chowdhury | Kalinga Institute Of Industrial Technology | Machine Learning |
Yuwei Dai | The Second Xiangya hospital Central South University | artificial intelligence |
yuwei xie | Shijiazhuang Tiedao University | research |
Yuwei Xie | Guangxi Medicial University | qwe123 |
Yuxi Cai | The University of Hong Kong | regression analysis, MRI, Alzheimer’s disease |
Yuxi Luo | New York University | segmentation, machine learning |
Yuxi Tian | Denali Therapeutics | clinical progression, biomarkers |
Yuxia Sheng | Wuhan University of Science and Technology | PET MRI |
Yuxiang Wu | Univeristy of Missouri | Group variable selection. interval censor, ANDI, MCI. AD |
Yuxiang Yang | Hong Kong University | master project, data analysis |
Yuxiang Zhang | Jilin University | CNN, ASL |
Yuxiao Li | West China Hospital of Sichuan University | brain age; explanational machine learning;mild cognitive impairment |
Yuxin Li | Fudan University | image translation |
Yuxin Ren | University of Pittsburgh | longitudinal data, alzhimer's disease, prediction |
Yuxin Shi | Nanyang Technological University | deep learning, GAN, medical image, data augmentation |
Yuxin Shi | HUBEI POLYTECHNIC UNIVERSITY | not |
Yuxin Wen | Chapman University | health monitoring, prognosis, feature extraction |
yuxin xia | Henan University of Science and Technology | Classification |
Yuxin Yang | Binghamton University | Alzheimer’s Disease, classification, machine learning |
yuxin Zhu | University of Electronic Science and Technology of China | data fusion;Multi-modility clinica data;Peritoneal metastasis diagnosis; |
Yuxin Zhu | Johns Hopkins University | biomarker progression cascade, jack model |
Yuxing Fang | McMaster University | Alzheimer, ANN, 3D |
Yuxing Li | Beijing Institute of Technology | tissue microstructure estimation |
Yuxuan Ou | Beijing University of Posts and Telecommunications | medical image computing |
Yuxuan Sun | The Seventh Affiliated Hospital of Sun Yat-sen University | alzheimer's disease, gene-by-environment, prediction |
Yuxuan Yang | NYU | Multimodal learning, Data Fusion, Medical data learnign |
Yuxuan Zhang | Zhejiang University | Atrial fibrillation; Alzheimer' s disease; anticoagulant therapy |
Yuxuan Zhang | CUHK | classification |
yuxuan zheng | shenzhen university | scientific research |
Yuya Nakamura | GRADUATE SCHOOL NIIGATA UNIVERSITY OF HEALTH AND WELFARE | Alzheimer's disease |
Yuya Saito | Juntendo university | brain structural character, microstructure, disease progression |
Yuyang HE | The Chinese University of Hong Kong | survival analysis, Bayesian method |
Yuyang Liu | Shenyang Institute of Automation (SIA) Chinese Academy of Science (CAS) | lifelong learning, correlation |
Yuyang Liu | University of Sheffield | Machine learning, MRI, Alzheimer's Disease |
yuye Wang | China Japan Friendship Hospital | 88912wswyy |
yuying huang | university of south China | research |
yuying zhao | Qufu Normal University | Biological Information ,Tensor Data |
yuyu shen shen | university of jiangsu | AD/ RBD |
Yuyuan Yu | Guangdong University of Technology | Disease prediction, multimodal, incomplete |
Yuyue Zhang | Yunnan University | Interval deletion of data ,Survival analysis,Variable selection |
Yuzhang Yang | National University of Singapore | Alzhehaimer's Diagnosis |
Yuzhang Yang | National University of Singapore | Image Processing |
Yuzhao Zhang | Renmin University | multi-task learning, clustering, high dimension |
Yuzhong Chen | UESTC | CNN AD |
Yuzhou Wang | Sixth Affiliated Hostpital of Sun Yat Sen University of China | MRI VBM |
Yuzhou Wu | Central South University | Alzheimer’s detection |
Yuzhu Cao | University of Science and Technology of China | Image Registration |
Yuzhu Wu | Zhejiang University | a freshman apply for leaning |
YUZI LIU | University of Alberta | Functional data analysis |
YUZI YAN | Beijing Technology and Business University | brain image |
Yves Pauli | ETZ Zürich | DTI, Machine Learning, Outlier Detection, Mahalanobis Distance |
Yvo Keller | FHNW | Machine Learning, Visual Analytics |
Yvonne Hunte | Hoag Memorial Hospital Presbyterian | dementia, black community |
YYUAN CHENG | JILIN UNIVERCITY | DATASET |
YZ L | DHU | federated learning |
Z L | RUC | Kernel |
Z WY | Huashan Hospital | white matter hyperintensities, topography, cognition |
z zx | yanshan university | adni mci |
z zz | FuZhou University | computer vision |
Zac Yeap | McGill | navigation, spatial, stimulus-response, memory |
Zach Jessen | Northwestern University | sMRI, machine learning |
Zach Malchano | Cognito Therapeutics, Inc. | amyloid imaging, region specific, biomarker enrichment, imaging agents |
Zachary Chappell | Institute of Psychiatry, Psychology & Neuroscience, King's College London | Diffusion MRI, multicompartment models, MCI, AD |
Zachary Garcia | University of Central Florida | Deep learning |
Zachary Goodman | University of Miami | Machine Learning; Resting-State fMRI; Classification; Neuropsychology |
Zachary Kunicki | Brown University | Biomarkers, Neuropathology |
Zachary Miller | UCSF Memory and Aging Center | Occupation history, education, hand preference, demographics, risk factors |
Zachery Morrissey | University of Illinois at Chicago | Structural/functional connectomics, functional gradients, white matter |
Zack Hause | NCIRE | Alzheimer's, biomarkers |
Zadriana Smith | Dartmouth College | Predictive modeling, convolutional neural network |
Zafer Keser | Johns Hopkins University School of Medicine | healthy, aging, cognition, language |
Zafer Yusuf Vardar | Yildiz Technical University | Segmentation, classification, yolov7, stage detection |
ZAHINA FATHIMA A | MADRAS CHRISTIAN COLLEGE | GRAPH ENERGY, SPECTRAL GRAPH THOERY,ALZHEIMER'S DISEASE |
Zahra Aghaziarati | K.N.Toosi University of Technology, | Alzheimer's disease |
Zahra Alkabbaz | University of Leeds | Alzheimer explainable classifier |
Zahra Assari | Hamadan University of Medical Sciences (UMSHA) | Alzheimer's Disease, Mild Cognitive Impairment, Brain Connectivity Network, Comp |
zahra ghorbanzadeh | Bojnord university | signal processing and classification |
zahra ghorbanzadeh | Bojnord university | Classification, Alzheimer, Image Processing, brain, disease, neural network. |
zahra hosseini | Hamedan University of Technology | Alzheimer disease; mild cognitive impairment; magnetic resonance imaging; deep l |
Zahra Jalali farahani | Islamic Azad university | Alzheimer - Dementia - Deep Learning |
Zahra Jalalvand | Central Tehran Branch Islamic Azad University | MRI, Alzheimer's disease, dti, fsl, Explorer dti |
Zahra Kousehlou | Modares University | Survival model, Deep learning Model, MRI data |
Zahra Majdi | Islamic azad university tehran medical unit | AD-RBC-lipid |
zahra mohaghegh | - | neural network in medicine |
zahra momeni | tarbiat modares university | Explainable Deep Learning, MRI |
Zahra Moussavi | University of Manitoba | MRI, Alzheimer's disease, cognitive score, correlation analysis, |
Zahra Narimani | Institute of Advanced Studies in Basic Sciences | disease progression, biomarker discovery |
Zahra Qodrati | shiraz university of technology | ALmA4652dr@#1 |
Zahra Sadat Seye | Shahid Beheshti University of Medical Sciences (SBMU) | Alzheimer Neuroimaging Biomarker Longitudinal |
Zahra Sadeghi | Tehran university of medical sciences | MT |
Zahra Sakvand | University | Dghjkkmmnvx |
zahra shad | tehran university of medical science | data-information |
Zahra Shirzadi | MGH | cerebral amyloid angiopathy, white matter lesions, blood flow, hypertension |
Zahra Taghizadeh Marvast | Islamic Azad University | U-network, CNN, SVM, ensemble, AD, MCI, Segmentation, Classification |
Zahra Yaghoobi | Tehran university of medical sciences | alzheimer, sleep patterns |
Zahra Zolghadr | shahid beheshti medical university | connectivity,classification,HDLSS |
Zahraa Abdallah | University of Bristol | Machine learning, time series, multi-modalities |
zahraa alkamil | University of Qum | deep learning |
Zahraa Shihab | University of Kerbala | HMRF-PSO image segmentation |
Zahrasadat sajjadi | Iran university of science and technology | artificial intelligence, MRI, biological age of the brain |
zaibo Zhao | Kunming University of Science and Technology | Alzheimer |
Zaid Bin Mahbub | North South University | Quantitative MRI, Diffusion MRI, MT, T2 |
Zain Halloush | Jordan University of Science and Technology | Deep Learning, self-supervised learning |
Zain Ul Haq | University of Rostock | Alzheimer Disease |
Zain Ul Haq | University of Rostock | Alzheimer Disease |
zainab aizaz | Maulana Azad National institute of technology | CNN, ANN |
zainab harbi | kufa university | dementia , early detection |
Zainab Khurshid | Boston University | Telomere, ADNI sample names |
Zainab Loukil | University of Gloucestershire | Brain disease, prediction, MRI, Deep Learning, features extraction |
Zaixin Ou | huazhong university of science and technology | diagnosis,AD,MCI,deep learning, machine lwarning |
Zaixing Shi | School of Public Health, Xiamen University | dementia; prediction model; metabolic syndrome |
zakaria mokadem | algeria | Alzheimer,deep learning,MR,neuroimaging |
ZAKARIA SAID | universite mohamed ben abdellah | deep learning , classification , alzheimer |
Zakaria Shams Siam | Universiti Kebangsaan Malaysia | CT, MRI, CycleGAN |
Zaki Fadlan | UIN Sunan Gunung Djati Bandung | Classification Alzheimer |
Zaniar Ardalan | University of Arizona | Mild Cognitive Impairment, Convolutional Neural Network |
ZAREEN AMTUL | Independent Rsearcher | Alzheimer's disease, diagnosis |
Zarina Biktagirova | National Research Nuclear University MEPhI | Machine Learning-Based Classification of Dementia Types |
Zarina Kraal | Columbia University | biomarker, ADRD, neuropathology |
Zarrin Tasnim | Daffodil International University | CNN, DNN, Image processing |
zayene mohamed | faculty of sciences of monastir | alzheimer disease |
zayene mohamed amine | faculty of sciences of monastir | alzheimer desease |
Zaylea Kua | Changi General Hospital | Neuroimaging, neuroscience, dementia |
ZCK ZCK | Lanzou Science and Technology University | 阿尔兹海默症,对照组 |
Ze Chang | huazhong university of science and technology | diagnosis |
Ze Wang | University of Maryland | rsfMRI, ASL |
ze wang | East China University of Science and Technology | AD |
Ze Xiong Lu | The third people's Hospital of Hainan Province | cognitive impairment |
Ze Yan | Changchun University of Technology | deep learning |
Ze Yang | Hangzhou Dianzi University | Imaging genomics; Alzheimer's disease |
Ze Yu | The University of Sheffield | Multi-Task Learning, AD progression predicting |
Zebin Chen | Sun Yat-sen University | regression, classification, joint learning, model, visual, interpretable |
Zebin Zhang | ShanghaiTech | AD; DDPM |
Zebo Zhao | Capital University of Economics and Business | 1qazwsx2345ppoo@ |
Zecheng Liu | South China University of Technology | AD diagnosis |
Zeda Li | Nanjing University of Aeronautics and Astronautics | Radiation ; AD ; EEG |
Zeena Shawa | University College London | Alzheimer's Imaging Data Harmonization |
Zeeshan Abbas | Jeonbuk National University | deep neural network, Alzheimer, omics |
Zefeng Liu | Tianjin Medical University General | Radiomics |
Zehao Song | FSU | TADPOLE |
Zehao Song | Florida State University - Tallahassee, FL | TADPOLE |
Zehao Xiao | University of Amsterdam | early diagnosis of Alzheimer's disease |
Zehra Naqvi | Muffakham Jah college of engineering and technology | Artficial intelligence |
Zehra Önen | Koç University | Alzheimer's disease, Screening policy, Markov Decision Process |
Zehu Sheng | Qingdao University | szh980507 |
Zehua Zhu | University of Science and Technology of China | figure |
Zeina Odeh | Birzeit University | Alzheimer Disease, Deep Learning |
Zeinab bahrami | Islamic Azad University of Roudehen | Metabolic profile, Liquid chromatography, glucose hypometabolism, AD |
Zeinab Davarani | Isfahan University of Technology | fMRI images, Alzheimer disease |
Zeinab Elsharkawy | Atomic Energy Authority | Deep learning; image analysis; classification |
zeinab sinaeifar | tehran university of medical science | immunlogy and alzheimer |
zeng gang | University of huzhou | 笔迹 神经退行性疾病 |
Zeng Hoshea | RUC | EMCI |
Zeng Jiayi | Shantou University | Alzheimer's disease,medications |
zeng junfeng | shanxi medical university of china | cognition, AD, cerebellum, Imaging transcriptome |
zeng junfeng | shanxi medical university | cerebellum,Alzheimer's disease |
zeng pengming | shanghaitech | biomarkers; machine learning |
ZENG WENTING | 汕头大学 | ad predict |
Zeng Xuanda | Sichuan University | COVID-19 |
Zeng Yan | Northeast Normal University | write a paper with Alzheimer's data |
Zengou Ma | UCL | Alzheimer |
Zengyan Fan | Singapore University of Social Sciences | network analysis, statistical inference |
Zening Fu | Georgia State University | Multi-diseases biomarkers, data-fusion, dynamic brain connectivity |
Zephyr Tay | NUS | RNN, Predict AD |
Zeqiang Linli | Hunan Normal University | Brainnetome |
Zeqiang Linli | Guangdong University of Foreign Studies | BRAIN AGE, sMRI, Deep Learning |
ZERAII Abderrazek | LRBTM-Tunis ElManar University | connectivity; functional MRI; Alzheimer’s disease; biomarkers |
Zerin Jahan | The University Of Salford | Image data, Data science, Dementia, Alzheimer |
Zeruo Yang | Natural Medicine Institute of Zhejiang YangShengTang Co., Ltd. | Genomic contribution to AD in Asian population |
zexin guo | Qingdao Municipal Hospital | cognition |
Zexin Ren | George Washinton University | Deep Learning, Model Interpretation |
zexu zhang | neu | colorization |
Zeyad Mohamed | Queen's University, School of computing | Alzheimer’s disease, Convolutional Auto Encoder, Convolutional Neural Network. |
Zeyang Zhang | Huazhong University of Science and Technology | test the performance |
zeying wang | South-Central University For Nationalities | data processing |
Zeynab Rezaee | University at Buffalo | Cerebellum, NIBS |
zeynep demir | University of California San Francisco | ADNI |
Zeynep Tuğçe KARAMUSTAFA | Fatih Sultan Mehmet Vakif University | neuroimaging, hippocampal, fmri, data, autism, brain data images |
Zeyu Chang | University College Dublin | multi-modal PET MRI |
Zeyu Huang | University of Southern California | 3D MRI |
Zeyu Wang | tju | code |
Zeyu Wang | Tianjin University | experiment |
zeyu yang | Hunan Normal University | multi-modal, fusion, meta-manlysis, GWAS, functional connectivity |
zeyu yang | Chongqing University of Posts and Telecommunications | deep learning |
Zeyu Zhang | The Australian National University | Longitudinal Analaysis |
Zeyuan Chen | Shandong Normal University | Registration |
zg x | anhui University | medical image |
zh guo | Bio-totem | deep learning |
zh Li | njupt | semi-supervised |
ZHAN MIN min | capital medical university | alzheimer's disease |
Zhan Shi | Chongqing University of Posts and Telecommunications | disease prediction,research direction,Alzheime |
Zhan Shuai | Anhui Medical University | MRI/Alzheimer’s Disease/Mid Cognitive Impairment/Texture analysis/hippocampus |
zhan wy | 无 | 无 |
Zhan Yang | Central South University | multi-view clustering, latent representation, neual network |
Zhan yanmin | Renmin University of China | Latent source signal separations, posterior consistency, neuroimaging, sparse si |
zhang alex | nanjing medical university | deep learning |
Zhang Baiwen | Beijing University of Technology | AD, MCI convert |
zhang bing | ANhui University Of Chinese Medicine | research |
zhang bing | ANhui University Of Chinese Medicine | research |
zhang bl | JiLinUniversity | Prediction ,Alzheimer,Graph Neural Network |
zhang chao | Taiyuan University of Technology | Alzheimer's disease |
ZHANG CHEN | Hong Kong Baptist University | Causal Discovery Algorithms |
Zhang Chenlin | Southwest University of Finance and Economics | 010101icy |
zhang chi | china university | research |
Zhang Chi | Yanshan university | parkinson |
Zhang Chi | Yanshan university | AD |
Zhang dachuan | FUDAN UNIVERSITY | study |
Zhang Dandan | Qingdao University | Alzheimer's disease; dementia |
Zhang Daoan | Southern University of Science and Technology | GNN, CNN |
zhang fangyuan | school | deep lerning CNN |
zhang heng | University of Science and Technology of China | deep learning , PET |
Zhang Heyu | The first hospital of Sun Yat-sen University | cognitive statu,biomarkers,tau PET |
zhang hua | usst | biomedical |
Zhang Hui | Fujian Agriculture and Forestry University | multi-gene region ,Lasso penalty,functional linear model |
zhang Jerry | Shanghai University | machine learning |
zhang jian | shenzhen yiwei inc | mri |
zhang jiarui | Southern university of science and technology | MDF ball function |
zhang jin | Northwestern Polytechnical University | brain image genetics |
zhang jinming | 中南财经政法大学 | for further study |
zhang jinming | 中南财经政法大学 | for further study |
Zhang Kai | CAS | FCD IIb |
zhang kai | nankai university | segmentation, attention |
Zhang Kaiyu | Anhui University Of Science & Technology | Gene analysis |
zhang Liang | Tinghua | CNN ,disease classification recognition |
zhang liangyu | Wuhan University of Technology | Graduate of computer science;GWAS;Reproducing paper |
Zhang Lin | Huazhong Agricultural University | Feature groups analysis, machine learning |
zhang linfei | Hainan University | research/Recommendation system |
zhang meiling | Central South University for Nationalities | AD |
zhang meiling | Shanxi Medical University | Learning research |
zhang meng | Zaozhuang University | research |
zhang mengxi | tianjin university | model |
zhang minghui | southwest minzu university | fMRI & sMRI |
Zhang naifang | Northwest University | sh980516 |
Zhang Oscar | ee | zbcMVP23 |
zhang qian | 曲阜师范大学 | 医学诊断 |
Zhang Qianqian | Northeastern University | Graduation project topic,Deep Learning,Alzheimer's disease |
zhang ran | Xuzhou Medical University | deep learning |
zhang ran | Shandong University of Science and Technology | For brain function analysis |
zhang shaoshuai | 哈尔滨工程大学 | 论文 |
zhang shaoshuai | Harbin Engineering University | graduation project |
ZHANG SHIHAO | Liaoning Normal University | Alzheimer's disease classification |
zhang shihui | Xinqiao Hospital | CT |
zhang shuaijie | 杭州电子科技大学 | neural network |
zhang shuo | Shanxi Medical University | Deep Learning ; Transfer Learning ; Convolutional Neural Networks; Deep Boltzman |
zhang siyuan | university of electronic scinence and technology of China | ADNI |
Zhang TianHao | Chinese Academy of Sciences | Invesigation |
Zhang Tong | UCAS | functional data analysis and survival analysis |
Zhang Wei | Zhejiang University | machine learning; graph |
zhang wei | the second affiliated hospital of chongqing medical science university | AD MRI deep Learning |
zhang wei | the second affiliated hospital of chongqing medical science university | AD MRI deep Learning |
Zhang Xiangran | Beijing Foreign Studies University | Zxr@zju2023 |
zhang xiangzhi | Northeastern University(shenyang) | zxz20011113 |
zhang xiao | swjtu | DTI 深度学习 |
Zhang xiaoxing | Shanghai Sixth People's Hospital | Alzheimer’s |
zhang xin | wuyi university | deep learning , AD |
Zhang Xinyi | Zhejiang University | AD Obj-SCD functional alterations |
Zhang XuLiang | Tsinghua University | medical image segmentation, deep learning |
zhang yangyang | liaocheng university | AD |
zhang yi | Henan University of Science and Technology | academic research,academic papers |
zhang ying | shanghai university | fmri |
Zhang Yipeng | Chinese Academy of Sciences | Medical image segmentation,alzheimer |
ZHANG YONGLI | Jeonbuk National University | deep learning |
zhang yuchuan | NanJing University of Science and Technology | MRI |
Zhang Yutao | University of Florida | fuzzy c mean; resting state fMRI images; Alzheimer's disease |
zhang zechu | Guangzhou University | dgut11315DGUT |
zhang zeyang | hebmu | ADNI |
ZHANG ZHANG | Tohoku University | MRI, MCI, sMCI, deep learning |
Zhang Zhao | Beijing Institute of Technology | fMRI,deep learning,prediction |
Zhang Zhehao | Ningbo university | Aa123456 |
zhang zhuan | University of Guizhou | deep learning, ANDI |
zhang zhuo | Central South University | Alzheimer's disease; ADNI; Genetic Data; HCN; |
ZhangHengchao Zhang | Fujian Normal University | artificial MRI Alzheimer's disease |
Zhangsihao Yang | Arizona State University | placeholder |
Zhanguang Zuo | Institute of Biophysics, CAS | Congnative aging, Ventral temporal cortex |
Zhangxing Bian | Johns Hopkins University | aging, DTI |
ZHANGYI XU | GEORGETOWN UNIVERSITY | morphometry differences |
Zhangzhijun Zhangzhijun | Yang Zhou University | Machine Learing ,Automatic diagnosis |
Zhanhui Li | Shandong University of Science and Technology | lzh1995082911 |
Zhanhui Li | Shandong University of Science and Technology | Large datase sets are needed for my academic research - deep neural network |
Zhanpeng Zheng | University of Shanghai for Science and Technology | aphasia, apraxia, agnosia |
zhanshi zhu | united imaging | AI |
Zhanxiong Wu | Hangzhou Dianzi University | DTI, HARDI |
zhanyuan jia | zhengzhou university of light industry | plmnko010902 |
Zhao En Yan | Xi’an Shiyou University | Convolutional neural network;MRI |
zhao guanhua | Tianjin University of Traditional Chinese Medicine | machine learning,Alzheimer's disease |
ZHAO HAI REN | suchoo university | ALZHEIMERS |
zhao jingtong | qufu normal university | forecast;research;treatment |
Zhao Nan | University of ChangChun | 1234 |
Zhao Pu | Southeast University | Study |
ZHAO QI | HEBEI UNIVERSITY OF TECHNOLOGY | FMRI, |
Zhao Qing | Nanjing Drum Tower Hospital | SVM. VBM, ICA, volume |
Zhao Qingfei | Qingdao Municipal Hospital, China | Biomarker;AD;risk factor |
zhao shuzhi | Sun-Yet university | learning DL |
zhao yan | Beihang University | Prediction; Feature selection;deep learning;GAN |
Zhao Yiwei | Huazhong University of Science and Technology | m202170104 |
zhao yun | Nanjing University of Posts and Telecommunications | AD , ADNI dataset , deep learning |
Zhao Zhang | Beijing university of chemical technology | Study 3D medical images segmentation |
Zhao Zhibiao | Yanshan University | Alzheimer's Disease |
zhaohong sun | zhejiang university | deep learning; disease progression |
ZHAOHUI LIU | SHANDONG JIANZHU DAXUE | WU |
Zhaomei Geng | Sun Yat-sen University | Deep Learning; Image Classification; Survival Prediction; Multi-modal |
zhaoming chen | Beijing Institute of Technology,Zhuhai | Image recognition |
Zhaoming Kong | Lehigh University | classification task |
Zhaoqi Yan | Gladstone Institutes | ADNI, CSF, Plasma, AD |
Zhaoshan Liu | National University of Singapore | Deep learning; Medical image process |
ZHAOWEN ZHOU | Boston University | machine learning |
Zhaoyang Li | UW-Madison | Research |
Zhaoyang Liu | University of JiNan | 7758521.lzy |
Zhaoyi Shi | Beijing Normal University | heterogenenity, brain machine, learning |
ZhaoYi Zeng | South China Agricultural University | myl86269866 |
zhaoyin ma | Shandong University | Alzheimer’s disease, CSF p-tau,FDG-PET |
Zhaoyu Qiao | Carnegie Mellon University | Trajectory Prediction |
Zhaoyue Lin | University of Electronic Science and Technology of China | Alzheimer's disease, epilepsy |
Zhaoyue Shi | Carle Foundation Hospital | fMRI, neuropsychological testing, white matter, brain connectivity |
Zhe Chen | Anhui University of Technology | research, multi-view clustering, the progress of Alzheimer's disease |
Zhe Huang | NTU | brian age prediction |
Zhe Ruan | The Second Affiliated Hospital of Air Force Medical University | dementia; immune inflammation |
Zhe Su | UCLA | shape analysis, hippocampus |
Zhe Sun | NYU Langone Health | segmentation |
Zhe Xu | Tsinghua University | Alzheimer;interpretable;Disease diagnosis |
Zhefeng Guo | University of California, Los Angeles | CSF Plasma Abeta levels |
Zhehan Wang | University of Liverpool | Brain Tumour; Image-guided; Radiation Therapy; Brainstorm |
Zhemin Huang | Huashan Hospital, Fudan University | beta amyloid, 18F-fluorodeoxyglucose, positron emission tomography |
Zheming Gao | Northeastern University, Shenyang | support vector machine, classification |
Zheming Qiu | University of Sheffield | Alzheimer's Disease; Multi-task Learning; Lasso |
Zheming Yu | University of Pittsburgh | off-target, flortaucipir F18 PET, race and gender |
Zhen Cao | Guangzhou university of Chinese Medicine | replicate the methodology with the dataset. |
ZHEN FAN | Imperial College London | Longitudinal amyloid tau |
Zhen Haowei | XIDIAN UNIVERSITY | Alzheimer's disease,MCI,NC,DCNN |
Zhen He | La Trobe University | deep learning, computer vision |
Zhen Hu | Johns Hopkins University | connectome publication and open source dataset |
zhen jia | Xi'an Jiaotong University | cerebral palsy; Brain lesions; Early diagnosis; Image segmentation |
zhen Liu | 安徽医科大学 | MCI |
Zhen Liu | Peking University | AD; cognition; PICALM; brain structure and function |
Zhen Meng | Capital University of Economics and Business | biostatistics, genetic statistics, paired data, case analysis |
zhen zhang | 云南大学 | 研究 |
ZHEN ZHAO | University of Malaya | DEEP LEARNING, MRI, AD, MCI |
Zhen Zheng | Shantou university | medical image classification |
Zhen Zhou | University of Pennsylvanian | fMRI brain aging |
Zhen-Qi Liu | McGill University | neurodegenerative diseases, machine learning, network neuroscience |
ZHENBANG WU | University of Illinois Urbana-Champaign | clinical predictive modeling, deep learning for healthcare |
zhenbiao wang | Zhejiang University of Technology | academic research |
Zhenfeng Lv | ShanghaiTech University | ASL, MRI, DL |
Zheng Bowen | Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences | Deep Learning |
Zheng Chen | Southern Medical University | Biostatistics, survival analysis, dynamic prognostic and predictive |
zheng chen | university of shanghaitech | cz20020813cz20020813 |
zheng guowei | Lanzhou University | brainage deeplearning |
Zheng Han | Oklahoma State University | EHR, predictive analysis, ML |
Zheng Jian | XiDian University | AD classification |
Zheng Jiang | The First Affiliated Hospital of Chongqing Medical University | AI, Alzheimer's disease, Deep learning |
Zheng JianHang | China pharmaceutical University | MRI, detection, deep learning |
Zheng jianjie | Capital Normal University | Scientific research needs, AD qualitative and quantitative |
Zheng jingyuan | Xiamen University | zjy83789596 |
zheng kai | Shanghai Maritime university | research |
zheng kai | Shanghai Maritime university | 123liululu456 |
zheng kaige | 首都医科大学 | alzheimer |
Zheng Li | Shanghai University | Image Synthesis,Deep Learning |
Zheng Liu | Southern Medical University | PET; MR; Deep learning; Partial volume correction; |
Zheng Lulin | Chengdu University of Information Technology | zll123 |
zheng qiqi | no | brain image |
zheng qiuyu | Qilu University of Technology | multimodal |
Zheng Tsung-You | National Cheng Kung University | Aging brain prediction, MRI |
zheng wei | Hebei University | brain, structure, function, DTI, fMRI |
Zheng Wenao | Nanjing University | fMRI early diagnosis |
Zheng Ye | Chinese Academy of Sciences | AD, language |
Zheng Yufei | Hebei University of Technology | lzheimer's disease,he number of patients and treatment plans. |
zheng ZHANG | Shanxi University of Chinese Medicine | CNN;alzheimer;UNET |
Zhengdong Wang | ahnu | brain network analysis |
Zhengfan Wang | University of Massachusetts Amherst | Visualization, data clean |
Zhenghan Fang | The Johns Hopkins University | Deep learning, MRI reconstruction |
Zhengji Xuan | 华东理工大学 | federated learning, multimodal, medical |
Zhengjia Dai | Sun Yat-sen University | Alzheimer's disease; functional connectivity; model |
Zhengjia Dai | Sun Yat-sen University | Alzheimer's disease; functional connectivity; structural connectivity |
Zhengjun Zhang | University of Wisconsin | nonlinear connectivity, rare diseases |
zhengqi liu | penn state university | predict |
Zhengshi Yang | Cleveland Clinic Lou Ruvo Center for Brain Health | deep neural network, denoising, fMRI |
zhengshun you | Tongji University | Medical Image Analysis, Graduation Thesis, Segementation, Classfication |
Zhengwang Xia | Nanjing University of Technology | Alzheimer Disease, Automatic Diagnosis |
Zhengwei Lu | Zhejang University of Technology | image registration |
Zhengyaun Lv | Beijing Normal University | link prediction |
zhengying Wang | Jinan University | AD Early diagnosis Multi-modal Deep learning ADNI dataset |
Zhengyu Liu | Beihang University | Medical Imaging Classification, Automated Medical |
Zhengyuan Gao | Shenzhen University | simulation |
zhengyuan li | Yunnan Univercity | ADNI |
zhengyuan xu | wannan medical college | image fusion fMRI |
ZhengZheng Deng | Shanghai Brain Science and Brain-Inspired Intellegence | data-mining, big data, Alzheimer's disease |
zhengzhou gao | beihang university | gzzhv587 |
zhenhao Jin | NOrtheast Agricultural University | research;deep learning;Alzheimer's disease classification |
Zhenhao Zhang | China University of Petroleum (East China) | GCN GNNExplainer |
Zhenhong Deng | Sun Yat-Sen memorial hospital, Sun Yat-Sen University | Dementia; mild cognitive impairment; single nucleotide polymorphism; prognosis; |
Zhenhua Lin | National University of Singapore | functional connectivity, covariance matrix, functional data analysis |
Zhenjing Shi | The Third Affiliated Hospital of Wenzhou Medical University | Alzheimer’s disease; Inflammation; Cytokines; Tau; Cluster analysis. |
zhenliang xiong | Guizhou University | fMRI; machine learning |
zhenlin dai | Yunnan University | Alzheimer's disease (AD) Genome-wide Association Study (GWAS) |
Zhenlong Liao | Chongqing University of Posts and Telecommunications | medical image registration |
Zhenrong Fu | Central China Normal University | MRI network AD MCI |
zhenru chen | University of Missouri - Columbia | Drug prediction, Alzheimer's |
Zhenshan Xie | UESTC | Zero shot |
Zhentao Zuo | Institute of Biophysics, CAS | AD, AI, MRI |
zhenxi song | Tianjin University | multiple modalities, biomarkers, machine learning, computer-aided diagnosis |
zhenxiang Zang | Xuanwu Hospital | Healthy aged subjects, fmri resting state |
zhenxing zhang | Southwest University of Science and Technology | brain network |
Zhenyi Xu | Harbin Medical University | longitudinal analysis, algorithm development |
Zhenyu Chen | University of Calgary | machine learning, deep learning, classification, POI |
Zhenyu Du | University of Electronic Science and Technology of China | UsHeR874371 |
Zhenyu Li | Tsinghua University | Detection, Model. |
Zhenyu Shu | Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital of Hangzhou | Radiomics, white matter, machine learning, Alzheimer’s disease |
zhenyu shu | Zhejiang Provincial People's Hospital Affiliated to Hangzhou Medical College | Mild cognitive impairment, Alzheimer's disease, radiomics, whole brain, machine |
Zhenyu Wei | UC Davis | feature selection multitask learning |
Zhenyu Xuan | University of Texas at Dallas | computational modeling, genetic association |
Zhenzhao Liu | Beijing Normal University,Beijing,China | AD, biomarker, DTI, machine learning |
zhenzhen wang | Hezhou University | Transfer Learning |
zhenzuo chen | Ningbo University | Intelligent diagnosis |
zheping chou | First affiliated hospital of Suzhou University | multi-modal imaging markers cognitive decline. |
Zherui Zhou | The University of Manchester | Alzheimer’s Disease, MCI, Machine Learning, MRI, Plasma Biomarker |
Zheyi Zhu | Northeastern University | multimodal classification |
zheyu fan | ECUST | vitamin deficiencies |
Zheyu Li | Zhejiang | Alzheimer's disease |
Zheyu Li | Shanghai Key Laboratory of Magnetic Resonance East China Normal University | MCI,AD,fMRI,functional connection |
Zheyu Wang | Johns Hopkins University | statistical modeling; latent variable |
Zhi Chen | University of Electronic Science and Technology of China | computer vision, neuroimaging recognition, classification |
Zhi Ding | University of California Davis | data analysis, machine learning |
Zhi Gao | 北京石油化工学院 | 抑郁症,comsol,tms |
zhi hong | West China School of Pharmacy, Sichuan University | AD;Pathophysiology;Clinical indicators |
ZHI HSIN CHENG | National Yunlin University of Science and Technology | Alzheimer’s disease machine learning |
Zhi Zhou | China-Japan Friendship Hospital | basal forebrain |
zhiang zu | East China Normal University | medical image registration |
Zhibao Li | Beijing Neurosurgical Institute | brain network |
Zhibao Zhu | Fujian Medical University | neurology,Alzheimer's disease |
Zhibin CAO | HongKong,China/ The Hong Kong University of Science and Technology | medical image processing |
Zhibin Pu | Shanghaitech University | Multivariate Regression; Single Nucleotide Polymorphism; Group Sparse Regressio |
Zhibin Xin | University of Luebeck | voxel-based morphometry, image registration, Alzheimer's disease |
Zhichao Duan | Tsinghua University | Machine learning |
Zhichao Feng | The Third Xiangya Hospital of Central South University | fzc2018xyyx |
Zhichao Song | Wuhan University of Technology | Interval censoring;transformation model |
zhicheng dai | 上海海事大学 | sorry icant know what mean keywords |
zhifan zou | Tsinghua University | MRI |
zhifang ding | The First Affiliated Hospital of Zhengzhou University | AD |
Zhigang Li | Beijing Institute of Technology | multidal;heterogeneous data |
zhigao xu | The Third People's Hospital of Datong | radiomics |
Zhiguang Huo | University of Florida | statistical methodology, clustering algorithm, Alzheimer’s disease subtypes |
Zhiguang Yang | Huazhong University of Science and Technology | medical image fusion |
zhihao fan | 华南理工大学 | Thanks |
Zhihao Wang | Renmin University of China | sommthed quantile regression; variable selection; fMRI data |
zhihao wang | Dalian University of Technology | AD, machine learning, multi-modal |
Zhihao WU | Chinese University of Hong Kong | Bayesian Statistics |
Zhihao Zhou | BRNO UNIVERSITY OF TECHNOLOGY | MRI, Electroencephalogram (EEG), Machine Learning, Feature extraction |
Zhihao Zuo | Waseda Univeristy | hyper-graph, MRI, machine learning |
ZHIHENG ZHANG | University of missouri- kansas city | deep learning |
zhiheng zhou | Academy of Mathematics and Systems Science | Alzheimer's disease, deep learning |
Zhihua Liu | Shenzhen YiWei Medical Technology Co., Ltd. | image processing image classification |
Zhihua Xu | Tongde hospital of zhejiang province | AD, neuroimaging |
Zhihui Chen | Weifang medical university | brain tissues AD |
zhijian wang | Lanzhou university | MRI,Neuroinformatics |
Zhijiang Wang | Peking University | MCI, structural MRI, functional MRI, longitudinal |
Zhijie Song | BGI | Alzheimer's disease; Parkinson's disease;blood; |
zhijie zhang | Harbin Institute of Technology | Semantic Segmentation |
zhikun Hao | Hubei University of Technology | DTI |
Zhilin Zhang | Kyoto University | ingle nucleotide polymorphism, dynamic functional network connectivity, pICA |
Zhiming Pan | Wenzhou Medical University | Alzheimer's Disease |
Zhinan Yu | China Pharmaceutical University | yzn767510 |
zhino safahi | University of Kurdistan | Alzheimer's disease, Graph |
Zhipeng He | Sun Yat-sen University | MRI |
Zhipeng Yuan | university of sheffield | Deep learning, Explainable AI |
Zhipin Ye | Jiangsu University | brain |
Zhiping Qiu | Huaqiao University | Censored data;Functional Predictor;Quantile Regression |
Zhiqi Bu | University of Pennsylvania | Missing value imputation |
Zhiqian Zhai | University of Science and Technology of China | Bayesian Neural Network |
ZhiQiang Gao | PengCheng laboratory | radiomics, radigenomics |
ZhiQiang Gao | PuJiang laborotary | deep learning, causal analysis |
Zhiqiang Jiang | Nanjing University of Science and Technology | Quantile regression; partial functional partially linear single index model. |
Zhiqiang Lao | University of Pennsylvania | Alzheimer's disease, machine learning, personalized medicine |
zhiqiang ma | Northeastern University,China | scientific research |
Zhiqiang Shen | Fuzhou University | deep learning, medical image analysis |
zhiqiang xia | Jilin Univercity | FMRI,AD,Thank you! |
Zhiqiang Yu | Nanjing Brain Hospital Affiliated to Nanjing Medical University | neurocognitive function, Alzheimer's disease, traumatic brain injury |
Zhirong Chen | University of Illinois at Urbana Champaign | SNP, Selection |
ZhiRong Qiu | Fujian normal university | machine learning |
ZHIRUI LI | SiChuan province center for disease control and prevention | cognitive decline, biomarkers, AD |
Zhisen Hu | University of California, San Diego | reconstruction, super-resolution |
zhisen wen | 华南师范大学 | ANDI数据、拟议分析、人工智能算法、路径规划、A*算法、Dijkstra算法、RRT算法、机器人、仓库管理系统。 |
Zhisong Wu | Shandong First Medical University | brain MR |
Zhisong Zhang | Tianjin university | research of brain degeneration mechanism |
Zhisong Zhang | Georgia tech | brain degeneration |
Zhiwan Shi | Huazhong University of Science and Technology | super-resolution,GAN |
zhiwei cheng | N/A | research |
Zhiwei Guo | North Sichuan Medical College | differential diagnosis |
Zhiwei Huang | Southern Medical University | Alzheimer's disease; diabetes; biomarkers |
Zhiwei Ji | UTHealth | Circadian variation, AD |
Zhiwei Ma | NIH/NINDS | automatic quality control; machine learning; white matter lesions |
Zhiwei Ma | ShanghaiTech University | Machine learning; Data denoising; Data mining |
Zhiwei Qin | Shanghai Jiao Tong University | MRI; Medical image analysis; Deep learning |
ZhiWei Song | Yantai University | Medical image segmentation |
ZhiWei Yuan | ChongQingUniversity | medical image, image registration, image fusion |
Zhiwei Zeng | Nanyang Technological University | Early detection of dementia, risk prediction |
Zhiwen Wang | Sichuan University | wzw123123 |
Zhixian Han | University of Southern California | Course project |
zhixiang zhang | Anhui Normal University | zhangzhixiang123 |
ZHIXIN HUANG | Guangdong Second Provincial General Hospital | neurology; risk factor; Alzheimer's disease |
Zhixin Zeng | Hunan Normal University | Medical Image Analysis |
zhixuan liu | Tianjin medical university | Alzheimer's disease;fMRI;sMRI |
Zhixuan Zhou | South China University Of Technology | Graph Neural Network, Alzheimer’s Disease, Brain Network, Propagation Patterns |
Zhixun Li | beijing institute of technology | Artificial Intelligence |
Zhixun Wang | Chongqing University of Posts and Telecommunications | multimodal data fusion,prediction |
Zhiyang Bai | Northwest Normal University | deep learning |
Zhiyang Lu | Shanghai University | MRI, slice interpolation |
zhiyang wan | Shanxi Normal University | Alzheimer's disease |
Zhiyi Liao | Beijing Tiantan Hospital | a123456a |
Zhiyi Xiong | The First Affiliated Hospital, Sun Yat-sen University | diffusion |
Zhiyi Zhou | UESTC | writing a graduate thesis |
Zhiyi Zhou | JD.com, Inc. | Alzheimer |
Zhiying Chen | Capital Medical University | synaptic damage,Nfl |
Zhiying Hao | University of Electronic Science and Technology of China | machine learning ; medical image processing |
Zhiyong Zhao | Zhe jiang university | MRI, diffusion,hippocampus |
zhiyu hao | Northeast Agricultural University | GWAS, Binary traits, Generalized linear mixed model |
Zhiyu Sui | University of Pittsburgh | Interval-censored data, semi-competing risks, survival analysis, deep-learning, |
zhiyu yan | fudan university | interacitve medical segmentation |
zhiyu yang | Shanghai Jiao Tong University | data research |
Zhiyuan Liu | University of North Carolina | shape analysis, medical image analysis |
Zhiyuan Liu | Stanford University | TADPOLE |
zhiyuan ren | 齐鲁工业大学 | test |
Zhiyuan Song | University of Cambridge | Alzheimer’s disease, Machine learning, |
Zhiyuan Yang | Nanjing Drumtower hosipital | Alzheimer's disease; mild cognitive impairment; graph theory; brain network |
Zhiyuan YI | UCSD | DTI, ADNI |
Zhiyuan Yu | HKUST | registration |
Zhiyuan Yu | Washington University in St. Louis | Machine Learning |
Zhiyuan Zhu | Western University | resting-fMRI, transformer, graph neural network |
Zhiyun Song | BUAA | synthesis_super_resolution |
Zhizheng Zhuo | Beijing Tiantan Hospital | MRI MCI |
zhong guangzheng | Hong Kong Baptist University | ordinal regression |
Zhong Hongban | Shanghai Raising Pharmaceutical Co., Ltd | Alzheimer disease |
zhong li | The Sixth Affiliated Hospital of Sun Yat-sen University | fMRI, Alzheimer’s disease, gray matter volume |
Zhong Minglong | Nanjing Medical University | AD,DL |
Zhong Siyan | Zhejiang University | Alzheimer's disease |
Zhong Tao | College of life science | tt962464 |
zhong zhikai | hnist | brain images,research,deep learning |
ZhongAn Gao | Hefei University of Technology | deep learning, Transformer |
Zhonghui Zhang | SCU | study |
Zhongnian Li | NUAA | machine learning |
Zhongqi LI | the Chinese University of Hong Kong | Aging, Neuroimaing, Dementia, Small vessel disease |
Zhongqi Li | Guangdong Provincial People's Hospital | MFSD2A, Neurodegeration diseases, AD, PD |
Zhongrui Tang | Hefei University of Technology | Research on MRI-CT Image Conversion Method |
Zhongyi Pei | Tsinghua University | domain adaptation; semantic segmentation; Alzheimer's Disease |
Zhongzhe Ouyang | University of Michigan | Multi-source data, longitudinal data, block missing |
zhou chen | HIT(Harbin Institute of Technology) | research deep_learning |
Zhou Fan | University of Dundee | Alzheimer's disease |
zhou jinjun | university | Alzheimer network deeplearning |
ZHOU LAN | Yale School Medicine | multivariate diffusion tensor imaging |
zhou liu | GDMU | wide gene sequencing, microbial reads |
zhou pan | 新疆医科大学 | 阿尔兹海默症 |
zhou qian | Hunan Normal University | MRI Alzheimer's Disease |
zhou qingqi | North China University of Technology | aa15541318027 |
zhou Rongshen | Capital Medical University | AD classification |
Zhou Xiao | TianJin Medical University | Zx19944273261994 |
zhou xiaoqun | liaoninggongyedaxue | study |
zhou xinxiang | HMU | MRI |
zhou xuguang | 新疆大学 | fMRI and SNP |
Zhou Yunlong | Wenzhou Institute, University of Chinese Academy of Sciences | Lelouch233lelouch233 |
Zhou Yunpeng | The University of Hong Kong | Accelerated Failure Time model, High-dimensional Screening |
Zhou Yutao | Tianjin University | AD fMRI |
Zhou Zhech | USTC | medical image analysis |
zhou zhicheng | xijjiangdaxue | 287646948 |
Zhou Zhou | Beijing Jiaotong University | Deep Learning, Brain tumor |
Zhou Zhou | Beijing Jiaotong University | deep learning, CNN, MRI, classification |
zhou zhou | CQUPT | machine learning, unbalanced data, Multi-tasking |
ZHOU ZHOU | university of Leicester | AI, DL, AD, MCI |
Zhouhua Xie | Chongqing Nankai Secondary School | AI, CNN |
Zhoujian Sun | Zhejiang University | Disease Progression, Diagnosis |
Zhoule Zhu | The second affiliated hospital of zhejiang University school of medicine | normal pressure hydrocephalus; AD; Deformation based morphometry |
Zhoule Zhu | University of California, Irvine | retrosplenial cortex; DTI; fMRI; AD; MCI |
zhouling ouyang | Hebei university | fmri, deep learning, mci |
zhouyue zhouyue | Tianjin University | Alzheimer disease |
Zhu Hao | Shanghai University | functional connectivity |
Zhu Haopeng | SouthEast University | AD, ADNI,Machine Learning |
Zhu Huahong | Nanjing Medical University | Alzheimer's disease, mild cognitive impairment, functional connectivity, |
Zhu Lin | Nan Jing First Hospital | genetic, functinal MRI, AD |
Zhu Linjian | Azenta | Biomarker |
Zhu Menger | Wenzhou Medical University | data mining |
Zhu Nan | Beijing University of Posts and Telecommunications | Alzheimer disease,machine learning |
ZHU SHTAO | FUJIANuniversity | deep learning |
Zhu Xu | YNU | No |
zhu xuyan | 兰考三农职业学院 | AD MR PET SVM |
zhu yanan | ShangHai University | Multicenter, unsupervised, domain adaptation |
zhu yang | xiangtan university | application of MRI in clinical intelligent diagnosis |
Zhu Yaoyao | University Chinese Academy of Sciences | registration |
zhu yun | Shenzhen university | ADNI, model, train |
Zhu Zehua | xiangya hospital,central sourth university | spm vbm analysis; slice display; |
Zhu zhihao | the chinese university of hong kong | neural network |
zhuang ai | Xinjiang university | Alzheimer's disease;Deep Learning |
zhuang ai | Xinjiang university | Alzheimer's disease;Deep Learning |
Zhuang Tianchi | nanjing madical university | blood saliva biomarkers |
zhuangzhuang ding | Xinjiang University | functional partial linear models;influencing factors; |
Zhuo Chen | University of Arizona | Data integration |
Zhuo lin Jiang | Communication University of ZheJiang | Dynamic Brain Connectivity Preprocessing |
Zhuo Wang | Tsinghua University | interpretable machine learning, rule-based model |
ZHUO ZHU | Southern University of Science and Technology | Alzheimer‘s Disease, fMRI, dynamical functional connectivity. |
ZhuoCheng Xie | Shanghai University | Image Reconstruction |
zhuofei xia | HUAT | Transfer learning |
Zhuohao Tan | Elon University | Resaerch |
Zhuomei LI | Henan University | sparse regression ;graphical structure |
Zhuonan Wang | The First Affiliated Hospital of Xi’an Jiaotong University | Neurodegeneration disease, white matter, cortical, mild cognitive impairment |
Zhuopin Sun | University of Sydney | PET, dMRI |
Zhuoran Xiao | Capital Medical University | Marriage history, Alzheimer's disease, survival time |
Zhuowei Wang | University of Technology Sdyney | deep learning, positive unlabeled |
Zhuoyuan Guo | Beijing University of Posts and Telecommunications | AI,disease progression,Alzheimer's disease |
zhuoyuan li | shanghai university | fMRI |
Zhuoyue WAN | HKUST | wanzhuoyue20000114 |
Zhuqing Zhang | Affiliated Hospital of Qingdao University | Subjective cognitive impairment,fMRI, dynamic functional network connectivity, |
Zhuxin Wang | Tianjin University of Technology | Deep learning |
Zi Cheng Kuek | Singapore General Hospital | MRPI |
Zi Fan Zhou | Shanghai Health Medical College | MRI |
Zi jia Yan | The First Hospital of Hebei Medical University | DTI,AD,biological markers |
zi Zhou | Shenzhen university | MRI |
Zi-Chao Zhang | Fudan University | Association analysis, Intelligent algorithm |
Zi-Long LI | Xi'an Jiaotong University | Alzheimer's disease; microbiota-gut-brain axis; mcroglia |
Zi-Min Weng | university of alabama at birmingham | test freesurfer |
Zi-Xuan Wang | The Affiliated Hospital of Qingdao University | HLA; Genetics; Alzheimer’s disease; Brain Structure; Neuroimaging |
zia-ur-Rehman zia-ur-Rehman | University of Sultan zainal abidin (UniSZA) Malaysia | Alzheimer's disease, deep learning |
Ziad Saad | Janssen R&D | Staging, Cognitive Decline |
Ziang Pei | Southern Medical University | iterative reconstruction, PET, deep learning, prior information |
zichen ding | Weifang Medical University | Longitudinal data, cross-sectional data, genetic data, causal inference, machine |
zichen wen | uestc | 多视图聚类;医疗;疾病预测 |
Zicheng Wang | Jilin University | treatment dementia |
zichun li | Technischen Universität München | Alzheimer’s Disease Data |
Zichun Yan | Chongqing medcial university | AD;MCI;machine learning |
Zicong Zhou | University of North Texas Health Science Center | VBM, DBM |
zifan zuo | Nankai university | glycometabolism |
Ziga Spiclin | University of Ljubljana | image based prediction, machine learning, multi-site datasets |
Zihan Guo | Sun Yat-sen University | federated learning |
Zihan Li | University of Washongton | course study |
Zihan Tang | The Second Clinical Medical College of North Sichuan Medical College | dszdsxc312 |
Zihan Wang | Beijing University of Technology | fMRI deep learning |
ZIHAN WEI | University of Macau | study |
Zihang Li | Zhejiang University | Volumetric Registration |
zihang wang | School of Information Engineering Nanchang Univers | gnmf |
zihang wang | 无 | NMF |
Zihao Chen | Shanghai Jiao Tong University | MCI AD predicting model |
zihao guan | Fujian Agriculture and Forestry University | Disease prediction;Deep learning;Result replicate |
zihao guan | Fujian Agriculture and Forestry University | CAD, Functional connectivity, |
zihao zheng | UESTC | zzh124718 |
Zihe Dong | Beijing University Of Aeronautics And Astronautics | dzh880125 |
Zihe Dong | IMPERIAL COLLEGE LONDON | dzh880125 |
ZIHUAN LIU | MICHIGAN STATE UNIVERSITY | fMRI, high dimensional analysis. |
Zijian Wang | Donghua University | Alzheimer's, deep learning |
Zijian Zhang | The Fourth People's Hospital of Chengdu | fmri,dti,structral MRI |
Zijie SHEN | University Paris City | deep learning |
ZIJING LI | Fudan University | MRI, deep learning, CNN, AD |
Zijing Liu | Imperial College London | survival analysis, algorithm and model development |
Zijun Meng | chongqing medical university | alzheimer; astrocyte; microglia |
Zijun Yao | IBM | diagnosis prediction, disease progression |
Zikang Cheng | Imperial College London | Survival analysis, A1ATD |
Zikang Xu | University of Science and Technology of China | fairness, deep learning |
zili zhu | wenzhou medical university | Alzheimer’s disease; rsfmri; cognitive stage; ALFF |
Ziliang Zhu | UNC Chapel Hill | Imaging, genetics, fMRI |
Zilin Pan | SUN YAT-SEN UNIVERSITY | Medical Image Segmentation |
Zilin Wang | Huazhong Agricultrue University | Deep Learning |
Zilu Wang | Cornell University | MRI, Alzheimer's, Multimodal |
Zilun Zhang | University of Toronto | multimodal datasets, medical image, CLIP |
zimeng li | shanxi medical university | polygenic risk score |
Ziming Hong | Huazhong University of Science and Technology | medical image analysis; deep learning; graph convolution network |
Ziming Wang | ZheJiang University | Qq904952104 |
Ziming Xing | Tianjin University | Hippocampal radiomic features, Multisite Alzheimer’s disease, MRI Independent |
Zimo LIU | Beijing University of Posts and Communication | PET |
zimu wang | anhui University, China | segmentation;neural network |
zineddine khedri | Hight schole of computer science | alzheimer's disease classification |
zining wan | Communication University of China | CBF Maps |
Ziou Li | Southeast University(CN) | WGAN |
Ziqi Fan | China | neuroinflammation AD beta amyloid |
Ziqi Li | Oxford University | Alzheimer's Disease, Neural ODE, Path-related theory |
ziqi Wei | Tsinghua University | Imbalanced data analysis; Data Mining |
ziqi wei | Shanghai Jiao Tong University | GNN, Brain network |
ziqi wen | China | wzq3220210669 |
Ziqian Wang | Charite | neuroimaging genome |
ziqin wang | usyd | research |
Ziquan Wei | The University of North Carolina | BOLD signal, fMRI, classification, AD |
ZiRui Liu ZiRui Liu | Henan university | dementia, machine learning, Alzheimer's disease |
zitong wan | Jinan University | pathogenesis、preventive、Alzheimer's disease |
zitong zhao | Changzhou Institute of Technology | Alzheimer's disease sMRI and fMRI samples |
Zitouni Asma | Larbi Ben M'hidi universty | indexation ,annotation |
Ziwen Gao | Anhui Medical University | Alzheimer's disease |
Zixian Li | Harvard University | Image segmentation, Alzheimer's disease |
zixian su | Xi'an Jiaotong-Liverpool University | medical imaging, Alzheimer's Disease,neuroimages |
Zixiang Ji | tongji university | 19980719jzx12345 |
Zixiao Zhao | xiamen university | AD, pattern |
Zixiu Zeng | Beijing University of Chinese Medicine | PSCI, ischemic stroke |
Zixu Guo | University of Reading | ADNI, Machine learning |
Zixu Pang | xidian university | deep learning,image registration |
Zixuan Chen | Sun Yat-sen University | Medical Image Reconstruction, MRI |
Zixuan Liu | University of Washington | Deep Learning, Diagnosis of AD, transformer, pre-training model |
Zixuan Liu | BUPT | neural networks |
Zixuan Tang | University of California, Berkeley | Prediction |
Zixuan Zhao | University of Chicago | depression classification |
Ziyan Jia | Beijing Tiantan Hospital | insulin resistance |
Ziyan Song | Indiana University | cluster subtype |
Ziyan Zhang | Anhui University | Disease diagnosis, GNN |
Ziyang Jiang | Duke University | Multimodal data, Gaussian process |
Ziyang Liu | School of Biological Science and Medical Engineering, Beihang University | Deep Learning, Brain age |
ziyang tang | purdue university | Deep learning |
Ziyang Wang | Oxford University | unet, encoder-decoder, segmentation |
Ziyang Xu | UIUC | image synthesis |
Ziyang Zhao | Lanzhou University | Alzheimer’s disease; MCI; Depression; |
Ziyang Zheng | University of Illinois at Urbana Champaign | Image translation |
ZIYE LUO | Renmin University of China | heterogeneous model |
Ziyi Chen | Carnegie Mellon University | Machine Learning coursework project |
Ziyi Chen | University of Washington | AD |
Ziyi HE | Hong Kong University of Science and Technology | Groupwise image registration |
Ziyi Liu | Shanghai Medical Health Center | APOE, progression |
Ziyi Liu | WuHan University | machine learning, medical images, performance analysis |
ziyi long | Dongzhimeng Hospital | MRI prognosis |
ziyi yang | Fudan University | machine learning; can |
Ziyi Zhang | Nanjing University of Posts and Telecommunications | deep learning, Alzheimer’s disease classification |
Ziyu Du | Tsinghua University | AD pre-diagnosis, machine learning, software engineering |
Ziyu Guo | Peking University | Deep Learning, Computer Vision, Multi-modality Learning |
ziyu li | Hebei University of Technology | academic research |
ziyu li | Zhejiang University | MRI, cognitive function,WMH |
Ziyu Liu | florida state university | Alzheimer's disease, causal inference |
ziyu ouyang | the Central South University | glymphatic system |
ziyu Yi | Guangzhou University | AD |
Ziyuan Ye | Southern University of Science and Technology | halo1998! |
Ziyue Ling | The Hill School | N/A |
Ziyue Qin | National University of Singapore | multimodal fusion |
Ziyue Yu | Macao Polytechnic University | cause of disease, deep learning |
Ziyun Li | Capital medical university | AD,neuroimaging |
zn Aus | Tsinghua University | machine learning |
Zoe Fowler | Georgia Institute of Technology | disease detection, active learning algorithms, deep learning |
Zoe Kourtzi | University of Cambridge | T1 PET GCN ML |
Zoe McNeill | Liverpool John Moores University | ALVT, Digital Cognitive Biomarkers |
Zoe Mendelsohn | University College London | atrophy |
zoé Q | Shanghai University of Finance and Economics | qwe123WIN |
Zoe Tsokolas | University of Illinois Student (in progress of B.S; graduation date in May 2023) | Cognitive assessment, medication data, hormones, MCI, Alzheimer's, female, fMRI |
Zofia Gluma | Wroclaw University of Science and Technology | Deep Learning |
Zohaib Shahid | Government College University | MRI, Machine Learning, Alzheimer's, Diagnosis |
Zoheb Ahasan | IIT Delhi | AD, Prediction |
Zohra Mahfouf | Souk Ahras University- Algeria | ADNI, optimazation, Alzheimer |
ZOHRE FAZ | KAUMS | 1190268388 |
zohre zibaei | Tabriz university | 2284412 |
Zolnamar Dorjsembe | National Taiwan University of Science and Technology | deface, de-identification of MRI images |
Zoltán Gelencsér | NETIS Zrt | dementia Parkinson Alzheimer |
Zonera Anjum | National University of Computer and Emerging Sciences | Dementia, Alzheimer |
ZONG BIN HUANG | 國立勤益科技大學 | MRI,CNN,PYTHON |
Zong Fan | UIUC | MRI, deep learning, hippocampus segmentation |
Zong Ming | Peking University | AD prediction diagnosis, computer vision approaches, deep learing, MR images |
Zong Zhang | Beijing Normal University | TMS Targeting |
ZONG-JHE LYU | Chang Gung University | Alzheimer's Disease, PET, MRI, Image Processing |
Zong-Ze Chen | National Sun Yat-sen University. | T1 image |
Zongchao Liu | Columbia University, NYSPI | Deep learning; interpretability |
Zonghua Li | Mayo Clinic | Alzheimer's disease, mild cognitive impairment, APOE |
Zonghui Yao | Northeastern University | functional MRI, funcitonal data analysis, depth, high dimensional data analyisis |
Zonghui Yao | Northeastern University | functional MRI, funcitonal data analysis, depth, high dimensional data analyisis |
Zonglin He | Guizhou University | multi-modal knowledge map of Alzheimer's disease |
Zongmei Gao | Columbia University | MRI, AD, screening |
Zongrui Dai | University of Michigan, Ann Arbor | Deep learning, Data augmentation |
zongshuai qu | Ludong University | AD |
Zongyao Li | Hokkaido University | Deep learning |
Zongyu Dai | University of Pennsylvania | Missing data imputation |
Zoraiz Qureshi | University of Virginia | machine learning, classification, parametric mapping |
Zoraiz Qureshi | University of Virginia | machine learning, classification, parametric mapping |
Zoran Pantoulas | Center for European Master Programs | Deep learning; Alzheirmer’s Disease; fMRI;Diagnosis;Multi-class ;Classificatio |
Zou Aixiao | Beijing University of Technology | data mining,bioinformatics and brain science |
Zou Guohuang | Northeastern University at Qinhuangdao | deep learning, alzheimer's disease |
zou hongliang | Nanjing University of Science and Technology | research |
zou jingyi | Central South University | data impute |
Zou MengJie | Central South University | risk prediction |
zou mingjun | tongji hospital | MCI; hypertension; dementia; cognitive impairment |
ZOU XY | 华南理工大学广州学院 | knowledge |
zou yi | Zhanjiang University of Science and Technology | Alzheimer's disease; Mild cognitive impairment;Deep learning; |
ZOU YINGTIAN | National University of Singapore | Disease trajectory prediction |
zoulikha bebboukha | universety biskra | alzheimer, dataset, classification, multiclasses |
zp li | 周口师范学院 | 张量分析 |
ZQ HE | Shanghai Changzheng hospital | Alzheimer; coronary artery diseases; biomarkers; high risk identification |
Zsolt Huszár | Semmelweis University | Alzheimer' disease, beta amyloid, progression, conversion |
zubair ahmed | Nust university EME college Pakistan | Early Alzheimer Detection |
zubair ahmed | Nust university EME college Pakistan | Early Alzheimer Detection |
ZUBAIR QAISER | Shandong University | Alzheimer's Disease and neural circuits of brainstem |
zuhao sun | tianjin medical school general hospital | fMRI gene expression |
Zujiang Pan | Tsinghua University | disease progression study |
Züleyha Yılmaz Acar | Selçuk University | Alzheimer's disease, machine learning, deep learning, classification. |
Zulqarnain Khan | Northeastern University | classification, factor anlysis |
Zulqarnain Khan | Northeastern University | machine learning, fMRI, unsupervised learning |
Zumar Noor | FAST NUCES Karachi | CSF Biomarkers, AD, ML model |
Zunya Shi | University of Michigan, Dearborn | Degradation; Diagnosis; RUL prediction |
zuo pengfei | DNUI(Dalian Neusoft University of Information) | machine learning |
zuo zuo | Hunan Technology University | classification deeplearing |
Zuoming Fu | Huazhong University of Science and Technology | PET, Parkinson's, DOPA, FDG, neurodegenerative |
Zuoxiang Dong | Qingdao University | Alzheimer's disease |
Zuzanna Roszkowska | Krajowy Fundusz na Rzecz Dzieci | mentoring, neural networks |
Zuzanna Wieckiewicz | Medical University of Wroclaw | Research |
zxy shuai | 华南理工大学广州学院 | knowledge |
zzhang zzhang | Hebei University of Economics and Business | research data |
Đào Hải Long | hanoi university of science and technology | MRI method |
ΣΤΕΛΛΑ ΤΑΣΙΟΠΟΥΛΟΥ | φυσικής | 43061390 |
Александр Шумилов | Skolkovo Institute of Science and Technology | ML, Alzheimer disease |
سارة سعد عبد الجبار | north technical collage | MRI image dataset of alzheimer's patient? |
Akiva Kleinerman | Bar-Ilan University, Ramat Gan, Israel | AI, deep learning |
一航 张 | 杭州电子科技大学 | 在读硕士研究生 |
一铭 王 | 哈尔滨工程大学 | 识别;MRI;PET |
丁 家正 | 北京大学 | deep learning, Alzheimer’s disease classification. |
三 张 | 西安文理学院 | 五 |
世观 母 | 曲阜师范大学 | 学术研究 |
东涵 吴 | 西南民大 | AD, |
丹 姚 | 河北工业大学 | yd |
丹妮 冯 | Zhengzhou University | for scientific research |
丽星 彭 | 长春理工大学 | 阿尔兹海默症 |
也 王 | 电子科技大学 | study |
书展 郑 | 安徽工程大学 | MCI,AD, neural network |
于 张 | Southwest University | scientific research |
云帅 高 | Northeastern University at Qinhuangdao | learning |
云松 罗 | Southwest University | Deep learning classification evolution Convolutional neural network |
亚彤 刘 | 山东理工大学 | CNN 医学图像分析 |
亚鹏 高 | Shanghai Maritime University | AD,non-commercial,personal project |
亿 辛 | 华中科技大学 | Smart medical image research |
介源 郑 | Donghua University | zjy19970309 |
代 硕 | LIAOCHENG UNIVERSITY | no |
任 亚亭 | 无 | study |
任 宇 | 郑州轻工业大学 | medical image ;registration |
伟 卢 | 无 | 深度学习;预测方法 |
传泰 叶 | Beijing university of technology | Data Analysis |
传海 徐 | 厦门大学 | MCI、AD |
余 晨希 | 中国地质大学(武汉) | alzheimer's disease;Brain morphologic network system |
佳宁 宋 | 西安交通大学 | MRI neighborhood embedding learning |
佳怡 林 | Chongqing Medical University | AD MCI MRI |
佳慧 胡 | 宁波大学 | 深度学习 阿尔茨海默病 |
佳欣 李 | 江汉大学文理学院 | 阿尔兹海默症 |
佳汶 姜 | 潍坊医学院附属医院(临床医学院) | 黑质致密部 神经元 |
佳辰 陈 | 山东大学 | 谢谢 |
佳鑫 张 | 太原理工大学 | 毕业设计 |
佳鑫 李 | 沈阳工业大学 | 数据对我很重要 |
保德彪 保 | 无 | 无 |
保罗 坎达 | HebUT | image processing, deep learning |
倍文 黄 | 珠海科技学院 | 阿尔茨海默病 |
倞 徐 | 西安工程大学 | 深度学习 |
健 蚁 | changchungongyedaxue | jian769914001 |
军池 刘 | 电子科技大学 | MRI artifact deep learning |
冬梅 谷 | Peking University | MCI screen cognitive tool |
冯 娇娇 | ludong | 20001110 |
凛 陈 | Central South Normal University | single cell RNA-seq, cell cluster, correlation analysis |
凯林 王 | 复旦大学 | 生物医学 |
刘 旭辉 | Chongqing Medical University | Data analysis |
刘 露露 | 广西科技大学 | ADNIADNI |
利华 幸 | 福州大学 | 人脑dem研究 |
加成 好 | 天津大学 | 深度学习 |
勒川 朱 | Southwest Medical University | zlc197500 |
北海道的光 北海当的光 | Ocean university of china | syudy |
华秋 赵 | 中南民族大学 | AD,DeepLearning,Segmentation,Prediction |
卓 韩 | 河北地质大学 | Deep Learning, PET, BiLSTM |
南舘 拓弥 | 岩手県立大学 | MRI |
博 刘 | 辽宁师范大学 | 脑部病变分类 |
卢 俊杰 | 上海海洋大学 | deep learing 、CNN、classification |
卫宫 士郎 | Nanchang University | MRI; deep learning |
可漂 陈 | 2020-09-01 | 阿尔兹海默症;人工智能;医学图像 |
向前 赵 | 北京邮电大学 | MRI |
启尧 张 | 南京信息工程大学 | fMRI data processing models. |
吴杰 吴 | 重庆邮电大学 | 深度学习,python,医学图像处理 |
周 泽安 | 西安电子科技大学 | 机器学习 医疗 生物 |
呼 义林 | 重庆邮电大学 | fmri |
哲 王 | 青岛大学 | applying ADNI database for scientific research analysis |
喜媛 蔡 | Zhongshan medical university | ad |
喜媛 蔡 | Zhongshan medical university | AD/Ventricles volume |
嗣金 颜 | 北京师范大学 | adni |
嘉庆 张 | xiamen university | Prediction and classification of Alzheimer's disease based on deep learning |
嘉灏 李 | qiduyaoye | 阿尔兹海默症 脑白质 |
嘉琦 冯 | 云南大学 | graduation thesis,senior student |
嘉豪 袁 | 湖北大学 | network ,residual |
国庆 陶 | 上海理工大学 | MRI images、artificial intelligence |
均怡 王 | 武汉科技大学 | 生活方式、健康生活、认知障碍 |
坤伦 方 | 山东师范大学 | 阿尔茨海默症 |
坪 曹 | 中南大学 | tudoutudou529~! |
培昌 乔 | 曲阜师范大学 | 预测 |
增贝 袁 | 上海健康医学院 | 影像组学 |
夏 伟 | 兰州交通 | 医学 |
夏 刘 | 青海师范大学 | AD MCI fMRI |
夏 燕来 | tianjin | ineeddata,thanks |
大顺 王 | 武汉科技大学 | 影像遗传学阿尔兹海默病 |
天勇 刘 | 个体 | Medical image registration |
好男 李 | 滨州医学院 | 阿尔兹海默症 |
娟 鲍 | Hubei University of Medicine | Alzheimer |
婧 李 | 南京邮电大学 | emotion recognition and emotion analysis of Alzheimer's disease patients |
婧萱 王 | 中国东北大学 | 阿尔兹海默症,深度学习,数据集 |
媛媛 党 | 上海理工大学 | Alzheimer's disease MRI image data |
子力 孟 | 贵州大学 | Alzheimer’s disease diagnosis |
子婷 张 | 南京师范大学 | 函数型数据分析 |
子淳 黄 | 福建师范大学 | medical image |
子琪 高 | 上海大学 | Alzheimer |
子粲 林 | North East University | adni dataset functional brain network Graph Neural Network classificati |
子臻 魏 | 南方科技大学 | AD prediction |
子豪 李 | Nanchang University | ADNI, PET |
子颖 林 | 齐鲁工业大学 | AD diagnostic analysis |
孟翔杰 孟翔杰 | none | 学术 |
宇 管 | Beijing University of Posts and Telecommunications | deep learning,Predicting Alzheimer's disease |
安洁 尹 | 山东师范大学 | none |
宋 雨 | Guangdong University of Technology | Medical image processing |
宋成 宋成 | 大连医科大学附属第一医院 | 神经 |
宜雨 张 | 烟台大学 | AI and medicine |
家明 辛 | 北京理工大学 | Deep learning, AD |
家玮 张 | 山西医科大学 | Alzheimer‘s diease, machine learning, mild cognitive impairment |
家琪 陈 | Zhejiang University of Technology | nitgod1996 |
家祥 曹 | 河南大学 | Research |
容吉 叶 | 中央财经大学 | GNN, MCI classification |
小 洁莹 | 浙江理工大学 | AD,deep learning |
小吃 吴 | 广西师范大学 | Alzheimer disease |
小团 马 | 东北石油大学 | MIR |
岚岚 李 | 上海大学 | nulideyiyi.0109 |
岚莉 姜 | Beijing Normal University | Subjective memory decline |
帅帅 杨 | 湖南大学 | research and learn |
帆 杨 | 河北工业大学 | AD,MCI |
广宇 董 | JiLin University | dgyzhendexiu0604 |
张 书豪 | Yunnan University | AD |
张 军军 | sun yat-sen university | run model |
张 可 | Southeast University | deep learning for disease diagnosis |
张 明娜 | 内蒙古科技大学 | smallnn |
张 泷玲 | 黑龙江大学 | abcd9876. |
张 珂 | 中山大学附属第五医院 | dFNC |
张 瑞杰 | 广西师范大学 | spectroscopic analysis for the early diagnosis of Alzheimer's disease |
张 钺 | 长春工业大学 | fMRI、高维图像标量回归、贝叶斯分析 |
張 凱鈞 | National Taiwan University | Alzheimer’s Disease Neuroimaging Initiative fMRI dataset |
彤 汪 | 南京医科大学 | AD 睡眠 小脑 脑网络 |
彦祖 张 | 重庆邮电大学 | Bachelor of Science |
彪 陈 | 西南民族大学 | Brain science, schizophrenia |
彬 孙 | 中国科学院大学 | synthesize images |
彭 珊珊 | South-Central Minzu University | abc,200253689123 |
徐 希文 | 复旦大学附属华山医院 | AD |
徐 立强 | 西南交通大学 | 学术 |
徐贝贝 徐 | 湖南师范大学 | 阿尔茨海默症 logistic回归 |
德正 胡 | 台州学院 | 阿尔茨海默氏病 |
志强 夏 | 吉林大学 | brain disease diagnosis |
志明 秦 | 南京市鼓楼医院 | Alzheimer's disease |
思懿 王 | 上海理工大学 | prediction model |
思敏 严 | 武汉理工大学 | fMRI |
思敏 张 | Nankai Univercity | Deep Learning, study, neuroimaging |
思雨 邢 | 吉林大学中日联谊医院 | 学习所用 |
思雨 陈 | hebut | For study |
怡 凌 | zhejiang university | Alzheimer’s disease; imaging techniques; early diagnosis; |
怡仲 陳 | 國家衛生研究院 | alzheimer's disease |
恩栋 刘 | 哈尔滨理工大学 | 234014 |
惠秋 陈 | 上海海事大学 | imaging genetics;Alzheimer's disease;thesis; |
戎 猛 | 厦门大学翔安校区 | 168975109217318598208 |
振鑫 雷 | university | segmentation |
捷 紀 | National Yang Ming Chiao Tung University | texture feature , deep learning |
敏 张 | 中南大学 | 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI |
敖吉 敖 | 天津理工大学 | MRI ADNI |
文 李 | anhui normal university | Medical Image Processing |
文强 高 | Fudan University | deep learning model |
文霞 杨 | 兰大二院 | AD sMRI fMRI |
斯闵 杨 | JLU | primary olfactory cortex |
新 梁 | 长春理工大学 | 阿尔茨海默病 |
新宇 柴 | 中南民族大学 | Brain Disease Detection |
方丹丹 Fang | 南通大学附属医院 | - |
旭光 周 | 新疆大学 | EMCI,SNP |
旺 陈 | Beijing Jiao Tong University | numerical experiments |
昊天 沈 | 上海大学 | Brain network analysis |
昊妍 倪 | 南方医科大学 | 血液评估 饮食/生活方式评估 |
易 序晟 | South China Normal University | Parkinson’s disease;South China Normal University |
昕 陈 | Chongqing University | Alzheimer’s disease, hippocampus, feature selection, classification |
昝 泽琼 | 云南大学 | 2914547202zanzeqiong |
星儒 蔺 | 山东师范大学 | image |
星星 王 | 南京航空航天大学 | wangxingxingNChu023812 |
昱峥 杜 | Shandong University of Traditional Chinese Medicine | deep learning;Convolutional neural networks;Medical Artificial Intelligence |
晏丞 卓 | Department of Mathematics National Chung Cheng University | Neuroimaging data |
晓晴 赵 | 西安邮电大学 | AD |
晓涵 李 | 天津市工业大学 | 多模态 深度学习 |
晓菲 刘 | 华中农业大学 | AD MRI |
晓露 林 | 福建师范大学 | AD |
晨 江 | NCU | cghdcghdgh |
晨 贾 | 郑州大学 | brain age prediction |
晨 贾 | 郑州大学 | brain age prediction |
景越 米 | 河北大学 | 图像融合 |
智 张 | 山东大学 | AD MRI |
智苗 曹 | Yunnan University | distance correlation screening;projection correlation screening |
曹 子利 | 西南大学 | Verification code |
曹 雨琴 | Fudan university | causal learning |
曾 雷 | 贵州医科大学 | Alzheimer's disease, convolutional neural networks |
曾 雷雷 | 贵州医科大学 | Zhìnéng zhěnduàn fēnxī 6/5000 Intelligent diagnosis analysis |
有势 周 | 曲阜师范大学 | 学习,研究 |
朋 王 | HeBei University of Science and Technology | fmri_120.mat |
权恒 姚 | 中北大学 | deep learning |
李 可 | 广东顺德创新设计研究院 | 脑网络,AD |
李 善勇 | 山东大学(威海) | gcn,ad |
李 晓晨 | 大连民族大学 | 分类,变量选择 |
李 晓晨 | 大连民族大学 | 分类,变量选择 |
李 海龙 | dhu | 123456 |
李 萌萌 | 首都师范大学 | 学术 |
李 蔡进 | 杭州电子科技大学 | Hdu1291779 |
李维龑 李 | 中北大学 | Deep learning |
杜 荣昌 | Yunnan university | Alzheimer's disease |
条 五 | 学校 | 阿尔茨海默症数据集 |
杨 子豪 | 福州大学 | Alzheimer,Cerebral cortex |
杨 潇 | 湖南中医药大学第一附属医院 | 科研 |
杰 朱 | 浙江传媒学院 | 562319 |
柏宇 陈 | 南京林业大学 | 阿兹海默 |
柏崴 董 | 河北工业大学 | 阿尔兹海默症 |
柳浩 余 | 广州大学 | 深度学习,机器学习,数据增强 |
梁 友诚 | Guangzhou University of Chinese Medicine | gene |
梓豪 张 | 东北电力大学 | 基于深度学习的AD早期诊断 |
梓露 李 | 昆明理工大学 | 阿尔兹海默症 |
梦晓 彭 | Taiyuan University of Technology | Alzheimer's disease |
梦竹 杨 | 临沂大学 | 数据集 |
森 韩 | DALIAN MARITIME UNIVERSITY | research |
楚杭 郑 | 集美大学 | machine learning, PET, MRI |
楠 吴 | 宁波大学 | 医学影像 |
楷清 金 | HNU | Big Data Counting project |
欢 刘 | Shenzhen Kangning Hospital | Senile psychiatric dementia patients |
永丽 骆 | 上海海事大学 | 阿尔兹海默症 |
永杰 周 | 厦门理工学院 | AD Deep learning |
永霞 鲍 | 长春理工大学 | 基于机器学习的阿尔兹海默症风险预测 |
江 先 | Hefei University | 123zxcvb |
江 滢滢 | Capital University of Medical Sciences | college design |
汪 建东 | 山东大学 | Multimodal neuroimaging and genetic data to predict Alzheimer's disease |
沙 小琴 | 河北大学 | fmri |
泽强 冼 | 广东技术师范大学 | 机器学习 |
洁 丁 | Guizhou University | PET brain imaging |
洪汉强 洪汉强 | USTB | 20010630a |
济楚 王 | 北京科技大学 | EEG |
浩淇 赵 | 太原理工大学 | 阿尔兹海默症 脑图像 |
浩然 李 | 曲阜师范大学 | 阿尔兹海默症 |
海 亚 | 东华大学 | MRI |
涛 刘 | 太原理工大学 | liutao199791512 |
涛 邓 | 30 Xueyuan Road, Haidian District, Beijing, China | three-way classification,AD,MCI,NC |
涛 郭 | 太原理工大学 | 毕业设计所需 |
润丰 田 | 西北工业大学 | 多模态 |
淑贤 杨 | 天津医科大学 | 0 |
淑雅 张 | 广西大学 | Brain imaging genetics |
淼俊 胡 | 湖南 | research,permission,privacy policy |
源 刘 | sziit | study |
潘 嘉诚 | 宁波大学 | good |
炀 肖 | Zhejiang University | Brain functional networks, machine learning, classification and prediction |
烁 李 | 东北大学 | Academic research |
焕然 贾 | 华中农业大学 | ADNI MRI |
爽 刘 | Dalian University of Technology | voxelmorph,experiment |
玉晗 李 | 天津工业大学 | brain age |
玉洁 曹 | 兰州大学 | ADIN |
玉龙 张 | 常州大学 | sensor |
王 品梅 | Shanghai Maritime University | brain network, AD, fMRI, feature extraction, training of classification model |
王 安忆 | qingdao universiry | β amyloid deposition, pathologic tau, neurodegeneration |
王 怡菲 | 生物物理所 | 广告 |
王 蒙 | Qingdao University | Neurodegenerative diseases |
王 青松 | 山东中医药大学 | 7493757767335944440000 |
王 飞 | 河南工业大学 | 深度学习 |
王千 王 | 长春理工大学 | dissertation |
玟卉 段 | Chung Shan Medical University | AD |
珂 陈 | YMU | AD |
珏秋 郭 | 重庆邮电大学 | 248324556 |
琛 温 | Capital University of Medical | Amyloid β, Tau, and α-Synucle |
琦 陈 | 南京医科大学 | Alzheimer' disease; factors; SNPs |
瑞 严 | 深信息学院 | 深联微科 |
瑞晨 韩 | Drum Tower Hospital | treatment and diagnosis ideas.about AD |
瑞瑞 李 | 无 | 无 |
瑞鑫 张 | 北京化工大学 | cnn |
白 亚靖 | 江汉大学 | three-dimensional convolutional neural network |
白 宇梁 | Yunnan University | Feature screening; NMAR |
白 曹 | 太原理工大学 | Meta learning strategies |
睿 黎 | 华南理工大学软件学院 | Registration |
睿华 朱 | 天津医科大学 | DTI |
程博 杨 | 河南财经政法大学 | 202034070536 |
童伟 杨 | Xidian University | fMRI |
竹 兰 | 东北电力大学 | 图像去噪 |
維鴻 鍾 | 朝陽科技大學 | Alzheimer's disease |
红 蒋 | 新疆医科大学 | AD |
纪 聪辉 | Chongqing University of posts and telecommunication | Medical Image Processing |
羽洁 董 | 上海财经大学 | 深度学习 神经图像 |
耀麟 邢 | 西南民族大学 | AI,computer science |
聂 刘全 | 西南财经大学 | learn |
肖 伟康 | JiLin University | voxelmorph |
舒络 尹 | 的撒大苏打 | dataset |
舟 谢 | 佳木斯大学 | Scientific research, postgraduate, SCI |
艳平 李 | 陕西科技大学 | brain medical |
艾珍 李 | 南京航空航天大学 | 脑影像遗传学 |
芃 刘 | YNU | 学习 |
芳宇 刘 | 上海大学 | Application data for scientific research |
苏 维强 | 潍坊医学院 | Prediction;AD |
若蒙 柴 | 山东省青岛市市立医院 | 123456 |
英妹 韩 | 黑龙江中医药大学 | AD、MCI |
蓝阳 王 | Nanjing medical university | AD |
蓝阳 王 | Nanjing medical university | AD |
蔡 碧莲 | south central university for nationalities | cm1354798 |
蔡 蔡 | 无 | 无 |
薛 潘 | jiangsu ocean university | 781129 |
虎 于 | 烟台大学 | 基于深度学习的医学图像配准 |
謝 育誠 | 清華大學 | ADNI |
许 得超 | 南京审计大学 | kn5bgcx |
许 文婕 | 合肥工业大学 | datasets, graduation design, graduation thesis |
许潭玥 许 | dfg | multilpe tensor ,AD, MCI |
谷 妍 | Beijing Institude of Technology | scientific research |
贝 张 | 广东医科大学 | 1111111111111 |
贺 永军 | 广东技术师范大学 | 73222198 |
贾 洪飞 | Beijing technology and business university | Assisted diagnosis of alzheimer's disease |
赵 海博 | 佳木斯大学 | 1028zhao |
超 蒋 | 天津理工大学 | dataset |
超 韩 | Xiamen University | fMRI; GAN |
超杰 倪 | 上海大学 | machine learning |
超群 王 | Anhui University | beginner;fMRI |
超锋 黄 | Xiamen University | classification , deep learning, multi-modal |
路 苗苗 | 北京理工大学 | image registration |
轩航 李 | 山东第一医科大学 | 阿尔兹海默症早期诊断,脑龄预测,人工智能 |
辉 赵 | Yunnan University | ML |
迪 康 | chongqing university of post and telecommunictaions | research test |
途 吕 | 西安理工大学 | medical image |
郑 海鹏 | 河池学院 | mask R-CNN |
郗 建东 | 重庆大学 | AD分类和预测 |
郝 瀚 | 华北理工大学 | trem2 |
金成 崔 | 江苏省人民医院 | Alzheimer's Disease |
金津 郭 | UESTC | Alzheimer research |
金金 李 | 长春理工大学 | 阿尔茨海默症 |
金钊 于 | Zhongnan University of economics and law | current status data; clinical experiments |
鑫 傅 | 重庆邮电大学 | mzbkwewzwlq567. |
鑫 艾 | 杭州电子科技大学 | learning |
鑫宁 乐 | uestc | 990807 |
鑫炎 王 | UPC | 8527yan |
鑫萁 闫 | 洛阳师范学院 | ADNI数据集 |
钟 林轩 | Chongqing University | zlh17707 |
钰强 邢 | 厦门大学 | 图像分割,分类 |
钱俊 杨 | Guangzhou Medical university | Multimodal; fusion; Deep learning; |
钱俊 杨 | Guangzhou Medical university | Multimodal; fusion; Deep learning; |
陈 俊卿 | 吉林大学 | Machine learning,Deep learning,AD |
陈 家琪 | ccc | 1 |
陈 瑞音 | 北京邮电大学Beijing University of Posts and Telecommunications | classification AI prediction |
陈 诗桦 | 广州医科大学 | 阿尔兹海默症 |
雅婷 周 | 广州中医药大学 | AD |
雅玲 方 | 东北大学 | Diffusion Model |
雨唐 吳 | Yuan Ze University | none |
霞 普 | 云南大学 | 衰老 |
静杰 闫 | 南京邮电大学 | emotion recognition and emotion analysis of Alzheimer's disease patients |
静茹 刘 | 湖南铁道职业技术学院 | 。。 |
静茹 王 | 常州大学 | 无 |
静静 段 | 新疆医科大学 | MRI |
非 谢 | Tongji University | complex networks,small-world parameters,functional connectivity |
顾 旭明 | Jilin University | Alzheimer’s Disease, Mild Cognitive Impairment |
飞燕 杨 | 昆明理工大学 | yfy123456 |
飞翔 王 | China Medical University | AD, Eyemovement |
馨钰 胡 | 江汉大学 | No keywords |
高 路 | 湘潭大学 | 米尔 |
高 高 | 中国科学院重庆绿色智能技术研究院 | AD MMSE machine learning |
高峰 高峰 | 无 | 123 |
魏 明阳 | Henan Polytechnic University | vision transformer、Alzheimer's disease |
鸿莉 程 | shanghai university | AD clinical score prediction |
麒霖 郑 | 西昌学院 | 阿尔茨海默病 |
麒麟 朱 | 四川大学 | zhu19970726 |
黄 湛博 | Beijing University of Technology | Brain Science |
黄 铠沣 | 青岛大学 | Alzheimer,deep learning |
默文 张 | 山东师范大学 | 1 |
은석 오 | 금오공과대학교 | 딥러닝 |
이 태준 | yonsei university | statistical epidemiological brain theory, deep learning |
정훈 김 | 한국외국어대학교 | Alzheimer |