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 |
---|---|---|
Milin 'Kim | NORMENT / University of Oslo | norment normative modeling |
ANIMESH KUMAR -- | National College of Ireland | BRAIN AGE, MRI, DEEP LEARNING, PREDITION |
Mayank . | IIT BHU Varanasi | GAN |
sakshiwala . | National institute of technology patna | mild cognitive impairment, resting functional MRI, brain functional network |
Ankita . | Chitkara University | Classification, Alzheimers, Deep Learning |
1 1 | 中南民族大学 | study |
6 78 | National Taiwan University | starrain0819 |
Jismi K A | College of Engineering Trivandrum | Alzheimer's Disease, mild cognitive impairment, Cognitive impairment |
a a | a | a |
Suganya A | VIT University | Alzheimer, classification,deep learning |
Shravya A | VCET Puttur | MRI |
Sasithradevi A | Vellore Institute of Technology | disease diagnosis |
Thushara A | TKM College of Engineering | AD,MCI,Brain graph, rsfmri,DTI,Tractography |
XY A | 山东大学 | GCN, AD,Machine learning |
Shrihari A | IIT Guwahati | MRI, T1, HV, CNN |
Srinivasan A | CSIR-CMERI | Alzheimer's Disease |
Revathi A | SRM Institute of Science and Technology | machine learning |
Sai Darahas A | National Institute of Technology Andhra Pradesh | neuroimaging |
Talha Fathima A | St.Joseph's college of engineering | 3D CNN |
ananda kumar a | - | research |
Dinu A J | Noorul Islam | AI,Alzheimer's disease |
sunija a p | National Institute of technology Tiruchirapallli | biomarker, OCT, artificial intelligence |
Anusha A S | IISc | Machine learning, Pattern identification |
Prabhakar A T | Christian Medical College, Vellore | Lesion based study, Stroke, Lesion network mapping |
Yassine Aakil | UMASS Lowell | AI, MRI, CT, Brain |
nima aalizade | rs | cnn |
soukaina aassouss | university of cagliari | CNN ,Classification |
Fatemeh Abadian | Iran University of Science and Technology | Deep learning, Weakly supervised, Classification, MRI |
Brennan Abanades Kenyon | Oxford Univerity | segmentation, volume estimation, FSL |
Somayeh Abasabadi | Alzahra univercity | FMRI,MRI,AD,deep learning |
Hawraa Abbas | Kerbala University | Dementia classification |
Zeeshan Abbas | Jeonbuk National University | deep neural network, Alzheimer, omics |
amal abbas | university of Al-Qadisiyah | Alzheimer disease diagnosis |
Syed Qasim Abbas | La Trobe University, Melbourne | Discriminate Atrophy Localization |
ali abbasi | Urmia University of Technology | Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne |
Kainat Abbasi | Habib University | 3DCNN, Adam(), SGD() |
Tayaba Abbasi | Khalifa University | Dementia, machine learning |
pouneh Abbasian | Texas A&M university | Alzheimer, Neural Network, Deep learning |
farzan abbasnejad | Isfahan university of Technology | fMRI, SPM, SVM, ANN |
GHULAM ABBASS | GOVT. COLLEGE UNIVERSITY FAISALABAD, PAKISTAN | MULTI-CNN |
walid abbassi | esprim | 4MG69 |
abd elazeim abd alla mohamed nour | south east university | MRI,AD,MCI |
Zahraa Abdallah | University of Bristol | Machine learning, time series, multi-modalities |
Moloud Abdar | Institute for Intelligent Systems Research and Innovation (IISRI) | deep learning, Fusion, uncertainty quantification |
Doha Abdelaal | AinShams | Graduation project-AlZahimer MRI |
Mohamed Abdelaziz | Shenzhen university | Alzheimer’s disease, multimodal data |
REEM ABDELAZIZ | cairo university | research |
Dinar Abdelaziz | University of Mustapha Stambouli | ADNI |
Eman AbdElhalim | Mansoura University | alzeihmar |
Ahmed Abdelhameed | UThealth | Survival analysis; Machine Learning, Bioinformatics |
LEBAL Abdelhamid | ensh blida | deep learnin, attention mechanism, neural network |
Moro abdelhamid | Ain Shams University | epistasis and SNPs |
LEBAL Abdelhamid | ensh blida | deep learnin, attention mechanism, neural network |
Akram Abdelkarim | King Fahd University of Petroleum and Minerals | disease progression, time series analysis, MRI |
Shereen Abdelnabi | Humboldt Universität | Alzheimer's disease, Mprage, SWI, phase images, APOE-ε4 alleles |
Leila Abdelrahman | Charles E Schmidt College of Medicine | Deep Learning. Medical Image Analysis |
Mohamed Abdelsalam | Mansoura University, faculty of Engineering | fractal analysis, biomedical engineering |
Mohamed Abdelsamea | Birmingham City University | Deep learning; multimodal |
Tarek ABDENNAJI | ENIT | Neuron |
ines abdennaji | ENIG | biomedical image analysis |
ZERAII Abderrazek | LRBTM-Tunis ElManar University | connectivity; functional MRI; Alzheimer’s disease; biomarkers |
AmirHussein Abdolalizadeh | Tehran University of Medical Sciences | Alzheimer's Disease; Dopamine; MRI; Network |
Mehdi Abdollahpour | Amirkabir university of technology-Tehran Polytechnic | Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN |
Ahmed Abdulaal | University College London | Deep Learning, Causal modelling, Counterfactual analysis, Variational Inference |
Yousry AbdulAzeem | Misr Higher Institute for Engineering and Technology | Alzheimer, CNN, deep learning |
Ahmed Abdulkadir | University of Freiburg | classification, machine learning |
Osama Abdullah | NYU Abu Dhabi | Freesurfer, DTI |
Mohammed A M Abdullah | Ninevah University | fMRI, machine learning, AD, classification |
Azian Azamimi Abdullah | Universiti Malaysia Perlis | Alzheimer’s disease (AD), MRI, machine learning, prediction tool |
Hassan Abdulrasul | University of Toronto | neurodegeneration |
Kie Abe | Yokohama City University School of Medicine | neuroinflammation |
Masahiro Abe | Juntendo University | Alzheimer's desease |
Ali Abedi | Toronto Rehabilitation Institute | Federated Learning, Healthcare Informatics, Medical Data Analysis |
Iroshan Aberathne | Lincoln University, New Zealand | Alzheimer's disease, Neuroimages, EEG, Deep Learning |
Clement Abi Nader | INRIA | Alzheimer's disease Disease progression model Machine learning |
Tracy Abildskov | University Of Utah | Mild TBI |
Rahib Abiyev | Near East University | research |
Mohammed AboArab | Facullty of Engineering, Tanta University | deep learning, unsupervised learning, affine image registration, deformable imag |
Samaneh Abolpour Mofrad | Western Norway University of Applied Sciences | Alzheimer, Mixed effect model, Machine Learning, ventricle, Hippocampus |
vahid abootalebi | Yazd University | biological signal processing, Graph signal processing |
Tisha Abraham | GE | Deep Learning |
Yonatan Abrham | University of Massachusetts Lowell | Healthcare, deep learning |
Anees Abrol | The Mind Research Network | Multimodal, AD, MCI, Progression |
Paulsson Lowell Abrugar | Caloocan City Science High School | PET, convolutional neural network |
John Absher | University of South Carolina Greenville | TBI exosome AD morphometry |
Yasmine abu adla | RHU | AI biomedical enginerring medical imaging |
Hussam Abu Ali | student | machine learning, deep learning, Mild cognitive impairment, Alzheimer's disease |
Mohamed Abu Sheha | University of South Florida | Dementia, Machine Learning, Statistical Modeling. |
samah Abuayied | Umm Al-qurah university | AD |
Mohammed Abuelem | Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imag | APOE4, mild cognitive impairment, amyloid plaque burden |
Linah Abuhajar | King Fahd University of Petroleum and Minerals | Alzheimer, PET, MRI, Machine Learning |
ferial abuhantash | Khalifa University | Alzheimer's, Early Stage Detection, Risk Factors |
Francisco Javier Acevedo | University of Alcala | PET, MRI, CSF biomarkers |
Sreenath Acharath | University of Glasgow | Survival Analysis, Machine Learning |
Sajib Acharjee | BUET | Multimodal data Imaging Early detection |
Kalyan Acharjya | Maharishi University of Information Technology | Segmentation, Feature Extraction |
Maria Ram Achary | University of Mumbai | AD,MCI,PD |
MARIA ACHARY | University of Mumbai | AD,EMCI,MCI,LMCI,CN,PD |
Fella Achouri | AYDIN University | Alzheimer, Hippocampal, Machine Learning, Deep Learning, ADNI |
Sarah Ackley | UCSF | Alzheimers, Tau, Mathmatical Modeling |
kazuamsa adachi | SORD CORPORATION | DTI-ALPS,ALPS-index |
Noriaki Adachi | MSD. K.K. (Japan Branch of Merck) | threshold |
Nikolaos Adaloglou | INSA | segmentation, medical imaging |
Walter Adame Gonzalez | McGill University | Machine Learning, Dementia, TBI, MRI |
Jenna Adams | UC Irvine | resting state functional connectivity |
Hieab Adams | Erasmus MC University Medical Center | Neurodegeneration, high-dimensional data, brain imaging, genetics |
Tobias Adamsen | Aalborg University | Super resolution, PSNR, SSIM |
Victor Adankai | Florida A&M University | Dataset |
Bertrand Adanve | Genetic Intelligence, Inc | Whole genome sequence, Artificial intelligence, Computational analysis |
Arjun Adapa | University of Michigan | Segmentation, Image Analysis, Hydrocephalus |
Stanislaw Adaszewski | F. Hoffmann - La Roche AG | imaging, genetics |
Abdulyekeen Adebisi | Kyungpook National University, Daegu, Republic of Korea | Alzheimer's disease, dementia, MRI, PET |
aya adel | cairo university | classification |
Doyin Aderinwale | Korea Advanced Institute of Science and Technology | Visual question answering |
Avizit Chandra Adhikary | Florida State University | Disease progression, Deep Learning |
Prasad Adhiyaman | Vellore institute of technology, chennai | Ml model |
Edward Adinkrah | Charles R. Drew University of Medicine and Science | sociodemographic, diagnostic, African American, Latinx |
Katy Adler | Bar Ilan University | brain fc sc |
Anusha Adluru | UW-Madison | MRI |
Muhammad Adnan | University of Sialkot | Alzheimer’s Disease, Data Mining, Deep Learning, Healthcare, Classification |
khadar afghan | KLE's Technological University | mini project on segmentation on brain mri |
Awan Afiaz | University of Dhaka | Causal Inference, Joint Modeling, Longitudinal Data |
Vera Afreixo | University of Aveiro | Data Analysis; statistics |
Babak Afshin-Pour | BioSymetrics Inc | Biomarker, data fusion, Alzheimer |
Joel Aftreth | Bernstein Center for Computational Neuroscience Berlin | convolutional neural network |
Oluwaponmile Afuwape | Iowa State University | TMS |
Sotiroula Afxenti | The Cyprus Institute of Neurology and Genetics | radiogenomics, radiotranscriptomics, imaging, omics |
Rehan Afzal | University of Newcastle | cnn |
Sitara Afzal | Sejong University | Alzheimer's , Visualization, 3D model |
Noorul Julaiha AG | Rsjalakshmi Institute of Technology | APOE4 |
Iman Aganj | Massachusetts General Hospital / Harvard Medical School | Brain connectivity |
Amit Agarwal | USC | Tau, microglia, neurodegeneration |
Kushagra Agarwal | Indian Instiute of Engineering Science and Technlogy,Shibpur | Alzheimer's Detection |
Tanay Agarwal | Vellore Institute of Technology | GAN |
Abhi Agarwal | Health Banyan | Medical |
Varun Agarwal | N/A | The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge |
Siddharth Agarwal | University of Nottingham | brain age, chronological age, delta, radionics |
Ishaant Agarwal | BITS Pilani KK Birla Goa Campus, Sancaole, Goa | Unet, segmentation, deep learning |
Hrithik Agarwal | Malaviya National Technology of Jaipur | Alzheimer's Disease using Graph Signal Processing on Neuroimaging Data |
Snigdha Agarwal | Heritage Institute of Technology | Alzheimer’s disease; graph theory; mutual information; network model; connection |
Shruti Agarwal | JHU | fMRI |
Rashi Agarwal | CSJM University | cognitive impairment, fMRI, sMRI |
Ajay Agarwal | DIT University | Alzheimer's Disease, Progression |
Deevyankar agarwal | Higher College Of Technology | MRI,Alzhimer DIsease,MCI |
Bless Agbley | University of Electronic Science and Technology of China | Federated ML, Multimodal Medical Analysis |
Kunal Aggarwal | Amity University | Machine Learning, AD, MCI |
Anay Aggarwal | Stoller Middle School | behavior test scores |
Arshiya Aggarwal | Manipal University (MUJ) Jaipur | Alzheimer's, MCI, Early diagnosis, Convolution Neural Network |
Shivansh Aggarwal | UW Madison | Clinica |
Atefe Aghaei | Shahid Beheshti University | image processing, segmentation, feature extraction, deep learning, classificatio |
samira aghaie | Shahid Beheshti university | DTI |
maryamossadat aghili | Florida International University | AZNI Harp Alzheimer |
Asimina Aglamisi | Uiversity of West Attica | master, biomedical technology, thesis |
Abramo Agosti | IRCCS Mondino Foundation | Neurodegenerative; Multimodal; Machine-Learning |
Daniel Agostinho | Universidade de Coimbra | AD, Machine Learning |
Ambuj Agrawal | Elucidata Inc. | Project, Alzheimers prediction, IIIT Allahabad |
Vismay Agrawal | Indian Institute of Technology Madras | Medical Image Analysis |
Shubham Agrawal | OVGU | ADNI |
Christian Agudelo | University of Miami Miller School of Medicine | DTI, microstructure integrity, gray matter diffusivity, cognitive decline |
Yésika Alexandra Agudelo Londoño | Universidad de Antioquia | dFC, resting state, based on task |
Carlos Aguila | University of Pennsylvania | PLINK, machine learning, Alzheimer's Disease, biomarkers, targets |
Jorge Aguilar | District University Francisco Jose de Caldas | Machine Learning Alzheimer disease |
Ramiro Aguilar Ordaz | National Polytechnic Institute | Alzheimer, convolutional neural network, digital image processing |
Unai Aguilera | Mondragon University | PET, MRI, HSV |
Rubén Aguilera García | Granada University | CNN, Alzheimer detection, deep learning. |
Juan Aguirre | Universidad Nacional de Colombia | U-NET, deep-learning, brain |
Ifeanyi Aguocha | Cyprus International University | Deep Learning, medical diagnosis, Neural networks |
Md. Martuza Ahamad | Bangabandhu Sheikh Mujibur Rahman Science and Technology University | Deep learning; MRI; Medical image processing; |
Kawser Ahammed | Jatiya Kabi Kazi Nazrul Islam University | alzheimer |
Meysam Ahangaran | Mazandaran University of Science and Technology | Data Readiness |
Zoheb Ahasan | IIT Delhi | AD, Prediction |
Jamila Ahdidan | Aarhus University | AD, hippocampus, prediction |
Jayshree Aher | MIT World Peace University, Pune | Machine Learning. Data Analyti |
Asha Aher | San Jose State University | Machine Learning Alzhmeirs |
Rauf Ahmad | Uppsala University, Sweden | High-dimensions; Multivariate statistics; Linear models, Dependence measures |
Shakeeb Ahmad | Indiana University | Alzheimer's Disease, Cerebral Amyloid Angiopathy |
Muhammad Faraz Ahmad | Riphah International University Faisalabad | Alzheimer’s Disease |
Ijaz Ahmad | Chosun University | Privacy-preserving deep learning model, medical image analysis |
Fayyaz Ahmad | UNIVERSITY OF GUJRAT | SPM, FMRI |
Hessam Ahmadi | Islamic Azad University, Science and Research Branch | fMRI, Non linear, graph theory, functional connectivity |
Kourosh Ahmadi | Computing and Engineering | Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net |
Fatemeh Ahmadi | Amirkabir University of Technology | Alzheimer's disease-Ricci flow-Conformal Geometry |
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 |
Alaleh Ahmadianshalchi | Washington State University | Machine-Learning |
Maryam Ahmadzade | Simon Fraser University | MCI, Machine learning, AD, Progression, Prediction |
soheil Ahmadzadeh | Tehran University of Medical Science | Alzheimer,machine learning |
SLAM AHMD | UNIVERSITY OF TLEMCEN | ALZHEIMER, Brain disease, Deeplearning |
Ayesha Ahmed | University of Edinburgh | ALZHIEMERS,CNN,MACHINE LEARNING,MRI,PET |
Sabbir Ahmed | Jiangnan University | CNN, Alzheimer's |
zubair ahmed | Nust university EME college Pakistan | Early Alzheimer Detection |
Kamran Ahmed | Daffodil International University | AD detection |
reem ahmed | KAU | Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Ear |
Faseeh Ahmed | IIT Madras | Alzheimer's Disease, Deep Learning |
Mahinour Ahmed | Faculty of science | Access to data |
USAMA AHMED | Riphah International University | Machine Learning |
Mughis Ahmed | UOG | Multiple sclerosis |
Fahad Ahmed | Szabist University | computer vision, alzheimer’s disease, brain, mri |
Mohammed Ahmed | Sudan international university | Alzheimer's, detection,MRI, |
ismail ahmed | University of Anbar | BRAIN ANALYSIS |
Juweiriya Ahmed | Western University | Psychosis, AD |
Tahera Ahmed | Bond University | Alzheimer's, Early Detection, Prediction |
Khandakar Tanvir Ahmed | University of Central Florida | mutation, MRI image, Alzheimer |
zubair ahmed | Nust university EME college Pakistan | Early Alzheimer Detection |
Tasnim Ahmed | Islamic University of Technology | Biomedical Image Processing, Neural Networks, Machine Learning |
MOHA AHN | GONGTO | Alzheimer's Disease |
Yong Yeol Ahn | Indiana University | network, multi-omics, data integration |
Minkyu Ahn | Handong Global University | Alzheimer's Disease, Random Forest, Magnetic resonance imaging |
Kyungmin Ahn | Keimyung University | SRVF, shape analysis |
Mobassir Ahsan | East West University | hippocampus, semantic segmentation, deep learning |
Narendra Ahuja | Univ of Illinois at Urbana-Champaign | Machine learning, Representation Learning, Computer Vision |
Marco Aiello | Fondazione SDN | Diaschisis, PET, MR, connectome, brain connectivity |
David Airey | Eli Lilly and Company | NfL hippocampus biomarker |
Zou Aixiao | Beijing University of Technology | data mining,bioinformatics and brain science |
zainab aizaz | Maulana Azad National institute of technology | CNN, ANN |
Michael Aizenshtadt | University of Waterloo | machine learning, educational |
Santiago Aja-Fernandez | Universidad de Valladolid | Diffusion MRI, anisotropy measures, robust estimation |
Sonali Ajankar | Indian Institute of Technology (IIT-BHU), Varanasi | Medical Image processing |
Nurefşan AK | Konya Technical University | Teknofest, Graduation project |
NIBIN BIN RIYAS AK | VIT | ADNI |
Hiroyuki Akama | Tokyo Institute of Technology | harmonization, resting-state functional connectivity, Deep learning |
Go Akamatsu | NIRS-QST | Tau PET analysis |
abrar akas | Jordan university of science and technology | `PARKINSON |
Nasrin Akbari | University of Victoria | ADNI-GO |
Reza Akbari Movahed | Tarbiat Modares University | Alzheimer,Machine Learning, Deep Learning, MRI |
Hadi Akbari-Zadeh | Mashhad University of Medical Science | Brain Image, Age, MRI |
Erdoğdu Akça | Marmara University Pendik Training and Research Hospital | MCI, ALZHEIMER'S DISAESE |
Osman Akcatepe | University of Hildesheim | Alzheimer's Disease, Spiking Neural Networks, fMRI, Artificial Intelligence |
Adeem Akhtar | Forman Christian College University (A Chartered University) | Longitudinal, Progression, Classification, Prediction |
Shoaib Akhter | KFUEIT | Alzheimer detection using SVM and LSTM |
Vasily Akimov | HSE | Alzheimer, Neurovisualization |
Grace Akindele | Hebei University of Technology, China | Alzheimer's diseases, autoencoder, Neuroimaging |
umit akkaya | gebze technical university | vision transformer |
Essang Akpan | University of Pittsburgh | lateralization, asymmetry |
Mohammad Akradi | Shahid Beheshti University | OSA, AD, MCI |
Muhammad Haroon Akram | Bahria University Islamabad | ALPHA |
Farhan Akram | Khalifa University | Alzheimer, early prediction, convolutional neural networks, deep learning |
samina akram | ucp | DTI, Alzheimer's disease ,DTI images |
Wasim Akram | East West University | detection, deep learning, early-onset Alzheimer, mri |
Mina Akrami | Bahonar | MRI images |
Alexander Aksenov | UCSD | metabolomics |
IBRAHIM AKSIT | Gazi University | Anomaly,Detection,Alzheimer,advanced,deep,learning, model |
Leon Aksman | USC | test |
Leon Aksman | UCL | structural MRI, longitudinal analysis, imaging genetics |
Mari Aksnes | University of Oslo | Biomarker course, statistical workshop, UGOT/UCL |
Fatma Dila AKSONGUR | Yeditepe University | alzheimer disease, artificial intelligence |
İbrahim Melih Aktaş | Bogazici University | dementia alzheimer transition clustering |
Shamima Akter | George mason University | Deep learning |
PRATHYUSHA AKUNDI | International Institute of Information and Technology Hyderabad (IIITH) | Registration with deep learning |
Lior Al | Technion | Unsupervised learning |
MD MAMUN AL AMIN | University of Queensland | Hippocampus, Subiculum, CA1, Dentate Gyrus |
Roba Al Majzoub | Mohamed Bin Zayed University of Artificial Intelligence | Alzheimer's, Detection, Deep Learning, Computer vision |
Hasan Al Marzouqi | Khalifa University of Science and Technology | deep learning, residual networks, constitutional networks, SNPs |
Mariam Al Moussawi | Lebanese International University | AD, CNN, SVM, MRI DATASET, ALZHEIMER EARLY DETECTION |
Talib Al Shehhi | DMU | ANN; AI; Cognitive Attribute; Functional Attribute; ML |
Obada Al Zoubi | Laureate Institute for Brain Research | Machine Learning, resting-state fMRI, reproducibility |
Hamada Al-Absi | Hamad Bin Khalifa University | Alzheimer Disease, prediction, deep learning |
Bassam Al-Fatly | Charite University Medicine | fMRI, DTI, connectivity, severity |
Mohammed Isam Al-Hiyali | UTP | diagnosis model |
Ali Al-Nuaimi | Plymouth University | brain disorder |
Khaleel Al-Rababah | DAKOTA STATE UNIVERSITY | DWT |
SAMI AL-SHARABI | UNIVERSITI TUNKU ABDUL RAHMAN | deep learning CNN Alzheimer's disease prediction classification |
Aws AL-ZARQAWEE | Universiti Malaysia Pahang | CNN,Softmax |
Heba AL.Marwi | Sana'a University | Feature selection Multi-objective optimization |
Adnan Alahmadi | King Abdulaziz Univeristy | rsfMRI AD Funcional Connectivity |
Cansu Alakus | HEC Montreal | brain regional covariance based on covariates |
FADHL ALAKWAA | MICHIGAN UNIVERSITY | drug discovery , drug repurposing |
Tanvir Alam | Hamad Bin Khalifa University | Alzheimer's Disease; Mild Cognitive Impairment; SNP; Machine Learning |
Mohammad Alam | Ulster University | assignment |
Aftab Alam | Hazara university mansehra | no |
Raquib-ul Alam | University of Sydney | longitudinal,mri,mri,pet,genetic |
Md Ashad Alam | Tulane University | Robsut kernel, Machine lerning |
FARIHA ALAM | university teknologi malaysia | neuro imaging, data process, neuroscience, |
Hussein Alameri | Ataturk University | Data Fusion |
Wang Alan | WTU | deep learn |
Imad Alanbari | university of kufa | perdiction analysis |
Saif Alansari | UTeM | deep learning , Alzheimer's disease , AI |
Oscar Alarcon Palomar | UNED | U-Net |
Teresa María Alarcos Tamayo | WstartupC | ML, AI, Alzheimer |
Maitha Alarjani | King Faisal University | Alzheimer's disease, brain Signals, Deep learning, 3D-CNN, Neuroimaging |
Maitha Alarjani | King Faisal University | Alzheimer's disease, brain Signals, Deep learning, Machine learning, CNN |
Serdar Alasu | Inonu University | Semantic Segmentation, Adversarial Learninng |
Alessandro Alati | Università degli studi Roma Tre | Graduation thesys University Rome |
Jessica Alatorre-Flores | Universidad Nacional Autónoma de México | Computer Vision, Machine Learning, SVM |
Abbas Alatrany | Liverpool John Moores University | GWAS, Transfer learning, Alzheimer’s disease |
dara alavi | ucl | Diabetes |
Deborah Alawode | University College London (UCL) | Biomarkers |
Raed Alazaidah | Universiti Utara Malaysia | Longitudinal data |
BRUCE ALBALA | UC IRVINE School of Medicine | Cognition, AD |
Hadeel Albalawi | Univeristy of Aberdeen | Alzheimer’s disease, attribute selection, classification, data mining, dementia, |
Ángel Alberich Bayarri | Quibim | Brain atrophy, MRI, Artificial Intelligence, longitudinal analysis |
Ahmed Albishri | University of Missouri - Kansas City | MRI, Segmentation, Deep learning |
RODRIGO ALBITER CAMPUZANO | UNIVERSIDAD AUTONOMA DEL ESTADO DE MEXICO | rs-fMRI, marker, mild cognitive impairment |
Philippe Albouy | Université Laval | Morphometry |
Tara Albrecht | Copenhagen Business School | gene, alzheimer, analyzing |
Joey Albrecht | USC Keck School of Medicine | inflammation, pathology, conversion |
Jack Albright | Nueva School | Machine Learning, Student, TADPOLE |
Ruth Alcala Lozano | National Institute of Psychiatry Ramon de la Fuente | Mild Cognitive Impairment. rTMS. Neuromodulation. |
Sarael Alcauter | Instituto de Neurobiología UNAM | sulcal width, Alzheimer, |
khaled aldahish | the german university in cairo | Machine Learning, Alzheimer, neurodegenerative |
Faten Aldhafeeri | University of Hafr Albatin | cortical thickness, grey matter, white matter |
Rana Aldisi | Uniklinikum Bonn | genetic-risk, PRS, associations, predictions |
Turki Alelyani | Najran University | machine learning, Alzheimer, MRI |
John Sahaya Rani Alex | Vellore Institute of Technology | Alzheimer's |
Bomin Alex | Shandong University | fMRI, dynamic functional connectivy |
Robert Alexander | Banner Alzheimer's Institute | CDR |
PANAGIOTIS ALEXOPOULOS | University of Patras | neuropsychiatric symptoms, AD, activities of daily living |
Ahmed Samir Alfaar | Charite medical university - Berlin | Brain Cancer, Alzheimer's |
Fidel Alfaro Almagro | University of Oxford | Defacing |
Joshua Alfred | VIT Chennai | machine learning |
Jaafar Alghazo | Prince Mohammad Bin Fahd University | Alzheimer; Image Processing; Deep Learning; Medical Diagnosis |
Afnan Alhassan | Shaqra University | sMRI, AD, OTSU segmentation, EFEHO, DA-MIDL. |
Lea Alhilali | Barrow Neurological Institute | Diffusion tensor imaging |
rachid Alhyane | FSC Ben M'sik | Deep Neural Network, Detection Alzheimer’s Disease |
Aya Ali | Nile university | Master project, data fusion, disease detection |
shahad ali | Technical College of Management | MRI dataset |
Ameen Ali | Tel Aviv University | MRI , Super Resolution , alzheimer’s detection |
Waqar Ali | UCB | disease clustering, progression |
Muhammad Ali | Washington University in St. Louis | Amyloid, Imaging, GWAS, genetic, biomarker, AD. |
doaa Ali | University of kentucky | Preclinical AD - amyloid PET images_ Cognitive function tests |
Nawazish Ali | Istanbul Medipol University | Early stage alzheimer prediction |
Mohd Hanafi Ali | The University of Sydney | Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive |
Basharat Ali | UET PESHAWAR, Pakistan | Deep learning, Machine learning |
Samr Ali | Concordia University | machine learning, hidden markov models |
YAQEEN ALI | Comsats university of Islamabad Lahore campus | White matter hyperintensities,ADNI,Segmentation |
Obaï Bin Ka'b Ali | Concordia University | functional integration, multiscale dialogue, intrinsic networks |
Nyurbek Aliev | None | Normal-pressure hydrocephalus, brain atlas, segmentation |
Hasna Noor Alifa | Gadjah Mada University | Alzheimer Disease, Therapeutical Nuclear Medicine |
Sadiq Alinsaif | University of Ottawa | classification; machine learning; deep learning; feature extraction |
ahcen aliouat | university badji mokhtar of annaba algeria | deep learning, alzheimer |
milad alipour | shahid beheshti university of medical science | Convolutional neural network GCNN Alzheimer’s disease classification |
mohammadreza alizadeh | university of guilan | Alzheimer's disease |
mohammadreza alizadeh | university of guilan | saeed1500 |
farzad alizadeh | tums | fmri,deep learning |
Shorouq AlJarad | Jordan University of Science and Technology | MRI, Deep Learning, CNN |
Zahra Alkabbaz | University of Leeds | Alzheimer explainable classifier |
Ghadeer Alkofahi | 3 | Alzheimer |
Margaret Allard | University of Arizona | Diagnosis, Algorithms, Image Analysis |
Shanmukh Alle | IIIT Hyderabad | Machine Learning, Disease diagnosis |
Gert-Jan Allemeersch | Vrije Universiteit Brussel/ UZ Brussel | MRI, biomarker, hippocampus, MTA |
Michael Allen | University of Exeter | synthetic gan gtn |
Janerra Allen | University of Maryland Baltimore County | biomarkers, Alzheimer's, dementia |
Brandon Allgood | Integral Health | tau vaccine phII clinical trial design |
bob alllen | kunming university of science | study |
Randa Almaktoum | Massachusetts General Hospital | WM/GM Ratio AD |
Badar Almarri | King Faisal University | AD, Machine Learning, Feature Selection |
Badar Almarri | King Faisal University | AD, Machine Learning, Feature Selection |
fatema almawed | damascus | MRI images of alzaheimer disease |
Ina Almdahl | Oslo University Hospital | Cerebrospinal fluid Amyloid Depression |
Mohammad Almerri | Indiana University Purdue University Indianapolis | Explainability, Aritifical Intelligence |
Hannes Almgren | Ghent University | Effective connectivity, structural connectivity, cognition |
Ibrahim Almubark | CUA | cognitive, neuropsychological |
Fahad Almuqhim | Florida International University | Alzehimers, brain disorders |
AMAL ALNASSER | KFSH | BREAST |
davide aloi | university of birmingham | alzheimer, deep learning |
Mohammed Alom | Cork Institute of Technology | Machine learning, Deep Learning, |
Ana Claudia Alonso Freitas | UC3M | Longitudinal analysis. Structural imaging. |
eya aloui | enstab | data set predict alzheimer |
Shannon Alptekin | Stony Brook University | machine learning, clinical research, Alzheimer's Disease, pathophysiology |
Afnan Alqarni | Wayne State University | Alzheimer’s disease |
Hussain AlQatari | Misk Foundation/ General Assembly | student data research dementia prediction machine learning modeling deep neural |
Saif Aldeen AlRyalat | University of Jordan | Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy. |
Yousif Alsadah | Massachusetts Institute of Technology | Computer Vision |
Omar Alsaif | Northern Technical University | hicampus, MRI, Alzheimer classification |
Thomas Alscher | University of Copenhagen | Image registration; Topology change |
Lama Alshabib | Lean Business Services | classification |
Hind Alshammari | university of Hail | Alzheimer's disease, brain imaging, Deep learning, Image classification, 3d CNN |
Aamna AlShehhi | Khalifa University of Science and Technology - MIT | Autoencoder, Multi-model deep learning , AD risk factors |
fatima alshehri | KSU | Ff19811981 |
Haifa Alshehri | Taif University | early diagnosis ,Alzheimer , Classification |
Duncan Alston | University College London | p-tau 181 |
Israa Alsulaimi | Kennesaw State University | Machine Learning, Course Project |
Muhammed Althaf | Cochin university of science and technology | MTECH project, Alzheimer disease early detection |
Liora Altman-Sagan | Northwestern University | Alzheimer's disease probability, Bayesian inference |
Andre Altmann | University Collage London | Imaging Genetics, Next Generation Sequencing |
Lucca Altomani | Universidade Paulista (UNIP) | Alzheimer |
Daniele Altomare | University of Geneva | biomarkers, Alzheimer, neuroimaging |
Feras Altwal | Rosalind Franklin University | Alzheimer's disease |
Erind Alushaj | Western University | QSM, MRI, Brain iron |
Osahon Aluyi | Leeds Beckett University | 2VF46 |
Chelsea Alvarado | University of Virginia | deep learning models, research, neuroimaging genomics project |
David Alvarez | Asturias Central Hospital | segmentation, hippocampus, deep learning, alzheimer |
Cláudia Alves | Universidade do Minho | MRI, Entorhinal cortex, Hippocampus, AD |
Carlos Felipe Alves | University of São Paulo | Alzheimer's disease; Convolutional neural networks; Deep learning; Diagnosis; Mi |
Paulo Alves | Universidade do Minho | MRI, MCI |
João Alves | Universidade do Minho | AD; MCI; Machine Learning; study grant. |
siti nur atiqah alwi | university malaya medical centre | texture analysis and key features |
Maha Alwuthaynani | University of Bristol | deep learning, transfer learning, Machine learning, medical images,Alzheimer's |
Esraa Alyoubi | king abdulaziz university | Machine Learning , Brain template ,hippocampus,Convolution neural network. |
Renad Alzahrani | King Abdulaziz University | Machine learning- algorithms |
Eghosa Amadin | Stanford University | diagnosis |
Yahyah Aman | University of Oslo | Alzheimer’s disease, mitophagy, biomarkers |
Ali Amanlou | Amirkabir University of Technology | machine learning , artificial intelligence , biomedical |
Fatemeh Amanzadehsalut | Alzahra | Alzheimer’s disease |
udaya kumar ambati | IIT Hyderabad | Deep Learning, GAN, Transformers |
SAI SANTOSH AMBATI | NITK SURATHKAL | Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique |
Felix Ambellan | Zuse Institute Berlin | Disease classfication, Statistical shape analysis, Manifold valued statistics |
Mangal Ambi | D.Y.Patil.International.University,Pune | Alzheimer, Parkinson, Brain , Neurodegenerative |
Ananthan Ambikairajah | University of Canberra | Menopause, Ageing, Neuroimaging |
LAMYA AMGHAR | INPT | CBIR,capsnet |
Elena Amigo | University of Aberdeen | Volumetry, comedication |
Manish Amin | University of Florida | fMRI, DWI |
Engr. Amin | COMSATS University Islamabad - Wah Campus | volume |
Sadia Amin | BRAC University | AD,Neural network |
yahiaoui amina | Blida university | MRI/PET |
ACHAIBOU Amina | Ecole national polytechnique d'alger | TEP , detection , neurodegenrative deseas |
Eriza Aminanto | University of Indonesia | classification, alzheimer |
Kouda Amine | DZ | ADNI |
Hamed Amini | Tehran | 913151001HaA |
Morteza Amini | Institute for Cognitive Science Studies | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Nasrin Amini | Shahid Beheshti University of Medical Sciences | Alzheimer , MRI, classification |
Yasin Amini | khuarazmi university | Prediction, ANN |
Morteza Amini | Shahid Beheshti University | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Dan Amir | The Hebrew University of Jerusalem | rest-state fMRI, functional tradeoffs, functional connectivity |
Fazel Amirvahedi | University of Tehran | blood biomarker |
Osama Amjad | Bahria University | AD |
Inge Amlien | Centre for lifespan changes in brain and cognition. Universitetet i Oslo | Lifespan, AD |
Priscilla Amofa Sr. | University of Florida | iADLs, ECog, FAQ, |
Nicola Amoroso | Università degli studi di Bari | Complex networks, deep learning, Alzheimer, brain connectivity, brain aging |
Joan Amos | University of Electronic Science and Technology | AD, rs-fMRI |
Suleiman Ampah | University of Ghana | Machine learning, Classifiers, Detection |
ZAREEN AMTUL | Independent Rsearcher | Alzheimer's disease, diagnosis |
Xiao-Lin AN | Hebei University | Fine classification |
Lijun An | National University of Singapore | ML, AD |
Anjana Anand | SSN College of Engineering | Deep learning, Data Augmentation, GANs, medical image |
Samarth Anand | Meerut Institute of Engineering and Technology | Research, Machine Learning, Thyroid Detection |
Chaitali Anand | University of California, San Francisco | PET, atrophy, amyloid, tau, longitudinal, computational |
Meenakshi Anbukkarasu | San Jose State University | Predicting conversion from MCI to AD |
Sami Andberg | University of Eastern Finland | Alzheimer's disease, early detection, machine learning |
Loretta Anderson | University of Maryland, Baltimore | APOE, Alzheimer's, Epigenetics |
Cole Anderson | University of Washington | WMH, Imaging |
Spiffy Anderson | UCSF | Research, neurosurgery, cool, jazz, fun, vibes |
John Anderson | Carleton University | multishell, NODDI, aging, cognitive reserve |
Deanti Andew | Jiamusi University | MCI classification algorithm |
Christina Andica | Juntendo University Graduate School of Medicine | Diffusion MRI, Free-water imaging |
Rene Andrade Rey | University of Alcala de Henares | vbm, alzheimer |
Daniel Andreani | UBA | AD |
Shea Andrews | Icahn School of Medicine at Mount Sinai | Alzheimer's disease; mitochondria; genetic variation |
Sabina Andya | University of Indonesia | PET scan datasets |
Azhar Anees | University of westminster | Quantum Machine Learning, Alzheimer's, Automation, MRI |
Ayush Aneja | Thapar Institute of Engineering and Technology | Machine learning project |
Izunna Aneke | University College London | machine learning, msc, mri |
Farhan Angan | BRAC University | Alzheimer, Deep learning |
Farhan Angan | BRAC University | Alzheimar, Deep learning |
Spyros Angelopoulos | Tilburg University | AI, neural networks |
Ferry Angkoso | ITS | CNN, multi feature |
AUGUSTO ANGUITA-RUIZ | ISGLOBAL | EXPOSOME MIXTURE EXPOSURES MODELLING |
Pham Anh | UET | rnn |
Ahmadi Anis | Faculty of sciences of Tunis | Alzheimer's disease, machine learning |
Sule Anjomshoae | Umeå University | XAI GNN AD |
Nafisa Anjum | Chittagong University of Engineering & Technology | Alzheimer's, applied machine learning |
Zonera Anjum | National University of Computer and Emerging Sciences | Dementia, Alzheimer |
Farhan Anjum | University of Management and Technology | CNN |
Nick Ank | scetech | image to image translation, GANs |
Wang Anlan | WUhan Textile University | deep learning, Alzheimer's |
Jagadeeswara Rao Annam | Gudlavalleru Engieering college | Alzeimers progression satges |
Pardha Saradhi Reddy Annapareddy | Kansas state university | Alzheimer’s, Deep learning, CNN |
Shahab Ansari | GIKI | automatic brain segmentation, Alzheimer's disease, machine learning |
MD SHAMSHAD ANSARI | Jadavpur University | Research, Master's Degree |
FAIZAH ANSARI | MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA | RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION |
Aamir Ansari | Univ.AI | MachineLearrnig Research Study Artificial Intelligence |
Luigi Antelmi | INRIA | joint analysis; biomerkers |
Georgios Antonopoulos | FZ-Juelich, Institute of Neuroscience and Medicine | Gray matter volume, age prediction |
Febin Antony | Christ (Deemed to be University) | MRI, PET, Alzheimer's Data, Gray Matter. CSF |
Arima Valan Immanuel Antony Dhanasekaran | Indian Institute of Information Technology, Design & Management | Generative Adversarial Networks, Deep Super Learners, |
Diana Antyukhova | Universidad de Sevilla | BIOMEDICAL IMAGE |
Nmachi Anumba | Georgia Institute of Technology | Alzheimer's disease, MR imaging, classifier |
Muhammad Anwarul Azim | BRAC University | Feature selection, Diagnosis, Convolutional Neural Network, Optimization |
Muzamil Anwer | Bahria University | 335630 |
Xiang Ao | Rutgers University | Database Systems for Data Science – CS527 |
yueyuan ao | UESTC | image registration, deep learning |
Mosbah Aouad | University of Illinois Urbana-Champaign | Uncertainty, Disease Progression Modelling, Machine Learning |
Mazin Aouf | Western Sydney University | Medical Research Datasets |
Li Yew Aow Yong | Universiti Teknologi Malaysia | classification |
Jeetashree Aparajeeta | VIT | alzheimer's disease |
Antonino Aparo | University of Verona | Gene SNPs GWAS |
Xander Apicella | Cal Poly, SLO | Alzheimer's Disease, fMRI, MRI, Brain Imaging, Early Detection |
CLAUDIA PATRICIA APONTE RESTREPO | UNIVERSIDAD DE ANTIOQUIA | ALZHEIMER'S DISEASE, GENETIC RISK, DYNAMIC CONNECTIVITY |
Chatchawit Aporntewan | Chulalongkorn University | Microsatellite markers, Alzhemimer's disease, mild cognitive impairment |
Liana Apostolova | IU | AD biomarekrs |
Abhishek Appaji | B. M. S. COLLEGE OF ENGINEERING | Machine learning, Alzheimer disease, stress, MR |
Eline Appelmans | Foundation for the National Institutes of Health | PPSB |
Vincent Appiah | University of Ghana | Neuroimaging,Machine Learning,Alzheimer |
Dace Apsvalka | Medical Reseach Council | Hippocampus |
Domenico Aquino | Fondazione IRCCS Istituto Neurologico Carlo Besta | Morphometry, PET |
Arsen Arakelyan | Institute of Molecular Biology NAS Armenia | spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis |
Itsasne Arangoa | Mondragon Unibertsitatea | MRI preprocessing |
Kumarran Arasaretnam | Birkbeck University | Alzheimer's |
Whemberton Araujo | CDI | PET FDG Dataset Normal Subjects |
Gilderlanio Araújo | Federal University of Pará | association networks, non-coding RNA, eQTL, population genomics |
Jose Aravena | Yale university | psychosocial; education; biomarkers; APOE-e4 |
Damiano Archetti | IRCCS Centro San Giovanni di Dio-Fatebenefratelli | computational models |
Zaniar Ardalan | University of Arizona | Mild Cognitive Impairment, Convolutional Neural Network |
Babak Ardekani | Nathan Kline Institute | MRI; Corpus callosum; shape analysis; |
Peter Ardhianto | Asia University Taiwan | deep learning, clara, multi-task, computer vision, alzheimer |
Eleni Aretouli | University of Deusto | intraindividual variability |
Konstantinos Arfanakis | Illinois Institute of Technology | diffusion, DTI, registration |
Konstantinos Arfanakis | Illinois Institute of Technology | mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker |
nouha arfaoui | University | MCI |
Ali Ozgur Argunsah | University of Zurich | AD detection, convolutional neural networks |
Juan A. Arias | University of Santiago de Compostela | Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning |
Kfir Ariel | Tel Aviv University | thesis, research methods, neurodegenerative diseases |
Bushra Arif | Ned University Of Engineering And Technology | Machine Learning , Alzheimer's Disease Detection, Machine Classifiers |
Bushra Arif | Ned University of engineering and technology | CT Scan, Alzheimer's Disease, Research |
Kazuto Arihara | The University of Tokyo Hospital | I will write it later. |
Taylor Ariko | University of Miami | Alzheimer's disease, hearing |
Taylor Ariko | Florida State University | DTI, Alzheimer's Disease, connectivity |
Kosei Arima | Balochistan Univeristy of information and technology | Alzheimer's, MRI, Detection, medical |
Ivan Arisi | Fondazione EBRI "Rita Levi-Montalcini" | Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis |
Magnolia Ariza-Nieto | epIAWELL LLC | epigenetics, personalized, early diagnostics, obesity, metabolism, liver |
Hanieh Arjmand | University of Toronto | Alzheimer; Machine Learning, Medicss |
Hanieh Arjmand | University of Toronto | Alzheimer; Machine Learning, Medicss |
Seyed Amir Arjmand | university of Tabriz | Alzheimer's disease |
Lukas Arlauskas | Kaunas University of Technology | Machine Learning, Artificial Intelligence, Software |
Steven Armentrout | Parabon Computation | MDR, epistatis, cloud computing |
Rui Armindo | Hospital Beatriz Ângelo | ASL; Neuroimaging; Research; Teaching |
Carmel Armon | Tel Aviv University School of Medicine /Shamir (Assaf Harofeh) Medical Center | X chromosome-mediated risk, LOAD |
Matthias Arnold | Helmholtz Zentrum München | gaussian models, data integration, network analysis |
Thomas Arnold | University of Pennsylvania | Cortical thickness, cortical atrophy |
Victor Arnt | UFRGS | early stage, mri, pet, Biological Markers |
Ashok Arora | ABV - Indian Institute of Information Technology and Management, Gwalior | interpretability, healthcare |
Jai Arora | Netaji Subhas Institute of Technology, New Delhi | Na |
Amit arora | ptu | MRI, Mammography, image processing, Deep learning, machine learning |
ibad arrasyid | none | mri,brain |
Marlene Arredondo | UCSD | Research |
Fernando Arreola | Universidad de Monterrey | Alzheimer's disease, MCI, machine learning, classification, asymmetry, atrophy |
Marianne Arriola | University of California, Santa Barbara | modeling, connectivity, progression, structural, functional |
FARAMIDA ARSHAD | MULTIMEDIA UNIVERSITY | fara |
Meltem Arslan | Bogazici University | dementia alzheimer transition clustering |
naciye nur arslan | dumlupinar university | deep learning, alzheimer disease |
naciye nur arslan | dumlupinar university | deep learning,alzheimer |
Emilio Artacho-Perula | University of Castilla-La Mancha | Alzheimer, Euclidean distances, MRI |
Oswaldo Artiles | Florida International University | human brain networks, dynamics, Alzheimer, network analysis |
Madhumitha Arul | Lakehead University | Dementia, Deep Learning, CNN, DQN model, AI techniques, Alzheimer's |
Eivind Arvesen | N/A | machine learning, deep learning, ai, neural networks |
Ida Arvidsson | Lund University | Neuroimaging, deep learning |
S Arvind | Indian Institute of Information Technology, Nagpur | Alzheimer's Disease, Mild Cognitive Impairment, Deep Learning, ADNI |
Nikhilanand Arya | Indian Institute of Technology Patna | Deep learning, Multimodal |
Akhilesh Arya | Manipal University Jaipur, Rajasthan India | Alzheimer's Disease, AD, MCI, Neuro-degenerative |
Samyam Aryal | SRM Institute of Science and Technology | Deep learning, Image enhancement, Filters |
Amirhossein Arzani | Northern Arizona University | hemodynamics, blood flow, perfusion |
Nibal Arzouni | USC | AD, Imaging genetics, |
Mohammad Asadi | Babol Noshirvani University of Technology | Diagnosis of Alzheimer's disease |
Fatemeh Asadi | Tehran universityof medical sciennce | Alzheimer, machine learning |
Amirhossein Asadian | Sharif University of Technology | Cognitive decline |
mahdi asadolaahi | kermanshah university of medical science | ADAS, various neuropathological subgroups of Alzheimer’s |
bahareh asadpour | ferdowsi university of mashhad | research, sMRI, AD, alzheimer's disease |
Babak Asadpour | Shahid Beheshti University of medical sciences | Alzheimer's disease, magnetic resonance imaging, white matter hyperintensities |
Joseph Junior Asante | University of Arkansas at Little Rock | Diagnosis of Alzheimer's disease |
Maame Gyamfua Asante-Mensah | Skoltech | Neural Networks, Classification |
adsad asdhkjashd | Stanford | ML AI |
Moslem Asgari | ATA | Statistics |
calvin Ashe | Maynooth University | Final year project; Students; Covid-19 |
Wes Ashford | Stanford | leptin, Alzheimer, blood, dementia |
Miriam Ashford | NCIRE | Clinical |
Olayide Ashiru | JHU Applied Physics Laboratory | precision medicine, Alzheimer's |
vahid Ashkani Chenarlogh | Islamic Azad University Science and Research Branch | Super Resolution, Neural Networks, deep learning, image processing |
rakhi ashok | IGNOU | ML |
Naba Ashraf | GCUF | ASD |
Azhaar Ashraf | Imperial College London | Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin |
Amir Ashraf-Ganjouei | Tehran university of medical scienses | Machine learning, Neural network |
mona ashtari | polytech | Alzheimer’s disease- MCI- classification |
Usman Asim | UNOMIC | lzheimer's Disease Detection Classification |
mohamadreza askari | raja | machine learning |
Breton Asken | Brown University | risk score, conversion, multivariate base rate, amyloid, ATN |
Brianna Askew | Alzheimer's Disease Cooperative Study | dementia, intervention, risk factors |
Eric Aslakson | Poiema, LLC | adni transmart |
farah aslam | University of engineering and technology,lore | research |
Babak Aslani | George Mason University | causal learning, Mixed-type data |
Vahan Aslanyan | USC | ADNI |
Toshihiko Aso | Kyoto University Graduate School of Medicine | BOLD signal, cerebral blood flow, venous drainage |
Amanullah Asraf | KUET | AD, CNN, DSA- 3D CNN |
Muhammad Amirul Aiman Asri | University Malaya | IQA, MRI |
Shervin Assari | Charles R Drew University of Medicine and Science | race, ethnicity, socioeconomic status, education, cognitive decline |
Ola Assim | Mosul university | Alzheimer’s disease (AD); mild cognitive impairment (MCI); AD continuum |
Ayoub Assmi | Ecole Nationale Supérieure d'Arts Et Métiers | Alzheimer's disease - MRI images - machine learning-artificial intelligence |
arman atalar | Eskisehir Osmangazi University | deeplearning, alzheimer disease, apoe4 |
Meltem ATAY | MIDDLE EAST TECHNICAL UNIVERSITY | Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers |
Melvin Selim Atay | Middle East Technical University | Deep Learning, Explainability |
Meltem Atay | Middle East Technical University | Deep Learning, Convolutional Neural Networks, Effective Connectivity, |
Abdel Malek ATCHI | Ecole Nationale Polytechnique | Alzheimer, machine learning, classification |
Tushar Athawale | University of Utah | ensemble, uncertainty visualization |
efi Athieniti | Cyprus Institute of Neurology and Genetics | data integration; |
HITESH ATHWANI | UNIVERSITY OF LUCKNOW | MACHINE LEARNING, PREDICTION Alzheimer |
Umit Atila | Karabuk University | deep learning, classification, automatic disease diagnosis |
Ethan Atlan | Madison International School | AD, MRI, PET, beta-amyloid, genetic treatments |
Selamawet Workalemahu Atnafu | university of Bologna | Neurological disorder, Machine Learning, Alzheimer |
Shamitha S Attur | Amrita Vishwa Vidyapeetham | Medical diagnosis, Fuzzy classifier, Machine Learning, Alzheimer's Disease |
Arnaud ATTYE | Grenoble University Hospital | machine learning ; Structural MRI ; phenotype |
Alessia Atzeni | Queen Square Analytics | segmentation, atlas building, brain ageing |
Yeuk Lai Au | The Chinese University of Hong Kong | Neurology, bioinformatics |
Michel Audette | Old Dominion University | hippocampus, atrophy, prognostic biomarker |
Joseph Austerweil | University of Wisconsin - Madison | Sequencing Biomarkers, Machine learning, individual differences |
Ambili AV | Hindustan college of arts and science | Brain multiplex, Correlative analysis, Dementia, discriminant analysis DNN, Fi |
Nisha AV | Kalasalingam university | ALZHEIMERS,fMRI,enhancement,segmentation,classification |
Niranjan Avadhanam | self | Alzheimer |
brian avants | Biogen | brain, thickness, ANTs, conversion, amyloid |
Josue Avecillas | UCLA | PTSD DBS RNS |
Linda Avena | Ludwig Maximilians Universität | blood brain barrier, glymphatic system, ADNI MEM, ADNI Exec, atrophy, MRI |
Arman Avesta | Yale University | Deep learning, image segmentation, structural brain MRI |
Luciano Ávila | FACIT | alzheimer pet-scan |
Angelica Aviles | University of Cambridge | AD MCI diagnosis, Machine Learning, Graphical Models |
Egils Avots | University of Tartu | MRI, image processing, nn, cnn |
Nicodemus Awarayi | University of Energy and Natural Resources | Deep learning, Capsule network, CNN, Data fusion |
Shivangi Awasthi | Merck & Co. | Alzheimer's, biomarkers |
Ibrahim Awinle | Crescent University, abeokuta | White Matter, White Matter Lesion, T2*W, T2, FLAIR, T1 |
Osama Awwad | Opentica | Alzheimer data |
gu ayaa | tongji | gzy122232 |
Sai Ayachit | The National Institute of Engineering | deep learning, major depressive disorders, MRI |
Enes Ayan | Kırıkkale University | Alzheimer, Deep Learning, CNN, Medical Image Analysis |
taha yassine ayari | esprit | Alzheimer AI DATA |
Aida Ayati Afin | Mashhad university of medical sciences | MRI, deep learning, Alzheimers disease |
Reina Ayde | Basel university | Deep learning image reconstruction |
Beste Aydemir | Bilkent University | Course Projects, Alzheimer's, Bilkent University |
Sümeyye Aydın | Kayseri Üniversitesi | 3D neural networks, deep learning methods, new model |
Elif Aygün | Bilkent University | DTI, AD, CSF |
Mighty Abra Ayidzoe | University of Electronic Science and Technology of China | Neural Network; Feature Engineering |
Umme Aysha | University of Regina | Research |
Scott Ayton | University of Melbourne | CSF amyloid b, tau, heart rate, blood pressure |
Ishan Ayus | NIT ARUNACHAL PRADESH | Alzheimer's disease |
sezin ayvaz | tazi.ai | classification, use-case |
deniz ayvaz | boğaziçi university | lstm, irregular time series |
faiza Ayyob | university of okara | Alzheimer's Disease |
Harry Azadbakht | TMU University | Alzheimer Disease, Prediction, Regression |
Ankush Azade | NITK | brain, tumor |
Narges Azari Jafari | kashan university of medical sciences | brain aging apolipoprotein E alzheimer's disease |
Emanuel Azcona | Northwestern University | Graph convolutional networks, machine learning, MRI, graph signal processing |
Syed Furqan Azeez | Biocliq Technologies | Brain Tumor |
Fayez Azeez | Our Memos Inc | cognitive decline |
Flavia Azevedo | State University of Campinas (UNICAMP) | Explainable Artificial Intelligence; Alzheimer's disease; Early diagnosis |
BERNARDO AZEVEDO | City University of London | Medical image segmentation task |
Abu Zahid Bin Aziz | Rajshahi University of Engineering & Technology | deep Learning, medical imaging |
Ahmad Aziz | German Center for Neurodegenerative Diseases | genome-wide association study, neurofilament light chain, Alzheimer disease |
aniza Aziz | xylexa | genomic data |
Md. Tarek Aziz | Independent University, Bangladesh | N/A |
Ahmadreza Azizi | Virginia Tech | deep learning classifier |
tahmineh azizi | Florida State University | Fractal Geometry |
Shahla Azizi | University of New Brunswick | MCI, Alzheimer, machine learning |
Hadi Azizpour Lindi | Institute of Cognitive Science Studies | AD, predict AD, MCI, Alzheimer’s disease, Mild Cognitive Impairment |
MIR AZRA | NIT Srinagar | DEEP NEURAL NETWORK, ACCURACY TEST |
darnisa azzahra | Universitas UPN Jakarta | Alzheimer's image dataset |
jawahar b | kongu engineering college | dataset |
Keerthana B | Vidyavardhaka College of Engineering | Deep Learning, Classification, Detection, CNN |
Deepika` B | Manukau Institute of Technology | analysis |
Vijayalakshmi B | Mepco Schlenk Engineering College | MR Brain Image, Segmentation, Deep Learning |
Sathyabhama B | Panimalar Engineering College | Brain diseases, prediction/detection |
Venkatesh B | JSS | CNN |
Athira B | TKMCE | Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise |
Divya B | Stigmata techno solutions LLP | alzhiemer,ML |
Jamal Mohamed B | SSN COLLEGE OF ENGINEERING,CHENNAI | Alzheimer |
Rudhra B | IIITMK | PARKINSON |
priyadharshini B | VIT | data ,Alzheimer |
shwetha B | sjce | Alzheimers, MRI, Wavelets, SVM |
Srivatsen B N | University of Stuttgart | Cluster Analysis |
Prathima B N | M S Ramaiah University of Applied Science | Computer aided diagnosis Mild cognitive impairment Alzheimer's disease MRI |
Maowen Ba | Yantai Yuhuangding Hospital | rpAD;Prevalence;Biomarker |
Grace Babalola | Binghamton University (SUNY) | Chronic Disease Predictive Model |
Fatima Babar | G.C. Women university,sialkot | neuroimaging |
Tina Babu | Dayananda Sagar University | artificial intelligence, artificial neural network, image classification, machin |
stalin babu | AITAM | DEEP LEARNING |
Birsu Bac | Northwestern University | biomarkers, research, aging, AD transgenic rats, APOE, Abeta, masters thesis |
Silviu-Alin Bacanu | Virginia Commonwealth University | blood transcriptomic; GWAS; fine-mapping; WGCNA |
Eva Bacas | University of Pittsburgh | student project, alzheimer's, neuroimaging, machine learning |
Sagar Bachhav | AbbVie | Amyloid beta, PET |
Rochdi BACHIR BOUIADJRA | université of mascara | classification, deeplearning |
Tobias Bachmann | Medical Center at the University of Leipzig | SBM, ADAS11 |
Lucas Backes | Uliege university | Master Thesis |
Anwesh Badapanda | Bennett University | Semester project |
Alexandra Badea | Duke University Medical Center | MRI, DWI, fMRI |
giovanni bader | Novartis AG | dementia hypertension ARBs |
AmanPreet Badhwar | CRIUGM, University of Montreal | neuroimaging, genetics |
Doa'a Bador | Tishreen University | Alzheimer's disease; MRI |
Dennis Badugu | Ulster University | Machine Learning |
Jihyun Bae | Gachon University | Test module, Alzheimer's disease(AD) |
Hyunjung Bae | Seoul national university | M-IPAD |
Jong Bin Bae | Seoul National University Bundang Hospital | Alzheimer's disease, MRI, biomarker |
Lea Baecker | King's College London | machine learning, MRI |
Kwangyeol Baek | Pusan National University | Neuroimage, Cognitive function, Longitudinal study, Cohort, PNU, Korea |
David Baek | Korea University | neural networks classification |
halit baeloha | tel aviv university | AD, digital health |
Daniel Baer | Medical University of South Carolina | Statistical model, Alzheimer's disease, longitudinal data, covariate selection |
Steven Baete | NYU School of Medicine | Orientation Distribution Function analysis, Diffusion MRI |
Naveen Venu Bagadi | GVPCOE | AI, Deep learning |
Jaya Bagaria | Gachon University | Sporadic EOAD, GWAS, WES, PRS |
Andhika Bagaskara | Universitas Muhammadiyah Malang | Alzheimer, CNN, Image Classification |
Ali Baghayeri | Shahrood University of Technology | ADNI data analysis |
Ali Baghayeri | Shahrood University of Technology | preprocessing data |
Golnaz Baghdadi | Amirkabir University of Technology | Computational neuroscience ; multimodal sensory |
yamin bagheri | Tehran university | deep learing, calssification, Alzheimer disease |
Fatemeh Bagheri | University of Toronto | 1.5T MRI image, 3T MRI image |
Sara Bagherieh | Isfahan University of Medical Sciences (MUI) | Alzheimer's disease, Radiological Markers, Disease Progression |
Bryce Bagley | Stanford University | machine learning, clinical data science, medical machine learning |
dhimas bagus teguh pambudi | Informatics | Machine Learning. Alzheimer |
fatemeh bahadoran | babol noshirvani university of technology | alzheimer neural network |
Alex Bahar-Fuchs | The University of Melbourne | Cognition, neuropsychiatric symptoms, mood |
Elif Bahçekapılı | Yıldız Teknik Üniversitesi | Machine Learning, Disease |
Vanshika Baheti | Manipal University Jaipur | Minor Research Project |
Mohamad Bahmanpour | Shahid Bahonar University of Kerman | MRI, Alzheimer disease |
Mehrnaz Bahraim | Tehran University | AI-CNN-Alzheimer’s Disease-classification |
Kave Bahraman | Shahid Bahoonar University | ADNI DeepLearning 3D |
Amir Hossein Bahrololoomian | Azad University | Alzymer |
Haotian Bai | Shanghai University | machine learning |
Wenjun Bai | ATR | dynamic effective connectivity |
Kun Bai | University of Michigan | gene expression, DEG, ANOVA |
Yang Bai | WHUT | 123456 |
Wenhao Bai | Shaanxi normal university | deep learning |
Xiaoyu Bai | Northwestern Polytechnical University | Deep learning; MCI; AD |
Jianling Bai | Nanjing Medical University | Alzheimer's disease,GWAS,Radiomics,gene-environment or gene-gene interactions |
xinhao bai | Henan university of technology | medical image registration and segmentation |
Ahmed Baig | University of Queensland | perceiver transformer, neural networks |
Paul Baiju | AERO | AI |
Abhijith Bailur | SJCE Mysore | MRI |
Paul Baird | Centre for Eye Research Australia, University of Melbourne | AMD, genome wide, interaction |
Divya Baiskhiyar | None | Deep learning machine learning |
Zhang Baiwen | Beijing University of Technology | AD, MCI convert |
Janosch Bajorath | IKW - Institute of Cognitive Science | Cognitive Science, Contrastive predictive coding, deep learning, Classification |
Pradeep Bajracharya | RIT | MRI; Brain; Artifact |
Reda Baka | Université des Sciences et de la Technologie d'Oran - Algerie | convolutional neural network, master's degree, AI, MRI, classification |
Ron Baker | University of Kentucky | Alzheimer's AD Dementia CARTS |
Susan Baker | Janssen R&D | Diagonsis, Progression, Biomarkers |
Suzanne Baker | Lawrence Berkeley National Laboratory | AV45, R1 |
Suzanne Baker | Lawrence Berkeley National Lab | longitudinal glucose metabolism |
Mudathir Bakhit | Fukushima Medical University | DLPFC, tractography, connectome |
Naman Bakhru | IIT Kharagpur | Hidden Markov Model, Bayesian networks |
razieh bakhshandeh | Iran University of medical science | NONE |
Akhil Bakhshi | KCL | Schizophrenia |
mahdiyeh bakhshi | Shahid Bahonar University of kerman | Transfer learning |
mahdi bakhshi | iran | brain |
Mahdiyeh Bakhshi | Shahid Bahonar University of kerman | 1q2w3e4r |
Serguei Bakhteiarov | Biogen | Alzheimer, amyloid, tau |
Maryam Bakhtiary | Shahid Chamran University of Ahvaz | Mild Behavioral Impairmen, preclinical syndrome, mild cognitive impairment |
Arnold Bakker | Johns Hopkins University | Entorhinal Cortex |
eman bakr | student | project |
Kavitha Bakshi | Ryerson | Medical Machine Learning |
Somrita Bakshi | Indian Statistical Institute | PET, MRI, PIB, AV45 |
Abhishek Bal | Calcutta University | PET datasets, brain |
PAVITHRA BALA | LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING | ALZHEIMERS , EEG |
Diponkor Bala | Islamic University-Bangladesh | Brain MRI |
Rukku Bala | Ericsson Inc. | dementia, alzheimers, mri, ai, clinical data |
mohammad Balabandian | Iran university medical sciences | alzheimer |
Helena Balabin | Fraunhofer Scientific Computing and Algorithms Institute (SCAI) | Machine Learning, Multimodal Classification |
Hossam Balaha | Mansoura University | https://hossambalaha.github.io/ |
Vibha Balaji | IISc | Computational analysis |
Chetan Balaji | CIT Gubbi | Alzheimer's and Parkinson's Disease |
Meenakshisundaram Balasubramaniam | University of Arkansas for Medical Sciences | drug discovery |
kishore balasubramanian | Dr MCET | CNN, bio insired algorithms |
Erica Balboni | University-Hospital Company of Modena | Hippocampal Segmentation Deep Learning |
Erica Balboni | University of Modena and Reggio Emilia | T1-weighted |
ERDEM BALCI | Gazi University | PET, FDG, Amyloid |
Dobri Baldaranov | USC | CMB, WMI, OAK, anti-platelet |
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 |
Rajat Baldawa | WPI | Alzheimer's, Cognitive Performance Data, Neural Network, Linear Regression |
Douglas Baldissera | Univates - Universidade do Vale do Taquari | Artificial intelligence; neural networks; |
Marcos Balle | Universidad Politécnica de Madrid | T1, DTI, MCI, AD |
sridevi balne | KL University | convolution neural network, faster rcnn |
András Balogh | University of Szeged | multimodal image registration |
Priyanka Baloni | Institute for Systems Biology | Metabolism, multi-omics analysis, lipidomics, metabolomics |
Vladimir Balutin | Petro Mohyla Black Sea National | CDR |
Manas Bam | Bethany High School | Std 11 student, passionate, classify, early detection, community helping |
Oluwaseun Adebayo Bamodu | Taipei Medical University - Shuang Ho Hospital | Proteome, Genome, Parkinson's Disease, Motor disorder, Cerebrum |
Kobe Bamps | KULeuven | MedICSS |
Jake Bamrah | Ulster University | Graph Neural Network, Alzheimer's Disease, Decision Support System |
parthi ban | VIT university | mri, alzheimers , CNN |
Yanjiao Ban | Guangxi University | Alzheimer's diagnosis; Multimodal image fusion |
Daniel Bandala | Universidad Nacional Autónoma de México | Neural netowkrs, DTI, Transformers |
Harsh Bandhey | IIIT Delhi | 3D-CNN, Classification, MRI, MICCAI |
Mantas Bandonis | Johannes Kepler University | labadiena |
Dipankar Bandyopadhyay | Virginia Commonwealth University | DTI, tensor regression, spatial methods |
Swayam Banerjee | Jadavpur University | Deep Learning, Image processing, Alzheimer's Detection |
Sattwika Banerjee | INSTITUTE OF NEUROSCIENCES KOLKATA | Alzheimers, Morphometric Analysis |
Abhijit Banerjee | Dr. B C Roy Engineering College, ECE | Deep Learning, Classification |
Ji-In Bang | CHA Hospital | neuroimaging |
Ali Haider Bangash | STMU Shifa College of Medicine, Islamabad, Pakistan | Alzheimer's disease; Automated machine learning; Prediction |
Katherine Bangen | University of California, San Diego | vascular risk, cerebral blood flow, amyloid |
Pan Bangquan | SUN YAT-SEN UNIVERSITY | Multimodal method; Medical imaging |
Timothy Banh | University of California, San Francisco | MCI, disease progression |
Mehri Baniasadi | University of Luxembourg | MRI segmentation |
Anahita Baninajjar | University of Tehran | generative adversarial networks, MRI, AD |
Sarah Banks | UCSD | tau; alzheimer's; sex differences |
Shuhei Bannae | Canon Medical Systems Corporation | Alzheimer disease |
Leonie Banning | Maastricht University | Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen |
Samara Banno | University of london | cognitive assessment tolls and scores |
Anthony Bannon | AbbVie | fluid biomarkers; tau PET; amyloid PET |
Deepika Bansal | The NorthCap University Gurugram | Machine Learning, Deep Learning, MRI Image |
Ketan Bansal | National Institute of Technology Andhra Pradesh | Artificial Intelligence, Deep Learning, NIT, India, Research |
SANCHIT BANSAL | the university of hong kong | - |
Shivansh Bansal | JECRC University | Medical Image, MRI, CT Scan |
Ketan Bansal | National Institute of Technology Andhra Pradesh | Artificial Intelligence, Deep Learning, NIT, India, Research |
Anton Banta | Rice University | self supervised learning, AD classification |
Jaume Banus Cobo | INRIA | Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid |
Lu Bao | Nanjing Normal university | Functional data analysis,FPCA,Block-wise missing data,Data imputation |
Pham Hoai Bao | International University - VNU-HCM | Artificial Intelligence |
YIWEN BAO | University of Hong Kong | amyloid-PET |
QiHan Bao | Weifang Medical University | statistics Instrumental variable |
jinzhou bao | Beijing Normal University | research |
rui bao | University of Science and Technology Beijing | seraphim19730521 |
BaoZuPeng BaoZuPeng | China Jiliang University | Research |
Rohan Bapat | Stony Brook | Machine Learning, Convolutional Neural Network |
Anand Kumar Bapatla | University of North Texas | EEG, fMRI |
Fernando Barajas | UANL | AI, Machine, Learning, Atlas, hippocampus |
Muhamed Barakovic | F. Hoffmann-La Roche AG | Diffusion MRI |
ali barati | tums | rs-fmri |
Sheena Baratono | Beth Israel Deaconess Medical Center | apraxia |
Eduardo Barbará | Universidad Autónoma Metropolitana (UAM) | image processing data analize |
Philip Barber | University of Calgary | stroke; TIA; brain atrophy; dementia |
Justin Barber | University of Kentucky | neuropsych testing, education, amyloid, wmh |
Robert Barber | University of North Texas Health Science Center | Alzheimer's disease genetics |
Jordan Barbone | West Chester University | Independent, personal use |
Jordan Barbone | Cogstate | AD, CBB, Staging |
Adriano Barbosa da Silva | Queen Mary University of London | Machine Learning, Artificial Intelligence, Prediction |
Manikya Bardhan | PES University | machine learning, deep learning, transfer learning, multi-modal |
Manikya Bardhan | PES University | machine learning, deep learning, transfer learning |
Justin Bardwell | University of Western Australia | Predicting conversion CNN |
Steven Barger | University of Arkansas for Medical Sciences | amyloid, PIB, florbetapir, prescription, drug |
IOANNIS BARGIOTAS | ENS CACHAN | Control, Alzheimer,PET images |
Berardino Barile | Université Claude Bernard Lyon 1 | Artificial Intelligence |
Giuseppe Barisano | University of Southern California | perivascular spaces |
chris barlow | The Open University | AD, Dementia, MCI, Biomarkers, Trisomy 21 |
Kumar Deep Barman | North-Eastern Hill university, Tura campus | Alzheimer's disease |
Leland Barnard | Mayo Clinic | high throughput PET processing pipeline |
Jude Baroudi | University of Pittsburgh | Alzheimer’s, Neuroimaging, Artificial Intelligence, Medicine |
Marta Barrachina | ADmit Therapeutics SL | Mild cognitive impairment, Alzheimer's disease, whole blood, DNA, mitochondria |
Sandra Barral | Columbia University | GWAS plasma beta amyloid |
Olivier Barret | CEA | Normalization, ATLAS |
Jennifer Barreto | Medical Academy for Science and Technology | Machine learning, Support vector machine, deep learning |
Kris Barreto | University of Sasaktchewan | Clinical Trial |
Kathryn Barrett | The University of South Carolina | Extra Credit |
Matthew Barrett | University of Virginia School of Medicine | Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau |
Muhammad Hablul Barri | Telkom University | alzemier |
Laura Barros | Universidad de los Andes | MRI classification |
Alfonso Barrós-Loscertales | Universitat Jaume I | factorial analysis, latent variable modeling, brain organization |
Daniel Barry | Ulster University | Machine Learning, algorithm, classification |
vera barstad | University of Agder | Deep Learning, 3DCNN,pointcloud |
Jonathan Bartlett | University of Bath | multiple imputation; missing data |
Antara Titikhsha Barua | Asian University for Women | AD |
Dinesh Barupal | Icahn School of Medicine at Mt Sinai | metabolomics |
Farzaneh Barzkar | Iran University of Medical Sciences | dementia, marker, neurocognitive assessment |
Alfons Basa | Metropolitan College | alfkel |
Chinmai Basavaraj | University of Arizona | MRI, fMRI, Deep Learning, Alzheimer's |
Suryakanth Basavaraj | BMSITM | MRI,PET |
Javaria Baseer | National University of Science and Technology(NUST) | CSF, blood, serum, Proteomics, Mass Spectrometry, Swaath analysis |
Gabriela Basel | Stanford University | student, coursework |
Ali Baselizadeh | Amir Kabir University of Technology (Tehran Polytechnic) | Alzheimer, Amyloid Beta, Perception, Memory, Population Genetics |
SHAIK BASHEERA | ACHARYA NAGARJUNA UNIVERSITY | Alzheimer’s disease, Deep learning, Classification, Gray matter, Enhanced ICA |
Abol Basher | Chosun University | Alzheimer |
FAROUQ SADIK BASHIR | DIT UNIVERSITY | Alzheimer |
Usman Bashir | St Barts Hosptal | CNN |
Nauman Bashir | COMSATS UNiversity Islamabad | XAI; Deep learning; Automatic diagnostic; Concept |
Gianpaolo Antonio Basile | University of Messina | thalamus |
Rodrigo Basilio | IDOR | DNN Machine Learning |
Natalia Basimova | Moscow Institute of Physics and Technology | Convolutional Neural Nets, multiclass classification, regression models |
Madhumitha Baskaran | st.joseph college of enginerring | AD, biomarkers |
David Baskin | Wake Forest School of Medicine | network analysis |
Rani Basna | University of Gothenburg, Institute of Medicine | Alzheimer's disease, mild cognitive impairment, longitudinal, |
Andrew Bass | Emory University | Interaction effects |
Cher Bass | King's College London | generative models, deep learning, biomedical data |
Blanca Bastardés Climent | Peltarion AB | Autism Spectrum Disorder, GANs, Neuroimaging, Master Thesis |
Gisel Bastidas | ESPOL | IMAGE REGISTRATION |
José Bastos | Universidade de Aveiro | CNN, DL, Classification |
Joao Bastos | Universidade do Minho | machine learning, plasma, neuroimaging |
Rikin Basu | Vellore Institute of Technology , India | deep learning , image processing , Alzheimer’s, diagnostics |
Arindam Basu | University of Canterbury | Alzheimer's Disease, TBI, Polygenic risk scores |
ganga surendra basva | bharath university | datasets |
Layal Bata | Occidental College | Alzheimer's, shape analysis, machine learning |
Vishant Bata | Indian Institute of Technology,(BHU), Varanasi-India | PET Scans, Early Detection, Machine Learning |
Rodrigo Batal Fernández | Universidad Politécnica de Madrid | Alzheimer continuum, predictive models |
Rodrigo Batal Fernández | Universidad Politécnica de Madrid | Alzheimer continuum, predictive models |
Veeky Baths | Birla Institute of Technology & Sciences, K. K. Birla Goa Campus | Cognitive diseases, Computational Neurosciences |
Tanya Batra | Liverpool John Moore's University | Alzheimer's, early diagnosis, deep learning, machine learning, data analysis |
Richa Batra | Weill Cornell Medicine | PRS, Metabolomics |
Chakib Battioui | Eli Lilly | Tau Pet |
Mark Battle | GE Healthcare | Centiloid, PiB, imaging windows |
Pryangka Rao Batumalay | Ryerson University | Biomarkers and Alzheimer Disease Stages |
Lucia Batzu | King's College London - Maurice Wohl Clinical Neuroscience Institute | Alzheimer's disease; MRI; neuroinflammation |
Matthew Baucum | University of Tennessee Knoxville | machine learning, disease progression, time series |
Roman Bauer | Newcastle University | computational neuroscience |
Kacie Bauer | Claremont Graduate University | factor analysis |
Guilherme Bauer-Negrini | Universidade Federal do Rio Grande do Sul | neuroimaging, pipeline |
Sarah Bauermeister | University of Oxford | machine-learning; cognition; socioeconomic status; lifestyle; early-life |
Baris Baydargil | Kyungsung University | Alzheimer's disease, Medical Imaging, Deep Learning, Meta Learning |
Mehmet BAYGIN | Ardahan University | Dementia, ADNI, Machine Learning |
Gunes Bayir | Bogazici University | brain networks, graph neural networks |
Peter Bayley | VA Palo Alto Health Care System, | CYP191A, hippocampus, apoe4, neuropsychology |
Inci Baytas | Bogazici University | Long short-term memory, disease progression |
burak baytunca | University of Utah | asl, resting state fmri |
Md Shamsuzzoha Bayzid | Bangladesh University of Engineering and Technology | Alzheimer's disease progression; Machine learning |
Farideh Bazangani | Aix Université Marseille | machine learning |
nooshin bazzazan | shahroud university of medical school | nooshinbazzazan |
Tariq Bdair | Technical University of Munich | SSL segmentation |
Derek Beaton | Baycrest | partial least squares, multivariate, genetics |
Sam Beaton | Self | network |
Cédric Beaulac | Simon Fraser University | Neural network classifier, Bayesian model averaging |
Cédric Beaulac | Simon Fraser University | Neural network classifier, Bayesian model averaging |
Helen Beaumont | University of Manchester | diffusion DOC atlas |
Gurkan Bebek | Case Western Reserve University | rapid cognitive decline, CCL2, inflammatory pathways |
Sergio Becerra | Synaptecnetwork/UCLA | ASL, fMRI, Longitudinal |
Lino Becerra | Invicro | asl, cbf |
Laurel Beckett | UC Davis | Biostatistics |
Khaled Bedda | Lakekead University | Neuroimaging, Autism Classification, Autism detection, deep learning |
Hasan Atakan Bedel | Bilkent University | Deep learning, disease bio-marker, fMRI |
Jenna Bedrava | University of Michigan | University of Michigan, Bayesian |
Gary Beecham | University of Miami, Miller School of Medicine | genetics, neuropathology |
Simone Beer | Forschungszentrum Juelich | quantitative PET |
Joanne Beer | University of Pennsylvania Perelman School of Medicine | imaging, multi-scanner |
Mirza Faisal Beg | Simon Fraser University | MR, LDDMM, segmentation, registration, statistical shape analysis |
Rabiya Begam M | PSG College of Technology | Early Detection, Deep learning, Alzheimer's Disease |
kauser begum | The Center for Advanced Genomics | disease-variants diagnostics |
RAZIYA BEGUM | KLU UNIVERSITY | DEEP LEARNING ,MRI DATA |
Sahana Behera | Lexington High School | Brain MRI Scans, Machine Learning network |
Nazanin Beheshti | University of Houston | CNN, Spatitemporal locality, Classification, |
Iman Beheshti | CERVO Research Center, Mental Health University Institute of Quebec | estimation, brain age, MRI |
Rahmat Beheshti | University of Delaware | Multimodal data analysis, Synthetic data generation |
Qumars Behfar | Cologne University hospital | Connectome |
Mahdieh Behjat | Iran University of science and technology | Alzheimer desease detection prevention |
Hamid Behjat | Lund University | shape analysis, topological similarity, classification, early diagnosis |
Hamidreza Behjoo | Skolkovo Institute of Science and Technology | CNN, Tensor decomposition |
Jordan Behn | Northwestern University | PPA |
Connor Behnen | University of Oklahoma | networks fmri |
Finn Behrendt | TUHH | MRI, Deep-Learning, UAD, self supervised learning |
Tina Behrouzi | University of Toronto | GSP for brain mapping |
Maryam Behzad | University of Tehran | Alzheimer's disease - amyloid beta - CSF targeted proteomics |
liang beibei | Hebei University | Brain connectivity networks,Alzheimer's disease,fMRI |
mina beigi | university of kerman | better life |
Tessa Beijloos | Tilburg University | vader model |
Nadja Bekele | EY | Deep Learning, Recurrent Neural Networks, Reinforcement Learning |
Victoria Belancio | Tulane University | genetic variation |
Mahanand Belathur Suresh | Sri Jayachamarajendra College of Engineering | AD,MCI |
Sergey Belavin | Saint Petersburg University | Classification. Machine learning. |
Alexander Belden | Northeastern University | DTI, Music Based Intervention, auditory, reward |
Simon Bele | University of Ljubljana | data augmentation, machine learning, deep neural networks |
Hafida BELFILALI | Tlemcen university | Alzheimer, early Detection, deep learning |
alaa belhadj | am a student | cnn |
Vincent Beliveau | Medical University of Innsbrucl | n/a |
Samantha Bell | Cleveland Clinic - Lou Ruvo Center for Brain Health | dementia, Alzheimer's, hippocampus, aggression |
Hossain Bellal | Universiti Teknologi Malaysia | 1234 |
Eduardo Bellatto Guaresi | UNOESC | inspiração |
Maura Bellio | University College London | graphic user interface; MRI; disease progression models; neurodegenerative |
Laouen Belloli | Universidad de Buenos Aires | Alzheimer, Machine Learning, Statistics, Course. |
Laura Bellon | University of the andes | Neurodegenerative |
Yulia Belousova | BMSTU | MRI, Alzheimer, hippocampus |
Martin Belzunce | Royal National Orthopaedic Hospital | PET, PIB, Image Processing, Partial Volume Correction |
Fu Ben | Zhengzhou Univerisity | Multimodal deep learning;Early diagnosis |
iliass ben | faculté de mohammed premier | ai |
aya ben abdallah | enetcom | brain , hippocampus , MRI , alzheimer 's , segmentation |
Sonia Ben Hassen | National School of Electronics and Communication of Sfax | MCI stage, pMCI, sMCI, AD, hippocampus, segmentation, structural MRI data |
amira ben rabeh | tunis | Alzheimer , CAD |
Sarah Ben Slimene | Tunisia Polytechnic School | Machine learning, Computer Vision, Alzheimer's Medical Imaging |
maissa ben soussia | UNC | PET |
Lea Ben Zvi | The Open Universoty of Israel | classifying fMRI data into several phases of AD |
nadra ben-romdhane | MIRACL | alzheimer |
Marc Benayoun | Wake Forest Baptist Health | convolutional neural network, AI |
ACHRAF BENBA | ENSAM, MOHAMMED V UNIVERSITY | Alzheimer Disease |
Federica Bencivenga | University of Roma "La Sapienza" | connectivity, fMRI, resing-state networks |
Andrew Bender | Michigan State University | diffusion MRI, machine learning, latent factors, |
Kamryn Bendolph | Birmingham Southern College | Machine Learning, Alzheimers |
Andreana Benitez | Medical University of South Carolina | MoCA, Item Response Theory |
Daniel Benjamin | National Bureau of Economic Research | Alzheimer’s, multi-ancestry meta-analysis, diverse populations |
Idriss Bennacef | Merck & Co. | tau |
Neal Bennett | Gladstone Institutes | metabolism |
Lauren Bennett | Hoag Memorial Presbyterian | Alzheimer's disease, diabetes, verbal memory |
Erin Bennett | The George Washington University Milken Institute School of Public Health | generalizability, epidemiology |
Julie Sara Benny | IIIT Kottayam | Resting state fMRI, graph theory,Alzheimer's disease |
Anne Benoit | UCB Pharma | biological variability |
Takis Benos | University of Pittsburgh | graphical models, machine learning, systems biology |
David Benrimoh | McGill University | Psychosis, schizophrenia, structural networks |
Isaac Bensaid | Wilfrid Laurier University | CNN overfitting |
Alexandre Bense | ETH Zürich | degeneration white matter prediction, deep learning |
Randall Benson | Center for Neurological Studies | NFL, concussion, mTBI, dementia, AD |
Mariana Bento | university of calgary | machine learning, image features, dementia |
El Mehdi Benyoussef | Hassan 2nd University of Casablanca | Machine Learning, Image Processing, Alzheimer's Disease |
Meryem Benyoussef | Sorbonne University | Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment |
Seo Beomjin | Kyunghee University | DCSRN , MRI BRAIN image , super image resolution |
Nicole Berbery | Lebanese International University | MRI images/ Brain Age Prediction/ artificial intelligence |
Cosmin Bercea | Helmholtz AI | Anomaly Detection, Federated Learning |
Alex Berg | Massachusetts Institute of Technology | AD subtyping, representation learning, imaging genetics, SCCA |
Maurizio Bergamino | Laureate Psychiatric Clinic & Hospital | DTI; GQI; structural connectivity; prediction model |
Evan Bergen Epstein | Northwestern University | Alzheimer's disease, machine learning, tau |
Derek Berger | St. Francis Xavier University | brain-extraction, skull-stripping, CNN, U-Net |
Swetlana Berger | UCB Biologicals | biological variability |
Miles Berger | Duke University Medical Center | proteomics, CSF, Alzheimer's disease, MCI, cognition |
Niels Bergsland | University at Buffalo | DTI, cognition, free water |
Visar Berisha | Arizona State University | Machine learning models, repeatable composites |
Shaila Berlas | University of Pennsylvania | Data management |
Michael Berman | Hadassah Academic College | CT, MRI, Ultrasound, Imaging reconstruction, Deep Learning |
Jose Bernal | The University of Edinburgh | Atrophy, Longitudinal |
Haley Bernhardt | Washington University School of Medicine | ADNI |
Rachel Bernier | UC San Diego | sex differences; Alzheimer's disease; tau |
Rachel Bernier | UC San Diego | sex differences; Alzheimer's disease; tau |
Adam Bernstein | University of Arizona | Thalamus, Deep Learning |
Stuart Berr | University of Virginia | PET |
David Berron | Lund University | MTL, hippocampus, structure, preclinical AD, amyloid PET |
David Berron | Lund University | MTL, atrophy, Abeta |
Anne Berry | Brandeis University | dopamine, cortical thickness, cognitive resilience |
Tessa Berry | Blue Cross Blue Shield of Illinois | deep learning, POC |
Anne Berry | Brandeis University | dopamine, cortical thickness, cognitive resilience |
Laiss Bertola | Universidade Federal de Minas Gerais | Genetics, using ADNI data as a teaching example, Friday Harbor |
Lars Bertram | University of Luebeck | GWAS, EMIF, QTL, PGS |
Sydney Bertram | Clemson University | tbi, traumatic brain injury |
Olfa Besbes | ISITCOM http://www.infcom.rnu.tn/content/ | Machine and deep learning, early detection |
Pierre Besson | Northwestern University | Deep learning, prediction, big data |
John Best | University of British Columbia | forecasting, TADPOLE, regression-based prediction |
ALBERTO BESTETTI | MULTIIMEDICA IRCCS | AI ALZHEIMER |
ALBERTO BESTETTI | UNIVERSITY OF MILAN | AI ALZHEIMER |
Richard Bethlehem | University of Cambridge | statistical learning, neuroimaging |
Brianne Bettcher | University of Colorado Anschutz Medical Campus | biomarker, aging |
Tobey Betthauser | University of Wisconsin-Madison | PET, neuroimaging, processing |
Erin Beveridge | Canon Medical Research Europe | Brain segmentation, neurodegenerative disease, machine learning |
Marc Beyer | German Center for Neurodegenerative Diseases | AD, Omits, imaging |
Marianne Bezaire | Boston University | alzheimer's, machine learning |
Liudmila Beziaeva | Nant | deep learning Alzheimer |
Archana Bhade | Government College of Engineering,Amravati | machine learning |
Sayantan Bhadra | Washington University in St. Louis | generative model, MRI |
Arijit Bhaduri | Jaypee Institute of Information and Technology | image-classification |
Eui-hyun Bhae | korea advanced institute of science and technology | deep learning, Alzheimer's disease |
Nikhil Bhagwat | McGill University | Alzheimer's, MRI, machine-learning |
SHREYA BHAKTA | Columbia | ML, alzheimers, predictions |
Shubham Bhand | Manipal university jaipur | machine learning, disease detection |
Mohan Bhandari | Nepal College of Information Technology | Dementia, Early Prediction |
Tushar Bhangale | Genentech | GWAS |
Pradyumna Bharadwaj | The University of Arizona | MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID |
Eshan Bhargava | University of California, San Francisco | Graph Convolutional Neural Network, |
Vedanshi Bhargava | Banner | PiB, AV45 |
Lakshita Bhargava | Maharaja Agrasen Institute of Technology | Deep Learning; Alzheimers; Progression;Prediction |
M S Bhargavi | Bangalore Institute of Technology | Alzheimer's Disease, Blood biomarker, dementia, machine learning |
Devashish Bharti | Converz Ltd | AI, brain, neurological disorder |
Harsh Bhasin | Jawahar Lal Nehru University | MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian |
Chethana Bhaskara | University of Southern California | alzheimers, machine learning |
Nithya Bhasker | TU Dresden | graph convolutional networks, disease prediction |
DANISH BHAT | Northeastern University | Alzhemiers |
Seema Bhat | Dayananda sagar | DWI, b=1000 images |
Omkar Bhatavdekar | Johns Hopkins University | Deep learning, AI, Machine learning |
Kirti Raj Bhatele | Rustamji Institute of technology, BSF Academy, Tekanpur | Machine learning, Deep learning, Alzheimer’s disease, Schizophrenia, Parkinson’s |
Surbhi Bhatia | King Faisal University | Dementia, Deep Learning |
Kaushal Kishor Bhatt | Om Sterling Global University | sMRI and fMRI |
Kaushal Kishor Bhatt | Birla Institute of Applied Sciences | sMRI data, CNN, Deep CNN |
Ruchir Bhatt | Nanostring technologies | Deep learning |
KAVITA BHATT | Delhi Technological University | Alzheimer, MRI, Disease Classification |
SATARUPA BHATTACHARJEE | UC DAVIS | Analyze, Statistics |
Atanu Bhattacharjee | Tata Memorial Centre | Joint longitudinal modeling, time to event data, biomarker |
SOURAV BHATTACHARJEE | Ramakrishna Mission Vivekananda Educational and Research Institute | Machine Learning project on Alzheimer prediction. |
Debanjali Bhattacharya | International Institute of Information Technology Bangalore | Texture, shape, volume |
Sree Bhattacharyya | Indian Institute of Engineering Science and Technology, Shibpur | ADNI, AD Progression, Classification, Graph Convolutional Networks |
ARINJITA BHATTACHARYYA | University of Louisville | shrinkage, logistic regression, variable selection, prediction |
Sudeepa Bhattacharyya | Arkansas State University | metabolomics, neuroimaging |
Kritib Bhattarai | Mayo Clinic | Reinforcement Learning, ANDIMERGE |
Uttam Bhetuwal | Brown University | Deep learning,brain imaging |
Pradnesh Bhike | AISSMS College of Engineering Pune | Study, CNN |
Rimmon Bhosale | IIT Palakkad | CNN, deep learning, medical images |
Sonali Bhosale | SKNCOE | ALzheimer's disease, hippocampus, mri images, deep learning |
SAJAN BHOSALE | SANJAY GHODAWAT UNIVERSITY | Alzheimer's Dataset |
Amanjot Bhullar | University of Guelph | artificial neural netowrk |
Swetha Bhumireddy | University of Missouri - Kansas City | AI, Deep Learning, Artificial Intelligence, algorithm, PET, imaging, scans, UMKC |
Cheng Bi | Chinese Academy of Sciences | Medical image analysis; Artificial intelligence |
Xinyuan Bi | Shanghai Jiao Tong University | AD metabolomics |
Hanwen Bi | Columbia University | Functional connectivity, VAE |
Xin Bi | Northeastern University | brain network, fMRI, Alzheimer's Disease |
Shijia Bian | Emory University | data harmonization |
Chun Mei Bian | Tongji Medical College,Huazhong University of Science and Technology | bile acid;intestinal microorganism;Alzheimer's disease |
Jintang Bian | Sun Yat-sen University | Multi-Modal Biomarker, Alzheimer’s Disease, machine learning |
shijia bian | EMORY UNIVERSITY | AD disease progressin |
Wajiha Bibi | Aston University | biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement |
Ayesha Bibi | University of Gujrat | Alzheimer's disease |
Saba Bibi | international Islamic university Islamabad | alzheimer |
Abhinav Bichal | Att intern | Machine learning model, Biomarkers, Correlations, Data Scientists |
Przemyslaw Biecek | Warsaw University of Technology | explainable artificial intelligence |
Anne Biever | Genentech | biomarker AD |
Ricardo Bigolin Lanfredi | University of Utah | Visual dataset explanation, regression, adversarial training |
mahtab bigverdi | sharif university of Technology | diagnosis method dataset |
motahareh bijarchian | refah university | Alzheimer's |
Jordan Bilderbeek | University of Chicago | MRI, neuroimaging |
Murat Bilgel | National Institute on Aging | FDG, amyloid, DTI, MRI, atrophy, longitudinal |
Emirhan Bilgiç | Istanbul Technical University | Early Diagnosis, Alzheimer's Disease, Dataset |
Ali Bilgin | University of Arizona | WMH, segmentation, deep learning |
Benjamin Billot | UCL | segmentation, volumetry analysis |
wang bin | Changchun University of Science and Technology | niyaowoa87326910 |
Reem Bin Hezam | Dublin City University | dementia, modifiable risk factors |
song binbin | Donghua University | studying master;Alzheimer's disease |
Aidan Bindoff | University of Tasmania | biomarkers, cognitive decline, dementia |
zhang bing | ANhui University Of Chinese Medicine | research |
zhang bing | ANhui University Of Chinese Medicine | research |
Ni Bingjie | Huazhong University of Science and Technology | alzheimer's disease |
Ni Bingjie | Huazhong University of Science and Technology | Deep Learning、Neurofunctional assessment |
Huang Bingsheng | Shenzhen University | AD, brain age |
Qi Bingxin | Southwest University | Recognition of Alzheimer's disease based on Semi-paired probabilistic canonical |
Huang BingYao | Beijing University of Posts and Telecommunications | joint modeling |
Connor Binnig | University of Chicago | Modeling, Predictive Analytics, Algorithm |
Kyriaki-Margarita Bintsi | Imperial College London | brain MR images, T1-weighted, AD classification |
Moritz Binzer | Technical University of Munich | stroke, dementia |
David Biondi | Seelos Therapeutics Inc (consultant) | Alzheimer's Disease, fluid and imaging biomarkers, clinical measures |
Florian Birk | University of Tübingen | Hippocampus |
Colin Birkenbihl | Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI | AETIONOMY, statistical comparism, modeling, validation |
George Biros Biros | The University of Texas at Austin | Image registration, image segmentation, tau analysis, PET, MRI, machine learning |
Joshua Bis | University of Washington | Alzheimer's disease, sequencing, ADSP |
Gérard Bischof | University Hopsital Cologne | Alzheimer's disease, resting state, fMRI |
Sotirios Bisdas | University College London | Brain ageing; Cognition; Brain tumour |
Steven Bishay | Vanderbilt University Medical Center | FDG-PET, Brain, Alzheimer’s, DLB, FTD, liver transplant, hepatic encephalopathy |
Ram Bishnoi | Medical College of Georgia | dementia, latent variables, neuroimaging |
Anna Bishop | Boston University | deep machine learning, MatLab, AlexNet, neural network |
Bharat Biswal | NJIT | fMRI; functional connectivity, brain |
Mampu Biswas | Amrita Vishwa Vidyapeetham | Mampu |
Shameek Biswas | Bristol Myers Squibb | genetics, imaging, biomarkers, cognitive decline |
Rahul Biswas | University of Washington, Seattle | Functional connectivity, Alzheimer's disease, Dynamic Causal Model |
Rashni Biswas | Amrita Vishwa Vidyapeetham | Rashni |
Tapabrata Biswas | Alzheimer's research | Alzheimer's research |
Sanglap Biswas | IEM | Alzheimer |
Subhrangshu Bit | Ramakrishna Mission Vivekananda Educational and Research Institute | Algorihtm, Machine Learning Preclinical Alzheimer's disease |
Felix Bitzer | University Hospital Bonn | FDG PET, epilepsy |
Malin Bjornsdotter | Sahlgrenska University Hospital | stroke, epilepsy, aging |
zhang bl | JiLinUniversity | Prediction ,Alzheimer,Graph Neural Network |
Mary Helen Black | Janssen Pharmaceuticals, Johnson and Johnson | Target Identification and Validation, GWAS, Alzheimer’s disease |
Sandra Black | Sunnybrook Research Institute | MRI Volumetry, Alzheimer disease progression |
Tim Blackwell | Goldsmiths, University of London | Dementia risk |
Jennifer Blackwood | University of Michigan-Flint | MCI, neurological exam, vital signs |
Elise Blaese | IBM Research | NIA GCAD Watson |
Joshua Blake | LMU University Munich | Alzheimer Prediction, Alzheimer Detection |
Paul Blanc | APHP | probabilistic FDG PET conditional variational auto encoder |
George Blanck | UNIVERSITY OF SOUTH FLORIDA | immune receptors; complementarity determining regions; physicochemical features. |
Yana Blinkouskaya | Stevens Institute of Technology | MRI, computational biomechanics, simulation and modeling |
Wouter Bloem | Amsterdam UMC | Longitudinal, tau, PET, review |
neela blore | Projects | Alzheimer Disease |
Emma Bluemke | University of Oxford | healthy ageing, neural networks |
Jenna Blujus | UWM | Alzheimer's disease |
Dominik Blum | University Hospital Tuebingen | Parkinson, Cognition, FDG, denoising |
Tobias Blum | University Hospital Essen | Alzheimer's disease, cholinesterase inhibitors, cognitive impairment |
Marina Bluma | Karolinska Institutet | blood biomarkers, blood-brain barrier |
Stefano Blumberg | University College London | Experimental Design |
Jan Krzysztof Blusztajn | Boston University School of Medicine | plasma biomarker amyloid tau |
Xiaolin Bo | University of Science and Technology of China | Statistical longitudinal data analysis |
yu bo | zhejiangmedicaluniversity | alzhermer's disease |
qun bo | Shanghai Maritime University | FC |
Miguel Bocard | Texas A&M university | Analysis, Research, Statistics, Data |
Jason Bock | Embic | MCI, AD, longitudinal, prediction, bayesian modeling, biomarkers, amyloid, tau |
Markus Bödenler | FH JOANNEUM University of Applied Sciences | dementia, AI, machine learning, prediction, intervention |
Ashish Bodla | Self | Grand Challenge |
Kaylee Bodner | Duke University Medical Center | Alzheimer's, neurofilament light, genes |
Susan Boehnke | Queen's University | CSF biomarkers, lumbar puncture |
Ronald Boellaard | University Medical Center Groningen | Image methodology, quantification, processing, classification |
Ana Boeriu | University of California, Davis | Dr. Harvey, MS comprehensive examination, data analysis project |
Bojan Bogdanovic | Ss. Cyril & Methodius University in Skopje | bioinformatics, prediction, AD, university |
Craig Bohrson | Harvard Medical School | clonal hematopoiesis, Alzheimer’s disease, Dementia |
Yashwanth Boinpally | University of Essex | Alzheimer's Disease, Classification, Deep Super Learners, GAN's |
Arun Bokde | Trinity College Dublin | MRI, grey matter, volumetric, hippocampus |
Joseph Boktor | California Institute of Technology | microbes, WGS |
Joseph Boldrey | Iowa State University | TMS, Neuromodulation, Magnetics |
Harshini Bonam | Rutgers University | CS527 Databases for Data Science course project |
Alexandre Bône | Guerbet | contrastive learning; neuro-oncology; treatment selection support |
Luke Bonham | Johns Hopkins | Alzheimer's disease, hydrocephalus, ventricular volumes |
Luke Bonham | UCSF | FDG PET, MRI, Neural Network |
Leonardo Bonilha | Medical University of South Carolina | AD, Epilepsy, Deep Learning. |
Edward Booker | Genentech | longitudinal analysis |
Tanupat Boonchalermvichien | University of Pittsburgh | causal inference, brain imaging, SNPs |
sahar borazjani | isfahan university | LIPOPOTEINS AND METABOLITES |
Maria Bordukova | Technical University of Munich | master's thesis, disease prediction, incomplete dataset, multimodal dataset |
Seth Boren | UTHEALTH | DTI, ASL, 3D-T1w |
David Borensztajn | University of Amsterdam | Machine learning, MRI, CNN, Brain disease |
Pedro Borges | King's College London | MR Segmentation, Deep learning |
Polina Borisova | NRU HSE | Topological data analysis, persistent homology, combinatorial Laplacians |
arezoo borji | amirkabiruniversity | alzheimer-diagnosis-prediction |
Kushal Borkar | International Institute of Information Technology, Hyderabad | f-MRI dataset |
Kamil Borkowski | UC Davis | Bile Acids |
Léonie Borne | University of Newcastle | Anatomy, structural MRI, cortical sulci, machine learning |
matthew Borzage | CHLA/USC | USC Students |
Iris Bosch | University of Gothenburg | PET MRI biomarkers |
Christian Boschenriedter | Heinrich-Heine-Universität Düsseldorf | Parkinson's disease, machine learning |
Shirsha Bose | Jadavpur University | Found |
Aditya Bose | Manipal University Jaipur | GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data |
chandran bose | NIELIT | alzheimers data |
Marcos Bosques | Florida International University | neural networks; machine learning; classification; |
Matjaž Boštic | University of Ljubljana | FDG-PET, Dementia, neurodegenerative illness |
Nicholas Bott | University of California San Francisco | cognitive aging; structural imaging; inflammation |
Leslie Botti | University of Michigan | PET QC search download |
NOUHAILA Bouanane | The university of jordan | Alzheimer |
Louis-François Bouchard | École de technologie supérieure | bayes, memory-based, CNN, deep learning, medical imagery |
Amel Bouchemha | University of Tebessa , Algeria | Medical images, bio-inspired approches, Random forest |
Johémie Boucher | Université de Montréal | neuropsychology of aging; alzheimer's disease; clinical research |
Guelib Bouchra | Abd el hamidm mehri Constantine 2 | Data integration , heterogeneous data, Alzheimer, machine learning |
bucha bouchra | FSt | 1234 |
Romain Boudet | Oxford University | Community Detection, Brain networks, Classification |
Julia Boudreau | University of Southern California | image data upload |
Salma Bougacha | INSERM | Alzheimer, spreading, tau, connectome |
mohamed bouizakarne | vub | Alzheimer |
Wafa Boukellouz | university of ferhat abbas setif | MRI, CTm prediction |
Pierrick Bourgeat | CSIRO ICT Centre | Segmentation, registration, longitudinal study |
Jessica Bourgin | Université Savoie Mont Blanc | Amygdala; Attentional network |
Jessica Bourgin | Université Savoie Mont Blanc | emotion; attention; amygdala |
Caroline Bouter | UMG Goettingen | PET, FDG, Amyloid |
Younes Bouterfa | Uclouvain | AD, Detection, CNN, MRI |
thebti Boutheina | Monastir | neuro imagerie, alzheimer disease, multiple sclerosis |
Samira Bouyagoub | Brighton and Sussex Medical School | dementia image processing |
Olfa Bouzidi | fsm | Deep learning |
Emily Bove | Cogstate | Cogstate |
Jeffrey Boward | University of Arizona College of Medicine Phoenix; Banner Alzheimer's Institute | white matter hyperintensity volume; hippocampal/ventricular volume; Alzheimer's |
Spencer Bowen | UT Southwestern Medical Center | PET, quantification, simulations |
Zheng Bowen | Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences | Deep Learning |
liang boxu | hunan university | MR,CT |
Emma Boyd | University of California San Diego | MRI, ASL |
Sebastien Boyer | Basel University | Disease progression, ADAS-cog |
hong boyi | 华南理工大学 | Classification of Alzheimer's disease |
Christina Boyle | USC/IGC | AD MCI Conversion MRI |
Rory Boyle | Massachusetts General Hospital | Resistance, Resilience, Sex Differences, Neuroimaging, PET |
Serdar Bozdag | University of North Texas | machine learning, data mining |
yan bq | university | 12110303043 |
Jeffrey Brabec | University of Vermont | NetWAS, PheWAS, CNNs, Derived-phenotypes, Canonical Correlation Analysis |
Julien Bradfer | Halmstad University | deep learning |
Nicholas Bradfield | St Vincent's Hospital Melbourne | Mild cognitive impairment; neuropsychology; memory |
Tyler Bradshaw | University of Wisconsin | attenuation correction |
Joana Braga Pereira | Karolinska Institute | CSF, MRI |
Delfina Braggio | Pladema | hippocampus, shape, volume, deformation |
Jennifer Bramen | Pacific Neuroscience Institute Foundation | Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), Gaussian Naive Bayes |
Nadia Brancati | National Research Council of Italy | image processing |
Valentina Brancato | IRCCS SDN | DICOM |
Marcus Branch | Federal University of Santa Catarina | scientific research, dataset |
Lodewijk Brand | Colorado School of Mines | haploview, plink |
Abby Brand | Washington University School of Medicine | Plasma AB, FNIH, amyloid PET |
Jose Bras | UCL, Institute of Neurology | Neurogranin, neurofilament light, biomarker, genetics |
Maciej Brasewicz | Uniwersytet Szczeciński | Alzheimer |
Meredith Braskie | USC | inflammation |
Jana Bratanić | Faculty of science Split | alzheimer desease |
Christina Braun | Fraunhofer-Gesellschaft | AI-based model |
Elizabeth Breen | Fordham University | Latinx, neurocognition, cultural neuropsychology, functional status, ethics |
Noa Bregman | Tel Aviv Medical Center | verbal fluency |
Emily Brenner | Vanderbilt University Medical Center | AD, FDG PET, Thalamic uptake |
James Brewer | UCSD | subregional change MRI, PET |
Adam Brickman | College of Physicians and Surgeons, Columbia University | white matter hyperintensities, PIB, amyloid |
Ross Briden | Brown University | MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis |
Joshua Bridge | University of Liverpool | AI, Deep learning |
Robert Bridges | Aegis Imaging Consultants | Hypometabolism |
Danielle Briggs | Brigham and Women's Hospital | ADNI 3, LONI, coordinator |
Melissa Bristow | Microsoft Research | machine learning, segmentation |
Carlos Brito-Loeza | Universidad Autonoma de Yucatan | MRI, mapping |
brizzle brizzle | Sichuan University Jincheng College | AI bigdata |
Thibaud Brochet | Université de Rouen / LITIS | Deep Learning Classification Segmentation Unsupervised multitask |
Esther Bron | Erasmus MC | Classification |
Kévin Brou Boni | Centre Oscar Lambret | GAN, CT, MRI, pseudo-CT, radiotherapy |
Jonathan Brouillette | Hopital du Sacre-Coeur de Montreal | Retinoic acid, Alzheimer's disease, Single-nucleotide polymorphisms |
Valerie Brouwers | Erasmus University Rotterdam | Predictability MMSE scores joint lasso method |
Francesco Brovelli | University of Milan-Bicocca | conversion, MRI, amyloid PET, MMSE |
Anastasia Brovkin | University Medical Center Hamburg- Eppendorf | Deep learning, biomarker, prediction, statistics |
Thad Brown | Personal Interest | pydicom |
Jarrel Brown | Pennsylvania State University | fMRI |
Shael Brown | McGill | Connectome harmonics, Manifold learning |
Chiara Brück | ErasmusMC | Microsimulation modelling; Public health; Dementia; Epidemiology |
Sarah Brueningk | ETH Zurich | Interpretability, machine learning, risk prediction |
Divya Brundavanam | Karolinska Institutet | predictive modeling, multimodal MRI |
Iva Brunec | University of Toronto | Hippocampus, Memory decline, fMRI |
Antonio Brunetti | Polytechnic University of Bari | Explainable Deep Learning; Neurodegenerative Disease |
Irene Brusini | KTH Royal Institute of Technology | Structural MRI, segmentation, deep learning, shape analysis |
Oliver Bruton | Carl von Ossietzky Universität Oldenburg | Alzheimer's disease (AD), dementia, CDSS, disease progression |
Enrico Bruttomesso | MSC computer engineering student (Uninettuno International University) | alzheimer mri deep learning neural network dnn |
Annie Bryant | Massachusetts General Hospital | tau, perfusion, blood vessels |
Christopher Brydges | University of California, Davis | Bayesian statistics; research methods |
Andrea Brzeczkowski | University of Wisconsin - Madison | pharmacokinetic, imaging |
Rakshitha BS | christ faculty of engineering | Machine Learning , Deep Learning, Classification |
weixiao bu | Weifang Medical University | propensity scores |
Zhiqi Bu | University of Pennsylvania | Missing value imputation |
Giovanna Bubbico | ITAB, Institute for Advanced Biomedical Technologies | DTI bilingualism normal aging |
OMONIGHO BUBU | UNIVERSITY OF SOUTH FLORIDA | sleep deprivation, Alzheimer's Disease, beta-amyloid |
Marco Bucci | University of Turku | Machine learning, radiomics, dementia, prediction |
Marco Bucci | Karolinska Institutet | PET, CSF |
Hans-Georg Buchholz | University Medical Center | NEUROSTAT, SPM12 |
Bradley Buchsbaum | Baycrest Centre for Geriatric Care | fMRI PET correlation |
Maciej Buciński | University of Adam Mickiewicz | Neuroimaging, Deep Learning, Data Science, Machine Learning |
Katharina Buck | Roche Diagnostics | Elecsys CSF Measurements |
Hudson Buck | Santa Casa de Sao Paulo School of Medical Sciences | Alzheimer, diabetes, hypertension, chronic diseases |
Virginia Buckles | Washington University in St. Louis | DIAN ADNI |
Rachel Buckley | Massachusetts General Hospital/Harvard Medical School | subjective cognitive decline, amyloid, neurodenegeration, sensitivity |
Gabriel Bucur | Radboud University Nijmegen | causal inference, Mendelian randomization, Robust estimation, Bayesian inference |
Charley Budgeon | University Of Western Australia | Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing, |
Sanjay Budhdeo | University College London / National Hospital for Neurology and Neurosurgery | molecular factors, connectivity |
Shibani Budhraja | UNIV.AI | risk prediction, convolutional neural networks, ensemble learning, |
Valentin Buehler | University of Zurich | Interpretable AI |
Kauê Bueno | Universidade São Judas Tadeu | #deeplearnig #machinelearing #alzheimer |
Virginie Buggia-Prevot | Valo Health | Neurodegeneration, drug discovery, machine learning |
Duc Toan Bui | Sungkyunkwan University | GAN |
Duc Toan Bui | Sungkyunkwan University | synthetic image, cycleGAN |
DANH bui | hufi | DNN |
Bao Bui Ngoc | Jeonbuk National University | Computer Vision, pattern recognition, segmentation |
Luna Buitrago | SUNY Downstate Medical Center | Sphingosine-1-phosphate |
aleksey bukhalov | ITMO | cnn |
Sayed Ali Raza Shah Bukhari | Jamil ur Rahman Ceter for Genome Research | Mitochondrial Genomes, Alzheimers |
Kira Bukharina | SAIT | Alzgeimers |
Avram Bukhbinder | McGovern Medical School of University of Texas Health Science Center at Houston | Structural, Diffusion, NDDs, NPH |
Baidar Bukht | University of Rostock | CNN |
Santi Bullich | Life Molecular Imaging GmbH | florbetaben SUVR cutoff |
Brendan Bullivant | University of California Santa Barbara | Machine Learning |
Shogyoku Bun | Keio University School of Medicine | amyloid β, p-tau181, NfL, plasma biomarkers |
Saurabh Bundela | Jabalpur University | Deep Learning, Image Analysis, Genetic and Proteomics biomakers |
Aekapop Bunpeng | Burapha University | Alzheimer 's disease classification , cnn |
Kaileigh Bunting | Cognitive Neuroscience of Schizophrenia Lab | fMRI, MRI, CPCA, BOLD, |
Brady Burgess | Alector | microglia |
Ninon Burgos | University College London | PET synthesis |
Haroon Burhanullah | Johns Hopkins University | Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging |
Michael Burkhart | University of Cambridge | machine learning, trajectory modelling |
Douglas Burman | NorthShore University HealthSystem | hippocampus, fMRI, connectivity, PPI, cognitive control, sensorimotor, language |
Thomas Burnand | Birkbeck University of London | Alzheimers Machine Learning |
Samantha Burnham | CSIRO | Alzheimer's; genetics, Validation, Longitudinal |
Mina Burns | London School of Economics | Survival analysis, machine learning |
Kory Burns | Sandia National Laboratory | Machine Learning, Deep Learning, analytics, reproducibility |
Felicia Burtscher | University of Luxembourg | biomarker |
Hendrik Burwinkel | Technical University Munich | Graph-based deep learning, machine learning |
Tomasz Burzykowski | Center for Statistics | biomarker, Alzheimer's disease, biostatistcs |
Eva Bus | Vrije Universiteit Amsterdam | Machine learning; Supervised machine learning; Prediction |
Geraldo Busatto-Filho | USP | magnetic resonance imaging, cognitive reserve, PET, tau |
Martina Buscema | DINOGMI | degree |
William Bush | Case Western Reserve University | Loss of Y, Copy Number |
Stephanie Buss | Beth Israel Deaconess Medical Center | cognitive reserve, exercise, education, music, social |
Aurelie Bussy | McGill University | Hippocampus Segmentation Aging Alzheimer's Disease |
Bernabe Bustos | Northwestern University | WES, Burden, rare variant analysis |
Tracy Butler | Weill Cornell | ASL |
Paul Butler | Biogen | neuropsychology, Alzheimer's disease, MCI, aging |
Peter Buto | University of California - San Francisco | MRI, Alzheimer's Disease/Related Dementias, |
Omar Butt | Washington Univeristy in Saint Louis | Resting State |
Omar Butt | Washington Univeristy in Saint Louis | Resting State |
Jenna Butterworth | University of Victoria | white matter, integrity, healthy aging |
Markus Butz-Ostendorf | Biomax Informatics | Big Data, semantic data integration, multimodal brain imaging, AD |
Gonca Buyrukoglu | Karatekin University | ANN, Random Forest |
Selim Buyrukoğlu | Çankırı Karatekin University | Artificial Intelligence, Machine Learning, Deep Learning, Prediction Tool |
Calin Buzea | IFT | medical physics |
Giulia Buzi | Università degli Studi di Torino | Alzheimer's Disease; Biomarker; Memory: APOE-e4 |
Punith BV | International Institute of Information Technology Bangalore | Punith, Punith BV |
Sekhar BVDS | S R K R ENGG COLLEGE | alzheimer, Artificial network, Data scirnce |
Samantha By | Hyperfine | segmentation |
Seonjeong Byun | Uijeongbu St Mary's Hospital College of Medicine, The Catholic University | texture, functional connectivity, mild cognitive impairment, progression |
Jihyun Byun | University of Johannesburg | Alzheimer's Disease, computer-aided diagnosis, deep learning |
Jiyoung Byun | KAIST | Alzheimer's disease |
Michał Błotko | Silesian University of Technology | MRI, Alzheimer, Data Science |
Sreelakshmi C | htic | Deep learning |
Neerav C | MUJ | Machine Learning, Early Detection, Study |
Keerthika C | vit | ALZHEIMER, DEEP LEARNING, IMAGE PROCESSING |
safna c a | CUSAT | Gene expression data |
Kiran C.R | jss science and technology university mysore | MRI images, Alzheimers, |
Hebert Caballero | University of Alberta | episodic memory, biomarkers, random forest |
Ivette María Cabana Pérez | Cuban Center for Neurosciences | Database, models, disease progression, aging |
Emilio Cabañero | Universidad Autonoma de Madrid | degree project |
Ryan Cabeen | USC LONI | tools |
María del Rocío Cabello Toscano | Universitat de Barcelona | Cognitive Reserve; Alzheimer's Disease; Normal Aging; Functional Connectivity |
Monia Cabinio | IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente | AD, HC, structural MRI, functional MRI |
Joana Cabral | University of Minho | fMRI |
Ylermi Cabrera-León | Universidad de Las Palmas de Gran Canaria | Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI |
Maria Caceres | Universidad Catolica Boliviana "San Pablo" | Alzheimer |
Xavier Cadet | Imperial College London | Machine Learning, Dementia |
Frederic CADET | University of La Reunion | Machine Learning, Biochemistry, Genomics |
Alexandre Cafaro | TheraPanacea | Multiple sclerosis, healthy, inpainting |
Refsi Cahya | Brawijaya | brawijaya |
Samuel Cahyawijaya | HKUST | deep neural network, alzheimer disease, sequence modeling |
Yudong Cai | College of Animal Science and Technology | Type II diabetes, hippocampal |
Fanco Cai | CQ | 1 |
Hongjie Cai | Shanghai Jiaotong University | AD/MCI diagnosis, deep learning |
Lingrui Cai | Ann Arbor Algorithms | autoencoder, unsupervised learning, feature extraction |
Hanlin Cai | Sichuan University, West China hospital | mother39 |
Yan Cai | Taizhou First People's Hospital | Alzheimer's Disease; CSF; biomarkers |
bingyang Cai | SJTU | AD MRI PET |
Chao Cai | University of South Carolina | Survival Cure model, Alzheimer’s disease, Anticholinergic drug, AD Biomarker |
Congbo Cai | Xiamen University | Image reconstruction, Multimodal image, Deep learning |
Shangyu Cai | Szu University | AD FMRI |
yuan cai | Chinese university of HongKong | plasma biomaker ,AD pathology |
Guoen Cai | Union hospital | neurodegeneration,APOE,DTI |
Hailin Cai | Chongqing University | AD, |
Jiahui Cai | stu | AD |
Jinhua Cai | Sun Yat-sen Memorial Hospital, Sun Yat-sen University | lipids, apolipoprotein, cognition |
Chunting Cai | Xiamen Univeersity | cct724724 |
Miaochun Cai | Guangdong Provincial Hospital of Chinese Medicine | Machine learning, Alzheimer’s diseases, Biomarkers, Neuroimaging |
Jiachen Cai | University of Cambridge | high-dimensional biomarkers; clustering; factor analysis; gaussian process |
Guo en Cai | Union hospital | apolipoprotein E,β-amyloid ,neurodegeneration,AD |
erik cai | wenzhou university | multimodal neuroimaging |
Ning Caichen | IT | 01234567890 |
francesca caiozzo | other | alzheimer |
yan caiying | Nanjing Medical University | early diagnosis,Imageology,MRI |
Ismael L Calandri | Fleni | Machine learning, normal ageing |
Toro Caleb | University of North Dakota | biomarkers, feature selection methods |
Maria Eugenia Caligiuri | Università degli Studi Magna Graecia di Catanzaro | DTI, morphometry, AD, MCI |
Ana CALIN | Insa Rouen | Bayesian Networks |
Brandy Callahan | University of Calgary | diagnosis, neuropsychology, dementia, mci, norms |
Doren Calliku | University of Pavia | machine learning, ensemble, biomarker |
James Calo | Imperial College London | Machine Learning GAN Pix2Pix CycleGan Federated Rival Segmentation |
Frederic Calon | Universite Laval | Alzheimer |
Rui Camacho | Faculdade de Engenharia da Universidade do Porto | Multi-Relational Data Mining |
Eduardo Camacho | UPV | Artificial Intelligence, lesion segmentation |
Aldo Camargo | University of Maryland of Baltimoree | Longitudinal study,ASL, PET-FDG, |
Borja Camino | Health Research Institute Biocruces-Bizkaia | voxel-based morphometry, connectograms, resting functional connectivity, teach |
Silvia Campanioni | Hospital Álvaro Cunqueiro | Deep learning, classification, structural and functional magnetic resonance imag |
Irina Campbell | The University of Strathclyde | Alzheimer’s disease; psychotic symptoms; behavioural symptoms |
M'Saydez Campbell | Universite Jean Monnet | machine learning neuroscience |
Alex Campbell | University of Cambridge | deep learning, machine learning, fmri, diagnosis, unsupervised |
Avalon Campbell-Cousins | The University of Edinburgh | Brain networks, brain activity, fMRI, DTI |
Jacques-Yves CAMPION | Aix-Marseille University | machine learning, classify, alzheimer disease, fdg-pet, mri, discordance index |
Martha Rebeca Canales Fiscal | Instituto Tecnológico y de Estudios Superiores de Monterrey | Machine Learning, Classification |
Samuele Cancellieri | University of Verona | Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS |
Vasco Candeias | INESC-ID | dynamic bayesian network, cloud computing, web, internet |
Sema Candemir | The Ohio State University Wexner Medical Center | computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P |
Marco Canevelli | Sapienza University | frailty, aging |
Irene Cannistraci | La Sapienza University | artificial intelligence, deep learning, prediction, prevention |
Samuele Cannucci | University | CNN |
Juan Cano | Uniandes | Machine learning, Diagnoses |
Juan Camilo Cano Londoño | Universidad de Antioquia | DTI, FREE WATER, MRI |
Antonio Cano Montes | ULisboa | medical deep learning |
Tancredi Canonico | Talento47 sas | AI, machine learning, early diagnosis |
Ana Canosa | UNSAM | Alzheirmer |
Jose L. Cantero | Pablo de Olavide University | sleep2019 |
Christelle Cantet | Gerontopole CHU Toulouse | omega-3, cognitive function |
Shyu Cao | UESTC | AlextNet for AD prediction |
Yuzhu Cao | University of Science and Technology of China | Image Registration |
Xuexiang Cao | Philips | Alzheimer, deep learning |
Jiahang Cao | Imperial College London | Alzheimer's disease, deep learning |
Bo Cao | University of Texas Health Science Center at Houston | Machine learning |
Bing Cao | university of north carolina at chapel hill | medical image synthesis |
Lingcan Cao | Xi'an Jiaotong University | brain network dynamics, default mode network |
Jiahang Cao | Beihang University | deep learning model |
Yan Cao | University of Texas at Dallas | image analysis |
Jiguo Cao | Simon Fraser University | brain network, QTL mapping |
hongjun cao | YanShan University | 数据 |
yingli cao | Jiangnan University | study |
Eric Cao | Albert Einstein College of Medicine | AI, CNN, amyloid-beta |
weifang cao | shandong first medical university | aging neuroimaging |
Gongpeng Cao | Beijing University of Posts and Telecommunications | artificial intelligence, precise diagnosis of AD |
Guanqun Cao | Auburn University | functional data, ADNI |
Jiahang Cao | Beihang University | 区块链 |
Xuan Cao | University of Cincinnati | sMRI, fMRI, radiomics, generalized linear models |
Xingyu Cao | UESTC | dynamic MRI, deep learning |
Yu Cao | Beijing University of Technology | multimodal data, Alzheimer's disease, accurate diagnosis |
Elettra Capogna | University of Oslo | biomarkers, MCI, cognitive decline, structural MRI |
DANIEL CAPON | BLOOD SYSTEMS RESEARCH INSTITUTE | protein engineering, antibodies, amyloid beta, biomarker |
Arvind Caprihan | The Mind Research Network | White Matter damage, FLAIR, Diffusion, CSF |
Camilla Caprioglio | University of Geneva | Alzheimer's disease, cognitive functions |
Jared Cara | Vivid Genomics | Genomics, machine learning, prediction, co-morbidities, pathology |
Pedro Henrique Caramalac | USP | Convolutional Neural Networks, Digital Image Processing, Alzheimer Disease |
oriol caravaca | Universitat Oberta de Catalunya | CNN dementia |
Alba Carballo Castro | University of Seville | Machine Learning, Explainability, Causality |
Chiara Carbone | Università degli Studi di Modena e Reggio | Hippocampus, PhD |
Valerie Cardenas Nicolson | Palo Alto VA | fMRI, DTI, T1, rTMS |
emilse cardona | 43629684 | Alzheimer |
Heitor Cardoso | Institute for Systems and Robotics | machine learning, psychology |
Sasha Cardozo | Kalinga Institute of Industrial Technology (KIIT) | Alzheimer's, Dementia, Cohorts, Image Processing, Transcriptomics, Biomarkers |
filippo carducci | university of rome | PET AD |
Don Cariddi | SUNY Oswego | Alzheimer's Disease Early Detection |
Bruce Carlson | Ohio University | education |
Jeremy Carmasin | Massachusetts General Hospital | PIB FDG AD MCI |
Owen Carmichael | UC Davis | cortical thickness |
Diedre Carmo | Faculty of Electrical and Computer Engineering - UNICAMP | Deep Learning, Hippocampus Segmentation |
Paula Carmona Gallego | Universidad autónoma de Manizales | Machine learning |
Caio Carneloz | UNESP | Semi-Supervised Learning, Deep Learning, CNN's |
Miguel Adolfo Caro Parrado | Universidad Nacional de Colombia | brain aging patterns |
Lucy Carolan | Newcastle University | fine art, sculpture, installation, artists' books, sciart |
Anna Caroli | Istituto di Ricerche Farmacologiche Mario Negri IRCCS | COVID-19 |
Alessia Carotenuto | Università La Sapienza di Roma | Alzheimer -MCI - Thesis |
Carolina Carpio | uc3m | ML |
Valerie Carr | San Jose State University | teaching |
Thomas Carr | University of East Anglia / Norfolk & Norwich University Hospitals | Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning |
Minerva Carrasquillo | Mayo Clinic | CAA, neuroimaging, intracerebral hemorrhage, GWAS, cerebrovascular |
Cristhian Carrillo | Universidad Autonoma de Occidente | Neural network, CNN, Alzheimer |
Fernando Carrió Argos | Instituto de Física Corpuscular - University of Valencia | Deep Learning, Super Resolution, FPGA |
Greg Carter | The Jackson Laboratory | epistasis, pleiotropy, genetic association |
Ashley Carter | Mass General | Alzheimer Disease |
Jake Carus | Biogen | Symposium |
Emily Carvajal | Universidad del Valle | preprocessing, standarization |
Vítor Carvalho | IF SUDESTE MG | MRI Image, Machine-learning, Alzheimer's Disease |
Sofia Carvalho | Universidade do Minho | neuroimaging, mri, alzheimer, prediction |
Alexandra Carvalho | Instituto Superior Tecnico | Time series analysis |
Greg Cary | Jackson Laboratory | genetic association, drug targets |
Mariano Casado | Ecole normale superieure | Glutamate receptors, Glycine receptors, Orphan receptors |
Jose Joaquin Casado Garrido | Georgia Institute of Technology | MRI imaging; Alzheimer's Disease |
Adrià Casamitjana | UCL | MRI, preclinical, machine learning |
Ramon Casanova | Wake Forest University School of Medicine | Machine Learning, Regularization |
Kim Casey | Washington University | ADOPIC |
David Cash | University College London | familial Alzheimer's disease, volumetric MRI, cerebral atrophy |
Julian Caspers | University Hospital Düsseldorf | predictive modeling, machine-learning, domain-adaptation |
Hilario Castañeda | Universidad Nacional de Ingenieria-Docente investigador | machine learning |
Camila Castaño | Universidad Tecnológica de Pereira | deep learning, neural network, degenerative disease |
Hector Castellanos | Cuban Neuroscience Center | Supervised Learning, Machine Learning |
Nikol Orlando Castellanos Diaz | Universidad Autónoma Metropolitana | Biomarkers, alzheimer's disease |
Isabella Castiglioni | National Reserach Council | AD, MCI, image classification, diagnosis, MRI, PET |
Antonio Manuel Castilla Rubia | Universidad de Granada | Computer Vision, Machine Learning, Alzheimer, MRI, PET |
Jose Maria Castillo-Secilla | University of Córdoba | AD, Alzheimer, Deep Learning, GPU |
Camilo Castrillon | Universidad Autonoma de Occidente | Alzheimer disease, machine learning, Middle cognitive impairment, limitations |
Mac Gayver Castro | University Center Christus | Alzheimer disease, imaging, algorithms |
Eduardo Castro | IBM Research | longitudinal, Alzheimer's disease, multimodal, multivariate, predictive |
Gonzalo Castro Leal | University of Dundee | MR, ADNI, AD |
JUAN ANTONIO CASTRO SILVA | UNIVERSIDAD DE SALAMANCA | medical image analysis, alzheimer's disease |
Ana Sofia Castro Verde | Champalimaud Foundation | DTI rsfMRI |
David Catanho | o8t | DICOM MRI T1 |
Francesca Catto | University Hospital Zürich | Alzheimer, PET, scans, raw data |
Pedro Cavalcanti | UFRN | Image Processing, MatLab. |
Michele Cavallari | Brigham and Women's Hospital, Harvard Medical School | amyloid, perivascular spaces, glymphatic |
Enrica Cavedo | Qynapse | hippocampus |
Justin Cawood | Charles Sturt University | Alzheimer's, Likelihood-ratio, MRR |
Kyra Cebula | University of Manitoba | brain imaging |
Emilio Cecchini | Univerity of Florence | deep learning,machine learning,3d,classification |
Nagihan ÇEKİÇ | Düzce University | Machine learning, deep learning, academic study |
Selahattin Barış ÇELEBİ | Batman University | computer aided diagnosis, convolutional neural networks; deep learning; image cl |
Meliha Gizem Çelik | Istanbul Medeniyet University | deep learning, data analyze, machine learning, alzheimer diagnosis |
Yunus Emre Celik | University of Paris | final project |
Gaffari ÇELİK | Ağrı İbrahim Çeçen Universitesi | Alzheimer’s Disease, Deep Learning |
Geraldine Celliere | Lixoft, Simulations Plus | MonolixSuite, NLME, case study |
Leopoldo Cendejas Zaragoza | Summa Health | automatic segmentation, hippocampus, convolutional neural network |
Stefano Cerri | DTU | segmentation atrophy |
Ricardo Cerri | Federal University of Sao Carlos | machine learning, SNPs, Alzheimer Disease |
Tess Cersonsky | Brown University | AD Risk, Machine Learning, Predictive Modeling |
Marcela Cespedes | CSIRO | Cognitive accelerators and non-accelerators, AD disease sigmoid modelling |
Hyunsil Cha | Kyunpook National University | fMRI |
Hyunsil Cha | Kyunpook National University | MR image processing |
Yoonjeong Cha | Immuneering | target identification, pathology, survival analysis, pathway analysis |
Marwa Chaabane | Ecole nationale d'Ingénieurs de Sfax, TUNISIA | Alzheimer disease, fMRI, graph theory |
Chahd Chabib | Khalifa University | deep learning |
Satish Chada | Pulmonary Services of North Texas | Machine Learning, Artificial Intelligence, MCI, AD, COPD |
Clement Chadebec | Université de Paris | Deep learning, classification |
Sukang Chae | POSTECH | Artificial Intelligence, medical image classification |
Pavan Chaggr | University of Oxford | Alzhiemer's, morphology, degeneration |
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 |
Jingchen Chai | University of Alberta | BMI Alzheimer’s diseases |
Sitthichok Chaichulee | Prince of Songkla University | Deep Learning, Mild Cognitive Impairment, Normal Control |
Kalayanee Chairat | King Mongkut's University of Technology Thonburi | GWAS |
yanawut chaiyo | mfu | classification , dementia |
Moumita Chakraborty | The University of Texas MD Anderson Cancer Center | Statistical modeling; Network; Genomics; Brain imaging; |
Daniel Chalupa | Brno University of Technology | Pharmacokinetic Modeling, Multiple Classifier Systems |
Benjamin Cham | University of Leicester | Deep learning, medical image processing |
Jordan Chamberlain | The Pennsylvania State University | ADNI3 advanced diffusion, Siemens Advanced Prisma VE11C |
Harshil Champaneria | Arizona State University | Research Project on Deep Learning |
Kannie WY Chan | City University of Hong Kong; The Johns Hopkins University School of Medicine | MRI, AD, deep learning |
Elaine Wan Ling Chan | International Medical University | SVM classifier for the determination of progressive deterioration of AD |
Katie Chan | City University of Hong Kong | Molecular epidemiology and bioinformatics |
Eldon Chan | University of California, Berkeley | Deep Learning, Alzheimer's Recognition and Prediction |
Jason Chan | University of Calgary | Gene expression, amyloid, tau, neurodegeneration, PET, MRI |
Tao Chan | Tsinghua Shenzhen International Graduate School | AD, hippocampus, deep learning, diagnosis |
CANDACE CHAN | UNIVERSITY OF CALIFORNIA, SAN FRANCISCO | diagnostic tests, biomarkers, early detection, genetic |
Yi Hao Chan | Nanyang Technological University | Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets |
Christina Chan | Michigan State Univ. | NCI-DREAM 8.5 |
Huang Chan-Yi | Acer | Brian MRI |
Steven Chance | Oxford brain diagnostics | MRI, DTI, AD, MCI |
Ganesh Chand | Washington University in St. Louis | T1 weighted MRI, cognitive scores |
Mayurakshi Chanda | National Institute of Technology Silchar | Deep learning, Neural network |
Tirtha Chanda | University of Magdeburg, Germany | disease |
Maya Chandar | Canterbury School | Alzheimer's Disease, mild cognitive impairment, neurodegeneration, algorithm |
Trevor Chandler | Artificially Intelligent | Alzheimer’s, Amyloid, Memory, Brain |
Hannah Chandler | Cardiff University | MRI PET genetic risk |
Subhadeep Chandra | National Institute of Technology, Durgapur | CNN |
Avinash Chandra | King's College London | Alzheimer's disease; amyloid; tau; genetics |
GAURI CHANDRA | IIT, Delhi | Alzheimer's Disease, Neuroscience, Optimal Controller |
Dinesh Chandra | MNNIt, Allahabad, UP, India | AD |
mahi chandrakar | nit raipur | dep learning |
Ganesh Chandrasekaran | University of Pennsylvania | CSF, Biomarkers, Cognition |
Timothy Chang | University of California, Los Angeles | Rare variant analyses, genetics, whole genome sequencing |
Can Chang | Being Normal University | neuroImage; deep learning;disease prediction |
Changgee Chang | University of Pennsylvania | integrative analysis, multi-task learning |
Wonjae Chang | Neurocle | AD, AI, Auto Segmentation |
Ze Chang | huazhong university of science and technology | diagnosis |
Minyu Chang | Cornell University | Fuzzy-trace theory; factor analysis |
WeiTang Chang | UNIV OF NORTH CAROLINA AT CHAPEL HILL | dMRI |
hsin-wen Chang | National Tsing Hua University | Alzheimer |
HanI Chang | Ajou | AD |
RUI CHANG | University of Arizona | Alzheimer's, Sex difference |
JUDY CHANG | Chang Gung memorial hospital | AI |
Ya-Hsuan Chang | University of Kentucky | Data analysis |
ali chang | Advantech | alzheimer |
Kai CHi Chang | National Yunlin University of Science and Technology | reserch CNN |
Ya-Ning Chang | National Cheng Kung University | Interpretability; Machine Learning |
Jeryn CHang | The University of Queensland | Hypothalamus; BMI; DWI |
Jose Chang Irias | Halmstad University | Convolutional nueral networks, Lewy body dementia, dementia detection |
Monir Changizi | Shahidbeheshti university | sleep,insomnian,alzheimer's disease,dementia |
yu changyuan | 上海事事大学 | fMRI |
RYU CHANJU | BUNDANG CHA HOSPITAL | Deep learning |
zhang chao | Taiyuan University of Technology | Alzheimer's disease |
wang chao | North University of China | Wl940414.+0 |
wang chao | fujianyikedaxue | study; Alzheimer's disease;clinical manifestations |
bu chao | DONGHUA UNIVERSITY | AD |
suo chao | xiangtan university | Due to low intensity contrast around ROI boundary and large inter-subjectvarian |
wang chao | Fujian Medical University | brain regions; Alzheimer's disease |
Ma Chaoran | Changzhou University | fMRI Beginners |
Aymen Chaouch | LABTIM | image fusion |
Marianne Chapleau | Douglas Research Center | cognition, tau-PET, amyloid-PET |
James Chapman | UCL | Machine Learning Neuroimaging Brain Behaviour Associations |
Zachary Chappell | Institute of Psychiatry, Psychology & Neuroscience, King's College London | Diffusion MRI, multicompartment models, MCI, AD |
Van Charon | Tsinghua University | Alzheimer |
Evangelos Chartampilas | AHEPA University Hospital Thessaloniki | JadBIO Machine learning dementia |
Christine Charvet | Delaware State University | Cortex |
Danai Chasioti | IUPUI | polygenic, alzheimer's |
Lina Chato | University of Nevada, Las Vegas | MRI brain images, T1, flair, T2 |
Subarna Chatterjee | RUAS | ML,DL |
PUBALI CHATTERJEE | UNIVERSITY OF CALCUTTA | Image Segmentation |
Soumick Chatterjee | Otto von Guericke University Magdeburg | deep learning |
Abhinaba Chatterjee | Weill Cornell Medical College | Deep learning |
Dimitrios Chatzakis | University of Patras | computer vision, deep learning |
Wing Fung Chau | Cardiff University | Big Data, lipids and metabolites |
Shefali Chaudhary | Yale School of Medicine | Alzheimer's disease, apathy, imaging |
Kapil Chaudhary | Albert Einstein Medical College of Medicine | ROIs, Seed, Striatum, Frontal Cortex |
Madhav Chaudhary | Coventry University | Deep Neural Networks, Alzheimer's, Machine Learning, Data Science |
Kavita Chauhan | UIET PU chandigarh | alzheimer disease MRI PET |
Ganesh Chauhan | Centre for Brain Research, Indian Institute of Science | cerebral small vessel disease, genome wide association, vascular risk factors |
Mohit Chauhan | IIT Indore | survey, literature |
Laurent Chauvin | Ecole de Technologie Superieure | Local Features, Subject Identification |
Shital Chavan | SITS | MRI,CT,AD,MCI |
Hernan Chaves | Fleni | Hippocampal subfields |
Caitlyn Chavez | chapman university | Deep Learning, ML Pipeline, Explainable AI |
Tisha Chawla | Vellore Instittute of Technology | Alzheimer's Attack, Genetic Algorithm, CNN |
Stylianos Chazichronis | National and Kapodistrian University of Athens | Alzheimer's disease, Supervised learning, AD development |
Tongtong Che | Shandong Normal University | group-wise registration |
Aditya Chebrolu | Brain Health Alliance | PET, MRI, co-registration, image fusion |
Gal Chechik | Bar-Ilan University | Deep learning |
Lovena Chedumbarum Pillay | University of Oxford | MCI, AD, Predictive Analytics, Amyloid |
Eu Joe Chegne | University of Queensland | Binary Classification, Perceiver Transformers |
qiuhui chen | Shanghai Jiao Tong University | Spatial-Temporal GCN; Transformer |
Yi Chen | CLA Technology Co., Ltd | Machine Learning, Deep Neural Networks, Early Screening of AD |
Tao Chen | Hefei University of Technology | Deep learning, machine learning |
Xinqi Chen | Guangdong University of Technology | computer vision, generative adversarial networks, synthesis of medical images |
Fang Chen | jackson state university | image deep learning Alzheimer's |
yaru chen | Jiangsu university | Health analysis |
Xiaocong Chen | The University of New South Wales | Early Detection, Machine Learning |
liangming chen | Lanzhou University | neural network, deep learning, Alzheimer |
Bocheng Chen | huazhong university of science and technology | graphic analysis, PET |
Jinglong Chen | Guangzhou First People's Hospital ,South China University of Technology | MCI,dementia,VBM, DTI, functional connectivity,DFPLC |
Yuzhong Chen | UESTC | CNN AD |
Zihao Chen | Shanghai Jiao Tong University | MCI AD predicting model |
Yuchao Chen | WellSIM Biomedical Technologies Inc | extracellular vesicles |
saiyuan chen | 重庆邮电大学 | study |
Hao Chen | Shandong University of Finance and Economics | Brain Network Analysis, Alzheimer's disease, Classification |
futao chen | Nanjing Drum Tower Hospital | AD,SCD,fMRI |
William Chen | MagQu LLC | Longitudinal study, differentiate diagnosis, neurodegenerative diseases |
Zixuan Chen | Sun Yat-sen University | Medical Image Reconstruction, MRI |
Sherry Chen | The University of Sydney | Frontotemporal dementia, longitudinal, neural correlates, cognition |
qiang chen | Donghua University | segmentation |
Yu-Chi Chen | Monash University | cortical morphology, machine learning |
Li Chen | University of Washington | Image processing |
jingyi chen | nanchanghangkonguniversity | MRI, brain segmentation |
yulong chen | zhengzhou university | MRI hippo subfeild segmentation |
Rongqin Chen | Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences | direct and indirect structure-function causal influence in brain |
Geng Chen | Inception Institute of Artificial Intelligence | hippocampus segmentation |
EDDIE CHEN | Stony Brook | machine learning, AI, MCI, AD |
Xiao Chen | Amy Medical University, Daping Hospital | Amyloid PET, Alzheimer’s dementia, Amyloid staging |
Huan Chen | Johns Hopkins Bloomberg School of Public Health | FDR control, variable selection |
Irene Chen | MIT | machine learning, subtypes, disease progression |
kai chen | Xijing University | medical image analysis |
Lin Chen | Johns Hopkins University | MRI, PET |
Christina Chen | University of Pennsylvania | Statistics, imaging |
Shuang-Qing Chen | the Affiliated Suzhou Hospital of Nanjing Medical University | Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning |
Shu Chen | North East University | iconography |
Ziyi Chen | University of Washington | AD |
JIANGWANG CHEN | SUNY BUFFALO | MRI |
Guangxin Chen | University of Auckland | research |
wang chen | Xinxiang Medical University | fmri;Age predicts |
Yingchuan Chen | Beijing Tiantan Hospital | PD, fMRI, machine learning |
Li Chen | Indiana University School of Medicine | GWAS, functional analysis, meta-analysis |
Junjie Chen | Temple University | computational methods, integrative analysis, casual factors |
Siyi Chen | U of MN | GWAS |
haoyuan chen | Northwest Normal University | predict onset time, deeplearning |
Hao Chen | Peking University | gene expression, rs-fMRI, Functional Network, Integrative Analysis |
kehua Chen | shantou University | radiomics, deep learning, genomics research |
Xiao Chen | Nan Jing Agricultural University | Disease development |
Gianna Chen | Shanghai Jiao Tong University | none |
Qiufeng Chen | Fujian Agriculture and Forestry University/China | functional connectivity |
Ziyi Chen | Carnegie Mellon University | Machine Learning coursework project |
changhao chen | National Central University | CNN SVM LR |
Keping Chen | Southeast University | AD; circular RNA |
Jason Chen | Bioclinica | Testing algorithms |
Ling Chen | Zhejianglab | Graph convolutional network |
durong chen | shanxi medical university | Parkinson |
Ming-Hui Chen | University of Connecticut | Uncertain endpoints; Measurement error; Validation subsample; Survival analysis |
SHAOBO CHEN | Jinan University | colorization;regions segmention;unsupervised learning |
Xi Chen | University of Rochester Medical Center | APOE |
yanghui chen | tongji hospital | biomarkers |
Sophie Chen | Beijing University of Technology | fMRI classification |
Shanshan Chen | the Affiliated Brain Hospital of Nanjing Medical University, Nanjing | Alzheimer's disease;Mild cognitive impairment;Subjective cognitive decline |
Lele Chen | Nanjing University | fmir, lifestyle, AD, Comorbidity, brain network |
Yuanyuan Chen | Northwestern Polytechnical University | Alzheimer’s disease; Mild cognitive impairment;Deep learning |
Mingzhu Chen | Fudan University, Shanghai, China | computer-aided medical image analysis |
Yanghaoyu Chen | UF | Machine learning |
Ke CHEN | University of Nottingham | machine learning, early diagnose |
LINFENG CHEN | sixth affiliated hospital of sun yat-sen university | 3D slicer |
bowen chen | Tongji University | course project, deep learning, Alzheimer's disease |
meidi chen | Shanghai Jiao Tong University | FDG AV45 |
Jiu Chen | Nanjing Medical University | AD, aMCI, DTI, sMRI, fMRI |
Michelle Chen | Rutgers University | Intra-individual variability |
Keyu Chen | Liaoning Normal University | Resting state; dynamic; fMRI; Classification |
Haifeng Chen | Affiliated Drum Tower Hospital, Nanjing University Medical School | memorry function; rTMS; multimodal neuroimaging |
Xiao Chen | Beijing Normal University | Alzheimer’s disease,defalut mode network |
Chih-Chieh Chen | CGMH | AD |
Bingzhen Chen | University of Florida | statistical modeling |
zhou chen | HIT(Harbin Institute of Technology) | research deep_learning |
Yujie Chen | Wuhan University of Science and Technology | Alzheimer's disease, Early diagnosis, Conversion prediction |
Quan Chen | wuhan union hospital | freesurfer |
Yihe Chen | Second Affiliated Hospital,Zhejiang University School of Medicine | perivascular space |
Xi Chen | Sun Yat-sen University Cancer Center | Limit sample size; Meta-learning; Model pretraining |
Jiawei Chen | Guangzhou Medical University | AD |
wu chen | Huazhong University of Science and Technology | image processing |
Yi Chen | Zhejiang University | genes, AD, tau, beta-amyloid |
Yiming Chen | University of Maryland | neural network |
sijie chen | Yitu healthcare technology | AD, classification, CNN |
Fangzheng Chen | Shanghai Jiaotong University School of Medicine Ruijin Hospital | cognition AD |
shouyan chen | Guangzhou University | AI; Alzheimer detection |
Gavin Chen | Tianjin University of Technology and Education | czc960229 |
wenhong chen | Jilin university | Neuroimaging,Alzheimer's disease,Genes |
jiamin chen | GDUT | segmentation |
Guan Wen Chen | NTHU | Alzheimer |
Xue Chen | Shandong University of Science and Technology | Alzheimer, Deep Learning, Medical Image Analysis,Computer Science |
YINGJIA CHEN | Genentech | safety |
Bin Chen | Tongren hospital of wuhan university | ApoE, AD, brain, cognition |
HongGuai Chen | NCU | BDBC-2020 |
Baolin Chen | Shanghai Uiversity of Finance and Economics | functional data analysis, samples of density functions |
Gengsheng Chen | Washington University in St. Louis | amyloid, gwas |
Rong Chen | University of Maryland School of Medicine | machine learning |
Ting-Huei Chen | Laval University | structural equation modeling |
Qianyun Chen | The Chinese University of Hong Kong | deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease |
Zhuo Chen | University of Arizona | Data integration |
xiaotong Chen | huashan hospital of fudan university | Alzheimer's disease; biomarker; blood-based |
HONGKAI CHEN | Juntendo University | Life1Dream |
Ruijia Chen | University of California, San Francisco | biomarker studies |
Zebin Chen | Sun Yat-sen University | regression, classification, joint learning, model, visual, interpretable |
Hongyu Chen | Zhejiang University | computer graphics; Medical Imaging |
naijin chen | Anhui Polytechnic University | Medical image analysis |
tao chen | south medical university | 联合基金 |
Kevin Chen | National Taiwan University | deep learning, PET/MRI |
Qian Chen | Nanjing Drum Tower Hospital | Subjective memory complaint, Neuroimage, Biomarker |
Lin Chen | Johns Hopkins University | MRI, PET |
Jinyang Chen | University of Georgia | Deep Learning, Machine Learning, Disease Diagnosis, Classification |
Xiaozheng Chen | Xiamen University | neuroimaging, dynamic functional connectivity, deep learning, |
huachang chen | Vanderbilt University Medical Center | imputation; methodology; evaluation; bioinformatics |
Eric Chen | Indiana University School of Medicine | Tau, Braak regions, PET |
Xiang Chen | University of Leeds | Image Registration, Deep learning |
Gang Chen | Medical College of Wisconsin | fMRI, MRI |
Aidi Chen | Communication University of China | Brain tumour |
Tao Chen | Hefei University of Technology | Deep learning, machine learning, classification |
Weixiang Chen | Tsinghua University | MRI diagnose, Alzheimer diagnose |
GUILIAN CHEN | SHENZHEN UNIVERSITY | unsupervised segmentation |
Chang Chen | Nanjing Drum Tower Hospital, Medical School of Nanjing University | neurologist |
Jingyun Chen | NYU School of Medicine | PET, Tau, Abeta, normalization |
Huimin Chen | Beijing Tiantan Hospital, Capital medical university | cognitive impariment, perivascular space, Abeta/tTau |
Tianhua Chen | University of Huddersfield | fuzzy systems, convolutional neural network, clinical decision support |
Danni Chen | UCLA | deep learning, medical imaging, explainable AI, attention model |
Shuo Chen | National Innovation Institute of Defense Technology | deep learing, super resolution, medical imaging |
Qingmeng Chen | Tokyo Medical and Dental University | DTI, 3D-T1, Multiple sclerosis |
kunxu chen | Sun Yat-sen university | study |
Hanyi Chen | University College London | subtype, disease progression, SuStaIn, AD |
Zhi Chen | University of Electronic Science and Technology of China | computer vision, neuroimaging recognition, classification |
Kefan Chen | university of sydney | Alzheimer's patients |
Gan Chen | University of Louisville | Hidden Markov Model, Disease Progression |
Kuan Chun Chen | National Taiwan University | deep learning, dementia, Alzheimer |
Hui Chen | Shuguang Hospital | Alzheimer's Disease,functional connectivity |
Zeyuan Chen | Shandong Normal University | Registration |
Lin Chen | Chinese Academy of Scie | Alzheimer's Disease Prediction |
zhaoming chen | Beijing Institute of Technology,Zhuhai | Image recognition |
Yu-An Chen | National Yang-Ming University | Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif |
Yu Chen | Central South University | Do some researches about the AD |
zhenzuo chen | Ningbo University | Intelligent diagnosis |
Yu-Jen Chen | National Tsing Hua University | Machine Learning, Disease Prediction |
junchao chen | Beijing University of Astronautics | cjc20011224 |
Zhiying Chen | Capital Medical University | synaptic damage,Nfl |
Shijie Chen | Xuzhou Medical University | PET, super-resolution, GAN, ML |
Xin Chen | University of Nottingham | Longitudinal image feature extraction; disease diagnosis. |
Siying Chen | BUAA university | study |
runhuan chen | nanjing university of Posts and telecommunications | CNN-Transformer model |
jiacheng chen | Zhejiang university of technology | MR image super resolution |
Kevin Chen | Stanford University | multimodal imaging, image post-processing, spatial resolution |
Jinxin Chen | Chengdu University of TCM | alzheimer,sleep disorders,fMRI |
fangyi chen | Hebei University of technology | classification tasks |
Tao Chen | HITSZ | AD, deep learning, diagnosis |
Mingzhu Chen | Fudan University, Shanghai, China | computer-aided medical image analysis, algorithm |
Chao Chen | Stony Brook University | Image analysis, deep learning. |
Wenli Chen | The First Affiliated Hospital, Sun Yat-sen University | growth hormone pituitary adenoma; cognitive function |
jiaao chen | Queen's University | research |
hongyu chen | shanghai Nyuen | fMIR, GCN |
Xu Chen | SAS Inc | Machine Learning |
wuyang chen | Central South University | multimodal,registration |
Battle Chen | FZU | multi-modal |
Jingchun Chen | UNIVERSITY OF NEVADA LAS VEGAS | Alzhemier's disease, polygenic risk score, |
Dingfan Chen | max planck institute for informatics | Anomaly detection, deep generative model |
yunjie chen | Nanjing university of information science and technology | brain mr images |
YuCheng Chen | 國立金門大學 | NQUAI |
Xinyuan Chen | Mississippi State University | functional analysis, survival models |
minghao chen | East China Normal University | Causal Mediation analysis, MRI data,Alzheimer disease |
Chang-Le Chen | National Taiwan University College of Medicine | Diffusion MRI, White matter, Fiber cross-section |
hu chen | Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch | 3D convolution,saliency maps, |
Feng Chen | Harbin Engineering University | network analysis |
Xin Chen | Shanghai East hospital, Tongji University, School of Medicine | Neurodegeneration, Alzheimer,cognitive impairment |
Lihui Chen | Sichuan University | Academic study |
Tao Chen | Wuhan University | Alzheimer’s Disease, visual features, MRI |
Yihan Chen | Beijing University of Chinese Medicine | Cyh112800 |
Wei Chen | West China Hospital of Sichuan University | dementia, cardiometabolic risk factors, genetics |
Hanxi Chen | Shanghai jiao tong university | causal discovery |
Fangyao Chen | Xi'an Jiaotong University Health Science Center | influential factor; Alzheimer's disease;longitudinal analysis |
Liang Chen | University of Macau | miRNA, biomarker |
Chen Zi Yang Chen Zi Yang | Guangdong University of Technology | ADNI ; GAN; image segmentation |
Feixiong Cheng | Cleveland Clinic | artificial intelligence (AI); radiogenomics; Alzheimer's genomics |
Yuanjiang Cheng | Shanghai University of Finance and Economics | MRI, Alzheimer's disease |
minjia cheng | Zhejiang University of Technology | AD |
Xiaoqin Cheng | Zhongshan hospital | machine learning |
Jiaqi Cheng | University of Canterbury | CNNs model interpretability |
siyu cheng | shanghaitech | Alzheimer's disease features extraction |
yongting cheng | Washington University in St.Louis | Segmentation; Diagnosis ;Deep Learning;VAEs-GAN |
WEI CHENG | Southern University of science and technology | machine learning |
Iris Cheng | Brown University | Alzheimer's, sex, apoe, cognition |
Wai Ho CHENG | The Hong Kong Polytechnic University | AD and mild cognitive impairment |
zhiwei cheng | N/A | research |
Ruida Cheng | NIH | brain segmentation and classification |
Weili Cheng | North China University of Water Resources and Electric Power | Time-dependent ROC curves with missing biomarkers |
YYUAN CHENG | JILIN UNIVERCITY | DATASET |
ZHI HSIN CHENG | National Yunlin University of Science and Technology | Alzheimer’s disease machine learning |
Hewei Cheng | Chongqing University of Posts and Telecommunications | multi-modality; classification |
Greta Cheng | NA | ADNI dataset, classfication, 3D CNN |
Xiaoqin Cheng | Zhongshan hospital | inflammation |
XL Cheng | XMU | Image synthesis , Experiments , CGAN |
Xiangyi Cheng | Summer STEM Institute | Alzheimer's, Machine Learning, Disease Screening |
Chenganen Chenganen | GuangDongBaiYun University | ADNI; FCN; GAN; predict |
Tanya Chenhall | Cogstate | Cogstate |
ChenJuan ChenJuan | 中南民族大学 | registration |
Zhang Chenlin | Southwest University of Finance and Economics | 010101icy |
Li Chenping | Central South University | Alzheimer's disease |
Yu Chenxi | China University of Geosciences | alzheimer's disease;Brain morphologic network system |
pang chenxuan | bnu | 123456aB |
wang chenyu | zjut | research |
Chenyu Shen Chenyu Shen | Hangzhou Dianzi University | scy19980415 |
sehyoung Cheong | POSTECH | AD, connectivity |
ibtissem cherfa | université de Bejaia | 01031950 |
Konstantin Chernukha | Temple University Health System | glymphatic pathway malfunction, dementia, screening |
Srikanth Cherukuvada | SRM UNIVERSITY | Image classification, Alzheimer’s disease,Transfer learning, MRI,CNN |
Narayan Cheruvu | University of Illinois Urbana-Champaign | multimodal, deep learning, LSTM, CDR |
Anthony Chesebro | Columbia University | Network Model, Alzheimer's |
Mark Cheung | Carnegie Mellon University | graph neural network, Spectral theory, neuroimage |
Eva Cheung | University of HK | MRI PET AD MCI |
Nikunj Chhabra | Indian Institute of Technology Indore | small group learning, differentiable architecture search |
Yash Rajesh Chhabria | University of California, Santa Cruz | Multimodal Search Engine |
Utkarsh Chhapekar | Manipal Institute Of Technology | Prediction, Alzheimers, Deep Learning |
Matthias Chhoeun | Colorado School of Mines | Data Science |
Zhang Chi | Yanshan university | parkinson |
CHIA-HSING CHI | National Taiwan University | episodic memory, hippocampal subfields, retention performance |
Jingyi Chi | University of Pennsylvania | Deep Learning, GAN, MRI |
lutong Chi | 南京农业大学 | 这。。 |
zhang chi | china university | research |
Chen Chi-ming | National Central University | gene mutation, machine learning, old-age insurance |
Gloria Chiang | UCSF | DTI |
Alessio Chiaramoni | Università degli Studi di Torino | Machine Learning university project |
Brandon Chiazza | Yeshiva University | MRI, Alzheimer's, MCI, Artificial Intelligence |
Yuhei Chiba | Yokohama City University | Immunoogy autoantibody MRI |
Lee Chien-Yi | Brain Navi biotechnology company | AI, image registration |
Matteo Chieregato | Fondazione Poliambulanza, Brescia, Italy | CNN, MRI, CSF |
Junichi Chikazoe | National Institute for Physiological Sciences | fMRI, MVPA |
Nouha Chikhaoui | ESPRIT | Alzheimer |
nouha chikhaoui | ESPRIT university | Alzheimer |
Geetha Soujanya Chilla | A*STAR | Segmentation |
Sri sruthi Chilukuri | San Jose state university | Disease, outbreak, analysis , solution |
Andrea Chincarini | INFN | longitudinal studies, MCI, network, atrophy measurements |
Vernon Chinchilli | Penn State College of Medicine | GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS, |
paneeth chinta | Bangalore Institute Of Technology | Alzheimers, CNN |
Ashish Chinthala | ABV-IIITM | Machien learning, deep learning |
Konstantinos Chiotis | Karolinska Institutet | AD, MCI, PIB, FDG, AV-45 |
Robert Chirwa | Bluegrass College | Machine Learning; Multi-omics; Alzheimer |
Md. Main Oddin Chisty | Khulna University of Engineering and Technology, Khulna, Bangladesh | fMRI, Alzheimer, Lenet-5,vgg16, CNN, alexnet, |
YOGITA CHITRIV | Yeshwantrao Chavan College of Engineering, Nagpur | Brain Image, Alzheimer, Segmenation, Classification |
HSIU HUI CHIU | National Cheng Kung University | brain structure changes |
HSIU HUI CHIU | AcroViz | image artifact |
Yu Wen Chiu | Taipei Medical University | Alzheimer,early detection,assist decision-making,aging society |
Sheng-Chieh Chiu | The University of Alabama at Birmingham | FreeSurfer segmentation |
Hyuna Cho | POSTECH | brain connectivity |
Soo Hyun Cho | Chonnam National University | SNAP |
Hyewon Cho | UNIST | AD early detection, AI, ML, ensemble, multimodality, deep learning |
Hyun Jae Cho | University of Virginia | knowlege extraction, machine learning, Alzheimer's disease |
Sang Kyu Cho | University of Houston - Houston, TX | prognostic factors |
hyugrae cho | samsung electronics | AI, machine learning |
HyungJin Cho | University of Southern California | Alzheimer's Disease Neuroimaging Initiative (ADNI) |
Dong Ho Cho | Korea Advanced Institute of Science and Technology (KAIST) | Machine Learning, Biomarker, Classification, Diagnostic |
Youngbok cho | Daejeon University | Alzheimer's Dementia, MRI, PET, Protein Folding |
Youngjoo Cho | The University of Texas at El Paso | Survival analysis, Prediction models |
sang soo cho | Seoul National University | BrainAge, machine learning, OCD, Shizophrenia |
Sang Yeon Cho | Medical School of Chungnam University | Alzheimer’s disease, microglial phagocytosis |
Patricia Chocano-Bedoya | Bern Institute of Primary Care | metabolomics biomarkers dairy cognition |
Sandra Chocron | UT Health San Antonio | ceramide catabolism |
Mark Choe | NCIRE | Imaging, Processing |
Young Min Choe | Dongtan Sacred Heart Hospital | Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression |
John Choe | OPKO | MCI |
LEE CHOEL HUI | Korea University | Alzheimer's disease |
Hongyoon Choi | Cheonansi Public Health Center | Metabolic network, FDG, Amyloid |
Yera Choi | NAVER Corp. | deep learning, causal inference, multimodality |
Woo Hee Choi | College of Medicine, The Catholic University of Korea | striatum, amyloid PET, tau PET |
Yong-Ho Choi | hanyang university | Imaging genetics |
Yu Yong Choi | Chosun University Hospital | ethnic differences, normal aging |
hyujin choi | korea university | hyunjin |
juyeon choi | kbri | database, web, analysis |
byung hyug choi | KAIST / korea | machine learning, network embeddings, Alzheimer feature extraction |
Junghwan Choi | . | . |
changwon choi | Seoul National University | DTI, SPD, partially linear additive model, Lie groups |
Uksu Choi | Chosun University | Cortical thickness, VBM |
James Choi | Sabio Research | Alzheimer Machine Learning Neural Networks |
Seo-Eun Choi | University of Washington | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
Kyu Sung Choi | Korea Advanced Institute of Science and Technology (KAIST) | follow-up |
Junsik CHOI | Korea Univ. | Deep learning |
Bo Kyu Choi | Yonsei university | prediction model |
Tae-Min Choi | KAIST | Deep learning, classification, early diagnosis |
duck ho choi | Sung Kyun Kwan Univ. | Alzheimer |
Eun Young Choi | Stanford University | thalamus, rsfMRI |
Sunghoon Choi | Korea Research Institute of Standards and Science | Generative adversarial network, synthetic PET |
ByungWook Choi | Daegu Catholic University School of Medicine | PET, serum markers, AST, ALT, ALP, Calcium, TFT |
Jungwon Choi | KAIST | sMRI, Classification, Breain disease |
Jae Won Choi | Armed Forces Yangju Hospital, South Korea | MRI, deep learning, Image-to-image translation |
Yoon Seong Choi | Severance Hospital, Yonsei University College of Medicine | Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET |
chee keong chong | University Teknologi Petronas | CNN, deep learning, classification, |
Shin Wee Chong | Carl-von-Ossietzky Universität Oldenburg | Advance longitudinal modeling, structural equation, bidirectional relationship |
Joyce Chong | National University of Singapore | Biomarkers statistical workshop |
Song Chongchong | BUAA | medical images processing |
Jill Chotiyanonta | AnatomyWorks, LLC | Brain MRI, Neuroanatomy, Segmentation |
Yu Wen Chou | National Chin-Yi University of Technology | Deep learning |
Hsiang-Chin Chou | Massachusetts General Hospital | SEX, 18F-Flortaucipir (FTP)-PET signal, Abeta-PET |
zheping chou | First affiliated hospital of Suzhou University | multi-modal imaging markers cognitive decline. |
YIYU CHOU | CNRM | segmentation |
SOURABH CHOUBEY | Indraprastha Institute of Information Technology Delhi | Detection, Machine Learning, Diagnosis |
Amit Choudhari | Tata Memorial Hospital | dti |
Aadarsh Choudhary | Bengal College of Engineering and Technology, Durgapur | Alzheimer's Disease |
Supriyo Choudhury | Institute of Neurosciences Kolkata | teaching, learning, connectomics |
Jeiran Choupan | USC | PVS |
Vincent Chouraki | Institut Pasteur de Lille | GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker |
Ioanna Chouvarda | VTT | network analysis, causality |
Dhruv Chovatiya | BITS | CNN |
Kwan-Yin Chow | National Taiwan Normal University | Dataset , Skull stripping |
Sulogna Chowdhury | Kansas State University | Data Science |
Anjan Chowdhury | ISI-Kolkata | functional connectivity, Alzheimer, Brain connectome |
Samadrita Chowdhury | University of Massachusetts,Lowell | Graphs, CNN, PET, FMRI |
linkon chowdhury | East delta university | GO_PEPTIDOGLYCAN_RECEPTOR_ACTIVITY |
Luke Christenson | Mayo Clinic | Data, MRI, PET |
Amanda Christini | Blackfynn, Inc | Algorithms, data integration, multimodal data biomarkers |
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 |
Nicholas Christopher-Hayes | UC-Davis | Neuroimaging, neuropsychololgy, hippocampus, memory |
Julia Christy | Newcastle University | neuroscince |
Jiebin Chu | Zhejiang University | Individualized treatment effect,Causal inference, Off-policy evaluation |
Chientiao Chu | Hangzhou Dianzi University | AD;Music;EEG;FC |
Nan Chu | National Central University/CWLab International | brain image data bank, AI analytics, neurotechnology |
Winston Chu | University of Florida | diffusion MRI, AD, free water, basal forebrain |
Wang Chu | Nanjing University of Science & Technology | imaging data |
Yan Chu | University of Texas Health Science Center at Houston | deep learning, time series, AD onset prediction |
Chu Yang Chu | China Jiliang University | Research, learning |
Vivian Chu | Queens College, CUNY | Serial Position Effect, cognitive marker, tau, biomarker, conversion |
Russ Chua | Institute for Infocomm Research | computer vision |
Joshua Chuah | Rensselaer Polytechnic Institute | statistics, proteomics, metabolomics, machine learning |
Adichan Chuajinda | Siriraj hospital | Dementia risk |
xu chuanbin | shandong University of Science and Technology | 1 |
jayrajsinh chudasama | Birla Vishvakarma Mahavidyalaya | dataset mri image with label |
Evgeny Chumin | Indiana University-Bloomington | connectivity, tau, graph theory. |
Ina Chun | n/a | CNN, visualization, deep learning |
Timothy Chun | Veteran's Affairs | Machine Learning |
Min Young Chun | Samsung Medical Center | Alzheimer's disease |
Chang Chun Yang | National Cheng Kung University | Alzheimer , Amyloid PET |
Chang Chun Yang | National Cheng Kung University | Amyloid PET |
Tung Chun-Wei | Taipei Medical University | biomarker research |
Julian Chung | Nanyang Technological University | Machine Learning |
Yunro Chung | Arizona State University | Biostatistics; biomarker |
Jaeyoon Chung | Boston University School of Medicine | GWAS CSVD stroke ICH |
Hyun Jy Chung | Stony Brook University | FWER |
shi chunlei | Beijing Normal University | Machine Learing,Hidden information |
Tang Chunyan | The second affiliated of Chongqing Medical University | tcy972626 |
jiang chunyu | NEU | jcyypbed627! |
YJ CHYU | Brain institue | Thank you |
Claire Ciampa | Brandeis University | atrophy, structural MRI, COMT, DRD2, executive function, memory |
Iacopo Ciampa | Johannes Kepler Universität Linz | AI, Alzheimer, Federated Learning, Deep Learning |
Silvia Ciappelloni | OnePoint Group | images analysis AI deep learning |
Andrea Ciarmiello | Medicina Nucleare - S. Andrea Hospital | Mci trajectory, Deep learning, onset prediction |
Alessandro Cicerale | Università degli Studi di Torino | Hippocampus, ml |
Filippo Ciceri | Oryzon Genomics S.A. | AD progression, PhIIa clinical study |
Filippo Cieri | Cleveland Clinic | resting state; entropy; mci; cognitive reserve. |
Ignacio CIfre | URL | fRMI, dFC, FC |
Davide Cipollini | University of Groningen | AI, neuroimaging, Generative approach, data augmentation |
Emilio Cipriano | University of Pisa | Graph Theory |
Biji CL | University of Kerala | Machine learning , Deep learning |
David Clark | Indiana University | Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency |
James Clark | Diadem | Prognostic, Diagnostic, Biomarkers, CN, MCI, AD |
Andrea Clark-Sevilla | Johns Hopkins APL | precision medicine, brain biomarkers |
Natasha Clarke | CRIUGM | functional connectivity, MRI |
Jamie Clarke | University of Miami | CSF biomarkers, Alzheimer's disease, NPS, NCI |
Tayla Clasper | University of Auckland | Alzheimer's disease, lifestyle, ageing, mild cognitive impairment |
David Clayton | Genentech | image processing, Alzheimer's disease, MRI |
Mark Clement | Brigham Young University | DREAM Challenge |
Christoph Clement | Inselspital Bern | CNN, Deep Learning, AI, Saliency |
Albert Clèrigues | Universitat de Girona | atrophy, pbvc |
Isabelle Cleynen | KU Leuven | polygenic risk score |
Alexander Clifford | University of East Anglia | Machine Learning, Longitudinal Analysis, Alzheimer’s Disease, Neuroimaging |
James Clifford | college of san mateo | Alzheimer's disease |
Sharlee Climer | University of Missouri - St. Louis | Alzheimer disease, combinatorial optimization |
David Clunie | PixelMed Publishing and RadPharm, Inc | DICOM compression |
Bethany Coad | Cardiff University | Thalamus Amyloid |
William Coath | UCL (University College London) | PET, amyloid, SUVR, Centiloid |
Bernard Cobbinah | University of Electronics Science and Technology of China | Convolutional Neural Networks |
Derin Cobia | Brigham Young University | Thalamus, clinical phenotype, AD, neuropsychology |
Yann Cobigo | Unversity of California San Francisco | Dementia, Normal Aging |
Karly Cody | University of Wisconsin - Madison | Biomarkers |
Leandro Coelho | Pontifical Catholic University of Parana | machine learning, fMRI, deep learning. |
Mariana Coelho | FEUP | Fundaments of Image Processing & Analysis; Medical Imaging; Machine Learning; De |
Mirthe Coenen | UMC Utrecht, The Netherlands | white matter hyperintensity, memory clinic patients, lesion symptom mapping |
Hugo Cogo-Moreira | Universidade Federal de Sao Paulo | Dynamic structural Equation modeling, latent variable, multilevel analysis |
Petrice Cogswell | Mayo Clinic | MRI, aging |
Carl Cohen | SUNY Downstate Medical Center | Alzheimer's disease; cognition, course trajectory |
Sigal Cohen | Bar Ilan University | Alzheimer's blood pressure |
Brett Cohen | King's College London | MCI, MRI, phantom |
Cynthia Cohen | California Southern University | Alzheimers |
Isabelle Cohen | The Potomac School | AD, immune system, CSF |
Sara Colantonio | National Research Council of Italy | Artificial Intelligence in Medical Imaging, Explainable AI, Causal Discovery |
Michael Colbus | Liquid Biosciences Inc. | Synapse, validation, insights |
James Cole | Imperial College London | Aging, Machine learning, T1, DTI |
Jaila Coleman | UCLA Health | Upload Images |
Patrick Colletti | USC | Dementia; FDG PET; MRI volumetry |
Brian Collica | University Of California, Berkeley | Capstone |
David Collier | Eli Lilly and Company Ltd | Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s |
Christopher Collins | New York University | MRI safety, SAR, temperature |
Tommy Collins | Emerald Labs | machine learning |
Fraser Collins | Logicearth Services | Alzheimer's Imaging |
Anthony Colombo | University of Southern California | anthony r colombo |
Arzu Coltekin | University of Applied Sciences and Arts Northwestern Switzerland | machine learning, deep learning, automated data analysis |
Robert Comley | Abbvie inc | PET, MRI |
Lin Cong | University of California, Riverside | Modal regression |
Shan Cong | Harbin Engineering University | Structural MRI analysis, genetic analysis, multi-omics, AD |
Lin Cong | University of California, Riverside | Modal regression |
He Cong | Jiangnan University | image registration; Alzheimer's disease |
wamg congcong | anhuidaxue | Visual medicine |
yin congfeng | Tsinghua University | experiment, deep learning models |
William Connelly | University of Tasmania | machine learning, teaching excersise |
Lindsay Conner | University of Central Florida | Adult Development and Aging; Healthy Aging; functional connectivity; structural |
Joanne Conover | University of Connecticut | Aging, Alzheimer's disease, MRI, FLAIR-MRI |
Nicholas Constant | University of Rhode Island | digital cognitive biomarkers |
Maria Constantinou | University of Cyprus | MRI, resting state fMRI, deep learning |
Cat Conti | NCIRE | admin core |
Joey Contreras | USC Keck School of Medicine | Inflammation, conversion, APOEcarrier |
Silvia Contreras | Universidad Autonóma de Ciudad Juárez | alzheimer image processing dementia mri |
Andrea Conway | Indiana University | connectomics, brain networks |
Nick Cooper | Technology company | EEG |
Michael Coopman | University of Texas at Arlington | Medical image registration, Image segmentation, Voxelmorph, Deep learning |
selene copal | Avans | Alzheimer |
Thomas Cope | University of Michigan | machine learning |
Gianfilippo Coppola | Yale University | deep learning, AD subtypes |
Caitlin Corbin | Indiana University - Bloomington | MRI |
Philippine Cordelle | Telecom Paris | Impelmentation of Alzheimer's disease progression score for my Master |
Devani Cordero | Massachusetts General Hospital | segmentation hippocampus |
Aldo Cordova Palomera | Takeda | Neuroimaging, Genetics, Neurodegeneration |
Ronal Coronado | Biomedical Imaging Center, Pontificia Universidad Catolica de Chile | Gridding artifacts |
Filippo Corponi | University of Edinburgh | machine learning; imaging-genomics |
John Corradi | Arvinas, Inc. | CSF, biomarkers, proteostasis |
Nicole Corso | Stanford University | default mode networks, networks, imaging |
Constanza Cortes | University of Alabama at Birmingham | exercise, skeletal muscle, CNS aging, Alzheimer's Disease |
Callum Cory | University of Auckland | Deep learning, brain network analysis, graph theory |
Anne-Caroline Cosendai | Universitätsklinikum Tulln | Repositories, clinical trial |
Josh Cosman | Abbvie Inc. | Cognition, Modeling, Longitudinal Change |
Beatrice Costa | University College London | r programming, neurodegeneration, workshop |
Marisa Costa | Universidade de Vaeiro | Picotinho1** |
Ana Sofia Costa | University Hospital RWTH Aachen | amyloid deposition, microangiopathy, microbleeds, phenotype, progression |
Bruno Costa | USP | CNN |
Antonio Costa Freire | University of Warwick | Alzheimers |
Harry Costello | University College London | Depression, Alzheimer’s |
Alejandro Costoya-Sánchez | University of Santiago de Compostela | Alzheimer's Disease, PET imaging, tau pathology, Flortaucipir |
Victor Costumero | Universitat de València | mild cognitive impairment; fractal dimension; gyrification index |
Olivier Coubard | CNS-Fed | Neuropsychology, Aging, Eye movements, Vision |
Gillian Coughlan | Baycrest | Biomarkers, Alzheimer's disease, resting-state fMRI |
Pierrick Coupé | LaBRI UMR 5800 | hippocampus |
Matthieu Coupet | XLIM | Deep learning MRI |
Megan Courtman | University of Plymouth | Parkinsons Disease, machine learning, AI, neural networks, MRI |
Jared Courtney | The Hill School | high school research |
Elizabeth Couser | University of Maryland, Baltimore | imaging, Alzheimer's |
Oliver Cousins | King's College London | TREM2 CD33 genetic Alzheimer's risk factors. |
Baptiste Couvy-Duchesne | Institute of Molecular Bioscience | Advanced brain aging, prediction, structural MRI |
Jordyn Cowan | Brandeis University | COMT, DRD2, cortical thickness, Alzheimer's |
Hannah Cowley | Johns Hopkins University Applied Physics Laboratory | connectomics, precision medicine, data science |
Timothy Cox | CISRO | Cognitive Composites, PACC, Disease trajectory |
Kevin Coyle | Florida State Univeristy | Machine Learning Biomarker Nueral Network Early Identification Infomation. |
Erin Craig | Stanford University | survival analysis, statistical methods |
Paul Crane | University of Washington | mediation, alzheimer's, biomarkers |
Breanna Crane | Vanderbilt University | Atrophy, Connectivity, MCI |
Skyler Cranmer | The Ohio State University | functional connectivity, deep learning, exponential random graph models, LSM |
Karen Crawford | USC | That |
Byron Creese | King's College London | polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations |
Samuel Crerar | University of Hull | deep learning analysis prediction |
Carlos Crespo | Methinks Software | Deep learning |
Maria Crespo | arraste | processing and MRI |
Ariela Crestani | Sao Jose do Rio Preto Medical School (FAMERP) | lipid metabolism, protein modification, palmitoylation, metabolomics, lipidomics |
Marta Criado | Universidad Complutense de Madrid | deep learning, investigation, prediction, networks |
Ivor Cribben | University of Alberta | Networks; Longitudinal networks; Resting state |
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 |
Alexandru Cristiean | University of Sussex | bachelors |
Greg Cron | The Ottawa Hospital | perfusion, ASL, DCE, DSC, MRI |
Philip Crooke | Vanderbilt University | A-to-I editing, inflammation, biomarkers |
Carlos Cruchaga | Washington University School of Medicine | CSF, plasma, RBM, GWAS, whole-genome |
Heloiza Cruz | PUC MINAS | alzheimer's |
Erica Cruz | Old Dominion University | Machine Learning, Deep Learning, Alzheimers Disease |
Madelyn Cruz | University of the Philippines | Graph Theory |
Hugo Cruz-Suárez | Benemérita Universidad Autónoma de Puebla | Big Data, Hidden Markov Models, Stochastic optimization |
Josephine Cruzat | Universitat Pompeu Fabra | Alzheimer; timescale; whole-brain modeling |
Gábor Csukly | Semmelweis University | MCI, Alzheimer's Dementia, Vascular Risk Factors |
Brian Cuestas | Universidad de Los Andes | MRI, Deep learning |
pengcheng cui | Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences | brain atlases |
kunpeng cui | ZhengzhouUnivercity | medical image registration |
xiaonan cui | hangzhou dianzi university | one class classification |
Ying Cui | Jiangsu key Lab of molecular and functional imaging, Southeast University | diabetes, MRI, dementia, risk factors |
Can Cui | Vanderbilt University | Multi-modality learning |
Jing Cui | Centre hospitalier universitaire vaudois | The Human Brain Project |
Wanxin Cui | Central South University | AD |
Wenxuan Cui | University of Nottingham | MCI, MRI, Machine Learning |
CAOZE CUI | SHANXI MEDICIAL UNIVERSITY | images MRI pet |
jian cui | Institute of Automation,Chinese Academy of Sciences | Scientific research, AI medical diagnosis |
Licong Cui | The University of Texas Health Science Center at Houston | Informatics tool, ontology, hypothesis generation |
Dong cui | 1978 | cd_ggh100200 |
JIANAN CUI | Massachusetts General Hospital | medical image processing |
derek cui | PUMC | Hippocampus, thalamus, amygdala subregion |
Yuhan Cui | University of Pennsylvania | AI; AD; neuroimaging; genetics; cognition; machine learning |
Jing Cui | GSK | endophenotype GWAS, subtype AD |
Tolga Cukur | Bilkent University | Learning-based registration |
Kamryn Cullen | George Mason University | Biomarkers, Data Analytics, Health Factors |
Nicholas Cullen | Lund University | clinical trials, power analysis, screening, enrichment |
Nicholas Cullen | Lund University | plasma |
Irene Cumplido Mayoral | BarcelonaBeta Brain Research Center | amyloid, machine learning, prediction, classification |
Charles Cunningham | University of Toronto | 13C lactate ANLS |
Isabel Curioso | Associação Fraunhofer Portugal Research | Multimodal, machine learning, missing inputs |
Geoff Currie | Charles Sturt University | artificial neural network, machine learning |
Sean Curtin | IAM | Alzheimers vs. Healthy Brain Research |
David Curtis | UCL | sequence variant DNA |
Daniel Cutter | University of Birmingham | CNN, conv net, convolutional neural network |
Renjith CV | JSPM RSCOE | deep learning |
Max Cynader | University of British Columbia | Alzheimer's Disease, machine learning, cognitive impairment risk |
Esha Cyril | Pioneer Academics | highschooler, neural networks, ADNI data |
Alexis Czippel | University of Victoria | Superagers, superaging, functional connectivity |
Per Steffen Czolbe | University of Copanhagen | Medical Image Registration |
VIJAYANAND D | NANYANG TECHNOLOGICAL UNIVERSITY | TDA |
Abirami D | Sri G.V.G.Visalakshi college for women | Alzheimer disease, Data set |
Nakul Pranao D | Kumaraguru College Of Technology | Alzheimer's Disease Prediction |
Inbasagar D | Sathyabama Institute of Science and Technology | Alzheimer, CNN, Deep learning, |
Saai Sudarsanan D | SASTRA Deemed to be University, Thanjavur | Data Analytics, CNN Algorithms, Machine Learning, GatesNotes |
SREEDEV D | CommScope Inc. is an American global network infrastructure provider company bas | MRI |
ty d | Shanghai Maritime University | fMRI |
SRUTHI D S | TKM College of Engineering Kollam | multi-modality diagnosis |
Federico D'Agata | University of Turin | hippocampus; machine learning |
Giovanni D'Ambrosio | University of Guelph | Impact, MRI, |
Xiao Da | Cognito Therapeutics | data analytics |
Bendan Da | Beijing University of Technology | Alzheimer's Disease |
Ling Da | Ningbo University | machine learning、CS |
Lucas Da Costa | College | Convolutional Neural Network, AD diagnosis, MRI |
Anuschka da Silva Spinola | University of Coimbra | machine learning, prediction models, biomarkers, Alzheimer's disease |
Baik Da young | Hankuk University of Foreign Studies | medical image analysis with deep learning |
Sanaz Dabiri | Howard University | Alpha-synuclein, inflammation, tau, AD |
Zhang dachuan | FUDAN UNIVERSITY | study |
Michael Dada | Federal University of Technology, Minna, Nigeria | Machine learning, MRI, ANN |
Mahsa Dadar | McGill University | small vessel disease, white matter hyperintensities |
Mahed Dadgostar | MISP_mui | fmri nifti |
Kamalaker Dadi | INRIA | fMRI |
Davod Dadravan | Tabriz univercity | Rest state fmri |
Anant Dadu | UIUC | Machine Learning, Predictive Modeling, Alzheimer's Disease, Progression |
QIN DAFEI | The University of Hong Kong | Alzheimer's Disease Prediction, Graph Convolutional Networks, Explainable AI |
Jeffrey Dage | Eli Lilly and Company | Biomarkers |
Dale Dagenbach | Wake Forest University | functional connectivity, hubs, AD |
Joseph Dagher | The MITRE Corporation | T1w, MRI, identification, biometrics |
Mathieu DAGREOU | ENS Paris-Saclay | Disease progression score, Biomarkers, Alzheimer's disease, statistical model |
yousra dahdouh | fst | image medical,biomarquer |
SAVITA DAHIYA | Galgotias University | Hippocampus, Alzheime's disease, region based, clustering |
Robert Dahnke | University Aarhus | gyrification |
Zhengjia Dai | Sun Yat-sen University | Alzheimer's disease; functional connectivity; structural connectivity |
yl Dai | Central South University | Multimodal Data Analysis; Diagnosis of Alzheimer's Disease |
yulin dai | University of Texas health science center at Houston | GWAS, CSF tau concentration, AD |
Wei Dai | Chinese PLA General Hospital&Chinese PLA Medical School | deep learning; functional network;Independent Component Analysis |
songmin dai | Shanghai University | positive-unlabeled learning |
Qi Dai | Beijing University of Technology | Research needs |
Haixing Dai | University of Georgia | NAS PET |
Zongyu Dai | University of Pennsylvania | Missing data imputation |
Zhengjia Dai | Sun Yat-sen University | Alzheimer's disease; functional connectivity; model |
Yichao Dai | Shanghai Maritime University | FMRI deep learning network |
Ke xuan Dai | Communication University Of ZheJiang | Dynamic Brain Connectivity Preprocessing |
Weihang Dai | Hong Kong University of Science and Technology | Brain Age, Semi-supervised regression |
Shijie Dai | Xiamen University | Brain, Stroke,AIS |
xijian Dai | Kangning Hospital in Shenzhen | old people, cognition |
Jiayi Dai | University College London | Alzheimer’s disease progression modelling |
duwei dai | Xi'an Jiaotong University | Medical image analysis |
Xiangwei Dai | Beijing Normal University | amyloid deposition, grey matter |
Xi Dai | Renmin University of China | 111 |
Peng Dai | Ryerson University | deep learning, LSTM, explainable AI |
tomomi daigo | Nara Institute of Science and Technology | medical image synthesis |
Ryo Dairiki | Eisai Co., Ltd. | MCI-to-AD-conversion |
Hiromitsu Daisaki | Gunma Prefectural College of Health Sciences | Deep learning AI PET |
HARSH DALAI | NIT RAIPUR | ADNI |
Josue Luiz Dalboni da Rocha | Univeristy of Geneva | DTI, freesurfer, parahippocampal gyrus, AD, MCI |
Adrian Dalca | Massachusetts Institute of Technology | medical image analysis, genetics, DREAM challenge |
Anders Dale | University of California, San Diego | image analysis, statistics, test and validate |
Daffa Damadhika | None | Alzheimer's Diagnosis Using Machine Learning Approach |
HARITHA DAMARLA | MATURI VENKATA SUBBARAO ENGINEERING COLLEGE | Mutimodal, image, cinical/patient personal information |
Pablo Damasceno | UCSF | neurodegeneration; brain atrophy; neuropathology |
stefano damiani | The Royal Hospital | Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance |
Haleh Damirchi | Amirkabir university of technology | Neuroscience, machine learning, Statistics |
Jessica Damoiseaux | Wayne State University | functional connectivity, hippocampus, cognition |
hong dan | xiamen | study adni |
hong dan | xiamen | study adni |
huy dang | Penn State University | functional data, spiky data, function estimation |
jiajun dang | qiqihaerdaxue | 数据 |
Hao Dang | Beijing University of Posts and Telecommunications | deep learning |
Lam-Ha Dang | Columbia University Irving Medical Center | down syndrome; neurofilament light chain; genetics; GWAS; biomarkers |
Vien Dang | University of Barcelona | bias, fairness |
Christa Dang | University of Melbourne | cognition, MRI, APOE, longitudinal, biomarkers |
Ebenezer Daniel | City of Hope National Medical Center | MRI |
Anton Danker | Royal Institute of Technology | Alzheimers Dementia Vascular Dementia Transfer Learning |
Dominic Danks | University of Birmingham | Dimensionality Reduction; Pseudotime; Biomarker modelling; Disease progression |
Garrison Danley | Mass General | mri, motion, artifacts |
Christian Dansereau | Perceiv Research, Inc. | Biomarker, progressors prediction, cognitive decline |
Hákon Dansson | Chalmers University of Technology | AI, Machine learning, β-amyloid, plaques |
Thanh Thuy Dao | The university of Queensland | neuroimaging, reproducibility |
Zhang Daoan | Southern University of Science and Technology | GNN, CNN |
Rayees Dar | Islamic University of Science and Technology | CNN, Deep Learning, Artificial Intelligence, Medical Imaging |
GOWHAR DAR | LOVELY PROFESSIONAL UNIVERSITY PUNJAB | CNN,DEEP LEARNING,AUTOMATED |
Rushi Dar | no | data scientist |
SUHAIL AHMAD DAR | Aligarh Muslim University | Alzheimer's, MCI, Deep Learning , Diagnosis |
Sumanth Dara | University of California Riversid | MRI, Substantia Nigra, Locus Coeruleus, Machine Learning |
Sajad Darabi | University of California, Los Angeles | Machine Learning, Heterogeinity, Clustering |
Ryan Darby | BIDMC | cognitive reserve, executive, semantic, neuroimaging |
Oscar Darias Plasencia | Universidad Internacional de La Rioja | Alzheimer, machine learning, artificial intelligence |
Muazzez Buket Darıcı | Kadir Has University | Brain Age Estimation, Artificial Intelligence, Predict Alzhmeir |
Caroline Dartora | PUCRS | Brain Connectivity, Alzheimer's Disease, MRI, PET |
Erfan Darzidehkalani | UMCG | Medical , deep learning, GANs |
Debarpan Das | University of Alberta | Registration |
Anisha Das | Florida State University | neurology, Alzheimer |
Ruchika Das | Tezpur University | Alzheimer analysis |
eashita das | Dr. Eashita Das | data mining, analysis |
Priya Das | Kalinga Institute of Industrial Technology | biomarker, machine learning, MRI, AD |
Ayantika Das | HTIC,IITM | Classification of brain MRI |
Dulumani Das | Gauhati University | Image Processing . segmentation. MRI. |
Priya Das | Kalinga Institute of Industrial Technology | biomarker, machine learning, MRI, AD |
Sandhitsu Das | University of Pennsylvania | hippocampus MCI |
Sikta Das Adhikari | Michigan State University | statistical model |
Srihitha Dasari | iResearch Institute | Alzheimer's disease, gray matter, white matter, hippocampal volumetry, MRI |
Sneha Dasgupta | Heritage Institute of Technology | Alzheimer’s Disease, MRI |
Aishee Dasgupta | Chennai mathematical Institute | TDA |
Suryansu Dash | College of Engineering and Technology, Bhubaneswar | Dementia Classification, Deep Learning, detection of onset |
Ashkan Dashtban | University College London | Brain Imaging, Cognitive Impairment |
Nikolaos Daskalakis | McLean Hospital/ Harvard Medical School | SNPs, biomarkers, machine learning |
Adam Datta | SWPS University of Social Sciences and Humanities | convolutional neural network, image identification, MRI, Alzheimer’s Disease |
Ritobrato Datta | Johnson and Johnson | resting state fMRI, tau-PET |
Rohan Datta | Army Institute of Technology | deep learning, fMRI, CNN |
Prasun Datta | Bangladesh University of Engineering & Technology | Brain MRI Scan |
Aigerim Dautkulova | Clarmont Auvergne University | subcortical |
Deana Davalos | Colorado State University | TBI, biomarkers, dementia, pathological aging |
Zeinab Davarani | Isfahan University of Technology | fMRI images, Alzheimer disease |
Christos Davatzikos | University of Pennsylvania | classification, MCI, conversion to AD |
Pranjal Dave | Ryerson University | Deep Learning, Computer Vision |
Alice Davies | University of Birmingham | neuroimaging, dementia, machine learning |
Cintia Davila Rodriguez | Illinois Institute of Technology | deep learning classification |
Wade Davis | FAU | MTL, EMCI |
Noelle Davis | UC Berkeley | PET blood plasma alzheimer's |
Ragavamsi Davuluri | Gudlavalleru Engineering College | Alzheimer |
Gerry Day | Louisiana State University | deep learning neuroanatomy segmentation |
Eran Dayan | University of North Carolina at Chapel Hill | resting state, connectivity, machine learning |
Chaitra Dayananda | Chosun University | AD |
Nasireh Dayarian | Faculty of Electrical Engineering, K. N. Toosi university | source localization, alzheimer |
Akshay Daydar | IITG | Data analytics, Disease prediction |
wang dayu | henan university | greduate student reaserch |
Arijit De | Jadavpur University | classification; prediction; alzheimer's |
Bianca De Blasi | Ixico | Medical imaging analysis, Biomarkers |
Renske de Boer | Quantib B.V. | evaluation, segmentation |
Marleen de Bruijne | Erasmus Medical Center | image analysis |
Alex de Crespigny | Genentech Inc | training, teaching |
Manlio De Domenico | Universitat Rovira i Virgili | Multilayer networks |
Giovanni De Felice | University Of Liverpool | kernel regression, Multidimensional Time Series, |
Robin de Flores | University of Pennsylvania | MTL tau atrophy AD |
Johann de Jong | UCB | patient stratification, disease progression |
jose miguel de la casa | deloitte | machine learning , neuronal network cnn |
Raelynn de la Cruz | Cleveland Clinic Nevada | dementia, Alzheimer's, hippocampus, aggression |
Angel de la Vega Jimenez | University of Granada | Deep learning, CNN, Alzheimer disease |
Siemon de Lange | University Medical Center Utrecht | connectome, structural connectivity, Alzheimer, MCI |
Alberto De Luca | UMC Utrecht | diffusion MRI, connectivity |
Ashley De Luna | University of California, Merced | classification, neural networks |
Amy De Lury | Stony Brook University | Alzheimer's Disease, MCI, MRI, cortical thickness, subcortical volumes |
Matteo De Marco | University of Sheffield | Alzheimer's disease, mild cognitive impairment, resting state |
PEDRO MANUEL RODRIGUES DE MOURA | UFG | Data Science |
Fernando de Natali Frascá | Universidade Federal de São Carlos - UFSCar | segmentation, medical images |
Pedro Renato De Paula Brandão | UNIVERSITY of Brasília | Parkinson, dementia, MRI, DTI |
MAURIZIO DE PITTA | BASQUE CENTER FOR APPLIED MATHEMATICS | biomarkers, neuron-glial, astrocytes, inflammation, ROS, transcription factors |
Itziar de Rojas | Fundació ACE | sTREM2 |
Micol de Ruvo | Philyra UG | Parkinson's, olfaction, machine learning |
Susan De Santi | Eisai | Normal controls, Mild Cognitive impariment, biomarkers, cognition |
Lisa Anita De Santi | Università di Pisa | Deep Learning, CNN, XAI |
Maxim De Schaepdryver | KU Leuven | Biomarker course |
Senuri De Silva | University of Moratuwa | machine learning MRI fMRI PET |
Eric de Silva | University College London | polygenic risk scores; cardiovascular disease |
Amanda De Silva | University of Technology Sydney | Machine Learning, Alzheimer's Disease |
Maria Stefania De Simone | IRCCS Santa Lucia Foundation | Mild cognitive impairment; Memory; Voxel-based morphometry; Longitudinal study |
Paul De Sousa | Massive Analytic | data science machine learning, neurodegenerative diseases, blood biomarkers |
Edson de Sousa Silva | IESB | Machine Learning Biomarkers Artificial Intelligence Deep Learning |
Wieske de Swart | Radboud University | cognitive decline, survival analysis, clinical data, machine learnin |
Wieske de Swart | Radboud University Nijmegen | Alzheimer's disease, deep learning, multi-modality, incomplete data |
Javier De Velasco Oriol | Instituto Tecnologico y De Estudios Superiores de Monterrey | Machine Learning, Deep learning, Genomics |
Alyssa De Vito | Brown University | intraindividual variability |
Bob de Vos | Amsterdam University Medical Center | deel learning, super resolution |
Rashid Deane | University of Rochester | Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula |
Duilio Deangeli | Laboratorio Plasmas Densos | OC-SVM, morphologic and shape analysis, index disease |
Alison Deatsch | University of Wisconsin - Madison | FDG PET, deep learning, CNN, diagnosis, biomarker |
Drew DeBay | Cubresa Inc. | PET, MRI, Attenuation Correction, PET quantification |
Tanmay Debnath | PDPM IIITDMJ | bioinformatics, artificial intelligence |
Rodrigo Debona | UFSC | hippocampus, volumetry, stereology |
Charles DeCarli | University of California at Davis | MRI, cerebrovascular disease |
Summer Decker | University of South Florida Morsani College of Medicine | morphometrics |
Berina Dedovic | Faculty of Electrical Engineering University of Sarajevo | dataset; alzheimer; eeg |
Matthew Defenderfer | University of Alabama at Birmingham | computation |
Ana Defendini | University of Pennsylvania | Imaging |
samuella degbey | Altran | image processing brain pathology |
Farzaneh Dehghani | University of Esfahan | Alzheimer's disease, deep learning |
Hamed Dehghani | Neuroimaging and Analysis Group (NIAG) | machin learning, agnig, cognitive impairement |
PRIYANUJ DEHINGIA | ASSAM ENGINEERING COLLEGE | Alzheimer's, Deep Learning |
Amir Dehsarvi | University of Aberdeen | biomarkers |
diego deigo | National Chiao-Tung University | Causal Discovery |
Casval Deikum | Chinese Academy of Science | slurm test |
NILAM DEKA | ASSAM ENGINEERING COLLEGE | ALZHEIMERS DATASET |
Vishal Narayan Deka | National Institute of Technology, Silchar | Deep Learning, Medical Imaging, Early Detection of AD |
Martina Del Giovane | Imperial College London | dMRI, dementia, neuropsychiatric, neurodegeneration |
Emilie Delage | Université de Montréal | Semantic memory; Alzheimer's; identification |
Motahare Delbari | Tubingen university | neuroscience |
Andrea Dell Orco | Charite Berlin | wmh |
Stefano Delli Pizzi | Univesity of Chieti-Pescara | Alzheimer's Disease, Biomarkers |
Antoine Delmas | Syneika | transcranial magnetic resonance target |
Olivier Delrieu | SAS FifteenKay | Consulting, C4X Discovery Ltd |
zeynep demir | University of California San Francisco | ADNI |
Ali Demir | Massachusetts General Hospital | biomarker, tractogram, postprocessing |
Beatrice Demiray | Technical University Munich, Germany | Deep Learning; Neural Networks; Detection; Segmentation; Multi-Modal |
Harriet Demnitz-King | University College London | Biomarker statistics |
lingling dend | CSU | 2d REHO AD functional activity |
Simin Deng | Southern Medical University | SMC NC |
mujiang deng | Beijing University of Aeronautics And Astronautics | deep learning model |
Xinling Deng | Tongji University | Deep learning, the diagnosis of Alzheimer's disease |
Simin Deng | Southern Medical University | SMC NC |
Ianien deng | Beijing University of Aeronautics And Astronautics | dmj66622 |
Shengfeng Deng | The Fifth Affiliated Hospital of Sun Yat-sen University | Alzheimer's disease |
ZhengZheng Deng | Shanghai Brain Science and Brain-Inspired Intellegence | data-mining, big data, Alzheimer's disease |
Zhenhong Deng | Sun Yat-Sen memorial hospital, Sun Yat-Sen University | Dementia; mild cognitive impairment; single nucleotide polymorphism; prognosis; |
Jinxian Deng | MSU | AI, model |
Shuangge Deng | South China University of Technology | Alzheimer's disease, machine learning, diagnosis |
Simin Deng | Tungwah Hospital of Sun Yat-Sen University | Subjective cognitive decline |
jieping Deng | Jinnan university | whole-genome association analysis,Alzheimer's disease |
guodeng deng | ningxia | registration |
Shiling Deng | Chongqing University of Posts and Telecommunications | undergraduate thesis, academic usage |
Yu Deng | Kings College London | Medical Image Analysis; Domain Adaptation; Deep Learning |
Yatsen Deng | Harbin Institute of Technology | AD hippocampus morphological changes |
Tian Deng | Sun yat sen university | artificial intelligence,Medical image processing |
sun dengbo | Nanjing University of Science and Technology | Alzheimer’s disease |
Stijn Denissen | Vrije Universiteit Brussel | MRI, Brain Age, Deep learning, Transfer Learning, Cognition |
Marie Deprez | INRIA | Deep Learning, Imaging Genetic |
Rezwan Derakshan | urmia university | data mining |
Huseyin Derbent | University of South-Eastern Norway | Deep Learning, Convolutional Neural Networks, Alzheimer's Disease, Classifcation |
Mustafa Dere | UNCG | deep learning |
Natan Derek | Southern Taiwan University of Science and Technology | FMRI, DEEP LEARNING |
amine derra | hassiba ben bouli | AI |
Urvi Desai | Analysis Group | MCI or Mild AD, disease progression, cognition, function, behavior |
Shekha Desai | Vishwakarma Government engineering college | Early detection of AD, ML approach for AD diagnosis |
juhi desai | In-Med Prognostics | volumetric |
pranav desai | scet | machine learning |
Krish Desai | Leland High School | neural network |
Marie Deserno | University of Amsterdam | autism, neurodegenerative disorders |
Aditi Deshpande | Aditi Deshpande | cerebral vasculature, time of flight |
Akshay Deshpande | University of Queensland | machine learning, artificial intelligence, healthcare |
Antoine Désilets | Université de Sherbrooke | GPR3, GPCR |
Anita DeStefano | Boston University | Alzheimer, genetics, association |
Meng Detao | Beijing Rehabilitation Medical College, Capital Medical University, Beijing, Chi | Parkinson's disease; activity of daily living |
Kacie Deters | UCSD | alzheimer's; cognition; biomarkers |
Vivek Devadas | Banner Alzheimer's Institute | Kewei Chen |
Gabriel Devenyi | Douglas University Mental Health Institute, McGill University | MRI |
uma devi | bharathiyar University | PET image |
Denise Dewald | University Hospitals Cleveland Medical Center | sleep apnea, soft palate, tongue position |
ding dewen | Chongqing University Of Posts And Telecommunications | adni |
Blake Dewey | Johns Hopkins University | mri, ct, synthesis |
Dibakar Dey | TCS | AI |
Debojyoti Dey | Personal | ML based explorations |
Sanjoy Dey | IBM Research | AI |
Rishi Dey Chowdhury | Indian Statistical Institute | Brain Imaging Genomics, Machine Learning, Genomic Association |
khalifa dhahie | ljmu | final year project |
Mukesh Dhamala | Georgia State University | Infra-slow network activity and time delays |
Saumil Dhankar | Independent voluntary research for IEEE BDBC 2020 challenge | Diagnosis, Symptoms, Assessment, Cognitive, Demographics, Imaging, MR |
Shravan Dhar | UVCE | Alzheimer |
Moyez Dharsee | Ontario Cancer Biomarker Network | integration, analysis |
Priya Dharshini | P. A. C. E. T | Adni database |
Sriram Dharwada | Indian Institute of Information Technology, Nagpur | Deep Learning model using CNN and LSTM |
Andrew Dhawan | Cleveland Clinic | SNP, CSF biomarker, Imaging correlate |
Akshay Dhayal | NITK Surathkal | Image segmentation, Alzheimer, ML |
eric dhillon | univ of toronto | MRI volumetric analysis regional cortical white matter |
Shivani Dhiman | University of Delhi | Early Detection |
Radman Dhrubo | Bangladesh University of Professionals | Machine Learning, SVM, KNN, NN. |
Xiong dhui | WHU | Segmentation |
Hao Di | XJTU | Result repeat |
Xin Di | University of medicine and dentistry of new jersey | connectivity, pet |
Francesco Di Lorenzo | University of Sussex | AD, functional conncectivity, ApoE, computational model, disease progression |
Batoul Diab | Tarbiat Modares University | Alzheimer's, deep learning, artificial intelligence |
yang diandian | AnHui University | GCN, PET, sMRI |
Alisha Dias | St. Francis Institute of Technology | Detection, Stage, Alzhiemers |
Maria de Fátima Dias | University of Coimbra | Ageing, Deep Learning, Regression |
Mauricio Diaz | Inria | AD, Deep Learning |
Jose David Diaz Roman | Universidad Autonoma de Ciudad Juarez | Deep learning, transfer learning, Alzheimer classification, |
Mehdi Diba | Shahrood University of Technology | ADNI data analysis,deep learning |
Stefano Diciotti | University of Bologna | texture analysis, fractal analisys, machine leaning, MRI |
Bradford Dickerson | Massachusetts General Hospital | MRI, PET, cortical thickness, MCI, AD |
Philip Dickinson | McGill University | resting state, connectome wide association |
Ellen Dicks | Amsterdam UMC | Alzheimer's disease; MRI; PET; CSF |
Chen Die | Zhejiang Gongshang University | Zhejiang Gongshang University,analyze the paper |
Donna Dierker | Washington University School of Medicine | ADOPIC |
Kersten Diers | German Center for Neurodegenerative Diseases | quality control; statistical modeling |
Louis Dieumegarde | IUSMQ | Database |
Ibai Diez | Massachusetts General Hospital | AD, fmri, DTI, PET |
Rebecca DiGati | American College of Radiology CRI | Flortaucipir, AV1451, Tau, Florbetapir, AV45, PET, Amyloid |
Leonardino Digma | University of California San Diego | Tau, amyloid, PET, MRI, GWAS, polygenic risk |
Allison Dillon | Genentech | dictionary |
Konstantina Dimaki | Wentworth Institute of Technology | Alzheimer's disease, prediction |
Georgios Marios Dimakidis | Ionian University | Bioinformatics, Data Analytics, AD |
Xuemei Ding | Ulster University | Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction |
Jiayuan Ding | VMware, Inc | Machine Learnrinig |
Wencai Ding | HMU | AD neuroimaging |
zichen ding | Weifang Medical University | Longitudinal data, cross-sectional data, genetic data, causal inference, machine |
Shaodong Ding | Beihang University | domain adaptation |
Yuan Ding | New York University | For Course Project |
Chen Ding | Shenzhen Institutes of Advanced Technology Chinese Academy of Science | brain image |
Mengyuan Ding | Brigham and Woman's Hospital | protective, WGS, AD , validation |
yuhang Ding | baidu | download and study |
Shiyi Ding | Central South University | statistics |
jie Ding | Nanjing Tech University | ADNI data |
Ke Ding | 东华大学 | Biospecimens、MRI、PET、Genetic |
Changchang Ding | Shanghai University | PET;FMRI |
Xiyu Ding | Johns Hopkins School of Medicine | research, phd rotation |
Ke Ding | 东华大学 | ADNI、MRI |
Xiuhua Ding | Western Kentucky University | sleep Apnea, APOE, Amyloid-beta |
Chen Ding | Shenzhen Institutes of Advanced Technology Chinese Academy of Science | brain image |
Xian Ding | Chinese Academy of Medical Sciences and Peking Union Medical College | batch effect removal method test |
Yanyi Ding | Carnegie Mellon University | Machine Learning |
Ivo Dinov | UCLA | Alzheimer's disease, statistics, shape |
Nicola Dinsdale | University of Oxford | hippocampus machine learning |
ALIOU DIOP | Gaston Berger University | censored data; survival analysis, functional data analysis |
Tyler Diorio | Purdue University | white matter hyperintensity, periventricular, stress |
Christos Diou | Harokopio University of Athens | deep learning, neural networks, interpretable machine learning |
Ibrahima Diouf | University of Melbourne | Alzheimer's, amyloid pathology, Tau, cell adhesion molecules |
Ottavia Dipasquale | King's College London | rs-fMRI, molecular-enriched fMRI analysis, REACT |
Djesse Dirckx | Radboud University | Dynamic survival analysis, machine learning, MATCH-Net, cognitive decline |
Maheshi Dissanayake | University of Peradeniya | Alzheimer , MRI |
Manvi Diwakar | Indian Institute of Technology BHU,Varanasi | Alzheimer disease prediction using machine learning |
sai smruthi diwakar | SASTRA UNIVERSITY | Final year project on prediction of alzheimer's |
anoop dixit | Collective Cure | Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec |
Sudhanshu Dixit | Jaypee Institute Of Information And Technology | Use ADNI dataset for College Project |
Daniel Dixon | University of Southern California | Alzheimers |
Khethiwe Dlamini | University of the Free State | R, Python, unsupervised learning, MRI, PET, big data |
anoop dobhal | PEC Deemed to be Univerisity India | DL, ML, CNN |