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Investigator Institution Keywords
Milin 'Kim NORMENT / University of Oslo norment normative modeling
ANIMESH KUMAR -- National College of Ireland BRAIN AGE, MRI, DEEP LEARNING, PREDITION
sakshiwala . National institute of technology patna mild cognitive impairment, resting functional MRI, brain functional network
Mayank . IIT BHU Varanasi GAN
Ankita . Chitkara University Classification, Alzheimers, Deep Learning
Rishabh . Gautam Buddha University AD, MCI, DL, Python, AI models
1 1 中南民族大学 study
6 78 National Taiwan University starrain0819
Shrihari A IIT Guwahati MRI, T1, HV, CNN
Sasithradevi A Vellore Institute of Technology disease diagnosis
XY A 山东大学 GCN, AD,Machine learning
Suganya A VIT University Alzheimer, classification,deep learning
Talha Fathima A St.Joseph's college of engineering 3D CNN
Sai Darahas A National Institute of Technology Andhra Pradesh neuroimaging
ananda kumar a - research
Revathi A SRM Institute of Science and Technology machine learning
a a a a
Srinivasan A CSIR-CMERI Alzheimer's Disease
Thushara A TKM College of Engineering AD,MCI,Brain graph, rsfmri,DTI,Tractography
Jismi K A College of Engineering Trivandrum Alzheimer's Disease, mild cognitive impairment, Cognitive impairment
Shravya A VCET Puttur MRI
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
Amirali Aali Mashhad university of medical sciences FMRI, resting-state, prodromal
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
Salah Abbas Northwest Missouri State University VAE, GAIN
Hawraa Abbas Kerbala University Dementia classification
Zeeshan Abbas Jeonbuk National University deep neural network, Alzheimer, omics
Shahzad Abbas bzu research
amal abbas university of Al-Qadisiyah Alzheimer disease diagnosis
Syed Qasim Abbas La Trobe University, Melbourne Discriminate Atrophy Localization
sarwat abbas fast nuces lahore pakistan alzheimer datamining
Kainat Abbasi Habib University 3DCNN, Adam(), SGD()
ali abbasi Urmia University of Technology Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne
sahand abbasi K. N. Toosi university computer vision, deep learning, AD
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
Adham Abdalmageed University of Southern California ADNI
Moloud Abdar Institute for Intelligent Systems Research and Innovation (IISRI) deep learning, Fusion, uncertainty quantification
Doha Abdelaal AinShams Graduation project-AlZahimer MRI
REEM ABDELAZIZ cairo university research
Mohamed Abdelaziz Shenzhen university Alzheimer’s disease, multimodal data
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
LEBAL Abdelhamid ensh blida deep learnin, attention mechanism, neural network
Moro abdelhamid Ain Shams University epistasis and SNPs
KERCHAOUI Abdelilah Mohammed V University "MRI" and "ADNI"
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
Boukaache Abdelnour Guelma University Detection, Alzheimer, Disease, Intelligen
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
ines abdennaji ENIG biomedical image analysis
Tarek ABDENNAJI ENIT Neuron
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
Amirabbas Abdoli Iran GAP-43, DTI, Alzheimer's disease
Rouhollah Abdollahi Janssen Pharmacuiticals Tau, Connectivity
Mehdi Abdollahpour Amirkabir university of technology-Tehran Polytechnic Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN
Leah Abdul-Reda McGill University Hormones neurodegeneration
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
Kainat Abdullah National Textile University Alzheimer's disease , AD
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
Khadidzha Abdullaieva Karolinska Institutet comorbidity, biomarker, AD
Hassan Abdulrasul University of Toronto neurodegeneration
Masahiro Abe Juntendo University Alzheimer's desease
Kie Abe Yokohama City University School of Medicine neuroinflammation
Hiroki Abe Yokohama City University / Japan Alzheimer
heydar abedi Amirkabir university of technology (Tehran polytechnic) Alzheimer disease - MR images
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
Rasheed Abid Illinois Institute of Technology Quantitative Susceptibility Mapping
Hassan Abida Cadi Ayyad University ADNI, Research, VGG, CONVLSTM
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
Anwar Abouelenien Alexandria University, Faculty of Engineering Deep Learning, CNNs, LSTMs, Early Detection
Tisha Abraham GE Deep Learning
Shilpa Abraham Cochin University of Science and Technology, Kerala, India Explainability, Deep learning, saliency maps
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
Mohammed Aburidi University of California Merced domain adaptation, domain shift, medical image analysis, deep learning
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
Anuja Acharya KIIT University KIIT University , Alzheimer's Disease
Fella Achouri AYDIN University Alzheimer, Hippocampal, Machine Learning, Deep Learning, ADNI
Sarah Ackley UCSF Alzheimers, Tau, Mathmatical Modeling
Noriaki Adachi MSD. K.K. (Japan Branch of Merck) threshold
kazuamsa adachi SORD CORPORATION DTI-ALPS,ALPS-index
Nikolaos Adaloglou INSA segmentation, medical imaging
Sufiyan Adam Atma Ram Sanatan Dharma College CNN, Classification, Research
Walter Adame Gonzalez McGill University Machine Learning, Dementia, TBI, MRI
Jenna Adams UC Irvine resting state functional connectivity
Steven Adams NCIRE (data scientist/statistician candidacy) research
Hieab Adams Erasmus MC University Medical Center Neurodegeneration, high-dimensional data, brain imaging, genetics
Roy Adams Johns Hopkins University risk prediction; machine learning
Tobias Adamsen Aalborg University Super resolution, PSNR, SSIM
Victor Adankai Florida A&M University Dataset
Victor Adankai Florida A&M University Machine, Deep , Learning, Image, Analysis
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
Raima Adhikary Jahangirnagar University Alzheimer's, Hippocampus, atrophy, MRI
Avizit Chandra Adhikary Florida State University Disease progression, Deep Learning
Prasad Adhiyaman Vellore institute of technology, chennai Ml model
Elnura Adigozalova Akdeniz University PET images
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
Tamare Adrien University of Florida amyloid/tau pathology, white matter hyperintensity, cognition, functioning
khadar afghan KLE's Technological University mini project on segmentation on brain mri
Awan Afiaz University of Dhaka Causal Inference, Joint Modeling, Longitudinal Data
Moslem Afrashtehmehr Shahid Beheshti University of Medical Sciences Alzheimer’s Disease Diagnosis, Decision Support System, Computer-Aided Diagnosis
Vera Afreixo University of Aveiro Data Analysis; statistics
Yaw Afriyie SDD University of Business and Integrated Development Studies capsule network, computer vision, deep learning
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
Saeid Agahian Erzurum Technical University Alzheimer’s disease diagnosis, Deep Learning, LSTM,
Iman Aganj Massachusetts General Hospital / Harvard Medical School Brain connectivity
Abhi Agarwal Health Banyan Medical
Ishaant Agarwal BITS Pilani KK Birla Goa Campus, Sancaole, Goa Unet, segmentation, deep learning
Amit Agarwal USC Tau, microglia, neurodegeneration
Ajay Agarwal DIT University Alzheimer's Disease, Progression
Tanay Agarwal Vellore Institute of Technology GAN
Varun Agarwal N/A The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge
Hrithik Agarwal Malaviya National Technology of Jaipur Alzheimer's Disease using Graph Signal Processing on Neuroimaging Data
Siddharth Agarwal University of Nottingham brain age, chronological age, delta, radionics
Snigdha Agarwal Heritage Institute of Technology Alzheimer’s disease; graph theory; mutual information; network model; connection
Shruti Agarwal JHU fMRI
Kushagra Agarwal Indian Instiute of Engineering Science and Technlogy,Shibpur Alzheimer's Detection
Deevyankar agarwal Higher College Of Technology MRI,Alzhimer DIsease,MCI
Rashi Agarwal CSJM University cognitive impairment, fMRI, sMRI
Bless Agbley University of Electronic Science and Technology of China Federated ML, Multimodal Medical Analysis
Kunal Aggarwal Amity University Machine Learning, AD, MCI
Arshiya Aggarwal Manipal University (MUJ) Jaipur Alzheimer's, MCI, Early diagnosis, Convolution Neural Network
Saurabh Aggarwal A*STAR Progression, Disease Modelling
Anay Aggarwal Stoller Middle School behavior test scores
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
Parth Agrawal IIT Kanpur Machine Learning, Image Processing, 3D-CNNs
Amitesh Agrawal NIT Raipur alzeihmers
Vismay Agrawal Indian Institute of Technology Madras Medical Image Analysis
Shubham Agrawal OVGU ADNI
Ambuj Agrawal Elucidata Inc. Project, Alzheimers prediction, IIIT Allahabad
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
Tyler Agyekum Mcgill university MRI, Microstructure, dMRI, qMRI,
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
Abdul Basit Ahanger Islamic University of Science and Technology Alzhimer
Hilit Aharoni Segev Bar Ilan University Personalized Federated Learning , Segmentation
Zoheb Ahasan IIT Delhi AD, Prediction
Jamila Ahdidan Aarhus University AD, hippocampus, prediction
Jayshree Aher MIT World Peace University, Pune Machine Learning. Data Analyti
Priti Aher Savitribai phule pune university consensus multiview clustering model for AD progression, academic project
Asha Aher San Jose State University Machine Learning Alzhmeirs
Shakeeb Ahmad Indiana University Alzheimer's Disease, Cerebral Amyloid Angiopathy
Fayyaz Ahmad UNIVERSITY OF GUJRAT SPM, FMRI
Ijaz Ahmad Chosun University Privacy-preserving deep learning model, medical image analysis
Rauf Ahmad Uppsala University, Sweden High-dimensions; Multivariate statistics; Linear models, Dependence measures
Muhammad Faraz Ahmad Riphah International University Faisalabad Alzheimer’s Disease
Hessam Ahmadi Islamic Azad University, Science and Research Branch fMRI, Non linear, graph theory, functional connectivity
Fahimeh Ahmadi Bushehr University of Medical Sciences Alzheimer disease, Mild cognitive impairment, prefrontal cortex and hippocampus
fateme ahmadi amirkabirunivercity mri t1
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
Sabbir Ahmed Jiangnan University CNN, Alzheimer's
Khandakar Tanvir Ahmed University of Central Florida mutation, MRI image, Alzheimer
USAMA AHMED Riphah International University Machine Learning
Mohammed Ahmed Sudan international university Alzheimer's, detection,MRI,
Faseeh Ahmed IIT Madras Alzheimer's Disease, Deep Learning
Mansoor Ahmed Lahore University of Management Sciences Neuroimaging, CSF biomarkers, Early-onset Alzheimers, Genetic biomarkers
ismail ahmed University of Anbar BRAIN ANALYSIS
Mughis Ahmed UOG Multiple sclerosis
zubair ahmed Nust university EME college Pakistan Early Alzheimer Detection
Tasnim Ahmed Islamic University of Technology Biomedical Image Processing, Neural Networks, Machine Learning
Kamran Ahmed Daffodil International University AD detection
zubair ahmed Nust university EME college Pakistan Early Alzheimer Detection
Akhyar Ahmed University of Potsdam Demetia, AI, Machine Learning
Ayesha Ahmed University of Edinburgh ALZHIEMERS,CNN,MACHINE LEARNING,MRI,PET
reem ahmed KAU Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Ear
Juweiriya Ahmed Western University Psychosis, AD
Biyar Ahmed Pennsylvania State University College of Medicine Olfactory deficits, Alzheimer's disease, fMRI
Mahinour Ahmed Faculty of science Access to data
Fahad Ahmed Szabist University computer vision, alzheimer’s disease, brain, mri
Tahera Ahmed Bond University Alzheimer's, Early Detection, Prediction
Jeongyeol Ahn Seoul National University Machine learning, Alzheimer disease, MRI
MOHA AHN GONGTO Alzheimer's Disease
Kyungmin Ahn Keimyung University SRVF, shape analysis
Yong Yeol Ahn Indiana University network, multi-omics, data integration
Minkyu Ahn Handong Global University Alzheimer's Disease, Random Forest, Magnetic resonance imaging
Mobassir Ahsan East West University hippocampus, semantic segmentation, deep learning
Narendra Ahuja Univ of Illinois at Urbana-Champaign Machine learning, Representation Learning, Computer Vision
Jiang Ai zhongguojiliangdaxue study
zhuang ai Xinjiang university Alzheimer's disease;Deep Learning
zhuang ai Xinjiang university Alzheimer's disease;Deep Learning
Marco Aiello Fondazione SDN Diaschisis, PET, MR, connectome, brain connectivity
David Airey Eli Lilly and Company NfL hippocampus biomarker
Paul Aisen University of Southern California Alzheimer's, disease progression models
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
azizeh akbari Hakim Sabzevari University fMRI- alzheimer's disease- ADNI
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
said akça Sakarya University of Applied Sciences Deep Learning, Artificial intelligence, Alzheimer's,
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
DUYGU AKIN SAYGIN Necmettin Erbakan University RADİOLOGICAL,ALZHEİMER.
Grace Akindele Hebei University of Technology, China Alzheimer's diseases, autoencoder, Neuroimaging
Haya Akkad University College London speech dementia logopenic
umit akkaya gebze technical university vision transformer
Essang Akpan University of Pittsburgh lateralization, asymmetry
Mohammad Akradi Shahid Beheshti University OSA, AD, MCI
Farhan Akram Khalifa University Alzheimer, early prediction, convolutional neural networks, deep learning
Muhammad Haroon Akram Bahria University Islamabad ALPHA
Wasim Akram East West University detection, deep learning, early-onset Alzheimer, mri
samina akram ucp DTI, Alzheimer's disease ,DTI images
SAMINA AKRAM UCP DTI
Mina Akrami Bahonar MRI images
Alexander Aksenov UCSD metabolomics
IBRAHIM AKSIT Gazi University Anomaly,Detection,Alzheimer,advanced,deep,learning, model
Leon Aksman UCL structural MRI, longitudinal analysis, imaging genetics
Leon Aksman USC test
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
Mobarak Hossain Al-Mamon Khulna University of Engineering & Technology Mobarak1807113@
Ali Al-Nuaimi Plymouth University brain disorder
Murad Al-Nusaif Dalian medical university AD
Khaleel Al-Rababah DAKOTA STATE UNIVERSITY DWT
SAMI AL-SHARABI UNIVERSITI TUNKU ABDUL RAHMAN deep learning CNN Alzheimer's disease prediction classification
Hazem Al-Takleh Damascus University Machine Learning, Software Engineering, Mobile application Development.
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
Mohammad Alam Ulster University assignment
Saruar Alam University of Bergen AD, IBS, Insula, Segmentation
Fariha Alam Chittagong University of Engineering & Technology Monte Carlo, Alzheimer, Biomarker
Raquib-ul Alam University of Sydney longitudinal,mri,mri,pet,genetic
FARIHA ALAM university teknologi malaysia neuro imaging, data process, neuroscience,
Aftab Alam Hazara university mansehra no
Tanvir Alam Hamad Bin Khalifa University Alzheimer's Disease; Mild Cognitive Impairment; SNP; Machine Learning
Md Ashad Alam Tulane University Robsut kernel, Machine lerning
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, Machine learning, CNN
Maitha Alarjani King Faisal University Alzheimer's disease, brain Signals, Deep learning, 3D-CNN, Neuroimaging
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
Seyed Mohammad Amin Alavi Ahvaz Jundishapur University of Medical Sciences Tensor-based Morphometry; Alzheimer's disease; Magnetic Resonance Imaging
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,
Saad Albawi University of Diyala Deep Learning, Alzheimer’s disease,
ADEM ALBAYRAK Alzheon APOE4, RAVLT
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
Tom Aldridge University of Nottingham alzheimers, lc-ne, white matter
Turki Alelyani Najran University machine learning, Alzheimer, MRI
ab alen Central South University deep learning
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
Ali Algumaei Concordia University ADNI Alzheimer
Faisal Alharbi University of Bristol Natural Language Processing, Transfer Learning, Multi-Modalities, Machine learni
Afnan Alhassan Shaqra University sMRI, AD, OTSU segmentation, EFEHO, DA-MIDL.
Lea Alhilali Barrow Neurological Institute Diffusion tensor imaging
Soriah Alhuthifi University Mmm
rachid Alhyane FSC Ben M'sik Deep Neural Network, Detection Alzheimer’s Disease
Nawazish Ali Istanbul Medipol University Early stage alzheimer prediction
Samr Ali Concordia University machine learning, hidden markov models
Muhammad Ali Washington University in St. Louis Amyloid, Imaging, GWAS, genetic, biomarker, AD.
Basharat Ali UET PESHAWAR, Pakistan Deep learning, Machine learning
shahad ali Technical College of Management MRI dataset
Sarwan Ali Georgia State University Alzheimer's disease detection, Deep learning, classification
Raiyan Ali Jamia Millia Islamia Machine learning, neurodegenerative,
Abdullah Ali Swarthmore College Imaging Genetics, AV1451-Tau, PET
Asghar Ali Harbin University deep learning
Mohd Hanafi Ali The University of Sydney Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
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
Waqar Ali UCB disease clustering, progression
Ameen Ali Tel Aviv University MRI , Super Resolution , alzheimer’s detection
Aya Ali Nile university Master project, data fusion, disease detection
doaa Ali University of kentucky Preclinical AD - amyloid PET images_ Cognitive function tests
Sepand Ali Madad Soltani K.N. Toosi University of Technology Machine Learning, Deep learning, Neural networks, Alzheimer's detection
Nyurbek Aliev None Normal-pressure hydrocephalus, brain atlas, segmentation
Hasna Noor Alifa Gadjah Mada University Alzheimer Disease, Therapeutical Nuclear Medicine
Kevin Aliko Epoka University CNN, AD
sanam alilou Iran university of medical sciences, Tehran, Iran. long non coding RNAs, Alzheimer
mohammad alimorad azad datamining
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
Milad Alipour University of Tehran brain network, brain diseases, AD, brain disorders
farzad alizadeh tums fmri,deep learning
mohammadreza alizadeh university of guilan Alzheimer's disease
mohammadreza alizadeh university of guilan saeed1500
Shorouq AlJarad Jordan University of Science and Technology MRI, Deep Learning, CNN
Zahra Alkabbaz University of Leeds Alzheimer explainable classifier
Rawan Alkady misr international university Alzheimer's disease
Nora Alkhaldi King Faisal University TADPOLE
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
Mona Alnaggar Artificial Intelligence faculty CNN classification
AMAL ALNASSER KFSH BREAST
davide aloi university of birmingham alzheimer, deep learning
Mohammed Alom Cork Institute of Technology Machine learning, Deep Learning,
eya aloui enstab data set predict alzheimer
Sherly Alphonse Vellore Institute of Technology Alzheimer, machine learning,bio-markers
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
Norah Alroomi IAU Alzheimer Disease, Deep Learning, MRI, CT
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
Maryam Alsameen NIH Neurite density index; NODDI; MCI; Alzheimer’s disease; White matter.
Anas Alsayed Uskudar University CNN, MRI, THESIS
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
Haifa Alshehri Taif University early diagnosis ,Alzheimer , Classification
fatima alshehri KSU Ff19811981
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
Samet Altuntas Gazi University Deep Learning
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
Malena Alvarez Rottemberg Instituto Tecnologico de Buenos Aires Metabolic Connectivity, MRI, PET
Francesca Alves Florey Alzhiemers Biomarkers
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.
Cláudia Alves Universidade do Minho MRI, Entorhinal cortex, Hippocampus, AD
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
Hazem Amamou ENIT #DeepLearning #Alzheimer #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
SAI SANTOSH AMBATI NITK SURATHKAL Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
udaya kumar ambati IIT Hyderabad Deep Learning, GAN, Transformers
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
Ludovica Maria Amedeo Universidad de Sevilla TDA, Connectome, Thesis
Nisreen Amer HBKU Feature extraction, classification, preprocessing techniques
LAMYA AMGHAR INPT CBIR,capsnet
Elena Amigo University of Aberdeen Volumetry, comedication
Sadia Amin BRAC University AD,Neural network
Manish Amin University of Florida fMRI, DWI
Engr. Amin COMSATS University Islamabad - Wah Campus volume
Nishta Amin Johns Hopkins Medicine, Kennedy Krieger Institute morphometry, Alzheimer's
ACHAIBOU Amina Ecole national polytechnique d'alger TEP , detection , neurodegenrative deseas
yahiaoui amina Blida university MRI/PET
Eriza Aminanto University of Indonesia classification, alzheimer
Kouda Amine DZ ADNI
Morteza Amini Institute for Cognitive Science Studies Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Nastaran Amini Cleveland Clinic Nevada Classification Machine Learning algorithms
Hamed Amini Tehran 913151001HaA
haniyeh amini UMSU AD, CSF, biomarkers, Genes
Morteza Amini Shahid Beheshti University Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Yasin Amini khuarazmi university Prediction, ANN
Nasrin Amini Shahid Beheshti University of Medical Sciences Alzheimer , MRI, classification
Dan Amir The Hebrew University of Jerusalem rest-state fMRI, functional tradeoffs, functional connectivity
Nikan Amirkhani Tehran University of Medical Sciences TabPFN, Alzheimer's, Dementia screening
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
Abdesalam Amrane CERIST ADNI; CAD
Aniverthy Amrutesh Dr Ambedkar Institute of technology ML analysis
ZAREEN AMTUL Independent Rsearcher Alzheimer's disease, diagnosis
Shan An Beihang University classification
Xiao-Lin AN Hebei University Fine classification
Lijun An National University of Singapore ML, AD
hamid ananbestani Amirkabir University of Technology Alzheimer’s,classification,segmention
hamid ananbestani Amirkabir University of Technology Alzheimer’s,classification,segmention
Samarth Anand Meerut Institute of Engineering and Technology Research, Machine Learning, Thyroid Detection
Anjana Anand SSN College of Engineering Deep learning, Data Augmentation, GANs, medical image
Aayush Anand Padre Conceicao College of Engineering Synthetic Data Generation
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
Chinmaya Anchan JSS Science and Technology University ALZHEIMER, FALSE POSITIVE, DECREASE
Sami Andberg University of Eastern Finland Alzheimer's disease, early detection, machine learning
Spiffy Anderson UCSF Research, neurosurgery, cool, jazz, fun, vibes
Loretta Anderson University of Maryland, Baltimore APOE, Alzheimer's, Epigenetics
John Anderson Carleton University multishell, NODDI, aging, cognitive reserve
Cole Anderson University of Washington WMH, Imaging
Deanti Andew Jiamusi University MCI classification algorithm
Christina Andica Juntendo University Graduate School of Medicine Diffusion MRI, Free-water imaging
Alexandre Andrade IBEB - Faculty of Sciences Univ. Lisbon Connectivity; biomarkers; MCI; multimodality
Rene Andrade Rey University of Alcala de Henares vbm, alzheimer
Daniel Andreani UBA AD
Kieran Andrew Banner Health executive function, cortical volume, cognition
Akhilome Andrew Lagos state University of Science and Technology Dementia Datasets
Daniel Andrews McGill University MRI, cognition, demographics, Alzheimer's, MCI, prognosis, mixed effect model
Thomas Andrews Imperial College London Machine Learning, AI, near-symbolic AI
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
Sandeep Angara National Library of Medicine Deep Learning, Medical Imaging
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
Farhan Anjum University of Management and Technology CNN
Zonera Anjum National University of Computer and Emerging Sciences Dementia, Alzheimer
Nafisa Anjum Chittagong University of Engineering & Technology Alzheimer's, applied machine learning
Nick Ank scetech image to image translation, GANs
Veenit Ankam Cognizant Image classification, Analysis, disease prediction
Jeffrey Anker Clemson University Amyloid beta oligomers
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
Aamir Ansari Univ.AI MachineLearrnig Research Study Artificial Intelligence
FAIZAH ANSARI MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION
Manon Ansart university of Burgundy machine learning, automatic diagnosis
Luigi Antelmi INRIA joint analysis; biomerkers
Luis Alberto Antillon Batres Universidad Autonoma de Ciudad Juarez Brain tumor, neural network, image processing
Joliz Anton Anna University Classification, Alzheimer's disease
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
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
Sathvik Appana Einstein College of Medicine CNN
Eline Appelmans Foundation for the National Institutes of Health PPSB
Frank Appiah American Public University mixture modeling, prediction, cognitively intact
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
João Victor Aquino Correia UFC - Federal University of Ceará - Quixadá Campus Alzheimer's machine learning research
Hayato Arai ONO PHARMACEUTICAL CO., LTD. clinical trial simulation
Arsen Arakelyan Institute of Molecular Biology NAS Armenia spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis
Itsasne Arangoa Mondragon Unibertsitatea MRI preprocessing
Allen Arani University of Houston Alzheimer's, Convolution, Machine Learning,
Kumarran Arasaretnam Birkbeck University Alzheimer's
João Araújo University of Cambridge Kaggle, Genentech competition
João Araújo University of Cambridge Kaggle, Genentech competition
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
Derek Archer Vanderbilt University Medical Center white matter, diffusion MRI
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
Joan Maria Arenas Gomez Neurobiology Research Unit BrainAGE
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
fatemeh arghavan semnan university Alzheimer's disease diagnosis , MRI images
fatemeh arghavan semnan university Alzheimer's disease diagnosis , MRI images
Georgette Argiris Columbia University graph theory, AB-negative, resting state functional connectivity,
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 CT Scan, Alzheimer's Disease, Research
Bushra Arif Ned University Of Engineering And Technology Machine Learning , Alzheimer's Disease Detection, Machine Classifiers
Kazuto Arihara The University of Tokyo Hospital I will write it later.
Taylor Ariko Florida State University DTI, Alzheimer's Disease, connectivity
Taylor Ariko University of Miami Alzheimer's disease, hearing
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
Seyed Amir Arjmand university of Tabriz Alzheimer's disease
Hanieh Arjmand University of Toronto Alzheimer; Machine Learning, Medicss
Kubranur Arl' Fatih Sultan Mehmet University volume reduction, alzheimer,
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
Farhan Rahman Arnob University Of North Texas phenogeneranker
Thomas Arnold University of Pennsylvania Cortical thickness, cortical atrophy
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
Victor Arnt UFRGS early stage, mri, pet, Biological Markers
Amit arora ptu MRI, Mammography, image processing, Deep learning, machine learning
Jai Arora Netaji Subhas Institute of Technology, New Delhi Na
Ayushri Arora Jktech Alzheimer's classification
Ashok Arora ABV - Indian Institute of Information Technology and Management, Gwalior interpretability, healthcare
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
naciye nur arslan dumlupinar university deep learning, alzheimer disease
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
Sahitya Arya Graphic Era Deemed to be university 97
Akhilesh Arya Manipal University Jaipur, Rajasthan India Alzheimer's Disease, AD, MCI, Neuro-degenerative
Nikhilanand Arya Indian Institute of Technology Patna Deep learning, Multimodal
sahitya arya Graphic Era Deemed to be university 97
Samyam Aryal SRM Institute of Science and Technology Deep learning, Image enhancement, Filters
saeed aryanmehr Islamic Azad Univercity Deep learning, Alzheimer's disease, MRI, CNN
saeed aryanmehr Islamic Azad Univercity of Isfahan(Khorasgan) Branch Alzheimer's disease, Deep learning, MRI, CNN
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
Babak Asadpour Shahid Beheshti University of medical sciences Alzheimer's disease, magnetic resonance imaging, white matter hyperintensities
bahareh asadpour ferdowsi university of mashhad research, sMRI, AD, alzheimer's disease
MD Asaduzzaman Khulna University of Engineering and Technology Request for ADNI dataset
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
Hamidreza Ashayeri Tabriz university of medical science GAP43 - tensor based morphometry - alzheimer
calvin Ashe Maynooth University Final year project; Students; Covid-19
Miriam Ashford NCIRE Clinical
Wes Ashford Stanford leptin, Alzheimer, blood, dementia
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
MURAT AŞIK ISTANBUL MEDENIYET UNIVERSITY DTI
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
Zitouni Asma Larbi Ben M'hidi universty indexation ,annotation
Toshihiko Aso Kyoto University Graduate School of Medicine BOLD signal, cerebral blood flow, venous drainage
Amanullah Asraf KUET AD, CNN, DSA- 3D CNN
SITI AISYAH ASRI UiTM aisyah
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
John Aston University of Cambridge Functional Data Analysis; Geometric Analysis; Genetic Analysis
arman atalar Eskisehir Osmangazi University deeplearning, alzheimer disease, apoe4
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Melvin Selim Atay Middle East Technical University Deep Learning, Explainability
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
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
Matthew Aton Banner Alzheimer's Institute Quality control, freesurfer, image analysis
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
zn Aus Tsinghua University machine learning
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
Tyler Averett University of Arizona Maximum-likelihood, estimation, noise cancellation
Arman Avesta Yale University Deep learning, image segmentation, structural brain MRI
Andreas Avgoustis Ionian University desision support system,master degree
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
Dai AX University Of Shantou predictive nomogram of AD
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
deniz ayvaz boğaziçi university lstm, irregular time series
sezin ayvaz tazi.ai classification, use-case
Sevilay AYYILDIZ Kocaeli University Alzheimer Disese's, healthy elder, connecitivity
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
Fayez Azeez Our Memos Inc cognitive decline
Syed Furqan Azeez Biocliq Technologies Brain Tumor
BERNARDO AZEVEDO City University of London Medical image segmentation task
Flavia Azevedo State University of Campinas (UNICAMP) Explainable Artificial Intelligence; Alzheimer's disease; Early diagnosis
samad azimi shahroodtu deep learning
Abu Zahid Bin Aziz Rajshahi University of Engineering & Technology deep Learning, medical imaging
aniza Aziz xylexa genomic data
Md. Tarek Aziz Independent University, Bangladesh N/A
Ahmad Aziz German Center for Neurodegenerative Diseases genome-wide association study, neurofilament light chain, Alzheimer disease
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
Amirmohammad Azizzadeh Tabriz University of Medical Science tensor based morphometry, neuropathology findings
MIR AZRA NIT Srinagar DEEP NEURAL NETWORK, ACCURACY TEST
darnisa azzahra Universitas UPN Jakarta Alzheimer's image dataset
Vijayalakshmi B Mepco Schlenk Engineering College MR Brain Image, Segmentation, Deep Learning
Jamal Mohamed B SSN COLLEGE OF ENGINEERING,CHENNAI Alzheimer
jawahar b kongu engineering college dataset
RAJU B Svuce Image processing
Dhanalakshmi B Rapid tech solutions LSTM
Sathyabhama B Panimalar Engineering College Brain diseases, prediction/detection
Deepika` B Manukau Institute of Technology analysis
shwetha B sjce Alzheimers, MRI, Wavelets, SVM
Keerthana B Vidyavardhaka College of Engineering Deep Learning, Classification, Detection, CNN
priyadharshini B VIT data ,Alzheimer
Sruthika B Vellore Institute of Technology Alzheimer's disease, Tesla MRI data
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
Rudhra B IIITMK PARKINSON
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
Seitaro Baba Kyushu Institute of Technology dementia, Classification, image registration
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
BILEESH BABU VELLORE INSTITUTE OF TECHNOLOGY Brain age prediction, deep learning
Vladimir Babushkin UAEU epilepsy,seizures
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
Eunchan Bae University of Pennsylvania Segmentation
Jinhyeong Bae IUPUI Deep learning, Alzheimer's disease, Alzheimer's disease genetic risk factors
Hyunjung Bae Seoul national university M-IPAD
Jihyun Bae Gachon University Test module, Alzheimer's disease(AD)
jaehyung bae Seoul National University Hospital brain MRI
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
Joelle Bagautdinova University of Pennsylvania neuroimaging
Ali Baghayeri Shahrood University of Technology preprocessing data
Ali Baghayeri Shahrood University of Technology ADNI data analysis
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
Haleh Bahadori-Nejad University of Washington project
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
Xiaoyu Bai Northwestern Polytechnical University Deep learning; MCI; AD
Wenjun Bai ATR dynamic effective connectivity
Wenjia Bai Imperial College London image segmentation
Wenhao Bai Shaanxi normal university deep learning
Haotian Bai Shanghai University machine learning
Yang Bai WHUT 123456
Jianling Bai Nanjing Medical University Alzheimer's disease,GWAS,Radiomics,gene-environment or gene-gene interactions
Kun Bai University of Michigan gene expression, DEG, ANOVA
Zhiyang Bai Northwest Normal University deep learning
xinhao bai Henan university of technology medical image registration and segmentation
Ahmed Baig University of Queensland perceiver transformer, neural networks
xiao baihui JILIN University 135246xbh
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
Ashish Bajpai Cognizant Predictive Alzheimer Disease Progression using both the PACS & EMR data
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
Gokhan Bakal Abdullah Gul University text mining, machine learning, artificial intelligence, data mining
Susan Baker Janssen R&D Diagonsis, Progression, Biomarkers
Suzanne Baker Lawrence Berkeley National Lab longitudinal glucose metabolism
Ron Baker University of Kentucky Alzheimer's AD Dementia CARTS
Suzanne Baker Lawrence Berkeley National Laboratory AV45, R1
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
mahdiyeh bakhshi Shahid Bahonar University of kerman Transfer learning
Akhil Bakhshi KCL Schizophrenia
Mahdiyeh Bakhshi Shahid Bahonar University of kerman 1q2w3e4r
mahdi bakhshi iran brain
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
Somrita Bakshi Indian Statistical Institute PET, MRI, PIB, AV45
Kavitha Bakshi Ryerson Medical Machine Learning
Abhishek Bal Calcutta University PET datasets, brain
Abhishek Bal FIEM Medical iamages processing
Diponkor Bala Islamic University-Bangladesh Brain MRI
Rukku Bala Ericsson Inc. dementia, alzheimers, mri, ai, clinical data
PAVITHRA BALA LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING ALZHEIMERS , EEG
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
Sai Sanjay Balaji University of Minnesota Deep learning, Causality, Brain connectivity
Nair Bini Balakrishnan Hindustan Institute of Technology and Science Alzheimer's, Reinforcement Learning, Deep Learning
Meenakshisundaram Balasubramaniam University of Arkansas for Medical Sciences drug discovery
kishore balasubramanian Dr MCET CNN, bio insired algorithms
Vahid Balazadeh Meresht University of Toronto Privileged Information, Causal Graphs, Time-series, VC-dimension
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 Explainable AI, Early Alzheimer, Embedding
Cristiano Baldassari Università Gabriele D'Annunzio di Chieti Pescara early alzheimer, topological data analysis
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
Dimitrios Baltos Aristotle University of Thessaloniki CNN, Alzheimer's, Neural Networks, Computer Vision
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
Alireza Banan Birjand university brain age estimation, brain age gap
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
Debojit Banerjee Jadavpur University MCI, Research, AD
Swayam Banerjee Jadavpur University Deep Learning, Image processing, Alzheimer's Detection
Abhijit Banerjee Dr. B C Roy Engineering College, ECE Deep Learning, Classification
Sweta Banerjee Leibniz Institute for Analytical Sciences - ISAS Alzheimer's, imaging, python, coding
Sattwika Banerjee INSTITUTE OF NEUROSCIENCES KOLKATA Alzheimers, Morphometric Analysis
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
Shivansh Bansal JECRC University Medical Image, MRI, CT Scan
Ketan Bansal National Institute of Technology Andhra Pradesh Artificial Intelligence, Deep Learning, NIT, India, Research
Deepika Bansal The NorthCap University Gurugram Machine Learning, Deep Learning, MRI Image
SANCHIT BANSAL the university of hong kong -
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
Pham Hoai Bao International University - VNU-HCM Artificial Intelligence
Lu Bao Nanjing Normal university Functional data analysis,FPCA,Block-wise missing data,Data imputation
liyan bao null null
Shancheng Bao TAMU MRI, Ultrasound
rui bao University of Science and Technology Beijing seraphim19730521
YIWEN BAO University of Hong Kong amyloid-PET
QiHan Bao Weifang Medical University statistics Instrumental variable
jinzhou bao Beijing Normal University research
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
Robert Barber University of North Texas Health Science Center Alzheimer's disease genetics
Philip Barber University of Calgary stroke; TIA; brain atrophy; dementia
Justin Barber University of Kentucky neuropsych testing, education, amyloid, wmh
János Barbero Northwell Health machine learning, convolutional neural networks
Florin Barbisch FHNW visual analytics, machine learning
Jordan Barbone Cogstate AD, CBB, Staging
Jordan Barbone West Chester University Independent, personal use
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
yassine Barhoumi MRIMath LLC Image registration and segmentation
Marco Barilari Universitè Cathoulique de Louvain VBM
Marco Barilari Universitè Cathoulique de Louvain VBM
Berardino Barile Université Claude Bernard Lyon 1 Artificial Intelligence
Giuseppe Barisano University of Southern California perivascular spaces
Warren Barker Mount Sinai Medical Center Amyloid, cholinesterase inhibitor, memory
Nilesh Barla PerceptronAI AI, ML
chris barlow The Open University AD, Dementia, MCI, Biomarkers, Trisomy 21
Kumar Deep Barman North-Eastern Hill university, Tura campus Alzheimer's disease
Prapti Barman National Institute of Technology, Arunachal Pradesh (INDIA) Segittal Plane, Alzheimer Desease, Deep Learning
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
Ellie Bartlett University of Sussex Alzheimers
Christopher Bartlett Nationwide Children's Hospital latent trait, matrix completion, 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
Nauman Bashir COMSATS UNiversity Islamabad XAI; Deep learning; Automatic diagnostic; Concept
Usman Bashir St Barts Hosptal CNN
Maloof Basihir Lovely Professional University Alzhemier, Machine Learning , CNN
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,
Selim Başpınar Eskısehir technical university alzheimer
Cher Bass King's College London generative models, deep learning, biomedical data
Andrew Bass Emory University Interaction effects
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
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Soumen Basu Indian Institute of Technology Delhi Deep Neural Network, Multi-modal
Rikin Basu Vellore Institute of Technology , India deep learning , image processing , Alzheimer’s, diagnostics
ganga surendra basva bharath university datasets
Vishant Bata Indian Institute of Technology,(BHU), Varanasi-India PET Scans, Early Detection, Machine Learning
Layal Bata Occidental College Alzheimer's, shape analysis, 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
Farwa Batool UET Lahore Alzheimer, Machine Learning, classification
Richa Batra Weill Cornell Medicine PRS, Metabolomics
Tanya Batra Liverpool John Moore's University Alzheimer's, early diagnosis, deep learning, machine learning, data analysis
Chakib Battioui Eli Lilly Tau Pet
Mark Battle GE Healthcare Centiloid, PiB, imaging windows
Ramu Battu CTS Alzheimers
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
Rida BAYI Cadi Ayyad University deep learning, segmentation
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
AA BB CJLU 123456
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
Oscar Bedoya Universidad del Valle Alzheimer's diagnosis, AI, machine learning, neural networks, web application
Jenna Bedrava University of Michigan University of Michigan, Bayesian
Gary Beecham University of Miami, Miller School of Medicine genetics, neuropathology
Joanne Beer University of Pennsylvania Perelman School of Medicine imaging, multi-scanner
Simone Beer Forschungszentrum Juelich quantitative PET
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
RAZIYA BEGUM KLU UNIVERSITY DEEP LEARNING ,MRI DATA
kauser begum The Center for Advanced Genomics disease-variants diagnostics
Sahana Behera Lexington High School Brain MRI Scans, Machine Learning network
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
Nazanin Beheshti University of Houston CNN, Spatitemporal locality, Classification,
Qumars Behfar Cologne University hospital Connectome
Hamid Behjat Lund University shape analysis, topological similarity, classification, early diagnosis
Mahdieh Behjat Iran University of science and technology Alzheimer desease detection prevention
Mahdieh Behjat Khatooni Iran University of science and technology Alzheimer desease detection prevention
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
Abel Belachew University of Tennessee Health Sciences Center 1621
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
David Bell University of Washington Genentech 404 challenge
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
Kerena Belony Boston University Predictive models
Yulia Belousova BMSTU MRI, Alzheimer, hippocampus
Edoardo Beltazar UCL Machine learning, blood biomarkers
Caterina Beltrame University of Trento MRI studies dementia
Martin Belzunce Royal National Orthopaedic Hospital PET, PIB, Image Processing, Partial Volume Correction
Fu Ben Zhengzhou Univerisity Multimodal deep learning;Early diagnosis
Hui Ben Meiji University PET
Hui Ben Meiji University PET
iliass ben faculté de mohammed premier ai
aya ben abdallah enetcom brain , hippocampus , MRI , alzheimer 's , segmentation
Seif Ben Bader Octilium Dementia, continous monitoring of elderly people, advanced early warning systems
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
Marin Benčević J. J. Strossmayer University Osijek, Ghent University explainable AI, deep learning, counterfactuals, variational auto-encoders
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
Meriem Benhaddi Cadi Ayyad University-Faculty of Sciences and Techniques Alzheimer, early diagnosis, artificial intelligence, data analysis, PET, MRI
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
Erin Bennett The George Washington University Milken Institute School of Public Health generalizability, epidemiology
Neal Bennett Gladstone Institutes metabolism
Lauren Bennett Hoag Memorial Presbyterian Alzheimer's disease, diabetes, verbal memory
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
M'hamed Bentourkia University of Sherbrooke Alzheimer; MCI; Beta amyloids; Tau; Imaging; Samples;
Meryem Benyoussef Sorbonne University Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment
El Mehdi Benyoussef Hassan 2nd University of Casablanca Machine Learning, Image Processing, Alzheimer's Disease
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
Miles Berger Duke University Medical Center proteomics, CSF, Alzheimer's disease, MCI, cognition
Swetlana Berger UCB Biologicals biological variability
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
Christian Bernal California State University, Bakersfield Statistics
Paul Bernal Johns Hopkins University Data Scientist in the making
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
Ginnie Berry Belmont University Imaging, Genetics, FTD
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
Max Bertolero Turing Medical diffusion, structural connectivity
Sydney Bertram Clemson University tbi, traumatic brain injury
Lars Bertram University of Luebeck GWAS, EMIF, QTL, PGS
Olfa Besbes ISITCOM http://www.infcom.rnu.tn/content/ Machine and deep learning, early detection
Gela Beselia I. Beritashvili Center of Experimental Biomedicine Biomarkers
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
Conceicao Bettencourt UCL Queen Square Institute of Neurology epigenetics, white matter changes
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
SAMPA RANI BHADRA ALIAH UNIVERSITY FEATURE ENGINEERING
Sayantan Bhadra Washington University in St. Louis generative model, MRI
SAMPA RANI BHADRA ALIAH UNIVERSITY FEATURE ENGINEERING
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
Gaurav Bhalerao University of Oxford Brain, Dementia, Harmonization, MRI, Prediction, Quality control
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
Preethi Bhaskaran NIT Trichy dementia,alzheimer's
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
Saloni Bhatia Researcher Machine Learning, AI, ADNI
Roopal Bhatnagar Critical Path Institute missing data imputation
Kaushal Kishor Bhatt Birla Institute of Applied Sciences sMRI data, CNN, Deep CNN
Kaushal Kishor Bhatt Om Sterling Global University sMRI and fMRI
KAVITA BHATT Delhi Technological University Alzheimer, MRI, Disease Classification
Ruchir Bhatt Nanostring technologies Deep learning
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
Sudeepa Bhattacharyya Arkansas State University metabolomics, neuroimaging
ARINJITA BHATTACHARYYA University of Louisville shrinkage, logistic regression, variable selection, prediction
Kritib Bhattarai Mayo Clinic Reinforcement Learning, ANDIMERGE
Uttam Bhetuwal Brown University Deep learning,brain imaging
Pradnesh Bhike AISSMS College of Engineering Pune Study, CNN
Guneet Bhogal San Jose State University Alzheimers
Sonali Bhosale SKNCOE ALzheimer's disease, hippocampus, mri images, deep learning
Rimmon Bhosale IIT Palakkad CNN, deep learning, medical images
SAJAN BHOSALE SANJAY GHODAWAT UNIVERSITY Alzheimer's Dataset
Mohammad Alfrad Bhuiyan Louisiana State University Health Shreveport Alzheimers, Cognitive
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
Xin Bi Northeastern University brain network, fMRI, Alzheimer's Disease
Fan Bi New York University machine learning, screening
Xinyuan Bi Shanghai Jiao Tong University AD metabolomics
Hanwen Bi Columbia University Functional connectivity, VAE
Cheng Bi Chinese Academy of Sciences Medical image analysis; Artificial intelligence
shijia bian EMORY UNIVERSITY AD disease progressin
Chun Mei Bian Tongji Medical College,Huazhong University of Science and Technology bile acid;intestinal microorganism;Alzheimer's disease
Zhangxing Bian Johns Hopkins University aging, DTI
Shijia Bian Emory University data harmonization
Jintang Bian Sun Yat-sen University Multi-Modal Biomarker, Alzheimer’s Disease, machine learning
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
Zarina Biktagirova National Research Nuclear University MEPhI Machine Learning-Based Classification of Dementia Types
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
Waleed Bin Tahir NUST Alzheimer's disease, CNN, MRI, classification
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
Harshitha Bingi University of Hyderabad Brain networks, Topological Data Analysis
Ni Bingjie Huazhong University of Science and Technology alzheimer's disease
Ni Bingjie Huazhong University of Science and Technology Deep Learning、Neurofunctional assessment
Alper Bingol LMU MCI, AD, mri, fmri
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
Li Bingyu Yantai Yuhaungding hospital excellent
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
Ram Bishnoi University of South Florida Alzheimer's disease, Neuropsychiatric Symptoms
Anna Bishop Boston University deep machine learning, MatLab, AlexNet, neural network
Lindsey Bishop UTHealth Houston McGovern Medical School Normal pressure hydrocephalus, Alzheimer's disease, cerebrospinal fluid
Bharat Biswal NJIT fMRI; functional connectivity, brain
Rahul Biswas University of Washington, Seattle Functional connectivity, Alzheimer's disease, Dynamic Causal Model
Shameek Biswas Bristol Myers Squibb genetics, imaging, biomarkers, cognitive decline
Tapabrata Biswas Alzheimer's research Alzheimer's research
Rashni Biswas Amrita Vishwa Vidyapeetham Rashni
Mampu Biswas Amrita Vishwa Vidyapeetham Mampu
Sanglap Biswas IEM Alzheimer
Subhrangshu Bit Ramakrishna Mission Vivekananda Educational and Research Institute Algorihtm, Machine Learning Preclinical Alzheimer's disease
Anas Bitar Damascus university Machine learning, Neurology
Felix Bitzer University Hospital Bonn FDG PET, epilepsy
Malin Bjornsdotter Sahlgrenska University Hospital stroke, epilepsy, aging
zhang bl JiLinUniversity Prediction ,Alzheimer,Graph Neural Network
Cindy Black ShenZhen Institute of Advanced Technology Chinese Academy of Sciences Biomedical imaging processing; Alzheimer disease; PET
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
pariya bnt university of tabriz brainage , MRI
qun bo Shanghai Maritime University FC
yu bo zhejiangmedicaluniversity alzhermer's disease
Xiaolin Bo University of Science and Technology of China Statistical longitudinal data analysis
Miguel Bocard Texas A&M university Analysis, Research, Statistics, Data
Martina Bocchetta Brunel University London teaching, biomarkers, novel segmentation methods (manual and automated)
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
Eric Boerwinkle The University of Texas Health Science Center at Houston stroke, alzheimers,
Bojan Bogdanovic Ss. Cyril & Methodius University in Skopje bioinformatics, prediction, AD, university
Jennifer Bogert Janssen Research & Development, LLC cognition, Alzheimer's Disease
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
Prasanth BOKAM CHL MRI
Arun Bokde Trinity College Dublin MRI, grey matter, volumetric, hippocampus
Joseph Boktor California Institute of Technology microbes, WGS
Mary Regina Boland University of Pennsylvania Data Mining; Machine Learning; Clinical Data
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
Antonia Bonfa FHNW machine learning
Luke Bonham UCSF FDG PET
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
Nattaya Boonmee Chulabhorn Royal Academy DTI FA MRI Alzhaimer's disease
Daniel Bor University Of Cambridge information theory
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
chandran bose NIELIT alzheimers data
Aditya Bose Manipal University Jaipur GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth 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
Samia Boubaya university of m'sila neuroimaging, machine learning, fMRI, EEG
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
bucha bouchra FSt 1234
Guelib Bouchra Abd el hamidm mehri Constantine 2 Data integration , heterogeneous data, Alzheimer, machine learning
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
Mustapha Bouhrara NIH Neurite density index; NODDI; MCI; Alzheimer’s disease; White matter.
mohamed bouizakarne vub Alzheimer
Wafa Boukellouz university of ferhat abbas setif MRI, CTm prediction
wafa BOURAS mohammed boudiaf university ptsd iomt
Abdelkader BOUREGAG Georgetown data, 404 challenge
Pierrick Bourgeat CSIRO ICT Centre Segmentation, registration, longitudinal study
Jessica Bourgin Université Savoie Mont Blanc emotion; attention; amygdala
Jessica Bourgin Université Savoie Mont Blanc Amygdala; Attentional network
Caroline Bouter UMG Goettingen PET, FDG, Amyloid
Younes Bouterfa Uclouvain AD, Detection, CNN, MRI
thebti Boutheina Monastir neuro imagerie, alzheimer disease, multiple sclerosis
Sophie Boutin Université de Montréal Sex differences, Subjective Cognitive Decline
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
Rory Boyle Massachusetts General Hospital Resistance, Resilience, Sex Differences, Neuroimaging, PET
Christina Boyle USC/IGC AD MCI Conversion MRI
Yang Boyu Sun Yat-Sen university AD, longitudinal data, MRI image data
Serdar Bozdag University of North Texas machine learning, data mining
Meri Bozulanova Contractor imputation
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
Mateus Braga Universidade Federal de Minas Gerais AI, Machine Learning, Computer Vision
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
Paulo Branco Northwestern University Pain, Subcortical Volume
Lodewijk Brand Colorado School of Mines haploview, plink
Abby Brand Washington University School of Medicine Plasma AB, FNIH, amyloid PET
Paolo Brandolini Università degli Studi di Milano ADNI1, Deep Learning, GAN
Charles Brandt Indiana University data management download
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
Elvira Brattico University of Bari Aldo Moro alzheimer's disease (AD), cognitive reserve, functional connectivity, fMRI
Christina Braun Fraunhofer-Gesellschaft AI-based model
Mario Alejandro Bravo Ortiz Universidad Autonoma de Manizales Analysis, Alzheimer, Deep Learning
Juan Sebastián Bravo Santacruz Pontificia Universidad Javeriana MRI, EMCI, early, detection, deep learning, Neuroimaging , image processing,
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
Maria Bretones Universitat Politècnica de Catalunya (UPC) AI models, explainability, XAI, decision support AI
James Brewer UCSD subregional change MRI, PET
nour brh ensam rabat AD
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
Dana Broberg Western University diffusion weighted images, tractography, testing
Thibaud Brochet Université de Rouen / LITIS Deep Learning Classification Segmentation Unsupervised multitask
Esther Bron Erasmus MC Classification
Sofia Broomé Therapanacea alzheimer’s disease, disease progression, statistical methods, machine learning,
Jared Brosch Indiana University exposome risk factors
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
Jarrel Brown Pennsylvania State University fMRI
Shael Brown McGill Connectome harmonics, Manifold learning
Jesse Brown UCSF fmri; connectivity; atrophy
Benjamin Brown Belmont University Dementia;Cognition;sex differences
Thad Brown Personal Interest pydicom
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
Davide Bruno Liverpool John Moores University memory; cognition; digital biomarkers
Jennifer Bruno Stanford connectomes, PET, machine learning, amyloid, tau
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
Andrew Bryant University of Florida College of Medicine pulmonary hypertension, interstitial lung disease, emphysema and OSA
Andrew Bryant University of Florida College of Medicine pulmonary hypertension, interstitial lung disease, emphysema and OSA
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
Anas Bsoul Jordan University of Science and Technology Alzheimer; amyloid; Neural Network
weixiao bu Weifang Medical University propensity scores
Qiushi Bu Academy of Mathematics and Systems Science tensor regression, CP tensor decomposition, model averaging
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 Karolinska Institutet PET, CSF
Marco Bucci University of Turku Machine learning, radiomics, dementia, prediction
Hans-Georg Buchholz University Medical Center NEUROSTAT, SPM12
Bradley Buchsbaum Baycrest Centre for Geriatric Care fMRI PET correlation
Marcus Buchwald Universität Heidelberg deep learning, causal inference, counterfactual prediction
Maciej Buciński University of Adam Mickiewicz Neuroimaging, Deep Learning, Data Science, Machine Learning
Hudson Buck Santa Casa de Sao Paulo School of Medical Sciences Alzheimer, diabetes, hypertension, chronic diseases
Katharina Buck Roche Diagnostics Elecsys CSF Measurements
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
Niklas Bühler Technical University of Munich Deep Learning, Connectome, Diagnosis
Duc Toan Bui Sungkyunkwan University GAN
Mai Bui HCM Open University in Vietnam Machine learning in medical image
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
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,
Darren Buono Star Radiology DTI, mTBI
burak burak HACETTEPE UNIVERSITY transformer
jeffrey burgdorf Northwestern University EEG alpha delta
Brady Burgess Alector microglia
Ninon Burgos University College London PET synthesis
Begüm Burhan Çukurova University brain lesions, comparison study
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 AvidRadiopharmaceuticals Tau, Amyloid
Samantha Burnham CSIRO Alzheimer's; genetics, Validation, Longitudinal
Kory Burns Sandia National Laboratory Machine Learning, Deep Learning, analytics, reproducibility
Mina Burns London School of Economics Survival analysis, machine learning
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; Prediction; Two-stage model
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
Umme Habiba Bushra IIUC Alzheimer disease, early detection, machine learning algorithms
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
Paul Butler Biogen neuropsychology, Alzheimer's disease, MCI, aging
Tracy Butler Weill Cornell ASL
Mitchell Butler University of Illinois at Chicago technical training; neuroimaging; python
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
h bw sylu data
Samantha By Hyperfine segmentation
Samantha By Bristol Myers Squibb diffusion
Jiyoung Byun KAIST Alzheimer's disease
Jihyun Byun University of Johannesburg Alzheimer's Disease, computer-aided diagnosis, deep learning
Seonjeong Byun Uijeongbu St Mary's Hospital College of Medicine, The Catholic University texture, functional connectivity, mild cognitive impairment, progression
Michał Błotko Silesian University of Technology MRI, Alzheimer, Data Science
Jithendranath C none Mri-images,transfer learning,dense nets
Neerav C MUJ Machine Learning, Early Detection, Study
Keerthika C vit ALZHEIMER, DEEP LEARNING, IMAGE PROCESSING
Sreelakshmi C htic Deep learning
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
Santiago Cabrera Universidad Politecnica Salesana red convolusional
Jorge Cabrera Universidad Politecnica Salesiana Alzheimer, network convolutional, prediction
Jesús Cabrera Álvarez Universidad Complutense de Madrid Brain Simulation; NMM;
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
Karla Fernanda Cáceres Alvarado Tecnologico de Monterrey ML, Data science, classification
Frederic CADET University of La Reunion Machine Learning, Biochemistry, Genomics
Xavier Cadet Imperial College London Machine Learning, Dementia
Alexandre Cafaro TheraPanacea Multiple sclerosis, healthy, inpainting
Refsi Cahya Brawijaya brawijaya
Samuel Cahyawijaya HKUST deep neural network, alzheimer disease, sequence modeling
Chao Cai University of South Carolina Survival Cure model, Alzheimer’s disease, Anticholinergic drug, AD Biomarker
Chao Cai Jiangxi University of Finance and Economics Federated Learning
erik cai wenzhou university multimodal neuroimaging
Fanco Cai CQ 1
yuan cai Chinese university of HongKong plasma biomaker ,AD pathology
Yan Cai Taizhou First People's Hospital Alzheimer's Disease; CSF; biomarkers
Wenjie Cai Harvard University T.H.Chan School of Public Health neuropsychiatric symptom; cognition; Alzheimer's disease
bingyang Cai SJTU AD MRI PET
Guoen Cai Union hospital neurodegeneration,APOE,DTI
Shangyu Cai Szu University AD FMRI
Hong xin Cai Beijing Institute of Technology Alzheimer's disease
Hanlin Cai Sichuan University, West China hospital mother39
Jiaxin Cai Xi'an Jiaotong University AD, MCI, dementia, MRI, PET
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
Jiahui Cai stu AD
Jinhua Cai Sun Yat-sen Memorial Hospital, Sun Yat-sen University lipids, apolipoprotein, cognition
Guo en Cai Union hospital apolipoprotein E,β-amyloid ,neurodegeneration,AD
Lingrui Cai Ann Arbor Algorithms autoencoder, unsupervised learning, feature extraction
Yudong Cai College of Animal Science and Technology Type II diabetes, hippocampal
Hongjie Cai Shanghai Jiaotong University AD/MCI diagnosis, deep learning
Congbo Cai Xiamen University Image reconstruction, Multimodal image, Deep learning
Hailin Cai Chongqing University AD,
Chunting Cai Xiamen Univeersity cct724724
ping cai Xidian University Functional connectivity . Amnestic mild cognitive impairment
Ning Caichen IT 01234567890
shi cailing affiliated hospital of north sichuan medical college structure MRI, functional MRI, graduation project
francesca caiozzo other alzheimer
yan caiying Nanjing Medical University early diagnosis,Imageology,MRI
Michele Calabrò Università della Calabria PRS Spark
Ismael L Calandri Fleni Machine learning, normal ageing
Toro Caleb University of North Dakota biomarkers, feature selection methods
David Calhas Instituto Superior Técnico, Universidade de Lisboa EEG, fMRI, Diagnosis, Machine learning
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
Marina Camacho University of Barcelona Artificial Intelligence, dementia, predictors, exposome
Eduardo Camacho UPV Artificial Intelligence, lesion segmentation
Rui Camacho Faculdade de Engenharia da Universidade do Porto Multi-Relational Data Mining
Rafael Camarero Rodríguez Universidad Francisco de Vitoria Artificial intelligence, final degree's proyect
Aldo Camargo University of Maryland of Baltimoree Longitudinal study,ASL, PET-FDG,
Sabrina Camargo Universidad Nacional de San Martín Functional connectivy, BOLD analysis
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
Silvia Campanioni Galicia South Health Research Institute, Hospital Álvaro Cunqueiro Partial Volume Correction, Epigenetic Conditions, Manifold Learning
Alex Campbell University of Cambridge deep learning, machine learning, fmri, diagnosis, unsupervised
Irina Campbell The University of Strathclyde Alzheimer’s disease; psychotic symptoms; behavioural symptoms
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
Rodrigo Canovas CSIRO Bioinfomatics, alzheimer and dementia
Jose L. Cantero Pablo de Olavide University sleep2019
Christelle Cantet Gerontopole CHU Toulouse omega-3, cognitive function
Jiahang Cao Beihang University deep learning model
Guanqun Cao Auburn University functional data, ADNI
Jiguo Cao Simon Fraser University brain network, QTL mapping
weifang cao shandong first medical university aging neuroimaging
Shyu Cao UESTC AlextNet for AD prediction
keyi cao Suzhou University of Science and Technology AD
Bing Cao university of north carolina at chapel hill medical image synthesis
Yarui Cao Clemson University early detection of Alzheimer's Disease
Xingyu Cao UESTC dynamic MRI, deep learning
Pengjie Cao Taiyuan University of Technology Hypergraph neural network, sMRI, Alzheimer's disease
Eric Cao Albert Einstein College of Medicine AI, CNN, amyloid-beta
Jiahang Cao Beihang University 区块链
Yan Cao University of Texas at Dallas image analysis
Yuzhu Cao University of Science and Technology of China Image Registration
Zhibin CAO HongKong,China/ The Hong Kong University of Science and Technology medical image processing
Yu Cao Beijing University of Technology multimodal data, Alzheimer's disease, accurate diagnosis
Yikang Cao Jiamusi University graduation,deep learning research
Gongpeng Cao Beijing University of Posts and Telecommunications artificial intelligence, precise diagnosis of AD
Bo Cao University of Texas Health Science Center at Houston Machine learning
chen cao Nanjing Medical University TWAS,  imaging-wide association study, MRI, machine learning
hongjun cao YanShan University 数据
Xuan Cao University of Cincinnati sMRI, fMRI, radiomics, generalized linear models
Yujie Cao Xi’an Jiaotong University brain image related research
yingli cao Jiangnan University study
Xuexiang Cao Philips Alzheimer, deep learning
Jiahang Cao Imperial College London Alzheimer's disease, deep learning
Lingcan Cao Xi'an Jiaotong University brain network dynamics, default mode network
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
Manuel Jorge Cardoso KCL Synthetic Data, Longitudinal
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
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
Hannah Carns Penn State College of Medicine Access for intern on study #18557
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
Carolina Carpio uc3m ML
Thomas Carr University of East Anglia / Norfolk & Norwich University Hospitals Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
Valerie Carr San Jose State University teaching
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
Anna Carroll The Hill School Hill School
Mollie Carruthers Victoria University of Wellington Epistasis, GWAS, Bioinformatics, Alzheimer's, SNPs
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
Sofia Carvalho Universidade do Minho neuroimaging, mri, alzheimer, prediction
Alexandra Carvalho Instituto Superior Tecnico Time series analysis
Vítor Carvalho IF SUDESTE MG MRI Image, Machine-learning, Alzheimer's Disease
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
Elena Casiraghi Università degli Studi di Milano Machine learning, Patient networks, Explainability, Interpretability
Svenja Caspers University Düsseldorf; Research Centre Jülich normal aging, interindividual variability, brain structure, connectivity
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
Tonnar Castellano Vanderbilt University Medical Center Harmonize
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
Eduardo Castro IBM Research longitudinal, Alzheimer's disease, multimodal, multivariate, predictive
Paula Castro Universidad Carlos III Madrid Alzheimer, Machine Learning, Multi-Modal data, MRI, SupervisedLearning
Mac Gayver Castro University Center Christus Alzheimer disease, imaging, algorithms
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
ab cd nna 123
Bogdan Cebere University of Cambridge Genentech's 404 Challenge
Bogdan Cebere University of Cambridge kaggle
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
Inês Celorico ISCTE college; bayes; study
Leopoldo Cendejas Zaragoza Summa Health automatic segmentation, hippocampus, convolutional neural network
Ricardo Cerri Federal University of Sao Carlos machine learning, SNPs, Alzheimer Disease
Stefano Cerri DTU segmentation atrophy
Tess Cersonsky Brown University AD Risk, Machine Learning, Predictive Modeling
Marcela Cespedes CSIRO Cognitive accelerators and non-accelerators, AD disease sigmoid modelling
Mustafa Cetin Intel multi model data set
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 CNN, curvet, ADNI
Chahd Chabib Khalifa University deep learning
Saber Chacha University of Kasdi Merbah Ouargla Medical Image, MultiModeling, Image Analysis
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
Consuelo Chafer Pericas Instituto de Investigación Sanitaria La Fe imaging, plasma, biomarker, clinical data, Alzheimer Disease
Pavan Chaggr University of Oxford Alzhiemer's, morphology, degeneration
Wang Chai University of Chinese Academy of Sciences right-censored covariate
Yaqiong Chai INI MCI AD
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
Mritunjoy Chakraborty North South University Machine Learning,Deep Learning
Sean Chakraborty University of Houston MRI, PET, MATLAB
Moumita Chakraborty The University of Texas MD Anderson Cancer Center Statistical modeling; Network; Genomics; Brain imaging;
Mainak Chakraborty Nitte Meenakshi Institute of Technology CNN , Alzheimer's, MRI
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
nour chami polytechnical school maurice audin alzheimer mri
Harshil Champaneria Arizona State University Research Project on Deep Learning
Diane Chan Massachusetts General Hospital Neuromodulation, gamma oscillations, systems neuroscience
Katie Chan City University of Hong Kong Molecular epidemiology and bioinformatics
CANDACE CHAN UNIVERSITY OF CALIFORNIA, SAN FRANCISCO diagnostic tests, biomarkers, early detection, genetic
Elaine Wan Ling Chan International Medical University SVM classifier for the determination of progressive deterioration of AD
Yi Hao Chan Nanyang Technological University Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets
Jason Chan University of Calgary Gene expression, amyloid, tau, neurodegeneration, PET, MRI
Eldon Chan University of California, Berkeley Deep Learning, Alzheimer's Recognition and Prediction
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Kannie WY Chan City University of Hong Kong; The Johns Hopkins University School of Medicine MRI, AD, deep learning
Tao Chan Tsinghua Shenzhen International Graduate School AD, hippocampus, deep learning, diagnosis
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
shekhar chander NIT Arunachal Pradesh deep learning,Alzheimer, Machine learning
Hannah Chandler Cardiff University MRI PET genetic risk
Trevor Chandler Artificially Intelligent Alzheimer’s, Amyloid, Memory, Brain
Avinash Chandra Queen Mary University of London MCI, AD, lifestyle risk, dementia prevention
GAURI CHANDRA IIT, Delhi Alzheimer's Disease, Neuroscience, Optimal Controller
Dinesh Chandra MNNIt, Allahabad, UP, India AD
Avinash Chandra King's College London Alzheimer's disease; amyloid; tau; genetics
Subhadeep Chandra National Institute of Technology, Durgapur CNN
Shantanu Chandra ZS digital twin, synthetic data generation
mahi chandrakar nit raipur dep learning
Ganesh Chandrasekaran University of Pennsylvania CSF, Biomarkers, Cognition
Tarun Chandrasekhar IITD Alzheimer's Prediction
Pramod Bharadwaj Chandrashekar University of Wisconsin Madison Deep learning, multimodal integration
Ya-Hsuan Chang University of Kentucky Data analysis
Can Chang Being Normal University neuroImage; deep learning;disease prediction
ali chang Advantech alzheimer
Jeryn CHang The University of Queensland Hypothalamus; BMI; DWI
Wonjae Chang Neurocle AD, AI, Auto Segmentation
chenjie chang Xinjiang University reproduce;paper
HanI Chang Ajou AD
Zeyu Chang University College Dublin multi-modal PET MRI
Fou Chang Zhejiang University Alzheimer's disease diagnosis Deep learning Deep neural networks
Minyu Chang Cornell University Fuzzy-trace theory; factor analysis
hsin-wen Chang National Tsing Hua University Alzheimer
Ya-Ning Chang National Cheng Kung University Interpretability; Machine Learning
Kai CHi Chang National Yunlin University of Science and Technology reserch CNN
JUDY CHANG Chang Gung memorial hospital AI
Changgee Chang University of Pennsylvania integrative analysis, multi-task learning
Timothy Chang University of California, Los Angeles Rare variant analyses, genetics, whole genome sequencing
yetong chang Harbin Medical University Alzheimer's disease;imaging;clinical treatment
Ze Chang huazhong university of science and technology diagnosis
WeiTang Chang UNIV OF NORTH CAROLINA AT CHAPEL HILL dMRI
RUI CHANG University of Arizona Alzheimer's, Sex difference
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 Fujian Medical University brain regions; Alzheimer's disease
wu chao Nanjing Medical University Prediction; AD; ANN
suo chao xiangtan university Due to low intensity contrast around ROI boundary and large inter-subjectvarian
wang chao fujianyikedaxue study; Alzheimer's disease;clinical manifestations
bu chao DONGHUA UNIVERSITY AD
wang chao North University of China Wl940414.+0
Jiang Chaok China University of Mining and Technology research
Ma Chaoran Changzhou University fMRI Beginners
Aymen Chaouch LABTIM image fusion
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
Stylianos Charalampous UCL MRI; Machine learning; Deep Learning; Computer Vision; Tractography;
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
ishanu chattopadhyay University of Chicago AD, Machine Learning, Comorbidity, EHR
Dimitrios Chatzakis University of Patras computer vision, deep learning
Wing Fung Chau Cardiff University Big Data, lipids and metabolites
Tushar chaudhary REVA University GMV, GMD, T1 weighted images
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
Nishant Chauhan Daegu University Functional connectivity, deep learning, classification, Alzheimer's, MCI
Mohit Chauhan IIT Indore survey, literature
Laurent Chauvin Ecole de Technologie Superieure Local Features, Subject Identification
Shital Chavan SITS MRI,CT,AD,MCI
Khushi Chavan Dwarkadas Jivanlal Sanghvi College Of Engineering Alzheimer, Mild Cognitive Impairment, Early MCI, and Late MCI
Chaitanya Chavda HL Institute of Computer Applications Alzheimer , Image data sets
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
Aman Chawla Dayananda Sagar University neuroimaging, validation
Stylianos Chazichronis National and Kapodistrian University of Athens Alzheimer's disease, Supervised learning, AD development
liwei che The Pennsylvania State University Federated Learning, Multimodal Learning, Machine Learning
XQ CHE shanghai jiaotong university genotype-Neuroimaging analysis
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
Bo Chen Hangzhou Dianzi University fMRI, functional connectivity
Yu Chen Central South University Do some researches about the AD
Quan Chen wuhan union hospital freesurfer
yu chen hefei university of technology deep learning
Xi Chen Sun Yat-sen University Cancer Center Limit sample size; Meta-learning; Model pretraining
Qianwen Chen University of Illinois at Urbana Champaign GWAS Analysis
Ziyi Chen University of Washington AD
Jinglong Chen Guangzhou First People's Hospital ,South China University of Technology MCI,dementia,VBM, DTI, functional connectivity,DFPLC
Yu-An Chen National Yang-Ming University Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Bocheng Chen huazhong university of science and technology graphic analysis, PET
Tianhua Chen University of Huddersfield fuzzy systems, convolutional neural network, clinical decision support
YUHUA CHEN National University of Singapore Mutimodal fusion
ifan chen National Yang Ming Chaio Tung University Machine Learning
Grace Chen North China Electric Power University iloveyouCSL@1214
Shuang-Qing Chen the Affiliated Suzhou Hospital of Nanjing Medical University Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning
Jean Chen Baycrest Health Sciences perfusion, metabolism
Yingchuan Chen Beijing Tiantan Hospital PD, fMRI, machine learning
Bin Chen Tongren hospital of wuhan university ApoE, AD, brain, cognition
Sherry Chen Western University Alzheimers, longitudinal,cholinergic
Jiong Chen University of Pennsylvania Network neural science, multiscale parcellation, functional connectome
EDDIE CHEN Stony Brook machine learning, AI, MCI, AD
Kefan Chen university of sydney Alzheimer's patients
yaru chen Jiangsu university Health analysis
Huan Chen Johns Hopkins Bloomberg School of Public Health FDR control, variable selection
Lin Chen Johns Hopkins University MRI, PET
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Lele Chen Nanjing University fmir, lifestyle, AD, Comorbidity, brain network
Qianjing Chen University of P AlzData
Hao Chen Peking University gene expression, rs-fMRI, Functional Network, Integrative Analysis
Chang-Le Chen National Taiwan University College of Medicine Diffusion MRI, White matter, Fiber cross-section
Mingzhu Chen Fudan University, Shanghai, China computer-aided medical image analysis, algorithm
Chao Chen Stony Brook University Image analysis, deep learning.
jiaao chen Queen's University research
Haoyu Chen University of Chicago image classification, Alzheimer's disease
Gan Chen University of Louisville Hidden Markov Model, Disease Progression
durong chen shanxi medical university Parkinson
Nan Chen microsoft AD
Xu Chen SAS Inc Machine Learning
Jianwei Chen Northeastern University, China neural network Alzheimer's disease
wuyang chen Central South University multimodal,registration
Shanshan Chen the Affiliated Brain Hospital of Nanjing Medical University, Nanjing Alzheimer's disease;Mild cognitive impairment;Subjective cognitive decline
yanghui chen tongji hospital biomarkers
Yi Chen Zhejiang University genes, AD, tau, beta-amyloid
jingyi chen nanchanghangkonguniversity MRI, brain segmentation
Rongqin Chen Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences direct and indirect structure-function causal influence in brain
Hongyu Chen Zhejiang University computer graphics; Medical Imaging
Geng Chen Inception Institute of Artificial Intelligence hippocampus segmentation
Rong Chen University of Maryland School of Medicine machine learning
Siyi Chen U of MN GWAS
Lihui Chen Sichuan University Academic study
Guangxin Chen University of Auckland research
Tong CHEN City University of Hong Kong classfication, CNN, explainable AI.
yawen chen Shanghai Maritime University AD
Zhuo Chen University of Arizona Data integration
HONGKAI CHEN Juntendo University Life1Dream
liangming chen Lanzhou University neural network, deep learning, Alzheimer
Yuanyuan Chen Northwestern Polytechnical University Alzheimer’s disease; Mild cognitive impairment;Deep learning
Can Chen South China Agricultural University research, experiment
haoyuan chen Northwest Normal University predict onset time, deeplearning
saiyuan chen 重庆邮电大学 study
Ting-Huei Chen Laval University structural equation modeling
Xiaozheng Chen Xiamen University neuroimaging, dynamic functional connectivity, deep learning,
Yihe Chen Second Affiliated Hospital,Zhejiang University School of Medicine perivascular space
wu chen Huazhong University of Science and Technology image processing
Gang Chen Medical College of Wisconsin fMRI, MRI
Ruijing Chen Yunnan University distributed statistics analysis
Jiu Chen Nanjing Medical University AD, aMCI, DTI, sMRI, fMRI
Xiaocong Chen The University of New South Wales Early Detection, Machine Learning
SHAOBO CHEN Jinan University colorization;regions segmention;unsupervised learning
jiamin chen GDUT segmentation
Tao Chen Hefei University of Technology Deep learning, machine learning, classification
YINGJIA CHEN Genentech safety
Guan Wen Chen NTHU Alzheimer
Zeyuan Chen Shandong Normal University Registration
William Chen MagQu LLC Longitudinal study, differentiate diagnosis, neurodegenerative diseases
minghao chen East China Normal University Causal Mediation analysis, MRI data,Alzheimer disease
Baolin Chen Shanghai Uiversity of Finance and Economics functional data analysis, samples of density functions
Wanyi Chen Zhejiang University machine learning; multi-modal
Ke CHEN University of Nottingham machine learning, early diagnose
zhenru chen University of Missouri - Columbia Drug prediction, Alzheimer's
huachang chen Vanderbilt University Medical Center imputation; methodology; evaluation; bioinformatics
Yu-Chi Chen Monash University cortical morphology, machine learning
Li Chen University of Washington Image processing
yulong chen zhengzhou university MRI hippo subfeild segmentation
peng chen chen Chongqing University of Posts and Telecommunications 研究
Xiao Chen Amy Medical University, Daping Hospital Amyloid PET, Alzheimer’s dementia, Amyloid staging
fen yang chen Zhejiang Chinese Medical University fmri、smri、dti、AD
LINFENG CHEN sixth affiliated hospital of sun yat-sen university 3D slicer
Chien-Wei Chen China Medical University Hospital artificial intelligence, medical image,genetic data
Yiming Chen University of Maryland neural network
Qian Chen Nanjing Drum Tower Hospital Subjective memory complaint, Neuroimage, Biomarker
Zhiying Chen Capital Medical University synaptic damage,Nfl
Zihao Chen Shanghai Jiao Tong University MCI AD predicting model
Jiawei Chen Guangzhou Medical University AD
Lin Chen Chinese Academy of Scie Alzheimer's Disease Prediction
Hao Chen Shandong University of Finance and Economics Brain Network Analysis, Alzheimer's disease, Classification
maozhou chen KUST ad,fmri,dl
Tianqi Chen Yale University longitudinal analysis, bayesian, trajectory
Tao Chen HITSZ AD, deep learning, diagnosis
HongGuai Chen NCU BDBC-2020
Huimin Chen Beijing Tiantan Hospital, Capital medical university cognitive impariment, perivascular space, Abeta/tTau
Chang Chen Nanjing Drum Tower Hospital, Medical School of Nanjing University neurologist
Chih-Chieh Chen CGMH AD
Gengsheng Chen Washington University in St. Louis amyloid, gwas
Winston Chen University of Washington Neural networks; Biological Interaction
zhou chen HIT(Harbin Institute of Technology) research deep_learning
wenhong chen Jilin university Neuroimaging,Alzheimer's disease,Genes
Jinyang Chen University of Georgia Deep Learning, Machine Learning, Disease Diagnosis, Classification
zhenzuo chen Ningbo University Intelligent diagnosis
Jin Chen Chengdu University of Information Technology mikezhangpeng134150
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Xue Chen Shandong University of Science and Technology Alzheimer, Deep Learning, Medical Image Analysis,Computer Science
Li Chen Indiana University School of Medicine GWAS, functional analysis, meta-analysis
Sherry Chen The University of Sydney Frontotemporal dementia, longitudinal, neural correlates, cognition
Junjie Chen Temple University computational methods, integrative analysis, casual factors
Hanyi Chen University College London subtype, disease progression, SuStaIn, AD
dongdong chen shanghai jiao tong university deep learning; study; research
runhuan chen nanjing university of Posts and telecommunications CNN-Transformer model
Zhi Chen University of Electronic Science and Technology of China computer vision, neuroimaging recognition, classification
Xin Chen University of Nottingham Longitudinal image feature extraction; disease diagnosis.
Feng Chen Harbin Engineering University network analysis
shouyan chen Guangzhou University AI; Alzheimer detection
Qiufeng Chen Fujian Agriculture and Forestry University/China functional connectivity
Lin Chen Johns Hopkins University MRI, PET
hu chen Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch 3D convolution,saliency maps,
Yi Chen CLA Technology Co., Ltd Machine Learning, Deep Neural Networks, Early Screening of AD
Mingzhu Chen Fudan University, Shanghai, China computer-aided medical image analysis
junchao chen Beijing University of Astronautics cjc20011224
Wenli Chen The First Affiliated Hospital, Sun Yat-sen University growth hormone pituitary adenoma; cognitive function
Keping Chen Southeast University AD; circular RNA
Kevin Chen National Taiwan University deep learning, PET/MRI
JIANGWANG CHEN SUNY BUFFALO MRI
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
Ruijia Chen University of California, San Francisco biomarker studies
fangyi chen Hebei University of technology classification tasks
Danni Chen UCLA deep learning, medical imaging, explainable AI, attention model
Zebin Chen Sun Yat-sen University regression, classification, joint learning, model, visual, interpretable
Haoran Chen Shanghai jiaotong university metabolic pathway,transcriptome and metabonomic data
Aidi Chen Communication University of China Brain tumour
Weixiang Chen Tsinghua University MRI diagnose, Alzheimer diagnose
Jin Chen Chengdu University of Information Technology mikezhangpeng134
futao chen Nanjing Drum Tower Hospital AD,SCD,fMRI
Yihan Chen Beijing University of Chinese Medicine Cyh112800
Siying Chen BUAA university study
Tao Chen Wuhan University Alzheimer’s Disease, visual features, MRI
Fangyao Chen Xi'an Jiaotong University Health Science Center influential factor; Alzheimer's disease;longitudinal analysis
can chen scau multimodal
sijie chen Yitu healthcare technology AD, classification, CNN
Irene Chen MIT machine learning, subtypes, disease progression
chen chen Beijing Forestry University Alzheimer's disease, prediction, Rs-fMRI
qiuhui chen Shanghai Jiao Tong University Spatial-Temporal GCN; Transformer
Yanghaoyu Chen UF Machine learning
Jason Chen Bioclinica Testing algorithms
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Amy Chen AltPep Biosample Request, Blinded and unblinded data, Early detection and diagnosis
Jinxin Chen Chengdu University of TCM alzheimer,sleep disorders,fMRI
Gavin Chen Tianjin University of Technology and Education czc960229
changhao chen National Central University CNN SVM LR
Tao Chen Hefei University of Technology Deep learning, machine learning
Kuan Chun Chen National Taiwan University deep learning, dementia, Alzheimer
kai chen Xijing University medical image analysis
Gianna Chen Shanghai Jiao Tong University none
Hui Chen Shuguang Hospital Alzheimer's Disease,functional connectivity
Battle Chen FZU multi-modal
yunjie chen Nanjing university of information science and technology brain mr images
Xi Chen University of Rochester Medical Center APOE
Zhe Chen Anhui University of Technology research, multi-view clustering, the progress of Alzheimer's disease
Fang Chen jackson state university image deep learning Alzheimer's
Qianyun Chen The Chinese University of Hong Kong deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Yu-Jen Chen National Tsing Hua University Machine Learning, Disease Prediction
Yuchao Chen WellSIM Biomedical Technologies Inc extracellular vesicles
bowen chen Tongji University course project, deep learning, Alzheimer's disease
Chi Chen Guizhou University of Chinese Medicine Repeatability validation, machine learning algorithms
zhaoming chen Beijing Institute of Technology,Zhuhai Image recognition
Xin Chen Shanghai East hospital, Tongji University, School of Medicine Neurodegeneration, Alzheimer,cognitive impairment
Xinqi Chen Guangdong University of Technology computer vision, generative adversarial networks, synthesis of medical images
Wei Chen West China Hospital of Sichuan University dementia, cardiometabolic risk factors, genetics
Keyu Chen Liaoning Normal University Resting state; dynamic; fMRI; Classification
LiuJyun Chen National Taiwan University Cognitive assessment, dementia, health care
Zixuan Chen Sun Yat-sen University Medical Image Reconstruction, MRI
Yanxi Chen Arizona State University algorithm, imaging, BBB, AD diagnosis
Fangzheng Chen Shanghai Jiaotong University School of Medicine Ruijin Hospital cognition AD
Shu Chen North East University iconography
Shijie Chen Xuzhou Medical University PET, super-resolution, GAN, ML
Yuzhong Chen UESTC CNN AD
Yufeng Chen Beijing University of Chinese Medicine Alzheimer's disease
Yujie Chen Wuhan University of Science and Technology Alzheimer's disease, Early diagnosis, Conversion prediction
huaqiu chen Xuanwu Hospital, Capital Medical University Alzheimer's disease
Liang Chen University of Macau miRNA, biomarker
Jacky Chen Johns Hopkins Imputation challange
jiacheng chen Zhejiang university of technology MR image super resolution
Ling Chen Zhejianglab Graph convolutional network
xiang chen Southeast University FC ASL hippocampus
Sida Chen Hong Kong Baptist University Aging, Large-Scale Brain Network, Parameter Sensitivity
Xiaohui Chen Southern University of Science and Technology brain, eye., images, genes
xiaotong Chen huashan hospital of fudan university Alzheimer's disease; biomarker; blood-based
Christina Chen University of Pennsylvania Statistics, imaging
jiachen chen shandong university thanks
Bingzhen Chen University of Florida statistical modeling
Sophie Chen Beijing University of Technology fMRI classification
Xiang Chen University of Leeds Image Registration, Deep learning
Andrew Chen University of Pennsylvania dimension reduction, batch effects, site effects
hongyu chen shanghai Nyuen fMIR, GCN
Juan Chen The First Medical Center of PLA General Hospital image
YuCheng Chen 國立金門大學 NQUAI
GUILIAN CHEN SHENZHEN UNIVERSITY unsupervised segmentation
Xinyuan Chen Mississippi State University functional analysis, survival models
Xiao Chen Beijing Normal University Alzheimer’s disease,defalut mode network
Shuo Chen National Innovation Institute of Defense Technology deep learing, super resolution, medical imaging
wang chen Xinxiang Medical University fmri;Age predicts
meidi chen Shanghai Jiao Tong University FDG AV45
Haifeng Chen Affiliated Drum Tower Hospital, Nanjing University Medical School memorry function; rTMS; multimodal neuroimaging
Eric Chen Indiana University School of Medicine Tau, Braak regions, PET
Michelle Chen Rutgers University Intra-individual variability
qiang chen Donghua University segmentation
Yang Chen Hebei Medical school MRI, biomarkers, clinical related data
Zheng Chen Southern Medical University Biostatistics, survival analysis, dynamic prognostic and predictive
naijin chen Anhui Polytechnic University Medical image analysis
Hanxi Chen Shanghai jiao tong university causal discovery
tao chen south medical university 联合基金
kehua Chen shantou University radiomics, deep learning, genomics research
Xiao Chen Nan Jing Agricultural University Disease development
Ziyi Chen Carnegie Mellon University Machine Learning coursework project
Qingmeng Chen Tokyo Medical and Dental University DTI, 3D-T1, Multiple sclerosis
kunxu chen Sun Yat-sen university study
Chen Zi Yang Chen Zi Yang Guangdong University of Technology ADNI ; GAN; image segmentation
Antoine chenevier ESIREM azerty
WEI CHENG Southern University of science and technology machine learning
ZHI HSIN CHENG National Yunlin University of Science and Technology Alzheimer’s disease machine learning
siyu cheng shanghaitech Alzheimer's disease features extraction
Feixiong Cheng Cleveland Clinic artificial intelligence (AI); radiogenomics; Alzheimer's genomics
Jiaqi Cheng University of Canterbury CNNs model interpretability
Greta Cheng NA ADNI dataset, classfication, 3D CNN
Xiaoqin Cheng Zhongshan hospital machine learning
Iris Cheng Brown University Alzheimer's, sex, apoe, cognition
Weili Cheng North China University of Water Resources and Electric Power Time-dependent ROC curves with missing biomarkers
zhiwei cheng N/A research
Ruida Cheng NIH brain segmentation and classification
yongting cheng Washington University in St.Louis Segmentation; Diagnosis ;Deep Learning;VAEs-GAN
Zikang Cheng Imperial College London Survival analysis, A1ATD
Hewei Cheng Chongqing University of Posts and Telecommunications brain disease, brain parcellation
XL Cheng XMU Image synthesis , Experiments , CGAN
Weiwei Cheng Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine AD,PET imaging
Xiaoqin Cheng Zhongshan hospital inflammation
Yuanjiang Cheng Shanghai University of Finance and Economics MRI, Alzheimer's disease
Hewei Cheng Chongqing University of Posts and Telecommunications multi-modality; classification
minjia cheng Zhejiang University of Technology AD
Jiyun Cheng Hill School Hill School
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
Xiangyi Cheng Summer STEM Institute Alzheimer's, Machine Learning, Disease Screening
YYUAN CHENG JILIN UNIVERCITY DATASET
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
Idris CHENTOUF Bahçeşehir Unuversity Alzheimer
Yu Chenxi China University of Geosciences alzheimer's disease;Brain morphologic network system
pang chenxuan bnu 123456aB
huang chenye Anhui University of Traditional Chinese Medicine medical research on machine learning
wang chenyu zjut research
REN Chenyu East China University of Science and Technology Causal Machine Learning, Early Alzheimer’s Disease Detection
Chenyu Shen Chenyu Shen Hangzhou Dianzi University scy19980415
Bo Kyoung Cheon Samsung medical center Alzheimer's Disease
sehyoung Cheong POSTECH AD, connectivity
KyungJae Cheong Codestates Deep-Learning, CNN
Mariya Chepisheva Imperial College London Alzheimer's disease; vestibular; spatial, postural
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
Rokia Chettouh University of Tlemcen - Algeria Alzheimer's disease, feature extraction, Deep learning, CNN
Mark Cheung Carnegie Mellon University graph neural network, Spectral theory, neuroimage
Qi Cheung Institute of Artificial Intelligence and Robotics multimodal machine learning, interpretable, neural networks
Eva Cheung University of HK MRI PET AD MCI
Maulik Chevli Technical University of Munich Machine Learning, Differential Privacy, Graph Neural Networks
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
CHIA-HSING CHI National Taiwan University episodic memory, hippocampal subfields, retention performance
lutong Chi 南京农业大学 这。。
Jingyi Chi University of Pennsylvania Deep Learning, GAN, MRI
Zhang Chi Yanshan university AD
Zhang Chi Yanshan university parkinson
Song Chi the Affiliated Hospital of Qingdao University Alzheimer's Disease
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,
Adelia Chindranata University College London GenNet, phenotyping
paneeth chinta Bangalore Institute Of Technology Alzheimers, CNN
Radha Sai Rupesh Chintamanibatla Venkata Northeastern University Data Science, Data Mining, Artificial Intelligence, Image Processing
Sai Spandana Chintapalli U of Penn image processing
Ashish Chinthala ABV-IIITM Machien learning, deep learning
Hanuman Chinthapalli NA Alzheimer's Disease, CNN
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
Linus Chirchir Swansea University Machine Learning, Alzheimer's Disease
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
Sheng-Chieh Chiu The University of Alabama at Birmingham FreeSurfer segmentation
Yu Wen Chiu Taipei Medical University Alzheimer,early detection,assist decision-making,aging society
HSIU HUI CHIU AcroViz image artifact
Donghoon Cho Kyungpook National University Digital Contents, Machine Learing, ADNI
Youngjoo Cho The University of Texas at El Paso Survival analysis, Prediction models
Hyewon Cho UNIST AD early detection, AI, ML, ensemble, multimodality, deep learning
hyugrae cho samsung electronics AI, machine learning
Sang Kyu Cho University of Houston - Houston, TX prognostic factors
Yeo-Jung Cho Seoul National University Deep learning, Alzheimer disease, 18F-FDG PET
Dong Ho Cho Korea Advanced Institute of Science and Technology (KAIST) Machine Learning, Biomarker, Classification, Diagnostic
Soo Hyun Cho Chonnam National University SNAP
Sang Yeon Cho Medical School of Chungnam University Alzheimer’s disease, microglial phagocytosis
Hyuna Cho POSTECH brain connectivity
Jinwoo Cho University of Pittsburgh Dynamic Prediction, Landmarking, Joint Modelling
HyungJin Cho University of Southern California Alzheimer's Disease Neuroimaging Initiative (ADNI)
MINJEONG CHO ul National University College of Engineering deep learning, classification
Hanbin Cho University of Washington Alzheimer's disease
Youngbok cho Daejeon University Alzheimer's Dementia, MRI, PET, Protein Folding
sang soo cho Seoul National University BrainAge, machine learning, OCD, Shizophrenia
Patricia Chocano-Bedoya Bern Institute of Primary Care metabolomics biomarkers dairy cognition
Sandra Chocron UT Health San Antonio ceramide catabolism
Young Min Choe Dongtan Sacred Heart Hospital Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
Mark Choe NCIRE Imaging, Processing
John Choe OPKO MCI
LEE CHOEL HUI Korea University Alzheimer's disease
byung hyug choi KAIST / korea machine learning, network embeddings, Alzheimer feature extraction
HYUNG JIN CHOI ULSAN UNIVERSITY HOSPITAL PET FDG amyloid dementia deep-learning
Yoon Seong Choi Severance Hospital, Yonsei University College of Medicine Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
James Choi Sabio Research Alzheimer Machine Learning Neural Networks
Tae-Min Choi KAIST Deep learning, classification, early diagnosis
hyujin choi korea university hyunjin
Seo-Eun Choi University of Washington Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Sunghoon Choi Korea Research Institute of Standards and Science Generative adversarial network, synthetic PET
Yong-Ho Choi hanyang university Imaging genetics
Esther Choi Boston University Alzheimer's Disease, Computational Neuroscience
Eun Young Choi Stanford University thalamus, rsfMRI
Young Sang Choi National Cancer Center Neuroimaging, deep learning, multi-modal
Junghwan Choi . .
Mingyu Choi Chung-nam National University predicting Alzheimer gene variants using deep learning
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Kyu Sung Choi Korea Advanced Institute of Science and Technology (KAIST) follow-up
juyeon choi kbri database, web, analysis
Woo Hee Choi College of Medicine, The Catholic University of Korea striatum, amyloid PET, tau PET
Yera Choi NAVER Corp. deep learning, causal inference, multimodality
Jungwon Choi KAIST sMRI, Classification, Breain disease
Junsik CHOI Korea Univ. Deep learning
Yu Yong Choi Chosun University Hospital ethnic differences, normal aging
Uksu Choi Chosun University Cortical thickness, VBM
ByungWook Choi Daegu Catholic University School of Medicine PET, serum markers, AST, ALT, ALP, Calcium, TFT
duck ho choi Sung Kyun Kwan Univ. Alzheimer
Bo Kyu Choi Yonsei university prediction model
Jae Won Choi Armed Forces Yangju Hospital, South Korea MRI, deep learning, Image-to-image translation
changwon choi Seoul National University DTI, SPD, partially linear additive model, Lie groups
Shin Wee Chong Carl-von-Ossietzky Universität Oldenburg Advance longitudinal modeling, structural equation, bidirectional relationship
chee keong chong University Teknologi Petronas CNN, deep learning, classification,
Joyce Ruifen Chong National University of Singapore Dementia, Blood biomarkers, ratio
Yin Kiat Nicholas Chong Boston University Alzheimer's Disease, Modeling, Older Adults, Predictive
Song Chongchong BUAA medical images processing
Agamdeep Chopra University of Washington Deep Learning, MRI, Computer Vision, PET
Jill Chotiyanonta AnatomyWorks, LLC Brain MRI, Neuroanatomy, Segmentation
YIYU CHOU CNRM segmentation
zheping chou First affiliated hospital of Suzhou University multi-modal imaging markers cognitive decline.
Hsiang-Chin Chou Massachusetts General Hospital SEX, 18F-Flortaucipir (FTP)-PET signal, Abeta-PET
Yu Wen Chou National Chin-Yi University of Technology Deep learning
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
Suprit Choudhury Government College of Engineering Serampore CNN
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
DEBKUMAR CHOWDHURY UEM KOLKATA INDIA BRAIN DISORDER DETECTION
Sulogna Chowdhury Kansas State University Data Science
linkon chowdhury East delta university GO_PEPTIDOGLYCAN_RECEPTOR_ACTIVITY
Anjan Chowdhury ISI-Kolkata functional connectivity, Alzheimer, Brain connectome
Samadrita Chowdhury University of Massachusetts,Lowell Graphs, CNN, PET, FMRI
Oscar Choy Kaiser Permanente AI/ML, MRI, segmentation
Luke Christenson Mayo Clinic Data, MRI, PET
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
Aneeta Christopher National Institute of Technology Calicut medical imaging, MR images, Deep Neural networks
Aneeta Christopher National Institute of Technology Calicut MR imaging, Denoising, Deep Neural Networks, MemNet
Nicholas Christopher-Hayes UC-Davis Neuroimaging, neuropsychololgy, hippocampus, memory
Julia Christy Newcastle University neuroscince
Wang Chu Nanjing University of Science & Technology imaging data
Jiebin Chu Zhejiang University Individualized treatment effect,Causal inference, Off-policy evaluation
Chu Yang Chu China Jiliang University Research, learning
Nan Chu National Central University/CWLab International brain image data bank, AI analytics, neurotechnology
Chientiao Chu Hangzhou Dianzi University AD;Music;EEG;FC
Winston Chu University of Florida diffusion MRI, AD, free water, basal forebrain
Jielei Chu southwest jiaotong university ai
Yan Chu University of Texas Health Science Center at Houston deep learning, time series, AD onset prediction
Vivian Chu Queens College, CUNY Serial Position Effect, cognitive marker, tau, biomarker, conversion
PHUONG ANH CHU DANG Sungkyunkwan University machine learning, deep learning
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
Kai-Hsiang Chuang University of Queensland glymphatic system
jayrajsinh chudasama Birla Vishvakarma Mahavidyalaya dataset mri image with label
Luke Chugh Northumbria University Training GANs on ADNI dataset and generating synthetic images
Luke Chugh Northumbria University Alzheimer's, MRI, GANs, Deep Learning, Early Detection
kanish chugh Dr. APJ abdul kalam technical university deep learning
Haroon Chughtai UCL FAIR, large-scale processing
Evgeny Chumin Indiana University-Bloomington connectivity, tau, graph theory.
Sehun Chun Yonsei University White matter tractography
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 404
Yunro Chung Arizona State University Biostatistics; biomarker
Hyun Jy Chung Stony Brook University FWER
Paul Chung Northwell Health Imputation
Jaeyoon Chung Boston University School of Medicine GWAS CSVD stroke ICH
shi chunlei Beijing Normal University Machine Learing,Hidden information
Tang Chunyan The second affiliated of Chongqing Medical University tcy972626
jiang chunyu NEU jcyypbed627!
Gregory Church Roche -
Sotirios Panagiotis Chytas University of Wisconsin-Madison machine learning, deep learning, statistics, programming
YJ CHYU Brain institue Thank you
Iacopo Ciampa Johannes Kepler Universität Linz AI, Alzheimer, Federated Learning, Deep Learning
Claire Ciampa Brandeis University atrophy, structural MRI, COMT, DRD2, executive function, memory
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
Karl Cini University of Malta imputation, missing data, data science
georgian ciobotaru Carol Davila epilepsy myoclonus
Davide Cipollini University of Groningen AI, neuroimaging, Generative approach, data augmentation
Emilio Cipriano University of Pisa Graph Theory
Andrew Cirincione Icahn School of Medicine at Mount Sinai Ensemble Integration, Machine Learning, Predictive Modeling
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
Jamie Clarke University of Miami CSF biomarkers, Alzheimer's disease, NPS, NCI
Christopher Clarke University of Strathclyde Financial capacity, Alzheimer's, MCI
Natasha Clarke CRIUGM functional connectivity, MRI
Tayla Clasper University of Auckland Alzheimer's disease, lifestyle, ageing, mild cognitive impairment
Hannah Clavin University of Nottingham Alzheimer's Disease Imaging Dissertation
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
Letizia Clementi Politecnico di Milano functional data analysis, statistics, neurodegenerative pathologies
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