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Investigator Institution Keywords
ANIMESH KUMAR -- National College of Ireland BRAIN AGE, MRI, DEEP LEARNING, PREDITION
Mayank . IIT BHU Varanasi GAN
sakshiwala . National institute of technology patna mild cognitive impairment, resting functional MRI, brain functional network
6 78 National Taiwan University starrain0819
Shravya A VCET Puttur MRI
Shrihari A IIT Guwahati MRI, T1, HV, CNN
a a a a
Thushara A TKM College of Engineering AD,MCI,Brain graph, rsfmri,DTI,Tractography
Sai Darahas A National Institute of Technology Andhra Pradesh neuroimaging
Revathi A SRM Institute of Science and Technology machine learning
Srinivasan A CSIR-CMERI Alzheimer's Disease
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
Yassine Aakil UMASS Lowell AI, MRI, CT, Brain
nima aalizade rs cnn
Fatemeh Abadian Iran University of Science and Technology Deep learning, Weakly supervised, Classification, MRI
Brennan Abanades Kenyon Oxford Univerity segmentation, volume estimation, FSL
Hawraa Abbas Kerbala University Dementia classification
Syed Qasim Abbas La Trobe University, Melbourne Discriminate Atrophy Localization
Kainat Abbasi Habib University 3DCNN, Adam(), SGD()
ali abbasi Urmia University of Technology Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne
walid abbassi esprim 4MG69
abd elazeim abd alla mohamed nour south east university MRI,AD,MCI
Moloud Abdar Institute for Intelligent Systems Research and Innovation (IISRI) deep learning, Fusion, uncertainty quantification
REEM ABDELAZIZ cairo university research
Mohamed Abdelaziz Shenzhen university Alzheimer’s disease, multimodal data
Eman AbdElhalim Mansoura University alzeihmar
LEBAL Abdelhamid ensh blida deep learnin, attention mechanism, neural network
Moro abdelhamid Ain Shams University epistasis and SNPs
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
Mohamed Abdelsalam Mansoura University, faculty of Engineering fractal analysis, biomedical engineering
Mehdi Abdollahpour Amirkabir university of technology-Tehran Polytechnic Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN
Yousry AbdulAzeem Misr Higher Institute for Engineering and Technology Alzheimer, CNN, deep learning
Ahmed Abdulkadir University of Freiburg classification, machine learning
Mohammed A M Abdullah Ninevah University fMRI, machine learning, AD, classification
Osama Abdullah NYU Abu Dhabi Freesurfer, DTI
Azian Azamimi Abdullah Universiti Malaysia Perlis Alzheimer’s disease (AD), MRI, machine learning, prediction tool
Hassan Abdulrasul University of Toronto neurodegeneration
Kie Abe Yokohama City University School of Medicine neuroinflammation
Masahiro Abe Juntendo University Alzheimer's desease
Ali Abedi Toronto Rehabilitation Institute Federated Learning, Healthcare Informatics, Medical Data Analysis
Clement Abi Nader INRIA Alzheimer's disease Disease progression model Machine learning
Tracy Abildskov University Of Utah Mild TBI
Rahib Abiyev Near East University research
Mohammed AboArab Facullty of Engineering, Tanta University deep learning, unsupervised learning, affine image registration, deformable imag
Samaneh Abolpour Mofrad Western Norway University of Applied Sciences Alzheimer, Mixed effect model, Machine Learning, ventricle, Hippocampus
vahid abootalebi Yazd University biological signal processing, Graph signal processing
Tisha Abraham GE Deep Learning
Yonatan Abrham University of Massachusetts Lowell Healthcare, deep learning
Anees Abrol The Mind Research Network Multimodal, AD, MCI, Progression
John Absher University of South Carolina Greenville TBI exosome AD morphometry
Yasmine abu adla RHU AI biomedical enginerring medical imaging
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
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
Maria Ram Achary University of Mumbai AD,MCI,PD
MARIA ACHARY University of Mumbai AD,EMCI,MCI,LMCI,CN,PD
Sarah Ackley UCSF Alzheimers, Tau, Mathmatical Modeling
kazuamsa adachi SORD CORPORATION DTI-ALPS,ALPS-index
Noriaki Adachi MSD. K.K. (Japan Branch of Merck) threshold
Nikolaos Adaloglou INSA segmentation, medical imaging
Walter Adame Gonzalez McGill University Machine Learning, Dementia, TBI, MRI
Hieab Adams Erasmus MC University Medical Center Neurodegeneration, high-dimensional data, brain imaging, genetics
Tobias Adamsen Aalborg University Super resolution, PSNR, SSIM
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
Avizit Chandra Adhikary Florida State University Disease progression, Deep Learning
Prasad Adhiyaman Vellore institute of technology, chennai Ml model
Edward Adinkrah Charles R. Drew University of Medicine and Science sociodemographic, diagnostic, African American, Latinx
Katy Adler Bar Ilan University brain fc sc
khadar afghan KLE's Technological University mini project on segmentation on brain mri
Vera Afreixo University of Aveiro Data Analysis; statistics
Babak Afshin-Pour BioSymetrics Inc Biomarker, data fusion, Alzheimer
Joel Aftreth Bernstein Center for Computational Neuroscience Berlin convolutional neural network
Oluwaponmile Afuwape Iowa State University TMS
Sotiroula Afxenti The Cyprus Institute of Neurology and Genetics radiogenomics, radiotranscriptomics, imaging, omics
Rehan Afzal University of Newcastle cnn
Iman Aganj Massachusetts General Hospital / Harvard Medical School Brain connectivity
Abhi Agarwal Health Banyan Medical
Ajay Agarwal DIT University Alzheimer's Disease, Progression
Ishaant Agarwal BITS Pilani KK Birla Goa Campus, Sancaole, Goa Unet, segmentation, deep learning
Tanay Agarwal Vellore Institute of Technology GAN
Deevyankar agarwal Higher College Of Technology MRI,Alzhimer DIsease,MCI
Varun Agarwal N/A The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge
Siddharth Agarwal University of Nottingham brain age, chronological age, delta, radionics
Amit Agarwal USC Tau, microglia, neurodegeneration
Snigdha Agarwal Heritage Institute of Technology Alzheimer’s disease; graph theory; mutual information; network model; connection
Shruti Agarwal JHU fMRI
Bless Agbley University of Electronic Science and Technology of China Federated ML, Multimodal Medical Analysis
Arshiya Aggarwal Manipal University (MUJ) Jaipur Alzheimer's, MCI, Early diagnosis, Convolution Neural Network
Kunal Aggarwal Amity University Machine Learning, AD, MCI
Anay Aggarwal Stoller Middle School behavior test scores
Atefe Aghaei Shahid Beheshti University image processing, segmentation, feature extraction, deep learning, classificatio
samira aghaie Shahid Beheshti university DTI
maryamossadat aghili Florida International University AZNI Harp Alzheimer
Asimina Aglamisi Uiversity of West Attica master, biomedical technology, thesis
Abramo Agosti IRCCS Mondino Foundation Neurodegenerative; Multimodal; Machine-Learning
Daniel Agostinho Universidade de Coimbra AD, Machine Learning
Ambuj Agrawal Elucidata Inc. Project, Alzheimers prediction, IIIT Allahabad
Vismay Agrawal Indian Institute of Technology Madras Medical Image Analysis
Shubham Agrawal OVGU ADNI
Christian Agudelo University of Miami Miller School of Medicine DTI, microstructure integrity, gray matter diffusivity, cognitive decline
Yésika Alexandra Agudelo Londoño Universidad de Antioquia dFC, resting state, based on task
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
Kawser Ahammed Jatiya Kabi Kazi Nazrul Islam University alzheimer
Zoheb Ahasan IIT Delhi AD, Prediction
Jamila Ahdidan Aarhus University AD, hippocampus, prediction
Asha Aher San Jose State University Machine Learning Alzhmeirs
Rauf Ahmad Uppsala University, Sweden High-dimensions; Multivariate statistics; Linear models, Dependence measures
Shakeeb Ahmad Indiana University Alzheimer's Disease, Cerebral Amyloid Angiopathy
Fayyaz Ahmad UNIVERSITY OF GUJRAT SPM, FMRI
Fatemeh Ahmadi Amirkabir University of Technology Alzheimer's disease-Ricci flow-Conformal Geometry
Hessam Ahmadi Islamic Azad University, Science and Research Branch fMRI, Non linear, graph theory, functional connectivity
Kourosh Ahmadi Computing and Engineering Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net
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
Khandakar Tanvir Ahmed University of Central Florida mutation, MRI image, Alzheimer
Sabbir Ahmed Jiangnan University CNN, Alzheimer's
Mughis Ahmed UOG Multiple sclerosis
Juweiriya Ahmed Western University Psychosis, AD
Kamran Ahmed Daffodil International University AD detection
USAMA AHMED Riphah International University Machine Learning
ismail ahmed University of Anbar BRAIN ANALYSIS
Fahad Ahmed Szabist University computer vision, alzheimer’s disease, brain, mri
zubair ahmed Nust university EME college Pakistan Early Alzheimer Detection
Tasnim Ahmed Islamic University of Technology Biomedical Image Processing, Neural Networks, Machine Learning
Tahera Ahmed Bond University Alzheimer's, Early Detection, Prediction
zubair ahmed Nust university EME college Pakistan Early Alzheimer Detection
Yong Yeol Ahn Indiana University network, multi-omics, data integration
Minkyu Ahn Handong Global University Alzheimer's Disease, Random Forest, Magnetic resonance imaging
Marco Aiello Fondazione SDN Diaschisis, PET, MR, connectome, brain connectivity
David Airey Eli Lilly and Company NfL hippocampus biomarker
Zou Aixiao Beijing University of Technology data mining,bioinformatics and brain science
Michael Aizenshtadt University of Waterloo machine learning, educational
Santiago Aja-Fernandez Universidad de Valladolid Diffusion MRI, anisotropy measures, robust estimation
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
Reza Akbari Movahed Tarbiat Modares University Alzheimer,Machine Learning, Deep Learning, MRI
Hadi Akbari-Zadeh Mashhad University of Medical Science Brain Image, Age, MRI
Erdoğdu Akça Marmara University Pendik Training and Research Hospital MCI, ALZHEIMER'S DISAESE
Osman Akcatepe University of Hildesheim Alzheimer's Disease, Spiking Neural Networks, fMRI, Artificial Intelligence
Adeem Akhtar Forman Christian College University (A Chartered University) Longitudinal, Progression, Classification, Prediction
Shoaib Akhter KFUEIT Alzheimer detection using SVM and LSTM
Vasily Akimov HSE Alzheimer, Neurovisualization
Grace Akindele Hebei University of Technology, China Alzheimer's diseases, autoencoder, Neuroimaging
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
Mina Akrami Bahonar MRI images
Alexander Aksenov UCSD metabolomics
Leon Aksman UCL structural MRI, longitudinal analysis, imaging genetics
Leon Aksman USC test
Mari Aksnes University of Oslo Biomarker course, statistical workshop, UGOT/UCL
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
Hasan Al Marzouqi Khalifa University of Science and Technology deep learning, residual networks, constitutional networks, SNPs
Talib Al Shehhi DMU ANN; AI; Cognitive Attribute; Functional Attribute; ML
Obada Al Zoubi Laureate Institute for Brain Research Machine Learning, resting-state fMRI, reproducibility
Hamada Al-Absi Hamad Bin Khalifa University Alzheimer Disease, prediction, deep learning
Bassam Al-Fatly Charite University Medicine fMRI, DTI, connectivity, severity
Mohammed Isam Al-Hiyali UTP diagnosis model
Ali Al-Nuaimi Plymouth University brain disorder
Khaleel Al-Rababah DAKOTA STATE UNIVERSITY DWT
SAMI AL-SHARABI UNIVERSITI TUNKU ABDUL RAHMAN deep learning CNN Alzheimer's disease prediction classification
Aws AL-ZARQAWEE Universiti Malaysia Pahang CNN,Softmax
FADHL ALAKWAA MICHIGAN UNIVERSITY drug discovery , drug repurposing
Md Ashad Alam Tulane University Robsut kernel, Machine lerning
Raquib-ul Alam University of Sydney longitudinal,mri,mri,pet,genetic
Tanvir Alam Hamad Bin Khalifa University Alzheimer's Disease; Mild Cognitive Impairment; SNP; Machine Learning
FARIHA ALAM university teknologi malaysia neuro imaging, data process, neuroscience,
Wang Alan WTU deep learn
Imad Alanbari university of kufa perdiction analysis
Oscar Alarcon Palomar UNED U-Net
Teresa María Alarcos Tamayo WstartupC ML, AI, Alzheimer
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
Deborah Alawode University College London (UCL) Biomarkers
Raed Alazaidah Universiti Utara Malaysia Longitudinal data
Hadeel Albalawi Univeristy of Aberdeen Alzheimer’s disease, attribute selection, classification, data mining, dementia,
Ángel Alberich Bayarri Quibim Brain atrophy, MRI, Artificial Intelligence, longitudinal analysis
Ahmed Albishri University of Missouri - Kansas City MRI, Segmentation, Deep learning
Philippe Albouy Université Laval Morphometry
Joey Albrecht USC Keck School of Medicine inflammation, pathology, conversion
Tara Albrecht Copenhagen Business School gene, alzheimer, analyzing
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
Turki Alelyani Najran University machine learning, Alzheimer, MRI
John Sahaya Rani Alex Vellore Institute of Technology Alzheimer's
Bomin Alex Shandong University fMRI, dynamic functional connectivy
Robert Alexander Banner Alzheimer's Institute CDR
PANAGIOTIS ALEXOPOULOS University of Patras neuropsychiatric symptoms, AD, activities of daily living
Ahmed Samir Alfaar Charite medical university - Berlin Brain Cancer, Alzheimer's
Fidel Alfaro Almagro University of Oxford Defacing
Jaafar Alghazo Prince Mohammad Bin Fahd University Alzheimer; Image Processing; Deep Learning; Medical Diagnosis
Lea Alhilali Barrow Neurological Institute Diffusion tensor imaging
Mohd Hanafi Ali The University of Sydney Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
shahad ali Technical College of Management MRI dataset
Muhammad Ali Washington University in St. Louis Amyloid, Imaging, GWAS, genetic, biomarker, AD.
doaa Ali University of kentucky Preclinical AD - amyloid PET images_ Cognitive function tests
Obaï Bin Ka'b Ali Concordia University functional integration, multiscale dialogue, intrinsic networks
Samr Ali Concordia University machine learning, hidden markov models
Aya Ali Nile university Master project, data fusion, disease detection
YAQEEN ALI Comsats university of Islamabad Lahore campus White matter hyperintensities,ADNI,Segmentation
Nyurbek Aliev None Normal-pressure hydrocephalus, brain atlas, segmentation
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
farzad alizadeh tums fmri,deep learning
Zahra Alkabbaz University of Leeds Alzheimer explainable classifier
Ghadeer Alkofahi 3 Alzheimer
Margaret Allard University of Arizona Diagnosis, Algorithms, Image Analysis
Shanmukh Alle IIIT Hyderabad Machine Learning, Disease diagnosis
Michael Allen University of Exeter synthetic gan gtn
Brandon Allgood Integral Health tau vaccine phII clinical trial design
Randa Almaktoum Massachusetts General Hospital WM/GM Ratio AD
fatema almawed damascus MRI images of alzaheimer disease
Ina Almdahl Oslo University Hospital Cerebrospinal fluid Amyloid Depression
Mohammad Almerri Indiana University Purdue University Indianapolis Explainability, Aritifical Intelligence
Hannes Almgren Ghent University Effective connectivity, structural connectivity, cognition
Ibrahim Almubark CUA cognitive, neuropsychological
Fahad Almuqhim Florida International University Alzehimers, brain disorders
AMAL ALNASSER KFSH BREAST
Mohammed Alom Cork Institute of Technology Machine learning, Deep Learning,
Ana Claudia Alonso Freitas UC3M Longitudinal analysis. Structural imaging.
eya aloui enstab data set predict alzheimer
Shannon Alptekin Stony Brook University machine learning, clinical research, Alzheimer's Disease, pathophysiology
Hussain AlQatari Misk Foundation/ General Assembly student data research dementia prediction machine learning modeling deep neural
Saif Aldeen AlRyalat University of Jordan Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Omar Alsaif Northern Technical University hicampus, MRI, Alzheimer classification
Lama Alshabib Lean Business Services classification
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
Duncan Alston University College London p-tau 181
Israa Alsulaimi Kennesaw State University Machine Learning, Course Project
Muhammed Althaf Cochin university of science and technology MTECH project, Alzheimer disease early detection
Liora Altman-Sagan Northwestern University Alzheimer's disease probability, Bayesian inference
Andre Altmann University Collage London Imaging Genetics, Next Generation Sequencing
Lucca Altomani Universidade Paulista (UNIP) Alzheimer
Daniele Altomare University of Geneva biomarkers, Alzheimer, neuroimaging
Feras Altwal Rosalind Franklin University Alzheimer's disease
Erind Alushaj Western University QSM, MRI, Brain iron
David Alvarez Asturias Central Hospital segmentation, hippocampus, deep learning, alzheimer
Cláudia Alves Universidade do Minho MRI, Entorhinal cortex, Hippocampus, AD
Carlos Felipe Alves University of São Paulo Alzheimer's disease; Convolutional neural networks; Deep learning; Diagnosis; Mi
João Alves Universidade do Minho AD; MCI; Machine Learning; study grant.
siti nur atiqah alwi university malaya medical centre texture analysis and key features
Eghosa Amadin Stanford University diagnosis
Yahyah Aman University of Oslo Alzheimer’s disease, mitophagy, biomarkers
Ali Amanlou Amirkabir University of Technology machine learning , artificial intelligence , biomedical
Fatemeh Amanzadehsalut Alzahra Alzheimer’s disease
SAI SANTOSH AMBATI NITK SURATHKAL Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
Felix Ambellan Zuse Institute Berlin Disease classfication, Statistical shape analysis, Manifold valued statistics
Mangal Ambi D.Y.Patil.International.University,Pune Alzheimer, Parkinson, Brain , Neurodegenerative
Ananthan Ambikairajah University of Canberra Menopause, Ageing, Neuroimaging
LAMYA AMGHAR INPT CBIR,capsnet
Elena Amigo University of Aberdeen Volumetry, comedication
Manish Amin University of Florida fMRI, DWI
Sadia Amin BRAC University AD,Neural network
Engr. Amin COMSATS University Islamabad - Wah Campus volume
yahiaoui amina Blida university MRI/PET
ACHAIBOU Amina Ecole national polytechnique d'alger TEP , detection , neurodegenrative deseas
Eriza Aminanto University of Indonesia classification, alzheimer
Nasrin Amini Shahid Beheshti University of Medical Sciences Alzheimer , MRI, classification
Morteza Amini Institute for Cognitive Science Studies Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Hamed Amini Tehran 913151001HaA
Yasin Amini khuarazmi university Prediction, ANN
Morteza Amini Shahid Beheshti University Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
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
Suleiman Ampah University of Ghana Machine learning, Classifiers, Detection
ZAREEN AMTUL Independent Rsearcher Alzheimer's disease, diagnosis
Lijun An National University of Singapore ML, AD
Xiao-Lin AN Hebei University Fine classification
Chaitali Anand University of California, San Francisco PET, atrophy, amyloid, tau, longitudinal, computational
Meenakshi Anbukkarasu San Jose State University Predicting conversion from MCI to AD
Sami Andberg University of Eastern Finland Alzheimer's disease, early detection, machine learning
Loretta Anderson University of Maryland, Baltimore APOE, Alzheimer's, Epigenetics
Christina Andica Juntendo University Graduate School of Medicine Diffusion MRI, Free-water imaging
Rene Andrade Rey University of Alcala de Henares vbm, alzheimer
Daniel Andreani UBA AD
Shea Andrews Icahn School of Medicine at Mount Sinai Alzheimer's disease; mitochondria; genetic variation
Sabina Andya University of Indonesia PET scan datasets
Azhar Anees University of westminster Quantum Machine Learning, Alzheimer's, Automation, MRI
Ayush Aneja Thapar Institute of Engineering and Technology Machine learning project
Izunna Aneke University College London machine learning, msc, mri
Farhan Angan BRAC University Alzheimer, Deep learning
Spyros Angelopoulos Tilburg University AI, neural networks
Ahmadi Anis Faculty of sciences of Tunis Alzheimer's disease, machine learning
Farhan Anjum University of Management and Technology CNN
Nick Ank scetech image to image translation, GANs
Wang Anlan WUhan Textile University deep learning, Alzheimer's
Jagadeeswara Rao Annam Gudlavalleru Engieering college Alzeimers progression satges
MD SHAMSHAD ANSARI Jadavpur University Research, Master's Degree
FAIZAH ANSARI MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION
Shahab Ansari GIKI automatic brain segmentation, Alzheimer's disease, machine learning
Luigi Antelmi INRIA joint analysis; biomerkers
Georgios Antonopoulos FZ-Juelich, Institute of Neuroscience and Medicine Gray matter volume, age prediction
Febin Antony Christ (Deemed to be University) MRI, PET, Alzheimer's Data, Gray Matter. CSF
Nmachi Anumba Georgia Institute of Technology Alzheimer's disease, MR imaging, classifier
Muhammad Anwarul Azim BRAC University Feature selection, Diagnosis, Convolutional Neural Network, Optimization
Muzamil Anwer Bahria University 335630
yueyuan ao UESTC image registration, deep learning
Mazin Aouf Western Sydney University Medical Research Datasets
Li Yew Aow Yong Universiti Teknologi Malaysia classification
Jeetashree Aparajeeta VIT alzheimer's disease
CLAUDIA PATRICIA APONTE RESTREPO UNIVERSIDAD DE ANTIOQUIA ALZHEIMER'S DISEASE, GENETIC RISK, DYNAMIC CONNECTIVITY
Chatchawit Aporntewan Chulalongkorn University Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova IU AD biomarekrs
Abhishek Appaji B. M. S. COLLEGE OF ENGINEERING Machine learning, Alzheimer disease, stress, MR
Eline Appelmans Foundation for the National Institutes of Health PPSB
Dace Apsvalka Medical Reseach Council Hippocampus
Arsen Arakelyan Institute of Molecular Biology NAS Armenia spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis
Itsasne Arangoa Mondragon Unibertsitatea MRI preprocessing
Gilderlanio Araújo Federal University of Pará association networks, non-coding RNA, eQTL, population genomics
Jose Aravena Yale university psychosocial; education; biomarkers; APOE-e4
Damiano Archetti IRCCS Centro San Giovanni di Dio-Fatebenefratelli computational models
Zaniar Ardalan University of Arizona Mild Cognitive Impairment, Convolutional Neural Network
Babak Ardekani Nathan Kline Institute MRI; Corpus callosum; shape analysis;
Eleni Aretouli University of Deusto intraindividual variability
Konstantinos Arfanakis Illinois Institute of Technology mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker
Konstantinos Arfanakis Illinois Institute of Technology diffusion, DTI, registration
nouha arfaoui University MCI
Ali Ozgur Argunsah University of Zurich AD detection, convolutional neural networks
Juan A. Arias University of Santiago de Compostela Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning
Kfir Ariel Tel Aviv University thesis, research methods, neurodegenerative diseases
Kazuto Arihara The University of Tokyo Hospital I will write it later.
Taylor Ariko University of Miami Alzheimer's disease, hearing
Taylor Ariko Florida State University DTI, Alzheimer's Disease, connectivity
Ivan Arisi Fondazione EBRI "Rita Levi-Montalcini" Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
Magnolia Ariza-Nieto epIAWELL LLC epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Hanieh Arjmand University of Toronto Alzheimer; Machine Learning, Medicss
Hanieh Arjmand University of Toronto Alzheimer; Machine Learning, Medicss
Steven Armentrout Parabon Computation MDR, epistatis, cloud computing
Rui Armindo Hospital Beatriz Ângelo ASL; Neuroimaging; Research; Teaching
Carmel Armon Tel Aviv University School of Medicine /Shamir (Assaf Harofeh) Medical Center X chromosome-mediated risk, LOAD
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
Thomas Arnold University of Pennsylvania Cortical thickness, cortical atrophy
Jai Arora Netaji Subhas Institute of Technology, New Delhi Na
Amit arora ptu MRI, Mammography, image processing, Deep learning, machine learning
ibad arrasyid none mri,brain
Marlene Arredondo UCSD Research
Fernando Arreola Universidad de Monterrey Alzheimer's disease, MCI, machine learning, classification, asymmetry, atrophy
Marianne Arriola University of California, Santa Barbara modeling, connectivity, progression, structural, functional
FARAMIDA ARSHAD MULTIMEDIA UNIVERSITY fara
Emilio Artacho-Perula University of Castilla-La Mancha Alzheimer, Euclidean distances, MRI
Oswaldo Artiles Florida International University human brain networks, dynamics, Alzheimer, network analysis
Eivind Arvesen N/A machine learning, deep learning, ai, neural networks
Akhilesh Arya Manipal University Jaipur, Rajasthan India Alzheimer's Disease, AD, MCI, Neuro-degenerative
Samyam Aryal SRM Institute of Science and Technology Deep learning, Image enhancement, Filters
Amirhossein Arzani Northern Arizona University hemodynamics, blood flow, perfusion
Nibal Arzouni USC AD, Imaging genetics,
Fatemeh Asadi Tehran universityof medical sciennce Alzheimer, machine learning
bahareh asadpour ferdowsi university of mashhad research, sMRI, AD, alzheimer's disease
Babak Asadpour Shahid Beheshti University of medical sciences Alzheimer's disease, magnetic resonance imaging, white matter hyperintensities
Joseph Junior Asante University of Arkansas at Little Rock Diagnosis of Alzheimer's disease
Maame Gyamfua Asante-Mensah Skoltech Neural Networks, Classification
adsad asdhkjashd Stanford ML AI
Moslem Asgari ATA Statistics
calvin Ashe Maynooth University Final year project; Students; Covid-19
Wes Ashford Stanford leptin, Alzheimer, blood, dementia
Miriam Ashford NCIRE Clinical
Olayide Ashiru JHU Applied Physics Laboratory precision medicine, Alzheimer's
vahid Ashkani Chenarlogh Islamic Azad University Science and Research Branch Super Resolution, Neural Networks, deep learning, image processing
rakhi ashok IGNOU ML
Naba Ashraf GCUF ASD
Azhaar Ashraf Imperial College London Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Amir Ashraf-Ganjouei Tehran university of medical scienses Machine learning, Neural network
mona ashtari polytech Alzheimer’s disease- MCI- classification
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
Toshihiko Aso Kyoto University Graduate School of Medicine BOLD signal, cerebral blood flow, venous drainage
arman atalar Eskisehir Osmangazi University deeplearning, alzheimer disease, apoe4
Melvin Selim Atay Middle East Technical University Deep Learning, Explainability
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Tushar Athawale University of Utah ensemble, uncertainty visualization
Umit Atila Karabuk University deep learning, classification, automatic disease diagnosis
Selamawet Workalemahu Atnafu university of Bologna Neurological disorder, Machine Learning, Alzheimer
Shamitha S Attur Amrita Vishwa Vidyapeetham Medical diagnosis, Fuzzy classifier, Machine Learning, Alzheimer's Disease
Alessia Atzeni Queen Square Analytics segmentation, atlas building, brain ageing
Yeuk Lai Au The Chinese University of Hong Kong Neurology, bioinformatics
Michel Audette Old Dominion University hippocampus, atrophy, prognostic biomarker
Joseph Austerweil University of Wisconsin - Madison Sequencing Biomarkers, Machine learning, individual differences
Ambili AV Hindustan college of arts and science Brain multiplex, Correlative analysis, Dementia, discriminant analysis DNN, Fi
Niranjan Avadhanam self Alzheimer
brian avants Biogen brain, thickness, ANTs, conversion, amyloid
Linda Avena Ludwig Maximilians Universität blood brain barrier, glymphatic system, ADNI MEM, ADNI Exec, atrophy, MRI
Arman Avesta Yale University Deep learning, image segmentation, structural brain MRI
Luciano Ávila FACIT alzheimer pet-scan
Egils Avots University of Tartu MRI, image processing, nn, cnn
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
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
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
deniz ayvaz boğaziçi university lstm, irregular time series
faiza Ayyob university of okara Alzheimer's Disease
Harry Azadbakht TMU University Alzheimer Disease, Prediction, Regression
Narges Azari Jafari kashan university of medical sciences brain aging apolipoprotein E alzheimer's disease
Emanuel Azcona Northwestern University Graph convolutional networks, machine learning, MRI, graph signal processing
Syed Furqan Azeez Biocliq Technologies Brain Tumor
Fayez Azeez Our Memos Inc cognitive decline
Ahmad Aziz German Center for Neurodegenerative Diseases genome-wide association study, neurofilament light chain, Alzheimer disease
aniza Aziz xylexa genomic data
Ahmadreza Azizi Virginia Tech deep learning classifier
Hadi Azizpour Lindi Institute of Cognitive Science Studies AD, predict AD, MCI, Alzheimer’s disease, Mild Cognitive Impairment
MIR AZRA NIT Srinagar DEEP NEURAL NETWORK, ACCURACY TEST
darnisa azzahra Universitas UPN Jakarta Alzheimer's image dataset
Divya B Stigmata techno solutions LLP alzhiemer,ML
Deepika` B Manukau Institute of Technology analysis
Venkatesh B JSS CNN
jawahar b kongu engineering college dataset
Sathyabhama B Panimalar Engineering College Brain diseases, prediction/detection
Rudhra B IIITMK PARKINSON
Jamal Mohamed B SSN COLLEGE OF ENGINEERING,CHENNAI Alzheimer
shwetha B sjce Alzheimers, MRI, Wavelets, SVM
priyadharshini B VIT data ,Alzheimer
Athira B TKMCE Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise
Srivatsen B N University of Stuttgart Cluster Analysis
Prathima B N M S Ramaiah University of Applied Science Computer aided diagnosis Mild cognitive impairment Alzheimer's disease MRI
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Grace Babalola Binghamton University (SUNY) Chronic Disease Predictive Model
Fatima Babar G.C. Women university,sialkot neuroimaging
stalin babu AITAM DEEP LEARNING
Silviu-Alin Bacanu Virginia Commonwealth University blood transcriptomic; GWAS; fine-mapping; WGCNA
Sagar Bachhav AbbVie Amyloid beta, PET
Rochdi BACHIR BOUIADJRA université of mascara classification, deeplearning
AmanPreet Badhwar CRIUGM, University of Montreal neuroimaging, genetics
Doa'a Bador Tishreen University Alzheimer's disease; MRI
Dennis Badugu Ulster University Machine Learning
Lea Baecker King's College London machine learning, MRI
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
Ali Baghayeri Shahrood University of Technology ADNI data analysis
Ali Baghayeri Shahrood University of Technology preprocessing data
Fatemeh Bagheri University of Toronto 1.5T MRI image, 3T MRI image
yamin bagheri Tehran university deep learing, calssification, Alzheimer disease
Bryce Bagley Stanford University machine learning, clinical data science, medical machine learning
dhimas bagus teguh pambudi Informatics Machine Learning. Alzheimer
fatemeh bahadoran babol noshirvani university of technology alzheimer neural network
Alex Bahar-Fuchs The University of Melbourne Cognition, neuropsychiatric symptoms, mood
Elif Bahçekapılı Yıldız Teknik Üniversitesi Machine Learning, Disease
Mehrnaz Bahraim Tehran University AI-CNN-Alzheimer’s Disease-classification
Yang Bai WHUT 123456
Wenjun Bai ATR dynamic effective connectivity
Xiaoyu Bai Northwestern Polytechnical University Deep learning; MCI; AD
Kun Bai University of Michigan gene expression, DEG, ANOVA
Haotian Bai Shanghai University machine learning
Paul Baiju AERO AI
Abhijith Bailur SJCE Mysore MRI
Paul Baird Centre for Eye Research Australia, University of Melbourne AMD, genome wide, interaction
Divya Baiskhiyar None Deep learning machine learning
Zhang Baiwen Beijing University of Technology AD, MCI convert
Janosch Bajorath IKW - Institute of Cognitive Science Cognitive Science, Contrastive predictive coding, deep learning, Classification
Pradeep Bajracharya RIT MRI; Brain; Artifact
Reda Baka Université des Sciences et de la Technologie d'Oran - Algerie convolutional neural network, master's degree, AI, MRI, classification
Ron Baker University of Kentucky Alzheimer's AD Dementia CARTS
Susan Baker Janssen R&D Diagonsis, Progression, Biomarkers
Suzanne Baker Lawrence Berkeley National Laboratory AV45, R1
Mudathir Bakhit Fukushima Medical University DLPFC, tractography, connectome
Naman Bakhru IIT Kharagpur Hidden Markov Model, Bayesian networks
razieh bakhshandeh Iran University of medical science NONE
Akhil Bakhshi KCL Schizophrenia
mahdi bakhshi iran brain
Serguei Bakhteiarov Biogen Alzheimer, amyloid, tau
Arnold Bakker Johns Hopkins University Entorhinal Cortex
eman bakr student project
Kavitha Bakshi Ryerson Medical Machine Learning
Abhishek Bal Calcutta University PET datasets, brain
PAVITHRA BALA LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING ALZHEIMERS , EEG
Rukku Bala Ericsson Inc. dementia, alzheimers, mri, ai, clinical data
mohammad Balabandian Iran university medical sciences alzheimer
Helena Balabin Fraunhofer Scientific Computing and Algorithms Institute (SCAI) Machine Learning, Multimodal Classification
Hossam Balaha Mansoura University https://hossambalaha.github.io/
Vibha Balaji IISc Computational analysis
Chetan Balaji CIT Gubbi Alzheimer's and Parkinson's Disease
kishore balasubramanian Dr MCET CNN, bio insired algorithms
Erica Balboni University-Hospital Company of Modena Hippocampal Segmentation Deep Learning
ERDEM BALCI Gazi University PET, FDG, Amyloid
Dobri Baldaranov USC CMB, WMI, OAK, anti-platelet
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
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
Yanjiao Ban Guangxi University Alzheimer's diagnosis; Multimodal image fusion
parthi ban VIT university mri, alzheimers , CNN
Harsh Bandhey IIIT Delhi 3D-CNN, Classification, MRI, MICCAI
Mantas Bandonis Johannes Kepler University labadiena
Dipankar Bandyopadhyay Virginia Commonwealth University DTI, tensor regression, spatial methods
Swayam Banerjee Jadavpur University Deep Learning, Image processing, Alzheimer's Detection
Abhijit Banerjee Dr. B C Roy Engineering College, ECE Deep Learning, Classification
Ji-In Bang CHA Hospital neuroimaging
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
SANCHIT BANSAL the university of hong kong -
Shivansh Bansal JECRC University Medical Image, MRI, CT Scan
Deepika Bansal The NorthCap University Gurugram Machine Learning, Deep Learning, MRI Image
Jaume Banus Cobo INRIA Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid
QiHan Bao Weifang Medical University statistics Instrumental variable
jinzhou bao Beijing Normal University research
Lu Bao Nanjing Normal university Functional data analysis,FPCA,Block-wise missing data,Data imputation
Pham Hoai Bao International University - VNU-HCM Artificial Intelligence
YIWEN BAO University of Hong Kong amyloid-PET
BaoZuPeng BaoZuPeng China Jiliang University Research
Rohan Bapat Stony Brook Machine Learning, Convolutional Neural Network
Anand Kumar Bapatla University of North Texas EEG, fMRI
ali barati tums rs-fmri
Sheena Baratono Beth Israel Deaconess Medical Center apraxia
Eduardo Barbará Universidad Autónoma Metropolitana (UAM) image processing data analize
Justin Barber University of Kentucky neuropsych testing, education, amyloid, wmh
Philip Barber University of Calgary stroke; TIA; brain atrophy; dementia
Robert Barber University of North Texas Health Science Center Alzheimer's disease genetics
Jordan Barbone West Chester University Independent, personal use
Adriano Barbosa da Silva Queen Mary University of London Machine Learning, Artificial Intelligence, Prediction
Justin Bardwell University of Western Australia Predicting conversion CNN
Steven Barger University of Arkansas for Medical Sciences amyloid, PIB, florbetapir, prescription, drug
IOANNIS BARGIOTAS ENS CACHAN Control, Alzheimer,PET images
Berardino Barile Université Claude Bernard Lyon 1 Artificial Intelligence
Giuseppe Barisano University of Southern California perivascular spaces
chris barlow The Open University AD, Dementia, MCI, Biomarkers, Trisomy 21
Leland Barnard Mayo Clinic high throughput PET processing pipeline
Jude Baroudi University of Pittsburgh Alzheimer’s, Neuroimaging, Artificial Intelligence, Medicine
Sandra Barral Columbia University GWAS plasma beta amyloid
Olivier Barret CEA Normalization, ATLAS
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
Antara Titikhsha Barua Asian University for Women AD
Dinesh Barupal Icahn School of Medicine at Mt Sinai metabolomics
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
SHAIK BASHEERA ACHARYA NAGARJUNA UNIVERSITY Alzheimer’s disease, Deep learning, Classification, Gray matter, Enhanced ICA
Abol Basher Chosun University Alzheimer
Usman Bashir St Barts Hosptal CNN
FAROUQ SADIK BASHIR DIT UNIVERSITY Alzheimer
Nauman Bashir COMSATS UNiversity Islamabad XAI; Deep learning; Automatic diagnostic; Concept
Gianpaolo Antonio Basile University of Messina thalamus
Rodrigo Basilio IDOR DNN Machine Learning
Natalia Basimova Moscow Institute of Physics and Technology Convolutional Neural Nets, multiclass classification, regression models
David Baskin Wake Forest School of Medicine network analysis
Rani Basna University of Gothenburg, Institute of Medicine Alzheimer's disease, mild cognitive impairment, longitudinal,
Cher Bass King's College London generative models, deep learning, biomedical data
Blanca Bastardés Climent Peltarion AB Autism Spectrum Disorder, GANs, Neuroimaging, Master Thesis
José Bastos Universidade de Aveiro CNN, DL, Classification
Rikin Basu Vellore Institute of Technology , India deep learning , image processing , Alzheimer’s, diagnostics
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
ganga surendra basva bharath university datasets
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
Richa Batra Weill Cornell Medicine PRS, Metabolomics
Chakib Battioui Eli Lilly Tau Pet
Mark Battle GE Healthcare Centiloid, PiB, imaging windows
Pryangka Rao Batumalay Ryerson University Biomarkers and Alzheimer Disease Stages
Lucia Batzu King's College London - Maurice Wohl Clinical Neuroscience Institute Alzheimer's disease; MRI; neuroinflammation
Matthew Baucum University of Tennessee Knoxville machine learning, disease progression, time series
Roman Bauer Newcastle University computational neuroscience
Guilherme Bauer-Negrini Universidade Federal do Rio Grande do Sul neuroimaging, pipeline
Sarah Bauermeister University of Oxford machine-learning; cognition; socioeconomic status; lifestyle; early-life
Baris Baydargil Kyungsung University Alzheimer's disease, Medical Imaging, Deep Learning, Meta Learning
Mehmet BAYGIN Ardahan University Dementia, ADNI, Machine Learning
Gunes Bayir Bogazici University brain networks, graph neural networks
Peter Bayley VA Palo Alto Health Care System, CYP191A, hippocampus, apoe4, neuropsychology
Inci Baytas Bogazici University Long short-term memory, disease progression
Md Shamsuzzoha Bayzid Bangladesh University of Engineering and Technology Alzheimer's disease progression; Machine learning
Farideh Bazangani Aix Université Marseille machine learning
Tariq Bdair Technical University of Munich SSL segmentation
Derek Beaton Baycrest partial least squares, multivariate, genetics
Sam Beaton Self network
Helen Beaumont University of Manchester diffusion DOC atlas
Lino Becerra Invicro asl, cbf
Laurel Beckett UC Davis Biostatistics
Hasan Atakan Bedel Bilkent University Deep learning, disease bio-marker, fMRI
Simone Beer Forschungszentrum Juelich quantitative PET
Joanne Beer University of Pennsylvania Perelman School of Medicine imaging, multi-scanner
Mirza Faisal Beg Simon Fraser University MR, LDDMM, segmentation, registration, statistical shape analysis
Rabiya Begam M PSG College of Technology Early Detection, Deep learning, Alzheimer's Disease
RAZIYA BEGUM KLU UNIVERSITY DEEP LEARNING ,MRI DATA
kauser begum The Center for Advanced Genomics disease-variants diagnostics
Iman Beheshti CERVO Research Center, Mental Health University Institute of Quebec estimation, brain age, MRI
Nazanin Beheshti University of Houston CNN, Spatitemporal locality, Classification,
Rahmat Beheshti University of Delaware Multimodal data analysis, Synthetic data generation
Qumars Behfar Cologne University hospital Connectome
Hamid Behjat Lund University shape analysis, topological similarity, classification, early diagnosis
Hamidreza Behjoo Skolkovo Institute of Science and Technology CNN, Tensor decomposition
Jordan Behn Northwestern University PPA
Finn Behrendt TUHH MRI, Deep-Learning, UAD, self supervised learning
Tina Behrouzi University of Toronto GSP for brain mapping
mina beigi university of kerman better life
Tessa Beijloos Tilburg University vader model
Nadja Bekele EY Deep Learning, Recurrent Neural Networks, Reinforcement Learning
Victoria Belancio Tulane University genetic variation
Mahanand Belathur Suresh Sri Jayachamarajendra College of Engineering AD,MCI
Sergey Belavin Saint Petersburg University Classification. Machine learning.
Alexander Belden Northeastern University DTI, Music Based Intervention, auditory, reward
Simon Bele University of Ljubljana data augmentation, machine learning, deep neural networks
Hafida BELFILALI Tlemcen university Alzheimer, early Detection, deep learning
Vincent Beliveau Medical University of Innsbrucl n/a
Samantha Bell Cleveland Clinic - Lou Ruvo Center for Brain Health dementia, Alzheimer's, hippocampus, aggression
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.
Yulia Belousova BMSTU MRI, Alzheimer, hippocampus
Martin Belzunce Royal National Orthopaedic Hospital PET, PIB, Image Processing, Partial Volume Correction
Fu Ben Zhengzhou Univerisity Multimodal deep learning;Early diagnosis
iliass ben faculté de mohammed premier ai
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
nadra ben-romdhane MIRACL alzheimer
Marc Benayoun Wake Forest Baptist Health convolutional neural network, AI
Federica Bencivenga University of Roma "La Sapienza" connectivity, fMRI, resing-state networks
Andrew Bender Michigan State University diffusion MRI, machine learning, latent factors,
Andreana Benitez Medical University of South Carolina MoCA, Item Response Theory
Idriss Bennacef Merck & Co. tau
Lauren Bennett Hoag Memorial Presbyterian Alzheimer's disease, diabetes, verbal memory
Neal Bennett Gladstone Institutes metabolism
Erin Bennett The George Washington University Milken Institute School of Public Health generalizability, epidemiology
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
Alexandre Bense ETH Zürich degeneration white matter prediction, deep learning
Randall Benson Center for Neurological Studies NFL, concussion, mTBI, dementia, AD
Mariana Bento university of calgary machine learning, image features, dementia
El Mehdi Benyoussef Hassan 2nd University of Casablanca Machine Learning, Image Processing, Alzheimer's Disease
Meryem Benyoussef Sorbonne University Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment
Seo Beomjin Kyunghee University DCSRN , MRI BRAIN image , super image resolution
Nicole Berbery Lebanese International University MRI images/ Brain Age Prediction/ artificial intelligence
Cosmin Bercea Helmholtz AI Anomaly Detection, Federated Learning
Maurizio Bergamino Laureate Psychiatric Clinic & Hospital DTI; GQI; structural connectivity; prediction model
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
Visar Berisha Arizona State University Machine learning models, repeatable composites
Shaila Berlas University of Pennsylvania Data management
Michael Berman Hadassah Academic College CT, MRI, Ultrasound, Imaging reconstruction, Deep Learning
Jose Bernal The University of Edinburgh Atrophy, Longitudinal
Haley Bernhardt Washington University School of Medicine ADNI
Rachel Bernier UC San Diego sex differences; Alzheimer's disease; tau
Rachel Bernier UC San Diego sex differences; Alzheimer's disease; tau
Adam Bernstein University of Arizona Thalamus, Deep Learning
Stuart Berr University of Virginia PET
David Berron Lund University MTL, hippocampus, structure, preclinical AD, amyloid PET
David Berron Lund University MTL, atrophy, Abeta
Tessa Berry Blue Cross Blue Shield of Illinois deep learning, POC
Laiss Bertola Universidade Federal de Minas Gerais Genetics, using ADNI data as a teaching example, Friday Harbor
Lars Bertram University of Luebeck GWAS, EMIF, QTL, PGS
Sydney Bertram Clemson University tbi, traumatic brain injury
Olfa Besbes ISITCOM http://www.infcom.rnu.tn/content/ Machine and deep learning, early detection
Pierre Besson Northwestern University Deep learning, prediction, big data
John Best University of British Columbia forecasting, TADPOLE, regression-based prediction
Richard Bethlehem University of Cambridge statistical learning, neuroimaging
Tobey Betthauser University of Wisconsin-Madison PET, neuroimaging, processing
Erin Beveridge Canon Medical Research Europe Brain segmentation, neurodegenerative disease, machine learning
Liudmila Beziaeva Nant deep learning Alzheimer
Archana Bhade Government College of Engineering,Amravati machine learning
Sayantan Bhadra Washington University in St. Louis generative model, MRI
Arijit Bhaduri Jaypee Institute of Information and Technology image-classification
Eui-hyun Bhae korea advanced institute of science and technology deep learning, Alzheimer's disease
Tushar Bhangale Genentech GWAS
Pradyumna Bharadwaj The University of Arizona MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID
Lakshita Bhargava Maharaja Agrasen Institute of Technology Deep Learning; Alzheimers; Progression;Prediction
Devashish Bharti Converz Ltd AI, brain, neurological disorder
Harsh Bhasin Jawahar Lal Nehru University MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
Chethana Bhaskara University of Southern California alzheimers, machine learning
Nithya Bhasker TU Dresden graph convolutional networks, disease prediction
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
Ruchir Bhatt Nanostring technologies Deep learning
Atanu Bhattacharjee Tata Memorial Centre Joint longitudinal modeling, time to event data, biomarker
SATARUPA BHATTACHARJEE UC DAVIS Analyze, Statistics
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
Sudeepa Bhattacharyya Arkansas State University metabolomics, neuroimaging
ARINJITA BHATTACHARYYA University of Louisville shrinkage, logistic regression, variable selection, prediction
Uttam Bhetuwal Brown University Deep learning,brain imaging
Pradnesh Bhike AISSMS College of Engineering Pune Study, CNN
Rimmon Bhosale IIT Palakkad CNN, deep learning, medical images
SAJAN BHOSALE SANJAY GHODAWAT UNIVERSITY Alzheimer's Dataset
Amanjot Bhullar University of Guelph artificial neural netowrk
Xin Bi Northeastern University brain network, fMRI, Alzheimer's Disease
Cheng Bi Chinese Academy of Sciences Medical image analysis; Artificial intelligence
Hanwen Bi Columbia University Functional connectivity, VAE
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
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
Saba Bibi international Islamic university Islamabad alzheimer
Ayesha Bibi University of Gujrat Alzheimer's disease
Abhinav Bichal Att intern Machine learning model, Biomarkers, Correlations, Data Scientists
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
Jordan Bilderbeek University of Chicago MRI, neuroimaging
Murat Bilgel National Institute on Aging FDG, amyloid, DTI, MRI, atrophy, longitudinal
Emirhan Bilgiç Istanbul Technical University Early Diagnosis, Alzheimer's Disease, Dataset
Ali Bilgin University of Arizona WMH, segmentation, deep learning
Benjamin Billot UCL segmentation, volumetry analysis
wang bin Changchun University of Science and Technology niyaowoa87326910
Reem Bin Hezam Dublin City University dementia, modifiable risk factors
song binbin Donghua University studying master;Alzheimer's disease
Aidan Bindoff University of Tasmania biomarkers, cognitive decline, dementia
Ni Bingjie Huazhong University of Science and Technology Deep Learning、Neurofunctional assessment
Ni Bingjie Huazhong University of Science and Technology alzheimer's disease
Huang Bingsheng Shenzhen University AD, brain age
Huang BingYao Beijing University of Posts and Telecommunications joint modeling
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
Ram Bishnoi Medical College of Georgia dementia, latent variables, neuroimaging
Anna Bishop Boston University deep machine learning, MatLab, AlexNet, neural network
Bharat Biswal NJIT fMRI; functional connectivity, brain
Sanglap Biswas IEM Alzheimer
Subhrangshu Bit Ramakrishna Mission Vivekananda Educational and Research Institute Algorihtm, Machine Learning Preclinical Alzheimer's disease
Malin Bjornsdotter Sahlgrenska University Hospital stroke, epilepsy, aging
zhang bl JiLinUniversity Prediction ,Alzheimer,Graph Neural Network
Sandra Black Sunnybrook Research Institute MRI Volumetry, Alzheimer disease progression
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.
Wouter Bloem Amsterdam UMC Longitudinal, tau, PET, review
Emma Bluemke University of Oxford healthy ageing, neural networks
Jenna Blujus UWM Alzheimer's disease
Dominik Blum University Hospital Tuebingen Parkinson, Cognition, FDG, denoising
Stefano Blumberg University College London Experimental Design
Xiaolin Bo University of Science and Technology of China Statistical longitudinal data analysis
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
Bojan Bogdanovic Ss. Cyril & Methodius University in Skopje bioinformatics, prediction, AD, university
Craig Bohrson Harvard Medical School clonal hematopoiesis, Alzheimer’s disease, Dementia
Arun Bokde Trinity College Dublin MRI, grey matter, volumetric, hippocampus
Joseph Boktor California Institute of Technology microbes, WGS
Joseph Boldrey Iowa State University TMS, Neuromodulation, Magnetics
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.
Seth Boren UTHEALTH DTI, ASL, 3D-T1w
David Borensztajn University of Amsterdam Machine learning, MRI, CNN, Brain disease
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
Léonie Borne University of Newcastle Anatomy, structural MRI, cortical sulci, machine learning
Iris Bosch University of Gothenburg PET MRI biomarkers
Christian Boschenriedter Heinrich-Heine-Universität Düsseldorf Parkinson's disease, machine learning
Aditya Bose Manipal University Jaipur GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data
Shirsha Bose Jadavpur University Found
chandran bose NIELIT alzheimers data
Marcos Bosques Florida International University neural networks; machine learning; classification;
Nicholas Bott University of California San Francisco cognitive aging; structural imaging; inflammation
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
Wafa Boukellouz university of ferhat abbas setif MRI, CTm prediction
Pierrick Bourgeat CSIRO ICT Centre Segmentation, registration, longitudinal study
Jessica Bourgin Université Savoie Mont Blanc 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
Olfa Bouzidi fsm Deep learning
Emily Bove Cogstate Cogstate
Zheng Bowen Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences Deep Learning
Sebastien Boyer Basel University Disease progression, ADAS-cog
hong boyi 华南理工大学 Classification of Alzheimer's disease
Christina Boyle USC/IGC AD MCI Conversion MRI
Serdar Bozdag University of North Texas machine learning, data mining
Jeffrey Brabec University of Vermont NetWAS, PheWAS, CNNs, Derived-phenotypes, Canonical Correlation Analysis
Julien Bradfer Halmstad University deep learning
Nicholas Bradfield St Vincent's Hospital Melbourne Mild cognitive impairment; neuropsychology; memory
Tyler Bradshaw University of Wisconsin attenuation correction
Joana Braga Pereira Karolinska Institute CSF, MRI
Delfina Braggio Pladema hippocampus, shape, volume, deformation
Nadia Brancati National Research Council of Italy image processing
Valentina Brancato IRCCS SDN DICOM
Marcus Branch Federal University of Santa Catarina scientific research, dataset
Lodewijk Brand Colorado School of Mines haploview, plink
Jose Bras UCL, Institute of Neurology Neurogranin, neurofilament light, biomarker, genetics
Maciej Brasewicz Uniwersytet Szczeciński Alzheimer
Meredith Braskie USC inflammation
Jana Bratanić Faculty of science Split alzheimer desease
Christina Braun Fraunhofer-Gesellschaft AI-based model
Noa Bregman Tel Aviv Medical Center verbal fluency
James Brewer UCSD subregional change MRI, PET
Adam Brickman College of Physicians and Surgeons, Columbia University white matter hyperintensities, PIB, amyloid
Ross Briden Brown University MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis
Joshua Bridge University of Liverpool AI, Deep learning
Robert Bridges Aegis Imaging Consultants Hypometabolism
Danielle Briggs Brigham and Women's Hospital ADNI 3, LONI, coordinator
brizzle brizzle Sichuan University Jincheng College AI bigdata
Thibaud Brochet Université de Rouen / LITIS Deep Learning Classification Segmentation Unsupervised multitask
Esther Bron Erasmus MC Classification
Kévin Brou Boni Centre Oscar Lambret GAN, CT, MRI, pseudo-CT, radiotherapy
Jonathan Brouillette Hopital du Sacre-Coeur de Montreal Retinoic acid, Alzheimer's disease, Single-nucleotide polymorphisms
Valerie Brouwers Erasmus University Rotterdam Predictability MMSE scores joint lasso method
Francesco Brovelli University of Milan-Bicocca conversion, MRI, amyloid PET, MMSE
Anastasia Brovkin University Medical Center Hamburg- Eppendorf Deep learning, biomarker, prediction, statistics
Thad Brown Personal Interest pydicom
Shael Brown McGill Connectome harmonics, Manifold learning
Chiara Brück ErasmusMC Microsimulation modelling; Public health; Dementia; Epidemiology
Sarah Brueningk ETH Zurich Interpretability, machine learning, risk prediction
Divya Brundavanam Karolinska Institutet predictive modeling, multimodal MRI
Iva Brunec University of Toronto Hippocampus, Memory decline, fMRI
Irene Brusini KTH Royal Institute of Technology Structural MRI, segmentation, deep learning, shape analysis
Oliver Bruton Carl von Ossietzky Universität Oldenburg Alzheimer's disease (AD), dementia, CDSS, disease progression
Enrico Bruttomesso MSC computer engineering student (Uninettuno International University) alzheimer mri deep learning neural network dnn
Annie Bryant Massachusetts General Hospital tau, perfusion, blood vessels
Christopher Brydges University of California, Davis Bayesian statistics; research methods
Andrea Brzeczkowski University of Wisconsin - Madison pharmacokinetic, imaging
Rakshitha BS christ faculty of engineering Machine Learning , Deep Learning, Classification
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
Hans-Georg Buchholz University Medical Center NEUROSTAT, SPM12
Bradley Buchsbaum Baycrest Centre for Geriatric Care fMRI PET correlation
Maciej Buciński University of Adam Mickiewicz Neuroimaging, Deep Learning, Data Science, Machine Learning
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,
Kauê Bueno Universidade São Judas Tadeu #deeplearnig #machinelearing #alzheimer
Virginie Buggia-Prevot Valo Health Neurodegeneration, drug discovery, machine learning
Duc Toan Bui Sungkyunkwan University synthetic image, cycleGAN
DANH bui hufi DNN
Duc Toan Bui Sungkyunkwan University GAN
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
Santi Bullich Life Molecular Imaging GmbH florbetaben SUVR cutoff
Brendan Bullivant University of California Santa Barbara Machine Learning
Saurabh Bundela Jabalpur University Deep Learning, Image Analysis, Genetic and Proteomics biomakers
Kaileigh Bunting Cognitive Neuroscience of Schizophrenia Lab fMRI, MRI, CPCA, BOLD,
Ninon Burgos University College London PET synthesis
Haroon Burhanullah Johns Hopkins University Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging
Samantha Burnham CSIRO Alzheimer's; genetics, Validation, Longitudinal
Mina Burns London School of Economics Survival analysis, machine learning
Kory Burns Sandia National Laboratory Machine Learning, Deep Learning, analytics, reproducibility
Felicia Burtscher University of Luxembourg biomarker
Hendrik Burwinkel Technical University Munich Graph-based deep learning, machine learning
Tomasz Burzykowski Center for Statistics biomarker, Alzheimer's disease, biostatistcs
Eva Bus Vrije Universiteit Amsterdam Machine learning; Supervised machine learning; Prediction
Geraldo Busatto-Filho USP magnetic resonance imaging, cognitive reserve, PET, tau
William Bush Case Western Reserve University Loss of Y, Copy Number
Stephanie Buss Beth Israel Deaconess Medical Center cognitive reserve, exercise, education, music, social
Aurelie Bussy McGill University Hippocampus Segmentation Aging Alzheimer's Disease
Bernabe Bustos Northwestern University WES, Burden, rare variant analysis
Paul Butler Biogen neuropsychology, Alzheimer's disease, MCI, aging
Omar Butt Washington Univeristy in Saint Louis Resting State
Omar Butt Washington Univeristy in Saint Louis Resting State
Markus Butz-Ostendorf Biomax Informatics Big Data, semantic data integration, multimodal brain imaging, AD
Selim Buyrukoğlu Çankırı Karatekin University Artificial Intelligence, Machine Learning, Deep Learning, Prediction Tool
Gonca Buyrukoglu Karatekin University ANN, Random Forest
Calin Buzea IFT medical physics
Giulia Buzi Università degli Studi di Torino Alzheimer's Disease; Biomarker; Memory: APOE-e4
Punith BV International Institute of Information Technology Bangalore Punith, Punith BV
Sekhar BVDS S R K R ENGG COLLEGE alzheimer, Artificial network, Data scirnce
Samantha By Hyperfine segmentation
Seonjeong Byun Uijeongbu St Mary's Hospital College of Medicine, The Catholic University texture, functional connectivity, mild cognitive impairment, progression
Jiyoung Byun KAIST Alzheimer's disease
Jihyun Byun University of Johannesburg Alzheimer's Disease, computer-aided diagnosis, deep learning
Michał Błotko Silesian University of Technology MRI, Alzheimer, Data Science
Sreelakshmi C htic Deep learning
safna c a CUSAT Gene expression data
Emilio Cabañero Universidad Autonoma de Madrid degree project
Ryan Cabeen USC LONI tools
María del Rocío Cabello Toscano Universitat de Barcelona Cognitive Reserve; Alzheimer's Disease; Normal Aging; Functional Connectivity
Monia Cabinio IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente AD, HC, structural MRI, functional MRI
Joana Cabral University of Minho fMRI
Ylermi Cabrera-León Universidad de Las Palmas de Gran Canaria Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
Maria Caceres Universidad Catolica Boliviana "San Pablo" Alzheimer
Frederic CADET University of La Reunion Machine Learning, Biochemistry, Genomics
Xavier Cadet Imperial College London Machine Learning, Dementia
Refsi Cahya Brawijaya brawijaya
Samuel Cahyawijaya HKUST deep neural network, alzheimer disease, sequence modeling
Fanco Cai CQ 1
erik cai wenzhou university multimodal neuroimaging
Hongjie Cai Shanghai Jiaotong University AD/MCI diagnosis, deep learning
Chunting Cai Xiamen Univeersity cct724724
Lingrui Cai Ann Arbor Algorithms autoencoder, unsupervised learning, feature extraction
Shangyu Cai Szu University AD FMRI
bingyang Cai SJTU AD MRI PET
Congbo Cai Xiamen University Image reconstruction, Multimodal image, Deep learning
yuan cai Chinese university of HongKong plasma biomaker ,AD pathology
Hailin Cai Chongqing University AD,
Jiahui Cai stu AD
Jinhua Cai Sun Yat-sen Memorial Hospital, Sun Yat-sen University lipids, apolipoprotein, cognition
Ning Caichen IT 01234567890
francesca caiozzo other alzheimer
yan caiying Nanjing Medical University early diagnosis,Imageology,MRI
Ismael L Calandri Fleni Machine learning, normal ageing
Toro Caleb University of North Dakota biomarkers, feature selection methods
Maria Eugenia Caligiuri Università degli Studi Magna Graecia di Catanzaro DTI, morphometry, AD, MCI
Ana CALIN Insa Rouen Bayesian Networks
Brandy Callahan University of Calgary diagnosis, neuropsychology, dementia, mci, norms
James Calo Imperial College London Machine Learning GAN Pix2Pix CycleGan Federated Rival Segmentation
Frederic Calon Universite Laval Alzheimer
Eduardo Camacho UPV Artificial Intelligence, lesion segmentation
Rui Camacho Faculdade de Engenharia da Universidade do Porto Multi-Relational Data Mining
Aldo Camargo University of Maryland of Baltimoree Longitudinal study,ASL, PET-FDG,
Borja Camino Health Research Institute Biocruces-Bizkaia voxel-based morphometry, connectograms, resting functional connectivity, teach
M'Saydez Campbell Universite Jean Monnet machine learning neuroscience
Alex Campbell University of Cambridge deep learning, machine learning, fmri, diagnosis, unsupervised
Avalon Campbell-Cousins The University of Edinburgh Brain networks, brain activity, fMRI, DTI
Jacques-Yves CAMPION Aix-Marseille University machine learning, classify, alzheimer disease, fdg-pet, mri, discordance index
Martha Rebeca Canales Fiscal Instituto Tecnológico y de Estudios Superiores de Monterrey Machine Learning, Classification
Samuele Cancellieri University of Verona Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS
Vasco Candeias INESC-ID dynamic bayesian network, cloud computing, web, internet
Sema Candemir The Ohio State University Wexner Medical Center computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P
Marco Canevelli Sapienza University frailty, aging
Samuele Cannucci University CNN
Juan Cano Uniandes Machine learning, Diagnoses
Antonio Cano Montes ULisboa medical deep learning
Jose L. Cantero Pablo de Olavide University sleep2019
Christelle Cantet Gerontopole CHU Toulouse omega-3, cognitive function
Bing Cao university of north carolina at chapel hill medical image synthesis
hongjun cao YanShan University 数据
Xuexiang Cao Philips Alzheimer, deep learning
Jiahang Cao Imperial College London Alzheimer's disease, deep learning
weifang cao shandong first medical university aging neuroimaging
Jiahang Cao Beihang University deep learning model
yingli cao Jiangnan University study
Yan Cao University of Texas at Dallas image analysis
Eric Cao Albert Einstein College of Medicine AI, CNN, amyloid-beta
Jiguo Cao Simon Fraser University brain network, QTL mapping
Shyu Cao UESTC AlextNet for AD prediction
Lingcan Cao Xi'an Jiaotong University brain network dynamics, default mode network
Bo Cao University of Texas Health Science Center at Houston Machine learning
Gongpeng Cao Beijing University of Posts and Telecommunications artificial intelligence, precise diagnosis of AD
Jiahang Cao Beihang University 区块链
Guanqun Cao Auburn University functional data, ADNI
Xuan Cao University of Cincinnati sMRI, fMRI, radiomics, generalized linear models
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
Chiara Carbone Università degli Studi di Modena e Reggio Hippocampus, PhD
Valerie Cardenas Nicolson Palo Alto VA fMRI, DTI, T1, rTMS
Heitor Cardoso Institute for Systems and Robotics machine learning, psychology
filippo carducci university of rome PET AD
Don Cariddi SUNY Oswego Alzheimer's Disease Early Detection
Bruce Carlson Ohio University education
Jeremy Carmasin Massachusetts General Hospital PIB FDG AD MCI
Owen Carmichael UC Davis cortical thickness
Diedre Carmo Faculty of Electrical and Computer Engineering - UNICAMP Deep Learning, Hippocampus Segmentation
Paula Carmona Gallego Universidad autónoma de Manizales Machine learning
Caio Carneloz UNESP Semi-Supervised Learning, Deep Learning, CNN's
Miguel Adolfo Caro Parrado Universidad Nacional de Colombia brain aging patterns
Lucy Carolan Newcastle University fine art, sculpture, installation, artists' books, sciart
Anna Caroli Istituto di Ricerche Farmacologiche Mario Negri IRCCS COVID-19
Valerie Carr San Jose State University teaching
Thomas Carr University of East Anglia / Norfolk & Norwich University Hospitals Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
Cristhian Carrillo Universidad Autonoma de Occidente Neural network, CNN, Alzheimer
Fernando Carrió Argos Instituto de Física Corpuscular - University of Valencia Deep Learning, Super Resolution, FPGA
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
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
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
David Cash University College London familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Julian Caspers University Hospital Düsseldorf predictive modeling, machine-learning, domain-adaptation
Hilario Castañeda Universidad Nacional de Ingenieria-Docente investigador machine learning
Nikol Orlando Castellanos Diaz Universidad Autónoma Metropolitana Biomarkers, alzheimer's disease
Isabella Castiglioni National Reserach Council AD, MCI, image classification, diagnosis, 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
Mac Gayver Castro University Center Christus Alzheimer disease, imaging, algorithms
JUAN ANTONIO CASTRO SILVA UNIVERSIDAD DE SALAMANCA medical image analysis, alzheimer's disease
Ana Sofia Castro Verde Champalimaud Foundation DTI rsfMRI
David Catanho o8t DICOM MRI T1
Francesca Catto University Hospital Zürich Alzheimer, PET, scans, raw data
Pedro Cavalcanti UFRN Image Processing, MatLab.
Michele Cavallari Brigham and Women's Hospital, Harvard Medical School amyloid, perivascular spaces, glymphatic
Enrica Cavedo Qynapse hippocampus
Justin Cawood Charles Sturt University Alzheimer's, Likelihood-ratio, MRR
Kyra Cebula University of Manitoba brain imaging
Emilio Cecchini Univerity of Florence deep learning,machine learning,3d,classification
Selahattin Barış ÇELEBİ Batman University computer aided diagnosis, convolutional neural networks; deep learning; image cl
Gaffari ÇELİK Ağrı İbrahim Çeçen Universitesi Alzheimer’s Disease, Deep Learning
Yunus Emre Celik University of Paris final project
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
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
Satish Chada Pulmonary Services of North Texas Machine Learning, Artificial Intelligence, MCI, AD, COPD
Clement Chadebec Université de Paris Deep learning, classification
Sukang Chae POSTECH Artificial Intelligence, medical image classification
Pavan Chaggr University of Oxford Alzhiemer's, morphology, degeneration
Kalayanee Chairat King Mongkut's University of Technology Thonburi GWAS
yanawut chaiyo mfu classification , dementia
Daniel Chalupa Brno University of Technology Pharmacokinetic Modeling, Multiple Classifier Systems
Jordan Chamberlain The Pennsylvania State University ADNI3 advanced diffusion, Siemens Advanced Prisma VE11C
Harshil Champaneria Arizona State University Research Project on Deep Learning
Kannie WY Chan City University of Hong Kong; The Johns Hopkins University School of Medicine MRI, AD, deep learning
Katie Chan City University of Hong Kong Molecular epidemiology and bioinformatics
Jason Chan University of Calgary Gene expression, amyloid, tau, neurodegeneration, PET, MRI
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
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Eldon Chan University of California, Berkeley Deep Learning, Alzheimer's Recognition and Prediction
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
Tirtha Chanda University of Magdeburg, Germany disease
Mayurakshi Chanda National Institute of Technology Silchar Deep learning, Neural network
Maya Chandar Canterbury School Alzheimer's Disease, mild cognitive impairment, neurodegeneration, algorithm
Trevor Chandler Artificially Intelligent Alzheimer’s, Amyloid, Memory, Brain
Hannah Chandler Cardiff University MRI PET genetic risk
Subhadeep Chandra National Institute of Technology, Durgapur CNN
Avinash Chandra King's College London Alzheimer's disease; amyloid; tau; genetics
Minyu Chang Cornell University Fuzzy-trace theory; factor analysis
RUI CHANG University of Arizona Alzheimer's, Sex difference
Jeryn CHang The University of Queensland Hypothalamus; BMI; DWI
Ya-Hsuan Chang University of Kentucky Data analysis
WeiTang Chang UNIV OF NORTH CAROLINA AT CHAPEL HILL dMRI
Can Chang Being Normal University neuroImage; deep learning;disease prediction
Wonjae Chang Neurocle AD, AI, Auto Segmentation
Kai CHi Chang National Yunlin University of Science and Technology reserch CNN
hsin-wen Chang National Tsing Hua University Alzheimer
Changgee Chang University of Pennsylvania integrative analysis, multi-task learning
HanI Chang Ajou AD
ali chang Advantech alzheimer
Timothy Chang University of California, Los Angeles Rare variant analyses, genetics, whole genome sequencing
Ze Chang huazhong university of science and technology diagnosis
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
wang chao North University of China Wl940414.+0
zhang chao Taiyuan University of Technology Alzheimer's disease
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 Fujian Medical University brain regions; Alzheimer's disease
Marianne Chapleau Douglas Research Center cognition, tau-PET, amyloid-PET
James Chapman UCL Machine Learning Neuroimaging Brain Behaviour Associations
Zachary Chappell Institute of Psychiatry, Psychology & Neuroscience, King's College London Diffusion MRI, multicompartment models, MCI, AD
Van Charon Tsinghua University Alzheimer
Evangelos Chartampilas AHEPA University Hospital Thessaloniki JadBIO Machine learning dementia
Christine Charvet Delaware State University Cortex
Danai Chasioti IUPUI polygenic, alzheimer's
Lina Chato University of Nevada, Las Vegas MRI brain images, T1, flair, T2
Abhinaba Chatterjee Weill Cornell Medical College Deep learning
PUBALI CHATTERJEE UNIVERSITY OF CALCUTTA Image Segmentation
Soumick Chatterjee Otto von Guericke University Magdeburg deep learning
Wing Fung Chau Cardiff University Big Data, lipids and metabolites
Madhav Chaudhary Coventry University Deep Neural Networks, Alzheimer's, Machine Learning, Data Science
Shefali Chaudhary Yale School of Medicine Alzheimer's disease, apathy, imaging
Muhammad Mutahar Chaudhry PIEAS Alzheimer Disease
Ganesh Chauhan Centre for Brain Research, Indian Institute of Science cerebral small vessel disease, genome wide association, vascular risk factors
Mohit Chauhan IIT Indore survey, literature
Laurent Chauvin Ecole de Technologie Superieure Local Features, Subject Identification
Shital Chavan SITS MRI,CT,AD,MCI
Caitlyn Chavez chapman university Deep Learning, ML Pipeline, Explainable AI
Stylianos Chazichronis National and Kapodistrian University of Athens Alzheimer's disease, Supervised learning, AD development
Tongtong Che Shandong Normal University group-wise registration
Aditya Chebrolu Brain Health Alliance PET, MRI, co-registration, image fusion
Gal Chechik Bar-Ilan University Deep learning
Lovena Chedumbarum Pillay University of Oxford MCI, AD, Predictive Analytics, Amyloid
Xiang Chen University of Leeds Image Registration, Deep learning
Ke CHEN University of Nottingham machine learning, early diagnose
GUILIAN CHEN SHENZHEN UNIVERSITY unsupervised segmentation
Jason Chen Bioclinica Testing algorithms
Ling Chen Zhejianglab Graph convolutional network
hongyu chen shanghai Nyuen fMIR, GCN
Shuo Chen National Innovation Institute of Defense Technology deep learing, super resolution, medical imaging
Shanshan Chen the Affiliated Brain Hospital of Nanjing Medical University, Nanjing Alzheimer's disease;Mild cognitive impairment;Subjective cognitive decline
hu chen Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch 3D convolution,saliency maps,
Xiao Chen Amy Medical University, Daping Hospital Amyloid PET, Alzheimer’s dementia, Amyloid staging
bowen chen Tongji University course project, deep learning, Alzheimer's disease
Tao Chen Wuhan University Alzheimer’s Disease, visual features, MRI
Jiu Chen Nanjing Medical University AD, aMCI, DTI, sMRI, fMRI
Xiao Chen Beijing Normal University Alzheimer’s disease,defalut mode network
qiang chen Donghua University segmentation
Xiaozheng Chen Xiamen University neuroimaging, dynamic functional connectivity, deep learning,
Zihao Chen Shanghai Jiao Tong University MCI AD predicting model
Yu-An Chen National Yang-Ming University Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Yujie Chen Wuhan University of Science and Technology Alzheimer's disease, Early diagnosis, Conversion prediction
Hao Chen Shandong University of Finance and Economics Brain Network Analysis, Alzheimer's disease, Classification
Xinqi Chen Guangdong University of Technology computer vision, generative adversarial networks, synthesis of medical images
Yu Chen Central South University Do some researches about the AD
Bocheng Chen huazhong university of science and technology graphic analysis, PET
Lin Chen Johns Hopkins University MRI, PET
Huimin Chen Beijing Tiantan Hospital, Capital medical university cognitive impariment, perivascular space, Abeta/tTau
Shuang-Qing Chen the Affiliated Suzhou Hospital of Nanjing Medical University Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning
Yingchuan Chen Beijing Tiantan Hospital PD, fMRI, machine learning
EDDIE CHEN Stony Brook machine learning, AI, MCI, AD
Huan Chen Johns Hopkins Bloomberg School of Public Health FDR control, variable selection
Keping Chen Southeast University AD; circular RNA
Chao Chen Stony Brook University Image analysis, deep learning.
jingyi chen nanchanghangkonguniversity MRI, brain segmentation
Xu Chen SAS Inc Machine Learning
wuyang chen Central South University multimodal,registration
Geng Chen Inception Institute of Artificial Intelligence hippocampus segmentation
Hao Chen Peking University gene expression, rs-fMRI, Functional Network, Integrative Analysis
durong chen shanxi medical university Parkinson
naijin chen Anhui Polytechnic University Medical image analysis
sijie chen Yitu healthcare technology AD, classification, CNN
tao chen south medical university 联合基金
Fang Chen jackson state university image deep learning Alzheimer's
Chang-Le Chen National Taiwan University College of Medicine Diffusion MRI, White matter, Fiber cross-section
wu chen Huazhong University of Science and Technology image processing
Mingzhu Chen Fudan University, Shanghai, China computer-aided medical image analysis, algorithm
Lihui Chen Sichuan University Academic study
Xi Chen University of Rochester Medical Center APOE
Lele Chen Nanjing University fmir, lifestyle, AD, Comorbidity, brain network
Yanghaoyu Chen UF Machine learning
changhao chen National Central University CNN SVM LR
Yuanyuan Chen Northwestern Polytechnical University Alzheimer’s disease; Mild cognitive impairment;Deep learning
Yihe Chen Second Affiliated Hospital,Zhejiang University School of Medicine perivascular space
Gianna Chen Shanghai Jiao Tong University none
Ziyi Chen Carnegie Mellon University Machine Learning coursework project
Fangzheng Chen Shanghai Jiaotong University School of Medicine Ruijin Hospital cognition AD
Bingzhen Chen University of Florida statistical modeling
Guan Wen Chen NTHU Alzheimer
William Chen MagQu LLC Longitudinal study, differentiate diagnosis, neurodegenerative diseases
SHAOBO CHEN Jinan University colorization;regions segmention;unsupervised learning
Keyu Chen Liaoning Normal University Resting state; dynamic; fMRI; Classification
YINGJIA CHEN Genentech safety
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Yiming Chen University of Maryland neural network
Qian Chen Nanjing Drum Tower Hospital Subjective memory complaint, Neuroimage, Biomarker
Jinxin Chen Chengdu University of TCM alzheimer,sleep disorders,fMRI
Yu-Jen Chen National Tsing Hua University Machine Learning, Disease Prediction
Hanyi Chen University College London subtype, disease progression, SuStaIn, AD
huachang chen Vanderbilt University Medical Center imputation; methodology; evaluation; bioinformatics
yulong chen zhengzhou university MRI hippo subfeild segmentation
Gengsheng Chen Washington University in St. Louis amyloid, gwas
Chang Chen Nanjing Drum Tower Hospital, Medical School of Nanjing University neurologist
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
HongGuai Chen NCU BDBC-2020
Li Chen Indiana University School of Medicine GWAS, functional analysis, meta-analysis
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Lin Chen Johns Hopkins University MRI, PET
Rong Chen University of Maryland School of Medicine machine learning
xiaotong Chen huashan hospital of fudan university Alzheimer's disease; biomarker; blood-based
Junjie Chen Temple University computational methods, integrative analysis, casual factors
Jinyang Chen University of Georgia Deep Learning, Machine Learning, Disease Diagnosis, Classification
Sherry Chen The University of Sydney Frontotemporal dementia, longitudinal, neural correlates, cognition
Zhi Chen University of Electronic Science and Technology of China computer vision, neuroimaging recognition, classification
Gavin Chen Tianjin University of Technology and Education czc960229
wenhong chen Jilin university Neuroimaging,Alzheimer's disease,Genes
Gang Chen Medical College of Wisconsin fMRI, MRI
Qiufeng Chen Fujian Agriculture and Forestry University/China functional connectivity
Tianhua Chen University of Huddersfield fuzzy systems, convolutional neural network, clinical decision support
Danni Chen UCLA deep learning, medical imaging, explainable AI, attention model
jiaao chen Queen's University research
HONGKAI CHEN Juntendo University Life1Dream
Gan Chen University of Louisville Hidden Markov Model, Disease Progression
Mingzhu Chen Fudan University, Shanghai, China computer-aided medical image analysis
yaru chen Jiangsu university Health analysis
Kefan Chen university of sydney Alzheimer's patients
Irene Chen MIT machine learning, subtypes, disease progression
Qingmeng Chen Tokyo Medical and Dental University DTI, 3D-T1, Multiple sclerosis
Ting-Huei Chen Laval University structural equation modeling
Liang Chen University of Macau miRNA, biomarker
Eric Chen Indiana University School of Medicine Tau, Braak regions, PET
saiyuan chen 重庆邮电大学 study
Siying Chen BUAA university study
kunxu chen Sun Yat-sen university study
Dingfan Chen max planck institute for informatics Anomaly detection, deep generative model
Xiaocong Chen The University of New South Wales Early Detection, Machine Learning
Baolin Chen Shanghai Uiversity of Finance and Economics functional data analysis, samples of density functions
minghao chen East China Normal University Causal Mediation analysis, MRI data,Alzheimer disease
Sophie Chen Beijing University of Technology fMRI classification
JIANGWANG CHEN SUNY BUFFALO MRI
Qianyun Chen The Chinese University of Hong Kong deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Xin Chen Shanghai East hospital, Tongji University, School of Medicine Neurodegeneration, Alzheimer,cognitive impairment
Battle Chen FZU multi-modal
Haifeng Chen Affiliated Drum Tower Hospital, Nanjing University Medical School memorry function; rTMS; multimodal neuroimaging
fangyi chen Hebei University of technology classification tasks
Yuzhong Chen UESTC CNN AD
junchao chen Beijing University of Astronautics cjc20011224
Siyi Chen U of MN GWAS
Xin Chen University of Nottingham Longitudinal image feature extraction; disease diagnosis.
liangming chen Lanzhou University neural network, deep learning, Alzheimer
jiacheng chen Zhejiang university of technology MR image super resolution
Yu-Chi Chen Monash University cortical morphology, machine learning
Li Chen University of Washington Image processing
Chen Zi Yang Chen Zi Yang Guangdong University of Technology ADNI ; GAN; image segmentation
Xiaoqin Cheng Zhongshan hospital inflammation
Xiangyi Cheng Summer STEM Institute Alzheimer's, Machine Learning, Disease Screening
YYUAN CHENG JILIN UNIVERCITY DATASET
XL Cheng XMU Image synthesis , Experiments , CGAN
Jiaqi Cheng University of Canterbury CNNs model interpretability
Feixiong Cheng Cleveland Clinic artificial intelligence (AI); radiogenomics; Alzheimer's genomics
Xiaoqin Cheng Zhongshan hospital machine learning
Ruida Cheng NIH brain segmentation and classification
Weili Cheng North China University of Water Resources and Electric Power Time-dependent ROC curves with missing biomarkers
WEI CHENG Southern University of science and technology machine learning
Iris Cheng Brown University Alzheimer's, sex, apoe, cognition
Greta Cheng NA ADNI dataset, classfication, 3D CNN
yongting cheng Washington University in St.Louis Segmentation; Diagnosis ;Deep Learning;VAEs-GAN
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
ZHI HSIN CHENG National Yunlin University of Science and Technology Alzheimer’s disease machine learning
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
wang chenyu zjut research
ibtissem cherfa université de Bejaia 01031950
Konstantin Chernukha Temple University Health System glymphatic pathway malfunction, dementia, screening
Anthony Chesebro Columbia University Network Model, Alzheimer's
Eva Cheung University of HK MRI PET AD MCI
Mark Cheung Carnegie Mellon University graph neural network, Spectral theory, neuroimage
Utkarsh Chhapekar Manipal Institute Of Technology Prediction, Alzheimers, Deep Learning
Jingyi Chi University of Pennsylvania Deep Learning, GAN, MRI
Gloria Chiang UCSF DTI
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 university Alzheimer
Nouha Chikhaoui ESPRIT Alzheimer
Geetha Soujanya Chilla A*STAR Segmentation
Sri sruthi Chilukuri San Jose state university Disease, outbreak, analysis , solution
Andrea Chincarini INFN longitudinal studies, MCI, network, atrophy measurements
Vernon Chinchilli Penn State College of Medicine GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS,
paneeth chinta Bangalore Institute Of Technology Alzheimers, CNN
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
Robert Chirwa Bluegrass College Machine Learning; Multi-omics; Alzheimer
Md. Main Oddin Chisty Khulna University of Engineering and Technology, Khulna, Bangladesh fMRI, Alzheimer, Lenet-5,vgg16, CNN, alexnet,
YOGITA CHITRIV Yeshwantrao Chavan College of Engineering, Nagpur Brain Image, Alzheimer, Segmenation, Classification
Sheng-Chieh Chiu The University of Alabama at Birmingham FreeSurfer segmentation
HyungJin Cho University of Southern California Alzheimer's Disease Neuroimaging Initiative (ADNI)
hyugrae cho samsung electronics AI, machine learning
Soo Hyun Cho Chonnam National University SNAP
Dong Ho Cho Korea Advanced Institute of Science and Technology (KAIST) Machine Learning, Biomarker, Classification, Diagnostic
Hyun Jae Cho University of Virginia knowlege extraction, machine learning, Alzheimer's disease
Sang Kyu Cho University of Houston - Houston, TX prognostic factors
Youngjoo Cho The University of Texas at El Paso Survival analysis, Prediction models
Sang Yeon Cho Medical School of Chungnam University Alzheimer’s disease, microglial phagocytosis
Hyuna Cho POSTECH brain connectivity
sang soo cho Seoul National University BrainAge, machine learning, OCD, Shizophrenia
Youngbok cho Daejeon University Alzheimer's Dementia, MRI, PET, Protein Folding
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
LEE CHOEL HUI Korea University Alzheimer's disease
Seo-Eun Choi University of Washington Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Jae Won Choi Armed Forces Yangju Hospital, South Korea MRI, deep learning, Image-to-image translation
James Choi Sabio Research Alzheimer Machine Learning Neural Networks
Kyu Sung Choi Korea Advanced Institute of Science and Technology (KAIST) follow-up
Yu Yong Choi Chosun University Hospital ethnic differences, normal aging
Bo Kyu Choi Yonsei university prediction model
juyeon choi kbri database, web, analysis
Uksu Choi Chosun University Cortical thickness, VBM
Sunghoon Choi Korea Research Institute of Standards and Science Generative adversarial network, synthetic PET
hyujin choi korea university hyunjin
Woo Hee Choi College of Medicine, The Catholic University of Korea striatum, amyloid PET, tau PET
Eun Young Choi Stanford University thalamus, rsfMRI
Tae-Min Choi KAIST Deep learning, classification, early diagnosis
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Yoon Seong Choi Severance Hospital, Yonsei University College of Medicine Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
Junghwan Choi . .
Junsik CHOI Korea Univ. Deep learning
Yong-Ho Choi hanyang university Imaging genetics
byung hyug choi KAIST / korea machine learning, network embeddings, Alzheimer feature extraction
duck ho choi Sung Kyun Kwan Univ. Alzheimer
Joyce Chong National University of Singapore Biomarkers statistical workshop
chee keong chong University Teknologi Petronas CNN, deep learning, classification,
Shin Wee Chong Carl-von-Ossietzky Universität Oldenburg Advance longitudinal modeling, structural equation, bidirectional relationship
Song Chongchong BUAA medical images processing
Jill Chotiyanonta AnatomyWorks, LLC Brain MRI, Neuroanatomy, Segmentation
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
zheping chou First affiliated hospital of Suzhou University multi-modal imaging markers cognitive decline.
SOURABH CHOUBEY Indraprastha Institute of Information Technology Delhi Detection, Machine Learning, Diagnosis
Amit Choudhari Tata Memorial Hospital dti
Aadarsh Choudhary Bengal College of Engineering and Technology, Durgapur Alzheimer's Disease
Supriyo Choudhury Institute of Neurosciences Kolkata teaching, learning, connectomics
Jeiran Choupan USC PVS
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Ioanna Chouvarda VTT network analysis, causality
Kwan-Yin Chow National Taiwan Normal University Dataset , Skull stripping
Anjan Chowdhury ISI-Kolkata functional connectivity, Alzheimer, Brain connectome
Samadrita Chowdhury University of Massachusetts,Lowell Graphs, CNN, PET, FMRI
linkon chowdhury East delta university GO_PEPTIDOGLYCAN_RECEPTOR_ACTIVITY
Luke Christenson Mayo Clinic Data, MRI, PET
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
Julia Christy Newcastle University neuroscince
Chu Yang Chu China Jiliang University Research, learning
Winston Chu University of Florida diffusion MRI, AD, free water, basal forebrain
Nan Chu National Central University/CWLab International brain image data bank, AI analytics, neurotechnology
Wang Chu Nanjing University of Science & Technology imaging data
Russ Chua Institute for Infocomm Research computer vision
Adichan Chuajinda Siriraj hospital Dementia risk
xu chuanbin shandong University of Science and Technology 1
jayrajsinh chudasama Birla Vishvakarma Mahavidyalaya dataset mri image with label
Evgeny Chumin Indiana University-Bloomington connectivity, tau, graph theory.
Min Young Chun Samsung Medical Center Alzheimer's disease
Ina Chun n/a CNN, visualization, deep learning
Timothy Chun Veteran's Affairs Machine Learning
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
Hyun Jy Chung Stony Brook University FWER
Julian Chung Nanyang Technological University Machine Learning
Yunro Chung Arizona State University Biostatistics; biomarker
Jaeyoon Chung Boston University School of Medicine GWAS CSVD stroke ICH
shi chunlei Beijing Normal University Machine Learing,Hidden information
Tang Chunyan The second affiliated of Chongqing Medical University tcy972626
jiang chunyu NEU jcyypbed627!
YJ CHYU Brain institue Thank you
Iacopo Ciampa Johannes Kepler Universität Linz AI, Alzheimer, Federated Learning, Deep Learning
Silvia Ciappelloni OnePoint Group images analysis AI deep learning
Andrea Ciarmiello Medicina Nucleare - S. Andrea Hospital Mci trajectory, Deep learning, onset prediction
Alessandro Cicerale Università degli Studi di Torino Hippocampus, ml
Filippo Ciceri Oryzon Genomics S.A. AD progression, PhIIa clinical study
Filippo Cieri Cleveland Clinic resting state; entropy; mci; cognitive reserve.
Ignacio CIfre URL fRMI, dFC, FC
Davide Cipollini University of Groningen AI, neuroimaging, Generative approach, data augmentation
Emilio Cipriano University of Pisa Graph Theory
Biji CL University of Kerala Machine learning , Deep learning
David Clark Indiana University Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency
Andrea Clark-Sevilla Johns Hopkins APL precision medicine, brain biomarkers
Jamie Clarke University of Miami CSF biomarkers, Alzheimer's disease, NPS, NCI
Tayla Clasper University of Auckland Alzheimer's disease, lifestyle, ageing, mild cognitive impairment
David Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Christoph Clement Inselspital Bern CNN, Deep Learning, AI, Saliency
Albert Clèrigues Universitat de Girona atrophy, pbvc
Isabelle Cleynen KU Leuven polygenic risk score
James Clifford college of san mateo Alzheimer's disease
David Clunie PixelMed Publishing and RadPharm, Inc DICOM compression
Bethany Coad Cardiff University Thalamus Amyloid
William Coath UCL (University College London) PET, amyloid, SUVR, Centiloid
Bernard Cobbinah University of Electronics Science and Technology of China Convolutional Neural Networks
Derin Cobia Brigham Young University Thalamus, clinical phenotype, AD, neuropsychology
Yann Cobigo Unversity of California San Francisco Dementia, Normal Aging
Leandro Coelho Pontifical Catholic University of Parana machine learning, fMRI, deep learning.
Mirthe Coenen UMC Utrecht, The Netherlands white matter hyperintensity, memory clinic patients, lesion symptom mapping
Hugo Cogo-Moreira Universidade Federal de Sao Paulo Dynamic structural Equation modeling, latent variable, multilevel analysis
Petrice Cogswell Mayo Clinic MRI, aging
Carl Cohen SUNY Downstate Medical Center Alzheimer's disease; cognition, course trajectory
Brett Cohen King's College London MCI, MRI, phantom
Isabelle Cohen The Potomac School AD, immune system, CSF
Cynthia Cohen California Southern University Alzheimers
Michael Colbus Liquid Biosciences Inc. Synapse, validation, insights
James Cole Imperial College London Aging, Machine learning, T1, DTI
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
Brian Collica University Of California, Berkeley Capstone
David Collier Eli Lilly and Company Ltd Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s
Fraser Collins Logicearth Services Alzheimer's Imaging
Arzu Coltekin University of Applied Sciences and Arts Northwestern Switzerland machine learning, deep learning, automated data analysis
Robert Comley Abbvie inc PET, MRI
Shan Cong Harbin Engineering University Structural MRI analysis, genetic analysis, multi-omics, AD
Lin Cong University of California, Riverside Modal regression
Lin Cong University of California, Riverside Modal regression
wamg congcong anhuidaxue Visual medicine
yin congfeng Tsinghua University experiment, deep learning models
William Connelly University of Tasmania machine learning, teaching excersise
Lindsay Conner University of Central Florida Adult Development and Aging; Healthy Aging; functional connectivity; structural
Joanne Conover University of Connecticut Aging, Alzheimer's disease, MRI, FLAIR-MRI
Nicholas Constant University of Rhode Island digital cognitive biomarkers
Maria Constantinou University of Cyprus MRI, resting state fMRI, deep learning
Cat Conti NCIRE admin core
Joey Contreras USC Keck School of Medicine Inflammation, conversion, APOEcarrier
Nick Cooper Technology company EEG
Michael Coopman University of Texas at Arlington Medical image registration, Image segmentation, Voxelmorph, Deep learning
Gianfilippo Coppola Yale University deep learning, AD subtypes
Devani Cordero Massachusetts General Hospital segmentation hippocampus
Aldo Cordova Palomera Takeda Neuroimaging, Genetics, Neurodegeneration
Ronal Coronado Biomedical Imaging Center, Pontificia Universidad Catolica de Chile Gridding artifacts
John Corradi Arvinas, Inc. CSF, biomarkers, proteostasis
Nicole Corso Stanford University default mode networks, networks, imaging
Constanza Cortes University of Alabama at Birmingham exercise, skeletal muscle, CNS aging, Alzheimer's Disease
Callum Cory University of Auckland Deep learning, brain network analysis, graph theory
Josh Cosman Abbvie Inc. Cognition, Modeling, Longitudinal Change
Beatrice Costa University College London r programming, neurodegeneration, workshop
Bruno Costa USP CNN
Ana Sofia Costa University Hospital RWTH Aachen amyloid deposition, microangiopathy, microbleeds, phenotype, progression
Antonio Costa Freire University of Warwick Alzheimers
Alejandro Costoya-Sánchez University of Santiago de Compostela Alzheimer's Disease, PET imaging, tau pathology, Flortaucipir
Victor Costumero Universitat de València mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard CNS-Fed Neuropsychology, Aging, Eye movements, Vision
Gillian Coughlan Baycrest Biomarkers, Alzheimer's disease, resting-state fMRI
Pierrick Coupé LaBRI UMR 5800 hippocampus
Matthieu Coupet XLIM Deep learning MRI
Megan Courtman University of Plymouth Parkinsons Disease, machine learning, AI, neural networks, MRI
Elizabeth Couser University of Maryland, Baltimore imaging, Alzheimer's
Oliver Cousins King's College London TREM2 CD33 genetic Alzheimer's risk factors.
Baptiste Couvy-Duchesne Institute of Molecular Bioscience Advanced brain aging, prediction, structural MRI
Hannah Cowley Johns Hopkins University Applied Physics Laboratory connectomics, precision medicine, data science
Timothy Cox CISRO Cognitive Composites, PACC, Disease trajectory
Kevin Coyle Florida State Univeristy Machine Learning Biomarker Nueral Network Early Identification Infomation.
Erin Craig Stanford University survival analysis, statistical methods
Breanna Crane Vanderbilt University Atrophy, Connectivity, MCI
Skyler Cranmer The Ohio State University functional connectivity, deep learning, exponential random graph models, LSM
Byron Creese King's College London polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
Samuel Crerar University of Hull deep learning analysis prediction
Carlos Crespo Methinks Software Deep learning
Maria Crespo arraste processing and MRI
Ariela Crestani Sao Jose do Rio Preto Medical School (FAMERP) lipid metabolism, protein modification, palmitoylation, metabolomics, lipidomics
Marta Criado Universidad Complutense de Madrid deep learning, investigation, prediction, networks
Ivor Cribben University of Alberta Networks; Longitudinal networks; Resting state
Alessandro Crimi University of Zurich radiogenomics
Alessandro Crimi Sano center for computational medicine snp, genomics, tractography
Alessandro Crimi Sano center for computational medicine snp, genomics, tractography
Alexandru Cristiean University of Sussex bachelors
Greg Cron The Ottawa Hospital perfusion, ASL, DCE, DSC, MRI
Philip Crooke Vanderbilt University A-to-I editing, inflammation, biomarkers
Carlos Cruchaga Washington University School of Medicine CSF, plasma, RBM, GWAS, whole-genome
Erica Cruz Old Dominion University Machine Learning, Deep Learning, Alzheimers Disease
Heloiza Cruz PUC MINAS alzheimer's
Hugo Cruz-Suárez Benemérita Universidad Autónoma de Puebla Big Data, Hidden Markov Models, Stochastic optimization
Josephine Cruzat Universitat Pompeu Fabra Alzheimer; timescale; whole-brain modeling
Jing Cui GSK endophenotype GWAS, subtype AD
Wenxuan Cui University of Nottingham MCI, MRI, Machine Learning
xiaonan cui hangzhou dianzi university one class classification
JIANAN CUI Massachusetts General Hospital medical image processing
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
kunpeng cui ZhengzhouUnivercity medical image registration
Licong Cui The University of Texas Health Science Center at Houston Informatics tool, ontology, hypothesis generation
Dong cui 1978 cd_ggh100200
Tolga Cukur Bilkent University Learning-based registration
Kamryn Cullen George Mason University Biomarkers, Data Analytics, Health Factors
Nicholas Cullen Lund University plasma
Irene Cumplido Mayoral BarcelonaBeta Brain Research Center amyloid, machine learning, prediction, classification
Charles Cunningham University of Toronto 13C lactate ANLS
Geoff Currie Charles Sturt University artificial neural network, machine learning
Sean Curtin IAM Alzheimers vs. Healthy Brain Research
David Curtis UCL sequence variant DNA
Daniel Cutter University of Birmingham CNN, conv net, convolutional neural network
Renjith CV JSPM RSCOE deep learning
Max Cynader University of British Columbia Alzheimer's Disease, machine learning, cognitive impairment risk
Esha Cyril Pioneer Academics highschooler, neural networks, ADNI data
Alexis Czippel University of Victoria Superagers, superaging, functional connectivity
Per Steffen Czolbe University of Copanhagen Medical Image Registration
ty d Shanghai Maritime University fMRI
Saai Sudarsanan D SASTRA Deemed to be University, Thanjavur Data Analytics, CNN Algorithms, Machine Learning, GatesNotes
VIJAYANAND D NANYANG TECHNOLOGICAL UNIVERSITY TDA
SRUTHI D S TKM College of Engineering Kollam multi-modality diagnosis
Federico D'Agata University of Turin hippocampus; machine learning
Giovanni D'Ambrosio University of Guelph Impact, MRI,
Bendan Da Beijing University of Technology Alzheimer's Disease
Anuschka da Silva Spinola University of Coimbra machine learning, prediction models, biomarkers, Alzheimer's disease
Baik Da young Hankuk University of Foreign Studies medical image analysis with deep learning
Sanaz Dabiri Howard University Alpha-synuclein, inflammation, tau, AD
Zhang dachuan FUDAN UNIVERSITY study
Michael Dada Federal University of Technology, Minna, Nigeria Machine learning, MRI, ANN
Mahsa Dadar McGill University small vessel disease, white matter hyperintensities
Mahed Dadgostar MISP_mui fmri nifti
Kamalaker Dadi INRIA fMRI
Anant Dadu UIUC Machine Learning, Predictive Modeling, Alzheimer's Disease, Progression
Jeffrey Dage Eli Lilly and Company Biomarkers
Dale Dagenbach Wake Forest University functional connectivity, hubs, AD
Joseph Dagher The MITRE Corporation T1w, MRI, identification, biometrics
Mathieu DAGREOU ENS Paris-Saclay Disease progression score, Biomarkers, Alzheimer's disease, statistical model
yousra dahdouh fst image medical,biomarquer
Robert Dahnke University Aarhus gyrification
Yichao Dai Shanghai Maritime University FMRI deep learning network
Peng Dai Ryerson University deep learning, LSTM, explainable AI
Zhengjia Dai Sun Yat-sen University Alzheimer's disease; functional connectivity; structural connectivity
Haixing Dai University of Georgia NAS PET
Zongyu Dai University of Pennsylvania Missing data imputation
Xiangwei Dai Beijing Normal University amyloid deposition, grey matter
Ke xuan Dai Communication University Of ZheJiang Dynamic Brain Connectivity Preprocessing
yulin dai University of Texas health science center at Houston GWAS, CSF tau concentration, AD
Zhengjia Dai Sun Yat-sen University Alzheimer's disease; functional connectivity; model
Xi Dai Renmin University of China 111
tomomi daigo Nara Institute of Science and Technology medical image synthesis
Ryo Dairiki Eisai Co., Ltd. MCI-to-AD-conversion
Hiromitsu Daisaki Gunma Prefectural College of Health Sciences Deep learning AI PET
HARSH DALAI NIT RAIPUR ADNI
Josue Luiz Dalboni da Rocha Univeristy of Geneva DTI, freesurfer, parahippocampal gyrus, AD, MCI
Adrian Dalca Massachusetts Institute of Technology medical image analysis, genetics, DREAM challenge
Anders Dale University of California, San Diego image analysis, statistics, test and validate
Pablo Damasceno UCSF neurodegeneration; brain atrophy; neuropathology
stefano damiani The Royal Hospital Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Haleh Damirchi Amirkabir university of technology Neuroscience, machine learning, Statistics
Jessica Damoiseaux Wayne State University functional connectivity, hippocampus, cognition
hong dan xiamen study adni
hong dan xiamen study adni
jiajun dang qiqihaerdaxue 数据
huy dang Penn State University functional data, spiky data, function estimation
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Anton Danker Royal Institute of Technology Alzheimers Dementia Vascular Dementia Transfer Learning
Dominic Danks University of Birmingham Dimensionality Reduction; Pseudotime; Biomarker modelling; Disease progression
Garrison Danley Mass General mri, motion, artifacts
Christian Dansereau Perceiv Research, Inc. Biomarker, progressors prediction, cognitive decline
Hákon Dansson Chalmers University of Technology AI, Machine learning, β-amyloid, plaques
Zhang Daoan Southern University of Science and Technology GNN, CNN
GOWHAR DAR LOVELY PROFESSIONAL UNIVERSITY PUNJAB CNN,DEEP LEARNING,AUTOMATED
SUHAIL AHMAD DAR Aligarh Muslim University Alzheimer's, MCI, Deep Learning , Diagnosis
Rayees Dar Islamic University of Science and Technology CNN, Deep Learning, Artificial Intelligence, Medical Imaging
Sumanth Dara University of California Riversid MRI, Substantia Nigra, Locus Coeruleus, Machine Learning
Sajad Darabi University of California, Los Angeles Machine Learning, Heterogeinity, Clustering
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
Oscar Darias Plasencia Universidad Internacional de La Rioja Alzheimer, machine learning, artificial intelligence
Caroline Dartora PUCRS Brain Connectivity, Alzheimer's Disease, MRI, PET
Erfan Darzidehkalani UMCG Medical , deep learning, GANs
Ayantika Das HTIC,IITM Classification of brain MRI
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Debarpan Das University of Alberta Registration
Priya Das Kalinga Institute of Industrial Technology biomarker, machine learning, MRI, AD
eashita das Dr. Eashita Das data mining, analysis
Sandhitsu Das University of Pennsylvania hippocampus MCI
Priya Das Kalinga Institute of Industrial Technology biomarker, machine learning, MRI, AD
Srihitha Dasari iResearch Institute Alzheimer's disease, gray matter, white matter, hippocampal volumetry, MRI
Aishee Dasgupta Chennai mathematical Institute TDA
Suryansu Dash College of Engineering and Technology, Bhubaneswar Dementia Classification, Deep Learning, detection of onset
Ashkan Dashtban University College London Brain Imaging, Cognitive Impairment
Adam Datta SWPS University of Social Sciences and Humanities convolutional neural network, image identification, MRI, Alzheimer’s Disease
Rohan Datta Army Institute of Technology deep learning, fMRI, CNN
Prasun Datta Bangladesh University of Engineering & Technology Brain MRI Scan
Aigerim Dautkulova Clarmont Auvergne University subcortical
Deana Davalos Colorado State University TBI, biomarkers, dementia, pathological aging
Christos Davatzikos University of Pennsylvania classification, MCI, conversion to AD
Pranjal Dave Ryerson University Deep Learning, Computer Vision
Alice Davies University of Birmingham neuroimaging, dementia, machine learning
Cintia Davila Rodriguez Illinois Institute of Technology deep learning classification
Wade Davis FAU MTL, EMCI
Ragavamsi Davuluri Gudlavalleru Engineering College Alzheimer
Eran Dayan University of North Carolina at Chapel Hill resting state, connectivity, machine learning
Chaitra Dayananda Chosun University AD
wang dayu henan university greduate student reaserch
Arijit De Jadavpur University classification; prediction; alzheimer's
Bianca De Blasi Ixico Medical imaging analysis, Biomarkers
Renske de Boer Quantib B.V. evaluation, segmentation
Marleen de Bruijne Erasmus Medical Center image analysis
Alex de Crespigny Genentech Inc training, teaching
Manlio De Domenico Universitat Rovira i Virgili Multilayer networks
Robin de Flores University of Pennsylvania MTL tau atrophy AD
Johann de Jong UCB patient stratification, disease progression
jose miguel de la casa deloitte machine learning , neuronal network cnn
Raelynn de la Cruz Cleveland Clinic Nevada dementia, Alzheimer's, hippocampus, aggression
Angel de la Vega Jimenez University of Granada Deep learning, CNN, Alzheimer disease
Siemon de Lange University Medical Center Utrecht connectome, structural connectivity, Alzheimer, MCI
Alberto De Luca UMC Utrecht diffusion MRI, connectivity
Ashley De Luna University of California, Merced classification, neural networks
Amy De Lury Stony Brook University Alzheimer's Disease, MCI, MRI, cortical thickness, subcortical volumes
Matteo De Marco University of Sheffield Alzheimer's disease, mild cognitive impairment, resting state
PEDRO MANUEL RODRIGUES DE MOURA UFG Data Science
Fernando de Natali Frascá Universidade Federal de São Carlos - UFSCar segmentation, medical images
Pedro Renato De Paula Brandão UNIVERSITY of Brasília Parkinson, dementia, MRI, DTI
MAURIZIO DE PITTA BASQUE CENTER FOR APPLIED MATHEMATICS biomarkers, neuron-glial, astrocytes, inflammation, ROS, transcription factors
Itziar de Rojas Fundació ACE sTREM2
Micol de Ruvo Philyra UG Parkinson's, olfaction, machine learning
Lisa Anita De Santi Università di Pisa Deep Learning, CNN, XAI
Susan De Santi Eisai Normal controls, Mild Cognitive impariment, biomarkers, cognition
Maxim De Schaepdryver KU Leuven Biomarker course
Senuri De Silva University of Moratuwa machine learning MRI fMRI PET
Eric de Silva University College London polygenic risk scores; cardiovascular disease
Maria Stefania De Simone IRCCS Santa Lucia Foundation Mild cognitive impairment; Memory; Voxel-based morphometry; Longitudinal study
Paul De Sousa Massive Analytic data science machine learning, neurodegenerative diseases, blood biomarkers
Edson de Sousa Silva IESB Machine Learning Biomarkers Artificial Intelligence Deep Learning
Wieske de Swart Radboud University cognitive decline, survival analysis, clinical data, machine learnin
Wieske de Swart Radboud University Nijmegen Alzheimer's disease, deep learning, multi-modality, incomplete data
Javier De Velasco Oriol Instituto Tecnologico y De Estudios Superiores de Monterrey Machine Learning, Deep learning, Genomics
Rashid Deane University of Rochester Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
Alison Deatsch University of Wisconsin - Madison FDG PET, deep learning, CNN, diagnosis, biomarker
Tanmay Debnath PDPM IIITDMJ bioinformatics, artificial intelligence
Charles DeCarli University of California at Davis MRI, cerebrovascular disease
Summer Decker University of South Florida Morsani College of Medicine morphometrics
Berina Dedovic Faculty of Electrical Engineering University of Sarajevo dataset; alzheimer; eeg
Ana Defendini University of Pennsylvania Imaging
samuella degbey Altran image processing brain pathology
Hamed Dehghani Neuroimaging and Analysis Group (NIAG) machin learning, agnig, cognitive impairement
Farzaneh Dehghani University of Esfahan Alzheimer's disease, deep learning
PRIYANUJ DEHINGIA ASSAM ENGINEERING COLLEGE Alzheimer's, Deep Learning
Amir Dehsarvi University of Aberdeen biomarkers
Casval Deikum Chinese Academy of Science slurm test
NILAM DEKA ASSAM ENGINEERING COLLEGE ALZHEIMERS DATASET
Vishal Narayan Deka National Institute of Technology, Silchar Deep Learning, Medical Imaging, Early Detection of AD
Martina Del Giovane Imperial College London dMRI, dementia, neuropsychiatric, neurodegeneration
Motahare Delbari Tubingen university neuroscience
Andrea Dell Orco Charite Berlin wmh
Stefano Delli Pizzi Univesity of Chieti-Pescara Alzheimer's Disease, Biomarkers
Antoine Delmas Syneika transcranial magnetic resonance target
Olivier Delrieu SAS FifteenKay Consulting, C4X Discovery Ltd
zeynep demir University of California San Francisco ADNI
Beatrice Demiray Technical University Munich, Germany Deep Learning; Neural Networks; Detection; Segmentation; Multi-Modal
Harriet Demnitz-King University College London Biomarker statistics
lingling dend CSU 2d REHO AD functional activity
Simin Deng Tungwah Hospital of Sun Yat-Sen University Subjective cognitive decline
Tian Deng Sun yat sen university artificial intelligence,Medical image processing
Shiling Deng Chongqing University of Posts and Telecommunications undergraduate thesis, academic usage
mujiang deng Beijing University of Aeronautics And Astronautics deep learning model
Simin Deng Southern Medical University SMC NC
Ianien deng Beijing University of Aeronautics And Astronautics dmj66622
Zhenhong Deng Sun Yat-Sen memorial hospital, Sun Yat-Sen University Dementia; mild cognitive impairment; single nucleotide polymorphism; prognosis;
Yu Deng Kings College London Medical Image Analysis; Domain Adaptation; Deep Learning
Jinxian Deng MSU AI, model
ZhengZheng Deng Shanghai Brain Science and Brain-Inspired Intellegence data-mining, big data, Alzheimer's disease
Simin Deng Southern Medical University SMC NC
Xinling Deng Tongji University Deep learning, the diagnosis of Alzheimer's disease
Yatsen Deng Harbin Institute of Technology AD hippocampus morphological changes
Rezwan Derakshan urmia university data mining
Huseyin Derbent University of South-Eastern Norway Deep Learning, Convolutional Neural Networks, Alzheimer's Disease, Classifcation
Mustafa Dere UNCG deep learning
Natan Derek Southern Taiwan University of Science and Technology FMRI, DEEP LEARNING
amine derra hassiba ben bouli AI
Shekha Desai Vishwakarma Government engineering college Early detection of AD, ML approach for AD diagnosis
juhi desai In-Med Prognostics volumetric
pranav desai scet machine learning
Marie Deserno University of Amsterdam autism, neurodegenerative disorders
Aditi Deshpande Aditi Deshpande cerebral vasculature, time of flight
Akshay Deshpande University of Queensland machine learning, artificial intelligence, healthcare
Antoine Désilets Université de Sherbrooke GPR3, GPCR
Anita DeStefano Boston University Alzheimer, genetics, association
Meng Detao Beijing Rehabilitation Medical College, Capital Medical University, Beijing, Chi Parkinson's disease; activity of daily living
Vivek Devadas Banner Alzheimer's Institute Kewei Chen
Gabriel Devenyi Douglas University Mental Health Institute, McGill University MRI
uma devi bharathiyar University PET image
Denise Dewald University Hospitals Cleveland Medical Center sleep apnea, soft palate, tongue position
ding dewen Chongqing University Of Posts And Telecommunications adni
Blake Dewey Johns Hopkins University mri, ct, synthesis
Sanjoy Dey IBM Research AI
Debojyoti Dey Personal ML based explorations
Saumil Dhankar Independent voluntary research for IEEE BDBC 2020 challenge Diagnosis, Symptoms, Assessment, Cognitive, Demographics, Imaging, MR
Shravan Dhar UVCE Alzheimer
Moyez Dharsee Ontario Cancer Biomarker Network integration, analysis
Priya Dharshini P. A. C. E. T Adni database
Sriram Dharwada Indian Institute of Information Technology, Nagpur Deep Learning model using CNN and LSTM
Andrew Dhawan Cleveland Clinic SNP, CSF biomarker, Imaging correlate
eric dhillon univ of toronto MRI volumetric analysis regional cortical white matter
Shivani Dhiman University of Delhi Early Detection
Radman Dhrubo Bangladesh University of Professionals Machine Learning, SVM, KNN, NN.
Xiong dhui WHU Segmentation
Hao Di XJTU Result repeat
Xin Di University of medicine and dentistry of new jersey connectivity, pet
Francesco Di Lorenzo University of Sussex AD, functional conncectivity, ApoE, computational model, disease progression
yang diandian AnHui University GCN, PET, sMRI
Alisha Dias St. Francis Institute of Technology Detection, Stage, Alzhiemers
Maria de Fátima Dias University of Coimbra Ageing, Deep Learning, Regression
Mauricio Diaz Inria AD, Deep Learning
Jose David Diaz Roman Universidad Autonoma de Ciudad Juarez Deep learning, transfer learning, Alzheimer classification,
Mehdi Diba Shahrood University of Technology ADNI data analysis,deep learning
Stefano Diciotti University of Bologna texture analysis, fractal analisys, machine leaning, MRI
Bradford Dickerson Massachusetts General Hospital MRI, PET, cortical thickness, MCI, AD
Philip Dickinson McGill University resting state, connectome wide association
Chen Die Zhejiang Gongshang University Zhejiang Gongshang University,analyze the paper
Kersten Diers German Center for Neurodegenerative Diseases quality control; statistical modeling
Louis Dieumegarde IUSMQ Database
Ibai Diez Massachusetts General Hospital AD, fmri, DTI, PET
Rebecca DiGati American College of Radiology CRI Flortaucipir, AV1451, Tau, Florbetapir, AV45, PET, Amyloid
Allison Dillon Genentech dictionary
Konstantina Dimaki Wentworth Institute of Technology Alzheimer's disease, prediction
Georgios Marios Dimakidis Ionian University Bioinformatics, Data Analytics, AD
Yanyi Ding Carnegie Mellon University Machine Learning
Jiayuan Ding VMware, Inc Machine Learnrinig
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Chen Ding Shenzhen Institutes of Advanced Technology Chinese Academy of Science brain image
zichen ding Weifang Medical University Longitudinal data, cross-sectional data, genetic data, causal inference, machine
Shaodong Ding Beihang University domain adaptation
Changchang Ding Shanghai University PET;FMRI
jie Ding Nanjing Tech University ADNI data
Ke Ding 东华大学 ADNI、MRI
Xiuhua Ding Western Kentucky University sleep Apnea, APOE, Amyloid-beta
yuhang Ding baidu download and study
Yuan Ding New York University For Course Project
Ke Ding 东华大学 Biospecimens、MRI、PET、Genetic
Chen Ding Shenzhen Institutes of Advanced Technology Chinese Academy of Science brain image
Ivo Dinov UCLA Alzheimer's disease, statistics, shape
Nicola Dinsdale University of Oxford hippocampus machine learning
ALIOU DIOP Gaston Berger University censored data; survival analysis, functional data analysis
Tyler Diorio Purdue University white matter hyperintensity, periventricular, stress
Ibrahima Diouf University of Melbourne Alzheimer's, amyloid pathology, Tau, cell adhesion molecules
Maheshi Dissanayake University of Peradeniya Alzheimer , MRI
sai smruthi diwakar SASTRA UNIVERSITY Final year project on prediction of alzheimer's
anoop dixit Collective Cure Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec
Sudhanshu Dixit Jaypee Institute Of Information And Technology Use ADNI dataset for College Project
Khethiwe Dlamini University of the Free State R, Python, unsupervised learning, MRI, PET, big data
anoop dobhal PEC Deemed to be Univerisity India DL, ML, CNN
Iwona Dobler Takeda Pharmaceuticals International Co. biomarker
Vitaly Dobromyslin University of Massachussetts, Lowell gene expression, neuroimaging
Shruti Dodani Dwarkadas J Sanghvi College of Engineering Deep learning; Convolutional Neural Network; Alzheimer's disease.
Chris Dodds University of Exeter Education
Alessandra Dodich University of Geneva 18F-flortaucipir, positivity, tau deposition
James Doecke CSIRO CSF, Amyloid, PET
Elena Doering University Hospital Cologne education, metabolic activity, aging
Merve Yusra Dogan Istanbul Medipol University functional connectivity, neuropsychological test, fMRI, big data
Prashant Dogra Houston Methodist Research Institute Alzheimer, biomarker, modeling
Oriol Dols-Icardo Sant Pau biomedical research institute Genomics, MRI
Sudipto Dolui University of Pennsylvania Arterial Spin Labeling, Cerebral Blood Flow
Elena Dominguez University of California, Irvine Cingulate Cortex, Cortical Thickness, Cognition
Frank Dondelinger Lancaster University lasso, prediction
Ning Dong TEXAS tech university Alzheimer's Disease, Mild Cognitive Impairment, Machine Learning
qian dong chongqing university of posts and telecomunications ADNI
Wei Dong China National Clinical Research Center for Neurological Diseases AD, genetics, autophagy, biomarkers, clinical characteristics
YIWEN DONG UCSF building database
Huiwen Dong Beijing Jiaotong University precision medicine, fmri, smri, GNN, deeplearning
Qunxi Dong Arizona State University Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry
Jian Dong Harvard Medical School PET, molecular imaging, amyloid, tau, machine learning, neural network.
Zihe Dong IMPERIAL COLLEGE LONDON dzh880125
Fan Dong Indoc Research data platform, imaging processing, neuroinformatics
Qunxi Dong Beijing Institute of Technology Alzheimer's disease, MRI, Morphometry, Biomarkers.
Zihe Dong Beijing University Of Aeronautics And Astronautics dzh880125
wang dong Shandong Normal University radiomics
shuai dong Northeastern University MRI depression
JANG DONGGON KAIST Deeplearning
Luo Dongxia Sichuan University 19950913
Anita Donnelly Ulster university Machine Learning, Data Modelling
Michael Donohue Keck School of Medicine of USC ADCS
Mariya Donskova Moscow Institute of Physics and Technology and Skolkovo institute of science and Disease Knowledge Transfer, Neurodegenerative Diseases
Sai Narsi Reddy Donthi Reddy Individual computer vision, machine leanring
Sai Narsi Reddy Donthi Reddy Individual/ Researcher computer vision, machine leanring, Deep Learning
elahe dorani Institute for Advanced Studies in Basic Sciences (IASBS) Probabilistic models, Bayesian inference, Alzheimer's disease, ADNI dataset
Fernanda Caroline Dos Santos Centre for Addiction and Mental Health Alzheimer's disease; Depression; Mild cognitive impairment; neuroimaging; PRS
Jonadab dos Santos Silva Universidade Federal Fluminense structural MRI, genomics, neurodegeneration
Ayush Doshi University of Virginia Spherical deconvolution, 3-tissue extraction, Deep learning
Kaixin Dou Affiliated hospital of Qingdao University AD; risk models; predictors
Kaixin Dou Affiliated hospital of Qingdao University AD; risk models; predictors
Kaixin Dou Affiliated hospital of Qingdao University Alzheimer's disease; GWAS; biomarker
Kaixin Dou Affiliated hospital of Qingdao University AD; risk models; predictors
Gaelle Doucet Icahn School of Medicine At Mount Sinai resting-state networks, brain atlas, aging
Guilherme Dourado Santos Universidade de São Paulo Machine Learning, USP, SSL
N. Maritza Dowling University of Wisconsin-Madison Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Senan Doyle Pixyl PET, MRI, AI, Deep Learning
Sorin Draghici Advaita meta-analysis, data integration, subtype discovery
Andrei Dragomir Politehnica Bucharest University Ask and I can provide further details
Derek Drake Harvard University AD
Jonathan Drake Alpert Medicial School of Brown University VCAM-1, vascular risk factors
Daniel Drake University of Michigan biomarkers biostatistics progression
Amil Dravid Northwestern University Machine Learning, Computer Vision
Erin Drazich University of Sussex DTI, MCI, AD
Eduard Drima Universitatea Dunărea de Jos, Galați, Romania, UE mTBI, mild cognitive impairment
Jason Druzgal University of Virginia Basal forebrain; cognitive impairment; VBM
Polina Druzhinina Skoltech 3D CNN, classification
NANDANU DS COLLEGE OF ENGINEERING TRIVANDRUM EARLY DIAGNOSIS OF AD USING NEURO IMAGING DATA
Qianqian Du Taiyuan University of Technology pet image reconstruction
mingyu du Beihang University 912811450
Shiyi Du 四川大学 student research Alzheimer
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
YU DU Faculty of Science and Technology, University of Macau Alzheimer's disease, deep learning, segmentation
yongqi du Huazhong University of Science and Technology deeplearning classification fMRI
Shiyi Du Sichuan University Alzheimer,TADPOLE,student research,anomaly detection
Averil DU ShanXi Medical University Aa123456
Yuhui Du The Mind Research Network; Shanxi University Biomarkers, Classification, Clustering
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Xiuxia Du UNC-Charlotte batch effect correction
Xiuli Du Nanjing Normal University Functional data analysis, Missing data
Zhichao Duan Tsinghua University Machine learning
Kaue Duarte University of Campinas alzheimers, artificial intelligence, image retrieval
Paromita Dubey UC Davis networks
florian dubost Erasmus MC enlarged perivascular spaces, deep learning, neural networks
Marie Duc Tuebingen University Hospital explainable AI in brain
Simon Duchesne Université Laval MRI, phenotypes, cortical thickness, genotype
Simon Duchesne True Positive Medical Devices Inc. Biomarkers; Volumetry; Normative data
Shruti Santosh Dudwadkar The University of Sheffield Alzheimer's diagnosis, Deep Polynomial Network
Kevin Duff University of Utah biological samples
Ben Duffy USC QC
Maya Duffy University of South Carolina Project, Statistics
Benoit Dufumier Université Paris-Saclay PhD project, Transfer Learning in NeuroImaging, MICCAI 2021
Adam Dugan University of Kentucky statistics; Alzheimer's disease; CSF
Brittany Dugger UC-Davis Neuropathology, Heterogeneity, concomitant pathology
Juergen Dukart Hoffmann-La Roche PET MRI biomarkers diagnostic models
Adrienne Dula Dell Medical School at the University of Texas Austin Alzheimer’s disease, cerebrovascular flow, sex
Maciej Dulewicz Medical University of Białystok, Poland AD
AMAR DUM Shivaji University, Maharashtra (India) Alzheimer's Disease, MRI, PET, Early Diagnosis
Felix Dumais Université de Sherbrooke AI, arteries, vascular
Julie Dumas University of Vermont tau, csf, hippocampus, biomarkers, MCI
Logan Dumitrescu Vanderbilt University Medical Center Alzheimer's, genetics
Mihai Dumitrescu University Politehnica of Bucharest Homework
Matthieu Dumont Imeka DWI DTI HARDI Tracking
Julien Dumurgier Université de Paris CSF biomarkers ; cut-offs
Julien Dumurgier Lariboisiere Fernand Widal Hospital APOE, AD, CSF biomarkers
Tora Dunås University of Gothenburg Biomarker statistics workshop
Katherine Duncan University of Toronto Acetylcholine, Dopamine, Norepinephrine, Memory, Cognition
Chase Duncan UIUC biomedical image segmentation; machine learning; hippocampus segmentation
Mehmet Sait Dündar Abdullah Gul University deep learning, MRI, PET, dementia, alzheimer disease
Michelle Dunk University of Wisconsin - Milwaukee Cholesterol, APOE, amyloid-beta, tau, oxysterols, Alzheimer's disease
Natalie Dunn Prisma Health; SNIRP Anxiety
Michael Duong University of Pennsylvania Alzheimer disease, AT(N), PET, neuroimaging
Patrick Dupont KU Leuven graph; rs-fMRI; cognition
Tom Dupree Springboard Machine learning, data analysis, predictive classification model
Saranya Duraisamy Biogen research & development, data analysis
Emre Durmaz TOBB ETU alzheimer, image processing, brain image, mri , bt
Oscar Durón UNAM school, project
Goktekin Durusoy Bogazici University Graph analysis, tensor decompositions,Connectome
ARIDEEP DUTTA Jabalpur Engineering College AD-alzheimer's diseases
Chiranjit Dutta University of Connecticut Longitudinal data analysis
Anirban Dutta University at Buffalo SUNY Non-invasive brain stimulation
Joyita Dutta UMass Lowell / MGH Data science, machine learning
Shamita Dutta gupta Pace U Ordinal logit model, general linear model
Jeff Duyn NIH fMRI global signal
Jeff Duyn NIH fMRI global signal
Madhukar Dwivedi International Institute of Information Technology, Hyderabad Alzheimer disease, MCI,
Alok Dwivedi Texas Tech University Health Sciences Center El Paso Amyloid positive, MRI, CSF biomarkers, ABETA42
Shubham Dwivedi National Institute of Technology Silchar Alzheimer, Brain, Daignosis
Jonathan Dyke Weill Cornell Medicine cortical thickness
Martin Dyrba German Center for Neurodegenerative Diseases (DZNE) probabilistic models, multimodal analysis, machine learning, Markov random field
Witold Dyrka Wroclaw University of Science and Technology MRI, PET, computer-aided analysis, image segmentation, neural network, python
Szymon Dziewic AGH MRI image analysis, neural network
Georgina Earle University of Birmingham Alzheimer's Disease, deep learning, imaging
Thomas Earnest Washington University Alzheimer's, machine learning, data science
Mark Ebbert Mayo Clinic Challenging regions
Esraa Ebrahem Higher technological institute AD
Doaa Ebrahiem Mansoura University alzheimer
Amir Ebrahimighahnavieh University of Newcastle Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Holly Echlin York University sub-concussive, mild traumatic brain injury, aging, neuroimaging
Christopher Edgar Cogstate cognition, at-home, feasibility, validity, reliability
Paul Edison Imperial College London tau amyloid cardiovascular risk
Emily Edmonds University of California, San Diego Mild cognitive impairment; Neuropsychology
ANTOINE D EDOUARD Harvard University MCY&ALzheimer
Natalie Edwards Massachusetts General Hospital sex, tau, flortaucipir, positron emission tomography, longitudinal
Amr Eed Instituto de neurociencias de alicante Machine Learning, multi-shell models
Efe Dogukan Efeoglu Middle East Technical University mathematical statistics, image processing, neuroscience
Marco Egle University of Cambridge Small vessel disease Diffusion tensor imaging clinical trials
sina ehsani mashhad university of medical science dti
hosein ehsanmanesh ferdowsi university Alzheimer’s Disease Neuroimaging Initiative database
Eyþór Einarsson Haskoli Islands Deep Learning, Brain Age, Machine Learning, MRI
Gillian Einstein University of Toronto Surgical menopause; oxidative stress; cognitive decline; neurodegeneration
Noushin Ejtehadi Iran University of Science and Technology DTI
Putu Ayuwidia Ekaputri University of Skövde FDG PET, MRI, atrophy, hypometabolism
Laura Ekblad Amsterdam UMC CSF, proteomics, atrophy, cortical thickness, MCI, Alzheimer
Chima Eke University of Plymouth Biomarkers, data analysis, machine learning, deep learning
ferhat ekin ankara yıldırım beyazıt university stalker
Tawatchai Ekjeen Faculty of Medical Technology Maching Learning, PET, Alzheimer's Disease
Anders Eklund Linköping university Deep learning, multi modality, fMRI, dMRI, convolutional neural network
Nsisong Ekong RITMAN UNIVERSITY, IKOT EKPENE, AKWA IBOM STATE ALZHEIMER'S DISEASE, CLINICAL TRIALS, STOCHASTIC ANALYSIS
Ender Eksioglu Istanbul Technical University MR reconstruction, undersampled k-space data, sparsity based MR reconstruction
Karen El Akoury Holy spirit university of kaslik Alzheimer,EEG,Music Treatment
Omar El Rifai - CLINICA
Retta El Sayed Emory University Medical imaging processing
Shaker El-Sappagh Inha University Deep learning, machine learning, progression detection
fanny elahi UCSF Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
vidhya elango periyar university cryptography
Ghaidaa Eldeeb faculty of engineering cairo univeristy DTI
elfazziki elfazziki Marrakech university, computer science department alzheimer, diagnosis, machine learning
m elgeneedy mansoura university كل اسبوع يوم جمعه
Martin Elias Costa Entelai Brain atrophy, aging, MRI,
Ahmed Elkorany faculty of electronic engineering, menoufia university deeplinearning; classification, MRI
Nandhini Ellappan MGR University Dashboard
Lotta Ellingsen University of Iceland segmentation, deep learning, brainstem, white matter hyperintensities, dementia
Maxwell Elliott Duke University Aging, methylation, ADRD, neurodegeneration
Ryan Ellis NCIRE arterial spin labeling, ASL
Natalie Ellison Pentara Corporation Composites Genetics
Intissam Elmajid Ibn Zohr AD recognation, AD, MCI, NC
Jeremy Elman UCSD Pupillometry, aging, dementia
Ani Eloyan Brown University clinical domain, machine learning, deep learning
Nahla Elsaid Yale University FSE, Proton density
fares elsalamony The British University in Egypt brain tumor, brain cancer, alzheimer's disease
ahmed elsayad Mansoura University big data, big data analysis , big data processing
Daiaa elsayed Mansoura university Machine learning mri scans
Zeinab Elsharkawy Atomic Energy Authority Deep learning; image analysis; classification
Nada Elsokkary Khalifa University of Science and Technology AD diagnosis, deep learning, textural analysis
Goutham Elumalai SRM IST MRI
Rommy Elyan Penn State College of Medicine ADNI, knn
Rokaya Elziady GUC ML,AI
Maryam Emamidoost Ryerson University Alzheimer's Disease, segmentations, MRI
Patrick Emedom-Nnamdi Harvard University Alzheimer, machine learning
Polina Emeliyanova The University of Manchester White matter, grey matter
Okyaz Eminaga Stanford University DL, Classifcaiton
Bolade Emmanuel University of ILorin Alzheimer
Mohammad A E K Emon Janssen Pharmaceutica GWAS, MR
Daiki Endo Tohoku University Convolutional Neural Network, Computer aided diagnosis
HIRONOBU ENDO Johns Hopkins University MRI cloud
JAKELINI ENGEL Unoesc Alzheimer
Jakelini Engel UNOESC Alzheimer diagnosis
Corinne Engelman University of Wisconsin-Madison polygenic score, sequencing, rare variants
Bradley English Fraunhofer Institute Early-warning
Jinseok Eo Yonsei University Dynamic Causal Modeling, Effective connectivity
Gina Eom Centre for Addiction and Mental Health cognition, function, clinical scores
Joel Eppig SDSU/UCSD Joint Doctoral Program in Clinical Psychology MCI, Latent Variable Modeling
Sophia Epstein Claremont McKenna College classifier and diagnostic
Noam Epstein University of Illinois at Chicago Pharmacoepidemiology
Fusun Er Yeditepe University Alzheimer's Image Processing
Basri erdogan Bogazici University Alzheimer's disease, deep learning, cnn
Mahdiyeh Erfanian Ferdowsi University of Mashhad statistics. SPC, profile monitoring
Emrullah ERGUN Universitad Politecnica de Madrid Crow-search algorithm, Machine Learning, random forest
Bradley Erickson Mayo Clinic imaging biomarkers
Elena Erosheva University of Washington Longitudinal, hierarchical, mixed effects
Asier Erramuzpe Mondragon Unibertsitatea AD structure function preprocessing MRI
Ersin ERSÖZLÜ University of Munich (LMU) cognitive reserve, alzheimer disease
Naga Akhil ES PES University Alzheimer's Disease
Sara Esam Institute of Statistical Studies and research Alzheimer’s Disease
Sara Esam Institute of Statistical Studies and research Alzheimer’s Disease
Daniel Antonio EscobarGarcía Guadalajara University graph neural networks
Valentina Escott-Price Cardiff University machine learning, prediction, cognitive decline
Lorena Escudero University of Cambridge TADPOLE
Javier Escudero University of Edinburgh Machine learning, Decision support, biomarkers
Mehmet Bilgin Eser Istanbul Medeniyet University Brain, Magnetic Resonance imaging
Marziye Eshghi MGHIHP structural imaging, cortical thickness, speech motor regions
Parya Eskandari gilan 2314
Mary Eskander Banha Machine learning
Simon Eskildsen Aalborg University cortical thickness, brain mapping, segmentation
Taban Eslami Western Michigan University Alzheimer's, classification, Machine Learning
Soheil Esmaeilzadeh Stanford University deep learning course, Stanford university, class project
Alberto Espay University of Cincinnati Amyloid, soluble Abeta42
Érika Espindola IESB Machine learning, Alzheimer, Classification
Ana Espinosa Fundació ACE Cognition,
Mar Estarellas Garcia University College London Alzheimer, data-driven model, lifestyle
Antonio Esteves Universidade do Minho Alzheimer disease, deep neural network, deep learning
K.Emily Esther Rani Anna University rs-fMRI, Alzhemer Disease
Carlos Estrada Marmolejo Universidad de Guadalajara CNN, FrFT, Image recognitizion
Pierre Etienne ActuReal Services and Consulting Pvt.Ltd. Converson to MCI
Kobra Etminani halmstad university Skull stripping ,prognosis of AD and Dementia
Park Eui-In Hanyang Unicersity AI, Alzheimer's Disease
woohyun Eum Konkuk university QC case control
Diana Evangelista Ardsley High School deep learning; neural network; ROC; AUC; Adam; t-SNE; Alzheimers;
Nicole Evangelista University of Florida working memory, magnetic resonance imaging
Diana Evangelista Ardsley High School deep learning; neural networks; Alzheimer's; ROC; Python
Dave Evenden Southampton Universiry Dementia, Disease Modelling, Healthcare Planning
Dyachkov Evgeny MIPT Convolutional Neural Networks
Arnold Evia Jr. Rush University Medical Center amyloid, tau, PET, correlation
Katrina Evtimova NYU neuroimaging analysis
Michael Ewers LMU amyloid, genetics
Georgios Exarchakis Institut de la Vision, CNRS, Sorbonne University Scattering Transforms, Machine Learning
Soufiane Ezzaim Mohammed V University CNN, supervised learning
Ali Ezzati Albert Einstein College of Medicine Volumetric, MRI, Amyloid, cognitive decline
JISNA F UNIVERSITY OF KERALA Convolutional Neural Network
NICY F THANGAL KUNJU COLLEGE OF ENGINEERING Alzheimer’s disease (AD) · Mild cognitive impairment (MCI) · Feature selection ·
Sa Faber Rotman Research Institute MCA
Ghadah Fadhl Sana'a university Alzhiemer’s disease (AD), Convolutional neural network (CNN) , Deep neural netwo
Shreyas Fadnavis Indiana University Bloomington DWI, Machine Learning
Shahriar Faghani Tehran university of Medical science MCI-CN-fMRI-Machine learning-Deep learning
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
Ryan Fairchild University of Maine Tracking, atrophy
Fazal Ur Rehman Faisal Chosun University Medical Image Processing
Maryam Faisal KFUPM : Machine learning, Alzheimer's disease (AD), PET, MRI
Muhammad Faisal King Fahd University Tadpole Challenge Data
Abrar Faiyaz University of Rochester NODDI DLpN
Faruk Fakih Safadi The University of Manchester Machine learning, deep learning, AD, university, research, computer vision
Tiago Falk INRS AI, multimodal, signal processing
Ariana Familiar CHOP multimodal, imaging, molecular
Peihao Fan University of Pittsburgh Alzheimer's Disease; Machine learning; Biomarker;
Ziqi Fan China neuroinflammation AD beta amyloid
xuwei fan Southwest Minzu University deep learning、mental illnesses、fmri、Pathological analysis
CHENCHEN FAN Institute of Automation,Chinese Academy of Sciences machine learning
zhihao fan 华南理工大学 Thanks
Kathy Fan Stanford visualization, CNN, interpretability
Yang Fan Peking University AD, ASL, CBF
Geng Fan University of Electronic science of technology of China HDAC2
Corry Fan chongqing University of Posts and Telecommunications AUGgac394
Chong Yuan Fan National Chiao Tung University MRI
Jianan Fan Huazhong University of Science and Technology neuroimage, computer vision, pattern recognition
Xiaoguang Fan Tianjin Medical University General Hospital structural and functional network, nerual plasticity
Xiang Fan The Chinese University of Hong Kong biomarker
Wenliang Fan Union Hospital, Huazhong University of Science and Technology Alzheimer’s disease; Longitudinal change; Evolving pattern; FC
Yong Fan University of Pennsylvania Pattern recognition; Machine Learning, Multi-site data
weina fan Qufu Normal University research
Di Fan USC DTI
Lei Fan Vanderbilt University Medical Center Alzheimer's disease; imidazole propionate
Shawn Fan Rice University TADPOLE
Yonghui Fan Arizona State University ADNI2-GO MRI data
Zengyan Fan Singapore University of Social Sciences network analysis, statistical inference
ZHEN FAN Imperial College London Longitudinal amyloid tau
Ke Fan China eeg
Yu-Hua Fang University of Alabama at Birmingham PET. Image Processing
Yi Fang Zhejiang University cardiovascular disease
Feng Fang University of Houston Connectivity, fMRI, dTI, AD
Yan Fang Shanghai University of International Business and Economics 7Yiffany
Frank Fang Eisai Machine Learning
方丹丹 Fang 南通大学附属医院 -
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
SHENGLEI FANG Cardiff University Alzheimer, PET
Yi Fang Zhejiang University Perivascular space
Ruogu Fang University of Florida Alzheimer's Disease, cerebral perfusion, machine learning
Yifan Fang Zhongnan hospital white matter lesions; hippocampus; basal forebrain; cholinergic system; AChE
Lei Fang University of Kentucky functional joint model
zhang fangyuan school deep lerning CNN
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
LI FANSHI XIANGTAN UNIVERSITY MRI,CLINICAL
Sinan Faouri Applied science private university Deep learning MRI Alzheimer's disease
David Fardo University of Kentucky Pathway-wide association, AD
Gonzalo Farías Universidad de Chile synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Aamir Farooq techtip covid in adni
fayroz farouk electronics research inistitute APOE, multistate markov model
Mohamed Farrag Mohamed Farrag Dementia AD FTD
John Farrell Boston University Medical School whole_genome_sequencing genetics imputation structural_variants
Kurt Farrell Icahn School of Medicine at Mount Sinai Primary age-related tauopathy
Madeline Farron University of Michigan Medicine Neuroimaging, Alzheimer's Disease
maedeh fasihi ucf machine learning, classification, pattern recognition
Ashkan Fatemi mashhad university of medical science dementia, metabolomics
Karma Fathalla Arab Academy for Science and Technology Dementia, Alzheimer, Machine learning, deep learning
Sina Fathi Iran university of medical sciences CDSS, Alzheimer's disease, deep learning
Mobina Fathi Shahid Beheshti university of medical science Alzheimer
Ali Fathi Jouzdani Hamadan University of Medical Sciences PET lifestyle APOE-e4 Genes
Alireza Fathian Tarbiat Modares University Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network,
Misba Firdose Fathima Dayananda Sagar Academy Of Technology and Management Alzheimer’s disease, Convolutional Neural Network (CNN), MRI
ZAHINA FATHIMA A MADRAS CHRISTIAN COLLEGE GRAPH ENERGY, SPECTRAL GRAPH THOERY,ALZHEIMER'S DISEASE
S.MohammadAmin Fathollahi Tehran University of Medical Sciences Alzheimer's disease - Artificial intelligence - Deep learning - genetics - age
Manaal Fatima Pakistan Institute of Engineering and Applied Sciences Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Morteza Fattahi Tehran white noise-based, recurrent neural network, Alzheimer
Eugenio Fava DZNE inflammation, AD, MCI
boudaoud fayçal enset ad;mci;alzheimer;detect deases alzheimer
Marcelo Febo University of Florida College of Medicine fMRI, connectome, networks, neural nets
Alex Fedorov Georgia Institute of Technology self-supervised learning, multi-modal, deep learning
Jana Fehr Hasso-Plattner-Institute Causal Inference, Transportability
liu fei Tianjin University r-fmri functional connectivity network machine learning
jia feimao seu Disease Analysis
Franklin Feingold Stanford University BIDS
Amirhossein Feizi Semnan University learning, research design, studying
Tony Felefly Saint Joseph University Radiomics, Machine Learning
Robert Fellows VA San Diego Healthcare System cognition, everyday functioning, white matter hyperintensity, CSF, tau
Daniel Felsky Centre for Addiction and Mental Health microglia, polygenic risk, imaging, environmental modifiers
Grazia Daniela Femminella Imperial College London inflammation; atrophy; AD; MCI
Grazia Daniela Femminella University of Naples Federico II Alzheimer's disease; atrial fibrillation
Luo Fen South Central University For Nationalities GAN; MRI
Alan Fendrich Penn State College of Medicine learning to preprocess PET data
HONGBO FENG First Affiliated Hospital of Dalian Medical university aging
Zhichao Feng The Third Xiangya Hospital of Central South University fzc2018xyyx
gu feng Chinese Academy of Sciences gufeng11
hao feng 东北大学 fmri
Jinwang Feng Northwestern Polytechnical University Alzheimer's disease, Feature extraction, Classification
Yang Feng New York University Alzheimer’s disease, multiclass classification, prioritized error controls
Xue Feng University of Virginia Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers
Xinyang Feng Columbia University AD imaging biomarker
Tingsheng Feng Beijing University of Aeronautics and Astronautics 197234tL
qingshuang feng Beijing Normal University machine learning, classification
Lunlun Feng the First Affiliated Hospital of China Medical University Multimodal
Pan Fengfeng Shanghai Jiao Tong University Affiliated Sixth People Alzheimer's
Christine Fennema-Notestine UCSD MRI, thickness, morphometry, shape analysis, PET
Aasa Feragen Technical University of Denmark Computer aided diagnosis, bias/fairness, demographic groups
Lavinia Ferariu Gheorghe Asachi technizal University of Iasi, Romania Classification
Cameron Ferguson Cardiff University Network Psychometrics; Complex Systems; Modelling; Neuropsychology; Neurocogniti
Marco Fernandes University of Oxford metabolomics, machine learning, network analysis, psychiatric disorders
Javier Fernandez Cross Labs MRI, illiterate, educated
Isabel Fernandez Universitat Oberta Catalunya Early diagnosis
Alberto Fernández Universidad Complutense de Madrid, Spain APOE4, Amyloidosis, cognitive performace
MIGUEL ANGEL Fernandez University of Cadiz PET, image, machine learning
Álvaro Fernández Calleja Universidad Politecnica de Madrid Alzheimer, longitudinal analysis, MRI
Juan Luis Fernández Martínez University Of Oviedo machine learning, compressed sensing, AD
Sara Fernandez Rodriguez-Cabello University of Salzburg aging, longitudinal, WMH, AD
Pablo Fernández-López University of Las Palmas de Gran Canaria ANN, forecasting, prediction
Italo Alberto Ferrante University Federico II neural network; deep learning; artificial intelligence
Federico Ferrari Duke University Cox Model, Interaction Estimation
João Pedro Ferrari Souza Universidade Federal do Rio Grande do Sul (UFRGS) Alzheimer's disease; neuroimaging biomarkers; fluid biomarkers; cognition;
Bianca Ferreira ISEP Alzheimer's Disease, FDG-PET, Neural Networks
Hugo Ferreira Faculty of Sciences of the University of Lisbon Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Sara Ferreira Univerdade de Coimbra cognitive decline; aging; computational model
Camille FERRERO CSIRO MRI images
Jennifer Fey (Erway) Wake Forest University machine learning, optimization, quasi-Newton methods
achraf feydi National institute of applied science and technology Machine learning , diagnose
Lobna FEZAI Univeristé de Poitiers Deep learning, medical imaging, classification
Milan Fiala UCLA FDG scan, MRI, MMSE
Eleonora Ficiarà University of Torino Iron, MRI, Mild Cognitive Impairment, Alzheimer's Disease
Mark Fiecas University of Minnesota fMRI, connectivity, longitudinal
Matteo Figini University College London resolution, machine learning, image quality transfer
Briana Figueroa PACE university Image Recognition Project
Michal Figurski University of Pennsylvannia UPenn, Leslie Shaw
Laura Filippi IRCSS San Martino Hospital Amyloid uptake in AD
muco findik Malmö Artificial Intelligence, Machine Learning, EEG data
Elizabeth Finger University of Western Ontario NPI, MRI, PET
Evan Finkel Georgia Institute of Technology Alzheimer's, Machine Learning
Alan Finkelstein University of Rochester Machine Learning, DIPY, tractography
Robert Finnegan University of Sydney Image enhancement, PET/MR, deep learning
Michael Firbank Newcastle University Dementia
aku fire FuZhou University machine learning
Alfandi Firnando Universitas Sultan Syarif Kasim Riau alzheimer's
Florian Fischer Universtiy Medical Center Mainz Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Clara Fischer Neurospin, CEA brain atrophy
Tim Fish Changan University image analysis
Liam Fisher Houghton College Data, Analysis
Terrence Fisher Vaccinex, Inc. pepinemab, SEMA4D, FDG-PET
Sam Fisher Medical and signal Processing Center Resting state-brain connectivity-alzheimer disease-functional imaging-Neuroimagi
Madalina Fiterau University of Massachusetts Amherst Alzheimer’s disease; trajectory modeling; medical imaging; multimodal fusion; de
Gregory Fitzgerald State University of New York at Albany "mild cognitive impairment", "reversion", "dementia"
Lúcio Flávio de Jesus Silva State University of Maranhão Alzheimer, ANN, fMRI, Deep Learing
Christopher Fleetwood University Of East Anglia Alzheimers, Deep Learning, CNN, GCNN
Ben Fleming University of Birmingham Convolutional Neural Network, Multi-Class Classification, Reccommendation
Alexandru Floares Solutions of Artificial Intelligence Applications Artificial Intelligence, Alzheimer's disease, clinical, genomic, imaging, data
keyla flores MBIT SCHOOL BUSINESS DATA INTELLIGENCE ALZHEIMER
Shaney Flores Washington University in St. Louis DIAN, harmonization, WUSTL
Carlos Flores UNAM brain, unam, inb
Guadalupe Flores Islas Instituto Politécnico Nacional Alzheimer classification
Niels Focke University of Göttingen FDG-PET, Epilepsy
Nancy Foldi Queens College - City University of New York MTL, HIppocampus, serial position effect
Guilherme Fôlego Universidade Estadual de Campinas AD, ML
Jarrad Foley University of Leciester Alzheimers, brain scan
Jonas Folke Bispebjerg Hospital, University Hospital of Copenhagen Alzheimer's disease, B cells, Immunological memory
Lukas Folle Friedrich-Alexander Universtät Erlangen-Nürnberg Deep Learning, MRI, Super Resolution
Manson Cheuk-Man Fong The Hong Kong Polytechnic University Aging, brain age
Bernard Fongang UT Health San Antonio Dementia, Vascular dementia, Gene expression, MRI markers
Vladimir Fonov McGill University de-identification
Joana Fonseca FEUP ML
Fabian Humberto Fonseca Aponte Sapienza Università di Roma Adversarial learning, auto-context model, MRI, image synthesis
Alfred Fonteh Huntington Medical Research Institute Amyloid, tau, PET, metabolites, glutamate, lipids, omega-fatty acids
WEI JIAN FOONG UNIVERSITY MALAYSIA PERLIS ALZHEIMER'S DISEASE, PREDICTION, BIOMARKERS, GENOMIC, NEUROIMAGING
Jamie Ford Imperial College London Functional connectivity, resting-state fMRI, structural MRI, amyloid
Tamar Foreman Monash University Alzheimer's Disease, Intrinsic Neural Timescale, fMRI, neurodynamics
Cynthia Forgeron St. Francis Xavier University Dementia, Alzheimers, machine, learning
Myriam Fornage University of Texas Health Science Center at Houston Small Vessel Disease; brain MRI; white matter hyperintensity
Alex Förster Universitätsmedizin Mannheim AD, crossed cerebellar diaschisis
Adam Forys Roche ADNI, Roche, dashboards
Chris Foster UT Dallas | Center for Vital Longevity Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Panagiotis Fotiadis Massachusetts General Hospital atrophy; cerebral amyloid angiopathy; alzheimer's disease
saman fouladi tmu y
Gregory Founshtein The hebrew University and the Hadassah Ein Kerem medical center Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Michael Fox Harvard atrophy
Lydia Fozo APL Connectome, Biomarkers
Ernest Fraenkel MIT machine learning, AI
Ambily Francis Karunya AD,CN,MCIc,MCInc
Fabio Frangiamore university of Milan Bicocca Alzheimer, CNN, deep learning
Eric Frankel Stanford University neuroimaging, gene expression, autism spectrum disorder, protein interaction
Mark Fraser Australian National University harmonized Hippocampal protocol, manual segmentation
Mark Frasier Michael J Fox Foundation CSF, biomarkers, neurodegeneration
Simona Fratus University of Brescia deep learning, neural network
Blaise Frederick McLean Hospital/Harvard Medical School resting state, perfusion,
Amy Fredrickson Cogstate Data Deliverable
Leon French Centre for Addiction and Mental Health gene expression
Jennifer French University of Maryland GWAS
Simon Frerich Karolinska Institute Subtyping
Simon Frerich LMU Munich genetics of AD
Yun Freudenberg-Hua Feinstein Institutes for Medical Research dementia genetics Alzheimer association variants
Brad Friedman Genentech, Inc. bioinformatics genetics
nadav friedmann cassavasciences decline over time
Christoph M. Friedrich University of Applied Science and Arts Dortmund SNP subset selection
Lars Frings University of Freiburg PET; Amyloid; FDG; Medial Temporal Lobe
Hans-Christian Fritz German Center for Neurodegenerative Disease basal forebrain, functional connectivity
Vincent Frouin CEA imaging-gentics; vcf genetics
Jingru Fu KTH medical image registration
xiaoyi fu Institution analysis
jeffson fu Chongqing University of Posts and Telecommunications image
Yunguan Fu University College London deep learning, registration
Ray Fu BIT data analysis
Zening Fu Georgia State University Multi-diseases biomarkers, data-fusion, dynamic brain connectivity
Kai Fu Northwest A&F University machine learning
yanv fu The Affiliated Second Hospital of Zhejiang University of Medicine Alzheimer's disease
Pan Fu Taizhou First People’s Hospital Alzheimer's disease, synaptic degeneration, clusterin
lingling fu south-central university research
Annalena Fuchs University Hospital Aachen FDG PET, dementia, metabolism
Nicolás Fuentes Universidad Nacional de Córdoba atlas, radiotracer, Alzheimer
Niccolo Fuin Ixico structural MRI, dMRI, ASL, fMRI
Motonobu Fujishima National Center of Neurology and Psychiatry differential diagnosis; Alzheimer's disease; FDG-PET; MRI
Fabian Fullone Universidad Argentina de la Empresa data
Lawrence Fulton Texas State University machine learning
Brian Fulton-Howard Icahn School of Medicine at Mount Sinai PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS
Ernest Fung Cogstate Alzheimer's disease, clinical trials, CNS drugs
Cory Funk Institute for Systems Biology Alzheimer RNA-seq WGS
Cory Funk Institute for Systems Biology metabolism, immune, transcription factor, gene expression
Quentin Funk Houston Methodist Research Institute Tau, fMRI, graph theory, DTI
Ansgar Furst Stanford University Alzheimers, TBI, Veterans
Pedro Furtado Universidade de Coimbra medical imaging
Elies Fuster-Garcia Oslo University Hospital Deep learning, data fusion, diagnostic
MALAVIKA G kumaraguru college of technology disease, machine learning, data science
Aishvarya G PSG College of Technology AlexNet,CNN
Renith G SRM University Alzheimer Disease
jayavel G anna university alzheimer desease
NAGARJUNA REDDY G NBKR INSTITUTE OF SCIENCE & TECHNOLOGY, VIDYANAGAR Alzheimers
Dileep Kumar G Sudiksha Analytics ADNI, Research, Study
Janakasudha G Sri Venkateswara College of Engineering Alzheimer's Disease, Brain image analysis, machine learning and deep learning
Sophi Shilpa G NTU Alzheimer’s Disease
Ali G. Tabrizi University of Tabriz Algorithm , neuron, modeling ,treatment
Man Ga IMM 4327050Ho
Musa Gabere Mayo Magnetic Resonance Imaging, Positron emission tomography
Geoffroy Gagliardi Brigham and Women's Hospital Awareness, Biomarkers
Yu Gai UESTC Alzheimer;Classification;DeepLearning
Felipe Gaitan Universitat Pompeu Fabra mri super resolution
Niharika Gajawelli USC fMRI, MRI, AD, MCI,
Anand Kumar Reddy Gajulapalli Annamacharya PG college of computer studies required
Douglas Galasko UC San Diego CSF biomarkers cognition
Paola Galdi University of Salerno networks, multi-modal data, classification
Elena Galea Institute of Neuroscience, University Autonoma of Barcelona proteomic data, CSF/plasma, astrocytic signature(s)
Liisa Galea University of British Columbia APOE, Pregnancy, motherhood, hormone therapy, inflammation
Brahyan Galindo Mendez University of California, Berkeley Alzheimer's disease,
Kevin Galinsky Takeda NFL; cognition; TREM2; CD33
Charles Gallay EPFL Master These
Carlos Galmarini TOPAZIUM Artificial intelligence, deep neuronal networks
Deepak Gambhir Galgotia College of Engineering and Technology Alzheimer disease AD; Machine Learning Models
Charlie Gamett-Griggs University of Bath MRI, Convolutional Neural Network, Deep Learning, Transfer Learning
Hong Seng Gan Universiti Kuala Lumpur hippocampus Segmentation, Alzheimer's Disease, Random Walks
Christina Gancayco University of Virginia neural network, machine learning, deep learning
Amisha Gandhi Boston University final project, machine learning
Maite Gandia IIS La Fe Artificial Intelligence
Michal Gandor Politechnika Krakowska machine learning research
Arya Ganesan Academies of Loudoun Tau, Alzheimer's Disease, Segmentation
Ajith Kumar Ganesan Govindasamy VasoGnosis Deep learning, wGANs, Gan Data Augmentation
Rithvik Ganesh Jasper High School AD, machine learning, diagnosis
yang gang ustc segmentation
li gang Northeasten university AD
Umesh Gangadharaiah JSS SCIENCE AND TECHNOLOGY UNIVERSITY Alexnet,CNN
AYUSHE GANGAL G.B. Pant Govt. Engineering College neural networks, deep learning
Rekha Gangula KITS, warangal Alzheimer's disease analysis, prediction, Data analysis
Arkaprabha Ganguli Michigan State University Alzheimer’s disease, High dimension valariable selection, nonrandom nonresponse
Sandeep Ganji Philips ASL
Reema Ganotra YMCA University of Science and Technology Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Jonathan Gant University of Florida topological data analysis, machine learning
Yang Gao Central South University AD/GNN/Disease Analysis
Zongmei Gao Columbia University MRI, AD, screening
Hanzhi Gao University of Florida Matrix Masking, Neural Network over Masked Data
Jian Gao Guizhou University Request
Libin Gao Wenzhou University data
Xingyu Gao Shanghai Jiaotong University Alzheimer`s disease, Muti-modality, Deep learning
yan gao Xi’an Jiaotong University multi-view classification
Yuan Gao University of Oxford Yeye8330209
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
Lijuan Gao Affiliated ZhongDa Hospital, Southeast University APOE, DMN, MCI, conversion, AD
Yurui Gao Vanderbilt University functional connectivity
Xue Gao Shaanxi Normal University fMRI data
Qinnan Gao National Tsing Hua University deep learning, CycleGAN
Yunhe Gao Rutgers University Segmentation CNN
Kun Gao UNC-chapel hill medical image classification, deep neural network
Heibei Gao Hangzhou Normal University PD AD MC cognitive diseases
ZhiQiang Gao PengCheng laboratory radiomics, radigenomics
Fuxun Gao University of Shanghai for Science and Technology Alzheimer’s disease; Computer-aided diagnosis
Simon Gao FuDan University adniczg123
Xiao Gao University of California, San Francisco atrophy, cognition
Kejiao Gao Northeastern university of china Transfer learning
Wei Gao Merck Amyloid, Tau
Kai Gao SEfe AD, MCI
zhengzhou gao beihang university gzzhv587
Yifan Gao Northeastern University computer-aided diagnosis, deep learning, medical image analysis
Linlin Gao Ningbo University longitudinal MRI, convolutional neural network, recurrent neural network
ang gao CAS,china Machine learning
Yali Gao new york university risk factor
Peirong Gao Zhejiang University BIN1,AD biomarker
Gao Zhiyang Gao Zhiyang Shanghai Univesity Alzheimer's disease, MRI ,PET
Manisha Garasiya GTU Classification, detection
Sara Garbarino Universite Cote d'Azure, Inria misfolded proteins, dynamical system models, disease progression models
José Carlos García Universtitat Oberta de Catalunya brain anomalies, automatic segmentaion, automatic lesion detection
HAYDEE GARCIA LIN DATANMA
Gracian Garcia Quiron PET; SPM; templates
Kara Garcia Indiana University School of Medicine surface registration, longitudinal, cortex, shrinkage, biomechanics
PIEDAD GARCÍA Ciudad Real Universitary Hospital IA in AD
Miguel Garcia Boehringer-Ingelheim historical controls, placebo, disease modelling
Álvaro García UNIZAR ClinicaDL, project, experiment, training
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Melanie Garcia Hypercube Institute Neuroimaging, Data analysis, multi-site effect
Indira Garcia Cordero UHN AD, functional connectivity, pet, longitudinal analysis
Carlos García Corral University Carlos III of Madrid Alzheimer's, Deep Learning, Classification, RMI
Cindy Lucero Garcia Garcia Douglas Research Centre multimodal techniques
Fernando García Gutiérrez Complutense University of Madrid Artificial Intelligence, Neurodegenerative diseases, Deep Learning, Machine Lear
Daniel García Núñez Universidad Nacional Autónoma de México Alzheimer's disease, assist in diagnosis, computer vision
Eloy García Pérez Universidad Complutense of Madrid / Hospital CR Artificial intelligence
ruben Garcia Quintana Universidad de las Palmas de Gran Canaria CNN
Juan Manuel García Varilla MicroWebServices, SL alzheimer, early diagnose, machine learning, pattern detection, PET, imaging
Rafael Garcia-Dias KCL sMRI, Machine Learning
Jord Garcia-Ojalvo Universitat Pompeu Fabra Brain dynamics, relaxation dynamics, potential landscapes.
Raquel Gardner San Francisco, VA Medical Center and University of California, San Francisco amyloid, traumatic brain injury, post-traumatic stress disorder
Himanshu garg thapar university Thanks
Himanshu garg thapar university Thanks
Rhythm Garg Stanford University computer vision, neuroimaging
Gaurav Garg University of Ulster Modeling, EEG, fMRI, Alzheimer's, AD
Ambika Garg Thapar Institute of Engineering and Technology Feature Extraction,PCA
sampurna garg thapar university 123456
NEHA GARG akgec ALZHEIMER
Monica Garibay OHSU connectivity, biomarkers,
Valentina Garibotto Geneva University Hospitals FDG PET, tau, Ab42, CSF
Anurag Garikipati Dascena, Inc Machine learning, deep learning, MRI analysis, drug efficacy
Lana Garmire University of Michigan metabolomics, genomics, genetics, clinical data
José Alejandro Garnica López Universidad de Monterrey Alzheimer, MCI, Machine Learning, T2 weighted images
Bill Garofano AZTherapies Alzheimer's Disease, Amyloid Beta, Tau, Neurofilament Light
Diego Garrido Centre for Genomic Regulation multivariate regression, GWAS, QTL mapping, Alzheimer's disease
Dimple Amitha Garuadapuri Eleanor Roosevelt High School Diagnosis, Alzheimer's disease, MRI, machine learning
Isabel Garza Lufkin High School Science Fair
Eduardo Garza-Villarreal Instituto Nacional de Psiquiatria diabetes, imaging genetics, neuroimaging
Christian Gaser Jena University Hospital brainage, vbm
gagasgsag gasgasgags NIS ML
Jeremy Gaskins University of Louisville Statistical methodology, Bayesian methods
Gabriele Gaßner University of Kiel Hippocampal Volume, Hippocampal Atrophy
Chris Gatenby University of Washington MRI
Vincent Gaudet University of Waterloo iterative algorithms, belief propagation, stochastic computing
Joverlyn Gaudillo University of the Philippines Los Baños machine learning, longitudinal clinical data
Iris Ivy Gauran University of the Philippines Meta analysis, ordinal data, homogeneity
Deepam Gautam philips Brain MRI AI
Deepam Gautam philips research and investigation
PRIYANKA GAUTAM NIT JALANDHAR deep learning, alzheimer
Nishant Gautam JIIT CN LMCI AD
usha gautam BMSCE AD, normal, EMCI,LMCI,rs-FMRI
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Jodie Gawryluk University of Victoria white matter, MRI, DTI, cognition
mihály gayer university of geneva, switzerland master thesis, deep learning classification algorithm
Shufei Ge Simon Fraser University Associations study, Group Lasso ,spatial correlation structures
youjin ge Shanghai Maritime University AD
Chuanbin Ge Beijing Insititute of Technology alzheimer disease, epilepsy, lesion location
chuanhua ge chongqing medical university AD
Peicong Ge Beijing Tiantan Hospital, Capital Medical University biomarkers, AD, machine learning
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
Huatao Ge Changchun University of Science and Technology image process
Huatao Ge Changchun University of Science and Technology atlas
Qi Ge Sun Yat-sen University aided diagnosis, Alzheimer's disease
Junyue Ge University of Gothenburg Biomarker, neurodegenerative disease
XINTING GE University of Southern California AD, Image process
Black Ge Beijing University of Science and Technology fMRI ,classify
Andrew Gearhart Johns Hopkins University Applied Physics Laboratory subtyping, unsupervised learning,
stephan gebel Fraunhofer Institute for Algorithms and Scientific Computing SCAI Ontologies, Terminologies
Haymanot Gebre-Amlak University of Missouri - Kansas City Signal Processing, AI and Big Learing
Wen Gege Donghua University Alzheimer's disease;mechine learning
Zoltán Gelencsér NETIS Zrt dementia Parkinson Alzheimer
Pei Geng Illinois State University Functional data analysis, neural networks, application in ADNI
feifei geng Emory University Perivascular Spaces Segmentation
Efstathios Gennatas University of California, San Francisco machine learning, precision medicine, multimodal data analysis, interpretable
CLAUDIO GENTILI University of Padua Functional connectivity; Alzheimer
Claudene George, MD, RPh Albert Einstein College of Medicine ACE Inhibitors, Dementia
Michalis Georgiou University of Huddersfield Alzheimer’s Disease Neuroimaging Initiative
Joseph Geraci Queen's University gene expression, disease progression
Richard Gerkin Arizona State University teaching
Dwight German University of Texas Southwestern Medical Center klotho, clusterin, ApoE, FGF23
Liliana German-Castelan University of Western Ontario Cholinergic system, amyloid beta, basal forebrain
Eske Gertje Skane University Hospital/ Lund University publishing rights
Corey Geurink 1973 exome, Alzheimer's, risk, allele
Olivier Gevaert Stanford University deep learning multi-scale modeling
Omar Ghabayen Jubilee Institute Alzheimer’s Machine Learning Principal Component Analysis Dimension Reduction
Hadeel Ghadri University of Birmingham - Dubai Alzheimer’s - FMRI
Faezeh Ghaemdoust Tehran University of Medical Sciences Alzheimer's
Sima Ghafoori shahid beheshti university of medical sciences Alzheimer's Disease, mild cognitive impairment
Sima Ghafoori shahid beheshti university of medical sciences Alzheimer's Disease, mild cognitive impairment
Ali Ghafouri The University of Texas at Austin Alzheimer
Gregory Ghahramani Weill Cornel Medicine Alzheimer's Subtypes
Mohamed Ghalwash IBM Research progression; personalized
ali ghamari amirkabir university of technology alighamari2111
fatemeh ghanad payamenoor Alzheimer disease, classification
Mehrnoosh Ghanbarian Mashhad University of Medical Sciences Free Water Imaging, Alzheimer's disease, CSF, Diffusion Weighted Imaging
Behrooz Ghane University of Isfahan Deep Learning
Farnaz Gharedaghi Tabriz university PET/ MRI super resolution
Saoussen gharsallah Enetcom Deep Learning, Alzheimer, Hippocamps
Saoussen gharsallah ISIM Gabes WMH, Segmentation
MEHDI GHASEMI IUST graph theory
Mina Ghasemi Islamic azad university minasibanner2000
Ehsan Ghavimehr IAUTMU AD subtypes
ghazal ghazal sahand university of technology alzheimer
Saida Ghazela Faculté des Sciences de Gafsa Alzheimer Database Brain
Saeed Ghodsi University of California, Los Angeles Disease Progression Modeling; Statistical Analysis; Healthcare Services Research
Mahsa Ghorbani Technical University of Munich graph convolutional networks, node classification, prediction
zahra ghorbanzadeh Bojnord university signal processing and classification
zahra ghorbanzadeh Bojnord university Classification, Alzheimer, Image Processing, brain, disease, neural network.
mohammadreza ghorvei tarbiat deep learning
Sayan Ghosal Johns Hopkins University Imaging-Genetics, Graph Learning, TADPOLE, Alzheimer
Palash Ghosal NIT DURGAPUR ,INDIA Deep Learning,Machine Learning,Neurodegenerative disease
Debjyoti Ghosh Visva-Bharati University Alzheimer
Debjyoti Ghosh VISVA BHARATI UNIVERSITY Alzheimer, Disease, MRI
Sreejita Ghosh DTU bias
Robin Ghosh Jackson state university Image Analysis, CNN
Tomojit Ghosh Colorado State University Feature selection
Lahouari Ghouti Prince Sultan University deep learning, ai, classification, detection
Luca Giancardo University of Texas Health Science Centerat Houston machine learning, longitudinal connectomes
Neha Gianchandani Manipal University Jaipur Deep Learning, Alzheimer
James Giang University of Agder Machine learning masterthesis
Jim Gibbons University of Limerick, Ireland machine learning, semi supervised learning
Laura Gibbons University of Washington Genetics, using ADNI data as a teaching example, Friday Harbor
Jesse Raphael Gibbs National Institute on Aging, NIH genetics neurodegeneration
Richard Gibbs Baylor College of Medicine Structural variants; ADSP
Lauren Gibilisco AbbVie biomarkers, progression
Gary Gibson Weill Cornell Medical College conversion
camila gil U. militar Corazones.171
Sascha Gill University of Calgary Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging,
Guillem Giménez Universitat Politècnica de València Electroencephalography; Brain connectivity; Dementia; Alzheimer Disease
Joseph Giorgio University of Cambridge Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Muhammad Girach Nottingham Trent University MRI, Convolutional Neural Networks, Keras, Deep Learníng
Diana Giraldo Universidad Nacional de Colombia Morphometric Analysis
CHAITANYA GIRASE Ezytek cons