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Investigator Institution Keywords
ANIMESH KUMAR -- National College of Ireland BRAIN AGE, MRI, DEEP LEARNING, PREDITION
sakshiwala . National institute of technology patna mild cognitive impairment, resting functional MRI, brain functional network
Thushara A TKM College of Engineering AD,MCI,Brain graph, rsfmri,DTI,Tractography
a a a a
Srinivasan A CSIR-CMERI Alzheimer's Disease
shyna A TKM ASL,CBF
Sai Darahas A National Institute of Technology Andhra Pradesh neuroimaging
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
ali abbasi Urmia University of Technology Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne
Kainat Abbasi Habib University 3DCNN, Adam(), SGD()
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
Mohamed Abdelaziz Shenzhen university Alzheimer’s disease, multimodal data
Eman AbdElhalim Mansoura University alzeihmar
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
Osama Abdullah NYU Abu Dhabi Freesurfer, DTI
Azian Azamimi Abdullah Universiti Malaysia Perlis Alzheimer’s disease (AD), MRI, machine learning, prediction tool
Mohammed A M Abdullah Ninevah University fMRI, machine learning, AD, classification
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
Olamide Abiose Stanford University tau, PET, amygdala, stress
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
Mohamed Aborageh Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) Cognitive features, Longitudinal modeling
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
Francisco Javier Acevedo University of Alcala PET, MRI, CSF biomarkers
Maria Ram Achary University of Mumbai Alzhemeirs parkinsons hungtions and ALS
Noriaki Adachi MSD. K.K. (Japan Branch of Merck) threshold
Nikolaos Adaloglou INSA segmentation, medical imaging
Hieab Adams Erasmus MC University Medical Center Neurodegeneration, high-dimensional data, brain imaging, genetics
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
aya adel cairo university classification
Tameem Adel University of Amsterdam MRI Classification, Unsupervised Feature Learning.
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
Amit Agarwal USC Tau, microglia, neurodegeneration
Ajay Agarwal DIT University Alzheimer's Disease, Progression
Tanay Agarwal Vellore Institute of Technology GAN
Ishaant Agarwal BITS Pilani KK Birla Goa Campus, Sancaole, Goa Unet, segmentation, deep learning
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
Abhi Agarwal Health Banyan Medical
Bless Agbley University of Electronic Science and Technology of China Federated ML, Multimodal Medical Analysis
Kunal Aggarwal Amity University Machine Learning, AD, MCI
Anay Aggarwal Stoller Middle School behavior test scores
Arshiya Aggarwal Manipal University (MUJ) Jaipur Alzheimer's, MCI, Early diagnosis, Convolution Neural Network
Atefe Aghaei Shahid Beheshti University image processing, segmentation, feature extraction, deep learning, classificatio
samira aghaie Shahid Beheshti university DTI
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
TARUN AGRAWAL NIT HAMIRPUR DNN, Medical Image
Ambuj Agrawal Elucidata Inc. Project, Alzheimers prediction, IIIT Allahabad
Vismay Agrawal Indian Institute of Technology Madras Medical Image Analysis
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
Unai Aguilera Mondragon University PET, MRI, HSV
Rubén Aguilera García Granada University CNN, Alzheimer detection, deep learning.
Ifeanyi Aguocha Cyprus International University Deep Learning, medical diagnosis, Neural networks
Kawser Ahammed Jatiya Kabi Kazi Nazrul Islam University alzheimer
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
Fawad Ahmad Student data mining
Hessam Ahmadi Islamic Azad University, Science and Research Branch fMRI, Non linear, graph theory, functional connectivity
Fatemeh Ahmadi Amirkabir University Ricci Flow, Teichmuller space, metric
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
Tahera Ahmed Bond University Alzheimer's, Early Detection, Prediction
Khandakar Tanvir Ahmed University of Central Florida mutation, MRI image, Alzheimer
Mughis Ahmed UOG Multiple sclerosis
Juweiriya Ahmed Western University Psychosis, AD
Kamran Ahmed Daffodil International University AD detection
Hala Ahmed Faculty of computer science Bio informatics
USAMA AHMED Riphah International University Machine Learning
ismail ahmed University of Anbar BRAIN ANALYSIS
Yong Yeol Ahn Indiana University network, multi-omics, data integration
Pratyush Ahuja Jaypee Institute of Information Technology Alziehmars disease
Helena Aidos Faculdade de Ciências, Universidade de Lisboa Deep learning, prognosis, patient profiles
Marco Aiello Fondazione SDN Diaschisis, PET, MR, connectome, brain connectivity
David Airey Eli Lilly and Company NfL hippocampus biomarker
Viljami Aittomäki Nightingale Health Ltd metabolomics, AD, Alzheimer's disease
Zou Aixiao Beijing University of Technology data mining,bioinformatics and brain science
Santiago Aja-Fernandez Universidad de Valladolid Diffusion MRI, anisotropy measures, robust estimation
NIBIN BIN RIYAS AK VIT ADNI
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
Oguz Akbilgic Loyola University Chicago deep learning, medical image analysis
Erdoğdu Akça Marmara University Pendik Training and Research Hospital MCI, ALZHEIMER'S DISAESE
Adeem Akhtar Forman Christian College University (A Chartered University) Longitudinal, Progression, Classification, Prediction
Vasily Akimov HSE Alzheimer, Neurovisualization
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
deniz aktas TOBB Ekonomi ve Teknoloji Universitesi internship
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
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
Ali Al-Nuaimi Plymouth University brain disorder
Manal Al-Qahtani King saud university Grey matter, MRI, Alzheimer, Education
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
Raquib-ul Alam University of Sydney longitudinal,mri,mri,pet,genetic
Mohammad Arif Ul Alam University of Massachusetts Lowell Deep Learning, Reinforcement Learning, Cognitive Decline, Explainable AI
Wang Alan WTU deep learn
Oscar Alarcon Palomar UNED U-Net
Teresa María Alarcos Tamayo WstartupC ML, AI, Alzheimer
Alessandro Alati Università degli studi Roma Tre Graduation thesys University Rome
Raed Alazaidah Universiti Utara Malaysia Longitudinal data
Hadeel Albalawi Univeristy of Aberdeen Alzheimer’s disease, attribute selection, classification, data mining, dementia,
Philippe Albouy Université Laval Morphometry
Daniel Albrecht University of Southern California Amyloid, tau, CSF, blood
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,
Faten Aldhafeeri University of Hafr Albatin cortical thickness, grey matter, white matter
Irene Aleixandre Soriano 1997 alzheimer, project, software
Turki Alelyani Najran University machine learning, Alzheimer, MRI
Bomin Alex Shandong University fMRI, dynamic functional connectivy
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
Muhammad Ali Washington University in St. Louis Amyloid, Imaging, GWAS, genetic, biomarker, AD.
Samr Ali Concordia University machine learning, hidden markov models
Haider ali university of gujrat fmri
doaa Ali University of kentucky Preclinical AD - amyloid PET images_ Cognitive function tests
shahad ali Technical College of Management MRI dataset
Mohd Hanafi Ali The University of Sydney Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
YAQEEN ALI Comsats university of Islamabad Lahore campus White matter hyperintensities,ADNI,Segmentation
samire aliniyaee Yazd University Alzheimer, biomarker, psychopathology
Sadiq Alinsaif University of Ottawa classification; machine learning; deep learning; feature extraction
farzad alizadeh tums fmri,deep learning
Rawan Alkady Misr international university Bio informatics
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
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
Devansh Alok Jaypee Institute of Information Technology prediction, neural nets, deep learning, college project
Mohammed Alom Cork Institute of Technology Machine learning, Deep Learning,
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
faisal alsalem CICADA Imaging PET
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
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
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
Eghosa Amadin Stanford University diagnosis
Miguel Amador Tecnico Lisboa Alzheimer, Biomarker, Connectome
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
Sadia Amin BRAC University AD,Neural network
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 Shahid Beheshti University Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Morteza Amini Institute for Cognitive Science Studies 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
ZAREEN AMTUL Independent Rsearcher Alzheimer's disease, diagnosis
Lijun An National University of Singapore ML, AD
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
Christina Andica Juntendo University Graduate School of Medicine Diffusion MRI, Free-water imaging
Nicolas Andrade University of California, Berkeley machine learning, convolution neural network, support vector machine, decision t
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
Ayush Aneja Thapar Institute of Engineering and Technology Machine learning project
Farhan Angan BRAC University Alzheimer, Deep learning
Spyros Angelopoulos Tilburg University AI, neural networks
cucun angkoso Institut Teknologi Sepuluh Nopember feature reduction, deep belief net, alzheimer
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
Ananthalakshmi Annappa Pushpalatha College of Staten Island- CUNY Machine learning prediction AD MCI life expectancy
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
Febin Antony Christ (Deemed to be University) MRI, PET, Alzheimer's Data, Gray Matter. CSF
Augusto Antunes MINER.IA AI, Machine Learning, Inflammation, AD
Nmachi Anumba Georgia Institute of Technology Alzheimer's disease, MR imaging, classifier
Muzamil Anwer Bahria University 335630
Mazin Aouf Western Sydney University Medical Research Datasets
Li Yew Aow Yong Universiti Teknologi Malaysia classification
Chatchawit Aporntewan Chulalongkorn University Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova IU AD biomarekrs
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
Mohammad Arbabyazd INS reconstruction, virtualisation
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 diffusion, DTI, registration
Konstantinos Arfanakis Illinois Institute of Technology mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker
nouha arfaoui University MCI
Ali Ozgur Argunsah University of Zurich AD detection, convolutional neural networks
Juan A. Arias University of Santiago de Compostela Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning
Kfir Ariel Tel Aviv University thesis, research methods, neurodegenerative diseases
Kazuto Arihara The University of Tokyo Hospital I will write it later.
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
Maria Eugenia Ariza The Ohio State University early biomarker, AD progression, virus protein
Magnolia Ariza-Nieto epIAWELL LLC epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Aramin Armani AmirKabir University NeuroAnatomy
Steven Armentrout Parabon Computation MDR, epistatis, cloud computing
Rui Armindo Hospital Beatriz Ângelo ASL; Neuroimaging; Research; Teaching
Nicole Armstrong National Institute on Aging Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Thomas Arnold University of Pennsylvania Cortical thickness, cortical atrophy
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
Amit arora ptu MRI, Mammography, image processing, Deep learning, machine learning
priya arora Thapar Institute of Engineering and Technology Alzheimer disease
Jai Arora Netaji Subhas Institute of Technology, New Delhi Na
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
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
Hadis Asadi Islamic azad university Central Tehran Branch Medical radiation
bahareh asadpour ferdowsi university of mashhad research, sMRI, AD, alzheimer's disease
Maame Gyamfua Asante-Mensah Skoltech Neural Networks, Classification
adsad asdhkjashd Stanford ML AI
calvin Ashe Maynooth University Final year project; Students; Covid-19
Miriam Ashford NCIRE Clinical
Wes Ashford Stanford leptin, Alzheimer, blood, dementia
Al ashir Dhaka International University Brain anomaly
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
Azhaar Ashraf Imperial College London Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Naba Ashraf GCUF ASD
Amir Ashraf-Ganjouei Tehran university of medical scienses Machine learning, Neural network
mona ashtari polytech Alzheimer’s disease- MCI- classification
Krish Asija St. John's High School support vector machines,deep learning, neurological degeneration, Alzheimer's,
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
amara aslam university of gujrat Parkinson disease
amara aslam university of gujrat fmri
Farrah Aslam University of Wah Alzheimer disease prediction
Toshihiko Aso Kyoto University Graduate School of Medicine BOLD signal, cerebral blood flow, venous drainage
Assif Assad Islamic University of Science and Technology MAchine Learning Deep Learning ARTIFICIAL Intelligence
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks, Effective Connectivity,
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
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
brian avants Biogen brain, thickness, ANTs, conversion, amyloid
Linda Avena Ludwig Maximilians Universität blood brain barrier, glymphatic system, ADNI MEM, ADNI Exec, atrophy, 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
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
Reina Ayde Basel university Deep learning image reconstruction
Beste Aydemir Bilkent University Course Projects, Alzheimer's, Bilkent University
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
Harry Azadbakht TMU University Alzheimer Disease, Prediction, Regression
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
Tiago Azevedo University of Cambridge fmri mri clinical
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
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
Rudhra B IIITMK PARKINSON
shwetha B sjce Alzheimers, MRI, Wavelets, SVM
Athira B TKMCE Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise
jawahar b kongu engineering college dataset
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
Rajakumar B R Resbee Info Technologies Optimization, Classification, Computer aided diagnosis
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Abbas Babajani-Feremi The University of Tennessee Health Science Center Imaging biomarker; Early identification of the Alzheimer’s disease (AD)
Fatima Babar G.C. Women university,sialkot neuroimaging
AmanPreet Badhwar CRIUGM, University of Montreal neuroimaging, genetics
Lea Baecker King's College London machine learning, MRI
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
Ali Baghayeri Shahrood University of Technology preprocessing data
Ali Baghayeri Shahrood University of Technology ADNI data analysis
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
Xiaoyu Bai Northwestern Polytechnical University Deep learning; MCI; AD
Yang Bai WHUT 123456
Wenjun Bai ATR dynamic effective connectivity
Paul Baiju AERO AI
Abhijith Bailur SJCE Mysore MRI
Paul Baird Centre for Eye Research Australia, University of Melbourne AMD, genome wide, interaction
Zhang Baiwen Beijing University of Technology AD, MCI convert
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
Akhil Bakhshi KCL Schizophrenia
mahdi bakhshi iran brain
Arnold Bakker Johns Hopkins University Entorhinal Cortex
Kavitha Bakshi Ryerson Medical Machine Learning
Abhishek Bal Calcutta University PET datasets, brain
Rukku Bala Ericsson Inc. dementia, alzheimers, mri, ai, clinical data
PAVITHRA BALA LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING ALZHEIMERS , EEG
mohammad Balabandian Iran university medical sciences alzheimer
Helena Balabin Fraunhofer Scientific Computing and Algorithms Institute (SCAI) Machine Learning, Multimodal Classification
Andrea Balado qubiotech PET, MRI, quantification
Chetan Balaji CIT Gubbi Alzheimer's and Parkinson's Disease
Vibha Balaji IISc Computational analysis
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
Marcos Balle Universidad Politécnica de Madrid T1, DTI, MCI, AD
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
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
Abhijit Banerjee Dr. B C Roy Engineering College, ECE Deep Learning, Classification
Ji-In Bang CHA Hospital neuroimaging
Seojin Bang Carnegie Mellon University longitudinal; multimodal; clustering; machine learning
Katherine Bangen University of California, San Diego vascular risk, cerebral blood flow, amyloid
Pan Bangquan SUN YAT-SEN UNIVERSITY Multimodal method; Medical imaging
Waqas Bangyal University of Gujrat(UOG), Gujrat, Pakistan Deep Learning; Brain MRI Classification, 3D-CNN;
Timothy Banh University of California, San Francisco MCI, disease progression
Mehri Baniasadi University of Luxembourg MRI segmentation
Rana Banik Vanderbilt University Medical Image Synthesis, Inhomogeneity study
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
SANCHIT BANSAL the university of hong kong -
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
YIWEN BAO University of Hong Kong amyloid-PET
Lu Bao Nanjing Normal university Functional data analysis,FPCA,Block-wise missing data,Data imputation
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
Michael Barbine Kinometrix Inc. Health, Personalized Health, IPHA
Jordan Barbone West Chester University Independent, personal use
Adriano Barbosa da Silva Queen Mary University of London Machine Learning, Artificial Intelligence, Prediction
Steven Barger University of Arkansas for Medical Sciences amyloid, PIB, florbetapir, prescription, drug
IOANNIS BARGIOTAS ENS CACHAN Control, Alzheimer,PET images
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
Josephine Barnes UCL Institute of Neurology hippocampus, whole brain
Jude Baroudi University of Pittsburgh Alzheimer’s, Neuroimaging, Artificial Intelligence, Medicine
Sandra Barral Columbia University GWAS plasma beta amyloid
Hannia Barrera University of California Davis Brain, health equity, minority groups
Olivier Barret CEA Normalization, ATLAS
Matthew Barrett University of Virginia School of Medicine Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
Kathryn Barrett The University of South Carolina Extra Credit
Muhammad Hablul Barri Telkom University alzemier
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
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
Nauman Bashir COMSATS UNiversity Islamabad XAI; Deep learning; Automatic diagnostic; Concept
FAROUQ SADIK BASHIR DIT UNIVERSITY Alzheimer
Usman Bashir St Barts Hosptal CNN
Rodrigo Basilio IDOR DNN Machine Learning
Natalia Basimova Moscow Institute of Physics and Technology Convolutional Neural Nets, multiclass classification, regression models
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
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
Veeky Baths Birla Institute of Technology & Sciences, K. K. Birla Goa Campus Cognitive diseases, Computational Neurosciences
Richa Batra Weill Cornell Medicine PRS, Metabolomics
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
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
Helen Beaumont University of Manchester diffusion DOC atlas
Lino Becerra Invicro asl, cbf
Laurel Beckett UC Davis Biostatistics
Joanne Beer University of Pennsylvania Perelman School of Medicine imaging, multi-scanner
Simone Beer Forschungszentrum Juelich quantitative PET
Mirza Faisal Beg Simon Fraser University MR, LDDMM, segmentation, registration, statistical shape analysis
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
Tina Behrouzi University of Toronto GSP for brain mapping
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
David Belinsky Stony Brook University Computer Vision, GAN
Vincent Beliveau Medical University of Innsbrucl n/a
Samantha Bell Cleveland Clinic - Lou Ruvo Center for Brain Health dementia, Alzheimer's, hippocampus, aggression
Maura Bellio University College London graphic user interface; MRI; disease progression models; neurodegenerative
Luis Beltran-Parrazal Universidad Veracruzana SVM-REF
Fu Ben Zhengzhou Univerisity Multimodal deep learning;Early diagnosis
amira ben rabeh tunis Alzheimer , CAD
maissa ben soussia UNC PET
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
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
Julia Benoit University of Houston Alzheimer's disease, clinical trial methods, prediction
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
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
Cosmin Bercea Helmholtz AI Anomaly Detection, Federated Learning
Maurizio Bergamino Laureate Psychiatric Clinic & Hospital DTI; GQI; structural connectivity; prediction model
Miles Berger Duke University Medical Center proteomics, CSF, Alzheimer's disease, MCI, cognition
Derek Berger St. Francis Xavier University brain-extraction, skull-stripping, CNN, U-Net
Visar Berisha Arizona State University Machine learning models, repeatable composites
Michael Berman Hadassah Academic College CT, MRI, Ultrasound, Imaging reconstruction, Deep Learning
Jose Bernal The University of Edinburgh Atrophy, Longitudinal
Rachel Bernier UC San Diego sex differences; Alzheimer's disease; tau
Rachel Bernier UC San Diego sex differences; Alzheimer's disease; tau
Olivia Bernstein University of California, Irvine prediction, biased sample, clinical trials
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
Maxime Bertoux Inserm Alzheimer, ATN
Lars Bertram University of Luebeck GWAS, EMIF, QTL, PGS
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
William Bevis University of WIsconsin, Madison UI UX
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
Nikita Bhanot National institute of technology, Jalandhar (INDIA) alzhiemer, neural network, machine learning
Pradyumna Bharadwaj The University of Arizona MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID
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
Varsha Bhat WorldServe Image processing
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
Atanu Bhattacharjee Tata Memorial Centre Joint longitudinal modeling, time to event data, biomarker
SATARUPA BHATTACHARJEE UC DAVIS Analyze, Statistics
Debanjali Bhattacharya International Institute of Information Technology Bangalore Texture, shape, volume
ARINJITA BHATTACHARYYA University of Louisville shrinkage, logistic regression, variable selection, prediction
Sudeepa Bhattacharyya Arkansas State University metabolomics, neuroimaging
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
Cheng Bi Chinese Academy of Sciences Medical image analysis; Artificial intelligence
Hanwen Bi Columbia University Functional connectivity, VAE
Xin Bi Northeastern University brain network, fMRI, Alzheimer's Disease
Qiuhui Bi Beijing Normal University DTI,metabolism,aging
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
Wajiha Bibi Aston University biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement
Ayesha Bibi University of Gujrat Alzheimer's disease
Abhinav Bichal Att intern Machine learning model, Biomarkers, Correlations, Data Scientists
Amen Bidani IDeTiC Alzheimer's, Machine Learning
Ricardo Bigolin Lanfredi University of Utah Visual dataset explanation, regression, adversarial training
mahtab bigverdi sharif university of Technology diagnosis method dataset
Murat Bilgel National Institute on Aging FDG, amyloid, DTI, MRI, atrophy, longitudinal
Ali Bilgin University of Arizona WMH, segmentation, deep learning
Benjamin Billot UCL segmentation, volumetry analysis
Reem Bin Hezam Dublin City University dementia, modifiable risk factors
song binbin Donghua University studying master;Alzheimer's disease
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
Joseph Bishop Anthem Inc Classification Machine Learning
David Bissig OHSU retina, ocular
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
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 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.
Ester Bonmati University College London coursework;matlab;
Brian Booth University of Antwerp MRI atlases, image registration, metric learning
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
Alexandre Bortoli Stanford Tau ; prions ; AD
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
Anirban Bose Chennai Mathematical Institute Topological Data Analysis
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
Salma Bougacha INSERM Alzheimer, spreading, tau, connectome
Wafa Boukellouz university of ferhat abbas setif MRI, CTm prediction
Olga Boukrina Kessler Foundation education; statistics, proportions, frequencies
Pierrick Bourgeat CSIRO ICT Centre Segmentation, registration, longitudinal study
Jessica Bourgin Université Savoie Mont Blanc Amygdala; Attentional network
Jessica Bourgin Université Savoie Mont Blanc emotion; attention; amygdala
Younes Bouterfa Uclouvain AD, Detection, CNN, MRI
thebti Boutheina Monastir neuro imagerie, alzheimer disease, multiple sclerosis
Emily Bove Cogstate Cogstate
Zheng Bowen Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences Deep Learning
Daniel Bowgett Northumbria University joint models, improved discrimination, biomarkers
Serdar Bozdag University of North Texas machine learning, data mining
Andrea Bozoki Michigan State University FDG-PET; PIB-PET; Alzheimer's disease
Jeffrey Brabec University of Vermont NetWAS, PheWAS, CNNs, Derived-phenotypes, Canonical Correlation Analysis
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
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
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
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
Rachel Brouwer UMC Utrecht longitudinal brain change, GWAS
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
Shael Brown McGill Connectome harmonics, Manifold learning
Thad Brown Personal Interest pydicom
Chiara Brück ErasmusMC Microsimulation modelling; Public health; Dementia; Epidemiology
Sarah Brueningk ETH Zurich Interpretability, machine learning, risk prediction
Divya Brundavanam Karolinska Institutet predictive modeling, multimodal MRI
Iva Brunec University of Toronto Hippocampus, Memory decline, fMRI
Irene Brusini KTH Royal Institute of Technology Structural MRI, segmentation, deep learning, shape analysis
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
Hara Govinda Sai Praneeth Bugata Indian Institute of Technology, Tirupati Personalized Model, Bioinformatics, Machine Learning
Duc Toan Bui Sungkyunkwan University synthetic image, cycleGAN
Duc Toan Bui Sungkyunkwan University GAN
Minh Bui Thuy Loi University Minh Bui
DANH bui hufi DNN
Bao Bui Ngoc Jeonbuk National University Computer Vision, pattern recognition, segmentation
Luna Buitrago SUNY Downstate Medical Center Sphingosine-1-phosphate
Sayed Ali Raza Shah Bukhari Jamil ur Rahman Ceter for Genome Research Mitochondrial Genomes, Alzheimers
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
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
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
Gonca Buyrukoglu Karatekin University ANN, Random Forest
Calin Buzea IFT medical physics
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
Gihwan Byeon Seoul National University Hospital Alzheimer, neurodegeneration, homocysteine
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
C C c c
Sreelakshmi C htic Deep learning
safna c a CUSAT Gene expression data
Ricardo Alonso Caballero Luna Universidad de Monterrey MCI, AD, CONVERSION
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
Ylermi Cabrera-León Universidad de Las Palmas de Gran Canaria Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
Maria Caceres Universidad Catolica Boliviana "San Pablo" Alzheimer
Xavier Cadet Imperial College London Machine Learning, Dementia
Frederic CADET University of La Reunion Machine Learning, Biochemistry, Genomics
Samuel Cahyawijaya HKUST deep neural network, alzheimer disease, sequence modeling
Fanco Cai CQ 1
erik cai wenzhou university multimodal neuroimaging
Shangyu Cai Szu University AD FMRI
Hailin Cai Chongqing University AD,
Chunting Cai Xiamen Univeersity cct724724
Lingrui Cai Ann Arbor Algorithms autoencoder, unsupervised learning, feature extraction
Congbo Cai Xiamen University Image reconstruction, Multimodal image, Deep learning
bingyang Cai SJTU AD MRI PET
Jiahui Cai stu AD
Jinhua Cai Sun Yat-sen Memorial Hospital, Sun Yat-sen University lipids, apolipoprotein, cognition
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
Ryan Cali UMass Medical School Alzheimers, Machine Learning, Neuroscience
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
Frederic Calon Universite Laval Alzheimer
Noelia Calvo Universidad Nacional de Córdoba cognitive reserve bilingualism aging
Eduardo Camacho UPV Artificial Intelligence, lesion segmentation
Aldo Camargo University of Maryland of Baltimoree Longitudinal study,ASL, PET-FDG,
Alex Campbell University of Cambridge deep learning, machine learning, fmri, diagnosis, unsupervised
Kylie Campion University of Wisconsin-Madison Tau and beta
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
Juan Cano Uniandes Machine learning, Diagnoses
Antonio Cano Montes ULisboa medical deep learning
Jose L. Cantero Pablo de Olavide University sleep2019
Yan Cao University of Texas at Dallas image analysis
Jiguo Cao Simon Fraser University brain network, QTL mapping
yingli cao Jiangnan University study
Jiahang Cao Beihang University 区块链
Xuan Cao University of Cincinnati sMRI, fMRI, radiomics, generalized linear models
Bo Cao University of Texas Health Science Center at Houston Machine learning
Xuexiang Cao Philips Alzheimer, deep learning
Jiahang Cao Imperial College London Alzheimer's disease, deep learning
Guanqun Cao Auburn University functional data, ADNI
weifang cao shandong first medical university aging neuroimaging
Bing Cao university of north carolina at chapel hill medical image synthesis
Jiahang Cao Beihang University deep learning model
Lingcan Cao Xi'an Jiaotong University brain network dynamics, default mode network
DANIEL CAPON BLOOD SYSTEMS RESEARCH INSTITUTE protein engineering, antibodies, amyloid beta, biomarker
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
filippo carducci university of rome PET AD
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
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
Sarah Carr Case Western Reserve University amyloid, POSET
Thomas Carr University of East Anglia / Norfolk & Norwich University Hospitals Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
Valerie Carr San Jose State University teaching
Minerva Carrasquillo Mayo Clinic CAA, neuroimaging, intracerebral hemorrhage, GWAS
ANGEL CARRILLO BERMEJO INSTITUTO DE INVETSIGACIONES EN MATEMATICAS APLICADAS Y EN SISTEMAS DEEP LEARNING
Fernando Carrió Argos Instituto de Física Corpuscular - University of Valencia Deep Learning, Super Resolution, FPGA
Caitlin Carroll Wake Forest School of Medicine glucose metabolism, Alzheimer's
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
Jake Carus Biogen Symposium
Emily Carvajal Universidad del Valle preprocessing, standarization
Vítor Carvalho IF SUDESTE MG MRI Image, Machine-learning, Alzheimer's Disease
Alexandra Carvalho Instituto Superior Tecnico Time series analysis
Sofia Carvalho Universidade do Minho neuroimaging, mri, alzheimer, prediction
Greg Cary Jackson Laboratory genetic association, drug targets
Adrià Casamitjana Universitat Politència de Catalunya PhD, machine learning, bioengineering, early stage of AD
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
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
Kyra Cebula University of Manitoba brain imaging
Emilio Cecchini Univerity of Florence deep learning,machine learning,3d,classification
Gaffari ÇELİK Ağrı İbrahim Çeçen Universitesi Alzheimer’s Disease, Deep Learning
William Ceriale University of Washington Machine Learning, Neural Network, Alzheimers
Stefano Cerri DTU segmentation atrophy
Ricardo Cerri Federal University of Sao Carlos machine learning, SNPs, Alzheimer Disease
Tess Cersonsky Brown University AD Risk, Machine Learning, Predictive Modeling
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
Pavan Chaggr University of Oxford Alzhiemer's, morphology, degeneration
Kalayanee Chairat King Mongkut's University of Technology Thonburi GWAS
SABYASACHI CHAKRABORTY Inje University Alzheimer, Parkinson
ADITYA CHAKRABORTY UNIVERSITY OF SOUTH FLORIDA STATISTICAL MODEL, Alzheimer's disease,
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
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Eldon Chan University of California, Berkeley Deep Learning, Alzheimer's Recognition and Prediction
Jason Chan University of Calgary Gene expression, amyloid, tau, neurodegeneration, PET, MRI
Elaine Wan Ling Chan International Medical University SVM classifier for the determination of progressive deterioration of AD
Kannie WY Chan City University of Hong Kong; The Johns Hopkins University School of Medicine MRI, AD, deep learning
Yi Hao Chan Nanyang Technological University Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets
Huang Chan-Yi Acer Brian MRI
Steven Chance Oxford brain diagnostics MRI, DTI, AD, MCI
Ganesh Chand Washington University in St. Louis T1 weighted MRI, cognitive scores
Mayurakshi Chanda National Institute of Technology Silchar Deep learning, Neural network
Tirtha Chanda University of Magdeburg, Germany disease
Maya Chandar Canterbury School Alzheimer's Disease, mild cognitive impairment, neurodegeneration, algorithm
Trevor Chandler Artificially Intelligent Alzheimer’s, Amyloid, Memory, Brain
Hannah Chandler Cardiff University MRI PET genetic risk
YASHVI CHANDOLA GBPIET ALZEIMER DISEASE, CAD SYSTEM
Avinash Chandra King's College London Alzheimer's disease; amyloid; tau; genetics
Subhadeep Chandra National Institute of Technology, Durgapur CNN
Harish Chandran Griantek correlation analysis, linear discriminant analysis, brain multiplex
Changgee Chang University of Pennsylvania integrative analysis, multi-task learning
HanI Chang Ajou AD
Ze Chang huazhong university of science and technology diagnosis
Jeryn CHang The University of Queensland Hypothalamus; BMI; DWI
QU chang Hebei University of Technology Dysfunction and stemness of tumor-infiltrating T cells are triggered by a common
Ya-Hsuan Chang University of Kentucky Data analysis
RUI CHANG University of Arizona Alzheimer's, Sex difference
Minyu Chang Cornell University Fuzzy-trace theory; factor analysis
ali chang Advantech alzheimer
Hui-Ming Chang Chung Shan Medical University VBM/AD
Timothy Chang University of California, Los Angeles Rare variant analyses, genetics, whole genome sequencing
Jose Chang Irias Halmstad University Convolutional nueral networks, Lewy body dementia, dementia detection
Monir Changizi Shahidbeheshti university sleep,insomnian,alzheimer's disease,dementia
RYU CHANJU BUNDANG CHA HOSPITAL Deep learning
wang chao Fujian Medical University brain regions; Alzheimer's disease
Li Chao Beijing Jiaotong University Incompletion Multi-model Data learning,Missing Data Completion
Li Chao Institute of Automation, Chinese Academy of Sciences early stage, classification, MCI, AD
suo chao xiangtan university Due to low intensity contrast around ROI boundary and large inter-subjectvarian
wang chao fujianyikedaxue study; Alzheimer's disease;clinical manifestations
bu chao DONGHUA UNIVERSITY AD
wang chao North University of China Wl940414.+0
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
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
Snehashis Chatterjee university of calcutta 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
Ganesh Chauhan Centre for Brain Research, Indian Institute of Science cerebral small vessel disease, genome wide association, vascular risk factors
Laurent Chauvin Ecole de Technologie Superieure Local Features, Subject Identification
Shital Chavan SITS MRI,CT,AD,MCI
Stylianos Chazichronis National and Kapodistrian University of Athens Alzheimer's disease, Supervised learning, AD development
Yanqiu Che Penn State College of Medicine MRI; Alzheimer's Disease; Machine Learning
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
Christel Chehoud Janssen Deep Learning
hongyu chen shanghai Nyuen fMIR, GCN
Chao Chen Stony Brook University Image analysis, deep learning.
Xu Chen SAS Inc Machine Learning
Battle Chen FZU multi-modal
Gavin Chen Tianjin University of Technology and Education czc960229
qiang chen Donghua University segmentation
Jinxin Chen Chengdu University of TCM alzheimer,sleep disorders,fMRI
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Dongxuan Chen Southeast University brain,classifier
HongGuai Chen NCU BDBC-2020
hu chen Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch 3D convolution,saliency maps,
xiaotong Chen huashan hospital of fudan university Alzheimer's disease; biomarker; blood-based
Irene Chen MIT machine learning, subtypes, disease progression
Li Chen University of Washington Image processing
Siying Chen BUAA university study
Baolin Chen Shanghai Uiversity of Finance and Economics functional data analysis, samples of density functions
yaru chen Jiangsu university Health analysis
Bocheng Chen huazhong university of science and technology graphic analysis, PET
Meng Chen Southeast University early diagnosis
Zihao Chen Shanghai Jiao Tong University MCI AD predicting model
Hao Chen Shandong University of Finance and Economics Brain Network Analysis, Alzheimer's disease, Classification
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
Zhi Chen University of Electronic Science and Technology of China computer vision, neuroimaging recognition, classification
Qingmeng Chen Tokyo Medical and Dental University DTI, 3D-T1, Multiple sclerosis
Eric Chen Indiana University School of Medicine Tau, Braak regions, PET
Yuhang Chen University of Science and Technology of China littlebear888
saiyuan chen 重庆邮电大学 study
YINGJIA CHEN Genentech safety
EDDIE CHEN Stony Brook machine learning, AI, MCI, AD
Liang Chen University of Macau miRNA, biomarker
Dong Chen Southeast University cdx314159
Jinyang Chen University of Georgia Deep Learning, Machine Learning, Disease Diagnosis, Classification
JIANGWANG CHEN SUNY BUFFALO MRI
GUILIAN CHEN SHENZHEN UNIVERSITY unsupervised segmentation
wuyang chen Central South University multimodal,registration
Huimin Chen Beijing Tiantan Hospital, Capital medical university cognitive impariment, perivascular space, Abeta/tTau
Guan Wen Chen NTHU Alzheimer
Lihui Chen Sichuan University Academic study
Li Chen Indiana University School of Medicine GWAS, functional analysis, meta-analysis
huachang chen Vanderbilt University Medical Center imputation; methodology; evaluation; bioinformatics
wu chen Huazhong University of Science and Technology image processing
Lin Chen Johns Hopkins University MRI, PET
Qiufeng Chen Fujian Agriculture and Forestry University/China functional connectivity
fangyi chen Hebei University of technology classification tasks
junchao chen Beijing University of Astronautics cjc20011224
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Ling Chen Zhejianglab Graph convolutional network
Rong Chen University of Maryland School of Medicine machine learning
Keyu Chen Liaoning Normal University Resting state; dynamic; fMRI; Classification
Xi Chen University of Rochester Medical Center APOE
Yu-An Chen National Yang-Ming University Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Fang Chen jackson state university image deep learning Alzheimer's
Danni Chen UCLA deep learning, medical imaging, explainable AI, attention model
Qian Chen Nanjing Drum Tower Hospital Subjective memory complaint, Neuroimage, Biomarker
Lele Chen Nanjing University fmir, lifestyle, AD, Comorbidity, brain network
Yanghaoyu Chen UF Machine learning
Ke CHEN University of Nottingham machine learning, early diagnose
Mingzhu Chen Fudan University, Shanghai, China computer-aided medical image analysis
Yu-Chi Chen Monash University cortical morphology, machine learning
Chang Chen Nanjing Drum Tower Hospital, Medical School of Nanjing University neurologist
Chang-Le Chen National Taiwan University College of Medicine Diffusion MRI, White matter, Fiber cross-section
Jiu Chen Nanjing Medical University AD, aMCI, DTI, sMRI, fMRI
changhao chen National Central University CNN SVM LR
Mingzhu Chen Fudan University, Shanghai, China computer-aided medical image analysis, algorithm
Bingxu Chen UCSD Image Co-registration
Xiao Chen Beijing Normal University Alzheimer’s disease,defalut mode network
Yanxi Chen Arizona State University GWAS
Tianyi Chen University of Sheffield cj18954310106
Yingchuan Chen Beijing Tiantan Hospital PD, fMRI, machine learning
Xinqi Chen Guangdong University of Technology computer vision, generative adversarial networks, synthesis of medical images
Jun Chen University of Michgan data fusion
William Chen MagQu LLC Longitudinal study, differentiate diagnosis, neurodegenerative diseases
Fangzheng Chen Shanghai Jiaotong University School of Medicine Ruijin Hospital cognition AD
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Xu Chen University of North Carolina MRI segmentation
durong chen shanxi medical university Parkinson
Dingfan Chen max planck institute for informatics Anomaly detection, deep generative model
Gengsheng Chen Washington University in St. Louis amyloid, gwas
yulong chen zhengzhou university MRI hippo subfeild segmentation
Yu Chen Central South University Do some researches about the AD
liangming chen Lanzhou University neural network, deep learning, Alzheimer
Hanyi Chen University College London subtype, disease progression, SuStaIn, AD
Tianhua Chen University of Huddersfield fuzzy systems, convolutional neural network, clinical decision support
Xin Chen Shanghai East hospital, Tongji University, School of Medicine Neurodegeneration, Alzheimer,cognitive impairment
Yihe Chen Second Affiliated Hospital,Zhejiang University School of Medicine perivascular space
Xiao Chen Amy Medical University, Daping Hospital Amyloid PET, Alzheimer’s dementia, Amyloid staging
Xiaocong Chen The University of New South Wales Early Detection, Machine Learning
Ziliu Chen Guangzhou University of Chinese Medicine Aizheimer
Ting-Huei Chen Laval University structural equation modeling
Xin Chen University of Nottingham Longitudinal image feature extraction; disease diagnosis.
Gang Chen Medical College of Wisconsin fMRI, MRI
jiaao chen Queen's University research
Junjie Chen Temple University computational methods, integrative analysis, casual factors
Kefan Chen university of sydney Alzheimer's patients
Yiming Chen University of Maryland neural network
Xiang Chen University of Leeds Image Registration, Deep learning
Xiaozheng Chen Xiamen University neuroimaging, dynamic functional connectivity, deep learning,
Qianyun Chen The Chinese University of Hong Kong deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Haifeng Chen Affiliated Drum Tower Hospital, Nanjing University Medical School memorry function; rTMS; multimodal neuroimaging
Sherry Chen The University of Sydney Frontotemporal dementia, longitudinal, neural correlates, cognition
sijie chen Yitu healthcare technology AD, classification, CNN
Tao Chen Wuhan University Alzheimer’s Disease, visual features, MRI
Yuanyuan Chen Northwestern Polytechnical University Alzheimer’s disease; Mild cognitive impairment;Deep learning
Li chen national university of defense and technology 8722471
Yuzhong Chen UESTC CNN AD
Sophie Chen Beijing University of Technology fMRI classification
Keping Chen Southeast University AD; circular RNA
Huan Chen Johns Hopkins Bloomberg School of Public Health FDR control, variable selection
Lin Chen Johns Hopkins University MRI, PET
Shuo Chen National Innovation Institute of Defense Technology deep learing, super resolution, medical imaging
Shuang-Qing Chen the Affiliated Suzhou Hospital of Nanjing Medical University Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning
Chen Zi Yang Chen Zi Yang Guangdong University of Technology ADNI ; GAN; image segmentation
YYUAN CHENG JILIN UNIVERCITY DATASET
Weili Cheng North China University of Water Resources and Electric Power Time-dependent ROC curves with missing biomarkers
Jiaqi Cheng University of Canterbury CNNs model interpretability
Ruida Cheng NIH brain segmentation and classification
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
Iris Cheng Brown University Alzheimer's, sex, apoe, cognition
Chenganen Chenganen GuangDongBaiYun University ADNI; FCN; GAN; predict
Tanya Chenhall Cogstate Cogstate
Zhang Chenlin Southwest University of Finance and Economics 010101icy
chenpeng chenpeng The First Affiliated Hospital of Guangxi Medical University ASL,fMRI,Cognitive impairment
Li Chenping Central South University Alzheimer's disease
EUNJEONG CHEON Daegu university dementia, biomarker
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
deng chijun University of Electronic Science and Technology of China fmri
Junichi Chikazoe National Institute for Physiological Sciences fMRI, MVPA
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,
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
YOGITA CHITRIV Yeshwantrao Chavan College of Engineering, Nagpur Brain Image, Alzheimer, Segmenation, Classification
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
hyugrae cho samsung electronics AI, machine learning
HyungJin Cho University of Southern California Alzheimer's Disease Neuroimaging Initiative (ADNI)
Youngjoo Cho The University of Texas at El Paso Survival analysis, Prediction models
Patricia Chocano-Bedoya Bern Institute of Primary Care metabolomics biomarkers dairy cognition
Sandra Chocron UT Health San Antonio ceramide catabolism
Mark Choe NCIRE Imaging, Processing
Young Min Choe Dongtan Sacred Heart Hospital Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
LEE CHOEL HUI Korea University Alzheimer's disease
byung hyug choi KAIST / korea machine learning, network embeddings, Alzheimer feature extraction
Tae-Min Choi KAIST Deep learning, classification, early diagnosis
James Choi Sabio Research Alzheimer Machine Learning Neural Networks
Woo Hee Choi College of Medicine, The Catholic University of Korea striatum, amyloid PET, tau PET
Seo-Eun Choi University of Washington Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
hyujin choi korea university hyunjin
Kyu Sung Choi Korea Advanced Institute of Science and Technology (KAIST) follow-up
Eun Young Choi Stanford University thalamus, rsfMRI
Yong-Ho Choi hanyang university Imaging genetics
Junsik CHOI Korea Univ. Deep learning
Yoon Seong Choi Severance Hospital, Yonsei University College of Medicine Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Sunghoon Choi Korea Research Institute of Standards and Science Generative adversarial network, synthetic PET
Yu Yong Choi Chosun University Hospital ethnic differences, normal aging
duck ho choi Sung Kyun Kwan Univ. Alzheimer
Anthipa Chokesuwattanaskul King Chulalongkorn Memorial Hospital Alzheimer's disease, mild cognitive impairment
Shin Wee Chong Carl-von-Ossietzky Universität Oldenburg Advance longitudinal modeling, structural equation, bidirectional relationship
chee keong chong University Teknologi Petronas CNN, deep learning, classification,
Jill Chotiyanonta AnatomyWorks, LLC Brain MRI, Neuroanatomy, Segmentation
Yu Wen Chou National Chin-Yi University of Technology Deep learning
Hsiang-Chin Chou Massachusetts General Hospital SEX, 18F-Flortaucipir (FTP)-PET signal, Abeta-PET
zheping chou First affiliated hospital of Suzhou University multi-modal imaging markers cognitive decline.
SOURABH CHOUBEY Indraprastha Institute of Information Technology Delhi Detection, Machine Learning, Diagnosis
Amit Choudhari Tata Memorial Hospital dti
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Ioanna Chouvarda VTT network analysis, causality
Samadrita Chowdhury University of Massachusetts,Lowell Graphs, CNN, PET, FMRI
Luke Christenson Mayo Clinic Data, MRI, PET
FOTEINI CHRISTIDI ADVANTIS MEDICAL IMAGING multimodal neuroimaging; ageing; dementia; neurodegeneration
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
Chu Yang Chu China Jiliang University Research, learning
Nan Chu National Central University/CWLab International brain image data bank, AI analytics, neurotechnology
Wang Chu Nanjing University of Science & Technology imaging data
Winston Chu University of Florida diffusion MRI, AD, free water, basal forebrain
michelle chua Melbourne Heath alzheimers
Russ Chua Institute for Infocomm Research computer vision
Adichan Chuajinda Siriraj hospital Dementia risk
jayrajsinh chudasama Birla Vishvakarma Mahavidyalaya dataset mri image with label
Evgeny Chumin Indiana University-Bloomington connectivity, tau, graph theory.
Timothy Chun Veteran's Affairs Machine Learning
Ina Chun n/a CNN, visualization, deep 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
Ming-Hua Chung Radiologics resting state fMRI DICOM
Jaeyoon Chung Boston University School of Medicine GWAS CSVD stroke ICH
Yunro Chung Arizona State University Biostatistics; biomarker
Hyun Jy Chung Stony Brook University FWER
shi chunlei Beijing Normal University Machine Learing,Hidden information
Tang Chunyan The second affiliated of Chongqing Medical University tcy972626
jiang chunyu NEU jcyypbed627!
YJ CHYU Brain institue Thank you
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
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
David Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Albert Clèrigues Universitat de Girona atrophy, pbvc
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
Cynthia Cohen California Southern University Alzheimers
Brett Cohen King's College London MCI, MRI, phantom
Carl Cohen SUNY Downstate Medical Center Alzheimer's disease; cognition, course trajectory
Melanie Cohn UHN - Toronto Western Hospital Basal Forebrain
James Cole Imperial College London Aging, Machine learning, T1, DTI
Diego Collazos-Huertas Universidad Nacional de Colombia sede Manizales Deep Learning, Convolutional Neural Networks, Data Representation
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
David Collier Eli Lilly and Company Ltd Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s
Robert Comley Abbvie inc PET, MRI
Zhen Cong Dalian University of Technology Image Translation
wamg congcong anhuidaxue Visual medicine
yin congfeng Tsinghua University experiment, deep learning models
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
Maria Constantinou University of Cyprus MRI, resting state fMRI, deep learning
Cat Conti NCIRE admin core
Shanna Cooper UCSD tau, NPS, cognition
Shanna Cooper VA San Diego / UC San Diego NPI, family history
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
Ana Sofia Costa University Hospital RWTH Aachen amyloid deposition, microangiopathy, microbleeds, phenotype, progression
Bruno Costa USP CNN
Gabriele Costante University of Perugia RNN AD PET
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.
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
Ivor Cribben University of Alberta Networks; Longitudinal networks; Resting state
Alessandro Crimi University of Zurich radiogenomics
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
Hugo Cruz-Suárez Benemérita Universidad Autónoma de Puebla Big Data, Hidden Markov Models, Stochastic optimization
Math Cuajungco California State University Fullerton Neuroscience
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
xiaonan cui hangzhou dianzi university one class classification
Dong cui 1978 cd_ggh100200
Licong Cui The University of Texas Health Science Center at Houston Informatics tool, ontology, hypothesis generation
kunpeng cui ZhengzhouUnivercity medical image registration
Jing Cui GSK endophenotype GWAS, subtype AD
JIANAN CUI Massachusetts General Hospital medical image processing
Nicholas Cullen Lund University plasma
Kamryn Cullen George Mason University Biomarkers, Data Analytics, Health Factors
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
Scott Curtis Newcastle University Machine Learning, Deep Learning, Undergraduate, Dissertation, Research
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
Saai Sudarsanan D SASTRA Deemed to be University, Thanjavur Data Analytics, CNN Algorithms, Machine Learning, GatesNotes
ty d Shanghai Maritime University fMRI
SRUTHI D S TKM College of Engineering Kollam multi-modality diagnosis
Federico D'Agata University of Turin hippocampus; machine learning
Giovanni D'Ambrosio University of Guelph Impact, MRI,
Bendan Da Beijing University of Technology Alzheimer's Disease
Arthur da Silva Neumann Universidade Federal do Rio de Janeiro biomarkers, plasma, CSF
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
yousra dahdouh fst image medical,biomarquer
Robert Dahnke University Aarhus gyrification
Xiangwei Dai Beijing Normal University amyloid deposition, grey matter
Peng Dai Ryerson University deep learning, LSTM, explainable AI
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; structural connectivity
Zongyu Dai University of Pennsylvania Missing data imputation
Zhengjia Dai Sun Yat-sen University Alzheimer's disease; functional connectivity; model
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
huy dang Penn State University functional data, spiky data, function estimation
jiajun dang qiqihaerdaxue 数据
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Ebenezer Daniel City of Hope MRI
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
GOWHAR DAR LOVELY PROFESSIONAL UNIVERSITY PUNJAB CNN,DEEP LEARNING,AUTOMATED
Rayees Dar Islamic University of Science and Technology CNN, Deep Learning, Artificial Intelligence, Medical Imaging
SUHAIL AHMAD DAR Aligarh Muslim University Alzheimer's, MCI, Deep Learning , Diagnosis
Sumanth Dara University of California Riversid MRI, Substantia Nigra, Locus Coeruleus, Machine Learning
Sajad Darabi University of California, Los Angeles Machine Learning, Heterogeinity, Clustering
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
Oscar Darias Plasencia Universidad Internacional de La Rioja Alzheimer, machine learning, artificial intelligence
Caroline Dartora PUCRS Brain Connectivity, Alzheimer's Disease, MRI, PET
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Ayantika Das HTIC,IITM Classification of brain MRI
Sandhitsu Das University of Pennsylvania hippocampus MCI
Priya Das Kalinga Institute of Industrial Technology biomarker, machine learning, MRI, AD
eashita das Dr. Eashita Das data mining, analysis
Shikta Das C4X Discovery genomics, taxonomy 3, whole genome sequencing, genome-phenome analysis
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
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
Deana Davalos Colorado State University TBI, biomarkers, dementia, pathological aging
Christos Davatzikos University of Pennsylvania classification, MCI, conversion to AD
Alice Davies University of Birmingham neuroimaging, dementia, machine learning
Cintia Davila Rodriguez Illinois Institute of Technology deep learning classification
Wade Davis FAU MTL, EMCI
Andrew Davis University of Bath clinical progression
Ragavamsi Davuluri Gudlavalleru Engineering College Alzheimer
Neil Dawson 1974 Biomarkers, Neuro degenerative Diseases,Cellular Death
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
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
Raelynn de la Cruz Cleveland Clinic Nevada dementia, Alzheimer's, hippocampus, aggression
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
Fernando de Natali Frascá Universidade Federal de São Carlos - UFSCar segmentation, medical images
Lorenzo De Rosa universita di Siena PBVC/y_MCI_AD_MS
Micol de Ruvo Philyra UG Parkinson's, olfaction, machine learning
Susan De Santi Eisai Normal controls, Mild Cognitive impariment, biomarkers, cognition
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
Edson de Sousa Silva IESB Machine Learning Biomarkers Artificial Intelligence Deep Learning
Eduardo Felipe de Souza UFAL deep learning, medical imaging
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
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
Farzaneh Dehghani University of Esfahan Alzheimer's disease, deep learning
Hamed Dehghani Neuroimaging and Analysis Group (NIAG) machin learning, agnig, cognitive impairement
PRIYANUJ DEHINGIA ASSAM ENGINEERING COLLEGE Alzheimer's, Deep Learning
NILAM DEKA ASSAM ENGINEERING COLLEGE ALZHEIMERS DATASET
Martina Del Giovane Imperial College London dMRI, dementia, neuropsychiatric, neurodegeneration
Zoe Delaney The University of Sydney Machine Learning
José Micael Delgado Barbosa International Institute of Neuroscience Brain, Blob Analysis, Active Contour based
Andrea Dell Orco Charite Berlin wmh
Stefano Delli Pizzi Univesity of Chieti-Pescara Alzheimer's Disease, Biomarkers
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
Shiling Deng Chongqing University of Posts and Telecommunications undergraduate thesis, academic usage
Simin Deng Tungwah Hospital of Sun Yat-Sen University Subjective cognitive decline
ANNAN DENG East China Normal University Classification; elastic net; functional logistic regression; Haar wavelets; PCA;
Yutong Deng ShenZhen University ASL;MRI
Tian Deng Sun yat sen university artificial intelligence,Medical image processing
mujiang deng Beijing University of Aeronautics And Astronautics deep learning model
Yatsen Deng Harbin Institute of Technology AD hippocampus morphological changes
Ianien deng Beijing University of Aeronautics And Astronautics dmj66622
ZhengZheng Deng Shanghai Brain Science and Brain-Inspired Intellegence data-mining, big data, Alzheimer's disease
lingling deng CSU AD
Zhenhong Deng Sun Yat-Sen memorial hospital, Sun Yat-Sen University Dementia; mild cognitive impairment; single nucleotide polymorphism; prognosis;
Rezwan Derakshan urmia university data mining
Thomas DeRamus GSU TReNDs Center Brainhack
Huseyin Derbent University of South-Eastern Norway Deep Learning, Convolutional Neural Networks, Alzheimer's Disease, Classifcation
Natan Derek Southern Taiwan University of Science and Technology FMRI, DEEP LEARNING
amine derra hassiba ben bouli AI
Hemal Desai St. Xaviers Alzheimer
pranav desai scet machine learning
Shekha Desai Vishwakarma Government engineering college Early detection of AD, ML approach for AD diagnosis
Amit Desai Mayo Clinic Dementia, atrophy, cinematic rendering
juhi desai In-Med Prognostics volumetric
Marie Deserno University of Amsterdam autism, neurodegenerative disorders
Yash Deshmukh University Of Keele research proposal only
Akshay Deshpande University of Queensland machine learning, artificial intelligence, healthcare
Antoine Désilets Université de Sherbrooke GPR3, GPCR
Anita DeStefano Boston University Alzheimer, genetics, association
Kacie Deters Stanford University genetics, imaging, cognitive decline
Vivek Devadas Banner Alzheimer's Institute Kewei Chen
Gabriel Devenyi Douglas University Mental Health Institute, McGill University MRI
uma devi bharathiyar University PET image
Virginia Devi-Chou Robert Wood Johnson Medical School Neurodegeneration, Alzheimer's Disease, Biomarkers, Progression
Alyssa DeVito Louisiana State University Multi-state modeling, APOE, cognitive decline
Denise Dewald University Hospitals Cleveland Medical Center sleep apnea, soft palate, tongue position
Blake Dewey Johns Hopkins University mri, ct, synthesis
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
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
Xin Di University of medicine and dentistry of new jersey connectivity, pet
Hao Di XJTU Result repeat
Francesco Di Lorenzo University of Sussex AD, functional conncectivity, ApoE, computational model, disease progression
Maria de Fátima Dias University of Coimbra Ageing, Deep Learning, Regression
Alisha Dias St. Francis Institute of Technology Detection, Stage, Alzhiemers
Mauricio Diaz Inria AD, Deep Learning
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
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
Andrew DiLernia University of Minnesota clustering, functional connectivity
Konstantina Dimaki Wentworth Institute of Technology Alzheimer's disease, prediction
Georgios Marios Dimakidis Ionian University Bioinformatics, Data Analytics, AD
yuhang Ding baidu download and study
Ke Ding 东华大学 Biospecimens、MRI、PET、Genetic
Chen Ding Shenzhen Institutes of Advanced Technology Chinese Academy of Science brain image
Changchang Ding Shanghai University PET;FMRI
Yuan Ding New York University For Course Project
Shaodong Ding Beihang University domain adaptation
jie Ding Nanjing Tech University ADNI data
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Ke Ding 东华大学 ADNI、MRI
Xiuhua Ding Western Kentucky University sleep Apnea, APOE, Amyloid-beta
Chen Ding Shenzhen Institutes of Advanced Technology Chinese Academy of Science brain image
Eduardo Diniz University of Pittsburgh image-to-image translation; deep learning; mr image synthesis
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
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
Zihe Dong IMPERIAL COLLEGE LONDON dzh880125
Zihe Dong Beijing University Of Aeronautics And Astronautics dzh880125
YIWEN DONG UCSF building database
Jian Dong Harvard Medical School PET, molecular imaging, amyloid, tau, machine learning, neural network.
Wei Dong China National Clinical Research Center for Neurological Diseases AD, genetics, autophagy, biomarkers, clinical characteristics
Ning Dong TEXAS tech university Alzheimer's Disease, Mild Cognitive Impairment, Machine Learning
qian dong chongqing university of posts and telecomunications ADNI
shuai dong Northeastern University MRI depression
Fan Dong Indoc Research data platform, imaging processing, neuroinformatics
Qunxi Dong Arizona State University Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry
JANG DONGGON KAIST Deeplearning
zhu dongming 云南大学 machine learning, prediction of AD
Luo Dongxia Sichuan University 19950913
Anita Donnelly Ulster university Machine Learning, Data Modelling
Michael Donohue Keck School of Medicine of USC ADCS
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
Ayush Doshi University of Virginia Spherical deconvolution, 3-tissue extraction, Deep learning
Gaelle Doucet Icahn School of Medicine At Mount Sinai resting-state networks, brain atlas, aging
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
Jonathan Drake Alpert Medicial School of Brown University VCAM-1, vascular risk factors
Derek Drake Harvard University AD
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
Andrew Drozdov University of Massachusetts Amherst alzheimer's
Jason Druzgal University of Virginia Basal forebrain; cognitive impairment; VBM
Polina Druzhinina Skoltech 3D CNN, classification
Jiao Du Guangzhou univerisity fusion
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
yongqi du Huazhong University of Science and Technology deeplearning classification fMRI
Averil DU ShanXi Medical University Aa123456
Shiyi Du Sichuan University Alzheimer,TADPOLE,student research,anomaly detection
mingyu du Beihang University 912811450
Yuhang DU He Bei University fmri
Qianqian Du Taiyuan University of Technology pet image reconstruction
Xiuli Du Nanjing Normal University Functional data analysis, Missing data
Yuhui Du The Mind Research Network; Shanxi University Biomarkers, Classification, Clustering
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Shiyi Du 四川大学 student research Alzheimer
YU DU Faculty of Science and Technology, University of Macau Alzheimer's disease, deep learning, segmentation
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 True Positive Medical Devices Inc. Biomarkers; Volumetry; Normative data
Simon Duchesne Université Laval Morphometry, MRI, multidimensional analysis
Kevin Duff University of Utah biological samples
Maya Duffy University of South Carolina Project, Statistics
Ben Duffy USC QC
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
carlos Dulanto universidad cesar vallejo neural nerwork
Maciej Dulewicz Medical University of Białystok, Poland AD
Felix Dumais Université de Sherbrooke AI, arteries, vascular
Julie Dumas University of Vermont tau, csf, hippocampus, biomarkers, MCI
Mihai Dumitrescu University Politehnica of Bucharest Homework
Logan Dumitrescu Vanderbilt University Medical Center Alzheimer's, genetics
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
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
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
Goktekin Durusoy Bogazici University Graph analysis, tensor decompositions,Connectome
Anirban Dutta University at Buffalo SUNY Non-invasive brain stimulation
Joyita Dutta UMass Lowell / MGH Data science, machine learning
Chiranjit Dutta University of Connecticut Longitudinal data analysis
ARIDEEP DUTTA Jabalpur Engineering College AD-alzheimer's diseases
Shamita Dutta gupta Pace U Ordinal logit model, general linear model
Alok Dwivedi Texas Tech University Health Sciences Center El Paso Amyloid positive, MRI, CSF biomarkers, ABETA42
Madhukar Dwivedi International Institute of Information Technology, Hyderabad Alzheimer disease, MCI,
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
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
Mackenzie Edmondson University of Pennsylvania neuroimaging, biostatistics
ANTOINE D EDOUARD Harvard University MCY&ALzheimer
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
Graham Eglit San Diego VA Biomarkers, Tau, CSF, PET
sina ehsani mashhad university of medical science dti
Willem Eikelboom Erasmus MC Rotterdam Neuropsychiatric symptoms, Alzheime's disease
Eyþór Einarsson Haskoli Islands Deep Learning, Brain Age, Machine Learning, MRI
Noushin Ejtehadi Iran University of Science and Technology DTI
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
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
Tusneem elhassan University of technology Malaysia (UTM) Alzaheimer
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
Natalie Ellison Pentara Corporation Composites Genetics
Jeremy Elman UCSD Pupillometry, aging, dementia
Ani Eloyan Brown University clinical domain, machine learning, deep learning
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
alaa elshazli Staffordshire university brain images, image processing
Nada Elsokkary Khalifa University of Science and Technology AD diagnosis, deep learning, textural analysis
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
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 diagnosis
Bradley English Fraunhofer Institute Early-warning
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
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
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
Claus Escher University Hospital Cologne Semantic Networks, Category Fluency Test
Javier Escudero University of Edinburgh Machine learning, Decision support, biomarkers
Lorena Escudero University of Cambridge TADPOLE
Marziye Eshghi MGHIHP structural imaging, cortical thickness, speech motor regions
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
Erika Espindola Centro Universitário IESB Data Analysis; Alzheimer; Prediction; Artificial Intelligence
Ana Espinosa Fundació ACE Cognition,
Mar Estarellas Garcia University College London Alzheimer, data-driven model, lifestyle
Pierre Etienne ActuReal Services and Consulting Pvt.Ltd. Converson to MCI
Kobra Etminani halmstad university Skull stripping ,prognosis of AD and Dementia
woohyun Eum Konkuk university QC case control
Diana Evangelista Ardsley High School deep learning; neural networks; Alzheimer's; ROC; Python
Guilherme Evangelista Centro Universitario Uni BH Utilização do aprendizado de maquina para diagnosticar, tratar e previnir o alzh
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
Dave Evenden Southampton Universiry Dementia, Disease Modelling, Healthcare Planning
Dyachkov Evgeny MIPT Convolutional Neural Networks
Katrina Evtimova NYU neuroimaging analysis
Michael Ewers LMU amyloid, genetics
Georgios Exarchakis Institut de la Vision, CNRS, Sorbonne University Scattering Transforms, Machine 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
Nathalie Fadel Columbia University Mailman School of Public Health fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac
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
Ali Fahim UT data mining
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
Ryan Fairchild University of Maine Tracking, atrophy
Muhammad Faisal King Fahd University Tadpole Challenge Data
Fazal Ur Rehman Faisal Chosun University Medical Image Processing
sherin faizal Barathiar University Alzheimer’s disease, Artificial Neural Network, Computer aided diagnosis, Discr
Faruk Fakih Safadi The University of Manchester Machine learning, deep learning, AD, university, research, computer vision
Tiago Falk INRS AI, multimodal, signal processing
weina fan Qufu Normal University research
Yong Fan University of Pennsylvania Pattern recognition; Machine Learning, Multi-site data
Yang Fan Peking University AD, ASL, CBF
zhihao fan 华南理工大学 Thanks
CHENCHEN FAN Institute of Automation,Chinese Academy of Sciences machine learning
Xiang Fan The Chinese University of Hong Kong biomarker
Geng Fan University of Electronic science of technology of China HDAC2
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
Ziqi Fan China neuroinflammation AD beta amyloid
Di Fan USC DTI
Wenliang Fan Union Hospital, Huazhong University of Science and Technology Alzheimer’s disease; Longitudinal change; Evolving pattern; FC
Corry Fan chongqing University of Posts and Telecommunications AUGgac394
ZHEN FAN Imperial College London Longitudinal amyloid tau
Shawn Fan Rice University TADPOLE
Yonghui Fan Arizona State University ADNI2-GO MRI data
Chong Yuan Fan National Chiao Tung University MRI
Kathy Fan Stanford visualization, CNN, interpretability
Peihao Fan University of Pittsburgh Alzheimer's Disease; Machine learning; Biomarker;
Yifan Fang Zhongnan hospital white matter lesions; hippocampus; basal forebrain; cholinergic system; AChE
Feng Fang University of Houston Connectivity, fMRI, dTI, AD
Frank Fang Eisai Machine Learning
Yi Fang Zhejiang University Perivascular space
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
Yan Fang Shanghai University of International Business and Economics 7Yiffany
SHENGLEI FANG Cardiff University Alzheimer, PET
Ruogu Fang University of Florida Alzheimer's Disease, cerebral perfusion, machine learning
zhang fangyuan school deep lerning CNN
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
LI FANSHI XIANGTAN UNIVERSITY MRI,CLINICAL
David Fardo University of Kentucky Pathway-wide association, AD
Gonzalo Farías Universidad de Chile synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Mohammadjavad Faridafshin Shiraz University image processing, AD, Classification, Machine Learning,
Aamir Farooq techtip covid in adni
fayroz farouk electronics research inistitute APOE, multistate markov model
Danielle Farrar University of New Mexico MCI, fMRI, MRI, network analysis
Kurt Farrell Icahn School of Medicine at Mount Sinai Primary age-related tauopathy
John Farrell Boston University Medical School whole_genome_sequencing genetics imputation structural_variants
Madeline Farron University of Michigan Medicine Neuroimaging, Alzheimer's Disease
maedeh fasihi ucf machine learning, classification, pattern recognition
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
Alireza Fathian Tarbiat Modares University Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network,
Noel Faux IBM Research - Australia Biomarkers, prognosis, genomics, cognitive decline
boudaoud fayçal enset ad;mci;alzheimer;detect deases alzheimer
Marcelo Febo University of Florida diffusion MRI, Alzheimers, amyloid
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
Franklin Feingold Stanford University BIDS
Amirhossein Feizi Semnan University learning, research design, studying
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 University of Naples Federico II Alzheimer's disease; atrial fibrillation
Grazia Daniela Femminella Imperial College London inflammation; atrophy; AD; MCI
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
Tingsheng Feng Beijing University of Aeronautics and Astronautics 197234tL
Junbang Feng CQMU 821727fjb
Jinwang Feng Northwestern Polytechnical University Alzheimer's disease, Feature extraction, Classification
Qingxiang Feng Tulane University deep learning, sparse
gu feng Chinese Academy of Sciences gufeng11
Xinyang Feng Columbia University AD imaging biomarker
Zhichao Feng The Third Xiangya Hospital of Central South University fzc2018xyyx
Lin Feng Shaoyang University Alzheimer’s Disease,Anatomical MRI,Classification,ROI
Xue Feng University of Virginia Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers
Yang Feng New York University Alzheimer’s disease, multiclass classification, prioritized error controls
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
Alberto Fernández Universidad Complutense de Madrid, Spain APOE4, Amyloidosis, cognitive performace
Isabel Fernandez Universitat Oberta Catalunya Early diagnosis
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
Italo Alberto Ferrante University Federico II neural network; deep learning; artificial intelligence
Ricardo Ferrari Federal University of São Carlos 3D salient point, Deep Learning, Atlas of salient points
Federico Ferrari Duke University Cox Model, Interaction Estimation
Antonio Ferraro Università Luigi Bocconi Neuro-Image, disease's progression prediction
Hugo Ferreira Faculty of Sciences of the University of Lisbon Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Luiz Kobuti Ferreira University of São Paulo functional connectivity; resting state fMRI; aging
Bianca Ferreira ISEP Alzheimer's Disease, FDG-PET, Neural Networks
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
Mark Fiecas University of Minnesota fMRI, connectivity, longitudinal
Matteo Figini University College London resolution, machine learning, image quality transfer
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
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
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
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
Evan Fletcher UC Davis Cognitive Reserve, Psychometrics Workshop
Alexandru Floares Solutions of Artificial Intelligence Applications Artificial Intelligence, Alzheimer's disease, clinical, genomic, imaging, data
Carlos Flores UNAM brain, unam, inb
Shaney Flores Washington University in St. Louis DIAN, harmonization, WUSTL
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
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
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
Parisa Forouzannezhad Florida International university MCI, AD, Neuroimaging
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
André Freitas Universidade do Minho Neuroimaging, MRI, Brain
Jennifer French University of Maryland GWAS
Leon French Centre for Addiction and Mental Health gene expression
Joshua French University of Colorado Denver principal components, isotropy
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
Bernard Fromson Birkbeck, University of London Machine learning, Computer Vision, Medical Diagnostics
Pan Fu Taizhou First People’s Hospital Alzheimer's disease, synaptic degeneration, clusterin
Ray Fu BIT data analysis
lingling fu south-central university research
jeffson fu Chongqing University of Posts and Telecommunications image
yu fu lanzhou university longitudinal brain changes; MCI;AD
yanv fu The Affiliated Second Hospital of Zhejiang University of Medicine Alzheimer's disease
Yunguan Fu University College London deep learning, registration
Zening Fu Georgia State University Multi-diseases biomarkers, data-fusion, dynamic brain connectivity
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
Tsukasa Funane Hitachi, Ltd. AI, Machine learning
Ernest Fung Cogstate Alzheimer's disease, clinical trials, CNS drugs
Quentin Funk Houston Methodist Research Institute Tau, fMRI, graph theory, DTI
Cory Funk Institute for Systems Biology Alzheimer RNA-seq WGS
Ansgar Furst Stanford University Alzheimers, TBI, Veterans
Pedro Furtado Universidade de Coimbra medical imaging
Janakasudha G Sri Venkateswara College of Engineering Alzheimer's Disease, Brain image analysis, machine learning and deep learning
jayavel G anna university alzheimer desease
MALAVIKA G kumaraguru college of technology disease, machine learning, data science
NAGARJUNA REDDY G NBKR INSTITUTE OF SCIENCE & TECHNOLOGY, VIDYANAGAR Alzheimers
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
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
Charles Galea Monash Institute of Pharmaceutical Sciences machine learning, disease progression
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
Dragan Gamberger Rudjer Boskovic Institute data clustering, subgroup discovery, intelligent data analysis
Deepak Gambhir Galgotia College of Engineering and Technology Alzheimer disease AD; Machine Learning Models
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
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
li gang Northeasten university AD
yang gang ustc segmentation
AYUSHE GANGAL G.B. Pant Govt. Engineering College neural networks, deep learning
Arkaprabha Ganguli Michigan State University Alzheimer’s disease, High dimension valariable selection, nonrandom nonresponse
Mohit Gangwar Bhabha Engineering Research Institute, Bhopal, India Machine Learning
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
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
yan gao Xi’an Jiaotong University multi-view classification
Kejiao Gao Northeastern university of china Transfer learning
Xiao Gao University of California, San Francisco atrophy, cognition
Peirong Gao Zhejiang University BIN1,AD biomarker
Yuan Gao University of Oxford Yeye8330209
Jian Gao Guizhou University Request
Lijuan Gao Affiliated ZhongDa Hospital, Southeast University APOE, DMN, MCI, conversion, AD
ang gao CAS,china Machine learning
Yurui Gao Vanderbilt University functional connectivity
Yunhe Gao Rutgers University Segmentation CNN
Kun Gao UNC-chapel hill medical image classification, deep neural network
Fuxun Gao University of Shanghai for Science and Technology Alzheimer’s disease; Computer-aided diagnosis
Xingyu Gao Shanghai Jiaotong University Alzheimer`s disease, Muti-modality, Deep learning
Linlin Gao Ningbo University longitudinal MRI, convolutional neural network, recurrent neural network
Libin Gao Wenzhou University data
Yang Gao Central South University AD/GNN/Disease Analysis
Xue Gao Shaanxi Normal University fMRI data
Yali Gao new york university risk factor
zhengzhou gao beihang university gzzhv587
Kai Gao SEfe AD, MCI
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
Melanie Garcia Hypercube Institute Neuroimaging, Data analysis, multi-site effect
HAYDEE GARCIA LIN DATANMA
José Carlos García Universtitat Oberta de Catalunya brain anomalies, automatic segmentaion, automatic lesion detection
Kara Garcia Indiana University School of Medicine surface registration, longitudinal, cortex, shrinkage, biomechanics
Miguel Garcia Boehringer-Ingelheim historical controls, placebo, disease modelling
Gracian Garcia Quiron PET; SPM; templates
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Indira Garcia Cordero UHN AD, functional connectivity, pet, longitudinal analysis
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
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.
NEHA GARG akgec ALZHEIMER
Ambika Garg Thapar Institute of Engineering and Technology Feature Extraction,PCA
sampurna garg thapar university 123456
Rhythm Garg Stanford University computer vision, neuroimaging
Gaurav Garg University of Ulster Modeling, EEG, fMRI, Alzheimer's, AD
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
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
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
Iris Ivy Gauran University of the Philippines Meta analysis, ordinal data, homogeneity
Deepam Gautam philips research and investigation
Nishant Gautam JIIT CN LMCI AD
Deepam Gautam philips Brain MRI AI
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Nathan Gaw Arizona State University multivariate analysis, hierarchical model, disease progression
Jodie Gawryluk University of Victoria white matter, MRI, DTI, cognition
mihály gayer university of geneva, switzerland master thesis, deep learning classification algorithm
XINTING GE University of Southern California AD, Image process
Black Ge Beijing University of Science and Technology fMRI ,classify
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
changrong ge Karolinska Institutet biomarker
Shufei Ge Simon Fraser University Associations study, Group Lasso ,spatial correlation structures
youjin ge Shanghai Maritime University AD
chuanhua ge chongqing medical university AD
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
lijun geng Northwestern Polytechnical University Longitudinal Prediction Deep Learning
CLAUDIO GENTILI University of Padua Functional connectivity; Alzheimer
Claudene George, MD, RPh Albert Einstein College of Medicine ACE Inhibitors, Dementia
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
gül gezer eskişehir osmangazi university CNN
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
Mohamed Ghalwash IBM Research progression; personalized
fatemeh ghanad payamenoor Alzheimer disease, classification
Behrooz Ghane University of Isfahan Deep Learning
Farnaz Gharedaghi Tabriz university PET/ MRI super resolution
Saoussen gharsallah ISIM Gabes WMH, Segmentation
MEHDI GHASEMI IUST graph theory
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
Palash Ghosal NIT DURGAPUR ,INDIA Deep Learning,Machine Learning,Neurodegenerative disease
Soumya Ghose GE Global Research Deep learning
Debjyoti Ghosh VISVA BHARATI UNIVERSITY Alzheimer, Disease, MRI
Sukanta Ghosh Jadavpur University Alzheimer's disease Soft Computing
Debjyoti Ghosh Visva-Bharati University Alzheimer
Robin Ghosh Jackson state university Image Analysis, CNN
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
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 consulting pvt ltd model building using Artificial intelligence technology
Giridhar giri VKIT Alzheimers, MCI, controls, MRI, fMRI
Smith Giri University of Alabama at Birmingham Neural networks, AI
Charul Giri University of Agder 3D CNNs, Alzheimer's detection, Alzheimer's prediction, Computer vision
Arnab Giri Jadavpur University Image processing analysis of alzheimer's disease
Juan D. Gispert Fundació Pasqual Maragall Partial Volume Correction,
Riccardo Giubilei University of Rome La Sapienza statistical learning, decision trees, classification
Averi Giudicessi Columbia University Alzheimers, Sex differences
Giovanni Giulietti IRCCS Santa Lucia Foundation magnetic resonance, DTI, Alzheimer, mild cognitive impairment
Felipe Giuste Emory University Neuroimaging, Machine Learning, Neuroinformatics
Helia Givian - 0440571898
Helia Givian Islamic azad university south tehran branch Alzheimer’s disease, deep learning, machine learning
Helia Givian South Tehran Branch of Islamic Azad Universiy Alzheimer's disease, Neurological disorder, deep learning, MRI
Jacob Gjerdalen University of Victoria DTI
Scott Gladstein AbbVie image analysis, machine learning, patient stratification, clinical trial design
Kelly Glavin University of Pittsburgh diffusion MRI
Ezequiel Gleichgerrcht MUSC Neurology, connectom
M. Maria Glymour UCSF Friday Harbor; psychometrics; cognitive reserve; using ADNI data as a teaching e
cns gns neu FSL, segmentation
Alison Goate Icahn School of Medicine at Mount Sinai Genetics, using ADNI data as a teaching example, Friday Harbor
David Godinez University of North Texas Data, alzheimers
Ryan Godwin Wake Forest Baptist Health Machine learning, artificial intelligence, glymphatic, PET, MRI
Denise Goedhart Paramedische hogeschool MRI and MS
TRIPTI GOEL NIT Silchar Deep leaning, feature ranking
Gadi Goelman Hadassah Hebrew University Medical Center fMRI, coherence, directed pathways
Nitika Goenka UPES Health Data Analytics, ML
Jantje Goerdten University of Edinburgh Dementia, risk prediction, middle-age
Aditya Gogoi Anthem Inc. Deep Learning; Ensemble; onset Dementia;
Sheng-Yang Goh UCSF frontotemporal dementia
Suril Gohel School of Health Professions, Rutgers University PET, MRI, Alzheimer
Busra Gok Boston University Alzheimer PBMC
Sapir Golan Sheba Medical Center AD, IRAP, IDCD, Diabeties
Mohammad Golbabaee University of Bath compressed sensing, machine learning
Andrew Goldfine GSK clinical trial
Felicia Goldstein Emory University task engagement, recognition memory, normal cognition, MCI, AD
Ido Goldstein The Open University of Israel Deep Learning, image analysis
Ali Golestani University of Toronto segmentation, deel learning, convolutional neural network
Ann Gollapudi Pine Richland HIgh School Alzheimer's diesease
Sepehr Golrizkhatami Fraunhofer Institute Event-based modeling, mechanism validation
Jesus Gomar Northwell Health Amyloid PET
Catalina Gomez Universidad de los Andes brain tumor segmentation,
Alejandra Gomez University of Texas at El Paso A0]POE4 gener, hippocampus, MRI images, behavioral test results, demographics
Jon Ander Gómez Adrián Universitat Politècnica de València Deep Learning; Semantic segmentation of medical images; Predictive models;
Vanessa Gomez-Verdejo Universidad Carlos III de Madrid machine learning, mri
Sofia Gonçalves Instituto Superior de Engenharia do Porto Alzheimer's disease
SAI KUMAR GONDI Search Results Web results Dr.M.G.R. Educational and Research Institute diabetes type-II , research , Deep Neural Networks
Yunguo Gong Eisai Biomarker
JIAHONG GONG Harbin Medical University 966730967
bangming gong shanghai university multi-view, medical imaging
Yu Gong Shenzhen Institutes of Advanced Technology Chinese academy of sciences joint imaging; reconstruction; accelerated MRI; low-dose PET
Liang Gong Chengdu Second People's Hospital APOE gene; functional connectivity; AD; Aging
Kuang Gong Massachusetts General Hospital Deep learning, AD, MCI
Venkateswarlu Gonuguntla Samsung Medical Science Research Institute graph convolution, fMRI
Cassandra Gonzalez CU Anschutz Medical Campus Comparative Anatomy
Evelio Gonzalez CNEURO MRI, hippocampus
PAULA GONZALEZ CONICET-HEC-UNAJ Aging, asymmetry, South American populations
Julian Gonzalez escuela colombiana de ingenieria julio garavito alzheimer, machine learning
Daniel Alejandro Gonzalez Salamanca Universidad Nacional de Colombia computational machine
diego maximiliano gonzalez vivanco UNAM Machine learning and artificial intelligence
Gabriel Gonzalez-Escamilla University Medical Center of the Johannes Gutenberg-University Mainz Aging, neurodegeneration
Max Goodman UCLA blood, CSF, biomarker, PET, MRI
Abbey Goodyear National Institutes of Health - NIBIB DTI
Dhruman Goradia Banner Health Machine learning, deep learning and AI
Marcia Gordon Michigan State University senescence, CDKN2A, microglia
Brian Gordon Washington University in St. Louis tau, amyloid, PET
Hailey Gordon West Los Angeles Veterans Affairs Alzheimer's Dementia 2FA PET Neural Imaging
ELENA GORELLI UNIVERSITà DEGLI STUDI DI SIENA Neural Network, CNN, Siamese network, MRI images, Alzheimer
Pietro Gori Télécom ParisTech T1, DWI, statistical shape analysis, education
Priyanka Gorijala Indiana university Purdue university convolution neural network, Alzheimers
Richard Gorniak Thomas Jefferson University MRI, convolutional neural networks, medial temporal sclerosis
Juan Manuel Gorriz University of Granada Image processing, Random forest
Tazuko K. Goto Tokyo Dental College Alzheimer Disease, tooth
Tsubasa Goto FUJIFILM corporation brain region, multimodal, predict progression, pTau
Assaf Gottlieb UTHealth AD, FTD
Franziska Gottwald Paderborn University, Germany Alzheimer's prediction and treatment
Walaa Gouda JOUF University alzheimer, CAD
Daniel Gourdeau Université Laval Radiomics,AD prognosis, machine-learning, texture analysis
Megha Gowda Student Cognitively Normal(CN), Mild Cognitive Impairment(MCI),Alzheimer's disease,
Saksham Goyal BML Munjal University Reasearch, Computer Vision
sonal goyal NSIT, New delhi, india MRI, Classification
GAURAV GOYAL CHITKARA UNIVERSITY multiple sclerosis
Palak Goyal Thapar Institute of Engineering and Technology, Patiala Alzheimer's Disease
Vidisha Goyal Georgia Institute of Technology Medical Image Processing
Shubham Goyal Maharaja Agrasen Institute of Technology Major Project
Manu Goyal Washington University School of Medicine ADOPIC
Elveda Gozdas Stanford University Mild Cognitive Impairments
Illana Gozes Tel Aviv University ADNP, ADNP related genes, RNA-seq
SARASWATHY GR M S Ramaiah University of Applied Sciences Computational, Alzheimer's disease
Vijay GR SJCIT alzheimer's disease, MRI, CNN, image processing
Ariel Graff Universtity of Toronto depression, amyloid, PET
Jinko Graham Simon Fraser University multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Kamil Grajski Nurosci, LLC Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP
Ilaria Granata National Research Council (CNR) radiomics, classification, integration
Marilyn Grand'Maison Biospective PET, MRI, Alzheimer's, Cortical Thickness, AV45
Massimiliano Grassi Villa San Benedetto Menni Hospital Machine Learning, Conversion to Alzheimer's Disease, MCI
Lisa Graves VA San Diego Healthcare System; UC San Diego Neuropsychology; risk factors; mild cognitive impairment; Alzheimer's disease
Katherine Gray Imperial College London Alzheimer's disease; early diagnosis
Elisabetta Grecchi GE healthcare AD, amyloid, prediction
Elaine Green Plymouth University L1 elements, retrotransposons
Lior Greenberg Israel Open University student
Sara Greenfield UC Davis metabolites genome
David Greenstein Multimodal Imaging Services Corporation Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's
Allison Gregg UT Southwestern Medical Center neuropsychology, psychiatry, neuroimaging, neurocognitive
Sarah Gregory University of Edinburgh Cortisol Diabetes HbA1c
Michael Greicius Stanford University genes, structure
Joseph Grieco Wake Forest School of Medicine MRI Brain Alzheimer
Joshua Grill UC Irvine informant
Andrea Grioni Central European Institute of Technology (CEITEC) AD DREAM model prediction
Anthony Griswold University of Miami whole genome sequencing, ABCA7, VNTR
Stefan Grivalsky Slovak University of Technology in Bratislava prediction, deep learning, alzheimer
Janet Groat Manukau Institute of Technology machine learning, AI, Data Science
Colin Groot VU University medical center Alzheimer's disease, Voxel-based morphometry, psychometrics
Giuseppe Grossi Ryerson University Deep Learning, Computer Vision, Machine Learning
Matteo Grudny University of Florida diffusion magnetic resonance imaging, functional connectivity metrics
Arne Grundstad AbbVie AbbVie ADNI
anjani gss NIT,Andhra Pradesh machine learning project
Sandro Gsteiger F. Hoffmann-La Roche Ltd disease progression, economic model, natural history model
Xuejun Gu The University of Texas, Southwestern Medical Center radiation, representation learning
Xiaoqing Gu Changzhou university machine learning;disease classification
Nannan Gu Shanghai Mental Health Center cognitive impairment, Alzheimer’s disease, data-mining techniques
guojun Gu Tongji Hospital, Medical School of Tongji Univers ASL
Luyan Gu Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou perivascular space
dongdong gu Hunan University MRI
Yi Guan Boston University School of Medicine Imaging, MCI, subtypes
Hao Guan UNC at Chapel Hill machine learning, AD classification, MCI prediction
Yohn Guan Shanghaitech University disease progression, metric learning, multi task
zhao guanhua Tianjin University of Traditional Chinese Medicine machine learning,Alzheimer's disease
Cecilia Guariglia Università Sapienza dementia, cerebellum, mri
Egle Gudziuniene Lithuanian University of Health Sciences Alzheimer's disease, early diagnostics, dementia, brain damage
Tobias Guennel Precision for Medicine CSF, predictive, machine learning
Rosember Guerra Urzola Tilburg University Sparse Principal component analysis, High Dimensional analysis, Optimization
dhouha Guesmi ISIM of SFAX alzheimer's disease
Besma Guesmi ISIM Monastir (ISIMM) 8PI35
Daniel Guetta Columbia Business School teaching random forests
Pamela Guevara University of Concepción white matter bundles, anatomy, machine learning
Peng Gui Wuhan University medical image registration
Agathe Guilloux Université Evry - Paris Saclay statistical learning, survival analysis
Abel Guimaraes Ryerson deep learning, Alzheimer’s Disease
Vânia Guimarães Faculty of Engineering of the University of Porto Classification, Alzheimer's Disease
Ana Guisasola Universidade do Minho machine learning, medical image, artificial intelligence
HE GUIYING ruijin hospital alzheimer's disease;fmri;early diagnostic markers
sharvari gujja Wuxi NextCODE machine learning, deep learning, genetic drivers
ESRA GÜLAY ERCİYES UNIVERSITY Alzhemier, fMRI
Doğuş GÜLGÜN Mersin University Deep Learning, Classification
SARITA GULIA KRMU GURGAON MATLAB, AD, ADNI
Joseph Gullett University of Florida Deep Learning, Neural Networks, Neurocognitive Function
TAMIL INIYAN GUNASEKARAN Chosun University SNP, GWAS, MRI, pathogenesis, neuronal damage.
TAMIL INIYAN GUNASEKARAN Chosun University Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease
Kalyani Gunda KL University EARLY ALZHEIMER'S DETECTION
Roger Gunn Imperial College London Mathematical Analysis, Classification, Machine Learning
MUKUN GUO Nanyang Technological University Cross-modality, domain adaptation
Jingwen Guo Macau University of Science and Technology super-resolution,medical images
haoming guo The First Affiliated Hospital of Chongqing Medical University MRI
Yi Guo Xiamen Branch, Zhongshan Hospital, Fudan University ASL.
zh guo Bio-totem deep learning
Xiaoyan Guo Qiqihar University deep learning medical imaging
William Guo No Institution/Company (High School) DNA Methylation, Alzheimer's Disease
lisha Guo Hebei Medical University MRI PET early dementia diagnosis
yu guo huazhong university of science and technology DTI
Jiaming Guo Massachusetts General Hospital ordinal regression, progression of AD
Gavin GUO The Hong Kong Polytechnic University machine learning; transfer learning;AD
Zixu Guo University of Reading ADNI, Machine learning
Jia Guo Columbia University AD, MRI
Yanrong Guo Hefei University of Technology classification , neuroimaging
Shunchao Guo Guizhou University classification
Pei Guo Shanxi medical university AD
Tengfei Guo University of California, Berkeley Alzheimer's disease; amyloid; tau; neurodegeneration
Yining Guo New York University modeling
qingchun guo CIBR ASL, PET
wenbin guo Pingtan Comprehensive Experimental Area Hospital alzheimer
Bin Guo Vanderbilt University White Matter, BOLD, Lag time
Pengfei Guo Johns Hopkins University MRI, acceleration, reconstruction
JIAYI GUO Tianjing University fMRI Analysis
Jia Guo UC Riverside motion artifact
Shang Guocan South Central University For Nationalities Image Segmentation, Image Landmark Extraction
Yu Guoxian ShanDong University medical image analysis,Few-short Learning,Deep Learning
Feng Guozheng Beijing Normal University Congnitive disease; prediction
Ayush Gupta IIT Delhi NA
Ankit Gupta Siemens Healthcare Private Limited biomarkers imaging prediction
Satyam Gupta Ajay Kumar Garg Engineering College Ghaziabad neuroimaging
Nikhil Gupta in-med prognostics Neuroimaging, Early diagnosis, Alzheimer's
Ashish Gupta Independent Researcher Machine Learning, Deep Learning
Yubraj Gupta Chosun university CNN, Alzheimer disease
VAIBHAV GUPTA AKGEC GHAZIABAD ALZHEIMER'S DISEASE
Prajwal Gupta PESU Super resolution, MRI, neural network, image enhancement
Vishu Gupta Malviya National Institute of Technology dementia, Alzhemer's
Aditi Gupta KUMC Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI
gaurav gupta Shoolini University Alzheimer image segmentation machine learning
Sunidhi Gupta NYU Alzeihmer, dataset, predict
Vivek Gupta Softsensor.AI AI, Alzheimer, segmentation, disease progression
Pranav Gupta IIT BHU CNN, Image Processing, Dementia classification
Rishab Gupta SUNY Downstate Medical Center Alzheimer Disease, Outcome, ethnicity
Aditi Gupta NIT Raipur Machine Learning, Alzheimer
Amrit Gupta Vellore Institute of Technology, Chennai Predect Alzeihmer's using Machine learning
Sanskriti Gupta NCU FMRI, Alzheimer's Disease, Dee Learning
Priyanka Gupta Indian Institute of Science MCI, Alzheimer's
Vinay Gupta University of Manitoba Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Niraj Gupta IISER bpr Alzheimer's disease
SHLOMIT GUR Penn State University Evolving functional connectivity analysis, machine learning, graph theory
harsimran guram LPU Machine learning, deep learning,dementa
Antoni Gurgui IBEC progression model, alzheimer disease, simulation,
Segolene GURNOT le wagon diagnosis prediction longitudinal imaging
Mahmut Edip Gurol Massachusetts General Hospital CAA, cortical thickness, controls, AD
Jose Gutierrez Columbia University arterial diameters, beta amyloid, tau
David Gutman EMORY UNIVERSITY mri dti adni
Boris Gutman University of Southern California DTI, diffusion MRI, Alzheimer's, human connectome
Meghana Guttikonda Academies of Loudoun MRI Scans, Parkinson's Disease, Biomarkers.
Rodney Guttmann University of West Florida Secondary data analysis, public health,minorities, rural
Beata Gyorgy ICM gwas, personalised medicine, longitudinal analysis
Sung Min Ha Washington University in St. Louis Alzheimer's Disease, Machine Learning
MARYAM Habadi King Abdulaziz University Alzheimer’s disease, parametric analysis, copula, bivariate distribution
Reggie Habas Lambda School Blank
Mohamad Habes UTHSA neuroimaging, deep learning
Mohamad Habes UPENN/UTHSA machine learning
yibeltal habtamu AAiT data,information,knowledge then wisdom.
Tetiana Habuza UAE University brain atrophy,VBM
Maren Hackenberg Medical Center - University of Freiburg deep learning, dynamic modelling, personalised medicine, machine learning
Mallory Hacker Vanderbilt University Medical Center PDRP, PDCP, ADRP, FDG-PET
Timothy Hackett University of Nebraska - Lincoln aging, stiffness, biochemistry
Amir Hadanny Shamir Medical Center head circumference
Seyyed Mohammad Hassan Haddad University of Western Ontario Resting-state fMRI, Amyloid PET, Brain Activity
Christoforos Hadjichrysanthou Imperial College London Alzheimer’s disease; biomarker trajectories; clinical trial simulations;
Ida Haeggstroem MSKCC pet; survival; deep learning
Kirsten Hagen Oregon Health & Science University plasma, oxylipins
Paul Hager LMU myelin, machine learning, GAN, PET, DTI
Amin Haghani University of California Los Angeles Alzheimer, DNA methyalation
Shira Hahn Aural Analytics, Inc. neuropsychological testing, statistical modeling
Georg Hahn Harvard T.H. Chan School of Public Health population stratification, locStra, local analysis
Alice Hahn Samsung Medical Center preclinical Alzheimer's disease
Yan Hai Georgia state university confidence interval, sensitivity
Nour Elhuda Haidar KIIT Alzhimer's disease, CNN, image classification, deep learning
Ye HaiLi CASIA CV
JIN HAILIN sejong university Alzheimer’s Disease, segmentation
Nic Hainc TWH deep learning keras
Jiang Haitao USTC scientific research
Nahid Hajizadeh Shiraz University of Technology Alzheimer
Navneet Hakhu University of California, Irvine enrichment, model misspecification, mean-variance, bias, clinical trials
Omar Halawa Harvard Medical School IADL, neuropsychiatric symptoms, tau PET
Molly Hall Pennsylvania State University Metabolomics, genomics, multi-omics integration
Vikas Hallikeri JSS science and Technological University Early detection of Alzheimer's disease
Amy Halpin University of Maine CSF biomarkers, cut points, demographics
Osama Hassan Hamadelseed Abdualrahman Institute of Anatomy & Cell Biology / Heidelberg University Down Syndrome, Alzheimer disease. Neuroanatomy, Neuroimaging
Hala Hamdi Mansoura University 111999
Radin Hamidi Rad Ryerson University AI, Machine Vision
Tyler Hammond The University of Kentucky cognitive reserve, Alzheimer disease, aging, DTI, MRI
Solveig Hammonds Helse Stavanger HF Prodromal dementia, deep learning, MRI
Olivia Hampton Massachusetts General Hospital PACC, harmonization, amyloid, cognitive decline
Fatih Hamza Izmir Institute of Technology Neural network, Alzheimer, MRI, PET
Maryam Hamzelu Tarbiat Modares University Deep learning, machine learning
JIYONG HAN KOREA Deeplearng; Gan; Classification
qinghua han Yunnan university Alzheimer's disease(AD,MCI,machine learning,deep learning,ADNI
Ruizhi Han University of Macau Image classification, Computer vision, Computer aided diagnosis
Wenjing Han Capatical Medical University gene multimodal
Liang Han Chongqing University early detection, MRI, MCI, AD, Artificial Intelligence
Feng Han the Pennsylvania State University biomarker, fMRI, brain dynamics, prediction model
Hyeseon Han Unomic dementia, MRI, PET, machine learning
Duke Han USC cognition, neuroimaging
yujeong han konyang university deep running
liting han University Of Shanghai For Science And Technology analysis
fei han Shanghai Maritime University ml
christopher hancock University of California Riverside & HALO Dx Alzheimer's disease, dementia, MCI, AD, HC, CU
Francis Hane Lakehead University AD prediction, APOE4, Bayesian
kong hang Beihang university deep learning,medical image
liu hang Tsinghua university apoech
Alexandru Hanganu University of Montreal T1, fMRI, rsfMRI, DTI
Nicolai Hans Humboldt University copula regression, boosting, feature selection in medicine
Bernard Hanseeuw Massachusetts General Hospital Striatum hippocampus
Maria Hansen Technische Hochschule Mittelhessen Alzheimer's Disease, Neuronal Networks
Kevin Hanson University of Florida Machine learning, prediction, TBI, APOE, biomarkers
Yayu Hao Tsinghua University Deep Learning, Medical Image Registration
JIANG HAO NEU 12345642
Meiling Hao University of International Business and Economics Gene; Statistical Analysis; AD
Huaying Hao Ningbo Institute of Industrial Technology multi-modality images
Gaoyang Hao Jiangnan University Image Registration
Zhiying Hao University of Electronic Science and Technology of China machine learning ; medical image processing
ziteng hao beijingjiaotongdaxue alzheimer-disease-prediction
Yayu Hao Tsinghua University Deep Learning, Medical Image Registration
hu hao Qing Dao University Alzheimer's disease; blood biomarkers; early diagnosis
zhiyu hao Northeast Agricultural University GWAS, Binary traits, Generalized linear mixed model
Yang Hao Beihang University Functional imaging, brain connectivity
Muhammad Haque University of Texas, McGoveern Medical School ASL, Stroke
Joanna Haralampieva Imperial College London Brain Imaging, Machine Learning, Neurodegenerative Diseases
Oscar Harari Washington University in St Louis Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau
Shaghayegh Harbi - Genomic RNASeq
Cheshire Hardcastle University of Florida Resting-state network, resting-state connectivity, MCI, aging, cognition
Seth Austin Harding Reliance Biosciences artificial intelligence in dementia alzheimer's treatment therapy AD score
Ian Hardingham Oxford Brain Diagnostics DTI MRI
Evan Hare University of Southern California Early Detection, Amyloid-Negative, TDP-43, Amyloid, Tau, Biomarker
Poornima Haridas New York University GNN, Deep Learning, Alzheimer's Disease
Matthew Harper Liverpool John Moores University IADL, difficulties
Amal Harrati Stanford University Genetics, using ADNI data as a teaching example, Friday Harbor
Breanna Harris Texas Tech University cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Danielle Harvey Unversity of California, Davis biostatistics
Brandon Harvey Emory University Alzheimer's Disease, Quasi-Periodic Potentials, fMRI, connectivity
Naimul Hasan University of Chittagong Alzheimer's disease
Ali Hasan Al Nahrain University Deeplearing
Md. Mahmodul Hasan Mawlana Bhashani Science and Technology University AD, CNN, SVM, AD Detection
md tasnimul hasan University of potsdam Image classification
noorul hasan National Institute of Technology Image Segmentation
Omar Hasan McGovern Medical School DTI, sMRI, AD
Syifa Hasanah ITB final project
parham hasani university of Tabriz data science, machine learning, AI
Jonathan Hasbani ITBA Neural networks, machine learning, Alzhei
Gwenole Hascoet Georgia Institute of Technology prediction, Alzheimer, progression
Arsalan Hashemiaghdam Yale University Cognition, Alzheimer's disease
Somaye Hashemifar Columbia university Machine learning, Research
Helia Hashemolhosseiny Alzahra Alzheimer-CNN-deep learning
Ramin Hashimzade Private Person Data Science
Jakub Hasiec Warsaw School of Economics Predictive modelling, data mining, Alzheimer's disease
Grant Haskins EvoAI (new start-up) Deep Learning, Machine Learning, Medical Image Analysis
Mahmoud HASSAN Rennes University EEG; Dysfunctional Brain networks;
Omar Abdulaziz Hassan Dayananda Sagar University deep learning,convolutional neural network,flask framework
Sean Hatton UCSD MRI, data harmonization
Daniel Hauber Gerontology teaching
Marc Haut West Virgnia Univesity ultrasound
Toshihiro Hayashi University of Tokyo MRI, psychology, biomarker
Jasmeet Hayes The Ohio State University Parkinson's disease; cortical thickness; genetics
Chris Hayward Newcastle University Cognition, Structural connectivity, Brain, MCI, IQ
AMLAN PROTIM HAZARIKA JADAVPUR UNIVERSITY ,KOLKATA MRI, Fuzzy Theory, Machine Learning
RUHUL AMIN HAZARIKA NEHU Alzheimer detection using brain MRI
Nalini Hazra USC Alzheimer's
Suvojit Hazra University of Calcutta neuroimaging
Ke He Tsinghua University Registration, deep learning
xiaoxi he Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji 861130
Xuanning He Australian National University Dementia, Cognitive Function, Lifestyle, Cognitive Reserve
Changxiang He University of Shanghai for Science and Technology Geometric renormalization unravels self-similarity of the multiscale human conne
Siyuan He Changchun University of Science and Technology computer aided diagnosis, deep learning
Chenyu He Shanghaitech University Segmentation, T1, Human Brain
Michael He University of Manitoba Alzheimer's Disease, Temporal Lobe Epilepsy, FDG-PET
Liqin He UCLA Alzheimer patient's neuroimage, early detection, convolutional neural network
Xiaoning He The Second Affiliated Hospital of Dalian Medical University Radiomics
Yao He University of Utah PET, FDG-PET, Focal AD
shanshan he jilinunivercity soft
Hui He Beijing Institute of Technology EHR Alzheimer Neuroimaging
Zhen He La Trobe University deep learning, computer vision
lemin He Shandong first medical university AD Brain Network Multimodal
Linchen He New york university Association test, binomial mixture model, complex disease, genetic heterogeneity
Eric He UNC MIA
Yuening He Georgia State University Apathy
yuru he Sounth Medical University PET-MR
Hao He Georgia Institute of Technology course project
wenwen he Guizhou Medical University experiment
Tao He San Francisco State University set-based association, pathway analysis
Qiliang He Georgia Institute of Technology flicker exposure
Alesha Heath Stanford Variable Number Tandem Repeats, genetic association, biomarker prediction
Rolf Heckemann Imperial College London anatomical segmentation, morphometry, volumetry,
Dennis Hedderich Technical University of Munich Magnetic resonance imaging, cortical thickness, positron emission tomography
Adrian Heeger University Hospital Düsseldorf, Germany brain atrophy, automated workflow, brain aging, brain volume
Fiona Heeman Amsterdam UMC, location VUmc Alzheimer's disease, relative perfusion, amyloid, cognition
Joseph Heenan IQVIA bayesian methods, machine learning
Mohamed Hefny Queen's University Medical Data Analysis, MUltisource data integration, Disease Understanding
leili heidaryan sd 2
Luca Heising Tilburg University Machine learning, Deep learning, Early detection, Alzheimer's
Mohsen Hejrati Genentech Deep Learning, Progression Prediction
Khan Hekmatyar University of Delaware MRI, Image analysis, python, DTI,
Jarle Helle Western Norway University of Applied Sciences (HVL) Neural network, Brain age, Predict, MCI, Alzheimer's disease
Caroline Hellegers Duke NFL
Jesse Helman Janssen Pharmaceutical Companies of Johnson and Johnson tau PET, correlation, rbans, adas-cog, cdr-sb, multiple outcomes
Ahmed Hemedan Luxembourg university boolean Parkinson disease map
Christopher Hemond University of Massachusetts atrophy, neutrophil-lymphocyte ratio
Andrew Henney JCU Generative Adversarial Networks
Rui Henriques Instituto Superior Técnico, Universidade de Lisboa Classification, Clustering
Felix Hensel ETH Zurich machine learning
dawoon heo Korea Univ. deep learning
Tobias Hepp University Hospital Tuebingen Deep Learning, Age Estimation
Renato Hermoza Aragones The University of Adelaide Deep learning, reinforcement learning, survival prediction, biomarkers
Monica Hernandez University of Zaragoza Computational Anatomy
Harold Antonio Hernández Roig Universidad Carlos III de Madrid fMRI, BOLD signals, stringing, functional data, Alzheimer's disease
Laura Hernandez-Lorenzo Complutense University of Madrid machine learning, genomics, bioinformatics, neurodegenerative diseases
Marcus Heron University of ulster Data Science, Machine Learning
Jonathan Herrera Massachusetts Institute of Technology Alzheimer's Disease, dementia, epigenomics, machine learning, classification
Jonathan Hess SUNY Upstate Medical University Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett University of Bordeaux Patch-based biomarkers, hippocampus, hippocampal subfields
Kilian Hett Vanderbilt University Tensor-based analysis, Diffusion MRI
Stephen Heun Avid Radiopharmaceuticals Flortaucipir
Nidiyare Hevia-Montiel IIMAS-UNAM segmentation, morphometric descriptors
Nargess Heydari Beni University of Waterloo Brain, Imaging, MRI, CT, PET
Aaron Heyne Technische Hochschule Mittelhessen Diagnosis Alzheimer CNN Convolutional Neural Network Wavelet
Zhang Heyu The first hospital of Sun Yat-sen University cognitive statu,biomarkers,tau PET
Derrek Hibar Genentech, Inc imaging genetics, cognitive decline, robust statistics
Charlie Hicks Oxford Brain Diagnostics DTI
Steven Hill University of Cambridge risk prediction, biomarkers
Frank Hillary Pennsylvania State University hyperconnectivity, MCI, risk, neurodegeneration
Laura Hillmer University of New Mexico vascular dementia, mixed dementia, white matter
Christian Hinge University of Copenhagen Deep Learning, Dementia, Alzheimers, GAN, domain transfer, MR, PET
Max Hinne Radboud University Generalized Wishart Processes; network regression
Jakub Hlavka USC Price School outcome measurement, Alzheimer's disease, functional, behavioral, cognitive
lakshitha hm studying preclinical stage detection
Diem HO University of Tours graph comparison, brain connectome
Raymond Ho ouhk machine learning, empirical mode decomposition
Ngoc-Huynh Ho Chonnam National University Deep learning, Bioinformatics, AD
Nick Ho The Hong Kong Polytechnic University machine learning, dementia prediction, feature importance
Ngoc-Huynh Ho Chonnam National University Deep learning, Bioinformatics, AD
yume Ho aliyun research
Lara Hocurscak FMF UL FDG-PET, Alzheimer's disease
Merle Hoenig University Hospital Cologne resilience, PET, polygenic risk
John Hoffman University of Utah FDG-PET, SPM group analysis
Kareen Hoffmann University Hospital Magdeburg vascular dementia, small vessel disease, T2*-weighted MRI, fdg pet
Malte Hoffmann Martinos Center longitudinal morphometry Freesurfer
Jacqueline Hogan University of Massachusetts Boston vvvvv
Ryan Hogan St. John's University Computer Vision
Timothy Hohman Vanderbilt University School of Medicine Genetics, Resilience, Asymptomatic,
Maggie Pui Man Hoi University of Macau Primary healthcare data, machine learning, Prediction of cognitive decline
Seyed Hani Hojjati University of Tennessee Health science Center Alzheimer's disease, PET, sMRI, DTI , Neuropsychological tests
Daniel Holder Merck Research Laboratories Biomarkers
Todd Hollon University of Michigan Pituitary gland, neural networks, pituitary adenomas
Sean Holmes Invicro, LLC Amyloid, ADNI, DICOM, Tau
Robin Holmes University Hospitals Bristol Machine learning, VBM
Henne Holstege Amsterdam UMC Genetics, Alzheimer
Robyn Honea University of Kansas School of Medicine, Alzheimer's Disease Center family history, structural brain imaging, mitochondria
Jimin Hong Seoul National University Hospital unsupervised learning, Alzheimer's disease, imaging biomarker
junyong hong Dongseo University machine learning
HaoTian Hong Shanghai University RSFC fMRI-BOLD
xin hong XiaMenUniversity AD, Prediction
Yue Hong The Martinos Center neuropsychology, machine learning
Sungmin Hong Massachusetts General Hospital Segmentation, Clinical-grade images, Shape Analysis, Longitudinal Shape Analysis
CHAELIN HONG Asan Medical Center MR image feature detection from Deep learning model
Manzhi Hong SUN YAT-SEN UNIVERSITY study