Ongoing Investigations

ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.

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Search for projects using the investigator's name, institution, or keywords
Investigator Institution Keywords
Hariharan A Jerusalem college of engineering MRI, automatic detection, AD
Anupa A Vijayakumari SCTIMST fMRI, DTI, Azheimer's
Mohammad Hadi Aarabi Tehran University of Medical Sciences Diffusion MRI
John Aballi Molecular Stethoscope cfRNA
abd elazeim abd alla mohamed nour south east university MRI,AD,MCI
Bishri Abdel-Hamid Faculty of Engineering classifications,data resampling, big data, distributing processing
Mohammed ABDELAZIZ The Center for Development of Advanced Technologies (CDTA) MRI, Brain Tumor, classification
Ehab Abdelhamid Imperial College Clustering, big data
Carla Abdelnour Fundació ACE. Barcelona Treatment and Research Center Lewy body disease, biomarkers, cognitive profile
Bariqi Abdillah UI alzheimer computer vision
AmirHussein Abdolalizadeh Student's Scientific Research Center MRI, Imaging Genetics, Alzheimer's Disease, PTSD, Graph Theory, PET
Mahsa Abdollahi Amirkabir University of Technology(Tehran polytechnic) Classification, Brain Diseases, Alzeimer, SVM, KNN
Siti Aishah Abdul Aziz UPM etty2005
Amritha Abdul Salam IIT Kharagpur ML
Nidhal Abdulaziz UOWD SVM, Machine learning, Feature Extraction
Ahmed Abdulkadir University of Freiburg classification, machine learning
mohammad nasir abdullah Universiti Teknologi MARA comparisons, machine learning
Sachal Abdullah Forman Christian College (A Chartered University), Lahore Deep Learning , artificial neural nets , EMCI , LMCI
Osama Abdullah University of Utah DTI, DSI
Shafiq Abedin IBM TBI, Trauma detection
Noor Abidi PAF KIET Neural network
Jill Abrigo The Chinese University of Hong Kong automated hippocampal volumetry, Alzheimer's disease
Gerhard Acero Universidad Nacional de Colombia Resonance magnetic, alzheimer disease, single nucleotidw polymorphism,
Noriaki Adachi MSD. K.K. (Japan Branch of Merck) threshold
Christopher Adamson Murdoch Childrens Research Institute corpus callosum, cortical thickness, logitudinal
Aditya Addepalli Birla Institute of Technology and Science CNN
Viraj Adduru Rochester Institute of Technology volume, segmentation, 3d modeling
Viraj Adduru Rochester Institute of Technology Brain volumes, CT, MRI, validation
Tameem Adel University of Amsterdam MRI Classification, Unsupervised Feature Learning.
Karim ADERGHAL LaBRI Deep Lreaning
Karim ADERGHAL LabSIV deep learning
Benjamin Ades-Aron New York University Langone Medical Center NPH, Hydrocephalus
Michael Adeyosoye Florida International University tumor, healthy, mri, matlab, benign, malignant
Paul Adlard The Florey Institute for Neuroscience and Mental Health Zinc, cognition, ageing, Alzheimer's disease
Trivikram Adurthi student to study brain abnormalities
SRINIVASA AG UVCE IMPLIMENTATION OF AD
Iman Aganj Massachusetts General Hospital / Harvard Medical School Brain connectivity
Anupam Agarwal jagannath Univesity, Jaipur MRI images
Anchit Agarwal Arizona State University machine learning, neural nets, deep learning, medical science
Folasade Agboola Washington University in St. Louis School of Medicine Preclinical Biomarkers
mary aghili florida international university denoising on adni
Cinthya Aguero MGH Department of Radiology Alzheimer
Pablo Aguiar University of Santiago de Compostela Brain, PET, Alzheimer
Jamila Ahdidan Aarhus University AD, hippocampus, prediction
Rziwan Ahmad UMT Alzehimer's Disease Detection
Fayyaz Ahmad UOG fmri, SPM, ANN
Hessam Ahmadi Islamic Azad University fmri, graph theory, alzheimer
Nisar Ahmed University of Engineering and Technology Lahore, Pakistan alzheimer's, dementia, machine learning
Juweiriya Ahmed Western University Psychosis, AD
farid AHMED SID Orleans university FA, tarctography, diffusion MRI, DT model, multi-tensor model
Qing Ai University of Science and Technology Liaoning AD
Edward Ai Shanghai Jiaotong University Medical image segmentation
benyahia aicha electronique AD
Sai Aitharaju ETH Zurich Dementia, CNN
Aditya Aiyer Carnegie Mellon University Classification, Course Project, Deep Learning
Zeynettin Akkus Mayo Clinic MRI
Sanae Akodad Katholiek Universiteit Leuven Hippocampal segmentation
Hamid Akramifard Tabriz University classification, MRI PET, image processing.
Leon Aksman UCL structural MRI, longitudinal analysis, imaging genetics
Said Aktas F.Hoffmann-La Roche Ltd. Biomarkers, Genetics
Theophilus Akudjedu NUI Galway Subcortical, segmentation techniques,FreeSurfer, volBrain
Ahmad Al Khleifat King's College London Genetics analysis, SV, CNVs, Telomere
Saad Al-Baddai Regensburg University Extracting features; Classification; Analyzing
Omar Al-Janabi University of Kentucky Brain atrophy, MTA, WMH, Age
Ali Al-Nuaimi Plymouth University brain disorder
BahaaEddin AlAila University of Georgia deep learning, image regression, temporal prediction
Fadhl Alakwaa Henry Ford Hospital System Imaging genetic
Fakhre Alam University of Malakand Image Registration, Rigid and Non-rigid
Saruar Alam Chosun University Classification MRI Image and Gene sequence of AD Patients
Syed Farhan Alam Zaidi Comsats Institute of Information Technology AD, Alzhimer
wiener alan Beihang University 7731242f
Mukhtar Alansari king Abdulaziz University AD , classification , CAD
MERVE ALANYALI UNIVERSITY OF WARWICK/THE ALAN TURING INSTITUTE deep learning, convolutional neural nets, data science
Ebrahim Alareqi Jackson State university AD, Social Determininates
Thomas Alderson Ulster University thalamo-cortical modelling DTI
Hassan Aleem Georgetown University VBM
Aishwarya Alex University of Luxembourg Alzheimer’s Disease Big Data DREAM Challenge #1
Kelner Alex Colegiul National "Vasile Lucaciu" Regression
Daniel Alexander UCL Event-based model.
Paul Alexander SEUCE Deep Learning
Daniel Alexander UCL Alzheimer's disease, progression, classification
Jacob Alexander University of Pennsylvania Hospital Data management
Panagiotis Alexopoulos Department of Psychiatry and Psychotherapy MCI, prognosis, dementia due to AD
Jessica Alfoldi Broad Institute of MIT and Harvard gnomAD, ExAC, data aggregation
Ayesha Ali University of Guelph Weighted Graph, Group Lasso, Prediction
Imdad Ali IIUI Classification
shirin alimoradian science and research branch islamic azad university I want analysis ADNI for master thesis.
Paul Aljabar King's College London Machine-learning, biomarkers
Hasan Aljabbouli New Jersey City University data mining autism
Almir Aljovic International Burch University Artificial Neural Networks, Analysis, Alzheimer
Shreshta Alladi University of southern california MRI, image detection, phantom, image type
Travis Allen Cornell Tech Machine Learning
Genevera Allen Rice University data mining; statistics
Luz Maria Alliende Pontificia Universidad Catolica de Chile cognitive reserve, brain imaging
Frankis Almaguel Wake Forest Baptist Medical Center Molecular Imaging
Ina Almdahl Oslo University Hospital Cerebrospinal fluid Amyloid Depression
Hannes Almgren Ghent University Effective connectivity, structural connectivity, cognition
Carmen Alonso Montes BCAM - Basque Center for Applied Mathematics machine learning, image processing, data mining
Tasneem Alowaisheq Indiana University multi task learning, machine learning
Saif Aldeen AlRyalat University of Jordan Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Majd Alsado University of Alberta practice, personal
Abdalrahman Alsaedi Western Michigan University EMR, BIG DATA MINING,
Haifa Alshehri Taif University early diagnosis ,Alzheimer , Classification
tooba Altaf UET Taxila Alzheimer’s disease
Marie Altendahl University of California, San Francisco Empathy, Theory of Mind, Dementia
Andre Altmann University Collage London Imaging Genetics, Next Generation Sequencing
Ashkan Alvand Islamic Azad University of iran ,garmsar branch alzheimer,fmri,graph theory
Trevor Alvord Columbia University Tau Proteins, White Matter Hyperintensities, Alzheimer's
Mariam Aly Columbia University cognition, machine learning, pattern analysis, genetics
Raid Alzubi Uni of the West of Scotland Complex diseases, SNP selection, Machine learning,
ali amani tabriz university 3750275025am
Robert Amaral Douglas Mental Health University Institute hippocampus, white matter, Alzheimer's disease
Mythri Ambatipudi Saint Francis High School Machine Learning
Dan Amendola Sapienza Universiti of Rome OLAP, Data Mining
remya amernath ponjesly college of engineering threshold,segmentation
Echtioui Amira enis ya allah1
Inge Amlien University of Oslo MRI, multisample
Nicola Amoroso Bari University (Italy) Complex manifolds, Classification, Segmentation, Hippocampus
Hakima Amri Georgetown University AD, MCI
Krylova Anastasia VIGG RAS 1995yecz
Athanasios Anastasiou Swansea University Electronic Health Records, Data Modeling
Jani Anbarasi Agni College of Technology Alzheimer disease, Image Processing Scheme, Neural Network
Gholamreza Anbarjafari University of Tartu Alzheimer disease, statistical analysis, deep learning, super resolution
Valerie Anderson Oregon Health & Science University 18F-AV-45 PET; DCE-MRI; blood CSF barrier
Wes Anderson Eli Lilly and Company Alzheimer's pre-clnical research
Loretta Anderson Johns Hopkins School of Public Health Alzheimer's Disease; Disease Progression; MCI; Biostatistics
Jeff Anderson University of Utah MRI, MCI
Jovan Andonov ETH Zurich machine learning, predicting age from mri
Vesna Andova Faculty of electrical engineering and IT Alzheimer’s Disease, similarity measurement, image retrieval, data mining
Irene Andreopoulou Technological Educational Institute (T.E.I) of Western Greece Medical image processing, PET, classification, SVM
Shea Andrews Australian National University Genetics, using ADNI data as a teaching example, Friday Harbor
K Abigail Andrews University College London PET, MRI, CSF, asymptomatic AD, biomarkers
Cameron Andrews University of Sydney Machine Learning
Michel Angeles Uni Stuttgart Deep Learning, RFNNs.
aziz anne-laure hospital purpan brain
Ghulam Jillani Ansari Comsats Institute of Information Technology deep learning, medical imaging, fMRI, dMRI, CT
Sharaf Ansari University of Waterloo Alzheimer's disease
Kaarin Anstey Australian National University Alzheimer's disease, genetics, epistasis
Isadora Antoniano Villalobos Bocconi University Youden_index Nonparametric_inference covariate_specific_diagnosis
Augusto Antunes Kunumi Alzheimer's disease, Deep Learning
Zhang Aoshuang university of science and technology of China ADNI, machine learning, fMRI
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
Frank Appiah University of Kentucky biomarkers related to all forms of dementia
Dace Apsvalka Medical Reseach Council Hippocampus
abazar arab K.N.Toosi AD detection functional fmri
wasana madushanka arachchi General Sir John Kotelawala Defence University VBM, DBM, Alzheimers, controls, aging
Walid Aransa LIUM Deep learning
Miguel Ángel Araque Caballero Klinikum der Universität München MRI, PET, DTI, APOE, amyloid-beta
Adriel Araújo Pontifícia Universidade Católica do Rio Grande do Sul Research.Alzheimer.Study
Mohammad Arbabyazd INS reconstruction, virtualisation
Pablo Arbelaez Universidad de los Andes classification
Miguel Arce Columbia University Medical Center Genetics, using ADNI data as a teaching example, Friday Harbor
Kellie Archer The Ohio State University ordinal response; discrete response; high-dimensional data; penalized methods
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
Jocelyn Argueta University of Southern California BRCA1, women's risk, genetic analysis, SNPs, gene expression
Victor Arias University Simon Bolivar deep learning, alzheimer, iron maps
Ivan Arisi Fondazione EBRI “Rita Levi-Montalcini” Alzheimer, dementia, prediction, Decision Support System
Steven Armentrout Parabon Computation MDR, epistatis, cloud computing
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
Steven Arnold University of Pennsylvania cerebral reserve
Steven Arnold Massachusetts General Hospital insulin, cholesterol, hypertension, hippocampal atrophy, amyloid, tau, leptin
Thalida Arpawong University of Southern California Genetics, using ADNI data as a teaching example, Friday Harbor
Salim Arslan Imperial College London machine learning, dementia, Alzheimer’s disease
Emilio Artacho-Perula University of Castilla-La Mancha Alzheimer, Euclidean distances, MRI
Christoph Arthofer University of Nottingham MR brain segmentation
Zobair Arya University of Oxford Diagnosis, machine learning, temporal modelling, multi-modal analysis
Carlos Asensio Pizarro UAM Alzheimer DNN
Wes Ashford Stanford leptin, Alzheimer, blood, dementia
saima ashraf karachi university progression
Azhaar Ashraf Imperial College London Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Kathleen Askland Butler Hospital/School of Medicine, Brown University analytic methods, machine learning, genetics
Per Aslaksen University of Tromsø Alzheimer, freesurfer, tDCS
Eric Aslakson Poiema, LLC adni transmart
Toshihiko Aso Kyoto University Graduate School of Medicine BOLD signal, cerebral blood flow, venous drainage
Michele Astphan Rhode Island Hospital request
Dimitrios Ataloglou Aristotle Univercity of Thessaloniki hippocampus segmentation, convolutional neural networks
john atanbori University of Lincoln Classification
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Argus Athanas UCSD GWAS, Glaucoma, Controls
Roozbeh Atri Florida International University MRI Alzaimer process
April Au University of Toronto estrogen, sex differences
Maike Aurich Université du Luxembourg Metabolic modeling, metabolomic data
brian avants Biogen brain, thickness, ANTs, conversion, amyloid
Allan Avila University of California, Santa Barbara Koopman Operator, nonlinear dynamics, dynamical systems
Tzvi Aviv AvivInnovation caspase-6, app, tau,
Niharika Awasthi Ashok and Rita Patel Institute of Integrated Study and Research in Biotechnology Clinical assessment data, demographic data
suyash awate IIT Bombay segmentation evaluation
Aymen Ayaz National University of Science & Technology, Islamabad Pakistan classifier, automatic, MRI, early, diagonosis, Alzheimer
Yesim AYDIN SON Middle East technical University Data mining, Hybrid Methods, SVM-ID3
Dogu Baran Aydogan INI / USC T2, hippocampus
Murat Ayhan Isik University predictive modeling; Bayesian classification; deep learning
Scott Ayton University of Melbourne CSF amyloid b, tau, heart rate, blood pressure
Deepak Nag Ayyala Medical College of Georgia, Augusta University time series; resting state; high dimensional inference;
Nasir Aziz Leiden University Medical Center body weight
ADEL AZIZ RIVERSIDE REGIONAL MEDICAL CENTER/ EDWARD VIA COLLEGEOF OSTEOPATHIC MEDICINE sex incidence, atypical Alzheimer Dementia
Elham Azizi Pereleman School of Medicine, University of Pennsylvania ASL, Signal processing
Mohd Hafrizal Azmi Universiti Putra Malaysia PET/CT, AD classification
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Kevin Bach IUPUI Neuroscience
alexandra badea Duke CIVM mri, imaging, analysis
Steven Baete NYU School of Medicine Orientation Distribution Function analysis, Diffusion MRI
Asim Bag UAB hippocampus
Shweta Bagewadi Fraunhofer Institue SCAI CO-expression analysis
Haoli Bai UESTC classification
Xiangqi Bai AMSS, CAS bxq1045043020
Zilong Bai University of California Davis spatiotemporal, network discovery
Yuchen Bai Janssen Research and Development Methylation, Biomarker, Disease Progression
Geoffrey Baird University of Washington, Seattle Biomarkers
Zhang Baiwen Beijing University of Technology AD,MCI,classification,big data mining
John Baker Janssen R&D Diagonsis, Progression, Biomarkers
Elizabeth Baker King's College London AD progression, rate of cognitive decline
Arnold Bakker Johns Hopkins University Entorhinal Cortex
Erika Ball Duke University "Quantile Regression" "Statistical Modeling" "Hippocampal Atrophy"
Miguel Ángel Ballén Galindo National University Of Colombia IMR DataBase Alzheimer´s Trastorn Investigation Software Mathematics
chao ban University College London diagnosis machine learning
Amin Banaei AJA university of medical sciences Alzheimer disease, early detection
Dipankar Bandyopadhyay Virginia Commonwealth University DTI, tensor regression, spatial methods
Ki Hun Bang Yonsei Univ What do you mean the Keywords?
SungKyu Bang Hanyang University Medical Imaging
Katherine Bangen University of California, San Diego vascular risk, cerebral blood flow, amyloid
Sarah Banks Cleveland Clinic CSF neuropsychology
Leonie Banning Maastricht University Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
wan yun Bao National taiwan university using statistical model to classify MRI pattern
Rita Barakat University of Southern California Stroke, TBI, brain injury, neurodegeneration, therapy
Eduardo Barbará Universidad Autónoma Metropolitana (UAM) image processing data analize
Beatrice Barbazzeni Max Planck Institute for Biological Cybernetics fMRI
Philip Barber University of Calgary stroke; TIA; brain atrophy; dementia
Robert Barber University of North Texas Health Science Center Alzheimer's disease genetics
Adriano Barbosa da Silva University of Luxembourg AETIONOMY
Flavia Roberta Barbosa de Araujo Federal University of Pernambuco Machine Learning, Alzheimer, GWAS, Tools, SNPs
Giuseppe Barisano USC Stevens Neuroimaging and Informatics Institute Quality Control, MRI
Josephine Barnes UCL Institute of Neurology hippocampus, whole brain
Jennifer Barredo Brown University/VHA PTSD, depression, TBI, fMRI
Olivier Barret IND PVC, centiloid
Matthew Barrett University of Virginia School of Medicine Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
Barsam Barsamian Loma Linda School of Medicine MRI, DTI, NODDI, Alzheimers, AD
Andrey Barsky University of Nottingham brain extraction, segmentation, reliability
Fabian Bartel VU University Medical Center hippocampus segmentation, harmonized hippocampus segmentation protocol
Jakub Bartoszewicz Adam Mickiewicz University vGWAS, SNP, genome, brain structure, neuroinformatics, genomics
David Bartram-Shaw AIMIA kaggle
Caroline Barwood University of Nottingham Alzheimer's
Suryakanth Basavaraj BMSITM MRI,PET
Arshitha Basavaraj National Institute of Technology, Karnataka,Surathkal volume of grey matter and hippocampal region, MRI, fMRI, default net.,algorithm
Shaik Basheera Research Scholar, Department Of Electronics and Communication Engineering, A.N. Brain Disorders
Ahmed Basiouny alexandrie university brain cancer,mri
BHUVANESHWARI BASKARAN SSN COLLEGE OF ENGINEERING MEDICAL IMAGE PROCESSING
Sumana Basu McGill University MRI
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Veeky Baths Birla Institute of Technology & Sciences, K. K. Birla Goa Campus Cognitive diseases, Computational Neurosciences
Deepti Bathula Indian Institute of Technology Ropar Longitudinal Analysis Algorithms
Nematollah (Kayhan) Batmanghelich MIT Biomarker, Pattern Recognition, MCI
Roman Bauer Newcastle University computational neuroscience
Corinna Bauer Boston University School of Medicine T2 algorithms, MRI manufacturer
Christian Baumgartner ETH Zurich medical image analysis, machine learning
Vanshika Bawa Delhi Technological University Alzhiemer's disease diagnosis, PET scan analysis
Peter Bayley VA Palo Alto Health Care System, CYP191A, hippocampus, apoe4, neuropsychology
Roza Bayrak METU CNN, MRI, machine learning
Ali Bayram Istanbul University Field map
Yakoub Bazi King Saud University machine learning, artificial inteligence
Thomas Beach Banner Sun Health Research Institute gender; sex; Alzheimer's disease; atrophy; cortex; cerebrum; hippocampus
Derek Beaton Baycrest partial least squares, multivariate, genetics
Kristin Beaudoin American University Alzheimer's, DNA data, sample
Christian Beaulieu University of Alberta DTI, ExploreDTI, tract-specific analysis, registration, MATLAB
Helen Beaumont University of Manchester diffusion DOC atlas
Rodrigo Bechelli Centro universitário da FEI machine learning, wavelet
Cassiano Becker University of Pennsylvania networks, spreading processes, compartmental models, alzheimer's disease
Laurel Beckett UC Davis Biostatistics
Alun Bedding AstraZeneca Longitudinal disease progression
Simone Beer Forschungszentrum Juelich quantitative PET
Joanne Beer University of Pittsburgh prediction, statistics
Mirza Faisal Beg Simon Fraser University shape analysis, longitudinal, registration, computational anatomy
Mirza Faisal Beg Simon Fraser University MR, LDDMM, segmentation, registration, statistical shape analysis
Qumars Behfar Cologne University hospital Connectome
Hamed Behjat Science & Art University Alzheimer's Disease, Classification/Prediction, MRI
Hamid Behjat Lund University shape analysis, topological similarity, classification, early diagnosis
Sam Behseta California State University, Fullerton Bayesian modeling, SNPs, population models
Lynn Bekris Cleveland Clinic Lerner Research Institute apoe, tomm40
Mahanand Belathur Suresh Sri Jayachamarajendra College of Engineering AD,MCI
Nadia Belichenko Stanford AD
Maura Bellio University College London graphic user interface; MRI; disease progression models; neurodegenerative
Mikhail Belyaev Skolkovo Institute of Science and Technology disease progression, machine learning, data fusion
Shane Bemiller IUPUI Inflammation, Alzheimer's Disease, Aging, TBI
olfa ben ahmed National Engineering School of Sfax image indexing, AD detection
Fayçal Ben Bouallègue Montpellier University Hospital amyloid PET, quantification, texture, morphology
Michael Benedikt Oxford University data integration
Jared Benge Baylor Scott and White Health Cognition, memory, psychometrics
Andreana Benitez Medical University of South Carolina MoCA, Item Response Theory
Jose María Benlloch Spanish Reseach Council beta-amyloid plaques, brain PET detector, Alzheimer, classification algorithms
Marianne Benn Copenhagen University Hospital LDL cholesterol
Miled basma bentaiba ESI medical diagnosis, case based reasoning, randomisation
El Mehdi Benyoussef FSAC Deep Learning, CNN, BET, Alzheimer, IRM Analysis
Tammie Benzinger Washington University MRI
David Bergeron Université Laval MMSE, MoCA, conversion, screening
Marco Berlot Cornell University AD
Laiss Bertola Universidade Federal de Minas Gerais Genetics, using ADNI data as a teaching example, Friday Harbor
Alaa Bessadok High institute of management - Gabes - Tunisie Big data, healthcare, classification, prediction, alzheimer disease
John Best University of British Columbia forecasting, TADPOLE, regression-based prediction
Richard Betzel University of Pennsylvania complex networks, control theory, neurodegeneration
Mauritz Bezuidenhoudt Novartis Composite endpoint
Nikhil Bhagwat University of Toronto Machine Learning, Biomarkers, Classification
shailesh bhalerao G.H.Raisoni College of Engineering, Nagpur imaging disease biomarker development
Anindya Bhandari Indian Institute of Technology, Kharagpur SNP, Alzheimer's, trends
kusum bharti PDPM-IIITDMJ machine learning, feature selection, biomarker
Harsh Bhasin Jawahar Lal Nehru University MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
Pushkar Bhatkoti Charles Stuart University ADANI dataset KSA
Priya Bhatt University of Southern California genetics, gwas, pwas, parkinsons, alzhiemer's disease
Priya Bhatt Oregon Health and Science University gwas, alzheimer's disease, statistics
Rhea Bhatta University of Pennsylvania gene-environment education interaction
Sudeepa Bhattacharyya University of Arkansas for Medical Sciences Metabolomics, Bioinformatics, Omics, Statistics
Jinbo Bi University of Connecticut Machine learning; Deep learning; Heritable component analysis;
Harvy Bi Biomedical and Information Engineering PET image data
SHIJIA BIAN DUKE UNIVERSITY TADPOLE CHALLENGE: https://tadpole.grand-challenge.org/data/
Rene Bidart Waterloo CNN
Murat Bilgel National Institute on Aging FDG, amyloid, DTI, MRI, atrophy, longitudinal
Thibo Billiet KU Leuven default mode network
Jake Billings University of Colorado Denver TensorFlow, machine learning, cnn, cvolutional neural networks
Jacob Billings A Public Sphere Alzheimer's Challenge
yang bin guilin electric technology university MRI image
Franciszek Binczyk Politechnika Śląska machine learning, Gaussian mixture model, bi-clustering
zhang bing daln martime university predict the individual brain function connectivity
Huang Bingsheng Shenzhen University MRI AD Auxiliary diagnosis Classification
Christopher Bird Cleveland Clinic freesurfer, machine learning
Gérard Bischof University Hopsital Cologne Alzheimer's disease, resting state, fMRI
Ram Bishnoi Medical College of Georgia dementia, latent variables, neuroimaging
Shameek Biswas Celgene genetics, progression, biomarkers, imaging
David Bjelke The Feinstein Institute for Medical Research CMRglu, ROI
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
James Blair University of Virginia Cognitive Impairment, Structure, T1
Gilles Blanchard University of Potsdam Data analysis, Statistics, Machine learning, patient adaptive prediction
Daniel Blezek Isomics, Inc. radiomics, machine learning
Yannick Bliesener University of Southern California MRI, image denoising, machine learning, unsupervised learning
Toby Bloom New York Genome Center Alzheimers Disease, centenarians, Ashkenazi
Jenna Blujus UWM Alzheimer's disease
Dominik Blum University Hospital Tuebingen Parkinson, Cognition, FDG, denoising
Jan Krzysztof Blusztajn Boston University School of Medicine CSF, plasma, biomarkers
jun bo Northeastern University Alzheimer classification
wu bo Beihang University image retrieval
Ravi Boda Osmania University MRI segmentation, Bias field estimation
Ronald Boellaard University Medical Center Groningen Image methodology, quantification, processing, classification
Piotr Bogorodzki Warsaw University of Technology LDA, SVM, freesurfer, VBM
Hrvoje Bogunovic Medical University of Vienna TADPOLE
Arun Bokde Trinity College Dublin MRI, grey matter, volumetric, hippocampus
Ehsan Bolhasani Institute for research in fundamental sciences Multimodal fusion
Borna Bonakdarpour Northwestern University Resting state fMRI, language network
Matthew Bonazzoli Macalester College Alzheimer's Disease, Machine Learning, Aging
Ana Bondioli University Center Eniac IA, Diagnosis
Alexandre Bône ICM (Brain and Spine Institute) statistical learning, longitudinal data sets, classification, prediction
Luke Bonham Johns Hopkins University normal pressure hydrocephalus, Alzheimer's disease, mild cognitive impairment
Alireza Borghei Tehran University of Medical Sciences tadpole
Jennifer Borkowsky Genentech biomarkers
Danielle Borrajo University of Southern California neuroimaging, genetics
Isabelle Bos Maastricht University Amyloid based cognitive norms
Paolo Bosco INFN Alzheimer's Disease, network analyses
Zoran Bosnić University of Ljubljana Alzheimer; data mining; computer science; decision support
Nicholas Bott University of California San Francisco cognitive aging; structural imaging; inflammation
Renato Botter Maio Lopes Rodrigues UNICAMP machine learning
amani boughanmi Higher Institute of Applied Sciences and Technology of Sousse AMANIISSATSO2017
haralabos bougias university hospital dti
Thomas Boulier INSERM tauopathy, mathematics, numerical simulation
Pierrick Bourgeat CSIRO ICT Centre Segmentation, registration, longitudinal study
Jenna Bourgeois Washington University Biomarkers, alzheimers, neuroscience
Jessica Bourgin Université Savoie Mont Blanc Amygdala; Attentional network
Samira Bouyagoub NHS national health service UK CJD; DEMENTIA, SCJD
Mike Bowes Imorphics Ltd automatic identification measurement sub-cortical
Chris Bowles Imperial College London generative adverserial network, latent encoding
Richard Boyes Renishaw PLC segmentation, surgical planning
Andrea Bozoki Michigan State University FDG-PET; PIB-PET; Alzheimer's disease
Tyler Bradshaw University of Wisconsin attenuation correction
Joana Braga Pereira Karolinska Institute CSF, MRI
yoann brahami ariel university HarP 135 final release
Simona Maria Brambati Institut universitaire de gériatrie de Montréal VBM, Gray matter, Structural covariance
Jose Bras UCL, Institute of Neurology Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie UCLA connectivity, APOE, clusterin, cardiovascular
Ralph Brecheisen Maastricht University Cloud computing, machine learning, Alzheimer
Noa Bregman Tel Aviv Medical Center verbal fluency
James Brewer UCSD subregional change MRI, PET
Alexia Briassouli Centre for Research and Technology Hellas MRI, PET, dementia, mci, cohorts
Adam Brickman College of Physicians and Surgeons, Columbia University white matter hyperintensities, PIB, amyloid
Robert Bridges Aegis Imaging Consultants Hypometabolism
nabila BRIHMAT Inserm resting-state, networks,
Benjamin Brinkmann Mayo Clinic epilepsy, PET, MRI
Markus Britschgi Roche new bioinformatic tools, correlating pathology with plasma proteins
Thomas Broers Leiden University Feature extraction, SVM, classification, neuroimaging data
Esther Bron Erasmus MC Classification
Maria Brown Murray State University cognitive reserve, MCI, linguistic background
Matthew Brown University of Alberta machine learning, diagnosis, prognosis, biomarkers
Jesse Brown University of California San Francisco hippocampus
Abel Brown NVIDIA machine learning, deep learning
Bobby Bruce University College London TADPOLE
James Brunberg UC Davis Alzheimer disease, Huntington disease, fragile x premutation syndrome
Iva Brunec University of Toronto Hippocampus, Memory decline, fMRI
Douglas Bryant University of Oklahoma Visual Neuroscience Lab Harmonized Hippocampal Volume Protocol
Seok-Jun Bu Yonsei University machine learning, deep learning
Tao Bu The First Affiliated Hospital of Xinjiang Medical University serum folate concentration; mortality; alzheimer's disease
Giovanna Bubbico ITAB, Institute for Advanced Biomedical Technologies DTI bilingualism normal aging
Peter Bubenik University of Florida topological data analysis
OMONIGHO BUBU UNIVERSITY OF SOUTH FLORIDA sleep deprivation, Alzheimer's Disease, beta-amyloid
Daniel Buchanan Briar Woods High School Alzheimer's disease, data, machine learning, prediction, bioinformatics
Hans-Georg Buchholz University Medical Center NEUROSTAT, SPM12
Bradley Buchsbaum Baycrest Centre for Geriatric Care fMRI PET correlation
Katharina Buck Roche Diagnostics Elecsys CSF Measurements
Rachel Buckley Massachusetts General Hospital/Harvard Medical School subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Charley Budgeon University Of Western Australia Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Derek Buhl Pfizer Alzheimer's
Manuel Buitrago Sánchez Universidad de Sevilla ImageJ PER
Saurabh Bundela Independent Research computational biology, bioinformatics
Saurabh Bundela Abbvie computational biology, biomarkers, statistics, bioinformatics
Irina Burciu University of Luebeck manifold sensing, Alzheimer disease, classification
Ninon Burgos University College London PET synthesis
Shanna Burke Florida International University Alzheimer's disease, neurodegfeneration, amyloid
Michael Burke Council for scientific and industrial research Machine learning, dementia prediction
Katherine Burn University of Melbourne cognition; inflammation; amyloid
Jeffrey Burns University of Kansas School of Medicine body mass index, diabetes, hippocampal atrophy, whole brain atrophy
Gully Burns USC ISI Knowledge Engineering, Semantic web, Information Integration.
Tomasz Burzykowski Center for Statistics biomarker, Alzheimer's disease, biostatistcs
William Bush Case Western Reserve University Loss of Y, Copy Number
John Bush NEU Alzheimer
Stephanie Buss Beth Israel Deaconess Medical Center cognitive reserve, exercise, education, music, social
Bradley Butcher University of Sussex Deep Learning Alzheimer
P. Monroe Butler University of California San Francisco Hippocampus, history of opiate exposure, ApoE
Victoria Butt University College London machine learning alzheimers classification normal ageing
Joseph Buxbaum Mount Sinai School of Medicine integrated-network-analysis
Paul Byrnes University of Liverpool machine learning, pattern recognition, Bayesian framework
sandeep c s COLLEGE OF ENGINEERING, TRIVANDRUM mri, pet
Yuliana Cabrera University of Southern California ADNI
Cristóbal Cabrera Universidad Rey Juan Carlos de Madrid grapht algorithm
María Nieves Cabrera Hospital Clínico San Carlos Posterior cortical atrophy, Alzheimer desease, FDG, amyloid PET
Ylermi Cabrera-León Universidad de Las Palmas de Gran Canaria Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
ANGEL CADENA UDEM Alzheimer, MSI, ethnicity
winda cahyaningrum UB Brain Tumor
Siqi Cai Shenzhen Institutes of Advanced Technology fMRI, functional network, topological property
Zhen-nao Cai northwester polytechnical university machine learing, data mining
erik cai wenzhou university multimodal neuroimaging
Nigel Cairns Washington University neuropathology
Tomas Cajka University of California, Davis LC-MS, lipidomics
Matthew Calamia Louisiana State University mild cognitive impairment, neuropsychiatric symptoms, dementia
Maria Eugenia Caligiuri Università "Magna Graecia" di Catanzaro neuroimaging, digital image processing
Christopher Calixte Duke University Alzheimer's early detection cognitive impairment
Brandy Callahan University of Calgary diagnosis, neuropsychology, dementia, mci, norms
Frederic Calon Universite Laval Alzheimer
JOSE ANTONIO CAMPOS LOPEZ Universidad Politecnica de Madrid hippocampal atrophy alzheimer
Oliver G Campos Trujillo Universidad autonoma metropolitana classification, identification, Alzhaimer
Megan Cannon Templeton High School APOE, Alzheimers
Bo Cao University of Texas Health Science Center at Houston Machine learning
HONGLIU CAO INSA ROUEN Random Forest, dissimilarity, heterogeneity
Jiguo Cao Simon Fraser University brain network, QTL mapping
Peng Cao Northeastern University Machine learning
Yan Cao University of Texas at Dallas image analysis
Guanqun Cao Auburn University functional data, ADNI
Aristides Capizzano University of Iowa Hospitals & Clinics longitudinal MRI, neurodegeneration, phylogeny
DANIEL CAPON BLOOD SYSTEMS RESEARCH INSTITUTE protein engineering, antibodies, amyloid beta, biomarker
John Caporelli Cleveland Clinic Lou Ruvo Center For Brain Health MRI upload
Pablo Cappagli Instituto Balseiro registration algorithms
Arvind Caprihan Mind Research Network WMH, Diffusion, Connectivity, Cortical damage
Angelika Caputo Novartis Pharma AG Cognitve composite
Jeremy Carmasin Massachusetts General Hospital PIB FDG AD MCI
Owen Carmichael UC Davis cortical thickness
Miguel Adolfo Caro Parrado Universidad Nacional de Colombia brain aging patterns
Sarah Carr Case Western Reserve University amyloid, POSET
Jason Carrier carrier diagnostics AI learning
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
Tiago Carvalho Federal Institute of São Paulo Machine Learning, Deep Learning, Information Fusion
Janessa Carvalho Brown University Friday Harbor
carolina carvalho UFF AD MCI NC
Luis Carvalho Boston University imaging genetics, gwas, latent genotype, spatial genomic models
Francesco Paolo Casale Microsoft GWAS, images, statistical testing, multi-trait
Adrià Casamitjana Universitat Politència de Catalunya PhD, machine learning, bioengineering, early stage of AD
Ramon Casanova Wake Forest University School of Medicine Machine Learning, Regularization
David Cash University College London familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Pete Castelluccio Eli Lilly and Company alzheimer
Isabella Castiglioni National Reserach Council AD, MCI, image classification, diagnosis, MRI, PET
Carrie Caswell University of Pennsylvania joint modeling, left truncation, longitudinal, time-to-event
Iván Catalinas Universidad Politécnica de Madrid Alzheimer
Liam Cattell Oxford University Registration
Franco Cauda University of Turin damage network, Bayesian statistic, Alzheimer’s Disease
Ileana Cepeda Kansas State University Analyzing Data
Jonathan Cerna Iowa State University Pyruvate Kinase, CSF, biomarkers, AD, MCI, CN
Patricia Cervantes ITESM Tadpole
Alper Çevik Middle East Technical University Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Halil Çevik Izmir Katip Celebi University ADNI,MRI,image processing,vbm,spm
Jungho Cha University of California San Francisco tau, pib
Jiook Cha Columbia University Medical Center deep learning
JONATHAN CHACON California State University, Fullerton ADN; Alzheimer's Disease; APOE; genome-wide association studies (GWAS)
Maria Chagoya Universidad de Monterrey RM images, thesis
Shreya Chakrabarti Indiana University School of Medicine imaging, genetics, biomarkers
Shouvik Chakraborty University of Kalyani MRI, Image Segmentation, ANN
Kingshuk Chakravarty Tata Consultancy Services Ltd. structural/functional connectivity analysis, MCI, Alzheimer's, Classification
Takwa Chammam National School of Engineering, Gabès,TUNISIA Alzheimer, hippocampus segmentation
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Wang Pong Chan UCLA Alzheimer's, Age, Income, Lifespan, Music, Eating
Ganesh Chand Emory University healthy control, MCI and AD
Mritula Chandrasekaran Christ University Brain Cognition
Yu-Chuan Chang National Taiwan University Alzheimer, Data Mining
Che-Wei Chang National Taiwan University machine learning, MRI, DTI, rs-fMRI
Yu-Ming Chang Beth Israel Deaconess Medical Center/Harvard Medical School Alzheimer's, temporal horn, ventricle
Catie Chang National Institutes of Health resting-state fMRI, spontaneous activity, dynamics
ki jung chang ajou university school of medicine late life depression, dementia, MCI, conversion
Yuchou Chang University of Houston - Downtown MRI, segmentation, registration, classification
Hyunggi Chang University of Warwick magnetic resonance imaging, artifacts
RUI CHANG Icahn School of Medicine at Mount Sinai NY Systems biology
Marianne Chanti-Ketterl Duke University Genetics, using ADNI data as a teaching example, Friday Harbor
Steeve Chantrel Olea brain segmentation
Justin Chao The University of Texas at Austin databases
Linda Chao UCSF PIB, MCI, cognition
fadoia chaouech Higher Institute of Management of Gabes fadoia1993
Marianne Chapleau Centre de recherche de l'institut universitaire de gériatrie de Montréal HarP
Arnaud Charil Eli Lilly and Company MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Sambit Chatterjee BITS Pilani, Hyderabad Campus gwas, gpu, elastic map reduce, paralleization
Pratishtha Chatterjee Macquarie University plasma ferritin, serum ferritin, iron, brain amylid load
Zainab Chaudhry FAST-NU AD
Harmanpreet Chauhan CSU Fullerton Training
Gal Chechik Bar-Ilan University Deep learning
Abdallah Chehade University of Wisconsin-Madison data fusion
omkar chekuri university of oklahoma ANAYYZE, AFNI
Kseniia Cheloshkina The Higher School of Economics machine learning, artidicial neural net, deep learning
Xing Chen Pfizer genetics
bo chen Fudan University neural network,complexity
Fang Chen jackson state university image deep learning Alzheimer's
Kewei Chen Banner Alzheimer Institute PET SPM image-derived input function,
Hsian-Min Chen Taichung Veterans General Hospital Band expansion process, Constrained energy minimization, Otsu’s method
Jianhong Chen Pennsylvania State University deep learning, convolutional neural network, classification of AD
Rong Chen Icahn School of Medicine at Mount Sinai protective allele, Alzheimer's disease
Haiwei Chen UQ correction
GENG CHEN soochow university Discriminative dictionary learning;Sparse representation;Structural MR images
Ying-Hsiang Chen Bioinfotronics Research Center Intelligent, cloud computing, infrastructure
Yin Jie Chen University of Pennsylvania Perelman School of Medicine Alzheimer's disease, multimodality, longitudinal
Ningxuan Chen Chinese Academy of Science deep learning, classifer
Ing-jou Chen Chang Gung University AV-45, PET, AD, PCA, SVM
Wanghao Chen Southeast university Alzheimer
Robert Chen Washington University St. Louis ADNI deep machine learning
Tzu-Chieh Chen UC Berkeley MRI, machine learning
chenbingyao chen china registration, compare of registration methods, evaluate
SY Chen Emory University Classification
Xin Chen Merck disease measurements, time of progression, MMSE, CDR, sensitivity
Shuzhong Chen Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences MRI
Xi Chen UT Arlington 3D brain image registration
Jerome Chen Chang Gung University Deep Learning, Alzheimer’s Disease, MRI, FMRI
Kaifeng Chen University of Michigan DTI
Taolin Chen West China Hospital of Sichuan University network study
Xian-gan Chen South-Central University for Nationalities machine learning,deep learning,brain disease diagnosis
Jean Chen Baycrest diffusion, cortical thickness
Gennan Chen Synarc Segmentation
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Ting-Huei Chen Laval University structural equation modeling
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Guanhua Chen University of North Carolina at Chapel Hill Classification, latent subclass
Hsu-Hsin Chen Genentech Alzheimer's Disease
Hugo Chen National Yunlin University machine learning
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Gang Chen Medical College of Wisconsin fMRI, MRI
Yuan-Yi Chen UCLA Bran Visualization
Xi Chen The University of Texas at Dallas machine learning, prediction
Jun Chen University of Michgan data fusion
Yang Cheng University of Shanghai for Science and Technology DTI
zhang cheng chongqing university zc19930227
Danni Cheng Shanghai Jiao Tong University convolutional neural network,Alzheimer's disease, Deep learning,
Hewei Cheng School of Informatics AD, MCI, fMRI, DTI, MRI
Yong Cheng NIH Review data
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
Tanya Chenhall Cogstate Cogstate
Joy-Loi Chepkoech University of Oslo Cognition, research assistant
Venkateswararao Cherukuri PENNSTATE UNIVERSITY Super resolution
Aparna Chhibber Merck Research Labs biomarker genetic
Chih-Lin Chi Univ of Minnesota machine learning, optimization, personalized care, translational research
haoyuan chi sjtu deep learning, feature representation
Gloria Chiang UCSF DTI
Patrizia Chiesa ICM rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Daniel Micah Childress UPENN web application, programming
Yogitha Chilukuri University of Pennsylvania Alzheimer, Machine Learning
Cherise Chin Fatt University of Texas at Dallas dissertation, fcMRI, cortical thicknes
Andrea Chincarini INFN longitudinal studies, MCI, network, atrophy measurements
Christopher Ching UCLA Urgent request for access
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
Soo Hyun Cho Sam Sung Medical Center Amyloid PET
Sooyun Cho Seoul National University normal aging, culture, education
yongrae cho kaist sparse spm
Euna Choi Seoul National University DTI TBSS Early detect of Alzheimer's disease.
Jun-Sik Choi Korea University Deep Learning
Sophia Choi Asan Medical Center PET data
Jaesik Choi Ulsan National Institute of Science and Technology Deep Learning, Recurrent Convolutional Layers.
Yong-Ho Choi hanyang university Imaging genetics
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Yeoreum Choi KAIST/South Korea domain adaptation
IL Han Choo Chosun University Early detection, Alzheimer disease, Biomarker, Combination
Sidhant Chopra Monash University Myelin mapping Sub-cortical
Vishal Chopra JCVC Inc. Artificial Intelligence, MRI Scans, Alzheimer's
Jill Chotiyanonta AnatomyWorks, LLC Brain MRI, Neuroanatomy, Segmentation
PO-HAN CHOU Harvard T.H. Chan School of Public Health cortical thickness, brain asymmetry
Hiba Chougrad CHOUAIB DOUKKALI UNIVERSITY computer-aided diagnosis; Brain MRI; Alzheimer’s disease, Deep learning
Leonidas Chouliaras University of Cambridge DNA methylation, Mild Cognitive Impairment, MRI
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Lauren Christensen University of Southern California brain
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
yufang chu NCTU feature selection,genetic algorithm
Tzu-Chao Chuang National Sun Yat-Sen University cortical thickness, hippocampus subfield, MRI
luo chuanji UESTC Brain medical images, texture feature, morphometric feature, multi-feature comb
Yu chuanjian Xiamen University rearch
Sung Chun Brigham and Women's Hospital Heritability, fine-mapping
Marvin Chun Yale University functional connectivity
Yu-Min Chung College of William and Mary computational topology, topological data analysis
Ai Chung King's College London genetics graph network
jaeeun chung korea university research
Jung-Che Chung National Yang-Ming University Deep learning, Classification
Ai Wern Chung Boston Children's Hospital, Harvard Medical School network theory, diffusion, heat kernel
Darya Chyzhyk Inria connectome, functional connectivity
Adam Ciarleglio NYU Medical School predictive model, MCI, cognitively normal, baseline clinical measures
Ozkan Cigdem EMU parkinson disease, machine learning
Meric Cansu Cinar Acibadem University R-fmri, mild cognitive deficits, cognitive tests, resting state networks
Cindy Cindy CUHK DWI, voxel size, fiber tracking
Claudia Cioli INSERM-CNRS multivariate analysis, imaging, genetic, clinical
Corrado Cittanti Nuclear Medicine Section Amyloid, Florbetapir, Quantification, PET, Alzheimer's Disease
Ana Cives University Hospital of Santiago de Compostela normal patients MRI
Steven Clapp Indiana University School of Medicine MRI, PET, medication
Marissa Clark University of Maryland ADNI
David Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Daniel Clifft Argus BCI, CBI, Virtual Reality
Sharlee Climer Washington University in St. Louis epistasis, genetic heterogeneity
Jessica Cloud McGill University working memory, default mode network, resting state
Sean Clouston Stony Brook University Statistical methods, Alzheimer's disease, brain structure and function
Martin Cloutier Analysis Group Agitation, Alzheimer's, Economic burden
Martin Cloutier Analysis Group Agitation, Alzheimer's, Economic burden
David Clunie PixelMed Publishing and RadPharm, Inc DICOM compression
Shelytia Cocroft Duke University Genetics, using ADNI data as a teaching example, Friday Harbor
Phoebe Cohen University of Southern California, Keck School of Medicine PheWAS, neuroimaging
James Cole Imperial College London Aging, Machine learning, T1, DTI
Michael Cole Rutgers University-Newark cognitive control, resting state
Joseph Cole Portland State University Neurodegenerative diseases,Alzheimer's,Biomarkers,Disease progression score
Diego Collazos-Huertas Universidad Nacional de Colombia sede Manizales Deep Learning, Convolutional Neural Networks, Data Representation
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
Meghan Collier Brown University cognitive, Trails B, predictors, dementia, AD, biomarkers
Joanna Collingwood University of Warwick Biomarkers Across Neurodegenerative Diseases Collingwood
Robert Comley Abbvie inc PET, MRI
Bryan Conklin VoxelRx & Florida Atlantic University machine learning, neuroscience, neural network, deep learning
Lindsay Conner UCF Aging, Decision Making, PFVMC, fMRI
Joanne Conover University of Connecticut Aging, Alzheimer's disease, MRI, FLAIR-MRI
Ivona Contardo-Berning Stellenbosch University Multi-label classification
Ronan Conway National College of Ireland alzheimers dementia
Agata Copani University of Catania beta-amyoid, cell cycle genes
Giovanni Coppola UCLA genetic genomic biomarkers
Syl Corbett University of Calgary hippocampus
fabian Corlier University of Southern California systemic inflammation, covariance structure analysis, brain structural integrity
Rui Correia Institute of Biophysics and Biomedical Engineering Functional Metabolic Alzheimer PET
Joshua Cosman Pfizer Alzheimer's, Biomarker
Sebastian Costantino Instituto Radiologico medicine faculty FASTA Argentina
Sebastian Costantino Instituto Radiologico Alzheimer learning teaching
Olivier Coubard CNS-Fed Neuropsychology, Aging, Eye movements, Vision
Elizabeth Coulson The University of Queensland mechanisms of neurodegneration
Pierrick Coupé LaBRI UMR 5800 hippocampus
Elizabeth Couser University of Maryland, Baltimore imaging, Alzheimer's
Kris Cox CNPRC tau
Patrick Coyle Temple University LASSO, variable selection, post-selection inference, manifold learning
Cameron Craddock Nathan Kline Institute computer vision, deep learning, quality assessment, skull stripping, segmentatio
Paul Crane University of Washington genetics, example data set for learning, Friday Harbor
Karen Crawford USC That
Karen Crawford UCLA Laboratory of Neuro Imaging None
Byron Creese King's College London polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
Ivor Cribben University of Alberta Networks; Longitudinal networks; Resting state
Alessandro Crimi University of Zurich radiogenomics
Theodore Crisostomo-Wynne Walter Reed National Military Medical Center anticholinergics, cognition
Nicolas Crossley P. Catholic University of Chile resting-state fMRI, VBM, structure and function relationship
Etienne Croteau CRCHUS Sherbrooke University PIB, concussion, MRI
Carlos Cruchaga Washington University School of Medicine CSF, plasma, RBM, GWAS, whole-genome
Math Cuajungco California State University Fullerton Neuroscience
sue Cui Southern Medical University DTI analysis
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
NICHOLAS CULLEN UNIV. OF PENNSYLVANIA CCA
Tia Cummins University of Melbourne neuropsychology
Daniel Cuneo UCSF Morphometry, cortical thickness, freesurfer, nonlinear longitudinal registration
vicente cutanda oncovision Molecular image
Max Cynader University of British Columbia Alzheimer's Disease, machine learning, cognitive impairment risk
Chitradevi D Hindustan Institute of Technology and Science Alzheimer's disease
binu D Anna Alzheimer'
Giovanni d'Avossa Bangor University Brain Atrophy, Hippocampus, Cerebellum
Nuno da Silva Luz Saúde MPRAGE, T1, DTI
Ravi Dadsena IIT Madras MRI, CFD Models, Alzheimers
Tian Dai emory university prediction, connectivity
Ning Dai University of Minnesota regional homogeneity; fMRI data analysis; longitudinal
Weiying Dai Binghamton University ASL and fMRI resting state and fMRI task
Hui Dai Keck hospital of USC PICALM; cognition; functional networks; neuroimaging
Davied Hong Daivied Hong South China University of Technology classification
Marko Dakovic FFH freesurfer cortical thickness segmentation
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
stefano damiani The Royal Hospital Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Mouna DAMMAK National Engineering School of Sfax Alzheimer ; segmanttaion; classification; sparse coding
Jessica Damoiseaux Wayne State University functional connectivity, hippocampus, cognition
Kristen Dams-O'Connor Icahn School of Medicine at Mount Sinai Genetics, using ADNI data as a teaching example, Friday Harbor
Zou Dan Fudan University Functional connectivity
Shilpa Dang Indian Institute of Technology Delhi fMRI, DTI, effective connectivity
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Zinkert Daniel Uva Wellassa University Brain, Cortical Thickness
Fabrice Danjou Institut du Cerveau et de la Moelle-épinière (ICM) Mitochondrial DNA; Neurodegenerative Diseases; Whole Genome Sequencing
Eveleen Darby Baylor College of Medicine Alzheimer Disease
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
Agnieszka Dardzinska Bialystok University of Technology database, data mining, KDD
Burcu Darst University of Wisconsin, Madison Alzheimer's disease, cognitive function, metabolomics
Caroline Dartora PUCRS Brain Connectivity, Alzheimer's Disease, MRI, PET
Sultan Darvesh Dalhousie University Alzheimer, MCI, FDG-PET, amyloid-PET, SUVR, early biomarker
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Kalyan Das University of Calcutta categorical,miscategorization, missing ness,
Devsmita Das Stanford University morphometry, MRI, MTT, Alzheimer's disease
Sandhitsu Das University of Pennsylvania hippocampus MCI
Manoranjan Dash A*STAR Heterogeneous Data analytics, diagnosis
Shounak Datta ISI Kolkata Neural Networks
Jérôme Dauvillier SIB - Swiss Institute of Bioinformatics Epistasis
Christos Davatzikos University of Pennsylvania classification, MCI, conversion to AD
Bensamoun David university hospital of Nice morphometry, longitudinal, imagery, neuropsychiatry
Erast Davidjuk University of Colorado Denver MRI, PET, cognitive tests, statistics analysis, computational modeling
Ian Davidson U.C. Davis machine learning, networks
DR INDRAJIT DE MCKV INSTITUTE OF ENGINEERING PCNN, NSCT TRANSFORM, MEMBERSHIP DEGREE
Debraj De Smart Health Beacons LLC deep learning, cognitive health
Renske de Boer Quantib B.V. evaluation, segmentation
Marleen de Bruijne Erasmus Medical Center image analysis
Maya de Buhan Centre National de la Recherche Scientifique facial reconstruction
Mariana de Carvalho Pereira State University of Campinas CNN network, AD biomarkers, AD
Manlio De Domenico Universitat Rovira i Virgili Multilayer networks
Philip De Jager Brigham and Women's Hospital Cognitive reserve
Nuño de la Concha Vega UC3M Alzheimer. Machine Learning. Data Base.
Siemon de Lange University Medical Center Utrecht connectome, structural connectivity, Alzheimer, MCI
Vincenzo De Luca University of Toronto, Centre for Addiction and Mental Health AD, Age at onset, GWAS
Rodrigo de Luis Garcia Universidad de Valladolid DTI, structural connectivity, identification
Matteo De Marco University of Sheffield Alzheimer's disease, mild cognitive impairment, resting state
Mariana De Melo Aguiar UNICAMP ranking, image processing, image segmentation
Dante De Nigris Personal machine learning, MRI, data-driven
Michiel de Ruiter Netherlands Cancer Institute data pooling, breast cancer patients, longitudinal, atrophy
Alexandra de Sitter VU Medical Centrum Amsterdam MRI defacing skullstripping Alzheimer
Javier De Velasco Oriol Instituto Tecnologico y De Estudios Superiores de Monterrey Prediction, Machine Learning, Support Vector Machines, Beta Amyloid
Scott Dean Naval Research Laboratory deep learning
Charles DeCarli University of California at Davis MRI, cerebrovascular disease
Summer Decker University of South Florida Morsani College of Medicine morphometrics
Michael Decker Case Western Reserve University hypoxia, hyperoxia, neurodegeneration
JOHN Del Gaizo Medical University of South Carolina early-onset AD, verbal fluency, amyloid, neuropsychological testing
paul delmar F.Hoffmann-La Roche Ltd. disease progression end-point clinical trial
Jessica Delmoral FEUP machine learning, segmentation, brain PET
zeynep demir University of California San Francisco ADNI
Charles Denby Rhode Island Hospital ADNI-3
YANG DENG Tsinghua University research
Yanjia Deng The Chinese University of Hong Kong MRI, visual function, MCI, AD
Qiao Deng Northeastern University DWI MRI
Wanyu Deng Xi'an University of Posts and Telecommunications Deep learning, Neural Networks
Kristina Denisova Columbia University Medical Center structural and functional MRI
William Denney Blue Peak Consulting disease progression
Brendan Depue University of Louisville PTSD, Amygdala, Morphometry
Thomas DeRamus University of Alabama Birmingham Diffusion Imaging, funcitonal connectivity
Rahul Desikan Martinos Center for Biomedical Imaging MCI, MRI, morphometry
Paula Desplats UCSD DNA methylation, gene expression, tau, MAPT, blood, Alzheimer's, biomarkers
Christian Desrosiers Ecole de technologie superieure Sparse Multivariate Regression LASSO ADMM Pooling
Brian Destrada Recent Graduate Student Amaloyd, Tau
Vivek Devadas Banner Alzheimer's Institute Kewei Chen
Viswanath Devanarayan Abbott Labs biomarkers, disease prognosis, disease progression, multivariate analysis
Sridharan Devarajan Indian Institute of Science MCI, machine learning
Gabriel Devenyi Douglas University Mental Health Institute, McGill University MRI
Ilse Dewachter Université catholique de Louvain AD, MRI, amyloid and tau pathology
Zalina Dezhina Kings College London machine learning, data analysis, statistics
Devendra Dhami Indiana University Alzheimer,MRI,prediction
DIVYA DHARANI Anna university research
Moyez Dharsee Ontario Cancer Biomarker Network integration, analysis
Permesh Dhillon University of Nottingham MRI, DTI, PET
Xin Di University of medicine and dentistry of new jersey connectivity, pet
Nicola Di Mauro University of Bari Alzheimer’s disease, Machine Learning
Kimberly Diah Nova Southeastern University - Biomarkers, AD severitty, MCI, Neuroinflammation
Sara Diamond OCAD University data visualization
Catherine Diaz-Asper Marymount University automated text analysis; language;
Florin Sebastain Dica University of Birmingham 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
David Alexander Dickie The University of Edinburgh Normality Brain pathology Computer-assisted image interpretation Reproducibility
Philip Dickinson McGill University resting state, connectome wide association
Ellen Dicks VU University Medical Center brain connectivity, cognitive decline, graph theory, single subject
Karl Diedrich Perkin Elmer Analytics correlation
Louis Dieumegarde IUSMQ Database
Vanderson Dill Pontifícia Universidade Católica do Rio Grande do Sul Hippocampus Segmentation, Evaluation
Allison Dilliott Western University Genomics, Data Dictionary
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
yanhui ding University of Pennsylvania biomarker detection
Zhaohua Ding Vanderbilt University DTI, fMRI, structure, function
Zhipeng Ding University of North Carolina at Chapel Hill longitudinal image regression
Xiuhua Ding University of Kentucky group based trajecotry model , dementia, sleep apnea
Ivo Dinov UCLA Alzheimer's disease, statistics, shape
Valentin Dinu Arizona State University pathway analysis, complex phenotype, data mining, statistical analysis
Ibrahima Diouf commonwealth scientific and industrial research organisation (csiro) CSF ferritin
Phillip Dmitriev University of Pennsylvania manual tracing
Vitaly Dobromyslin University of Massachusetts Lowell Machine learning, genetics, fMRI, PET
Hiroko Dodge Oregon Health & Science University MRI volumetric changes
Hiroko Dodge University of Michigan & Oregon Health & Science University Big data analysis, TranSMART, biomarkers,
Oriol Dols-Icardo Sant Pau biomedical research institute Genomics, MRI
Sudipto Dolui University of Pennsylvania ASL, signal processing, denoising
Olga Dona McMaster University Fractal Analysis
Frank Dondelinger Lancaster University lasso, prediction
Wen Dong Yanshan University brain network,brain anatomical connectivity,diffusion MRI
Hao-Ming Dong Chinese acdamy of science developmental trajectory; resting-state maps; AD
Shidu Dong Chongqing University of Technology Image Segmentation
Patricio Donnelly Kehoe CIFASIS-CONICET skull-stripping, image processing
Michael Donohue Keck School of Medicine of USC ADCS
Lingraj Dora VSSUT brain tumor detection
vincent Dore CSIRO PET longitudinal
Chase Dougherty Geisinger Health System structural covariance
Mitchell Doughty McMaster University Controls, TBI
N. Maritza Dowling University of Wisconsin-Madison Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Senan Doyle Pixyl Medical MRI Brain Segmentation Cortical Thickness Hippocampus
Andrew Doyle McGill University deep learning
Matthew Dragan University of Nevada, Reno logistic regression, variable selection, categorical models
Bogdan Draganski CHUV voxel-based morphometry
Sorin Draghici Advaita meta-analysis, data integration, subtype discovery
Andrei Dragomir University of Houston AD connectomic biomarkers, genotype-phenotype relation
Erin Drake Brigham and Women's Hospital/Harvard Medical School Data and Publications Committee
Daniel Drake Columbia University elastic net, penalized regression, biomarkers
Derek Drake Harvard University AD
Shilpa Drd Indian Institute of Technology Delhi fMRI, DTI, effective connectivity
Gabriel Dreiman Cornell University TADPOLE
Madelyn Drozdowski Molecular Neuroimaging, LLC / Institute for Neurodegenerative Disorders ADNI, PET, MRI
changde du UCAS machine learning; AD detection
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Yuhui Du The Mind Research Network; Shanxi University Biomarkers, Classification, Clustering
Changde Du University of Chinese Academy of Sciences Early Alzheimer’s disease (AD) diagnosis; Transfer learning; Domain adaptation
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Xingqi Du North Carolina State University Network, machine learning
Wenhao Du CSU dwh1023725
yingying duan southern medical univercity MRI
Yuzhuo Duan Dalian University of Technology registration
Fang DUAN The University of Tokyo DNB, network analysis
Kuaikuai Duan University of new mexico pattern recognition,brain networks
Simon Duchesne True Positive Medical Devices Inc. Biomarkers; Volumetry; Normative data
Simon Duchesne Université Laval Morphometry, MRI, multidimensional analysis
Ben Duffy USC QC
Andrea Duggento University of Rome "Tor Vergata" brain connectivity, granger causality, directed graphs
Juergen Dukart Hoffmann-La Roche PET MRI biomarkers diagnostic models
Matthieu Dumont Imeka DWI DTI HARDI Tracking
Ruth Dunn Goura Victoria Consultants Limited software, analysis
Vu Duong Chonnam National University Alzheimer, dementia, PET, MRI
Baskar Duraisamy Hindusthan College of Engineering and Technology Alzheimer's Disease, Hippocampus, Posterior Cingulate Cortex
Dunja Duran BESTA EPILEPSY PET MULTIMODAL
Tugce Duran Indiana University School of Medicine MRI and PET scans, genotypes
Stanley Durrleman INRIA statistics, longitudinal, spatiotemporal data, image analysis, aging, brain
Joyita Dutta UMASS / Harvard / MGH classification, clustering, deep learning
Martin Dyrba German Center for Neurodegenerative Diseases (DZNE) probabilistic models, multimodal analysis, machine learning, Markov random field
Hadrien Dyvorne Hyperfine Research quality assessment
Amulya E R Sahrdaya College of Engg&Tech Alzheimer's Disease detection
Jennifer Eads Eli Lilly and Company PET perfusion scan, cognition
Jennifer Eastman Northwestern University MCI
Susan Eaton Biogen epidemiology, predictive model
Ainhoa Echeverria Genentech clusterin, ApoJ, eQTL
amira echtioui enis ya allah1
Christopher Edlund University of Southern California gwas
Emily Edmonds University of California, San Diego Mild cognitive impairment; Neuropsychology
Mackenzie Edmondson University of Pennsylvania neuroimaging, high-dimensional
Dagmar Ehrnhoefer BioMed X Innovation Center CSF, tau
Fatima Ehsan National university of science and technology brain ct
Sarah Eisenstein Washington University School of Medicine dopamine SNP BMI
Chima Eke Plymouth University Biomarker discovery
Shereen Ekhlas Cairo Univerity Alzheimer Disease, ADNI, MRI
Fady El-Gabalawy BIDMC adni, machine learning, neural networks
Ahmed El-Maghraby Tanta University Pedigree,Designs in Linkage
fanny elahi UCSF Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
Annie Elander Johns Hopkins School of Medicine cortisol, medial temporal lobe
Annie Elander Johns Hopkins School of Medicine cortisol, medial temporal lobe
Vidhya.E elango Periyar University unstructured data
Mohamed ElBialy Cairo University deep learning, neural networks, machine learning
Ghaidaa Eldeeb faculty of engineering cairo univeristy DTI
Fatmaelzahraa Elgamal University of Louisville Fusion, medical image analysis, early diagnosis of AD
Yuri Elias Rodrigues UFRGS machine learning, distance based algorithms
Jeremy Elman UCSD Pupillometry, aging, dementia
nada elrakaiby Arab Academy for Science and Technology Alzheimer's Disease, Image Processing, Pattern Recognition, MRI
Ghada Elsegaee Arab Academy for Science, technology and Maritime Transport research
Tesfai Emahazion AstraZeneca PLC GWAS, imputed analysis, segmentation analysis
BEHNAZ EMAMI UNIVERCITI AZAD NAJAFABAD alzaymer-bel-classification
Jurriën Embrechts amc machine learning
Mohammad Asif Emran Khan Emon Fraunhofer Institute for Algorithms and Scientific Computing SCAI Neuroimaging Analysis, LONI
Saba Emrani SAS Institute Multi task learning
asieh emrani International University of Imam Reza Feature Selection, Feature Extraction
Miklós Emri University of Debrecen PET, SPM
Barbara Engelhardt Princeton University Automatic feature extraction, statistical models
William Engels Portland State University TADPOLE challenge
Bob Engle Biogen ADNI Stat Programming, Baseline Analyses to understand disease progression
Noam Epstein University of Illinois at Chicago Pharmacoepidemiology
Fusun Er Yeditepe University Alzheimer's Image Processing
Mahdiyeh Erfanian Ferdowsi University of Mashhad statistics. SPC, profile monitoring
Zeynep Erson Omay Yale University School of Medicine longevity, exome sequencing
Javier Escudero University of Edinburgh Machine learning, Decision support, biomarkers
Jason Eshleman IO-Informatics transmart
Simon Eskildsen Aalborg University cortical thickness, brain mapping, segmentation
mohamad eslami tehran university of medical science alzheimer , research
Luis Espinosa York University Traumatic Brain Injury and Alzheimer's Disease
Ryan Essex LONI AD
Oscar Esteban Stanford University quality assessment, structural MRI
Karol Estrada Biogen Alzheimers genetics nerological
Kimberly Ethridge Nova Southeastern University Neuroimaging and cognitive assessments
Seyedrohollah Ettehadi university of sherbrooke biomedical, dignosis
Bouguen Eva Servier Biomarkers Alzheimer Disease Drug Developpement
Ignacio Evangelista Universidad Nacional de Rosario Database, Normative values, Machine learning
Dave Evenden Southampton Universiry Dementia, Disease Modelling, Healthcare Planning
Rina Evtikheeve HIT template brain mri
Siobhan Ewert Harvard Medical School DBS, normalization
Scot Fague Washington University - St Louis AAIC, DIAN ADNI AIBL
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
SHERIN FAIZAL NEHRU ARTS AND SCIENCE COLLEGE SPECT, Partial Least Squares, SVM, Alzheimer’s disease
majid fakheri urumi university alzheimer
Farshad Falahati Karolinska Institutet AD, MCI, MRI, PET, CSF, Multimodal diagnostic index
Ruzong Fan NICHD/NIH association studies
ZHEN FAN Imperial College London AD biomarkers PET MRI
Li fan Chongqing University Alzheimer's disease Mild cognitive asymmetric features
maohua fan Beijing Huachengxingye software development company Ltd. Convolutional Neural Networks,Classification
Sili Fan UC Davis normalization
Jim Fan Stanford University deep learning
Yong Fan Institute of Automation, Chinese Academy of Sciences pattern classification, neuroimage analysis
Yonghui Fan Arizona State University ADNI2-GO MRI data
zhen fan Huashan hospital of Fudan university for reaserch
ZHEN FAN Imperial College London Longitudinal amyloid tau
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
Xiaoling Fang McGill University Alzheimer's disease, MRI, DTI, PET, system failure, brain networks
ZHOU FANG Chinese University of Hong Kong Deep Learnining, Alzheimer's Disease
ZY Fang Peking University fMRI, Alzheimer's Disease, CAD
Zhengyang Fang Peking University fMRI, Alzheimer's Disease
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
Alessandro Fanti Università degli studi di Cagliari Alzheimer features brain imaging MRI
bab far medizinische schule radiology
naemeh farahani Islamic Azad university of sience and research Branch of Tehran Alzeimer
Seyedehrezvan Farahibozorg Amirkabir University of Technology age estimation, brain MRI, fractal dimension, chaotic neural network
Farhood Farahnak Shahid Beheshti University Deep Learning
maryam farajpour ma alzheimer
David Fardo University of Kentucky Pathway-wide association, AD
sadaf farkhani Iran,Esfahan,Najafabad university multi modal medical fusion
Bryn Farnsworth Independent SNPs, GWAS
Hamza Farooq University of Minnesota Diffusion MRI, Structural graph analysis, Alzheimer's Disease
Ammarah Farooq CEME NUST multiclassification, deep learning
Yasmeen Farouk Ain Shams University FPGA GPU
Danielle Farrar Boston University MCI, Alzheimers, fMRI, Executive Function, frontal lobe
Lindsay Farrer Boston University School of Medecine gwas alzheimers meta-analysis adgc
fatemeh fatemehh tehran fateme
Emad Fatemizadeh Sharif University of technology Connectivity, Graph, Manifold
Shizza Fatima National University of Sciences and Technology (NUST) Image processing, cross correlation analysis
Noel Faux Mental Health Research Institute (MHRI) AIBL, Rules Based Medicine Discovery MAP 1, plasma
Noel Faux IBM Research - Australia Biomarkers, prognosis, genomics, cognitive decline
Anne Favan-Niven Washington University in St. Louis Preclinical, Alzheimer's Disease, Biomarker Panel, YKL-40, VILIP-1
Clélia Favary INSERM U1219 BORDEAUX POPULATION HEALTH risk score - dementia - external validation
Amir Fazlollahi CSIRO ASL Perfusion
gao fei Northeastern university Alzheimer's disease
Franklin Feingold USC Neuroinflmmation
Soheil Feizi Stanford PCA
Anthony Fellows Bristol Infirmary Hospital Prediction, MCI, T1 MRI, FDG PET, T2
Grazia Daniela Femminella Imperial College London inflammation; atrophy; AD; MCI
Brad Feng Capital Medidcal University Deep Learning; Alzheimer Disease
Zijun Feng NENU AD, MCI
Xinyang Feng Columbia University AD imaging biomarker
Ao Feng Chengdu University of Information Technology medical image, MRI, Alzheimer's disease, classification, regression
Tao Feng UIH America, Inc PET resolution
Zijun Feng ASU AD, MCI
Sheng Feng AbbVie ApoE, imaging biomarkers, clinical trial designs
Christine Fennema-Notestine UCSD MRI, thickness, morphometry, shape analysis, PET
Aasa Feragen Max Planck Institute for Intelligent Systems, Tübingen, Germany Brain connectivity, diffusion MRI, graph kernels
Marzieh Fereidouni IPM memory, MRI, AD
Miguel Fernandes Faculdade de Ciências e Tecnologia of Nova University of Lisbon Classification
Víctor Fernández UPV/EHU machine learning
Martino Ferrari University of Geneva Compressive Sensing, Compressive subsampling
Ricardo Ferrari Federal University of São Carlos image segmentation, contour models
Sebastiano Ferraris University College London Registration algorithm, diffeomorphisms, stationary velocity field
Luiz Kobuti Ferreira University of São Paulo functional connectivity; resting state fMRI; aging
Francisco Ferreira INESC-ID machine learning, temporal mining, prognostic prediction, prognostic markers,
Hugo Ferreira Faculty of Sciences of the University of Lisbon Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Mark Fiecas University of Minnesota fMRI, connectivity, longitudinal
Els Fieremans New York University School of Medicine freesurfer controls
Cassidy Fiford University College London, Institute of Neurology white matter disease, vascular risk factors
Michal Figurski University of Pennsylvannia UPenn, Leslie Shaw
Massimo Filippi San Raffaele Scientific Institute, Vita-Salute San Raffaele University diagnosis; learning algorithm; 3D convolutions; multimodal MRI.
Teresa Filshtein University of California, San Francisco genetics, Friday Harbor
Teresa Filshtein University of California, Davis Alzheimer's Disease, biomarkers
Caleigh Findley University of Colorado Colorado Springs AD, MCI, APOE4, memory, executive functioning, tau
Elizabeth Finger University of Western Ontario NPI, MRI, PET
Nicholas Firth UCL Event-based model
Florian Fischer Universtiy Medical Center Mainz Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Christopher Fischer Sanford Health NA
Simon Fitall Galileo Analytics LLC Data visualisation, data analytics, alzheimer's
Blair Fleet Michigan State University Image fusion, Alzhemier's, Sparse Representation, Evolutionary Computation
Greg Fleishman LONI IGC, LONI, PAUL THOMPSON, GREG FLEISHMAN
LAMBROS FLOKAS NTUA DTI,Alzheimer's
Alberto Flores Universidad de Monterrey (UDEM) Biomarkers, Engineering, Image Processing
Niels Focke University of Goettingen VBM validation
Wai Yan Fok Research Center for Medical Image Computing segmentation; subcortical structures; severe brain damage; Alzheimer's disease
Nancy Foldi Queens College - City University of New York MTL, HIppocampus, serial position effect
Guilherme Fôlego Universidade Estadual de Campinas AD, ML
Sabrina Fontanella ICM Neuroscience
Erik Forkin Epic deep learning, machine learning, convolutional neural network
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
Belén Fos Guarinos QUIBIM deep learning, medical imaging, diagnosis
Chris Foster UT Dallas | Center for Vital Longevity Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Gregory Founshtein The hebrew University and the Hadassah Ein Kerem medical center Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Clementine Fourrier ICM (Institut du Cerveau et de la Moelle Epiniere) tadpole challenge
Benjamin Franc University of California, San Francisco PET, FDG, fluorodeoxyglucose, chemotherapy, brain, hypometabolism
Clement Francois Lundbeck clinical relevance, modelling, long term consequences
Katja Franke University Hospital Jena BrainAGE, brain aging, biomarker, cognitive decay, prediction,
Mark Fraser Australian National University harmonized Hippocampal protocol, manual segmentation
Mark Frasier Michael J Fox Foundation CSF, biomarkers, neurodegeneration
fernandho freitas University Center of FEI AD, feature extraction, wavelets
Escalin Frency J J St.Xavier's Catholic College of Engineering Alzheimer's disease
Stefan Frenzel University Medicine Greifswald Alzheimer Disease, Machine Learning, GWAS
Yun Freudenberg-Hua Feinstein Institute of Medical Research AD genetics, loss-of-function variants
Brad Friedman Genentech, Inc. bioinformatics genetics
Theodore Friedmann University of California San Diego purine, Alzehimer's
Christoph M. Friedrich University of Applied Science and Arts Dortmund SNP subset selection
Lars Frings University of Freiburg PET; Amyloid; FDG; Medial Temporal Lobe
Giovanni Frisoni IRCCS San Giovanni di Dio FBF - The National Center for Research and Care of Alz ADNI EADNI
Alexander Frolov Stanford University Hospital & Clinics Alzheimer's diseaese, biomarkers, tau, amyloid
Robert Frost University of Utah PET, atypical dementia, neuropsychology
Tong Fu MHH AD, structure connectivity
jilian fu Tianjin Medical University GWAS,grey matter volume ,healthy aldult
Tianyu Fu BIT registration
Ling Fu University of Shanghai for Science and Technology Independent Component Analysis,ICA,FNC
Bin Fu HKU machine learning
Zening Fu the university of hongkong dynamic functional connectivity, mci, classification,
ke fudao Beihang University kai6849868
Emmanuel Fuentes Freelance image processing
Emmanuel Fuentes GE amyloid, PET, MR, aMCI, pAD, images, 3D
Motonobu Fujishima National Center of Neurology and Psychiatry differential diagnosis; Alzheimer's disease; FDG-PET; MRI
ken fujiwara NCGG nilsgo
Tadanori Fukami Yamagata University longitudinal analysis, indicies
Cory Funk Institute for Systems Biology Alzheimer RNA-seq WGS
Diana Furcila Center for Biomedical Technology alzheimer's disease
Jessica Fuselier IUPUI GWAS, Alzheimer's
NAGARJUNA REDDY G KL UNIVERSITY, VIJAYAWADA ALZHIEMERS, DEEP LEARNING
Terry Gaasterland University of California San Diego biomarkers, prediction, progression, early detection, neurodegeneration
Audrey Gabelle Montpellier University Hospital Amyloid, orexin, sleep
Omer Gaddoura Southeast University fMRI, frequency specificity, Alzheimer’s disease
Jin Gahm USC Surface mapping
Chris Gaiteri Rush University networks coexpression
Niharika Gajawelli USC fMRI, MRI, AD, MCI,
Priya Gajjar University of PIttsburgh cingulum, uncinate fasciculus
Alexis Galantino University of Pennsylvania manual hippocampal tracing
Javier Galarza Hernández Polytechnic University of Valencia Predictive model, Deep Learning, Convolutional Deep Learning
Douglas Galasko UCSD cognition
Paola Galdi University of Salerno networks, multi-modal data, classification
Liisa Galea University of British Columbia APOE, Pregnancy, motherhood, hormone therapy, inflammation
gaetan galisot UNiversité de tours *
Antonio Javier Gallego Sánchez University of Alicante Machine learning, pattern recognition
Paul Gallins NC State University data integration neuroimaging genetic
Dragan Gamberger Rudjer Boskovic Institute data clustering, subgroup discovery, intelligent data analysis
Gavin Gan IIT registration, dti
Hong Seng Gan Universiti Kuala Lumpur hippocampus Segmentation, Alzheimer's Disease, Random Walks
Subha Ganapathi Bosch Alzheimer's Disease, Biomarker
Christina Gancayco University of Virginia MRI, network, connectivity, structural changes
Rajeev Gangal Saama Technololgies Inc hadoop, ingestion, clinical, biomarker, images,outcomes
Umesh Gangishetti Emory University CSF, MRI,and PET biomarkers of neuro-inflammation in Alzheimer’s disease (AD)
Marco Ganzetti KU Leuven large ventricles
Tianxiang Gao University of North Carolina at Chapel Hill deep learning, classification, MCI prediction
Ming Gao Qingdao University hippocampus;texture characteristics; diagnose and treat effectively;AD based on
Linlin Gao Harbin Engineering University corner matching, medical image, classification
Fei Gao Arizona State University AD,MCI, Machine Learning
Linlin Gao Harbin Engineering University graph
Yann Gao - deep learning
ju gao Nanjing Brain Hospital network
Jingjing Gao University of Electronic Science and Technology of China early diagnsis of AD
Fei Gao University of North Carolina at Chapel Hill Biomarkers, Joint modeling
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
Yuanyuan Gao sothern medical university PET MRI
qu gaochao Donghu autism
Ranjini Garani Indian Institute of Science analysis
Sara Garbarino UCL Network diffusion models
Ivan Garcia URJC Tool,
Miguel Garcia Boehringer-Ingelheim historical controls, placebo, disease modelling
xiadnai garcia udg software dementia
Jorge Garcia UPM MRI
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Gracian Garcia Quiron PET; SPM; templates
Angel Garcia de la Garza University of Pennsylvania Hippocampal Tracing
Mireia Garcia Gaig Universitat de Barcelona PET
jorge Garcia Novoa UPM Brain
Mar Garcia Valero Fundació Ace Endophenotype study
Jord Garcia-Ojalvo Universitat Pompeu Fabra Brain dynamics, relaxation dynamics, potential landscapes.
Pablo García-Polo Center for Biomedical Imaging Perfusion, Dementia
Gaurav Garg University of Ulster Modeling, EEG, fMRI, Alzheimer's, AD
Divya Garg University of Strathclyde sleep disorders, neuropsychological assessment, MRI
Rahul Garg Indian Institute of Technology Delhi Grangr causality, FARM, Autoregressive Modeling
Valentina Garibotto Geneva University Hospitals FDG PET, tau, Ab42, CSF
Matthew Garvey Georgia Institute of Tecnology 3D PET/MRI viewer
Eduardo Garza-Villarreal Universidad Autonoma de Nuevo Leon diabetes, mild cognitive impairment, genetic, cortical thickness
Fiona Gaskin Open University Alzheimers
Dimitris Gatsios University of Ioannina balance, cognition
Malo Gaubert INSERM Alzheimer’s disease, MCI, presymptomatic, MRI, PET,neuropsychology, longitudinal
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Brandon Gavett University of Colorado Colorado Springs Alzheimer's disease, latent variable models, cognitive reserve, cognitive declin
Giovana Gavidia Biomedical Engineering Research Centre (CREB) of UPC Image processing, lineal mixed models, statistical inference, machine learning
Barzin Gavtash Loughborough University Nasal cavity - CFD - Drug delivery
Jodie Gawryluk University of Victoria white matter, MRI, DTI, cognition
S Gayathri Bharathiar university Alzheimer disease
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
Hugo Geerts In Silico Biosciences Quantitative Systems Pharmacology
Niklaus Geisser UCB Data Mining, Internet of Things, AAL
Junxian Geng Florida State University genotype-phenotype associations; subpopulation
Claudio Gentili University of Padova SVM, Depression, Cognitive functions
Felix Gess individual research Alzheimer , artificial neural networks, DNN, RNN
Olivier Gevaert Stanford University deep learning multi-scale modeling
Halleh Ghaderi McGill University mri image
shabnam ghahari Islamic Azad University of Science and Research Branch of Tehran alzheimer
zahra ghanbari Tehran University of Medical Science (TUMS) Alzheimer, DTI, SES, hippocampus, memory, BMI
yaghoob ghanbari hormozgan univercity dataset
Ladan Ghazi-Saidi Cleveland Clinic Tau, cognitive decline, AD, biomarker, atrophy
mojgan ghodrati Islamic Azad University, Science and Research branch brain atrophy,atrophy measurement,alzheimer's disease
BEHNAZ GHORBANI AZAD UNI. Alzheimer MRI
Reyhaneh Ghoreishiamiri University of Alberta Early diagnosis
sayan ghosal University of Alberta Image registration, deep learning, quantitative analysis
Saheb Ghosh VIT University alzheimer, Machine Learning
SUKANTA GHOSH JADAVPUR UNIVERSITY MRI DATA SET REQUIRED
Sreya Ghosh University of California, San Diego big data, Machine learning
Saikat Ghosh university of Calcutta mri,tumor
Ankur Ghoshal JU Segmentation
Sukhmanjit Ghumman University of Sherbrooke rsfMRI FunctionalConnectivity Alzheimer's GraphTheory HubAnalysis
Galetta Giannicola Università di Milano FDG PET Alzheimer
Laura Gibbons University of Washington Genetics, using ADNI data as a teaching example, Friday Harbor
karina Gibert Universitat Politècnica de Catalunya-BarcelonaTech predictive, data mining, intelligent decision support, classifiers, mixed metric
Gary Gibson Weill Cornell Medical College conversion
Lasse Giil Haraldsplass Deaconess Hospital Mild cognitive impairment; external validity
Jorge Mario Gil Valencia Universidad Tecnológica de Pereira DTI, Pain
Daniel Gillen UC Irvine Statistical Methods; Case-Cohort; Nested Case-Control; Survival Analysis, CSF
Alessandro Giordani Università Cattolica del Sacro Cuore epidemiological studies, risk factors
Diana Giraldo Universidad Nacional de Colombia Morphometric Analysis
Juan D. Gispert Fundació Pasqual Maragall Partial Volume Correction,
Darren Gitelman Northwestern University VBM, covariance
Mario Valerio Giuffrida IMT SCHOOL ADVANCED STUDIES LUCCA Machine Leraning, Registration, Features
Giovanni Giulietti IRCCS Santa Lucia Foundation magnetic resonance, DTI, Alzheimer, mild cognitive impairment
Jesus Giunta FCEN - UNCUYO Deep learning
MADHU GK VVIET vviet
Jesse Glass Temple University Fused Lasso, Structured Classification, Structured Prediction, Network Lasso
Kelly Glavin University of Pittsburgh alzheimers, tract, metrics
Brad Glazier Indiana University Imaging, Genetics, Biomarkers
Carey Gleason University of Wisconsin Intraindividual variability, cognition
Enrico Glerean Aalto University graph theory, fMRI, networks
Tanya Glozman Stanford University structural-MRI, geometric descriptors
Alison Goate Icahn School of Medicine at Mount Sinai Genetics, using ADNI data as a teaching example, Friday Harbor
Michael Godbey Indiana University Southeast modeling, Alzheimer's
Martin Goettlich University of Luebeck morphometry hippocampus
Margarethe Goetz Emory University Genetics, using ADNI data as a teaching example, Friday Harbor
Dr. Minakshi Gogoi GIMT, Guwahati MRI
Sheng-Yang Goh UCSF frontotemporal dementia
Kelly Gola UCSF Depression, Empathy, Anxiety
Soroosh Golbabaei university of tehran alzheimer disease, Mild Cognitive Impairement, Connectome, Graph Analysis
Daniel Golden Arterys machine learning, segmentation
Felicia Goldstein Emory University task engagement, recognition memory, normal cognition, MCI, AD
Sepehr Golrizkhatami Fraunhofer Institute Event-based modeling, mechanism validation
Jesus Gomar Northwell Health Amyloid PET
Carlos Gomes Cornell University memory, cognitive impairment, markers of impairment, clinical tests, MCI, AD
Ramon Gomes Durães de Olivera Federal University of Minas Gerais (UFMG) Machine Learning, CNNs, Classification, Pattern Recognition
Isabel Gomez Consorci Sanitari Integral Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
JUAN PABLO GOMEZ GONZALEZ QUBIOTECH HEALTH INTELLIGENCE MRI volumetry, Alzheimer's Disease
Vanessa Gomez-Verdejo Universidad Carlos III de Madrid machine learning, mri
Kuang Gong University of California, Davis PET reconstruction CT prediction from MRI
Enhao Gong STANFORD UNIVERSITY Deep Learning, Compressed Sensing
Julie Gonneaud McGill University Family history, Alzheimer's Disease, Biomarker, Preclinical
Evelio Gonzalez CNEURO MRI, DTI, mri pulse sequence
Clio Gonzalez University of Southern California Genetics, Neuroimaging
Gerardo Gonzalez University College London AD, Big data, Automated anomaly detection
Eduardo Gonzalez Moreira University of Electronic Science and Technology of China multimodal neuroimaging data
James Goodman Oregon Health and Science University Cerebrospinal fluid
Srinath Gopinath Yale University Volumes, PET uptake, Hippocampus, Amygdala
Anusharani Gopu Royal Institutue of technology Masters thesis Big data analytics
Brian Gordon Washington University in St. Louis Alzheimer's, spatial patterns, head trauma
Andrew Gordon Data Analytics Labs AD, predictive analysis, advanced analytics, clinical trials
Mark Gordon Boehringer Ingelheim Pharmaceuticals, Inc. EMIF, CAMD
david gordon UCLA Neuroimaging; Machine Learning; Alzheimer's Disease
Pietro Gori Télécom ParisTech T1, DWI, statistical shape analysis, education
Richard Gorniak Thomas Jefferson University MRI, convolutional neural networks, medial temporal sclerosis
Juan Manuel Gorriz University of Granada Image processing, Random forest
Dorothy Gors Kuleuven multivariate analyze, imaging genetics
Jens Göttler Klinikum rechts der Isar, Technische Universität München resting state fMRI, FC, perfusion, ASL, metabolism, FDG, amyloid
Xanthippi Gounari University of Strathclyde Glasgow ADL, MRI scans, AD, MCI
William Goure Acumen Pharmaceuticals, Inc. soluble Aβ oligomers, CSF Biomarker, pre-analytical variables, TBI
Devendra Goyal University of Michigan DREAM challenge
John Graf GE Global Research kinetic system risk model PBPK BioDMET
Ariel Graff Universtity of Toronto depression, amyloid, PET
Leah Graham The Jackson Laboratory Diffusion tensory imaging, myelin, obesity, cognition
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
Maziyar grami Azad university data mining, machine learning
Marilyn Grand'Maison Biospective PET, MRI, Alzheimer's, Cortical Thickness, AV45
Kiran Grant University of Calgary hippocampus, segmentation
Elena Grassi University of Turin eQTL, GWAS, transcription factors
Katherine Gray Imperial College London Alzheimer's disease; early diagnosis
Elisabetta Grecchi King's College London PET,FDG,Dynamic
Robert Green Brigham and Women's Hospital and Harvard Medical School AD analyses
Elaine Green Plymouth University L1 elements, retrotransposons
Jonathan Greenberg Icahn School of Medicine at Mount Sinai ADNI-2
Steven Greening Louisiana State University cognition; cognitive neuroscience; affect
David Greenstein Multimodal Imaging Services Corporation Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's
Bryson Greenwood Blinn Alzheimer's, Principle Component Analysis, Data Mining
Johannes Gregori mediri - medical imaging research institute MRI, ASL, PET
Michael Gregory NIH neuroimaging
Michael Greicius Stanford University genes, structure
Douglas Greve MGH PET
Jason Griffin University of Colorado, Colorado Springs Alzheimer's disease, mild cognitive impairment, serial position effect, learning
Joshua Grill UC Irvine informant
Kelsey Grodner Nova Southeastern University Severity and symptoms in AD
Vince Grolmusz Eotvos University vertex connectivity, edge connectivity, network flows
Perry Groot Radboud University Nijmegen causal
Irme Groothuis University College London microbleeds, deep learning
Alden Gross Johns Hopkins Bloomberg School of Public Health Alzheimer's; psychometric trait theory
Alden Gross Johns Hopkins Bloomberg School of Public Health Genetics, using ADNI data as a teaching example, Friday Harbor
Arne Grundstad AbbVie AbbVie ADNI
Edward Grundy Renishaw atlas
Tomasz Grzegorczyk Delpsi data analytics, predictive algorithm, early predictors
nandith gs student alzeheimer's disease,image processing,mri,matlab
YUN GU SJTU Crossmodal retrieval
Jiena Gu Kansas State University Biomarkers ADNI
david gu jilin university data mining digital image processing
Jiena Gu Kansas State University Alzheimer's Disease Progression
ginam gu Kyung-hee university Alzeheimer's disease
Sheng Guan Florida International University Feature extraction, classification
Yuanfang Guan University of Michigan manuscript submission
Tobias Guennel Precision for Medicine MCI, socioeconomic impact of AD, genetic risk signatures
Laurent Guerin University of Rennes 1 Teaching project
Ricardo Guerrero Imperial College London Early Dementia, multi-modal imaging, biomarkers
Laura Guerrier INSERM Benson syndrom
Pamela Guevara University of Concepción white matter bundles, anatomy, machine learning
Mauricio Guevara-Souza ITESM tadpole
shankru guggari BMS College of Engineering Decision Tree
Abhijit Guha Roy Technical University of Munich Deep Learning
Roberto Guidotti University of Chieti-Pescara deep learning, mri, neural networks
Jérémy Guillon ICM brain connectivity, graph analysis
Leonardo Guimaraes Leo Tec Machine Learning
Jeff Gulcher WuXi NextCODE Genomics pathway enrichment, classification, PET amyloid
SARITA GULIA BANASTHALI UNIVERSITY RAJASTHAN FMRI
Nishan Gunawardena University of Colombo Alzheimer’s Disease, Pre-detection, MRI data, image processing
Roger Gunn Imperial College London Mathematical Analysis, Classification, Machine Learning
Xiao Guo University of Science and Technology of China semiparametric model, related error process
Michael Guo Boston Children's Hospital HMGA2, diabetes, short tandem repeat
weiping guo Beijing Normal University fmri,alzheimer
xingzhi guo Shanghai jiaotong university RAGE
yi guo tongji university ASL;MRA;Alzheimer's disease
zhang guo kai TongJi University Medical Image,Machine learning,Alzheimer’s Disease
Ma Guo zhao Shandong Provincial Qianfoshan Hispotial maguozhao
Anubha Gupta IIIT-Delhi fMRI
Rijul Gupta Yale data, analytics
Ishaan Gupta icahn school of medicine,mt.sinai Machine learning
Navin Gupta Indian Institute of Technology, Guwahati clinical subtyping, data driven, symptoms, independent component analysis
Aayush Gupta SHS MRI, CT, Generative Adversarial Neural Network.
gaurav gupta Shoolini University Alzheimer image segmentation machine learning
Vinay Gupta University of Manitoba Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Onan Guren University College London RVR
Ashita Gurnani University of Colorado at Colorado Springs dementia, Alzheimer's disease, differential diagnosis
Mahmut Edip Gurol Massachusetts General Hospital CAA, cortical thickness, controls, AD
Alex Gutteridge GSK metabolomics, biomarker
Holly Guvenli Okan University MCI, fMRI, entorhinal cortex, hippocampus
Gloria Guzman Washington University in St. Louis AD
GYY GYY anhui university 15141661514166
Vanamala H Rajanna PESIT fMRI,PET, AD , Connectivity
Seongwook Ha Signlab PET, MRI analysis
Ewart Haacke Magnetic Resonance Innovations, Inc. Susceptibility Weighted Imaging (SWI), Gradient Echo, phase and magnitude.
Miriam Haaksma Radboudumc prognostic model; external validation
MARYAM HABADI UNIVERSITY OF SOUTH FLORIDA Statistical Modeling for Alzheimer’s Disease
Christian Habeck Columbia Un multivariate analysis, ROC curve, replication
Mohamad Habes University of Pennsylvania AD-like patterns, Brain Aging, White Matter Hyperintensities
MARIA MERCEDES HACKSPIEL ZARATE UNIVERSIDAD MILITAR NUEVA GRANADA pathologies, neuropsychological tests
Ravi Hadimani Virginia Commonwealth University Anatomically realistic head models, 3D head models, Brain phantoms
Pieris Hadjinastasi University of Cyprus MRI, alzheimer
Tim Hahn University of Frankfurt machine learning, Deep Learning, Autoencoder
Thaddeus Haight UC Berkeley path analysis; amyloid; FDG-PET; longitudinal study
Nicole Hair University of South Carolina development, longitudinal, structural MRI
Wang Haixing Southeast University image analysis
Noushin Hajarolasvadi Eastern Mediterranean University Alzheimer's disease, voxel-based morphometry, classification
Ihab Hajjar Emory Univeristy AD, hypertension, amyloid
Rima Hajjo UNC Chapel Hill Alzheimer's disease, publication, visting scientist, UNC-Chapel Hill Research
Yaroslav Halchenko Dartmouth college Datalad
Anette Hall University of Eastern Finland Alzheimer’s disease, MCI, MRI, CSF, Computer-assisted diagnosis
Kevin Hallock Pfizer Modeling, biomarkers
Brahim HAMADI CHAREF Data Storage Institute Alzheimer’s Disease, Deep Learning, ROC curve
Shah Muhammad Hamdi Georgia State University functional brain networks, mildly cognitive impairment, graph data mining
Farhan Hameed Pfizer UPDRS, PD, Database Architecure, Interoperability
Hajar Hamidian Wayne State University Shape Analysis, deformation
Tyler Hammond The University of Kentucky cognitive reserve, Alzheimer disease, aging, DTI, MRI
qiu han The Affiliated Huaian Hospital of Xuzhou Medical University PLXNA4, Alzheimer’s disease, amyloid-β, correlation
yang han tongji university manifold,subnetwork
Duke Han USC cognition, neuroimaging
Hio-Been Han Korea Institute of Science and Technology fMRI; fcMRI; fucntional connectivity;
Dong Han Neusoft Medical Systems registration, segmentation
Joo Yoon Han University of Washington Statistical analysis with brain imaging data
Dong-Sig Han SNU computer vision
Xiaoxia Han NYU GWAS, modeling, prediction
qingchang han Tsinghua University leile521
Deng-Yu Han National Taiwan University Hospital nighttime behavior; sleepiness; beta-amyloid; PET.
Shizhong Han The University of Iowa GWAS, heritability, sMRI, and fMRI
Beomsoo Han University of Alberta Biostatistics, Bioinformatics, metabolomics
Peipei Han Southeast University cognitive test data
Robert Handsaker Broad Institute copy number variation, disease association
Ihor Handziuk Taras Shevchenko National University of Kyiv altzheimer's disease, mri, classification, study
Francis Hane Lakehead University AD prediction, APOE4, Bayesian
Alexandru Hanganu University of Montreal T1, fMRI, rsfMRI, DTI
Brenda Hanna-Pladdy Emory University School of Medicine Cognition, FDG PET, Aging
Bernard Hanseeuw Massachusetts General Hospital Striatum hippocampus
Björn Hansson Chalmers University neural network, machine learning
jhon hao BIT segmentation
yang hao Sichuan University Deep Learning
Clara Happ Ludwig-Maximilians-University Munich Functional Data Analysis, Functional Principal Component Analysis
Reduan Haque JU Cancer, Prostate
Dilshan Harischandra University of Pennsylvania Protein aggregation, Abeta, Tau, TRIM
Esin Haritaoglu Polar Rain Inc. machine learning, data mining, CDS
Bermal harman cukurova university yes
Amal Harrati Stanford University Genetics, using ADNI data as a teaching example, Friday Harbor
Michael Harrington Huntington Medical Research Institutes Preclinical AD, neurodegeneration, MRI, CSF, amyloid
Breanna Harris Texas Tech University cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Richard Harris University of Michigan diet,brain, pain
Brian Hart University of Minnesota School of Public Health functional connectivity longitudinal
James Hartzell University of Trento MRI, hippocampus
Danielle Harvey Unversity of California, Davis biostatistics
Tsuyoshi Hashimoto Advanced Imaging Center, Tsukuba, JAPAN resting state functional MRI, dementia, MRI, FSL
Hossein Hasooni Shahid Beheshti University of Mdical Sciences Alzheimer's Disease, Aging, Dementia, Beta Amyloid
moaied hassan university of scince and technologu Mri
Mehdi Hassan Air University Biomedical Image Processing, Machine Learning
MOHAMED Hassan Deakin University ADPOLE
Younes Hassani Abdollahi IASBS AD, Alzheimer's
Oktie Hassanzadeh IBM data analytics research
Hamid Reza Hassanzadeh Georgia Institute of Tech Deep Learning, Multi-modal prediction
Jason Hassenstab Washington University in St. Louis Genetics, using ADNI data as a teaching example, Friday Harbor
Sean Hatton UCSD MRI, data harmonization
Ghazal Havoutis Nova Southeastern University biomarker, diagnostic performance, Alzheimer's detection, MCI
jinan hawchar Lebanese University alzheimer's disease,diagnosis,predict
Norio Hayashi Gunma prefectural college of health sciences AD, brain template, CAD
Toshihiro Hayashi University of Tokyo MRI, psychology, biomarker
Jasmeet Hayes VA Boston Healthcare System Cortical Thickness
Boris Hayete GNS Healthcare network analysis
David Haynor University of Washington principal component analysis, spatial patterning, spatial covariance
Scott Hayton BGC3 Integration
joydev hazra Heritage institute of technology prediction
Huiguang He Institute of Automation, Chinese Academy of Scicences fMRI, DTI, Medical Image Processing
yan he Guizhou medical university MRI VBM brain network
Linchen He New york university Association test, binomial mixture model, complex disease, genetic heterogeneity
Yao He University of Utah PET, FDG-PET, Focal AD
Trey Hedden Massachusetts General Hospital Genetics, using ADNI data as a teaching example, Friday Harbor
Niels Heegaard Statens Serum Institut Biomarkers, proteomics, peptidomics
Mohamed Hefny Queen's University Medical Data Analysis, MUltisource data integration, Disease Understanding
Julius Heil Leibniz Institute for Neurobiology in Magdeburg hippocampus training platform
William Heindel Brown University biomarkers, disease progression, cognitive decline
arash hemmati amirkabir university fMRI, machine learning
Dion Henare University of Auckland Harmonized Hippocampal Protocol Training
Samuel Henderson Accera Inc APOE, ADAS-Cog, MMSE
Judith Henf University Medicine Rostock cognitive reserve, hippocampal MD, healthy older adults
Claudio Henriquez University of Manchester Alzheimer disease, MRI, PET, QDA, LDA, automatic diagnosis
Lindsey Hergesheimer USC- Keck School of Medicine ADNI
Karl Herholz University of Manchester Alzheimer's disease, Mild cognitive impairment, 18F-FDG-PET
Haithem Hermessi Faculty of science Tunis -Tunisia Deep learning, multimodal image fusion, CNN
Monica Hernandez University of Zaragoza Computational Anatomy
Luis Herrera University of Granada Deep Learning, Convolutional Neural Networks
Jonathan Hess SUNY Upstate Medical University Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett University of Bordeaux Patch-based biomarkers, hippocampus, hippocampal subfields
Derrek Hibar Janssen R&D PET, PIB, AV45
Brennan Hickson University of Texas at Austin aging, dementia, alzheimer's disease, neurodegeneration
Moncef Hidane INSA Centre Val de Loire segmentation
Satomi Higuchi Iwate Medical University fMRI
Keigo Hikishima Okinawa Institute of Science and Technology Preclinical MRI
Steven Hill University of Cambridge risk stratification, risk prediction, statistical methods
Jade Hind Liverpool John Moores University Symptom Association Analysis; Depression; Delusions
Adnan Hirad University of Rochester oculomotor dysfunction
DAISUKE HIRAHARA Kagoshima Medical Technology College Algorithm
florent hives CHU Purpan Toulouse FDG PET MSA SPM
Ngoc-Huynh Ho Chonnam National University Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
Mimi Hoang Hart brain image segmentation
Zachary Hobel University of Southern California Alzheimer's Disease
John Hoffman University of Utah FDG-PET, SPM group analysis
Jeremy Hofmeister University Hospital of Geneva neuroimaging, resting state, prediction
Carl Hoh University of California, San Diego MRI segmentation, principal component analysis, PET brain quantification
Timothy Hohman Vanderbilt University School of Medicine Genetics, Resilience, Asymptomatic,
Richard Hoile Brighton and Sussex Medical School dementia
Inés Hojas García-Plaza CIEN Fundation coverters
hani hojjati Babol university of technology MCI, converter, nonconverter
Daniel Holder Merck Research Laboratories Biomarkers
Jess Holguin (OTD... not PhD) University of Southern California neuroimaging informatics genetics
Shivarama Holla K National Institute of Technology Karnataka PET, SPECT, medical images
Robin Holmes University Hospitals Bristol Machine learning, VBM
Marcia Hon Ryerson University Alzheimer's, Machine Learning
John Hong Carnegie Mellon University Alzheimer's Disease Biomarker
zou hongliang Nanjing University of Science and Technology research
Guo Hongyu SC University Medical image processing
Paul Hopkins Brown University Alzheimers, SIFT, CDR
Emrin Horgusluoglu-Moloch Mount Sinai Medical School Genetics, using ADNI data as a teaching example, Friday Harbor
Russ Hornbeck Wash Univ Sch Med - STL Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
Andy Horng Helen Wills Neuroscience Institute Jagust, Alzheimers, Tau
Wesley Horton Georgetown University Neuropsychiatric inventory, depression, anxiety, apathy, transition rate
Khalid Hosny Zagazig University CAD system, Feature extraction
Mohammad Arif Hossain East Delta University Alzheimer disease
Eghbal Hosseini Massachusetts Institute of Tech. deep learning, diagnosis
zahra hosseini science and research university Deep Learning, MRI dataset, early detection
Hadi Hosseini Stanford University big data, prediction
zahra hosseini SRBIAU alzheimer disease
Ehsan Hosseini Asl University of Louisville Alzheimer Detection, Deep Learning
Beibei Hou Beijing University of Posts and Telecommunications alzheimer's disease
Beibei Hou Beijing University of Posts and Telecommunications Medical image analysis
Richard Houghton F.Hoffmann - La Roche Ltd prodromal safety
Katherine Houghton RTI Health Solutions biomarker, natural history, cost effectiveness
Erin Householder Washington University School of Medicine : As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
James Howlett Medical Research Council EPAD Risk Modelling
John Hsiao National Institute on Aging usability improvement
Ing-Tsung Hsiao Chang Gung University Feature Extraction; Early Diagnosis
Owen Hsu Wistron image processing, cluster, pipeline
Chih-Chin Hsu National Yang Ming Uniersity lifespan, diffusion, sex difference
Ai-Ling Hsu National Taiwan University thalamus, functional connectivity
Lingjing Hu Capital Medical University Texture analyze, VBM
Nan Hu Genentech biomarker; disease progression
Yongli Hu Institute for Infocomm Research heterogeneous analytics, patient stratification
Kun Hu Shanghai Jiao Tong University machine learning, auto-diagnosis
Xixi Hu Indiana University brain networks, two-sample inference, time-evolving networks
Li Hu GuangDong Medical University AD
Xiaolan Hu MyGeneRecipe dementia, biomarker
Haimeng Hu Huashan Hospital, Fudan University, Shanghai, China hippocampal volume standard
Tao Hu Lanzhou University Alzheimer's disease, biomarker, brain network
Fei Hua Applied Biomath Alzheimer's Disease, mechanistic model, Abeta
Tao Hua Huashan hospital, Fudan university Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Liang hualin Tianjin Polytechnic University MCI
Shuai Huang University of Washington Multimodal analysis, system biology
Meiyan Huang Southern Medical University association anlysis
Chun-Chao Huang National Yang-Ming University Cognitive reserve theory; total intracranial volume, fMRI
Peiyu Huang Zhejiang University CBF, network
Qi Huang the University of Sydney DTI
Zhiwen Huang Huazhong University of Science and Technology medical image classifier,
Jiashuang Huang NUAA medical imaging;TADPOLE
Marissa Huang TMUH TIRC neuropsychology, Alzheimer, dementia, aging
Michelle Huang University of North Carolina, Chapel Hill information science, neuroimaging, data organization
Yuhan Huang National Cheng Kung University Alzheimer's disease, Data mining
Sing-Hang Huang Bioinformatics and Systems Biology Biomarkers, Alzheimer’s Disease
Chao Huang UNC multiscale adaptive regression model shape analysis
Zhiyue Huang MRC composite
Markus Hubrich Johannes Gutenberg-University Mainz Alzheimer's disease diagnosis, MCI, convolutional neural network
Michael Huestis e-Gogito LLC amyloid positive; Ruvo Center; brain health; alzheimers
Edward Huey Columbia University NPI, agitation, Alzheimer's disease
Andrew Hufton Springer Nature data-peer-review metabolomics
Nick Hughes Touch Surgery MRI, Augmented Reality, Education.
Willem Huijbers Tilburg University methods development, data science
Sjoerd Huisman Delft University of Technology imaging genetics, gene expression, bioinformatics, biostatistics
Noemi Hummel Analytica Laser disease modelling
Joe Hung Wistron Corporation Alzheimer
Naomi Hunsaker Brigham Young University diffusion tensor imaging, TRACULA, AFQ, TBSS, FreeSurfer
fostor hunt Zhejiang University machine learning, kernel method
Shu Huo University of California, Santa Cruz Bayesian data analysis, rsfMRI, connectivity
Hans-Jürgen Huppertz Swiss Epilepsy Centre MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
Vojtech Huser National Institute of Health clinical research informatics, common data elements, data science
Lal Hussain University of Azad Jammu and Kashmir Alzhimer's Disease, Dimentia, Brain Disorders
R. Matthew Hutchison Biogen Tau, Amyloid, functional connectivity, brain dynamics
Alexandre Hutton McGill University machine learning, prediction
Els Huyck Fujirebio Europe CSF Aß42
Jihye Hwang Asan medical center time analysis
JungMoon Hyun Graduate Center of City University of New York Cognition, Gray matter
Jung Keun Hyun Dankook Univ Traumatic brain injury; spinal cord injury
alfredo iacoangeli king's college London telomere, bioinformatics , NGS , WGS
Dimitris Iakovakis Aristotle University of Thessaloniki Deep leargning
Victoria Ibañez University Jaume I Statistics,image analysis, neurology
Osamu Ichikawa Icahn school of medicine at Mount Sinai validation
ilknur icke boston university MRI data analysis, machine learning
Samuel Iddi Alzheimer's Therapeutic Research Institute of USC ADNI, TADPOLE, Alzheimer's
Kayoko Ide LinkGenomics Amyloid PET
Takuma Igarashi Toshiba Medical Systems Corporation Volumetry, multi-contrast analysis
Juan Eugenio Iglesias Massachusetts General Hospital, Harvard Medical School hippocampal subfield, segmentation
Laura Igual Muñoz University of Barcelona MRI
Ryoko Ihara The University of Tokyo preclinical AD, amyloid PET, CSF biomarker, clinical outcome
Tetsuya Iidaka Nagoya University, Graduate School of Medicine resting state, support vector machine
Takeshi Ikeuchi Niigata University biomarker, J-adni
John Ikhena Duke University School of Medicine MCI conversion, predicting risk, Alzheimer's disease
Toshikazu Ikuta University of Mississippi DTI; tractography; genetics
Hyung-Jun Im University of Wisconsin - Madison PET, PIB, Alzheimer's disease, dementia, AV-45
rajkumar imatiz VTU Alzheimer's disease, ADNI
ana insausti Universidad Publica de Navarra Angular bundle, volume, stereology, medial temporal lobe
Philip Insel NCIRE power, rates of change
Azzurra Invernizzi University of Groningen Glaucoma subjects
ana-maria iosif University of California Davis Neuropsychiatric Inventory, severity, longitudinal, informative cluster size
Nancy Ip The Hong Kong University of Science and Technology synapse, cell surface receptors, kinase
ms iraji pnu neural network
Sierra Irizarry Rhode Island Hospital New hire
Emrah Irmak Karabuk University Image Registration, Alzheimer, Brain tumor investigation.
David Irwin University of Pennsylvania UDS, GWAS
Mariano Isaza Universidad EAFIT Thesis, image processing
Manabu Ishida ERISA Co., Ltd. Alzheimer's Disease, MCI, Machine Learning, 3D Convolutional Neural Network
Daisuke Ishii Jenio Inc. team ai
Kenji Ishii Tokyo Metropolitan Institute of Gerontology J-ADNI, PET, MRI
Makoto Ishii Weill Cornell Medical College biomarkers, metabolic hormones, preclinical
Jyoti Islam Georgia State University fMRI, Alzheimer’s Disease, Deep learning, CNN
Mazharul Islam RCC Institute of Information Technology ADNI database
Aya Ismail University of Maryland Machine learning , classification
Ariel Israel Sheba Medical Center DREAM Big Data Challenge
Victor Ernesto Issa Garcia Columbia University Medical Center Taub Institute BEaST
Elvin Isufi Tu Delft detecting anomalies over networks
Kaori Ito Pfizer Inc disease progression
Masato Ito Osaka University non-rigid registration, deep learning
Atsushi Iwata The University of Tokyo J-ADNI
Walter Izquierdo Florida International University BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
ALPHIN J iiit Longitudnal data model
dheeba J Vellore institute of technology machine learning
Akhila J A Institute of Human Resources Development Dementia
Emimal Jabason Concordia University Alzheimer. ADNI, Medical Image processing
amir jaberzadeh usc Hippocampus, thalamus, multiple sclerosis, MRI, 3DT1-weighted images
yu jack University Of Electronic Science And Technology Of China deep learning,Recurrent neural network,AD
Edward Jackowiak Nutonian Alzheimer research
Jonathan Jackson Massachusetts General Hospital executive function, memory, aging, white matter
Eric Jackson Jackson State University Altzeimer
Chris Jackson Pieces Technologies, Inc. alzheimer's early detection deep learning neural networks
Samson Jacob New York University School of Medicine bioinformatics
HEIDI JACOBS MGH HARVARD MEDICAL SCHOOL / MAASTRICHT UNIVERSITY Cerebellum, cognition, biomarkers
Jörn Jacobsen University of Amsterdam Computer Vision, Bag of Words, Fisher, Machine Learning
Nina Jacobsen Aalborg University Hippocampus, CNN
Tanner Jacobson Indiana University School of Medicine GWAS, Multivariate
Thomas Jacquemont Institut du Cerveau et de la Moelle Alzheimer, SNAPs, DWI, connectomics
Nerline Jacques Georgia State University hippocampal atrophy, beta-Amyloid, tau, Family History.
Vaishnavi Jadhav Indiana University School of Medicine DTI MRI Tau PET
Ralf Jaeger Eli Lilly and Company Limited Pharma, Pre-clinical Research, Neuroscience/AD, Statistics
Tahere Jafari marvdasht azad university BOF,Image retrieval
Kourosh Jafari-Khouzani Massachusetts General Hospital FLAIR
Akshay Kumar Jagadish EPFL correlation
William Jagust UC Berkeley PET, ROI
Joseph Jahr Molecular NeuroImaging CSF, PET, Florbetapir
Shubhankar Jain Caltech beta amyloid, MRI, PET, Alzheimer, neurodegeneration, neurons, synapses, plaques
Divya Jain University of Pennsylvania imaging, MRI, bioengineering, texture
Shubham Jain Qure.ai Deep Learning
Akshay Jaiswal IIT Varanasi Association Analysis; Data Mining; Gene-gene Interaction; SNPs; SVM
Ayush Jaiswal USC Structural MRI, MRI, Deep Learning, Machine Learning
Amine Jait Sciences and Technics Faculty Alzheimer's,machine learning
Andreas Jakobsson Lund University Deep neural networks, statistical analysis
Olga James Duke Medical Center cardiac, PET
Oliver James IBS CNIR fMRI
maedeh jamlai iut Alzheimer
Emmanuel Jammeh Plymouth Universitty Proteomic Analysis
lajavanthi janardhana UVCE sMRI images
Hyesue Jang Seoul National University Brain atrophy, Ethnicity, MRI, Aging
Jinseong Jang Yonsei University Image assessment
Jae-Won Jang Kangwon National University Hospital Visual rating scale, Brain MRI, Alzheimer's disease
Jinhee Jang Seoul St. Mary's Hospital, College of Medicine, The Catholic Univeristy of Korea Deep learning, Atrophy, visual assessment
Rekh Ram Janghel National Institute of Technology Raipur Alzheimer, Neural Network, Convolution
Shasvat Jawahar The Harker School ADNI, Multimodal Approach, Deep Learning, Convolutional Neural Networks
Kharne Jean University of Georgia APOE e4 functional independence white matter integrity
SCHIRATTI Jean-Baptiste Brain and spine Institute, Hôpital de la Pitié-Salpêtrière, Paris longitudinal, statistics, mixed effects models
Bruno Jedynak Johns Hopkins University time dependent continuous latent variable statistical model
Angela Jefferson Boston University Cognitive Performance, Aging
manaswini jena ITER image segmentation, ANN
Danna Jennings Eli Lilly and Company volumetric MRI, Amyloid imaging
Dominique Jennings Biogen atrophy
Minkyeong Jeon CHONBUK NATIONAL UNIVERSITY Alzheimer's disease, Machine learning, Feature extraction, Biological neural net
Seun Jeon Montreal Neurological Institute & Hospital, McGill University reproducibility
Yong Jeong KAIST fMRI, Resting State, DMN connectivity
JEON JEONGMIN SEOUL NATIONAL UNIVERSITY smooth backfitting
Charles Jester Univeristy of Pennsyvania Hospital SNPs, imaging
Ketan Jethwa University of Nottingham Basal nucleus of Meynert
Sangitha Jeyaseelan McGill University CSF biomarkers
Debesh Jha chosun university alzheimer disease
Gong-Jun JI Anhui Medical University classificaiton, disease, fingerprint, functional connectome
Jin Ji Genentech Inc. Graphs
Chong Ji Nanjing University of Science and Technology Sparse representation,Human action recognition,Motion features
Keren Jia Nantong University three-dimensional, MRI, ADNI
Bowen Jia UC davis network
Lee Jiacheng TMMU neuro network
guo Jiajia University of Science and Technology of China deep learning,MRI,medicai image,3D-CNN
weijian jian jian liver
Tao Jiang Singapore University of Technology and Design Alzheimer's, shape, cdr
Chunxiang Jiang Shenzhen Institutes of Advanced Technology neural activity, brain network
Shan Jiang Institute of Medcal Sciences alzheimer's disease and SNP
Gao Jianhua Taiyuan University of Technology Alzheimer's disease
Zeyu Jiao Fudan university fMRI
Du Jiao Chongqing university Image fusion
zhuqing jiao Changzhou University fMRI
Biao Jie University of North Carolina at Chapel Hill fMRI, AD, Brain connectivity network
Juan Ramon Jimenez Alaniz Universidad Autónoma Metropolitana Iztapalapa image segmentation, pattern recognition
Carolina Jimenez Gomez Universidad Tecnológica de Pereira DTI, neural connections, quantitative analysis, degree project
Adolfo Jiménez-Huete Hospital Ruber Internacional Differential diagnosis; Gray matter volumetry
Koji Jimura Keio University resting state fMRI, behavioral testing, functional connectivity
Yan Jin University of California, Los Angeles DTI
YAN JIN University of South Florida Alzheimer
Zhu Jin SUN YAT-SEN UNIVERSITY Real data analysis
Hyeongmin Jin Seoul National University Alzeimer's disease, Image data analysis
ishan Jindal Wayne State University TADPOLE
Guo Jing Lanzhou university Alzheimer's diease, predisposing risk, correlations
Xiong Jingyu Shanghai University AD, SVM
Jigar Jogia Aston University brain cognition dementia
Per Johansson Fleningevägen Centrum f Byggnadsvård Alzheimer, biomarker, diagnostic, hormones
Cai John The Jackson Laboratory Deep learning, Artificial Intelligence
Kimberley John Birmingham City University PET/CT MRI and Alzheimers
Stian Johnsen BrainMiner Ltd. CAD, AD, Software validation
Sterling Johnson University of Wisconsin-Madison tau, amyloid, pre symptomatic
Leonard Johnson Western Michigan University Spatial Model; Robust Fixed Rank method
kent johnson University of New South Wales prediction
Sterling Johnson University of Wisconsin CSF volume, VBM, rates of atrophy
Stephen Johnston Swansea University Prosopagnosia, VBM, MRI
Jane Johnston Neurotez Inc Leptin, clinical trial, Alzheimer's
Alireza Jomeiri Azad university, Marand branch Alzheimer's disease, PET
Katherine Jonas University of Iowa RDoC, latent variable models, information theory
Matthew Jones Cardiff University machine learning, APOE, cognition
Richard Jones Brown University testing, practice effects
Dorothy Jones-Davis Foundation for NIH (FNIH) Biomarkers Consortium, PPSB, FNIH
Harpa Jonsdottir Brown University Genetics, using ADNI data as a teaching example, Friday Harbor.
Linus Jönsson H. Lundbeck A/S Economic evaluation, disease progression
Jane Joseph Medical University of South Carolina rsfMRI, graph theory, machine learning
Himanshu Joshi National Institute of Mental Health and Neurosciences ApoE Neuroimaging
Abhinay Joshi Avid Radio-pharmaceuticals, Inc. flrobetapir
Shantanu Joshi LONI UCLA cortical distributions
Richard Joules IXICO Neuroimaging Machine Learning
Katherine Joyce University Hospitals Bristol NHS Foundation Trust dementia, atrophy, radiology, neuroradiology, diagnostics
Freimut Juengling University Hospital Berne and PET/CT Centre Northwest Switzerland SPM, AAL, SSP, PVC
Youngjin Jung Dongseo University ANN, CNN, PET, Dynamic PET.
Zhuo Junjie Chinese Academy of Sciences MRI, neuroimage, AD
Viv Junker Sheffield Institute for Translational Neuroscience Overview, Resources, AD, ALS, PArkinsons', MND
ding junwei Shanghai Jiaotong university AD classification
Carlos Alex Sander Juvencio Gulo Universidade do Porto segmentation high performance computing
singaraju jyothi sri padmavati Mahila University Neural networks, Image analysis, deep learning, alzhimer's decease
monika jyotiyana central university of rajasthan India Alzheimer, parkinson's and other neurodegenerative disease
SARTHAJ K National Institute of Technology, Calicut MRI of brain
karthik k NITK dataset , feature extraction, vsm, lsa
sabeena k COLLEGE OF ENGINEERING KARUNAGAPPALAY TADPOLE
chethan k Vidyavardhaka college of engineering cbmir
Amin Kabir University of Tehran Classification, Machine Learning
Pramod Kachare Ramrao Adik Institute of Technology Wavelet packet transform, linear discriminant analysis, deep neural network
Mouloud Kachouane USTHB Alzhaimer dMRI DTI
Catherine Kaczorowski The Jackson Laboratory Genetics, using ADNI data as a teaching example, Friday Harbor
AMIT KADIAN IITD EBM
Harsha kadiveti NIMHANS SANSCOG
yothin kaewaramsri KMITL brain MRI, Alzheimer Disease
Li Kaicheng Zhejiang University 930606CC
Marcus Kaiser Newcastle University connectome analysis, computer simulations, network dynamics
Bodo Kaiser Ludwig-Maximilians-Universität München medical image synthesis, gan, cnn
Lisa Kakinami Concordia University cognition; longitudinal; brain atrophy
Vandana Kale AISSMS IOIT MRI brain images
Sanjay Kalra University of Alberta texture analysis
Hye Jin Kam Samsung Advanced Institute of Technology prediction, longitudinal progression, network
Shahab Kamali Google Inc. Machine Learning, Image Classification, Convolutional Neural Nets
NUR SHAZWANI KAMARUDIN Arizona State University ADNI2, Diffusion Tensor Imaging(DTI)
Josh Kaminker Genentech clinical trial
Benjamin Kandel University of Pennsylvania Linear regression; MCI; prediction
Nagaendran Kandiah National Neuroscience Institute dementia, stroke, small vessel
Michiwo Kanekiyo Eisai Co., Ltd. MCI, efficacy, trajectory
Tomoki Kaneko shinshu university visual rating system
Kai Kang Chinese University of Hong Kong Hidden Markov Model
Hakmook Kang Vanderbilt University functional connectivity, spatio-temporal model
Ju Hee Kang Inha University A-beta42, tau, phospho-tau
YUN SEOK KANG The Ohio State University Post mortem human surrogate
Soo-Jin Kang Asan Medical Center machine learning
Yi Kang Beijing Normal University brain aging
Anuraag Kansal Evidera, Inc. simulation, model, clinical trial
Mohammed Kaouache Prince Sultan University Alzheimer, survival analysis, misclassification
Adam Kaplan University of Minnesota Joint and Individual Variation Explained
Akhil Karazhma Kottaram The University of Melbourne dynamic functional connectivity, resting state networks, defaultmode network,
Keith Karcher Janssen Research & Development "cognitive assessments", "longitudinal change", "asymptomatic, at risk subjects"
Faizan Karim Comsats Deep Learning.
Nicki Karimi-Mostowfi University of Southern California Growth factors, inflammation agent
mahboobe karjoo science and research university fmri
Daniel Karlin Pfizer, Inc. Data, Transmart
Juliana Karp University of Pennsylvania hippocampus
Chiheb Karray CNRS (Digital Research Centre of Sfax) Machine Learning, Data Integration, Biomarker Discovery
Christiana Kartsonaki University of Oxford joint models, landmarking
Nick Kartsonis NCSR Demokritos dti mri
Naama Karu Wishart lab / TMIC metabolomics
Jaya Kasa Stylus Tech Machine Learning.
Keyvan Kasiri University of Waterloo Segmentation, Atlas, MRI
Sara Kassani University of Saskatchewan Alzheimer disease, ontology, semantic data integration
Audrey Katako The University of Manitoba Alzheimer's Disease imaging
Ryo Kato Keio University missing data analysis, multiple imputation
Panagiotis Katsonis Baylor College of Medicine Evolutionary Trace
HKKATTI KATTI zeesense Deep learning, Brain functions, Consiousness
Sukhmani Kaur Information Sciences Institute brain
Prabhjot Kaur CU MRI, sMRI , sparse representation
John Kauwe Brigham Young University mitochondrial copy number, Alzhiemer's disease, genetics
Martin Kavec home brain morphology
Atsushi Kawaguchi Saga University network analysis, multimodal, prediction
Michael Kawczynski University of California, San Francisco Deep Learning
Mitsunori Kayano Obihiro University of Agriculture and Veterinary Medicine Biomarker, CSF, plasma, Brain
Samaneh Kazemi Robarts Research Institute Alzheimer disease, Magnetic Resonance Imaging
yosra kazemi Brock University Deep learning; Alzheimer’s Disease; fMRI
Anees Kazi Technical University of Munich Deep learning, data retrieval, machine learning
Rijan kc National college of Engineering 12345
samin kch University of Tabriz Neural algorithms
Andrey Kechin Institute of Chemical Biology and Fundamental Medicine BRCA, breast cancer, NGS, ovarian cancer
Martin Kelemen University of Cambridge genomic prediction, disease prognosis
Douglas Kelkhoff Genentech biomarker, progression, cross-study
Thomas Kelleher Bristol-Myers Squibb Co exploratory analyses, clinical trial endpoints
Frauke Kellner-Weldon University norm data, quality control,
Frank Kelly HAL24K Hackathon, TADPOLE, data science
Brendan Kelly Washington University in Saint Louis Deep Learning
Oliver Kennion Newcastle University biomarkers, Alzheimer's disease, progression
Nicole Chwee Har Keong National Neuroscience Institute Normal Pressure Hydrocephalus, MRI, DTI, biomarkers
Daniel Kerr Laboratory of Neuroscience - LIM-27 genetic, biomarkers, cognition
Shelli Kesler University of Texas MD Anderson Cancer Center cancer Alzheimer's connectome chemotherapy
Carl Kesselman University of Southern California data integation
Daniel Kessler University of Michigan Statistics, Machine Learning, DWI
Max Keuken UvA comparison
Farzaneh Keyvanfard Amirkabir University of Technology fMRI, DTI, sMRI, connectivity
April Khademi University of Guelph brain segmentation, white matter lesions
Moein Khajehnejad Sharif University of Technology Alzheimer - Classification - machine learning
Abdullah Khalili University of Hormozgan White Matter Segmentation, Convolutional Neural Networks
Hikmat Khan COMSATS Institute of information Technology, Islamabad Parkinson,alzheimer
Samreen Khan Information Technology University Alzheimer's disease, segmentation, fMRI, functional connectivity
Hikmat Khan COMSATS Institute of information Technology, Islamabad researcher,dataset
Anzalee Khan Neurocog Trials Differential Item Functioning, Item Response Analysis, Cognitive Change
tabrej khan king abdulaziz university genome wide data
Aunsia Khan SZABIST AD, MAchine learning
Wasim Khan King's College London, Institute of Psychiatry AD, MCI, MRI, CSF
Sina Khanmohammadi Binghamton University Network Analysis; Functional Brain Connectivity
Tatiana Khasanova Rancho Biosciences disease progression, neuroinflammation, biomarkers
Ali Khazaee Babol University of Technology resting-state fmri
Lenny Khazan George W. Hewlett High School machine learning, neural networks, SNP
aym khl université de montréal Alzheimer, indexation des images par le contenu, classification, IRM, ITD
Mohamed Salah KHlif Florey Institute - Melbourne stroke AD hippocampus
afsoon khodaee university of tehran fmri,mri
Mizanur Khondoker King's College London Machine Learning, Statististical Genetics, Imaging QTL
Sok Kean Khoo Grand Valley State University biomarker
Reza Khosrowabadi Institute for Cognitive and Brain Sciences Graph theory, Functional connectivity, Genetic marker
Kiran Khurshid St. John's University Item Response Theory, Measurement Invariance, Biomarkers, Longitudinal Analyses
reihaneh kianfard najaf abad univercity MRI.AD
Satoshi Kida LPixel white matter lesions, PVH, DSWMH, FLAIR, machine learning
Steven Kiddle University of Cambridge statistics
Kelley Kidwell University of Michigan hypothesis testing, regression
ikram kiki ISG multi sources ensemble methods data fusion missing data
Masataka Kikuchi Osaka University eQTL, GWAS
Masashi Kikuchi MSD K.K. cognitive measurements progression
Ron Killiany Boston University School of Medicine regions of interest, neocortex, hippocampus, entorhinal cortex
Younghoon Kim Korea University Machine Learning, Feature Engineering, Deep Learning
Taehyun Kim Seoul University Bundang Hospital cognition; hyperintensity ; difference ; connectivity
ChanMi Kim Asan Medical Center, Ulsan University School of Medicine MR image, PIB-PET, DTI tractography
Jung-jae Kim Institute for Infocomm Research, Singapore deep learning, heterogeneous data analytics, AD classification
Donghyeon Kim NEUROPHET mri ct synthesis
Hang-Rai Kim Korea advanced institute of science and technology Amyloid, MCI, Deep Learning
YEO JIN KIM Samsung medical center APOE2, amyloid deposition
Dokyoon Kim Geisinger Health System Data integration, multi-omics data, machine learning
Jaeyeol Kim Gachon University Deep learning
SEONGJI KIM USC VOLUNTEER n/a
Hyunwoo Kim University of Wisconsin-Madison AD. Statistical analysis. Visual biomarker. Disease progression pattern
ki hwan kim KAIST deep learning, MRI, reconstruction
Chi-Hun Kim University of Oxford Alzheimer's disease, Signature method, Longitudinal data modelling
Nakyoung Kim MIDAS IT freesurfer
bohyun kim hanyang univerisy imaging genetics
Jongin Kim Gwangju Institute of Science and Technology deep learning, pattern recognition, Boltzmann machine
Sungeun Kim State University of New York, Oswego genetics, multi-omics, neuroimaging
Woo-Sung Kim Chonbuk National University Deep learning; 3D CNN; Schizophrenia; Clasification
Joseph Kim Seoul National University Deep Learning, multimodal registration
Sunhee Kim Seoul National University dementia, ADNI
Jeongchul Kim Wake Forest University Baptist Medical Center Brain imaging, Biomechanic, Deformaiton, MCI/AD
Tae-Sung Kim National Cancer Center Stastical analysis, Deep learning
Jeonghun Kim Korea University neuroimage
Mijung KIM Ghent University Alzheimer disease analysis
Heeyoung Kim Kosin University Gospel Hospital DTI, Amyloid, Alzheimer's dementia
Jong Hun Kim Samsung medical center GWAS, biomarker, prediction
Jeongsik Kim Samsung Medical Center Cortical thickness, FreeSurfer
Seong Yoon Kim Asan Medical Center MCI, Cortical thickness, US vs. Korean
Jongin Kim Kwangju Institute of Science and Technology deep learning, pattern recognition
Seonjik Kim catholic university of Daegu PET, brain image processing
Sungeun Kim State University of New York imaging genetics
Byeongnam Kim Yonsei university MRI
Hanwoong Kim Yonsei Univ deep learning
Nicola King Plymouth University Biomarker, biomarkers, serum, blood, urine, Azheimer's Disease
Lisle Kingery CogState neuropsychology
Kirsi Kinnunen UCL Institute of Neurology longitudinal, MRI, DTI
Marie Kinomes Ateneo de Manila University Alzheimer's MRI
Jan Hendrik Kirchner Uniklinikum Freiburg ASL, machine learning
Jessica Kirkland Caldwell Cleveland Clinic Center for Brain Health hippocampus, memory, resting state, gender, amyloid
brock kirwan Brigham Young University hippocampus; MRI
chiemi kitamura FUJIFIRM RI Pharma Co.,Ltd. Amyloid
kitty kitty College of Information Engineering DARTEL AD VBM
David Kiviat University of Florida deep learning, alzheimers
Vera Kiyasova Institute de Recherches Internationales Servier MMSE, ADAS Cog, NPI, ADNI vs French Cohort
Alison Klein Johns Hopkins School of Medicine Control, Familial Pancreatic Cancer
Jan Klein Fraunhofer MEVIS atrophy
Richard Klein Georgetown aging; roi
Richard Klein Georgetown training
Aaron Kleinman 23andMe parkinsons alzheimers
Mitchel Kling University of Pennsylvania School of Medicine Stress, depression, disease biomarkers, disease progression biomarkers
Joern Klinger University of Potsdam machine learning, genomics, patient stratification
Rebecca Klinger Duke University Medical Center amyloid, cognition, cardiac surgery
Katharina Klink Psychiatric Services University of Bern (UPD) arterial spin labeling; Alzheimer's disease; classification
Jesse Knight University of Guelph MRI, segmentation, image analysis
Mustafa Kocaturk Bogazici University Adaptive Methods Alzhimer Disease Ensemble Classifier
Philipp Johannes Koch EPFL stroke, aging, connectivity, structural, functional
Lisa Koch ETH Zurich machine learning; image analysis
Elena Kochova Vrije Universiteit Amsterdam amyloid, PET, cluster analysis
Loren Koenig NYU School of Medicine cerebral metabolic rate, glucose metabolism, amyloid-beta pathology
Natalie Koh University of Washington alzheimer's, quality control
Jens Erik Köhler Freelance Convolutional; Neural Networks; Image Processing
Juha Koikkalainen VTT Technical Research Centre of Finland spatial normalization
Marisa Koini Medical University of Graz AD, cognition, functional and structural network changes
Vijaya Kolachalama Boston University School of Medicine AD, MRI
Karolis Kolbus Therapy Box screening,Alzheimer's,machine learning
Rebecca Koncz University of New South Wales Amyloid PET; small vessel disease; MRI; DTI; CSF-Ab
Linglong Kong University of Alberta Alzheimer's Disease Neuroimaging Initiative, Corpus callosum, Fractional Anisotr
Xiang-Zhen Kong Beijing Normal University replication analysis
Dehan Kong University of North Carolina Multivariate Pattern Analysis, Survival Models, MRI
Xiangzhen Kong Beijing Normal University practice
Vincent Kong Douglas Mental Health University Institute hippocampal volume, amyloid, cortical thickness
Ender Konukoglu ETH Zurich method development, machine learning, patio-temporal models
Daniel Kopeinigg Private research group Dementia,deep learning, MCI,
Krzysztof Kopera Intelligent Services sp. z o.o. AI; zygomatic bone; injury
Simon Koppers RWTH Aachen University dMRI, Deep Learning
Andrey Kor University of Oxford deep learning, unsupervised learning, modelling
Matheus Korb Universidade Federal de São Carlos Hippocampus Segmentation, BIPGroup, Alzheimer Disease
Sasha Korekov Perm State University none
Panagiotis Korfiatis Mayo Clinic Deep Learning, Skull stripping, Segmentation
Sergey Korolev Institute for Information Transmission Problems Autoencoder, CNN
Valeriy Korostyshevskiy Georgetown University APOE4, predictive modeling, imaging
Vladimir Korzun NTUU KPI -
Heena Koshiya government engineering collage, gandhinagar diagnosis, CTscan, MRI
James Kost Merck & Co., Inc. Parameter Estimates, Cognition
Vikas Kotari George Mason University Image Processing
Danai Koutra University of Michigan summarization, graph mining
Ivan Koychev University of Oxford Mild AD/MCI; PET and CSF tau and amyloid; Cognitive progression; Age effects
kruthika kr Acharya institute of technology Brain print
Tillmann Krahnke Cogitars GmbH ADAScog, ADAScog variants
joel kramer UCSF biomarkers, plasma, CSF, amyloid, longitudinal
Matthew Krause McGill deep learning, analysis, replication
Matt Kraybill San Francisco VA Medical Center Neuropsychology
Martin Kriebel NMI Reutlingen WGS, Neuroinflammation, TLR
vamsi krishna Indian Institute of Information Technology disease progression modeling
Thulasi Krishna Jyothi Engineering College Multiview representation; Multi-template; Classification; Alzheimer’s disease;
hari krishna m college of engineerin,thrissur machine learning, classification, cost,mild cognitive impairment (MCI)
Stephan Krohn Freie Universitaet Berlin fractal dimension; computional image analysis; tissue complexity measures
Frithjof Kruggel UC Irvine DTI
Amy Kuceyeski Weill Cornell Medical College computational analysis, brain connectivity network, prediction of AD progression
Florentin Kucharczak University Hospital of Montpellier PET, early diagnosis, interval-based reconstruction
Laurynas Kucinskas LSMU volumetry
Donald Kuhl Lawson Research Institute ADNI-GO
hemalatha kulala Sri Padmavati Mahila Visvavidyalayam Soft computing, A;zheimer's, Classification
Devang Kulshreshtha Indian Institute of Technology, Varanasi AD/MCI Diagnosis, deep learning, multimodal machine learning, neuroimaging
SAMBATH KUMAR PONDICHERRY UNIVERSITY MRI,fMRI
ANIL KUMAR aitam BIO MEDICAL IMAGE PROCESSING
Dinesh Kumar University of California Davis metabolomics, text mining, machine learning
Abhishek Kumar IPR Deep Learning, Data Mining, Software
A KUMAR JIST diagonise alzemiers prediction
Kuldeep Kumar Ecole de technologie superieure Co-clustering, dictionary learning, classification
SANTOSH KUMAR NIT ROURKELA alzhemers disease.
Ashwani Kumar Jaypee University of Information Technology dementia, alzheimer’s disease, database, Image, Biomarkers
Ambar Kumar Dronacharya College Of Engineering Image Steganography, PSNR (Peak signal -to -noise ratio) value, MSE (Mean Squar
Rishab Kumar Guru nanak Dev University ADNI database to work with CNN
Pawan Kumar NUS Yong Loo Lin School of Medicine AICD, APP intracellular domain
Saurabh Kumar Birla Institute of Technology and Science Alzheimer's disease, Icahn School of Medicine
Janaka Kumarasinghe NTU, Singapore FMRI based disorder detection
Suprateek Kundu Emory University Brain networks; Imaging genetics
Te-Han Kung National Cheng Kung University, Taiwan Academic Research
Li-Wei Kuo National Health Research Institutes Graph-theoretical analysis, deep learning
Phillip Kuo University of Arizona PET, amyloid, software analysis
USHA Kuppe Channappa BMS college of engineering Alzheimer, Mild cognitive impairment ,
ELMY KURIAKOSE ADI SHANKARA INSTITUTE OF ENGINEERING AND TECHNOLOGY 3D-LBP,MRI,MCI
P Kurian Howard University tau, neurofibrillary tangle
Seyul Kwak Seoul National University Brain age, predictive modeling
Doyeon Kwak Korea Advanced Institute of Science and Technology machine learning, alzheimers, deep learning
Kenneth Kwan IXICO MRI
Arkadiusz Kwasigroch Gdansk University of Technology neural network, deep learning
Young Hye Kwon KAIST language, AD, fMRI
Sunghyon Kyeong Yonsei University College of Medicine subtype identification, risk factors of dementia, topological data analysis
Christian La Stanford dynamicFC using rs-fMRI
Claire La Fleur University of Virginia cognitive dedifferentiation, aging, individual differences
Supriyadi La Wungo Universitas Hasanuddin alzheimer disease, data mining
Tomas Labbe Pontificia Universidad Católica de Chile functional disorganization, structural change
Vanessa LaBode Columbia University "Genetics, using ADNI data as a teaching example, Friday Harbor"
Daniel Lacombe Florida Atlantic University deep learning, sMRI, diagnosis
Meher Lad Newcastle University hippocampus, brain atrophy
Thatcher Ladd IU School of Medicine full genome, blood data
salwa lagdali university mohammed V scientific research
Geet Lahoti Georgia Tech Biostatistics
Ying Liang Lai Taipei Medical University rsfMRI, MT, DMN, Dementia
Catherine Lai Brearley School Alzheimer's, genome-wide association studies
Dongbing Lai Indiana University School of Medicine genotyping QC
Dillon Laird Stanford machine learning, feature representation, image generation
Anita Lakatos University of California, Irvine genome, mitochondria, PET images
Santhana Lakshmi.A SSN College of Engineering Functional Plasticity,Functional Connectivity,f-MRI,DTI
Alice Lam Masschusetts General Hospital fMRI
Ramesh Lama Chosun Unversity Alzheimer's disease
Ramesh Lama Chosun Unversity Alzheimer's disease, MRI, biomarkers
Christian Lambert St George's University of London Segmentations; Classification; Vascular Dementia; Parkinson's Disease Dementia
tian lan stanford deep learning
Susan Landau UC Berkeley PET FDG ROI
Bennett Landman Vanderbilt labeling, multi-atlas
victor landre NTNU viewing history
Elizabeth Lane Vanderbilt University Medical Center Vascular risk, biomarkers
Catharina Lange Charité - Universitätsmedizin Berlin multi-modal, dementia, MCI
Alexandre LANGENIEUX Pixyl CAD segmentation software MRI VBM Normalization
Caleb Lareau Harvard University inflammatory, causal, intermediate
Katelyn Larson University of Calgary Harmonized hippocampal protocol
Ghazanfar Latif Prince Mohammad University Alzheimer
Ross Lauber SUNY Oswego Standardized MRI Data
Gabriele Lauria Student of UNIVERSITA TELEMATICA INTERNAZIONE UNINETTUNO MRI brain image in A.D. patient
zh lawliet Chongqing University Medical,deep learning
Emma Lawrence Imperial College Mathematics, Models, statistics, Database Simulation,
Anca Lazar University of Medicine and Pharmacy Grigore T. Popa wavelet
Ngan Le Carnegie Mellon University Segmentation, Classification
THI KHUYEN LE Aix Marseille University Glucose consumption, AD, NC, MCI, inverse covariance matrix estimation
Matthieu Le Arterys machine learning segmentation
Yann Le Guen CEA imaging genetic, heritability, cortical structures, sulci, sulcal pits
Stephanie Le Scouiller Roche Products Ltd Clinical meaningfulness
Stephanos Leandrou European University Cyprus Alzheimer’s disease; Mild Cognitive Impairment; quantitative MRI; temporal lobe;
Christopher Leatherday Curtin University Alzheimer's, Hippocampal Mask, Statistical Parametric Mapping, FDG-PET, MRI
Mackenzie Leavitt Cleveland Clinic MCI, RSFMRI, ADNI
Christina Ledbetter LSUHSC Shreveport Amyloid PD
Seunggeun Lee University of Michigan GWAS, gene-based test, neuroimaging
qixiang Lee GDUT Machine learning
Annie Lee National University of Singapore T1, resting-state, age-effects, gender
Gunhee LEE Korea Univ deep learning
Jusung Lee Gwangju Institute of Science and Technology (GIST) MRI, segmentation
Suzee Lee UCSF frontotemporal dementia
Jaeho Lee Blank Machine Learning, Sector Vector Machine, Alzhemiers
Serin Lee Koh Young Research America image synthesis
Joel Lee VA Medical Ceneter dementia, anterior cingulate cortex, age associated cognitive decline,
Kuo-Jung Lee NCKU Bayesian, fMRI, MCMC, Spatio-Temporal, Alzheimer's disease
Dongjin Lee Arizona State University brain image, deep learning
Catherine Lee Harvard School of Public Health survival analysis, left truncation, time-dependent covariates, cox model
Hyekyoung Lee Seoul National University Brain network, persistent homology, hole, module
Erik Lee Massachusetts General Hospital TMS, finite element, brain-scalp distance
Yunseong Lee Seoul National University machine learning, distributed systems
Angela Lee NIST Alzheimer disease
Peng Jung Lee National Cheng Kung University Cloud Computing,AD,deep learning
Jaehong Lee Gachon Deep Learning
Eunho Lee korea university AD, PD
Hyunna Lee University of Ulsan College of Medicine deep learning
Cheng-Hsien Lee National Cheng Kung University thesis
Song-Ting Lee National Cheng Kung University Texture analysis,Alzheimer disease,Image processing
Jeonghoon Lee Seoul national university of south Korea Deep learning, Medical Image synthesis, Radiology
Subin Lee Seoul National University atrophy; Alzheimer's disease; MCI
Gyungtae Lee MIDASIT cortical reconstruction
seonjoo lee columbia university longitudinal data analysis
Ho-Joon Lee Severanceh Hospital, Yonsei University College of Medicine Partial correlation, mild cognitive impairment, PIB, florobetavir
Wook Lee Department of Computer Science and Engineering, Inha University TBSS, DTI, AD
Eunjee Lee University of Michigan Reproducibility
Sang-gil Lee Seoul National University deep learning, multimodal data
Bumshik Lee Chosun University Alzheimer`s disease
Ilgu Lee Pactera Alzheimer
JUN RO LEE samsung medical center MCI cognitive function
Dongyoung Lee Seoul National University Hospital Amyloid, APOE e4, cerebral glucose metabolism, brain network
Sangwon Lee Sogang University CNN
Mi Ri Lee NYU GSAS/NYULMC Dementia, Pregnancy
DASOM LEE Seoul National University MCI, AD, Biomarkers, MCI conversion
Popo Lee University of Waterloo Alzheimer’s Disease
Hyuntae Leem Sogang PET
charlie leger York University cortical, subcortical grey matter volume
Gabriel Leger Cleveland Clinic FDG-PET, FTD, LBD, AD, clinical Dx, prediction
Benoit Lehallier Stanford Machine learning; bioinformatics; prediction
Haoyun Lei University of Pittsburgh schizophernia
Hongxing Lei Beijing Institute of Genomics, Chinese Academy of Sciences diagnosis
B. Lei Shenzhen University classification
Wang lei neu brain network classification
Shi Lei Tsinghua University Image registration, connectivity
Andreas Lemke HQ Imaging VBM, Freesurfer, SPM,
DAVID Leo TSINGHUA UNIVERSITY gene
Tze Yun Leong National University of Singapore diagnosis, intelligent decision support
Sharlene Leong Howard University depression, African Americans, mild cognitive impairment, neuropsychology
Jeannie-Marie Leoutsakos Johns Hopkins School of Medicine simulation, power analysis, mixed effects model
Natasha Lepore USC / Children's Hospital Los Angeles multivariate tensor-based morphometry, hippocampus, longitudinal
Ondrej Lerch 2nd Faculty of Medicine, Charles University in Prague DTI, basal forebrain, tractography, hippocampus
Keren Lesinger Ben Gurion University neural face- network, deterioration, resting state
Andrea Lessa Benedet McGill University Genetics, using ADNI data as a teaching example, Friday Harbor
Yuk Yee Leung UPENN biomarker study
Yip Sang Leung The University of Hong Kong Brain segmentation
Ming-Ying Leung The University of Texas at El Paso bionformatics, computational analysis, genomics, proteomics, imaging data
Shuyu Leung Sun Yat-sen University research
Hoi-Chung Leung Stony Brook University Parkinson's disease, Alzheimer's disease, biomarkers
Antoine Leuzy Karolinska Institute Tau, amyloid, Alzheimer
gidon levakov Ben Gurion University Deep lerning
Abraham Levine Emerald Logic Mild Cognitive Impairement, Alzheimers, Diagnostic Factors, Disease Progression
Abbie Levinson Bridgewater State University MCI, Depression, NPI, Gender, Dementia
Muwei Li Sichuan University AD classification
Nannan Li Beihang University synthesize CT
Yihan (Jessie) Li Genomics Ltd MudChuk2!
XW LI BeiHang University hippocampus segmentation
Jiewei Li HKU fMRI, MCI, AD
Miranda Li University of Queensland Image Processing
Huijie Li Institute of Psychology, Chinese Academy of Sciences functional connectivity, mild cognitive impairment, Alzheimers' disease
Xinzhong Li Plymouth University Biomarker, AD, Machine Learning
Yang Li Johns Hopkins University pulsed ASL
Rui Li TUM PET for Alzheimer
WENYAN LI University of Maryland, College Park Tadpole
JIEQIONG LI Qingdao Municipal Hospital NEURO
yi li NYU School of Medicine AD, Amyloid, TBI, TAU
Tianhong Li Tsinguha University white matter, classification
Junning Li Keck School of Medicine of USC registration, atlas
Mengmeng Li Zhengzhou University MRI, Texture Analysis, Feature Selection, PLSR, CFS
Chenxi Li Michigan State University structural MRI, fMRI, ICA, survival analysis, high dimensional feature selection
Yan Li Wayne State University Alzheimer’s disease, feature learning
Feijiang Li Shanxi University machine learning
Tieqiang Li University College London Topological Data Analysis
Yi Li NYU school of medicine FDG-PET PIB-PET MRI
Yeshu Li BUAA flow, multi-atlas, hippocampus, segmentation
Yanming Li University of Michigan neural network, GWAS, conditional graphical model, Alzheimer, MCI
Chawn Li Hangzhou Normal University MVPA
Tengfei Li MD.Anderson Cancer Center neuroimaging, Alzheimer's Disease
xiaofeng Li the second affiliated hospital of Chongqing Medical University cognitive impairment, brain atrophy, enlargement of ventricle
Zhi Li Northwest University research
Kang Li RenMin university Task control network, dACC, aging
zhenzhen li Henan University Apply for Access to Data
XW LI BeiHang University hippocampus
xiantao li Huashan Hospital MCI memory
Xiong Li East China Jiaotong University deep learning, data integration
Wenjun Li Medical College of Wisconsin Alzherimer's disease, depression, mild cognitive impairment, biomarkers
Jialu Li Beijing Institute of Technology distance-based regression
Yongming Li chongqing university alzheimer's disease MR image
Zhenzhen Li Chinese PLA General Hospital AD,Meta Analysis,different frequency
Qingqin Li Janssen Research & Development, LLC GWAS WGS
Yuening Li Texas A&M University Deep Learning; ABIDE; Brain
Michelle Li Evergreen Valley HS Alzheimer's, Machine Learning
Xiangrui Li The Ohio State University sMRI VBM
Yibai Li Carnegie Mellon University student
Yupeng Li Shanghai University MCI,AD
zhengyi li south-central university for nationalities pattern identification
CHUNFEI LI Florida International University Alzheimer’s Disease Big Data DREAM Challenge
ZHUJUN LI GEORGIA STATE UNIVERSITY Image denoising
Yafen Li Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. MRI, CT
Xing Li UQ medical image processing
Rongjian Li Old Dominion University image segmentation
Jun Li ICT study; alzheimer
Cen Sing Li Imperial College London Alzheimer's disease, tau, amyloid
BINYIN LI Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine Alzheimer's disease, mild cognitive impairment
Yingjie Li Michigan State University Predicting, MCI, AD
Fan Li Shanghai Jiao Tong University Cerebral Microbleeds, Alzheimer's disease, Deep learning
Dan Li University of Southern California Alzheimer's disease; joint mixed effects model; Multiple outcomes
YU Li UQ image
Yang Li University of Rochester fMRI, machine learning, brain network analysis, AD data
Lin Li Seattle University MCI detection, machine learning
Shuyang Li UC Davis cognitive decline, pathology, Alzheimer's Disease
Wen Li Merck AD
Guangyu Li University of Southern California Deep Learning
Tao Li Chinese Acadame of Science classification
zhao li wipm wuhan image
Yaqing Li Qingdao University α-synuclein GWAS SNP
Chao Li Southern Medical University AD, Support vector machine, machine learning
Yi-Ju Li Duke University Medical Center Biomarker, genetics association, multi-state method, cognitive decline
wei li Indiana University APOE4, Diabetes, Alzheimer' disease
jicong li South China University of Technol deep learning
Xingfeng Li University of Nottingham fmri
Xuan Li Southeast Univ. MVPA, feature extraction, Alzheimer's disease
LINA LIAN Sun Yet-sen University PET, 3dCNN
Chunfeng LIAN UNC Chapel Hill image prediction/reconstruction, deep learning
Jingjing Liang Case Western Reserve University Alzheimer's disease, multiple network analysis
Chen Liang DLMU Data Mining, Brain Patter, fMRI
Shengxiang Liang Zhengzhou University forecast
xinyan liang Shanxi Unversity deep learning
Xiaoyun Liang Florey Institute of Neuroscience and Mental Health Functional connectivity, machine learning, classification
Nanying Liang Institute for Infocomm Research medical data, genetics data, machine learning, Alzheimer disease
xia liang Harbin Institute of Technology striatum, MCI, AD, genome-wide SNP, grey matter volume, functional connectivity
Shengxiang Liang Institute of High Energy Physics, Chinese Academy of Sciences forecast
Jun-Hsiang Liao Cornell Tech AD
Huiling Liao University of Texas MD Anderson Cancer Center TADPOLE, ADNI3, clinical status, ADAS-Cog13 score, Ventricle volume, forecast
Sofia Liberman Technion diagnosis, dementia
David Libon Rowan University MCI, cognitive factors, fluid biomarkers, radiology
Silvan Licher ErasmusMC Dementia, validation, prediction
Sergio Liébana Universidad Politécnica de Madrid Biomarkers, Segmentation, hypocampus, Alzheimer
Thomas Liebmann Darmiyan Inc microstructure early detection
Hilkka Liedes VTT Technical Research Centre of Finland Ltd Alzheimer's disease, MCI, TBI, machine learning, multivariate, MRI
Wee Keong Lim Dawson College MRI, brain disease progression, predictive model
Nehemy Lim University of Washington Brain connectivity networks, Voxel-level graphs, High-dimensional regression
Yen Ying Lim The University of Melbourne brain derived neurotrophic factor; apolipoprotein E; amyloid; Alzheimers disease
Ivan Limarev Ivan inc. ivan1992
LIN LIN University polytechnic of madrid hippocampal marker
RongJie Lin HuaQiao University Split brain image
Yu-Ru Lin University of Pittsburgh data mining
Chien-Tong Lin National Tsing-Hua University Sparse group variable selection, hierarchical LASSO, elastic net
Ming Lin University of Michigan Subgroup Detection, Trajectory Clustering, MCI
Ruby Lin National Central University Alzheimer'shippocampus
JING LIN ZZU Hippocampus
Yenching Lin NCTU Alzheimer
bingpeng lin China Northeastern University brain network
Katherine Lin Northwestern University SHBG, MCI, gender differences, hormones, ApoE4
Ai-Ling Lin University of Kentucky Genetics, using ADNI data as a teaching example, Friday Harbor
bin lin beijing normal university cnn, deep learning, fMRI
Ching-Heng Lin National Yang-Ming University medical informatics
Bing Lin CMU wavelet Analysis
Ai-Ling Lin University of Kentucky arterial spin labelling, amyloid-beta
Sung-han Lin Chang-Gung University Classification, Alzheimer's disease, Mild cognitive impairment
Jyh-Miin Lin National Taiwan University non-Cartesian reconstruction
W.M Lin Fuzhou University deep learning
Liyan Lin Southern Medical University MR-CT image pairs,academic research
Olof Lindberg Karoliska institute brain atrophy
Stinus Lindgreen H. Lundbeck A/S Genetics, SNPs, bioinformatics
Paul Linesch Cedars-Sinai Medical Center Alzheimer's Disease, Parkinson's Disease, Lewy Body Disorder
Kristin Linn University of Pennsylvania segmentation, label fusion, hippocampus
Christoph Lippert Human Longevity, Inc. machine learning
Nikita Litovka Alapy Admixture, genomic data, whole genome sequencing data
Graham Little University of Alberta Machine Learning, Predictive Modelling, Alzheimer's Diagnosis
Lan Liu University of Minnesota at Twin Cities dimension reduction, interaction, regression
Yang Liu General Assembly Data Science
MAN-YUN LIU Taipei Medical University biomarkers;machine learning;early detection;Alzheimer’s disease
Tao Liu University of Technology, Sydney cortical folding, Alzheimer’s disease, longitudinal
Keli Liu Genentech TADPOLE
Tianming Liu Univ. of Georgia cortical thickness
Chin-Fu Liu Johns Hopkins University subcortical
Wayne LIU MERIDIGEN BIOTECH CO., LTD BD
Briana Liu USC IGC alzheimer's, inflammation
Eulanca Liu UCSD hippocampus
Li Liu Arizona State University Biomarker
En-Tao Liu Guangdong General Hospital and Guangdong Academy of Medical Sciences Alzheimer's disease;18F-FDG;18F-AV45
richann liu Pfizer Inc. Meta-analysis, PLS, PCR, MCI, AD
Jin Liu Central South University SNP data, MRI, fMRI
Min Liu Johns Hopkins University of Medicine lm787878
victor LIU Tsinghua University medical data mining, machine learning
Wenjie Liu Harbin Engineering University imaging genetics
lin liu Qufu Normal university human brain connectomes
Dan Liu Xi'an Institute of Posts and Telecommunications classification
Yong Liu Institute of Automation, Chinese Academy of Sciences Brain network, Imaging biomarker
hao liu tsinghua university deep learning
Hao Chen Liu China Pharmaceutical University disease progression model metabolic networks
ke liu Beijing Normal University 123456789
Xueqing Liu Columbia University fMRI simulator
Ying Liu Medical College of Wisconsin MRI Analysis, Image Denoising
Yuelu Liu University of California, Davis convolutional neural networks, Alzheimer's disease, mild cognitive impairment
Xiaoli Liu Northeastern University prediction
Mengmeng Liu UCSF AD, PET
zhaowen liu fudan brain
Chien-Liang Liu National Chiao Tung University Alzheimer’s Disease, Convolutional Neural Networks, Prediction
Jia Liu Ludwig-Maximilians-University Posterior cortical atrophy, biomarkers, neuropsychology
Changan Liu University of Texas Health Science Center at Houston metabolomics, pathway, early diagnosis
Weixiang Liu Shenzhen University machine learning new algorithm
Yang Liu JiLin University MRI, brain disease prediction
Sidong Liu University of Sydney Image Analysis and Retrieval
Jundong Liu Ohio University AD, MCI, Shape, Subcoritcal, MRI
Tingshan Liu Smith College Longitudinal, graph theory, Alzheimer's Disease
Xiuwen Liu Florida State University Computer Vision, Shape Analysis
ning liu Beijing University of Technology multi-modalities High accuracy
Yan Liu University of Chinese Academy of Sciences MRI, AD, image processing, feature extraction
Dongbo Liu Sichuan University 3D CNN fMRI AD
I-Hsin Liu National Chiao Tung University Alzheimer's, Gene, Pathogenesis
Chia-Shang Liu University of Southern California fMRI, connectivity, cognition
LIUYU LIUYU SICHUAN UNIVERSITY researching AD disease
Gabriel Lizarraga Florida International University svm, signal processing
JEROME LLIDO INSERM Magnetic resonance imaging, Alzheimer disease, Mild cognitive impairment
Sandro Lobao Federal University of Sao Paulo Segmentation Engineering MATLAB
Judith Lobo University of Miami Aging, Cognition, Superager, Brain Connectivity
Christian LoBue UT Southwestern Medical Center traumatic brain injury, mild cognitive impairment, biomarkers
Samuel Lockhart University of California Berkeley Tau, Amyloid, Aging, Preclinical Disease, White matter
Henrik loft H. Lundbeck Rate of decline, Composite scores, Segmentation
Shubham Lohakare NITK, Surathkal Medical, Diseases, Data Mining
Kelly Lohr Brigham and Womens Hospital Alzheimer's disease, aging,
Hoi Kei Lon AbbVie, Inc Disease progression, biomarkers, imaging
Kashif Javed Lone University of Azad Jammu and Kashmir machine learning, dimentionality reduction, AD, ensemble methods
Kashif Javed Lone University of Azad Jammu & Kashmir Alzheimer’s Disease, Dementia, PET
Rodney Long National Library of Medicine/NIH fMRI, deep learning, connectivity, chronectrome
ziyi long Dongzhimeng Hospital MRI prognosis
Xiaojing Long Virginia tech longitudinal analysis, pathological regions, AD
Frank Longo Stanford Convolutional Neural Network, MCI conversion
Isadora Lopes Alves Vrij Universiteit Medisch Centrum AMYPAD, PET, quantitative analysis
Guadalupe Lopez UNIVERSIDAD AUTONOMA METROPOLITANA SVM, ANN'S
Marco Lorenzi UCL biomarker, imaging-genetics, spatio-temporal modeling, diagnosis, clinical trial
Marco Lorenzi INRIA Sophia Antipolis biomarker, imaging-genetics, spatio-temporal modeling, diagnosis, clinical trial
Eyal Lotan New York University NPH Dementia cognitive impairment
Gregory Louie Duke University Metabolomics, Computational Network Models
Maxime Louis UPMC LDDMM, machine learning, amyloid protein.
SERAFEIM LOUKAS UNIGE TADPOLE
Andreas Loukas Epfl Graph signal processing, connectomics, neuro degeneration
Serafeim Loukas EPFL TADPOLE, fMRI, PET, genetics
Seth Love University of Bristol CSF, dementia, Alzheimer's disease, vascular cognitive impairment
Deborah Lowe Texas A&M University factor analysis, structural equation modeling
Bo Lu Harvard University GWAS
Bo Lu Harvard University gene SNPS drug interaction
zheshen lu Yangzhou University Data mining
Bin Lu Institute of Psychology, CAS machine learning
Qing Lu Michigan State University non-parametric method; functional data analysis
Zhaohua Lu St. Jude Children's Research Hospital GWAS, high-dimensional data analysis, longitudinal data analysis
Jiaming Lu Affiliated Drum Tower Hospital of Nanjing University Medical School maching learning; AD
Pascal LU Brain and Spine Institute Genomics, Neuroimaging, machine learning
Chia-Feng Lu Taipei Medical University radiogenomics, image biomarkers, early diagnosis, prognosis
Lijun Lu Southern Medical University PET
Shen Lu University of Sydney dementia, FDG-PET, kernel learning machine
Chuan Lu Aberystwyth University Data integration, Bayesian, deep learning, brain diseases
Patty Lu N/A deep learning machine analytics
Zixiang Lu Nanjing University of Aeronautics and Astronautics brain network analysis; feature extraction; classfication;
Hangquan Lu Xiamen University AD,MCI,MRI,PET,Deep learning
Qiongshi Lu University of Wisconsin-Madison Genetics, using ADNI data as a teaching example, Friday Harbor
Gabriela Lucas Universidade Federal de Pernambuco diagnostico
Lucas Lukasiak Precision Data Labs tadpole artificial intelligence prediction
Yadnyesh Luktuke Delft University of Technology Machine Learning, Representation Learning
Veronika Lunina Knut Wicksell Centre for Financial Studies Longitudinal Evolution, TADPOLE
liao luo Nankai university deep learning
Xiao Luo Zhejiang University, China fMRI/Mild Cognitive Impairment/Behavior data/Cognition
Wei Luo South China Agricultural University feature learning, image classification
Shan Luo USC insulin sensitivity, cognitive impairment, hippocampus, Alzheimer Disease
Qiang Luo Fudan University multivariat analysis, prediction
Sheng Luo The University of Texas at Houston Longitudinal data; item response theory; Bayesian; MCMC
weidong Luo Cortechs labs inc. AD
peggy luo cuhk mri
suhuai luo The University of Newcastle Alzheimer’s disease, dementia assessment, machine learning
Shaojun Luo City College of New York SNP AD fMRI
Michelle Lupton QIMR Berghofer Research Institute Alzheimer's disease; rare sequence variants; exome sequence data; replication
Theresa Lusardi OHSU microRNA, Alzheimer's Disease, Traumatic brain injury
Michael Lutz Duke University School of Medicine regulatory variants, gene expression changes in Alzheimer's disease, genetics
Eric Lv SJTU image process
Juan Lyu Harbin Engineering University Restrict Beltzmann Machine Alzheimer's disease
Ramya M Jerusalem college of Engineering Neurodegenaritive Disease
Ghokul M IIT Madras Brain CT and MRI data
Angshul M Indraprastha Institute of Information Technology MRI reconsstruction
Radha M R PESIT AD
Dinesh M.S. PES College Of Engineering Student Project
Dinesh M.S. Philips India Limited Image Quality
Jin Ma Pingan Tech deep learning, CNN, Alzheimer’s Disease
Xiangyu Ma CCMU Aging, Neurodegenerative Diseases, MRI
tianyu ma Tsinghua University image reconstruction, joint reconstruction, kinetic modeling, multicenter study
zhe ma Catpital Medical University VBM
Chao Ma Guilin University Of Electronic Technology MRI;PET;muti-mode
li ma PanoTech Inc. image retrieval
Xiaozhou Ma XtalPi AD, CAD
Yiyuan Ma BUPT Mayy
Xi Ma KUL visualization
Yu Ma NingXia university multi-atlas sementattion research
mingyuan ma pku brain connectivity
fengling ma University of shanghai for science technology brain network;ALzheimer's disease
Qianli Ma Nanjing University of Posts and Telecommunications nonlinearity; complexity; phase synchronization
Daniel MacArthur Broad Institute genome, aggregation, database
Paul Macey UCLA sleep; autonomic; limbic
Eric Mach Iowa State University Resting State fMRI
Imola MacPhee USC - Neuroscience Graduate Program PHEWAS GWAS GENES FMRI
Mahboubeh Madadi Louisiana Tech University Classification, Clustering
Bharat Madan Old Dominion Univ machine learning, supervised learning, MRI, Image analysispattern classification
Christopher Madan Boston College brain morphology; fractal dimensionality; healthy aging
Giovanny Madero UN Science , Models , Analytics
Radhika Madhavan General Electric Deep learning, resting state connectivity, graph based analysis
Tara Madhyastha University of Washington aging, functional connectivity
nobuhisa MAENO Aichi Shukutoku University amyloid imaging
Amalia Magaret University of Washington decline
Sebastián Maglioni UNIVERSIDAD NACIONAL DE COLOMBIA brain degenerative procces, Alzheimer, Mild Cognitive Impairment
Hamzah Magsood Virginina Commonwealth university simulation
LINDA MAH University of Toronto anxiety, mild cognitive impairment, atrophy, white matter integrity
Jeyasuthan Mahadevan Tellippalai Cancer Hospital connectome, DTI, Tractography, AD, MCI
Shirin Mahdavi Amirkabir University of Technology Human head modeling
Asef Mahdavi Azad University MRI data, EEG, data fusion
SHIVAM MAHENDRU JIIT EAarly Stage Detection Bioinformatics
Hentati mahmoud ENIS Protect
Abeer Mahmoud Ain Shams Unv machine learning , KDD
Kariman Mahmoud Faculty of Engineering Cairo University CBIR
ahmad mahmoudi iranin system non-local PCA
Siamak Mahmoudian Dehkordi North Carolina State University NA
Monika Mahor ABVIIITM Alzheimer, vocal parameters
Taleen Mahseredjian USC Remitted geriatric depression, cortical thickness
cha mai University of Shanghai for Science and Technology Alzheimer’s disease; diagnosis; white matter
Rui Maia IST data quality accessing cleaning preprocessing
Norihide Maikusa Tohoku university japan vs US
Taps Maiti Michigan State University Bayesian, network, functional connectivity, precision, transition
Carlo Maj University of Brescia Gene Association Study, Bioinformatics, Systems Biology
Pradipta Maji Indian Statistical Institute Medical Imaging, Computational Biology and Bioinformatics
jafar majidpour raparin machine learning, feature extraction
laouchedi makhlouf Central Military Hospital, Algeria and Algiers University DTI, mode, ILF, SLF, CC
Satoshi Makino Tohoku University imputation, APOE
Stefan Makrievski Michigan State University amyloid, imaging, CSF, Tau, metabolism, biospecimin, longitudinal
Hernan Makse City College of New York Complex Network Theory; Network Hubs; Alzheimer
archana malagi Anna University, Chennai, India micro structural, alzheimer, language pathway
Katerina Malakhova Pavlov Institute of Physiology deep networks, visualizing
Irina Malashenkova NATIONAL RESEARCH CENTRE "KURCHATOV INSTITUTE" brain disease, cognitive disorder, biomarkers, Alzheimer’s disease, cytokines
Zach Malchano Cognito Therapeutics, Inc. amyloid imaging, region specific, biomarker enrichment, imaging agents
Somayeh Maleki-Balajoo IPM AD
tamoor malik university of gujrat fMRI dataset for Alzheimer diseases
Abhirup Mallik University of Minnesota statistics fmri learning
Tarja Malm University of Eastern Finland miRNA microglia phagocytosis
Ian Malone University College London BSI, boundary shift integral, volumetric measures, atrophy, ADNI3
Charles Malpas The University of Melbourne CSF, biomarkers, cortical thickness
Norberto Malpica Universidad Rey Juan Carlos super-rsolution, presprocessing, classification, biomarker
Meenakshi malviya Christ University down syndrome
A Mamandi SSO ADLIB
Abinash Manandhar Tribhuvan University, Institute of Engineering DEmentia, ANN, KNN
OSCAR MANCERA NATIONAL UNIVERSITY OF COLOMBIA mild cognitive impairment
pravat mandal NBRC Manesar Alzheimer, Biomarker, MRI
Alekhya Mandali IISC fMRI, AD
Jennifer Manly Columbia University Genetics, using ADNI data as a teaching example, Friday Harbor
Emily Manning University College London brain volumes
Mohamed Manoufali The University of Queensland EM imaging, Sensors
Paul Manser Genentech clinical trials, prognostic factors
Dante Mantini KU Leuven functional connectivity
Ninad Mantri ICON Medical Imaging Brain volume analysis over repeated measures.
cyrus manuel UCSF VAMC CIND graph analysis, connectome, amyloid prediction
Nikolay Manyakov Janssen R&D biomarkers
DİLEK MANZAK Sakarya University Alzhemier, image process, SVM
Shuai Mao Harbin institute of technology Shen zhen graduate school AD MCI
tian maoyu Beijing institute of university Deep learning,
Jodi Maple Grødem University of Stvanger dementia, CSF, biomaker
Kenneth Maravilla University of Washington segmentation
Simonetti Marco ASP CZ tractography, segmentation, alzheimer, ftd, neurogenetics
Daniel Marcus Radiologics informatics classifier
John Margetis USC .
Richard Margolin Janssen Alzheimer Immunotherapy ADNI-1, PIB
Laura Mariano C.S. Draper Laboratory MRI processing, heterogeneous data fusion, machine learning
Razvan Valentin Marinescu University College London disease progresison Alzheimer's staging
Sebastian Markett University of Bonn connectome; centrality; network topology
Pawel Markiewicz University College London PET, amyloid, longitudinal analysis, power calculations
Michael Marnane University of British Columbia Hospital small vessel disease white matter hyperintensity Alzheimer Disease MRI
Asif Maroof University of Texas San Antonio CSF, plasma, blood serum, APOE, biomarkers
Laura Marple Washington University in St. Louis DIAN, ADNI, harmonization, WUSM, NIL
Cristiane Marques PUCRS neuroimaging, machine learning algorithms
Freddie Marquez UC Irvine Cortical thickness; predictive biomarker
Maria Marquine University of Caifornia San Diego Genetics, using ADNI data as a teaching example, Friday Harbor
Linda Marrakchi Institut Superieur de Biotechnologies de Sidi Thabet segmentation, alzheimer, subcortical structures
Gad Marshall Brigham and Women's Hospital PIB PET, FDG PET, APOE
Kaspar Märtens University of Oxford statistical methodology, multi-view learning
Gustav Mårtensson Karolinska Institutet "Graph theory" "Alzheimer's Diseases" "Structural brain networks"
Cristian Marti Methinks deeplearning alzheimer diagnosis MRI
Harold Martin Florida International University ICA, PCA, FMRI, alzheimer
Jose Salvador Martin Moreno CINVESTAV MRI Alzheimer DeepLearning
Olivier Martinaud Rouen University Hospital cardiac arrest, voxel-based morphometry
Victor Martinez National University Of Colombia Alzheimers disease, classification problem, probability model
Jesus Martinez Queen's University Belfast DNN, Computer vision
Yazmin Martinez CSUF neural networks
Oliver Martinez UC Davis Volumetric and stroke rating analysis
Alejandro Martinez CENIDET Raw signal mechanical properties
Lina Martinez UMB Image Processing
Neus Martinez Abadías Center for Genomic Regulation facial biomarker, geometric morphometrics, low-cost diagnosis tool, MRI
Edwin Martinez Hernandez Juarez Autonomous University at Tabasco Cognitive Assesment, alzheimer's disease progression
Antonio Martinez Torteya ITESM Campus Monterrey image based biomarkers, genetic algorithms, quantitative imaging
Jean-Baptiste Martini UPMC alzheimer pet fdg roi
Samuel Martins University of Campinas statistical object shape models, multi-atlas label fuzion
nasim marvi hakim sabzevari fmri, rqa, fd
Viviane Masciotra Institut gériatrique de Montréal Alzheimer's Disease, cognitive decline, grey matter atrophy
Ahmed Masmoudi Fseg extraction, alzheimer
Aliaksandr Masny Fraunhofer Institute for Algorithms and Scientific Computing SCAI AD MRI analysis
Joe Mason Sheffield University Machine Learning Alzheimer diagnosis
Pir Masoom shah COMSATS Institute of Information Technology Islamabad Machline Learning
Pir Masoom shah COMSATS Institute of Information Technology Islamabad Machline Learning
babak masoudi pnu university Alzheimer image processing
Tyler Massaro DCRI ADNI, ADMC, postdoc, statistical analysis
Tristan Massie FDA progression
Jun Masumoto FUJIFILM Corporation CAD
Cristy Matan University of Pittsburgh Pib, PET, AV45, SUV
Karen Mate University of Newcastle anticholinergic, polypharmacy, pharmacogenomics
Pedro Mateus University of Minho Biomedical, Alzheimer, Article, Study
Mara Mather University of Southern California depression, prefrontal
Karen Mather University of New South Wales Alzheimer’s disease, High white matter hyperintensity, neurodegenerative disease
Jesia Mathew M S Ramaiah University of Applied Sciences Alzheimer's EMCI, LMCI
Samuel Mathias Yale University obesity, BMI, cortical volume
Tamilalaghan Mathiyalagan College of Engineering Guindy MRI , CT , image analysis and Prediction
Will Matloff University of Southern California GWAS
Takashi Matsubara Kobe University deep learning
Keisuke Matsubara Research Institute for Brain and Blood Vessels Akita Partial volume correction; PET
Yukihisa Matsuda Fukuyama University dementia machine lerning
Dawn Matthews ADM Diagnostics, LLC FDG, amyloid, tau, volumetric MRI, fMRI, prediction, machine learning
Paul Mattis Feinstein Institute of Medical Research FDG-PET, Covariance Network, Dementia, Neuropsychological
pegah mavaee Washington State University mM9011120013
Patrick May Luxembourg Centre for Systems Biomedicine Genomics, Genetics,
Anatoly Mayburd AMI-GO-Science Alzheimer's, prevention, risk, repurposing
Chantel Mayo University of Victoria DTI, mild cognitive impairment, Alzheimer's
Perla Jazmin Mayo Diaz de Leon University of Bristol HSS, Deep Learning, Machine Learning, Epilepsy
Elvira Mayordomo Universidad de Zaragoza patogenicity prediction, mtDNA, haplogroups
Gaylord Mbuyi University of Alberta brain, white matter, mri, ct, compression, segmentation
Colleen McCallum Laureate Institutie for Brain Research data base design
Bryony McCann University of Bristol Dementia, Aging, Hippocampus, Subfields, Morphology
Todd McCollough Ellumen Alzheimer's diease, prediction
Shannon McCormick Radiologics registration; Radiologics
Sean McCurdy University of Toronto machine learning, computational biology, diagnostics,
Carrie McDonald University of California San Diego structural MRI analysis; neuropsychological data
Archana McEligot CSUF Lifestyle, gender, ethnicity, gene-phenotype interactions
Linda McEvoy University of California, San Diego MRI, PET, morphometry, thickness, prediction
G. Peggy McFall University of Alberta Genetics, using ADNI data as a teaching example, Friday Harbor
William McGeown University of Strathclyde Delusions; Psychosis; neuropsychiatric; VBM; neuropsychological assessment
William McGeown University of Hull neuropsychology, structural MRI, predictors of decline, conversion, MCI
Tim McGraw Purdue University Visualization, connectivity
Thomas McHugh North Shore Country Day School