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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Investigator Institution Keywords
Nancy A Bharathidasan University Alzheimer, Classification, MCI
Hariharan A Jerusalem college of engineering MRI, automatic detection, AD
nima aalizade RS Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Ardalan Aarabi UPJV fmri, dti
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
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
sahar abdolmaleki iran Diagnosis, Alzheimer
Amritha Abdul Salam IIT Kharagpur ML
Ahmed Abdulkadir University of Freiburg classification, machine learning
Osama Abdullah University of Utah DTI, DSI
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
Shafiq Abedin IBM TBI, Trauma detection
Noor Abidi PAF KIET Neural network
Mohamed Aboamer Majmaah University deep learning neural network
Ethan Abraham Student Machine Learning
Jill Abrigo The Chinese University of Hong Kong automated hippocampal volumetry, Alzheimer's disease
Anees Abrol The Mind Research Network Multimodal, AD, MCI, Progression
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
Stanislaw Adaszewski Lausanne University Hospital tSNE
Aditya Addepalli Birla Institute of Technology and Science CNN
Viraj Adduru Rochester Institute of Technology volume, segmentation, 3d modeling
Tameem Adel University of Amsterdam MRI Classification, Unsupervised Feature Learning.
Ehsan Adeli Stanford University Machine Learning, Computational Neuroscience, Medical Imaging
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
mahdie afrasiabi islamic azad university,shahrood branch pattern recogniotion, data mining , MRI, Alzheimer
Saeedeh Afshari Simon Fraser University PET image processing, activity analysis
Awais Aftab Case Western Reserve University/University Hospitals Cleveland Medical Center GDS, depression, amyloid
Iman Aganj Massachusetts General Hospital / Harvard Medical School Brain connectivity
Deepak Agarwak Cornell University TADPOLE
dhruv agarwal University of Illinois Urbana Champaign disease overlap, image,genetic,
Anupam Agarwal jagannath Univesity, Jaipur MRI images
Mayank Agarwal Lexical Informatics Machine Learning, Artificial Intelligence, Classification, Clustering, Feedback
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
Rishal Aggarwal Birla Institute of Technology and Science, Pilani Neural Networks Machine Learning
mary aghili florida international university denoising on adni
Praful Agrawal University of Utah image registration
Jamila Ahdidan Aarhus University AD, hippocampus, prediction
Rziwan Ahmad UMT Alzehimer's Disease Detection
Fayyaz Ahmad UOG fmri, SPM, ANN
mali ahmadi sutech dmn
Hessam Ahmadi Islamic Azad University fmri, graph theory, alzheimer
Juweiriya Ahmed Western University Psychosis, AD
Faisal Ahmed University of Liberal arts Bangladesh Project, Final Year, Alzheimer's,
Yong Yeol Ahn Indiana University network, multi-omics, data integration
Mihye Ahn University of Nevada, Reno classification
Chrysanthi Ainali UCB machine learning, predictive models
eman aita benha university 123
Sai Aitharaju ETH Zurich Dementia, CNN
Aditya Aiyer Carnegie Mellon University Classification, Course Project, Deep Learning
Hameed Ajala National University alzheimer
Zeynettin Akkus Mayo Clinic MRI
Sanae Akodad Katholiek Universiteit Leuven Hippocampal segmentation
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
KEMAL AKYOL Kastamonu University random forest, logistic regression
Ahmad Al Khleifat King's College London Genetics analysis, SV, CNVs, Telomere
Hasan Al Marzouqi Khalifa University of Science and Technology deep learning, residual networks, constitutional networks, SNPs
Ebrahim Al Safadi Oregon Health and Science University image registration deep learning
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
Noor Al-Qazzaz UKM MRI, CT, Processing, Analysis
eman alaa engineering 3SV50
Adnan Alahmadi KAU fMRI
BahaaEddin AlAila University of Georgia deep learning, image regression, temporal prediction
Fadhl Alakwaa Henry Ford Hospital System Imaging genetic
John Alam EIP Pharma Episodic Memory, Longitudinal Change
Fakhre Alam University of Malakand Image Registration, Rigid and Non-rigid
RINAD ALANAKRIH Hanyang University neuroimaging, MRI, white matter hyperdensitites
MERVE ALANYALI UNIVERSITY OF WARWICK/THE ALAN TURING INSTITUTE deep learning, convolutional neural nets, data science
Jack Albright Nueva School Machine Learning, Student, TADPOLE
Thomas Alderson Ulster University thalamo-cortical modelling DTI
Kelner Alex Colegiul National "Vasile Lucaciu" Regression
Aishwarya Alex University of Luxembourg Alzheimer’s Disease Big Data DREAM Challenge #1
Daniel Alexander UCL Event-based model.
Paul Alexander SEUCE Deep Learning
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
RAJMA ALI nit sikkim brain tumor
Imdad Ali IIUI Classification
Affan Alim PAF- Karachi Institute of Economics & Technology Alzheimer
shirin alimoradian science and research branch islamic azad university I want analysis ADNI for master thesis.
mohammad aliyari Islamic Azad University CNN
mohammad aliyari Islamic Azad University CNN
ZAID ALKHALEDI UNIVERSITY OF KENTUCKY MDR; Model Selection; Continuous Phenotype; Ordered Combinatorial Partitioning
Shreshta Alladi University of southern california MRI, image detection, phantom, image type
Travis Allen Cornell Tech Machine Learning
Luz Maria Alliende Pontificia Universidad Catolica de Chile cognitive reserve, brain 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
Andre Altmann University Collage London Imaging Genetics, Next Generation Sequencing
Trevor Alvord Columbia University Tau Proteins, White Matter Hyperintensities, Alzheimer's
Mariam Aly Columbia University cognition, machine learning, pattern analysis, genetics
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
Rula Amer Tel Aviv university deep learning, DTI, segmentation
remya amernath ponjesly college of engineering threshold,segmentation
Echtioui Amira enis ya allah1
Hakima Amri Georgetown University AD, MCI
Sabrina Amrouche CERN Machine learning pattern discovery mining
Yu An Capital Medical University meta-analysis, CSF AD-type biomarkers, original data
Ben Anandapppa Harvard University Machine learning, data science, big data
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
Emma Anderson University of Bristol Education, intelligence, Alzheimer's disease, Dementia
Loretta Anderson Johns Hopkins School of Public Health Alzheimer's Disease; Disease Progression; MCI; Biostatistics
Jeff Anderson University of Utah MRI, MCI
Wes Anderson Eli Lilly and Company Alzheimer's pre-clnical research
Vesna Andova Faculty of electrical engineering and IT Alzheimer’s Disease, similarity measurement, image retrieval, data mining
MARIA ANDRADE FEDERAL UNIVERSITY OF PERNAMBUCO machine learning, computer vision, image features, deep learning
João Paulo Andrade Devezas Universidade da Beira Interior Alzheimer, Machine Learning, Convolutional Neural Network, Python, Diagnosis
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
Gerda Andringa University College Roosevelt, Utrecht University image analysis, independent component analysis, alzheimer's disease
Liz Antoinette Anguren Cebu Institute of Technology - University MRI, Alzheimer, pstd, bipolar, adhd, autism, schizophrenia
aziz anne-laure hospital purpan brain
Shahab Ansari GIKI automatic brain segmentation, Alzheimer's disease, machine learning
Kaarin Anstey Australian National University Alzheimer's disease, genetics, epistasis
Thomas Anthony University of Alabama at Birmingham HPC machine learning
Isadora Antoniano Villalobos Bocconi University Youden_index Nonparametric_inference covariate_specific_diagnosis
Rubina Antony Fisat alzheimer detection
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
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
Mohammad ARBABYAZD Institut de Neurosciences des Systèmes- INS Alzheimer's disease
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
Alejandra Arévalo Sáenz Hospital Universitario de la Princesa tractography parkinson
Konstantinos Arfanakis Illinois Institute of Technology diffusion, DTI, registration
Jocelyn Argueta University of Southern California BRCA1, women's risk, genetic analysis, SNPs, gene expression
eric argus university deep learning
Victor Arias University Simon Bolivar deep learning, alzheimer, iron maps
Carlos Arias FAR Institute machine learning
Yassine Aribi ENIS images
Ivan Arisi Fondazione EBRI "Rita Levi-Montalcini" Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
Steven Armentrout Parabon Computation MDR, epistatis, cloud computing
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
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
Azhaar Ashraf Imperial College London Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
saima ashraf karachi university progression
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
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
Hadia Atta University segmentation
April Au University of Toronto estrogen, sex differences
Tibor Auer Royal Holloway University of London automatic analysis; dynamic connectivity; fmri; big-data
Maike Aurich Université du Luxembourg Metabolic modeling, metabolomic data
brian avants Biogen brain, thickness, ANTs, conversion, amyloid
MUSTAFA TALHA AVCU Bilkent Universtiy Statistical Learning, Data, CNN, DDL
Andrea Avena-Koenigsberger Indiana University diffusion models, network dynamics
Allan Avila University of California, Santa Barbara Koopman Operator, nonlinear dynamics, dynamical systems
Daniel Felipe Avilán Caldas Universidad Nacional de Colombia DTI
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
Alp Aygar New York University autoencoder, deep learning, transfer learning, MTBI
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;
Tiago Azevedo University of Cambridge fmri mri clinical
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
Pushpa B R Amrita Vishwa Vidyapeetham segmentation, classification
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Dulguun Baasandavaa Harvard University Alzheimer, EDA, Cognitive impairment prediction
Libin Babu CUSAT Alzhimers, tensorflow
Kevin Bach IUPUI Neuroscience
heba badawood catholic university of america Alzheimer's Disease
alexandra badea Duke CIVM mri, imaging, analysis
Steven Baete NYU School of Medicine Orientation Distribution Function analysis, Diffusion MRI
Shweta Bagewadi Fraunhofer Institue SCAI CO-expression analysis
Asma Baghdadi Enis IRM, segmentation, image processing, Alzheimer diagnosis
fatemeh bahadoran babol noshirvani university of technology alzheimer fuzzy
fatemeh bahadoran babol noshirvani university of technology alzheimer neural network
Yuchen Bai Janssen Research and Development Methylation, Biomarker, Disease Progression
Xiangqi Bai AMSS, CAS bxq1045043020
Geoffrey Baird University of Washington, Seattle Biomarkers
Paul Baird Centre for Eye Research Australia, University of Melbourne AMD, genome wide, interaction
John Baker Janssen R&D Diagonsis, Progression, Biomarkers
Arnold Bakker Johns Hopkins University Entorhinal Cortex
Ibtissam Bakkouri FSA Ibn Zohr CAD, AD, Machine Learning
Giorgos Bakoyannis Indiana University Statistical methods, interval censoring, missing data, misclassification
Erika Ball Duke University "Quantile Regression" "Statistical Modeling" "Hippocampal Atrophy"
chao ban University College London diagnosis machine learning
Amin Banaei AJA university of medical sciences Alzheimer disease, early detection
Sandhya Banda MVSREC texture, segmentation, multimodal
Oishila Bandyopadhyay Indian Institute of Information Technology Kalyani curvature, concavity index, chain code, mid-line, MRI, alzheimer
Dipankar Bandyopadhyay Virginia Commonwealth University DTI, tensor regression, spatial methods
sunjoo bang Ajou Univ key gene identification, genetic data, data mining
SungKyu Bang Hanyang University Medical Imaging
Katherine Bangen University of California, San Diego vascular risk, cerebral blood flow, amyloid
Asish Banik Michigan State University Bayesian Computation
Sarah Banks Cleveland Clinic CSF neuropsychology
Leonie Banning Maastricht University Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Deepika Bansal NCU, Gurgaon Dementia samples
Sabeeha Baqui Al-Arqam College Preparatory Alzheimer's, MOCA, MMSE, MRI, application, Lumbar Puncture
Rita Barakat University of Southern California Stroke, TBI, brain injury, neurodegeneration, therapy
nourhan barakat tanta university ALZHEIMER
negin barani babol noshirvani university of technology alzheimer fuzzy
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
Chris Barbu Psychology Study materials for class.
Giuseppe Barisano USC Stevens Neuroimaging and Informatics Institute Quality Control, MRI
Josephine Barnes UCL Institute of Neurology hippocampus, whole brain
Chandler Barnes Vanderbilt University machine learning, undergraduate
Olivier Barret IND PVC, centiloid
Matthew Barrett University of Virginia School of Medicine Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
HECTOR BARRIOS CFE 123
Fabian Bartel VU University Medical Center hippocampus segmentation, harmonized hippocampus segmentation protocol
Jakub Bartoszewicz Adam Mickiewicz University vGWAS, SNP, genome, brain structure, neuroinformatics, genomics
Caroline Barwood University of Nottingham Alzheimer's
Suryakanth Basavaraj BMSITM MRI,PET
Shaik Basheera Research Scholar, Department Of Electronics and Communication Engineering, A.N. Brain Disorders
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Sumana Basu McGill University MRI
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
Christopher Bauer University of Kentucky MRI, DTI, cognitive reserve, Tau, A-Beta, memory
Roman Bauer Newcastle University computational neuroscience
Christian Baumgartner ETH Zurich medical image analysis, machine learning
Vanshika Bawa Delhi Technological University Alzhiemer's disease diagnosis, PET scan analysis
Amirhossein Bayat Technical University of Munich segmentation, registration
masood bayat kntu parametr
Armin Bayati University of Victoria Cognitive disorder, microscopic, macroscopic, diagnostic, vasculature
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
Derek Beaton Baycrest partial least squares, multivariate, genetics
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
Laurel Beckett UC Davis Biostatistics
Simone Beer Forschungszentrum Juelich quantitative PET
Joanne Beer University of Pittsburgh prediction, statistics
Andrew Beers Massachusetts General Hospital deep learning pet mri
Mirza Faisal Beg Simon Fraser University MR, LDDMM, segmentation, registration, statistical shape analysis
Iman Beheshti CERVO Research Center, Mental Health University Institute of Quebec estimation, brain age, MRI
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
Lynn Bekris Cleveland Clinic Lerner Research Institute apoe, tomm40
Belal belal UESTC EEG signal
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
Michael Benedikt Oxford University data integration
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
Mariana Bento university of calgary machine learning, image features, dementia
Tammie Benzinger Washington University MRI
Maurizio Bergamino Laureate Psychiatric Clinic & Hospital DTI; GQI; structural connectivity; prediction model
David Bergeron Université Laval MMSE, MoCA, conversion, screening
Gintvilė Bergerytė Vilnius University Alzheimer machine learning classification
Marco Berlot Cornell University AD
Rodrigo Beron Fing Predecir Patologias
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
Pierre Besson Northwestern University Machine learning
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
Abhishta Bhandari Royal Brisbane and Women's Hospital FDG PET, MRI, cerebrum, corticobasal syndrome
Jaspreet Bhangu Boston University Bioimaging
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 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
gaurav bhatti wayne state university Longitudinal data analysis, Artificial Neural Networks
Chandra Bhushan CBK infotech India Private Limited data clustering
Suhas A Bhyratae Atria Institute of Technology AD, cMCI, ncMCI
Hanwen Bi Northeastern University fMRI, Brain Network
Qiuhui Bi Beijing Normal University WM network PET
SHIJIA BIAN DUKE UNIVERSITY TADPOLE CHALLENGE: https://tadpole.grand-challenge.org/data/
Rene Bidart Waterloo CNN
jumahuli biekan University of Saskatchewan sMRI, DTI, AD disease, MCL, Graph theory, Brain network
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
Malavika Bindhi Stanford University Classification of Alzheimer’s Disease using Patients’ MRI and Related Features
zhang bing daln martime university predict the individual brain function connectivity
Huang Bingsheng Shenzhen University MRI AD Auxiliary diagnosis Classification
Yuan binke Beijing Normal university machine-learning, gray matter atrophy, functional connectome
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
Brian Blair University of Florida MATLAB,PET Scan
James Blair University of Virginia Cognitive Impairment, Structure, T1
Paul Blanc-Durand APHP - Pitié Salpétriere Deep Learning, CNN, regression
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
Kevin Blighe UCB whole genome; longitudinal data; feature extraction; patient stratification
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
jin bo huawei deep learning
zheng bo HDU Search
Yao Bo Shandong University Alzheimer's disease language performance
Ravi Boda Osmania University MRI segmentation, Bias field estimation
Ronald Boellaard University Medical Center Groningen Image methodology, quantification, processing, classification
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
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
Brian Booth University of Antwerp MRI atlases, image registration, metric learning
Alireza Borghei Tehran University of Medical Sciences tadpole
Jennifer Borkowsky Genentech biomarkers
Davide Borra University of Bologna Deep learning, CNN
Danielle Borrajo University of Southern California neuroimaging, genetics
Anders Borum Aarhus University Machine Learning, Computer Science, Thesis
Sepehr Borumand Sani Tehran University Of Medical Science Osteoarthritis Alzheimer's Disease assosiation
Isabelle Bos Maastricht University Amyloid based cognitive norms
Paolo Bosco INFN Alzheimer's Disease, network analyses
budhaditya bose INDIANA UNIVERSITY PARKINSON'S DISEASE,CLUSTERING
Chinmoy Bose TwoPiRadian Infotech LLC Alzheimer, deep learning, classification, pre-processing
Zoran Bosnić University of Ljubljana Alzheimer; data mining; computer science; decision support
Nicholas Bott University of California San Francisco cognitive aging; structural imaging; inflammation
Agustina Bouchet Universidad Nacional de Mar del Plata, Argentina Biomedical Images, Segmentation, Digital Image Processing
amani boughanmi Higher Institute of Applied Sciences and Technology of Sousse AMANIISSATSO2017
haralabos bougias university hospital dti
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
Jessica Bourgin Université Savoie Mont Blanc emotion; attention; amygdala
li bowen tianjin polytechic university machine learning,neural network
Chris Bowles Imperial College London generative adverserial network, latent encoding
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
Adebayo Braimah USC Mark & Mary Stevens Hall of Neuroimaging Neuroimaging, genetics, Alzheimer's Disease,
Lodewijk Brand Colorado School of Mines haploview, plink
Jose Bras UCL, Institute of Neurology Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie UCLA connectivity, APOE, clusterin, cardiovascular
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,
Leonardo Brizi University of Bologna - Alma Mater Studiorum Features Extraction; Artificial Neural Network
Cornelius AJ Broere AIAS Meylin Architecture, sMRI, Neurocognition, Neurology
Esther Bron Erasmus MC Classification
Jonathan Brouillette Hopital du Sacre-Coeur de Montreal Retinoic acid, Alzheimer's disease, Single-nucleotide polymorphisms
Matthew Brown University of Alberta machine learning, diagnosis, prognosis, biomarkers
Abel Brown NVIDIA machine learning, deep learning
Bobby Bruce University College London TADPOLE
Iva Brunec University of Toronto Hippocampus, Memory decline, fMRI
Douglas Bryant University of Oklahoma Visual Neuroscience Lab Harmonized Hippocampal Volume Protocol
Arne Brys icometrix EUROPOND EBM
Tao Bu The First Affiliated Hospital of Xinjiang Medical University serum folate concentration; mortality; alzheimer's disease
Seok-Jun Bu Yonsei University machine learning, deep learning
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
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
Gabriel Bucur Radboud University Nijmegen causal inference, Mendelian randomization, Robust estimation, Bayesian inference
Charley Budgeon University Of Western Australia Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Ana Bueno Universidade Federal do ABC machine learning, convolutional neural networks
Derek Buhl Pfizer Alzheimer's
Sarah Buila Southern Illinois University Clinical Assessment
faiza Bukenya University of Nottingham Segmentation,blood vessel,medical images
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
Michael Burke Council for scientific and industrial research Machine learning, dementia prediction
Shanna Burke Florida International University Alzheimer's disease, neurodegfeneration, amyloid
Katherine Burn University of Melbourne cognition; inflammation; amyloid
Victor Burnett Terasaki Research Institute CNN, convolutional neural networks, image recognition, alzheimer's, pathology.
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
P. Monroe Butler University of California San Francisco Hippocampus, history of opiate exposure, ApoE
Gonca Buyrukoglu Northumbria University joint model, multivariate longitudinal
Paul Byrnes University of Liverpool machine learning, pattern recognition, Bayesian framework
sandeep c s COLLEGE OF ENGINEERING, TRIVANDRUM mri, pet
Rodrigo Cabello Univerisity Deep Learning
Cristóbal Cabrera Universidad Rey Juan Carlos de Madrid grapht algorithm
Yuliana Cabrera University of Southern California ADNI
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
adiel cahana bar ilan university deep learning
winda cahyaningrum UB Brain Tumor
Siqi Cai Shenzhen Institutes of Advanced Technology fMRI, functional network, topological property
erik cai wenzhou university multimodal neuroimaging
Nigel Cairns Washington University neuropathology
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
Sha Cao Indiana University Bioinformatics
Peng Cao Northeastern University Machine learning
Guanqun Cao Auburn University functional data, ADNI
Jiguo Cao Simon Fraser University brain network, QTL mapping
Bo Cao University of Texas Health Science Center at Houston Machine learning
Sha Cao Indiana University Bioinformatics
Yan Cao University of Texas at Dallas image analysis
Lei Cao USC NIIN 570
HONGLIU CAO INSA ROUEN Random Forest, dissimilarity, heterogeneity
Paul Cao HPE Deep Learning
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
Lucia Carrion Gordon UTS University of Technology Sydney Data, Heritage, Management
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
Tiago Carvalho Federal Institute of São Paulo Machine Learning, Deep Learning, Information Fusion
carolina carvalho UFF AD MCI NC
Janessa Carvalho Brown University Friday Harbor
Francesco Paolo Casale Microsoft GWAS, images, statistical testing, multi-trait
Kaitlin Casaletto UCSF neurogranin; exercise; cognitive activity
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
Julian Caspers University Hospital Düsseldorf resting-state fMRI, machine-learning, classification
Isabella Castiglioni National Reserach Council AD, MCI, image classification, diagnosis, MRI, PET
JUAN ANTONIO CASTRO SILVA UNIVERSIDAD DE SALAMANCA medical image analysis, alzheimer's disease
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
Michele Cavallari Brigham and Women's Hospital, Harvard Medical School amyloid, perivascular spaces, glymphatic
Tim Cedervall KTH Bachelor thesis svm
alper celik indoc research ML, ANN
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
Jiook Cha Columbia University Medical Center deep learning
Jungho Cha University of California San Francisco tau, pib
JONATHAN CHACON California State University, Fullerton ADN; Alzheimer's Disease; APOE; genome-wide association studies (GWAS)
Maria Chagoya Universidad de Monterrey RM images, thesis
Yaqiong Chai CHLA deep learning reconstruction
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
Daniel Chalupa Brno University of Technology Pharmacokinetic Modeling, Multiple Classifier Systems
Takwa Chammam National School of Engineering, Gabès,TUNISIA Alzheimer, hippocampus segmentation
Alan Chan University of Alberta multivariate statistical analysis
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
Prakash Chandra Banaras Hindu University Clinical Research dataset
Mritula Chandrasekaran Christ University Brain Cognition
Hyunggi Chang University of Warwick magnetic resonance imaging, artifacts
tzu an chang National Cheng Kung University adam10328
Catie Chang National Institutes of Health resting-state fMRI, spontaneous activity, dynamics
QUAN CHANG Chongqing university of Posts and Telecommunications deep learning , ADNI
tzu an chang National Cheng Kung University adam10328
Yu-Ming Chang Beth Israel Deaconess Medical Center/Harvard Medical School Alzheimer's, temporal horn, ventricle
RUI CHANG Icahn School of Medicine at Mount Sinai NY Systems biology
Yu-Chuan Chang National Taiwan University Alzheimer, Data Mining
Yuchou Chang University of Houston - Downtown MRI, segmentation, registration, classification
Marianne Chanti-Ketterl Duke University Genetics, using ADNI data as a teaching example, Friday Harbor
Linda Chao UCSF PIB, MCI, cognition
li chaofeng sun-yatsen university MR CT deep learning
fadoia chaouech Higher Institute of Management of Gabes fadoia1993
Arnaud Charil Eli Lilly and Company MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Cui Charles Tsinghua University AI, deep learning
Pratishtha Chatterjee Macquarie University plasma ferritin, serum ferritin, iron, brain amylid load
subhankar chattoraj Techno India University, West Bengal SSDA, shallow learning, deep learning, hybrid model
Ann Chau HKU ASL and amyloid
Om Chaudhari UNLV Alzheimer's disease, deep learning, deep polynomial networks
Zainab Chaudhry FAST-NU AD
Laurent Chauvin Ecole de Technologie Superieure Local Features, Subject Identification
Kevin Chavez Stanford University Alzheimers, classification, machine learning
Jacqueline Chea Harvard College genetics, cognitive impairment
Gal Chechik Bar-Ilan University Deep learning
Lovena Chedumbarum Pillay University of Oxford Machine Learning, Alzheimer's Disease, MRI, PET
Abdallah Chehade University of Wisconsin-Madison data fusion
GENG CHEN soochow university Discriminative dictionary learning;Sparse representation;Structural MR images
Ying-Hsiang Chen Bioinfotronics Research Center Intelligent, cloud computing, infrastructure
Ting-Huei Chen Laval University structural equation modeling
Yiyun Chen Xiamen University graduation project of undergraduates
Jun Chen University of Michgan data fusion
Zhie Chen Chinese PLA General Hospital AD; brain; voxel-based morphometry; brain structure
Yin Jie Chen University of Pennsylvania Perelman School of Medicine Alzheimer's disease, multimodality, longitudinal
Hsian-Min Chen Taichung Veterans General Hospital Band expansion process, Constrained energy minimization, Otsu’s method
Gennan Chen Synarc Segmentation
Tzu-Chieh Chen UC Berkeley MRI, machine learning
Jiali Chen Zhejiang University of Technology Hippocampus detection
Jianhong Chen Pennsylvania State University deep learning, convolutional neural network, classification of AD
Xi Chen The University of Texas at Dallas machine learning, prediction
Liang Chen University of Macau miRNA, biomarker
Haiwei Chen UQ correction
Xing Chen Pfizer genetics
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Shuai Chen Erasmus Medical Centre TADPOLE, Alzheimer's Disease Prediction
SY Chen Emory University Classification
Xian-gan Chen South-Central University for Nationalities machine learning,deep learning,brain disease diagnosis
Ningxuan Chen Chinese Academy of Science deep learning, classifer
Wanghao Chen Southeast university Alzheimer
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Robert Chen Washington University St. Louis ADNI deep machine learning
Junhua Chen Beijing University of Technology Deep learning, brain age
Kewei Chen Banner Alzheimer Institute PET SPM image-derived input function,
Xin Chen Merck disease measurements, time of progression, MMSE, CDR, sensitivity
Hsu-Hsin Chen Genentech Alzheimer's Disease
Ing-jou Chen Chang Gung University AV-45, PET, AD, PCA, SVM
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
Fang Chen jackson state university image deep learning Alzheimer's
Shihui Chen The University of Hong Kong connectivity analysis
Taolin Chen West China Hospital of Sichuan University network study
Jing Chen Shandong University of Science and Technology deep Gaussian process ,classification
Yuan-Yi Chen UCLA Bran Visualization
Liu Chen Oregon Health & Science University Neural Networks
MINGXUAN CHEN Infinity Lab Alzheimer Disease; Text mining
Keping Chen Southeast University biomarkers, criculating,Alzheimer’s disease
Jerome Chen Chang Gung University Deep Learning, Alzheimer’s Disease, MRI, FMRI
Yuhua Chen Cedars-Sinai Medical Center deep learning, super-resolution, image enhancement, MRI
Gang Chen Medical College of Wisconsin fMRI, MRI
Kaifeng Chen University of Michigan DTI
Rong Chen Icahn School of Medicine at Mount Sinai protective allele, Alzheimer's disease
Peizhi Chen Xiamen University of Technology image registration
Jian Chen ShangHai JiaoTong University symptoms, medicine
Hugo Chen National Yunlin University machine learning
Linlin Chen Xidian University academic research on medical images
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Hewei Cheng School of Informatics AD, MCI, fMRI, DTI, MRI
Yang Cheng University of Shanghai for Science and Technology DTI
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
Danni Cheng Shanghai Jiao Tong University convolutional neural network,Alzheimer's disease, Deep learning,
Jing Cheng southwest University in China brain network, dti
Debbie Cheng National Cheng Kung University Alzheimer's disease
Tanya Chenhall Cogstate Cogstate
Liu Chenyang HongKong University AD;inverse covariance;
Guo Chenyi Tsinghua University Deep learning, machine learning, disease diagnosis
Joy-Loi Chepkoech University of Oslo Cognition, research assistant
Petr Cheremencov SpbSpu mri, ct, medical imaging
William Chern California Polytechnic State University, San Luis Obispo AD diagnose
Venkateswararao Cherukuri PENNSTATE UNIVERSITY Super resolution
Yuen Chung Cheung Hong Kong Polytechnic University Molecular Imagin
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
Lumay Chiang Novartis PET, SUVr, longitudinal
Gloria Chiang UCSF DTI
Patrizia Chiesa ICM rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
LIN CHIH-HAO acer mri
Daniel Micah Childress UPENN web application, programming
gaetana chillemi irccs attention, makers
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
Monica Chiogna Università di Padova ROC surface analysis, verification bias, non ignorable missingness
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
Soo Hyun Cho Sam Sung Medical Center Amyloid PET
sang soo cho University of Toronto PET
Sang Geun Choi Kwang Woon Univ. segmentation, deep learning
Yeoreum Choi KAIST/South Korea domain adaptation
Seoung-Ho Choi Korea University Deep Learning , Diagnosis
Jun-Sik Choi Korea University Deep Learning
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Euna Choi Seoul National University DTI TBSS Early detect of Alzheimer's disease.
Yong-Ho Choi hanyang university Imaging genetics
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
Elizabeth Chou National Chengchi University, Taiwan machine learning, dimension reduction, similarity measure, classification
Edward Chou Stanford University Alzheimers, MRI, 3D CNN
PO-HAN CHOU Harvard T.H. Chan School of Public Health cortical thickness, brain asymmetry
Chun-An Chou Northeastern University Network, MVPA
Hiba Chougrad CHOUAIB DOUKKALI UNIVERSITY computer-aided diagnosis; Brain MRI; Alzheimer’s disease, Deep learning
Francois Chouinard-Decorte McGill University brain structure, genetics
Leonidas Chouliaras University of Cambridge DNA methylation, Mild Cognitive Impairment, MRI
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Tiffany Chow USC Alzheimer's Therapeutic Research Institute microbleed, microhemorrhage, hypertension, hemorrhagic stroke, MCI, AD
Heiman Chow HKUST Glucose, AD, Risk
Lauren Christensen University of Southern California brain
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
Charalambos Chrysostomou The Cyprus Institute Machine Learning, Deep Learning
yufang chu NCTU feature selection,genetic algorithm
Hui-May Chu Anoixis AD patients
Tzu-Chao Chuang National Sun Yat-Sen University cortical thickness, hippocampus subfield, MRI
Sung Chun Brigham and Women's Hospital Heritability, fine-mapping
Marvin Chun Yale University functional connectivity
chen chun SIAT brain network
Ai Chung King's College London genetics graph network
Yu-Min Chung College of William and Mary computational topology, topological data analysis
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
Daniele Ettore Ciriello Orobix deep learning, nnets, wgan, disease map
Ana Cives University Hospital of Santiago de Compostela normal patients MRI
Steven Clapp Indiana University School of Medicine MRI, PET, medication
Tod Clapp Colorado State University UCHealth IRB
David Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Alba Clemente Univarsity of Zaragoza bioinformatics, computer vision
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
Daniel Clymer Carnegie Mellon University Deep Learning, Medical Imaging, MRI
Bernard Cobbinah University of Electronics Science and Technology of China Convolutional Neural Networks
Shelytia Cocroft Duke University Genetics, using ADNI data as a teaching example, Friday Harbor
Leandro Coelho Pontifical Catholic University of Parana machine learning, fMRI, deep learning.
Joseph Paul Cohen University of Montreal Generative modeling, computer vision
David Cohen Massachusetts General Hospital CNN, deep learning, machine learning, convolutional neural network, Alzheimer's,
elisa colato Institution Karolinska Institutet AV1451 tau PET, MRI, PET, CSF biomarkers
James Cole Imperial College London Aging, Machine learning, T1, DTI
Joseph Cole Portland State University Neurodegenerative diseases,Alzheimer's,Biomarkers,Disease progression score
Michael Cole Rutgers University-Newark cognitive control, resting state
Jeffrey Cole Booz Allen Hamilton cluster analysis, neuroimaging
Diego Collazos-Huertas Universidad Nacional de Colombia sede Manizales Deep Learning, Convolutional Neural Networks, Data Representation
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
David Collier Eli LIlly and Company Ltd lipidomics
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
Adam Connolly Invicro machine learning disease progression prediction
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
Danielle Cooke Beth Israel Deaconess Medical Center resting state connectivity, lesion network analysis
Agata Copani University of Catania beta-amyoid, cell cycle genes
Giovanni Coppola UCLA genetic genomic biomarkers
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
Victor Costumero Universitat de València mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard CNS-Fed Neuropsychology, Aging, Eye movements, Vision
David Coughlin University of Pennsylvania AV1451, Dementia with Lewy Bodies, Alzheimer's Disease
Pierrick Coupé LaBRI UMR 5800 hippocampus
Elizabeth Couser University of Maryland, Baltimore imaging, Alzheimer's
Baptiste Couvy-Duchesne Institute of Molecular Bioscience Advanced brain aging, prediction, structural MRI
Kris Cox CNPRC tau
Brian Cozzi Rush University Medical Center CNN, Machine Learning, SVM
Paul Crane University of Washington genetics, example data set for learning, Friday Harbor
Karen Crawford UCLA Laboratory of Neuro Imaging None
Karen Crawford USC That
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
Etienne Croteau CRCHUS Sherbrooke University PIB, concussion, MRI
Mark Crowley University of Waterloo deep learning, anomaly detection
Carlos Cruchaga Washington University School of Medicine CSF, plasma, RBM, GWAS, whole-genome
Carlos Cruz Arizona State University Biomarker
Math Cuajungco California State University Fullerton Neuroscience
ice cubepill null cv
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
Tia Cummins University of Melbourne neuropsychology
Tristan Curteis University of Oslo Longitudinal prediction
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'
Nuno da Silva Luz Saúde MPRAGE, T1, DTI
Amirhossein dadashzadeh faculity of computer science deep learning , convolutional neural network,medical image analysis
Ravi Dadsena IIT Madras MRI, CFD Models, Alzheimers
Shabnam Daghaghi Texas A&M University brain data, phd, research, Alzheimer Disease
Said Dahbour Jordan University Hospital/ University of Jordan Brain volume change, Alzheimer disease
Hui Dai Keck hospital of USC PICALM; cognition; functional networks; neuroimaging
Ning Dai University of Minnesota regional homogeneity; fMRI data analysis; longitudinal
Weiying Dai Binghamton University ASL and fMRI resting state and fMRI task
Olivia Dai Harvard University Alzheimer
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
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Zinkert Daniel Uva Wellassa University Brain, Cortical Thickness
Christian Dansereau Perceiv Research, Inc. Biomarker, progressors prediction, cognitive decline
Eveleen Darby Baylor College of Medicine Alzheimer Disease
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
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
Rajdeep Das National Institute of Technology, Calicut Gated Recurrent Units (GRU), Long Short Term Memory(LSTM), ANN
Gautom Das Montgomery Blair Highschool PPMI neural networks model prediction longitudinal course
Kalyan Das University of Calcutta categorical,miscategorization, missing ness,
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Sandhitsu Das University of Pennsylvania hippocampus MCI
Manoranjan Dash A*STAR Heterogeneous Data analytics, diagnosis
Jérôme Dauvillier SIB - Swiss Institute of Bioinformatics Epistasis
Khishigsuren Davagdorj Chungbuk National University data mining
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
Eran Dayan University of North Carolina at Chapel Hill resting state, connectivity, machine learning
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
Fabrizio De Carli National Research Council - Italy Mild Cognitive Impairment; Alzheimer Disease; FDG-PET
Mariana de Carvalho Pereira State University of Campinas CNN network, AD biomarkers, AD
Manlio De Domenico Universitat Rovira i Virgili Multilayer networks
Leonardo de Geus PUCPR diagnosis, alzheimer, research
Philip De Jager Brigham and Women's Hospital Cognitive reserve
Javier de la Rúa Martínez Universidad Politécnica de Madrid Features extraction MRI module
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
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
Niek de Schipper Tilburg University Data integrating, Simultaneous component analysis, gene-environment interaction
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
Rashid Deane University of Rochester Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
Dominic DeBiaso McKinsey & Co Prodromal, Alzheimer's disease, machine learning, deep learning, patient segment
Charles DeCarli University of California at Davis MRI, cerebrovascular disease
Michael Decker Case Western Reserve University hypoxia, hyperoxia, neurodegeneration
Summer Decker University of South Florida Morsani College of Medicine morphometrics
Brittany DeFeis University of Florida MCI, intervention, functional outcomes, clinical outcomes
Sebastian Del Barco University of Colorado Denver fMRI, PET, Convolutional Neural Network, Early Diagnose, AD
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
chunyan deng southern medical university AD MCI
Yanjia Deng The Chinese University of Hong Kong MRI, visual function, MCI, AD
Qiao Deng Northeastern University DWI MRI
Hao Deng University of Chinese Academy of Sciences Student
Xianqiong Deng Wayne State University machine learning, medical images
YANG DENG Tsinghua University research
Kristina Denisova Columbia University Medical Center structural and functional MRI
Dennis Deptula Immunobrain Checkpoint Clinical Trials, outcome measures, Alzheimer
Brendan Depue University of Louisville PTSD, Amygdala, Morphometry
Thomas DeRamus University of Alabama Birmingham Diffusion Imaging, funcitonal connectivity
Juhi Desai In-Med Prognostics Segmentation
Sameer Deshpande University of Pennsylvania Bayesian methodology, mixture modeling, spatial smoothing
Rahul Desikan Martinos Center for Biomedical Imaging MCI, MRI, morphometry
Avin deSilva Clear Brook High School Machine Learning
Brian Destrada Recent Graduate Student Amaloyd, Tau
Kacie Deters Stanford University genetics, imaging, cognitive decline
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
Blake Dewey Johns Hopkins University mri, ct, synthesis
Raunak Dey University Of Georgia Skull scraping
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
Xin Di University of medicine and dentistry of new jersey connectivity, pet
Mamadou Diaby Alten regression test
Kimberly Diah Nova Southeastern University - Biomarkers, AD severitty, MCI, Neuroinflammation
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
Samuel Dickson Pentara Corporation genetic risk validation meta-analysis SNP
Karl Diedrich Perkin Elmer Analytics correlation
Kersten Diers German Center for Neurodegenerative Diseases quality control; statistical modeling
Louis Dieumegarde IUSMQ Database
Vanderson Dill Pontifícia Universidade Católica do Rio Grande do Sul Hippocampus Segmentation, Evaluation
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
yanhui ding University of Pennsylvania biomarker detection
Xuetong Ding HeBei University image processing about human brain
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
Vitaly Dobromyslin University of Massachusetts Lowell Machine learning, genetics, fMRI, PET
Hiroko Dodge Oregon Health & Science University MRI volumetric changes
Merve Yusra Dogan Istanbul Medipol University functional connectivity, neuropsychological test, fMRI, big data
Oriol Dols-Icardo Sant Pau biomedical research institute Genomics, MRI
Sudipto Dolui University of Pennsylvania ASL, signal processing, denoising
Carmen Dominguez University of Florida PET
Frank Dondelinger Lancaster University lasso, prediction
chao dong Northeastern University segmentation
Qunfeng Dong Loyola University of Chicago Machine learning, Medical Image Analysis
Shidu Dong Chongqing University of Technology Image Segmentation
Di Dong Carnegie Mellon University Deep Learning, Prediction, Machine Learning
Michael Donohue Keck School of Medicine of USC ADCS
Sri Donthineni High School Student Genetics
Lingraj Dora VSSUT brain tumor detection
vincent Dore CSIRO PET longitudinal
Lena Dorfschmidt University College London connectomics, rich club, NBS
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
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
Daniel Drake Columbia University elastic net, penalized regression, biomarkers
Derek Drake Harvard University AD
Gabriel Dreiman Cornell University TADPOLE
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Wenhao Du CSU dwh1023725
Xiuli Du Nanjing Normal University Image recover; regression model
Kevin Du Xiamen niversity Academic propose
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Yuhui Du The Mind Research Network; Shanxi University Biomarkers, Classification, Clustering
Jinglong Du Chonqing University MRI
yingying duan southern medical univercity MRI
Fang DUAN The University of Tokyo DNB, network analysis
Yuzhuo Duan Dalian University of Technology registration
JUAN DUARTE UNIVERSIDAD NACIONAL DE COLOMBIA (UNAL) ALZHEIMER, MORPHOLOGY, DATA ANALYSIS
Shiv Ram Dubey Indian Institute of Information Technology, Sricity Image Retrieval, deep learning, feature vector, biomedical images
florian dubost Erasmus MC enlarged perivascular spaces, deep learning, neural networks
Simon Duchesne Université Laval Morphometry, MRI, multidimensional analysis
Simon Duchesne True Positive Medical Devices Inc. Biomarkers; Volumetry; Normative data
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
Julien Dumurgier Lariboisiere Fernand Widal Hospital APOE, AD, CSF biomarkers
Duc Duong Emory University proteins, biomarkers
Baskar Duraisamy Hindusthan College of Engineering and Technology Alzheimer's Disease, Hippocampus, Posterior Cingulate Cortex
Tugce Duran Indiana University School of Medicine MRI and PET scans, genotypes
Dunja Duran BESTA EPILEPSY PET MULTIMODAL
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
Amulya E R Sahrdaya College of Engg&Tech Alzheimer's Disease detection
Bobi Eastman Indiana University data analysis, research, early detection
Jennifer Eastman Northwestern University MCI
Susan Eaton Biogen epidemiology, predictive model
Mark Ebbert Mayo Clinic Challenging regions
Ainhoa Echeverria Genentech clusterin, ApoJ, eQTL
amira echtioui enis ya allah1
Steven Edland UCSD APOE
Emily Edmonds University of California, San Diego Mild cognitive impairment; Neuropsychology
ANTOINE D EDOUARD Harvard University MCY&ALzheimer
Carley Edwards Imperial College London Tau, Amyloid and FDG
Trygve Eftestøl University of Stavanger dementia, machine learning, deep learning
Dagmar Ehrnhoefer BioMed X Innovation Center CSF, tau
Fatima Ehsan National university of science and technology brain ct
Simon Eickhoff Research Center Jülich Aging, Prediction, Transfer
Rami Eisawy Technische Universität München deep learning ad mci cortical thickness
Sarah Eisenstein Washington University School of Medicine dopamine SNP BMI
Chima Eke Plymouth University Biomarker discovery
Shereen Ekhlas Cairo Univerity Alzheimer Disease, ADNI, MRI
Anders Eklund Linköping university Deep learning, multi modality, fMRI, dMRI, convolutional neural network
Karim El Hallaoui The University of Hong Kong Brain segmentation
Lamia EL-BESRI University Alzheimer
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
Vidhya.E elango Periyar University unstructured data
Ahmed Elazab Shenzhen University AD, biomarkers
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
Natalie Ellison Pentara Corporation Composites Genetics
Jeremy Elman UCSD Pupillometry, aging, dementia
abdo elsayed assuit university rmi
Ghada Elsegaee Arab Academy for Science, technology and Maritime Transport research
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
William Engels Portland State University TADPOLE challenge
Bob Engle Biogen ADNI Stat Programming, Baseline Analyses to understand disease progression
Rahim Entezari Institute for Research in Fundamental Sciences gan,anomaly
Gina Eom University of Toronto inflammation
Joel Eppig SDSU/UCSD Joint Doctoral Program in Clinical Psychology MCI, Latent Variable Modeling
Noam Epstein University of Illinois at Chicago Pharmacoepidemiology
Fusun Er Yeditepe University Alzheimer's Image Processing
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
Simon Eskildsen Aalborg University cortical thickness, brain mapping, segmentation
mohamad eslami tehran university of medical science alzheimer , research
Sahar Esmaeeli Abbvie Alzheimer, imaging, Genetics
Soheil Esmaeilzadeh Stanford University deep learning course, Stanford university, class project
Luis Espinosa York University Traumatic Brain Injury and Alzheimer's Disease
Karol Estrada Biogen Alzheimers genetics nerological
Hary Estrada Bueno Florida International University dementia
A Et EtPc Ad, MRI
Lee EunChong Korea Univ. shape analysis
Lee EunChong Korea Univ. shape analysis
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
Siobhan Ewert Harvard Medical School DBS, normalization
Paul Expert Imperial College London Graph Convolutional Neural Networks, Complex Networks
Ali Ezzati Albert Einstein College of Medicine Volumetric, MRI, Amyloid, cognitive decline
saeid fa Qazvin Islamic Azad University image classification
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
Sylvain Faisan Icube Image processing, pattern recognition
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
Raul Falcão UFPE database, bioinformatics
Yonghui Fan Arizona State University ADNI2-GO MRI data
ZHEN FAN Imperial College London Longitudinal amyloid tau
zhen fan Huashan hospital of Fudan university for reaserch
Weina Fan Qufu normal university Research the Alzheimer's disease
ZHEN FAN Imperial College London AD biomarkers PET MRI
Sili Fan UC Davis normalization
Jim Fan Stanford University deep learning
zhiwen fan Xiamen University MRI, DEEP LEARNING
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
CHAO FANG THE UNIVERSITY OF MANCHESTER machine learning, automatically detection
ZY Fang Peking University fMRI, Alzheimer's Disease, CAD
Xiaoling Fang McGill University Alzheimer's disease, MRI, DTI, PET, system failure, brain networks
Zhengyang Fang Peking University fMRI, Alzheimer's Disease
ZHOU FANG Chinese University of Hong Kong Deep Learnining, 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
Farhood Farahnak Shahid Beheshti University Deep Learning
David Fardo University of Kentucky Pathway-wide association, AD
Bijan Farhoudi University of Calgary MRI
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
Danielle Farrar Boston University MCI, Alzheimers, fMRI, Executive Function, frontal lobe
Cathy Farrar Rockwood School District early onset dementia and plaque formation
Michelle Farrell Massachusetts General Hospital amyloid, cognitive decline, preclinical AD
Chloe Farrell King's College London Genetics; Neuroscience; Neurodegeneration; Neuroimaging
Lindsay Farrer Boston University School of Medecine gwas alzheimers meta-analysis adgc
maedeh fasihi ucf machine learning, classification, pattern recognition
fatemeh fatemehh tehran fateme
Sina Fathi Iran university of medical sciences CDSS, Alzheimer's disease, deep learning
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
Clélia Favary INSERM U1219 BORDEAUX POPULATION HEALTH risk score - dementia - external validation
Amir Fazlollahi CSIRO ASL Perfusion
Franklin Feingold USC Neuroinflmmation
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
Sheng Feng AbbVie ApoE, imaging biomarkers, clinical trial designs
Xinyang Feng Columbia University AD imaging biomarker
Sheng Feng Green Valley Research Institute DNA Seq, GWAS, ApoE
Tao Feng UIH America, Inc PET resolution
Christine Fennema-Notestine UCSD MRI, thickness, morphometry, shape analysis, PET
darius Ferdows Mindsquare MRIs, Imaging,
Marzieh Fereidouni IPM memory, MRI, AD
Miguel Fernandes Faculdade de Ciências e Tecnologia of Nova University of Lisbon Classification
MIGUEL ANGEL Fernandez University of Cadiz PET, image, machine learning
Alberto Fernandez Pena FIBHGM dti, fmri, connectivity
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
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
Luiz Kobuti Ferreira University of São Paulo functional connectivity; resting state fMRI; aging
Diego Ferreira UNIVERSIDADE FEDERAL DE SÃO CARLOS neuropsychology; Psychology studies; Alzheimer
Constance Ferrero sorbonne thesis
Mark Fiecas University of Minnesota fMRI, connectivity, longitudinal
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, Davis Alzheimer's Disease, biomarkers
Teresa Filshtein University of California, San Francisco genetics, Friday Harbor
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
Christopher Fischer Sanford Health NA
Florian Fischer Universtiy Medical Center Mainz Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Jonathan Fisher Harvard University alzheimer
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
Darren Fletcher Newcastle University fMRI, brain activation, mathematics
Alberto Flores Universidad de Monterrey (UDEM) Biomarkers, Engineering, Image Processing
Nicolas Florez Uniandes TADPOLE
Morgan Fogarty Massachusetts General Hospital FreeSurfer
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
Mark Folkin KPI medical, surgery, operation, patient
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
Lauren Foster University of Manchester FLARE, T1W, hyperintensities
Panagiotis Fotiadis Massachusetts General Hospital atrophy; cerebral amyloid angiopathy; alzheimer's disease
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
Silvia Franchini University of Palermo Alzheimer disease, hippocampus, texture segmentation
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
Adam Freund Calico Life Sciences aging
Brad Friedman Genentech, Inc. bioinformatics genetics
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
Ling Fu University of Shanghai for Science and Technology Independent Component Analysis,ICA,FNC
yu fu lanzhou university longitudinal brain changes; MCI;AD
Tianyu Fu BIT registration
Zhihui Fu Shanghai Jiao Tong University Alzheimer Disease, Convolutional Neural Network
Tong Fu MHH AD, structure connectivity
jilian fu Tianjin Medical University GWAS,grey matter volume ,healthy aldult
Bin Fu HKU machine learning
ke fudao Beihang University kai6849868
Emmanuel Fuentes Freelance image processing
Motonobu Fujishima National Center of Neurology and Psychiatry differential diagnosis; Alzheimer's disease; FDG-PET; MRI
Tadanori Fukami Yamagata University longitudinal analysis, indicies
Brian Fulton-Howard Icahn School of Medicine at Mount Sinai PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS
Tsukasa Funane Hitachi, Ltd. AI, Machine learning
Cory Funk Institute for Systems Biology Alzheimer RNA-seq WGS
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
abdallah gad misr university AD-MCI-NC - machine learning - classification - feature extraction
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
Caterina Galandra School for advanced study IUSS-Pavia Alcohol
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 *
Paul Gallins NC State University data integration neuroimaging genetic
Marian Galovic UCL longitudinal, epilepsy, progression
Amr Gamal Faculty of Engineering, Alexandria University Deep learning, Computer vision, TADPOLE
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
Lin Gan Illinois Institute of Technology DTI, image registration
Christina Gancayco University of Virginia MRI, network, connectivity, structural changes
amir hosein gandomi sahand university of technology traumatic brain injury, finite element method, 3d model
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)
Och Ganzorig Inha university ADNI
ruiqi Gao Harbin Engineering University research
Lei Gao Neuroimaging and Informatics Institute classroom exercises
Yuanyuan Gao sothern medical university PET MRI
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
Fei Gao Arizona State University AD,MCI, Machine Learning
Yang Gao The University of Queensland deep learning, undersampling
Linlin Gao Harbin Engineering University corner matching, medical image, classification
Fei Gao University of North Carolina at Chapel Hill Biomarkers, Joint modeling
Yurui Gao Vanderbilt University functional connectivity
Jingjing Gao University of Electronic Science and Technology of China early diagnsis of AD
Yann Gao - deep learning
ju gao Nanjing Brain Hospital network
Xiao Gao University of California, San Francisco atrophy, cognition
Ming Gao Qingdao University hippocampus;texture characteristics; diagnose and treat effectively;AD based on
qu gaochao Donghu autism
Sara Garbarino UCL Network diffusion models
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Gracian Garcia Quiron PET; SPM; templates
Miguel Garcia Boehringer-Ingelheim historical controls, placebo, disease modelling
Jorge Garcia UPM MRI
Mireia Garcia Gaig Universitat de Barcelona PET
jorge Garcia Novoa UPM Brain
Alberto Garcia Salguero University of Granada Alzheimer
Mar Garcia Valero Fundació Ace Endophenotype study
Jord Garcia-Ojalvo Universitat Pompeu Fabra Brain dynamics, relaxation dynamics, potential landscapes.
Divya Garg University of Strathclyde sleep disorders, neuropsychological assessment, MRI
Gaurav Garg University of Ulster Modeling, EEG, fMRI, Alzheimer's, AD
Valentina Garibotto Geneva University Hospitals FDG PET, tau, Ab42, CSF
Ángela Garrido Pascual Universidad de Sevilla medical digital image processing
Eduardo Garza-Villarreal Instituto Nacional de Psiquiatria diabetes, imaging genetics, neuroimaging
Fiona Gaskin Open University Alzheimers
Dimitris Gatsios University of Ioannina balance, cognition
Vincent Gaudet University of Waterloo iterative algorithms, belief propagation, stochastic computing
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
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
Claudio Gentili University of Padova SVM, Depression, Cognitive functions
Claudene George, MD, RPh Albert Einstein College of Medicine ACE Inhibitors, Dementia
Loraine Georgy McGill University (Montreal Neurological Institute) Cortical thickness; blindsight; hemispherectomy; lesions; visual systems
Richard Gerkin Arizona State University teaching
Felix Gess individual research Alzheimer , artificial neural networks, DNN, RNN
Olivier Gevaert Stanford University deep learning multi-scale modeling
Mina Ghaffari Macquarie University PET MRI ASL T1W Deep Learning
zahra ghanbari Tehran University of Medical Science (TUMS) Alzheimer, DTI, SES, hippocampus, memory, BMI
vahid ghanbari Amirkabir University of Technology Alzheimer - deep learning
Ladan Ghazi-Saidi Cleveland Clinic Tau, cognitive decline, AD, biomarker, atrophy
Amirhossein Ghaznavi Islamic Azad Science and research data access, convolution nueral network
sailee ghodekar K.J.Somaiya brain
Reyhaneh Ghoreishiamiri University of Alberta Early diagnosis
Sreya Ghosh University of California, San Diego big data, Machine learning
Kaushik Ghosh University of Nevada Las Vegas Bayesian analysis, tractography
SUKANTA GHOSH JADAVPUR UNIVERSITY detection of Alzheimer's Disease
Saikat Ghosh university of Calcutta mri,tumor
Saheb Ghosh VIT University alzheimer, Machine Learning
Ankur Ghoshal JU Segmentation
Sukhmanjit Ghumman University of Sherbrooke rsfMRI FunctionalConnectivity Alzheimer's GraphTheory HubAnalysis
Trung Giang VNU University of Engineering and Technology Alzheimer's Disease, MRI
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
Joseph Giorgio University of Cambridge Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Diana Giraldo Universidad Nacional de Colombia Morphometric Analysis
Juan D. Gispert Fundació Pasqual Maragall Partial Volume Correction,
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
Arnaud Gloaguen Neurospin Multi-way, CCA, Classification, Integration
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
Martin Goettlich University of Luebeck morphometry hippocampus
Margarethe Goetz Emory University Genetics, using ADNI data as a teaching example, Friday Harbor
Sheng-Yang Goh UCSF frontotemporal dementia
Suril Gohel School of Health Professions, Rutgers University PET, MRI, Alzheimer
Dilek Goksel Duru Istanbul Arel University ANN, CNN, feature extraction, biomarker
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
Danielle Goldfarb Banner Alzheimer's Institute sleep, ventriculomegaly
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
Sara Gomes FEUP Alzheimer, Image analysis
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
Enhao Gong STANFORD UNIVERSITY Deep Learning, Compressed Sensing
Shi Gongming Beijing University of Technology MCI,AD.
Julie Gonneaud McGill University Family history, Alzheimer's Disease, Biomarker, Preclinical
Camila Gonzalez TU Darmstadt Tadpole Challenge
Gerardo Gonzalez University College London AD, Big data, Automated anomaly detection
Clio Gonzalez University of Southern California Genetics, Neuroimaging
Eduardo Gonzalez Moreira University of Electronic Science and Technology of China multimodal neuroimaging data
Consuelo Gonzalo Martin Universidad Politécnica de Madrid Dementia, Alzheimer, image biomarkers
James Goodman Oregon Health and Science University Cerebrospinal fluid
Janakasudha Gopalan Sri Venkateswara College of Engineering Image analysis, Machine learning
Janakasudha Gopalan Sri Venkateswara College of Engineering Alzheimer's Disease, Brain image analysis, machine learning and deep learning
Andrew Gordon Data Analytics Labs AD, predictive analysis, advanced analytics, clinical trials
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
Mattias Göthlin University of Gothenburg, Institute of Neuroscience and Physiology Classification, prognostic accuracy, demography
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
Daniel Gourdeau Université Laval Radiomics,AD prognosis, machine-learning, texture analysis
William Goure Acumen Pharmaceuticals, Inc. soluble Aβ oligomers, CSF Biomarker, pre-analytical variables, TBI
Ankit Goyal Stanford U Brain MRI
John Graf GE Global Research kinetic system risk model PBPK BioDMET
Ariel Graff Universtity of Toronto depression, amyloid, PET
Neil Graham Imperial College London TBI neurodegeneration atrophy
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
Marilyn Grand'Maison Biospective PET, MRI, Alzheimer's, Cortical Thickness, AV45
Elena Grassi University of Turin eQTL, GWAS, transcription factors
Massimiliano Grassi Villa San Benedetto Menni Hospital Machine Learning, Conversion to Alzheimer's Disease, MCI
Katherine Gray Imperial College London Alzheimer's disease; early diagnosis
Elisabetta Grecchi King's College London PET,FDG,Dynamic
Elisabetta Grecchi GE healthcare AD, amyloid, prediction
Elaine Green Plymouth University L1 elements, retrotransposons
Robert Green Brigham and Women's Hospital and Harvard Medical School AD analyses
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
Daryl Greer Harvard University Education
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
Stefan Grivalsky STU FIIT (SK) machine learning, computer vision, medical image processing
Vince Grolmusz Eotvos University vertex connectivity, edge connectivity, network flows
Colin Groot VU University medical center Alzheimer's disease, Voxel-based morphometry, psychometrics
Perry Groot Radboud University Nijmegen causal
Irme Groothuis University College London microbleeds, deep learning
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
nandith gs student alzeheimer's disease,image processing,mri,matlab
Jiena Gu Kansas State University Biomarkers ADNI
Jiena Gu Kansas State University Alzheimer's Disease Progression
DONG GU HNU DIR
ginam gu Kyung-hee university Alzeheimer's disease
Zhengguo Gu Tilburg University bigdata, multi-block data, regularized simultaneous component analysis
Yuanfang Guan University of Michigan manuscript submission
Cecilia Guariglia Università Sapienza dementia, cerebellum, mri
Xavier Guell Paradis Massachusetts Institute of Technology cerebellum
Tobias Guennel Precision for Medicine MCI, socioeconomic impact of AD, genetic risk signatures
Laura Guerrier INSERM Benson syndrom
Pamela Guevara University of Concepción white matter bundles, anatomy, machine learning
Mauricio Guevara-Souza ITESM tadpole
Pratim Guha Niyogi Michigan State University Statistical Models
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
Abel Guimaraes Ryerson deep learning, Alzheimer’s Disease
Gaurav Gulati The NorthCap University Brain, A
Jeff Gulcher WuXi NextCODE Genomics pathway enrichment, classification, PET amyloid
SARITA GULIA BANASTHALI UNIVERISTY RAJASTHAN ADNI, AD , BRAIN , MRI
Melisa Gumus University of Toronto Computational Neuroscience, Modelling Alzheimer's Disease, COBWEB
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
YAXUAN GUO Hong Kong Baptist University analysis
weiping guo Beijing Normal University fmri,alzheimer
xingzhi guo Shanghai jiaotong university RAGE
Tong Yu Guo NorthEastern University deep learning
yi guo tongji university ASL;MRA;Alzheimer's disease
Yusheng Guo South China University of Technology asd123....
Ma Guo zhao Shandong Provincial Qianfoshan Hispotial maguozhao
Anubha Gupta IIIT-Delhi fMRI
Rijul Gupta Yale data, analytics
Vinay Gupta University of Manitoba Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Aayush Gupta SHS MRI, CT, Generative Adversarial Neural Network.
Navin Gupta Indian Institute of Technology, Guwahati clinical subtyping, data driven, symptoms, independent component analysis
Yubraj Gupta Chosun university CNN, Alzheimer disease
Kavya Gupta IIITD Reconstruction
gaurav gupta Shoolini University Alzheimer image segmentation machine learning
SHLOMIT GUR Penn State University Evolving functional connectivity analysis, machine learning, graph theory
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
Benjamin Gutierrez Becker Herr AD, MCI, Deep Learning, Early Prediction
Boris Gutman University of Southern California DTI, diffusion MRI, Alzheimer's, human connectome
Alex Gutteridge GSK metabolomics, biomarker
Holly Guvenli Okan University MCI, fMRI, entorhinal cortex, hippocampus
wang h qfnu research
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
Mallory Hacker Vanderbilt University Medical Center PDRP, PDCP, ADRP, FDG-PET
mohsen hadi shahid beheshti university of tehran alzheimer
Ravi Hadimani Virginia Commonwealth University Anatomically realistic head models, 3D head models, Brain phantoms
Pieris Hadjinastasi University of Cyprus MRI, alzheimer
Thaddeus Haight UC Berkeley path analysis; amyloid; FDG-PET; longitudinal study
Wang Haixing Southeast University image analysis
Noushin Hajarolasvadi Eastern Mediterranean University Alzheimer's disease, voxel-based morphometry, classification
Rima Hajjo UNC Chapel Hill Alzheimer's disease, publication, visting scientist, UNC-Chapel Hill Research
zahra hakimelahi islamic azad university tehran branch idea-alzheimer's disease
Jonathan Hakun Pennsylvania State University T2DM MCI AD DMN insulin resistance
Omar Halawa Harvard Medical School IADL, neuropsychiatric symptoms, tau PET
Lin Hall Green Valley Pharmaceutical LLC test and develop
Anette Hall University of Eastern Finland Alzheimer’s disease, MCI, MRI, CSF, Computer-assisted diagnosis
Drew Halliday University of Victoria DTI, neuropsychology
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
Rubi Hammer Assaf HaRoffe Hospital Aging
Tyler Hammond The University of Kentucky cognitive reserve, Alzheimer disease, aging, DTI, MRI
Shizhong Han The University of Iowa GWAS, heritability, sMRI, and fMRI
Peipei Han Southeast University cognitive test data
Hongjuan Han Shanxi Medical University AD data
Duke Han USC cognition, neuroimaging
qiu han The Affiliated Huaian Hospital of Xuzhou Medical University PLXNA4, Alzheimer’s disease, amyloid-β, correlation
qingchang han Tsinghua University leile521
Joo Yoon Han University of Washington Statistical analysis with brain imaging data
Deng-Yu Han National Taiwan University Hospital nighttime behavior; sleepiness; beta-amyloid; PET.
Xiaoxia Han NYU GWAS, modeling, prediction
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
Bernard Hanseeuw Massachusetts General Hospital Striatum hippocampus
Maria Hansen Technische Hochschule Mittelhessen Alzheimer's Disease, Neuronal Networks
Srinath Hanumantha Rao BITS Pilani University Neural Networks, Image Processing
Wang Hao Tianjin University image processing ;machine learning;computer aided system
Zhiying Hao University of Electronic Science and Technology of China machine learning ; medical image processing
Sun Haonan Northeastern University Alzheimer's disease
Clara Happ Ludwig-Maximilians-University Munich Functional Data Analysis, Functional Principal Component Analysis
Reduan Haque JU Cancer, Prostate
Bermal harman cukurova university yes
deidre harp AU late-life depression
deidre harp AU late life depression
David Harper McLean Hospital Alzheimer's disease, blood flow, Cerebrovascular Reactivity
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
Jacqueline Harris University of Calgary Machine Learning, Neuroimaging, Psychiatry
Brian Hart University of Minnesota School of Public Health functional connectivity longitudinal
Danielle Harvey Unversity of California, Davis biostatistics
Krysten Harvey Vanderbilt University Machine learning, neural network
Khader Hasan University of Texas Health Science Center at Houston diffusion tensor, CSF
zeinab hasanvand Islamic Azad University Central Tehran Branch Alzheimer"sdisease, structural MRI, calssification
Tsuyoshi Hashimoto Advanced Imaging Center, Tsukuba, JAPAN resting state functional MRI, dementia, MRI, FSL
MOHAMED Hassan Deakin University ADPOLE
moaied hassan university of scince and technologu Mri
Younes Hassani Abdollahi IASBS AD, Alzheimer's
Hamid Reza Hassanzadeh Georgia Institute of Tech Deep Learning, Multi-modal prediction
Oktie Hassanzadeh IBM data analytics research
Jason Hassenstab Washington University in St. Louis Genetics, using ADNI data as a teaching example, Friday Harbor
Nikki Hatamian University of California, Irvine diabetes, Alzheimer's, hippocampus, cortical atrophy
Sean Hatton UCSD MRI, data harmonization
Ghazal Havoutis Nova Southeastern University biomarker, diagnostic performance, Alzheimer's detection, MCI
Toshihiro Hayashi University of Tokyo MRI, psychology, biomarker
Jasmeet Hayes VA Boston Healthcare System Cortical Thickness
Scott Hayton BGC3 Integration
joydev hazra Heritage institute of technology prediction
Yao He University of Utah PET, FDG-PET, Focal AD
Huiguang He Institute of Automation, Chinese Academy of Scicences fMRI, DTI, Medical Image Processing
Linchen He New york university Association test, binomial mixture model, complex disease, genetic heterogeneity
Jie He Ohio State University alzheimer's disease, amyloid beat
Jishuai He Northeastern University Of China personal study purpose
Lianghua He Tongji University deep learning, RNN, LTSM
roh hedayati Esfahan University MCI+MRI+PET
Trey Hedden Massachusetts General Hospital Genetics, using ADNI data as a teaching example, Friday Harbor
Mohamed Hefny Queen's University Medical Data Analysis, MUltisource data integration, Disease Understanding
serve heidari SBMU fMRI
William Heindel Brown University biomarkers, disease progression, cognitive decline
Elisa Heinrich Mora Hanyang University WMH Normal cognition subcortical vascular cognitive impairment individuals
Ali Hejazizo University of Alberta machine learning
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
Adriane Henriques Universidade de Brasília Alzheimer disease, CSF, imaging, biomarker
Claudio Henriquez University of Manchester Alzheimer disease, MRI, PET, QDA, LDA, automatic diagnosis
Lindsey Hergesheimer USC- Keck School of Medicine ADNI
Lindsey Hergesheimer USC- KSOM data visualization
Haithem Hermessi Faculty of science Tunis -Tunisia Deep learning, multimodal image fusion, CNN
Raidel Hernandez Florida State University Training a convolutional neural network to recognize types of brain damage
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
Kelsey Hewitt Mercer University Education, Depression
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
Keigo Hikishima Okinawa Institute of Science and Technology Preclinical MRI
James Hill Northwestern University Predicting Brain Age, Predictive Models,A lzheimer Detection, Brain Disorders
Steven Hill University of Cambridge risk stratification, risk prediction, statistical methods
Frank Hillary Pennsylvania State University hyperconnectivity, MCI, risk, neurodegeneration
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
Dylan Ho CUHK Atlas, AD, Asia
Ngoc-Huynh Ho Chonnam National University Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
John Hoffman University of Utah FDG-PET, SPM group analysis
Malte Hoffmann Martinos Center longitudinal morphometry Freesurfer
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
yi hong the University of Hong Kong fMRI ADHD
zou hongliang Nanjing University of Science and Technology research
Guo Hongyu SC University Medical image processing
Joost Hop University of Groningen MRI CT brain phantom
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
Steve Horvath University of California Los Angeles DNA methylation, SNP, epigenetic age, epigenetic clock, brain volume, MRI
Khalid Hosny Zagazig University CAD system, Feature extraction
Mohammad Arif Hossain East Delta University Alzheimer disease
zahra hosseini science and research university Deep Learning, MRI dataset, early detection
Hadi Hosseini Stanford University big data, prediction
zahra hosseini SRBIAU alzheimer disease
Eghbal Hosseini Massachusetts Institute of Tech. deep learning, diagnosis
Ehsan Hosseini Asl University of Louisville Alzheimer Detection, Deep Learning
Beibei Hou Beijing University of Posts and Telecommunications Medical image analysis
Beibei Hou Beijing University of Posts and Telecommunications alzheimer's disease
Katherine Houghton RTI Health Solutions biomarker, natural history, cost effectiveness
Richard Houghton F.Hoffmann - La Roche Ltd prodromal safety
Marion Houot APHP course statistics
Erin Householder Washington University School of Medicine : As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
Naomi Hoven Tilburg University thesis, master
James Howlett Medical Research Council EPAD Risk Modelling
Ing-Tsung Hsiao Chang Gung University Feature Extraction; Early Diagnosis
Owen Hsu Wistron image processing, cluster, pipeline
Eugene Hsu Massachusetts General Hospital fMRI Downs MCI AD
Hsiang Hsu Harvard stage (normal, MCI, or AD), cognitive tests
Ai-Ling Hsu National Taiwan University thalamus, functional connectivity
Chih-Chin Hsu National Yang Ming Uniersity lifespan, diffusion, sex difference
Haimeng Hu Huashan Hospital, Fudan University, Shanghai, China hippocampal volume standard
Richard Hu Amgen, Inc Biomarker
Xiaolan Hu MyGeneRecipe dementia, biomarker
Lingjing Hu Capital Medical University Texture analyze, VBM
xiaoyu hu peking university fpca
Kun Hu Shanghai Jiao Tong University machine learning, auto-diagnosis
Tom Hu UC Berkeley CNN, Tensor, Regression, Deep Learning
Shuwen Hu Queensland University of Technology Longitudinal Machine Learning Method
Yongli Hu Institute for Infocomm Research heterogeneous analytics, patient stratification
Nan Hu Genentech biomarker; disease progression
Helen Hu C2N Diagnostics, LLC fluid biomarkers
Tao Hua Huashan hospital, Fudan university Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Fei Hua Applied Biomath Alzheimer's Disease, mechanistic model, Abeta
Rui Hua Southeast University deep learning,multimodal imaging,CNN
Liang hualin Tianjin Polytechnic University MCI
Meiyan Huang Southern Medical University association anlysis
Biwei Huang Carnegie Mellon University Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
Yu-Hao Huang National Taiwan University VGG16, transfer learning, Resnet
He Huang Lehigh University 3D skull Stripping
Zhiyue Huang MRC composite
Haiqing Huang University of Pittsburgh amyloid, PET
Yuhan Huang National Cheng Kung University Alzheimer's disease, Data mining
Baron Huang Northwestern Polytechnical University Deep learning,Recognition,MRI,Hippocampus
Chin-Wei Huang National Cheng Kung University alzheimer's disease
Yechong Huang Fudan University MRI, Machine Learning, AD, MCI
Edward Huang University of Illinois at Urbana-Champaign Network integration, EMR analysis
Jiashuang Huang NUAA medical imaging;TADPOLE
YUE HUANG XIAMEN UNIVERSITY MACHINE LEARNING, DEEP LEARNING, MEDICAL IMAGE ANALYSIS VALIDATION
Peiyu Huang Zhejiang University CBF, network
Chao Huang UNC multiscale adaptive regression model shape analysis
Yechong Huang Fudan University MCI, Machine Learning
yi huang institute of automation, Chinese academy of sciences waite
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
Xin Hunt SAS Institute Inc. machine learning, transfer learning, predictive model
Shu Huo University of California, Santa Cruz Bayesian data analysis, rsfMRI, connectivity
Zhiguang Huo University of Florida statistical methodology, clustering algorithm, Alzheimer’s disease subtypes
Hans-Jürgen Huppertz Swiss Epilepsy Centre MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
Aamira Huq University of Melbourne/ Royal Melbourne Hospital Dementia polygenic risk score, resilience
Vojtech Huser National Institute of Health clinical research informatics, common data elements, data science
R. Matthew Hutchison Biogen Tau, Amyloid, functional connectivity, brain dynamics
Alexandre Hutton McGill University machine learning, prediction
Jaeuk Hwang University of Utah brain age
Jihye Hwang Asan medical center time analysis
JUNGMOON HYUN Northwestern University- Feinberg School of Medicine Aging, dementia, brain, clinical data
Jung Keun Hyun Dankook Univ Traumatic brain injury; spinal cord injury
Febin I P NITK, Surathkal, India restoration
alfredo iacoangeli king's college London telomere, bioinformatics , NGS , WGS
Krystal Iacopetta University of Adelaide Neurodegenerative Disease, neuroinflammation, vitamin D
Victoria Ibañez University Jaume I Statistics,image analysis, neurology
Esther Ibanez ISI Foundation topological data analysis
Aliaa Ibnidris University of Geneva MCI, AD, Hippocampal atrophy
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
Alexandru Iftimie Politehnica University of Bucharest Dep learning
Takuma Igarashi Toshiba Medical Systems Corporation Volumetry, multi-contrast analysis
Juan Eugenio Iglesias Massachusetts General Hospital, Harvard Medical School hippocampal subfield, segmentation
Kay Igwe Columbia University WMH, Spectrum, MRS, 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
Otto Ikome Jackson Sate University Social determinants
Toshikazu Ikuta University of Mississippi DTI; tractography; genetics
rajkumar imatiz VTU Alzheimer's disease, ADNI
Murali Krishna Immadi Potti Sriramulu Chalavadi Mallikarjuna Rao Engg college high dimensional Alzheimer’s disease databases,classification,severity
Umer Imran National University of Sciences and Technology (NUST) 145236
Shah Imran Dhaka University of Engineering and Technology thesis
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
David Irwin University of Pennsylvania UDS, GWAS
Mariano Isaza Universidad EAFIT Thesis, image processing
Mrinal Ishant Artelus machine leaning
Manabu Ishida ERISA Co., Ltd. Alzheimer's Disease, MCI, Machine Learning, 3D Convolutional Neural Network
Makoto Ishii Weill Cornell Medical College biomarkers, metabolic hormones, preclinical
Daisuke Ishii Jenio Inc. team ai
Kenji Ishii Tokyo Metropolitan Institute of Gerontology J-ADNI, PET, MRI
David Iskander mapd medical data
Jyoti Islam Georgia State University fMRI, Alzheimer’s Disease, Deep learning, CNN
Mazharul Islam RCC Institute of Information Technology ADNI database
BOUKLI HACENE Ismail Tlemcen university alzheimer, ADNI,PET,IRM
Aya Ismail University of Maryland Machine learning , classification
Victor Ernesto Issa Garcia Columbia University Medical Center Taub Institute BEaST
Elvin Isufi Tu Delft detecting anomalies over networks
Atsushi Iwata The University of Tokyo J-ADNI
Walter Izquierdo Florida International University BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
dheeba J Vellore institute of technology machine learning
ALPHIN J iiit Longitudnal data model
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
shen jack zjut image segmentation
yu jack University Of Electronic Science And Technology Of China deep learning,Recurrent neural network,AD
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
Kourosh Jafari-Khouzani Massachusetts General Hospital FLAIR
Bushra Jaffar University of management and technology, Lahore , Pakistan 1234
Akshay Kumar Jagadish EPFL correlation
Suresh Jaganathan SSN College of Engineering Deep Learning, Stacked Auto Encoder, Multilayer Perceptron
William Jagust UC Berkeley PET, ROI
Joseph Jahr Molecular NeuroImaging CSF, PET, Florbetapir
Manju Jain Meerabai Institute of Technology alzheimer's, spm12, SMRI data
Divya Jain University of Pennsylvania imaging, MRI, bioengineering, texture
Akshay Jaiswal IIT Varanasi Association Analysis; Data Mining; Gene-gene Interaction; SNPs; SVM
Ayush Jaiswal USC Structural MRI, MRI, Deep Learning, Machine Learning
Goran Jakimovski KTI Deep Neural Networks, computer algorithms, Machine Learning
Andreas Jakobsson Lund University Deep neural networks, statistical analysis
Sharna Jamadar Monash University parenthood, cortical thickness, connectivity
Mahnaz Jamee INRP resting state fMRI, functional connectivity, mild cognitive impairment, DMN
Hyesue Jang Seoul National University Brain atrophy, Ethnicity, MRI, Aging
Jinhee Jang Seoul St. Mary's Hospital, College of Medicine, The Catholic Univeristy of Korea Deep learning, Atrophy, visual assessment
Jae-Won Jang Kangwon National University Hospital Visual rating scale, Brain MRI, Alzheimer's disease
Insu Jang Korean Research Institute of Bioscience and Biotechnology Deep learning image analysis
Jinseong Jang Yonsei University deep learning
Kyung Eun Jang Kyungpook National University functional MRI
Marcin Jankiewicz University of Cape Town DTI, Resting State, multimodal imaging
Iris Jansen VU University Genetics, polygenic risk scoring, alzheimer, gwas
Kharne Jean University of Georgia APOE e4 functional independence white matter integrity
Angela Jefferson Boston University Cognitive Performance, Aging
manaswini jena ITER image segmentation, ANN
Stephen Jenkins University of Strathclyde Functional connectivity analysis, cortical thickness, disinhibition, cognitive
Danna Jennings Eli Lilly and Company volumetric MRI, Amyloid imaging
Seun Jeon Montreal Neurological Institute & Hospital, McGill University reproducibility
Minkyeong Jeon CHONBUK NATIONAL UNIVERSITY Alzheimer's disease, Machine learning, Feature extraction, Biological neural net
Yong Jeong KAIST fMRI, Resting State, DMN connectivity
JEON JEONGMIN SEOUL NATIONAL UNIVERSITY smooth backfitting
Andreas Jeromin Atlantic neurofilament
Ketan Jethwa University of Nottingham Basal nucleus of Meynert
Sangitha Jeyaseelan McGill University CSF biomarkers
Abhilasha Jha Vellore Institute of Technology Convolutional Neural Network, Sparse Autoencoder
Chenhong Ji Leids Universitair Medisch Centrum registration
zilong ji Beijing University of Technology machine learning diagnosis
Gong-Jun JI Anhui Medical University classificaiton, disease, fingerprint, functional connectome
Jin Ji Genentech Inc. Graphs
Bowen Jia UC davis network
Keren Jia Nantong University three-dimensional, MRI, ADNI
hao jian Beijing University zhongwen
Chunxiang Jiang Shenzhen Institutes of Advanced Technology neural activity, brain network
Tao Jiang Singapore University of Technology and Design Alzheimer's, shape, cdr
Curry Jiang Central South University deep learning, medical image processing
Xiong Jiang Georgetown University Medical Center MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
Yuxi Jiang University of Warwick joint modelling, longitudinal process, event time analysis
Yueyu Jiang Sun Yat-sen University CNN, medical image, Alzheimer's disease
Gao Jianhua Taiyuan University of Technology Alzheimer's disease
wang jiayi BUAA Deep reinforcement Learning,image recognition
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
Hyeongmin Jin Seoul National University Alzeimer's disease, Image data analysis
Yan Jin University of California, Los Angeles DTI
Zhuochen Jin Tongji University jzc5159746
Ye Jin JIlin University AI,Data Mining
ishan Jindal Wayne State University TADPOLE
Liu Jinduo Beijing university of technology fMRI; AD;brain effective connectivity network;Bayesian networks
Liu Jinduo China brain network; effective connectivity; Bayesina network; AD
Guo Jing Lanzhou university Alzheimer's diease, predisposing risk, correlations
Xiong Jingyu Shanghai University AD, SVM
Chen Jinqiu Guizhou University alzheimer1992
Sangkyun Jo KAIST Network Analysis; Graph Theory; Machine learning; Spinal cord;
Karan Jodha Vellore Institute of Technology, Vellore CT-Scan,Alzheimer's disease
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
Stian Johnsen BrainMiner Ltd. CAD, AD, Software validation
kent johnson University of New South Wales prediction
Sterling Johnson University of Wisconsin-Madison tau, amyloid, pre symptomatic
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
Lars Jonasson Umeå University FDG imaging methods
Richard Jones Brown University testing, practice effects
Matthew Jones Cardiff University machine learning, APOE, cognition
Harpa Jonsdottir Brown University Genetics, using ADNI data as a teaching example, Friday Harbor.
Linus Jönsson H. Lundbeck A/S Economic evaluation, disease progression
MARIYA JOSE SAHRDAYA COLLEGE OF ENGINEERING AND TECHNOLOGY MRI IMAGE
Anthony Joseph Unite Genomics, Inc. GWAS, disease progression, drug response models, machine learning, image analysi
Jane Joseph Medical University of South Carolina rsfMRI, graph theory, machine learning
Anand Joshi USC MCI, cortical thickness
Shantanu Joshi LONI UCLA cortical distributions
Abhinay Joshi Avid Radio-pharmaceuticals, Inc. flrobetapir
Abhishek Joshi University of Washington computer vision
Himanshu Joshi National Institute of Mental Health and Neurosciences ApoE Neuroimaging
Jitesh Joshi Tata Elxsi Ltd DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection
Richard Joules IXICO Neuroimaging Machine Learning
Lin Jovi zjut competition
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
MARUTA JUMPEI Osaka city university graduate school of medicine deep learning
Kwan-Jin Jung University of Massachusetts Amherst functional connectivity
Jongsun Jung Syntekabio deep learning, hilbert, patient stratification, biomarker
Dongjun Jung None sMRI
Youngjin Jung Dongseo University ANN, CNN, PET, Dynamic PET.
Ho Yub Jung Chosun University localization, machine learning, neural network
Zhuo Junjie Chinese Academy of Sciences MRI, neuroimage, AD
Viv Junker Sheffield Institute for Translational Neuroscience Overview, Resources, AD, ALS, PArkinsons', MND
Carlos Alex Sander Juvencio Gulo Universidade do Porto segmentation high performance computing
monika jyotiyana central university of rajasthan,Bandarsindri AD,neurodegenerative disorders,
karthik k NITK dataset , feature extraction, vsm, lsa
sabeena k COLLEGE OF ENGINEERING KARUNAGAPPALAY TADPOLE
chethan k Vidyavardhaka college of engineering cbmir
L K UoY BA47, Alzheimers, hippocampus
Amin Kabir University of Tehran Classification, Machine Learning
Neda Kaboodvand Karolinska Institutet functional connectivity; brain injury; neuropathological signs of AD
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
rahele kafieh isfahan university of medical sciences fmri, classification, graph
Bratati Kahali Centre for Brain Research IISc Cognitive scores, Clinical diagnosis, Demographics, Machine Learning
Li Kaicheng Zhejiang University 930606CC
Bodo Kaiser Ludwig-Maximilians-Universität München medical image synthesis, gan, cnn
Marcus Kaiser Newcastle University connectome analysis, computer simulations, network dynamics
Lisa Kakinami Concordia University cognition; longitudinal; brain atrophy
Vandana Kale AISSMS IOIT MRI brain images
Sanjay Kalra University of Alberta texture analysis
Shahab Kamali Google Inc. Machine Learning, Image Classification, Convolutional Neural Nets
Josh Kaminker Genentech clinical trial
Nagaendran Kandiah National Neuroscience Institute dementia, stroke, small vessel
Michiwo Kanekiyo Eisai Co., Ltd. MCI, efficacy, trajectory
Tomoki Kaneko shinshu university visual rating system
Alex Kanevsky Metis Machine learning, data science
YUN SEOK KANG The Ohio State University Post mortem human surrogate
Hakmook Kang Vanderbilt University functional connectivity, spatio-temporal model
Kai Kang Chinese University of Hong Kong Hidden Markov Model
Soo-Jin Kang Asan Medical Center machine learning
Seung Kang SNU deep learning
Jiayin Kang Huaihai Institute of Technology PET
jihye kang kisti Life Medical
Ju Hee Kang Inha University A-beta42, tau, phospho-tau
Yi Kang Beijing Normal University brain aging
MIN JU KANG Seoul National University Bundang Hospital Sleep, Amyloid, Alzheimer's disease
Jacob Kannarkat University of Miami Miller School of Medicine TADPOLE
Anuraag Kansal Evidera, Inc. simulation, model, clinical trial
Jayanth Kanugo University of Missouri CNN machine learning
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"
Helmet Karim University of Pittsburgh brain age, gray matter density, onset variability
Hamed Karimi Amir Kabir University of Technology alzheimer, diagnosis, FMRI, neuroimaging, machine learning. Gene expression
mahboobe karjoo science and research university fmri
Daniel Karlin Pfizer, Inc. Data, Transmart
David Karow Human Longevity, Inc early detection, integrated risk models
Chiheb Karray CNRS (Digital Research Centre of Sfax) Machine Learning, Data Integration, Biomarker Discovery
Christiana Kartsonaki University of Oxford joint models, landmarking
Naama Karu Wishart lab / TMIC metabolomics
Wataru Kasai Splink, Inc. MCI due to AD, MRI, Neural Network
kimia kasraian sbu resarch
Sara Kassani University of Saskatchewan Alzheimer disease, ontology, semantic data integration
Panagiotis Katsonis Baylor College of Medicine Evolutionary Trace
HKKATTI KATTI zeesense Deep learning, Brain functions, Consiousness
Rachneet Kaur University of Illinois at Urbana Champaign features, Alzheimer, Parkinson
Sukhmani Kaur Information Sciences Institute brain
Rachneet Kaur University of Illinois at Urbana Champaign Research, Clinical, Image Analysis
daman kaur ulster university Alzheimer's disease
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
Mümine KAYA KELEŞ Adana Science and Technology University Data Mining,Brain MR,Alzheimer Diagnosis&Detection&Prevention,Image Processing
Mitsunori Kayano Obihiro University of Agriculture and Veterinary Medicine Biomarker, CSF, plasma, Brain
yosra kazemi Brock University Deep learning; Alzheimer’s Disease; fMRI
Samaneh Kazemi Robarts Research Institute Alzheimer disease, Magnetic Resonance Imaging
Amirali Kazeminejad University of Calgary Graph Theory, Human Connectome, Machine learning
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
Aman KEdia Birla Institute of Technology and Science deep learning, Convolutional neural networks
Dorothy Keine Muses Labs mild cognitive impairment, Alzheimer's, decline, treatment
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
justin ker nni diagnosis
Daniel Kerr Laboratory of Neuroscience - LIM-27 genetic, biomarkers, cognition
Nirmal Keshava Constellation Analytics, LLC machine learning, unsupervised, patient similarity, precision medicine
Ronak Keshavarzi Islamic Azad University of Tehran Medical Branch Alzheimer’s disease and inflammatory doseases
sanaz keshvari aziunivercity image processing
Shelli Kesler University of Texas MD Anderson Cancer Center cancer Alzheimer's connectome chemotherapy
Daniel Kessler University of Michigan Statistics, Machine Learning, DWI
April Khademi University of Guelph brain segmentation, white matter lesions
bijen Khagi Chosun University Bijen
mahsan khaleghi rad tehran university of medical science mci,tau,amyloid beta,medial temporal lobe
Abdullah Khalili University of Hormozgan White Matter Segmentation, Convolutional Neural Networks
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
mohammad khanjani iust alzheimer
Tatiana Khasanova Rancho Biosciences disease progression, neuroinflammation, biomarkers
Ali Khazaee Babol University of Technology resting-state fmri
behnaz khazai university of southern california neuroimaging genetics
Mohamed Salah KHlif Florey Institute - Melbourne stroke AD hippocampus
Shahin Khobahi University of Illinois at Chicago Graph Signal Processing, Artificial Intelligence, Alzheimer's Disease
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
Alexander Khvostikov Lomonosov Moscow State University Medical imaging, Deep learning, Image Fusion, Convolutional Neural Networks
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
Umit Kilic Adana Science and TechnologyUniversity alzheimer,brain
Ron Killiany Boston University School of Medicine regions of interest, neocortex, hippocampus, entorhinal cortex
Donghyeon Kim NEUROPHET mri ct synthesis
Joseph Kim Seoul National University Deep Learning, multimodal registration
Minhee Kim University of Wisconsin, Madison prognostics; predictive analytics; Gaussian Process
Jong Hun Kim Samsung medical center GWAS, biomarker, prediction
Chi-Hun Kim University of Oxford Alzheimer's disease, Signature method, Longitudinal data modelling
Jeongsik Kim Samsung Medical Center FDG-PET; epilepsy, metabolic changes
Hanwoong Kim Yonsei Univ deep learning
Byeongnam Kim Yonsei university MRI
Nakyoung Kim MIDAS IT freesurfer
Jongin Kim Gwangju Institute of Science and Technology machine learning, signal processing, sparse modeling
Jeongchul Kim Wake Forest University Baptist Medical Center Brain imaging, Biomechanic, Deformaiton, MCI/AD
Grace Kim Seoul National University Sex Differences, Alzheimer's Disease, Mild Cognitive Impairment
david kim hanyang university Alzheimer's disease
Seonjik Kim catholic university of Daegu PET, brain image processing
Dokyoon Kim Geisinger Health System Data integration, multi-omics data, machine learning
Hang-Rai Kim Korea advanced institute of science and technology Amyloid, MCI, Deep Learning
ChanMi Kim Asan Medical Center, Ulsan University School of Medicine MR image, PIB-PET, DTI tractography
Byung-Hoon Kim Korea Advanced Institute of Science and Technology (KAIST) fMRI, machine learning
Jung-jae Kim Institute for Infocomm Research, Singapore deep learning, heterogeneous data analytics, AD classification
SEONGJI KIM USC VOLUNTEER n/a
ki hwan kim KAIST deep learning, MRI, reconstruction
eunji kim alzheimer's consulting & services Alzheimer's disease
bohyun kim hanyang univerisy imaging genetics
SUNG WON KIM Yonsei University dementia
Sungeun Kim State University of New York, Oswego genetics, multi-omics, neuroimaging
Hyunjin Kim Yonsei University MCI, MVPA, functional connectivity, amygdala
Heeyoung Kim Kosin University Gospel Hospital DTI, Amyloid, Alzheimer's dementia
Woo-Sung Kim Chonbuk National University Deep learning; 3D CNN; Schizophrenia; Clasification
Sungeun Kim State University of New York imaging genetics
Hwiyoung Kim Yonsei University College of Medicine AD prediction with deep learning
Jeonghun Kim Korea University neuroimage
Tae-Sung Kim National Cancer Center Stastical analysis, Deep learning
JEE WOOK KIM Hallym University Dongtan Sacred Heart Hospital subjective memory complaint, , Alzheimer's disease, MCI, cognitive normal
YEO JIN KIM Samsung medical center APOE2, amyloid deposition
Seungjoo Kim samsung medical center MBI
Seong Yoon Kim Asan Medical Center MCI, Cortical thickness, US vs. Korean
Manho Kim Seoul National University Hospital Alzheimer disease, Predict, Progression
Tobias Kind UC Davis Genome Center Machine learning, secondary data analysis
Nicola King Plymouth University Biomarker, biomarkers, serum, blood, urine, Azheimer's Disease
Lisle Kingery CogState neuropsychology
Kaitlin Kinney University of Southern California Neuroimaging, Masters, University of Southern California
Kirsi Kinnunen UCL Institute of Neurology longitudinal, MRI, DTI
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
Biomedical Research Team Kisti Korea Institute of Science and Technology Information Precision medicine, Alzheimer's disease , dementia research
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
Gustav Kjellberg Royal Institute of Technology (KTH) Support Vector Machines Random Forest Naive Bayer Alzheimer's disease
Alison Klein Johns Hopkins School of Medicine Control, Familial Pancreatic Cancer
Gregory Klein Roche clinical trial
Richard Klein Georgetown training
Aaron Kleinman 23andMe parkinsons alzheimers
Bernard Kleynhans Harvard University data science, machine learning
Mitchel Kling University of Pennsylvania School of Medicine Stress, depression, disease biomarkers, disease progression biomarkers
Mitchel Kling Perelman School of Medicine, University of Pennsylvania metabolomics, phospholipids, blood-based biomarkers, metabobype-genotype
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
Hyunwoong Ko Seoul National University Machine learning, Deep learning, Early detection
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
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
Xiangnan Kong Worcester Polytechnic Institute brain network, fMRI
Xiang-Zhen Kong Beijing Normal University replication analysis
Xiaoting Kong Peking University research duplication for a paper accepted by ICML 2017
Xiangzhen Kong Beijing Normal University practice
Filippos Konidaris National Technical University of Athens Machine Learning, Generative Adversarial Networks, Deep Learning
lee konsu sogang deep learning
Ender Konukoglu ETH Zurich method development, machine learning, patio-temporal models
Takahiro Konuma Japan Tobacco Bioinformatics
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
Sergey Korolev Institute for Information Transmission Problems Autoencoder, CNN
Nils Korte UCL Machine Learning Alzheimer's Disease
Vladimir Korzun NTUU KPI -
James Kost Merck & Co., Inc. Parameter Estimates, Cognition
Deydeep Kothapalli University of Southern Calfornia FDG-PET
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
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;
Stephan Krohn Freie Universitaet Berlin fractal dimension; computional image analysis; tissue complexity measures
Frithjof Kruggel UC Irvine DTI
Karthik Sekaran KS Vellore Institute of Technology Machine Learning, Oncology
Changwan Ku ChungAng univ neuroimaging
liqun kuang Arizona State University Network measure, persistent homology, rips filtration, functional connectivity
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
Sue Kulason Johns Hopkins University computational anatomy, longitudinal, ERC
ankita kulkarni MITCOE machine learning, alzheimer's disease
SIDDHESH KULKARNI University of Connecticut, Storrs,USA Sparse Canonical Correlation, High Dimensional Data, Brain Networks
Mukta Kulkarni National Institute of Technology Karnataka CT/dMRI conversion
Devang Kulshreshtha Indian Institute of Technology, Varanasi AD/MCI Diagnosis, deep learning, multimodal machine learning, neuroimaging
Ambar Kumar Dronacharya College Of Engineering Image Steganography, PSNR (Peak signal -to -noise ratio) value, MSE (Mean Squar
B PRAVEEN KUMAR TRUEVOLTS MSE
Ashwani Kumar Jaypee University of Information Technology dementia, alzheimer’s disease, database, Image, Biomarkers
Rishab Kumar Guru nanak Dev University ADNI database to work with CNN
ANIL KUMAR aitam BIO MEDICAL IMAGE PROCESSING
Varun Kumar Indian Institute of Technology Delhi, India fMRI, brain modeling, diagnosis
Ankit Kumar Indian Institute of Technology Patna Alzheimer's disease FMRI
Pranshu Kumar IIT(BHU) mri AD
Kuldeep Kumar Ecole de technologie superieure Co-clustering, dictionary learning, classification
Abhishek Kumar IPR Deep Learning, Data Mining, Software
Dinesh Kumar University of California Davis metabolomics, text mining, machine learning
SAMBATH KUMAR PONDICHERRY UNIVERSITY MRI,fMRI
Pawan Kumar NUS Yong Loo Lin School of Medicine AICD, APP intracellular domain
Pankaj Kumar NIT Patna alzheimer's disease
SANGEETA KUMARI INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY softmax regression, ANN, ICA
Han Kun Harbin Engineering University MRI, Deep Learning, Neural Network
PETER KUNACH McGill University WMH, DWI, FDG
Li-Wei Kuo National Health Research Institutes Graph-theoretical analysis, deep learning
Jacky Kuo University of Texas Health Science Center Houston Continuous-Time markov chain
Phillip Kuo University of Arizona PET, amyloid, software analysis
USHA Kuppe Channappa BMS college of engineering Alzheimer, Mild cognitive impairment ,
P Kurian Howard University tau, neurofibrillary tangle
Kaisar Kushibar UdG structure segmentation
Kichang Kwak McGill University Alzheimer's Disease, prediction model, deep learning
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
Nayeon Kwon SNU alzheimer's disease, MRI, EEG
Young Hye Kwon KAIST language, AD, fMRI
Saewon Kye JLK-Inspection Alzheimer's research
jy l BUPT a123456
Christian La Stanford dynamicFC using rs-fMRI
Claire La Fleur University of Virginia cognitive dedifferentiation, aging, individual differences
Vanessa LaBode Columbia University "Genetics, using ADNI data as a teaching example, Friday Harbor"
Anisio Lacerda CEFET-MG Representation learning, multi-modal data
Meher Lad Newcastle University hippocampus, brain atrophy
Thatcher Ladd IU School of Medicine full genome, blood data
Robert Laforce CHU de Québec - Université Laval Cognitive screening; cognitive charts; MoCA; MMSE
salwa lagdali university mohammed V scientific research
Debomoy Lahiri Indiana University School of Medicine Amyloid, miRNA, non-coding RNA, SNPs, variants
David Lahna OHSU MRI perivascular spaces
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
Javid Lakha Harvard University machine learning
Santhana Lakshmi.A SSN College of Engineering Functional Plasticity,Functional Connectivity,f-MRI,DTI
Alice Lam Masschusetts General Hospital fMRI
Christian Lambert St George's University of London Segmentations; Classification; Vascular Dementia; Parkinson's Disease Dementia
tian lan stanford deep learning
Brian Lananna Washington University in St. Louis YKL-40, neuroinflammation
Jonathan Landa University of Minnesota neural network, training data, test data
Susan Landau UC Berkeley PET FDG ROI
Bennett Landman Vanderbilt labeling, multi-atlas
Elizabeth Lane Florida School of Professional Psychology vascular risk; cognitive aging; biomarker; neuropsychology
Steven Lang University of Miami Miller School of Medicine AD
Catharina Lange Charité - Universitätsmedizin Berlin multi-modal, dementia, MCI
Stephanie Langella UNC-Chapel Hill TOMM40, volume, cognition
Alexandre LANGENIEUX Pixyl CAD segmentation software MRI VBM Normalization
Rosamund Langston University of Dundee cognitive tests, episodic memory, dementia
Steven Lanning Maine Veterans' Service TBI, PTSD, AD, Dementia
Patrick Lao Columbia amyloid, vascular disease, neurodegeneration
Ghada Laribi ENIT Detect, early, alzheimer
Francesco Laruina University of Pisa machine learning,deep learning, PET,MRI,CT,PET-MRI
Lefkovits Laszlo Sapientia Hungarian University of Transylvania MRI, image segmentation, feature selection
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
Andreas Lauritzen Yale University medical image synthesis, deep learning
Anca Lazar University of Medicine and Pharmacy Grigore T. Popa wavelet
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
Stephanos Leandrou European University Cyprus Alzheimer’s disease; Mild Cognitive Impairment; quantitative MRI; temporal lobe;
Mackenzie Leavitt Cleveland Clinic MCI, RSFMRI, ADNI
GY Lee MediWhale registration, brain, deep learning
JUN RO LEE samsung medical center MCI cognitive function
Tien-Wen Lee Lee's General Hospital psychiatry, bipolar disorder, depression, resting state fMRI
Sang-gil Lee Seoul National University deep learning, multimodal data
DongHyuk Lee Korea Advanced Institute of Science & Technology AD,network analysis, amyloid and tau
Popo Lee University of Waterloo Alzheimer’s Disease
MIN-WOO LEE INJE UNIVERSITY MRI data processing
Sangwon Lee Sogang University CNN
qixiang Lee GDUT Machine learning
DASOM LEE Seoul National University MCI, AD, Biomarkers, MCI conversion
Hyunna Lee University of Ulsan College of Medicine deep learning
Seunggeun Lee University of Michigan GWAS, gene-based test, neuroimaging
Yi-Ju Lee TIGP/ Academia Sinica Alzheimer’s disease, neuroimaging, complexity analysis, genetics
Jamie Lee Biomedical Engineering Effective Connectivity,fMRI,DTI.Alzheimer's disease
David Lee University of Wisconsin - Madison Dementia, CNN, machine learning, neuroimaging, neuroscience, health
Suzee Lee UCSF frontotemporal dementia
Erik Lee Massachusetts General Hospital TMS, finite element, brain-scalp distance
Song-Ting Lee National Cheng Kung University Texture analysis,Alzheimer disease,Image processing
Catherine Lee Harvard School of Public Health survival analysis, left truncation, time-dependent covariates, cox model
Gunhee LEE Korea Univ deep learning
Jeonghoon Lee Seoul national university of south Korea Deep learning, Medical Image synthesis, Radiology
Hyekyoung Lee Seoul National University Brain network, persistent homology, hole, module
Jusung Lee Gwangju Institute of Science and Technology (GIST) MRI, segmentation
Dongjin Lee Arizona State University brain image, deep learning
Serin Lee Koh Young Research America image synthesis
Annie Lee National University of Singapore T1, resting-state, age-effects, gender
Ilgu Lee Pactera Alzheimer
Angela Lee NIST Alzheimer disease
Chun Lung Lee CUHK define the progression of Alzheimer’s disease
Eunho Lee korea university AD, PD
Justin Lee Harvard University Machine Learning, Data Analysis
Yunseong Lee Seoul National University machine learning, distributed systems
Dongjin Lee Arizona State University Deep Learning, Dimension Reduction, Alzheimer's Disease
Mi Ri Lee NYU GSAS/NYULMC Dementia, Pregnancy
Wook Lee Department of Computer Science and Engineering, Inha University TBSS, DTI, AD
seonjoo lee columbia university longitudinal data analysis
Zhuoling Lee HUST study
Ho-Joon Lee Severanceh Hospital, Yonsei University College of Medicine Partial correlation, mild cognitive impairment, PIB, florobetavir
Eunjee Lee University of Michigan Reproducibility
Joel Lee VA Medical Ceneter dementia, anterior cingulate cortex, age associated cognitive decline,
Subin Lee Seoul National University atrophy; Alzheimer's disease; MCI
Bumshik Lee Chosun University Alzheimer`s disease
Ashley Leech Tufts University/Sunovion Parkinson's disease, OFF
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
Wang lei neu brain network classification
B. Lei Shenzhen University classification
Hongxing Lei Beijing Institute of Genomics, Chinese Academy of Sciences diagnosis
wang lei China University of Mining and Technology Alzheimer disease;mild cognitive impairment;brain network anlysis;classification
Wang Lei Xi'an Jiaotong University resting state; structural feature
Shi Lei Tsinghua University Image registration, connectivity
Matthew Leming University of Cambridge Deep learning, big data, functional connectivity, volume
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
Kent Leslie Amylyx Pharmaceuticals Biomarkers, CSF, MCP-1, neuroinflammation, synaptic degeneration
Andrea Lessa Benedet McGill University Genetics, using ADNI data as a teaching example, Friday Harbor
Hoi-Chung Leung Stony Brook University Parkinson's disease, Alzheimer's disease, biomarkers
Yuk Yee Leung UPENN biomarker study
Ming-Ying Leung The University of Texas at El Paso bionformatics, computational analysis, genomics, proteomics, imaging data
Yip Sang Leung The University of Hong Kong MRI
Antoine Leuzy Karolinska Institute Tau, amyloid, Alzheimer
gidon levakov Ben Gurion University Deep lerning
Eva Levičnik Faculty of electrical engineering biomarkers AD
Abraham Levine Emerald Logic Mild Cognitive Impairement, Alzheimers, Diagnostic Factors, Disease Progression
Abbie Levinson Bridgewater State University MCI, Depression, NPI, Gender, Dementia
Cen Sing Li Imperial College London Alzheimer's disease, tau, amyloid
Xing Li UQ medical image processing
zhao li wipm wuhan image
Xuzhou Li New York State Psychiatric Institute brain volume
Chao Li huazhong university of science of technology scientific research
Wen Li Merck AD
Xinzhong Li Plymouth University Biomarker, AD, Machine Learning
Wan Li Beijing University of Technology brain networks
Yi-Ju Li Duke University Medical Center Biomarker, genetics association, multi-state method, cognitive decline
CHUNFEI LI Florida International University Alzheimer’s Disease Big Data DREAM Challenge
Xingfeng Li University of Nottingham fmri
peng li Suzhou Institute of Biomedical Engineering and Technology Alzheimer’s disease,Deep Learning,Early Diagnosis
Yingjie Li Michigan State University Predicting, MCI, AD
Gang Li Chang'an University Imaging Genomics
Jialu Li Beijing Institute of Technology distance-based regression
Yan Li University of Minnesota Twin Cities eQTL
Qingqin Li Janssen Research & Development, LLC GWAS WGS
Lin Li Seattle University MCI detection, machine learning
Wenjun Li Medical College of Wisconsin Alzherimer's disease, depression, mild cognitive impairment, biomarkers
Mengting Li Harvard University Course Project
Nannan Li Beihang University synthesize CT
XinDa Li Harbin Engineering University lixinda50288
Jun Li SUZHOU INSTITUTE OF BIOMEDICAL ENGINEERING AND TECHNOLOGY CHINESE ACADEMY OF 123456
jicong li South China University of Technol deep learning
WENYAN LI University of Maryland, College Park Tadpole
Bin Li Microsoft AD classification
JIEQIONG LI Qingdao Municipal Hospital NEURO
XW LI BeiHang University hippocampus
Xuan Li Southeast Univ. MVPA, feature extraction, Alzheimer's disease
Mengmeng Li Zhengzhou University MRI, Texture Analysis, Feature Selection, PLSR, CFS
Ye Li University of Kentucky Multifactor Dimensionality Reduction; Risk Scores; Gene-gene Interactions
Zhenzhen Li Chinese PLA General Hospital AD,Meta Analysis,different frequency
Tengfei Li MD.Anderson Cancer Center neuroimaging, Alzheimer's Disease
Zhongwen Li Boston University Medical Campus glaucoma, alzheimer
Yihan (Jessie) Li Genomics Ltd MudChuk2!
HANGFAN LI GEORGIA INSTITUTE OF TECHNOLOGY Shape Index, Mean curvature, Alzheimer's Disease
Cindy Li harvard extension school Alzheimer
Yeshu Li BUAA flow, multi-atlas, hippocampus, segmentation
Wenbin Li Nanjing University Metric learning
Yi Li NYU school of medicine FDG-PET PIB-PET MRI
Yanming Li University of Michigan neural network, GWAS, conditional graphical model, Alzheimer, MCI
Yafen Li Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. MRI, CT
Zhi Li Northwest University research
Xiangrui Li The Ohio State University sMRI VBM
Feijiang Li Shanxi University machine learning
Rui Li Insititute of Psychology, Chinese Academy of Sciences connectivity, brain dynamics, biomarker
Xiong Li East China Jiaotong University deep learning, data integration
Tianhong Li Tsinguha University white matter, classification
Yang Li University of Rochester fMRI, machine learning, brain network analysis, AD data
ZHUJUN LI GEORGIA STATE UNIVERSITY Image denoising
Jing Li New York University Langone Medical Center diffusion, fiber tracking
YU Li UQ image
Shuyang Li UC Davis partially observed longitudinal process
Chenxi Li Michigan State University structural MRI, fMRI, ICA, survival analysis, high dimensional feature selection
Dongyue Li Tianjin Medical University machine learning
xiaofeng Li the second affiliated hospital of Chongqing Medical University cognitive impairment, brain atrophy, enlargement of ventricle
Yuening Li Texas A&M University Deep Learning; ABIDE; Brain
Jiewei Li HKU fMRI, MCI, AD
Yaqing Li Qingdao University α-synuclein GWAS SNP
Kang Li RenMin university Task control network, dACC, aging
zhengyi li south-central university for nationalities pattern identification
Chao Li Southern Medical University AD, Support vector machine, machine learning
Jialiang Li National University of Singapore high-dimensional data; semiparametric regression
Michelle Li Evergreen Valley HS Alzheimer's, Machine Learning
Jun Li ICT study; alzheimer
Tieqiang Li University College London Topological Data Analysis
Xufeng Li University of Rochester DTI, fMRI, ASL
Yibai Li Carnegie Mellon University student
BINYIN LI Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine Alzheimer's disease, mild cognitive impairment
Fan Li Shanghai Jiao Tong University Cerebral Microbleeds, Alzheimer's disease, Deep learning
Miranda Li University of Queensland Image Processing
Dan Li University of Southern California Alzheimer's disease; joint mixed effects model; Multiple outcomes
yaowei li Harbin Institute of Technology AD classification.
Tina Li University of Arkansas at Little Rock Alzheimer's Disease
Mengjie Li Beijing University of Posts and Telecommunications research
Chunfeng LIAN UNC Chapel Hill image prediction/reconstruction, deep learning
LINA LIAN Sun Yet-sen University PET, 3dCNN
Shengxiang Liang Institute of High Energy Physics, Chinese Academy of Sciences forecast
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
xinyan liang Shanxi Unversity deep learning
Jingjing Liang Case Western Reserve University Alzheimer's disease, multiple network analysis
Shengxiang Liang Zhengzhou University forecast
JINGXI LIANG Peking University deep learning
liangbinbin liang Yanshan University study
Han Liao Virginia Tech AP, machine learning, medical
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
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
Bryan Lim University of Oxford Machine learning, recurrent neural networks, disease trajectories
Yen Ying Lim The University of Melbourne brain derived neurotrophic factor; apolipoprotein E; amyloid; Alzheimers disease
Gyeongback Lim Soongsill university machine learning
Nehemy Lim University of Washington Brain connectivity networks, Voxel-level graphs, High-dimensional regression
Gregoire Limansky ICM - Brain & Spine Institute ADNI tranSMART i2b2
Ivan Limarev Ivan inc. ivan1992
Sangdi Lin Arizona State University Neural networks, Classification
Wuhong Lin Sun Yat-sen University Functional Connectivity, Graph Spetrum
Chien-Tong Lin National Tsing-Hua University Sparse group variable selection, hierarchical LASSO, elastic net
LIN LIN University polytechnic of madrid hippocampal marker
Liyan Lin Southern Medical University Medical image analyse
Qiang Lin China Agriculture University Support Vector Machine,Privacy-Preserving
Honghuang Lin Boston University School of Medicine Genetics; Image; Amyloid; Association;
Ching-Heng Lin National Yang-Ming University medical informatics
Ruby Lin National Central University Alzheimer'shippocampus
JING LIN ZZU Hippocampus
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
Liyan Lin Southern Medical University MR-CT image pairs,academic research
W.M Lin Fuzhou University deep learning
RongJie Lin HuaQiao University Split brain image
Bing Lin CMU wavelet Analysis
Sung-han Lin Chang-Gung University Classification, Alzheimer's disease, Mild cognitive impairment
Jyh-Miin Lin National Taiwan University non-Cartesian reconstruction
Yu-Ru Lin University of Pittsburgh data mining
Ming Lin University of Michigan Subgroup Detection, Trajectory Clustering, MCI
xin lin university of Science and Technology of China image segmentation
xuefeng lin Huazhong University of Science and Technology brain networks;MRI
Emily Lindemer IBM Watson Health PET, MRI, Alzheimer's disease, structural imaging
Stinus Lindgreen H. Lundbeck A/S Genetics, SNPs, bioinformatics
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
Fengwei Liu Beijing institute of technology brain network construction, classification, features
Tingshan Liu Smith College Longitudinal, graph theory, Alzheimer's Disease
Yang Liu JiLin University MRI, brain disease prediction
Xiaozheng Liu Wen Zhou Medical University functional magnetic resonance imaging; Alzheimer’s disease; depression.
Jin Liu Central South University SNP data, MRI, fMRI
I-Hsin Liu National Chiao Tung University Alzheimer's, Gene, Pathogenesis
Weixiang Liu Hangzhou Dianzi University data set
Xiuwen Liu Florida State University Computer Vision, Shape Analysis
Lan Liu University of Minnesota at Twin Cities dimension reduction, interaction, regression
Ping Liu UESTC brain disoder, deep learning, fMRI
Yang Liu General Assembly Data Science
Jiao Liu Massachusetts General Hospital and Harvard Medical School AD,MCI, healthy
ZIHUAN LIU MICHIGAN STATE UNIVERSITY fMRI, high dimensional analysis.
Jia Liu Ludwig-Maximilians-University Posterior cortical atrophy, biomarkers, neuropsychology
Xiangyu Liu Texas Tech Univ FBM,AD
qingqiang liu Hangzhou Dianzi University brain imaging genetics
Keli Liu Genentech TADPOLE
Jundong Liu Ohio University AD, MCI, Shape, Subcoritcal, MRI
Wayne LIU MERIDIGEN BIOTECH CO., LTD BD
Chia-Shang Liu University of Southern California fMRI, connectivity, cognition
Briana Liu USC IGC alzheimer's, inflammation
ning liu Beijing University of Technology multi-modalities High accuracy
Yan Liu University of Nevada, Reno ADNI clinical dataset; survival analysis
zheng liu buaa embedding
Yong Liu Institute of Automation, Chinese Academy of Sciences Brain network, Imaging biomarker
En-Tao Liu Guangdong General Hospital and Guangdong Academy of Medical Sciences Alzheimer's disease;18F-FDG;18F-AV45
Li Liu Arizona State University Biomarker
Min Liu Johns Hopkins University of Medicine lm787878
Xu-Qing Liu Huaiyin Institute of Technology Genotype, Phenotype, Classification
Eulanca Liu UCSD hippocampus
Changan Liu University of Texas Health Science Center at Houston metabolomics, pathway, early diagnosis
lin liu Qufu Normal university human brain connectomes
qingqiang liu Hangzhou Dianzi University brain imagine genetic
Xiaoli Liu Northeastern University prediction
Dan Liu Xi'an Institute of Posts and Telecommunications classification
hao liu tsinghua university deep learning
victor LIU Tsinghua University medical data mining, machine learning
Jiani Liu University of Electronic Science and Technology tensor regression, tensor train, low rank regression
Wenjie Liu Harbin Engineering University imaging genetics
Chien-Liang Liu National Chiao Tung University Alzheimer’s Disease, Convolutional Neural Networks, Prediction
Yuelu Liu University of California, Davis convolutional neural networks, Alzheimer's disease, mild cognitive impairment
Hao Chen Liu China Pharmaceutical University disease progression model metabolic networks
Minyue Liu Carnegie Mellon University gene fMRI graphical models
Chin-Fu Liu Johns Hopkins University subcortical
Yang Liu Hong Kong Baptist University multi-modal data, feature extraction, supervised learning
Mengmeng Liu UCSF AD, PET
Guangdi Liu Southwest University omics;PET;MRI;deep learning
ke liu Beijing Normal University 123456789
LiuYingying LiuYingying JiangNan university 520611liu
LIUYU LIUYU SICHUAN UNIVERSITY researching AD disease
Yang Liwu Beihang University statistical methods
Gabriel Lizarraga Florida International University svm, signal processing
JEROME LLIDO INSERM Magnetic resonance imaging, Alzheimer disease, Mild cognitive impairment
Lara Lloret Iglesias Insituto de Fisica de Cantabria brain, deep learning, application, machine learning, classification
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
Talakad Lohith Merck & Co., AV-1451, Florbetapir
Kelly Lohr Brigham and Womens Hospital Alzheimer's disease, aging,
Kashif Javed Lone University of Azad Jammu and Kashmir machine learning, dimentionality reduction, AD, ensemble methods
Rodney Long National Library of Medicine/NIH fMRI, deep learning, connectivity, chronectrome
ziyi long Dongzhimeng Hospital MRI prognosis
Zhiliang Long Southwest University multimodal; network; late life depression; aging
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
Walter Hugo Lopez Pinaya Universidade Federal do ABC Machine Learning
Vanesa López Vázquez UPV/EHU University of the Basque Country Deep learning, brain imaging
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
Qing Lu Michigan State University non-parametric method; functional data analysis
Hangquan Lu Xiamen University AD,MCI,MRI,PET,Deep learning
Zhaohua Lu St. Jude Children's Research Hospital GWAS, high-dimensional data analysis, longitudinal data analysis
Qiongshi Lu University of Wisconsin-Madison Genetics, using ADNI data as a teaching example, Friday Harbor
Pascal LU Brain and Spine Institute Genomics, Neuroimaging, machine learning
Yuheng Lu Institute of Aotumation, Chinese Academy of Sciences Brainnet, deep learning,AD
Meizhu Lu National Engineering Research Center for Broadband Networks & Applications Summercool001
Patty Lu N/A deep learning machine analytics
Bin Lu Institute of Psychology, CAS machine learning
Jiaming Lu Affiliated Drum Tower Hospital of Nanjing University Medical School maching learning; AD
Bo Lu Harvard University GWAS
Bo Lu Harvard University gene SNPS drug interaction
Chuan Lu Aberystwyth University Data integration, Bayesian, deep learning, brain diseases
LYUJIAN LU Colorado School of Mines alzheimer's disease
Chia-Feng Lu Taipei Medical University radiogenomics, image biomarkers, early diagnosis, prognosis
Shen Lu University of Sydney dementia, FDG-PET, kernel learning machine
Gabriela Lucas Universidade Federal de Pernambuco diagnostico
Ludovico Luchetti University of Siena Learn Hippocampus Volumetry
Lucas Lukasiak Precision Data Labs tadpole artificial intelligence prediction
Veronika Lunina Knut Wicksell Centre for Financial Studies Longitudinal Evolution, TADPOLE
peggy luo cuhk mri
suhuai luo The University of Newcastle Alzheimer’s disease, dementia assessment, machine learning
weidong Luo Cortechs labs inc. AD
Yushuang Luo Penn State University parameter estimation, disease disgnostics
Xiao Luo Zhejiang University, China fMRI/Mild Cognitive Impairment/Behavior data/Cognition
Sheng Luo The University of Texas at Houston Longitudinal data; item response theory; Bayesian; MCMC
Wei Luo South China Agricultural University feature learning, image classification
Qiang Luo Fudan University multivariat analysis, prediction
liao luo Nankai university deep learning
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
duan luwen USTC registration
Juan Lyu Harbin Engineering University Restrict Beltzmann Machine Alzheimer's disease
Ramya M Jerusalem college of Engineering Neurodegenaritive Disease
Andrew M University of Arizona neuroimaging, dementia, MCI, aging, cognition, genetics
SRIVANI M ANNA UNIVERSITY COGNITIVE COMPUTING
Ghokul M IIT Madras Brain CT and MRI data
Latha M Vels University Segementation
Dinesh M.S. Philips India Limited Image Quality
li ma PanoTech Inc. image retrieval
Xiangyu Ma CCMU Aging, Neurodegenerative Diseases, MRI
Qianli Ma Nanjing University of Posts and Telecommunications nonlinearity; complexity; phase synchronization
Jin Ma Pingan Tech deep learning, CNN, Alzheimer’s Disease
tianyu ma Tsinghua University image reconstruction, joint reconstruction, kinetic modeling, multicenter study
Chao Ma Guilin University Of Electronic Technology MRI;PET;muti-mode
Xiaozhou Ma XtalPi AD, CAD
Yiyuan Ma BUPT Mayy
Xi Ma KUL visualization
fengling ma University of shanghai for science technology brain network;ALzheimer's disease
David Ma University of Kentucky classifiers, longitudinal analysis, progression
zhe ma Catpital Medical University VBM
mingyuan ma pku brain connectivity
Sasi Maarika Sathyabama University haploblock vcf file
Christine Mac Donald University of Washington Imaging, Psychometrics
Daniel MacArthur Broad Institute genome, aggregation, database
Paul Macey UCLA sleep; autonomic; limbic
Magdalena Machnicka University of Warsaw regulatory variants, early-onset Alzheimers disease
Mahboubeh Madadi Louisiana Tech University Classification, Clustering
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 Madhyast