Ongoing Investigations

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

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Search for projects using the investigator's name, institution, or keywords
Investigator Institution Keywords
Hariharan A Jerusalem college of engineering MRI, automatic detection, AD
Anupa A Vijayakumari SCTIMST fMRI, DTI, Azheimer's
John Aballi Molecular Stethoscope cfRNA
abd elazeim abd alla mohamed nour south east university MRI,AD,MCI
Mohammed ABDELAZIZ The Center for Development of Advanced Technologies (CDTA) MRI, Brain Tumor, classification
AmirHussein Abdolalizadeh Student's Scientific Research Center MRI, Imaging Genetics, Alzheimer's Disease, PTSD, Graph Theory, PET
Siti Aishah Abdul Aziz UPM etty2005
Nidhal Abdulaziz UOWD SVM, Machine learning, Feature Extraction
Ahmed Abdulkadir University of Freiburg classification, machine learning
Sachal Abdullah Forman Christian College (A Chartered University), Lahore Deep Learning , artificial neural nets , EMCI , LMCI
Osama Abdullah University of Utah DTI, DSI
Nourhan Abouzahra Wright State University Alzheimer Imaging MRI
Noriaki Adachi MSD. K.K. (Japan Branch of Merck) threshold
Christopher Adamson Murdoch Childrens Research Institute corpus callosum, cortical thickness, logitudinal
Viraj Adduru Rochester Institute of Technology Brain volumes, CT, MRI, validation
Viraj Adduru Rochester Institute of Technology volume, segmentation, 3d modeling
Tameem Adel University of Amsterdam MRI Classification, Unsupervised Feature Learning.
Karim ADERGHAL Faculty of sciences MRI, DTI, Deep learning
Benjamin Ades-Aron New York University Langone Medical Center NPH, Hydrocephalus
Paul Adlard The Florey Institute for Neuroscience and Mental Health Zinc, cognition, ageing, Alzheimer's disease
Ahmed Afifi Faculty of Computers and Information CAD
SRINIVASA AG UVCE IMPLIMENTATION OF AD
Ayush Agarwal Indraprastha Institute of Information Technology, Delhi mri, structural mri, segmentation
Anchit Agarwal Arizona State University machine learning, neural nets, deep learning, medical science
Cinthya Aguero MGH Department of Radiology Alzheimer
Pablo Aguiar University of Santiago de Compostela Brain, PET, Alzheimer
Jamila Ahdidan Aarhus University AD, hippocampus, prediction
Rziwan Ahmad UMT Alzehimer's Disease Detection
Fayyaz Ahmad UOG fmri, SPM, ANN
Hessam Ahmadi Islamic Azad University fmri, graph theory, alzheimer
Nisar Ahmed University of Engineering and Technology Lahore, Pakistan alzheimer's, dementia, machine learning
farid AHMED SID Orleans university FA, tarctography, diffusion MRI, DT model, multi-tensor model
Edward Ai Shanghai Jiaotong University Medical image segmentation
Qing Ai University of Science and Technology Liaoning AD
benyahia aicha electronique AD
Sheikh Waqas Akhtar College of EME, National University of Sciences and Technology machine learning, classification
Zeynettin Akkus Mayo Clinic MRI
Hamid Akramifard Tabriz University classification, MRI PET, image processing.
Said Aktas F.Hoffmann-La Roche Ltd. Biomarkers, Genetics
Safa al rubaye uthscsa Alzheimer's
Ali Al-Nuaimi Plymouth University brain disorder
BahaaEddin AlAila University of Georgia deep learning, image regression, temporal prediction
Fadhl Alakwaa Henry Ford Hospital System Imaging genetic
Saruar Alam Chosun University Classification MRI Image and Gene sequence of AD Patients
Syed Farhan Alam Zaidi Comsats Institute of Information Technology AD, Alzhimer
wiener alan Beihang University 7731242f
Mukhtar Alansari king Abdulaziz University AD , classification , CAD
Ebrahim Alareqi Jackson State university AD, Social Determininates
Ane Alberdi Mondragon Unibertsitatea AD, biomarkers
Mohammad Albsoul University of Petra Image Processing, Machine Learnining, Artificial Neural Network
Thomas Alderson Ulster University thalamo-cortical modelling DTI
Hassan Aleem Georgetown University VBM
Aishwarya Alex University of Luxembourg Alzheimer’s Disease Big Data DREAM Challenge #1
Jacob Alexander University of Pennsylvania Hospital Data management
Panagiotis Alexopoulos Department of Psychiatry and Psychotherapy MCI, prognosis, dementia due to AD
Jessica Alfoldi Broad Institute of MIT and Harvard gnomAD, ExAC, data aggregation
hichem algeiar nanjing univeristy fmri AD
Ayesha Ali University of Guelph Weighted Graph, Group Lasso, Prediction
shirin alimoradian science and research branch islamic azad university I want analysis ADNI for master thesis.
Paul Aljabar King's College London Machine-learning, biomarkers
Hasan Aljabbouli New Jersey City University data mining autism
Almir Aljovic International Burch University Artificial Neural Networks, Analysis, Alzheimer
Genevera Allen Rice University data mining; statistics
Brian Allen University of Wisconsin - Madison DTI, white matter, tractography, alzheimers, MCI
Frankis Almaguel Wake Forest Baptist Medical Center Molecular Imaging
Hannes Almgren Ghent University Effective connectivity, structural connectivity, cognition
Carmen Alonso Montes BCAM - Basque Center for Applied Mathematics machine learning, image processing, data mining
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,
tooba Altaf UET Taxila Alzheimer’s disease
Marie Altendahl University of California, San Francisco Empathy, Theory of Mind, Dementia
Andre Altmann University Collage London Imaging Genetics, Next Generation Sequencing
Ashkan Alvand Islamic Azad University of iran ,garmsar branch alzheimer,fmri,graph theory
Manoel Alves Filho Federal Institute of Education and Science of Paraiba Alzheimer, SPECT, PET, comparison
Raid Alzubi Uni of the West of Scotland Complex diseases, SNP selection, Machine learning,
Robert Amaral Douglas Mental Health University Institute hippocampus, white matter, Alzheimer's disease
Mythri Ambatipudi Saint Francis High School Machine Learning
Inge Amlien University of Oslo MRI, multisample
Nicola Amoroso Bari University (Italy) Complex manifolds, Classification, Segmentation, Hippocampus
Athanasios Anastasiou Swansea University Electronic Health Records, Data Modeling
Gholamreza Anbarjafari University of Tartu Alzheimer disease, statistical analysis, deep learning, super resolution
Wes Anderson Eli Lilly and Company Alzheimer's pre-clnical research
Jeff Anderson University of Utah MRI, MCI
Loretta Anderson Johns Hopkins School of Public Health Alzheimer's Disease; Disease Progression; MCI; Biostatistics
Valerie Anderson Oregon Health & Science University 18F-AV-45 PET; DCE-MRI; blood CSF barrier
Jovan Andonov ETH Zurich machine learning, predicting age from mri
K Abigail Andrews University College London PET, MRI, CSF, asymptomatic AD, biomarkers
Cameron Andrews University of Sydney Machine Learning
Ganna Androsova University of Luxembourg AIBS, WGCNA, ADNI, fMRI
Michel Angeles Uni Stuttgart Deep Learning, RFNNs.
aziz anne-laure hospital purpan brain
Ghulam Jillani Ansari Comsats Institute of Information Technology deep learning, medical imaging, fMRI, dMRI, CT
Sharaf Ansari University of Waterloo Alzheimer's disease
Kaarin Anstey Australian National University Alzheimer's disease, genetics, epistasis
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
abazar arab K.N.Toosi AD detection functional fmri
Miguel Ángel Araque Caballero Klinikum der Universität München MRI, PET, DTI, APOE, amyloid-beta
Pablo Arbelaez Universidad de los Andes classification
Kellie Archer The Ohio State University ordinal response; discrete response; high-dimensional data; penalized methods
(Michael) Colin Ard University of California, San Diego cerebrospinal fluid
Babak Ardekani Nathan Kline Institute MRI; Corpus callosum; shape analysis;
Eleni Aretouli University of Deusto intraindividual variability
Konstantinos Arfanakis Illinois Institute of Technology diffusion, DTI, registration
Ivan Arisi Fondazione EBRI “Rita Levi-Montalcini” Alzheimer, dementia, prediction, Decision Support System
Steven Armentrout Parabon Computation MDR, epistatis, cloud computing
Steven Arnold Massachusetts General Hospital insulin, cholesterol, hypertension, hippocampal atrophy, amyloid, tau, leptin
Steven Arnold University of Pennsylvania cerebral reserve
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
Emilio Artacho-Perula University of Castilla-La Mancha Alzheimer, Euclidean distances, MRI
Christoph Arthofer University of Nottingham MR brain segmentation
Srinivasan Aruchamy CSIR-Central Mechanical Engineering Research Institute Image Processing using DSP board
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
Kathleen Askland Butler Hospital/School of Medicine, Brown University analytic methods, machine learning, genetics
Per Aslaksen University of Tromsø Alzheimer, freesurfer, tDCS
Eric Aslakson Poiema, LLC adni transmart
Toshihiko Aso Kyoto University Graduate School of Medicine BOLD signal, cerebral blood flow, venous drainage
Michele Astphan Rhode Island Hospital request
Dimitrios Ataloglou Aristotle Univercity of Thessaloniki hippocampus segmentation, convolutional neural networks
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Argus Athanas UCSD GWAS, Glaucoma, Controls
Roozbeh Atri Florida International University MRI Alzaimer process
April Au University of Toronto estrogen, sex differences
Maike Aurich Université du Luxembourg Metabolic modeling, metabolomic data
brian avants Biogen brain, thickness, ANTs, conversion, amyloid
suyash awate IIT Bombay segmentation evaluation
Aymen Ayaz National University of Science & Technology, Islamabad Pakistan classifier, automatic, MRI, early, diagonosis, Alzheimer
Yesim AYDIN SON Middle East technical University Data mining, Hybrid Methods, SVM-ID3
Dogu Baran Aydogan INI / USC T2, hippocampus
Murat Ayhan Isik University predictive modeling; Bayesian classification; deep learning
Scott Ayton University of Melbourne CSF amyloid b, tau, heart rate, blood pressure
Helia Azima Ryerson University DREAM challenge
Mohd Hafrizal Azmi Universiti Putra Malaysia PET/CT, AD classification
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Kevin Bach IUPUI Neuroscience
alexandra badea Duke CIVM mri, imaging, analysis
Asim Bag UAB hippocampus
Shweta Bagewadi Fraunhofer Institue SCAI CO-expression analysis
Xiangqi Bai AMSS, CAS bxq1045043020
Zilong Bai University of California Davis spatiotemporal, network discovery
Haoli Bai UESTC classification
Geoffrey Baird University of Washington, Seattle Biomarkers
Zhang Baiwen Beijing University of Technology AD,MCI,classification,big data mining
John Baker Janssen R&D Diagonsis, Progression, Biomarkers
Elizabeth Baker King's College London AD progression, rate of cognitive decline
Arnold Bakker Johns Hopkins University Entorhinal Cortex
Erika Ball Duke University "Quantile Regression" "Statistical Modeling" "Hippocampal Atrophy"
Miguel Ángel Ballén Galindo National University Of Colombia IMR DataBase Alzheimer´s Trastorn Investigation Software Mathematics
Sresha Banerjee University of Warwick Iron Storage, Alzheimer's disease, image analysis
Ki Hun Bang Yonsei Univ What do you mean the Keywords?
Katherine Bangen University of California, San Diego vascular risk, cerebral blood flow, amyloid
Sarah Banks Cleveland Clinic CSF neuropsychology
Leonie Banning Maastricht University Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Dhruv Bansal IIT Ropar Alzheimer's Detection and Classification
wan yun Bao National taiwan university using statistical model to classify MRI pattern
Rita Barakat University of Southern California Stroke, TBI, brain injury, neurodegeneration, therapy
Eduardo Barbará Universidad Autónoma Metropolitana (UAM) image processing data analize
Philip Barber University of Calgary stroke; TIA; brain atrophy; dementia
Robert Barber University of North Texas Health Science Center Alzheimer's disease genetics
Alan Barber Accendero Software, Inc. Open source software, data visualization
Jennifer Barredo Brown University/VHA PTSD, depression, TBI, fMRI
Matthew Barrett University of Virginia School of Medicine Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
Barsam Barsamian Loma Linda School of Medicine MRI, DTI, NODDI, Alzheimers, AD
Andrey Barsky University of Nottingham brain extraction, segmentation, reliability
Fabian Bartel VU University Medical Center hippocampus segmentation, harmonized hippocampus segmentation protocol
Jakub Bartoszewicz Adam Mickiewicz University vGWAS, SNP, genome, brain structure, neuroinformatics, genomics
David Bartram-Shaw AIMIA kaggle
Caroline Barwood University of Nottingham Alzheimer's
Silvia Basaia Ospedale San Raffaele Alzheimer's disease
Suryakanth Basavaraj BMSITM MRI,PET
Arshitha Basavaraj National Institute of Technology, Karnataka,Surathkal volume of grey matter and hippocampal region, MRI, fMRI, default net.,algorithm
Ahmed Basiouny alexandrie university brain cancer,mri
BHUVANESHWARI BASKARAN SSN COLLEGE OF ENGINEERING MEDICAL IMAGE PROCESSING
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Veeky Baths Birla Institute of Technology & Sciences, K. K. Birla Goa Campus Cognitive diseases, Computational Neurosciences
Deepti Bathula Indian Institute of Technology Ropar Longitudinal Analysis Algorithms
Nematollah (Kayhan) Batmanghelich MIT Biomarker, Pattern Recognition, MCI
Corinna Bauer Boston University School of Medicine T2 algorithms, MRI manufacturer
Roman Bauer Newcastle University computational neuroscience
Peter Bayley VA Palo Alto Health Care System, CYP191A, hippocampus, apoe4, neuropsychology
Yakoub Bazi King Saud University machine learning, artificial inteligence
Thomas Beach Banner Sun Health Research Institute gender; sex; Alzheimer's disease; atrophy; cortex; cerebrum; hippocampus
Kristin Beaudoin American University Alzheimer's, DNA data, sample
Christian Beaulieu University of Alberta DTI, ExploreDTI, tract-specific analysis, registration, MATLAB
Cassiano Becker University of Pennsylvania networks, spreading processes, compartmental models, alzheimer's disease
Katherine Becker Colorado State University Teaching, undergraduate course, cognitive neuroscience, imaging
Laurel Beckett UC Davis Biostatistics
Alun Bedding AstraZeneca Longitudinal disease progression
Simone Beer Forschungszentrum Juelich quantitative PET
Mirza Faisal Beg Simon Fraser University MR, LDDMM, segmentation, registration, statistical shape analysis
Mirza Faisal Beg Simon Fraser University shape analysis, longitudinal, registration, computational anatomy
Qumars Behfar Cologne University hospital Connectome
Hamed Behjat Science & Art University Alzheimer's Disease, Classification/Prediction, MRI
Hamid Behjat Lund University shape analysis, topological similarity, classification, early diagnosis
Sam Behseta California State University, Fullerton Bayesian modeling, SNPs, population models
Lynn Bekris Cleveland Clinic Lerner Research Institute apoe, tomm40
Mahanand Belathur Suresh Sri Jayachamarajendra College of Engineering AD,MCI
Shane Bemiller IUPUI Inflammation, Alzheimer's Disease, Aging, TBI
Kaoutar BEN AHMED university of south florida mri, image processing, AD
olfa ben ahmed National Engineering School of Sfax image indexing, AD detection
Fayçal Ben Bouallègue Montpellier University Hospital amyloid PET, quantification, texture, morphology
Michael Benedikt Oxford University data integration
Jared Benge Baylor Scott and White Health Cognition, memory, psychometrics
Andreana Benitez Medical University of South Carolina MoCA, Item Response Theory
Marianne Benn Copenhagen University Hospital LDL cholesterol
El Mehdi Benyoussef FSAC Deep Learning, CNN, BET, Alzheimer, IRM Analysis
David Bergeron Université Laval MMSE, MoCA, conversion, screening
Elaine Bermudez Nathan Klein Institute corpus callosum hippocampus
Richard Betzel University of Pennsylvania complex networks, control theory, neurodegeneration
Mauritz Bezuidenhoudt Novartis Composite endpoint
Nikhil Bhagwat University of Toronto Machine Learning, Biomarkers, Classification
shailesh bhalerao G.H.Raisoni College of Engineering, Nagpur imaging disease biomarker development
Anindya Bhandari Indian Institute of Technology, Kharagpur SNP, Alzheimer's, trends
Radhika Bhati BMS College of Engineering Alzheimers datasets machine learning research computer science
Priya Bhatt University of Southern California genetics, gwas, pwas, parkinsons, alzhiemer's disease
Debotosh Bhattacharjee JADAVPUR UNIVERSITY Clustering, Neural Network, Machine Learning
Sudeepa Bhattacharyya University of Arkansas for Medical Sciences Metabolomics, Bioinformatics, Omics, Statistics
Jinbo Bi University of Connecticut Machine learning; Deep learning; Heritable component analysis;
Rui Bi Chinese Academy of Sciences, Kunming Institute of Zoology Neuroimaging Genetics
Harvy Bi Biomedical and Information Engineering PET image data
Alberto Biancardi The University of Sheffield biomarkers, performance comparison
Rene Bidart Waterloo CNN
Murat Bilgel National Institute on Aging FDG, amyloid, DTI, MRI, atrophy, longitudinal
Franciszek Binczyk Politechnika Śląska machine learning, Gaussian mixture model, bi-clustering
Huang Bingsheng Shenzhen University MRI AD Auxiliary diagnosis Classification
Christopher Bird Cleveland Clinic freesurfer, machine learning
Gérard Bischof University Hopsital Cologne Alzheimer's disease, resting state, fMRI
Ram Bishnoi Medical College of Georgia dementia, latent variables, neuroimaging
David Bjelke The Feinstein Institute for Medical Research CMRglu, ROI
Sandra Black Sunnybrook Research Institute MRI Volumetry, Alzheimer disease progression
Jennifer Blackwood University of Michigan-Flint MCI, neurological exam, vital signs
Elise Blaese IBM Research NIA GCAD Watson
James Blair University of Virginia Cognitive Impairment, Structure, T1
Gilles Blanchard University of Potsdam Data analysis, Statistics, Machine learning, patient adaptive prediction
Laura Blanco Martínez Universidad Carlos III Signal, Fmri, AD
Laura Blanco Martínez Universidad Carlos III FMRI, AD
Tyler Blazey Washington University School of Medicine FDG
Toby Bloom New York Genome Center Alzheimers Disease, centenarians, Ashkenazi
Jenna Blujus UWM Alzheimer's disease
Jan Krzysztof Blusztajn Boston University School of Medicine CSF, plasma, biomarkers
wu bo Beihang University image retrieval
jun bo Northeastern University Alzheimer classification
Ravi Boda Osmania University MRI segmentation, Bias field estimation
Ronald Boellaard University Medical Center Groningen Image methodology, quantification, processing, classification
Piotr Bogorodzki Warsaw University of Technology LDA, SVM, freesurfer, VBM
Arun Bokde Trinity College Dublin MRI, grey matter, volumetric, hippocampus
Borna Bonakdarpour Northwestern University Resting state fMRI, language network
Matthew Bonazzoli Macalester College Alzheimer's Disease, Machine Learning, Aging
Alexandre Bône ICM (Brain and Spine Institute) statistical learning, longitudinal data sets, classification, prediction
Jennifer Borkowsky Genentech biomarkers
Danielle Borrajo University of Southern California neuroimaging, genetics
Rebekah Borse Merck health economic, disease progression, alzheimer's disease
Isabelle Bos Maastricht University Amyloid based cognitive norms
Nicholas Bott University of California San Francisco cognitive aging; structural imaging; inflammation
Renato Botter Maio Lopes Rodrigues UNICAMP machine learning
haralabos bougias university hospital dti
Thomas Boulier INSERM tauopathy, mathematics, numerical simulation
Fatima Boumghar INSERM FMRI, DTI, ASL, Genes, Gene Expression
Pierrick Bourgeat CSIRO ICT Centre Segmentation, registration, longitudinal study
Samira Bouyagoub NHS national health service UK CJD; DEMENTIA, SCJD
Mike Bowes Imorphics Ltd automatic identification measurement sub-cortical
Richard Boyes Renishaw PLC segmentation, surgical planning
Andrea Bozoki Michigan State University FDG-PET; PIB-PET; Alzheimer's disease
Tyler Bradshaw University of Wisconsin attenuation correction
Joana Braga Pereira Karolinska Institute CSF, MRI
yoann brahami ariel university HarP 135 final release
Simona Maria Brambati Institut universitaire de gériatrie de Montréal VBM, Gray matter, Structural covariance
Nadia Brancati National Research Council, Italy image retrieval
Jose Bras UCL, Institute of Neurology Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie UCLA connectivity, APOE, clusterin, cardiovascular
Ralph Brecheisen Maastricht University Cloud computing, machine learning, Alzheimer
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
Benjamin Brinkmann Mayo Clinic epilepsy, PET, MRI
Markus Britschgi Roche new bioinformatic tools, correlating pathology with plasma proteins
Thomas Broers Leiden University Feature extraction, SVM, classification, neuroimaging data
Esther Bron Erasmus MC Classification
Jared Brosch Indiana University Imaging, Alzheimer's, Risk factors
Jesse Brown University of California San Francisco hippocampus
Abel Brown NVIDIA machine learning, deep learning
Matthew Brown University of Alberta machine learning, diagnosis, prognosis, biomarkers
Maria Brown Murray State University cognitive reserve, MCI, linguistic background
James Brunberg UC Davis Alzheimer disease, Huntington disease, fragile x premutation syndrome
Giovanna Bubbico ITAB, Institute for Advanced Biomedical Technologies DTI bilingualism normal aging
Peter Bubenik University of Florida topological data analysis
OMONIGHO BUBU UNIVERSITY OF SOUTH FLORIDA sleep deprivation, Alzheimer's Disease, beta-amyloid
Daniel Buchanan Briar Woods High School Alzheimer's disease, data, machine learning, prediction, bioinformatics
Hans-Georg Buchholz University Medical Center NEUROSTAT, SPM12
Bradley Buchsbaum Baycrest Centre for Geriatric Care fMRI PET correlation
Katharina Buck Roche Diagnostics Elecsys CSF Measurements
Charley Budgeon University Of Western Australia Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Derek Buhl Pfizer Alzheimer's
Manuel Buitrago Sánchez Universidad de Sevilla ImageJ PER
Saurabh Bundela Independent Research computational biology, bioinformatics
Saurabh Bundela Abbvie computational biology, biomarkers, statistics, bioinformatics
Ninon Burgos University College London PET synthesis
Shanna Burke Florida International University Alzheimer's disease, neurodegfeneration, amyloid
Katherine Burn University of Melbourne cognition; inflammation; amyloid
Gully Burns USC ISI Knowledge Engineering, Semantic web, Information Integration.
Jeffrey Burns University of Kansas School of Medicine body mass index, diabetes, hippocampal atrophy, whole brain atrophy
Tomasz Burzykowski Center for Statistics biomarker, Alzheimer's disease, biostatistcs
Sammie Bush University of Calgary Alzheimer's
Bradley Butcher University of Sussex Deep Learning Alzheimer
Justin Buthorn Memorial Sloan Kettering Cancer Center Alzheimer's disease; Brain Tumor
Victoria Butt University College London machine learning alzheimers classification normal ageing
Joseph Buxbaum Mount Sinai School of Medicine integrated-network-analysis
sandeep c s COLLEGE OF ENGINEERING, TRIVANDRUM mri, pet
winda cahyaningrum UB Brain Tumor
Suping Cai Xidian University MRI , DTI
erik cai wenzhou university multimodal neuroimaging
Wilson Cai UC Berkeley Functional connectivity, statistical learning
Zhen-nao Cai northwester polytechnical university machine learing, data mining
Tomas Cajka University of California, Davis LC-MS, lipidomics
Maria Eugenia Caligiuri Università "Magna Graecia" di Catanzaro neuroimaging, digital image processing
Christopher Calixte Duke University Alzheimer's early detection cognitive impairment
Frederic Calon Universite Laval Alzheimer
Briana Cameron Yale University composite measure, sensitive, early AD
Roy Campbell University of Illinois at Urbana-Champaign cohort identification, genotype-phenotype correlation
Roy Campbell UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN cohort identification, genotype-phenotype correlation
JOSE ANTONIO CAMPOS LOPEZ Universidad Politecnica de Madrid hippocampal atrophy alzheimer
Peng Cao Northeastern University classification, multi-task learning, group lasso
Jiguo Cao Simon Fraser University brain network, QTL mapping
Hongyuan Cao University of Missouri-Columbia Image, genetics
Guanqun Cao Auburn University functional data, ADNI
Bo Cao University of Texas Health Science Center at Houston Machine learning
Aristides Capizzano University of Iowa Hospitals & Clinics longitudinal MRI, neurodegeneration, phylogeny
DANIEL CAPON BLOOD SYSTEMS RESEARCH INSTITUTE protein engineering, antibodies, amyloid beta, biomarker
Jeremy Carmasin Massachusetts General Hospital PIB FDG AD MCI
Owen Carmichael UC Davis cortical thickness
Sarah Carr Case Western Reserve University amyloid, POSET
Jason Carrier carrier diagnostics AI learning
Antonio Carrillo Moreno University of Granada, Spain diagnosis, mri, pet, alzheimer, mci, ia
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
Janessa Carvalho Brown University Friday Harbor
Luis Carvalho Boston University imaging genetics, gwas, latent genotype, spatial genomic models
carolina carvalho UFF AD MCI NC
Jodi Casabianca University of Texas - Austin ratings; diagnosis; statistical modeling
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
Josep R. Casas UPC. Universitat Politècnica de Catalunya. BarcelonaTech 3D segmentation, morphological filters, watershed
David Cash University College London familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Pete Castelluccio Eli Lilly and Company alzheimer
Isabella Castiglioni National Reserach Council AD, MCI, image classification, diagnosis, MRI, PET
Carrie Caswell University of Pennsylvania joint modeling, left truncation, longitudinal, time-to-event
Liam Cattell Oxford University Registration
Franco Cauda University of Turin damage network, Bayesian statistic, Alzheimer’s Disease
Ileana Cepeda Kansas State University Analyzing Data
Alper Çevik Middle East Technical University Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Jae Yong Cha USC Polygenicity, Alzheimer's Disease, SNP
Ahmad chaddad Ecole de technologie superieure T1, FLAIR, FA
Shreya Chakrabarti Indiana University School of Medicine imaging, genetics, biomarkers
Nithin Chalapathi West High School Deep Neural Network, High School Science Fair
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Ganesh Chand Emory University healthy control, MCI and AD
Catie Chang National Institutes of Health resting-state fMRI, spontaneous activity, dynamics
Liu Chang Chengdu University Super resolution reconstruction
RUI CHANG Icahn School of Medicine at Mount Sinai NY Systems biology
XIAOJUN CHANG Carnegie Mellon University Disease Progression
ki jung chang ajou university school of medicine late life depression, dementia, MCI, conversion
Yu-Chuan Chang National Taiwan University Alzheimer, Data Mining
Che-Wei Chang National Taiwan University machine learning, MRI, DTI, rs-fMRI
Steeve Chantrel Olea brain segmentation
Justin Chao The University of Texas at Austin databases
Linda Chao UCSF PIB, MCI, cognition
Marianne Chapleau Centre de recherche de l'institut universitaire de gériatrie de Montréal HarP
Arnaud Charil Eli Lilly and Company MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Sambit Chatterjee BITS Pilani, Hyderabad Campus gwas, gpu, elastic map reduce, paralleization
Pratishtha Chatterjee Macquarie University plasma ferritin, serum ferritin, iron, brain amylid load
Ankita Chatterjee Monta Vista High School gyrification index
Zainab Chaudhry FAST-NU AD
Harmanpreet Chauhan CSU Fullerton Training
Abdallah Chehade University of Wisconsin-Madison data fusion
omkar chekuri university of oklahoma ANAYYZE, AFNI
Kseniia Cheloshkina The Higher School of Economics machine learning, artidicial neural net, deep learning
Kewei Chen Banner Alzheimer Institute PET SPM image-derived input function,
Jiayu Chen Chongqing University of Technology Data Mining
Evan Chen Shanghai Jiao Tong University MCI, MRI data
Yin Jie Chen University of Pennsylvania Perelman School of Medicine Alzheimer's disease, multimodality, longitudinal
Shuzhong Chen Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences MRI
Xi Chen UT Arlington 3D brain image registration
Gennan Chen Synarc Segmentation
Tzu-Chieh Chen UC Berkeley MRI, machine learning
Guanhua Chen University of North Carolina at Chapel Hill Classification, latent subclass
Fang Chen jackson state university image deep learning Alzheimer's
Ying-Hsiang Chen Bioinfotronics Research Center Intelligent, cloud computing, infrastructure
Ting Chen DaLian University of Technology study
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Jean Chen Baycrest diffusion, cortical thickness
Hsu-Hsin Chen Genentech Alzheimer's Disease
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
Ing-jou Chen Chang Gung University AV-45, PET, AD, PCA, SVM
Hugo Chen National Yunlin University machine learning
SY Chen Emory University Classification
Guojun Chen NWNU PATTEN
Rong Chen Icahn School of Medicine at Mount Sinai protective allele, Alzheimer's disease
Xing Chen Pfizer genetics
yuhan CHEN Hong Kong Baptist University model; atrophy regions
Xiaoming Chen Carnegie Mellon University compressed sensing
Ting-Huei Chen Laval University structural equation modeling
bo chen Fudan University neural network,complexity
chenbingyao chen china registration, compare of registration methods, evaluate
Gang Chen Medical College of Wisconsin fMRI, MRI
Xu Chen University of Manchester CSF MRI software mathematical model
Hewei Cheng School of Informatics AD, MCI, fMRI, DTI, MRI
Yong Cheng NIH Review data
Yang Cheng University of Shanghai for Science and Technology DTI
zhang cheng chongqing university zc19930227
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
Tanya Chenhall Cogstate Cogstate
Joy-Loi Chepkoech University of Oslo Cognition, research assistant
Chih-Lin Chi Univ of Minnesota machine learning, optimization, personalized care, translational research
Chang Chia-Hua National Chiao Tung University Alzheimer Disease biomarker
Gloria Chiang UCSF DTI
Patrizia Chiesa ICM rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Yogitha Chilukuri University of Pennsylvania Alzheimer, Machine Learning
Cherise Chin Fatt University of Texas at Dallas dissertation, fcMRI, cortical thicknes
Andrea Chincarini INFN longitudinal studies, MCI, network, atrophy measurements
Christopher Ching UCLA Urgent request for access
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
Sooyun Cho Seoul National University normal aging, culture, education
yongrae cho kaist sparse spm
Jaesik Choi Ulsan National Institute of Science and Technology Deep Learning, Recurrent Convolutional Layers.
Sophia Choi Asan Medical Center PET data
Pui Tung Choi The Chinese University of Hong Kong computational differential geometry, statistical shape analysis
Yong-Ho Choi university of hanyang DTI
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Yeoreum Choi KAIST/South Korea domain adaptation
Euna Choi Seoul National University DTI TBSS Early detect of Alzheimer's disease.
Hyeongju Choi Korea Advanced Institute of Science and Technology deep learning
IL Han Choo Chosun University Early detection, Alzheimer disease, Biomarker, Combination
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
yufang chu NCTU feature selection,genetic algorithm
Tzu-Chao Chuang National Sun Yat-Sen University cortical thickness, hippocampus subfield, MRI
luo chuanji UESTC Brain medical images, texture feature, morphometric feature, multi-feature comb
Yu chuanjian Xiamen University rearch
Marvin Chun Yale University functional connectivity
Sung Chun Brigham and Women's Hospital Heritability, fine-mapping
Jung-Che Chung National Yang-Ming University Deep learning, Classification
jaeeun chung korea university research
Ai Wern Chung Boston Children's Hospital, Harvard Medical School network theory, diffusion, heat kernel
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
Claudia Cioli INSERM-CNRS multivariate analysis, imaging, genetic, clinical
Ben Cipollini UC San Diego asymmetry, lateralization, GWAS
Ben Cipollini UC San Diego asymmetry, lateralization, GWAS
Corrado Cittanti Nuclear Medicine Section Amyloid, Florbetapir, Quantification, PET, Alzheimer's Disease
Marissa Clark University of Maryland ADNI
David Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Daniel Clifft Argus BCI, CBI, Virtual Reality
Sharlee Climer Washington University in St. Louis epistasis, genetic heterogeneity
Sean Clouston Stony Brook University Statistical methods, Alzheimer's disease, brain structure and function
David Clunie PixelMed Publishing and RadPharm, Inc DICOM compression
Yann Cobigo UCSF ADNI2 ARTFL LEFFTS
Phoebe Cohen University of Southern California, Keck School of Medicine PheWAS, neuroimaging
Taco Cohen University of Amsterdam machine learning, deep learning, classification, alzheimer's disease
Michael Cole Rutgers University-Newark cognitive control, resting state
James Cole Imperial College London Aging, Machine learning, T1, DTI
George Coleman Jackson State Univesity PTSD national Guard
Sven Collette California Institute of Technology functional connectomes, network analysis, FSLNets
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
Joanna Collingwood University of Warwick Biomarkers Across Neurodegenerative Diseases Collingwood
Robert Comley Abbvie inc PET, MRI
Bryan Conklin VoxelRx & Florida Atlantic University machine learning, neuroscience, neural network, deep learning
Lindsay Conner UCF Aging, Decision Making, PFVMC, fMRI
Thomas Connor University College Dublin Bio-fidelity, head form, model.
Joanne Conover University of Connecticut Aging, Alzheimer's disease, MRI, FLAIR-MRI
Ivona Contardo-Berning Stellenbosch University Multi-label classification
Ronan Conway National College of Ireland alzheimers dementia
Agata Copani University of Catania beta-amyoid, cell cycle genes
Giovanni Coppola UCLA genetic genomic biomarkers
Syl Corbett University of Calgary hippocampus
fabian Corlier University of Southern California systemic inflammation, covariance structure analysis, brain structural integrity
Rui Correia Institute of Biophysics and Biomedical Engineering Functional Metabolic Alzheimer PET
Joshua Cosman Pfizer Alzheimer's, Biomarker
Olivier Coubard CNS-Fed Neuropsychology, Aging, Eye movements, Vision
Elizabeth Coulson The University of Queensland mechanisms of neurodegneration
Elizabeth Couser University of Maryland, Baltimore imaging, Alzheimer's
Patrick Coyle Temple University LASSO, variable selection, post-selection inference, manifold learning
Brian Cozzi Rush University Medical Center Data Mining/ Exploratory analysis.
Cameron Craddock Nathan Kline Institute computer vision, deep learning, quality assessment, skull stripping, segmentatio
Karen Crawford USC That
Karen Crawford UCLA Laboratory of Neuro Imaging None
Byron Creese King's College London polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
Ivor Cribben University of Alberta Networks; Longitudinal networks; Resting state
Theodore Crisostomo-Wynne Walter Reed National Military Medical Center anticholinergics, cognition
Nicolas Crossley P. Catholic University of Chile resting-state fMRI, VBM, structure and function relationship
Etienne Croteau CRCHUS Sherbrooke University PIB, concussion, MRI
Rebecca Crouch University of Kentucky MDR, QMDR, SNP, interaction
Carlos Cruchaga Washington University School of Medicine CSF, plasma, RBM, GWAS, whole-genome
Zsolt Cselényi Karolinska Institutet wavelet; parametric image; PET; amyloid
Math Cuajungco California State University Fullerton Neuroscience
sue Cui Southern Medical University DTI analysis
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
NICHOLAS CULLEN UNIV. OF PENNSYLVANIA CCA
Daniel Cuneo UCSF Morphometry, cortical thickness, freesurfer, nonlinear longitudinal registration
Tshaka Cunningham Dept Veterans Affairs Alzheimer's disease, genomic variants
vicente cutanda oncovision Molecular image
Max Cynader University of British Columbia Alzheimer's Disease, machine learning, cognitive impairment risk
Giovanni d'Avossa Bangor University Brain Atrophy, Hippocampus, Cerebellum
Pankaj Daga Independent Scholar image registration, bayesian analysis, segmentation, genetics with imaging
Hui Dai Keck hospital of USC PICALM; cognition; functional networks; neuroimaging
Tian Dai emory university prediction, connectivity
Wei Dai Shanghai University dissertation, sample figure
Peng Dai the University of Western Ontario machine learning, predictive model, deep learning
Davied Hong Daivied Hong South China University of Technology classification
Marko Dakovic FFH freesurfer cortical thickness segmentation
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
Jessica Damoiseaux Wayne State University functional connectivity, hippocampus, cognition
Zou Dan Fudan University Functional connectivity
Shilpa Dang Indian Institute of Technology Delhi fMRI, DTI, effective connectivity
Xuan Hong Dang University of California Santa Barbara ADNI analysis, machine learning, graph mining
Zinkert Daniel Uva Wellassa University Brain, Cortical Thickness
Fabrice Danjou Institut du Cerveau et de la Moelle-épinière (ICM) Mitochondrial DNA; Neurodegenerative Diseases; Whole Genome Sequencing
Eveleen Darby Baylor College of Medicine Alzheimer Disease
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
Agnieszka Dardzinska Bialystok University of Technology database, data mining, KDD
Burcu Darst University of Wisconsin, Madison Alzheimer's disease, cognitive function, metabolomics
Sultan Darvesh Dalhousie University Alzheimer, MCI, FDG-PET, amyloid-PET, SUVR, early biomarker
Asma Darvishi Student Scientific Research Center,Tehran University of Medical Sciences alzheimer,DTI,tractography
Devsmita Das Stanford University morphometry, MRI, MTT, Alzheimer's disease
Kalyan Das University of Calcutta categorical,miscategorization, missing ness,
Subhrangshu Das Indian Institute of Chemical Biology Image Segmentation , classification, MRI
Sandhitsu Das University of Pennsylvania hippocampus MCI
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Shounak Datta ISI Kolkata Neural Networks
Jérôme Dauvillier SIB - Swiss Institute of Bioinformatics Epistasis
Christos Davatzikos University of Pennsylvania classification, MCI, conversion to AD
Ian Davidson U.C. Davis machine learning, networks
Renske de Boer Quantib B.V. evaluation, segmentation
Marleen de Bruijne Erasmus Medical Center image analysis
Maya de Buhan Centre National de la Recherche Scientifique facial reconstruction
Philip De Jager Brigham and Women's Hospital Cognitive reserve
Nuño de la Concha Vega UC3M Alzheimer. Machine Learning. Data Base.
Siemon de Lange University Medical Center Utrecht connectome, structural connectivity, Alzheimer, MCI
Rodrigo de Luis Garcia Universidad de Valladolid DTI, structural connectivity, identification
Matteo De Marco University of Sheffield Alzheimer's disease, mild cognitive impairment, resting state
Alexandra de Sitter VU Medical Centrum Amsterdam MRI defacing skullstripping Alzheimer
Scott Dean Naval Research Laboratory deep learning
Charles DeCarli University of California at Davis MRI, cerebrovascular disease
Summer Decker University of South Florida Morsani College of Medicine morphometrics
maryam dehbozorgi Shiraz university of Medical Sciences Hippocampus, volumetry, analysis
JOHN Del Gaizo Medical University of South Carolina early-onset AD, verbal fluency, amyloid, neuropsychological testing
Juan Delgado Hospital la Fe Alzheimer Disease, Neuroanatomy
zeynep demir University of California San Francisco ADNI
Charles Denby Rhode Island Hospital ADNI-3
Wanyu Deng Xi'an University of Posts and Telecommunications Deep learning, Neural Networks
Yanjia Deng The Chinese University of Hong Kong MRI, visual function, MCI, AD
Kristina Denisova Columbia University Medical Center structural and functional MRI
William Denney Blue Peak Consulting disease progression
Brendan Depue University of Louisville PTSD, Amygdala, Morphometry
Thomas DeRamus University of Alabama Birmingham Diffusion Imaging, funcitonal connectivity
Rahul Desikan Martinos Center for Biomedical Imaging MCI, MRI, morphometry
Paula Desplats UCSD DNA methylation, gene expression, tau, MAPT, blood, Alzheimer's, biomarkers
Christian Desrosiers Ecole de technologie superieure Sparse Multivariate Regression LASSO ADMM Pooling
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
Koen Dewaele ADx NeuroSciences PET imaging visual tracer
Devendra Dhami Indiana University Alzheimer,MRI,prediction
Moyez Dharsee Ontario Cancer Biomarker Network integration, analysis
Permesh Dhillon University of Nottingham MRI, DTI, PET
Anjani Dhrangadhariya Fraunhofer SCAI Genetic, image
Xin Di University of medicine and dentistry of new jersey connectivity, pet
Nicola Di Mauro University of Bari Alzheimer’s disease, Machine Learning
Kimberly Diah Nova Southeastern University - Biomarkers, AD severitty, MCI, Neuroinflammation
Sara Diamond OCAD University data visualization
Catherine Diaz-Asper Marymount University automated text analysis; language;
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
Louis Dieumegarde IUSMQ Database
Vanderson Dill Pontifícia Universidade Católica do Rio Grande do Sul Hippocampus Segmentation, Evaluation
Allison Dilliott Western University Genomics, Data Dictionary
Zhaohua Ding Vanderbilt University DTI, fMRI, structure, function
yanhui ding University of Pennsylvania biomarker detection
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Shanshan Ding University of Delaware dimension reduction, variable selection, tensor decomposition
Xiuhua Ding University of Kentucky group based trajecotry model , dementia, sleep apnea
Ivo Dinov UCLA Alzheimer's disease, statistics, shape
Valentin Dinu Arizona State University pathway analysis, complex phenotype, data mining, statistical analysis
Ibrahima Diouf commonwealth scientific and industrial research organisation (csiro) CSF ferritin
Phillip Dmitriev University of Pennsylvania manual tracing
Hiroko Dodge University of Michigan & Oregon Health & Science University Big data analysis, TranSMART, biomarkers,
Hiroko Dodge Oregon Health & Science University MRI volumetric changes
Sudipto Dolui University of Pennsylvania ASL, signal processing, denoising
Olga Dona McMaster University Fractal Analysis
Paul Donaghy Newcastle University amyloid PET imaging
Frank Dondelinger Lancaster University lasso, prediction
Wen Dong Yanshan University brain network,brain anatomical connectivity,diffusion MRI
Hao-Ming Dong Chinese acdamy of science developmental trajectory; resting-state maps; AD
Patricio Donnelly Kehoe CIFASIS-CONICET skull-stripping, image processing
Michael Donohue Keck School of Medicine of USC ADCS
vincent Dore CSIRO PET longitudinal
Chase Dougherty Geisinger Health System structural covariance
Mitchell Doughty McMaster University Controls, TBI
N. Maritza Dowling University of Wisconsin-Madison Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Senan Doyle Pixyl Medical MRI Brain Segmentation Cortical Thickness Hippocampus
Andrew Doyle McGill University deep learning
Stephen Doyle Stony Brook University School of Medicine Stroke, FDG PET
Matthew Dragan University of Nevada, Reno logistic regression, variable selection, categorical models
Bogdan Draganski CHUV voxel-based morphometry
Sorin Draghici Advaita meta-analysis, data integration, subtype discovery
Derek Drake Harvard University AD
Erin Drake Brigham and Women's Hospital/Harvard Medical School Data and Publications Committee
Shilpa Drd Indian Institute of Technology Delhi fMRI, DTI, effective connectivity
Nina Dronkers University of California, Davis language, aging, aphasia
Madelyn Drozdowski Molecular Neuroimaging, LLC / Institute for Neurodegenerative Disorders ADNI, PET, MRI
Changde Du University of Chinese Academy of Sciences Early Alzheimer’s disease (AD) diagnosis; Transfer learning; Domain adaptation
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Xingqi Du North Carolina State University Network, machine learning
changde du UCAS machine learning; AD detection
Fang DUAN The University of Tokyo DNB, network analysis
Kuaikuai Duan University of new mexico pattern recognition,brain networks
Simon Duchesne Université Laval Morphometry, MRI, multidimensional analysis
Simon Duchesne True Positive Medical Devices Inc. Biomarkers; Volumetry; Normative data
Andrea Duggento University of Rome "Tor Vergata" brain connectivity, granger causality, directed graphs
Juergen Dukart Hoffmann-La Roche PET MRI biomarkers diagnostic models
Ruth Dunn Goura Victoria Consultants Limited software, analysis
Vu Duong Chonnam National University Alzheimer, dementia, PET, MRI
Antoine Duquette CRCHUM Whole genome, pathways
Tugce Duran Indiana University School of Medicine MRI and PET scans, genotypes
Timothy Durazzo Stanford School of Medicine neuroimaging, biomarkers, neurocogntion, smoking
Stanley Durrleman INRIA statistics, longitudinal, spatiotemporal data, image analysis, aging, brain
Martin Dyrba German Center for Neurodegenerative Diseases (DZNE) probabilistic models, multimodal analysis, machine learning, Markov random field
Hadrien Dyvorne Hyperfine Research quality assessment
Amulya E R Sahrdaya College of Engg&Tech Alzheimer's Disease detection
Jennifer Eads Eli Lilly and Company PET perfusion scan, cognition
Jennifer Eastman Northwestern University MCI
Susan Eaton Biogen epidemiology, predictive model
Christopher Edlund University of Southern California gwas
Emily Edmonds University of California, San Diego Mild cognitive impairment; Neuropsychology
Mackenzie Edmondson University of Pennsylvania neuroimaging, high-dimensional
Boutros El-Gamil Software Technology and Interactive Systems cluster, ensemble
Annie Elander Johns Hopkins School of Medicine cortisol, medial temporal lobe
Annie Elander Johns Hopkins School of Medicine cortisol, medial temporal lobe
Vidhya.E elango Periyar University unstructured data
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
Matthew Ellis University of Southern California Alzheimer's, tau, PET
Jeremy Elman UCSD Pupillometry, aging, dementia
nada elrakaiby Arab Academy for Science and Technology Alzheimer's Disease, Image Processing, Pattern Recognition, MRI
Tesfai Emahazion AstraZeneca PLC GWAS, imputed analysis, segmentation analysis
BEHNAZ EMAMI UNIVERCITI AZAD NAJAFABAD alzaymer-bel-classification
Jurriën Embrechts amc machine learning
Nisanka Embuldeniya University of Peradeniya MRI,AD,MCI
Mohammad Asif Emran Khan Emon Fraunhofer Institute for Algorithms and Scientific Computing SCAI Neuroimaging Analysis, LONI
Saba Emrani SAS Institute Multi task learning
asieh emrani International University of Imam Reza Feature Selection, Feature Extraction
Miklós Emri University of Debrecen PET, SPM
Barbara Engelhardt Princeton University Automatic feature extraction, statistical models
Bob Engle Biogen ADNI Stat Programming, Baseline Analyses to understand disease progression
Noam Epstein University of Illinois at Chicago Pharmacoepidemiology
Fusun Er Yeditepe University Alzheimer's Image Processing
Erik Erhardt University of New Mexico classification
Oscar Eriksson Lund university Cognition, biomarker, pathology
Zeynep Erson Omay Yale University School of Medicine longevity, exome sequencing
Javier Escudero University of Edinburgh Machine learning, Decision support, biomarkers
Jason Eshleman IO-Informatics transmart
Simon Eskildsen Aalborg University cortical thickness, brain mapping, segmentation
Ryan Essex LONI AD
Oscar Esteban Stanford University quality assessment, structural MRI
Karol Estrada Biogen Alzheimers genetics nerological
Douglas Ethell Western University of Health Sciences longitudinal MRI CT olfactory degeneration cribriform plate ethmoid nasal
Kimberly Ethridge Nova Southeastern University Neuroimaging and cognitive assessments
Amit Etkin Stanford University cognition, resting-state fMRI
Seyedrohollah Ettehadi university of sherbrooke biomedical, dignosis
gao eugene waseda university a332233
Dave Evenden Southampton Universiry Dementia, Disease Modelling, Healthcare Planning
Rina Evtikheeve HIT template brain mri
Siobhan Ewert Harvard Medical School DBS, normalization
Mehdi Ezoji Babol University of Technology Memory Performance
Scot Fague Washington University - St Louis AAIC, DIAN ADNI AIBL
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
Farshad Falahati Karolinska Institutet AD, MCI, MRI, PET, CSF, Multimodal diagnostic index
Yonghui Fan Arizona State University ADNI2-GO MRI data
Ruzong Fan NICHD/NIH association studies
ZHEN FAN Imperial College London AD biomarkers PET MRI
maohua fan Beijing Huachengxingye software development company Ltd. Convolutional Neural Networks,Classification
Li fan Chongqing University Alzheimer's disease Mild cognitive asymmetric features
Sili Fan UC Davis normalization
Yong Fan Institute of Automation, Chinese Academy of Sciences pattern classification, neuroimage analysis
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
Yu-Hua Fang National Cheng Kung University automatic image analysis. Open-source software package.
Xiaoling Fang McGill University Alzheimer's disease, MRI, DTI, PET, system failure, brain networks
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
Alessandro Fanti Università degli studi di Cagliari Alzheimer features brain imaging MRI
Carlo Fantozzi University of Padova Alzheimer's disease, Ensemble of classifiers
bab far medizinische schule radiology
Martha Farah University of Pennsylvania Training Segmentation Hippocampus
naemeh farahani Islamic Azad university of sience and research Branch of Tehran Alzeimer
Seyedehrezvan Farahibozorg Amirkabir University of Technology age estimation, brain MRI, fractal dimension, chaotic neural network
maryam farajpour ma alzheimer
David Fardo University of Kentucky Pathway-wide association, AD
sadaf farkhani Iran,Esfahan,Najafabad university multi modal medical fusion
Bryn Farnsworth Independent SNPs, GWAS
Ammarah Farooq CEME NUST multiclassification, deep learning
Yasmeen Farouk Ain Shams University FPGA GPU
Lindsay Farrer Boston University School of Medecine gwas alzheimers meta-analysis adgc
Emad Fatemizadeh Sharif University of technology Connectivity, Graph, Manifold
kim fatfat beijing normal university fMRI
Zainab Fatima Northwestern University - Feinberg School of Medicine cluster analysis, MCI, aging, AD, neuropsychological data, cognitive ability
rizky faundra ITS rizkycintacicik
Noel Faux Mental Health Research Institute (MHRI) AIBL, Rules Based Medicine Discovery MAP 1, plasma
Anne Favan-Niven Washington University in St. Louis Preclinical, Alzheimer's Disease, Biomarker Panel, YKL-40, VILIP-1
Clélia Favary INSERM U1219 BORDEAUX POPULATION HEALTH risk score - dementia - external validation
Amir Fazlollahi CSIRO ASL Perfusion
gao fei Northeastern university Alzheimer's disease
Franklin Feingold USC Neuroinflmmation
Soheil Feizi Stanford PCA
Eloy Félix Mind the Byte/Universitat Politècnica de Catalunya alzheimer, deep learning, machine learning
Grazia Daniela Femminella Imperial College London inflammation; atrophy; AD; MCI
Zijun Feng ASU AD, MCI
Xinyang Feng Columbia University AD imaging biomarker
Ao Feng Chengdu University of Information Technology medical image, MRI, Alzheimer's disease, classification, regression
Zijun Feng NENU AD, MCI
Aasa Feragen Max Planck Institute for Intelligent Systems, Tübingen, Germany Brain connectivity, diffusion MRI, graph kernels
Marzieh Fereidouni IPM memory, MRI, AD
Víctor Fernández UPV/EHU machine learning
Jesus Fernandez Bes Universidad Carlos III de Madrid Bagging Selection, SVM, Feature Selection
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
Mark Fiecas University of Minnesota fMRI, connectivity, longitudinal
Els Fieremans New York University School of Medicine freesurfer controls
Cassidy Fiford University College London, Institute of Neurology white matter disease, vascular risk factors
Michal Figurski University of Pennsylvannia UPenn, Leslie Shaw
Massimo Filippi San Raffaele Scientific Institute, Vita-Salute San Raffaele University diagnosis; learning algorithm; 3D convolutions; multimodal MRI.
Teresa Filshtein University of California, Davis Alzheimer's Disease, biomarkers
Elizabeth Finger University of Western Ontario NPI, MRI, PET
Nicholas Firth UCL Event-based model
Alexander Fischer Philips Research IMALYTICS, test data
Florian Fischer Universtiy Medical Center Mainz Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Christopher Fischer Sanford Health NA
Simon Fitall Galileo Analytics LLC Data visualisation, data analytics, alzheimer's
Blair Fleet Michigan State University Image fusion, Alzhemier's, Sparse Representation, Evolutionary Computation
Greg Fleishman LONI IGC, LONI, PAUL THOMPSON, GREG FLEISHMAN
LAMBROS FLOKAS NTUA DTI,Alzheimer's
Alberto Flores Universidad de Monterrey (UDEM) Biomarkers, Engineering, Image Processing
Niels Focke University of Goettingen VBM validation
Wai Yan Fok Research Center for Medical Image Computing segmentation; subcortical structures; severe brain damage; Alzheimer's disease
Nancy Foldi Queens College - City University of New York MTL, HIppocampus, serial position effect
Guilherme Fôlego Universidade Estadual de Campinas AD, ML
Aura Forero Universidad Nacional de Colombia fMRI, default mode network, basal ganglia, image processing
Myriam Fornage University of Texas Health Science Center at Houston Small Vessel Disease; brain MRI; white matter hyperintensity
Jean-Philippe Fortin Johns Hopkins University Batch effects, preprocessing, normalization
Belén Fos Guarinos QUIBIM deep learning, medical imaging, diagnosis
Gregory Founshtein The hebrew University and the Hadassah Ein Kerem medical center Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Benjamin Franc University of California, San Francisco PET, FDG, fluorodeoxyglucose, chemotherapy, brain, hypometabolism
Clement Francois Lundbeck clinical relevance, modelling, long term consequences
Kay Frank SUNY Binghantom Graduate School of Education educational level, Alzheimer's Disease Progression
Mark Fraser Australian National University harmonized Hippocampal protocol, manual segmentation
Mark Frasier Michael J Fox Foundation CSF, biomarkers, neurodegeneration
Blaise Frederick McLean Hospital/Harvard Medical School resting state, perfusion,
fernandho freitas University Center of FEI AD, feature extraction, wavelets
Escalin Frency J J St.Xavier's Catholic College of Engineering Alzheimer's disease
Yun Freudenberg-Hua Feinstein Institute of Medical Research AD genetics, loss-of-function variants
Brad Friedman Genentech, Inc. bioinformatics genetics
Theodore Friedmann University of California San Diego purine, Alzehimer's
Christoph M. Friedrich University of Applied Science and Arts Dortmund SNP subset selection
Karl Friedrichsen Washington University School of Medicine in St Louis ASL AD FreeSurfer
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
Klaus Fritzsche German Cancer Research Center validation, evaluation, atrophy estimation, voxel based morphometry
Alexander Frolov Stanford University Hospital & Clinics Alzheimer's diseaese, biomarkers, tau, amyloid
Catherine Fu UCSF ASL FSL
Zening Fu the university of hongkong dynamic functional connectivity, mci, classification,
Emmanuel Fuentes GE amyloid, PET, MR, aMCI, pAD, images, 3D
Motonobu Fujishima National Center of Neurology and Psychiatry differential diagnosis; Alzheimer's disease; FDG-PET; MRI
ken fujiwara NCGG nilsgo
Tadanori Fukami Yamagata University longitudinal analysis, indicies
Cory Funk Institute for Systems Biology Alzheimer RNA-seq WGS
Diana Furcila Center for Biomedical Technology alzheimer's disease
Jessica Fuselier IUPUI GWAS, Alzheimer's
Terry Gaasterland University of California San Diego biomarkers, prediction, progression, early detection, neurodegeneration
Jin Gahm USC Surface mapping
Chris Gaiteri Rush University networks coexpression
Niharika Gajawelli USC fMRI, MRI, AD, MCI,
Alexis Galantino University of Pennsylvania manual hippocampal tracing
Javier Galarza Hernández Polytechnic University of Valencia Predictive model, Deep Learning, Convolutional Deep Learning
David Galas Pacific Northwest Diabetes Research Institute algorithm, multi-variable data, dependencies, information theory
Douglas Galasko UCSD cognition
Liisa Galea University of British Columbia APOE, Pregnancy, motherhood, hormone therapy, inflammation
gaetan galisot UNiversité de tours *
Antonio Javier Gallego Sánchez University of Alicante Machine learning, pattern recognition
Paul Gallins NC State University data integration neuroimaging genetic
Dragan Gamberger Rudjer Boskovic Institute data clustering, subgroup discovery, intelligent data analysis
KE GAN Sichuan University cortical thickness measurement; brain; MRI; brain morphology; Alzheimer's Diseas
Hong Seng Gan Universiti Kuala Lumpur hippocampus Segmentation, Alzheimer's Disease, Random Walks
Subha Ganapathi Bosch Alzheimer's Disease, Biomarker
Christina Gancayco University of Virginia MRI, network, connectivity, structural changes
Marco Ganzetti KU Leuven large ventricles
Fei Gao Arizona State University AD,MCI, Machine Learning
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
Linlin Gao Harbin Engineering University graph
Tianxiang Gao University of North Carolina at Chapel Hill deep learning, classification, MCI prediction
Fei Gao University of North Carolina at Chapel Hill Biomarkers, Joint modeling
Linlin Gao Harbin Engineering University corner matching, medical image, classification
Ranjini Garani Indian Institute of Science analysis
Sara Garbarino UCL Network diffusion models
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Ivan Garcia URJC Tool,
xiadnai garcia udg software dementia
HERNAN FELIPE GARCIA ARIAS UNIVERSIDAD TECNOLÓGICA DE PEREIRA PROBABILISTIC CORRESPONDENCES
Angel Garcia de la Garza University of Pennsylvania Hippocampal Tracing
Mar Garcia Valero Fundació Ace Endophenotype study
Pablo García-Polo Center for Biomedical Imaging Perfusion, Dementia
Gaurav Garg University of Ulster Modeling, EEG, fMRI, Alzheimer's, AD
Divya Garg University of Strathclyde sleep disorders, neuropsychological assessment, MRI
Rahul Garg Indian Institute of Technology Delhi Grangr causality, FARM, Autoregressive Modeling
Valentina Garibotto Geneva University Hospitals FDG PET, tau, Ab42, CSF
Matthew Garvey Georgia Institute of Tecnology 3D PET/MRI viewer
Eduardo Garza-Villarreal Universidad Autonoma de Nuevo Leon diabetes, mild cognitive impairment, genetic, cortical thickness
Jesy Leandro Garzon Nieto Universidad Politecnica de Madrid Shape, Hipocampus, MRI, Skull-stripping
Malo Gaubert INSERM Alzheimer’s disease, MCI, presymptomatic, MRI, PET,neuropsychology, longitudinal
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Brandon Gavett University of Colorado Colorado Springs Alzheimer's disease, latent variable models, cognitive reserve, cognitive declin
Giovana Gavidia Biomedical Engineering Research Centre (CREB) of UPC Image processing, lineal mixed models, statistical inference, machine learning
Barzin Gavtash Loughborough University Nasal cavity - CFD - Drug delivery
Jodie Gawryluk University of Victoria white matter, MRI, DTI, cognition
Messon Gbah University of Michigan ADNI DOD MR data
Haitao Ge Xuzhou MRI;PET
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
Hugo Geerts In Silico Biosciences Quantitative Systems Pharmacology
Niklaus Geisser UCB Data Mining, Internet of Things, AAL
Junxian Geng Florida State University genotype-phenotype associations; subpopulation
Felix Gess individual research Alzheimer , artificial neural networks, DNN, RNN
Devon Gessert USC ATRI n/a
Halleh Ghaderi McGill University mri image
shabnam ghahari Islamic Azad University of Science and Research Branch of Tehran alzheimer
yaghoob ghanbari hormozgan univercity dataset
Ladan Ghazi-Saidi Cleveland Clinic Tau, cognitive decline, AD, biomarker, atrophy
Mojgan Ghodrati Medical University of Vienna brain atrophy measurement, FFD image registration, b-spline basis functions
mojgan ghodrati Islamic Azad University, Science and Research branch brain atrophy,atrophy measurement,alzheimer's disease
BEHNAZ GHORBANI AZAD UNI. Alzheimer MRI
Reyhaneh Ghoreishiamiri University of Alberta Early diagnosis
sayan ghosal University of Alberta Image registration, deep learning, quantitative analysis
Saheb Ghosh VIT University alzheimer, Machine Learning
Sreya Ghosh University of California, San Diego big data, Machine learning
SUKANTA GHOSH JADAVPUR UNIVERSITY MRI DATA SET REQUIRED
Galetta Giannicola Università di Milano FDG PET Alzheimer
Gary Gibson Weill Cornell Medical College conversion
Ronald Gieschke Roche Mathematical Model Alzheimer's disease Abeta
Daniel Gillen UC Irvine Statistical Methods; Case-Cohort; Nested Case-Control; Survival Analysis, CSF
Alessandro Giordani Università Cattolica del Sacro Cuore epidemiological studies, risk factors
Diana Giraldo Universidad Nacional de Colombia Morphometric Analysis
Juan D. Gispert Fundació Pasqual Maragall Partial Volume Correction,
Darren Gitelman Northwestern University VBM, covariance
Mario Valerio Giuffrida IMT SCHOOL ADVANCED STUDIES LUCCA Machine Leraning, Registration, Features
MADHU GK VVIET vviet
Enrico Glaab University of Luxembourg pathway analysis, enrichment analysis
Jesse Glass Temple University Fused Lasso, Structured Classification, Structured Prediction, Network Lasso
Brad Glazier Indiana University Imaging, Genetics, Biomarkers
Carey Gleason University of Wisconsin Intraindividual variability, cognition
Enrico Glerean Aalto University graph theory, fMRI, networks
Tanya Glozman Stanford University structural-MRI, geometric descriptors
Michael Godbey Indiana University Southeast modeling, Alzheimer's
Dr. Minakshi Gogoi GIMT, Guwahati MRI
Soroosh Golbabaei university of tehran alzheimer disease, Mild Cognitive Impairement, Connectome, Graph Analysis
Daniel Golden Arterys machine learning, segmentation
Felicia Goldstein Emory University task engagement, recognition memory, normal cognition, MCI, AD
Carlos Gomes Cornell University memory, cognitive impairment, markers of impairment, clinical tests, MCI, AD
Isabel Gomez Consorci Sanitari Integral Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
Vanessa Gomez-Verdejo Universidad Carlos III de Madrid machine learning, mri
weikang gong chinese academy of sciences schizophrenia autism
Siliang Gong UNC Chapel Hill variable selection, lasso, forward stepwise selection
Enhao Gong STANFORD UNIVERSITY Deep Learning, Compressed Sensing
Kuang Gong University of California, Davis PET reconstruction CT prediction from MRI
Clio Gonzalez University of Southern California Genetics, Neuroimaging
Evelio Gonzalez CNEURO MRI, DTI, mri pulse sequence
Jesus Gonzalez Instituto Nacional de Astrofisica, Optica y Electronica Data science, machine learning, unstructured data
Gerardo Gonzalez University College London AD, Big data, Automated anomaly detection
Eduardo Gonzalez Moreira University of Electronic Science and Technology of China multimodal neuroimaging data
Srinath Gopinath Yale University Volumes, PET uptake, Hippocampus, Amygdala
Anusharani Gopu Royal Institutue of technology Masters thesis Big data analytics
Yuri Gordienko Kurdyumov Institute for Metal Physics, National Academy of Sciences of Ukraine Alzheimer’s Disease, Pathogenesis, Pre-symptomatic, Mild Cognitive Impairment
Mark Gordon Boehringer Ingelheim Pharmaceuticals, Inc. EMIF, CAMD
david gordon UCLA Neuroimaging; Machine Learning; Alzheimer's Disease
Brian Gordon Washington University in St. Louis Alzheimer's, spatial patterns, head trauma
Juan Manuel Gorriz University of Granada Image processing, Random forest
Dorothy Gors Kuleuven multivariate analyze, imaging genetics
Jens Göttler Klinikum rechts der Isar, Technische Universität München resting state fMRI, FC, perfusion, ASL, metabolism, FDG, amyloid
Xanthippi Gounari University of Strathclyde Glasgow ADL, MRI scans, AD, MCI
Devendra Goyal University of Michigan DREAM challenge
John Graf GE Global Research kinetic system risk model PBPK BioDMET
Ariel Graff Universtity of Toronto depression, amyloid, PET
Leah Graham The Jackson Laboratory Diffusion tensory imaging, myelin, obesity, cognition
Jinko Graham Simon Fraser University multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Kamil Grajski Nurosci, LLC Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP
Maziyar grami Azad university data mining, machine learning
Marilyn Grand'Maison Biospective PET, MRI, Alzheimer's, Cortical Thickness, AV45
Kiran Grant University of Calgary hippocampus, segmentation
Maurizio Grassano University of Turin Dementia
Elena Grassi University of Turin eQTL, GWAS, transcription factors
Katherine Gray Imperial College London Alzheimer's disease; early diagnosis
Elisabetta Grecchi King's College London PET,FDG,Dynamic
Boby Greedy Shenzhen University classification,ad,studying
Robert Green Brigham and Women's Hospital and Harvard Medical School AD analyses
Elaine Green Plymouth University L1 elements, retrotransposons
Jonathan Greenberg Icahn School of Medicine at Mount Sinai ADNI-2
Johannes Gregori mediri - medical imaging research institute MRI, ASL, PET
Michael Gregory NIH neuroimaging
Michael Greicius Stanford University genes, structure
Douglas Greve MGH PET
Joshua Grill UC Irvine informant
Kelsey Grodner Nova Southeastern University Severity and symptoms in AD
Vince Grolmusz Eotvos University vertex connectivity, edge connectivity, network flows
Perry Groot Radboud University Nijmegen causal
Alden Gross Johns Hopkins Bloomberg School of Public Health Alzheimer's; psychometric trait theory
Arne Grundstad AbbVie AbbVie ADNI
Edward Grundy Renishaw atlas
Tomasz Grzegorczyk Delpsi data analytics, predictive algorithm, early predictors
nandith gs student alzeheimer's disease,image processing,mri,matlab
david gu jilin university data mining digital image processing
Jiena Gu Kansas State University Alzheimer's Disease Progression
YUN GU SJTU Crossmodal retrieval
Donghai Guan Nanjing University of Aeronautics and Astronautics Alzheimer's disease; Mild cognitive impairment; Graph
Sheng Guan Florida International University Feature extraction, classification
Tobias Guennel Precision for Medicine MCI, socioeconomic impact of AD, genetic risk signatures
Laurent Guerin University of Rennes 1 Teaching project
Ricardo Guerrero Imperial College London Early Dementia, multi-modal imaging, biomarkers
shankru guggari BMS College of Engineering Decision Tree
RAJARSHI GUHANIYOGI UNIVERSITY OF CALIFORNIA tensor regression
Romain Guillier Lincoln data-mining exploration
Jeff Gulcher WuXi NextCODE Genomics pathway enrichment, classification, PET amyloid
SARITA GULIA BANASTHALI UNIVERSITY RAJASTHAN FMRI
Freedom Gumedze University of Cape Town Incomplete and unbalanced longitudinal data
Nishan Gunawardena University of Colombo Alzheimer’s Disease, Pre-detection, MRI data, image processing
Roger Gunn Imperial College London Mathematical Analysis, Classification, Machine Learning
Michael Guo Boston Children's Hospital HMGA2, diabetes, short tandem repeat
xingzhi guo Shanghai jiaotong university RAGE
zhang guo kai TongJi University Medical Image,Machine learning,Alzheimer’s Disease
Navin Gupta Indian Institute of Technology, Guwahati clinical subtyping, data driven, symptoms, independent component analysis
Anubha Gupta IIIT-Delhi fMRI
Ishaan Gupta icahn school of medicine,mt.sinai Machine learning
Onan Guren University College London RVR
Ashita Gurnani University of Colorado at Colorado Springs dementia, Alzheimer's disease, differential diagnosis
Mahmut Edip Gurol Massachusetts General Hospital CAA, cortical thickness, controls, AD
David Gutman Emory University informatics; neuroimaging; radiomics; predictive modeling; workflows
Ingomar Gutmann Universitätsklinik St Pölten Correlation to PCA Data
Gloria Guzman Washington University in St. Louis AD
GYY GYY anhui university 15141661514166
Vanamala H Rajanna PESIT fMRI,PET, AD , Connectivity
Seongwook Ha Signlab PET, MRI analysis
WOOSEOK HA Severance hostpital B12, cognition, vitamin
Ewart Haacke Magnetic Resonance Innovations, Inc. Susceptibility Weighted Imaging (SWI), Gradient Echo, phase and magnitude.
Miriam Haaksma Radboudumc prognostic model; external validation
Christian Habeck Columbia Un multivariate analysis, ROC curve, replication
Tom Haber Hasselt University nlme,lcmm,performance,robustness
Mohamad Habes University of Pennsylvania AD-like patterns, Brain Aging, White Matter Hyperintensities
MARIA MERCEDES HACKSPIEL ZARATE UNIVERSIDAD MILITAR NUEVA GRANADA pathologies, neuropsychological tests
Ravi Hadimani Virginia Commonwealth University Anatomically realistic head models, 3D head models, Brain phantoms
Paul Hagan University of Ulster Classification, Machine Learning, Alzheimer
Tim Hahn University of Frankfurt machine learning, Deep Learning, Autoencoder
William Hahn Florida Atlantic University DTI, Connectome, Mapping, Tractography
Thaddeus Haight UC Berkeley path analysis; amyloid; FDG-PET; longitudinal study
Guy Haiman Philips longitudinal AD MCI
Nicole Hair University of South Carolina development, longitudinal, structural MRI
Ihab Hajjar Emory Univeristy AD, hypertension, amyloid
Yaroslav Halchenko Dartmouth college Datalad
Anette Hall University of Eastern Finland Alzheimer’s disease, MCI, MRI, CSF, Computer-assisted diagnosis
Kevin Hallock Pfizer Modeling, biomarkers
Farhan Hameed Pfizer UPDRS, PD, Database Architecure, Interoperability
Hajar Hamidian Wayne State University Shape Analysis, deformation
Jenna Hammington Imperial College Amyloid, Imaging, Neuropsychometric Testing, Alzheimer's Disease, MCI
Hio-Been Han Korea Institute of Science and Technology fMRI; fcMRI; fucntional connectivity;
Dong Han Neusoft Medical Systems registration, segmentation
Xiaoxia Han NYU GWAS, modeling, prediction
yang han tongji university manifold,subnetwork
qingchang han Tsinghua University leile521
Liang Han Center for NMR Research Alzheimer's Disease,Atrophy, Distance map, 3D-skeleton
Joo Yoon Han University of Washington Statistical analysis with brain imaging data
Beomsoo Han University of Alberta Biostatistics, Bioinformatics, metabolomics
Shizhong Han The University of Iowa GWAS, heritability, sMRI, and fMRI
Duke Han USC cognition, neuroimaging
Dong-Sig Han SNU computer vision
Robert Handsaker Broad Institute copy number variation, disease association
Brenda Hanna-Pladdy Emory University School of Medicine Cognition, FDG PET, Aging
Bernard Hanseeuw Massachusetts General Hospital Striatum hippocampus
Björn Hansson Chalmers University neural network, machine learning
yang hao Sichuan University Deep Learning
jhon hao BIT segmentation
Fang Hao The University of Nottingham volume rendering, matching cubes
Clara Happ Ludwig-Maximilians-University Munich Functional Data Analysis, Functional Principal Component Analysis
Jaroslaw Harezlak Indiana University Fairbanks School of Public Health quantitative QC, numerical QC indices
Dilshan Harischandra University of Pennsylvania Protein aggregation, Abeta, Tau, TRIM
Esin Haritaoglu Polar Rain Inc. machine learning, data mining, CDS
Richard Harris University of Michigan diet,brain, pain
Breanna Harris Texas Tech University cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Brian Hart University of Minnesota School of Public Health functional connectivity longitudinal
James Hartzell University of Trento MRI, hippocampus
Danielle Harvey Unversity of California, Davis biostatistics
Tsuyoshi Hashimoto Advanced Imaging Center, Tsukuba, JAPAN resting state functional MRI, dementia, MRI, FSL
Hossein Hasooni Shahid Beheshti University of Mdical Sciences Alzheimer's Disease, Aging, Dementia, Beta Amyloid
Mehdi Hassan Air University Biomedical Image Processing, Machine Learning
Hamid Reza Hassanzadeh Georgia Institute of Tech Deep Learning, Multi-modal prediction
Oktie Hassanzadeh IBM data analytics research
Sean Hatton UCSD MRI, data harmonization
jinan hawchar Lebanese University alzheimer's disease,diagnosis,predict
Norio Hayashi Gunma prefectural college of health sciences AD, brain template, CAD
Toshihiro Hayashi University of Tokyo MRI, psychology, biomarker
Jasmeet Hayes VA Boston Healthcare System Cortical Thickness
Boris Hayete GNS Healthcare network analysis
David Haynor University of Washington principal component analysis, spatial patterning, spatial covariance
yan he Guizhou medical university MRI VBM brain network
Ping He Pfizer amyloid burden
Yao He University of Utah PET, FDG-PET, Focal AD
Huiguang He Institute of Automation, Chinese Academy of Scicences fMRI, DTI, Medical Image Processing
Qing He Emory University Disease prediction
Niels Heegaard Statens Serum Institut Biomarkers, proteomics, peptidomics
Mohamed Hefny Queen's University Medical Data Analysis, MUltisource data integration, Disease Understanding
Julius Heil Leibniz Institute for Neurobiology in Magdeburg hippocampus training platform
William Heindel Brown University biomarkers, disease progression, cognitive decline
Samuel Henderson Accera Inc APOE, ADAS-Cog, MMSE
Claudio Henriquez University of Manchester Alzheimer disease, MRI, PET, QDA, LDA, automatic diagnosis
Karl Herholz University of Manchester Alzheimer's disease, Mild cognitive impairment, 18F-FDG-PET
Haithem Hermessi Faculty of science Tunis -Tunisia Deep learning, multimodal image fusion, CNN
Monica Hernandez University of Zaragoza Computational Anatomy
ADITYA HERNOWO UNIVERSITY OF MALAYA MYELIN MAPPING
Kilian HETT Laboratoire Bordelais de recherche en informatique Machine learning, feature's fusion
Derrek Hibar Janssen R&D PET, PIB, AV45
Moncef Hidane INSA Centre Val de Loire segmentation
Satomi Higuchi Iwate Medical University fMRI
Hussein Hijazi Michigan State University Association mapping
Bruce Hillner Virginia Commonwealth University Prospective registry
Jade Hind Liverpool John Moores University Symptom Association Analysis; Depression; Delusions
florent hives CHU Purpan Toulouse FDG PET MSA SPM
Mimi Hoang Hart brain image segmentation
Zachary Hobel University of Southern California Alzheimer's Disease
John Hoffman University of Utah FDG-PET, SPM group analysis
Jeremy Hofmeister University Hospital of Geneva neuroimaging, resting state, prediction
Timothy Hohman Vanderbilt University School of Medicine Genetics, Resilience, Asymptomatic,
Daniel Holder Merck Research Laboratories Biomarkers
Robin Holmes University Hospitals Bristol Machine learning, VBM
John Hong Carnegie Mellon University Alzheimer's Disease Biomarker
zou hongliang Nanjing University of Science and Technology research
Lee Honigberg Genentech CSF pharmacodynamics
Paul Hopkins Brown University Alzheimers, SIFT, CDR
Soheil Hor University of British Columbia Machine learning, Imaging Genetics
Russ Hornbeck Wash Univ Sch Med - STL Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
Andy Horng Helen Wills Neuroscience Institute Jagust, Alzheimers, Tau
Wesley Horton Georgetown University Neuropsychiatric inventory, depression, anxiety, apathy, transition rate
Khalid Hosny Zagazig University CAD system, Feature extraction
belayat hossain uni of hyogo registering
Nazanin Hosseini Tehran University Of Medical Science Alzheimer-Mild cognitive impairment-cortical thickness-structural connectivity
Hadi Hosseini Stanford University big data, prediction
Eghbal Hosseini Massachusetts Institute of Tech. deep learning, diagnosis
zahra hosseini science and research university Deep Learning, MRI dataset, early detection
zahra hosseini SRBIAU alzheimer disease
Ehsan Hosseini Asl University of Louisville Alzheimer Detection, Deep Learning
Beibei Hou Beijing University of Posts and Telecommunications alzheimer's disease
Richard Houghton F.Hoffmann - La Roche Ltd prodromal safety
Erin Householder Washington University School of Medicine : As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
James Howlett Medical Research Council EPAD Risk Modelling
Ing-Tsung Hsiao Chang Gung University Feature Extraction; Early Diagnosis
John Hsiao National Institute on Aging usability improvement
Chih-Chin Hsu National Yang Ming Uniersity lifespan, diffusion, sex difference
chengbin Hu UNIVERSITY OF SOUTH FLORIDA Alzheimer's, Machine learning, Data mining
Jianhua Hu UT M.D. Anderson Cancer Center statistical method, high dimensional data, correlated data
Nan Hu Genentech biomarker; disease progression
Xixi Hu Indiana University brain networks, two-sample inference, time-evolving networks
Tao Hu Lanzhou University Alzheimer's disease, biomarker, brain network
Li Hu GuangDong Medical University AD
Xiaolan Hu MyGeneRecipe dementia, biomarker
Lingjing Hu Capital Medical University Texture analyze, VBM
Fei Hua Applied Biomath Alzheimer's Disease, mechanistic model, Abeta
Zhengnan Huang University of Michigan Survival Analysis
min huang scuec MRI
Chun-Chao Huang National Yang-Ming University Cognitive reserve theory; total intracranial volume, fMRI
Qi Huang the University of Sydney DTI
Michelle Huang University of North Carolina, Chapel Hill information science, neuroimaging, data organization
Marissa Huang TMUH TIRC neuropsychology, Alzheimer, dementia, aging
Peiyu Huang Zhejiang University CBF, network
Sing-Hang Huang Bioinformatics and Systems Biology Biomarkers, Alzheimer’s Disease
Shuai Huang University of Washington Multimodal analysis, system biology
Chao Huang UNC multiscale adaptive regression model shape analysis
Zhiyue Huang MRC composite
Meiyan Huang Southern Medical University association anlysis
JunMing Huang South China University of Technology MRI
Zhiwen Huang Huazhong University of Science and Technology medical image classifier,
XINGYUAN HUANG NanJing University of Science and Technology study research
Markus Hubrich Johannes Gutenberg-University Mainz Alzheimer's disease diagnosis, MCI, convolutional neural network
Michael Huestis e-Gogito LLC amyloid positive; Ruvo Center; brain health; alzheimers
Edward Huey Columbia University dementia, neuropsychiatric symptoms
Andrew Hufton Springer Nature data-peer-review metabolomics
Willem Huijbers Tilburg University methods development, data science
Sjoerd Huisman Delft University of Technology imaging genetics, gene expression, bioinformatics, biostatistics
Joe Hung Wistron Corporation Alzheimer
Naomi Hunsaker Brigham Young University diffusion tensor imaging, TRACULA, AFQ, TBSS, FreeSurfer
fostor hunt Zhejiang University machine learning, kernel method
Hans-Jürgen Huppertz Swiss Epilepsy Centre MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
Lal Hussain University of Azad Jammu and Kashmir Alzhimer's Disease, Dimentia, Brain Disorders
R. Matthew Hutchison Biogen Tau, Amyloid, functional connectivity, brain dynamics
Chloe Hutton Siemens Healthcare PET CT MR
Els Huyck Fujirebio Europe CSF Aß42
Jihye Hwang Asan medical center time analysis
JungMoon Hyun Graduate Center of City University of New York Cognition, Gray matter
Dimitris Iakovakis Aristotle University of Thessaloniki Deep leargning
Francesco Iberite Scuola di Studi Superiori Sant'Anna Machine Learing
Juan Eugenio Iglesias Massachusetts General Hospital, Harvard Medical School hippocampal subfield, segmentation
Laura Igual Muñoz University of Barcelona MRI
Tetsuya Iidaka Nagoya University, Graduate School of Medicine resting state, support vector machine
Takeshi Ikeuchi Niigata University biomarker, J-adni
John Ikhena Duke University School of Medicine MCI conversion, predicting risk, Alzheimer's disease
Toshikazu Ikuta University of Mississippi DTI; tractography; genetics
Hyung-Jun Im University of Wisconsin - Madison PET, PIB, Alzheimer's disease, dementia, AV-45
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
Nancy Ip The Hong Kong University of Science and Technology synapse, cell surface receptors, kinase
Emrah Irmak Karabuk University Image Registration, Alzheimer, Brain tumor investigation.
David Irwin University of Pennsylvania UDS, GWAS
Valeria Isella University of Milano Bicocca cognitive reserve, brain metabolism, ageing, dementia
Makoto Ishii Weill Cornell Medical College biomarkers, metabolic hormones, preclinical
Zahinoor Ismail University of Calgary neuropsychiatric symptoms, mild behavioral impairment (MBI), anxiety, MRI, PET
Ariel Israel Sheba Medical Center DREAM Big Data Challenge
Elvin Isufi Tu Delft detecting anomalies over networks
Masato Ito Osaka University non-rigid registration, deep learning
Kaori Ito Pfizer Inc disease progression
Walter Izquierdo Florida International University BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
amir jaberzadeh usc Hippocampus, thalamus, multiple sclerosis, MRI, 3DT1-weighted images
Edward Jackowiak Nutonian Alzheimer research
Eric Jackson Jackson State University Altzeimer
Jonathan Jackson Massachusetts General Hospital executive function, memory, aging, white matter
Jörn Jacobsen University of Amsterdam Computer Vision, Bag of Words, Fisher, Machine Learning
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.
Tahere Jafari marvdasht azad university BOF,Image retrieval
Kourosh Jafari-Khouzani Massachusetts General Hospital FLAIR
Akshay Kumar Jagadish EPFL correlation
Priti Jagtap PHCET College,Rasayani,India Multimodal,Neural network
William Jagust UC Berkeley PET, ROI
Joseph Jahr Molecular NeuroImaging CSF, PET, Florbetapir
Phuphiphat Jaikaew Thammasat University Tandem repeats, data analysis
Shubhankar Jain Caltech beta amyloid, MRI, PET, Alzheimer, neurodegeneration, neurons, synapses, plaques
Shubham Jain Qure.ai Deep Learning
Ayush Jaiswal USC Structural MRI, MRI, Deep Learning, Machine Learning
Akshay Jaiswal IIT Varanasi Association Analysis; Data Mining; Gene-gene Interaction; SNPs; SVM
Amine Jait Sciences and Technics Faculty Alzheimer's,machine learning
Chetan Jakkoju IIIT Hyderabad Machine learning, deep learning, researcher,
Andreas Jakobsson Lund University Deep neural networks, statistical analysis
Olga James Duke Medical Center cardiac, PET
Oliver James IBS CNIR fMRI
maedeh jamlai iut Alzheimer
Emmanuel Jammeh Plymouth Universitty Proteomic Analysis
lajavanthi janardhana UVCE sMRI images
Jinseong Jang Yonsei University Image assessment
Hyesue Jang Seoul National University Brain atrophy, Ethnicity, MRI, Aging
Jae-Won Jang Kangwon National University Hospital Visual rating scale, Brain MRI, Alzheimer's disease
Rekh Ram Janghel National Institute of Technology Raipur Alzheimer, Neural Network, Convolution
Shasvat Jawahar The Harker School ADNI, Multimodal Approach, Deep Learning, Convolutional Neural Networks
SCHIRATTI Jean-Baptiste Brain and spine Institute, Hôpital de la Pitié-Salpêtrière, Paris longitudinal, statistics, mixed effects models
Bruno Jedynak Johns Hopkins University time dependent continuous latent variable statistical model
Angela Jefferson Boston University Cognitive Performance, Aging
Dominique Jennings Biogen atrophy
Seun Jeon Montreal Neurological Institute & Hospital, McGill University reproducibility
Yong Jeong KAIST fMRI, Resting State, DMN connectivity
Charles Jester Univeristy of Pennsyvania Hospital SNPs, imaging
Ketan Jethwa University of Nottingham Basal nucleus of Meynert
Debesh Jha chosun university alzheimer disease
Chong Ji Nanjing University of Science and Technology Sparse representation,Human action recognition,Motion features
Lee Jiacheng TMMU neuro network
guo Jiajia University of Science and Technology of China deep learning,MRI,medicai image,3D-CNN
weijian jian jian liver
Huan Jiang Beijing Technology and Business University Analysis and Diagnosis, Magnetic Resonance Imaging, Alzheimer, Schizophrenia
Xiong Jiang Georgetown University MRI PET
Shan Jiang Institute of Medcal Sciences alzheimer's disease and SNP
Chunxiang Jiang Shenzhen Institutes of Advanced Technology neural activity, brain network
Huiting Jiang Lanzhou University 20160316
Du Jiao Chongqing university Image fusion
zhuqing jiao Changzhou University fMRI
Zeyu Jiao Fudan university fMRI
Juan Ramon Jimenez Alaniz Universidad Autónoma Metropolitana Iztapalapa image segmentation, pattern recognition
Adolfo Jiménez-Huete Hospital Ruber Internacional Differential diagnosis; Gray matter volumetry
Koji Jimura Keio University resting state fMRI, behavioral testing, functional connectivity
Yan Jin University of California, Los Angeles DTI
YAN JIN University of South Florida Alzheimer
Zhu Jin SUN YAT-SEN UNIVERSITY Real data analysis
Jigar Jogia Aston University brain cognition dementia
Per Johansson Fleningevägen Centrum f Byggnadsvård Alzheimer, biomarker, diagnostic, hormones
Kimberley John Birmingham City University PET/CT MRI and Alzheimers
Stian Johnsen BrainMiner Ltd. CAD, AD, Software validation
Leonard Johnson Western Michigan University Spatial Model; Robust Fixed Rank method
Sterling Johnson University of Wisconsin CSF volume, VBM, rates of atrophy
kent johnson University of New South Wales prediction
Sterling Johnson University of Wisconsin-Madison tau, amyloid, pre symptomatic
Jane Johnston Neurotez Inc Leptin, clinical trial, Alzheimer's
Stephen Johnston Swansea University Prosopagnosia, VBM, MRI
Alireza Jomeiri Azad university, Marand branch Alzheimer's disease, PET
Katherine Jonas University of Iowa RDoC, latent variable models, information theory
Richard Jones Brown University testing, practice effects
Dorothy Jones-Davis Foundation for NIH (FNIH) Biomarkers Consortium, PPSB, FNIH
Linus Jönsson H. Lundbeck A/S Economic evaluation, disease progression
Jane Joseph Medical University of South Carolina rsfMRI, graph theory, machine learning
Himanshu Joshi National Institute of Mental Health and Neurosciences ApoE Neuroimaging
Shantanu Joshi LONI UCLA cortical distributions
Aniket Joshi Novartis Institute for Biomedical Research test-retest, smallest detectable difference
Abhinay Joshi Avid Radio-pharmaceuticals, Inc. flrobetapir
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
li jun University of Shanghai for Science and Technology DTI connectome
Youngjin Jung Dongseo University ANN, CNN, PET, Dynamic PET.
Gong Junhui Hunan University rest fMRI
He Junjun SJTU MRI CT PET image synthesis
Viv Junker Sheffield Institute for Translational Neuroscience Overview, Resources, AD, ALS, PArkinsons', MND
ding junwei Shanghai Jiaotong university AD classification
singaraju jyothi sri padmavati Mahila University Neural networks, Image analysis, deep learning, alzhimer's decease
monika jyotiyana central university of rajasthan India Alzheimer, parkinson's and other neurodegenerative disease
SARTHAJ K National Institute of Technology, Calicut MRI of brain
NIMISHA K Hindusthan college of engineering and technology AD, neural networks size shape texture
Mouloud Kachouane USTHB Alzhaimer dMRI DTI
yothin kaewaramsri KMITL brain MRI, Alzheimer Disease
Li Kaicheng Zhejiang University 930606CC
Marcus Kaiser Newcastle University connectome analysis, computer simulations, network dynamics
Lisa Kakinami Concordia University cognition; longitudinal; brain atrophy
ahmed kaky Liverpool John Moores University health informatics; headache; machine learning; classification;
Sanjay Kalra University of Alberta texture analysis
Hye Jin Kam Samsung Advanced Institute of Technology prediction, longitudinal progression, network
NUR SHAZWANI KAMARUDIN Arizona State University ADNI2, Diffusion Tensor Imaging(DTI)
Josh Kaminker Genentech clinical trial
Benjamin Kandel University of Pennsylvania Linear regression; MCI; prediction
Nagaendran Kandiah National Neuroscience Institute dementia, stroke, small vessel
Tomoki Kaneko shinshu university visual rating system
Ju Hee Kang Inha University A-beta42, tau, phospho-tau
Hakmook Kang Vanderbilt University functional connectivity, spatio-temporal model
Jian Kang Emory University Copula, Longitudinal Imaging Analysis
YUN SEOK KANG The Ohio State University Post mortem human surrogate
Pavan Kankar PDPM-Indian Institute of Information Technology, Design and Manufacturing, Jabal Segmentation, feature extraction
Anuraag Kansal Evidera, Inc. simulation, model, clinical trial
Mohammed Kaouache Prince Sultan University Alzheimer, survival analysis, misclassification
Akhil Karazhma Kottaram The University of Melbourne dynamic functional connectivity, resting state networks, defaultmode network,
Faizan Karim Comsats Deep Learning.
Nicki Karimi-Mostowfi University of Southern California Growth factors, inflammation agent
mahboobe karjoo science and research university fmri
Daniel Karlin Pfizer, Inc. Data, Transmart
Juliana Karp University of Pennsylvania hippocampus
Nick Kartsonis NCSR Demokritos dti mri
Naama Karu Wishart lab / TMIC metabolomics
Jaya Kasa Stylus Tech Machine Learning.
Keyvan Kasiri University of Waterloo Segmentation, Atlas, MRI
Audrey Katako The University of Manitoba Alzheimer's Disease imaging
Ryo Kato Keio University missing data analysis, multiple imputation
Panagiotis Katsonis Baylor College of Medicine Evolutionary Trace
John Kauwe Brigham Young University mitochondrial copy number, Alzhiemer's disease, genetics
Atsushi Kawaguchi Saga University network analysis, multimodal, prediction
Samaneh Kazemi Robarts Research Institute Alzheimer disease, Magnetic Resonance Imaging
yosra kazemi Brock University Deep learning; Alzheimer’s Disease; fMRI
Rijan kc National college of Engineering 12345
Andrey Kechin Institute of Chemical Biology and Fundamental Medicine BRCA, breast cancer, NGS, ovarian cancer
Vindya Keeragala Faculty of Engineering,University of Peradeniya,Sri Lanka AD, MCI, Brain MRI analysis
Joram Keijser Erasmus MC Transfer learning; Segmentation
Thomas Kelleher Bristol-Myers Squibb Co exploratory analyses, clinical trial endpoints
David Keller Pfizer CART, predictive models, cognition
Frauke Kellner-Weldon University norm data, quality control,
Richard Kennedy University of Alabama-Birmingham Neuroimaging, genetics, discordant cognitive function
Oliver Kennion Newcastle University biomarkers, Alzheimer's disease, progression
Daniel Kerr Laboratory of Neuroscience - LIM-27 genetic, biomarkers, cognition
Carl Kesselman University of Southern California data integation
Max Keuken UvA comparison
Farzaneh Keyvanfard Amirkabir University of Technology fMRI, DTI, sMRI, connectivity
April Khademi University of Guelph brain segmentation, white matter lesions
Moein Khajehnejad Sharif University of Technology Alzheimer - Classification - machine learning
Wasim Khan King's College London, Institute of Psychiatry AD, MCI, MRI, CSF
Farhan Khan IIT Delhi Machine learning
tabrej khan king abdulaziz university genome wide data
Hikmat Khan COMSATS Institute of information Technology, Islamabad researcher,dataset
Samreen Khan Information Technology University Alzheimer's disease, segmentation, fMRI, functional connectivity
Anzalee Khan Neurocog Trials Differential Item Functioning, Item Response Analysis, Cognitive Change
Hikmat Khan COMSATS Institute of information Technology, Islamabad Parkinson,alzheimer
Sina Khanmohammadi Binghamton University Network Analysis; Functional Brain Connectivity
Tatiana Khasanova Rancho Biosciences disease progression, neuroinflammation, biomarkers
Ali Khazaee Babol University of Technology resting-state fmri
Lenny Khazan George W. Hewlett High School machine learning, neural networks, SNP
Ferath Kherif LREN CHUV biological signature of diseases
aym khl université de montréal Alzheimer, indexation des images par le contenu, classification, IRM, ITD
Mohamed Salah KHlif Florey Institute - Melbourne stroke AD hippocampus
Mizanur Khondoker King's College London Machine Learning, Statististical Genetics, Imaging QTL
Sok Kean Khoo Grand Valley State University biomarker
Reza Khosrowabadi Institute for Cognitive and Brain Sciences Graph theory, Functional connectivity, Genetic marker
Kiran Khurshid St. John's University Item Response Theory, Measurement Invariance, Biomarkers, Longitudinal Analyses
reihaneh kianfard najaf abad univercity MRI.AD
Erman Kibritoglu Bogazici University Blind Deconvolution
Steven Kiddle King's College London Biomarkers
Masashi Kikuchi MSD K.K. cognitive measurements progression
Ron Killiany Boston University School of Medicine regions of interest, neocortex, hippocampus, entorhinal cortex
Hyunwoo Kim University of Wisconsin-Madison AD. Statistical analysis. Visual biomarker. Disease progression pattern
Jongin Kim Gwangju Institute of Science and Technology deep learning, pattern recognition, Boltzmann machine
Nakyoung Kim MIDAS IT freesurfer
JEE WOOK KIM Hallym University Dongtan Sacred Hospital subjective memory complaint, Alzheimer’s disease, mild cognitive impairment
YEO JIN KIM Samsung medical center APOE2, amyloid deposition
Juhyeon Kim KISTI Machine Learning, MRI, Predict
Jaeyeol Kim Gachon University Deep learning
Sunhee Kim Seoul National University dementia, ADNI
Joseph Kim Seoul National University Deep Learning, multimodal registration
Jeongchul Kim Wake Forest University Baptist Medical Center Brain imaging, Biomechanic, Deformaiton, MCI/AD
Mijung KIM Ghent University Alzheimer disease analysis
Jeongsik Kim Samsung Medical Center Cortical thickness, FreeSurfer
Jongin Kim Kwangju Institute of Science and Technology deep learning, pattern recognition
Taehyun Kim Seoul University Bundang Hospital cognition; hyperintensity ; difference ; connectivity
Jeonghun Kim Korea University neuroimage
Seonjik Kim catholic university of Daegu PET, brain image processing
Seong Yoon Kim Asan Medical Center MCI, Cortical thickness, US vs. Korean
Younghoon Kim Korea University Machine Learning, Feature Engineering, Deep Learning
Hyeryung Kim Dong-A Socio Holdings Co. Ltd. Drug repositioning
Jong Hun Kim Samsung medical center GWAS, biomarker, prediction
bohyun kim hanyang univ T1 longitudianl analysis
Lisle Kingery CogState neuropsychology
Jefferson Kinney University of Nevada Las Vegas minimotif, bioinformatics
Kirsi Kinnunen UCL Institute of Neurology longitudinal, MRI, DTI
Marie Kinomes Ateneo de Manila University Alzheimer's MRI
Jessica Kirkland Caldwell Cleveland Clinic Center for Brain Health hippocampus, memory, resting state, gender, amyloid
brock kirwan Brigham Young University hippocampus; MRI
Mark Kirzon University of Southern California USC, Raghavendra, Kirzon,
kitty kitty College of Information Engineering DARTEL AD VBM
David Kiviat University of Florida deep learning, alzheimers
Vera Kiyasova Institute de Recherches Internationales Servier MMSE, ADAS Cog, NPI, ADNI vs French Cohort
Richard Klein Georgetown aging; roi
Jan Klein Fraunhofer MEVIS atrophy
Alison Klein Johns Hopkins School of Medicine Control, Familial Pancreatic Cancer
Gregory Klein Synarc, Inc amyloid, SUVR, ROI
Richard Klein Georgetown training
Aaron Kleinman 23andMe parkinsons alzheimers
Mitchel Kling University of Pennsylvania School of Medicine Stress, depression, disease biomarkers, disease progression biomarkers
Joern Klinger University of Potsdam machine learning, genomics, patient stratification
Mustafa Kocaturk Bogazici University Adaptive Methods Alzhimer Disease Ensemble Classifier
Loren Koenig NYU School of Medicine cerebral metabolic rate, glucose metabolism, amyloid-beta pathology
Natalie Koh University of Washington alzheimer's, quality control
Jens Erik Köhler Freelance Convolutional; Neural Networks; Image Processing
Juha Koikkalainen VTT Technical Research Centre of Finland spatial normalization
Marisa Koini Medical University of Graz AD, cognition, functional and structural network changes
Dehan Kong University of North Carolina Multivariate Pattern Analysis, Survival Models, MRI
Xiangzhen Kong Beijing Normal University practice
Xiang-Zhen Kong Beijing Normal University replication analysis
Deguang Kong Samsung Research America sparsity
Vincent Kong Douglas Mental Health University Institute hippocampal volume, amyloid, cortical thickness
Linglong Kong University of Alberta Alzheimer's Disease Neuroimaging Initiative, Corpus callosum, Fractional Anisotr
Ender Konukoglu ETH Zurich method development, machine learning, patio-temporal models
Daniel Kopeinigg Private research group Dementia,deep learning, MCI,
Krzysztof Kopera Intelligent Services sp. z o.o. AI; zygomatic bone; injury
Simon Koppers RWTH Aachen University dMRI, Deep Learning
Matheus Korb Universidade Federal de São Carlos Hippocampus Segmentation, BIPGroup, Alzheimer Disease
Panagiotis Korfiatis Mayo Clinic Deep Learning, Skull stripping, Segmentation
Igor Korolev Michigan State University ad, mci, pet, mri
Sergey Korolev Institute for Information Transmission Problems Autoencoder, CNN
Valeriy Korostyshevskiy Georgetown University APOE4, predictive modeling, imaging
Heena Koshiya government engineering collage, gandhinagar diagnosis, CTscan, MRI
James Kost Merck & Co., Inc. Parameter Estimates, Cognition
Vikas Kotari George Mason University Image Processing
Karan Kothari Rochester Institute of Technology topic modeling, classification
Ashwin Kotwaliwale Optra Health computational biology, risk assessment
Danai Koutra University of Michigan summarization, graph mining
Ivan Koychev University of Oxford Mild AD/MCI; PET and CSF tau and amyloid; Cognitive progression; Age effects
kruthika kr Acharya institute of technology Brain print
Tillmann Krahnke Cogitars GmbH ADAScog, ADAScog variants
Matthew Krause McGill deep learning, analysis, replication
Matt Kraybill San Francisco VA Medical Center Neuropsychology
Martin Kriebel NMI Reutlingen WGS, Neuroinflammation, TLR
hari krishna m college of engineerin,thrissur machine learning, classification, cost,mild cognitive impairment (MCI)
Stephan Krohn Freie Universitaet Berlin fractal dimension; computional image analysis; tissue complexity measures
Frithjof Kruggel UC Irvine DTI
xiaoying kuang banner health ADNI
Amy Kuceyeski Weill Cornell Medical College computational analysis, brain connectivity network, prediction of AD progression
Donald Kuhl Lawson Research Institute ADNI-GO
SANTOSH KUMAR NIT ROURKELA alzhemers disease.
A KUMAR JIST diagonise alzemiers prediction
Saurabh Kumar Birla Institute of Technology and Science Alzheimer's disease, Icahn School of Medicine
Ambar Kumar Dronacharya College Of Engineering Image Steganography, PSNR (Peak signal -to -noise ratio) value, MSE (Mean Squar
Ashwani Kumar Jaypee University of Information Technology dementia, alzheimer’s disease, database, Image, Biomarkers
Dinesh Kumar University of California Davis metabolomics, text mining, machine learning
Kuldeep Kumar Ecole de technologie superieure Co-clustering, dictionary learning, classification
SAMBATH KUMAR PONDICHERRY UNIVERSITY MRI,fMRI
Janaka Kumarasinghe NTU, Singapore FMRI based disorder detection
Suprateek Kundu Emory University Brain networks; Imaging genetics
Te-Han Kung National Cheng Kung University, Taiwan Academic Research
Phillip Kuo University of Arizona PET, amyloid, software analysis
Li-Wei Kuo National Health Research Institutes Graph-theoretical analysis, deep learning
USHA Kuppe Channappa BMS college of engineering Alzheimer, Mild cognitive impairment ,
ELMY KURIAKOSE ADI SHANKARA INSTITUTE OF ENGINEERING AND TECHNOLOGY 3D-LBP,MRI,MCI
P Kurian Howard University tau, neurofibrillary tangle
Kenneth Kwan IXICO MRI
Arkadiusz Kwasigroch Gdansk University of Technology neural network, deep learning
Roland Kwitt University of Salzburg TDA;
Sunghyon Kyeong Yonsei University College of Medicine subtype identification, risk factors of dementia, topological data analysis
Claire La Fleur University of Virginia cognitive dedifferentiation, aging, individual differences
Supriyadi La Wungo Universitas Hasanuddin alzheimer disease, data mining
Tomas Labbe Pontificia Universidad Católica de Chile functional disorganization, structural change
Miguel Labrador ESCUELA TÉCNICA DE INGENIERÍA INFORMÁTICA AD, MRI, GENETIC ANALYSIS.
Miguel Ángel Labrador Espinosa ESCUELA TÉCNICA DE INGENIERÍA INFORMÁTICA AD, MRI, GENETIC ANALYSIS.
Daniel Lacombe Florida Atlantic University deep learning, sMRI, diagnosis
Geet Lahoti Georgia Tech Biostatistics
Catherine Lai Brearley School Alzheimer's, genome-wide association studies
Ying Liang Lai Taipei Medical University rsfMRI, MT, DMN, Dementia
Dongbing Lai Indiana University School of Medicine genotyping QC
Anita Lakatos University of California, Irvine genome, mitochondria, PET images
Ramesh Lama Chosun Unversity Alzheimer's disease
Ramesh Lama Chosun Unversity Alzheimer's disease, MRI, biomarkers
Christian Lambert St George's University of London Segmentations; Classification; Vascular Dementia; Parkinson's Disease Dementia
Tian Lan University of Electronic Science and Technology of China Alzheimer's Disease, Deep Learning
Susan Landau UC Berkeley PET FDG ROI
Bennett Landman Vanderbilt labeling, multi-atlas
victor landre NTNU viewing history
Elizabeth Lane Vanderbilt University Medical Center Vascular risk, biomarkers
Catharina Lange Charité - Universitätsmedizin Berlin multi-modal, dementia, MCI
Caleb Lareau Harvard University inflammatory, causal, intermediate
Katelyn Larson University of Calgary Harmonized hippocampal protocol
Ghazanfar Latif Prince Mohammad University Alzheimer
zh lawliet Chongqing University Medical,deep learning
Emma Lawrence Imperial College Mathematics, Models, statistics, Database Simulation,
Anca Lazar University of Medicine and Pharmacy Grigore T. Popa wavelet
Matthieu Le Arterys machine learning segmentation
Thien Le Michigan State University Variable Selection, ADNI data
Ngan Le Carnegie Mellon University Segmentation, Classification
Yann Le Guen CEA imaging genetic, heritability, cortical structures, sulci, sulcal pits
Stephanie Le Scouiller Roche Products Ltd Clinical meaningfulness
Stephanos Leandrou European University Cyprus Alzheimer’s disease; Mild Cognitive Impairment; quantitative MRI; temporal lobe;
Christopher Leatherday Curtin University Alzheimer's, Hippocampal Mask, Statistical Parametric Mapping, FDG-PET, MRI
Mackenzie Leavitt Cleveland Clinic MCI, RSFMRI, ADNI
Christina Ledbetter LSUHSC Shreveport Amyloid PD
Hyoung-gon Lee Case Western Reserve University leptin, CSF, MCI
Jaehong Lee Gachon Deep Learning
Wook Lee Department of Computer Science and Engineering, Inha University TBSS, DTI, AD
Kuo-Jung Lee NCKU Bayesian, fMRI, MCMC, Spatio-Temporal, Alzheimer's disease
Jaeho Lee Blank Machine Learning, Sector Vector Machine, Alzhemiers
Subin Lee Seoul National University atrophy; Alzheimer's disease; MCI
Chonho Lee National University of Singapore deep learning
Suzee Lee UCSF frontotemporal dementia
Peng Jung Lee National Cheng Kung University Cloud Computing,AD,deep learning
Cheng-Hsien Lee National Cheng Kung University thesis
Sang-gil Lee Seoul National University deep learning, multimodal data
Joel Lee VA Medical Ceneter dementia, anterior cingulate cortex, age associated cognitive decline,
Chung Keun Lee Department of Computer Science and Engineering, Inha University Bclab
Gyungtae Lee MIDASIT cortical reconstruction
Mi Ri Lee NYU GSAS/NYULMC Dementia, Pregnancy
Ilgu Lee Pactera Alzheimer
seonjoo lee Columbia University statistics, longitudinal data analysis
Song-Ting Lee National Cheng Kung University Texture analysis,Alzheimer disease,Image processing
Dongyoung Lee Seoul National University Hospital Amyloid, APOE e4, cerebral glucose metabolism, brain network
CHING-HAN LEE USC Machine Learning
Hengtong Lee Harbin Institute of Technology Magnetic Resonance Fingerprinting, Alzheimer disease
qixiang Lee GDUT Machine learning
Catherine Lee Harvard School of Public Health survival analysis, left truncation, time-dependent covariates, cox model
Hyekyoung Lee Seoul National University Brain network, persistent homology, hole, module
Iliya Lefterov University of Pittsburgh APOE; transcriptional control, mouse model of AD, next generation sequencing, ne
charlie leger York University cortical, subcortical grey matter volume
Hongxing Lei Beijing Institute of Genomics, Chinese Academy of Sciences diagnosis
Shi Lei Tsinghua University Image registration, connectivity
B. Lei Shenzhen University classification
Haoyun Lei University of Pittsburgh schizophernia
Tze Yun Leong National University of Singapore diagnosis, intelligent decision support
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
Alan Lerner Case Western reserve University hippocampus, apo e, AD
Kent Leslie Amylyx Pharmaceuticals Stratification, Biomarkers, End points, Amyloid, Inflammation, Drug Therapy
Yuk Yee Leung UPENN biomarker study
Shuyu Leung Sun Yat-sen University research
Hoi-Chung Leung Stony Brook University Parkinson's disease, Alzheimer's disease, biomarkers
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 Brain segmentation
gidon levakov Ben Gurion University Deep lerning
Abraham Levine Emerald Logic Mild Cognitive Impairement, Alzheimers, Diagnostic Factors, Disease Progression
yi li NYU School of Medicine AD, Amyloid, TBI, TAU
Tianhong Li Tsinguha University white matter, classification
wei li Indiana University APOE4, Diabetes, Alzheimer' disease
xiaofeng Li the second affiliated hospital of Chongqing Medical University cognitive impairment, brain atrophy, enlargement of ventricle
Yang Li Johns Hopkins University pulsed ASL
Yang Li School of Automation Science and Electrical Engineering, fMRI, EEG, brain connectivity
Yongming Li chongqing university alzheimer's disease MR image
Tieqiang Li University College London Topological Data Analysis
xiantao li Huashan Hospital MCI memory
Yihan (Jessie) Li Genomics Ltd MudChuk2!
Xiangrui Li The Ohio State University sMRI VBM
Yan Li Wayne State University Alzheimer’s disease, feature learning
Zhi Li Northwest University research
Rui Li TUM PET for Alzheimer
Fuhai Li Houston Methodist Hospital driver mutation network, signaling pathway, drug discovery
Xing Li UQ medical image processing
Xuping Li Houston Methodist Research Institute Alzheimer disease, GWAS, etiology
zhenzhen li Henan University Apply for Access to Data
Jinchao Li UCLA graphical models
YAYU LI Shenzhen Institutes of Advanced Technology Chinese Academy of Science Alzheimer's disease MRI
YU Li UQ image
Rongjian Li Old Dominion University image segmentation
Wen-Xing Li Kunming Institute of Zoology, Chinese Academy of Sciences Alzheimer's Disease Neuroimaging Initiative (ADNI)
Muwei Li Sichuan University AD classification
Jialu Li Beijing Institute of Technology distance-based regression
Yingjie Li Michigan State University Predicting, MCI, AD
Wenjun Li Medical College of Wisconsin Alzherimer's disease, depression, mild cognitive impairment, biomarkers
xiaojie li Chengdu University of Information Technology Medical analysis
Shuyang Li UC Davis cognitive decline, pathology, Alzheimer's Disease
Guangyu Li University of Southern California Deep Learning
Yupeng Li Shanghai University MCI,AD
Yu Li macquarie university ageing, resting-state
Tao Li Chinese Acadame of Science classification
Xuan Li Southeast Univ. MVPA, feature extraction, Alzheimer's disease
CHUNFEI LI Florida International University Alzheimer’s Disease Big Data DREAM Challenge
Xinzhong Li Plymouth University Biomarker, AD, Machine Learning
Xing Li ITEE MRI image
Junning Li Keck School of Medicine of USC registration, atlas
XW LI BeiHang University hippocampus segmentation
Xinyi Li Sichuan University research,Alzheimer's disease,MCI
Yi-Ju Li Duke University Medical Center Biomarker, genetics association, multi-state method, cognitive decline
Yaqing Li Qingdao University α-synuclein GWAS SNP
Chenxi Li Michigan State University structural MRI, fMRI, ICA, survival analysis, high dimensional feature selection
Xingfeng Li University of Nottingham fmri
Qingqin Li Janssen Research & Development, LLC GWAS WGS
XW LI BeiHang University hippocampus
Yi Li NYU school of medicine FDG-PET PIB-PET MRI
Nannan Li Beihang University synthesize CT
Jiewei Li HKU fMRI, MCI, AD
Tengfei Li MD.Anderson Cancer Center neuroimaging, Alzheimer's Disease
Yeshu Li BUAA flow, multi-atlas, hippocampus, segmentation
Liubo Li The Ohio State University functional pca
Chawn Li Hangzhou Normal University MVPA
Huijie Li Institute of Psychology, Chinese Academy of Sciences functional connectivity, mild cognitive impairment, Alzheimers' disease
JIAN LIAN shandong normal univeristy multi-atlas segmentation
Chen Liang DLMU Data Mining, Brain Patter, fMRI
Lan Liang Shanghai Jiao Tong University Alzheimer's disease,CT,MRI
Jingjing Liang Case Western Reserve University Alzheimer's disease, multiple network analysis
Ying Liang Capital Medical University APOE4; defualt mode network
Shengxiang Liang Zhengzhou University forecast
Xiaoyun Liang Florey Institute of Neuroscience and Mental Health Functional connectivity, machine learning, classification
xia liang Harbin Institute of Technology striatum, MCI, AD, genome-wide SNP, grey matter volume, functional connectivity
Shengxiang Liang Institute of High Energy Physics, Chinese Academy of Sciences forecast
Nanying Liang Institute for Infocomm Research medical data, genetics data, machine learning, Alzheimer disease
Sofia Liberman Technion diagnosis, dementia
Allan Licudan Eastern Virginia Medical School vMRI, AD, MCI, visual tracking
Sergio Liébana Universidad Politécnica de Madrid Biomarkers, Segmentation, hypocampus, Alzheimer
Hilkka Liedes VTT Technical Research Centre of Finland Ltd Alzheimer's disease, MCI, TBI, machine learning, multivariate, MRI
Yen Ying Lim The University of Melbourne brain derived neurotrophic factor; apolipoprotein E; amyloid; Alzheimers disease
Wee Keong Lim Dawson College MRI, brain disease progression, predictive model
Yenching Lin NCTU Alzheimer
Chien-Tong Lin National Tsing-Hua University Sparse group variable selection, hierarchical LASSO, elastic net
Katherine Lin Northwestern University SHBG, MCI, gender differences, hormones, ApoE4
Ming Lin University of Michigan Subgroup Detection, Trajectory Clustering, MCI
Ai-Ling Lin University of Kentucky arterial spin labelling, amyloid-beta
W.M Lin Fuzhou University deep learning
LIN LIN University polytechnic of madrid hippocampal marker
Shaowen Lin Guangdong Univerity of technology data mining
Liyan Lin Southern Medical University MR-CT image pairs,academic research
Olof Lindberg Karoliska institute brain atrophy
Paul Linesch Cedars-Sinai Medical Center Alzheimer's Disease, Parkinson's Disease, Lewy Body Disorder
Kristin Linn University of Pennsylvania segmentation, label fusion, hippocampus
Christoph Lippert Human Longevity, Inc. machine learning
Florian Lipsmeier Roche Diagnostics GmbH biomarker discovery, biostatistics, EMIF
Graham Little University of Alberta Machine Learning, Predictive Modelling, Alzheimer's Diagnosis
Chia-Shang Liu University of Southern California fMRI, connectivity, cognition
Jia Liu Ludwig-Maximilians-University Posterior cortical atrophy, biomarkers, neuropsychology
Han Liu Princeton University graphical model, connectivity, principal component, nonparametric
Chin-Fu Liu Johns Hopkins University subcortical
Yong Liu Institute of Automation, Chinese Academy of Sciences Brain network, Imaging biomarker
richann liu Pfizer Inc. Meta-analysis, PLS, PCR, MCI, AD
Tao Liu University of Technology, Sydney cortical folding, Alzheimer’s disease, longitudinal
Hao Chen Liu China Pharmaceutical University disease progression model metabolic networks
Dan Liu Xi'an Institute of Posts and Telecommunications classification
Xiaoli Liu Northeastern University prediction
zhaowen liu fudan brain
Qiao Liu City Univerisity of New York Non coding regions mutation
Jundong Liu Ohio University AD, MCI, Shape, Subcoritcal, MRI
Weixiang Liu Shenzhen University machine learning new algorithm
Yan Liu University of Chinese Academy of Sciences MRI, AD, image processing, feature extraction
Xingyun LIU Tianjin Medical University General Hospital Alzheimer's disease; frontotemporal dementia; functional connectivity; functiona
Ying Liu Medical College of Wisconsin MRI Analysis, Image Denoising
Chien-Liang Liu National Chiao Tung University Alzheimer’s Disease, Convolutional Neural Networks, Prediction
ke liu Beijing Normal University 123456789
Xueqing Liu Columbia University fMRI simulator
Ethan Liu Oregon State University Dementia, program, early detection, visual learning
Sidong Liu University of Sydney Image Analysis and Retrieval
Tianming Liu Univ. of Georgia cortical thickness
Xiuwen Liu Florida State University Computer Vision, Shape Analysis
ning liu Beijing University of Technology multi-modalities High accuracy
Jin Liu Central South University SNP data, MRI, fMRI
MAN-YUN LIU Taipei Medical University biomarkers;machine learning;early detection;Alzheimer’s disease
Dongbo Liu Sichuan University 3D CNN fMRI AD
Gabriel Lizarraga Florida International University svm, signal processing
JEROME LLIDO INSERM Magnetic resonance imaging, Alzheimer disease, Mild cognitive impairment
Iryna Lobach UCSF genetics, imaging
Kelly Lohr Brigham and Womens Hospital Alzheimer's disease, aging,
Hoi Kei Lon AbbVie, Inc Disease progression, biomarkers, imaging
Kashif Javed Lone University of Azad Jammu and Kashmir machine learning, dimentionality reduction, AD, ensemble methods
Kashif Javed Lone University of Azad Jammu & Kashmir Alzheimer’s Disease, Dementia, PET
Xiaojing Long Virginia tech longitudinal analysis, pathological regions, AD
ziyi long Dongzhimeng Hospital MRI prognosis
Guadalupe Lopez UNIVERSIDAD AUTONOMA METROPOLITANA SVM, ANN'S
Marco Lorenzi UCL biomarker, imaging-genetics, spatio-temporal modeling, diagnosis, clinical trial
Marco Lorenzi INRIA Sophia Antipolis biomarker, imaging-genetics, spatio-temporal modeling, diagnosis, clinical trial
Eyal Lotan New York University NPH Dementia cognitive impairment
Gregory Louie Duke University Metabolomics, Computational Network Models
Maxime Louis UPMC LDDMM, machine learning, amyloid protein.
Andreas Loukas Epfl Graph signal processing, connectomics, neuro degeneration
Deborah Lowe Texas A&M University factor analysis, structural equation modeling
Lijun Lu Southern Medical University PET
Pascal LU Brain and Spine Institute Genomics, Neuroimaging, machine learning
Zixiang Lu Nanjing University of Aeronautics and Astronautics brain network analysis; feature extraction; classfication;
zheshen lu Yangzhou University Data mining
Patty Lu N/A deep learning machine analytics
Qing Lu Michigan State University non-parametric method; functional data analysis
Bo Lu Harvard University GWAS
Bo Lu Harvard University gene SNPS drug interaction
Chia-Feng Lu Taipei Medical University radiogenomics, image biomarkers, early diagnosis, prognosis
Joseph Lucas Duke University alzheimers disease, metabolomics
Yadnyesh Luktuke Delft University of Technology Machine Learning, Representation Learning
Wei Luo South China Agricultural University feature learning, image classification
weidong Luo Cortechs labs inc. AD
Sheng Luo The University of Texas at Houston Longitudinal data; item response theory; Bayesian; MCMC
Xiao Luo Zhejiang University, China fMRI/Mild Cognitive Impairment/Behavior data/Cognition
suhuai luo The University of Newcastle Alzheimer’s disease, dementia assessment, machine learning
Eugenia Luo Case Western Reserve University School of Medicine nucleus accumbens, depression
Shaojun Luo City College of New York SNP AD fMRI
Shan Luo USC insulin sensitivity, cognitive impairment, hippocampus, Alzheimer Disease
MINNAN LUO Xi'an Jiaotong University Multidedia, multi-view, multi-task
Dickson Luong Seven Bridges Genomics data analysis
Michelle Lupton QIMR Berghofer Research Institute Alzheimer's disease; rare sequence variants; exome sequence data; replication
Michael Lutz Duke University School of Medicine regulatory variants, gene expression changes in Alzheimer's disease, genetics
Eric Lv SJTU image process
Juan Lyu Harbin Engineering University Restrict Beltzmann Machine Alzheimer's disease
Angshul M Indraprastha Institute of Information Technology MRI reconsstruction
Radha M R PESIT AD
Dinesh M.S. PES College Of Engineering Student Project
li ma PanoTech Inc. image retrieval
Yu Ma NingXia university multi-atlas sementattion research
Xiangyu Ma CCMU Aging, Neurodegenerative Diseases, MRI
Daniel MacArthur Broad Institute genome, aggregation, database
Paul Macey UCLA sleep; autonomic; limbic
Eric Mach Iowa State University Resting State fMRI
Imola MacPhee USC - Neuroscience Graduate Program PHEWAS GWAS GENES FMRI
Mahboubeh Madadi Louisiana Tech University Classification, Clustering
Bharat Madan Old Dominion Univ machine learning, supervised learning, MRI, Image analysispattern classification
Christopher Madan Boston College brain morphology; fractal dimensionality; healthy aging
Giovanny Madero UN Science , Models , Analytics
Radhika Madhavan General Electric Deep learning, resting state connectivity, graph based analysis
Tara Madhyastha University of Washington aging, functional connectivity
nobuhisa MAENO Aichi Shukutoku University amyloid imaging
Tadej Magajna Faculty of Computer and Information Science, Ljubljana neurological data
Hamzah Magsood Virginina Commonwealth university simulation
Ralph Maguire Novartis AG imaging sample size biomarker
LINDA MAH University of Toronto anxiety, mild cognitive impairment, atrophy, white matter integrity
Shirin Mahdavi Amirkabir University of Technology Human head modeling
Asef Mahdavi Azad University MRI data, EEG, data fusion
Hentati mahmoud ENIS Protect
Abeer Mahmoud Ain Shams Unv machine learning , KDD
Kariman Mahmoud Faculty of Engineering Cairo University CBIR
ahmad mahmoudi iranin system non-local PCA
Siamak Mahmoudian Dehkordi North Carolina State University NA
Monika Mahor ABVIIITM Alzheimer, vocal parameters
Taleen Mahseredjian USC Remitted geriatric depression, cortical thickness
Rui Maia IST data quality accessing cleaning preprocessing
Norihide Maikusa National Center Hospital of Neurology and Psychiatry MRI
Taps Maiti Michigan State university Dynamic Bayesian Network, precision matrix, prediction of severity
Taps Maiti Michigan State University Bayesian, network, functional connectivity, precision, transition
Carlo Maj University of Brescia Gene Association Study, Bioinformatics, Systems Biology
Pradipta Maji Indian Statistical Institute Medical Imaging, Computational Biology and Bioinformatics
laouchedi makhlouf Central Military Hospital, Algeria and Algiers University DTI, mode, ILF, SLF, CC
Satoshi Makino Tohoku University imputation, APOE
Stefan Makrievski Michigan State University amyloid, imaging, CSF, Tau, metabolism, biospecimin, longitudinal
Hernan Makse City College of New York Complex Network Theory; Network Hubs; Alzheimer
archana malagi Anna University, Chennai, India micro structural, alzheimer, language pathway
John Malamon University of Pennsylvania PET image processing amyloid beta Alzheimers disease
Irina Malashenkova NATIONAL RESEARCH CENTRE "KURCHATOV INSTITUTE" brain disease, cognitive disorder, biomarkers, Alzheimer’s disease, cytokines
Zach Malchano Cognito Therapeutics, Inc. amyloid imaging, region specific, biomarker enrichment, imaging agents
Somayeh Maleki-Balajoo IPM AD
Sadia Malik University of Karachi Image Processing, Swarm Optimization, Neural Networks
tamoor malik university of gujrat fMRI dataset for Alzheimer diseases
Abhirup Mallik University of Minnesota statistics fmri learning
Tarja Malm University of Eastern Finland miRNA microglia phagocytosis
Charles Malpas The University of Melbourne CSF, biomarkers, cortical thickness
Norberto Malpica Universidad Rey Juan Carlos super-rsolution, presprocessing, classification, biomarker
Meenakshi malviya Christ University down syndrome
A Mamandi SSO ADLIB
Abinash Manandhar Tribhuvan University, Institute of Engineering DEmentia, ANN, KNN
Alekhya Mandali IISC fMRI, AD
Prajakta Mane PVG Dementia
Petru Manescu NIST data mining
Emily Manning University College London brain volumes
Mohamed Manoufali The University of Queensland EM imaging, Sensors
Paul Manser Genentech clinical trials, prognostic factors
Dante Mantini KU Leuven functional connectivity
Ninad Mantri ICON Medical Imaging Brain volume analysis over repeated measures.
Nikolay Manyakov Janssen R&D biomarkers
DİLEK MANZAK Sakarya University Alzhemier, image process, SVM
Shuai Mao Harbin institute of technology Shen zhen graduate school AD MCI
tian maoyu Beijing institute of university Deep learning,
Jessica Mar Albert Einstein College of Medicine functional variants, gender, disease-related pathways
Kenneth Maravilla University of Washington segmentation
Simonetti Marco ASP CZ tractography, segmentation, alzheimer, ftd, neurogenetics
Richard Margolin Janssen Alzheimer Immunotherapy ADNI-1, PIB
Ana María Universidad de Alicante Final project
Laura Mariano C.S. Draper Laboratory MRI processing, heterogeneous data fusion, machine learning
Razvan Valentin Marinescu University College London disease progresison Alzheimer's staging
Michael Marnane University of British Columbia Hospital small vessel disease white matter hyperintensity Alzheimer Disease MRI
Asif Maroof University of Texas San Antonio CSF, plasma, blood serum, APOE, biomarkers
Laura Marple Washington University in St. Louis DIAN, ADNI, harmonization, WUSM, NIL
Cristiane Marques PUCRS neuroimaging, machine learning algorithms
Linda Marrakchi Institut Superieur de Biotechnologies de Sidi Thabet segmentation, alzheimer, subcortical structures
Gad Marshall Brigham and Women's Hospital PIB PET, FDG PET, APOE
Kaspar Märtens University of Oxford statistical methodology, multi-view learning
Cristian Marti Methinks deeplearning alzheimer diagnosis MRI
Harold Martin Florida International University ICA, PCA, FMRI, alzheimer
Victor Martinez National University Of Colombia Alzheimers disease, classification problem, probability model
Carlos Martinez Jackson State University cell deterioration, brain mapping, big data analysis
Oliver Martinez UC Davis Volumetric and stroke rating analysis
Jesus Martinez Queen's University Belfast DNN, Computer vision
Antonio Martinez Torteya ITESM Campus Monterrey image based biomarkers, genetic algorithms, quantitative imaging
Jean-Baptiste Martini UPMC alzheimer pet fdg roi
Samuel Martins University of Campinas statistical object shape models, multi-atlas label fuzion
Viviane Masciotra Institut gériatrique de Montréal Alzheimer's Disease, cognitive decline, grey matter atrophy
Ahmed Masmoudi Fseg extraction, alzheimer
Aliaksandr Masny Fraunhofer Institute for Algorithms and Scientific Computing SCAI AD MRI analysis
Pir Masoom shah COMSATS Institute of Information Technology Islamabad Machline Learning
Pir Masoom shah COMSATS Institute of Information Technology Islamabad Machline Learning
Tyler Massaro DCRI ADNI, ADMC, postdoc, statistical analysis
Jun Masumoto FUJIFILM Corporation CAD
Cristy Matan University of Pittsburgh Pib, PET, AV45, SUV
Karen Mate University of Newcastle anticholinergic, polypharmacy, pharmacogenomics
Pedro Mateus University of Minho Biomedical, Alzheimer, Article, Study
Karen Mather University of New South Wales Alzheimer’s disease, High white matter hyperintensity, neurodegenerative disease
Mara Mather University of Southern California depression, prefrontal
Jesia Mathew M S Ramaiah University of Applied Sciences Alzheimer's EMCI, LMCI
Samuel Mathias Yale University obesity, BMI, cortical volume
Tamilalaghan Mathiyalagan College of Engineering Guindy MRI , CT , image analysis and Prediction
Will Matloff University of Southern California GWAS
Keisuke Matsubara Research Institute for Brain and Blood Vessels Akita Partial volume correction; PET
Takashi Matsubara Kobe University deep learning
Yukihisa Matsuda Fukuyama University dementia machine lerning
Dawn Matthews ADM Diagnostics, LLC FDG, amyloid, tau, volumetric MRI, fMRI, prediction, machine learning
Paul Mattis Feinstein Institute of Medical Research FDG-PET, Covariance Network, Dementia, Neuropsychological
Patrick May Luxembourg Centre for Systems Biomedicine Genomics, Genetics,
Chantel Mayo University of Victoria DTI, mild cognitive impairment, Alzheimer's
Elvira Mayordomo Universidad de Zaragoza patogenicity prediction, mtDNA, haplogroups
Colleen McCallum Laureate Institutie for Brain Research data base design
Bryony McCann University of Bristol Dementia, Aging, Hippocampus, Subfields, Morphology
Todd McCollough Ellumen Alzheimer's diease, prediction
Shannon McCormick Radiologics registration; Radiologics
Sean McCurdy University of Toronto machine learning, computational biology, diagnostics,
Carrie McDonald University of California San Diego structural MRI analysis; neuropsychological data
Archana McEligot CSUF Lifestyle, gender, ethnicity, gene-phenotype interactions
Linda McEvoy University of California, San Diego MRI, PET, morphometry, thickness, prediction
William McGeown University of Hull neuropsychology, structural MRI, predictors of decline, conversion, MCI
William McGeown University of Strathclyde Delusions; Psychosis; neuropsychiatric; VBM; neuropsychological assessment
Scott McGinnis Harvard Medical School early-onset Alzheimer disease, late-onset Alzheimer disease
Elissa McIntosh University of Southern California Blood glucose, diabetes, medication, biomarkers
Randy McIntosh Baycrest structural connectivity, functional connectivity, brain network dynamics
Andrew McKenzie Icahn School of Medicine at Mt Sinai gender, aging, myelin
Donald McLaren Massachusetts General Hospital/Harvard Medical School Aging, Genetics, Alzheimer's disease, Longitudinal
Alan McMillan University of Wisconsin pet/mr attenuation correction mri mrac
Corey McMillan University of Pennsylvania MRI, Prediction, Cross-Validation, MCI
Brent McPherson Indiana University Bloomington education
Muhammad Hafiz Md Zaini Universiti Teknologi Malaysia Neuroimaging, Epilepsy, Multi-Atlas Based Segmentation
Mark Meadowcroft The Pennsylvania State University - College of Medicine Meadowcroft, ADNI, AD, MRI, white matter, iron, resting state, DTI, FA, MD
Adam Mecca Yale University disease progression, medications
Shashwath Meda Institute of Living/HH ICA, GWAS
Venkata Srinu Medikonda Madanapalle Institute of Technology and Science Entropy, correlation
Karin Meeker Saint Louis University intraindividual variability, functional networks, anticorrelations
Thinhinane Megherbi USTHB dMRI, FOD, Fibers, HARDI, white matter
Adil Mehmood University of Sargodha 3 tesla MRI image
Dix Meiberth University Hospital Cologne SMC SCD Alzheimer's Biomarker CSF PET
Dominik Meier MIAC image processing, segmentation, morphometry
Antoine Meijerman VUMC/Neuroscience campus reproducibility,ADNI1,FreeSurfer,FIRST
jose mejia universidad autónoma de ciudad juarez UACJ denoising superresolution segmentation
Lasitha Mekkayil MSRUAS Alzheimer, MRI
Sanne Meles University of Groningen, University Medical Center Groningen FDG PET, networks, SSM PCA, spatial covariance analysis
Lester Melie-Garcia Cuban Neuroscience Center morphological connectivity, graph theory, anatomical connectivity
Rebecca Melrose VA Greater Los Angeles Healthcare System, West LA VA cognitive aging
Alexander Mendelson UCL PET,MRI, Classifiers, Embedding
Aline Mendes Hôpital Pitié-Salpêtrière Preclinical Alzheimer, SNAP, MRI, hyppocampal volumetry
RICARDO ANTONIO MENDOZA LEON Universidad de los Andes Medical Content-Based Image Retrieval, Neurodegenerative pathologies,
Manuel Menendez Gonzalez HUCA biomarker, mri, csf,tau,amyloid,mci
Dewen Meng University of Nottingham resting-state fMRI
Xianglai Meng Beihang University Prediction, detection, deep learning
David Mengel Harvard Institute of Medicine abeta, tau, autoantibodies
Ramesh Menon MedGenome Labs Bioinformatics
Ravi Menon Robarts Research Institute fMRI, ASL, Perfusion, FDG
Flavio Mercado UBA University Hospital Clinicas Jose San Martin amyloid, risk factors, hipocampal, limbic
Bernd Merkel Royal Melb. Hospital ASL, structural, Hippocampus
Viviana Messick University of Southern California data
Mind Messmer Georgetown University Adaptive clinical trial assessment
Pierre-Francois Meyer McGill University inflammation csf plasma pathophysiology
Carsten Meyer Philips Research Laboratories image processing
Adam Mezher San Francisco Veteran's Hospital ADNI
Liang Mi Arizona State University Registration
Oleg Michailovich University of Waterloo HARDI, compressed sensing, multimodal tractography
Lars Michels University Hospital Zurich fMRI, shape, connectivity
Guedj Mickael Pharnext genetic association studies methodology
Mark Mikhail Cairo university Alzheimer’s, GWAS
Arthur Mikhno i2Dx, Inc. AD
Justin Miller Cleveland Clinic Alzheimer's disease, amyloid,
Brendan Miller University of Southern California FDG-PET, inflammation, growth factors, exercise
Rachel Miller Case Western Reserve University Nucleus Accumbens
Colleen Millikin University of Manitoba delusions, Alzheimer's disease, MCI, NPI-Q, neuropsychological functioning
Byung Wook Min Yonsei University Bayesian Network, Artificail Neural Network, Alzheimer's Disease, Genetic Data
Eun Jeong Min Emory University CCA, array data
George Minadakis The Cyprus Institute of Neurology & Genetics biomedical engineering
Ye Ming SWU brain network
TRUONG Minh Chinh Hue University MRI, wavelet
Lora Minkova Univerisity Medical Center Freiburg functional connectivity, resting-state, MCI
Michelle Miranda University of Texas MD Anderson Cancer Center functional mixed models
arshia mirbagheri amirkabir university of technology alzaimer
Dusan Misevic INSERM teaching
Bandana Mishra NIT Rourkela Non rigid registration
Chetan Mishra University of Virginia Deep Learning, artificial neural networks
shiwangi mishra Indian Institute of Information Technology diagnosis,image processing
Ashutosh Mishra Thapar University Alzheimer, Parkinson, Demensia
Shruti Mishra Washington University in St. Louis School of Medicine AV-1451 PET Tau
Krishna Mishra Student mc
Karen Misquitta University of Toronto white matter hyperintensities, neuropsychiatric symptoms
Brian Mitchell University of California at Santa Barbara model, parameter estimation, cloud computing, stochastic simulation
Keyur Mithawala Independent Researcher ResNet and Wide ResNet Neural Network Application for Alzheimer's
Arnold Mitnitski Dalhousie University ADNI, biomarkers, progression of AD, complex networks
Sinjini Mitra California State University, Fullerton Brain health, outcomes, gene
Gaurav Mittal Indian Institute of Technology Ropar medical assisted computing
Matthias Mittner University of Tromsø tDCS; stimulation; AD
krishna prasad Miyapuram Indian Institute of Technology Gandhinagar pattern classification, SNP, MCI
Pawel Mlynarski INRIA Brain tumors, brain images, machine learning
Daojun Mo Eli Lilly and Company AD image progression
Abhay Moghekar Johns Hopkins University CSF biomarkers; Proteomics
Sebastian Moguilner FUESMEN fMRI
heba moh Future university machine learning, mri segmentation
Mark Mohabir Drexel University Neurology
Bahram Mohajer Tehran University of Medical Sciences Imaging genetics, Behavioral neural sciences, MCI to Alzheimer's progression
Moataz Mohamed cairo university ADNI
Sadeq Mohammadi University of Tehran VBM, Simulated Atrophy
Ali-Reza Mohammadi-Nejad University of Tehran MRI, AD, MCI
Saed Mohammady EMU AD, MRI, CLASSIFICATION
Kishore Kumar Mohan Northeastern university Convolutional neural networks
Hassan Mohy-ud-Din Yale University PET-MR
Stefano Moia University of Turin PET FDG ALS
alireza mojtabavi , Research Center for Biomedical Technologies & Robotics Neural Networks
Helena Molina Maimonides Biomedical Research Intitute of Cordoba nutrition, MCI
mohaddeseh montajabi University of Tehran Alzheimer, Connectivity Analysis, fMRI
Victor Montal HSP AD; preclinical; FBP; AB; DWI; Freesurfer
Aram Montazami Novatek International Medical Data Systems Cognistat, Novatek, NMDS, Alzheimer, coginitive impairement
Maxime Montembeault University of Montreal Structural connectivity, stuctural covariance
Manuel Montero-Odasso University of Western Ontario ADASCog, MCI,outcome measure,
Albert Montillo General Electric Research radiogenomics
Byung-seung Moon Kangwon National University Azlhemier's disease, depression
Chan Moon UPMC mri pet ct
Archer Moore RMIT, Melbourne ANN, feed-forward network, Alzheimer's, machine learning, artificial ablation
Francesco C. Morabito University Mediterranea of Reggio Calabria EEG Biomarkers, PET, Complexity Measures
masoud moradi eastern mediterranean university research
Orlando Morales Ballesteros Instituto Nacional de Neurología y Neurocirugía Dr. Manuel Velasco Suarez Correlation fractional anisotropy hippocampal atrophy
Daniela Morales-Henriquez Universidad de Monterrey carnavi21
David Moratal Center for Biomaterials and Tissue Engineering voxel-based morphometry, volumetry, image analysis
herman moreno SUNY - Downstate Medical Center metabolomics
Leandro Morera Cenidet Super resolution representation
Ryuta Morihara Okayama University Alzheimer's disease
Elizabeth Mormino MGH amyloid, preclinical AD, aging
Fanny Moron Baylor college of medicine MRI, fMRI, PET
Jeffrey Morris The University of Texas MD Anderson Cancer Center functional data analysis, imaging, wavelets, linear mixed models
Bénédicte Mortamet CIBM - SIEMENS (leaded by Gunnar Krueger, PhD) morphometry
John Morton Stanford University Medical Center obesity, cognitive decline, Alzheimer's, BMI
Pablo Moscato University of Newcastle biomarker, combinatorial optimization
Abdela Ahmed Mossa Cukurova University ADNI dataset request
setare mottaghi andishe bartar 0
Aymen Mouelhi ENSIT Image segmentation
Arezou Moussavi UTSA classification, deep learning, autoenoders
Wenzhu Mowrey Albert Einstein College of Medicine genetics, imaging, methodology
Lungile Mtetwa Wits University 3D MRI Segmentation, sub-cortical region, Active Shape Model
Sebastian Muehlboeck Kings College London Institute of Psychiatry t1 volumes longitudinal analysis freesurfer
Susanne Mueller University of California San Francisco teaching, image processing
Felix Mueller-Sarnowski Technical University of Munich clinical algortihms, clinical decision support
Felix Mueller-Sarnowski Munich Medical Society evaluation, data driven models
RATNA MUFIDAH UNEVIRSITAS INDONESIA CAD system, Alzheimer's Disease
Shubhabrata Mukherjee University of Washington, Seattle item response theory, structural equation modeling, growth models
Christian Müller University of Erlangen-Nuremberg CaMKII, single nucleotide polymorphisms, logical memory, hippocampus volume
Hans-Peter Müller University of Ulm DTI, fractional anisotropy, group study, disease specific pattern
Roger Mullins NIA Insulin Resistance, FDG-PET
Paul Mullins Bangor University ICA, DCM, Networks , Salience network, Central executive network, DMN
Nathan Muncy Brigham Young University Segmentation, volumetrics, ANTs
Akhtar Munir COMSATS IIT Research
RAMESH MUNIRATHINAM ANNA UNIVERSITY ALZHEIMER'S DISEASE
David Munoz University of Toronto Glial tau, asymmetry, epigenetics
Catherine Munro University of Texas Southwestern Medical Center connectivity, head injury, magnetic resonance imaging
Gabriela Muranevici 1937 concurrent medication, amyloid deposition, adverse events
Santiago Murillo Rendon Universidad Autónoma de Manizales Artificial Intelligence, Mild Cognitive Impairment, Computer Aided Diagnosis
Sonya Murphy PerkinElmer clinical and translational data analysis software
Cristina Muscio Fondazione IRCCS Istituto Neurologico Carlo Besta Lewy Body Dementia
Gabriel Musso Real Time Data Solutions Predictive modeling, analytics, diagnosis
Yasser Mustafa South Valley University deep learning, dementia
Daniel Myall New Zealand Brain Research Institute PD, AD, MCI, MRI
gayathri N Thiagarajar college Data analysis
shahab Nabavi Islamic Azad University Of urmia diagnosing Alzheimer
Eman Nabeel Cairo University Machine learning, deep learning, content-based image retrieval, tractography
Robert Nagele Univ. Medicine and Dentistry of New Jersey biomarkers, MCI, diagnosis
Hane Naghshbandi Babol university of technology Alzheimer
Mohammad Nahvi Noshirvani University of Technology Alzheimer, MRI, image processing
mohamad nahvi Noshirvani University of Technology Alzheimer, MRI, image processing
Shruti Naik IIIT Complex Networks, Resting State Connectivity
Mai Naikeng guangzhou brain hospital APOE, GDS, FDG-PET, t1-MRI, fasting glucose, AD
Neda Najmitabrizi Texas A&M University Alzheimer, statistical analysis
Mohammad Obadah Nakawah Houston Methodist Hospital Alzheiher's disease, T2 FLAIR hyperintensity
Mike Nalls National Institute on Aging predictor, machine learning, data mining, classifier, genomics
ANNIE NANCY RAJALAKSHMI ENGG COLLEGE menatal disabilities
Loris Nanni University of Padua Machine Learning; Pattern recognition; Computer vision
Giulio Napolitano Bonn University Hospital Machine learning; gradient boosting-
Manjari Narayan Rice University functional connectivity; fmri; statistical inference
Parisa Naseri Shahid Beheshti University of Medical Sciences candidate genetic mapping,imaging genetic
Ilya Nasrallah University of Pennsylvania glucose metabolism, perfusion
fatima nasrallah the University of Queensland centrality, FDG, MCI, AD
Ilya Nasrallah Upenn ROVER, FDG-PET, AD
Rana Nassif AASTMT classification
sruthi r nath Adi sankara institute of engineering and technology local graph structure,MRI
Farouk Nathoo University of Victoria space-varying regression, high-dimensional regression, regularization
Daniel Nation University of Southern California blood pressure; cerebral blood flow
Brian Naughton Boolean Biotech regression, classification, prediction, data
Riccardo Navarra ITAB, Institute for Advanced Biomedical Technologies DTI, DKI, NODDI
Deepak Ranjan Nayak National Institute of Technology Rourkela CAD, MRI, AD
Mufassra Naz University of Bonn Genetic Analysis on Genotype Data
Shayan Nazemian Khomeini hospital segmentation
Arash Nazeri Tehran University of Medical Sciences Network Analysis, Bipartite network, GWAS
Emilija Neckoska Faculty of electrical engineering and information technologies Alzheimer, MRI, brain, images, processing
Ebrahim nehary cairo university svm classification fmri Alzheimer's
Peter Nelson U. Kentucky hippocampal sclerosis, MRI
Linda Nelson UCLA Down syndrome; Alzheimer's disease; normal controls; MRI; neuropsychological
Shubha Nerur Self machine learning
Thomas Nesteruk Tomasz Nesteruk MCI, AD, conversion
Scott Neu University of Southern California APOE, hippocampus
Scott Neu UCLA anatomical point landmark, automation, svd, seed points
Yen-Bee Ng Karolinska Institutet Alzheimer disease
Tin Nguyen Wayne State University Perturbation clustering
Nghi Nguyen University of Pittsburgh Extraocular muscles, mitochondria, cognitive function
Hieu Nguyen Trung University of Engineering and Technology, Vietnam National University Hanoi AD, Deep Learning, MRI, PET
Lucy Ni University of Calgary Manual tracing of hippocampus
Yongjian Nian Third Military Medical University Lossless compression
Thomas Nichols University of Pennsylvania Harmonized Hippocampal Protocol Segmentation Training
Kristin Nicodemus University of Oxford genomewide, imaging, cognition
YUNLONG NIE Simon Fraser University genomic, functional analysis, statistics methods
Casper Nielsen University College London (UCL) MRI, Boundary Shift Integral, segmentation, longitudinal analysis
Robert Nikolov UC Irvine machine learning MRF
Jessica Nila California State University Fullerton Review, Develop
Christopher Nishioka UC Riverside DTI, White matter
Ryoto Niwa Keio university machine learning , bayesian network
ines njeh enis alzhaimer, segmentation,CAD
eMalick Njie Genetic Intelligence Artificial intelligence genome sequencing
samaneh nobakht university of calgary Segmentation, Hipocampus, artificial neural networks
Andrew Noble UC Davis disease burden, data science
Art Noda Stanford University ROC biomarkers
Ali Noroozi Tarbiat Modares University of Tehran Classification, Sparse Learning
Derek Norton University of Wisconsin - Madison CSF, cognitive variability, IICV
Chiara Nosarti King's College London brain ageing, convolutional neural networks
Rachel Nosheny NCIRE database organization
Patrizia Notaro University of Calabria- Italy AD-MCI-Neurogenetics
Akifumi Notsu Oita university of nursing and health sciences statistical analysis
Gerald Novak Janssen R&D Cogstate; neuropsychological tests, regional cortical volumes
Seyed Hossein Nozadi polytechnique university of montreal Alzhiemer, PET images, FDG-PET, Amyloid, Classification
fen nu chongqing university alzheimer's disease; data analysis; machine learning
Paolo Nucifora University of Pennsylvania DTI, tractography
Kelly Nudelman Indiana University-Purdue University Indianapolis Alzheimer's disease, cancer
adonay nunes sfu cortical thickness
Ana Nunes Simatix medical imaging, morphometry, fractal analysis
Michelle Nuno University of California, Irvine nested case-control, case-cohort, alternative sampling designs, time to event
Tal Nuriel Columbia University Medical Center apoE, SNP, Alzheimer's
Haakon Nygaard University of British Columbia aging, alzheimer's disease, exome sequencing, whole genome sequencing
Paul Nyquist Johne Hopkins School of Medicine Leukoariosis, Coronary artery disease, imaging, epidemiology
Jacob O'Bott University of Pennsylvania DTI, Imaging
Sirimon O'Charoen Thomson Reuters Curate
William O'Neill University of Illinois at Chicago dementia classification, regression models of images
Jonathan O'Rawe Stony Brook University rsFC
Grzegorz Obrzut Instytut Arcana MCI, AD, Progression
Ganzorig Och Inha Brainstudy
Timothy OConnell University of British Columbia alzheimer's hippocampal volumes
David Odaibo UAB Deep Learning, Neural Networks, GPU
Benjamin Odry Siemens Medical Solutions USA Brain region extraction, analysis
Axel Oehmichen Imperial College London label propagation; genome-wilde Alzheimer's data;
Edward Ofori University of Florida DTI, T2,T1
ABDULFATAI OGUNSANMI MODIBBO ADAMA UNIVERSITY OF TECHNOLOGY, YOLA Genome, Alzheimer's disease
Kaya Oguz Ege University alzheimer, fmri, dream
Minyoung Oh Asan Medical Center PET quantitative analysis
Jungsu Oh Asan Medical Center voxel-based PET & MR analysis, cortical surface-based PET & MR analysis
Hwamee Oh Columbia University AD biomarkers, risk factors
Hironori Ohigashi Osaka University AD MCI NL
Naoya Oishi Kyoto University Graduate School of Medicine MRI, PET, Pattern Recognition, SVM
Kenichi Oishi Johns Hopkins University MRI, clinical, multimodal, prediction, prognosis
hamid okhravi Eastern Virginia Medical School MRI, volumetric, hippocampal atrophy
Ozioma Okonkwo Brown Medical School Cerebral atrophy, vascular burden, WMH, functional change, MCI
Savaş Okyay ESOGU classification, feature selection
João Oliveira Federal University of Pernambuco Alzheimer´s disease, association studies, PRNP, Interleukins, GABA
Cyrill Oliveira IFSudestMG-JF EEG, Alzheimer, Artificial Neural Networks (ANNs)
Francisco Oliveira University of Coimbra PET/PiB; CSF; reference regions; classification; correlation
Ruth Oliver University College London partial volume correction
Salvador Olmos Zaragoza University morphometry, diffeomorphism
Wiktor Olszowy Ludwig Maximilian University warping, Markov Random Fields
Javier Oltra-Cucarella University of Valencia and Hospital Universitario Santa Mª Del Rosell mild cognitive impairment, memory, Alzheimer's disease
Zehra Önen Koç University Alzheimer's disease, Screening policy, Markov Decision Process
Rowena Ong Medtronic, Inc. Segmentation, algorithm validation
Keiichi Onoda Shimane University resting-state fMRI, support vector machine
Chiadi Onyike Johns Hopkins University Alzheimer disease, anxiety, functional networks, PET, MRI
Grégory Operto Pasqual Maragall Foundation cohort studies quality control processing platform
Ketil Oppedal University of Stavanger Computer aided diagnosis, MRI, dementia
Juan Orejuela Fundación Valle del Lili AD, MILD, NPH
Atila Orhon University of Southern California Deep Learning, Pattern Recognition, Convolutional Neural Networks, MRI
Max Orozco USC preprocessing, orientation
Juan Ortuño Universidad Politécnica de Madrid segmentation of WMH
Michael Osadebey Concordia University NOISE VARIANCE, MEDICAL IMAGES, MRI
Joseph Osborn University of California, Santa Cruz machine learning, research training
yamur osmanova university of tehran Default mode network (DMN)Alzheimer’s disease (AD)Independent component analysis
Osonde Osoba RAND Corporation screening, biomarkers, image analysis
hamid Ostadrahimi TUMS somatic marker , brain structure , , DTI , tractography
Parisa Ostovari University of Isfahan segmentation, brain images
Sarah Otis Fielding University mild cognitive impairment, alzheimer's disease, neuropsychology
Shauna Overgaard University of Minnesota synaptic plasticity, proteomics, genomics, neuroimaging
Catrin Elin Owen Cardiff University Volume Brain Atrophy Alzheimer's
Neil Oxtoby University College London biomarker dynamics, disease progression, computational models
MUHAMMET ÜSAME ÖZİÇ SELCUK UNIVERSITY hendese
Gorkem Ozkaya University of Hartford wavelets, fmri, spm, wspm
Fatih Ozsolak Biogen GWAS, alzheimer's
melis ozyildirim Çukurova Üniversity deep learning, mri
Judy Pa University of Southern California hippocampus, mild cognitive impairment, cognitive decline
Joe Pacheco self analytics trials markers
Gary Pack University of Wisconsin-Madison imaging genetics neuroimaging inflammation phenotype
Daniel Padilla Jackson State University bigdata alzheimer data science
Berizohar Padilla Cerezo California Polytechnic State University San Luis Obispo MRIA, Neural Networks, CAD
Bruno Padovese UNESP Unsupervised learning, Alzheimer disease detection, patter recognition
Gennaro Pagano Institute of Psychiatry, Psychology & Neuroscience (IoPPN) King’s College London Neurodegenerative Imaging
GUNJAN PAHUJA jssate, NOIDA Alzheimer , MRI data
Shraddha Pai University of Toronto Alzheimer's Disease, clinical predictors, genetics, patient similarity networks
Shahryar Pajavand National Brain Mapping Center Alzheimer, AD, memory , hipocampo , white matter, tensor, imaging, dementia
Juha Pajula VTT TECHNICAL RESEARCH CENTRE OF FINLAND DSI, DSF,EU,VPN-DARE@IT,VTT
Ashkan Pakzad University College London Graph Theory, Alzheimers Disease,
mathiyalagan palaniappan SREC CUDA , GPU and alzheimer
SINDHU PALANISAMY JERUSALEM COLLEGE OF ENGINEERING ALZHEIMER'S
Sebastian Palmqvist Clinical Memory Research Unit, Lund University Descriptive data
Frosti Palsson University of Iceland classification, sparsity, linear discriminant analysis, deep learning, MRI
Reinald Pamplona University of Lleida - IRBLleida purine metabolism, Alzheimer Disease
Tiffany Pan University of Southern California genetics, neuronal atrophy
Yuqing Pan Florida State University neuroimage, classification
hongliang pan ChangChun University Of Technology Dictionary learning methods
xiao-bo pan Siemens plc quantification
Xiaoxi Pan Ecole Centrale de Marseille Alzheimer Disease, Segmentation, Classification, Computer Aided Diagnosis
Dan Pan Guangdong Construction Polytechnic early diagnosis, neuroimaging, multi-modal data analysis, deep learning
Wei Pan University of Minnesota Association; Genetics; Imaging genetics; SNP; Sequencing.
Pritam Panda D.Y.Patil University MRS, Neurodegenerative Disorders, Gene network, transcriptome, LONI,
Lokesh Pandey Dronacharya College of Engineering Nil
xu panpan Southern Medical University segmentation classification;
JANTANA PANYAVARAPORN Burapha University MRI, segmantation, brain, Alzheimer's disease
Manish Paranjpe Johns Hopkins Alzheimers, FDG, PET/CT
Matteo Pardini University of Genoa, Genoa Italy & UCL Institute of Neurology, London VBM, functional reserve
José Paredes UPO Alzheimer, UPO.
Jignesh Parikh Biogen Patient Recruitment, Data Integration
Hyunjin Park Sungkyunkwan University registration, segmentation, shape features
Seongbeom PARK Samsung Medical Center neuroimage, image processing
Min Tae Park Douglas Mental Health University Institute neuroanatomy, MRI
Hyunjin Park Gachon Univ of Medicine ans Science registration atlas segmentation subcortical structure
Sejin Park Vuno Inc. Disease diagnostics, Deep learning
JongYun Park Korea University AD, subtyping, classifying
JongSeong Park Infomeditech Analysis sMRI fMRI
DooHyun Park yonsei university machine learning
yuhyun park Samsung Medical Center PET, MRI, DWI
Ji Eun Park Asan Medical Center, Seoul, Korea Dementia, rs-fMRI
Young Ho Park Seoul National University Bundang Hospital mild cognitive impairment, dementia, medial temporal atrophy, parietal atrophy
Jason Parker Wright State University functional neurimaging quantification
alice parodi politecnico di milano Functional Data Analysis, Genomic, Cognitive Decline
Silvia Parolo The Microsoft Research - University of Trento COSBI epistasis - alzheimer's disease - network
yohn jairo parra bautista jackson state university platform,prediction,alzheimer
Marcus Parrish Stanford University Striatum
Guido Pascariello Universidad Nacional de Entre Ríos neuroimaging pipeline neuropathology
Peristera Paschou Democritus University of Thrace Data-mining tools, novel algorithms, prediction models, genomic datasets
Belen Pascual Houston Methodist Weill Cornell Medical College social cognition, fcMRI, AD
Hristo Paskov Stanford Biomarker search
Lorenzo Pasquini Klinikum rechts der Isar TUM Hippocampus, intrinisc brain networks, multimodal
Julio Sergio Eduardo Pastor Tantaleán Universidad Nacional Jose Faustino Sanchez Carrion alzheimer, thesis, grandmother
Lucas Pastur University of A Coruña ANN
Sejal Patel Centre of Addiction and Mental Health SNP data
Raihaan Patel McGill University Striatum, Thalamus, Longitudinal, Volume, Shape
Ross Paterson University College London csf
Bryan Paton Monash University resting state, default mode
Julia Patriarche AI Analysis, Inc. change detection change characterization serial MRI PET
Rémi Patriat University of Minnesota segmentation, 1p5T
Constantinos Pattichis University of Cyprus genetic data analysis, MRI texture analysis, machine learning
Debashis Paul University of California, Davis MRI, HARDI, DWI
Kuldeep Pawar Morayas Alzheimer
Mikolaj Pawlak Poznan University of Medical Sciences Multiple Sclerosis, Alzheimer Disease
Rotem Paz Technion Alzheimer's
Mir Mohsen Pedram Kharazmi University semi-supervised learning
Ziyi Pei Tongji University AD fMRI
Annick Péléraux Sanofi R&D data warehouse, translational medicine, Myriad RBM
Gaby Pell Ben Gurion University Morphometry, MRI, volumetry
Jing Peng Chengdu University of Information Technology lam713859
gao peng waseda university a332233
Daniela Perani Vita-Salute San Raffaele University Brain reserve, Education, Gender, FDG-PET, Amyloid-PET
Luis Peraza Newcastle University Dementia, data fusion, fMRI, networks, PET
Francisco Pereira Siemens Corporate Research machine learning funtional connectivity
Fabricio Pereira CHU-Nimes ReHo
Diana Perkins University of North Carolina plasma, correlation network analysis
Mark Perlow Palo Alto Veterans Administration Hospitatl Insomnia, drowsiness, daytime sleepiness
Robert Perneczky Technische Universität München genetic imaging, CSF markers
Umesh Persad The University of Trinidad and Tobago medical imaging, structural biomarkers, Alzheimer’s disease, dementia
Jessica Peter University Medical Center Freiburg alzheimer, psychiatry, symptoms
Mette Peters Sage Bionetworks eSNP, GWAS,
Ruth Peters Imperial College London/Australian National University Antihypertensives, dementia
Mark Pether NHS Grampian FDG PET Optimisation Regularised Reconstruction Model Observers
Jeffrey Petrella Duke University Medical Center multimodality fusion
Paula Petrone BarcelonaBeta Brain Research Centre Machine learning Alzheimer's risk assessment
Dmitry Petrov The Institute for Information Transmission Problems, Moscow machine learning, structural connectome
Nicola Pezzotti TU Delft Dimensionality reduction
Andreas Pfenning Carnegie Mellon University noncoding, genetics
Chi-Tuan Pham Hôpital Pitié-Salpêtrière imaging, biomarker
Nicole Phillips University of Dallas mitochondrial DNA copy number, heteroplasmy, deletion,
Jeffrey Phillips Penn FTD Center, University of Pennsylvania neuroimaging, staging, posterior cortical atrophy, logopenic progressive aphasia
Chia-Ling Phuah Washington University School of Medicine in St Louis imaging, white matter, cerebrovascular disease
Shanthi Pichai shanthi gender multivariate effect ADNI AD
Cesar Pichardo Certara Quantitative Systems Pharmacology, Computational Models
Alexa Pichet Binette McGill University ICA, grey matter, aging
Olga Pietras University of Amsterdam Convolutional Nets, Alzheimer Disease, Mild Cognitive Impairment
Mariusz Pietrzyk Renishaw plc Segmentation
Jagan Pillai Cleveland clinic Clinical trajectory, subtypes of Alzheimer’s disease, cortical atrophy, MCI, pre
francesca piludu istituto neurologi bonino pulejo dementia
He Ping HangZhou Univeristy Classification
Elizabeth Pirraglia Center for Brain Health, NTU Medical Center CSF, MRI, PET
Ranjan Piyush Indian Institute of Technology Madras Alzheimer's disease
Nick Pizzi InfoMagnetics Technologies Corporation (IMT) Text Analytics, Data Mining, Image Processing
Luis Fernando Planella Gonzalez PUCRS data mining, imagery
Andrew Plassard Vanderbilt University MRI, structural imaging, genetics
Carlos Platero Universidad Politécnica de Madrid Multi-atlas segmentation
Maciej Plocharski Aalborg University Cortical sulci, cortical thickness, MRI, AD, MCI
Adam Podhorski CEIT and Tecnun (University of Navarra) PET, Machine Learning, Alzheimer disease
davide poggiali university of padova MS, HC
Mher Poghosyan USC Neuroimaging and Informatics Institute QC
Kilian Pohl SRI International, Stanford University HIV, HAND, machine learning
Judes Poirier McGill University Genetic, Protective Factors, Conversion
Jean Jacques Polakow Technion Alzheimer,deep learning, Convolutional neural networks, cnn
Marios Politis Institute of Psychiatry, Psychology & Neuroscience (IoPPN) King’s College London Neurodegenerative Imaging
Anne Poljak University of New South Wales Aβ, MCI, AD, PD
Katia Maria Poloni Universidade Estadual de São Carlos Alzheimer's disease, measure
Victoria Poole Hebrew SeniorLife gait, falls
Jordan Poppenk Queen's University hippocampus, disease classification, risk factors
Jordan Poppenk Rotman Research Institute hippocampus morphology memory ability
Anton Porsteinsson University of Rochester cognitive reserve, cognitive decline, metabolic reserve
Erik Portelius Institute of Neuroscience and Physiology Neurogranin, Alzheimer's disease
Filippo Posta Grand Canyon University correlation, clustering, som, biomarkers, demographics
Danielle Posthuma VU University Alzheimer, genetic correlates, biomarkers, CSF
Michele Potashman Biogen patient population characteristics
Stephane Poulin Massachusetts General Hospital Biomedical imaging
Melinda Power George Washington University Milken Institute School of Public Health small vessle disease
Tejas Prahlad University of Michigan - Ann Arbor Feature engineering
Lee Pranav DaLian University research for KDD
Lee Pranav DaLian University research for ADNI
Ajay Prashar Sri Guru Granth Sahib World University Alzheimer's disease, mild cognitive impairment, health control, MRI, LVQ
Jeff Prescott Duke University Hospital DTI, structural connectivity, amyloid PET imaging
Luciano Prevedello The Ohio State University Texture analysis; machine learning
Fabio Previtali Sapienza University of Rome Predicting Disease, Classifying Disease
James Pricer JEPricer Studio data mining,generative art
Jerry Prince Johns Hopkins University thickness, white matter hypertrophies
Christopher Pritchard Old Dominion University Multimodal Medical Image Registration
anandh priya lady doak college SVM
priya priya GRI seg
antonio procopio Unical network
Michael Properzi Massachusetts General Hospital PiB, PET, centiloid
Angus Prosser University Hospital Southampton NHS Foundation Trust VBM
Cécile Proust-Lima INSERM latent process, latent state, mixed effect model, succession of impairment
Jens Pruessner McGill University Medial temporal lobe, Hippocampus, Entorhinal Cortex, structural Neuroimaging
Jian Pu East China Normal University classifier, machine learning
Jian Pu Fudan University data mining, classification and regression
Arjun Punjabi Northwestern University deep learning, data fusion
Anurenjan Purushothaman Renjini College of Enginnering Trivandrum Amyloid plaques, Convolutional neural network, image processing
DoYeong Pyeon Dongseo University Brain Network, TAC, Correlation
Yazdan Qadri Lovely Professional University Alzheimer's Disorder
Qianya Qi University at Buffalo longitudinal analysis; Alzheimer's disease; generalized estimating equation
zeyao QI usst DTI
long qian Peking University MVPA
Xiaoning Qian Texas A&M data integration
Ju Qiao Northeastern University classification, MRI, algorithm
Peixin Qiao Beihang University Deep Learning
jocelin qiao shanghai jiaotong university kitty6193681
zhang qiaoli ucas analysis
Wang Qin Accurad DTI DWI
Tian Qin Leiden University Science biomarker, Principal Component Analysis, network analysis, disease progression
Yuanyuan Qin Tongji Hospital, Tongji Medical College, HUST temporal lobel strucutes
qinxiaotie qin swu univeristy dti
zhao qing The Affiliated Drum Tower Hospital of Nanjing University Medical School genetic, structural MRI, diffusion MRI, functional MRI,
li qiongling Beihang university MRI
Deqiang Qiu Emory University T1, rsfMRI
Wendy Qiu Boston University School of Medicine Alzheimer's Disease, Psychopathology, Pre-clinical Findings,
Yu QIu Shanghai Jiao Tong University School of Medicine Alzheimer's disease, GWAS, SNP
Yingwei Qiu Duke-NUS Medical School aging
Scott Quadrelli Queensland University of Technology Hippocampus
Jake Qualls Arkansas State University algorithms, alzheimers, computation, analysis
Peter Quarg Novartis Pharma AG biomarker
Adnan Qureshi Rockford Memorial Hospital Researh
Adnan Qureshi University of Bedfordshire artificial neural network, traumatic brain injuries
Veera Manikandan R Christian Medical College breast cancer, single nucleotide polymorphisms, genetic association
BHAVITHRA R MEPCO SCHLENK ENGINEERING COLLEGE Alzheimer MRI dataset, Convolutional Neural Network
Chitra R SSN College of Engineering Diffusion weighted imaging, Functional connectivity
abinaya r sastra university brain tumor
ANAND R Christian Medical College, Vellore Alzheimer disease, diabetes, biomarkers, longitudinal analysis
Balaji R amrita school of engineering brain tumor
Madhusudhan R N PESIT AD
Pradeep Reddy Raamana University of Toronto alzheimer, predictive model, machine learning, early detection
Michael Rabbia Roche Clinical Trials
Laura Rabin Brooklyn College of CUNY subjective cognitive decline, memory complaints, dementia
David Radke Harvard Medical School ADNI; genetic variation
mahsa rafeiean tums family degrees
Oindrila Raha Indiana University drug,genome
Amir Rahimi Battelle Memorial Institute Alzheimer’s disease, biomarkers, big data, deep learning, prediction
Shervin Rahimzadeh Arashloo university of Surrey deep learning; convolutional neural networks;Alzheimer's
Vipin Rai SDMIT, Ujire. Machine learning
HESHALINI RAJAGOPAL University of Malaya IQA
Rajasimhan Rajagovindan AbbVie SMRI PET
Karunanithi Rajamanickam Chettinad Academy of Research and Education fMRI, PET, Alzheimer Diseases
Jagath Rajapakse Nanynag Technological University fMRI, dementia, Alzheimer's disease, functional connectivity
sampath rajaram KCG COLLEGE OF TECHNOLOGY Alzheimers, classification ,machine learning
Rajeswari Rajendran Bharathiar University Alzheimer's disease, diagnosis
Harikrishna Ramakrishnan Northeastern University neuroimaging
Ivo Ramalhosa University of Minho Imagiology, detection AD, inteligent systems
Hariharan Ramasangu M.S.Ramaiah University of Applied Sciences Machine Learning, Topic Models, Alzheimer, Event Detection
Alfredo Ramirez University of Bonn CSF, biomarkers, GWAS
Ana Victoria Ramos Pérez Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI) UDG mathematical model, Integrating data
Raul Ramos Pollan Universidad Industrial de Santander convolutional networks, GPU computing, medical imaging
Rahul Rana Dronacharya College of Engineering Alzheimer's
Swati Rane Vanderbilt University School of Medicine BOLD, ASL, Structural, APOE
Vikram Rao MD ANDERSON CANCER CENTER AD, Breast Cancer, Prediction
Anil Rao GlaxoSmithKline MRI Classification
Arash Rashidi urmia university signal processing
TAHA RASSEM Universiti Malaysia Pahang early diagnosis, segmentation, texture descriptor
Hossein Rastgoo Semnan segmentation and classification
Daniel Rath University Hospital Heidelberg Classification
Dulari Rathnayake University of peradeniya MRI,AD,MCI
Nagulan Ratnarajah Vavuniya Campus, University of Jaffna, Diffusion MRI, Connectome, Alzheimer's
Prabhasa Ravikirthi Abbvie Statistics, Biomarker Discovery
Kaushik Ravipati Emory University Alzheimer's Disease, Epilepsy, Hippocampal Sclerosis, Seizures
Harish RaviPrakash University of Central Florida fMRI, Machine Learning
Meredith Ray University of Memphis fMRI, clustering, spatial analysis, Dirichlet process
Debashree Ray University of Minnesota Multiple phenotype-genotype analysis; multivariate test
DIPANKAR RAY Indian School of Mines registration,fusion,segementation
Nilanjan Ray University of Alberta registration, deep learning
Soumi Ray Indian Institute of Technology, Roorkee image processing, Neuro-degenerative, early detection
Sana REBBAH INSERM U1214 (ex UMR 825) cortical thickness, cognitive reserve, MRI, brain, Alzheimer's Disease
Morgan Redding Washington University in St. Louis Machine Learning, Alzheimers
Bouke Regnerus University of Twente Machine Learning
Patrick Rehn Universität Mainz Data Mining, Deep Learning, Clustering, Pattern Recognition, Classifier BigData
Rokaya Rehouma La Trobe University Alzheimer, Data Mining
Robert Reid Mayo Clinic DTI
Alyssa Reimer The Michael J. Fox Foundation Big Data, aggregation, PD
Philip Reiss New York University functional data analysis; predictive medicine; high-dimensional regression
Christiane Reitz Columbia University Alzheimer's disease , sequence variants
Islem Rekik Univesity of Dundee AD diagnosis; Diffusion Atlas; Machine Learning; Subject-specific Prediction
Jinyi Ren Institute for Stroke and Dementia Research (ISD) ALZHEIMER FMRI FUNCTIONAL NETWORK
Xuhua Ren Shanghai jiaotong university sxycrxh111
Xuhua Ren Shanghai jiaotong university sxycrxh111
Xiaowei Ren Indiana University ROC
Weijie Ren dut Data Mining
William Renehan University of Rhode Island neurodegeneration; epigenetics; biomarkers; Alzheimer's disease
Lior Rennert University of Pennsylvania Azlheimer's genetics depression survival
vassiliki rentoumi NCSR DEMOKRITOS alzheimer's, dementia
Grega Repovš University of Ljubljana, Faculty of arts cognitive control, functional connectivity
Fabian Reyes Pontifical Catholic University of Chile Neurognos, machine learning, deep learning, algorithms, biomarkers
Pablo Reyes Pontificia Universidad Javeriana SVM
Rifat Reza University of Dhaka Image segmentation,brain.
Khosro Rezaee Hakim Sabzevari University Feature extraction and Feature sesction
mansoor rezghi TMU Manifold learning
Herve RHINN Columbia University Alzheimer's APOE epistasis
Atif Riaz City University, London fMRI, Pattern Recognition, Machine Learning
Pablo Ribalta Lorenzo Future Processing deep learning, medical imaging
Adèle Helena Ribeiro Institute of Mathematics and Statistics at University of São Paulo Brain Connectivity, Multimodal Data Analysis, Alzheimer's Disease.
Burt Richards University of Utah RBM, plasma biomarker levels
John Richards University of South Carolina MRI template
Todd Richards University of Washington fMRI, resting state
Hamish Richardson NHS Lothian Dementia
Jonas Richiardi Ecole Polytechnique Fédérale de Lausanne multimodal predictive modelling
Perry Ridge Brigham Young University bioinformatics, gene discovery, next-generation sequencing
Gerard Ridgway UCL Institute of Neurology DCM, fMRI, default mode network, intrinsic brain networks
Basil Ridha University College Hospital inclusion body myositis, neuropsychological profile
Anna Rieckmann Massachusetts General Hospital Genetics, White matter hyperintensities, Neurotransmitters
Janina Ried AbbVie Deutschland GmbH & Co KG genetics, proteomics, biomarker, AD
Joost Riphagen Maasticht University SNAP, tau, WMH,MCI, cortical thickness, hippocampal volume
Petra Ritter Charité University Medicine Berlin the virtual brain, full brain simulations
Kerstin Ritter Charité-Universitätsmedizin multimodal data integration, random forests, bayesian analysis, diagnostics
Hassan Rivaz Concordia University Alzheimer's disease, Parkinson's disease, Image analysis, imaging biomarkers
Jack Rivers-auty University of Manchester Anti-inflammatory drug, NSAIDs, Disease progression
Mina Rizk Allah MRC VBM, Cortical thickness, subcortical segmentation
Massimo Rizzi ARCEM - Italian Association for the research on Brain and Spinal Cord Diseases RQA Recurrence Quantification Analysis
David Roalf University of Pennsylvania neurocogntiion, variability
Catherine Robb Imperial College London ADL, Biomarkers
Erik Roberson UAB biomarkers
Weining Robieson AbbVie CSF and imaging biomarkers
Philippe Rocca-Serra University of Oxford meta-analysis, biocrates
Marcos Antonio Rodrigues Centro de Tecnologia da Informação Renato Archer Deep Learning, Automatic Segmentation, Image Analisys
Alain Rodriguez Universidad Ignacio Agramonte Loynaz alzheimer, statistics, analysis, database
Güise Lorenzo Rodríguez Aguiar Universidad de Las Palmas de Gran Canaria Diagnosis criteria, MCI, EMCI, LMCI, Intelligent system, neural networks
Antonio Rodriguez-Sanchez University of Innsbruck Medical analysis, Computational neuroscience, Contour, Shape
Elena Rodriguez-Vieitez Karolinska Institutet glial activation, cognition, years of education, genetics
Meighen Roes University of British Columbia Motherhood, pregnancy, hormone therapy, Gene x Environment
Emily Rogalski Northwestern University FreeSurfer, Cognitive Aging, structural MRI
James Rogers Metrum Research Group disease progression model, longitudinal model
Baxter Rogers Vanderbilt University longitudinal, structural, functional
Hosna Rohani Alzahra University 09126532217
Darius Rohani University of Oslo Amyloid
Carin Rollins Hinge Bio, Inc. Biomarker, beta amyloid, plasma, blood, mass spectrometry
Jenny Rollo Charles Perkins Centre Alzheimer's disease, regulatory networks, systems biology, gene networks
Adrian Romanillos Icometrix parameters
Klaus Romero The Critical Path Institute Pharmacometrics, modeling and simulation
Axel Rominger University of Munich FDG-PET healthy controls
Jane Rondina University College London Classification, multiple kernel learning, anatomical ROIs
Jeremiah Ronquillo Geronimo Ronquillo LLC Alzheimer's disease, electronic health records, EHR, genomics
Jonathan Rosand Massachusetts General Hospital GWAS, genetics, APOE
Gregory Rose Southern Illinois University resting state networks
Gennady Roshchupkin Erasmus MC imaging genetics
Owen Ross Mayo Clinic Jacksonville genetics, Parkinsonism, sequencing
Joel Ross Memory enhancement center of America Mass spec. Tau. CSF.
David Ross Virginia Institute of Neuropsychiatry brain MRI traumatic brain injury longitudinal neuropsychological performance
Jean-Pierre Roussarie Rockefeller University neuron vulnerability - vulnerability genes
Chittaranjan Rout Jaypee University of Information Technology Image analysis, Feature extraction, Machine learning
Snehashis Roy Henry Jackson Foundation mri, hippocampus
Arkaprava Roy North Carolina State University gene data, structural MRI
Cara Ruble Eli Lilly & Co Bioinformatics
Jonathan Rubright University of Delaware IRT, GDS
Andrea Rueda Universidad Nacional de Colombia MR, Visual Attention Methods, SVM
Denise Ruggiero Yale University Adni
Qiao Rui south China university of technology Qrlhl1971
wang ruidong China Pharmaceutical University Graduate study
Michael Rullmann University of Leipzig PVEC, PET, MR
Pimbucha Rusmevichientong CSU Fullerton Big-Data
Rolf Russell Cortico Metrics RVoxM, machine learning, PACC, FreeSurfer, sMRI
Griselda Russo Sanatorio De Los Arcos volumetry, Alzheimer, Dementia, biomarkers
Nagaraj S KCT alzheimer's disease data set
DARSANA S LBSITW PET, MRI, Alzheimer's Disease, Multistructure brain registration
renu s adi shankara institute of engineering and technology alzheimers,mri
Mahdi Saadatmand-Tarzjan Ferdowsi University of Mashhad Brain Atrophy, Alhzimer Disease, Brain Morphometry, Medical Image Processing,MRI
Mert Sabuncu Harvard Medical School MRI, GWAS, cortical thickness, AD risk genes
Simona Sacuiu San Francisco Veterans Affairs Medical Center Normal elderly, imaging biomarker, cognitive decline
Roksana Sadeghi NCIRE Alzheimer's disease
Srihari Sadhu Sampathkumar Purdue University Deep Learning
Shamil Sadikhov Roche AG IRT, LCA, Multivariate, biomarker, TBI, AD, Machine Learning
naz saf niag hippocampus
alireza safapur islamic azad university central tehran branch alzheimer
asad safi COMSATS medical imaging, cancer
Laure Saint-Aubert Karolinska Institutet PET imaging
noboru saito Roche Diagnostics PSG1