ADNI | Ongoing Investigations

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

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Search for projects using the investigator's name, institution, or keywords

Investigator	Institution	Keywords
Hariharan A	Jerusalem college of engineering	MRI, automatic detection, AD
Anupa A Vijayakumari	SCTIMST	fMRI, DTI, Azheimer's
Mohammad Hadi Aarabi	Tehran University of Medical Sciences	Diffusion MRI
John Aballi	Molecular Stethoscope	cfRNA
abd elazeim abd alla mohamed nour	south east university	MRI,AD,MCI
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
Mahsa Abdollahi	Amirkabir University of Technology(Tehran polytechnic)	Classification, Brain Diseases, Alzeimer, SVM, KNN
Siti Aishah Abdul Aziz	UPM	etty2005
Amritha Abdul Salam	IIT Kharagpur	ML
Nidhal Abdulaziz	UOWD	SVM, Machine learning, Feature Extraction
Ahmed Abdulkadir	University of Freiburg	classification, machine learning
mohammad nasir abdullah	Universiti Teknologi MARA	comparisons, machine learning
Sachal Abdullah	Forman Christian College (A Chartered University), Lahore	Deep Learning , artificial neural nets , EMCI , LMCI
Osama Abdullah	University of Utah	DTI, DSI
Shafiq Abedin	IBM	TBI, Trauma detection
Noor Abidi	PAF KIET	Neural network
Jill Abrigo	The Chinese University of Hong Kong	automated hippocampal volumetry, Alzheimer's disease
Noriaki Adachi	MSD. K.K. (Japan Branch of Merck)	threshold
Christopher Adamson	Murdoch Childrens Research Institute	corpus callosum, cortical thickness, logitudinal
Aditya Addepalli	Birla Institute of Technology and Science	CNN
Viraj Adduru	Rochester Institute of Technology	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	LaBRI	Deep Lreaning
Karim ADERGHAL	LabSIV	deep learning
Benjamin Ades-Aron	New York University Langone Medical Center	NPH, Hydrocephalus
Michael Adeyosoye	Florida International University	tumor, healthy, mri, matlab, benign, malignant
Paul Adlard	The Florey Institute for Neuroscience and Mental Health	Zinc, cognition, ageing, Alzheimer's disease
SRINIVASA AG	UVCE	IMPLIMENTATION OF AD
Iman Aganj	Massachusetts General Hospital / Harvard Medical School	Brain connectivity
Anupam Agarwal	jagannath Univesity, Jaipur	MRI images
Anchit Agarwal	Arizona State University	machine learning, neural nets, deep learning, medical science
Folasade Agboola	Washington University in St. Louis School of Medicine	Preclinical Biomarkers
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
Qing Ai	University of Science and Technology Liaoning	AD
Edward Ai	Shanghai Jiaotong University	Medical image segmentation
benyahia aicha	electronique	AD
Sai Aitharaju	ETH Zurich	Dementia, CNN
Aditya Aiyer	Carnegie Mellon University	Classification, Course Project, Deep Learning
Zeynettin Akkus	Mayo Clinic	MRI
Sanae Akodad	Katholiek Universiteit Leuven	Hippocampal segmentation
Hamid Akramifard	Tabriz University	classification, MRI PET, image processing.
Leon Aksman	UCL	structural MRI, longitudinal analysis, imaging genetics
Said Aktas	F.Hoffmann-La Roche Ltd.	Biomarkers, Genetics
Ahmad Al Khleifat	King's College London	Genetics analysis, SV, CNVs, Telomere
Omar Al-Janabi	University of Kentucky	Brain atrophy, MTA, WMH, Age
Ali Al-Nuaimi	Plymouth University	brain disorder
BahaaEddin AlAila	University of Georgia	deep learning, image regression, temporal prediction
Fadhl Alakwaa	Henry Ford Hospital System	Imaging genetic
Saruar Alam	Chosun University	Classification MRI Image and Gene sequence of AD Patients
Fakhre Alam	University of Malakand	Image Registration, Rigid and Non-rigid
Syed Farhan Alam Zaidi	Comsats Institute of Information Technology	AD, Alzhimer
wiener alan	Beihang University	7731242f
Mukhtar Alansari	king Abdulaziz University	AD , classification , CAD
MERVE ALANYALI	UNIVERSITY OF WARWICK/THE ALAN TURING INSTITUTE	deep learning, convolutional neural nets, data science
Ebrahim Alareqi	Jackson State university	AD, Social Determininates
Thomas Alderson	Ulster University	thalamo-cortical modelling DTI
Hassan Aleem	Georgetown University	VBM
Aishwarya Alex	University of Luxembourg	Alzheimer’s Disease Big Data DREAM Challenge #1
Jacob Alexander	University of Pennsylvania Hospital	Data management
Daniel Alexander	UCL	Event-based model.
Paul Alexander	SEUCE	Deep Learning
Daniel Alexander	UCL	Alzheimer's disease, progression, classification
Panagiotis Alexopoulos	Department of Psychiatry and Psychotherapy	MCI, prognosis, dementia due to AD
Jessica Alfoldi	Broad Institute of MIT and Harvard	gnomAD, ExAC, data aggregation
Ayesha Ali	University of Guelph	Weighted Graph, Group Lasso, Prediction
Imdad Ali	IIUI	Classification
shirin alimoradian	science and research branch islamic azad university	I want analysis ADNI for master thesis.
Paul Aljabar	King's College London	Machine-learning, biomarkers
Hasan Aljabbouli	New Jersey City University	data mining autism
Almir Aljovic	International Burch University	Artificial Neural Networks, Analysis, Alzheimer
Genevera Allen	Rice University	data mining; statistics
Luz Maria Alliende	Pontificia Universidad Catolica de Chile	cognitive reserve, brain imaging
Frankis Almaguel	Wake Forest Baptist Medical Center	Molecular Imaging
Ina Almdahl	Oslo University Hospital	Cerebrospinal fluid Amyloid Depression
Hannes Almgren	Ghent University	Effective connectivity, structural connectivity, cognition
Carmen Alonso Montes	BCAM - Basque Center for Applied Mathematics	machine learning, image processing, data mining
Tasneem Alowaisheq	Indiana University	multi task learning, machine learning
Saif Aldeen AlRyalat	University of Jordan	Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Majd Alsado	University of Alberta	practice, personal
Abdalrahman Alsaedi	Western Michigan University	EMR, BIG DATA MINING,
Haifa Alshehri	Taif University	early diagnosis ,Alzheimer , Classification
tooba Altaf	UET Taxila	Alzheimer’s disease
Marie Altendahl	University of California, San Francisco	Empathy, Theory of Mind, Dementia
Andre Altmann	University Collage London	Imaging Genetics, Next Generation Sequencing
Ashkan Alvand	Islamic Azad University of iran ,garmsar branch	alzheimer,fmri,graph theory
Raid Alzubi	Uni of the West of Scotland	Complex diseases, SNP selection, Machine learning,
ali amani	tabriz university	3750275025am
Robert Amaral	Douglas Mental Health University Institute	hippocampus, white matter, Alzheimer's disease
Mythri Ambatipudi	Saint Francis High School	Machine Learning
Dan Amendola	Sapienza Universiti of Rome	OLAP, Data Mining
remya amernath	ponjesly college of engineering	threshold,segmentation
Inge Amlien	University of Oslo	MRI, multisample
Nicola Amoroso	Bari University (Italy)	Complex manifolds, Classification, Segmentation, Hippocampus
Hakima Amri	Georgetown University	AD, MCI
Krylova Anastasia	VIGG RAS	1995yecz
Athanasios Anastasiou	Swansea University	Electronic Health Records, Data Modeling
Jani Anbarasi	Agni College of Technology	Alzheimer disease, Image Processing Scheme, Neural Network
Gholamreza Anbarjafari	University of Tartu	Alzheimer disease, statistical analysis, deep learning, super resolution
Wes Anderson	Eli Lilly and Company	Alzheimer's pre-clnical research
Jeff Anderson	University of Utah	MRI, MCI
Valerie Anderson	Oregon Health & Science University	18F-AV-45 PET; DCE-MRI; blood CSF barrier
Loretta Anderson	Johns Hopkins School of Public Health	Alzheimer's Disease; Disease Progression; MCI; Biostatistics
Jovan Andonov	ETH Zurich	machine learning, predicting age from mri
Vesna Andova	Faculty of electrical engineering and IT	Alzheimer’s Disease, similarity measurement, image retrieval, data mining
Irene Andreopoulou	Technological Educational Institute (T.E.I) of Western Greece	Medical image processing, PET, classification, SVM
Cameron Andrews	University of Sydney	Machine Learning
K Abigail Andrews	University College London	PET, MRI, CSF, asymptomatic AD, biomarkers
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
Augusto Antunes	Kunumi	Alzheimer's disease, Deep Learning
Zhang Aoshuang	university of science and technology of China	ADNI, machine learning, fMRI
Mazin Aouf	Western Sydney University	Medical Research Datasets
Li Yew Aow Yong	Universiti Teknologi Malaysia	classification
Chatchawit Aporntewan	Chulalongkorn University	Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova	IU	AD biomarekrs
Frank Appiah	University of Kentucky	biomarkers related to all forms of dementia
Dace Apsvalka	Medical Reseach Council	Hippocampus
abazar arab	K.N.Toosi	AD detection functional fmri
wasana madushanka arachchi	General Sir John Kotelawala Defence University	VBM, DBM, Alzheimers, controls, aging
Miguel Ángel Araque Caballero	Klinikum der Universität München	MRI, PET, DTI, APOE, amyloid-beta
Adriel Araújo	Pontifícia Universidade Católica do Rio Grande do Sul	Research.Alzheimer.Study
Mohammad Arbabyazd	INS	reconstruction, virtualisation
Pablo Arbelaez	Universidad de los Andes	classification
Kellie Archer	The Ohio State University	ordinal response; discrete response; high-dimensional data; penalized methods
Babak Ardekani	Nathan Kline Institute	MRI; Corpus callosum; shape analysis;
Eleni Aretouli	University of Deusto	intraindividual variability
Konstantinos Arfanakis	Illinois Institute of Technology	diffusion, DTI, registration
Jocelyn Argueta	University of Southern California	BRCA1, women's risk, genetic analysis, SNPs, gene expression
Ivan Arisi	Fondazione EBRI “Rita Levi-Montalcini”	Alzheimer, dementia, prediction, Decision Support System
Steven Armentrout	Parabon Computation	MDR, epistatis, cloud computing
Steven Arnold	University of Pennsylvania	cerebral reserve
Matthias Arnold	Helmholtz Zentrum München	gaussian models, data integration, network analysis
Steven Arnold	Massachusetts General Hospital	insulin, cholesterol, hypertension, hippocampal atrophy, amyloid, tau, leptin
Salim Arslan	Imperial College London	machine learning, dementia, Alzheimer’s disease
Emilio Artacho-Perula	University of Castilla-La Mancha	Alzheimer, Euclidean distances, MRI
Christoph Arthofer	University of Nottingham	MR brain segmentation
Zobair Arya	University of Oxford	Diagnosis, machine learning, temporal modelling, multi-modal analysis
Carlos Asensio Pizarro	UAM	Alzheimer DNN
Wes Ashford	Stanford	leptin, Alzheimer, blood, dementia
Azhaar Ashraf	Imperial College London	Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Kathleen Askland	Butler Hospital/School of Medicine, Brown University	analytic methods, machine learning, genetics
Per Aslaksen	University of Tromsø	Alzheimer, freesurfer, tDCS
Eric Aslakson	Poiema, LLC	adni transmart
Toshihiko Aso	Kyoto University Graduate School of Medicine	BOLD signal, cerebral blood flow, venous drainage
Michele Astphan	Rhode Island Hospital	request
Dimitrios Ataloglou	Aristotle Univercity of Thessaloniki	hippocampus segmentation, convolutional neural networks
john atanbori	University of Lincoln	Classification
Meltem ATAY	MIDDLE EAST TECHNICAL UNIVERSITY	Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Argus Athanas	UCSD	GWAS, Glaucoma, Controls
Roozbeh Atri	Florida International University	MRI Alzaimer process
April Au	University of Toronto	estrogen, sex differences
Maike Aurich	Université du Luxembourg	Metabolic modeling, metabolomic data
brian avants	Biogen	brain, thickness, ANTs, conversion, amyloid
Tzvi Aviv	AvivInnovation	caspase-6, app, tau,
Niharika Awasthi	Ashok and Rita Patel Institute of Integrated Study and Research in Biotechnology	Clinical assessment data, demographic data
suyash awate	IIT Bombay	segmentation evaluation
Aymen Ayaz	National University of Science & Technology, Islamabad Pakistan	classifier, automatic, MRI, early, diagonosis, Alzheimer
Yesim AYDIN SON	Middle East technical University	Data mining, Hybrid Methods, SVM-ID3
Dogu Baran Aydogan	INI / USC	T2, hippocampus
Murat Ayhan	Isik University	predictive modeling; Bayesian classification; deep learning
Scott Ayton	University of Melbourne	CSF amyloid b, tau, heart rate, blood pressure
Nasir Aziz	Leiden University Medical Center	body weight
ADEL AZIZ	RIVERSIDE REGIONAL MEDICAL CENTER/ EDWARD VIA COLLEGEOF OSTEOPATHIC MEDICINE	sex incidence, atypical Alzheimer Dementia
Elham Azizi	Pereleman School of Medicine, University of Pennsylvania	ASL, Signal processing
Mohd Hafrizal Azmi	Universiti Putra Malaysia	PET/CT, AD classification
Maowen Ba	Yantai Yuhuangding Hospital	rpAD;Prevalence;Biomarker
Kevin Bach	IUPUI	Neuroscience
alexandra badea	Duke CIVM	mri, imaging, analysis
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
Yuchen Bai	Janssen Research and Development	Methylation, Biomarker, Disease Progression
Haoli Bai	UESTC	classification
Geoffrey Baird	University of Washington, Seattle	Biomarkers
Zhang Baiwen	Beijing University of Technology	AD,MCI,classification,big data mining
Elizabeth Baker	King's College London	AD progression, rate of cognitive decline
John Baker	Janssen R&D	Diagonsis, Progression, Biomarkers
Arnold Bakker	Johns Hopkins University	Entorhinal Cortex
Erika Ball	Duke University	"Quantile Regression" "Statistical Modeling" "Hippocampal Atrophy"
Miguel Ángel Ballén Galindo	National University Of Colombia	IMR DataBase Alzheimer´s Trastorn Investigation Software Mathematics
chao ban	University College London	diagnosis machine learning
Amin Banaei	AJA university of medical sciences	Alzheimer disease, early detection
Dipankar Bandyopadhyay	Virginia Commonwealth University	DTI, tensor regression, spatial methods
Ki Hun Bang	Yonsei Univ	What do you mean the Keywords?
SungKyu Bang	Hanyang University	Medical Imaging
Katherine Bangen	University of California, San Diego	vascular risk, cerebral blood flow, amyloid
Sarah Banks	Cleveland Clinic	CSF neuropsychology
Leonie Banning	Maastricht University	Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
wan yun Bao	National taiwan university	using statistical model to classify MRI pattern
Rita Barakat	University of Southern California	Stroke, TBI, brain injury, neurodegeneration, therapy
Eduardo Barbará	Universidad Autónoma Metropolitana (UAM)	image processing data analize
Philip Barber	University of Calgary	stroke; TIA; brain atrophy; dementia
Robert Barber	University of North Texas Health Science Center	Alzheimer's disease genetics
Flavia Roberta Barbosa de Araujo	Federal University of Pernambuco	Machine Learning, Alzheimer, GWAS, Tools, SNPs
Josephine Barnes	UCL Institute of Neurology	hippocampus, whole brain
Jennifer Barredo	Brown University/VHA	PTSD, depression, TBI, fMRI
Olivier Barret	IND	PVC, centiloid
Matthew Barrett	University of Virginia School of Medicine	Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
Barsam Barsamian	Loma Linda School of Medicine	MRI, DTI, NODDI, Alzheimers, AD
Andrey Barsky	University of Nottingham	brain extraction, segmentation, reliability
Fabian Bartel	VU University Medical Center	hippocampus segmentation, harmonized hippocampus segmentation protocol
Jakub Bartoszewicz	Adam Mickiewicz University	vGWAS, SNP, genome, brain structure, neuroinformatics, genomics
David Bartram-Shaw	AIMIA	kaggle
Caroline Barwood	University of Nottingham	Alzheimer's
Arshitha Basavaraj	National Institute of Technology, Karnataka,Surathkal	volume of grey matter and hippocampal region, MRI, fMRI, default net.,algorithm
Suryakanth Basavaraj	BMSITM	MRI,PET
Shaik Basheera	Research Scholar, Department Of Electronics and Communication Engineering, A.N.	Brain Disorders
Ahmed Basiouny	alexandrie university	brain cancer,mri
BHUVANESHWARI BASKARAN	SSN COLLEGE OF ENGINEERING	MEDICAL IMAGE PROCESSING
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
Vanshika Bawa	Delhi Technological University	Alzhiemer's disease diagnosis, PET scan analysis
Peter Bayley	VA Palo Alto Health Care System,	CYP191A, hippocampus, apoe4, neuropsychology
Ali Bayram	Istanbul University	Field map
Yakoub Bazi	King Saud University	machine learning, artificial inteligence
Thomas Beach	Banner Sun Health Research Institute	gender; sex; Alzheimer's disease; atrophy; cortex; cerebrum; hippocampus
Derek Beaton	Baycrest	partial least squares, multivariate, genetics
Kristin Beaudoin	American University	Alzheimer's, DNA data, sample
Christian Beaulieu	University of Alberta	DTI, ExploreDTI, tract-specific analysis, registration, MATLAB
Helen Beaumont	University of Manchester	diffusion DOC atlas
Rodrigo Bechelli	Centro universitário da FEI	machine learning, wavelet
Cassiano Becker	University of Pennsylvania	networks, spreading processes, compartmental models, alzheimer's disease
Laurel Beckett	UC Davis	Biostatistics
Alun Bedding	AstraZeneca	Longitudinal disease progression
Simone Beer	Forschungszentrum Juelich	quantitative PET
Joanne Beer	University of Pittsburgh	prediction, statistics
Mirza Faisal Beg	Simon Fraser University	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
Nadia Belichenko	Stanford	AD
Maura Bellio	University College London	graphic user interface; MRI; disease progression models; neurodegenerative
Mikhail Belyaev	Skolkovo Institute of Science and Technology	disease progression, machine learning, data fusion
Shane Bemiller	IUPUI	Inflammation, Alzheimer's Disease, Aging, TBI
olfa ben ahmed	National Engineering School of Sfax	image indexing, AD detection
Fayçal Ben Bouallègue	Montpellier University Hospital	amyloid PET, quantification, texture, morphology
Michael Benedikt	Oxford University	data integration
Jared Benge	Baylor Scott and White Health	Cognition, memory, psychometrics
Andreana Benitez	Medical University of South Carolina	MoCA, Item Response Theory
Jose María Benlloch	Spanish Reseach Council	beta-amyloid plaques, brain PET detector, Alzheimer, classification algorithms
Marianne Benn	Copenhagen University Hospital	LDL cholesterol
Miled basma bentaiba	ESI	medical diagnosis, case based reasoning, randomisation
El Mehdi Benyoussef	FSAC	Deep Learning, CNN, BET, Alzheimer, IRM Analysis
Tammie Benzinger	Washington University	MRI
David Bergeron	Université Laval	MMSE, MoCA, conversion, screening
Alaa Bessadok	High institute of management - Gabes - Tunisie	Big data, healthcare, classification, prediction, alzheimer disease
John Best	University of British Columbia	forecasting, TADPOLE, regression-based prediction
Richard Betzel	University of Pennsylvania	complex networks, control theory, neurodegeneration
Mauritz Bezuidenhoudt	Novartis	Composite endpoint
Nikhil Bhagwat	University of Toronto	Machine Learning, Biomarkers, Classification
shailesh bhalerao	G.H.Raisoni College of Engineering, Nagpur	imaging disease biomarker development
Anindya Bhandari	Indian Institute of Technology, Kharagpur	SNP, Alzheimer's, trends
kusum bharti	PDPM-IIITDMJ	machine learning, feature selection, biomarker
Harsh Bhasin	Jawahar Lal Nehru University	MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
Pushkar Bhatkoti	Charles Stuart University	ADANI dataset KSA
Priya Bhatt	University of Southern California	genetics, gwas, pwas, parkinsons, alzhiemer's disease
Priya Bhatt	Oregon Health and Science University	gwas, alzheimer's disease, statistics
Sudeepa Bhattacharyya	University of Arkansas for Medical Sciences	Metabolomics, Bioinformatics, Omics, Statistics
Jinbo Bi	University of Connecticut	Machine learning; Deep learning; Heritable component analysis;
Harvy Bi	Biomedical and Information Engineering	PET image data
Rene Bidart	Waterloo	CNN
Murat Bilgel	National Institute on Aging	FDG, amyloid, DTI, MRI, atrophy, longitudinal
Thibo Billiet	KU Leuven	default mode network
Jake Billings	University of Colorado Denver	TensorFlow, machine learning, cnn, cvolutional neural networks
yang bin	guilin electric technology university	MRI image
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
Shameek Biswas	Celgene	genetics, progression, biomarkers, imaging
David Bjelke	The Feinstein Institute for Medical Research	CMRglu, ROI
Sandra Black	Sunnybrook Research Institute	MRI Volumetry, Alzheimer disease progression
Jennifer Blackwood	University of Michigan-Flint	MCI, neurological exam, vital signs
Elise Blaese	IBM Research	NIA GCAD Watson
James Blair	University of Virginia	Cognitive Impairment, Structure, T1
Gilles Blanchard	University of Potsdam	Data analysis, Statistics, Machine learning, patient adaptive prediction
Daniel Blezek	Isomics, Inc.	radiomics, machine learning
Yannick Bliesener	University of Southern California	MRI, image denoising, machine learning, unsupervised learning
Toby Bloom	New York Genome Center	Alzheimers Disease, centenarians, Ashkenazi
Jenna Blujus	UWM	Alzheimer's disease
Dominik Blum	University Hospital Tuebingen	Parkinson, Cognition, FDG, denoising
Jan Krzysztof Blusztajn	Boston University School of Medicine	CSF, plasma, biomarkers
jun bo	Northeastern University	Alzheimer classification
wu bo	Beihang University	image retrieval
Ravi Boda	Osmania University	MRI segmentation, Bias field estimation
Ronald Boellaard	University Medical Center Groningen	Image methodology, quantification, processing, classification
Piotr Bogorodzki	Warsaw University of Technology	LDA, SVM, freesurfer, VBM
Arun Bokde	Trinity College Dublin	MRI, grey matter, volumetric, hippocampus
Ehsan Bolhasani	Institute for research in fundamental sciences	Multimodal fusion
Borna Bonakdarpour	Northwestern University	Resting state fMRI, language network
Matthew Bonazzoli	Macalester College	Alzheimer's Disease, Machine Learning, Aging
Ana Bondioli	University Center Eniac	IA, Diagnosis
Alexandre Bône	ICM (Brain and Spine Institute)	statistical learning, longitudinal data sets, classification, prediction
Luke Bonham	Johns Hopkins University	normal pressure hydrocephalus, Alzheimer's disease, mild cognitive impairment
Jennifer Borkowsky	Genentech	biomarkers
Danielle Borrajo	University of Southern California	neuroimaging, genetics
Isabelle Bos	Maastricht University	Amyloid based cognitive norms
Paolo Bosco	INFN	Alzheimer's Disease, network analyses
Zoran Bosnić	University of Ljubljana	Alzheimer; data mining; computer science; decision support
Nicholas Bott	University of California San Francisco	cognitive aging; structural imaging; inflammation
Renato Botter Maio Lopes Rodrigues	UNICAMP	machine learning
amani boughanmi	Higher Institute of Applied Sciences and Technology of Sousse	AMANIISSATSO2017
haralabos bougias	university hospital	dti
Thomas Boulier	INSERM	tauopathy, mathematics, numerical simulation
Pierrick Bourgeat	CSIRO ICT Centre	Segmentation, registration, longitudinal study
Jenna Bourgeois	Washington University	Biomarkers, alzheimers, neuroscience
Jessica Bourgin	Université Savoie Mont Blanc	Amygdala; Attentional network
Samira Bouyagoub	NHS national health service UK	CJD; DEMENTIA, SCJD
Mike Bowes	Imorphics Ltd	automatic identification measurement sub-cortical
Chris Bowles	Imperial College London	generative adverserial network, latent encoding
Richard Boyes	Renishaw PLC	segmentation, surgical planning
Andrea Bozoki	Michigan State University	FDG-PET; PIB-PET; Alzheimer's disease
Tyler Bradshaw	University of Wisconsin	attenuation correction
Joana Braga Pereira	Karolinska Institute	CSF, MRI
yoann brahami	ariel university	HarP 135 final release
Simona Maria Brambati	Institut universitaire de gériatrie de Montréal	VBM, Gray matter, Structural covariance
Jose Bras	UCL, Institute of Neurology	Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie	UCLA	connectivity, APOE, clusterin, cardiovascular
Ralph Brecheisen	Maastricht University	Cloud computing, machine learning, Alzheimer
Noa Bregman	Tel Aviv Medical Center	verbal fluency
James Brewer	UCSD	subregional change MRI, PET
Alexia Briassouli	Centre for Research and Technology Hellas	MRI, PET, dementia, mci, cohorts
Adam Brickman	College of Physicians and Surgeons, Columbia University	white matter hyperintensities, PIB, amyloid
Robert Bridges	Aegis Imaging Consultants	Hypometabolism
nabila BRIHMAT	Inserm	resting-state, networks,
Benjamin Brinkmann	Mayo Clinic	epilepsy, PET, MRI
Markus Britschgi	Roche	new bioinformatic tools, correlating pathology with plasma proteins
Thomas Broers	Leiden University	Feature extraction, SVM, classification, neuroimaging data
Esther Bron	Erasmus MC	Classification
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
Tao Bu	The First Affiliated Hospital of Xinjiang Medical University	serum folate concentration; mortality; alzheimer's disease
Seok-Jun Bu	Yonsei University	machine learning, deep learning
Giovanna Bubbico	ITAB, Institute for Advanced Biomedical Technologies	DTI bilingualism normal aging
Peter Bubenik	University of Florida	topological data analysis
OMONIGHO BUBU	UNIVERSITY OF SOUTH FLORIDA	sleep deprivation, Alzheimer's Disease, beta-amyloid
Daniel Buchanan	Briar Woods High School	Alzheimer's disease, data, machine learning, prediction, bioinformatics
Hans-Georg Buchholz	University Medical Center	NEUROSTAT, SPM12
Bradley Buchsbaum	Baycrest Centre for Geriatric Care	fMRI PET correlation
Katharina Buck	Roche Diagnostics	Elecsys CSF Measurements
Rachel Buckley	Massachusetts General Hospital/Harvard Medical School	subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Charley Budgeon	University Of Western Australia	Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Derek Buhl	Pfizer	Alzheimer's
Manuel Buitrago Sánchez	Universidad de Sevilla	ImageJ PER
Saurabh Bundela	Abbvie	computational biology, biomarkers, statistics, bioinformatics
Saurabh Bundela	Independent Research	computational biology, bioinformatics
Irina Burciu	University of Luebeck	manifold sensing, Alzheimer disease, classification
Ninon Burgos	University College London	PET synthesis
Shanna Burke	Florida International University	Alzheimer's disease, neurodegfeneration, amyloid
Michael Burke	Council for scientific and industrial research	Machine learning, dementia prediction
Katherine Burn	University of Melbourne	cognition; inflammation; amyloid
Jeffrey Burns	University of Kansas School of Medicine	body mass index, diabetes, hippocampal atrophy, whole brain atrophy
Gully Burns	USC ISI	Knowledge Engineering, Semantic web, Information Integration.
Tomasz Burzykowski	Center for Statistics	biomarker, Alzheimer's disease, biostatistcs
William Bush	Case Western Reserve University	Loss of Y, Copy Number
John Bush	NEU	Alzheimer
Stephanie Buss	Beth Israel Deaconess Medical Center	cognitive reserve, exercise, education, music, social
Bradley Butcher	University of Sussex	Deep Learning Alzheimer
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
Yuliana Cabrera	University of Southern California	ADNI
Cristóbal Cabrera	Universidad Rey Juan Carlos de Madrid	grapht algorithm
María Nieves Cabrera	Hospital Clínico San Carlos	Posterior cortical atrophy, Alzheimer desease, FDG, amyloid PET
Ylermi Cabrera-León	Universidad de Las Palmas de Gran Canaria	Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
ANGEL CADENA	UDEM	Alzheimer, MSI, ethnicity
winda cahyaningrum	UB	Brain Tumor
Siqi Cai	Shenzhen Institutes of Advanced Technology	fMRI, functional network, topological property
Zhen-nao Cai	northwester polytechnical university	machine learing, data mining
erik cai	wenzhou university	multimodal neuroimaging
Nigel Cairns	Washington University	neuropathology
Tomas Cajka	University of California, Davis	LC-MS, lipidomics
Matthew Calamia	Louisiana State University	mild cognitive impairment, neuropsychiatric symptoms, dementia
Maria Eugenia Caligiuri	Università "Magna Graecia" di Catanzaro	neuroimaging, digital image processing
Christopher Calixte	Duke University	Alzheimer's early detection cognitive impairment
Frederic Calon	Universite Laval	Alzheimer
Briana Cameron	Yale University	composite measure, sensitive, early AD
JOSE ANTONIO CAMPOS LOPEZ	Universidad Politecnica de Madrid	hippocampal atrophy alzheimer
HONGLIU CAO	INSA ROUEN	Random Forest, dissimilarity, heterogeneity
Jiguo Cao	Simon Fraser University	brain network, QTL mapping
Yan Cao	University of Texas at Dallas	image analysis
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
John Caporelli	Cleveland Clinic Lou Ruvo Center For Brain Health	MRI upload
Arvind Caprihan	Mind Research Network	WMH, Diffusion, Connectivity, Cortical damage
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
Greg Carter	The Jackson Laboratory	epistasis, pleiotropy, genetic association
Janessa Carvalho	Brown University	Friday Harbor
carolina carvalho	UFF	AD MCI NC
Luis Carvalho	Boston University	imaging genetics, gwas, latent genotype, spatial genomic models
Francesco Paolo Casale	Microsoft	GWAS, images, statistical testing, multi-trait
Adrià Casamitjana	Universitat Politència de Catalunya	PhD, machine learning, bioengineering, early stage of AD
Ramon Casanova	Wake Forest University School of Medicine	Machine Learning, Regularization
David Cash	University College London	familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Pete Castelluccio	Eli Lilly and Company	alzheimer
Isabella Castiglioni	National Reserach Council	AD, MCI, image classification, diagnosis, MRI, PET
Carrie Caswell	University of Pennsylvania	joint modeling, left truncation, longitudinal, time-to-event
Liam Cattell	Oxford University	Registration
Franco Cauda	University of Turin	damage network, Bayesian statistic, Alzheimer’s Disease
Ileana Cepeda	Kansas State University	Analyzing Data
Jonathan Cerna	Iowa State University	Pyruvate Kinase, CSF, biomarkers, AD, MCI, CN
Alper Çevik	Middle East Technical University	Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Halil Çevik	Izmir Katip Celebi University	ADNI,MRI,image processing,vbm,spm
Jungho Cha	University of California San Francisco	tau, pib
Jiook Cha	Columbia University Medical Center	deep learning
JONATHAN CHACON	California State University, Fullerton	ADN; Alzheimer's Disease; APOE; genome-wide association studies (GWAS)
Maria Chagoya	Universidad de Monterrey	RM images, thesis
Shreya Chakrabarti	Indiana University School of Medicine	imaging, genetics, biomarkers
Shouvik Chakraborty	University of Kalyani	MRI, Image Segmentation, ANN
Takwa Chammam	National School of Engineering, Gabès,TUNISIA	Alzheimer, hippocampus segmentation
Wang Pong Chan	UCLA	Alzheimer's, Age, Income, Lifespan, Music, Eating
Christina Chan	Michigan State Univ.	NCI-DREAM 8.5
Ganesh Chand	Emory University	healthy control, MCI and AD
Mritula Chandrasekaran	Christ University	Brain Cognition
RUI CHANG	Icahn School of Medicine at Mount Sinai NY	Systems biology
Che-Wei Chang	National Taiwan University	machine learning, MRI, DTI, rs-fMRI
Catie Chang	National Institutes of Health	resting-state fMRI, spontaneous activity, dynamics
Yu-Ming Chang	Beth Israel Deaconess Medical Center/Harvard Medical School	Alzheimer's, temporal horn, ventricle
Yu-Chuan Chang	National Taiwan University	Alzheimer, Data Mining
Hyunggi Chang	University of Warwick	magnetic resonance imaging, artifacts
ki jung chang	ajou university school of medicine	late life depression, dementia, MCI, conversion
Steeve Chantrel	Olea	brain segmentation
Linda Chao	UCSF	PIB, MCI, cognition
Justin Chao	The University of Texas at Austin	databases
fadoia chaouech	Higher Institute of Management of Gabes	fadoia1993
Marianne Chapleau	Centre de recherche de l'institut universitaire de gériatrie de Montréal	HarP
Arnaud Charil	Eli Lilly and Company	MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Pratishtha Chatterjee	Macquarie University	plasma ferritin, serum ferritin, iron, brain amylid load
Sambit Chatterjee	BITS Pilani, Hyderabad Campus	gwas, gpu, elastic map reduce, paralleization
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
Xi Chen	The University of Texas at Dallas	machine learning, prediction
Shuzhong Chen	Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences	MRI
Jun Chen	University of Michgan	data fusion
bo chen	Fudan University	neural network,complexity
Gennan Chen	Synarc	Segmentation
Xing Chen	Pfizer	genetics
Jason Chen	University of California, Los Angeles	Network analysis, TBM, personalized medicine
Jianhong Chen	Pennsylvania State University	deep learning, convolutional neural network, classification of AD
Rong Chen	Icahn School of Medicine at Mount Sinai	protective allele, Alzheimer's disease
Haiwei Chen	UQ	correction
GENG CHEN	soochow university	Discriminative dictionary learning;Sparse representation;Structural MR images
Guanhua Chen	University of North Carolina at Chapel Hill	Classification, latent subclass
Xi Chen	UT Arlington	3D brain image registration
Yin Jie Chen	University of Pennsylvania Perelman School of Medicine	Alzheimer's disease, multimodality, longitudinal
Ningxuan Chen	Chinese Academy of Science	deep learning, classifer
Robert Chen	Washington University St. Louis	ADNI deep machine learning
Tzu-Chieh Chen	UC Berkeley	MRI, machine learning
SY Chen	Emory University	Classification
chenbingyao chen	china	registration, compare of registration methods, evaluate
Xin Chen	Merck	disease measurements, time of progression, MMSE, CDR, sensitivity
Jerome Chen	Chang Gung University	Deep Learning, Alzheimer’s Disease, MRI, FMRI
Kaifeng Chen	University of Michigan	DTI
Jean Chen	Baycrest	diffusion, cortical thickness
Gang Chen	Medical College of Wisconsin	fMRI, MRI
Ming-Hui Chen	University of Connecticut	Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Hsu-Hsin Chen	Genentech	Alzheimer's Disease
Ting-Huei Chen	Laval University	structural equation modeling
Ing-jou Chen	Chang Gung University	AV-45, PET, AD, PCA, SVM
Fang Chen	jackson state university	image deep learning Alzheimer's
Hugo Chen	National Yunlin University	machine learning
Ying-Hsiang Chen	Bioinfotronics Research Center	Intelligent, cloud computing, infrastructure
Kewei Chen	Banner Alzheimer Institute	PET SPM image-derived input function,
Wai Ho CHENG	The Hong Kong Polytechnic University	AD and mild cognitive impairment
Danni Cheng	Shanghai Jiao Tong University	convolutional neural network,Alzheimer's disease, Deep learning,
Yong Cheng	NIH	Review data
Hewei Cheng	School of Informatics	AD, MCI, fMRI, DTI, MRI
Yang Cheng	University of Shanghai for Science and Technology	DTI
zhang cheng	chongqing university	zc19930227
Tanya Chenhall	Cogstate	Cogstate
Joy-Loi Chepkoech	University of Oslo	Cognition, research assistant
Venkateswararao Cherukuri	PENNSTATE UNIVERSITY	Super resolution
Aparna Chhibber	Merck Research Labs	biomarker genetic
Chih-Lin Chi	Univ of Minnesota	machine learning, optimization, personalized care, translational research
haoyuan chi	sjtu	deep learning, feature representation
Gloria Chiang	UCSF	DTI
Patrizia Chiesa	ICM	rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Daniel Micah Childress	UPENN	web application, programming
Yogitha Chilukuri	University of Pennsylvania	Alzheimer, Machine Learning
Cherise Chin Fatt	University of Texas at Dallas	dissertation, fcMRI, cortical thicknes
Andrea Chincarini	INFN	longitudinal studies, MCI, network, atrophy measurements
Christopher Ching	UCLA	Urgent request for access
Konstantinos Chiotis	Karolinska Institutet	AD, MCI, PIB, FDG, AV-45
Soo Hyun Cho	Sam Sung Medical Center	Amyloid PET
Sooyun Cho	Seoul National University	normal aging, culture, education
yongrae cho	kaist	sparse spm
Yeoreum Choi	KAIST/South Korea	domain adaptation
Euna Choi	Seoul National University	DTI TBSS Early detect of Alzheimer's disease.
Jun-Sik Choi	Korea University	Deep Learning
Sophia Choi	Asan Medical Center	PET data
Jaesik Choi	Ulsan National Institute of Science and Technology	Deep Learning, Recurrent Convolutional Layers.
Hongyoon Choi	Cheonansi Public Health Center	Metabolic network, FDG, Amyloid
Yong-Ho Choi	hanyang university	Imaging genetics
IL Han Choo	Chosun University	Early detection, Alzheimer disease, Biomarker, Combination
Sidhant Chopra	Monash University	Myelin mapping Sub-cortical
Vishal Chopra	JCVC Inc.	Artificial Intelligence, MRI Scans, Alzheimer's
Jill Chotiyanonta	AnatomyWorks, LLC	Brain MRI, Neuroanatomy, Segmentation
Hiba Chougrad	CHOUAIB DOUKKALI UNIVERSITY	computer-aided diagnosis; Brain MRI; Alzheimer’s disease, Deep learning
Vincent Chouraki	Institut Pasteur de Lille	GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Lauren Christensen	University of Southern California	brain
Amanda Christini	Blackfynn, Inc	Algorithms, data integration, multimodal data biomarkers
yufang chu	NCTU	feature selection,genetic algorithm
Tzu-Chao Chuang	National Sun Yat-Sen University	cortical thickness, hippocampus subfield, MRI
luo chuanji	UESTC	Brain medical images, texture feature, morphometric feature, multi-feature comb
Yu chuanjian	Xiamen University	rearch
Marvin Chun	Yale University	functional connectivity
Sung Chun	Brigham and Women's Hospital	Heritability, fine-mapping
Yu-Min Chung	College of William and Mary	computational topology, topological data analysis
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
Darya Chyzhyk	Inria	connectome, functional connectivity
Adam Ciarleglio	NYU Medical School	predictive model, MCI, cognitively normal, baseline clinical measures
Ozkan Cigdem	EMU	parkinson disease, machine learning
Meric Cansu Cinar	Acibadem University	R-fmri, mild cognitive deficits, cognitive tests, resting state networks
Cindy Cindy	CUHK	DWI, voxel size, fiber tracking
Claudia Cioli	INSERM-CNRS	multivariate analysis, imaging, genetic, clinical
Corrado Cittanti	Nuclear Medicine Section	Amyloid, Florbetapir, Quantification, PET, Alzheimer's Disease
Ana Cives	University Hospital of Santiago de Compostela	normal patients MRI
Steven Clapp	Indiana University School of Medicine	MRI, PET, medication
Marissa Clark	University of Maryland	ADNI
David Clayton	Genentech	image processing, Alzheimer's disease, MRI
Mark Clement	Brigham Young University	DREAM Challenge
Daniel Clifft	Argus	BCI, CBI, Virtual Reality
Sharlee Climer	Washington University in St. Louis	epistasis, genetic heterogeneity
Jessica Cloud	McGill University	working memory, default mode network, resting state
Sean Clouston	Stony Brook University	Statistical methods, Alzheimer's disease, brain structure and function
David Clunie	PixelMed Publishing and RadPharm, Inc	DICOM compression
Taco Cohen	University of Amsterdam	machine learning, deep learning, classification, alzheimer's disease
Phoebe Cohen	University of Southern California, Keck School of Medicine	PheWAS, neuroimaging
Michael Cole	Rutgers University-Newark	cognitive control, resting state
James Cole	Imperial College London	Aging, Machine learning, T1, DTI
Diego Collazos-Huertas	Universidad Nacional de Colombia sede Manizales	Deep Learning, Convolutional Neural Networks, Data Representation
Patrick Colletti	USC	Dementia; FDG PET; MRI volumetry
Meghan Collier	Brown University	cognitive, Trails B, predictors, dementia, AD, biomarkers
Joanna Collingwood	University of Warwick	Biomarkers Across Neurodegenerative Diseases Collingwood
Robert Comley	Abbvie inc	PET, MRI
Bryan Conklin	VoxelRx & Florida Atlantic University	machine learning, neuroscience, neural network, deep learning
Lindsay Conner	UCF	Aging, Decision Making, PFVMC, fMRI
Joanne Conover	University of Connecticut	Aging, Alzheimer's disease, MRI, FLAIR-MRI
Ivona Contardo-Berning	Stellenbosch University	Multi-label classification
Ronan Conway	National College of Ireland	alzheimers dementia
Agata Copani	University of Catania	beta-amyoid, cell cycle genes
Giovanni Coppola	UCLA	genetic genomic biomarkers
Syl Corbett	University of Calgary	hippocampus
fabian Corlier	University of Southern California	systemic inflammation, covariance structure analysis, brain structural integrity
Rui Correia	Institute of Biophysics and Biomedical Engineering	Functional Metabolic Alzheimer PET
Joshua Cosman	Pfizer	Alzheimer's, Biomarker
Sebastian Costantino	Instituto Radiologico	medicine faculty FASTA Argentina
Sebastian Costantino	Instituto Radiologico	Alzheimer learning teaching
Olivier Coubard	CNS-Fed	Neuropsychology, Aging, Eye movements, Vision
Elizabeth Coulson	The University of Queensland	mechanisms of neurodegneration
Pierrick Coupé	LaBRI UMR 5800	hippocampus
Elizabeth Couser	University of Maryland, Baltimore	imaging, Alzheimer's
Kris Cox	CNPRC	tau
Patrick Coyle	Temple University	LASSO, variable selection, post-selection inference, manifold learning
Cameron Craddock	Nathan Kline Institute	computer vision, deep learning, quality assessment, skull stripping, segmentatio
Paul Crane	University of Washington	genetics, example data set for learning, Friday Harbor
Karen Crawford	USC	That
Karen Crawford	UCLA Laboratory of Neuro Imaging	None
Byron Creese	King's College London	polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
Ivor Cribben	University of Alberta	Networks; Longitudinal networks; Resting state
Alessandro Crimi	University of Zurich	radiogenomics
Theodore Crisostomo-Wynne	Walter Reed National Military Medical Center	anticholinergics, cognition
Nicolas Crossley	P. Catholic University of Chile	resting-state fMRI, VBM, structure and function relationship
Etienne Croteau	CRCHUS Sherbrooke University	PIB, concussion, MRI
Carlos Cruchaga	Washington University School of Medicine	CSF, plasma, RBM, GWAS, whole-genome
Math Cuajungco	California State University Fullerton	Neuroscience
Jing Cui	Centre hospitalier universitaire vaudois	The Human Brain Project
sue Cui	Southern Medical University	DTI analysis
NICHOLAS CULLEN	UNIV. OF PENNSYLVANIA	CCA
Tia Cummins	University of Melbourne	neuropsychology
Daniel Cuneo	UCSF	Morphometry, cortical thickness, freesurfer, nonlinear longitudinal registration
vicente cutanda	oncovision	Molecular image
Max Cynader	University of British Columbia	Alzheimer's Disease, machine learning, cognitive impairment risk
binu D	Anna	Alzheimer'
Giovanni d'Avossa	Bangor University	Brain Atrophy, Hippocampus, Cerebellum
Ravi Dadsena	IIT Madras	MRI, CFD Models, Alzheimers
Ning Dai	University of Minnesota	regional homogeneity; fMRI data analysis; longitudinal
Tian Dai	emory university	prediction, connectivity
Weiying Dai	Binghamton University	ASL and fMRI resting state and fMRI task
Hui Dai	Keck hospital of USC	PICALM; cognition; functional networks; neuroimaging
Davied Hong Daivied Hong	South China University of Technology	classification
Marko Dakovic	FFH	freesurfer cortical thickness segmentation
Adrian Dalca	Massachusetts Institute of Technology	medical image analysis, genetics, DREAM challenge
stefano damiani	The Royal Hospital	Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Mouna DAMMAK	National Engineering School of Sfax	Alzheimer ; segmanttaion; classification; sparse coding
Jessica Damoiseaux	Wayne State University	functional connectivity, hippocampus, cognition
Zou Dan	Fudan University	Functional connectivity
Shilpa Dang	Indian Institute of Technology Delhi	fMRI, DTI, effective connectivity
Christa Dang	University of Melbourne	cognition, MRI, APOE, longitudinal, biomarkers
Zinkert Daniel	Uva Wellassa University	Brain, Cortical Thickness
Fabrice Danjou	Institut du Cerveau et de la Moelle-épinière (ICM)	Mitochondrial DNA; Neurodegenerative Diseases; Whole Genome Sequencing
Eveleen Darby	Baylor College of Medicine	Alzheimer Disease
Ryan Darby	BIDMC	cognitive reserve, executive, semantic, neuroimaging
Agnieszka Dardzinska	Bialystok University of Technology	database, data mining, KDD
Burcu Darst	University of Wisconsin, Madison	Alzheimer's disease, cognitive function, metabolomics
Caroline Dartora	PUCRS	Brain Connectivity, Alzheimer's Disease, MRI, PET
Sultan Darvesh	Dalhousie University	Alzheimer, MCI, FDG-PET, amyloid-PET, SUVR, early biomarker
Sandhitsu Das	University of Pennsylvania	hippocampus MCI
Dulumani Das	Gauhati University	Image Processing . segmentation. MRI.
Devsmita Das	Stanford University	morphometry, MRI, MTT, Alzheimer's disease
Kalyan Das	University of Calcutta	categorical,miscategorization, missing ness,
Manoranjan Dash	A*STAR	Heterogeneous Data analytics, diagnosis
Shounak Datta	ISI Kolkata	Neural Networks
Jérôme Dauvillier	SIB - Swiss Institute of Bioinformatics	Epistasis
Christos Davatzikos	University of Pennsylvania	classification, MCI, conversion to AD
Bensamoun David	university hospital of Nice	morphometry, longitudinal, imagery, neuropsychiatry
Erast Davidjuk	University of Colorado Denver	MRI, PET, cognitive tests, statistics analysis, computational modeling
Ian Davidson	U.C. Davis	machine learning, networks
DR INDRAJIT DE	MCKV INSTITUTE OF ENGINEERING	PCNN, NSCT TRANSFORM, MEMBERSHIP DEGREE
Debraj De	Smart Health Beacons LLC	deep learning, cognitive health
Renske de Boer	Quantib B.V.	evaluation, segmentation
Marleen de Bruijne	Erasmus Medical Center	image analysis
Maya de Buhan	Centre National de la Recherche Scientifique	facial reconstruction
Mariana de Carvalho Pereira	State University of Campinas	CNN network, AD biomarkers, AD
Philip De Jager	Brigham and Women's Hospital	Cognitive reserve
Nuño de la Concha Vega	UC3M	Alzheimer. Machine Learning. Data Base.
Siemon de Lange	University Medical Center Utrecht	connectome, structural connectivity, Alzheimer, MCI
Vincenzo De Luca	University of Toronto, Centre for Addiction and Mental Health	AD, Age at onset, GWAS
Rodrigo de Luis Garcia	Universidad de Valladolid	DTI, structural connectivity, identification
Matteo De Marco	University of Sheffield	Alzheimer's disease, mild cognitive impairment, resting state
Michiel de Ruiter	Netherlands Cancer Institute	data pooling, breast cancer patients, longitudinal, atrophy
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
Michael Decker	Case Western Reserve University	hypoxia, hyperoxia, neurodegeneration
Summer Decker	University of South Florida Morsani College of Medicine	morphometrics
JOHN Del Gaizo	Medical University of South Carolina	early-onset AD, verbal fluency, amyloid, neuropsychological testing
Jessica Delmoral	FEUP	machine learning, segmentation, brain PET
zeynep demir	University of California San Francisco	ADNI
Charles Denby	Rhode Island Hospital	ADNI-3
Yanjia Deng	The Chinese University of Hong Kong	MRI, visual function, MCI, AD
Wanyu Deng	Xi'an University of Posts and Telecommunications	Deep learning, Neural Networks
Kristina Denisova	Columbia University Medical Center	structural and functional MRI
William Denney	Blue Peak Consulting	disease progression
Brendan Depue	University of Louisville	PTSD, Amygdala, Morphometry
Thomas DeRamus	University of Alabama Birmingham	Diffusion Imaging, funcitonal connectivity
Rahul Desikan	Martinos Center for Biomedical Imaging	MCI, MRI, morphometry
Paula Desplats	UCSD	DNA methylation, gene expression, tau, MAPT, blood, Alzheimer's, biomarkers
Christian Desrosiers	Ecole de technologie superieure	Sparse Multivariate Regression LASSO ADMM Pooling
Brian Destrada	Recent Graduate Student	Amaloyd, Tau
Vivek Devadas	Banner Alzheimer's Institute	Kewei Chen
Viswanath Devanarayan	Abbott Labs	biomarkers, disease prognosis, disease progression, multivariate analysis
Sridharan Devarajan	Indian Institute of Science	MCI, machine learning
Gabriel Devenyi	Douglas University Mental Health Institute, McGill University	MRI
Ilse Dewachter	Université catholique de Louvain	AD, MRI, amyloid and tau pathology
Zalina Dezhina	Kings College London	machine learning, data analysis, statistics
Devendra Dhami	Indiana University	Alzheimer,MRI,prediction
DIVYA DHARANI	Anna university	research
Moyez Dharsee	Ontario Cancer Biomarker Network	integration, analysis
Permesh Dhillon	University of Nottingham	MRI, DTI, PET
Xin Di	University of medicine and dentistry of new jersey	connectivity, pet
Nicola Di Mauro	University of Bari	Alzheimer’s disease, Machine Learning
Kimberly Diah	Nova Southeastern University -	Biomarkers, AD severitty, MCI, Neuroinflammation
Sara Diamond	OCAD University	data visualization
Catherine Diaz-Asper	Marymount University	automated text analysis; language;
Stefano Diciotti	University of Bologna	texture analysis, fractal analisys, machine leaning, MRI
Bradford Dickerson	Massachusetts General Hospital	MRI, PET, cortical thickness, MCI, AD
David Alexander Dickie	The University of Edinburgh	Normality Brain pathology Computer-assisted image interpretation Reproducibility
Philip Dickinson	McGill University	resting state, connectome wide association
Ellen Dicks	VU University Medical Center	brain connectivity, cognitive decline, graph theory, single subject
Karl Diedrich	Perkin Elmer	Analytics correlation
Louis Dieumegarde	IUSMQ	Database
Vanderson Dill	Pontifícia Universidade Católica do Rio Grande do Sul	Hippocampus Segmentation, Evaluation
Allison Dilliott	Western University	Genomics, Data Dictionary
Zhaohua Ding	Vanderbilt University	DTI, fMRI, structure, function
yanhui ding	University of Pennsylvania	biomarker detection
Xiuhua Ding	University of Kentucky	group based trajecotry model , dementia, sleep apnea
Xuemei Ding	Ulster University	Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Ivo Dinov	UCLA	Alzheimer's disease, statistics, shape
Valentin Dinu	Arizona State University	pathway analysis, complex phenotype, data mining, statistical analysis
Ibrahima Diouf	commonwealth scientific and industrial research organisation (csiro)	CSF ferritin
Phillip Dmitriev	University of Pennsylvania	manual tracing
Vitaly Dobromyslin	University of Massachusetts Lowell	Machine learning, genetics, fMRI, PET
Hiroko Dodge	University of Michigan & Oregon Health & Science University	Big data analysis, TranSMART, biomarkers,
Hiroko Dodge	Oregon Health & Science University	MRI volumetric changes
Oriol Dols-Icardo	Sant Pau biomedical research institute	Genomics, MRI
Sudipto Dolui	University of Pennsylvania	ASL, signal processing, denoising
Olga Dona	McMaster University	Fractal Analysis
Frank Dondelinger	Lancaster University	lasso, prediction
Hao-Ming Dong	Chinese acdamy of science	developmental trajectory; resting-state maps; AD
Wen Dong	Yanshan University	brain network,brain anatomical connectivity,diffusion MRI
Patricio Donnelly Kehoe	CIFASIS-CONICET	skull-stripping, image processing
Michael Donohue	Keck School of Medicine of USC	ADCS
Lingraj Dora	VSSUT	brain tumor detection
vincent Dore	CSIRO	PET longitudinal
Chase Dougherty	Geisinger Health System	structural covariance
Mitchell Doughty	McMaster University	Controls, TBI
N. Maritza Dowling	University of Wisconsin-Madison	Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Senan Doyle	Pixyl Medical	MRI Brain Segmentation Cortical Thickness Hippocampus
Andrew Doyle	McGill University	deep learning
Matthew Dragan	University of Nevada, Reno	logistic regression, variable selection, categorical models
Bogdan Draganski	CHUV	voxel-based morphometry
Sorin Draghici	Advaita	meta-analysis, data integration, subtype discovery
Andrei Dragomir	University of Houston	AD connectomic biomarkers, genotype-phenotype relation
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
Madelyn Drozdowski	Molecular Neuroimaging, LLC / Institute for Neurodegenerative Disorders	ADNI, PET, MRI
changde du	UCAS	machine learning; AD detection
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
Yuhui Du	The Mind Research Network; Shanxi University	Biomarkers, Classification, Clustering
Guangwei Du	Penn State Hershey Medical Center	TBM, neurodegenerative disease pattern
Xingqi Du	North Carolina State University	Network, machine learning
Wenhao Du	CSU	dwh1023725
Yuzhuo Duan	Dalian University of Technology	registration
Kuaikuai Duan	University of new mexico	pattern recognition,brain networks
Fang DUAN	The University of Tokyo	DNB, network analysis
Simon Duchesne	Université Laval	Morphometry, MRI, multidimensional analysis
Simon Duchesne	True Positive Medical Devices Inc.	Biomarkers; Volumetry; Normative data
Ben Duffy	USC	QC
Andrea Duggento	University of Rome "Tor Vergata"	brain connectivity, granger causality, directed graphs
Juergen Dukart	Hoffmann-La Roche	PET MRI biomarkers diagnostic models
Matthieu Dumont	Imeka	DWI DTI HARDI Tracking
Ruth Dunn	Goura Victoria Consultants Limited	software, analysis
Vu Duong	Chonnam National University	Alzheimer, dementia, PET, MRI
Baskar Duraisamy	Hindusthan College of Engineering and Technology	Alzheimer's Disease, Hippocampus, Posterior Cingulate Cortex
Dunja Duran	BESTA	EPILEPSY PET MULTIMODAL
Tugce Duran	Indiana University School of Medicine	MRI and PET scans, genotypes
Stanley Durrleman	INRIA	statistics, longitudinal, spatiotemporal data, image analysis, aging, brain
Joyita Dutta	UMASS / Harvard / MGH	classification, clustering, deep learning
Martin Dyrba	German Center for Neurodegenerative Diseases (DZNE)	probabilistic models, multimodal analysis, machine learning, Markov random field
Hadrien Dyvorne	Hyperfine Research	quality assessment
Amulya E R	Sahrdaya College of Engg&Tech	Alzheimer's Disease detection
Jennifer Eads	Eli Lilly and Company	PET perfusion scan, cognition
Jennifer Eastman	Northwestern University	MCI
Susan Eaton	Biogen	epidemiology, predictive model
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
Fatima Ehsan	National university of science and technology	brain ct
Sarah Eisenstein	Washington University School of Medicine	dopamine SNP BMI
Chima Eke	Plymouth University	Biomarker discovery
Shereen Ekhlas	Cairo Univerity	Alzheimer Disease, ADNI, MRI
Fady El-Gabalawy	BIDMC	adni, machine learning, neural networks
Ahmed El-Maghraby	Tanta University	Pedigree,Designs in Linkage
fanny elahi	UCSF	Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
Annie Elander	Johns Hopkins School of Medicine	cortisol, medial temporal lobe
Annie Elander	Johns Hopkins School of Medicine	cortisol, medial temporal lobe
Vidhya.E elango	Periyar University	unstructured data
Mohamed ElBialy	Cairo University	deep learning, neural networks, machine learning
Ghaidaa Eldeeb	faculty of engineering cairo univeristy	DTI
Fatmaelzahraa Elgamal	University of Louisville	Fusion, medical image analysis, early diagnosis of AD
Yuri Elias Rodrigues	UFRGS	machine learning, distance based algorithms
Jeremy Elman	UCSD	Pupillometry, aging, dementia
nada elrakaiby	Arab Academy for Science and Technology	Alzheimer's Disease, Image Processing, Pattern Recognition, MRI
Ghada Elsegaee	Arab Academy for Science, technology and Maritime Transport	research
Tesfai Emahazion	AstraZeneca PLC	GWAS, imputed analysis, segmentation analysis
BEHNAZ EMAMI	UNIVERCITI AZAD NAJAFABAD	alzaymer-bel-classification
Jurriën Embrechts	amc	machine learning
Mohammad Asif Emran Khan Emon	Fraunhofer Institute for Algorithms and Scientific Computing SCAI	Neuroimaging Analysis, LONI
asieh emrani	International University of Imam Reza	Feature Selection, Feature Extraction
Saba Emrani	SAS Institute	Multi task learning
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
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
Luis Espinosa	York University	Traumatic Brain Injury and Alzheimer's Disease
Ryan Essex	LONI	AD
Oscar Esteban	Stanford University	quality assessment, structural MRI
Karol Estrada	Biogen	Alzheimers genetics nerological
Kimberly Ethridge	Nova Southeastern University	Neuroimaging and cognitive assessments
Seyedrohollah Ettehadi	university of sherbrooke	biomedical, dignosis
Bouguen Eva	Servier	Biomarkers Alzheimer Disease Drug Developpement
Ignacio Evangelista	Universidad Nacional de Rosario	Database, Normative values, Machine learning
Dave Evenden	Southampton Universiry	Dementia, Disease Modelling, Healthcare Planning
Rina Evtikheeve	HIT	template brain mri
Siobhan Ewert	Harvard Medical School	DBS, normalization
Scot Fague	Washington University - St Louis	AAIC, DIAN ADNI AIBL
Rachid Fahmi	Siemens Healthcare	AD, PET, FDG, MRI, Amyloid
SHERIN FAIZAL	NEHRU ARTS AND SCIENCE COLLEGE	SPECT, Partial Least Squares, SVM, Alzheimer’s disease
Farshad Falahati	Karolinska Institutet	AD, MCI, MRI, PET, CSF, Multimodal diagnostic index
ZHEN FAN	Imperial College London	Longitudinal amyloid tau
ZHEN FAN	Imperial College London	AD biomarkers PET MRI
maohua fan	Beijing Huachengxingye software development company Ltd.	Convolutional Neural Networks,Classification
Yong Fan	Institute of Automation, Chinese Academy of Sciences	pattern classification, neuroimage analysis
Sili Fan	UC Davis	normalization
Jim Fan	Stanford University	deep learning
Ruzong Fan	NICHD/NIH	association studies
zhen fan	Huashan hospital of Fudan university	for reaserch
Yonghui Fan	Arizona State University	ADNI2-GO MRI data
Li fan	Chongqing University	Alzheimer's disease Mild cognitive asymmetric features
Xiaoling Fang	McGill University	Alzheimer's disease, MRI, DTI, PET, system failure, brain networks
Chen Fang	Florida International University	Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
Félix Fanjul-Vélez	University of Cantabria	Alzheimer, dementia, image analysis
Alessandro Fanti	Università degli studi di Cagliari	Alzheimer features brain imaging MRI
bab far	medizinische schule	radiology
naemeh farahani	Islamic Azad university of sience and research Branch of Tehran	Alzeimer
Seyedehrezvan Farahibozorg	Amirkabir University of Technology	age estimation, brain MRI, fractal dimension, chaotic neural network
Farhood Farahnak	Shahid Beheshti University	Deep Learning
maryam farajpour	ma	alzheimer
David Fardo	University of Kentucky	Pathway-wide association, AD
sadaf farkhani	Iran,Esfahan,Najafabad university	multi modal medical fusion
Bryn Farnsworth	Independent	SNPs, GWAS
Hamza Farooq	University of Minnesota	Diffusion MRI, Structural graph analysis, Alzheimer's Disease
Ammarah Farooq	CEME NUST	multiclassification, deep learning
Yasmeen Farouk	Ain Shams University	FPGA GPU
Danielle Farrar	Boston University	MCI, Alzheimers, fMRI, Executive Function, frontal lobe
Lindsay Farrer	Boston University School of Medecine	gwas alzheimers meta-analysis adgc
fatemeh fatemehh	tehran	fateme
Emad Fatemizadeh	Sharif University of technology	Connectivity, Graph, Manifold
Shizza Fatima	National University of Sciences and Technology (NUST)	Image processing, cross correlation analysis
Noel Faux	IBM Research - Australia	Biomarkers, prognosis, genomics, cognitive decline
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
Grazia Daniela Femminella	Imperial College London	inflammation; atrophy; AD; MCI
Zijun Feng	NENU	AD, MCI
Brad Feng	Capital Medidcal University	Deep Learning; Alzheimer Disease
Xinyang Feng	Columbia University	AD imaging biomarker
Ao Feng	Chengdu University of Information Technology	medical image, MRI, Alzheimer's disease, classification, regression
Tao Feng	UIH America, Inc	PET resolution
Zijun Feng	ASU	AD, MCI
Christine Fennema-Notestine	UCSD	MRI, thickness, morphometry, shape analysis, PET
Aasa Feragen	Max Planck Institute for Intelligent Systems, Tübingen, Germany	Brain connectivity, diffusion MRI, graph kernels
Marzieh Fereidouni	IPM	memory, MRI, AD
Miguel Fernandes	Faculdade de Ciências e Tecnologia of Nova University of Lisbon	Classification
Víctor Fernández	UPV/EHU	machine learning
Ricardo Ferrari	Federal University of São Carlos	image segmentation, contour models
Sebastiano Ferraris	University College London	Registration algorithm, diffeomorphisms, stationary velocity field
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
Francisco Ferreira	INESC-ID	machine learning, temporal mining, prognostic prediction, prognostic markers,
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
Caleigh Findley	University of Colorado Colorado Springs	AD, MCI, APOE4, memory, executive functioning, tau
Elizabeth Finger	University of Western Ontario	NPI, MRI, PET
Nicholas Firth	UCL	Event-based model
Florian Fischer	Universtiy Medical Center Mainz	Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Christopher Fischer	Sanford Health	NA
Simon Fitall	Galileo Analytics LLC	Data visualisation, data analytics, alzheimer's
Blair Fleet	Michigan State University	Image fusion, Alzhemier's, Sparse Representation, Evolutionary Computation
Greg Fleishman	LONI	IGC, LONI, PAUL THOMPSON, GREG FLEISHMAN
LAMBROS FLOKAS	NTUA	DTI,Alzheimer's
Alberto Flores	Universidad de Monterrey (UDEM)	Biomarkers, Engineering, Image Processing
Niels Focke	University of Goettingen	VBM validation
Wai Yan Fok	Research Center for Medical Image Computing	segmentation; subcortical structures; severe brain damage; Alzheimer's disease
Nancy Foldi	Queens College - City University of New York	MTL, HIppocampus, serial position effect
Guilherme Fôlego	Universidade Estadual de Campinas	AD, ML
Sabrina Fontanella	ICM	Neuroscience
Erik Forkin	Epic	deep learning, machine learning, convolutional neural network
Myriam Fornage	University of Texas Health Science Center at Houston	Small Vessel Disease; brain MRI; white matter hyperintensity
Parisa Forouzannezhad	Florida International university	MCI, AD, Neuroimaging
Belén Fos Guarinos	QUIBIM	deep learning, medical imaging, diagnosis
Chris Foster	UT Dallas \| Center for Vital Longevity	Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Gregory Founshtein	The hebrew University and the Hadassah Ein Kerem medical center	Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Clementine Fourrier	ICM (Institut du Cerveau et de la Moelle Epiniere)	tadpole challenge
Benjamin Franc	University of California, San Francisco	PET, FDG, fluorodeoxyglucose, chemotherapy, brain, hypometabolism
Clement Francois	Lundbeck	clinical relevance, modelling, long term consequences
Katja Franke	University Hospital Jena	BrainAGE, brain aging, biomarker, cognitive decay, prediction,
Mark Fraser	Australian National University	harmonized Hippocampal protocol, manual segmentation
Mark Frasier	Michael J Fox Foundation	CSF, biomarkers, neurodegeneration
fernandho freitas	University Center of FEI	AD, feature extraction, wavelets
Escalin Frency J J	St.Xavier's Catholic College of Engineering	Alzheimer's disease
Stefan Frenzel	University Medicine Greifswald	Alzheimer Disease, Machine Learning, GWAS
Yun Freudenberg-Hua	Feinstein Institute of Medical Research	AD genetics, loss-of-function variants
Brad Friedman	Genentech, Inc.	bioinformatics genetics
Theodore Friedmann	University of California San Diego	purine, Alzehimer's
Christoph M. Friedrich	University of Applied Science and Arts Dortmund	SNP subset selection
Lars Frings	University of Freiburg	PET; Amyloid; FDG; Medial Temporal Lobe
Giovanni Frisoni	IRCCS San Giovanni di Dio FBF - The National Center for Research and Care of Alz	ADNI EADNI
Alexander Frolov	Stanford University Hospital & Clinics	Alzheimer's diseaese, biomarkers, tau, amyloid
Robert Frost	University of Utah	PET, atypical dementia, neuropsychology
Zening Fu	the university of hongkong	dynamic functional connectivity, mci, classification,
Ling Fu	University of Shanghai for Science and Technology	Independent Component Analysis,ICA,FNC
ke fudao	Beihang University	kai6849868
Emmanuel Fuentes	Freelance	image processing
Emmanuel Fuentes	GE	amyloid, PET, MR, aMCI, pAD, images, 3D
Motonobu Fujishima	National Center of Neurology and Psychiatry	differential diagnosis; Alzheimer's disease; FDG-PET; MRI
ken fujiwara	NCGG	nilsgo
Tadanori Fukami	Yamagata University	longitudinal analysis, indicies
Cory Funk	Institute for Systems Biology	Alzheimer RNA-seq WGS
Diana Furcila	Center for Biomedical Technology	alzheimer's disease
Jessica Fuselier	IUPUI	GWAS, Alzheimer's
NAGARJUNA REDDY G	KL UNIVERSITY, VIJAYAWADA	ALZHIEMERS, DEEP LEARNING
Terry Gaasterland	University of California San Diego	biomarkers, prediction, progression, early detection, neurodegeneration
Audrey Gabelle	Montpellier University Hospital	Amyloid, orexin, sleep
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
Douglas Galasko	UCSD	cognition
Paola Galdi	University of Salerno	networks, multi-modal data, classification
Liisa Galea	University of British Columbia	APOE, Pregnancy, motherhood, hormone therapy, inflammation
gaetan galisot	UNiversité de tours	*
Antonio Javier Gallego Sánchez	University of Alicante	Machine learning, pattern recognition
Paul Gallins	NC State University	data integration neuroimaging genetic
Dragan Gamberger	Rudjer Boskovic Institute	data clustering, subgroup discovery, intelligent data analysis
Gavin Gan	IIT	registration, dti
Hong Seng Gan	Universiti Kuala Lumpur	hippocampus Segmentation, Alzheimer's Disease, Random Walks
Subha Ganapathi	Bosch	Alzheimer's Disease, Biomarker
Christina Gancayco	University of Virginia	MRI, network, connectivity, structural changes
Rajeev Gangal	Saama Technololgies Inc	hadoop, ingestion, clinical, biomarker, images,outcomes
Umesh Gangishetti	Emory University	CSF, MRI,and PET biomarkers of neuro-inflammation in Alzheimer’s disease (AD)
Marco Ganzetti	KU Leuven	large ventricles
Xiaohong Gao	Middlesex University	multi-modal classifier, fuzzy logic
Fei Gao	Arizona State University	AD,MCI, Machine Learning
Linlin Gao	Harbin Engineering University	graph
Yann Gao	-	deep learning
Jingjing Gao	University of Electronic Science and Technology of China	early diagnsis of AD
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
Yuanyuan Gao	sothern medical university	PET MRI
qu gaochao	Donghu	autism
Ranjini Garani	Indian Institute of Science	analysis
Sara Garbarino	UCL	Network diffusion models
Gracian Garcia	Quiron	PET; SPM; templates
Tanya Garcia	Texas A&M University	T1-weighted MRI images; Cox regression; tensor covariates
Ivan Garcia	URJC	Tool,
Miguel Garcia	Boehringer-Ingelheim	historical controls, placebo, disease modelling
Jorge Garcia	UPM	MRI
xiadnai garcia	udg	software dementia
Angel Garcia de la Garza	University of Pennsylvania	Hippocampal Tracing
Mireia Garcia Gaig	Universitat de Barcelona	PET
jorge Garcia Novoa	UPM	Brain
Mar Garcia Valero	Fundació Ace	Endophenotype study
Jord Garcia-Ojalvo	Universitat Pompeu Fabra	Brain dynamics, relaxation dynamics, potential landscapes.
Pablo García-Polo	Center for Biomedical Imaging	Perfusion, Dementia
Divya Garg	University of Strathclyde	sleep disorders, neuropsychological assessment, MRI
Gaurav Garg	University of Ulster	Modeling, EEG, fMRI, Alzheimer's, AD
Rahul Garg	Indian Institute of Technology Delhi	Grangr causality, FARM, Autoregressive Modeling
Valentina Garibotto	Geneva University Hospitals	FDG PET, tau, Ab42, CSF
Matthew Garvey	Georgia Institute of Tecnology	3D PET/MRI viewer
Eduardo Garza-Villarreal	Universidad Autonoma de Nuevo Leon	diabetes, mild cognitive impairment, genetic, cortical thickness
Fiona Gaskin	Open University	Alzheimers
Malo Gaubert	INSERM	Alzheimer’s disease, MCI, presymptomatic, MRI, PET,neuropsychology, longitudinal
Serge Gauthier	McGill University	Imaging, Alzheimer's Disease, Brain Connectivity
Brandon Gavett	University of Colorado Colorado Springs	Alzheimer's disease, latent variable models, cognitive reserve, cognitive declin
Giovana Gavidia	Biomedical Engineering Research Centre (CREB) of UPC	Image processing, lineal mixed models, statistical inference, machine learning
Barzin Gavtash	Loughborough University	Nasal cavity - CFD - Drug delivery
Jodie Gawryluk	University of Victoria	white matter, MRI, DTI, cognition
S Gayathri	Bharathiar university	Alzheimer disease
Tian Ge	Athinoula A. Martinos Center for Biomedical Imaging	neuroimaging genetics
Hugo Geerts	In Silico Biosciences	Quantitative Systems Pharmacology
Niklaus Geisser	UCB	Data Mining, Internet of Things, AAL
Junxian Geng	Florida State University	genotype-phenotype associations; subpopulation
Claudio Gentili	University of Padova	SVM, Depression, Cognitive functions
Felix Gess	individual research	Alzheimer , artificial neural networks, DNN, RNN
Olivier Gevaert	Stanford University	deep learning multi-scale modeling
Halleh Ghaderi	McGill University	mri image
shabnam ghahari	Islamic Azad University of Science and Research Branch of Tehran	alzheimer
zahra ghanbari	Tehran University of Medical Science (TUMS)	Alzheimer, DTI, SES, hippocampus, memory, BMI
yaghoob ghanbari	hormozgan univercity	dataset
Ladan Ghazi-Saidi	Cleveland Clinic	Tau, cognitive decline, AD, biomarker, atrophy
mojgan ghodrati	Islamic Azad University, Science and Research branch	brain atrophy,atrophy measurement,alzheimer's disease
BEHNAZ GHORBANI	AZAD UNI.	Alzheimer MRI
Reyhaneh Ghoreishiamiri	University of Alberta	Early diagnosis
sayan ghosal	University of Alberta	Image registration, deep learning, quantitative analysis
Saheb Ghosh	VIT University	alzheimer, Machine Learning
Sreya Ghosh	University of California, San Diego	big data, Machine learning
SUKANTA GHOSH	JADAVPUR UNIVERSITY	MRI DATA SET REQUIRED
Saikat Ghosh	university of Calcutta	mri,tumor
Ankur Ghoshal	JU	Segmentation
Galetta Giannicola	Università di Milano	FDG PET Alzheimer
Laura Gibbons	University of Washington	Genetics, using ADNI data as a teaching example, Friday Harbor
karina Gibert	Universitat Politècnica de Catalunya-BarcelonaTech	predictive, data mining, intelligent decision support, classifiers, mixed metric
Gary Gibson	Weill Cornell Medical College	conversion
Ronald Gieschke	Roche	Mathematical Model Alzheimer's disease Abeta
Jorge Mario Gil Valencia	Universidad Tecnológica de Pereira	DTI, Pain
Daniel Gillen	UC Irvine	Statistical Methods; Case-Cohort; Nested Case-Control; Survival Analysis, CSF
Alessandro Giordani	Università Cattolica del Sacro Cuore	epidemiological studies, risk factors
Diana Giraldo	Universidad Nacional de Colombia	Morphometric Analysis
Juan D. Gispert	Fundació Pasqual Maragall	Partial Volume Correction,
Darren Gitelman	Northwestern University	VBM, covariance
Mario Valerio Giuffrida	IMT SCHOOL ADVANCED STUDIES LUCCA	Machine Leraning, Registration, Features
Giovanni Giulietti	IRCCS Santa Lucia Foundation	magnetic resonance, DTI, Alzheimer, mild cognitive impairment
Jesus Giunta	FCEN - UNCUYO	Deep learning
MADHU GK	VVIET	vviet
Jesse Glass	Temple University	Fused Lasso, Structured Classification, Structured Prediction, Network Lasso
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
Martin Goettlich	University of Luebeck	morphometry hippocampus
Dr. Minakshi Gogoi	GIMT, Guwahati	MRI
Kelly Gola	UCSF	Depression, Empathy, Anxiety
Soroosh Golbabaei	university of tehran	alzheimer disease, Mild Cognitive Impairement, Connectome, Graph Analysis
Daniel Golden	Arterys	machine learning, segmentation
Felicia Goldstein	Emory University	task engagement, recognition memory, normal cognition, MCI, AD
Sepehr Golrizkhatami	Fraunhofer Institute	Event-based modeling, mechanism validation
Jesus Gomar	Northwell Health	Amyloid PET
Carlos Gomes	Cornell University	memory, cognitive impairment, markers of impairment, clinical tests, MCI, AD
Ramon Gomes Durães de Olivera	Federal University of Minas Gerais (UFMG)	Machine Learning, CNNs, Classification, Pattern Recognition
Isabel Gomez	Consorci Sanitari Integral	Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
JUAN PABLO GOMEZ GONZALEZ	QUBIOTECH HEALTH INTELLIGENCE	MRI volumetry, Alzheimer's Disease
Vanessa Gomez-Verdejo	Universidad Carlos III de Madrid	machine learning, mri
Enhao Gong	STANFORD UNIVERSITY	Deep Learning, Compressed Sensing
Kuang Gong	University of California, Davis	PET reconstruction CT prediction from MRI
Julie Gonneaud	McGill University	Family history, Alzheimer's Disease, Biomarker, Preclinical
Evelio Gonzalez	CNEURO	MRI, DTI, mri pulse sequence
Gerardo Gonzalez	University College London	AD, Big data, Automated anomaly detection
Clio Gonzalez	University of Southern California	Genetics, Neuroimaging
Eduardo Gonzalez Moreira	University of Electronic Science and Technology of China	multimodal neuroimaging data
James Goodman	Oregon Health and Science University	Cerebrospinal fluid
Srinath Gopinath	Yale University	Volumes, PET uptake, Hippocampus, Amygdala
Anusharani Gopu	Royal Institutue of technology	Masters thesis Big data analytics
david gordon	UCLA	Neuroimaging; Machine Learning; Alzheimer's Disease
Brian Gordon	Washington University in St. Louis	Alzheimer's, spatial patterns, head trauma
Andrew Gordon	Data Analytics Labs	AD, predictive analysis, advanced analytics, clinical trials
Mark Gordon	Boehringer Ingelheim Pharmaceuticals, Inc.	EMIF, CAMD
Pietro Gori	Télécom ParisTech	T1, DWI, statistical shape analysis, education
Richard Gorniak	Thomas Jefferson University	MRI, convolutional neural networks, medial temporal sclerosis
Juan Manuel Gorriz	University of Granada	Image processing, Random forest
Dorothy Gors	Kuleuven	multivariate analyze, imaging genetics
Jens Göttler	Klinikum rechts der Isar, Technische Universität München	resting state fMRI, FC, perfusion, ASL, metabolism, FDG, amyloid
Xanthippi Gounari	University of Strathclyde Glasgow	ADL, MRI scans, AD, MCI
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
Jinko Graham	Simon Fraser University	multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Leah Graham	The Jackson Laboratory	Diffusion tensory imaging, myelin, obesity, cognition
Kamil Grajski	Nurosci, LLC	Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP
Maziyar grami	Azad university	data mining, machine learning
Marilyn Grand'Maison	Biospective	PET, MRI, Alzheimer's, Cortical Thickness, AV45
Kiran Grant	University of Calgary	hippocampus, segmentation
Elena Grassi	University of Turin	eQTL, GWAS, transcription factors
Katherine Gray	Imperial College London	Alzheimer's disease; early diagnosis
Elisabetta Grecchi	King's College London	PET,FDG,Dynamic
Robert Green	Brigham and Women's Hospital and Harvard Medical School	AD analyses
Elaine Green	Plymouth University	L1 elements, retrotransposons
Jonathan Greenberg	Icahn School of Medicine at Mount Sinai	ADNI-2
Steven Greening	Louisiana State University	cognition; cognitive neuroscience; affect
Bryson Greenwood	Blinn	Alzheimer's, Principle Component Analysis, Data Mining
Johannes Gregori	mediri - medical imaging research institute	MRI, ASL, PET
Michael Gregory	NIH	neuroimaging
Michael Greicius	Stanford University	genes, structure
Douglas Greve	MGH	PET
Jason Griffin	University of Colorado, Colorado Springs	Alzheimer's disease, mild cognitive impairment, serial position effect, learning
Joshua Grill	UC Irvine	informant
Kelsey Grodner	Nova Southeastern University	Severity and symptoms in AD
Vince Grolmusz	Eotvos University	vertex connectivity, edge connectivity, network flows
Perry Groot	Radboud University Nijmegen	causal
Irme Groothuis	University College London	microbleeds, deep learning
Alden Gross	Johns Hopkins Bloomberg School of Public Health	Alzheimer's; psychometric trait theory
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
ginam gu	Kyung-hee university	Alzeheimer's disease
david gu	jilin university	data mining digital image processing
Jiena Gu	Kansas State University	Biomarkers ADNI
Jiena Gu	Kansas State University	Alzheimer's Disease Progression
YUN GU	SJTU	Crossmodal retrieval
Yuanfang Guan	University of Michigan	manuscript submission
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
Laura Guerrier	INSERM	Benson syndrom
Pamela Guevara	University of Concepción	white matter bundles, anatomy, machine learning
shankru guggari	BMS College of Engineering	Decision Tree
Abhijit Guha Roy	Technical University of Munich	Deep Learning
Roberto Guidotti	University of Chieti-Pescara	deep learning, mri, neural networks
Jérémy Guillon	ICM	brain connectivity, graph analysis
Leonardo Guimaraes	Leo Tec	Machine Learning
Jeff Gulcher	WuXi NextCODE Genomics	pathway enrichment, classification, PET amyloid
SARITA GULIA	BANASTHALI UNIVERSITY RAJASTHAN	FMRI
Nishan Gunawardena	University of Colombo	Alzheimer’s Disease, Pre-detection, MRI data, image processing
Roger Gunn	Imperial College London	Mathematical Analysis, Classification, Machine Learning
Xiao Guo	University of Science and Technology of China	semiparametric model, related error process
xingzhi guo	Shanghai jiaotong university	RAGE
yi guo	tongji university	ASL;MRA;Alzheimer's disease
Michael Guo	Boston Children's Hospital	HMGA2, diabetes, short tandem repeat
zhang guo kai	TongJi University	Medical Image,Machine learning,Alzheimer’s Disease
Ma Guo zhao	Shandong Provincial Qianfoshan Hispotial	maguozhao
Anubha Gupta	IIIT-Delhi	fMRI
Rijul Gupta	Yale	data, analytics
Navin Gupta	Indian Institute of Technology, Guwahati	clinical subtyping, data driven, symptoms, independent component analysis
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
Holly Guvenli	Okan University	MCI, fMRI, entorhinal cortex, hippocampus
Gloria Guzman	Washington University in St. Louis	AD
GYY GYY	anhui university	15141661514166
Vanamala H Rajanna	PESIT	fMRI,PET, AD , Connectivity
Seongwook Ha	Signlab	PET, MRI analysis
Ewart Haacke	Magnetic Resonance Innovations, Inc.	Susceptibility Weighted Imaging (SWI), Gradient Echo, phase and magnitude.
Miriam Haaksma	Radboudumc	prognostic model; external validation
MARYAM HABADI	UNIVERSITY OF SOUTH FLORIDA	Statistical Modeling for Alzheimer’s Disease
Christian Habeck	Columbia Un	multivariate analysis, ROC curve, replication
Mohamad Habes	University of Pennsylvania	AD-like patterns, Brain Aging, White Matter Hyperintensities
MARIA MERCEDES HACKSPIEL ZARATE	UNIVERSIDAD MILITAR NUEVA GRANADA	pathologies, neuropsychological tests
Ravi Hadimani	Virginia Commonwealth University	Anatomically realistic head models, 3D head models, Brain phantoms
Tim Hahn	University of Frankfurt	machine learning, Deep Learning, Autoencoder
Thaddeus Haight	UC Berkeley	path analysis; amyloid; FDG-PET; longitudinal study
Nicole Hair	University of South Carolina	development, longitudinal, structural MRI
Wang Haixing	Southeast University	image analysis
Noushin Hajarolasvadi	Eastern Mediterranean University	Alzheimer's disease, voxel-based morphometry, classification
Ihab Hajjar	Emory Univeristy	AD, hypertension, amyloid
Rima Hajjo	UNC Chapel Hill	Alzheimer's disease, publication, visting scientist, UNC-Chapel Hill Research
Yaroslav Halchenko	Dartmouth college	Datalad
Anette Hall	University of Eastern Finland	Alzheimer’s disease, MCI, MRI, CSF, Computer-assisted diagnosis
Kevin Hallock	Pfizer	Modeling, biomarkers
Brahim HAMADI CHAREF	Data Storage Institute	Alzheimer’s Disease, Deep Learning, ROC curve
Shah Muhammad Hamdi	Georgia State University	functional brain networks, mildly cognitive impairment, graph data mining
Farhan Hameed	Pfizer	UPDRS, PD, Database Architecure, Interoperability
Hajar Hamidian	Wayne State University	Shape Analysis, deformation
Tyler Hammond	The University of Kentucky	cognitive reserve, Alzheimer disease, aging, DTI, MRI
qiu han	The Affiliated Huaian Hospital of Xuzhou Medical University	PLXNA4, Alzheimer’s disease, amyloid-β, correlation
Dong Han	Neusoft Medical Systems	registration, segmentation
yang han	tongji university	manifold,subnetwork
Hio-Been Han	Korea Institute of Science and Technology	fMRI; fcMRI; fucntional connectivity;
Beomsoo Han	University of Alberta	Biostatistics, Bioinformatics, metabolomics
Joo Yoon Han	University of Washington	Statistical analysis with brain imaging data
Duke Han	USC	cognition, neuroimaging
Shizhong Han	The University of Iowa	GWAS, heritability, sMRI, and fMRI
qingchang han	Tsinghua University	leile521
Xiaoxia Han	NYU	GWAS, modeling, prediction
Dong-Sig Han	SNU	computer vision
Peipei Han	Southeast University	cognitive test data
Robert Handsaker	Broad Institute	copy number variation, disease association
Alexandru Hanganu	University of Montreal	T1, fMRI, rsfMRI, DTI
Brenda Hanna-Pladdy	Emory University School of Medicine	Cognition, FDG PET, Aging
Bernard Hanseeuw	Massachusetts General Hospital	Striatum hippocampus
Björn Hansson	Chalmers University	neural network, machine learning
jhon hao	BIT	segmentation
yang hao	Sichuan University	Deep Learning
Clara Happ	Ludwig-Maximilians-University Munich	Functional Data Analysis, Functional Principal Component Analysis
Dilshan Harischandra	University of Pennsylvania	Protein aggregation, Abeta, Tau, TRIM
Esin Haritaoglu	Polar Rain Inc.	machine learning, data mining, CDS
Bermal harman	cukurova university	yes
Michael Harrington	Huntington Medical Research Institutes	Preclinical AD, neurodegeneration, MRI, CSF, amyloid
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
MOHAMED Hassan	Deakin University	ADPOLE
moaied hassan	university of scince and technologu	Mri
Mehdi Hassan	Air University	Biomedical Image Processing, Machine Learning
Oktie Hassanzadeh	IBM	data analytics research
Hamid Reza Hassanzadeh	Georgia Institute of Tech	Deep Learning, Multi-modal prediction
Jason Hassenstab	Washington University in St. Louis	Genetics, using ADNI data as a teaching example, Friday Harbor
Sean Hatton	UCSD	MRI, data harmonization
Ghazal Havoutis	Nova Southeastern University	biomarker, diagnostic performance, Alzheimer's detection, MCI
jinan hawchar	Lebanese University	alzheimer's disease,diagnosis,predict
Norio Hayashi	Gunma prefectural college of health sciences	AD, brain template, CAD
Toshihiro Hayashi	University of Tokyo	MRI, psychology, biomarker
Jasmeet Hayes	VA Boston Healthcare System	Cortical Thickness
Boris Hayete	GNS Healthcare	network analysis
David Haynor	University of Washington	principal component analysis, spatial patterning, spatial covariance
joydev hazra	Heritage institute of technology	prediction
yan he	Guizhou medical university	MRI VBM brain network
Linchen He	New york university	Association test, binomial mixture model, complex disease, genetic heterogeneity
Yao He	University of Utah	PET, FDG-PET, Focal AD
Huiguang He	Institute of Automation, Chinese Academy of Scicences	fMRI, DTI, Medical Image Processing
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
Dion Henare	University of Auckland	Harmonized Hippocampal Protocol Training
Samuel Henderson	Accera Inc	APOE, ADAS-Cog, MMSE
Judith Henf	University Medicine Rostock	cognitive reserve, hippocampal MD, healthy older adults
Claudio Henriquez	University of Manchester	Alzheimer disease, MRI, PET, QDA, LDA, automatic diagnosis
Karl Herholz	University of Manchester	Alzheimer's disease, Mild cognitive impairment, 18F-FDG-PET
Haithem Hermessi	Faculty of science Tunis -Tunisia	Deep learning, multimodal image fusion, CNN
Monica Hernandez	University of Zaragoza	Computational Anatomy
Luis Herrera	University of Granada	Deep Learning, Convolutional Neural Networks
Jonathan Hess	SUNY Upstate Medical University	Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett	University of Bordeaux	Patch-based biomarkers, hippocampus, hippocampal subfields
Derrek Hibar	Janssen R&D	PET, PIB, AV45
Moncef Hidane	INSA Centre Val de Loire	segmentation
Satomi Higuchi	Iwate Medical University	fMRI
Steven Hill	University of Cambridge	risk stratification, risk prediction, statistical methods
Jade Hind	Liverpool John Moores University	Symptom Association Analysis; Depression; Delusions
Adnan Hirad	University of Rochester	oculomotor dysfunction
DAISUKE HIRAHARA	Kagoshima Medical Technology College	Algorithm
florent hives	CHU Purpan Toulouse	FDG PET MSA SPM
Ngoc-Huynh Ho	Chonnam National University	Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
Mimi Hoang	Hart	brain image segmentation
Zachary Hobel	University of Southern California	Alzheimer's Disease
John Hoffman	University of Utah	FDG-PET, SPM group analysis
Jeremy Hofmeister	University Hospital of Geneva	neuroimaging, resting state, prediction
Carl Hoh	University of California, San Diego	MRI segmentation, principal component analysis, PET brain quantification
Timothy Hohman	Vanderbilt University School of Medicine	Genetics, Resilience, Asymptomatic,
Inés Hojas García-Plaza	CIEN Fundation	coverters
Daniel Holder	Merck Research Laboratories	Biomarkers
Jess Holguin (OTD... not PhD)	University of Southern California	neuroimaging informatics genetics
Robin Holmes	University Hospitals Bristol	Machine learning, VBM
Marcia Hon	Ryerson University	Alzheimer's, Machine Learning
John Hong	Carnegie Mellon University	Alzheimer's Disease Biomarker
zou hongliang	Nanjing University of Science and Technology	research
Guo Hongyu	SC University	Medical image processing
Paul Hopkins	Brown University	Alzheimers, SIFT, CDR
Russ Hornbeck	Wash Univ Sch Med - STL	Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
Andy Horng	Helen Wills Neuroscience Institute	Jagust, Alzheimers, Tau
Wesley Horton	Georgetown University	Neuropsychiatric inventory, depression, anxiety, apathy, transition rate
Khalid Hosny	Zagazig University	CAD system, Feature extraction
Mohammad Arif Hossain	East Delta University	Alzheimer disease
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
Beibei Hou	Beijing University of Posts and Telecommunications	Medical image analysis
Richard Houghton	F.Hoffmann - La Roche Ltd	prodromal safety
Katherine Houghton	RTI Health Solutions	biomarker, natural history, cost effectiveness
Erin Householder	Washington University School of Medicine	: As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
James Howlett	Medical Research Council	EPAD Risk Modelling
John Hsiao	National Institute on Aging	usability improvement
Ing-Tsung Hsiao	Chang Gung University	Feature Extraction; Early Diagnosis
Owen Hsu	Wistron	image processing, cluster, pipeline
Chih-Chin Hsu	National Yang Ming Uniersity	lifespan, diffusion, sex difference
Xixi Hu	Indiana University	brain networks, two-sample inference, time-evolving networks
Nan Hu	Genentech	biomarker; disease progression
Kun Hu	Shanghai Jiao Tong University	machine learning, auto-diagnosis
Yongli Hu	Institute for Infocomm Research	heterogeneous analytics, patient stratification
Lingjing Hu	Capital Medical University	Texture analyze, VBM
Tao Hu	Lanzhou University	Alzheimer's disease, biomarker, brain network
Li Hu	GuangDong Medical University	AD
Xiaolan Hu	MyGeneRecipe	dementia, biomarker
Haimeng Hu	Huashan Hospital, Fudan University, Shanghai, China	hippocampal volume standard
Tao Hua	Huashan hospital, Fudan university	Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Fei Hua	Applied Biomath	Alzheimer's Disease, mechanistic model, Abeta
Qi Huang	the University of Sydney	DTI
Zhiyue Huang	MRC	composite
Meiyan Huang	Southern Medical University	association anlysis
Zhiwen Huang	Huazhong University of Science and Technology	medical image classifier,
Marissa Huang	TMUH TIRC	neuropsychology, Alzheimer, dementia, aging
Michelle Huang	University of North Carolina, Chapel Hill	information science, neuroimaging, data organization
Chao Huang	UNC	multiscale adaptive regression model shape analysis
Peiyu Huang	Zhejiang University	CBF, network
Jiashuang Huang	NUAA	medical imaging;TADPOLE
Yuhan Huang	National Cheng Kung University	Alzheimer's disease, Data mining
Chun-Chao Huang	National Yang-Ming University	Cognitive reserve theory; total intracranial volume, fMRI
Sing-Hang Huang	Bioinformatics and Systems Biology	Biomarkers, Alzheimer’s Disease
Shuai Huang	University of Washington	Multimodal analysis, system biology
Markus Hubrich	Johannes Gutenberg-University Mainz	Alzheimer's disease diagnosis, MCI, convolutional neural network
Michael Huestis	e-Gogito LLC	amyloid positive; Ruvo Center; brain health; alzheimers
Edward Huey	Columbia University	NPI, agitation, Alzheimer's disease
Andrew Hufton	Springer Nature	data-peer-review metabolomics
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
Shu Huo	University of California, Santa Cruz	Bayesian data analysis, rsfMRI, connectivity
Hans-Jürgen Huppertz	Swiss Epilepsy Centre	MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
Vojtech Huser	National Institute of Health	clinical research informatics, common data elements, data science
Lal Hussain	University of Azad Jammu and Kashmir	Alzhimer's Disease, Dimentia, Brain Disorders
R. Matthew Hutchison	Biogen	Tau, Amyloid, functional connectivity, brain dynamics
Alexandre Hutton	McGill University	machine learning, prediction
Els Huyck	Fujirebio Europe	CSF Aß42
Jihye Hwang	Asan medical center	time analysis
JungMoon Hyun	Graduate Center of City University of New York	Cognition, Gray matter
alfredo iacoangeli	king's college London	telomere, bioinformatics , NGS , WGS
Dimitris Iakovakis	Aristotle University of Thessaloniki	Deep leargning
Victoria Ibañez	University Jaume I	Statistics,image analysis, neurology
Osamu Ichikawa	Icahn school of medicine at Mount Sinai	validation
ilknur icke	boston university	MRI data analysis, machine learning
Samuel Iddi	Alzheimer's Therapeutic Research Institute of USC	ADNI, TADPOLE, Alzheimer's
Kayoko Ide	LinkGenomics	Amyloid PET
Takuma Igarashi	Toshiba Medical Systems Corporation	Volumetry, multi-contrast analysis
Juan Eugenio Iglesias	Massachusetts General Hospital, Harvard Medical School	hippocampal subfield, segmentation
Laura Igual Muñoz	University of Barcelona	MRI
Ryoko Ihara	The University of Tokyo	preclinical AD, amyloid PET, CSF biomarker, clinical outcome
Tetsuya Iidaka	Nagoya University, Graduate School of Medicine	resting state, support vector machine
Takeshi Ikeuchi	Niigata University	biomarker, J-adni
John Ikhena	Duke University School of Medicine	MCI conversion, predicting risk, Alzheimer's disease
Toshikazu Ikuta	University of Mississippi	DTI; tractography; genetics
Hyung-Jun Im	University of Wisconsin - Madison	PET, PIB, Alzheimer's disease, dementia, AV-45
ana insausti	Universidad Publica de Navarra	Angular bundle, volume, stereology, medial temporal lobe
Philip Insel	NCIRE	power, rates of change
Azzurra Invernizzi	University of Groningen	Glaucoma subjects
ana-maria iosif	University of California Davis	Neuropsychiatric Inventory, severity, longitudinal, informative cluster size
Nancy Ip	The Hong Kong University of Science and Technology	synapse, cell surface receptors, kinase
ms iraji	pnu	neural network
Sierra Irizarry	Rhode Island Hospital	New hire
Emrah Irmak	Karabuk University	Image Registration, Alzheimer, Brain tumor investigation.
David Irwin	University of Pennsylvania	UDS, GWAS
Mariano Isaza	Universidad EAFIT	Thesis, image processing
Manabu Ishida	ERISA Co., Ltd.	Alzheimer's Disease, MCI, Machine Learning, 3D Convolutional Neural Network
Makoto Ishii	Weill Cornell Medical College	biomarkers, metabolic hormones, preclinical
Daisuke Ishii	Jenio Inc.	team ai
Kenji Ishii	Tokyo Metropolitan Institute of Gerontology	J-ADNI, PET, MRI
Jyoti Islam	Georgia State University	fMRI, Alzheimer’s Disease, Deep learning, CNN
Mazharul Islam	RCC Institute of Information Technology	ADNI database
Aya Ismail	University of Maryland	Machine learning , classification
Ariel Israel	Sheba Medical Center	DREAM Big Data Challenge
Elvin Isufi	Tu Delft	detecting anomalies over networks
Masato Ito	Osaka University	non-rigid registration, deep learning
Kaori Ito	Pfizer Inc	disease progression
Atsushi Iwata	The University of Tokyo	J-ADNI
Walter Izquierdo	Florida International University	BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
ALPHIN J	iiit	Longitudnal data model
dheeba J	Vellore institute of technology	machine learning
Akhila J A	Institute of Human Resources Development	Dementia
Emimal Jabason	Concordia University	Alzheimer. ADNI, Medical Image processing
amir jaberzadeh	usc	Hippocampus, thalamus, multiple sclerosis, MRI, 3DT1-weighted images
Edward Jackowiak	Nutonian	Alzheimer research
Eric Jackson	Jackson State University	Altzeimer
Jonathan Jackson	Massachusetts General Hospital	executive function, memory, aging, white matter
Chris Jackson	Pieces Technologies, Inc.	alzheimer's early detection deep learning neural networks
Samson Jacob	New York University School of Medicine	bioinformatics
HEIDI JACOBS	MGH HARVARD MEDICAL SCHOOL / MAASTRICHT UNIVERSITY	Cerebellum, cognition, biomarkers
Nina Jacobsen	Aalborg University	Hippocampus, CNN
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.
Ralf Jaeger	Eli Lilly and Company Limited	Pharma, Pre-clinical Research, Neuroscience/AD, Statistics
Tahere Jafari	marvdasht azad university	BOF,Image retrieval
Kourosh Jafari-Khouzani	Massachusetts General Hospital	FLAIR
Akshay Kumar Jagadish	EPFL	correlation
William Jagust	UC Berkeley	PET, ROI
Joseph Jahr	Molecular NeuroImaging	CSF, PET, Florbetapir
Shubhankar Jain	Caltech	beta amyloid, MRI, PET, Alzheimer, neurodegeneration, neurons, synapses, plaques
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
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
Jae-Won Jang	Kangwon National University Hospital	Visual rating scale, Brain MRI, Alzheimer's disease
Hyesue Jang	Seoul National University	Brain atrophy, Ethnicity, MRI, Aging
Jinseong Jang	Yonsei University	Image assessment
Jinhee Jang	Seoul St. Mary's Hospital, College of Medicine, The Catholic Univeristy of Korea	Deep learning, Atrophy, visual assessment
Rekh Ram Janghel	National Institute of Technology Raipur	Alzheimer, Neural Network, Convolution
Shasvat Jawahar	The Harker School	ADNI, Multimodal Approach, Deep Learning, Convolutional Neural Networks
Kharne Jean	University of Georgia	APOE e4 functional independence white matter integrity
SCHIRATTI Jean-Baptiste	Brain and spine Institute, Hôpital de la Pitié-Salpêtrière, Paris	longitudinal, statistics, mixed effects models
Bruno Jedynak	Johns Hopkins University	time dependent continuous latent variable statistical model
Angela Jefferson	Boston University	Cognitive Performance, Aging
Danna Jennings	Eli Lilly and Company	volumetric MRI, Amyloid imaging
Dominique Jennings	Biogen	atrophy
Minkyeong Jeon	CHONBUK NATIONAL UNIVERSITY	Alzheimer's disease, Machine learning, Feature extraction, Biological neural net
Seun Jeon	Montreal Neurological Institute & Hospital, McGill University	reproducibility
Yong Jeong	KAIST	fMRI, Resting State, DMN connectivity
JEON JEONGMIN	SEOUL NATIONAL UNIVERSITY	smooth backfitting
Charles Jester	Univeristy of Pennsyvania Hospital	SNPs, imaging
Ketan Jethwa	University of Nottingham	Basal nucleus of Meynert
Sangitha Jeyaseelan	McGill University	CSF biomarkers
Debesh Jha	chosun university	alzheimer disease
Gong-Jun JI	Anhui Medical University	classificaiton, disease, fingerprint, functional connectome
Jin Ji	Genentech Inc.	Graphs
Chong Ji	Nanjing University of Science and Technology	Sparse representation,Human action recognition,Motion features
Keren Jia	Nantong University	three-dimensional, MRI, ADNI
Bowen Jia	UC davis	network
Lee Jiacheng	TMMU	neuro network
guo Jiajia	University of Science and Technology of China	deep learning,MRI,medicai image,3D-CNN
weijian jian	jian	liver
Chunxiang Jiang	Shenzhen Institutes of Advanced Technology	neural activity, brain network
Tao Jiang	Singapore University of Technology and Design	Alzheimer's, shape, cdr
Shan Jiang	Institute of Medcal Sciences	alzheimer's disease and SNP
Gao Jianhua	Taiyuan University of Technology	Alzheimer's disease
zhuqing jiao	Changzhou University	fMRI
Du Jiao	Chongqing university	Image fusion
Zeyu Jiao	Fudan university	fMRI
Juan Ramon Jimenez Alaniz	Universidad Autónoma Metropolitana Iztapalapa	image segmentation, pattern recognition
Carolina Jimenez Gomez	Universidad Tecnológica de Pereira	DTI, neural connections, quantitative analysis, degree project
Adolfo Jiménez-Huete	Hospital Ruber Internacional	Differential diagnosis; Gray matter volumetry
Koji Jimura	Keio University	resting state fMRI, behavioral testing, functional connectivity
Hyeongmin Jin	Seoul National University	Alzeimer's disease, Image data analysis
YAN JIN	University of South Florida	Alzheimer
Yan Jin	University of California, Los Angeles	DTI
Zhu Jin	SUN YAT-SEN UNIVERSITY	Real data analysis
ishan Jindal	Wayne State University	TADPOLE
Guo Jing	Lanzhou university	Alzheimer's diease, predisposing risk, correlations
Xiong Jingyu	Shanghai University	AD, SVM
Jigar Jogia	Aston University	brain cognition dementia
Per Johansson	Fleningevägen Centrum f Byggnadsvård	Alzheimer, biomarker, diagnostic, hormones
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
kent johnson	University of New South Wales	prediction
Sterling Johnson	University of Wisconsin-Madison	tau, amyloid, pre symptomatic
Sterling Johnson	University of Wisconsin	CSF volume, VBM, rates of atrophy
Stephen Johnston	Swansea University	Prosopagnosia, VBM, MRI
Jane Johnston	Neurotez Inc	Leptin, clinical trial, Alzheimer's
Alireza Jomeiri	Azad university, Marand branch	Alzheimer's disease, PET
Katherine Jonas	University of Iowa	RDoC, latent variable models, information theory
Richard Jones	Brown University	testing, practice effects
Matthew Jones	Cardiff University	machine learning, APOE, cognition
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
Abhinay Joshi	Avid Radio-pharmaceuticals, Inc.	flrobetapir
Richard Joules	IXICO	Neuroimaging Machine Learning
Katherine Joyce	University Hospitals Bristol NHS Foundation Trust	dementia, atrophy, radiology, neuroradiology, diagnostics
Freimut Juengling	University Hospital Berne and PET/CT Centre Northwest Switzerland	SPM, AAL, SSP, PVC
Youngjin Jung	Dongseo University	ANN, CNN, PET, Dynamic PET.
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
chethan k	Vidyavardhaka college of engineering	cbmir
Amin Kabir	University of Tehran	Classification, Machine Learning
Pramod Kachare	Ramrao Adik Institute of Technology	Wavelet packet transform, linear discriminant analysis, deep neural network
Mouloud Kachouane	USTHB	Alzhaimer dMRI DTI
AMIT KADIAN	IITD	EBM
Harsha kadiveti	NIMHANS	SANSCOG
yothin kaewaramsri	KMITL	brain MRI, Alzheimer Disease
Li Kaicheng	Zhejiang University	930606CC
Marcus Kaiser	Newcastle University	connectome analysis, computer simulations, network dynamics
Bodo Kaiser	Ludwig-Maximilians-Universität München	medical image synthesis, gan, cnn
Lisa Kakinami	Concordia University	cognition; longitudinal; brain atrophy
Sanjay Kalra	University of Alberta	texture analysis
Hye Jin Kam	Samsung Advanced Institute of Technology	prediction, longitudinal progression, network
Shahab Kamali	Google Inc.	Machine Learning, Image Classification, Convolutional Neural Nets
NUR SHAZWANI KAMARUDIN	Arizona State University	ADNI2, Diffusion Tensor Imaging(DTI)
Josh Kaminker	Genentech	clinical trial
Benjamin Kandel	University of Pennsylvania	Linear regression; MCI; prediction
Nagaendran Kandiah	National Neuroscience Institute	dementia, stroke, small vessel
Michiwo Kanekiyo	Eisai Co., Ltd.	MCI, efficacy, trajectory
Tomoki Kaneko	shinshu university	visual rating system
Kai Kang	Chinese University of Hong Kong	Hidden Markov Model
Hakmook Kang	Vanderbilt University	functional connectivity, spatio-temporal model
Ju Hee Kang	Inha University	A-beta42, tau, phospho-tau
YUN SEOK KANG	The Ohio State University	Post mortem human surrogate
Yi Kang	Beijing Normal University	brain aging
Anuraag Kansal	Evidera, Inc.	simulation, model, clinical trial
Mohammed Kaouache	Prince Sultan University	Alzheimer, survival analysis, misclassification
Adam Kaplan	University of Minnesota	Joint and Individual Variation Explained
Akhil Karazhma Kottaram	The University of Melbourne	dynamic functional connectivity, resting state networks, defaultmode network,
Faizan Karim	Comsats	Deep Learning.
Nicki Karimi-Mostowfi	University of Southern California	Growth factors, inflammation agent
mahboobe karjoo	science and research university	fmri
Daniel Karlin	Pfizer, Inc.	Data, Transmart
Juliana Karp	University of Pennsylvania	hippocampus
Chiheb Karray	CNRS (Digital Research Centre of Sfax)	Machine Learning, Data Integration, Biomarker Discovery
Christiana Kartsonaki	University of Oxford	joint models, landmarking
Nick Kartsonis	NCSR Demokritos	dti mri
Naama Karu	Wishart lab / TMIC	metabolomics
Jaya Kasa	Stylus Tech	Machine Learning.
Keyvan Kasiri	University of Waterloo	Segmentation, Atlas, MRI
Audrey Katako	The University of Manitoba	Alzheimer's Disease imaging
Ryo Kato	Keio University	missing data analysis, multiple imputation
Panagiotis Katsonis	Baylor College of Medicine	Evolutionary Trace
HKKATTI KATTI	zeesense	Deep learning, Brain functions, Consiousness
Sukhmani Kaur	Information Sciences Institute	brain
Prabhjot Kaur	CU	MRI, sMRI , sparse representation
John Kauwe	Brigham Young University	mitochondrial copy number, Alzhiemer's disease, genetics
Atsushi Kawaguchi	Saga University	network analysis, multimodal, prediction
Michael Kawczynski	University of California, San Francisco	Deep Learning
yosra kazemi	Brock University	Deep learning; Alzheimer’s Disease; fMRI
Samaneh Kazemi	Robarts Research Institute	Alzheimer disease, Magnetic Resonance Imaging
Anees Kazi	Technical University of Munich	Deep learning, data retrieval, machine learning
Rijan kc	National college of Engineering	12345
samin kch	University of Tabriz	Neural algorithms
Andrey Kechin	Institute of Chemical Biology and Fundamental Medicine	BRCA, breast cancer, NGS, ovarian cancer
Martin Kelemen	University of Cambridge	genomic prediction, disease prognosis
Douglas Kelkhoff	Genentech	biomarker, progression, cross-study
Thomas Kelleher	Bristol-Myers Squibb Co	exploratory analyses, clinical trial endpoints
Frauke Kellner-Weldon	University	norm data, quality control,
Brendan Kelly	Washington University in Saint Louis	Deep Learning
Oliver Kennion	Newcastle University	biomarkers, Alzheimer's disease, progression
Nicole Chwee Har Keong	National Neuroscience Institute	Normal Pressure Hydrocephalus, MRI, DTI, biomarkers
Daniel Kerr	Laboratory of Neuroscience - LIM-27	genetic, biomarkers, cognition
Shelli Kesler	University of Texas MD Anderson Cancer Center	cancer Alzheimer's connectome chemotherapy
Carl Kesselman	University of Southern California	data integation
Daniel Kessler	University of Michigan	Statistics, Machine Learning, DWI
Max Keuken	UvA	comparison
Farzaneh Keyvanfard	Amirkabir University of Technology	fMRI, DTI, sMRI, connectivity
April Khademi	University of Guelph	brain segmentation, white matter lesions
Moein Khajehnejad	Sharif University of Technology	Alzheimer - Classification - machine learning
Abdullah Khalili	University of Hormozgan	White Matter Segmentation, Convolutional Neural Networks
Hikmat Khan	COMSATS Institute of information Technology, Islamabad	Parkinson,alzheimer
Samreen Khan	Information Technology University	Alzheimer's disease, segmentation, fMRI, functional connectivity
Wasim Khan	King's College London, Institute of Psychiatry	AD, MCI, MRI, CSF
Anzalee Khan	Neurocog Trials	Differential Item Functioning, Item Response Analysis, Cognitive Change
Hikmat Khan	COMSATS Institute of information Technology, Islamabad	researcher,dataset
tabrej khan	king abdulaziz university	genome wide data
Aunsia Khan	SZABIST	AD, MAchine learning
Sina Khanmohammadi	Binghamton University	Network Analysis; Functional Brain Connectivity
Tatiana Khasanova	Rancho Biosciences	disease progression, neuroinflammation, biomarkers
Ali Khazaee	Babol University of Technology	resting-state fmri
Lenny Khazan	George W. Hewlett High School	machine learning, neural networks, SNP
aym khl	université de montréal	Alzheimer, indexation des images par le contenu, classification, IRM, ITD
Mohamed Salah KHlif	Florey Institute - Melbourne	stroke AD hippocampus
afsoon khodaee	university of tehran	fmri,mri
Mizanur Khondoker	King's College London	Machine Learning, Statististical Genetics, Imaging QTL
Sok Kean Khoo	Grand Valley State University	biomarker
Reza Khosrowabadi	Institute for Cognitive and Brain Sciences	Graph theory, Functional connectivity, Genetic marker
Kiran Khurshid	St. John's University	Item Response Theory, Measurement Invariance, Biomarkers, Longitudinal Analyses
reihaneh kianfard	najaf abad univercity	MRI.AD
Satoshi Kida	LPixel	white matter lesions, PVH, DSWMH, FLAIR, machine learning
Steven Kiddle	University of Cambridge	statistics
Masataka Kikuchi	Osaka University	eQTL, GWAS
Masashi Kikuchi	MSD K.K.	cognitive measurements progression
Ron Killiany	Boston University School of Medicine	regions of interest, neocortex, hippocampus, entorhinal cortex
Hanwoong Kim	Yonsei Univ	deep learning
Younghoon Kim	Korea University	Machine Learning, Feature Engineering, Deep Learning
Taehyun Kim	Seoul University Bundang Hospital	cognition; hyperintensity ; difference ; connectivity
Jongin Kim	Gwangju Institute of Science and Technology	deep learning, pattern recognition, Boltzmann machine
Jung-jae Kim	Institute for Infocomm Research, Singapore	deep learning, heterogeneous data analytics, AD classification
Hang-Rai Kim	Korea advanced institute of science and technology	Amyloid, MCI, Deep Learning
Jeonghun Kim	Korea University	neuroimage
Seong Yoon Kim	Asan Medical Center	MCI, Cortical thickness, US vs. Korean
Jaeyeol Kim	Gachon University	Deep learning
SEONGJI KIM	USC VOLUNTEER	n/a
ki hwan kim	KAIST	deep learning, MRI, reconstruction
bohyun kim	hanyang univerisy	imaging genetics
Joseph Kim	Seoul National University	Deep Learning, multimodal registration
Sungeun Kim	State University of New York, Oswego	genetics, multi-omics, neuroimaging
Mijung KIM	Ghent University	Alzheimer disease analysis
Jeongsik Kim	Samsung Medical Center	Cortical thickness, FreeSurfer
Woo-Sung Kim	Chonbuk National University	Deep learning; 3D CNN; Schizophrenia; Clasification
Jongin Kim	Kwangju Institute of Science and Technology	deep learning, pattern recognition
Nakyoung Kim	MIDAS IT	freesurfer
Jong Hun Kim	Samsung medical center	GWAS, biomarker, prediction
Sunhee Kim	Seoul National University	dementia, ADNI
Jeongchul Kim	Wake Forest University Baptist Medical Center	Brain imaging, Biomechanic, Deformaiton, MCI/AD
ChanMi Kim	Asan Medical Center, Ulsan University School of Medicine	MR image, PIB-PET, DTI tractography
Hyunwoo Kim	University of Wisconsin-Madison	AD. Statistical analysis. Visual biomarker. Disease progression pattern
YEO JIN KIM	Samsung medical center	APOE2, amyloid deposition
Heeyoung Kim	Kosin University Gospel Hospital	DTI, Amyloid, Alzheimer's dementia
Seonjik Kim	catholic university of Daegu	PET, brain image processing
Byeongnam Kim	Yonsei university	MRI
Nicola King	Plymouth University	Biomarker, biomarkers, serum, blood, urine, Azheimer's Disease
Lisle Kingery	CogState	neuropsychology
Kirsi Kinnunen	UCL Institute of Neurology	longitudinal, MRI, DTI
Marie Kinomes	Ateneo de Manila University	Alzheimer's MRI
Jan Hendrik Kirchner	Uniklinikum Freiburg	ASL, machine learning
Jessica Kirkland Caldwell	Cleveland Clinic Center for Brain Health	hippocampus, memory, resting state, gender, amyloid
brock kirwan	Brigham Young University	hippocampus; MRI
chiemi kitamura	FUJIFIRM RI Pharma Co.,Ltd.	Amyloid
kitty kitty	College of Information Engineering	DARTEL AD VBM
David Kiviat	University of Florida	deep learning, alzheimers
Vera Kiyasova	Institute de Recherches Internationales Servier	MMSE, ADAS Cog, NPI, ADNI vs French Cohort
Richard Klein	Georgetown	training
Alison Klein	Johns Hopkins School of Medicine	Control, Familial Pancreatic Cancer
Richard Klein	Georgetown	aging; roi
Jan Klein	Fraunhofer MEVIS	atrophy
Aaron Kleinman	23andMe	parkinsons alzheimers
Mitchel Kling	University of Pennsylvania School of Medicine	Stress, depression, disease biomarkers, disease progression biomarkers
Joern Klinger	University of Potsdam	machine learning, genomics, patient stratification
Rebecca Klinger	Duke University Medical Center	amyloid, cognition, cardiac surgery
Katharina Klink	Psychiatric Services University of Bern (UPD)	arterial spin labeling; Alzheimer's disease; classification
Jesse Knight	University of Guelph	MRI, segmentation, image analysis
Mustafa Kocaturk	Bogazici University	Adaptive Methods Alzhimer Disease Ensemble Classifier
Philipp Johannes Koch	EPFL	stroke, aging, connectivity, structural, functional
Lisa Koch	ETH Zurich	machine learning; image analysis
Elena Kochova	Vrije Universiteit Amsterdam	amyloid, PET, cluster analysis
Loren Koenig	NYU School of Medicine	cerebral metabolic rate, glucose metabolism, amyloid-beta pathology
Natalie Koh	University of Washington	alzheimer's, quality control
Jens Erik Köhler	Freelance	Convolutional; Neural Networks; Image Processing
Juha Koikkalainen	VTT Technical Research Centre of Finland	spatial normalization
Marisa Koini	Medical University of Graz	AD, cognition, functional and structural network changes
Vijaya Kolachalama	Boston University School of Medicine	AD, MRI
Rebecca Koncz	University of New South Wales	Amyloid PET; small vessel disease; MRI; DTI; CSF-Ab
Xiangzhen Kong	Beijing Normal University	practice
Vincent Kong	Douglas Mental Health University Institute	hippocampal volume, amyloid, cortical thickness
Dehan Kong	University of North Carolina	Multivariate Pattern Analysis, Survival Models, MRI
Linglong Kong	University of Alberta	Alzheimer's Disease Neuroimaging Initiative, Corpus callosum, Fractional Anisotr
Xiang-Zhen Kong	Beijing Normal University	replication analysis
Ender Konukoglu	ETH Zurich	method development, machine learning, patio-temporal models
Daniel Kopeinigg	Private research group	Dementia,deep learning, MCI,
Krzysztof Kopera	Intelligent Services sp. z o.o.	AI; zygomatic bone; injury
Simon Koppers	RWTH Aachen University	dMRI, Deep Learning
Andrey Kor	University of Oxford	deep learning, unsupervised learning, modelling
Matheus Korb	Universidade Federal de São Carlos	Hippocampus Segmentation, BIPGroup, Alzheimer Disease
Sasha Korekov	Perm State University	none
Panagiotis Korfiatis	Mayo Clinic	Deep Learning, Skull stripping, Segmentation
Sergey Korolev	Institute for Information Transmission Problems	Autoencoder, CNN
Valeriy Korostyshevskiy	Georgetown University	APOE4, predictive modeling, imaging
Heena Koshiya	government engineering collage, gandhinagar	diagnosis, CTscan, MRI
James Kost	Merck & Co., Inc.	Parameter Estimates, Cognition
Vikas Kotari	George Mason University	Image Processing
Danai Koutra	University of Michigan	summarization, graph mining
Ivan Koychev	University of Oxford	Mild AD/MCI; PET and CSF tau and amyloid; Cognitive progression; Age effects
kruthika kr	Acharya institute of technology	Brain print
Tillmann Krahnke	Cogitars GmbH	ADAScog, ADAScog variants
joel kramer	UCSF	biomarkers, plasma, CSF, amyloid, longitudinal
Matthew Krause	McGill	deep learning, analysis, replication
Matt Kraybill	San Francisco VA Medical Center	Neuropsychology
Martin Kriebel	NMI Reutlingen	WGS, Neuroinflammation, TLR
hari krishna m	college of engineerin,thrissur	machine learning, classification, cost,mild cognitive impairment (MCI)
Stephan Krohn	Freie Universitaet Berlin	fractal dimension; computional image analysis; tissue complexity measures
Frithjof Kruggel	UC Irvine	DTI
Amy Kuceyeski	Weill Cornell Medical College	computational analysis, brain connectivity network, prediction of AD progression
Florentin Kucharczak	University Hospital of Montpellier	PET, early diagnosis, interval-based reconstruction
Donald Kuhl	Lawson Research Institute	ADNI-GO
hemalatha kulala	Sri Padmavati Mahila Visvavidyalayam	Soft computing, A;zheimer's, Classification
Devang Kulshreshtha	Indian Institute of Technology, Varanasi	AD/MCI Diagnosis, deep learning, multimodal machine learning, neuroimaging
SAMBATH KUMAR	PONDICHERRY UNIVERSITY	MRI,fMRI
SANTOSH KUMAR	NIT ROURKELA	alzhemers disease.
ANIL KUMAR	aitam	BIO MEDICAL IMAGE PROCESSING
Dinesh Kumar	University of California Davis	metabolomics, text mining, machine learning
Abhishek Kumar	IPR	Deep Learning, Data Mining, Software
A KUMAR	JIST	diagonise alzemiers prediction
Saurabh Kumar	Birla Institute of Technology and Science	Alzheimer's disease, Icahn School of Medicine
Kuldeep Kumar	Ecole de technologie superieure	Co-clustering, dictionary learning, classification
Ashwani Kumar	Jaypee University of Information Technology	dementia, alzheimer’s disease, database, Image, Biomarkers
Ambar Kumar	Dronacharya College Of Engineering	Image Steganography, PSNR (Peak signal -to -noise ratio) value, MSE (Mean Squar
Rishab Kumar	Guru nanak Dev University	ADNI database to work with CNN
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
Seyul Kwak	Seoul National University	Brain age, predictive modeling
Doyeon Kwak	Korea Advanced Institute of Science and Technology	machine learning, alzheimers, deep learning
Kenneth Kwan	IXICO	MRI
Arkadiusz Kwasigroch	Gdansk University of Technology	neural network, deep learning
Young Hye Kwon	KAIST	language, AD, fMRI
Sunghyon Kyeong	Yonsei University College of Medicine	subtype identification, risk factors of dementia, topological data analysis
Christian La	Stanford	dynamicFC using rs-fMRI
Claire La Fleur	University of Virginia	cognitive dedifferentiation, aging, individual differences
Supriyadi La Wungo	Universitas Hasanuddin	alzheimer disease, data mining
Tomas Labbe	Pontificia Universidad Católica de Chile	functional disorganization, structural change
Daniel Lacombe	Florida Atlantic University	deep learning, sMRI, diagnosis
Meher Lad	Newcastle University	hippocampus, brain atrophy
Geet Lahoti	Georgia Tech	Biostatistics
Dongbing Lai	Indiana University School of Medicine	genotyping QC
Ying Liang Lai	Taipei Medical University	rsfMRI, MT, DMN, Dementia
Catherine Lai	Brearley School	Alzheimer's, genome-wide association studies
Dillon Laird	Stanford	machine learning, feature representation, image generation
Anita Lakatos	University of California, Irvine	genome, mitochondria, PET images
Alice Lam	Masschusetts General Hospital	fMRI
Ramesh Lama	Chosun Unversity	Alzheimer's disease
Ramesh Lama	Chosun Unversity	Alzheimer's disease, MRI, biomarkers
Christian Lambert	St George's University of London	Segmentations; Classification; Vascular Dementia; Parkinson's Disease Dementia
tian lan	stanford	deep learning
Susan Landau	UC Berkeley	PET FDG ROI
Bennett Landman	Vanderbilt	labeling, multi-atlas
victor landre	NTNU	viewing history
Elizabeth Lane	Vanderbilt University Medical Center	Vascular risk, biomarkers
Catharina Lange	Charité - Universitätsmedizin Berlin	multi-modal, dementia, MCI
Alexandre LANGENIEUX	Pixyl	CAD segmentation software MRI VBM Normalization
Caleb Lareau	Harvard University	inflammatory, causal, intermediate
Katelyn Larson	University of Calgary	Harmonized hippocampal protocol
Ghazanfar Latif	Prince Mohammad University	Alzheimer
Ross Lauber	SUNY Oswego	Standardized MRI Data
Gabriele Lauria	Student of UNIVERSITA TELEMATICA INTERNAZIONE UNINETTUNO	MRI brain image in A.D. patient
zh lawliet	Chongqing University	Medical,deep learning
Emma Lawrence	Imperial College	Mathematics, Models, statistics, Database Simulation,
Anca Lazar	University of Medicine and Pharmacy Grigore T. Popa	wavelet
Ngan Le	Carnegie Mellon University	Segmentation, Classification
THI KHUYEN LE	Aix Marseille University	Glucose consumption, AD, NC, MCI, inverse covariance matrix estimation
Matthieu Le	Arterys	machine learning segmentation
Yann Le Guen	CEA	imaging genetic, heritability, cortical structures, sulci, sulcal pits
Stephanie Le Scouiller	Roche Products Ltd	Clinical meaningfulness
Stephanos Leandrou	European University Cyprus	Alzheimer’s disease; Mild Cognitive Impairment; quantitative MRI; temporal lobe;
Christopher Leatherday	Curtin University	Alzheimer's, Hippocampal Mask, Statistical Parametric Mapping, FDG-PET, MRI
Mackenzie Leavitt	Cleveland Clinic	MCI, RSFMRI, ADNI
Christina Ledbetter	LSUHSC Shreveport	Amyloid PD
DASOM LEE	Seoul National University	MCI, AD, Biomarkers, MCI conversion
qixiang Lee	GDUT	Machine learning
Gyungtae Lee	MIDASIT	cortical reconstruction
Annie Lee	National University of Singapore	T1, resting-state, age-effects, gender
Jaehong Lee	Gachon	Deep Learning
Kuo-Jung Lee	NCKU	Bayesian, fMRI, MCMC, Spatio-Temporal, Alzheimer's disease
Jusung Lee	Gwangju Institute of Science and Technology (GIST)	MRI, segmentation
Jaeho Lee	Blank	Machine Learning, Sector Vector Machine, Alzhemiers
Serin Lee	Koh Young Research America	image synthesis
Angela Lee	NIST	Alzheimer disease
Suzee Lee	UCSF	frontotemporal dementia
Erik Lee	Massachusetts General Hospital	TMS, finite element, brain-scalp distance
Dongyoung Lee	Seoul National University Hospital	Amyloid, APOE e4, cerebral glucose metabolism, brain network
Yunseong Lee	Seoul National University	machine learning, distributed systems
Hyekyoung Lee	Seoul National University	Brain network, persistent homology, hole, module
Eunho Lee	korea university	AD, PD
Sang-gil Lee	Seoul National University	deep learning, multimodal data
Catherine Lee	Harvard School of Public Health	survival analysis, left truncation, time-dependent covariates, cox model
Peng Jung Lee	National Cheng Kung University	Cloud Computing,AD,deep learning
Hyunna Lee	University of Ulsan College of Medicine	deep learning
Cheng-Hsien Lee	National Cheng Kung University	thesis
Song-Ting Lee	National Cheng Kung University	Texture analysis,Alzheimer disease,Image processing
seonjoo lee	columbia university	longitudinal data analysis
Subin Lee	Seoul National University	atrophy; Alzheimer's disease; MCI
Ho-Joon Lee	Severanceh Hospital, Yonsei University College of Medicine	Partial correlation, mild cognitive impairment, PIB, florobetavir
Mi Ri Lee	NYU GSAS/NYULMC	Dementia, Pregnancy
Joel Lee	VA Medical Ceneter	dementia, anterior cingulate cortex, age associated cognitive decline,
Ilgu Lee	Pactera	Alzheimer
Wook Lee	Department of Computer Science and Engineering, Inha University	TBSS, DTI, AD
Sangwon Lee	Sogang University	CNN
Hyuntae Leem	Sogang	PET
charlie leger	York University	cortical, subcortical grey matter volume
Gabriel Leger	Cleveland Clinic	FDG-PET, FTD, LBD, AD, clinical Dx, prediction
Benoit Lehallier	Stanford	Machine learning; bioinformatics; prediction
Haoyun Lei	University of Pittsburgh	schizophernia
Hongxing Lei	Beijing Institute of Genomics, Chinese Academy of Sciences	diagnosis
B. Lei	Shenzhen University	classification
Shi Lei	Tsinghua University	Image registration, connectivity
Wang lei	neu	brain network classification
Andreas Lemke	HQ Imaging	VBM, Freesurfer, SPM,
DAVID Leo	TSINGHUA UNIVERSITY	gene
Sharlene Leong	Howard University	depression, African Americans, mild cognitive impairment, neuropsychology
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
Ondrej Lerch	2nd Faculty of Medicine, Charles University in Prague	DTI, basal forebrain, tractography, hippocampus
Keren Lesinger	Ben Gurion University	neural face- network, deterioration, resting state
Yip Sang Leung	The University of Hong Kong	Brain segmentation
Ming-Ying Leung	The University of Texas at El Paso	bionformatics, computational analysis, genomics, proteomics, imaging data
Hoi-Chung Leung	Stony Brook University	Parkinson's disease, Alzheimer's disease, biomarkers
Shuyu Leung	Sun Yat-sen University	research
Yuk Yee Leung	UPENN	biomarker study
gidon levakov	Ben Gurion University	Deep lerning
Abraham Levine	Emerald Logic	Mild Cognitive Impairement, Alzheimers, Diagnostic Factors, Disease Progression
Chao Li	Southern Medical University	AD, Support vector machine, machine learning
jicong li	South China University of Technol	deep learning
Xingfeng Li	University of Nottingham	fmri
Jiewei Li	HKU	fMRI, MCI, AD
Tengfei Li	MD.Anderson Cancer Center	neuroimaging, Alzheimer's Disease
Nannan Li	Beihang University	synthesize CT
Yeshu Li	BUAA	flow, multi-atlas, hippocampus, segmentation
Xing Li	UQ	medical image processing
Yi Li	NYU school of medicine	FDG-PET PIB-PET MRI
Miranda Li	University of Queensland	Image Processing
Qingqin Li	Janssen Research & Development, LLC	GWAS WGS
Huijie Li	Institute of Psychology, Chinese Academy of Sciences	functional connectivity, mild cognitive impairment, Alzheimers' disease
Chawn Li	Hangzhou Normal University	MVPA
BINYIN LI	Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine	Alzheimer's disease, mild cognitive impairment
Mengmeng Li	Zhengzhou University	MRI, Texture Analysis, Feature Selection, PLSR, CFS
WENYAN LI	University of Maryland, College Park	Tadpole
Jinchao Li	UCLA	graphical models
JIEQIONG LI	Qingdao Municipal Hospital	NEURO
yi li	NYU School of Medicine	AD, Amyloid, TBI, TAU
Tianhong Li	Tsinguha University	white matter, classification
Yang Li	Johns Hopkins University	pulsed ASL
Yihan (Jessie) Li	Genomics Ltd	MudChuk2!
Yongming Li	chongqing university	alzheimer's disease MR image
Chenxi Li	Michigan State University	structural MRI, fMRI, ICA, survival analysis, high dimensional feature selection
Feijiang Li	Shanxi University	machine learning
Shuyang Li	UC Davis	cognitive decline, pathology, Alzheimer's Disease
Xiangrui Li	The Ohio State University	sMRI VBM
Tieqiang Li	University College London	Topological Data Analysis
Yanming Li	University of Michigan	neural network, GWAS, conditional graphical model, Alzheimer, MCI
Xuan Li	Southeast Univ.	MVPA, feature extraction, Alzheimer's disease
Rongjian Li	Old Dominion University	image segmentation
Zhi Li	Northwest University	research
Yi-Ju Li	Duke University Medical Center	Biomarker, genetics association, multi-state method, cognitive decline
YU Li	UQ	image
Kang Li	RenMin university	Task control network, dACC, aging
zhenzhen li	Henan University	Apply for Access to Data
xiantao li	Huashan Hospital	MCI memory
Zhenzhen Li	Chinese PLA General Hospital	AD，Meta Analysis，different frequency
Muwei Li	Sichuan University	AD classification
Wenjun Li	Medical College of Wisconsin	Alzherimer's disease, depression, mild cognitive impairment, biomarkers
Jialu Li	Beijing Institute of Technology	distance-based regression
Guangyu Li	University of Southern California	Deep Learning
XW LI	BeiHang University	hippocampus segmentation
Yan Li	Wayne State University	Alzheimer’s disease, feature learning
XW LI	BeiHang University	hippocampus
Yibai Li	Carnegie Mellon University	student
Yupeng Li	Shanghai University	MCI,AD
Tao Li	Chinese Acadame of Science	classification
Xinzhong Li	Plymouth University	Biomarker, AD, Machine Learning
Michelle Li	Evergreen Valley HS	Alzheimer's, Machine Learning
zhengyi li	south-central university for nationalities	pattern identification
Junning Li	Keck School of Medicine of USC	registration, atlas
ZHUJUN LI	GEORGIA STATE UNIVERSITY	Image denoising
Yafen Li	Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences.	MRI, CT
Fan Li	Shanghai Jiao Tong University	Cerebral Microbleeds, Alzheimer's disease, Deep learning
Jun Li	ICT	study; alzheimer
Cen Sing Li	Imperial College London	Alzheimer's disease, tau, amyloid
wei li	Indiana University	APOE4, Diabetes, Alzheimer' disease
Dan Li	University of Southern California	Alzheimer's disease; joint mixed effects model; Multiple outcomes
Yang Li	University of Rochester	fMRI, machine learning, brain network analysis, AD data
xiaofeng Li	the second affiliated hospital of Chongqing Medical University	cognitive impairment, brain atrophy, enlargement of ventricle
CHUNFEI LI	Florida International University	Alzheimer’s Disease Big Data DREAM Challenge
Lin Li	Seattle University	MCI detection, machine learning
Wen Li	Merck	AD
Yingjie Li	Michigan State University	Predicting, MCI, AD
Rui Li	TUM	PET for Alzheimer
Yaqing Li	Qingdao University	α-synuclein GWAS SNP
LINA LIAN	Sun Yet-sen University	PET, 3dCNN
Chunfeng LIAN	UNC Chapel Hill	image prediction/reconstruction, deep learning
Jingjing Liang	Case Western Reserve University	Alzheimer's disease, multiple network analysis
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
Chen Liang	DLMU	Data Mining, Brain Patter, fMRI
Nanying Liang	Institute for Infocomm Research	medical data, genetics data, machine learning, Alzheimer disease
Huiling Liao	University of Texas MD Anderson Cancer Center	TADPOLE, ADNI3, clinical status, ADAS-Cog13 score, Ventricle volume, forecast
Sofia Liberman	Technion	diagnosis, dementia
David Libon	Rowan University	MCI, cognitive factors, fluid biomarkers, radiology
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
Wee Keong Lim	Dawson College	MRI, brain disease progression, predictive model
Yen Ying Lim	The University of Melbourne	brain derived neurotrophic factor; apolipoprotein E; amyloid; Alzheimers disease
Nehemy Lim	University of Washington	Brain connectivity networks, Voxel-level graphs, High-dimensional regression
Liyan Lin	Southern Medical University	MR-CT image pairs,academic research
Yenching Lin	NCTU	Alzheimer
Katherine Lin	Northwestern University	SHBG, MCI, gender differences, hormones, ApoE4
Chien-Tong Lin	National Tsing-Hua University	Sparse group variable selection, hierarchical LASSO, elastic net
Ming Lin	University of Michigan	Subgroup Detection, Trajectory Clustering, MCI
Ruby Lin	National Central University	Alzheimer'shippocampus
JING LIN	ZZU	Hippocampus
Ai-Ling Lin	University of Kentucky	arterial spin labelling, amyloid-beta
bingpeng lin	China Northeastern University	brain network
Bing Lin	CMU	wavelet Analysis
bin lin	beijing normal university	cnn, deep learning, fMRI
Ching-Heng Lin	National Yang-Ming University	medical informatics
Sung-han Lin	Chang-Gung University	Classification, Alzheimer's disease, Mild cognitive impairment
LIN LIN	University polytechnic of madrid	hippocampal marker
Jyh-Miin Lin	National Taiwan University	non-Cartesian reconstruction
W.M Lin	Fuzhou University	deep learning
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
Nikita Litovka	Alapy	Admixture, genomic data, whole genome sequencing data
Graham Little	University of Alberta	Machine Learning, Predictive Modelling, Alzheimer's Diagnosis
ning liu	Beijing University of Technology	multi-modalities High accuracy
Tao Liu	University of Technology, Sydney	cortical folding, Alzheimerâ€™s disease, longitudinal
I-Hsin Liu	National Chiao Tung University	Alzheimer's, Gene, Pathogenesis
Lan Liu	University of Minnesota at Twin Cities	dimension reduction, interaction, regression
Yong Liu	Institute of Automation, Chinese Academy of Sciences	Brain network, Imaging biomarker
Dongbo Liu	Sichuan University	3D CNN fMRI AD
Tianming Liu	Univ. of Georgia	cortical thickness
Xueqing Liu	Columbia University	fMRI simulator
Yang Liu	General Assembly	Data Science
Hao Chen Liu	China Pharmaceutical University	disease progression model metabolic networks
MAN-YUN LIU	Taipei Medical University	biomarkers;machine learning;early detection;Alzheimer’s disease
ke liu	Beijing Normal University	123456789
Briana Liu	USC IGC	alzheimer's, inflammation
Chin-Fu Liu	Johns Hopkins University	subcortical
Wayne LIU	MERIDIGEN BIOTECH CO., LTD	BD
Jia Liu	Ludwig-Maximilians-University	Posterior cortical atrophy, biomarkers, neuropsychology
Eulanca Liu	UCSD	hippocampus
Yan Liu	University of Chinese Academy of Sciences	MRI, AD, image processing, feature extraction
Li Liu	Arizona State University	Biomarker
Jundong Liu	Ohio University	AD, MCI, Shape, Subcoritcal, MRI
richann liu	Pfizer Inc.	Meta-analysis, PLS, PCR, MCI, AD
Chia-Shang Liu	University of Southern California	fMRI, connectivity, cognition
Wenjie Liu	Harbin Engineering University	imaging genetics
victor LIU	Tsinghua University	medical data mining, machine learning
lin liu	Qufu Normal university	human brain connectomes
Dan Liu	Xi'an Institute of Posts and Telecommunications	classification
hao liu	tsinghua university	deep learning
Sidong Liu	University of Sydney	Image Analysis and Retrieval
Ying Liu	Medical College of Wisconsin	MRI Analysis, Image Denoising
Xiuwen Liu	Florida State University	Computer Vision, Shape Analysis
Mengmeng Liu	UCSF	AD, PET
Xiaoli Liu	Northeastern University	prediction
Chien-Liang Liu	National Chiao Tung University	Alzheimer’s Disease, Convolutional Neural Networks, Prediction
zhaowen liu	fudan	brain
Yang Liu	JiLin University	MRI, brain disease prediction
Weixiang Liu	Shenzhen University	machine learning new algorithm
Tingshan Liu	Smith College	Longitudinal, graph theory, Alzheimer's Disease
Jin Liu	Central South University	SNP data, MRI, fMRI
LIUYU LIUYU	SICHUAN UNIVERSITY	researching AD disease
Gabriel Lizarraga	Florida International University	svm, signal processing
JEROME LLIDO	INSERM	Magnetic resonance imaging, Alzheimer disease, Mild cognitive impairment
Sandro Lobao	Federal University of Sao Paulo	Segmentation Engineering MATLAB
Samuel Lockhart	University of California Berkeley	Tau, Amyloid, Aging, Preclinical Disease, White matter
Henrik loft	H. Lundbeck	Rate of decline, Composite scores, Segmentation
Kelly Lohr	Brigham and Womens Hospital	Alzheimer's disease, aging,
Hoi Kei Lon	AbbVie, Inc	Disease progression, biomarkers, imaging
Kashif Javed Lone	University of Azad Jammu and Kashmir	machine learning, dimentionality reduction, AD, ensemble methods
Kashif Javed Lone	University of Azad Jammu & Kashmir	Alzheimer’s Disease, Dementia, PET
Rodney Long	National Library of Medicine/NIH	fMRI, deep learning, connectivity, chronectrome
Xiaojing Long	Virginia tech	longitudinal analysis, pathological regions, AD
ziyi long	Dongzhimeng Hospital	MRI prognosis
Frank Longo	Stanford	Convolutional Neural Network, MCI conversion
Isadora Lopes Alves	Vrij Universiteit Medisch Centrum	AMYPAD, PET, quantitative analysis
Guadalupe Lopez	UNIVERSIDAD AUTONOMA METROPOLITANA	SVM, ANN'S
Marco Lorenzi	INRIA Sophia Antipolis	biomarker, imaging-genetics, spatio-temporal modeling, diagnosis, clinical trial
Marco Lorenzi	UCL	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
Seth Love	University of Bristol	CSF, dementia, Alzheimer's disease, vascular cognitive impairment
Deborah Lowe	Texas A&M University	factor analysis, structural equation modeling
Bo Lu	Harvard University	gene SNPS drug interaction
Bo Lu	Harvard University	GWAS
Bin Lu	Institute of Psychology, CAS	machine learning
zheshen lu	Yangzhou University	Data mining
Shen Lu	University of Sydney	dementia, FDG-PET, kernel learning machine
Qing Lu	Michigan State University	non-parametric method; functional data analysis
Jiaming Lu	Affiliated Drum Tower Hospital of Nanjing University Medical School	maching learning; AD
Pascal LU	Brain and Spine Institute	Genomics, Neuroimaging, machine learning
Chia-Feng Lu	Taipei Medical University	radiogenomics, image biomarkers, early diagnosis, prognosis
Patty Lu	N/A	deep learning machine analytics
Chuan Lu	Aberystwyth University	Data integration, Bayesian, deep learning, brain diseases
Hangquan Lu	Xiamen University	AD,MCI,MRI,PET,Deep learning
Zixiang Lu	Nanjing University of Aeronautics and Astronautics	brain network analysis; feature extraction; classfication;
Lijun Lu	Southern Medical University	PET
Yadnyesh Luktuke	Delft University of Technology	Machine Learning, Representation Learning
liao luo	Nankai university	deep learning
Sheng Luo	The University of Texas at Houston	Longitudinal data; item response theory; Bayesian; MCMC
weidong Luo	Cortechs labs inc.	AD
Wei Luo	South China Agricultural University	feature learning, image classification
Shaojun Luo	City College of New York	SNP AD fMRI
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
Shan Luo	USC	insulin sensitivity, cognitive impairment, hippocampus, Alzheimer Disease
Qiang Luo	Fudan University	multivariat analysis, prediction
peggy luo	cuhk	mri
Michelle Lupton	QIMR Berghofer Research Institute	Alzheimer's disease; rare sequence variants; exome sequence data; replication
Theresa Lusardi	OHSU	microRNA, Alzheimer's Disease, Traumatic brain injury
Michael Lutz	Duke University School of Medicine	regulatory variants, gene expression changes in Alzheimer's disease, genetics
Eric Lv	SJTU	image process
Juan Lyu	Harbin Engineering University	Restrict Beltzmann Machine Alzheimer's disease
Angshul M	Indraprastha Institute of Information Technology	MRI reconsstruction
Ramya M	Jerusalem college of Engineering	Neurodegenaritive Disease
Ghokul M	IIT Madras	Brain CT and MRI data
Radha M R	PESIT	AD
Dinesh M.S.	Philips India Limited	Image Quality
Dinesh M.S.	PES College Of Engineering	Student Project
Qianli Ma	Nanjing University of Posts and Telecommunications	nonlinearity; complexity; phase synchronization
tianyu ma	Tsinghua University	image reconstruction, joint reconstruction, kinetic modeling, multicenter study
Jin Ma	Pingan Tech	deep learning, CNN, Alzheimer’s Disease
Xiangyu Ma	CCMU	Aging, Neurodegenerative Diseases, MRI
Chao Ma	Guilin University Of Electronic Technology	MRI;PET;muti-mode
li ma	PanoTech Inc.	image retrieval
Xiaozhou Ma	XtalPi	AD, CAD
Yu Ma	NingXia university	multi-atlas sementattion research
Daniel MacArthur	Broad Institute	genome, aggregation, database
Paul Macey	UCLA	sleep; autonomic; limbic
Eric Mach	Iowa State University	Resting State fMRI
Imola MacPhee	USC - Neuroscience Graduate Program	PHEWAS GWAS GENES FMRI
Mahboubeh Madadi	Louisiana Tech University	Classification, Clustering
Bharat Madan	Old Dominion Univ	machine learning, supervised learning, MRI, Image analysispattern classification
Christopher Madan	Boston College	brain morphology; fractal dimensionality; healthy aging
Giovanny Madero	UN	Science , Models , Analytics
Radhika Madhavan	General Electric	Deep learning, resting state connectivity, graph based analysis
Tara Madhyastha	University of Washington	aging, functional connectivity
nobuhisa MAENO	Aichi Shukutoku University	amyloid imaging
Amalia Magaret	University of Washington	decline
Hamzah Magsood	Virginina Commonwealth university	simulation
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
Kariman Mahmoud	Faculty of Engineering Cairo University	CBIR
Abeer Mahmoud	Ain Shams Unv	machine learning , KDD
ahmad mahmoudi	iranin system	non-local PCA
Siamak Mahmoudian Dehkordi	North Carolina State University	NA
Monika Mahor	ABVIIITM	Alzheimer, vocal parameters
Taleen Mahseredjian	USC	Remitted geriatric depression, cortical thickness
cha mai	University of Shanghai for Science and Technology	Alzheimer’s disease; diagnosis; white matter
Rui Maia	IST	data quality accessing cleaning preprocessing
Taps Maiti	Michigan State University	Bayesian, network, functional connectivity, precision, transition
Carlo Maj	University of Brescia	Gene Association Study, Bioinformatics, Systems Biology
Pradipta Maji	Indian Statistical Institute	Medical Imaging, Computational Biology and Bioinformatics
jafar majidpour	raparin	machine learning, feature extraction
laouchedi makhlouf	Central Military Hospital, Algeria and Algiers University	DTI, mode, ILF, SLF, CC
Satoshi Makino	Tohoku University	imputation, APOE
Stefan Makrievski	Michigan State University	amyloid, imaging, CSF, Tau, metabolism, biospecimin, longitudinal
Hernan Makse	City College of New York	Complex Network Theory; Network Hubs; Alzheimer
archana malagi	Anna University, Chennai, India	micro structural, alzheimer, language pathway
Katerina Malakhova	Pavlov Institute of Physiology	deep networks, visualizing
Irina Malashenkova	NATIONAL RESEARCH CENTRE "KURCHATOV INSTITUTE"	brain disease, cognitive disorder, biomarkers, Alzheimer’s disease, cytokines
Zach Malchano	Cognito Therapeutics, Inc.	amyloid imaging, region specific, biomarker enrichment, imaging agents
Somayeh Maleki-Balajoo	IPM	AD
tamoor malik	university of gujrat	fMRI dataset for Alzheimer diseases
Abhirup Mallik	University of Minnesota	statistics fmri learning
Tarja Malm	University of Eastern Finland	miRNA microglia phagocytosis
Ian Malone	University College London	BSI, boundary shift integral, volumetric measures, atrophy, ADNI3
Charles Malpas	The University of Melbourne	CSF, biomarkers, cortical thickness
Norberto Malpica	Universidad Rey Juan Carlos	super-rsolution, presprocessing, classification, biomarker
Meenakshi malviya	Christ University	down syndrome
A Mamandi	SSO	ADLIB
Abinash Manandhar	Tribhuvan University, Institute of Engineering	DEmentia, ANN, KNN
OSCAR MANCERA	NATIONAL UNIVERSITY OF COLOMBIA	mild cognitive impairment
pravat mandal	NBRC Manesar	Alzheimer, Biomarker, MRI
Alekhya Mandali	IISC	fMRI, AD
Emily Manning	University College London	brain volumes
Mohamed Manoufali	The University of Queensland	EM imaging, Sensors
Paul Manser	Genentech	clinical trials, prognostic factors
Dante Mantini	KU Leuven	functional connectivity
Ninad Mantri	ICON Medical Imaging	Brain volume analysis over repeated measures.
cyrus manuel	UCSF VAMC CIND	graph analysis, connectome, amyloid prediction
Nikolay Manyakov	Janssen R&D	biomarkers
DİLEK MANZAK	Sakarya University	Alzhemier, image process, SVM
Shuai Mao	Harbin institute of technology Shen zhen graduate school	AD MCI
tian maoyu	Beijing institute of university	Deep learning,
Jodi Maple Grødem	University of Stvanger	dementia, CSF, biomaker
Kenneth Maravilla	University of Washington	segmentation
Simonetti Marco	ASP CZ	tractography, segmentation, alzheimer, ftd, neurogenetics
Daniel Marcus	Radiologics	informatics classifier
John Margetis	USC	.
Richard Margolin	Janssen Alzheimer Immunotherapy	ADNI-1, PIB
Laura Mariano	C.S. Draper Laboratory	MRI processing, heterogeneous data fusion, machine learning
Razvan Valentin Marinescu	University College London	disease progresison Alzheimer's staging
Sebastian Markett	University of Bonn	connectome; centrality; network topology
Pawel Markiewicz	University College London	PET, amyloid, longitudinal analysis, power calculations
Michael Marnane	University of British Columbia Hospital	small vessel disease white matter hyperintensity Alzheimer Disease MRI
Asif Maroof	University of Texas San Antonio	CSF, plasma, blood serum, APOE, biomarkers
Laura Marple	Washington University in St. Louis	DIAN, ADNI, harmonization, WUSM, NIL
Cristiane Marques	PUCRS	neuroimaging, machine learning algorithms
Freddie Marquez	UC Irvine	Cortical thickness; predictive biomarker
Linda Marrakchi	Institut Superieur de Biotechnologies de Sidi Thabet	segmentation, alzheimer, subcortical structures
Gad Marshall	Brigham and Women's Hospital	PIB PET, FDG PET, APOE
Kaspar Märtens	University of Oxford	statistical methodology, multi-view learning
Gustav Mårtensson	Karolinska Institutet	"Graph theory" "Alzheimer's Diseases" "Structural brain networks"
Cristian Marti	Methinks	deeplearning alzheimer diagnosis MRI
Harold Martin	Florida International University	ICA, PCA, FMRI, alzheimer
Jose Salvador Martin Moreno	CINVESTAV	MRI Alzheimer DeepLearning
Olivier Martinaud	Rouen University Hospital	cardiac arrest, voxel-based morphometry
Victor Martinez	National University Of Colombia	Alzheimers disease, classification problem, probability model
Jesus Martinez	Queen's University Belfast	DNN, Computer vision
Yazmin Martinez	CSUF	neural networks
Oliver Martinez	UC Davis	Volumetric and stroke rating analysis
Lina Martinez	UMB	Image Processing
Neus Martinez Abadías	Center for Genomic Regulation	facial biomarker, geometric morphometrics, low-cost diagnosis tool, MRI
Edwin Martinez Hernandez	Juarez Autonomous University at Tabasco	Cognitive Assesment, alzheimer's disease progression
Antonio Martinez Torteya	ITESM Campus Monterrey	image based biomarkers, genetic algorithms, quantitative imaging
Jean-Baptiste Martini	UPMC	alzheimer pet fdg roi
Samuel Martins	University of Campinas	statistical object shape models, multi-atlas label fuzion
Viviane Masciotra	Institut gériatrique de Montréal	Alzheimer's Disease, cognitive decline, grey matter atrophy
Ahmed Masmoudi	Fseg	extraction, alzheimer
Aliaksandr Masny	Fraunhofer Institute for Algorithms and Scientific Computing SCAI	AD MRI analysis
Joe Mason	Sheffield University	Machine Learning Alzheimer diagnosis
Pir Masoom shah	COMSATS Institute of Information Technology Islamabad	Machline Learning
Pir Masoom shah	COMSATS Institute of Information Technology Islamabad	Machline Learning
babak masoudi	pnu university	Alzheimer image processing
Tyler Massaro	DCRI	ADNI, ADMC, postdoc, statistical analysis
Jun Masumoto	FUJIFILM Corporation	CAD
Cristy Matan	University of Pittsburgh	Pib, PET, AV45, SUV
Karen Mate	University of Newcastle	anticholinergic, polypharmacy, pharmacogenomics
Pedro Mateus	University of Minho	Biomedical, Alzheimer, Article, Study
Mara Mather	University of Southern California	depression, prefrontal
Karen Mather	University of New South Wales	Alzheimer’s disease, High white matter hyperintensity, neurodegenerative disease
Jesia Mathew	M S Ramaiah University of Applied Sciences	Alzheimer's EMCI, LMCI
Samuel Mathias	Yale University	obesity, BMI, cortical volume
Tamilalaghan Mathiyalagan	College of Engineering Guindy	MRI , CT , image analysis and Prediction
Will Matloff	University of Southern California	GWAS
Takashi Matsubara	Kobe University	deep learning
Keisuke Matsubara	Research Institute for Brain and Blood Vessels Akita	Partial volume correction; PET
Yukihisa Matsuda	Fukuyama University	dementia machine lerning
Dawn Matthews	ADM Diagnostics, LLC	FDG, amyloid, tau, volumetric MRI, fMRI, prediction, machine learning
Paul Mattis	Feinstein Institute of Medical Research	FDG-PET, Covariance Network, Dementia, Neuropsychological
Patrick May	Luxembourg Centre for Systems Biomedicine	Genomics, Genetics,
Anatoly Mayburd	AMI-GO-Science	Alzheimer's, prevention, risk, repurposing
Chantel Mayo	University of Victoria	DTI, mild cognitive impairment, Alzheimer's
Perla Jazmin Mayo Diaz de Leon	University of Bristol	HSS, Deep Learning, Machine Learning, Epilepsy
Elvira Mayordomo	Universidad de Zaragoza	patogenicity prediction, mtDNA, haplogroups
Gaylord Mbuyi	University of Alberta	brain, white matter, mri, ct, compression, segmentation
Colleen McCallum	Laureate Institutie for Brain Research	data base design
Bryony McCann	University of Bristol	Dementia, Aging, Hippocampus, Subfields, Morphology
Todd McCollough	Ellumen	Alzheimer's diease, prediction
Shannon McCormick	Radiologics	registration; Radiologics
Sean McCurdy	University of Toronto	machine learning, computational biology, diagnostics,
Carrie McDonald	University of California San Diego	structural MRI analysis; neuropsychological data
Archana McEligot	CSUF	Lifestyle, gender, ethnicity, gene-phenotype interactions
Linda McEvoy	University of California, San Diego	MRI, PET, morphometry, thickness, prediction
William McGeown	University of Hull	neuropsychology, structural MRI, predictors of decline, conversion, MCI
William McGeown	University of Strathclyde	Delusions; Psychosis; neuropsychiatric; VBM; neuropsychological assessment
Tim McGraw	Purdue University	Visualization, connectivity
Thomas McHugh	North Shore Country Day School	machine learning
Elissa McIntosh	University of Southern California	Blood glucose, diabetes, medication, biomarkers
Randy McIntosh	Baycrest	structural connectivity, functional connectivity, brain network dynamics
Nicole Mckay	University of Auckland	HARP
Cathryn McKenzie	The University of Western Australia	cognitive reserve, ageing
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
Corey McMillan	University of Pennsylvania	MRI, Prediction, Cross-Validation, MCI
Alan McMillan	University of Wisconsin	pet/mr attenuation correction mri mrac
Brent McPherson	Indiana University Bloomington	education
Kevin McRae-McKee	Imperial College London	Imaging, MRI, brain scans
Muhammad Hafiz Md Zaini	Universiti Teknologi Malaysia	Neuroimaging, Epilepsy, Multi-Atlas Based Segmentation
James Meabon	University of Washington	TBI, imaging, PCA, R
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
Robab Mehdizadeh	Islamic Azad University of Ahvaz,ahvaz / Neuroscience Research Center, Tabriz	Collinearity, SUR models
Anum Mehmood	College of Electrical and Mechanical Engineering, NUST	research
Alireza Mehrtash	Brigham and Women's Hospital	Machine learning; medical image analysis
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
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
Hans Melo	University of Toronto	Deep-Learning, Machine Learning, Dementia, Alzheimer's Disease.
Rebecca Melrose	VA Greater Los Angeles Healthcare System, West LA VA	cognitive aging
Corina Melzer	MPI	r-fmri
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
Xianglai Meng	Beihang University	Prediction, detection, deep learning
GUILIN MENG	Indianna Unverisity;Tongji University;	Alzheimer’s disease; Deep learning; Machine learning; Neuroimaging; Multilayer p
Fanjie Meng	Toshiba Medical Systems (China)	classification, normative
Dewen Meng	University of Nottingham	resting-state fMRI
David Mengel	Harvard Institute of Medicine	abeta, tau, autoantibodies
Medhani Menikdiwela	Australian National University	CNN
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
Viviana Messick	University of Southern California	data
Nicholas Metcalf	Washington University Medical School in St Louis	cortical thickness
Carsten Meyer	Philips Research Laboratories	image processing
Pierre-Francois Meyer	McGill University	inflammation csf plasma pathophysiology
Bas Meyer Viol	Philips	Image quality, quality metrics, MRI,
Adam Mezher	San Francisco Veteran's Hospital	ADNI
Liang Mi	Arizona State University	Registration
Hongyu Miao	University of Texas Health Science Center at Houston	statistical modeling, network analysis, machine learning
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
Diletta Milana	Technische Universität München	Deep Learning, Manifold Learning, Alzheimer
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
George Minadakis	The Cyprus Institute of Neurology & Genetics	biomedical engineering
hu minghui	Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences	segmentation;cnn
liu minglu	thu	computer vision
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
Dusan Misevic	INSERM	teaching
Chetan Mishra	University of Virginia	Deep Learning, artificial neural networks
Amit Mishra	IIT Delhi	Diagnosis
Ashutosh Mishra	Thapar University	Alzheimer, Parkinson, Demensia
shiwangi mishra	Indian Institute of Information Technology	diagnosis,image processing
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
Rebaone Mlalazi	Botswana International University of Science and Technology	Feature Selection, Genetic Algorithms, High dimensional data
Daojun Mo	Eli Lilly and Company	AD image progression
Nate Mockler	Biogen	Biogen
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
Arwa Mohammed Taqi	University of Arkansas at Little Rock	Alzheimer disease classification, deep learning ,Hu moment invariants algorithm
Hans Mohan	Dayalbagh Educational Institute	MRI scans, Machine learning
Kishore Kumar Mohan	Northeastern university	Convolutional neural networks
Hassan Mohy-ud-Din	Yale University	PET-MR
Dipanjan Moitra	University of North Bengal	PET, Brain Tumor, Segmentation
Mehdi Mojaradi	University of Tehran	Alzheimer,data analytics
alireza mojtabavi	, Research Center for Biomedical Technologies & Robotics	Neural Networks
Peter Molfese	National Institutes of Mental Health	Diffusion tensor, cross-scanner comparisons
Helena Molina	Maimonides Biomedical Research Intitute of Cordoba	nutrition, MCI
Jennifer Mollon	AbbVie Deutschland GmbH & Co. KG	Pharmaceutical, progression, biomarkers
Erika Molteni	University College London	Alzheimer's disease; prodromic; pre-symptomatic
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
Gemma Monté-Rubio	Fundació ACE	white matter hyperintensities.
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
Chooza Moon	University of Wisconsin - Madison	symptom, biomarkers, brain
Byung-seung Moon	Kangwon National University	Azlhemier's disease, depression
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
RENATO MORAES	UNICAP	Alzheimer, epilepsy, mental illness
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
Silvia Daniela Morbelli	IRCCS San Martino -IST, University of Genoa	MCI due to AD, Conversion to dementia, progression biomarkers
Jamie Moreland	General Electric	Hippocampus, AD, Machine learning, Data Science
herman moreno	SUNY - Downstate Medical Center	metabolomics
Ryuta Morihara	Okayama University	Alzheimer's disease
Hirotomo Moriwaki	Osaka University	machine learning, SPECT, PET
Elizabeth Mormino	Stanford	preclinical AD, amyloid, cognitive decline
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
Alexis Moscoso Rial	Instituto de Investigacións Sanitarias de Santiago de Compostela (IDIS)	Texture, ALzheimer, Hippocampus
Sofia Mosesova	Denali Therapeutics	variability, endpoints
Abdela Ahmed Mossa	Cukurova University	ADNI dataset request
Mahmoud Mostapha	UNC	Classification
Mahmoud Mostapha	University of North Carolina at Chapel Hill	Classification, MRI, CNN, Non-Euclidian Manifolds
setare mottaghi	andishe bartar	0
Aymen Mouelhi	ENSIT	Image segmentation
Arezou Moussavi	UTSA	classification, deep learning, autoenoders
Ahmed Moustafa	Western Sydney University	Big data; clustering algorithms; genetic algorthim; optimization; subgrouping
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
lamia muhammed	university of Al-Qadisiyah	machine learning technique , medical image analysis
Shubhabrata Mukherjee	University of Washington, Seattle	item response theory, structural equation modeling, growth models
Rik Mukherjee	Jadavpur University	Alzheimer's Disease, Image Processing, Pattern Recognition, Classification
Hans-Peter Müller	University of Ulm	DTI, fractional anisotropy, group study, disease specific pattern
Christian Müller	University of Erlangen-Nuremberg	CaMKII, single nucleotide polymorphisms, logical memory, hippocampus volume
Roger Mullins	NIA	Insulin Resistance, FDG-PET
Paul Mullins	Bangor University	ICA, DCM, Networks , Salience network, Central executive network, DMN
Mark Mulvahill	Swoop Search LLC, partner of University of Wisconsin Madison	Alzheimers, WRAP, Alzheimers prevention, Alzheimers development, analysis
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
Abdulmajid Murad	Chosun University	Deep learning, Computer-aided Diagnosis
Gabriela Muranevici	1937	concurrent medication, amyloid deposition, adverse events
Santiago Murillo Rendon	Universidad Autónoma de Manizales	Artificial Intelligence, Mild Cognitive Impairment, Computer Aided Diagnosis
Robson Murilo	UFRPE/UAST	brains,image
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
Michael Nagle	Pfizer	white matter hyperintensity microbleeding
Istvan Nagy	GE	research test data
Aviv Nahon	Ben-Gurion University of The Negev	TADPOLE
Gabriel Nahum	Brain Health Alliance	Brain Scans,
Shruti Naik	IIIT	Complex Networks, Resting State Connectivity
DEEPIKA NAIR M	Vidya Academy of Science and Technology	Image Processing, MRI, Segmentation, Alzheimer's
Neda Najmitabrizi	Texas A&M University	Alzheimer, statistical analysis
Kunio Nakamura	Cleveland Clinic	atrophy; morphometry; prediction
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
Hamidreza Namazi	Nanyang Technological University	Fractal analysis, applied mathematics
Krishnan Namboori	AMRITA Vishwa Vidyapeetham University	diagnostic tool for AD, Biomarkers, Machine learning, datamining
ANNIE NANCY	RAJALAKSHMI ENGG COLLEGE	menatal disabilities
Giulio Napolitano	Bonn University Hospital	Machine learning; gradient boosting-
Manjari Narayan	Rice University	functional connectivity; fmri; statistical inference
Atul Narkhede	CUMC	Machine Learning, Data Science, Neuro, MRI, psychology, alzheimers, ftd, parkins
Mahsa Naseri	University of Saskatchewan	Drug Discovery, fMRI, APOE , Dementia, Cognition
Ilya Nasrallah	Upenn	ROVER, FDG-PET, AD
fatima nasrallah	the University of Queensland	centrality, FDG, MCI, AD
Ilya Nasrallah	University of Pennsylvania	glucose metabolism, perfusion
Rana Nassif	AASTMT	classification
Farouk Nathoo	University of Victoria	space-varying regression, high-dimensional regression, regularization
Daniel Nation	University of Southern California	blood pressure; cerebral blood flow
Anmol Naugaria	Birla Institute Of Technology and Sciences	CNN ,Machine Learning
Brian Naughton	Boolean Biotech	regression, classification, prediction, data
Larry Nault	Matrix Integerated Linkage LLC	Hypocampus, Shrinkage, Aging Normal, AD Biomarker
Deeksha Nautiyal	IIIT Delhi	classification, machine learning
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
Malinee Neelamegam	College of Public Health, University of South Florida	Medication use, cognitive function
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
hosein nematzadeh	uiil	dti
Shubha Nerur	Self	machine learning
Thomas Nesteruk	Tomasz Nesteruk	MCI, AD, conversion
Scott Neu	UCLA	anatomical point landmark, automation, svd, seed points
Scott Neu	University of Southern California	APOE, hippocampus
Yen-Bee Ng	Karolinska Institutet	Alzheimer disease
Thanh Nguyen	The Catholic University of America	Alzheimer’s Disease Prediction
harrison nguyen	university of sydney	machine learning, trajectory prediction
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 Warwick	Statistical modelling; imaging genetics
Kristin Nicodemus	University of Oxford	genomewide, imaging, cognition
Yuheng Nie	Shenzhen University	EEG Alzheimer
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
Kaida Ning	university of southern california	imaging genetic Alzheimer's disease
Christopher Nishioka	UC Riverside	DTI, White matter
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
Nikita Nogovitsyn	University of Calgary	hippocampus
agneta nordberg	Karolinska Institutet	tau pet imaging
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
Akifumi Notsu	Oita university of nursing and health sciences	statistical analysis
Gerald Novak	Janssen R&D	Cogstate; neuropsychological tests, regional cortical volumes
Sari Novita	Writer	YWIY