ADNI | Active Investigations

Active Investigations

There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.

Investigator	Institution	Keywords
Nancy A	Bharathidasan University	Alzheimer, Classification, MCI
aasa aa	weser	executive function, exercise
nima aalizade	RS	Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Ardalan Aarabi	UPJV	fmri, dti
Mohammad Hadi Aarabi	Tehran University of Medical Sciences	Diffusion MRI
MOHAMED AATI	UCAM	CNN, Classification
John Aballi	Molecular Stethoscope	cfRNA
abd elazeim abd alla mohamed nour	south east university	MRI,AD,MCI
Bishri Abdel-Hamid	Faculty of Engineering	classifications,data resampling, big data, distributing processing
Mohamed Abdelaziz	Delta Academy	Ensemble learning , Spatial–temporal constraint
Ehab Abdelhamid	Imperial College	Clustering, big data
Carla Abdelnour	Fundació ACE. Barcelona Treatment and Research Center	Lewy body disease, biomarkers, cognitive profile
Bariqi Abdillah	UI	alzheimer computer vision
AmirHussein Abdolalizadeh	Student's Scientific Research Center	MRI, Imaging Genetics, Alzheimer's Disease, PTSD, Graph Theory, PET
Mahsa Abdollahi	Amirkabir University of Technology(Tehran polytechnic)	Classification, Brain Diseases, Alzeimer, SVM, KNN
sahar abdolmaleki	iran	Diagnosis, Alzheimer
Ahmed Abdul Karim	College of E&ME, NUST	Image Processing Analysis Appearance
Amritha Abdul Salam	IIT Kharagpur	ML
Yousry AbdulAzeem	Misr Higher Institute for Engineering and Technology	Alzheimer’s disease; CNN; Deep Learning;
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
Shafiq Abedin	IBM	TBI, Trauma detection
Abubakar Abid	Stanford	metric learning, trajectory, time-series
Noor Abidi	PAF KIET	Neural network
Mohamed Aboamer	Majmaah University	deep learning neural network
Ethan Abraham	Student	Machine Learning
Jill Abrigo	The Chinese University of Hong Kong	automated hippocampal volumetry, Alzheimer's disease
Anees Abrol	The Mind Research Network	Multimodal, AD, MCI, Progression
John Absher	University of South Carolina Greenville	TBI exosome AD morphometry
Gerhard Acero	Universidad Nacional de Colombia	Resonance magnetic, alzheimer disease, single nucleotidw polymorphism,
Maria Achary	Mumbai university	Nothing
Noriaki Adachi	MSD. K.K. (Japan Branch of Merck)	threshold
Christopher Adamson	Murdoch Childrens Research Institute	corpus callosum, cortical thickness, logitudinal
Stanislaw Adaszewski	Lausanne University Hospital	tSNE
Aditya Addepalli	Birla Institute of Technology and Science	CNN
Viraj Adduru	Rochester Institute of Technology	volume, segmentation, 3d modeling
Tameem Adel	University of Amsterdam	MRI Classification, Unsupervised Feature Learning.
Ehsan Adeli	Stanford University	Machine Learning, Computational Neuroscience, Medical Imaging
Karim ADERGHAL	LabSIV	deep learning
Karim ADERGHAL	LaBRI	Deep Lreaning
Benjamin Ades-Aron	New York University Langone Medical Center	NPH, Hydrocephalus
Michael Adeyosoye	Florida International University	tumor, healthy, mri, matlab, benign, malignant
Paul Adlard	The Florey Institute for Neuroscience and Mental Health	Zinc, cognition, ageing, Alzheimer's disease
Trivikram Adurthi	student	to study brain abnormalities
mahdie afrasiabi	islamic azad university,shahrood branch	pattern recogniotion, data mining , MRI, Alzheimer
Saeedeh Afshari	Simon Fraser University	PET image processing, activity analysis
Awais Aftab	Case Western Reserve University/University Hospitals Cleveland Medical Center	GDS, depression, amyloid
Iman Aganj	Massachusetts General Hospital / Harvard Medical School	Brain connectivity
Deepak Agarwak	Cornell University	TADPOLE
Mayank Agarwal	Lexical Informatics	Machine Learning, Artificial Intelligence, Classification, Clustering, Feedback
dhruv agarwal	University of Illinois Urbana Champaign	disease overlap, image,genetic,
Anupam Agarwal	jagannath Univesity, Jaipur	MRI images
Folasade Agboola	Washington University in St. Louis School of Medicine	Preclinical Biomarkers
Rishal Aggarwal	Birla Institute of Technology and Science, Pilani	Neural Networks Machine Learning
Kunal Aggarwal	Amity University	Machine Learning, AD, MCI
Akshay Aggarwal	Indian Institute of Technology, Indore	Research Project, Classification, Prediction
mary aghili	florida international university	denoising on adni
Praful Agrawal	University of Utah	image registration
Rimjhim Agrawal	Artificial learning system	machine learning,bio-marker,alzheimer's, diagnosis
Jamila Ahdidan	Aarhus University	AD, hippocampus, prediction
Fayyaz Ahmad	UOG	fmri, SPM, ANN
Hessam Ahmadi	Islamic Azad University	fmri, graph theory, alzheimer
mahdi ahmadi	sahand university	Alzheimer’s disease
mali ahmadi	sutech	dmn
Faisal Ahmed	University of Liberal arts Bangladesh	Project, Final Year, Alzheimer's,
Tahera Ahmed	Bond University	Alzheimer's, ADNI, Big Data, Machine Learning, Health Analytics
Juweiriya Ahmed	Western University	Psychosis, AD
Samsuddin Ahmed	BUBT	Deep learning, AD
Yong Yeol Ahn	Indiana University	network, multi-omics, data integration
Mihye Ahn	University of Nevada, Reno	classification
Qing Ai	University of Science and Technology Liaoning	machine learning; MRI; PET
Qing Ai	Northeastern University	AD; PET images; MRI images
Dennis Ai	Stanford University	MRI, Alzheimer, Convolutional Neural Networks
Yu Aihui	WUST	yuaihui137
Chrysanthi Ainali	UCB	machine learning, predictive models
Paul Aisen	University of Southern California	data sharing methods
eman aita	benha university	123
Sai Aitharaju	ETH Zurich	Dementia, CNN
Aditya Aiyer	Carnegie Mellon University	Classification, Course Project, Deep Learning
Hameed Ajala	National University	alzheimer
Zeynettin Akkus	Mayo Clinic	MRI
Alex Aklson	IBM Canada	Deep Learning, Classification, Alzheimer's Disease, Older Adults
Sanae Akodad	Katholiek Universiteit Leuven	Hippocampal segmentation
Leon Aksman	UCL	structural MRI, longitudinal analysis, imaging genetics
Said Aktas	F.Hoffmann-La Roche Ltd.	Biomarkers, Genetics
Theophilus Akudjedu	NUI Galway	Subcortical, segmentation techniques,FreeSurfer, volBrain
KEMAL AKYOL	Kastamonu University	random forest, logistic regression
Ahmad Al Khleifat	King's College London	Genetics analysis, SV, CNVs, Telomere
Hasan Al Marzouqi	Khalifa University of Science and Technology	deep learning, residual networks, constitutional networks, SNPs
Ebrahim Al Safadi	Oregon Health and Science University	image registration deep learning
Saad Al-Baddai	Regensburg University	Extracting features; Classification; Analyzing
Bassam Al-Fatly	Charite University Medicine	fMRI, DTI, connectivity, severity
Omar Al-Janabi	University of Kentucky	Brain atrophy, MTA, WMH, Age
Ali Al-Nuaimi	Plymouth University	brain disorder
Noor Al-Qazzaz	UKM	MRI, CT, Processing, Analysis
eman alaa	engineering	3SV50
Adnan Alahmadi	KAU	fMRI
Fadhl Alakwaa	Henry Ford Hospital System	Imaging genetic
John Alam	EIP Pharma	Episodic Memory, Longitudinal Change
Fakhre Alam	University of Malakand	Image Registration, Rigid and Non-rigid
RINAD ALANAKRIH	Hanyang University	neuroimaging, MRI, white matter hyperdensitites
MERVE ALANYALI	UNIVERSITY OF WARWICK/THE ALAN TURING INSTITUTE	deep learning, convolutional neural nets, data science
Daniel Albrecht	University of Southern California	Amyloid, tau, CSF, blood
Jack Albright	Nueva School	Machine Learning, Student, TADPOLE
Sarael Alcauter	Instituto de Neurobiología UNAM	sulcal width, Alzheimer,
Thomas Alderson	Ulster University	thalamo-cortical modelling DTI
Aishwarya Alex	University of Luxembourg	Alzheimer’s Disease Big Data DREAM Challenge #1
Kelner Alex	Colegiul National "Vasile Lucaciu"	Regression
Paul Alexander	SEUCE	Deep Learning
Daniel Alexander	UCL	Event-based model.
Panagiotis Alexopoulos	Department of Psychiatry and Psychotherapy	MCI, prognosis, dementia due to AD
Ali Alhamud	UT	aging, brain connectivity, volumetric morphological measurements
RAJMA ALI	nit sikkim	brain tumor
muhaddisa ali	Chalmers University	Preprocessing, FSL, Deep learning, classification
Sanam Ali	Sunnybrook Research Institute	rsfMRI; preprocessing optimization
Imdad Ali	IIUI	Classification
sana ali	uet	machine learning classification alzheimer
Affan Alim	PAF- Karachi Institute of Economics & Technology	Alzheimer
mohammad aliyari	Islamic Azad University	CNN
mohammad aliyari	Islamic Azad University	CNN
Mohamad AlJasem	Tehran Univeristy of Medical Sciences	Machine Learning, Artificial Intellgince, Deep Learning
ZAID ALKHALEDI	UNIVERSITY OF KENTUCKY	MDR; Model Selection; Continuous Phenotype; Ordered Combinatorial Partitioning
Shreshta Alladi	University of southern california	MRI, image detection, phantom, image type
Travis Allen	Cornell Tech	Machine Learning
Luz Maria Alliende	Pontificia Universidad Catolica de Chile	cognitive reserve, brain imaging
HANANE ALLIOUI	Cadi Ayyad University	alzheimer, brain , MRI, dicom
Ina Almdahl	Oslo University Hospital	Cerebrospinal fluid Amyloid Depression
Hannes Almgren	Ghent University	Effective connectivity, structural connectivity, cognition
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,
Aamna AlShehhi	Khalifa University of Science and Technology - MIT	Autoencoder, Multi-model deep learning , AD risk factors
Haifa Alshehri	Taif University	early diagnosis ,Alzheimer , Classification
tooba Altaf	UET Taxila	Alzheimer’s disease
Andre Altmann	University Collage London	Imaging Genetics, Next Generation Sequencing
Trevor Alvord	Columbia University	Tau Proteins, White Matter Hyperintensities, Alzheimer's
Mariam Aly	Columbia University	cognition, machine learning, pattern analysis, genetics
Yahyah Aman	University of Oslo	Alzheimer’s disease, mitophagy, biomarkers
ali amani	tabriz university	3750275025am
Robert Amaral	Douglas Mental Health University Institute	hippocampus, white matter, Alzheimer's disease
Mythri Ambatipudi	Saint Francis High School	Machine Learning
Dan Amendola	Sapienza Universiti of Rome	OLAP, Data Mining
Rula Amer	Tel Aviv university	deep learning, DTI, segmentation
Yusuf Ameri	University of Maryland	deep learning, research, undergraduate, cnn, image classification
remya amernath	ponjesly college of engineering	threshold,segmentation
Amin Amini	Amirkabir University of Technology	Disease Diagnosis, fMRI, Deep Learning
Echtioui Amira	enis	ya allah1
Nicola Amoroso	Università degli studi di Bari	Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
Hakima Amri	Georgetown University	AD, MCI
Sabrina Amrouche	CERN	Machine learning pattern discovery mining
Yu An	Capital Medical University	meta-analysis, CSF AD-type biomarkers, original data
Vikas Kumar Anand	Indian Institute of Technology Madras	Medical Image Analysis, Deep Learning, Radiogenomics, Radiomics
Namrata Anand	Stanford	machine learning, deep learning
Ben Anandapppa	Harvard University	Machine learning, data science, big data
Krylova Anastasia	VIGG RAS	1995yecz
Athanasios Anastasiou	Swansea University	Electronic Health Records, Data Modeling
Jani Anbarasi	Agni College of Technology	Alzheimer disease, Image Processing Scheme, Neural Network
Gholamreza Anbarjafari	University of Tartu	Alzheimer disease, statistical analysis, deep learning, super resolution
Loretta Anderson	Johns Hopkins School of Public Health	Alzheimer's Disease; Disease Progression; MCI; Biostatistics
Emma Anderson	University of Bristol	Education, intelligence, Alzheimer's disease, Dementia
Wes Anderson	Eli Lilly and Company	Alzheimer's pre-clnical research
Jeff Anderson	University of Utah	MRI, MCI
Vesna Andova	Faculty of electrical engineering and IT	Alzheimer’s Disease, similarity measurement, image retrieval, data mining
MARIA ANDRADE	FEDERAL UNIVERSITY OF PERNAMBUCO	machine learning, computer vision, image features, deep learning
João Paulo Andrade Devezas	Universidade da Beira Interior	Alzheimer, Machine Learning, Convolutional Neural Network, Python, Diagnosis
Irene Andreopoulou	Technological Educational Institute (T.E.I) of Western Greece	Medical image processing, PET, classification, SVM
Shea Andrews	Australian National University	Genetics, using ADNI data as a teaching example, Friday Harbor
Gerda Andringa	University College Roosevelt, Utrecht University	image analysis, independent component analysis, alzheimer's disease
cucun angkoso	Institut Teknologi Sepuluh Nopember	feature reduction, deep belief net, alzheimer
Liz Antoinette Anguren	Cebu Institute of Technology - University	MRI, Alzheimer, pstd, bipolar, adhd, autism, schizophrenia
Shahab Ansari	GIKI	automatic brain segmentation, Alzheimer's disease, machine learning
Thomas Anthony	University of Alabama at Birmingham	HPC machine learning
Isadora Antoniano Villalobos	Bocconi University	Youden_index Nonparametric_inference covariate_specific_diagnosis
Rubina Antony	Fisat	alzheimer detection
Augusto Antunes	Kunumi	Alzheimer's disease, Deep Learning
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
Dace Apsvalka	Medical Reseach Council	Hippocampus
Ghazal Arabidarrehdor	1994	Machine Learning, Alzheimer's, Dementia
wasana madushanka arachchi	General Sir John Kotelawala Defence University	VBM, DBM, Alzheimers, controls, aging
Walid Aransa	LIUM	Deep learning
Miguel Ángel Araque Caballero	Klinikum der Universität München	MRI, PET, DTI, APOE, amyloid-beta
Adriel Araújo	Pontifícia Universidade Católica do Rio Grande do Sul	Research.Alzheimer.Study
Mohammad Arbabyazd	INS	reconstruction, virtualisation
Mohammad ARBABYAZD	Institut de Neurosciences des Systèmes- INS	Alzheimer's disease
Miguel Arce	Columbia University Medical Center	Genetics, using ADNI data as a teaching example, Friday Harbor
Kellie Archer	The Ohio State University	ordinal response; discrete response; high-dimensional data; penalized methods
Damiano Archetti	IRCCS Centro San Giovanni di Dio-Fatebenefratelli	computational models
Babak Ardekani	Nathan Kline Institute	MRI; Corpus callosum; shape analysis;
Eider Arenaza-Urquijo	Mayo Clinic	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Eleni Aretouli	University of Deusto	intraindividual variability
Alejandra Arévalo Sáenz	Hospital Universitario de la Princesa	tractography parkinson
Konstantinos Arfanakis	Illinois Institute of Technology	diffusion, DTI, registration
Jocelyn Argueta	University of Southern California	BRCA1, women's risk, genetic analysis, SNPs, gene expression
eric argus	university	deep learning
Victor Arias	University Simon Bolivar	deep learning, alzheimer, iron maps
Franchesca Arias	University of Florida	cognitive reserve
Carlos Arias	FAR Institute	machine learning
Yassine Aribi	ENIS	images
Ivan Arisi	Fondazione EBRI "Rita Levi-Montalcini"	Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
Magnolia Ariza-Nieto	epIAWELL LLC	epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Muhammad Ashfakur Rahman Arju	Daffodil International University	classification, agent, svm, tensorflow,
Steven Armentrout	Parabon Computation	MDR, epistatis, cloud computing
Nicole Armstrong	National Institute on Aging	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Steven Arnold	Massachusetts General Hospital	insulin, cholesterol, hypertension, hippocampal atrophy, amyloid, tau, leptin
Matthias Arnold	Helmholtz Zentrum München	gaussian models, data integration, network analysis
Aiden Arnold	Kaggle	deep learning, machine learning, predictive modeling
Rahul Arora	Samsung Research India	Deep Learning, CNN, MRI
Rahul Arora	Samsung Research India	Deep Learning, CNN, MRI
Thalida Arpawong	University of Southern California	Genetics, using ADNI data as a teaching example, Friday Harbor
Salim Arslan	Imperial College London	machine learning, dementia, Alzheimer’s disease
Emilio Artacho-Perula	University of Castilla-La Mancha	Alzheimer, Euclidean distances, MRI
Christoph Arthofer	University of Nottingham	MR brain segmentation
Eivind Arvesen	N/A	machine learning, deep learning, ai, neural networks
Zobair Arya	University of Oxford	Diagnosis, machine learning, temporal modelling, multi-modal analysis
Nibal Arzouni	USC	AD, Imaging genetics,
farnaz asadifard	shahid beheshti university	AD fmri images
Maame Gyamfua Asante-Mensah	Skoltech	Neural Networks, Classification
Wes Ashford	Stanford	leptin, Alzheimer, blood, dementia
Azhaar Ashraf	Imperial College London	Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
saima ashraf	karachi university	progression
Kathleen Askland	Butler Hospital/School of Medicine, Brown University	analytic methods, machine learning, genetics
Per Aslaksen	University of Tromsø	Alzheimer, freesurfer, tDCS
Eric Aslakson	Poiema, LLC	adni transmart
Toshihiko Aso	Kyoto University Graduate School of Medicine	BOLD signal, cerebral blood flow, venous drainage
Akalya Asokan	National Brain Research Center	corpus callosum, thickness
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
Hadia Atta	University	segmentation
Arnaud ATTYE	Grenoble University Hospital	Diffusion Weighted Imaging; Optic pathways; Machine Learning; Manifold Learning
April Au	University of Toronto	estrogen, sex differences
Tibor Auer	Royal Holloway University of London	automatic analysis; dynamic connectivity; fmri; big-data
Supatana Auethavekiat	Chulalongkorn University	Diagnosis, deep learning
brian avants	Biogen	brain, thickness, ANTs, conversion, amyloid
MUSTAFA TALHA AVCU	Bilkent Universtiy	Statistical Learning, Data, CNN, DDL
Andrea Avena-Koenigsberger	Indiana University	diffusion models, network dynamics
Allan Avila	University of California, Santa Barbara	Koopman Operator, nonlinear dynamics, dynamical systems
Justina Avila	Columbia University Medical Center	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Daniel Felipe Avilán Caldas	Universidad Nacional de Colombia	DTI
Tzvi Aviv	AvivInnovation	caspase-6, app, tau,
Niharika Awasthi	Ashok and Rita Patel Institute of Integrated Study and Research in Biotechnology	Clinical assessment data, demographic data
suyash awate	IIT Bombay	segmentation evaluation
Aymen Ayaz	National University of Science & Technology, Islamabad Pakistan	classifier, automatic, MRI, early, diagonosis, Alzheimer
Yesim AYDIN SON	Middle East technical University	Data mining, Hybrid Methods, SVM-ID3
Alp Aygar	New York University	autoencoder, deep learning, transfer learning, MTBI
Scott Ayton	University of Melbourne	CSF amyloid b, tau, heart rate, blood pressure
Deepak Nag Ayyala	Medical College of Georgia, Augusta University	time series; resting state; high dimensional inference;
Tiago Azevedo	University of Cambridge	fmri mri clinical
Nasir Aziz	Leiden University Medical Center	body weight
ADEL AZIZ	RIVERSIDE REGIONAL MEDICAL CENTER/ EDWARD VIA COLLEGEOF OSTEOPATHIC MEDICINE	sex incidence, atypical Alzheimer Dementia
Elham Azizi	Pereleman School of Medicine, University of Pennsylvania	ASL, Signal processing
Mohd Hafrizal Azmi	Universiti Putra Malaysia	PET/CT, AD classification
Pushpa B R	Amrita Vishwa Vidyapeetham	segmentation, classification
Maowen Ba	Yantai Yuhuangding Hospital	rpAD;Prevalence;Biomarker
Dulguun Baasandavaa	Harvard University	Alzheimer, EDA, Cognitive impairment prediction
Rosha Babapour Mofrad	VU medical center	NFL
Farzaneh Babashahi	ESFAHAN UNIVERSITY OF TECHNOLOGY	MRI
Libin Babu	CUSAT	Alzhimers, tensorflow
alexandra badea	Duke CIVM	mri, imaging, analysis
JongTak Baek	korea university	deep learning
Steven Baete	NYU School of Medicine	Orientation Distribution Function analysis, Diffusion MRI
Shweta Bagewadi	Fraunhofer Institue SCAI	CO-expression analysis
Asma Baghdadi	Enis	IRM, segmentation, image processing, Alzheimer diagnosis
nooshin bagheri	azad university	deep learning
fatemeh bahadoran	babol noshirvani university of technology	alzheimer neural network
fatemeh bahadoran	babol noshirvani university of technology	alzheimer fuzzy
Yuchen Bai	Janssen Research and Development	Methylation, Biomarker, Disease Progression
Ruxing Bai	GeneScience Pharmaceuticals	early diagnosis;artifical intelligence
Geoffrey Baird	University of Washington, Seattle	Biomarkers
Paul Baird	Centre for Eye Research Australia, University of Melbourne	AMD, genome wide, interaction
John Baker	Janssen R&D	Diagonsis, Progression, Biomarkers
Arnold Bakker	Johns Hopkins University	Entorhinal Cortex
Ibtissam Bakkouri	FSA Ibn Zohr	CAD, AD, Machine Learning
Giorgos Bakoyannis	Indiana University	Statistical methods, interval censoring, missing data, misclassification
himanshu bal	dhole patil college of engineering	deep learning, brain networks
Helena Balabin	Fraunhofer SCAI	Deep Learning, Classification of Alzheimer's patients, Feature Selection
Erika Ball	Duke University	"Quantile Regression" "Statistical Modeling" "Hippocampal Atrophy"
chao ban	University College London	diagnosis machine learning
Amin Banaei	AJA university of medical sciences	Alzheimer disease, early detection
Sandhya Banda	MVSREC	texture, segmentation, multimodal
Oishila Bandyopadhyay	Indian Institute of Information Technology Kalyani	curvature, concavity index, chain code, mid-line, MRI, alzheimer
Dipankar Bandyopadhyay	Virginia Commonwealth University	DTI, tensor regression, spatial methods
Samprit Banerjee	Weill Medical College, Cornell University	predictive modeling, machine learning
ARIT BANERJEE	Columbia University Medical Center	Amyloid PET, MRI, Neuropsychological testing, Alzheimer's disease, longitudinal
ANWESHA BANERJEE	IIEST	CONNECTIVITY, EARLY DETECTION, BIOMARKER
sunjoo bang	Ajou Univ	key gene identification, genetic data, data mining
Seojin Bang	Carnegie Mellon University	diagnosis
SungKyu Bang	Hanyang University	Medical Imaging
Katherine Bangen	University of California, San Diego	vascular risk, cerebral blood flow, amyloid
Asish Banik	Michigan State University	Bayesian Computation
Sarah Banks	Cleveland Clinic	CSF neuropsychology
Leonie Banning	Maastricht University	Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Deepika Bansal	NCU, Gurgaon	Dementia samples
beatrice bao	cheeroffice education limited company	data
Sabeeha Baqui	Al-Arqam College Preparatory	Alzheimer's, MOCA, MMSE, MRI, application, Lumbar Puncture
Rita Barakat	University of Southern California	Stroke, TBI, brain injury, neurodegeneration, therapy
nourhan barakat	tanta university	ALZHEIMER
negin barani	babol noshirvani university of technology	alzheimer fuzzy
Jed Barash	Soldiers' Home	Hippocampus, opioids, Alzheimer's
Eduardo Barbará	Universidad Autónoma Metropolitana (UAM)	image processing data analize
Beatrice Barbazzeni	Max Planck Institute for Biological Cybernetics	fMRI
Philip Barber	University of Calgary	stroke; TIA; brain atrophy; dementia
Robert Barber	University of North Texas Health Science Center	Alzheimer's disease genetics
Jordan Barbone	West Chester University	Independent, personal use
Adriano Barbosa da Silva	University of Luxembourg	AETIONOMY
Flavia Roberta Barbosa de Araujo	Federal University of Pernambuco	Machine Learning, Alzheimer, GWAS, Tools, SNPs
Chris Barbu	Psychology	Study materials for class.
Giuseppe Barisano	USC Stevens Neuroimaging and Informatics Institute	Quality Control, MRI
Chandler Barnes	Vanderbilt University	machine learning, undergraduate
Josephine Barnes	UCL Institute of Neurology	hippocampus, whole brain
Olivier Barret	IND	PVC, centiloid
Matthew Barrett	University of Virginia School of Medicine	Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
HECTOR BARRIOS	CFE	123
vera barstad	University of Agder	Deep Learning, 3DCNN,pointcloud
Fabian Bartel	VU University Medical Center	hippocampus segmentation, harmonized hippocampus segmentation protocol
Jakub Bartoszewicz	Adam Mickiewicz University	vGWAS, SNP, genome, brain structure, neuroinformatics, genomics
Caroline Barwood	University of Nottingham	Alzheimer's
Suryakanth Basavaraj	BMSITM	MRI,PET
Shaik Basheera	Research Scholar, Department Of Electronics and Communication Engineering, A.N.	Brain Disorders
Sumana Basu	McGill University	MRI
Anirban Basu	University of Washington, Seattle	dementia progression, prediction, distributional statistics
Arindam Basu	University of Canterbury	Alzheimer's Disease, TBI, Polygenic risk scores
Eloi Batalla	Fundació Collserola	magnetic resonances, alzheimer's disease
Veeky Baths	Birla Institute of Technology & Sciences, K. K. Birla Goa Campus	Cognitive diseases, Computational Neurosciences
Deepti Bathula	Indian Institute of Technology Ropar	Longitudinal Analysis Algorithms
Christopher Bauer	University of Kentucky	MRI, DTI, cognitive reserve, Tau, A-Beta, memory
Roman Bauer	Newcastle University	computational neuroscience
Christian Baumgartner	ETH Zurich	medical image analysis, machine learning
Vanshika Bawa	Delhi Technological University	Alzhiemer's disease diagnosis, PET scan analysis
masood bayat	kntu	parametr
Amirhossein Bayat	Technical University of Munich	segmentation, registration
Armin Bayati	University of Victoria	Cognitive disorder, microscopic, macroscopic, diagnostic, vasculature
Peter Bayley	VA Palo Alto Health Care System,	CYP191A, hippocampus, apoe4, neuropsychology
Roza Bayrak	METU	CNN, MRI, machine learning
Ece Bayram	Cleveland Clinic	amyloid, tau, dementia
Ali Bayram	Istanbul University	Field map
Derek Beaton	Baycrest	partial least squares, multivariate, genetics
Christian Beaulieu	University of Alberta	DTI, ExploreDTI, tract-specific analysis, registration, MATLAB
Helen Beaumont	University of Manchester	diffusion DOC atlas
Rodrigo Bechelli	Centro universitário da FEI	machine learning, wavelet
Josh Becker	UT Southwestern Medical Center	dementia, alcohol use disorder, substance use disorder
Laurel Beckett	UC Davis	Biostatistics
Joanne Beer	University of Pittsburgh	prediction, statistics
Simone Beer	Forschungszentrum Juelich	quantitative PET
Andrew Beers	Massachusetts General Hospital	deep learning pet mri
Mirza Faisal Beg	Simon Fraser University	MR, LDDMM, segmentation, registration, statistical shape analysis
Zahra Beheshti	University of Toronto	Khordade7!
Iman Beheshti	CERVO Research Center, Mental Health University Institute of Quebec	estimation, brain age, MRI
Qumars Behfar	Cologne University hospital	Connectome
Hamid Behjat	Lund University	shape analysis, topological similarity, classification, early diagnosis
Lynn Bekris	Cleveland Clinic Lerner Research Institute	apoe, tomm40
Belal belal	UESTC	EEG signal
Mahanand Belathur Suresh	Sri Jayachamarajendra College of Engineering	AD,MCI
Nadia Belichenko	Stanford	AD
Maura Bellio	University College London	graphic user interface; MRI; disease progression models; neurodegenerative
Muktar Bello	University of Ilorin	DMRI,tracktohraphy,DTi
Mikhail Belyaev	Skolkovo Institute of Science and Technology	disease progression, machine learning, data fusion
Shane Bemiller	IUPUI	Inflammation, Alzheimer's Disease, Aging, TBI
Michael Benedikt	Oxford University	data integration
Andreana Benitez	Medical University of South Carolina	MoCA, Item Response Theory
Colleen Benjamin	Syneos Health	CCLS, ADNI, LABDATA
Jose María Benlloch	Spanish Reseach Council	beta-amyloid plaques, brain PET detector, Alzheimer, classification algorithms
Marianne Benn	Copenhagen University Hospital	LDL cholesterol
Miled basma bentaiba	ESI	medical diagnosis, case based reasoning, randomisation
Mariana Bento	university of calgary	machine learning, image features, dementia
Sabrine Benzarti Somai	High Institut of Management of Tunis	Alzheimer, deep learning
Tammie Benzinger	Washington University	MRI
Paola Berchialla	University of Torino	Biostatistics, Machine Learning
Victoria Berenguer	Instituto tecnologico de Buenos aires	MRI
Maurizio Bergamino	Laureate Psychiatric Clinic & Hospital	DTI; GQI; structural connectivity; prediction model
Gintvilė Bergerytė	Vilnius University	Alzheimer machine learning classification
Marco Berlot	Cornell University	AD
Shai Berman	the Hebrew University of Jersalem	MS lesions template
Cam Bermudez	Vanderbilt University	MRI, cardiovasculr disease, clinical phenotypes
Jose Alfonso Bernal Moyano	Universitat de Girona	longitudinal changes, atrophy, convolutional neural networks
Rodrigo Beron	Fing	Predecir Patologias
David Berron	Lund University	MTL subregions, volumetry, MRI
Laiss Bertola	Universidade Federal de Minas Gerais	Genetics, using ADNI data as a teaching example, Friday Harbor
Lars Bertram	University of Luebeck	GWAS, EMIF, QTL, PGS
Alaa Bessadok	High institute of management - Gabes - Tunisie	Big data, healthcare, classification, prediction, alzheimer disease
Pierre Besson	Northwestern University	Machine learning
John Best	University of British Columbia	forecasting, TADPOLE, regression-based prediction
Brianne Bettcher	University of Colorado Anschutz Medical Campus	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Tobey Betthauser	University of Wisconsin-Madison	PET, neuroimaging, processing
Peyman Beyranvand	Istanbul Technical University	reconstruction, deep learning, PET, SPECT
Mauritz Bezuidenhoudt	Novartis	Composite endpoint
Pritha Bhabra	Ramdeobaba College of Engineering and Management	Alzheimer’s, detection, MRI scans, image processing
Nikhil Bhagwat	university of toronto	MRI, AD, Machine-learning
Abhishta Bhandari	Royal Brisbane and Women's Hospital	FDG PET, MRI, cerebrum, corticobasal syndrome
Jaspreet Bhangu	Boston University	Bioimaging
Rohan Bharadwaj	University of Maryland	Deep Learning, Image Processing, Convolutional Neural Nets
kusum bharti	PDPM-IIITDMJ	machine learning, feature selection, biomarker
Harsh Bhasin	Jawahar Lal Nehru University	MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
Pushkar Bhatkoti	Charles Stuart University	ADANI dataset KSA
Priya Bhatt	Oregon Health and Science University	gwas, alzheimer's disease, statistics
Rhea Bhatta	University of Pennsylvania	gene-environment education interaction
Sudeepa Bhattacharyya	University of Arkansas for Medical Sciences	Metabolomics, Bioinformatics, Omics, Statistics
gaurav bhatti	wayne state university	Longitudinal data analysis, Artificial Neural Networks
Khushboo Bhatua	Shri Ramdeobaba College of Engineering	Alzheimer disease
Alauddin Bhuiyan	NYU School of Medicine	Machine learning, MRI, Socio-demographic parameters, Alzheimer's
Chandra Bhushan	CBK infotech India Private Limited	data clustering
Suhas A Bhyratae	Atria Institute of Technology	AD, cMCI, ncMCI
Hanwen Bi	Northeastern University	fMRI, Brain Network
Qiuhui Bi	Beijing Normal University	WM network PET
Xin Bi	Northeastern University	brain network, machine learning
SHIJIA BIAN	DUKE UNIVERSITY	TADPOLE CHALLENGE: https://tadpole.grand-challenge.org/data/
xuesheng bian	xiamen university	medical image analysis
Rene Bidart	Waterloo	CNN
jumahuli biekan	University of Saskatchewan	sMRI, DTI, AD disease, MCL, Graph theory, Brain network
bahare bigham	Mashhad University of Medical Sciences (MUMS)	alzheimer's disease
Murat Bilgel	National Institute on Aging	FDG, amyloid, DTI, MRI, atrophy, longitudinal
Thibo Billiet	KU Leuven	default mode network
Jacob Billings	A Public Sphere	Alzheimer's Challenge
Jake Billings	University of Colorado Denver	TensorFlow, machine learning, cnn, cvolutional neural networks
yang bin	guilin electric technology university	MRI image
Malavika Bindhi	Stanford University	Classification of Alzheimer’s Disease using Patients’ MRI and Related Features
zhang bing	daln martime university	predict the individual brain function connectivity
Huang Bingsheng	Shenzhen University	MRI AD Auxiliary diagnosis Classification
Yuan binke	Beijing Normal university	machine-learning, gray matter atrophy, functional connectome
Christopher Bird	Cleveland Clinic	freesurfer, machine learning
Colin Birkenbihl	Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI	AETIONOMY, statistical comparism, modeling, validation
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
Dipayan Biswas	Khulna University of Engineering & Technology	Alzheimer disease, early detection, features
David Bjelke	The Feinstein Institute for Medical Research	CMRglu, ROI
Sandra Black	Sunnybrook Research Institute	MRI Volumetry, Alzheimer disease progression
Jennifer Blackwood	University of Michigan-Flint	MCI, neurological exam, vital signs
Elise Blaese	IBM Research	NIA GCAD Watson
Brian Blair	University of Florida	MATLAB,PET Scan
James Blair	University of Virginia	Cognitive Impairment, Structure, T1
Paul Blanc-Durand	APHP - Pitié Salpétriere	Deep Learning, CNN, regression
Gilles Blanchard	University of Potsdam	Data analysis, Statistics, Machine learning, patient adaptive prediction
Daniel Blezek	Isomics, Inc.	radiomics, machine learning
Yannick Bliesener	University of Southern California	MRI, image denoising, machine learning, unsupervised learning
Kevin Blighe	UCB	whole genome; longitudinal data; feature extraction; patient stratification
Toby Bloom	New York Genome Center	Alzheimers Disease, centenarians, Ashkenazi
Emma Bluemke	University of Oxford	healthy ageing, neural networks
Jenna Blujus	UWM	Alzheimer's disease
Dominik Blum	University Hospital Tuebingen	Parkinson, Cognition, FDG, denoising
Jan Krzysztof Blusztajn	Boston University School of Medicine	CSF, plasma, biomarkers
jin bo	huawei	deep learning
Yao Bo	Shandong University	Alzheimer's disease language performance
zheng bo	HDU	Search
koum bochra	university	classification, Markov
Susan Boehnke	Queen's University	CSF biomarkers, lumbar puncture
Ronald Boellaard	University Medical Center Groningen	Image methodology, quantification, processing, classification
Hrvoje Bogunovic	Medical University of Vienna	TADPOLE
Arun Bokde	Trinity College Dublin	MRI, grey matter, volumetric, hippocampus
Sideny Bolden	Bethune Cookman University	AD, MRI, SVM, Machine learning, diagnosis, neuroimaging biomarkers,
Ehsan Bolhasani	Institute for research in fundamental sciences	Multimodal fusion
Borna Bonakdarpour	Northwestern University	Resting state fMRI, language network
Ana Bondioli	University Center Eniac	IA, Diagnosis
Luke Bonham	Johns Hopkins University	normal pressure hydrocephalus, Alzheimer's disease, mild cognitive impairment
Gregory Book	Hartford Hospital	weather, brain volume, freesurfer
Brian Booth	University of Antwerp	MRI atlases, image registration, metric learning
Alireza Borghei	Tehran University of Medical Sciences	tadpole
Jennifer Borkowsky	Genentech	biomarkers
Davide Borra	University of Bologna	Deep learning, CNN
Anders Borum	Aarhus University	Machine Learning, Computer Science, Thesis
Sepehr Borumand Sani	Tehran University Of Medical Science	Osteoarthritis Alzheimer's Disease assosiation
Isabelle Bos	Maastricht University	Amyloid based cognitive norms
Paolo Bosco	INFN	Alzheimer's Disease, network analyses
Chinmoy Bose	TwoPiRadian Infotech LLC	Alzheimer, deep learning, classification, pre-processing
budhaditya bose	INDIANA UNIVERSITY	PARKINSON'S DISEASE,CLUSTERING
Zoran Bosnić	University of Ljubljana	Alzheimer; data mining; computer science; decision support
Nicholas Bott	University of California San Francisco	cognitive aging; structural imaging; inflammation
FRANCESCA BOTTINO	pediatric hostital OPBG	parcellation
Agustina Bouchet	Universidad Nacional de Mar del Plata, Argentina	Biomedical Images, Segmentation, Digital Image Processing
amani boughanmi	Higher Institute of Applied Sciences and Technology of Sousse	AMANIISSATSO2017
haralabos bougias	university hospital	dti
Pierrick Bourgeat	CSIRO ICT Centre	Segmentation, registration, longitudinal study
Jenna Bourgeois	Washington University	Biomarkers, alzheimers, neuroscience
Jessica Bourgin	Université Savoie Mont Blanc	Amygdala; Attentional network
Jessica Bourgin	Université Savoie Mont Blanc	emotion; attention; amygdala
li bowen	tianjin polytechic university	machine learning,neural network
Chris Bowles	Imperial College London	generative adverserial network, latent encoding
Christina Boyle	USC/IGC	Alzheimers, Aging, MRI
Andrea Bozoki	Michigan State University	FDG-PET; PIB-PET; Alzheimer's disease
Steven Bradburn	Manchester Metropolitan University	Inflammation, VBM, Cognitive decline, NSAID
Jelena Bradic	UCSD	lasso, testing, confidence intervals, p-values
Jonathan Bradley	Florida State University	Spatial statistics
Tyler Bradshaw	University of Wisconsin	attenuation correction
Joana Braga Pereira	Karolinska Institute	CSF, MRI
Adebayo Braimah	USC Mark & Mary Stevens Hall of Neuroimaging	Neuroimaging, genetics, Alzheimer's Disease,
Lodewijk Brand	Colorado School of Mines	haploview, plink
Jose Bras	UCL, Institute of Neurology	Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie	USC	inflammation
Filippo Bravi	nothing	machine learning with big data
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
Danielle Briggs	Brigham and Women's Hospital	ADNI 3, LONI, coordinator
nabila BRIHMAT	Inserm	resting-state, networks,
Leonardo Brizi	University of Bologna - Alma Mater Studiorum	Features Extraction; Artificial Neural Network
Cornelius AJ Broere	AIAS	Meylin Architecture, sMRI, Neurocognition, Neurology
Esther Bron	Erasmus MC	Classification
Frederic Brosseron	German Center for Neurodegenerative Diseases (DZNE) e.V.	AETIONOMY
Jonathan Brouillette	Hopital du Sacre-Coeur de Montreal	Retinoic acid, Alzheimer's disease, Single-nucleotide polymorphisms
Rachel Brouwer	UMC Utrecht	longitudinal brain change, GWAS
Robert Brown	McGill University	Brain extraction; Deep learning
Matthew Brown	University of Alberta	machine learning, diagnosis, prognosis, biomarkers
Bobby Bruce	University College London	TADPOLE
Iva Brunec	University of Toronto	Hippocampus, Memory decline, fMRI
Douglas Bryant	University of Oklahoma Visual Neuroscience Lab	Harmonized Hippocampal Volume Protocol
Arne Brys	icometrix	EUROPOND EBM
Seok-Jun Bu	Yonsei University	machine learning, deep learning
Tao Bu	The First Affiliated Hospital of Xinjiang Medical University	serum folate concentration; mortality; alzheimer's disease
Giovanna Bubbico	ITAB, Institute for Advanced Biomedical Technologies	DTI bilingualism normal aging
OMONIGHO BUBU	UNIVERSITY OF SOUTH FLORIDA	sleep deprivation, Alzheimer's Disease, beta-amyloid
Hans-Georg Buchholz	University Medical Center	NEUROSTAT, SPM12
MAGDA BUCHOLC	University of Ulster	dementia; Alzheimer’s disease; cognitive impairment; clinical decision support
Bradley Buchsbaum	Baycrest Centre for Geriatric Care	fMRI PET correlation
Katharina Buck	Roche Diagnostics	Elecsys CSF Measurements
Rachel Buckley	Massachusetts General Hospital/Harvard Medical School	subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Gabriel Bucur	Radboud University Nijmegen	causal inference, Mendelian randomization, Robust estimation, Bayesian inference
Charley Budgeon	University Of Western Australia	Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Ana Bueno	Universidade Federal do ABC	machine learning, convolutional neural networks
Derek Buhl	Pfizer	Alzheimer's
Sarah Buila	Southern Illinois University	Clinical Assessment
faiza Bukenya	University of Nottingham	Segmentation,blood vessel,medical images
Saurabh Bundela	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
Victor Burnett	Terasaki Research Institute	CNN, convolutional neural networks, image recognition, alzheimer's, pathology.
Tomasz Burzykowski	Center for Statistics	biomarker, Alzheimer's disease, biostatistcs
William Bush	Case Western Reserve University	Loss of Y, Copy Number
John Bush	NEU	Alzheimer
Stephanie Buss	Beth Israel Deaconess Medical Center	cognitive reserve, exercise, education, music, social
P. Monroe Butler	University of California San Francisco	Hippocampus, history of opiate exposure, ApoE
Markus Butz-Ostendorf	Biomax Informatics	Big Data, semantic data integration, multimodal brain imaging, AD
Gonca Buyrukoglu	Northumbria University	joint model, multivariate longitudinal
Paul Byrnes	University of Liverpool	machine learning, pattern recognition, Bayesian framework
Adith C	Amrita	ADBI
Rodrigo Cabello	Univerisity	Deep Learning
Cristóbal Cabrera	Universidad Rey Juan Carlos de Madrid	grapht algorithm
Yuliana Cabrera	University of Southern California	ADNI
María Nieves Cabrera	Hospital Clínico San Carlos	Posterior cortical atrophy, Alzheimer desease, FDG, amyloid PET
Ylermi Cabrera-León	Universidad de Las Palmas de Gran Canaria	Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
ANGEL CADENA	UDEM	Alzheimer, MSI, ethnicity
adiel cahana	bar ilan university	deep learning
xiong cai	Beijing University of Technology	functional varying-coefficient model, local kernel smoothing method
erik cai	wenzhou university	multimodal neuroimaging
Siqi Cai	Shenzhen Institutes of Advanced Technology	fMRI, functional network, topological property
Nigel Cairns	Washington University	neuropathology
Matthew Calamia	Louisiana State University	mild cognitive impairment, neuropsychiatric symptoms, dementia
Maria Eugenia Caligiuri	Università "Magna Graecia" di Catanzaro	neuroimaging, digital image processing
Christopher Calixte	Duke University	Alzheimer's early detection cognitive impairment
Brandy Callahan	University of Calgary	diagnosis, neuropsychology, dementia, mci, norms
Frederic Calon	Universite Laval	Alzheimer
Javier Camacho	EIA University	jav42cam70
Oliver G Campos Trujillo	Universidad autonoma metropolitana	classification, identification, Alzhaimer
Anna Canal Garcia	Kungliga Tekniska Högskolan	MRI, biomarkers, alzheimer
Megan Cannon	Templeton High School	APOE, Alzheimers
Guanqun Cao	Auburn University	functional data, ADNI
Paul Cao	HPE	Deep Learning
Sha Cao	Indiana University	Bioinformatics
Yan Cao	University of Texas at Dallas	image analysis
Jiguo Cao	Simon Fraser University	brain network, QTL mapping
Lei Cao	USC	NIIN 570
Bo Cao	University of Texas Health Science Center at Houston	Machine learning
Peng Cao	Northeastern University	Machine learning
HONGLIU CAO	INSA ROUEN	Random Forest, dissimilarity, heterogeneity
Sha Cao	Indiana University	Bioinformatics
DANIEL CAPON	BLOOD SYSTEMS RESEARCH INSTITUTE	protein engineering, antibodies, amyloid beta, biomarker
John Caporelli	Cleveland Clinic Lou Ruvo Center For Brain Health	MRI upload
Pablo Cappagli	Instituto Balseiro	registration algorithms
Arvind Caprihan	Mind Research Network	WMH, Diffusion, Connectivity, Cortical damage
Angelika Caputo	Novartis Pharma AG	Cognitve composite
Michael Carbenia	Zspace	education
Jeremy Carmasin	Massachusetts General Hospital	PIB FDG AD MCI
Owen Carmichael	UC Davis	cortical thickness
Caio Carneloz	UNESP	Alzheimer, Machine Learning, Feature Extraction
Miguel Adolfo Caro Parrado	Universidad Nacional de Colombia	brain aging patterns
Sarah Carr	Case Western Reserve University	amyloid, POSET
Jason Carrier	carrier diagnostics	AI learning
Carmen Carrion	Yale Medicine	Cognitive Reserve, Racial/Ethnic Diversity in Cognitive Aging
Lucia Carrion Gordon	UTS University of Technology Sydney	Data, Heritage, Management
Greg Carter	The Jackson Laboratory	epistasis, pleiotropy, genetic association
Janessa Carvalho	Brown University	Friday Harbor
Tiago Carvalho	Federal Institute of São Paulo	Machine Learning, Deep Learning, Information Fusion
Francesco Paolo Casale	Microsoft	GWAS, images, statistical testing, multi-trait
Kaitlin Casaletto	UCSF	neurogranin; exercise; cognitive activity
Adrià Casamitjana	Universitat Politència de Catalunya	PhD, machine learning, bioengineering, early stage of AD
Ramon Casanova	Wake Forest University School of Medicine	Machine Learning, Regularization
David Casas	UPM	SUVR measureament
David Cash	University College London	familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Julian Caspers	University Hospital Düsseldorf	resting-state fMRI, machine-learning, classification
Isabella Castiglioni	National Reserach Council	AD, MCI, image classification, diagnosis, MRI, PET
Mariana Castro	Universidade do Minho	Alzheimer's disease, MRI, Feature Extraction, Machine Learning
Mac Gayver Castro	University Center Christus	Alzheimer disease, imaging, algorithms
JUAN ANTONIO CASTRO SILVA	UNIVERSIDAD DE SALAMANCA	medical image analysis, alzheimer's disease
Carrie Caswell	University of Pennsylvania	joint modeling, left truncation, longitudinal, time-to-event
Iván Catalinas	Universidad Politécnica de Madrid	Alzheimer
Liam Cattell	Oxford University	Registration
Franco Cauda	University of Turin	damage network, Bayesian statistic, Alzheimer’s Disease
Michelle Caunca	University of Miami Miller School of Medicine	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Michele Cavallari	Brigham and Women's Hospital, Harvard Medical School	amyloid, perivascular spaces, glymphatic
Tim Cedervall	KTH	Bachelor thesis svm
alper celik	indoc research	ML, ANN
Jade Centeno Amandio	PUCRS	research
Jonathan Cerna	Iowa State University	Pyruvate Kinase, CSF, biomarkers, AD, MCI, CN
Diego CERPELLONI	Udacity	Udacity Machine Learning
Ricardo Cerri	Federal University of Sao Carlos	machine learning, SNPs, Alzheimer Disease
Patricia Cervantes	ITESM	Tadpole
Marcela Cespedes	Queensland University of Technology	brain deterioration trajectory, bayesian analysis
Sadi Cetinkaya	Türk Telekom	Deep Learning
Alper Çevik	Middle East Technical University	Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Halil Çevik	Izmir Katip Celebi University	ADNI,MRI,image processing,vbm,spm
Jiook Cha	Columbia University Medical Center	deep learning
Jungho Cha	University of California San Francisco	tau, pib
Yoonjeong Cha	Immuneering	target identification, pathology, survival analysis, pathway analysis
JONATHAN CHACON	California State University, Fullerton	ADN; Alzheimer's Disease; APOE; genome-wide association studies (GWAS)
Maria Chagoya	Universidad de Monterrey	RM images, thesis
Yaqiong Chai	CHLA	deep learning reconstruction
Shreya Chakrabarti	Indiana University School of Medicine	imaging, genetics, biomarkers
Shouvik Chakraborty	University of Kalyani	MRI, Image Segmentation, ANN
Kingshuk Chakravarty	Tata Consultancy Services Ltd.	structural/functional connectivity analysis, MCI, Alzheimer's, Classification
Daniel Chalupa	Brno University of Technology	Pharmacokinetic Modeling, Multiple Classifier Systems
Takwa Chammam	National School of Engineering, Gabès,TUNISIA	Alzheimer, hippocampus segmentation
Christina Chan	Michigan State Univ.	NCI-DREAM 8.5
Wang Pong Chan	UCLA	Alzheimer's, Age, Income, Lifespan, Music, Eating
Daniel Chan	University of Oxford	N/A
Alan Chan	University of Alberta	multivariate statistical analysis
Prakash Chandra	Banaras Hindu University	Clinical Research dataset
Mritula Chandrasekaran	Christ University	Brain Cognition
RUI CHANG	Icahn School of Medicine at Mount Sinai NY	Systems biology
Yu-Ming Chang	Beth Israel Deaconess Medical Center/Harvard Medical School	Alzheimer's, temporal horn, ventricle
Hyunggi Chang	University of Warwick	magnetic resonance imaging, artifacts
Catie Chang	National Institutes of Health	resting-state fMRI, spontaneous activity, dynamics
tzu an chang	National Cheng Kung University	adam10328
Qi Chang	Rutgers University	machine learning
QUAN CHANG	Chongqing university of Posts and Telecommunications	deep learning , ADNI
tzu an chang	National Cheng Kung University	adam10328
Yuchou Chang	University of Houston - Downtown	MRI, segmentation, registration, classification
Yu-Chuan Chang	National Taiwan University	Alzheimer, Data Mining
Jose Chang	National Cheng Kung University	Deep learning, CNN
Marianne Chanti-Ketterl	Duke University	Genetics, using ADNI data as a teaching example, Friday Harbor
Linda Chao	UCSF	PIB, MCI, cognition
li chaofeng	sun-yatsen university	MR CT deep learning
fadoia chaouech	Higher Institute of Management of Gabes	fadoia1993
Arnaud Charil	Eli Lilly and Company	MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Cui Charles	Tsinghua University	AI, deep learning
Pratishtha Chatterjee	Macquarie University	plasma ferritin, serum ferritin, iron, brain amylid load
subhankar chattoraj	Techno India University, West Bengal	SSDA, shallow learning, deep learning, hybrid model
Ann Chau	HKU	ASL and amyloid
Om Chaudhari	UNLV	Alzheimer's disease, deep learning, deep polynomial networks
Zainab Chaudhry	FAST-NU	AD
Laurent Chauvin	Ecole de Technologie Superieure	Local Features, Subject Identification
Kevin Chavez	Stanford University	Alzheimers, classification, machine learning
Yusuke Chayama	Hosei University	Deep Learning, Brain MRI
Yanqiu Che	Penn State College of Medicine	MRI; Alzheimer's Disease; Machine Learning
Jacqueline Chea	Harvard College	genetics, cognitive impairment
Gal Chechik	Bar-Ilan University	Deep learning
Lovena Chedumbarum Pillay	University of Oxford	Machine Learning, Alzheimer's Disease, MRI, PET
Evelyn Chee	Hanalytics	image registration
Eduard Artur Chelebian Kocharyan	Universitat Politècnica de València, UPV	Machine, Deep Learning
Fang Chen	jackson state university	image deep learning Alzheimer's
Ting-Huei Chen	Laval University	structural equation modeling
SY Chen	Emory University	Classification
Jiu Chen	Nanjing Medical University	AD, aMCI, DTI, sMRI, fMRI
Jinxin Chen	Chengdu University of TCM	alzheimer，sleep disorders，fMRI
Jing Chen	Shandong University of Science and Technology	deep Gaussian process ,classification
Keping Chen	Southeast University	biomarkers, criculating,Alzheimer’s disease
Yuan-Yi Chen	UCLA	Bran Visualization
Gennan Chen	Synarc	Segmentation
Yuhua Chen	Cedars-Sinai Medical Center	deep learning, super-resolution, image enhancement, MRI
Jiashi Chen	xidian university	image processing
Linlin Chen	Xidian University	academic research on medical images
Peizhi Chen	Xiamen University of Technology	image registration
Ying-Hsiang Chen	Bioinfotronics Research Center	Intelligent, cloud computing, infrastructure
Jian Chen	ShangHai JiaoTong University	symptoms, medicine
MINGXUAN CHEN	Infinity Lab	Alzheimer Disease; Text mining
Buxian Chen	Sun Yat-sen University	study a paper, ADNI
Jun Chen	University of Michgan	data fusion
Yiyun Chen	Xiamen University	graduation project of undergraduates
Gang Chen	Medical College of Wisconsin	fMRI, MRI
Jiali Chen	Zhejiang University of Technology	Hippocampus detection
Shuai Chen	Erasmus Medical Centre	TADPOLE, Alzheimer's Disease Prediction
Ming Ting Chen	National Cheng Kung University	Alzheimer's disease
Jerome Chen	Chang Gung University	Deep Learning, Alzheimer’s Disease, MRI, FMRI
Liu Chen	Oregon Health & Science University	Neural Networks
Tzu-Chieh Chen	UC Berkeley	MRI, machine learning
Wanghao Chen	Southeast university	Alzheimer
Robert Chen	Washington University St. Louis	ADNI deep machine learning
Kevin Chen	Stanford University	multimodal imaging, image post-processing, spatial resolution
Junhua Chen	Beijing University of Technology	Deep learning, brain age
Liang Chen	University of Macau	miRNA, biomarker
Hsu-Hsin Chen	Genentech	Alzheimer's Disease
Shihui Chen	The University of Hong Kong	connectivity analysis
Qibai Chen	University of Science and Technology, Beijing	pattern recognition, classifier
Bo Chen	Fudan University	Graph theory, mental illness
Taolin Chen	West China Hospital of Sichuan University	network study
Wei-Jie Chen	zhejiang university of technology	multi-task learning; feature selection; support vector machine; data anaylsis
Zhie Chen	Chinese PLA General Hospital	AD; brain; voxel-based morphometry; brain structure
Yin Jie Chen	University of Pennsylvania Perelman School of Medicine	Alzheimer's disease, multimodality, longitudinal
Ningxuan Chen	Chinese Academy of Science	deep learning, classifer
Hirotoshi Chen	Zhejiang University	protein protein interaction, network integration
Xin Chen	Merck	disease measurements, time of progression, MMSE, CDR, sensitivity
Ming-Hui Chen	University of Connecticut	Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Hsian-Min Chen	Taichung Veterans General Hospital	Band expansion process, Constrained energy minimization, Otsu’s method
Quan Chen	Shanghai Jiaotong University	quantitative t1w t2w
Tingting Chen	Zhejiang University	Co-Attention, Multi-modal Fusion, AD diagnosis
Xian-gan Chen	South-Central University for Nationalities	machine learning,deep learning,brain disease diagnosis
Rong Chen	Icahn School of Medicine at Mount Sinai	protective allele, Alzheimer's disease
Xi Chen	The University of Texas at Dallas	machine learning, prediction
Jason Chen	University of California, Los Angeles	Network analysis, TBM, personalized medicine
Jingyun Chen	NYU School of Medicine	PET, Tau, Abeta, normalization
Haiwei Chen	UQ	correction
Jianhong Chen	Pennsylvania State University	deep learning, convolutional neural network, classification of AD
Eric Chen	UCAS	computerscienceandmedical
Chi-Hua Chen	University of california san diego	Age, gender, disease status, APOE status
Kewei Chen	Banner Alzheimer Institute	PET SPM image-derived input function,
Kaifeng Chen	University of Michigan	DTI
Ing-jou Chen	Chang Gung University	AV-45, PET, AD, PCA, SVM
GENG CHEN	soochow university	Discriminative dictionary learning;Sparse representation;Structural MR images
Chen Xiaoshun Chen Xiaoshun	Jiangsu University	SICE、ADNI
MengChe Cheng	Acer Inc.	Deep learning
jcheng1 Cheng	Rutgers University	Statistical analysis, data mining, prediction
Jing Cheng	southwest University in China	brain network, dti
Wai Ho CHENG	The Hong Kong Polytechnic University	AD and mild cognitive impairment
Jing Cheng	southwest University in China	brain network, fMRI, AD
Debbie Cheng	National Cheng Kung University	Alzheimer's disease
Hewei Cheng	School of Informatics	AD, MCI, fMRI, DTI, MRI
Yang Cheng	University of Shanghai for Science and Technology	DTI
Danni Cheng	Shanghai Jiao Tong University	convolutional neural network,Alzheimer's disease, Deep learning,
Pujin Cheng	SUSTech	research with Machine Learning
Tanya Chenhall	Cogstate	Cogstate
Liu Chenyang	HongKong University	AD;inverse covariance;
Guo Chenyi	Tsinghua University	Deep learning, machine learning, disease diagnosis
Chen ChenYuewei	Shanghai Maritime University	rest-fMRI,depression
Petr Cheremencov	SpbSpu	mri, ct, medical imaging
William Chern	California Polytechnic State University, San Luis Obispo	AD diagnose
Venkateswararao Cherukuri	PENNSTATE UNIVERSITY	Super resolution
Anthony Chesebro	Columbia University	Network Model, Alzheimer's
Yuen Chung Cheung	Hong Kong Polytechnic University	Molecular Imagin
Eva Cheung	University of HK	MRI PET AD MCI
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
Lumay Chiang	Novartis	PET, SUVr, longitudinal
Yuhei Chiba	Yokohama City University	Immunoogy autoantibody MRI
Patrizia Chiesa	ICM	rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
LIN CHIH-HAO	acer	mri
Daniel Micah Childress	UPENN	web application, programming
gaetana chillemi	irccs	attention, makers
Cherise Chin Fatt	University of Texas at Dallas	dissertation, fcMRI, cortical thicknes
Andrea Chincarini	INFN	longitudinal studies, MCI, network, atrophy measurements
Christopher Ching	UCLA	Urgent request for access
Monica Chiogna	Università di Padova	ROC surface analysis, verification bias, non ignorable missingness
Konstantinos Chiotis	Karolinska Institutet	AD, MCI, PIB, FDG, AV-45
Soo Hyun Cho	Sam Sung Medical Center	Amyloid PET
sang soo cho	University of Toronto	PET
SangYeon Cho	Medical school, Chungnam national university	DEMENTIA
Seoung-Ho Choi	Korea University	Deep Learning , Diagnosis
Hongyoon Choi	Cheonansi Public Health Center	Metabolic network, FDG, Amyloid
Jun-Sik Choi	Korea University	Deep Learning
Sang Geun Choi	Kwang Woon Univ.	segmentation, deep learning
Seo-Eun Choi	University of Washington	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
James Choi	Sabio Research	Alzheimer Machine Learning Neural Networks
Yong-Ho Choi	hanyang university	Imaging genetics
Euna Choi	Seoul National University	DTI TBSS Early detect of Alzheimer's disease.
Anthipa Chokesuwattanaskul	King Chulalongkorn Memorial Hospital	Alzheimer's disease, mild cognitive impairment
Vishal Chopra	JCVC Inc.	Artificial Intelligence, MRI Scans, Alzheimer's
Sidhant Chopra	Monash University	Myelin mapping Sub-cortical
Jill Chotiyanonta	AnatomyWorks, LLC	Brain MRI, Neuroanatomy, Segmentation
Edward Chou	Stanford University	Alzheimers, MRI, 3D CNN
PO-HAN CHOU	Harvard T.H. Chan School of Public Health	cortical thickness, brain asymmetry
Chun-An Chou	Northeastern University	Network, MVPA
Elizabeth Chou	National Chengchi University, Taiwan	machine learning, dimension reduction, similarity measure, classification
Tabina Choudhury	Texas A&M University	Alzheimer’s disease, brain, biomarkers, cognition, dementia, item response theor
Hiba Chougrad	CHOUAIB DOUKKALI UNIVERSITY	computer-aided diagnosis; Brain MRI; Alzheimer’s disease, Deep learning
Francois Chouinard-Decorte	McGill University	brain structure, genetics
Leonidas Chouliaras	University of Cambridge	DNA methylation, Mild Cognitive Impairment, MRI
Vincent Chouraki	Institut Pasteur de Lille	GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Tiffany Chow	USC Alzheimer's Therapeutic Research Institute	microbleed, microhemorrhage, hypertension, hemorrhagic stroke, MCI, AD
Heiman Chow	HKUST	Glucose, AD, Risk
Samadrita Chowdhury	University of Massachusetts,Lowell	Graphs, CNN, PET, FMRI
Lauren Christensen	University of Southern California	brain
Amanda Christini	Blackfynn, Inc	Algorithms, data integration, multimodal data biomarkers
Charalambos Chrysostomou	The Cyprus Institute	Machine Learning, Deep Learning
Hui-May Chu	Anoixis	AD patients
Kai-Hsiang Chuang	University of Queensland	CBF, basal forebrain, functional connectivity
Sun chuanzhu	xi'an jiaotong university	864279
chen chun	SIAT	brain network
Sung Chun	Brigham and Women's Hospital	Heritability, fine-mapping
Marvin Chun	Yale University	functional connectivity
Ai Chung	King's College London	genetics graph network
Yu-Min Chung	College of William and Mary	computational topology, topological data analysis
Wan Chuyu	University	graduation thesis
Darya Chyzhyk	Inria	connectome, functional connectivity
Adam Ciarleglio	NYU Medical School	predictive model, MCI, cognitively normal, baseline clinical measures
Ozkan Cigdem	EMU	parkinson disease, machine learning
Meric Cansu Cinar	Acibadem University	R-fmri, mild cognitive deficits, cognitive tests, resting state networks
Cindy Cindy	CUHK	DWI, voxel size, fiber tracking
Daniele Ettore Ciriello	Orobix	deep learning, nnets, wgan, disease map
Ana Cives	University Hospital of Santiago de Compostela	normal patients MRI
Tod Clapp	Colorado State University	UCHealth IRB
Steven Clapp	Indiana University School of Medicine	MRI, PET, medication
David Clayton	Genentech	image processing, Alzheimer's disease, MRI
Mark Clement	Brigham Young University	DREAM Challenge
Alba Clemente	Univarsity of Zaragoza	bioinformatics, computer vision
Jessica Cloud	McGill University	working memory, default mode network, resting state
Sean Clouston	Stony Brook University	Statistical methods, Alzheimer's disease, brain structure and function
Martin Cloutier	Analysis Group	Agitation, Alzheimer's, Economic burden
Martin Cloutier	Analysis Group	Agitation, Alzheimer's, Economic burden
David Clunie	PixelMed Publishing and RadPharm, Inc	DICOM compression
Daniel Clymer	Carnegie Mellon University	Deep Learning, Medical Imaging, MRI
Bernard Cobbinah	University of Electronics Science and Technology of China	Convolutional Neural Networks
Shelytia Cocroft	Duke University	Genetics, using ADNI data as a teaching example, Friday Harbor
Leandro Coelho	Pontifical Catholic University of Parana	machine learning, fMRI, deep learning.
Joseph Paul Cohen	University of Montreal	Generative modeling, computer vision
David Cohen	Massachusetts General Hospital	CNN, deep learning, machine learning, convolutional neural network, Alzheimer's,
elisa colato	Institution Karolinska Institutet	AV1451 tau PET, MRI, PET, CSF biomarkers
Joseph Cole	Portland State University	Neurodegenerative diseases,Alzheimer's,Biomarkers,Disease progression score
James Cole	Imperial College London	Aging, Machine learning, T1, DTI
Jeffrey Cole	Booz Allen Hamilton	cluster analysis, neuroimaging
Michael Cole	Rutgers University-Newark	cognitive control, resting state
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
David Collier	Eli LIlly and Company Ltd	lipidomics
Joanna Collingwood	University of Warwick	Biomarkers Across Neurodegenerative Diseases Collingwood
Robert Comley	Abbvie inc	PET, MRI
Shan Cong	Purdue University	hippocampus, AD, MCI
Andrew Conklin	Origent Data Sciences	Machine Learning, Classification and Regression Modeling
Adam Connolly	Invicro	machine learning disease progression prediction
Joanne Conover	University of Connecticut	Aging, Alzheimer's disease, MRI, FLAIR-MRI
Ivona Contardo-Berning	Stellenbosch University	Multi-label classification
Ronan Conway	National College of Ireland	alzheimers dementia
Danielle Cooke	Beth Israel Deaconess Medical Center	resting state connectivity, lesion network analysis
Pascal Coorevits	The European Institute for Innovation through Health Data (i~HD)	data quality assessment tools
Agata Copani	University of Catania	beta-amyoid, cell cycle genes
Giovanni Coppola	UCLA	genetic genomic biomarkers
fabian Corlier	University of Southern California	systemic inflammation, covariance structure analysis, brain structural integrity
Joshua Cosman	Pfizer	Alzheimer's, Biomarker
Sebastian Costantino	Instituto Radiologico	Alzheimer learning teaching
Sebastian Costantino	Instituto Radiologico	medicine faculty FASTA Argentina
Victor Costumero	Universitat de València	mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard	CNS-Fed	Neuropsychology, Aging, Eye movements, Vision
David Coughlin	University of Pennsylvania	AV1451, Dementia with Lewy Bodies, Alzheimer's Disease
Pierrick Coupé	LaBRI UMR 5800	hippocampus
Elizabeth Couser	University of Maryland, Baltimore	imaging, Alzheimer's
Baptiste Couvy-Duchesne	Institute of Molecular Bioscience	Advanced brain aging, prediction, structural MRI
Kris Cox	CNPRC	tau
Federico Cozza	University of Salerno	deep learning brain diseases multiview
Brian Cozzi	Rush University Medical Center	CNN, Machine Learning, SVM
Paul Crane	University of Washington	genetics, example data set for learning, Friday Harbor
Breanna Crane	Vanderbilt University	Atrophy, Connectivity, MCI
Karen Crawford	UCLA Laboratory of Neuro Imaging	None
Karen Crawford	USC	That
Byron Creese	King's College London	polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
Ivor Cribben	University of Alberta	Networks; Longitudinal networks; Resting state
Alessandro Crimi	University of Zurich	radiogenomics
Iain Croall	University of Sheffield	Teaching volumetry
Etienne Croteau	CRCHUS Sherbrooke University	PIB, concussion, MRI
Mark Crowley	University of Waterloo	deep learning, anomaly detection
Carlos Cruchaga	Washington University School of Medicine	CSF, plasma, RBM, GWAS, whole-genome
Carlos Cruz	Arizona State University	Biomarker
Luis Cruz	University of Coimbra	Alzheimer
Math Cuajungco	California State University Fullerton	Neuroscience
ice cubepill	null	cv
Jing Cui	Centre hospitalier universitaire vaudois	The Human Brain Project
Nicholas Cullen	University of Pennsylvania	NFL, CSF
Tia Cummins	University of Melbourne	neuropsychology
Miroslava Cuperlovic-Culf	National Research Council, Canada	machine learning; feature selection; genome scale model;
Tristan Curteis	University of Oslo	Longitudinal prediction
Max Cynader	University of British Columbia	Alzheimer's Disease, machine learning, cognitive impairment risk
Chitradevi D	Hindustan Institute of Technology and Science	Alzheimer's disease
binu D	Anna	Alzheimer'
Nuno da Silva	Luz Saúde	MPRAGE, T1, DTI
Amirhossein dadashzadeh	faculity of computer science	deep learning , convolutional neural network,medical image analysis
Ravi Dadsena	IIT Madras	MRI, CFD Models, Alzheimers
Shabnam Daghaghi	Texas A&M University	brain data, phd, research, Alzheimer Disease
Said Dahbour	Jordan University Hospital/ University of Jordan	Brain volume change, Alzheimer disease
Yinglong Dai	Central South University	human body simulator; input-output system;
Heng Dai	Shenzhen Institutes of Advanced Technology	methylation, illumina microarray, AD pathway
Ning Dai	University of Minnesota	regional homogeneity; fMRI data analysis; longitudinal
Olivia Dai	Harvard University	Alzheimer
Weiying Dai	Binghamton University	ASL and fMRI resting state and fMRI task
Josue Luiz Dalboni da Rocha	Univeristy of Geneva	DTI, freesurfer, parahippocampal gyrus, AD, MCI
Adrian Dalca	Massachusetts Institute of Technology	medical image analysis, genetics, DREAM challenge
Pablo Damasceno	UCSF	neurodegeneration; brain atrophy; neuropathology
stefano damiani	The Royal Hospital	Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Mouna DAMMAK	National Engineering School of Sfax	Alzheimer ; segmanttaion; classification; sparse coding
Jessica Damoiseaux	Wayne State University	functional connectivity, hippocampus, cognition
Kristen Dams-O'Connor	Icahn School of Medicine at Mount Sinai	Genetics, using ADNI data as a teaching example, Friday Harbor
Christa Dang	University of Melbourne	cognition, MRI, APOE, longitudinal, biomarkers
Zinkert Daniel	Uva Wellassa University	Brain, Cortical Thickness
Christian Dansereau	Perceiv Research, Inc.	Biomarker, progressors prediction, cognitive decline
Ryan Darby	BIDMC	cognitive reserve, executive, semantic, neuroimaging
Eveleen Darby	Baylor College of Medicine	Alzheimer Disease
Burcu Darst	University of Wisconsin, Madison	Alzheimer's disease, cognitive function, metabolomics
Caroline Dartora	PUCRS	Brain Connectivity, Alzheimer's Disease, MRI, PET
Sultan Darvesh	Dalhousie University	Alzheimer, MCI, FDG-PET, amyloid-PET, SUVR, early biomarker
Dulumani Das	Gauhati University	Image Processing . segmentation. MRI.
Rajdeep Das	National Institute of Technology, Calicut	Gated Recurrent Units (GRU), Long Short Term Memory(LSTM), ANN
Kalyan Das	University of Calcutta	categorical,miscategorization, missing ness,
Sandhitsu Das	University of Pennsylvania	hippocampus MCI
Gautom Das	Montgomery Blair Highschool	PPMI neural networks model prediction longitudinal course
jessica dasari	texila american university	Diffusion tensor imaging
Manoranjan Dash	A*STAR	Heterogeneous Data analytics, diagnosis
Shovon Dash	Khulna University of Engineering and Technology,Khulna,Bangladesh	Diagnosis of Alzheimer's Disease
Ashkan Dashtban	University of Reading	Medical Image Analysis
Jérôme Dauvillier	SIB - Swiss Institute of Bioinformatics	Epistasis
Khishigsuren Davagdorj	Chungbuk National University	data mining
Deana Davalos	Colorado State University	TBI, biomarkers, dementia, pathological aging
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
Symphony Davis	Indiana University School of Medicine	Alzheimer's, Imaging
Eran Dayan	University of North Carolina at Chapel Hill	resting state, connectivity, machine learning
DR INDRAJIT DE	MCKV INSTITUTE OF ENGINEERING	PCNN, NSCT TRANSFORM, MEMBERSHIP DEGREE
Debraj De	Smart Health Beacons LLC	deep learning, cognitive health
Renske de Boer	Quantib B.V.	evaluation, segmentation
Marleen de Bruijne	Erasmus Medical Center	image analysis
Fabrizio De Carli	National Research Council - Italy	Mild Cognitive Impairment; Alzheimer Disease; FDG-PET
Mariana de Carvalho Pereira	State University of Campinas	CNN network, AD biomarkers, AD
Manlio De Domenico	Universitat Rovira i Virgili	Multilayer networks
Leonardo de Geus	PUCPR	diagnosis, alzheimer, research
Johann de Jong	UCB	patient stratification, disease progression
IRENE DE LA CALLE POBRE	Technical University of Madrid	MCI, MRI
Javier de la Rúa Martínez	Universidad Politécnica de Madrid	Features extraction MRI module
Siemon de Lange	University Medical Center Utrecht	connectome, structural connectivity, Alzheimer, MCI
Vincenzo De Luca	University of Toronto, Centre for Addiction and Mental Health	AD, Age at onset, GWAS
Matteo De Marco	University of Sheffield	Alzheimer's disease, mild cognitive impairment, resting state
Mariana De Melo Aguiar	UNICAMP	ranking, image processing, image segmentation
Dante De Nigris	Personal	machine learning, MRI, data-driven
Michiel de Ruiter	Netherlands Cancer Institute	data pooling, breast cancer patients, longitudinal, atrophy
Niek de Schipper	Tilburg University	Data integrating, Simultaneous component analysis, gene-environment interaction
Eric de Silva	University College London	polygenic risk scores; cardiovascular disease
Alexandra de Sitter	VU Medical Centrum Amsterdam	MRI defacing skullstripping Alzheimer
Javier De Velasco Oriol	Instituto Tecnologico y De Estudios Superiores de Monterrey	Prediction, Machine Learning, Support Vector Machines, Beta Amyloid
Rashid Deane	University of Rochester	Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
Dharmashloka Debashis	IIT Bombay	segmentation, deep learning.
Dominic DeBiaso	McKinsey & Co	Prodromal, Alzheimer's disease, machine learning, deep learning, patient segment
Charles DeCarli	University of California at Davis	MRI, cerebrovascular disease
Summer Decker	University of South Florida Morsani College of Medicine	morphometrics
Michael Decker	Case Western Reserve University	hypoxia, hyperoxia, neurodegeneration
Brittany DeFeis	University of Florida	MCI, intervention, functional outcomes, clinical outcomes
Omar Dekhil	University of Louisville	MRI, fMRI, ICA
Sebastian Del Barco	University of Colorado Denver	fMRI, PET, Convolutional Neural Network, Early Diagnose, AD
JOHN Del Gaizo	Medical University of South Carolina	early-onset AD, verbal fluency, amyloid, neuropsychological testing
Stefano Delli Pizzi	Univesity of Chieti-Pescara	Alzheimer's Disease, Biomarkers
paul delmar	F.Hoffmann-La Roche Ltd.	disease progression end-point clinical trial
Jessica Delmoral	FEUP	machine learning, segmentation, brain PET
Gaspar Delso	GE Healthcare	PET/MR
zeynep demir	University of California San Francisco	ADNI
Yanjia Deng	The Chinese University of Hong Kong	MRI, visual function, MCI, AD
Hao Deng	University of Chinese Academy of Sciences	Student
Qiao Deng	Northeastern University	DWI MRI
Xianqiong Deng	Wayne State University	machine learning, medical images
chunyan deng	southern medical university	AD MCI
YANG DENG	Tsinghua University	research
Kristina Denisova	Columbia University Medical Center	structural and functional MRI
Dennis Deptula	Immunobrain Checkpoint	Clinical Trials, outcome measures, Alzheimer
Brendan Depue	University of Louisville	PTSD, Amygdala, Morphometry
Rezwan Derakshan	urmia university	data mining
Thomas DeRamus	University of Alabama Birmingham	Diffusion Imaging, funcitonal connectivity
Gulcicek Dere	Yeditepe University	dwi
Juhi Desai	In-Med Prognostics	Segmentation
Sameer Deshpande	University of Pennsylvania	Bayesian methodology, mixture modeling, spatial smoothing
Rahul Desikan	Martinos Center for Biomedical Imaging	MCI, MRI, morphometry
Avin deSilva	Clear Brook High School	Machine Learning
Brian Destrada	Recent Graduate Student	Amaloyd, Tau
Kacie Deters	Stanford University	genetics, imaging, cognitive decline
Vivek Devadas	Banner Alzheimer's Institute	Kewei Chen
Viswanath Devanarayan	Abbott Labs	biomarkers, disease prognosis, disease progression, multivariate analysis
Sridharan Devarajan	Indian Institute of Science	MCI, machine learning
Gabriel Devenyi	Douglas University Mental Health Institute, McGill University	MRI
Ilse Dewachter	Université catholique de Louvain	AD, MRI, amyloid and tau pathology
Blake Dewey	Johns Hopkins University	mri, ct, synthesis
Raunak Dey	University Of Georgia	Skull scraping
Zalina Dezhina	Kings College London	machine learning, data analysis, statistics
Devendra Dhami	Indiana University	Alzheimer,MRI,prediction
DIVYA DHARANI	Anna university	research
Moyez Dharsee	Ontario Cancer Biomarker Network	integration, analysis
Ashish Dhumal	Vspace Software Solution	brain network, deep learning, early diagnosis, Alzheimer’s disease
Xin Di	University of medicine and dentistry of new jersey	connectivity, pet
Francesco Di Lorenzo	University of Sussex	AD, functional conncectivity, ApoE, computational model, disease progression
Mamadou Diaby	Alten	regression test
Kimberly Diah	Nova Southeastern University -	Biomarkers, AD severitty, MCI, Neuroinflammation
Mirella Diaz-Santos	University of California, Los Angeles	Cognitive reserve, using ADNI data as teaching example, Psychometrics Workshop
Florin Sebastain Dica	University of Birmingham	Deep Learning
Stefano Diciotti	University of Bologna	texture analysis, fractal analisys, machine leaning, MRI
Bradford Dickerson	Massachusetts General Hospital	MRI, PET, cortical thickness, MCI, AD
David Alexander Dickie	The University of Edinburgh	Normality Brain pathology Computer-assisted image interpretation Reproducibility
Philip Dickinson	McGill University	resting state, connectome wide association
Ellen Dicks	VU University Medical Center	brain connectivity, cognitive decline, graph theory, single subject
Samuel Dickson	Pentara Corporation	genetic risk validation meta-analysis SNP
Karl Diedrich	Perkin Elmer	Analytics correlation
Kersten Diers	German Center for Neurodegenerative Diseases	quality control; statistical modeling
Louis Dieumegarde	IUSMQ	Database
Yago Diez Donoso	Yamagata University	image registration, research
Vanderson Dill	Pontifícia Universidade Católica do Rio Grande do Sul	Hippocampus Segmentation, Evaluation
Xuemei Ding	Ulster University	Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Xuetong Ding	HeBei University	image processing about human brain
Zhipeng Ding	University of North Carolina at Chapel Hill	longitudinal image regression
Xiuhua Ding	University of Kentucky	group based trajecotry model , dementia, sleep apnea
Yukun Ding	University of Notre Dame	MRI; DNN-based image processing
Camila Diniz	IFPE	Alzheimers disease, project
Ivo Dinov	UCLA	Alzheimer's disease, statistics, shape
Nicola Dinsdale	University of Oxford	hippocampus machine learning
Valentin Dinu	Arizona State University	pathway analysis, complex phenotype, data mining, statistical analysis
Ibrahima Diouf	commonwealth scientific and industrial research organisation (csiro)	CSF ferritin
Aleksandar Djuric	Robarts Research Institute	deep learning, segmentation
Vitaly Dobromyslin	University of Massachusetts Lowell	Machine learning, genetics, fMRI, PET
Alessandra Dodich	Hôpitaux Universitaires de Genève	Alzheimer's Disease; tau; cognitive reserve
Merve Yusra Dogan	Istanbul Medipol University	functional connectivity, neuropsychological test, fMRI, big data
Oriol Dols-Icardo	Sant Pau biomedical research institute	Genomics, MRI
Sudipto Dolui	University of Pennsylvania	ASL, signal processing, denoising
Daniel Domingo Fernandez	Fraunhofer SCAI	Bioinformatics
Carmen Dominguez	University of Florida	PET
Frank Dondelinger	Lancaster University	lasso, prediction
Di Dong	Carnegie Mellon University	Deep Learning, Prediction, Machine Learning
Sen Dong	Ludwig Maximilian University of Munich	Deep Learning
Mei Dong	University of Saskatchewan	Bayes method, simulation
Ganggang Dong	Xidian University	DIAGNOSTICS
Qunfeng Dong	Loyola University of Chicago	Machine learning, Medical Image Analysis
ZHANG DONG	Nanjing University of Science and Technology	Visualizing; CNN
YANG DONG	Yanshan Uniwersity	dti
Shidu Dong	Chongqing University of Technology	Image Segmentation
Zhengchao Dong	Columbia University	deep learning, MCI, AD, NC
Li Dong	University of Electronic Science and Technology of China	classification, fmri
chao dong	Northeastern University	segmentation
Jian Dong	Harvard Medical School	Diffusion MRI, white matter, beta amyloid
Michael Donohue	Keck School of Medicine of USC	ADCS
Sri Donthineni	High School Student	Genetics
Lingraj Dora	VSSUT	brain tumor detection
vincent Dore	CSIRO	PET longitudinal
Reuben Dorent	KCL	tissue segmentation machine learning
Lena Dorfschmidt	University College London	connectomics, rich club, NBS
Mitchell Doughty	McMaster University	Controls, TBI
N. Maritza Dowling	University of Wisconsin-Madison	Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Andrew Doyle	McGill University	deep learning
Bogdan Draganski	CHUV	voxel-based morphometry
Sorin Draghici	Advaita	meta-analysis, data integration, subtype discovery
Andrei Dragomir	University of Houston	AD connectomic biomarkers, genotype-phenotype relation
Daniel Drake	Columbia University	elastic net, penalized regression, biomarkers
Derek Drake	Harvard University	AD
Gabriel Dreiman	Cornell University	TADPOLE
Lei Du	Northwestern Polytechnical University	Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Wenhao Du	CSU	dwh1023725
Yuhui Du	The Mind Research Network; Shanxi University	Biomarkers, Classification, Clustering
Xiuli Du	Nanjing Normal University	Image recover; regression model
Jinglong Du	Chonqing University	MRI
Kevin Du	Xiamen niversity	Academic propose
yuhang du	hebei university	Resting-state fMRI; Functional connectivity; Alzheimer’s disease; Mild cognitive
Guangwei Du	Penn State Hershey Medical Center	TBM, neurodegenerative disease pattern
Sejal Dua	Tufts University	fMRI, data analysis, PET, k-means, clustering, algorithm, neuroimaging
Fang DUAN	The University of Tokyo	DNB, network analysis
yingying duan	southern medical univercity	MRI
Yuzhuo Duan	Dalian University of Technology	registration
peng duan	University of Science and Technology of China	segmentation
JUAN DUARTE	UNIVERSIDAD NACIONAL DE COLOMBIA (UNAL)	ALZHEIMER, MORPHOLOGY, DATA ANALYSIS
Kauê Duarte	UNICAMP	neural nets, ranking, content based retrieval
Shiv Ram Dubey	Indian Institute of Information Technology, Sricity	Image Retrieval, deep learning, feature vector, biomedical images
florian dubost	Erasmus MC	enlarged perivascular spaces, deep learning, neural networks
Simon Duchesne	True Positive Medical Devices Inc.	Biomarkers; Volumetry; Normative data
Simon Duchesne	Université Laval	Morphometry, MRI, multidimensional analysis
Ben Duffy	USC	QC
Andrea Duggento	University of Rome "Tor Vergata"	brain connectivity, granger causality, directed graphs
Bernadette Duhan	University of Texas at Arlington	Machine Learning Image Upscaling
Juergen Dukart	Hoffmann-La Roche	PET MRI biomarkers diagnostic models
Matthieu Dumont	Imeka	DWI DTI HARDI Tracking
Julien Dumurgier	Lariboisiere Fernand Widal Hospital	APOE, AD, CSF biomarkers
Duc Duong	Emory University	proteins, biomarkers
Tugce Duran	Indiana University School of Medicine	MRI and PET scans, genotypes
Dunja Duran	BESTA	EPILEPSY PET MULTIMODAL
Stanley Durrleman	INRIA	statistics, longitudinal, spatiotemporal data, image analysis, aging, brain
Joyita Dutta	UMASS / Harvard / MGH	classification, clustering, deep learning
Martin Dyrba	German Center for Neurodegenerative Diseases (DZNE)	probabilistic models, multimodal analysis, machine learning, Markov random field
Witold Dyrka	Wroclaw University of Science and Technology	MRI, PET, computer-aided analysis, image segmentation, neural network, python
Gill Eapen	Decision Options, LLC	Artificial Intelligence, Decision Options
Bobi Eastman	Indiana University	data analysis, research, early detection
Jennifer Eastman	Northwestern University	MCI
Susan Eaton	Biogen	epidemiology, predictive model
Mark Ebbert	Mayo Clinic	Challenging regions
Amir Ebrahimighahnavieh	University of Newcastle	Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Ainhoa Echeverria	Genentech	clusterin, ApoJ, eQTL
amira echtioui	enis	ya allah1
Rafael Eder	Predict Vision	dicom deep learning
Steven Edland	UCSD	APOE
Emily Edmonds	University of California, San Diego	Mild cognitive impairment; Neuropsychology
ANTOINE D EDOUARD	Harvard University	MCY&ALzheimer
Carley Edwards	Imperial College London	Tau, Amyloid and FDG
Trygve Eftestøl	University of Stavanger	dementia, machine learning, deep learning
Bernhard Egger	Massachusetts Institute of Technology	WMH, Shape Modelling, Statistics, Growth Modeling
Graham Eglit	University of California, San Diego	survival analysis; progression to dementia; mild cognitive impairment; ATN Syste
Dagmar Ehrnhoefer	BioMed X Innovation Center	CSF, tau
Fatima Ehsan	National university of science and technology	brain ct
Simon Eickhoff	Research Center Jülich	Aging, Prediction, Transfer
LUCIANA EIDENSON	IACA Laboratorios	innogenetics
Rami Eisawy	Technische Universität München	deep learning ad mci cortical thickness
Sarah Eisenstein	Washington University School of Medicine	dopamine SNP BMI
Chima Eke	Plymouth University	Biomarker discovery
Shereen Ekhlas	Cairo Univerity	Alzheimer Disease, ADNI, MRI
Anders Eklund	Linköping university	Deep learning, multi modality, fMRI, dMRI, convolutional neural network
Ender Eksioglu	Istanbul Technical University	MR reconstruction, undersampled k-space data, sparsity based MR reconstruction
Mostafa EL HABIB DAHO	University of Tlemcen	Deep Learning, Classification, ADNI, Alzheimer
Karim El Hallaoui	The University of Hong Kong	Brain segmentation
Lamia EL-BESRI	University	Alzheimer
Fady El-Gabalawy	BIDMC	adni, machine learning, neural networks
Ahmed El-Maghraby	Tanta University	Pedigree,Designs in Linkage
fanny elahi	UCSF	Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
Annie Elander	Johns Hopkins School of Medicine	cortisol, medial temporal lobe
Ahmed Elazab	Shenzhen University	AD, biomarkers
Mohamed ElBialy	Cairo University	deep learning, neural networks, machine learning
Ghaidaa Eldeeb	faculty of engineering cairo univeristy	DTI
Fatmaelzahraa Elgamal	University of Louisville	Fusion, medical image analysis, early diagnosis of AD
Yuri Elias Rodrigues	UFRGS	machine learning, distance based algorithms
Natalie Ellison	Pentara Corporation	Composites Genetics
Jeremy Elman	UCSD	Pupillometry, aging, dementia
abdo elsayed	assuit university	rmi
Ghada Elsegaee	Arab Academy for Science, technology and Maritime Transport	research
Jurriën Embrechts	amc	machine learning
Mohammad Asif Emran Khan Emon	Fraunhofer Institute for Algorithms and Scientific Computing SCAI	Neuroimaging Analysis, LONI
Gabriel Emunah	Tufts University	cerebral deterioration
Corinne Engelman	University of Wisconsin-Madison	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
William Engels	Portland State University	TADPOLE challenge
Bob Engle	Biogen	ADNI Stat Programming, Baseline Analyses to understand disease progression
Rahim Entezari	Institute for Research in Fundamental Sciences	gan,anomaly
Gina Eom	University of Toronto	inflammation
Joel Eppig	SDSU/UCSD Joint Doctoral Program in Clinical Psychology	MCI, Latent Variable Modeling
Noam Epstein	University of Illinois at Chicago	Pharmacoepidemiology
Fusun Er	Yeditepe University	Alzheimer's Image Processing
Alveiro Erazo	Universidad Nacional de Colombia	Alzheimer Disease, Prediction, Artificial Intelligence
Mahdiyeh Erfanian	Ferdowsi University of Mashhad	statistics. SPC, profile monitoring
Valentina Escott Price	Cardiff University	Polygenic Risk
Javier Escudero	University of Edinburgh	Machine learning, Decision support, biomarkers
Simon Eskildsen	Aalborg University	cortical thickness, brain mapping, segmentation
mohamad eslami	tehran university of medical science	alzheimer , research
Sahar Esmaeeli	Abbvie	Alzheimer, imaging, Genetics
Soheil Esmaeilzadeh	Stanford University	deep learning course, Stanford university, class project
Luis Espinosa	York University	Traumatic Brain Injury and Alzheimer's Disease
Karol Estrada	Biogen	Alzheimers genetics nerological
Karol Estrada	Genothis	genetics genomics alzheimers
Hary Estrada Bueno	Florida International University	dementia
Dhivya Eswaran	Carnegie Mellon University	hidden markov models, exploratory analysis
A Et	EtPc	Ad, MRI
Lee EunChong	Korea Univ.	shape analysis
Lee EunChong	Korea Univ.	shape analysis
Bouguen Eva	Servier	Biomarkers Alzheimer Disease Drug Developpement
Ignacio Evangelista	Universidad Nacional de Rosario	Database, Normative values, Machine learning
Dave Evenden	Southampton Universiry	Dementia, Disease Modelling, Healthcare Planning
Paul Expert	Imperial College London	Graph Convolutional Neural Networks, Complex Networks
Ali Ezzati	Albert Einstein College of Medicine	Volumetric, MRI, Amyloid, cognitive decline
saeid fa	Qazvin Islamic Azad University	image classification
Nathalie Fadel	Columbia University Mailman School of Public Health	fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac
Rachid Fahmi	Siemens Healthcare	AD, PET, FDG, MRI, Amyloid
Sylvain Faisan	Icube	Image processing, pattern recognition
SHERIN FAIZAL	NEHRU ARTS AND SCIENCE COLLEGE	SPECT, Partial Least Squares, SVM, Alzheimer’s disease
majid fakheri	urumi university	alzheimer
Farshad Falahati	Karolinska Institutet	AD, MCI, MRI, PET, CSF, Multimodal diagnostic index
Raul Falcão	UFPE	database, bioinformatics
Yong Fan	University of Pennsylvania	Pattern recognition; Machine Learning, Multi-site data
ZHEN FAN	Imperial College London	AD biomarkers PET MRI
zhiwen fan	Xiamen University	MRI, DEEP LEARNING
Yong Fan	University of Pennsylvania	Pattern recognition
zhen fan	Huashan hospital of Fudan university	for reaserch
Yonghui Fan	Arizona State University	ADNI2-GO MRI data
Jim Fan	Stanford University	deep learning
Weina Fan	Qufu normal university	Research the Alzheimer's disease
ZHEN FAN	Imperial College London	Longitudinal amyloid tau
ZY Fang	Peking University	fMRI, Alzheimer's Disease, CAD
Xiaoling Fang	McGill University	Alzheimer's disease, MRI, DTI, PET, system failure, brain networks
CHAO FANG	THE UNIVERSITY OF MANCHESTER	machine learning, automatically detection
Zhengyang Fang	Peking University	fMRI, Alzheimer's Disease
ZHOU FANG	Chinese University of Hong Kong	Deep Learnining, Alzheimer's Disease
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
David Fardo	University of Kentucky	Pathway-wide association, AD
Jeanfranco David Farfan Escobedo	Universidad Nacional de San Antonio Abad del Cusco	12345
Muhammad Farhan	Bahria University Islamabad, Pakistan	Neural networks
Bijan Farhoudi	University of Calgary	MRI
Gonzalo Farías	Universidad de Chile	synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Sarah Farias	University of California Davis	cognitive reserve, cognitive decline
Mohammadjavad Faridafshin	Shiraz University	image processing, AD, Classification, Machine Learning,
Bryn Farnsworth	Independent	SNPs, GWAS
Ammarah Farooq	CEME NUST	multiclassification, deep learning
Hamza Farooq	University of Minnesota	Diffusion MRI, Structural graph analysis, Alzheimer's Disease
Danielle Farrar	Boston University	MCI, Alzheimers, fMRI, Executive Function, frontal lobe
Cathy Farrar	Rockwood School District	early onset dementia and plaque formation
Chloe Farrell	King's College London	Genetics; Neuroscience; Neurodegeneration; Neuroimaging
Michelle Farrell	Massachusetts General Hospital	amyloid, cognitive decline, preclinical AD
Lindsay Farrer	Boston University School of Medecine	gwas alzheimers meta-analysis adgc
maedeh fasihi	ucf	machine learning, classification, pattern recognition
fatemeh fatemehh	tehran	fateme
Sina Fathi	Iran university of medical sciences	CDSS, Alzheimer's disease, deep learning
Shizza Fatima	National University of Sciences and Technology (NUST)	Image processing, cross correlation analysis
Cristian Fatu	University Transilvania	papagal
Noel Faux	Mental Health Research Institute (MHRI)	AIBL, Rules Based Medicine Discovery MAP 1, plasma
Noel Faux	IBM Research - Australia	Biomarkers, prognosis, genomics, cognitive decline
Clélia Favary	INSERM U1219 BORDEAUX POPULATION HEALTH	risk score - dementia - external validation
Amir Fazlollahi	CSIRO	ASL Perfusion
Marcelo Febo	University of Florida	diffusion MRI, Alzheimers, amyloid
Igor Fedorov	University of California, San Diego	SPECT, image reconstruction, deep learning
Franklin Feingold	Stanford University	BIDS
Franklin Feingold	USC	Neuroinflmmation
Eden Feldman	New York University Medical Center	biomedical informatics
Anthony Fellows	Bristol Infirmary Hospital	Prediction, MCI, T1 MRI, FDG PET, T2
Grazia Daniela Femminella	Imperial College London	inflammation; atrophy; AD; MCI
Xinyang Feng	Columbia University	AD imaging biomarker
Zhichao Feng	The Third Xiangya Hospital of Central South University	fzc2018xyyx
Tao Feng	UIH America, Inc	PET resolution
Sheng Feng	Green Valley Research Institute	DNA Seq, GWAS, ApoE
Sheng Feng	AbbVie	ApoE, imaging biomarkers, clinical trial designs
Brad Feng	Capital Medidcal University	Deep Learning; Alzheimer Disease
Christine Fennema-Notestine	UCSD	MRI, thickness, morphometry, shape analysis, PET
darius Ferdows	Mindsquare	MRIs, Imaging,
Miguel Fernandes	Faculdade de Ciências e Tecnologia of Nova University of Lisbon	Classification
MIGUEL ANGEL Fernandez	University of Cadiz	PET, image, machine learning
Alberto Fernandez Pena	FIBHGM	dti, fmri, connectivity
Sara Fernandez Rodriguez-Cabello	University of Salzburg	aging, longitudinal, WMH, AD
Ricardo Ferrari	Federal University of São Carlos	image segmentation, contour models
Martino Ferrari	University of Geneva	Compressive Sensing, Compressive subsampling
Sebastiano Ferraris	University College London	Registration algorithm, diffeomorphisms, stationary velocity field
Francisco Ferreira	INESC-ID	machine learning, temporal mining, prognostic prediction, prognostic markers,
Hugo Ferreira	Faculty of Sciences of the University of Lisbon	Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Luiz Kobuti Ferreira	University of São Paulo	functional connectivity; resting state fMRI; aging
Diego Ferreira	UNIVERSIDADE FEDERAL DE SÃO CARLOS	neuropsychology; Psychology studies; Alzheimer
Constance Ferrero	sorbonne	thesis
Mark Fiecas	University of Minnesota	fMRI, connectivity, longitudinal
Manuel Fiel	IDIS	MRI. Nieman Pick
Cassidy Fiford	University College London, Institute of Neurology	white matter disease, vascular risk factors
Michal Figurski	University of Pennsylvannia	UPenn, Leslie Shaw
Massimo Filippi	San Raffaele Scientific Institute, Vita-Salute San Raffaele University	diagnosis; learning algorithm; 3D convolutions; multimodal MRI.
Teresa Filshtein	University of California, Davis	Alzheimer's Disease, biomarkers
Teresa Filshtein	University of California, San Francisco	genetics, Friday Harbor
Caleigh Findley	University of Colorado Colorado Springs	AD, MCI, APOE4, memory, executive functioning, tau
Elizabeth Finger	University of Western Ontario	NPI, MRI, PET
Tatiana Finley	Los Alamos National Laboratory	deep sparse coding, alzheimer's disease, early detection, multi-modal model
Sean Finn	Tekever	image processing quantification
Nicholas Firth	UCL	Event-based model
Christopher Fischer	Sanford Health	NA
Florian Fischer	Universtiy Medical Center Mainz	Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Jonathan Fisher	Harvard University	alzheimer
Simon Fitall	Galileo Analytics LLC	Data visualisation, data analytics, alzheimer's
Blair Fleet	Michigan State University	Image fusion, Alzhemier's, Sparse Representation, Evolutionary Computation
Greg Fleishman	LONI	IGC, LONI, PAUL THOMPSON, GREG FLEISHMAN
Evan Fletcher	UC Davis	Cognitive Reserve, Psychometrics Workshop
Darren Fletcher	Newcastle University	fMRI, brain activation, mathematics
Nicolas Florez	Uniandes	TADPOLE
Mateusz Florkow	UMC Utrecht	Virtual CT; Deep learning; Paired CT/MRI
Morgan Fogarty	Massachusetts General Hospital	FreeSurfer
Wai Yan Fok	Research Center for Medical Image Computing	segmentation; subcortical structures; severe brain damage; Alzheimer's disease
Nancy Foldi	Queens College - City University of New York	MTL, HIppocampus, serial position effect
Guilherme Fôlego	Universidade Estadual de Campinas	AD, ML
Mark Folkin	KPI	medical, surgery, operation, patient
Sabrina Fontanella	ICM	Neuroscience
Cynthia Forgeron	St. Francis Xavier University	machine, learning, biomarker, regions, of, interest
Erik Forkin	Epic	deep learning, machine learning, convolutional neural network
Myriam Fornage	University of Texas Health Science Center at Houston	Small Vessel Disease; brain MRI; white matter hyperintensity
Parisa Forouzannezhad	Florida International university	MCI, AD, Neuroimaging
Belén Fos Guarinos	QUIBIM	deep learning, medical imaging, diagnosis
Chris Foster	UT Dallas \| Center for Vital Longevity	Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Lauren Foster	University of Manchester	FLARE, T1W, hyperintensities
Panagiotis Fotiadis	Massachusetts General Hospital	atrophy; cerebral amyloid angiopathy; alzheimer's disease
Gregory Founshtein	The hebrew University and the Hadassah Ein Kerem medical center	Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Clementine Fourrier	ICM (Institut du Cerveau et de la Moelle Epiniere)	tadpole challenge
Benjamin Franc	University of California, San Francisco	PET, FDG, fluorodeoxyglucose, chemotherapy, brain, hypometabolism
Silvia Franchini	University of Palermo	Alzheimer disease, hippocampus, texture segmentation
Katja Franke	University Hospital Jena	BrainAGE, brain aging, biomarker, cognitive decay, prediction,
Mark Fraser	Australian National University	harmonized Hippocampal protocol, manual segmentation
Mark Frasier	Michael J Fox Foundation	CSF, biomarkers, neurodegeneration
Scott Fraundorf	Southern Illinois University Edwardsville	clustering
Blaise Frederick	McLean Hospital/Harvard Medical School	resting state, perfusion,
fernandho freitas	University Center of FEI	AD, feature extraction, wavelets
Escalin Frency J J	St.Xavier's Catholic College of Engineering	Alzheimer's disease
Stefan Frenzel	University Medicine Greifswald	Alzheimer Disease, Machine Learning, GWAS
Yun Freudenberg-Hua	Feinstein Institute of Medical Research	AD genetics, loss-of-function variants
Adam Freund	Calico Life Sciences	aging
Christian Freytes	Florida International University	alzheimers
Brad Friedman	Genentech, Inc.	bioinformatics genetics
Christoph M. Friedrich	University of Applied Science and Arts Dortmund	SNP subset selection
Lars Frings	University of Freiburg	PET; Amyloid; FDG; Medial Temporal Lobe
Giovanni Frisoni	IRCCS San Giovanni di Dio FBF - The National Center for Research and Care of Alz	ADNI EADNI
Holger Fröhlich	UCB	machine learning
Alexander Frolov	Stanford University Hospital & Clinics	Alzheimer's diseaese, biomarkers, tau, amyloid
Robert Frost	University of Utah	PET, atypical dementia, neuropsychology
Zhihui Fu	Shanghai Jiao Tong University	Alzheimer Disease, Convolutional Neural Network
jilian fu	Tianjin Medical University	GWAS,grey matter volume ,healthy aldult
Bin Fu	HKU	machine learning
yu fu	lanzhou university	longitudinal brain changes; MCI;AD
Tianyu Fu	BIT	registration
Tong Fu	MHH	AD, structure connectivity
Ling Fu	University of Shanghai for Science and Technology	Independent Component Analysis,ICA,FNC
Xianjun Fu	Shandong University of TCM	AD &TCM
ke fudao	Beihang University	kai6849868
Emmanuel Fuentes	Freelance	image processing
Motonobu Fujishima	National Center of Neurology and Psychiatry	differential diagnosis; Alzheimer's disease; FDG-PET; MRI
Brian Fulton-Howard	Icahn School of Medicine at Mount Sinai	PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS
Tsukasa Funane	Hitachi, Ltd.	AI, Machine learning
Cory Funk	Institute for Systems Biology	Alzheimer RNA-seq WGS
Jessica Fuselier	IUPUI	GWAS, Alzheimer's
NAGARJUNA REDDY G	KL UNIVERSITY, VIJAYAWADA	ALZHIEMERS, DEEP LEARNING
Anirudh G	Philips	MRI to CT
Terry Gaasterland	University of California San Diego	biomarkers, prediction, progression, early detection, neurodegeneration
Audrey Gabelle	Montpellier University Hospital	Amyloid, orexin, sleep
abdallah gad	misr university	AD-MCI-NC - machine learning - classification - feature extraction
Omer Gaddoura	Southeast University	fMRI, frequency specificity, Alzheimer’s disease
Jin Gahm	USC	Surface mapping
Chris Gaiteri	Rush University	networks coexpression
Niharika Gajawelli	USC	fMRI, MRI, AD, MCI,
Priya Gajjar	University of PIttsburgh	cingulum, uncinate fasciculus
MEHUL GAJWANI	UNSW	Student, machine learning, neuroscience
Caterina Galandra	School for advanced study IUSS-Pavia	Alcohol
Paola Galdi	University of Salerno	networks, multi-modal data, classification
Liisa Galea	University of British Columbia	APOE, Pregnancy, motherhood, hormone therapy, inflammation
Paul Gallins	NC State University	data integration neuroimaging genetic
Marian Galovic	UCL	longitudinal, epilepsy, progression
Marta Galvani	Università di Pavia	machine learning; classification; features selection
Amr Gamal	Faculty of Engineering, Alexandria University	Deep learning, Computer vision, TADPOLE
Dragan Gamberger	Rudjer Boskovic Institute	data clustering, subgroup discovery, intelligent data analysis
Hong Seng Gan	Universiti Kuala Lumpur	hippocampus Segmentation, Alzheimer's Disease, Random Walks
Gavin Gan	IIT	registration, dti
Wei Gan	National University of Singapore	Ensemble algorithms, Machine Learning, Combining classifiers, Con-tinuous
Lin Gan	Illinois Institute of Technology	DTI, image registration
amir hosein gandomi	sahand university of technology	traumatic brain injury, finite element method, 3d model
Rajeev Gangal	Saama Technololgies Inc	hadoop, ingestion, clinical, biomarker, images,outcomes
Umesh Gangishetti	Emory University	CSF, MRI,and PET biomarkers of neuro-inflammation in Alzheimer’s disease (AD)
Och Ganzorig	Inha university	ADNI
Yuyuan Gao	Guangdong General Hospital	Alzheimer’s disease; Biomarker; Blood; spinal fluid
Yuanyuan Gao	sothern medical university	PET MRI
Lei Gao	Neuroimaging and Informatics Institute	classroom exercises
Yufei Gao	Beijing Normal University	transfer learning, multimodal brain images analysis
Ming Gao	Qingdao University	hippocampus;texture characteristics; diagnose and treat effectively;AD based on
ruiqi Gao	Harbin Engineering University	research
Xiaohong Gao	Middlesex University	multi-modal classifier, fuzzy logic
Yurui Gao	Vanderbilt University	functional connectivity
Linlin Gao	Harbin Engineering University	corner matching, medical image, classification
Fei Gao	University of North Carolina at Chapel Hill	Biomarkers, Joint modeling
Yann Gao	-	deep learning
ju gao	Nanjing Brain Hospital	network
Xiao Gao	University of California, San Francisco	atrophy, cognition
Jingjing Gao	University of Electronic Science and Technology of China	early diagnsis of AD
Yang Gao	The University of Queensland	deep learning, undersampling
Fei Gao	Arizona State University	AD,MCI, Machine Learning
qu gaochao	Donghu	autism
Sara Garbarino	UCL	Network diffusion models
Gracian Garcia	Quiron	PET; SPM; templates
Jorge Garcia	UPM	MRI
Miguel Garcia	Boehringer-Ingelheim	historical controls, placebo, disease modelling
Tanya Garcia	Texas A&M University	T1-weighted MRI images; Cox regression; tensor covariates
Carlos García	Universidad Rey Juan Carlos	charlie1eso
Mireia Garcia Gaig	Universitat de Barcelona	PET
jorge Garcia Novoa	UPM	Brain
Alberto Garcia Salguero	University of Granada	Alzheimer
Mar Garcia Valero	Fundació Ace	Endophenotype study
Jord Garcia-Ojalvo	Universitat Pompeu Fabra	Brain dynamics, relaxation dynamics, potential landscapes.
Gaurav Garg	University of Ulster	Modeling, EEG, fMRI, Alzheimer's, AD
Valentina Garibotto	Geneva University Hospitals	FDG PET, tau, Ab42, CSF
Ángela Garrido Pascual	Universidad de Sevilla	medical digital image processing
Eduardo Garza-Villarreal	Instituto Nacional de Psiquiatria	diabetes, imaging genetics, neuroimaging
Fiona Gaskin	Open University	Alzheimers
Dimitris Gatsios	University of Ioannina	balance, cognition
Vincent Gaudet	University of Waterloo	iterative algorithms, belief propagation, stochastic computing
Serge Gauthier	McGill University	Imaging, Alzheimer's Disease, Brain Connectivity
Giovana Gavidia	Biomedical Engineering Research Centre (CREB) of UPC	Image processing, lineal mixed models, statistical inference, machine learning
Barzin Gavtash	Loughborough University	Nasal cavity - CFD - Drug delivery
Jodie Gawryluk	University of Victoria	white matter, MRI, DTI, cognition
S Gayathri	Bharathiar university	Alzheimer disease
xinting ge	LONI	Neuroimage
Tian Ge	Athinoula A. Martinos Center for Biomedical Imaging	neuroimaging genetics
xinting ge	LONI	hippocampal formation, brainstem
Hugo Geerts	In Silico Biosciences	Quantitative Systems Pharmacology
Claudio Gentili	University of Padova	SVM, Depression, Cognitive functions
Andrew Geoly	INI	TBM
Claudene George, MD, RPh	Albert Einstein College of Medicine	ACE Inhibitors, Dementia
Loraine Georgy	McGill University (Montreal Neurological Institute)	Cortical thickness; blindsight; hemispherectomy; lesions; visual systems
Richard Gerkin	Arizona State University	teaching
Neil Getty	ANL	tbi, transfer-learning, medical-image-analysis
Olivier Gevaert	Stanford University	deep learning multi-scale modeling
Mina Ghaffari	Macquarie University	PET MRI ASL T1W Deep Learning
vahid ghanbari	Amirkabir University of Technology	Alzheimer - deep learning
zahra ghanbari	Tehran University of Medical Science (TUMS)	Alzheimer, DTI, SES, hippocampus, memory, BMI
Ladan Ghazi-Saidi	Cleveland Clinic	Tau, cognitive decline, AD, biomarker, atrophy
Amirhossein Ghaznavi	Islamic Azad Science and research	data access, convolution nueral network
sailee ghodekar	K.J.Somaiya	brain
Reyhaneh Ghoreishiamiri	University of Alberta	Early diagnosis
Saikat Ghosh	university of Calcutta	mri,tumor
Kaushik Ghosh	University of Nevada Las Vegas	Bayesian analysis, tractography
Spandan Ghosh	Institute of Engineering and Management	Semantic Segmentation
SUKANTA GHOSH	JADAVPUR UNIVERSITY	detection of Alzheimer's Disease
Ankur Ghoshal	JU	Segmentation
Sukhmanjit Ghumman	University of Sherbrooke	rsfMRI FunctionalConnectivity Alzheimer's GraphTheory HubAnalysis
Luca Giancardo	University of Texas Health Science Centerat Houston	machine learning, longitudinal connectomes
Trung Giang	VNU University of Engineering and Technology	Alzheimer's Disease, MRI
Galetta Giannicola	Università di Milano	FDG PET Alzheimer
Laura Gibbons	University of Washington	Genetics, using ADNI data as a teaching example, Friday Harbor
karina Gibert	Universitat Politècnica de Catalunya-BarcelonaTech	predictive, data mining, intelligent decision support, classifiers, mixed metric
Gary Gibson	Weill Cornell Medical College	conversion
Lasse Giil	Haraldsplass Deaconess Hospital	Mild cognitive impairment; external validity
Jorge Mario Gil Valencia	Universidad Tecnológica de Pereira	DTI, Pain
Sascha Gill	University of Calgary	Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging,
Daniel Gillen	UC Irvine	Statistical Methods; Case-Cohort; Nested Case-Control; Survival Analysis, CSF
Alessandro Giordani	Università Cattolica del Sacro Cuore	epidemiological studies, risk factors
Joseph Giorgio	University of Cambridge	Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Tania Giovannetti	Temple University	functional abilities, informant
Diana Giraldo	Universidad Nacional de Colombia	Morphometric Analysis
Juan D. Gispert	Fundació Pasqual Maragall	Partial Volume Correction,
Giovanni Giulietti	IRCCS Santa Lucia Foundation	magnetic resonance, DTI, Alzheimer, mild cognitive impairment
Jesus Giunta	FCEN - UNCUYO	Deep learning
Kelly Glavin	University of Pittsburgh	alzheimers, tract, metrics
Brad Glazier	Indiana University	Imaging, Genetics, Biomarkers
Arnaud Gloaguen	Neurospin	Multi-way, CCA, Classification, Integration
Tanya Glozman	Stanford University	structural-MRI, geometric descriptors
M. Maria Glymour	UCSF	Friday Harbor; psychometrics; cognitive reserve; using ADNI data as a teaching e
Alison Goate	Icahn School of Medicine at Mount Sinai	Genetics, using ADNI data as a teaching example, Friday Harbor
Justin goding	UMass Medical School	Brain imaging, SPECT, XCAT
Martin Goettlich	University of Luebeck	morphometry hippocampus
Margarethe Goetz	Emory University	Genetics, using ADNI data as a teaching example, Friday Harbor
Sheng-Yang Goh	UCSF	frontotemporal dementia
Suril Gohel	School of Health Professions, Rutgers University	PET, MRI, Alzheimer
Dilek Goksel Duru	Istanbul Arel University	ANN, CNN, feature extraction, biomarker
Kelly Gola	UCSF	Depression, Empathy, Anxiety
Soroosh Golbabaei	university of tehran	alzheimer disease, Mild Cognitive Impairement, Connectome, Graph Analysis
Daniel Golden	Arterys	machine learning, segmentation
Danielle Goldfarb	Banner Alzheimer's Institute	sleep, ventriculomegaly
Felicia Goldstein	Emory University	task engagement, recognition memory, normal cognition, MCI, AD
Sepehr Golrizkhatami	Fraunhofer Institute	Event-based modeling, mechanism validation
Jesus Gomar	Northwell Health	Amyloid PET
Sara Gomes	FEUP	Alzheimer, Image analysis
Rodrigo Gomes de Souza	UFPE	machine learning; azlheimer; early diagnosis
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
Aracely Gomez Lizaga	Universidad de Zaragoza	class work, university, TADPOLE
Martin Gomez Ravetti	Federal University of Minas Gerais	multiplex networks, difussion
Vanessa Gomez-Verdejo	Universidad Carlos III de Madrid	machine learning, mri
Enhao Gong	STANFORD UNIVERSITY	Deep Learning, Compressed Sensing
Kuang Gong	Massachusetts General Hospital	Partial volume correction PET
zhaoxuan gong	shenyang aerospace university	segmentation
Shi Gongming	Beijing University of Technology	MCI,AD.
Julie Gonneaud	McGill University	Family history, Alzheimer's Disease, Biomarker, Preclinical
Camila Gonzalez	TU Darmstadt	Tadpole Challenge
Gerardo Gonzalez	University College London	AD, Big data, Automated anomaly detection
Clio Gonzalez	University of Southern California	Genetics, Neuroimaging
Gabriel Gonzalez-Escamilla	University Medical Center of the Johannes Gutenberg-University Mainz	Aging, neurodegeneration
Consuelo Gonzalo Martin	Universidad Politécnica de Madrid	Dementia, Alzheimer, image biomarkers
James Goodman	Oregon Health and Science University	Cerebrospinal fluid
Janakasudha Gopalan	Sri Venkateswara College of Engineering	Image analysis, Machine learning
Janakasudha Gopalan	Sri Venkateswara College of Engineering	Alzheimer's Disease, Brain image analysis, machine learning and deep learning
Andrew Gordon	Data Analytics Labs	AD, predictive analysis, advanced analytics, clinical trials
Pietro Gori	Télécom ParisTech	T1, DWI, statistical shape analysis, education
Richard Gorniak	Thomas Jefferson University	MRI, convolutional neural networks, medial temporal sclerosis
Juan Manuel Gorriz	University of Granada	Image processing, Random forest
Dorothy Gors	Kuleuven	multivariate analyze, imaging genetics
Saransh Goswami	IIT BHU varanasi	sg
Mattias Göthlin	University of Gothenburg, Institute of Neuroscience and Physiology	Classification, prognostic accuracy, demography
Jens Göttler	Klinikum rechts der Isar, Technische Universität München	resting state fMRI, FC, perfusion, ASL, metabolism, FDG, amyloid
Assaf Gottlieb	UTHealth	AD, FTD
Xanthippi Gounari	University of Strathclyde Glasgow	ADL, MRI scans, AD, MCI
Daniel Gourdeau	Université Laval	Radiomics,AD prognosis, machine-learning, texture analysis
William Goure	Acumen Pharmaceuticals, Inc.	soluble Aβ oligomers, CSF Biomarker, pre-analytical variables, TBI
Ankit Goyal	Stanford U	Brain MRI
John Graf	GE Global Research	kinetic system risk model PBPK BioDMET
Ariel Graff	Universtity of Toronto	depression, amyloid, PET
Neil Graham	Imperial College London	TBI neurodegeneration atrophy
Jinko Graham	Simon Fraser University	multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Leah Graham	The Jackson Laboratory	Diffusion tensory imaging, myelin, obesity, cognition
Kamil Grajski	Nurosci, LLC	Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP
Marilyn Grand'Maison	Biospective	PET, MRI, Alzheimer's, Cortical Thickness, AV45
Nicole Grant	University of Victoria	Depression Scores, Structural Scans, Atrophy, cortical differences
Massimiliano Grassi	Villa San Benedetto Menni Hospital	Machine Learning, Conversion to Alzheimer's Disease, MCI
Elena Grassi	University of Turin	eQTL, GWAS, transcription factors
Katherine Gray	Imperial College London	Alzheimer's disease; early diagnosis
Elisabetta Grecchi	GE healthcare	AD, amyloid, prediction
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
Steven Greening	Louisiana State University	cognition; cognitive neuroscience; affect
David Greenstein	Multimodal Imaging Services Corporation	Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's
Bryson Greenwood	Blinn	Alzheimer's, Principle Component Analysis, Data Mining
Daryl Greer	Harvard University	Education
Johannes Gregori	mediri - medical imaging research institute	MRI, ASL, PET
Michael Gregory	NIH	neuroimaging
Michael Greicius	Stanford University	genes, structure
Douglas Greve	MGH	PET
Jason Griffin	University of Colorado, Colorado Springs	Alzheimer's disease, mild cognitive impairment, serial position effect, learning
Joshua Grill	UC Irvine	informant
Stefano Giuseppe Grisanti	University Of Genoa	alzheimer cognitive reserve
Stefan Grivalsky	STU FIIT (SK)	machine learning, computer vision, medical image processing
Vince Grolmusz	Eotvos University	vertex connectivity, edge connectivity, network flows
Colin Groot	VU University medical center	Alzheimer's disease, Voxel-based morphometry, psychometrics
Perry Groot	Radboud University Nijmegen	causal
Irme Groothuis	University College London	microbleeds, deep learning
Alden Gross	Johns Hopkins Bloomberg School of Public Health	Genetics, using ADNI data as a teaching example, Friday Harbor
Matthew Gruen	NYU School of Medicine	Alzheimer's Anxiety MRI Hippocampus
Arne Grundstad	AbbVie	AbbVie ADNI
Jiena Gu	Kansas State University	Biomarkers ADNI
Zhengguo Gu	Tilburg University	bigdata, multi-block data, regularized simultaneous component analysis
haifeng gu	Nantong University	deep learning
DONG GU	HNU	DIR
ginam gu	Kyung-hee university	Alzeheimer's disease
Yuanfang Guan	University of Michigan	manuscript submission
cihey guan	University of Electronic Science and Technology of China	rsfmri
Cecilia Guariglia	Università Sapienza	dementia, cerebellum, mri
santwana gudadhe	PCCOE	alzheimer disease
Xavier Guell Paradis	Massachusetts Institute of Technology	cerebellum
Tobias Guennel	Precision for Medicine	MCI, socioeconomic impact of AD, genetic risk signatures
Laura Guerrier	INSERM	Benson syndrom
Pamela Guevara	University of Concepción	white matter bundles, anatomy, machine learning
Mauricio Guevara-Souza	ITESM	tadpole
Barry Guglielmo	Harvard University, T.H. Chan School of Public Health	Deep Learning, Alzheimer's, biomarkers
Pratim Guha Niyogi	Michigan State University	Statistical Models
Abhijit Guha Roy	Technical University of Munich	Deep Learning
Roberto Guidotti	University of Chieti-Pescara	deep learning, mri, neural networks
Vincent Guillemot	Institut Pasteur	resting state ; MDS
Jérémy Guillon	ICM	brain connectivity, graph analysis
Abel Guimaraes	Ryerson	deep learning, Alzheimer’s Disease
Leonardo Guimaraes	Leo Tec	Machine Learning
sharvari gujja	Wuxi NextCODE	machine learning, deep learning, genetic drivers
Gaurav Gulati	The NorthCap University	Brain, A
SARITA GULIA	BANASTHALI UNIVERISTY RAJASTHAN	ADNI, AD , BRAIN , MRI
Melisa Gumus	University of Toronto	Computational Neuroscience, Modelling Alzheimer's Disease, COBWEB
TAMIL INIYAN GUNASEKARAN	Chosun University	Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease
TAMIL INIYAN GUNASEKARAN	Chosun University	SNP, GWAS, MRI, pathogenesis, neuronal damage.
Nishan Gunawardena	University of Colombo	Alzheimer’s Disease, Pre-detection, MRI data, image processing
Roger Gunn	Imperial College London	Mathematical Analysis, Classification, Machine Learning
weiping guo	Beijing Normal University	fmri,alzheimer
Tong Yu Guo	NorthEastern University	deep learning
Yanzhi Guo	Sichuan University	deep learning, Alzheimer's disease, computer-aided therapy
YAXUAN GUO	Hong Kong Baptist University	analysis
yi guo	tongji university	ASL;MRA;Alzheimer's disease
Yusheng Guo	South China University of Technology	asd123....
DANFENG GUO	CURACLOUD CORP	Deep learning
Yanrong Guo	Hefei University of Technology	classification , neuroimaging
Ying Guo	Emory University	statistical learning, longitudinal analysis, integrative analysis
Xiao Guo	University of Science and Technology of China	semiparametric model, related error process
Ma Guo zhao	Shandong Provincial Qianfoshan Hispotial	maguozhao
Kavya Gupta	IIITD	Reconstruction
Anubha Gupta	IIIT-Delhi	fMRI
Navin Gupta	Indian Institute of Technology, Guwahati	clinical subtyping, data driven, symptoms, independent component analysis
Aayush Gupta	SHS	MRI, CT, Generative Adversarial Neural Network.
Yubraj Gupta	Chosun university	CNN, Alzheimer disease
Aarzu Gupta	UCSF	Alzheimer's, gender
Rijul Gupta	Yale	data, analytics
Vinay Gupta	University of Manitoba	Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Akansh Gupta	graphic era university	research
gaurav gupta	Shoolini University	Alzheimer image segmentation machine learning
SHLOMIT GUR	Penn State University	Evolving functional connectivity analysis, machine learning, graph theory
Ashita Gurnani	University of Colorado at Colorado Springs	dementia, Alzheimer's disease, differential diagnosis
Mahmut Edip Gurol	Massachusetts General Hospital	CAA, cortical thickness, controls, AD
Jessica Gutierrez	1995	machine learning; predictions;
Benjamin Gutierrez Becker	Herr	AD, MCI, Deep Learning, Early Prediction
Boris Gutman	University of Southern California	DTI, diffusion MRI, Alzheimer's, human connectome
Alex Gutteridge	GSK	metabolomics, biomarker
Holly Guvenli	Okan University	MCI, fMRI, entorhinal cortex, hippocampus
wang h	qfnu	research
Q H	Southern Medical University	multi-modality, radiomics
Ewart Haacke	Magnetic Resonance Innovations, Inc.	Susceptibility Weighted Imaging (SWI), Gradient Echo, phase and magnitude.
Miriam Haaksma	Radboudumc	prognostic model; external validation
MARYAM HABADI	UNIVERSITY OF SOUTH FLORIDA	Statistical Modeling for Alzheimer’s Disease
Christian Habeck	Columbia Un	multivariate analysis, ROC curve, replication
Mohamad Habes	University of Pennsylvania	AD-like patterns, Brain Aging, White Matter Hyperintensities
Mallory Hacker	Vanderbilt University Medical Center	PDRP, PDCP, ADRP, FDG-PET
Adva Hadar	Tel Aviv University, Sackler School of Medicine	Alzheimer diseae, biomarkers
mohsen hadi	shahid beheshti university of tehran	alzheimer
Ravi Hadimani	Virginia Commonwealth University	Anatomically realistic head models, 3D head models, Brain phantoms
Pieris Hadjinastasi	University of Cyprus	MRI, alzheimer
Yang Hai	Central South University	pre-trai, research
Thaddeus Haight	UC Berkeley	path analysis; amyloid; FDG-PET; longitudinal study
wu haitao	University of Chinese Academy of Sciences	wht2631342
Jiang Haitao	USTC	None
Wang Haixing	Southeast University	image analysis
Noushin Hajarolasvadi	Eastern Mediterranean University	Alzheimer's disease, voxel-based morphometry, classification
ihab Hajjar	Emory Univeristy	inflmmationDTI
Rima Hajjo	UNC Chapel Hill	Alzheimer's disease, publication, visting scientist, UNC-Chapel Hill Research
hamid hakim	Amirkabir	Functional connectivity , fMRI
zahra hakimelahi	islamic azad university tehran branch	idea-alzheimer's disease
Jonathan Hakun	Pennsylvania State University	T2DM MCI AD DMN insulin resistance
Omar Halawa	Harvard Medical School	IADL, neuropsychiatric symptoms, tau PET
Lin Hall	Green Valley Pharmaceutical LLC	test and develop
Anette Hall	University of Eastern Finland	Alzheimer’s disease, MCI, MRI, CSF, Computer-assisted diagnosis
Drew Halliday	University of Victoria	DTI, neuropsychology
Kevin Hallock	Pfizer	Modeling, biomarkers
Leontine Ham	Erasmus Medical Centre Rotterdam	Alzheimer, vascular dementia, disease modeling, biomarkers
Brahim HAMADI CHAREF	Data Storage Institute	Alzheimer’s Disease, Deep Learning, ROC curve
Shah Muhammad Hamdi	Georgia State University	functional brain networks, mildly cognitive impairment, graph data mining
Rubi Hammer	Assaf HaRoffe Hospital	Aging
Tyler Hammond	The University of Kentucky	cognitive reserve, Alzheimer disease, aging, DTI, MRI
Deng-Yu Han	National Taiwan University Hospital	nighttime behavior; sleepiness; beta-amyloid; PET.
Xiaoxia Han	NYU	GWAS, modeling, prediction
HioBeen Han	KAIST	None
qiu han	The Affiliated Huaian Hospital of Xuzhou Medical University	PLXNA4, Alzheimer’s disease, amyloid-β, correlation
Joo Yoon Han	University of Washington	Statistical analysis with brain imaging data
Peipei Han	Southeast University	cognitive test data
Liang Han	Chongqing University	early detection, MRI, MCI, AD, Artificial Intelligence
Hongjuan Han	Shanxi Medical University	AD data
Shizhong Han	The University of Iowa	GWAS, heritability, sMRI, and fMRI
Duke Han	USC	cognition, neuroimaging
Palak Handa	Mody University of Science and Technology	research
Robert Handsaker	Broad Institute	copy number variation, disease association
Ihor Handziuk	Taras Shevchenko National University of Kyiv	altzheimer's disease, mri, classification, study
Francis Hane	Lakehead University	AD prediction, APOE4, Bayesian
Alexandru Hanganu	University of Montreal	T1, fMRI, rsfMRI, DTI
sahar hanifi	Amirkabir University of Technology	datamining - MRI
Bernard Hanseeuw	Massachusetts General Hospital	Striatum hippocampus
Adam Hansen	University of Minnesota	fMRI
Maria Hansen	Technische Hochschule Mittelhessen	Alzheimer's Disease, Neuronal Networks
Kevin Hanson	University of Florida	Machine learning, prediction, TBI, APOE, biomarkers
Srinath Hanumantha Rao	BITS Pilani University	Neural Networks, Image Processing
SOURABH HANWAT	Christ university bangalore	image processing
Zhiying Hao	University of Electronic Science and Technology of China	machine learning ; medical image processing
Meiling Hao	Princess Margaret Cancer Center	MRI, PET, fMRI
Wang Hao	Tianjin University	image processing ;machine learning;computer aided system
wang Haodong	Northwestern Polytechnical University	6560065
Sun Haonan	Northeastern University	Alzheimer's disease
Clara Happ	Ludwig-Maximilians-University Munich	Functional Data Analysis, Functional Principal Component Analysis
Rafi Haque	Emory University	Alzheimer's, Biomarkers, Cognitive Asessments
Reduan Haque	JU	Cancer, Prostate
Oscar Harari	Washington University in St Louis	Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau
Bermal harman	cukurova university	yes
deidre harp	AU	late-life depression
deidre harp	AU	late life depression
David Harper	McLean Hospital	Alzheimer's disease, blood flow, Cerebrovascular Reactivity
Amal Harrati	Stanford University	Genetics, using ADNI data as a teaching example, Friday Harbor
Michael Harrington	Huntington Medical Research Institutes	Preclinical AD, neurodegeneration, MRI, CSF, amyloid
Jacqueline Harris	University of Calgary	Machine Learning, Neuroimaging, Psychiatry
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
Danielle Harvey	Unversity of California, Davis	biostatistics
Krysten Harvey	Vanderbilt University	Machine learning, neural network
Omar Hasan	McGovern Medical School	Brain Volumetry, Axonal Integrity, Diffuse Tensor Imaging, Cloud Imaging
Khader Hasan	University of Texas Health Science Center at Houston	diffusion tensor, CSF
MD RAIFUL HASAN	The University of Southern Mississippi	Alzheimer, Deep Learning
zeinab hasanvand	Islamic Azad University Central Tehran Branch	Alzheimer"sdisease, structural MRI, calssification
moaied hassan	university of scince and technologu	Mri
Basma Hassan	Faculty of Engineering-Cairo University	Image Registration
MOHAMED Hassan	Deakin University	ADPOLE
Younes Hassani Abdollahi	IASBS	AD, Alzheimer's
Hamid Reza Hassanzadeh	Georgia Institute of Tech	Deep Learning, Multi-modal prediction
Oktie Hassanzadeh	IBM	data analytics research
Jason Hassenstab	Washington University in St. Louis	Genetics, using ADNI data as a teaching example, Friday Harbor
Nikki Hatamian	University of California, Irvine	diabetes, Alzheimer's, hippocampus, cortical atrophy
Sean Hatton	UCSD	MRI, data harmonization
Ghazal Havoutis	Nova Southeastern University	biomarker, diagnostic performance, Alzheimer's detection, MCI
Toshihiro Hayashi	University of Tokyo	MRI, psychology, biomarker
Jasmeet Hayes	VA Boston Healthcare System	Cortical Thickness
Scott Hayton	BGC3	Integration
joydev hazra	Heritage institute of technology	prediction
Linchen He	New york university	Association test, binomial mixture model, complex disease, genetic heterogeneity
Tianshe He	UNC CHapel Hill	community detection, networks, clustering
Huiguang He	Institute of Automation, Chinese Academy of Scicences	fMRI, DTI, Medical Image Processing
Jishuai He	Northeastern University Of China	personal study purpose
Qiong He	Zhongshan Hospital, Fudan University	cerebral metabolism,PET-CT,AD
Lianghua He	Tongji University	deep learning, RNN, LTSM
Jie He	Ohio State University	alzheimer's disease, amyloid beat
Lei He	Sun Yat-sen Memorial hospital	Alzheimer's disease
Yao He	University of Utah	PET, FDG-PET, Focal AD
zhi he	SYSU	classification
roh hedayati	Esfahan University	MCI+MRI+PET
Trey Hedden	Massachusetts General Hospital	Genetics, using ADNI data as a teaching example, Friday Harbor
Mohamed Hefny	Queen's University	Medical Data Analysis, MUltisource data integration, Disease Understanding
serve heidari	SBMU	fMRI
Elisa Heinrich Mora	Hanyang University	WMH Normal cognition subcortical vascular cognitive impairment individuals
Ali Hejazizo	University of Alberta	machine learning
arash hemmati	amirkabir university	fMRI, machine learning
Dion Henare	University of Auckland	Harmonized Hippocampal Protocol Training
Samuel Henderson	Accera Inc	APOE, ADAS-Cog, MMSE
Judith Henf	University Medicine Rostock	cognitive reserve, hippocampal MD, healthy older adults
Rui Henriques	Instituto Superior Técnico, Universidade de Lisboa	Classification, Clustering
Adriane Henriques	Universidade de Brasília	Alzheimer disease, CSF, imaging, biomarker
Claudio Henriquez	University of Manchester	Alzheimer disease, MRI, PET, QDA, LDA, automatic diagnosis
Paul Herent	Owkin	#Brain age prediction #deep learning #CNN #machine learning #MRI
Lindsey Hergesheimer	USC- KSOM	data visualization
Lindsey Hergesheimer	USC- Keck School of Medicine	ADNI
Samuel Hernandez	Weill Cornell	Blood, 850k, bisulfite sequencing
Monica Hernandez	University of Zaragoza	Computational Anatomy
Hernan Hernandez	Concepcion University	MRI, fMRI, dFMI, Ph.D
Raidel Hernandez	Florida State University	Training a convolutional neural network to recognize types of brain damage
Luis Herrera	University of Granada	Deep Learning, Convolutional Neural Networks
Nitsa Herzog	Birkbeck University of London	Mild cognitive impairment, Alzheimer
Nitsa Herzog	Birkbeck University of London	MCI, Alzheimer, machine learning
Jonathan Hess	SUNY Upstate Medical University	Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett	University of Bordeaux	Patch-based biomarkers, hippocampus, hippocampal subfields
Kelsey Hewitt	Mercer University	Education, Depression
Derrek Hibar	Janssen R&D	PET, PIB, AV45
Brennan Hickson	University of Texas at Austin	aging, dementia, alzheimer's disease, neurodegeneration
Keigo Hikishima	Okinawa Institute of Science and Technology	Preclinical MRI
Steven Hill	University of Cambridge	risk stratification, risk prediction, statistical methods
James Hill	Northwestern University	Predicting Brain Age, Predictive Models,A lzheimer Detection, Brain Disorders
Tanisha Hill-Jarrett	University of Michigan	cognitive reserve, using ADNI data as a teaching example, psychometrics workshop
Frank Hillary	Pennsylvania State University	hyperconnectivity, MCI, risk, neurodegeneration
Jade Hind	Liverpool John Moores University	Symptom Association Analysis; Depression; Delusions
Adnan Hirad	University of Rochester	oculomotor dysfunction
DAISUKE HIRAHARA	Kagoshima Medical Technology College	Algorithm
Toru Hironaka	Massachusetts General Hospital	Machine learning
Robin Hirt	KIT	deep learning, transfer learning, artificial intelligence
Dylan Ho	CUHK	Atlas, AD, Asia
Ngoc-Huynh Ho	Chonnam National University	Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
Jelte Hoekstra	GoDataDriven	alzheimer, explainability, cnn
John Hoffman	University of Utah	FDG-PET, SPM group analysis
Malte Hoffmann	Martinos Center	longitudinal morphometry Freesurfer
Stefan Hoffmann	Friedrich Schiller University	medical image fusion, deep learning feature selection
Carl Hoh	University of California, San Diego	MRI segmentation, principal component analysis, PET brain quantification
Timothy Hohman	Vanderbilt University School of Medicine	Genetics, Resilience, Asymptomatic,
Richard Hoile	Brighton and Sussex Medical School	dementia
Inés Hojas García-Plaza	CIEN Fundation	coverters
hani hojjati	Babol university of technology	MCI, converter, nonconverter
Daniel Holder	Merck Research Laboratories	Biomarkers
Jess Holguin (OTD... not PhD)	University of Southern California	neuroimaging informatics genetics
Shivarama Holla K	National Institute of Technology Karnataka	PET, SPECT, medical images
Robin Holmes	University Hospitals Bristol	Machine learning, VBM
Marcia Hon	Ryerson University	Alzheimer's, Machine Learning
yi hong	the University of Hong Kong	fMRI ADHD
Chae Moon Hong	Kyungpook National University Hospital	Amyloid, Alzheimer, white matter hyper intensity
zou hongliang	Nanjing University of Science and Technology	research
Guo Hongyu	SC University	Medical image processing
Joost Hop	University of Groningen	MRI CT brain phantom
Emrin Horgusluoglu-Moloch	Mount Sinai Medical School	Genetics, using ADNI data as a teaching example, Friday Harbor
Russ Hornbeck	Wash Univ Sch Med - STL	Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
Kyla-Louise Horne	University of Otago	Parkinson's disease, MRI, ageing, machine learning, biomarkers
Steve Horvath	University of California Los Angeles	DNA methylation, SNP, epigenetic age, epigenetic clock, brain volume, MRI
Mohammad Arif Hossain	East Delta University	Alzheimer disease
Hadi Hosseini	Stanford University	big data, prediction
Beibei Hou	Beijing University of Posts and Telecommunications	Medical image analysis
Katherine Houghton	RTI Health Solutions	biomarker, natural history, cost effectiveness
Richard Houghton	F.Hoffmann - La Roche Ltd	prodromal safety
Marion Houot	APHP	course statistics
Erin Householder	Washington University School of Medicine	: As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
Naomi Hoven	Tilburg University	thesis, master
James Howlett	Medical Research Council	EPAD Risk Modelling
Will Hsia	Tsinghua University	deep learning, segmentation
Ing-Tsung Hsiao	Chang Gung University	Feature Extraction; Early Diagnosis
Jasmine Hsiao	ACER	cognitive frailty
Owen Hsu	Wistron	image processing, cluster, pipeline
Li-Ming Hsu	UNC at chapel hill	gaphy theory, machine learning
Chih-Chin Hsu	National Yang Ming Uniersity	lifespan, diffusion, sex difference
Eugene Hsu	Massachusetts General Hospital	fMRI Downs MCI AD
Hsiang Hsu	Harvard	stage (normal, MCI, or AD), cognitive tests
Ai-Ling Hsu	National Taiwan University	thalamus, functional connectivity
Helen Hu	C2N Diagnostics, LLC	fluid biomarkers
Edgar Hu	East China Normal University	Sky8023seA
Tom Hu	UC Berkeley	CNN, Tensor, Regression, Deep Learning
Lingjing Hu	Capital Medical University	Texture analyze, VBM
Richard Hu	Amgen, Inc	Biomarker
Haimeng Hu	Huashan Hospital, Fudan University, Shanghai, China	hippocampal volume standard
Yongli Hu	Institute for Infocomm Research	heterogeneous analytics, patient stratification
Jianping Hu	Fujian meidcal university	ASL
Weichu Hu	Nanchang University	deeplearning GAN
QIntao Hu	UCAS	Alzheimer disease
Shuwen Hu	Queensland University of Technology	Longitudinal Machine Learning Method
Kun Hu	Shanghai Jiao Tong University	machine learning, auto-diagnosis
Nan Hu	Genentech	biomarker; disease progression
xiaoyu hu	peking university	fpca
Rui Hua	Southeast University	deep learning,multimodal imaging,CNN
Tao Hua	Huashan hospital, Fudan university	Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Fei Hua	Applied Biomath	Alzheimer's Disease, mechanistic model, Abeta
Liang hualin	Tianjin Polytechnic University	MCI
Tao Huan	The Scripps Research Institute	metabolomics
Yechong Huang	Fudan University	MRI, Machine Learning, AD, MCI
Peiyu Huang	Zhejiang University	CBF, network
Edward Huang	University of Illinois at Urbana-Champaign	Network integration, EMR analysis
Yechong Huang	Fudan University	MCI, Machine Learning
Yu-Hao Huang	National Taiwan University	VGG16, transfer learning, Resnet
Meiyan Huang	Southern Medical University	association anlysis
He Huang	Lehigh University	3D skull Stripping
Jenny Huang	cyagen	AI Medical image
Xudong Huang	Massachusetts General Hospital	ICA, Biomarker, Alzheimer, MRI, PET
Baron Huang	Northwestern Polytechnical University	Deep learning,Recognition,MRI,Hippocampus
Sikai Huang	Columbia University	ALzheimer's Disease; Deep learning
Yuhan Huang	National Cheng Kung University	Alzheimer's disease, Data mining
Zhiyue Huang	MRC	composite
Biwei Huang	Carnegie Mellon University	Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
Yunyou Huang	Institute of Computing Technology, Chinese Academy of Sciences	classify, predict, Alzheimer's disease
Chin-Wei Huang	National Cheng Kung University	alzheimer's disease
Hsiao-Chen Huang	UCSD	brain image, VR, rendering
Haiqing Huang	University of Pittsburgh	amyloid, PET
Chao Huang	UNC	multiscale adaptive regression model shape analysis
YUE HUANG	XIAMEN UNIVERSITY	MACHINE LEARNING, DEEP LEARNING, MEDICAL IMAGE ANALYSIS VALIDATION
Jiashuang Huang	NUAA	medical imaging;TADPOLE
yi huang	institute of automation, Chinese academy of sciences	waite
Li Huang	Institution	123456
Edward Huey	Columbia University	NPI, agitation, Alzheimer's disease
Andrew Hufton	Springer Nature	data-peer-review metabolomics
Nick Hughes	Touch Surgery	MRI, Augmented Reality, Education.
Jasmine Hughes	Insight Data Science	machine learning
Willem Huijbers	Tilburg University	methods development, data science
Sjoerd Huisman	Delft University of Technology	imaging genetics, gene expression, bioinformatics, biostatistics
Stanley Hum	Montreal Neurological Institute and Hospital	Rasch analysis olfactory cognitive imaging
Noemi Hummel	Analytica Laser	disease modelling
Na-Teng Hung	University of Illinois at Urbana Champaign	computation
Xin Hunt	SAS Institute Inc.	machine learning, transfer learning, predictive model
Shu Huo	University of California, Santa Cruz	Bayesian data analysis, rsfMRI, connectivity
Zhiguang Huo	University of Florida	statistical methodology, clustering algorithm, Alzheimer’s disease subtypes
Zhiguang Huo	University of Pittsburgh	Alzheimer's disease, metabolomics
Hans-Jürgen Huppertz	Swiss Epilepsy Centre	MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
Aamira Huq	University of Melbourne/ Royal Melbourne Hospital	Dementia polygenic risk score, resilience
Vojtech Huser	National Institute of Health	clinical research informatics, common data elements, data science
Rowina Hussainali	Indiana university	Demographic Neurocognitive
R. Matthew Hutchison	Biogen	Tau, Amyloid, functional connectivity, brain dynamics
Alexandre Hutton	McGill University	machine learning, prediction
Kevin Huynh	Baker Heart and Diabetes Institute	lipidomics, metabolomics
Jaeuk Hwang	University of Utah	brain age
Jihye Hwang	Asan medical center	time analysis
Jung Keun Hyun	Dankook Univ	Traumatic brain injury; spinal cord injury
JUNGMOON HYUN	Northwestern University- Feinberg School of Medicine	Aging, dementia, brain, clinical data
Febin I P	NITK, Surathkal, India	restoration
Leonardo Iaccarino	University of California San Francisco	dementia, age, clinical progression, MRI, FDG-PET, diagnosis, prognosis
alfredo iacoangeli	king's college London	telomere, bioinformatics , NGS , WGS
Krystal Iacopetta	University of Adelaide	Neurodegenerative Disease, neuroinflammation, vitamin D
Victoria Ibañez	University Jaume I	Statistics,image analysis, neurology
Esther Ibanez	ISI Foundation	topological data analysis
Aliaa Ibnidris	University of Geneva	MCI, AD, Hippocampal atrophy
Osamu Ichikawa	Icahn school of medicine at Mount Sinai	validation
ilknur icke	boston university	MRI data analysis, machine learning
Samuel Iddi	Alzheimer's Therapeutic Research Institute of USC	ADNI, TADPOLE, Alzheimer's
Kayoko Ide	LinkGenomics	Amyloid PET
Alexandru Iftimie	Politehnica University of Bucharest	Dep learning
Takuma Igarashi	Toshiba Medical Systems Corporation	Volumetry, multi-contrast analysis
Juan Eugenio Iglesias	Massachusetts General Hospital, Harvard Medical School	hippocampal subfield, segmentation
Kay Igwe	Columbia University	WMH, Spectrum, MRS, MRI
Ryoko Ihara	The University of Tokyo	preclinical AD, amyloid PET, CSF biomarker, clinical outcome
Tetsuya Iidaka	Nagoya University, Graduate School of Medicine	resting state, support vector machine
HAOUAS IKBEL	ENISo	ALZHEIMER
Otto Ikome	Jackson Sate University	Social determinants
Toshikazu Ikuta	University of Mississippi	DTI; tractography; genetics
Cecilia Im	University of California San Francisco	3D Printing
rajkumar imatiz	VTU	Alzheimer's disease, ADNI
Murali Krishna Immadi	Potti Sriramulu Chalavadi Mallikarjuna Rao Engg college	high dimensional Alzheimer’s disease databases,classification,severity
Shah Imran	Dhaka University of Engineering and Technology	thesis
Umer Imran	National University of Sciences and Technology (NUST)	145236
Philip Insel	NCIRE	power, rates of change
Azzurra Invernizzi	University of Groningen	Glaucoma subjects
Darius Ionut	UVT	python
Michael Iorga	Northwestern University	brain extraction, skull stripping, neural networks, machine learning
ana-maria iosif	University of California Davis	Neuropsychiatric Inventory, severity, longitudinal, informative cluster size
Nancy Ip	The Hong Kong University of Science and Technology	synapse, cell surface receptors, kinase
ms iraji	pnu	neural network
Sierra Irizarry	Rhode Island Hospital	New hire
David Irwin	University of Pennsylvania	UDS, GWAS
Mariano Isaza	Universidad EAFIT	Thesis, image processing
Mrinal Ishant	Artelus	machine leaning
Manabu Ishida	ERISA Co., Ltd.	Alzheimer's Disease, MCI, Machine Learning, 3D Convolutional Neural Network
Makoto Ishii	Weill Cornell Medical College	biomarkers, metabolic hormones, preclinical
Daisuke Ishii	Jenio Inc.	team ai
Kenji Ishii	Tokyo Metropolitan Institute of Gerontology	J-ADNI, PET, MRI
David Iskander	mapd	medical data
Jyoti Islam	Georgia State University	fMRI, Alzheimer’s Disease, Deep learning, CNN
Mazharul Islam	RCC Institute of Information Technology	ADNI database
Aya Ismail	University of Maryland	Machine learning , classification
BOUKLI HACENE Ismail	Tlemcen university	alzheimer, ADNI,PET,IRM
Victor Ernesto Issa Garcia	Columbia University Medical Center Taub Institute	BEaST
Elvin Isufi	Tu Delft	detecting anomalies over networks
Hirotaka Iwaki	National Institute on Aging, National Institutes of	GWAS
Yutaro Iwamoto	Ritsumeikan University	segmentation, image restoration, unsupervised learning
Atsushi Iwata	The University of Tokyo	J-ADNI
Walter Izquierdo	Florida International University	BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
ALPHIN J	iiit	Longitudnal data model
dheeba J	Vellore institute of technology	machine learning
Akhila J A	Institute of Human Resources Development	Dementia
Emimal Jabason	Concordia University	Alzheimer. ADNI, Medical Image processing
amir jaberzadeh	usc	Hippocampus, thalamus, multiple sclerosis, MRI, 3DT1-weighted images
shen jack	zjut	image segmentation
yu jack	University Of Electronic Science And Technology Of China	deep learning,Recurrent neural network,AD
sv jack	individual	MRI
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
David Jacobs	University at Buffalo	big data; neural net model; clinical epidemiology
Nina Jacobsen	Aalborg University	Hippocampus, CNN
Jörn Jacobsen	University of Amsterdam	Computer Vision, Bag of Words, Fisher, Machine Learning
Tanner Jacobson	Indiana University School of Medicine	GWAS, Multivariate
Thomas Jacquemont	Institut du Cerveau et de la Moelle	Alzheimer, SNAPs, DWI, connectomics
Nerline Jacques	Georgia State University	hippocampal atrophy, beta-Amyloid, tau, Family History.
Vaishnavi Jadhav	Indiana University School of Medicine	DTI MRI Tau PET
Ralf Jaeger	Eli Lilly and Company Limited	Pharma, Pre-clinical Research, Neuroscience/AD, Statistics
reza jafari	iauctb	ADNI,ANN
Kourosh Jafari-Khouzani	Massachusetts General Hospital	FLAIR
Bushra Jaffar	University of management and technology, Lahore , Pakistan	1234
Suresh Jaganathan	SSN College of Engineering	Deep Learning, Stacked Auto Encoder, Multilayer Perceptron
William Jagust	UC Berkeley	PET, ROI
Joseph Jahr	Molecular NeuroImaging	CSF, PET, Florbetapir
Divya Jain	University of Pennsylvania	imaging, MRI, bioengineering, texture
Manju Jain	Meerabai Institute of Technology	alzheimer's, spm12, SMRI data
Akshay Jaiswal	IIT Varanasi	Association Analysis; Data Mining; Gene-gene Interaction; SNPs; SVM
Ayush Jaiswal	USC	Structural MRI, MRI, Deep Learning, Machine Learning
Goran Jakimovski	KTI	Deep Neural Networks, computer algorithms, Machine Learning
Andreas Jakobsson	Lund University	Deep neural networks, statistical analysis
Sharna Jamadar	Monash University	parenthood, cortical thickness, connectivity
Mahnaz Jamee	INRP	resting state fMRI, functional connectivity, mild cognitive impairment, DMN
Insu Jang	Korean Research Institute of Bioscience and Biotechnology	Deep learning image analysis
Jinhee Jang	Seoul St. Mary's Hospital, College of Medicine, The Catholic Univeristy of Korea	Deep learning, Atrophy, visual assessment
Jinseong Jang	Yonsei University	deep learning
Hyesue Jang	Seoul National University	Brain atrophy, Ethnicity, MRI, Aging
Jae-Won Jang	Kangwon National University Hospital	Visual rating scale, Brain MRI, Alzheimer's disease
Kyung Eun Jang	Kyungpook National University	functional MRI
Yashwant Jankay	Ventech Solutions	Deep Learning, Image Classification
Marcin Jankiewicz	University of Cape Town	DTI, Resting State, multimodal imaging
Ali Jannati	BIDMC – Harvard Medical School	PET, rs-fcMRI, lesion network mapping
Iris Jansen	VU University	Genetics, polygenic risk scoring, alzheimer, gwas
Mohamed Ali Jarboui	Department of Preclinical Imaging and Radiopharmacy. UKT	metabolomics
Kharne Jean	University of Georgia	APOE e4 functional independence white matter integrity
Angela Jefferson	Boston University	Cognitive Performance, Aging
Irina Jelistratova	German Center for Neurodegenerative Diseases (DZNE)	amyloid pathology, amyloid-sensitive PET
manaswini jena	ITER	image segmentation, ANN
Stephen Jenkins	University of Strathclyde	Functional connectivity analysis, cortical thickness, disinhibition, cognitive
Danna Jennings	Eli Lilly and Company	volumetric MRI, Amyloid imaging
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
Andreas Jeromin	Atlantic	neurofilament
Ketan Jethwa	University of Nottingham	Basal nucleus of Meynert
Sangitha Jeyaseelan	McGill University	CSF biomarkers
Abhilasha Jha	Vellore Institute of Technology	Convolutional Neural Network, Sparse Autoencoder
Gong-Jun JI	Anhui Medical University	classificaiton, disease, fingerprint, functional connectome
Hao Ji	California State Polytechnic University, Pomona	white matter hyperintensity, segmentation
zilong ji	Beijing University of Technology	machine learning diagnosis
Zhiwei Ji	The University of Texas Health Science Center at Houston	multi-omics, systems biology, predictive model
Chenhong Ji	Leids Universitair Medisch Centrum	registration
Jin Ji	Genentech Inc.	Graphs
Bowen Jia	UC davis	network
Keren Jia	Nantong University	three-dimensional, MRI, ADNI
hao jian	Beijing University	zhongwen
Peihao Jiang	Shaanxi Normal University	brain function networks Alzheimer's disease
Xiong Jiang	Georgetown University Medical Center	MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
Yueyu Jiang	Sun Yat-sen University	CNN, medical image, Alzheimer's disease
Xue Jiang	College of Staten Island	Computer Vision, Image Processing, Neural Networks
Chunxiang Jiang	Shenzhen Institutes of Advanced Technology	neural activity, brain network
Curry Jiang	Central South University	deep learning, medical image processing
Zhenhuan Jiang	Shanghai Jiao Tong University School of Medicine	GWAS study for patient subtyping
li jiang	BEIJING UNIVERSITY OF TECHNOLOGY	image fusion,pet
Yuxi Jiang	University of Warwick	joint modelling, longitudinal process, event time analysis
Tao Jiang	Singapore University of Technology and Design	Alzheimer's, shape, cdr
Gao Jianhua	Taiyuan University of Technology	Alzheimer's disease
cai jiatong	Shanghai Maritime University	pet
wang jiayi	BUAA	Deep reinforcement Learning,image recognition
Biao Jie	University of North Carolina at Chapel Hill	fMRI, AD, Brain connectivity network
Juan Ramon Jimenez Alaniz	Universidad Autónoma Metropolitana Iztapalapa	image segmentation, pattern recognition
Carolina Jimenez Gomez	Universidad Tecnológica de Pereira	DTI, neural connections, quantitative analysis, degree project
Adolfo Jiménez-Huete	Hospital Ruber Internacional	Differential diagnosis; Gray matter volumetry
Antonio Jiménez-Marín	Biocruces	multi-scale brain connectivity, AD severity stages, neuropsychology
Koji Jimura	Keio University	resting state fMRI, behavioral testing, functional connectivity
Zhuochen Jin	Tongji University	jzc5159746
Yan Jin	University of California, Los Angeles	DTI
YIn JIn	Justice Resource Institue	PET Depression, antidepression medications
Chengshi Jin	UCSF	ADNI datasets
Honghe Jin	UNIVERSITY OF GEORGIA	FMRI, DTI
Ye Jin	JIlin University	AI,Data Mining
Hyeongmin Jin	Seoul National University	Alzeimer's disease, Image data analysis
ishan Jindal	Wayne State University	TADPOLE
Deepak Jindal	mait	deep learning project
Liu Jinduo	China	brain network; effective connectivity; Bayesina network; AD
Liu Jinduo	Beijing university of technology	fMRI; AD;brain effective connectivity network;Bayesian networks
Guo Jing	Lanzhou university	Alzheimer's diease, predisposing risk, correlations
pei jingjing	yunnanminzu university	Research, Graduation thesis design
Xiong Jingyu	Shanghai University	AD, SVM
Chen Jinqiu	Guizhou University	alzheimer1992
Sangkyun Jo	KAIST	Network Analysis; Graph Theory; Machine learning; Spinal cord;
Arthur Jochems	Maastricht University	Deep learning, radiomics, automatic segmentation
Karan Jodha	Vellore Institute of Technology, Vellore	CT-Scan,Alzheimer's disease
Pierre-Marc Jodoin	University of Sherbrooke	Diffusion, free water, hyperintensities, machine learning
Jigar Jogia	Aston University	brain cognition dementia
Per Johansson	Fleningevägen Centrum f Byggnadsvård	Alzheimer, biomarker, diagnostic, hormones
Cai John	The Jackson Laboratory	Deep learning, Artificial Intelligence
Stian Johnsen	BrainMiner Ltd.	CAD, AD, Software validation
David Johnson	UC Davis	Cognitive Impairment, longitudinal decline, Neuropsychology
Sterling Johnson	University of Wisconsin-Madison	tau, amyloid, pre symptomatic
Stephen Johnston	Swansea University	Prosopagnosia, VBM, MRI
Jane Johnston	Neurotez Inc	Leptin, clinical trial, Alzheimer's
Alireza Jomeiri	Azad university, Marand branch	Alzheimer's disease, PET
Lars Jonasson	Umeå University	FDG imaging methods
Matthew Jones	Cardiff University	machine learning, APOE, cognition
Richard Jones	Brown University	testing, practice effects
Harpa Jonsdottir	Brown University	Genetics, using ADNI data as a teaching example, Friday Harbor.
Linus Jönsson	H. Lundbeck A/S	Economic evaluation, disease progression
Sheldon Jordan	Neurological Associates of West Los Angeles	fMR, Resting, BOLD, Anatomical, ASL, DTI
MARIYA JOSE	SAHRDAYA COLLEGE OF ENGINEERING AND TECHNOLOGY	MRI IMAGE
Jane Joseph	Medical University of South Carolina	rsfMRI, graph theory, machine learning
Anthony Joseph	Unite Genomics, Inc.	GWAS, disease progression, drug response models, machine learning, image analysi
Joy Sebastian Prakash Joseph Irudayaraj	Chettinad Academy of Research and Education	fMRI, DTI, Conn, DSIStudio
Jitesh Joshi	Tata Elxsi Ltd	DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection
Shantanu Joshi	LONI UCLA	cortical distributions
Anand Joshi	USC	MCI, cortical thickness
Abhinay Joshi	Avid Radio-pharmaceuticals, Inc.	flrobetapir
Abhishek Joshi	University of Washington	computer vision
Himanshu Joshi	National Institute of Mental Health and Neurosciences	ApoE Neuroimaging
Richard Joules	IXICO	Neuroimaging Machine Learning
Lin Jovi	zjut	competition
Freimut Juengling	University Hospital Berne and PET/CT Centre Northwest Switzerland	SPM, AAL, SSP, PVC
MARUTA JUMPEI	Osaka city university graduate school of medicine	deep learning
Cao Jun	Wuhan University of Scientist and Technology	NifityNet Brain Parcellation
Jihoon Jun	OCL	fMRI, alzheimer
Kwan-Jin Jung	University of Massachusetts Amherst	functional connectivity
Dongjun Jung	None	sMRI
Jongsun Jung	Syntekabio	deep learning, hilbert, patient stratification, biomarker
Ho Yub Jung	Chosun University	localization, machine learning, neural network
Zhuo Junjie	Chinese Academy of Sciences	MRI, neuroimage, AD
Viv Junker	Sheffield Institute for Translational Neuroscience	Overview, Resources, AD, ALS, PArkinsons', MND
Wen Junling	Shanghai university of traditional Chinese Medicine	fMRI, hippocampus，functional connection
Roos Jutten	VU University Medical Center	Alzheimer's disease; composite scores; clinical progression
Carlos Alex Sander Juvencio Gulo	Universidade do Porto	segmentation high performance computing
monika jyotiyana	central university of rajasthan,Bandarsindri	AD,neurodegenerative disorders,
chethan k	Vidyavardhaka college of engineering	cbmir
karthik k	NITK	dataset , feature extraction, vsm, lsa
sabeena k	COLLEGE OF ENGINEERING KARUNAGAPPALAY	TADPOLE
RAGHAVENDRA K	NIMHANS	PET
L K	UoY	BA47, Alzheimers, hippocampus
Amin Kabir	University of Tehran	Classification, Machine Learning
Neda Kaboodvand	Karolinska Institutet	functional connectivity; brain injury; neuropathological signs of AD
Pramod Kachare	Ramrao Adik Institute of Technology	Wavelet packet transform, linear discriminant analysis, deep neural network
Mouloud Kachouane	USTHB	Alzhaimer dMRI DTI
Catherine Kaczorowski	The Jackson Laboratory	Genetics, using ADNI data as a teaching example, Friday Harbor
AMIT KADIAN	IITD	EBM
Harsha kadiveti	NIMHANS	SANSCOG
rahele kafieh	isfahan university of medical sciences	fmri, classification, graph
Bratati Kahali	Centre for Brain Research IISc	Cognitive scores, Clinical diagnosis, Demographics, Machine Learning
Zeynep Kahraman	Boston University	fmri, dynamical network, function states,
Li Kaicheng	Zhejiang University	930606CC
Bodo Kaiser	Ludwig-Maximilians-Universität München	medical image synthesis, gan, cnn
Marcus Kaiser	Newcastle University	connectome analysis, computer simulations, network dynamics
Akihiro Kakimoto	Hamamatsu Photonics K.K.	FDG, amyloid
Lisa Kakinami	Concordia University	cognition; longitudinal; brain atrophy
Vandana Kale	AISSMS IOIT	MRI brain images
Sanjay Kalra	University of Alberta	texture analysis
Shahab Kamali	Google Inc.	Machine Learning, Image Classification, Convolutional Neural Nets
Josh Kaminker	Genentech	clinical trial
Chi Nok Enoch Kan	University of Minnesota	Deep Learning
Aytuna Kandemir	Ankara University	machine learning
Nagaendran Kandiah	National Neuroscience Institute	dementia, stroke, small vessel
Michiwo Kanekiyo	Eisai Co., Ltd.	MCI, efficacy, trajectory
Tomoki Kaneko	shinshu university	visual rating system
Alex Kanevsky	Metis	Machine learning, data science
jihye kang	kisti	Life Medical
Seung Kang	SNU	deep learning
Yi Kang	Beijing Normal University	brain aging
Hakmook Kang	Vanderbilt University	functional connectivity, spatio-temporal model
YUN SEOK KANG	The Ohio State University	Post mortem human surrogate
Kai Kang	Chinese University of Hong Kong	Hidden Markov Model
Kaidi Kang	Johnson & Johnson	Disease progression model
Soo-Jin Kang	Asan Medical Center	machine learning
Do-Young kang	Dong-A university hospital	Resnet, transfer learning
Ju Hee Kang	Inha University	A-beta42, tau, phospho-tau
Jiayin Kang	Huaihai Institute of Technology	PET
MIN JU KANG	Seoul National University Bundang Hospital	Sleep, Amyloid, Alzheimer's disease
Hee-Ju Kang	Chonnam National University Hospital, Gwangju, K	MCI, AD, genetics, sequencing
Nirmal Kannan	Paavai Institute	Alzheimer
balaji kannappan	chosun university	hippocampal subfield
Jacob Kannarkat	University of Miami Miller School of Medicine	TADPOLE
Anuraag Kansal	Evidera, Inc.	simulation, model, clinical trial
Jayanth Kanugo	University of Missouri	CNN machine learning
Adam Kaplan	University of Minnesota	Joint and Individual Variation Explained
Shubhashish Kar	Bangladesh University of Engineering & Technology	Research , Disease Progression Modeling
Pınar Karadayı	Bahcesehir Unv.	machine learning , ADNI
Vania Karami	1987	CAD system, Alzheimer disease
Akhil Karazhma Kottaram	The University of Melbourne	dynamic functional connectivity, resting state networks, defaultmode network,
Keith Karcher	Janssen Research & Development	"cognitive assessments", "longitudinal change", "asymptomatic, at risk subjects"
Helmet Karim	University of Pittsburgh	brain age, gray matter density, onset variability
Rejaul Karim	Michigan State U	Research, data analysis
Hamed Karimi	Amir Kabir University of Technology	alzheimer, diagnosis, FMRI, neuroimaging, machine learning. Gene expression
Hamed Karimi	University	image processing/deep learning
mahboobe karjoo	science and research university	fmri
Daniel Karlin	Pfizer, Inc.	Data, Transmart
David Karow	Human Longevity, Inc	early detection, integrated risk models
Chiheb Karray	CNRS (Digital Research Centre of Sfax)	Machine Learning, Data Integration, Biomarker Discovery
Christiana Kartsonaki	University of Oxford	joint models, landmarking
Naama Karu	Wishart lab / TMIC	metabolomics
alireza kasaei	Fudan University	PET MRI T-test
Wataru Kasai	Splink, Inc.	MCI due to AD, MRI, Neural Network
kimia kasraian	sbu	resarch
Sara Kassani	University of Saskatchewan	Alzheimer disease, ontology, semantic data integration
Panagiotis Katsonis	Baylor College of Medicine	Evolutionary Trace
HKKATTI KATTI	zeesense	Deep learning, Brain functions, Consiousness
Rachneet Kaur	University of Illinois at Urbana Champaign	Research, Clinical, Image Analysis
Prabhjot Kaur	CU	MRI, sMRI , sparse representation
daman kaur	ulster university	Alzheimer's disease
Sukhmani Kaur	Information Sciences Institute	brain
Rachneet Kaur	University of Illinois at Urbana Champaign	features, Alzheimer, Parkinson
John Kauwe	Brigham Young University	mitochondrial copy number, Alzhiemer's disease, genetics
Martin Kavec	home	brain morphology
Atsushi Kawaguchi	Saga University	network analysis, multimodal, prediction
Michael Kawczynski	University of California, San Francisco	Deep Learning
Mümine KAYA KELEŞ	Adana Science and Technology University	Data Mining,Brain MR,Alzheimer Diagnosis&Detection&Prevention,Image Processing
Mitsunori Kayano	Obihiro University of Agriculture and Veterinary Medicine	Biomarker, CSF, plasma, Brain
Safak Kayikci	Abant Izzet Baysal University	Image Processing Harmonization
Samaneh Kazemi	Robarts Research Institute	Alzheimer disease, Magnetic Resonance Imaging
yosra kazemi	Brock University	Deep learning; Alzheimer’s Disease; fMRI
Amirali Kazeminejad	University of Calgary	Graph Theory, Human Connectome, Machine learning
Anees Kazi	Technical University of Munich	Deep learning, data retrieval, machine learning
Rijan kc	National college of Engineering	12345
samin kch	University of Tabriz	Neural algorithms
Aman KEdia	Birla Institute of Technology and Science	deep learning, Convolutional neural networks
ning kefu	Wuhan International Joint Laboratory On Optoelectronics	deep learning
Dorothy Keine	Muses Labs	mild cognitive impairment, Alzheimer's, decline, treatment
Martin Kelemen	University of Cambridge	genomic prediction, disease prognosis
Douglas Kelkhoff	Genentech	biomarker, progression, cross-study
Thomas Kelleher	Bristol-Myers Squibb Co	exploratory analyses, clinical trial endpoints
Frauke Kellner-Weldon	University	norm data, quality control,
Brendan Kelly	Washington University in Saint Louis	Deep Learning
Frank Kelly	HAL24K	Hackathon, TADPOLE, data science
Oliver Kennion	Newcastle University	biomarkers, Alzheimer's disease, progression
Nicole Chwee Har Keong	National Neuroscience Institute	Normal Pressure Hydrocephalus, MRI, DTI, biomarkers
justin ker	nni	diagnosis
Daniel Kerr	Laboratory of Neuroscience - LIM-27	genetic, biomarkers, cognition
Nirmal Keshava	Constellation Analytics, LLC	machine learning, unsupervised, patient similarity, precision medicine
Ronak Keshavarzi	Islamic Azad University of Tehran Medical Branch	Alzheimer’s disease and inflammatory doseases
sanaz keshvari	aziunivercity	image processing
Shelli Kesler	University of Texas MD Anderson Cancer Center	cancer Alzheimer's connectome chemotherapy
Daniel Kessler	University of Michigan	Statistics, Machine Learning, DWI
April Khademi	University of Guelph	brain segmentation, white matter lesions
bijen Khagi	Chosun University	Bijen
mahsan khaleghi rad	tehran university of medical science	mci,tau,amyloid beta,medial temporal lobe
Abdullah Khalili	University of Hormozgan	White Matter Segmentation, Convolutional Neural Networks
RIYAJ UDDIN KHAN	INDIAN INSTITUTE OF TECHNOLOGY, INDORE	disorders
Aqib Khan	Air University	ISML
Aunsia Khan	SZABIST	AD, MAchine learning
Wasim Khan	King's College London, Institute of Psychiatry	AD, MCI, MRI, CSF
anand khandekar	vishwaniketan	AD, MCI, Machine Learning
mohammad khanjani	iust	alzheimer
Shahrzad Kharabian	research center Jülich	replicability structure/function-brain-behavior association
Tatiana Khasanova	Rancho Biosciences	disease progression, neuroinflammation, biomarkers
Uttam Khatri	chosun university	classification of AD and NAD
Julia Khaw	Trinity College Dublin	Brain injuries, AD
Ali Khazaee	Babol University of Technology	resting-state fmri
behnaz khazai	university of southern california	neuroimaging genetics
Mohamed Salah KHlif	Florey Institute - Melbourne	stroke AD hippocampus
Shahin Khobahi	University of Illinois at Chicago	Graph Signal Processing, Artificial Intelligence, Alzheimer's Disease
afsoon khodaee	university of tehran	fmri,mri
Mizanur Khondoker	King's College London	Machine Learning, Statististical Genetics, Imaging QTL
Sok Kean Khoo	Grand Valley State University	biomarker
Alexander Khvostikov	Lomonosov Moscow State University	Medical imaging, Deep learning, Image Fusion, Convolutional Neural Networks
Trisha Kibaya	University of Trento	Healthy controls
Satoshi Kida	LPixel	white matter lesions, PVH, DSWMH, FLAIR, machine learning
Steven Kiddle	University of Cambridge	statistics
Kelley Kidwell	University of Michigan	hypothesis testing, regression
ikram kiki	ISG	multi sources ensemble methods data fusion missing data
Masashi Kikuchi	MSD K.K.	cognitive measurements progression
Masataka Kikuchi	Osaka University	eQTL, GWAS
Umit Kilic	Adana Science and TechnologyUniversity	alzheimer,brain
Ron Killiany	Boston University School of Medicine	regions of interest, neocortex, hippocampus, entorhinal cortex
SEONGJI KIM	USC VOLUNTEER	n/a
Minseon Kim	KAIST	fMRI, Deep learning
Jeongsik Kim	Samsung Medical Center	FDG-PET; epilepsy, metabolic changes
Byeongnam Kim	Yonsei university	MRI
Heeseok Kim	Kangwon National University Hospital	anxiety, MCI
Hwiyoung Kim	Yonsei University College of Medicine	AD prediction with deep learning
Do-Hoon Kim	Kyungpook National University Hospital	Quantitative method, amyloid PET
Young Ju Kim	Samsung Medical Center (South Korea)	APOE, cognition, MCI
Jeonghun Kim	Korea University	neuroimage
Jae Sung Kim	Seoul National University Hospital	Hypothalamus, Alzheimer
Joseph Kim	Seoul National University	Deep Learning, multimodal registration
Sungeun Kim	State University of New York, Oswego	genetics, multi-omics, neuroimaging
Woo-Sung Kim	Chonbuk National University	Deep learning; 3D CNN; Schizophrenia; Clasification
Minhee Kim	University of Wisconsin, Madison	prognostics; predictive analytics; Gaussian Process
ki hwan kim	KAIST	deep learning, MRI, reconstruction
Sungeun Kim	State University of New York	imaging genetics
Hyunjin Kim	Yonsei University	MCI, MVPA, functional connectivity, amygdala
ChanMi Kim	Asan Medical Center, Ulsan University School of Medicine	MR image, PIB-PET, DTI tractography
Tae-Sung Kim	National Cancer Center	Stastical analysis, Deep learning
Wook Kim	Korea Institutes of Radiology and Medical Sciences	AD PET, MR, deep learing
Seungjoo Kim	samsung medical center	MBI
Hyungjun Kim	Soonchunhyang	subjective memory impairment
JEE WOOK KIM	Hallym University Dongtan Sacred Heart Hospital	subjective memory complaint, , Alzheimer's disease, MCI, cognitive normal
Byung-Hoon Kim	Korea Advanced Institute of Science and Technology (KAIST)	fMRI, machine learning
Jung-jae Kim	Institute for Infocomm Research, Singapore	deep learning, heterogeneous data analytics, AD classification
Donghyeon Kim	NEUROPHET	mri ct synthesis
Jongin Kim	Gwangju Institute of Science and Technology	machine learning, signal processing, sparse modeling
david kim	hanyang university	Alzheimer's disease
Dokyoon Kim	Geisinger Health System	Data integration, multi-omics data, machine learning
sekeun kim	Yonsei	mri
Jeongchul Kim	Wake Forest University Baptist Medical Center	Brain imaging, Biomechanic, Deformaiton, MCI/AD
Hang-Rai Kim	Korea advanced institute of science and technology	Amyloid, MCI, Deep Learning
SUNG WON KIM	Yonsei University	dementia
bohyun kim	hanyang univerisy	imaging genetics
Wook Kim	Seoul National University	Deep learning, AD, MCI
eunji kim	alzheimer's consulting & services	Alzheimer's disease
Nakyoung Kim	MIDAS IT	freesurfer
YEO JIN KIM	Samsung medical center	APOE2, amyloid deposition
Heeyoung Kim	Kosin University Gospel Hospital	DTI, Amyloid, Alzheimer's dementia
Manho Kim	Seoul National University Hospital	Alzheimer disease, Predict, Progression
Seong Yoon Kim	Asan Medical Center	MCI, Cortical thickness, US vs. Korean
Chanwoo Kim	University of Korea	deep learning, machine learning
Hanwoong Kim	Yonsei Univ	deep learning
Chi-Hun Kim	University of Oxford	Alzheimer's disease, Signature method, Longitudinal data modelling
Jong Hun Kim	Samsung medical center	GWAS, biomarker, prediction
Grace Kim	Seoul National University	Sex Differences, Alzheimer's Disease, Mild Cognitive Impairment
Do-Hoon Kim	Asan Medical Center	Qunatification
Tobias Kind	UC Davis Genome Center	Machine learning, secondary data analysis
Nicola King	Plymouth University	Biomarker, biomarkers, serum, blood, urine, Azheimer's Disease
Lisle Kingery	CogState	neuropsychology
Kaitlin Kinney	University of Southern California	Neuroimaging, Masters, University of Southern California
Kirsi Kinnunen	UCL Institute of Neurology	longitudinal, MRI, DTI
Jan Hendrik Kirchner	Uniklinikum Freiburg	ASL, machine learning
Jessica Kirkland Caldwell	Cleveland Clinic Center for Brain Health	hippocampus, memory, resting state, gender, amyloid
brock kirwan	Brigham Young University	hippocampus; MRI
Biomedical Research Team Kisti	Korea Institute of Science and Technology Information	Precision medicine, Alzheimer's disease , dementia research
chiemi kitamura	FUJIFIRM RI Pharma Co.,Ltd.	Amyloid
Lindsey Kitchell	Indiana University	White matter, shape, morphology
kitty kitty	College of Information Engineering	DARTEL AD VBM
David Kiviat	University of Florida	deep learning, alzheimers
Gustav Kjellberg	Royal Institute of Technology (KTH)	Support Vector Machines Random Forest Naive Bayer Alzheimer's disease
Richard Klein	Georgetown	training
Alison Klein	Johns Hopkins School of Medicine	Control, Familial Pancreatic Cancer
Gregory Klein	Roche	clinical trial
Aaron Kleinman	23andMe	parkinsons alzheimers
Bernard Kleynhans	Harvard University	data science, machine learning
Mitchel Kling	Perelman School of Medicine, University of Pennsylvania	metabolomics, phospholipids, blood-based biomarkers, metabobype-genotype
Mitchel Kling	University of Pennsylvania School of Medicine	Stress, depression, disease biomarkers, disease progression biomarkers
Rebecca Klinger	Duke University Medical Center	amyloid, cognition, cardiac surgery
Katharina Klink	Psychiatric Services University of Bern (UPD)	arterial spin labeling; Alzheimer's disease; classification
Jesse Knight	University of Guelph	MRI, segmentation, image analysis
Hyunwoong Ko	Seoul National University	Machine learning, Deep learning, Early detection
Lindsay Kobayashi	Georgetown University	Cognitive reserve, using ADNI data as teaching example, Psychometrics Workshop
Mustafa Kocaturk	Bogazici University	Adaptive Methods Alzhimer Disease Ensemble Classifier
Lisa Koch	ETH Zurich	machine learning; image analysis
Philipp Johannes Koch	EPFL	stroke, aging, connectivity, structural, functional
Elena Kochova	Vrije Universiteit Amsterdam	amyloid, PET, cluster analysis
Ognjen Kocic	Faculty Of Mathemathics, Belgrade	Machine Learning, CNN
Loren Koenig	NYU School of Medicine	cerebral metabolic rate, glucose metabolism, amyloid-beta pathology
Lauren Koenig	Washington University in St. Louis	Aging; Atrophy; MRI; Alzheimer Disease
Kai Kohlhoff	Google	Disease progression, biomarkers, machine learning, multimodal
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
Arinbjorn Kolbeinsson	Imperial College London	machine learning, prediction, deep learning
Karolis Kolbus	Therapy Box	screening,Alzheimer's,machine learning
Sarath Kolli	Wipro	Brain, Healthcare , AI
Oleksii Komarov	Kharkiv National University of Radioelectronics	DWT, SWT, WPT, Brain, Tumor
Rebecca Koncz	University of New South Wales	Amyloid PET; small vessel disease; MRI; DTI; CSF-Ab
Xiangnan Kong	Worcester Polytechnic Institute	brain network, fMRI
Xiangzhen Kong	Beijing Normal University	practice
Linglong Kong	University of Alberta	Alzheimer's Disease Neuroimaging Initiative, Corpus callosum, Fractional Anisotr
Xiang-Zhen Kong	Beijing Normal University	replication analysis
Xiaoting Kong	Peking University	research duplication for a paper accepted by ICML 2017
Filippos Konidaris	National Technical University of Athens	Machine Learning, Generative Adversarial Networks, Deep Learning
lee konsu	sogang	deep learning
Ender Konukoglu	ETH Zurich	method development, machine learning, patio-temporal models
Takahiro Konuma	Japan Tobacco	Bioinformatics
Krzysztof Kopera	Intelligent Services sp. z o.o.	AI; zygomatic bone; injury
Simon Koppers	RWTH Aachen University	dMRI, Deep Learning
Andrey Kor	University of Oxford	deep learning, unsupervised learning, modelling
Matheus Korb	Universidade Federal de São Carlos	Hippocampus Segmentation, BIPGroup, Alzheimer Disease
Sasha Korekov	Perm State University	none
Ayad Korial	University of Technology	deep learining
Sergey Korolev	Institute for Information Transmission Problems	Autoencoder, CNN
Nils Korte	UCL	Machine Learning Alzheimer's Disease
Vladimir Korzun	NTUU KPI	-
James Kost	Merck & Co., Inc.	Parameter Estimates, Cognition
Pavan Kumar Kota	GE Healthcare	Alzheimers
Deydeep Kothapalli	University of Southern Calfornia	FDG-PET
Tanay Kothari	Stanford University	machine learning, computer vision, deep learning
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
MIchael Kozaczek	Rutgers School of Health Professions, Newark NJ	fMRI , PET, Fronto temporal Dementia, Alzheimer's, Herpes, P
kruthika kr	Acharya institute of technology	Brain print
Zarina Kraal	University of Michigan	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
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
Thulasi Krishna	Jyothi Engineering College	Multiview representation; Multi-template; Classification; Alzheimer’s disease;
vamsi krishna	Indian Institute of Information Technology	disease progression modeling
Stephan Krohn	Freie Universitaet Berlin	fractal dimension; computional image analysis; tissue complexity measures
Frithjof Kruggel	UC Irvine	DTI
Jan Krumsiek	Weill Cornell Medicine	metabolomics, stratification, computational biology
Karthik Sekaran KS	Vellore Institute of Technology	Machine Learning, Oncology
Changwan Ku	ChungAng univ	neuroimaging
xinkai kuang	Jilin university	Alzheimer's disease
liqun kuang	Arizona State University	Network measure, persistent homology, rips filtration, functional connectivity
Amy Kuceyeski	Weill Cornell Medical College	computational analysis, brain connectivity network, prediction of AD progression
Florentin Kucharczak	University Hospital of Montpellier	PET, early diagnosis, interval-based reconstruction
Laurynas Kucinskas	LSMU	volumetry
Haluk Kucuk	Marmara University	deep learning, machine learning
Donald Kuhl	Lawson Research Institute	ADNI-GO
hemalatha kulala	Sri Padmavati Mahila Visvavidyalayam	Soft computing, A;zheimer's, Classification
Sue Kulason	Johns Hopkins University	computational anatomy, longitudinal, ERC
SIDDHESH KULKARNI	University of Connecticut, Storrs,USA	Sparse Canonical Correlation, High Dimensional Data, Brain Networks
ankita kulkarni	MITCOE	machine learning, alzheimer's disease
Mukta Kulkarni	National Institute of Technology Karnataka	CT/dMRI conversion
Devang Kulshreshtha	Indian Institute of Technology, Varanasi	AD/MCI Diagnosis, deep learning, multimodal machine learning, neuroimaging
Kuldeep Kumar	Ecole de technologie superieure	Co-clustering, dictionary learning, classification
Varun Kumar	Indian Institute of Technology Delhi, India	fMRI, brain modeling, diagnosis
Ankit Kumar	Indian Institute of Technology Patna	Alzheimer's disease FMRI
Pranshu Kumar	IIT(BHU)	mri AD
Pawan Kumar	NUS Yong Loo Lin School of Medicine	AICD, APP intracellular domain
B PRAVEEN KUMAR	TRUEVOLTS	MSE
Rishab Kumar	Guru nanak Dev University	ADNI database to work with CNN
ANIL KUMAR	aitam	BIO MEDICAL IMAGE PROCESSING
Arvind Kumar	SLIET LONGOWAL	CNN, ANN, Deep learning.
Dinesh Kumar	University of California Davis	metabolomics, text mining, machine learning
Pankaj Kumar	NIT Patna	alzheimer's disease
Abhishek Kumar	IPR	Deep Learning, Data Mining, Software
SANGEETA KUMARI	INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY	softmax regression, ANN, ICA
Sudhakar Kumawat	Indian Institute of Technology Gandhinagar	deep learning
Han Kun	Harbin Engineering University	MRI, Deep Learning, Neural Network
PETER KUNACH	McGill University	WMH, DWI, FDG
Swathi Kundaram	Gujarat Technological University	Deep learning, Alzhimer, Diagnosis
Jacky Kuo	University of Texas Health Science Center Houston	Continuous-Time markov chain
Li-Wei Kuo	National Health Research Institutes	Graph-theoretical analysis, deep learning
Phillip Kuo	University of Arizona	PET, amyloid, software analysis
USHA Kuppe Channappa	BMS college of engineering	Alzheimer, Mild cognitive impairment ,
Hitesh Kurapati	IIT B	Alzheimer's disease , deep learning
Aseem Kurhekar	MIT College Of Engineering	MCI,AD,MRI,Machine Learning
P Kurian	Howard University	tau, neurofibrillary tangle
venkata harikrishna yadav kurra	Texila American University	DATA REQUEST.
vimal kurup r	amrita	for research
Kaisar Kushibar	UdG	structure segmentation
Hiroto Kuwabara	Johns Hopkins University	tau-positive scan; tau-neuromaging
Seyul Kwak	Seoul National University	Brain age, predictive modeling
Kichang Kwak	McGill University	Alzheimer's Disease, prediction model, deep learning
Doyeon Kwak	Korea Advanced Institute of Science and Technology	machine learning, alzheimers, deep learning
Kenneth Kwan	IXICO	MRI
Winnie Kwang	UCSF	ADNI; BHR
Nayeon Kwon	SNU	alzheimer's disease, MRI, EEG
Jangho Kwon	Korea Institute of Science and Technology	Deep learning, Classification, Convolutional Neural Netowrk
Young Hye Kwon	KAIST	language, AD, fMRI
Saewon Kye	JLK-Inspection	Alzheimer's research
Girish L	CIT	Deep Learning, Machine Learning
jy l	BUPT	a123456
Christian La	Stanford	dynamicFC using rs-fMRI
Claire La Fleur	University of Virginia	cognitive dedifferentiation, aging, individual differences
Marianna La Rocca	Bari University "A. Moro"	Complex networks, machine learning, image processing, neurodegenerative disease
Vanessa LaBode	Columbia University	"Genetics, using ADNI data as a teaching example, Friday Harbor"
Boris Labrador	ICM	clustering, validation, mechanisms
Viviane Labrie	Van Andel Research Institute	depression pathogens genetics
Anisio Lacerda	CEFET-MG	Representation learning, multi-modal data
Marcin Lachowski	Aalborg University	alzheimers mci classification deep learning
Meher Lad	Newcastle University	hippocampus, brain atrophy
Thatcher Ladd	IU School of Medicine	full genome, blood data
Robert Laforce	CHU de Québec - Université Laval	Cognitive screening; cognitive charts; MoCA; MMSE
salwa lagdali	university mohammed V	scientific research
Debomoy Lahiri	Indiana University School of Medicine	Amyloid, miRNA, non-coding RNA, SNPs, variants
David Lahna	OHSU	MRI perivascular spaces
Catherine Lai	Brearley School	Alzheimer's, genome-wide association studies
Dongbing Lai	Indiana University School of Medicine	genotyping QC
Ying Liang Lai	Taipei Medical University	rsfMRI, MT, DMN, Dementia
Krystal Laing	Columbia University	biomarkers, AD, PET
Dillon Laird	Stanford	machine learning, feature representation, image generation
Anita Lakatos	University of California, Irvine	genome, mitochondria, PET images
Javid Lakha	Harvard University	machine learning
Santhana Lakshmi.A	SSN College of Engineering	Functional Plasticity,Functional Connectivity,f-MRI,DTI
Kavya Lakshminarayanan	University of Pennsylvania	Classification
Alice Lam	Masschusetts General Hospital	fMRI
Ramesh Lama	National Research Center for Dementia	Dementia
Christian Lambert	St George's University of London	Segmentations; Classification; Vascular Dementia; Parkinson's Disease Dementia
tian lan	stanford	deep learning
Shiwei Lan	California Institute of Technology	longitudinal analysis, neuroimaging data, spate-temporal changes
Brian Lananna	Washington University in St. Louis	YKL-40, neuroinflammation
Jonathan Landa	University of Minnesota	neural network, training data, test data
Susan Landau	UC Berkeley	PET FDG ROI
Bennett Landman	Vanderbilt	labeling, multi-atlas
Elizabeth Lane	Florida School of Professional Psychology	vascular risk; cognitive aging; biomarker; neuropsychology
Steven Lang	University of Miami Miller School of Medicine	AD
Catharina Lange	Charité - Universitätsmedizin Berlin	multi-modal, dementia, MCI
Stephanie Langella	UNC-Chapel Hill	TOMM40, volume, cognition
Alexandre LANGENIEUX	Pixyl	CAD segmentation software MRI VBM Normalization
Christian Langkammer	Medical University of Graz	deep learning, AD, iron, QSM
Rosamund Langston	University of Dundee	cognitive tests, episodic memory, dementia
Steven Lanning	Maine Veterans' Service	TBI, PTSD, AD, Dementia
Patrick Lao	Columbia	amyloid, vascular disease, neurodegeneration
Ghada Laribi	ENIT	Detect, early, alzheimer
Andres Larroza	UPV-CSIC	PET, MRI based attenuation correction
Francesco Laruina	University of Pisa	machine learning,deep learning, PET,MRI,CT,PET-MRI
Lefkovits Laszlo	Sapientia Hungarian University of Transylvania	MRI, image segmentation, feature selection
Ayesha Akter Lata	Chosun University	MRI
Jeanne Latourelle	GNS Healthcare	Causal models; Machine Learning
Tingfung Lau	Microsoft Research Asia	Registration;Deep Learning
Ross Lauber	SUNY Oswego	Standardized MRI Data
Gabriele Lauria	Student of UNIVERSITA TELEMATICA INTERNAZIONE UNINETTUNO	MRI brain image in A.D. patient
Andreas Lauritzen	Yale University	medical image synthesis, deep learning
THI KHUYEN LE	Aix Marseille University	Glucose consumption, AD, NC, MCI, inverse covariance matrix estimation
Trang Le	University of Pennsylvania	machine learning, methodology
Matthieu Le	Arterys	machine learning segmentation
Yann Le Guen	CEA	imaging genetic, heritability, cortical structures, sulci, sulcal pits
Stephanos Leandrou	European University Cyprus	Alzheimer’s disease; Mild Cognitive Impairment; quantitative MRI; temporal lobe;
Mackenzie Leavitt	Cleveland Clinic	MCI, RSFMRI, ADNI
Hyunwoo Lee	McGill University	Brain Atrophy, Scanner Hardware Change
Kwanghyuk Lee	Baylor College of Medicine	Evolutionary Traces, genetic mutations, Alzheimer's Disease,
Justin Lee	Harvard University	Machine Learning, Data Analysis
Dongjin Lee	Arizona State University	Deep Learning, Dimension Reduction, Alzheimer's Disease
Song-Ting Lee	National Cheng Kung University	Texture analysis,Alzheimer disease,Image processing
DongHyuk Lee	KAIST	AD, cognitive reserve
Sang-gil Lee	Seoul National University	deep learning, multimodal data
Ji Young Lee	South Dakota State University	medical image processing
Serin Lee	Koh Young Research America	image synthesis
Popo Lee	University of Waterloo	Alzheimer’s Disease
Jusung Lee	Gwangju Institute of Science and Technology (GIST)	MRI, segmentation
Sangwon Lee	Sogang University	CNN
Jangho Lee	Seoul National University	MR images synthesis, Deep Learning
David Lee	University of Wisconsin - Madison	Dementia, CNN, machine learning, neuroimaging, neuroscience, health
Sung Hyun Lee	Hanyang univ	bio
MIN-WOO LEE	INJE UNIVERSITY	MRI data processing
Wook Lee	Department of Computer Science and Engineering, Inha University	TBSS, DTI, AD
Eunho Lee	korea university	AD, PD
Ilgu Lee	Pactera	Alzheimer
Dongjin Lee	Arizona State University	brain image, deep learning
Chun Lung Lee	CUHK	define the progression of Alzheimer’s disease
Jisoo Lee	Jungwon Univ.	Machine Learning, Hippocampus, MRI Dataset
Hyunna Lee	University of Ulsan College of Medicine	deep learning
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
Eunjee Lee	University of Michigan	Reproducibility
JUN RO LEE	samsung medical center	MCI cognitive function
DongHyuk Lee	Korea Advanced Institute of Science & Technology	AD,network analysis, amyloid and tau
Suzee Lee	UCSF	frontotemporal dementia
GY Lee	MediWhale	registration, brain, deep learning
Seunggeun Lee	University of Michigan	GWAS, gene-based test, neuroimaging
Tien-Wen Lee	Lee's General Hospital	psychiatry, bipolar disorder, depression, resting state fMRI
Changhee Lee	University of California, Los Angeles	Survival analysis, longitudinal study, disease trajectory
Jamie Lee	Biomedical Engineering	Effective Connectivity,fMRI,DTI.Alzheimer's disease
Yang Hyun Lee	Sinchon's Severance Hospital of Yonsei University	FDG PET
Yi-Ju Lee	TIGP/ Academia Sinica	Alzheimer’s disease, neuroimaging, complexity analysis, genetics
Yunseong Lee	Seoul National University	machine learning, distributed systems
Angela Lee	NIST	Alzheimer disease
Taesic Lee	Gwangju Institute of Science and Technology	Alzheimer-related gene
seonjoo lee	columbia university	longitudinal data analysis
Jiyeon Lee	KOREA university	diagnosis AD
Mi Ri Lee	NYU GSAS/NYULMC	Dementia, Pregnancy
Erik Lee	Massachusetts General Hospital	TMS, finite element, brain-scalp distance
DASOM LEE	Seoul National University	MCI, AD, Biomarkers, MCI conversion
Hyekyoung Lee	Seoul National University	Brain network, persistent homology, hole, module
Bumshik Lee	Chosun University	Alzheimer`s disease
Annie Lee	National University of Singapore	T1, resting-state, age-effects, gender
Zhuoling Lee	HUST	study
Jong Seo Lee	Yale University School of Public Health	GWAS, biomarker, cognitive impairment, Alzheimer's disease
Gunhee LEE	Korea Univ	deep learning
Catherine Lee	Harvard School of Public Health	survival analysis, left truncation, time-dependent covariates, cox model
Jeonghoon Lee	Seoul national university of south Korea	Deep learning, Medical Image synthesis, Radiology
Ashley Leech	Tufts University/Sunovion	Parkinson's disease, OFF
Hyuntae Leem	Sogang	PET
charlie leger	York University	cortical, subcortical grey matter volume
Gabriel Leger	Cleveland Clinic	FDG-PET, FTD, LBD, AD, clinical Dx, prediction
Benoit Lehallier	Stanford	Machine learning; bioinformatics; prediction
Hon