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
ANIMESH KUMAR --	National College of Ireland	BRAIN AGE, MRI, DEEP LEARNING, PREDITION
sakshiwala .	National institute of technology patna	mild cognitive impairment, resting functional MRI, brain functional network
a a	a	a
shyna A	TKM	ASL,CBF
Thushara A	TKM College of Engineering	AD,MCI,Brain graph, rsfmri,DTI,Tractography
Sai Darahas A	National Institute of Technology Andhra Pradesh	neuroimaging
Srinivasan A	CSIR-CMERI	Alzheimer's Disease
Dinu A J	Noorul Islam	AI,Alzheimer's disease
sunija a p	National Institute of technology Tiruchirapallli	biomarker, OCT, artificial intelligence
Anusha A S	IISc	Machine learning, Pattern identification
Yassine Aakil	UMASS Lowell	AI, MRI, CT, Brain
nima aalizade	rs	cnn
Fatemeh Abadian	Iran University of Science and Technology	Deep learning, Weakly supervised, Classification, MRI
Brennan Abanades Kenyon	Oxford Univerity	segmentation, volume estimation, FSL
Syed Qasim Abbas	La Trobe University, Melbourne	Discriminate Atrophy Localization
Hawraa Abbas	Kerbala University	Dementia classification
ali abbasi	Urmia University of Technology	Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne
Kainat Abbasi	Habib University	3DCNN, Adam(), SGD()
walid abbassi	esprim	4MG69
abd elazeim abd alla mohamed nour	south east university	MRI,AD,MCI
Moloud Abdar	Institute for Intelligent Systems Research and Innovation (IISRI)	deep learning, Fusion, uncertainty quantification
Mohamed Abdelaziz	Shenzhen university	Alzheimer’s disease, multimodal data
Moro abdelhamid	Ain Shams University	epistasis and SNPs
Akram Abdelkarim	King Fahd University of Petroleum and Minerals	disease progression, time series analysis, MRI
Mehdi Abdollahpour	Amirkabir university of technology-Tehran Polytechnic	Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN
Yousry AbdulAzeem	Misr Higher Institute for Engineering and Technology	Alzheimer, CNN, deep learning
Ahmed Abdulkadir	University of Freiburg	classification, machine learning
Azian Azamimi Abdullah	Universiti Malaysia Perlis	Alzheimer’s disease (AD), MRI, machine learning, prediction tool
Mohammed A M Abdullah	Ninevah University	fMRI, machine learning, AD, classification
Osama Abdullah	NYU Abu Dhabi	Freesurfer, DTI
Ali Abedi	Toronto Rehabilitation Institute	Federated Learning, Healthcare Informatics, Medical Data Analysis
Clement Abi Nader	INRIA	Alzheimer's disease Disease progression model Machine learning
Tracy Abildskov	University Of Utah	Mild TBI
Olamide Abiose	Stanford University	tau, PET, amygdala, stress
Mohammed AboArab	Facullty of Engineering, Tanta University	deep learning, unsupervised learning, affine image registration, deformable imag
Samaneh Abolpour Mofrad	Western Norway University of Applied Sciences	Alzheimer, Mixed effect model, Machine Learning, ventricle, Hippocampus
vahid abootalebi	Yazd University	biological signal processing, Graph signal processing
Mohamed Aborageh	Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)	Cognitive features, Longitudinal modeling
Tisha Abraham	GE	Deep Learning
Yonatan Abrham	University of Massachusetts Lowell	Healthcare, deep learning
John Absher	University of South Carolina Greenville	TBI exosome AD morphometry
Yasmine abu adla	RHU	AI biomedical enginerring medical imaging
Mohamed Abu Sheha	University of South Florida	Dementia, Machine Learning, Statistical Modeling.
samah Abuayied	Umm Al-qurah university	AD
Francisco Javier Acevedo	University of Alcala	PET, MRI, CSF biomarkers
Maria Ram Achary	University of Mumbai	Alzhemeirs parkinsons hungtions and ALS
Noriaki Adachi	MSD. K.K. (Japan Branch of Merck)	threshold
Nikolaos Adaloglou	INSA	segmentation, medical imaging
Hieab Adams	Erasmus MC University Medical Center	Neurodegeneration, high-dimensional data, brain imaging, genetics
Bertrand Adanve	Genetic Intelligence, Inc	Whole genome sequence, Artificial intelligence, Computational analysis
Stanislaw Adaszewski	F. Hoffmann - La Roche AG	imaging, genetics
Tameem Adel	University of Amsterdam	MRI Classification, Unsupervised Feature Learning.
aya adel	cairo university	classification
Katy Adler	Bar Ilan University	brain fc sc
khadar afghan	KLE's Technological University	mini project on segmentation on brain mri
Vera Afreixo	University of Aveiro	Data Analysis; statistics
Babak Afshin-Pour	BioSymetrics Inc	Biomarker, data fusion, Alzheimer
Oluwaponmile Afuwape	Iowa State University	TMS
Sotiroula Afxenti	The Cyprus Institute of Neurology and Genetics	radiogenomics, radiotranscriptomics, imaging, omics
Rehan Afzal	University of Newcastle	cnn
Iman Aganj	Massachusetts General Hospital / Harvard Medical School	Brain connectivity
Deevyankar agarwal	Higher College Of Technology	MRI,Alzhimer DIsease,MCI
Tanay Agarwal	Vellore Institute of Technology	GAN
Ajay Agarwal	DIT University	Alzheimer's Disease, Progression
Varun Agarwal	N/A	The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge
Siddharth Agarwal	University of Nottingham	brain age, chronological age, delta, radionics
Abhi Agarwal	Health Banyan	Medical
Ishaant Agarwal	BITS Pilani KK Birla Goa Campus, Sancaole, Goa	Unet, segmentation, deep learning
Anay Aggarwal	Stoller Middle School	behavior test scores
Arshiya Aggarwal	Manipal University (MUJ) Jaipur	Alzheimer's, MCI, Early diagnosis, Convolution Neural Network
Kunal Aggarwal	Amity University	Machine Learning, AD, MCI
Atefe Aghaei	Shahid Beheshti University	image processing, segmentation, feature extraction, deep learning, classificatio
samira aghaie	Shahid Beheshti university	DTI
Asimina Aglamisi	Uiversity of West Attica	master, biomedical technology, thesis
Abramo Agosti	IRCCS Mondino Foundation	Neurodegenerative; Multimodal; Machine-Learning
Daniel Agostinho	Universidade de Coimbra	AD, Machine Learning
TARUN AGRAWAL	NIT HAMIRPUR	DNN, Medical Image
Vismay Agrawal	Indian Institute of Technology Madras	Medical Image Analysis
Christian Agudelo	University of Miami Miller School of Medicine	DTI, microstructure integrity, gray matter diffusivity, cognitive decline
Yésika Alexandra Agudelo Londoño	Universidad de Antioquia	dFC, resting state, based on task
Jorge Aguilar	District University Francisco Jose de Caldas	Machine Learning Alzheimer disease
Unai Aguilera	Mondragon University	PET, MRI, HSV
Rubén Aguilera García	Granada University	CNN, Alzheimer detection, deep learning.
Ifeanyi Aguocha	Cyprus International University	Deep Learning, medical diagnosis, Neural networks
Kawser Ahammed	Jatiya Kabi Kazi Nazrul Islam University	alzheimer
Asha Aher	San Jose State University	Machine Learning Alzhmeirs
Rauf Ahmad	Uppsala University, Sweden	High-dimensions; Multivariate statistics; Linear models, Dependence measures
Fawad Ahmad	Student	data mining
Shakeeb Ahmad	Indiana University	Alzheimer's Disease, Cerebral Amyloid Angiopathy
Hessam Ahmadi	Islamic Azad University, Science and Research Branch	fMRI, Non linear, graph theory, functional connectivity
Kourosh Ahmadi	Computing and Engineering	Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net
Fatemeh Ahmadi	Amirkabir University	Ricci Flow, Teichmuller space, metric
Sara Ahmadi-Abhari	Imperial College London	Genome, Metabolome, Neurodegeneration, Functional connectivity, Machine learning
Sara Ahmadi-Abhari	Imperial College London	Genome, Metabolome, Neurodegeneration, Functional connectivity, Machine learning
Alaleh Ahmadianshalchi	Washington State University	Machine-Learning
Maryam Ahmadzade	Simon Fraser University	MCI, Machine learning, AD, Progression, Prediction
soheil Ahmadzadeh	Tehran University of Medical Science	Alzheimer,machine learning
Khandakar Tanvir Ahmed	University of Central Florida	mutation, MRI image, Alzheimer
Juweiriya Ahmed	Western University	Psychosis, AD
Tahera Ahmed	Bond University	Alzheimer's, Early Detection, Prediction
Kamran Ahmed	Daffodil International University	AD detection
Hala Ahmed	Faculty of computer science	Bio informatics
Mughis Ahmed	UOG	Multiple sclerosis
Yong Yeol Ahn	Indiana University	network, multi-omics, data integration
Pratyush Ahuja	Jaypee Institute of Information Technology	Alziehmars disease
Helena Aidos	Faculdade de Ciências, Universidade de Lisboa	Deep learning, prognosis, patient profiles
Marco Aiello	Fondazione SDN	Diaschisis, PET, MR, connectome, brain connectivity
David Airey	Eli Lilly and Company	NfL hippocampus biomarker
Viljami Aittomäki	Nightingale Health Ltd	metabolomics, AD, Alzheimer's disease
Zou Aixiao	Beijing University of Technology	data mining，bioinformatics and brain science
Santiago Aja-Fernandez	Universidad de Valladolid	Diffusion MRI, anisotropy measures, robust estimation
Go Akamatsu	NIRS-QST	Tau PET analysis
abrar akas	Jordan university of science and technology	`PARKINSON
Reza Akbari Movahed	Tarbiat Modares University	Alzheimer,Machine Learning, Deep Learning, MRI
Oguz Akbilgic	Loyola University Chicago	deep learning, medical image analysis
Erdoğdu Akça	Marmara University Pendik Training and Research Hospital	MCI, ALZHEIMER'S DISAESE
Adeem Akhtar	Forman Christian College University (A Chartered University)	Longitudinal, Progression, Classification, Prediction
Vasily Akimov	HSE	Alzheimer, Neurovisualization
Essang Akpan	University of Pittsburgh	lateralization, asymmetry
Mohammad Akradi	Shahid Beheshti University	OSA, AD, MCI
Farhan Akram	Khalifa University	Alzheimer, early prediction, convolutional neural networks, deep learning
Wasim Akram	East West University	detection, deep learning, early-onset Alzheimer, mri
Muhammad Haroon Akram	Bahria University Islamabad	ALPHA
Mina Akrami	Bahonar	MRI images
Alexander Aksenov	UCSD	metabolomics
Leon Aksman	UCL	structural MRI, longitudinal analysis, imaging genetics
deniz aktas	TOBB Ekonomi ve Teknoloji Universitesi	internship
PRATHYUSHA AKUNDI	International Institute of Information and Technology Hyderabad (IIITH)	Registration with deep learning
Lior Al	Technion	Unsupervised learning
MD MAMUN AL AMIN	University of Queensland	Hippocampus, Subiculum, CA1, Dentate Gyrus
Hasan Al Marzouqi	Khalifa University of Science and Technology	deep learning, residual networks, constitutional networks, SNPs
Obada Al Zoubi	Laureate Institute for Brain Research	Machine Learning, resting-state fMRI, reproducibility
Hamada Al-Absi	Hamad Bin Khalifa University	Alzheimer Disease, prediction, deep learning
Bassam Al-Fatly	Charite University Medicine	fMRI, DTI, connectivity, severity
Ali Al-Nuaimi	Plymouth University	brain disorder
Manal Al-Qahtani	King saud university	Grey matter, MRI, Alzheimer, Education
Aws AL-ZARQAWEE	Universiti Malaysia Pahang	CNN,Softmax
FADHL ALAKWAA	MICHIGAN UNIVERSITY	drug discovery , drug repurposing
Mohammad Arif Ul Alam	University of Massachusetts Lowell	Deep Learning, Reinforcement Learning, Cognitive Decline, Explainable AI
Raquib-ul Alam	University of Sydney	longitudinal,mri,mri,pet,genetic
Wang Alan	WTU	deep learn
Oscar Alarcon Palomar	UNED	U-Net
Teresa María Alarcos Tamayo	WstartupC	ML, AI, Alzheimer
Raed Alazaidah	Universiti Utara Malaysia	Longitudinal data
Philippe Albouy	Université Laval	Morphometry
Tara Albrecht	Copenhagen Business School	gene, alzheimer, analyzing
Daniel Albrecht	University of Southern California	Amyloid, tau, CSF, blood
Jack Albright	Nueva School	Machine Learning, Student, TADPOLE
Ruth Alcala Lozano	National Institute of Psychiatry Ramon de la Fuente	Mild Cognitive Impairment. rTMS. Neuromodulation.
Sarael Alcauter	Instituto de Neurobiología UNAM	sulcal width, Alzheimer,
Irene Aleixandre Soriano	1997	alzheimer, project, software
Bomin Alex	Shandong University	fMRI, dynamic functional connectivy
PANAGIOTIS ALEXOPOULOS	University of Patras	neuropsychiatric symptoms, AD, activities of daily living
Fidel Alfaro Almagro	University of Oxford	Defacing
Jaafar Alghazo	Prince Mohammad Bin Fahd University	Alzheimer; Image Processing; Deep Learning; Medical Diagnosis
Lea Alhilali	Barrow Neurological Institute	Diffusion tensor imaging
Samr Ali	Concordia University	machine learning, hidden markov models
Haider ali	university of gujrat	fmri
Mohd Hanafi Ali	The University of Sydney	Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
YAQEEN ALI	Comsats university of Islamabad Lahore campus	White matter hyperintensities,ADNI,Segmentation
samire aliniyaee	Yazd University	Alzheimer, biomarker, psychopathology
Sadiq Alinsaif	University of Ottawa	classification; machine learning; deep learning; feature extraction
farzad alizadeh	tums	fmri,deep learning
Rawan Alkady	Misr international university	Bio informatics
Margaret Allard	University of Arizona	Diagnosis, Algorithms, Image Analysis
Shanmukh Alle	IIIT Hyderabad	Machine Learning, Disease diagnosis
Brandon Allgood	Integral Health	tau vaccine phII clinical trial design
Randa Almaktoum	Massachusetts General Hospital	WM/GM Ratio AD
fatema almawed	damascus	MRI images of alzaheimer disease
Ina Almdahl	Oslo University Hospital	Cerebrospinal fluid Amyloid Depression
Hannes Almgren	Ghent University	Effective connectivity, structural connectivity, cognition
Ibrahim Almubark	CUA	cognitive, neuropsychological
Fahad Almuqhim	Florida International University	Alzehimers, brain disorders
AMAL ALNASSER	KFSH	BREAST
Devansh Alok	Jaypee Institute of Information Technology	prediction, neural nets, deep learning, college project
eya aloui	enstab	data set predict alzheimer
Shannon Alptekin	Stony Brook University	machine learning, clinical research, Alzheimer's Disease, pathophysiology
Saif Aldeen AlRyalat	University of Jordan	Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Omar Alsaif	Northern Technical University	hicampus, MRI, Alzheimer classification
faisal alsalem	CICADA Imaging	PET
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
Liora Altman-Sagan	Northwestern University	Alzheimer's disease probability, Bayesian inference
Andre Altmann	University Collage London	Imaging Genetics, Next Generation Sequencing
Daniele Altomare	University of Geneva	biomarkers, Alzheimer, neuroimaging
Feras Altwal	Rosalind Franklin University	Alzheimer's disease
David Alvarez	Asturias Central Hospital	segmentation, hippocampus, deep learning, alzheimer
Eghosa Amadin	Stanford University	diagnosis
Miguel Amador	Tecnico Lisboa	Alzheimer, Biomarker, Connectome
Yahyah Aman	University of Oslo	Alzheimer’s disease, mitophagy, biomarkers
Ali Amanlou	Amirkabir University of Technology	machine learning , artificial intelligence , biomedical
SAI SANTOSH AMBATI	NITK SURATHKAL	Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
Felix Ambellan	Zuse Institute Berlin	Disease classfication, Statistical shape analysis, Manifold valued statistics
ACHAIBOU Amina	Ecole national polytechnique d'alger	TEP , detection , neurodegenrative deseas
Eriza Aminanto	University of Indonesia	classification, alzheimer
Nasrin Amini	Shahid Beheshti University of Medical Sciences	Alzheimer , MRI, classification
Osama Amjad	Bahria University	AD
Inge Amlien	Centre for lifespan changes in brain and cognition. Universitetet i Oslo	Lifespan, AD
Priscilla Amofa Sr.	University of Florida	iADLs, ECog, FAQ,
Nicola Amoroso	Università degli studi di Bari	Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
ZAREEN AMTUL	Independent Rsearcher	Alzheimer's disease, diagnosis
Lijun An	National University of Singapore	ML, AD
Meenakshi Anbukkarasu	San Jose State University	Predicting conversion from MCI to AD
Sami Andberg	University of Eastern Finland	Alzheimer's disease, early detection, machine learning
Christina Andica	Juntendo University Graduate School of Medicine	Diffusion MRI, Free-water imaging
Nicolas Andrade	University of California, Berkeley	machine learning, convolution neural network, support vector machine, decision t
Rene Andrade Rey	University of Alcala de Henares	vbm, alzheimer
Daniel Andreani	UBA	AD
Shea Andrews	Icahn School of Medicine at Mount Sinai	Alzheimer's disease; mitochondria; genetic variation
Ayush Aneja	Thapar Institute of Engineering and Technology	Machine learning project
Spyros Angelopoulos	Tilburg University	AI, neural networks
cucun angkoso	Institut Teknologi Sepuluh Nopember	feature reduction, deep belief net, alzheimer
Ahmadi Anis	Faculty of sciences of Tunis	Alzheimer's disease, machine learning
Farhan Anjum	University of Management and Technology	CNN
Nick Ank	scetech	image to image translation, GANs
Wang Anlan	WUhan Textile University	deep learning, Alzheimer's
Ananthalakshmi Annappa Pushpalatha	College of Staten Island- CUNY	Machine learning prediction AD MCI life expectancy
FAIZAH ANSARI	MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA	RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION
Shahab Ansari	GIKI	automatic brain segmentation, Alzheimer's disease, machine learning
Luigi Antelmi	INRIA	joint analysis; biomerkers
Febin Antony	Christ (Deemed to be University)	MRI, PET, Alzheimer's Data, Gray Matter. CSF
Augusto Antunes	MINER.IA	AI, Machine Learning, Inflammation, AD
Nmachi Anumba	Georgia Institute of Technology	Alzheimer's disease, MR imaging, classifier
Muzamil Anwer	Bahria University	335630
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
Eline Appelmans	Foundation for the National Institutes of Health	PPSB
Dace Apsvalka	Medical Reseach Council	Hippocampus
Arsen Arakelyan	Institute of Molecular Biology NAS Armenia	spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis
Gilderlanio Araújo	Federal University of Pará	association networks, non-coding RNA, eQTL, population genomics
Jose Aravena	Yale university	psychosocial; education; biomarkers; APOE-e4
Mohammad Arbabyazd	INS	reconstruction, virtualisation
Damiano Archetti	IRCCS Centro San Giovanni di Dio-Fatebenefratelli	computational models
Zaniar Ardalan	University of Arizona	Mild Cognitive Impairment, Convolutional Neural Network
Babak Ardekani	Nathan Kline Institute	MRI; Corpus callosum; shape analysis;
Eleni Aretouli	University of Deusto	intraindividual variability
Konstantinos Arfanakis	Illinois Institute of Technology	diffusion, DTI, registration
Konstantinos Arfanakis	Illinois Institute of Technology	mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker
nouha arfaoui	University	MCI
Ali Ozgur Argunsah	University of Zurich	AD detection, convolutional neural networks
Juan A. Arias	University of Santiago de Compostela	Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning
Kfir Ariel	Tel Aviv University	thesis, research methods, neurodegenerative diseases
Kazuto Arihara	The University of Tokyo Hospital	I will write it later.
Taylor Ariko	Florida State University	DTI, Alzheimer's Disease, connectivity
Ivan Arisi	Fondazione EBRI "Rita Levi-Montalcini"	Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
Maria Eugenia Ariza	The Ohio State University	early biomarker, AD progression, virus protein
Magnolia Ariza-Nieto	epIAWELL LLC	epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Aramin Armani	AmirKabir University	NeuroAnatomy
Steven Armentrout	Parabon Computation	MDR, epistatis, cloud computing
Rui Armindo	Hospital Beatriz Ângelo	ASL; Neuroimaging; Research; Teaching
Nicole Armstrong	National Institute on Aging	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Thomas Arnold	University of Pennsylvania	Cortical thickness, cortical atrophy
Matthias Arnold	Helmholtz Zentrum München	gaussian models, data integration, network analysis
priya arora	Thapar Institute of Engineering and Technology	Alzheimer disease
Jai Arora	Netaji Subhas Institute of Technology, New Delhi	Na
Marianne Arriola	University of California, Santa Barbara	modeling, connectivity, progression, structural, functional
FARAMIDA ARSHAD	MULTIMEDIA UNIVERSITY	fara
Emilio Artacho-Perula	University of Castilla-La Mancha	Alzheimer, Euclidean distances, MRI
Eivind Arvesen	N/A	machine learning, deep learning, ai, neural networks
Akhilesh Arya	Manipal University Jaipur, Rajasthan India	Alzheimer's Disease, AD, MCI, Neuro-degenerative
Samyam Aryal	SRM Institute of Science and Technology	Deep learning, Image enhancement, Filters
Amirhossein Arzani	Northern Arizona University	hemodynamics, blood flow, perfusion
Nibal Arzouni	USC	AD, Imaging genetics,
Hadis Asadi	Islamic azad university Central Tehran Branch	Medical radiation
Fatemeh Asadi	Tehran universityof medical sciennce	Alzheimer, machine learning
Maame Gyamfua Asante-Mensah	Skoltech	Neural Networks, Classification
adsad asdhkjashd	Stanford	ML AI
calvin Ashe	Maynooth University	Final year project; Students; Covid-19
Wes Ashford	Stanford	leptin, Alzheimer, blood, dementia
Miriam Ashford	NCIRE	Clinical
Al ashir	Dhaka International University	Brain anomaly
Olayide Ashiru	JHU Applied Physics Laboratory	precision medicine, Alzheimer's
vahid Ashkani Chenarlogh	Islamic Azad University Science and Research Branch	Super Resolution, Neural Networks, deep learning, image processing
rakhi ashok	IGNOU	ML
Azhaar Ashraf	Imperial College London	Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Naba Ashraf	GCUF	ASD
Amir Ashraf-Ganjouei	Tehran university of medical scienses	Machine learning, Neural network
mona ashtari	polytech	Alzheimer’s disease- MCI- classification
Krish Asija	St. John's High School	support vector machines,deep learning, neurological degeneration, Alzheimer's,
Breton Asken	Brown University	risk score, conversion, multivariate base rate, amyloid, ATN
Brianna Askew	Alzheimer's Disease Cooperative Study	dementia, intervention, risk factors
Eric Aslakson	Poiema, LLC	adni transmart
amara aslam	university of gujrat	Parkinson disease
farah aslam	University of engineering and technology,lore	research
amara aslam	university of gujrat	fmri
Farrah Aslam	University of Wah	Alzheimer disease prediction
Toshihiko Aso	Kyoto University Graduate School of Medicine	BOLD signal, cerebral blood flow, venous drainage
Assif Assad	Islamic University of Science and Technology	MAchine Learning Deep Learning ARTIFICIAL Intelligence
Meltem Atay	Middle East Technical University	Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Meltem ATAY	MIDDLE EAST TECHNICAL UNIVERSITY	Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Tushar Athawale	University of Utah	ensemble, uncertainty visualization
Umit Atila	Karabuk University	deep learning, classification, automatic disease diagnosis
Selamawet Workalemahu Atnafu	university of Bologna	Neurological disorder, Machine Learning, Alzheimer
Shamitha S Attur	Amrita Vishwa Vidyapeetham	Medical diagnosis, Fuzzy classifier, Machine Learning, Alzheimer's Disease
Michel Audette	Old Dominion University	hippocampus, atrophy, prognostic biomarker
Joseph Austerweil	University of Wisconsin - Madison	Sequencing Biomarkers, Machine learning, individual differences
Ambili AV	Hindustan college of arts and science	Brain multiplex, Correlative analysis, Dementia, discriminant analysis DNN, Fi
brian avants	Biogen	brain, thickness, ANTs, conversion, amyloid
Linda Avena	Ludwig Maximilians Universität	blood brain barrier, glymphatic system, ADNI MEM, ADNI Exec, atrophy, MRI
Luciano Ávila	FACIT	alzheimer pet-scan
Shivangi Awasthi	Merck & Co.	Alzheimer's, biomarkers
Ibrahim Awinle	Crescent University, abeokuta	White Matter, White Matter Lesion, T2*W, T2, FLAIR, T1
Sai Ayachit	The National Institute of Engineering	deep learning, major depressive disorders, MRI
Enes Ayan	Kırıkkale University	Alzheimer, Deep Learning, CNN, Medical Image Analysis
taha yassine ayari	esprit	Alzheimer AI DATA
Reina Ayde	Basel university	Deep learning image reconstruction
Beste Aydemir	Bilkent University	Course Projects, Alzheimer's, Bilkent University
Umme Aysha	University of Regina	Research
Scott Ayton	University of Melbourne	CSF amyloid b, tau, heart rate, blood pressure
Harry Azadbakht	TMU University	Alzheimer Disease, Prediction, Regression
Emanuel Azcona	Northwestern University	Graph convolutional networks, machine learning, MRI, graph signal processing
Syed Furqan Azeez	Biocliq Technologies	Brain Tumor
Fayez Azeez	Our Memos Inc	cognitive decline
Tiago Azevedo	University of Cambridge	fmri mri clinical
aniza Aziz	xylexa	genomic data
Ahmadreza Azizi	Virginia Tech	deep learning classifier
MIR AZRA	NIT Srinagar	DEEP NEURAL NETWORK, ACCURACY TEST
darnisa azzahra	Universitas UPN Jakarta	Alzheimer's image dataset
jawahar b	kongu engineering college	dataset
Athira B	TKMCE	Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise
Divya B	Stigmata techno solutions LLP	alzhiemer,ML
Rudhra B	IIITMK	PARKINSON
shwetha B	sjce	Alzheimers, MRI, Wavelets, SVM
Prathima B N	M S Ramaiah University of Applied Science	Computer aided diagnosis Mild cognitive impairment Alzheimer's disease MRI
Rajakumar B R	Resbee Info Technologies	Optimization, Classification, Computer aided diagnosis
Maowen Ba	Yantai Yuhuangding Hospital	rpAD;Prevalence;Biomarker
Abbas Babajani-Feremi	The University of Tennessee Health Science Center	Imaging biomarker; Early identification of the Alzheimer’s disease (AD)
Fatima Babar	G.C. Women university,sialkot	neuroimaging
AmanPreet Badhwar	CRIUGM, University of Montreal	neuroimaging, genetics
Lea Baecker	King's College London	machine learning, MRI
Daniel Baer	Medical University of South Carolina	Statistical model, Alzheimer's disease, longitudinal data, covariate selection
Steven Baete	NYU School of Medicine	Orientation Distribution Function analysis, Diffusion MRI
Ali Baghayeri	Shahrood University of Technology	preprocessing data
Ali Baghayeri	Shahrood University of Technology	ADNI data analysis
dhimas bagus teguh pambudi	Informatics	Machine Learning. Alzheimer
fatemeh bahadoran	babol noshirvani university of technology	alzheimer neural network
Alex Bahar-Fuchs	The University of Melbourne	Cognition, neuropsychiatric symptoms, mood
Elif Bahçekapılı	Yıldız Teknik Üniversitesi	Machine Learning, Disease
Yang Bai	WHUT	123456
Paul Baiju	AERO	AI
Abhijith Bailur	SJCE Mysore	MRI
Paul Baird	Centre for Eye Research Australia, University of Melbourne	AMD, genome wide, interaction
Zhang Baiwen	Beijing University of Technology	AD, MCI convert
Pradeep Bajracharya	RIT	MRI; Brain; Artifact
Reda Baka	Université des Sciences et de la Technologie d'Oran - Algerie	convolutional neural network, master's degree, AI, MRI, classification
Susan Baker	Janssen R&D	Diagonsis, Progression, Biomarkers
Ron Baker	University of Kentucky	Alzheimer's AD Dementia CARTS
Suzanne Baker	Lawrence Berkeley National Laboratory	AV45, R1
Mudathir Bakhit	Fukushima Medical University	DLPFC, tractography, connectome
Naman Bakhru	IIT Kharagpur	Hidden Markov Model, Bayesian networks
mahdi bakhshi	iran	brain
Akhil Bakhshi	KCL	Schizophrenia
Arnold Bakker	Johns Hopkins University	Entorhinal Cortex
Kavitha Bakshi	Ryerson	Medical Machine Learning
Abhishek Bal	Calcutta University	PET datasets, brain
PAVITHRA BALA	LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING	ALZHEIMERS , EEG
mohammad Balabandian	Iran university medical sciences	alzheimer
Helena Balabin	Fraunhofer Scientific Computing and Algorithms Institute (SCAI)	Machine Learning, Multimodal Classification
Andrea Balado	qubiotech	PET, MRI, quantification
Chetan Balaji	CIT Gubbi	Alzheimer's and Parkinson's Disease
Vibha Balaji	IISc	Computational analysis
kishore balasubramanian	Dr MCET	CNN, bio insired algorithms
Erica Balboni	University-Hospital Company of Modena	Hippocampal Segmentation Deep Learning
Marcos Balle	Universidad Politécnica de Madrid	T1, DTI, MCI, AD
Manas Bam	Bethany High School	Std 11 student, passionate, classify, early detection, community helping
Oluwaseun Adebayo Bamodu	Taipei Medical University - Shuang Ho Hospital	Proteome, Genome, Parkinson's Disease, Motor disorder, Cerebrum
parthi ban	VIT university	mri, alzheimers , CNN
Harsh Bandhey	IIIT Delhi	3D-CNN, Classification, MRI, MICCAI
Mantas Bandonis	Johannes Kepler University	labadiena
Dipankar Bandyopadhyay	Virginia Commonwealth University	DTI, tensor regression, spatial methods
Ji-In Bang	CHA Hospital	neuroimaging
Seojin Bang	Carnegie Mellon University	longitudinal; multimodal; clustering; machine learning
Katherine Bangen	University of California, San Diego	vascular risk, cerebral blood flow, amyloid
Waqas Bangyal	University of Gujrat(UOG), Gujrat, Pakistan	Deep Learning; Brain MRI Classification, 3D-CNN;
Mehri Baniasadi	University of Luxembourg	MRI segmentation
Rana Banik	Vanderbilt University	Medical Image Synthesis, Inhomogeneity study
Sarah Banks	UCSD	tau; alzheimer's; sex differences
Shuhei Bannae	Canon Medical Systems Corporation	Alzheimer disease
Leonie Banning	Maastricht University	Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Deepika Bansal	The NorthCap University Gurugram	Machine Learning, Deep Learning, MRI Image
SANCHIT BANSAL	the university of hong kong	-
Jaume Banus Cobo	INRIA	Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid
YIWEN BAO	University of Hong Kong	amyloid-PET
BaoZuPeng BaoZuPeng	China Jiliang University	Research
Rohan Bapat	Stony Brook	Machine Learning, Convolutional Neural Network
ali barati	tums	rs-fmri
Eduardo Barbará	Universidad Autónoma Metropolitana (UAM)	image processing data analize
Robert Barber	University of North Texas Health Science Center	Alzheimer's disease genetics
Justin Barber	University of Kentucky	neuropsych testing, education, amyloid, wmh
Philip Barber	University of Calgary	stroke; TIA; brain atrophy; dementia
Michael Barbine	Kinometrix Inc.	Health, Personalized Health, IPHA
Jordan Barbone	West Chester University	Independent, personal use
Adriano Barbosa da Silva	Queen Mary University of London	Machine Learning, Artificial Intelligence, Prediction
Steven Barger	University of Arkansas for Medical Sciences	amyloid, PIB, florbetapir, prescription, drug
IOANNIS BARGIOTAS	ENS CACHAN	Control, Alzheimer,PET images
Giuseppe Barisano	University of Southern California	perivascular spaces
chris barlow	The Open University	AD, Dementia, MCI, Biomarkers, Trisomy 21
Josephine Barnes	UCL Institute of Neurology	hippocampus, whole brain
Jude Baroudi	University of Pittsburgh	Alzheimer’s, Neuroimaging, Artificial Intelligence, Medicine
Sandra Barral	Columbia University	GWAS plasma beta amyloid
Hannia Barrera	University of California Davis	Brain, health equity, minority groups
Olivier Barret	CEA	Normalization, ATLAS
Kathryn Barrett	The University of South Carolina	Extra Credit
Matthew Barrett	University of Virginia School of Medicine	Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
Muhammad Hablul Barri	Telkom University	alzemier
Daniel Barry	Ulster University	Machine Learning, algorithm, classification
vera barstad	University of Agder	Deep Learning, 3DCNN,pointcloud
Antara Titikhsha Barua	Asian University for Women	AD
Chinmai Basavaraj	University of Arizona	MRI, fMRI, Deep Learning, Alzheimer's
Suryakanth Basavaraj	BMSITM	MRI,PET
Javaria Baseer	National University of Science and Technology(NUST)	CSF, blood, serum, Proteomics, Mass Spectrometry, Swaath analysis
SHAIK BASHEERA	ACHARYA NAGARJUNA UNIVERSITY	Alzheimer’s disease, Deep learning, Classification, Gray matter, Enhanced ICA
Abol Basher	Chosun University	Alzheimer
Usman Bashir	St Barts Hosptal	CNN
FAROUQ SADIK BASHIR	DIT UNIVERSITY	Alzheimer
Rodrigo Basilio	IDOR	DNN Machine Learning
Natalia Basimova	Moscow Institute of Physics and Technology	Convolutional Neural Nets, multiclass classification, regression models
Rani Basna	University of Gothenburg, Institute of Medicine	Alzheimer's disease, mild cognitive impairment, longitudinal,
Cher Bass	King's College London	generative models, deep learning, biomedical data
Arindam Basu	University of Canterbury	Alzheimer's Disease, TBI, Polygenic risk scores
Rikin Basu	Vellore Institute of Technology , India	deep learning , image processing , Alzheimer’s, diagnostics
ganga surendra basva	bharath university	datasets
Vishant Bata	Indian Institute of Technology,(BHU), Varanasi-India	PET Scans, Early Detection, Machine Learning
Layal Bata	Occidental College	Alzheimer's, shape analysis, machine learning
Veeky Baths	Birla Institute of Technology & Sciences, K. K. Birla Goa Campus	Cognitive diseases, Computational Neurosciences
Mark Battle	GE Healthcare	Centiloid, PiB, imaging windows
Pryangka Rao Batumalay	Ryerson University	Biomarkers and Alzheimer Disease Stages
Lucia Batzu	King's College London - Maurice Wohl Clinical Neuroscience Institute	Alzheimer's disease; MRI; neuroinflammation
Matthew Baucum	University of Tennessee Knoxville	machine learning, disease progression, time series
Roman Bauer	Newcastle University	computational neuroscience
Sarah Bauermeister	University of Oxford	machine-learning; cognition; socioeconomic status; lifestyle; early-life
Baris Baydargil	Kyungsung University	Alzheimer's disease, Medical Imaging, Deep Learning, Meta Learning
Gunes Bayir	Bogazici University	brain networks, graph neural networks
Peter Bayley	VA Palo Alto Health Care System,	CYP191A, hippocampus, apoe4, neuropsychology
Inci Baytas	Bogazici University	Long short-term memory, disease progression
Md Shamsuzzoha Bayzid	Bangladesh University of Engineering and Technology	Alzheimer's disease progression; Machine learning
Farideh Bazangani	Aix Université Marseille	machine learning
Derek Beaton	Baycrest	partial least squares, multivariate, genetics
Helen Beaumont	University of Manchester	diffusion DOC atlas
Lino Becerra	Invicro	asl, cbf
Laurel Beckett	UC Davis	Biostatistics
Joanne Beer	University of Pennsylvania Perelman School of Medicine	imaging, multi-scanner
Simone Beer	Forschungszentrum Juelich	quantitative PET
Mirza Faisal Beg	Simon Fraser University	MR, LDDMM, segmentation, registration, statistical shape analysis
kauser begum	The Center for Advanced Genomics	disease-variants diagnostics
Nazanin Beheshti	University of Houston	CNN, Spatitemporal locality, Classification,
Iman Beheshti	CERVO Research Center, Mental Health University Institute of Quebec	estimation, brain age, MRI
Rahmat Beheshti	University of Delaware	Multimodal data analysis, Synthetic data generation
Qumars Behfar	Cologne University hospital	Connectome
Hamid Behjat	Lund University	shape analysis, topological similarity, classification, early diagnosis
Hamidreza Behjoo	Skolkovo Institute of Science and Technology	CNN, Tensor decomposition
Jordan Behn	Northwestern University	PPA
Tina Behrouzi	University of Toronto	GSP for brain mapping
Nadja Bekele	EY	Deep Learning, Recurrent Neural Networks, Reinforcement Learning
Victoria Belancio	Tulane University	genetic variation
Mahanand Belathur Suresh	Sri Jayachamarajendra College of Engineering	AD,MCI
Sergey Belavin	Saint Petersburg University	Classification. Machine learning.
Alexander Belden	Northeastern University	DTI, Music Based Intervention, auditory, reward
David Belinsky	Stony Brook University	Computer Vision, GAN
Vincent Beliveau	Medical University of Innsbrucl	n/a
Maura Bellio	University College London	graphic user interface; MRI; disease progression models; neurodegenerative
Luis Beltran-Parrazal	Universidad Veracruzana	SVM-REF
amira ben rabeh	tunis	Alzheimer , CAD
maissa ben soussia	UNC	PET
Marc Benayoun	Wake Forest Baptist Health	convolutional neural network, AI
Federica Bencivenga	University of Roma "La Sapienza"	connectivity, fMRI, resing-state networks
Andrew Bender	Michigan State University	diffusion MRI, machine learning, latent factors,
Andreana Benitez	Medical University of South Carolina	MoCA, Item Response Theory
Lauren Bennett	Hoag Memorial Presbyterian	Alzheimer's disease, diabetes, verbal memory
Erin Bennett	The George Washington University Milken Institute School of Public Health	generalizability, epidemiology
Neal Bennett	Gladstone Institutes	metabolism
Takis Benos	University of Pittsburgh	graphical models, machine learning, systems biology
David Benrimoh	McGill University	Psychosis, schizophrenia, structural networks
Alexandre Bense	ETH Zürich	degeneration white matter prediction, deep learning
El Mehdi Benyoussef	Hassan 2nd University of Casablanca	Machine Learning, Image Processing, Alzheimer's Disease
Meryem Benyoussef	Sorbonne University	Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment
Seo Beomjin	Kyunghee University	DCSRN , MRI BRAIN image , super image resolution
Maurizio Bergamino	Laureate Psychiatric Clinic & Hospital	DTI; GQI; structural connectivity; prediction model
Derek Berger	St. Francis Xavier University	brain-extraction, skull-stripping, CNN, U-Net
Miles Berger	Duke University Medical Center	proteomics, CSF, Alzheimer's disease, MCI, cognition
Michael Berman	Hadassah Academic College	CT, MRI, Ultrasound, Imaging reconstruction, Deep Learning
Rachel Bernier	UC San Diego	sex differences; Alzheimer's disease; tau
Rachel Bernier	UC San Diego	sex differences; Alzheimer's disease; tau
Olivia Bernstein	University of California, Irvine	prediction, biased sample, clinical trials
Adam Bernstein	University of Arizona	Thalamus, Deep Learning
Stuart Berr	University of Virginia	PET
David Berron	Lund University	MTL, hippocampus, structure, preclinical AD, amyloid PET
David Berron	Lund University	MTL, atrophy, Abeta
Tessa Berry	Blue Cross Blue Shield of Illinois	deep learning, POC
Laiss Bertola	Universidade Federal de Minas Gerais	Genetics, using ADNI data as a teaching example, Friday Harbor
Maxime Bertoux	Inserm	Alzheimer, ATN
Lars Bertram	University of Luebeck	GWAS, EMIF, QTL, PGS
Olfa Besbes	ISITCOM http://www.infcom.rnu.tn/content/	Machine and deep learning, early detection
Pierre Besson	Northwestern University	Deep learning, prediction, big data
John Best	University of British Columbia	forecasting, TADPOLE, regression-based prediction
Richard Bethlehem	University of Cambridge	statistical learning, neuroimaging
Tobey Betthauser	University of Wisconsin-Madison	PET, neuroimaging, processing
Erin Beveridge	Canon Medical Research Europe	Brain segmentation, neurodegenerative disease, machine learning
William Bevis	University of WIsconsin, Madison	UI UX
Liudmila Beziaeva	Nant	deep learning Alzheimer
Archana Bhade	Government College of Engineering,Amravati	machine learning
Sayantan Bhadra	Washington University in St. Louis	generative model, MRI
Arijit Bhaduri	Jaypee Institute of Information and Technology	image-classification
Eui-hyun Bhae	korea advanced institute of science and technology	deep learning, Alzheimer's disease
Tushar Bhangale	Genentech	GWAS
Nikita Bhanot	National institute of technology, Jalandhar (INDIA)	alzhiemer, neural network, machine learning
Pradyumna Bharadwaj	The University of Arizona	MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID
Harsh Bhasin	Jawahar Lal Nehru University	MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
Chethana Bhaskara	University of Southern California	alzheimers, machine learning
Nithya Bhasker	TU Dresden	graph convolutional networks, disease prediction
Varsha Bhat	WorldServe	Image processing
Omkar Bhatavdekar	Johns Hopkins University	Deep learning, AI, Machine learning
Kirti Raj Bhatele	Rustamji Institute of technology, BSF Academy, Tekanpur	Machine learning, Deep learning, Alzheimer’s disease, Schizophrenia, Parkinson’s
Atanu Bhattacharjee	Tata Memorial Centre	Joint longitudinal modeling, time to event data, biomarker
SATARUPA BHATTACHARJEE	UC DAVIS	Analyze, Statistics
Debanjali Bhattacharya	International Institute of Information Technology Bangalore	Texture, shape, volume
ARINJITA BHATTACHARYYA	University of Louisville	shrinkage, logistic regression, variable selection, prediction
Sudeepa Bhattacharyya	Arkansas State University	metabolomics, neuroimaging
Pradnesh Bhike	AISSMS College of Engineering Pune	Study, CNN
SAJAN BHOSALE	SANJAY GHODAWAT UNIVERSITY	Alzheimer's Dataset
Qiuhui Bi	Beijing Normal University	DTI,metabolism,aging
Cheng Bi	Chinese Academy of Sciences	Medical image analysis; Artificial intelligence
Xin Bi	Northeastern University	brain network, fMRI, Alzheimer's Disease
shijia bian	EMORY UNIVERSITY	AD disease progressin
Chun Mei Bian	Tongji Medical College,Huazhong University of Science and Technology	bile acid;intestinal microorganism;Alzheimer's disease
Ayesha Bibi	University of Gujrat	Alzheimer's disease
Wajiha Bibi	Aston University	biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement
Abhinav Bichal	Att intern	Machine learning model, Biomarkers, Correlations, Data Scientists
Amen Bidani	IDeTiC	Alzheimer's, Machine Learning
Ricardo Bigolin Lanfredi	University of Utah	Visual dataset explanation, regression, adversarial training
mahtab bigverdi	sharif university of Technology	diagnosis method dataset
Murat Bilgel	National Institute on Aging	FDG, amyloid, DTI, MRI, atrophy, longitudinal
Ali Bilgin	University of Arizona	WMH, segmentation, deep learning
Benjamin Billot	UCL	segmentation, volumetry analysis
Reem Bin Hezam	Dublin City University	dementia, modifiable risk factors
song binbin	Donghua University	studying master;Alzheimer's disease
Ni Bingjie	Huazhong University of Science and Technology	Deep Learning、Neurofunctional assessment
Ni Bingjie	Huazhong University of Science and Technology	alzheimer's disease
Huang Bingsheng	Shenzhen University	AD, brain age
Huang BingYao	Beijing University of Posts and Telecommunications	joint modeling
Florian Birk	University of Tübingen	Hippocampus
Colin Birkenbihl	Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI	AETIONOMY, statistical comparism, modeling, validation
George Biros Biros	The University of Texas at Austin	Image registration, image segmentation, tau analysis, PET, MRI, machine learning
Joshua Bis	University of Washington	Alzheimer's disease, sequencing, ADSP
Sotirios Bisdas	University College London	Brain ageing; Cognition; Brain tumour
Ram Bishnoi	Medical College of Georgia	dementia, latent variables, neuroimaging
Joseph Bishop	Anthem Inc	Classification Machine Learning
Anna Bishop	Boston University	deep machine learning, MatLab, AlexNet, neural network
David Bissig	OHSU	retina, ocular
Subhrangshu Bit	Ramakrishna Mission Vivekananda Educational and Research Institute	Algorihtm, Machine Learning Preclinical Alzheimer's disease
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
Joshua Blake	LMU University Munich	Alzheimer Prediction, Alzheimer Detection
Paul Blanc	APHP	probabilistic FDG PET conditional variational auto encoder
George Blanck	UNIVERSITY OF SOUTH FLORIDA	immune receptors; complementarity determining regions; physicochemical features.
Emma Bluemke	University of Oxford	healthy ageing, neural networks
Jenna Blujus	UWM	Alzheimer's disease
Dominik Blum	University Hospital Tuebingen	Parkinson, Cognition, FDG, denoising
Stefano Blumberg	University College London	Experimental Design
Kaylee Bodner	Duke University Medical Center	Alzheimer's, neurofilament light, genes
Susan Boehnke	Queen's University	CSF biomarkers, lumbar puncture
Ronald Boellaard	University Medical Center Groningen	Image methodology, quantification, processing, classification
Bojan Bogdanovic	Ss. Cyril & Methodius University in Skopje	bioinformatics, prediction, AD, university
Craig Bohrson	Harvard Medical School	clonal hematopoiesis, Alzheimer’s disease, Dementia
Arun Bokde	Trinity College Dublin	MRI, grey matter, volumetric, hippocampus
Joseph Boldrey	Iowa State University	TMS, Neuromodulation, Magnetics
Luke Bonham	UCSF	FDG PET, MRI, Neural Network
Luke Bonham	Johns Hopkins	Alzheimer's disease, hydrocephalus, ventricular volumes
Leonardo Bonilha	Medical University of South Carolina	AD, Epilepsy, Deep Learning.
Ester Bonmati	University College London	coursework;matlab;
Brian Booth	University of Antwerp	MRI atlases, image registration, metric learning
Polina Borisova	NRU HSE	Topological data analysis, persistent homology, combinatorial Laplacians
arezoo borji	amirkabiruniversity	alzheimer-diagnosis-prediction
Kushal Borkar	International Institute of Information Technology, Hyderabad	f-MRI dataset
Léonie Borne	University of Newcastle	Anatomy, structural MRI, cortical sulci, machine learning
Alexandre Bortoli	Stanford	Tau ; prions ; AD
Christian Boschenriedter	Heinrich-Heine-Universität Düsseldorf	Parkinson's disease, machine learning
Anirban Bose	Chennai Mathematical Institute	Topological Data Analysis
Shirsha Bose	Jadavpur University	Found
Aditya Bose	Manipal University Jaipur	GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data
Nicholas Bott	University of California San Francisco	cognitive aging; structural imaging; inflammation
Johémie Boucher	Université de Montréal	neuropsychology of aging; alzheimer's disease; clinical research
bucha bouchra	FSt	1234
Salma Bougacha	INSERM	Alzheimer, spreading, tau, connectome
Wafa Boukellouz	university of ferhat abbas setif	MRI, CTm prediction
Olga Boukrina	Kessler Foundation	education; statistics, proportions, frequencies
Pierrick Bourgeat	CSIRO ICT Centre	Segmentation, registration, longitudinal study
Jessica Bourgin	Université Savoie Mont Blanc	Amygdala; Attentional network
Jessica Bourgin	Université Savoie Mont Blanc	emotion; attention; amygdala
thebti Boutheina	Monastir	neuro imagerie, alzheimer disease, multiple sclerosis
Emily Bove	Cogstate	Cogstate
Daniel Bowgett	Northumbria University	joint models, improved discrimination, biomarkers
Andrea Bozoki	Michigan State University	FDG-PET; PIB-PET; Alzheimer's disease
Jeffrey Brabec	University of Vermont	NetWAS, PheWAS, CNNs, Derived-phenotypes, Canonical Correlation Analysis
Nicholas Bradfield	St Vincent's Hospital Melbourne	Mild cognitive impairment; neuropsychology; memory
Tyler Bradshaw	University of Wisconsin	attenuation correction
Joana Braga Pereira	Karolinska Institute	CSF, MRI
Delfina Braggio	Pladema	hippocampus, shape, volume, deformation
Nadia Brancati	National Research Council of Italy	image processing
Lodewijk Brand	Colorado School of Mines	haploview, plink
Jose Bras	UCL, Institute of Neurology	Neurogranin, neurofilament light, biomarker, genetics
Maciej Brasewicz	Uniwersytet Szczeciński	Alzheimer
Meredith Braskie	USC	inflammation
Jana Bratanić	Faculty of science Split	alzheimer desease
Noa Bregman	Tel Aviv Medical Center	verbal fluency
James Brewer	UCSD	subregional change MRI, PET
Adam Brickman	College of Physicians and Surgeons, Columbia University	white matter hyperintensities, PIB, amyloid
Ross Briden	Brown University	MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis
Joshua Bridge	University of Liverpool	AI, Deep learning
Robert Bridges	Aegis Imaging Consultants	Hypometabolism
Danielle Briggs	Brigham and Women's Hospital	ADNI 3, LONI, coordinator
brizzle brizzle	Sichuan University Jincheng College	AI bigdata
Alex Harrison Brody	Yale University	Pyk2, florbetapir-PET, CSF amyloid beta, CSF tau
Esther Bron	Erasmus MC	Classification
Kévin Brou Boni	Centre Oscar Lambret	GAN, CT, MRI, pseudo-CT, radiotherapy
Jonathan Brouillette	Hopital du Sacre-Coeur de Montreal	Retinoic acid, Alzheimer's disease, Single-nucleotide polymorphisms
Rachel Brouwer	UMC Utrecht	longitudinal brain change, GWAS
Valerie Brouwers	Erasmus University Rotterdam	Predictability MMSE scores joint lasso method
Francesco Brovelli	University of Milan-Bicocca	conversion, MRI, amyloid PET, MMSE
Anastasia Brovkin	University Medical Center Hamburg- Eppendorf	Deep learning, biomarker, prediction, statistics
Thad Brown	Personal Interest	pydicom
Chiara Brück	ErasmusMC	Microsimulation modelling; Public health; Dementia; Epidemiology
Sarah Brueningk	ETH Zurich	Interpretability, machine learning, risk prediction
Divya Brundavanam	Karolinska Institutet	predictive modeling, multimodal MRI
Iva Brunec	University of Toronto	Hippocampus, Memory decline, fMRI
Irene Brusini	KTH Royal Institute of Technology	Structural MRI, segmentation, deep learning, shape analysis
Enrico Bruttomesso	MSC computer engineering student (Uninettuno International University)	alzheimer mri deep learning neural network dnn
Annie Bryant	Massachusetts General Hospital	tau, perfusion, blood vessels
Christopher Brydges	University of California, Davis	Bayesian statistics; research methods
Andrea Brzeczkowski	University of Wisconsin - Madison	pharmacokinetic, imaging
Rakshitha BS	christ faculty of engineering	Machine Learning , Deep Learning, Classification
Zhiqi Bu	University of Pennsylvania	Missing value imputation
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
Marco Bucci	Karolinska Institutet	PET, CSF
Hans-Georg Buchholz	University Medical Center	NEUROSTAT, SPM12
Bradley Buchsbaum	Baycrest Centre for Geriatric Care	fMRI PET correlation
Maciej Buciński	University of Adam Mickiewicz	Neuroimaging, Deep Learning, Data Science, Machine Learning
Katharina Buck	Roche Diagnostics	Elecsys CSF Measurements
Hudson Buck	Santa Casa de Sao Paulo School of Medical Sciences	Alzheimer, diabetes, hypertension, chronic diseases
Virginia Buckles	Washington University in St. Louis	DIAN ADNI
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,
Kauê Bueno	Universidade São Judas Tadeu	#deeplearnig #machinelearing #alzheimer
Hara Govinda Sai Praneeth Bugata	Indian Institute of Technology, Tirupati	Personalized Model, Bioinformatics, Machine Learning
Minh Bui	Thuy Loi University	Minh Bui
DANH bui	hufi	DNN
Duc Toan Bui	Sungkyunkwan University	GAN
Duc Toan Bui	Sungkyunkwan University	synthetic image, cycleGAN
Bao Bui Ngoc	Jeonbuk National University	Computer Vision, pattern recognition, segmentation
Luna Buitrago	SUNY Downstate Medical Center	Sphingosine-1-phosphate
Sayed Ali Raza Shah Bukhari	Jamil ur Rahman Ceter for Genome Research	Mitochondrial Genomes, Alzheimers
Santi Bullich	Life Molecular Imaging GmbH	florbetaben SUVR cutoff
Brendan Bullivant	University of California Santa Barbara	Machine Learning
Saurabh Bundela	Jabalpur University	Deep Learning, Image Analysis, Genetic and Proteomics biomakers
Ninon Burgos	University College London	PET synthesis
Haroon Burhanullah	Johns Hopkins University	Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging
Samantha Burnham	CSIRO	Alzheimer's; genetics, Validation, Longitudinal
Felicia Burtscher	University of Luxembourg	biomarker
Hendrik Burwinkel	Technical University Munich	Graph-based deep learning, machine learning
Tomasz Burzykowski	Center for Statistics	biomarker, Alzheimer's disease, biostatistcs
Eva Bus	Vrije Universiteit Amsterdam	Machine learning; Supervised machine learning; Prediction
Geraldo Busatto-Filho	USP	magnetic resonance imaging, cognitive reserve, PET, tau
William Bush	Case Western Reserve University	Loss of Y, Copy Number
Stephanie Buss	Beth Israel Deaconess Medical Center	cognitive reserve, exercise, education, music, social
Aurelie Bussy	McGill University	Hippocampus Segmentation Aging Alzheimer's Disease
Paul Butler	Biogen	neuropsychology, Alzheimer's disease, MCI, aging
Omar Butt	Washington Univeristy in Saint Louis	Resting State
Omar Butt	Washington Univeristy in Saint Louis	Resting State
Markus Butz-Ostendorf	Biomax Informatics	Big Data, semantic data integration, multimodal brain imaging, AD
Gonca Buyrukoglu	Karatekin University	ANN, Random Forest
Calin Buzea	IFT	medical physics
Punith BV	International Institute of Information Technology Bangalore	Punith, Punith BV
Samantha By	Hyperfine	segmentation
Gihwan Byeon	Seoul National University Hospital	Alzheimer, neurodegeneration, homocysteine
Jihyun Byun	University of Johannesburg	Alzheimer's Disease, computer-aided diagnosis, deep learning
Jiyoung Byun	KAIST	Alzheimer's disease
Michał Błotko	Silesian University of Technology	MRI, Alzheimer, Data Science
C C	c	c
Sreelakshmi C	htic	Deep learning
safna c a	CUSAT	Gene expression data
Ricardo Alonso Caballero Luna	Universidad de Monterrey	MCI, AD, CONVERSION
Emilio Cabañero	Universidad Autonoma de Madrid	degree project
Ryan Cabeen	USC LONI	tools
María del Rocío Cabello Toscano	Universitat de Barcelona	Cognitive Reserve; Alzheimer's Disease; Normal Aging; Functional Connectivity
Monia Cabinio	IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente	AD, HC, structural MRI, functional MRI
Ylermi Cabrera-León	Universidad de Las Palmas de Gran Canaria	Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
Xavier Cadet	Imperial College London	Machine Learning, Dementia
Samuel Cahyawijaya	HKUST	deep neural network, alzheimer disease, sequence modeling
Jiahui Cai	stu	AD
Chunting Cai	Xiamen Univeersity	cct724724
Jinhua Cai	Sun Yat-sen Memorial Hospital, Sun Yat-sen University	lipids, apolipoprotein, cognition
erik cai	wenzhou university	multimodal neuroimaging
Shangyu Cai	Szu University	AD FMRI
Hailin Cai	Chongqing University	AD,
Lingrui Cai	Ann Arbor Algorithms	autoencoder, unsupervised learning, feature extraction
Congbo Cai	Xiamen University	Image reconstruction, Multimodal image, Deep learning
bingyang Cai	SJTU	AD MRI PET
yan caiying	Nanjing Medical University	early diagnosis，Imageology，MRI
Ismael L Calandri	Fleni	Machine learning, normal ageing
Ryan Cali	UMass Medical School	Alzheimers, Machine Learning, Neuroscience
Maria Eugenia Caligiuri	Università degli Studi Magna Graecia di Catanzaro	DTI, morphometry, AD, MCI
Ana CALIN	Insa Rouen	Bayesian Networks
Brandy Callahan	University of Calgary	diagnosis, neuropsychology, dementia, mci, norms
Frederic Calon	Universite Laval	Alzheimer
Noelia Calvo	Universidad Nacional de Córdoba	cognitive reserve bilingualism aging
Eduardo Camacho	UPV	Artificial Intelligence, lesion segmentation
Aldo Camargo	University of Maryland of Baltimoree	Longitudinal study,ASL, PET-FDG,
Alex Campbell	University of Cambridge	deep learning, machine learning, fmri, diagnosis, unsupervised
Kylie Campion	University of Wisconsin-Madison	Tau and beta
Jacques-Yves CAMPION	Aix-Marseille University	machine learning, classify, alzheimer disease, fdg-pet, mri, discordance index
Martha Rebeca Canales Fiscal	Instituto Tecnológico y de Estudios Superiores de Monterrey	Machine Learning, Classification
Samuele Cancellieri	University of Verona	Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS
Vasco Candeias	INESC-ID	dynamic bayesian network, cloud computing, web, internet
Sema Candemir	The Ohio State University Wexner Medical Center	computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P
Marco Canevelli	Sapienza University	frailty, aging
Juan Cano	Uniandes	Machine learning, Diagnoses
Jose L. Cantero	Pablo de Olavide University	sleep2019
Jiguo Cao	Simon Fraser University	brain network, QTL mapping
Guanqun Cao	Auburn University	functional data, ADNI
Bing Cao	university of north carolina at chapel hill	medical image synthesis
Lingcan Cao	Xi'an Jiaotong University	brain network dynamics, default mode network
Yan Cao	University of Texas at Dallas	image analysis
Xuan Cao	University of Cincinnati	sMRI, fMRI, radiomics, generalized linear models
Bo Cao	University of Texas Health Science Center at Houston	Machine learning
yingli cao	Jiangnan University	study
DANIEL CAPON	BLOOD SYSTEMS RESEARCH INSTITUTE	protein engineering, antibodies, amyloid beta, biomarker
Camilla Caprioglio	University of Geneva	Alzheimer's disease, cognitive functions
Jared Cara	Vivid Genomics	Genomics, machine learning, prediction, co-morbidities, pathology
Chiara Carbone	Università degli Studi di Modena e Reggio	Hippocampus, PhD
filippo carducci	university of rome	PET AD
Bruce Carlson	Ohio University	education
Jeremy Carmasin	Massachusetts General Hospital	PIB FDG AD MCI
Owen Carmichael	UC Davis	cortical thickness
Diedre Carmo	Faculty of Electrical and Computer Engineering - UNICAMP	Deep Learning, Hippocampus Segmentation
Paula Carmona Gallego	Universidad autónoma de Manizales	Machine learning
Miguel Adolfo Caro Parrado	Universidad Nacional de Colombia	brain aging patterns
Thomas Carr	University of East Anglia / Norfolk & Norwich University Hospitals	Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
Valerie Carr	San Jose State University	teaching
Sarah Carr	Case Western Reserve University	amyloid, POSET
Minerva Carrasquillo	Mayo Clinic	CAA, neuroimaging, intracerebral hemorrhage, GWAS
ANGEL CARRILLO BERMEJO	INSTITUTO DE INVETSIGACIONES EN MATEMATICAS APLICADAS Y EN SISTEMAS	DEEP LEARNING
Fernando Carrió Argos	Instituto de Física Corpuscular - University of Valencia	Deep Learning, Super Resolution, FPGA
Caitlin Carroll	Wake Forest School of Medicine	glucose metabolism, Alzheimer's
Greg Carter	The Jackson Laboratory	epistasis, pleiotropy, genetic association
Jake Carus	Biogen	Symposium
Emily Carvajal	Universidad del Valle	preprocessing, standarization
Vítor Carvalho	IF SUDESTE MG	MRI Image, Machine-learning, Alzheimer's Disease
Sofia Carvalho	Universidade do Minho	neuroimaging, mri, alzheimer, prediction
Greg Cary	Jackson Laboratory	genetic association, drug targets
Adrià Casamitjana	Universitat Politència de Catalunya	PhD, machine learning, bioengineering, early stage of AD
Adrià Casamitjana	UCL	MRI, preclinical, machine learning
Ramon Casanova	Wake Forest University School of Medicine	Machine Learning, Regularization
David Cash	University College London	familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Isabella Castiglioni	National Reserach Council	AD, MCI, image classification, diagnosis, MRI, PET
Jose Maria Castillo-Secilla	University of Córdoba	AD, Alzheimer, Deep Learning, GPU
Camilo Castrillon	Universidad Autonoma de Occidente	Alzheimer disease, machine learning, Middle cognitive impairment, limitations
Mac Gayver Castro	University Center Christus	Alzheimer disease, imaging, algorithms
Eduardo Castro	IBM Research	longitudinal, Alzheimer's disease, multimodal, multivariate, predictive
JUAN ANTONIO CASTRO SILVA	UNIVERSIDAD DE SALAMANCA	medical image analysis, alzheimer's disease
Ana Sofia Castro Verde	Champalimaud Foundation	DTI rsfMRI
David Catanho	o8t	DICOM MRI T1
Francesca Catto	University Hospital Zürich	Alzheimer, PET, scans, raw data
Pedro Cavalcanti	UFRN	Image Processing, MatLab.
Michele Cavallari	Brigham and Women's Hospital, Harvard Medical School	amyloid, perivascular spaces, glymphatic
Enrica Cavedo	Qynapse	hippocampus
Kyra Cebula	University of Manitoba	brain imaging
Gaffari ÇELİK	Ağrı İbrahim Çeçen Universitesi	Alzheimer’s Disease, Deep Learning
William Ceriale	University of Washington	Machine Learning, Neural Network, Alzheimers
Ricardo Cerri	Federal University of Sao Carlos	machine learning, SNPs, Alzheimer Disease
Stefano Cerri	DTU	segmentation atrophy
Tess Cersonsky	Brown University	AD Risk, Machine Learning, Predictive Modeling
Hyunsil Cha	Kyunpook National University	fMRI
Hyunsil Cha	Kyunpook National University	MR image processing
Marwa Chaabane	Ecole nationale d'Ingénieurs de Sfax, TUNISIA	Alzheimer disease, fMRI, graph theory
Satish Chada	Pulmonary Services of North Texas	Machine Learning, Artificial Intelligence, MCI, AD, COPD
Clement Chadebec	Université de Paris	Deep learning, classification
Pavan Chaggr	University of Oxford	Alzhiemer's, morphology, degeneration
SABYASACHI CHAKRABORTY	Inje University	Alzheimer, Parkinson
ADITYA CHAKRABORTY	UNIVERSITY OF SOUTH FLORIDA	STATISTICAL MODEL, Alzheimer's disease,
Daniel Chalupa	Brno University of Technology	Pharmacokinetic Modeling, Multiple Classifier Systems
Jordan Chamberlain	The Pennsylvania State University	ADNI3 advanced diffusion, Siemens Advanced Prisma VE11C
Harshil Champaneria	Arizona State University	Research Project on Deep Learning
Eldon Chan	University of California, Berkeley	Deep Learning, Alzheimer's Recognition and Prediction
Kannie WY Chan	City University of Hong Kong; The Johns Hopkins University School of Medicine	MRI, AD, deep learning
Yi Hao Chan	Nanyang Technological University	Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets
Elaine Wan Ling Chan	International Medical University	SVM classifier for the determination of progressive deterioration of AD
Christina Chan	Michigan State Univ.	NCI-DREAM 8.5
Huang Chan-Yi	Acer	Brian MRI
Steven Chance	Oxford brain diagnostics	MRI, DTI, AD, MCI
Tirtha Chanda	University of Magdeburg, Germany	disease
Mayurakshi Chanda	National Institute of Technology Silchar	Deep learning, Neural network
Hannah Chandler	Cardiff University	MRI PET genetic risk
Trevor Chandler	Artificially Intelligent	Alzheimer’s, Amyloid, Memory, Brain
YASHVI CHANDOLA	GBPIET	ALZEIMER DISEASE, CAD SYSTEM
Avinash Chandra	King's College London	Alzheimer's disease; amyloid; tau; genetics
Harish Chandran	Griantek	correlation analysis, linear discriminant analysis, brain multiplex
Ya-Hsuan Chang	University of Kentucky	Data analysis
RUI CHANG	University of Arizona	Alzheimer's, Sex difference
Hui-Ming Chang	Chung Shan Medical University	VBM/AD
ali chang	Advantech	alzheimer
Timothy Chang	University of California, Los Angeles	Rare variant analyses, genetics, whole genome sequencing
Ze Chang	huazhong university of science and technology	diagnosis
Minyu Chang	Cornell University	Fuzzy-trace theory; factor analysis
QU chang	Hebei University of Technology	Dysfunction and stemness of tumor-infiltrating T cells are triggered by a common
Changgee Chang	University of Pennsylvania	integrative analysis, multi-task learning
Jose Chang Irias	Halmstad University	Convolutional nueral networks, Lewy body dementia, dementia detection
Monir Changizi	Shahidbeheshti university	sleep,insomnian,alzheimer's disease,dementia
RYU CHANJU	BUNDANG CHA HOSPITAL	Deep learning
Li Chao	Institute of Automation, Chinese Academy of Sciences	early stage, classification, MCI, AD
wang chao	North University of China	Wl940414.+0
Li Chao	Beijing Jiaotong University	Incompletion Multi-model Data learning,Missing Data Completion
James Chapman	UCL	Machine Learning Neuroimaging Brain Behaviour Associations
Zachary Chappell	Institute of Psychiatry, Psychology & Neuroscience, King's College London	Diffusion MRI, multicompartment models, MCI, AD
Christine Charvet	Delaware State University	Cortex
Danai Chasioti	IUPUI	polygenic, alzheimer's
Lina Chato	University of Nevada, Las Vegas	MRI brain images, T1, flair, T2
Snehashis Chatterjee	university of calcutta	DEEP LEARNING
PUBALI CHATTERJEE	UNIVERSITY OF CALCUTTA	Image Segmentation
Abhinaba Chatterjee	Weill Cornell Medical College	Deep learning
Wing Fung Chau	Cardiff University	Big Data, lipids and metabolites
Ganesh Chauhan	Centre for Brain Research, Indian Institute of Science	cerebral small vessel disease, genome wide association, vascular risk factors
Laurent Chauvin	Ecole de Technologie Superieure	Local Features, Subject Identification
Shital Chavan	SITS	MRI,CT,AD,MCI
Stylianos Chazichronis	National and Kapodistrian University of Athens	Alzheimer's disease, Supervised learning, AD development
Yanqiu Che	Penn State College of Medicine	MRI; Alzheimer's Disease; Machine Learning
Tongtong Che	Shandong Normal University	group-wise registration
Aditya Chebrolu	Brain Health Alliance	PET, MRI, co-registration, image fusion
Gal Chechik	Bar-Ilan University	Deep learning
Lovena Chedumbarum Pillay	University of Oxford	MCI, AD, Predictive Analytics, Amyloid
Christel Chehoud	Janssen	Deep Learning
GUILIAN CHEN	SHENZHEN UNIVERSITY	unsupervised segmentation
wuyang chen	Central South University	multimodal,registration
Dingfan Chen	max planck institute for informatics	Anomaly detection, deep generative model
Danni Chen	UCLA	deep learning, medical imaging, explainable AI, attention model
Ting-Huei Chen	Laval University	structural equation modeling
Fangzheng Chen	Shanghai Jiaotong University School of Medicine Ruijin Hospital	cognition AD
liangming chen	Lanzhou University	neural network, deep learning, Alzheimer
Lihui Chen	Sichuan University	Academic study
Hanyi Chen	University College London	subtype, disease progression, SuStaIn, AD
Qiufeng Chen	Fujian Agriculture and Forestry University/China	functional connectivity
HongGuai Chen	NCU	BDBC-2020
Li Chen	Indiana University School of Medicine	GWAS, functional analysis, meta-analysis
Sherry Chen	The University of Sydney	Frontotemporal dementia, longitudinal, neural correlates, cognition
Xin Chen	Shanghai East hospital, Tongji University, School of Medicine	Neurodegeneration, Alzheimer，cognitive impairment
Siying Chen	BUAA university	study
Xiao Chen	Amy Medical University, Daping Hospital	Amyloid PET, Alzheimer’s dementia, Amyloid staging
Baolin Chen	Shanghai Uiversity of Finance and Economics	functional data analysis, samples of density functions
Yu-An Chen	National Yang-Ming University	Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Xin Chen	University of Nottingham	Longitudinal image feature extraction; disease diagnosis.
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis
Yu-Chi Chen	Monash University	cortical morphology, machine learning
Chang-Le Chen	National Taiwan University College of Medicine	Diffusion MRI, White matter, Fiber cross-section
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis, algorithm
Jingyun Chen	NYU School of Medicine	PET, Tau, Abeta, normalization
Xiaozheng Chen	Xiamen University	neuroimaging, dynamic functional connectivity, deep learning,
YINGJIA CHEN	Genentech	safety
EDDIE CHEN	Stony Brook	machine learning, AI, MCI, AD
Kefan Chen	university of sydney	Alzheimer's patients
William Chen	MagQu LLC	Longitudinal study, differentiate diagnosis, neurodegenerative diseases
Tao Chen	Wuhan University	Alzheimer’s Disease, visual features, MRI
Jinyang Chen	University of Georgia	Deep Learning, Machine Learning, Disease Diagnosis, Classification
Jiu Chen	Nanjing Medical University	AD, aMCI, DTI, sMRI, fMRI
Keping Chen	Southeast University	AD； circular RNA
Yanxi Chen	Arizona State University	GWAS
yulong chen	zhengzhou university	MRI hippo subfeild segmentation
Yu Chen	Central South University	Do some researches about the AD
Gang Chen	Medical College of Wisconsin	fMRI, MRI
Tianhua Chen	University of Huddersfield	fuzzy systems, convolutional neural network, clinical decision support
Yiming Chen	University of Maryland	neural network
qiang chen	Donghua University	segmentation
Battle Chen	FZU	multi-modal
Xiaocong Chen	The University of New South Wales	Early Detection, Machine Learning
Ziliu Chen	Guangzhou University of Chinese Medicine	Aizheimer
Qian Chen	Nanjing Drum Tower Hospital	Subjective memory complaint, Neuroimage, Biomarker
jiaao chen	Queen's University	research
Junjie Chen	Temple University	computational methods, integrative analysis, casual factors
Lin Chen	Johns Hopkins University	MRI, PET
Meng Chen	Southeast University	early diagnosis
Xiang Chen	University of Leeds	Image Registration, Deep learning
Qianyun Chen	The Chinese University of Hong Kong	deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Yingchuan Chen	Beijing Tiantan Hospital	PD, fMRI, machine learning
Keyu Chen	Liaoning Normal University	Resting state; dynamic; fMRI; Classification
Zhi Chen	University of Electronic Science and Technology of China	computer vision, neuroimaging recognition, classification
yaru chen	Jiangsu university	Health analysis
sijie chen	Yitu healthcare technology	AD, classification, CNN
Li chen	national university of defense and technology	8722471
Yuhang Chen	University of Science and Technology of China	littlebear888
durong chen	shanxi medical university	Parkinson
Gengsheng Chen	Washington University in St. Louis	amyloid, gwas
Shuo Chen	National Innovation Institute of Defense Technology	deep learing, super resolution, medical imaging
Chao Chen	Stony Brook University	Image analysis, deep learning.
Xu Chen	SAS Inc	Machine Learning
Fang Chen	jackson state university	image deep learning Alzheimer's
Guan Wen Chen	NTHU	Alzheimer
Haifeng Chen	Affiliated Drum Tower Hospital, Nanjing University Medical School	memorry function; rTMS; multimodal neuroimaging
Kevin Chen	Stanford University	multimodal imaging, image post-processing, spatial resolution
JIANGWANG CHEN	SUNY BUFFALO	MRI
Yihe Chen	Second Affiliated Hospital，Zhejiang University School of Medicine	perivascular space
Dongxuan Chen	Southeast University	brain,classifier
Jason Chen	University of California, Los Angeles	Network analysis, TBM, personalized medicine
Huimin Chen	Beijing Tiantan Hospital, Capital medical university	cognitive impariment, perivascular space, Abeta/tTau
huachang chen	Vanderbilt University Medical Center	imputation; methodology; evaluation; bioinformatics
Sophie Chen	Beijing University of Technology	fMRI classification
Rong Chen	University of Maryland School of Medicine	machine learning
Jun Chen	University of Michgan	data fusion
Li Chen	University of Washington	Image processing
wu chen	Huazhong University of Science and Technology	image processing
Chang Chen	Nanjing Drum Tower Hospital, Medical School of Nanjing University	neurologist
Zihao Chen	Shanghai Jiao Tong University	MCI AD predicting model
Hao Chen	Shandong University of Finance and Economics	Brain Network Analysis, Alzheimer's disease, Classification
Ling Chen	Zhejianglab	Graph convolutional network
Xu Chen	University of North Carolina	MRI segmentation
Bingxu Chen	UCSD	Image Co-registration
Jinxin Chen	Chengdu University of TCM	alzheimer，sleep disorders，fMRI
Ming-Hui Chen	University of Connecticut	Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Xi Chen	University of Rochester Medical Center	APOE
Lele Chen	Nanjing University	fmir, lifestyle, AD, Comorbidity, brain network
Tianyi Chen	University of Sheffield	cj18954310106
Yanghaoyu Chen	UF	Machine learning
Ke CHEN	University of Nottingham	machine learning, early diagnose
Yuanyuan Chen	Northwestern Polytechnical University	Alzheimer’s disease; Mild cognitive impairment;Deep learning
Yuzhong Chen	UESTC	CNN AD
Irene Chen	MIT	machine learning, subtypes, disease progression
changhao chen	National Central University	CNN SVM LR
Liang Chen	University of Macau	miRNA, biomarker
Huan Chen	Johns Hopkins Bloomberg School of Public Health	FDR control, variable selection
Xiao Chen	Beijing Normal University	Alzheimer’s disease,defalut mode network
Lin Chen	Johns Hopkins University	MRI, PET
Dong Chen	Southeast University	cdx314159
Shuang-Qing Chen	the Affiliated Suzhou Hospital of Nanjing Medical University	Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning
Chen Zi Yang Chen Zi Yang	Guangdong University of Technology	ADNI ; GAN; image segmentation
Weili Cheng	North China University of Water Resources and Electric Power	Time-dependent ROC curves with missing biomarkers
Iris Cheng	Brown University	Alzheimer's, sex, apoe, cognition
Jiaqi Cheng	University of Canterbury	CNNs model interpretability
Ruida Cheng	NIH	brain segmentation and classification
YYUAN CHENG	JILIN UNIVERCITY	DATASET
Wai Ho CHENG	The Hong Kong Polytechnic University	AD and mild cognitive impairment
Chenganen Chenganen	GuangDongBaiYun University	ADNI; FCN; GAN; predict
Tanya Chenhall	Cogstate	Cogstate
Zhang Chenlin	Southwest University of Finance and Economics	010101icy
chenpeng chenpeng	The First Affiliated Hospital of Guangxi Medical University	ASL,fMRI,Cognitive impairment
Li Chenping	Central South University	Alzheimer's disease
EUNJEONG CHEON	Daegu university	dementia, biomarker
ibtissem cherfa	université de Bejaia	01031950
Anthony Chesebro	Columbia University	Network Model, Alzheimer's
Mark Cheung	Carnegie Mellon University	graph neural network, Spectral theory, neuroimage
Eva Cheung	University of HK	MRI PET AD MCI
Utkarsh Chhapekar	Manipal Institute Of Technology	Prediction, Alzheimers, Deep Learning
Jingyi Chi	University of Pennsylvania	Deep Learning, GAN, MRI
Gloria Chiang	UCSF	DTI
Yuhei Chiba	Yokohama City University	Immunoogy autoantibody MRI
Lee Chien-Yi	Brain Navi biotechnology company	AI, image registration
Matteo Chieregato	Fondazione Poliambulanza, Brescia, Italy	CNN, MRI, CSF
deng chijun	University of Electronic Science and Technology of China	fmri
Junichi Chikazoe	National Institute for Physiological Sciences	fMRI, MVPA
Geetha Soujanya Chilla	A*STAR	Segmentation
Sri sruthi Chilukuri	San Jose state university	Disease, outbreak, analysis , solution
Andrea Chincarini	INFN	longitudinal studies, MCI, network, atrophy measurements
Vernon Chinchilli	Penn State College of Medicine	GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS,
Konstantinos Chiotis	Karolinska Institutet	AD, MCI, PIB, FDG, AV-45
YOGITA CHITRIV	Yeshwantrao Chavan College of Engineering, Nagpur	Brain Image, Alzheimer, Segmenation, Classification
HyungJin Cho	University of Southern California	Alzheimer's Disease Neuroimaging Initiative (ADNI)
Dong Ho Cho	Korea Advanced Institute of Science and Technology (KAIST)	Machine Learning, Biomarker, Classification, Diagnostic
Youngjoo Cho	The University of Texas at El Paso	Survival analysis, Prediction models
Hyun Jae Cho	University of Virginia	knowlege extraction, machine learning, Alzheimer's disease
hyugrae cho	samsung electronics	AI, machine learning
Patricia Chocano-Bedoya	Bern Institute of Primary Care	metabolomics biomarkers dairy cognition
Sandra Chocron	UT Health San Antonio	ceramide catabolism
Mark Choe	NCIRE	Imaging, Processing
Young Min Choe	Dongtan Sacred Heart Hospital	Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
James Choi	Sabio Research	Alzheimer Machine Learning Neural Networks
Hongyoon Choi	Cheonansi Public Health Center	Metabolic network, FDG, Amyloid
Sunghoon Choi	Korea Research Institute of Standards and Science	Generative adversarial network, synthetic PET
Seo-Eun Choi	University of Washington	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
hyujin choi	korea university	hyunjin
Yu Yong Choi	Chosun University Hospital	ethnic differences, normal aging
Kyu Sung Choi	Korea Advanced Institute of Science and Technology (KAIST)	follow-up
byung hyug choi	KAIST / korea	machine learning, network embeddings, Alzheimer feature extraction
Junsik CHOI	Korea Univ.	Deep learning
Yoon Seong Choi	Severance Hospital, Yonsei University College of Medicine	Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
duck ho choi	Sung Kyun Kwan Univ.	Alzheimer
Woo Hee Choi	College of Medicine, The Catholic University of Korea	striatum, amyloid PET, tau PET
Yong-Ho Choi	hanyang university	Imaging genetics
Eun Young Choi	Stanford University	thalamus, rsfMRI
Anthipa Chokesuwattanaskul	King Chulalongkorn Memorial Hospital	Alzheimer's disease, mild cognitive impairment
chee keong chong	University Teknologi Petronas	CNN, deep learning, classification,
Jill Chotiyanonta	AnatomyWorks, LLC	Brain MRI, Neuroanatomy, Segmentation
Hsiang-Chin Chou	Massachusetts General Hospital	SEX, 18F-Flortaucipir (FTP)-PET signal, Abeta-PET
SOURABH CHOUBEY	Indraprastha Institute of Information Technology Delhi	Detection, Machine Learning, Diagnosis
Amit Choudhari	Tata Memorial Hospital	dti
Vincent Chouraki	Institut Pasteur de Lille	GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Ioanna Chouvarda	VTT	network analysis, causality
Samadrita Chowdhury	University of Massachusetts,Lowell	Graphs, CNN, PET, FMRI
Luke Christenson	Mayo Clinic	Data, MRI, PET
FOTEINI CHRISTIDI	ADVANTIS MEDICAL IMAGING	multimodal neuroimaging; ageing; dementia; neurodegeneration
Amanda Christini	Blackfynn, Inc	Algorithms, data integration, multimodal data biomarkers
Nan Chu	National Central University/CWLab International	brain image data bank, AI analytics, neurotechnology
Winston Chu	University of Florida	diffusion MRI, AD, free water, basal forebrain
Chu Yang Chu	China Jiliang University	Research, learning
Russ Chua	Institute for Infocomm Research	computer vision
michelle chua	Melbourne Heath	alzheimers
Adichan Chuajinda	Siriraj hospital	Dementia risk
jayrajsinh chudasama	Birla Vishvakarma Mahavidyalaya	dataset mri image with label
Evgeny Chumin	Indiana University-Bloomington	connectivity, tau, graph theory.
Ina Chun	n/a	CNN, visualization, deep learning
Timothy Chun	Veteran's Affairs	Machine Learning
Chang Chun Yang	National Cheng Kung University	Alzheimer , Amyloid PET
Chang Chun Yang	National Cheng Kung University	Amyloid PET
Tung Chun-Wei	Taipei Medical University	biomarker research
Hyun Jy Chung	Stony Brook University	FWER
Yunro Chung	Arizona State University	Biostatistics; biomarker
Ming-Hua Chung	Radiologics	resting state fMRI DICOM
Jaeyoon Chung	Boston University School of Medicine	GWAS CSVD stroke ICH
shi chunlei	Beijing Normal University	Machine Learing,Hidden information
Tang Chunyan	The second affiliated of Chongqing Medical University	tcy972626
jiang chunyu	NEU	jcyypbed627!
YJ CHYU	Brain institue	Thank you
Silvia Ciappelloni	OnePoint Group	images analysis AI deep learning
Andrea Ciarmiello	Medicina Nucleare - S. Andrea Hospital	Mci trajectory, Deep learning, onset prediction
Alessandro Cicerale	Università degli Studi di Torino	Hippocampus, ml
Filippo Cieri	Cleveland Clinic	resting state; entropy; mci; cognitive reserve.
Ignacio CIfre	URL	fRMI, dFC, FC
David Clark	Indiana University	Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency
Andrea Clark-Sevilla	Johns Hopkins APL	precision medicine, brain biomarkers
Jamie Clarke	University of Miami	CSF biomarkers, Alzheimer's disease, NPS, NCI
David Clayton	Genentech	image processing, Alzheimer's disease, MRI
Mark Clement	Brigham Young University	DREAM Challenge
Albert Clèrigues	Universitat de Girona	atrophy, pbvc
David Clunie	PixelMed Publishing and RadPharm, Inc	DICOM compression
William Coath	UCL (University College London)	PET, amyloid, SUVR, Centiloid
Bernard Cobbinah	University of Electronics Science and Technology of China	Convolutional Neural Networks
Yann Cobigo	Unversity of California San Francisco	Dementia, Normal Aging
Leandro Coelho	Pontifical Catholic University of Parana	machine learning, fMRI, deep learning.
Mirthe Coenen	UMC Utrecht, The Netherlands	white matter hyperintensity, memory clinic patients, lesion symptom mapping
Hugo Cogo-Moreira	Universidade Federal de Sao Paulo	Dynamic structural Equation modeling, latent variable, multilevel analysis
Petrice Cogswell	Mayo Clinic	MRI, aging
Cynthia Cohen	California Southern University	Alzheimers
Carl Cohen	SUNY Downstate Medical Center	Alzheimer's disease; cognition, course trajectory
Brett Cohen	King's College London	MCI, MRI, phantom
Melanie Cohn	UHN - Toronto Western Hospital	Basal Forebrain
James Cole	Imperial College London	Aging, Machine learning, T1, DTI
Diego Collazos-Huertas	Universidad Nacional de Colombia sede Manizales	Deep Learning, Convolutional Neural Networks, Data Representation
Patrick Colletti	USC	Dementia; FDG PET; MRI volumetry
David Collier	Eli Lilly and Company Ltd	Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s
Robert Comley	Abbvie inc	PET, MRI
Zhen Cong	Dalian University of Technology	Image Translation
wamg congcong	anhuidaxue	Visual medicine
yin congfeng	Tsinghua University	experiment, deep learning models
Lindsay Conner	University of Central Florida	Adult Development and Aging; Healthy Aging; functional connectivity; structural
Joanne Conover	University of Connecticut	Aging, Alzheimer's disease, MRI, FLAIR-MRI
Cat Conti	NCIRE	admin core
Shanna Cooper	UCSD	tau, NPS, cognition
Shanna Cooper	VA San Diego / UC San Diego	NPI, family history
Michael Coopman	University of Texas at Arlington	Medical image registration, Image segmentation, Voxelmorph, Deep learning
Devani Cordero	Massachusetts General Hospital	segmentation hippocampus
Aldo Cordova Palomera	Takeda	Neuroimaging, Genetics, Neurodegeneration
Ronal Coronado	Biomedical Imaging Center, Pontificia Universidad Catolica de Chile	Gridding artifacts
John Corradi	Arvinas, Inc.	CSF, biomarkers, proteostasis
Nicole Corso	Stanford University	default mode networks, networks, imaging
Constanza Cortes	University of Alabama at Birmingham	exercise, skeletal muscle, CNS aging, Alzheimer's Disease
Ana Sofia Costa	University Hospital RWTH Aachen	amyloid deposition, microangiopathy, microbleeds, phenotype, progression
Bruno Costa	USP	CNN
Gabriele Costante	University of Perugia	RNN AD PET
Alejandro Costoya-Sánchez	University of Santiago de Compostela	Alzheimer's Disease, PET imaging, tau pathology, Flortaucipir
Victor Costumero	Universitat de València	mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard	CNS-Fed	Neuropsychology, Aging, Eye movements, Vision
Gillian Coughlan	Baycrest	Biomarkers, Alzheimer's disease, resting-state fMRI
Pierrick Coupé	LaBRI UMR 5800	hippocampus
Matthieu Coupet	XLIM	Deep learning MRI
Megan Courtman	University of Plymouth	Parkinsons Disease, machine learning, AI, neural networks, MRI
Elizabeth Couser	University of Maryland, Baltimore	imaging, Alzheimer's
Oliver Cousins	King's College London	TREM2 CD33 genetic Alzheimer's risk factors.
Baptiste Couvy-Duchesne	Institute of Molecular Bioscience	Advanced brain aging, prediction, structural MRI
Hannah Cowley	Johns Hopkins University Applied Physics Laboratory	connectomics, precision medicine, data science
Kevin Coyle	Florida State Univeristy	Machine Learning Biomarker Nueral Network Early Identification Infomation.
Breanna Crane	Vanderbilt University	Atrophy, Connectivity, MCI
Skyler Cranmer	The Ohio State University	functional connectivity, deep learning, exponential random graph models, LSM
Byron Creese	King's College London	polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
Samuel Crerar	University of Hull	deep learning analysis prediction
Carlos Crespo	Methinks Software	Deep learning
Ariela Crestani	Sao Jose do Rio Preto Medical School (FAMERP)	lipid metabolism, protein modification, palmitoylation, metabolomics, lipidomics
Ivor Cribben	University of Alberta	Networks; Longitudinal networks; Resting state
Alessandro Crimi	University of Zurich	radiogenomics
Alexandru Cristiean	University of Sussex	bachelors
Greg Cron	The Ottawa Hospital	perfusion, ASL, DCE, DSC, MRI
Philip Crooke	Vanderbilt University	A-to-I editing, inflammation, biomarkers
Carlos Cruchaga	Washington University School of Medicine	CSF, plasma, RBM, GWAS, whole-genome
Erica Cruz	Old Dominion University	Machine Learning, Deep Learning, Alzheimers Disease
Hugo Cruz-Suárez	Benemérita Universidad Autónoma de Puebla	Big Data, Hidden Markov Models, Stochastic optimization
Math Cuajungco	California State University Fullerton	Neuroscience
kunpeng cui	ZhengzhouUnivercity	medical image registration
Jing Cui	GSK	endophenotype GWAS, subtype AD
JIANAN CUI	Massachusetts General Hospital	medical image processing
Dong cui	1978	cd_ggh100200
Jing Cui	Centre hospitalier universitaire vaudois	The Human Brain Project
Licong Cui	The University of Texas Health Science Center at Houston	Informatics tool, ontology, hypothesis generation
Kamryn Cullen	George Mason University	Biomarkers, Data Analytics, Health Factors
Irene Cumplido Mayoral	BarcelonaBeta Brain Research Center	amyloid, machine learning, prediction, classification
Charles Cunningham	University of Toronto	13C lactate ANLS
Geoff Currie	Charles Sturt University	artificial neural network, machine learning
Sean Curtin	IAM	Alzheimers vs. Healthy Brain Research
Scott Curtis	Newcastle University	Machine Learning, Deep Learning, Undergraduate, Dissertation, Research
David Curtis	UCL	sequence variant DNA
Daniel Cutter	University of Birmingham	CNN, conv net, convolutional neural network
Renjith CV	JSPM RSCOE	deep learning
Max Cynader	University of British Columbia	Alzheimer's Disease, machine learning, cognitive impairment risk
Esha Cyril	Pioneer Academics	highschooler, neural networks, ADNI data
Alexis Czippel	University of Victoria	Superagers, superaging, functional connectivity
Per Steffen Czolbe	University of Copanhagen	Medical Image Registration
ty d	Shanghai Maritime University	fMRI
Federico D'Agata	University of Turin	hippocampus; machine learning
Giovanni D'Ambrosio	University of Guelph	Impact, MRI,
Arthur da Silva Neumann	Universidade Federal do Rio de Janeiro	biomarkers, plasma, CSF
Baik Da young	Hankuk University of Foreign Studies	medical image analysis with deep learning
Sanaz Dabiri	Howard University	Alpha-synuclein, inflammation, tau, AD
Zhang dachuan	FUDAN UNIVERSITY	study
Michael Dada	Federal University of Technology, Minna, Nigeria	Machine learning, MRI, ANN
Mahsa Dadar	McGill University	small vessel disease, white matter hyperintensities
Mahed Dadgostar	MISP_mui	fmri nifti
Kamalaker Dadi	INRIA	fMRI
Anant Dadu	UIUC	Machine Learning, Predictive Modeling, Alzheimer's Disease, Progression
Jeffrey Dage	Eli Lilly and Company	Biomarkers
Dale Dagenbach	Wake Forest University	functional connectivity, hubs, AD
Joseph Dagher	The MITRE Corporation	T1w, MRI, identification, biometrics
yousra dahdouh	fst	image medical,biomarquer
Robert Dahnke	University Aarhus	gyrification
Zhengjia Dai	Sun Yat-sen University	Alzheimer's disease; functional connectivity; structural connectivity
Zhengjia Dai	Sun Yat-sen University	Alzheimer's disease; functional connectivity; model
Xiangwei Dai	Beijing Normal University	amyloid deposition, grey matter
Zongyu Dai	University of Pennsylvania	Missing data imputation
yulin dai	University of Texas health science center at Houston	GWAS, CSF tau concentration, AD
Peng Dai	Ryerson University	deep learning, LSTM, explainable AI
tomomi daigo	Nara Institute of Science and Technology	medical image synthesis
Ryo Dairiki	Eisai Co., Ltd.	MCI-to-AD-conversion
Hiromitsu Daisaki	Gunma Prefectural College of Health Sciences	Deep learning AI PET
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
Anders Dale	University of California, San Diego	image analysis, statistics, test and validate
Pablo Damasceno	UCSF	neurodegeneration; brain atrophy; neuropathology
stefano damiani	The Royal Hospital	Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Haleh Damirchi	Amirkabir university of technology	Neuroscience, machine learning, Statistics
Jessica Damoiseaux	Wayne State University	functional connectivity, hippocampus, cognition
hong dan	xiamen	study adni
hong dan	xiamen	study adni
Christa Dang	University of Melbourne	cognition, MRI, APOE, longitudinal, biomarkers
huy dang	Penn State University	functional data, spiky data, function estimation
jiajun dang	qiqihaerdaxue	数据
Ebenezer Daniel	City of Hope	MRI
Garrison Danley	Mass General	mri, motion, artifacts
Christian Dansereau	Perceiv Research, Inc.	Biomarker, progressors prediction, cognitive decline
Hákon Dansson	Chalmers University of Technology	AI, Machine learning, β-amyloid, plaques
GOWHAR DAR	LOVELY PROFESSIONAL UNIVERSITY PUNJAB	CNN,DEEP LEARNING,AUTOMATED
Rayees Dar	Islamic University of Science and Technology	CNN, Deep Learning, Artificial Intelligence, Medical Imaging
Sumanth Dara	University of California Riversid	MRI, Substantia Nigra, Locus Coeruleus, Machine Learning
Ryan Darby	BIDMC	cognitive reserve, executive, semantic, neuroimaging
Oscar Darias Plasencia	Universidad Internacional de La Rioja	Alzheimer, machine learning, artificial intelligence
Caroline Dartora	PUCRS	Brain Connectivity, Alzheimer's Disease, MRI, PET
Dulumani Das	Gauhati University	Image Processing . segmentation. MRI.
Priya Das	Kalinga Institute of Industrial Technology	biomarker, machine learning, MRI, AD
eashita das	Dr. Eashita Das	data mining, analysis
Ayantika Das	HTIC,IITM	Classification of brain MRI
Sandhitsu Das	University of Pennsylvania	hippocampus MCI
Shikta Das	C4X Discovery	genomics, taxonomy 3, whole genome sequencing, genome-phenome analysis
Priya Das	Kalinga Institute of Industrial Technology	biomarker, machine learning, MRI, AD
Srihitha Dasari	iResearch Institute	Alzheimer's disease, gray matter, white matter, hippocampal volumetry, MRI
Aishee Dasgupta	Chennai mathematical Institute	TDA
Ashkan Dashtban	University College London	Brain Imaging, Cognitive Impairment
Adam Datta	SWPS University of Social Sciences and Humanities	convolutional neural network, image identification, MRI, Alzheimer’s Disease
Rohan Datta	Army Institute of Technology	deep learning, fMRI, CNN
Deana Davalos	Colorado State University	TBI, biomarkers, dementia, pathological aging
Christos Davatzikos	University of Pennsylvania	classification, MCI, conversion to AD
Alice Davies	University of Birmingham	neuroimaging, dementia, machine learning
Cintia Davila Rodriguez	Illinois Institute of Technology	deep learning classification
Andrew Davis	University of Bath	clinical progression
Wade Davis	FAU	MTL, EMCI
Ragavamsi Davuluri	Gudlavalleru Engineering College	Alzheimer
Neil Dawson	1974	Biomarkers, Neuro degenerative Diseases,Cellular Death
Eran Dayan	University of North Carolina at Chapel Hill	resting state, connectivity, machine learning
Arijit De	Jadavpur University	classification; prediction; alzheimer's
Bianca De Blasi	Ixico	Medical imaging analysis, Biomarkers
Renske de Boer	Quantib B.V.	evaluation, segmentation
Marleen de Bruijne	Erasmus Medical Center	image analysis
Manlio De Domenico	Universitat Rovira i Virgili	Multilayer networks
Robin de Flores	University of Pennsylvania	MTL tau atrophy AD
Johann de Jong	UCB	patient stratification, disease progression
Siemon de Lange	University Medical Center Utrecht	connectome, structural connectivity, Alzheimer, MCI
Alberto De Luca	UMC Utrecht	diffusion MRI, connectivity
Ashley De Luna	University of California, Merced	classification, neural networks
Amy De Lury	Stony Brook University	Alzheimer's Disease, MCI, MRI, cortical thickness, subcortical volumes
Matteo De Marco	University of Sheffield	Alzheimer's disease, mild cognitive impairment, resting state
Fernando de Natali Frascá	Universidade Federal de São Carlos - UFSCar	segmentation, medical images
Lorenzo De Rosa	universita di Siena	PBVC/y_MCI_AD_MS
Micol de Ruvo	Philyra UG	Parkinson's, olfaction, machine learning
Eric de Silva	University College London	polygenic risk scores; cardiovascular disease
Maria Stefania De Simone	IRCCS Santa Lucia Foundation	Mild cognitive impairment; Memory; Voxel-based morphometry; Longitudinal study
Edson de Sousa Silva	IESB	Machine Learning Biomarkers Artificial Intelligence Deep Learning
Eduardo Felipe de Souza	UFAL	deep learning, medical imaging
Wieske de Swart	Radboud University Nijmegen	Alzheimer's disease, deep learning, multi-modality, incomplete data
Javier De Velasco Oriol	Instituto Tecnologico y De Estudios Superiores de Monterrey	Machine Learning, Deep learning, Genomics
Rashid Deane	University of Rochester	Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
Alison Deatsch	University of Wisconsin - Madison	FDG PET, deep learning, CNN, diagnosis, biomarker
Summer Decker	University of South Florida Morsani College of Medicine	morphometrics
Berina Dedovic	Faculty of Electrical Engineering University of Sarajevo	dataset; alzheimer; eeg
Ana Defendini	University of Pennsylvania	Imaging
samuella degbey	Altran	image processing brain pathology
Hamed Dehghani	Neuroimaging and Analysis Group (NIAG)	machin learning, agnig, cognitive impairement
Farzaneh Dehghani	University of Esfahan	Alzheimer's disease, deep learning
PRIYANUJ DEHINGIA	ASSAM ENGINEERING COLLEGE	Alzheimer's, Deep Learning
NILAM DEKA	ASSAM ENGINEERING COLLEGE	ALZHEIMERS DATASET
Martina Del Giovane	Imperial College London	dMRI, dementia, neuropsychiatric, neurodegeneration
Zoe Delaney	The University of Sydney	Machine Learning
José Micael Delgado Barbosa	International Institute of Neuroscience	Brain, Blob Analysis, Active Contour based
Andrea Dell Orco	Charite Berlin	wmh
Stefano Delli Pizzi	Univesity of Chieti-Pescara	Alzheimer's Disease, Biomarkers
Olivier Delrieu	SAS FifteenKay	Consulting, C4X Discovery Ltd
zeynep demir	University of California San Francisco	ADNI
Beatrice Demiray	Technical University Munich, Germany	Deep Learning; Neural Networks; Detection; Segmentation; Multi-Modal
Yutong Deng	ShenZhen University	ASL;MRI
ZhengZheng Deng	Shanghai Brain Science and Brain-Inspired Intellegence	data-mining, big data, Alzheimer's disease
lingling deng	CSU	AD
ANNAN DENG	East China Normal University	Classification; elastic net; functional logistic regression; Haar wavelets; PCA;
Yatsen Deng	Harbin Institute of Technology	AD hippocampus morphological changes
Shiling Deng	Chongqing University of Posts and Telecommunications	undergraduate thesis, academic usage
Simin Deng	Tungwah Hospital of Sun Yat-Sen University	Subjective cognitive decline
Rezwan Derakshan	urmia university	data mining
Thomas DeRamus	GSU TReNDs Center	Brainhack
Natan Derek	Southern Taiwan University of Science and Technology	FMRI, DEEP LEARNING
amine derra	hassiba ben bouli	AI
Amit Desai	Mayo Clinic	Dementia, atrophy, cinematic rendering
Vijayalakshmi Desai	Dayananda Sagar Academy of technology and Management	Alzheim disease, Capsule networks, Artificial neural networks, Convolution layer
Hemal Desai	St. Xaviers	Alzheimer
pranav desai	scet	machine learning
Shekha Desai	Vishwakarma Government engineering college	Early detection of AD, ML approach for AD diagnosis
Marie Deserno	University of Amsterdam	autism, neurodegenerative disorders
Yash Deshmukh	University Of Keele	research proposal only
Akshay Deshpande	University of Queensland	machine learning, artificial intelligence, healthcare
Antoine Désilets	Université de Sherbrooke	GPR3, GPCR
Anita DeStefano	Boston University	Alzheimer, genetics, association
Kacie Deters	Stanford University	genetics, imaging, cognitive decline
Vivek Devadas	Banner Alzheimer's Institute	Kewei Chen
Gabriel Devenyi	Douglas University Mental Health Institute, McGill University	MRI
Virginia Devi-Chou	Robert Wood Johnson Medical School	Neurodegeneration, Alzheimer's Disease, Biomarkers, Progression
Alyssa DeVito	Louisiana State University	Multi-state modeling, APOE, cognitive decline
Denise Dewald	University Hospitals Cleveland Medical Center	sleep apnea, soft palate, tongue position
Blake Dewey	Johns Hopkins University	mri, ct, synthesis
Debojyoti Dey	Personal	ML based explorations
Saumil Dhankar	Independent voluntary research for IEEE BDBC 2020 challenge	Diagnosis, Symptoms, Assessment, Cognitive, Demographics, Imaging, MR
Shravan Dhar	UVCE	Alzheimer
Moyez Dharsee	Ontario Cancer Biomarker Network	integration, analysis
Sriram Dharwada	Indian Institute of Information Technology, Nagpur	Deep Learning model using CNN and LSTM
Andrew Dhawan	Cleveland Clinic	SNP, CSF biomarker, Imaging correlate
eric dhillon	univ of toronto	MRI volumetric analysis regional cortical white matter
Hao Di	XJTU	Result repeat
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
Alisha Dias	St. Francis Institute of Technology	Detection, Stage, Alzhiemers
Maria de Fátima Dias	University of Coimbra	Ageing, Deep Learning, Regression
Mauricio Diaz	Inria	AD, Deep Learning
Mehdi Diba	Shahrood University of Technology	ADNI data analysis,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
Philip Dickinson	McGill University	resting state, connectome wide association
Kersten Diers	German Center for Neurodegenerative Diseases	quality control; statistical modeling
Louis Dieumegarde	IUSMQ	Database
Ibai Diez	Massachusetts General Hospital	AD, fmri, DTI, PET
Andrew DiLernia	University of Minnesota	clustering, functional connectivity
Konstantina Dimaki	Wentworth Institute of Technology	Alzheimer's disease, prediction
Georgios Marios Dimakidis	Ionian University	Bioinformatics, Data Analytics, AD
yuhang Ding	baidu	download and study
Changchang Ding	Shanghai University	PET;FMRI
Yuan Ding	New York University	For Course Project
Ke Ding	东华大学	Biospecimens、MRI、PET、Genetic
Xuemei Ding	Ulster University	Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Chen Ding	Shenzhen Institutes of Advanced Technology Chinese Academy of Science	brain image
Chen Ding	Shenzhen Institutes of Advanced Technology Chinese Academy of Science	brain image
jie Ding	Nanjing Tech University	ADNI data
Eduardo Diniz	University of Pittsburgh	image-to-image translation; deep learning; mr image synthesis
Ivo Dinov	UCLA	Alzheimer's disease, statistics, shape
Nicola Dinsdale	University of Oxford	hippocampus machine learning
ALIOU DIOP	Gaston Berger University	censored data; survival analysis, functional data analysis
Tyler Diorio	Purdue University	white matter hyperintensity, periventricular, stress
Ibrahima Diouf	University of Melbourne	Alzheimer's, amyloid pathology, Tau, cell adhesion molecules
sai smruthi diwakar	SASTRA UNIVERSITY	Final year project on prediction of alzheimer's
Sudhanshu Dixit	Jaypee Institute Of Information And Technology	Use ADNI dataset for College Project
anoop dixit	Collective Cure	Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec
Khethiwe Dlamini	University of the Free State	R, Python, unsupervised learning, MRI, PET, big data
Iwona Dobler	Takeda Pharmaceuticals International Co.	biomarker
Vitaly Dobromyslin	University of Massachussetts, Lowell	gene expression, neuroimaging
Shruti Dodani	Dwarkadas J Sanghvi College of Engineering	Deep learning; Convolutional Neural Network; Alzheimer's disease.
Chris Dodds	University of Exeter	Education
Alessandra Dodich	University of Geneva	18F-flortaucipir, positivity, tau deposition
James Doecke	CSIRO	CSF, Amyloid, PET
Elena Doering	University Hospital Cologne	education, metabolic activity, aging
Merve Yusra Dogan	Istanbul Medipol University	functional connectivity, neuropsychological test, fMRI, big data
Prashant Dogra	Houston Methodist Research Institute	Alzheimer, biomarker, modeling
Oriol Dols-Icardo	Sant Pau biomedical research institute	Genomics, MRI
Sudipto Dolui	University of Pennsylvania	Arterial Spin Labeling, Cerebral Blood Flow
Elena Dominguez	University of California, Irvine	Cingulate Cortex, Cortical Thickness, Cognition
Frank Dondelinger	Lancaster University	lasso, prediction
shuai dong	Northeastern University	MRI depression
Qunxi Dong	Arizona State University	Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry
Fan Dong	Indoc Research	data platform, imaging processing, neuroinformatics
qian dong	chongqing university of posts and telecomunications	ADNI
Jian Dong	Harvard Medical School	PET, molecular imaging, amyloid, tau, machine learning, neural network.
YIWEN DONG	UCSF	building database
JANG DONGGON	KAIST	Deeplearning
zhu dongming	云南大学	machine learning, prediction of AD
Luo Dongxia	Sichuan University	19950913
Anita Donnelly	Ulster university	Machine Learning, Data Modelling
Michael Donohue	Keck School of Medicine of USC	ADCS
elahe dorani	Institute for Advanced Studies in Basic Sciences (IASBS)	Probabilistic models, Bayesian inference, Alzheimer's disease, ADNI dataset
Fernanda Caroline Dos Santos	Centre for Addiction and Mental Health	Alzheimer's disease; Depression; Mild cognitive impairment; neuroimaging; PRS
Ayush Doshi	University of Virginia	Spherical deconvolution, 3-tissue extraction, Deep learning
Gaelle Doucet	Icahn School of Medicine At Mount Sinai	resting-state networks, brain atlas, aging
N. Maritza Dowling	University of Wisconsin-Madison	Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Senan Doyle	Pixyl	PET, MRI, AI, Deep Learning
Sorin Draghici	Advaita	meta-analysis, data integration, subtype discovery
Andrei Dragomir	Politehnica Bucharest University	Ask and I can provide further details
Jonathan Drake	Alpert Medicial School of Brown University	VCAM-1, vascular risk factors
Derek Drake	Harvard University	AD
Amil Dravid	Northwestern University	Machine Learning, Computer Vision
Erin Drazich	University of Sussex	DTI, MCI, AD
Andrew Drozdov	University of Massachusetts Amherst	alzheimer's
Jason Druzgal	University of Virginia	Basal forebrain; cognitive impairment; VBM
Polina Druzhinina	Skoltech	3D CNN, classification
Averil DU	ShanXi Medical University	Aa123456
Qianqian Du	Taiyuan University of Technology	pet image reconstruction
Lei Du	Northwestern Polytechnical University	Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Jiao Du	Guangzhou univerisity	fusion
mingyu du	Beihang University	912811450
Yuhang DU	He Bei University	fmri
Yuhui Du	The Mind Research Network; Shanxi University	Biomarkers, Classification, Clustering
Guangwei Du	Penn State Hershey Medical Center	TBM, neurodegenerative disease pattern
Zhichao Duan	Tsinghua University	Machine learning
Kaue Duarte	University of Campinas	alzheimers, artificial intelligence, image retrieval
Paromita Dubey	UC Davis	networks
florian dubost	Erasmus MC	enlarged perivascular spaces, deep learning, neural networks
Simon Duchesne	Université Laval	Morphometry, MRI, multidimensional analysis
Simon Duchesne	True Positive Medical Devices Inc.	Biomarkers; Volumetry; Normative data
Kevin Duff	University of Utah	biological samples
Ben Duffy	USC	QC
Maya Duffy	University of South Carolina	Project, Statistics
Brittany Dugger	UC-Davis	Neuropathology, Heterogeneity, concomitant pathology
Juergen Dukart	Hoffmann-La Roche	PET MRI biomarkers diagnostic models
Adrienne Dula	Dell Medical School at the University of Texas Austin	Alzheimer’s disease, cerebrovascular flow, sex
carlos Dulanto	universidad cesar vallejo	neural nerwork
Maciej Dulewicz	Medical University of Białystok, Poland	AD
Felix Dumais	Université de Sherbrooke	AI, arteries, vascular
Julie Dumas	University of Vermont	tau, csf, hippocampus, biomarkers, MCI
Mihai Dumitrescu	University Politehnica of Bucharest	Homework
Matthieu Dumont	Imeka	DWI DTI HARDI Tracking
Julien Dumurgier	Université de Paris	CSF biomarkers ; cut-offs
Julien Dumurgier	Lariboisiere Fernand Widal Hospital	APOE, AD, CSF biomarkers
Mehmet Sait Dündar	Abdullah Gul University	deep learning, MRI, PET, dementia, alzheimer disease
Michelle Dunk	University of Wisconsin - Milwaukee	Cholesterol, APOE, amyloid-beta, tau, oxysterols, Alzheimer's disease
Michael Duong	University of Pennsylvania	Alzheimer disease, AT(N), PET, neuroimaging
Patrick Dupont	KU Leuven	graph; rs-fMRI; cognition
Tom Dupree	Springboard	Machine learning, data analysis, predictive classification model
Goktekin Durusoy	Bogazici University	Graph analysis, tensor decompositions,Connectome
Anirban Dutta	University at Buffalo SUNY	Non-invasive brain stimulation
Chiranjit Dutta	University of Connecticut	Longitudinal data analysis
ARIDEEP DUTTA	Jabalpur Engineering College	AD-alzheimer's diseases
Joyita Dutta	UMass Lowell / MGH	Data science, machine learning
Shamita Dutta gupta	Pace U	Ordinal logit model, general linear model
Shubham Dwivedi	National Institute of Technology Silchar	Alzheimer, Brain, Daignosis
Alok Dwivedi	Texas Tech University Health Sciences Center El Paso	Amyloid positive, MRI, CSF biomarkers, ABETA42
Jonathan Dyke	Weill Cornell Medicine	cortical thickness
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
Georgina Earle	University of Birmingham	Alzheimer's Disease, deep learning, imaging
Mark Ebbert	Mayo Clinic	Challenging regions
Amir Ebrahimighahnavieh	University of Newcastle	Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Holly Echlin	York University	sub-concussive, mild traumatic brain injury, aging, neuroimaging
Christopher Edgar	Cogstate	cognition, at-home, feasibility, validity, reliability
Paul Edison	Imperial College London	tau amyloid cardiovascular risk
Emily Edmonds	University of California, San Diego	Mild cognitive impairment; Neuropsychology
Mackenzie Edmondson	University of Pennsylvania	neuroimaging, biostatistics
ANTOINE D EDOUARD	Harvard University	MCY&ALzheimer
Amr Eed	Instituto de neurociencias de alicante	Machine Learning, multi-shell models
Efe Dogukan Efeoglu	Middle East Technical University	mathematical statistics, image processing, neuroscience
Marco Egle	University of Cambridge	Small vessel disease Diffusion tensor imaging clinical trials
Graham Eglit	San Diego VA	Biomarkers, Tau, CSF, PET
sina ehsani	mashhad university of medical science	dti
Willem Eikelboom	Erasmus MC Rotterdam	Neuropsychiatric symptoms, Alzheime's disease
Eyþór Einarsson	Haskoli Islands	Deep Learning, Brain Age, Machine Learning, MRI
Noushin Ejtehadi	Iran University of Science and Technology	DTI
Laura Ekblad	Amsterdam UMC	CSF, proteomics, atrophy, cortical thickness, MCI, Alzheimer
Chima Eke	University of Plymouth	Biomarkers, data analysis, machine learning, deep learning
ferhat ekin	ankara yıldırım beyazıt university	stalker
Tawatchai Ekjeen	Faculty of Medical Technology	Maching Learning, PET, Alzheimer's Disease
Anders Eklund	Linköping university	Deep learning, multi modality, fMRI, dMRI, convolutional neural network
Nsisong Ekong	RITMAN UNIVERSITY, IKOT EKPENE, AKWA IBOM STATE	ALZHEIMER'S DISEASE, CLINICAL TRIALS, STOCHASTIC ANALYSIS
Ender Eksioglu	Istanbul Technical University	MR reconstruction, undersampled k-space data, sparsity based MR reconstruction
Karen El Akoury	Holy spirit university of kaslik	Alzheimer,EEG,Music Treatment
Shaker El-Sappagh	Inha University	Deep learning, machine learning, progression detection
fanny elahi	UCSF	Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
vidhya elango	periyar university	cryptography
Ghaidaa Eldeeb	faculty of engineering cairo univeristy	DTI
elfazziki elfazziki	Marrakech university, computer science department	alzheimer, diagnosis, machine learning
m elgeneedy	mansoura university	كل اسبوع يوم جمعه
Tusneem elhassan	University of technology Malaysia (UTM)	Alzaheimer
Martin Elias Costa	Entelai	Brain atrophy, aging, MRI,
Ahmed Elkorany	faculty of electronic engineering, menoufia university	deeplinearning; classification, MRI
Nandhini Ellappan	MGR University	Dashboard
Lotta Ellingsen	University of Iceland	segmentation, deep learning, brainstem, white matter hyperintensities, dementia
Maxwell Elliott	Duke University	Aging, methylation, ADRD, neurodegeneration
Natalie Ellison	Pentara Corporation	Composites Genetics
Jeremy Elman	UCSD	Pupillometry, aging, dementia
Ani Eloyan	Brown University	clinical domain, machine learning, deep learning
ahmed elsayad	Mansoura University	big data, big data analysis , big data processing
Zeinab Elsharkawy	Atomic Energy Authority	Deep learning; image analysis; classification
alaa elshazli	Staffordshire university	brain images, image processing
Nada Elsokkary	Khalifa University of Science and Technology	AD diagnosis, deep learning, textural analysis
Maryam Emamidoost	Ryerson University	Alzheimer's Disease, segmentations, MRI
Patrick Emedom-Nnamdi	Harvard University	Alzheimer, machine learning
Polina Emeliyanova	The University of Manchester	White matter, grey matter
Okyaz Eminaga	Stanford University	DL, Classifcaiton
Mohammad A E K Emon	Janssen Pharmaceutica	GWAS, MR
HIRONOBU ENDO	Johns Hopkins University	MRI cloud
Daiki Endo	Tohoku University	Convolutional Neural Network, Computer aided diagnosis
Jakelini Engel	UNOESC	Alzheimer diagnosis
Bradley English	Fraunhofer Institute	Early-warning
Gina Eom	Centre for Addiction and Mental Health	cognition, function, clinical scores
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
Basri erdogan	Bogazici University	Alzheimer's disease, deep learning, cnn
Mahdiyeh Erfanian	Ferdowsi University of Mashhad	statistics. SPC, profile monitoring
Bradley Erickson	Mayo Clinic	imaging biomarkers
Elena Erosheva	University of Washington	Longitudinal, hierarchical, mixed effects
Naga Akhil ES	PES University	Alzheimer's Disease
Sara Esam	Institute of Statistical Studies and research	Alzheimer’s Disease
Sara Esam	Institute of Statistical Studies and research	Alzheimer’s Disease
Claus Escher	University Hospital Cologne	Semantic Networks, Category Fluency Test
Lorena Escudero	University of Cambridge	TADPOLE
Javier Escudero	University of Edinburgh	Machine learning, Decision support, biomarkers
Marziye Eshghi	MGHIHP	structural imaging, cortical thickness, speech motor regions
Mary Eskander	Banha	Machine learning
Simon Eskildsen	Aalborg University	cortical thickness, brain mapping, segmentation
Taban Eslami	Western Michigan University	Alzheimer's, classification, Machine Learning
Marzieh Esmaeili	TUMS	deep learning, GAN
Soheil Esmaeilzadeh	Stanford University	deep learning course, Stanford university, class project
Alberto Espay	University of Cincinnati	Amyloid, soluble Abeta42
Erika Espindola	Centro Universitário IESB	Data Analysis; Alzheimer; Prediction; Artificial Intelligence
Ana Espinosa	Fundació ACE	Cognition,
Mar Estarellas Garcia	University College London	Alzheimer, data-driven model, lifestyle
Pierre Etienne	ActuReal Services and Consulting Pvt.Ltd.	Converson to MCI
Kobra Etminani	halmstad university	Skull stripping ,prognosis of AD and Dementia
Diana Evangelista	Ardsley High School	deep learning; neural networks; Alzheimer's; ROC; Python
Nicole Evangelista	University of Florida	working memory, magnetic resonance imaging
Guilherme Evangelista	Centro Universitario Uni BH	Utilização do aprendizado de maquina para diagnosticar, tratar e previnir o alzh
Diana Evangelista	Ardsley High School	deep learning; neural network; ROC; AUC; Adam; t-SNE; Alzheimers;
Dave Evenden	Southampton Universiry	Dementia, Disease Modelling, Healthcare Planning
Katrina Evtimova	NYU	neuroimaging analysis
Michael Ewers	LMU	amyloid, genetics
Georgios Exarchakis	Institut de la Vision, CNRS, Sorbonne University	Scattering Transforms, Machine Learning
Ali Ezzati	Albert Einstein College of Medicine	Volumetric, MRI, Amyloid, cognitive decline
JISNA F	UNIVERSITY OF KERALA	Convolutional Neural Network
NICY F	THANGAL KUNJU COLLEGE OF ENGINEERING	Alzheimer’s disease (AD) · Mild cognitive impairment (MCI) · Feature selection ·
Sa Faber	Rotman Research Institute	MCA
Nathalie Fadel	Columbia University Mailman School of Public Health	fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac
Ghadah Fadhl	Sana'a university	Alzhiemer’s disease (AD), Convolutional neural network (CNN) , Deep neural netwo
Shreyas Fadnavis	Indiana University Bloomington	DWI, Machine Learning
Shahriar Faghani	Tehran university of Medical science	MCI-CN-fMRI-Machine learning-Deep learning
Ali Fahim	UT	data mining
Rachid Fahmi	Siemens Healthcare	AD, PET, FDG, MRI, Amyloid
Ryan Fairchild	University of Maine	Tracking, atrophy
Muhammad Faisal	King Fahd University	Tadpole Challenge Data
sherin faizal	Barathiar University	Alzheimer’s disease, Artificial Neural Network, Computer aided diagnosis, Discr
Faruk Fakih Safadi	The University of Manchester	Machine learning, deep learning, AD, university, research, computer vision
Tiago Falk	INRS	AI, multimodal, signal processing
ZHEN FAN	Imperial College London	Longitudinal amyloid tau
Yonghui Fan	Arizona State University	ADNI2-GO MRI data
Peihao Fan	University of Pittsburgh	Alzheimer's Disease; Machine learning; Biomarker;
Yong Fan	University of Pennsylvania	Pattern recognition; Machine Learning, Multi-site data
Xiang Fan	The Chinese University of Hong Kong	biomarker
Di Fan	USC	DTI
weina fan	Qufu Normal University	research
Corry Fan	chongqing University of Posts and Telecommunications	AUGgac394
Wenliang Fan	Union Hospital, Huazhong University of Science and Technology	Alzheimer’s disease; Longitudinal change; Evolving pattern; FC
Shawn Fan	Rice University	TADPOLE
Chong Yuan Fan	National Chiao Tung University	MRI
Geng Fan	University of Electronic science of technology of China	HDAC2
Kathy Fan	Stanford	visualization, CNN, interpretability
Yang Fan	Peking University	AD, ASL, CBF
Ziqi Fan	China	neuroinflammation AD beta amyloid
zhihao fan	华南理工大学	Thanks
CHENCHEN FAN	Institute of Automation，Chinese Academy of Sciences	machine learning
Yan Fang	Shanghai University of International Business and Economics	7Yiffany
Feng Fang	University of Houston	Connectivity, fMRI, dTI, AD
SHENGLEI FANG	Cardiff University	Alzheimer, PET
Ruogu Fang	University of Florida	Alzheimer's Disease, cerebral perfusion, machine learning
Chen Fang	Florida International University	Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
Yi Fang	Zhejiang University	Perivascular space
Frank Fang	Eisai	Machine Learning
zhang fangyuan	school	deep lerning CNN
Félix Fanjul-Vélez	University of Cantabria	Alzheimer, dementia, image analysis
David Fardo	University of Kentucky	Pathway-wide association, AD
Gonzalo Farías	Universidad de Chile	synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Mohammadjavad Faridafshin	Shiraz University	image processing, AD, Classification, Machine Learning,
Aamir Farooq	techtip	covid in adni
fayroz farouk	electronics research inistitute	APOE, multistate markov model
Danielle Farrar	University of New Mexico	MCI, fMRI, MRI, network analysis
John Farrell	Boston University Medical School	whole_genome_sequencing genetics imputation structural_variants
Kurt Farrell	Icahn School of Medicine at Mount Sinai	Primary age-related tauopathy
Madeline Farron	University of Michigan Medicine	Neuroimaging, Alzheimer's Disease
maedeh fasihi	ucf	machine learning, classification, pattern recognition
Karma Fathalla	Arab Academy for Science and Technology	Dementia, Alzheimer, Machine learning, deep learning
Sina Fathi	Iran university of medical sciences	CDSS, Alzheimer's disease, deep learning
Alireza Fathian	Tarbiat Modares University	Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network,
Noel Faux	IBM Research - Australia	Biomarkers, prognosis, genomics, cognitive decline
Marcelo Febo	University of Florida	diffusion MRI, Alzheimers, amyloid
Alex Fedorov	Georgia Institute of Technology	self-supervised learning, multi-modal, deep learning
Jana Fehr	Hasso-Plattner-Institute	Causal Inference, Transportability
liu fei	Tianjin University	r-fmri functional connectivity network machine learning
Franklin Feingold	Stanford University	BIDS
Amirhossein Feizi	Semnan University	learning, research design, studying
Daniel Felsky	Centre for Addiction and Mental Health	microglia, polygenic risk, imaging, environmental modifiers
Grazia Daniela Femminella	University of Naples Federico II	Alzheimer's disease; atrial fibrillation
Grazia Daniela Femminella	Imperial College London	inflammation; atrophy; AD; MCI
Luo Fen	South Central University For Nationalities	GAN; MRI
Alan Fendrich	Penn State College of Medicine	learning to preprocess PET data
Junbang Feng	CQMU	821727fjb
Jinwang Feng	Northwestern Polytechnical University	Alzheimer's disease, Feature extraction, Classification
Qingxiang Feng	Tulane University	deep learning, sparse
gu feng	Chinese Academy of Sciences	gufeng11
Lin Feng	Shaoyang University	Alzheimer’s Disease,Anatomical MRI,Classification,ROI
Xue Feng	University of Virginia	Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers
Zhichao Feng	The Third Xiangya Hospital of Central South University	fzc2018xyyx
Yang Feng	New York University	Alzheimer’s disease, multiclass classification, prioritized error controls
HONGBO FENG	First Affiliated Hospital of Dalian Medical university	aging
Xinyang Feng	Columbia University	AD imaging biomarker
Christine Fennema-Notestine	UCSD	MRI, thickness, morphometry, shape analysis, PET
Lavinia Ferariu	Gheorghe Asachi technizal University of Iasi, Romania	Classification
Cameron Ferguson	Cardiff University	Network Psychometrics; Complex Systems; Modelling; Neuropsychology; Neurocogniti
Marco Fernandes	University of Oxford	metabolomics, machine learning, network analysis, psychiatric disorders
Isabel Fernandez	Universitat Oberta Catalunya	Early diagnosis
Alberto Fernández	Universidad Complutense de Madrid, Spain	APOE4, Amyloidosis, cognitive performace
MIGUEL ANGEL Fernandez	University of Cadiz	PET, image, machine learning
Álvaro Fernández Calleja	Universidad Politecnica de Madrid	Alzheimer, longitudinal analysis, MRI
Sara Fernandez Rodriguez-Cabello	University of Salzburg	aging, longitudinal, WMH, AD
Ricardo Ferrari	Federal University of São Carlos	3D salient point, Deep Learning, Atlas of salient points
Antonio Ferraro	Università Luigi Bocconi	Neuro-Image, disease's progression prediction
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
Bianca Ferreira	ISEP	Alzheimer's Disease, FDG-PET, Neural Networks
Camille FERRERO	CSIRO	MRI images
Jennifer Fey (Erway)	Wake Forest University	machine learning, optimization, quasi-Newton methods
achraf feydi	National institute of applied science and technology	Machine learning , diagnose
Lobna FEZAI	Univeristé de Poitiers	Deep learning, medical imaging, classification
Milan Fiala	UCLA	FDG scan, MRI, MMSE
Mark Fiecas	University of Minnesota	fMRI, connectivity, longitudinal
Matteo Figini	University College London	resolution, machine learning, image quality transfer
Michal Figurski	University of Pennsylvannia	UPenn, Leslie Shaw
Laura Filippi	IRCSS San Martino Hospital	Amyloid uptake in AD
muco findik	Malmö	Artificial Intelligence, Machine Learning, EEG data
Elizabeth Finger	University of Western Ontario	NPI, MRI, PET
Michael Firbank	Newcastle University	Dementia
aku fire	FuZhou University	machine learning
Florian Fischer	Universtiy Medical Center Mainz	Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Clara Fischer	Neurospin, CEA	brain atrophy
Madalina Fiterau	University of Massachusetts Amherst	Alzheimer’s disease; trajectory modeling; medical imaging; multimodal fusion; de
Lúcio Flávio de Jesus Silva	State University of Maranhão	Alzheimer, ANN, fMRI, Deep Learing
Christopher Fleetwood	University Of East Anglia	Alzheimers, Deep Learning, CNN, GCNN
Evan Fletcher	UC Davis	Cognitive Reserve, Psychometrics Workshop
Alexandru Floares	Solutions of Artificial Intelligence Applications	Artificial Intelligence, Alzheimer's disease, clinical, genomic, imaging, data
Carlos Flores	UNAM	brain, unam, inb
Shaney Flores	Washington University in St. Louis	DIAN, harmonization, WUSTL
Guadalupe Flores Islas	Instituto Politécnico Nacional	Alzheimer classification
Niels Focke	University of Göttingen	FDG-PET, Epilepsy
Nancy Foldi	Queens College - City University of New York	MTL, HIppocampus, serial position effect
Guilherme Fôlego	Universidade Estadual de Campinas	AD, ML
Bernard Fongang	UT Health San Antonio	Dementia, Vascular dementia, Gene expression, MRI markers
Vladimir Fonov	McGill University	de-identification
Joana Fonseca	FEUP	ML
Fabian Humberto Fonseca Aponte	Sapienza Università di Roma	Adversarial learning, auto-context model, MRI, image synthesis
Alfred Fonteh	Huntington Medical Research Institute	Amyloid, tau, PET, metabolites, glutamate, lipids, omega-fatty acids
WEI JIAN FOONG	UNIVERSITY MALAYSIA PERLIS	ALZHEIMER'S DISEASE, PREDICTION, BIOMARKERS, GENOMIC, NEUROIMAGING
Jamie Ford	Imperial College London	Functional connectivity, resting-state fMRI, structural MRI, amyloid
Cynthia Forgeron	St. Francis Xavier University	Dementia, Alzheimers, machine, learning
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
Alex Förster	Universitätsmedizin Mannheim	AD, crossed cerebellar diaschisis
Adam Forys	Roche	ADNI, Roche, dashboards
Chris Foster	UT Dallas \| Center for Vital Longevity	Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Panagiotis Fotiadis	Massachusetts General Hospital	atrophy; cerebral amyloid angiopathy; alzheimer's disease
saman fouladi	tmu	y
Gregory Founshtein	The hebrew University and the Hadassah Ein Kerem medical center	Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Michael Fox	Harvard	atrophy
Lydia Fozo	APL	Connectome, Biomarkers
Ernest Fraenkel	MIT	machine learning, AI
Ambily Francis	Karunya	AD,CN,MCIc,MCInc
Fabio Frangiamore	university of Milan Bicocca	Alzheimer, CNN, deep learning
Eric Frankel	Stanford University	neuroimaging, gene expression, autism spectrum disorder, protein interaction
Mark Fraser	Australian National University	harmonized Hippocampal protocol, manual segmentation
Mark Frasier	Michael J Fox Foundation	CSF, biomarkers, neurodegeneration
Simona Fratus	University of Brescia	deep learning, neural network
Blaise Frederick	McLean Hospital/Harvard Medical School	resting state, perfusion,
Amy Fredrickson	Cogstate	Data Deliverable
André Freitas	Universidade do Minho	Neuroimaging, MRI, Brain
Jennifer French	University of Maryland	GWAS
Leon French	Centre for Addiction and Mental Health	gene expression
Joshua French	University of Colorado Denver	principal components, isotropy
Simon Frerich	Karolinska Institute	Subtyping
Brad Friedman	Genentech, Inc.	bioinformatics genetics
nadav friedmann	cassavasciences	decline over time
Christoph M. Friedrich	University of Applied Science and Arts Dortmund	SNP subset selection
Lars Frings	University of Freiburg	PET; Amyloid; FDG; Medial Temporal Lobe
Hans-Christian Fritz	German Center for Neurodegenerative Disease	basal forebrain, functional connectivity
Bernard Fromson	Birkbeck, University of London	Machine learning, Computer Vision, Medical Diagnostics
yanv fu	The Affiliated Second Hospital of Zhejiang University of Medicine	Alzheimer's disease
Zening Fu	Georgia State University	Multi-diseases biomarkers, data-fusion, dynamic brain connectivity
Ray Fu	BIT	data analysis
yu fu	lanzhou university	longitudinal brain changes; MCI;AD
Pan Fu	Taizhou First People’s Hospital	Alzheimer's disease, synaptic degeneration, clusterin
jeffson fu	Chongqing University of Posts and Telecommunications	image
Motonobu Fujishima	National Center of Neurology and Psychiatry	differential diagnosis; Alzheimer's disease; FDG-PET; MRI
Fabian Fullone	Universidad Argentina de la Empresa	data
Lawrence Fulton	Texas State University	machine learning
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
Ernest Fung	Cogstate	Alzheimer's disease, clinical trials, CNS drugs
Cory Funk	Institute for Systems Biology	Alzheimer RNA-seq WGS
Quentin Funk	Houston Methodist Research Institute	Tau, fMRI, graph theory, DTI
Ansgar Furst	Stanford University	Alzheimers, TBI, Veterans
Pedro Furtado	Universidade de Coimbra	medical imaging
jayavel G	anna university	alzheimer desease
NAGARJUNA REDDY G	NBKR INSTITUTE OF SCIENCE & TECHNOLOGY, VIDYANAGAR	Alzheimers
Janakasudha G	Sri Venkateswara College of Engineering	Alzheimer's Disease, Brain image analysis, machine learning and deep learning
MALAVIKA G	kumaraguru college of technology	disease, machine learning, data science
Man Ga	IMM	4327050Ho
Musa Gabere	Mayo	Magnetic Resonance Imaging, Positron emission tomography
Geoffroy Gagliardi	Brigham and Women's Hospital	Awareness, Biomarkers
Yu Gai	UESTC	Alzheimer;Classification;DeepLearning
Niharika Gajawelli	USC	fMRI, MRI, AD, MCI,
Douglas Galasko	UC San Diego	CSF biomarkers cognition
Paola Galdi	University of Salerno	networks, multi-modal data, classification
Charles Galea	Monash Institute of Pharmaceutical Sciences	machine learning, disease progression
Elena Galea	Institute of Neuroscience, University Autonoma of Barcelona	proteomic data, CSF/plasma, astrocytic signature(s)
Liisa Galea	University of British Columbia	APOE, Pregnancy, motherhood, hormone therapy, inflammation
Brahyan Galindo Mendez	University of California, Berkeley	Alzheimer's disease,
Kevin Galinsky	Takeda	NFL; cognition; TREM2; CD33
Charles Gallay	EPFL	Master These
Daniel Gallichan	Cardiff University	multi-contrast image visualisation
Carlos Galmarini	TOPAZIUM	Artificial intelligence, deep neuronal networks
Dragan Gamberger	Rudjer Boskovic Institute	data clustering, subgroup discovery, intelligent data analysis
Deepak Gambhir	Galgotia College of Engineering and Technology	Alzheimer disease AD; Machine Learning Models
Hong Seng Gan	Universiti Kuala Lumpur	hippocampus Segmentation, Alzheimer's Disease, Random Walks
Christina Gancayco	University of Virginia	neural network, machine learning, deep learning
Amisha Gandhi	Boston University	final project, machine learning
Michal Gandor	Politechnika Krakowska	machine learning research
Arya Ganesan	Academies of Loudoun	Tau, Alzheimer's Disease, Segmentation
Ajith Kumar Ganesan Govindasamy	VasoGnosis	Deep learning, wGANs, Gan Data Augmentation
Rithvik Ganesh	Jasper High School	AD, machine learning, diagnosis
li gang	Northeasten university	AD
AYUSHE GANGAL	G.B. Pant Govt. Engineering College	neural networks, deep learning
Arkaprabha Ganguli	Michigan State University	Alzheimer’s disease, High dimension valariable selection, nonrandom nonresponse
Mohit Gangwar	Bhabha Engineering Research Institute, Bhopal, India	Machine Learning
Sandeep Ganji	Philips	ASL
Reema Ganotra	YMCA University of Science and Technology	Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Yurui Gao	Vanderbilt University	functional connectivity
Yunhe Gao	Rutgers University	Segmentation CNN
Yali Gao	new york university	risk factor
Kun Gao	UNC-chapel hill	medical image classification, deep neural network
Xue Gao	Shaanxi Normal University	fMRI data
Kejiao Gao	Northeastern university of china	Transfer learning
Yang Gao	Central South University	AD/GNN/Disease Analysis
zhengzhou gao	beihang university	gzzhv587
Xingyu Gao	Shanghai Jiaotong University	Alzheimer`s disease, Muti-modality, Deep learning
Jian Gao	Guizhou University	Request
ang gao	CAS,china	Machine learning
Xiaohong Gao	Middlesex University	multi-modal classifier, fuzzy logic
yan gao	Xi’an Jiaotong University	multi-view classification
Fuxun Gao	University of Shanghai for Science and Technology	Alzheimer’s disease; Computer-aided diagnosis
Kai Gao	SEfe	AD, MCI
Xiao Gao	University of California, San Francisco	atrophy, cognition
Yuan Gao	University of Oxford	Yeye8330209
Lijuan Gao	Affiliated ZhongDa Hospital, Southeast University	APOE, DMN, MCI, conversion, AD
Linlin Gao	Ningbo University	longitudinal MRI, convolutional neural network, recurrent neural network
Gao Zhiyang Gao Zhiyang	Shanghai Univesity	Alzheimer's disease, MRI ,PET
Manisha Garasiya	GTU	Classification, detection
Sara Garbarino	Universite Cote d'Azure, Inria	misfolded proteins, dynamical system models, disease progression models
Tanya Garcia	Texas A&M University	T1-weighted MRI images; Cox regression; tensor covariates
Kara Garcia	Indiana University School of Medicine	surface registration, longitudinal, cortex, shrinkage, biomechanics
Melanie Garcia	Hypercube Institute	Neuroimaging, Data analysis, multi-site effect
HAYDEE GARCIA	LIN	DATANMA
Miguel Garcia	Boehringer-Ingelheim	historical controls, placebo, disease modelling
Gracian Garcia	Quiron	PET; SPM; templates
José Carlos García	Universtitat Oberta de Catalunya	brain anomalies, automatic segmentaion, automatic lesion detection
Juan Manuel García Varilla	MicroWebServices, SL	alzheimer, early diagnose, machine learning, pattern detection, PET, imaging
Rafael Garcia-Dias	KCL	sMRI, Machine Learning
Jord Garcia-Ojalvo	Universitat Pompeu Fabra	Brain dynamics, relaxation dynamics, potential landscapes.
NEHA GARG	akgec	ALZHEIMER
Ambika Garg	Thapar Institute of Engineering and Technology	Feature Extraction,PCA
Gaurav Garg	University of Ulster	Modeling, EEG, fMRI, Alzheimer's, AD
sampurna garg	thapar university	123456
Monica Garibay	OHSU	connectivity, biomarkers,
Valentina Garibotto	Geneva University Hospitals	FDG PET, tau, Ab42, CSF
Anurag Garikipati	Dascena, Inc	Machine learning, deep learning, MRI analysis, drug efficacy
Lana Garmire	University of Michigan	metabolomics, genomics, genetics, clinical data
José Alejandro Garnica López	Universidad de Monterrey	Alzheimer, MCI, Machine Learning, T2 weighted images
Diego Garrido	Centre for Genomic Regulation	multivariate regression, GWAS, QTL mapping, Alzheimer's disease
Dimple Amitha Garuadapuri	Eleanor Roosevelt High School	Diagnosis, Alzheimer's disease, MRI, machine learning
Isabel Garza	Lufkin High School	Science Fair
Eduardo Garza-Villarreal	Instituto Nacional de Psiquiatria	diabetes, imaging genetics, neuroimaging
Christian Gaser	Jena University Hospital	brainage, vbm
gagasgsag gasgasgags	NIS	ML
Gabriele Gaßner	University of Kiel	Hippocampal Volume, Hippocampal Atrophy
Vincent Gaudet	University of Waterloo	iterative algorithms, belief propagation, stochastic computing
Iris Ivy Gauran	University of the Philippines	Meta analysis, ordinal data, homogeneity
Deepam Gautam	philips	Brain MRI AI
Deepam Gautam	philips	research and investigation
Nishant Gautam	JIIT	CN LMCI AD
Serge Gauthier	McGill University	Imaging, Alzheimer's Disease, Brain Connectivity
Nathan Gaw	Arizona State University	multivariate analysis, hierarchical model, disease progression
Jodie Gawryluk	University of Victoria	white matter, MRI, DTI, cognition
Shufei Ge	Simon Fraser University	Associations study, Group Lasso ,spatial correlation structures
Black Ge	Beijing University of Science and Technology	fMRI ,classify
XINTING GE	University of Southern California	AD, Image process
Tian Ge	Athinoula A. Martinos Center for Biomedical Imaging	neuroimaging genetics
chuanhua ge	chongqing medical university	AD
changrong ge	Karolinska Institutet	biomarker
stephan gebel	Fraunhofer Institute for Algorithms and Scientific Computing SCAI	Ontologies, Terminologies
Haymanot Gebre-Amlak	University of Missouri - Kansas City	Signal Processing, AI and Big Learing
feifei geng	Emory University	Perivascular Spaces Segmentation
lijun geng	Northwestern Polytechnical University	Longitudinal Prediction Deep Learning
Claudene George, MD, RPh	Albert Einstein College of Medicine	ACE Inhibitors, Dementia
Richard Gerkin	Arizona State University	teaching
Dwight German	University of Texas Southwestern Medical Center	klotho, clusterin, ApoE, FGF23
Liliana German-Castelan	University of Western Ontario	Cholinergic system, amyloid beta, basal forebrain
Eske Gertje	Skane University Hospital/ Lund University	publishing rights
Corey Geurink	1973	exome, Alzheimer's, risk, allele
Olivier Gevaert	Stanford University	deep learning multi-scale modeling
gül gezer	eskişehir osmangazi university	CNN
Ali Ghafouri	The University of Texas at Austin	Alzheimer
Mohamed Ghalwash	IBM Research	progression; personalized
Behrooz Ghane	University of Isfahan	Deep Learning
Farnaz Gharedaghi	Tabriz university	PET/ MRI super resolution
Saoussen gharsallah	ISIM Gabes	WMH, Segmentation
MEHDI GHASEMI	IUST	graph theory
Saida Ghazela	Faculté des Sciences de Gafsa	Alzheimer Database Brain
Mahsa Ghorbani	Technical University of Munich	graph convolutional networks, node classification, prediction
Palash Ghosal	NIT DURGAPUR ,INDIA	Deep Learning,Machine Learning,Neurodegenerative disease
Soumya Ghose	GE Global Research	Deep learning
Sukanta Ghosh	Jadavpur University	Alzheimer's disease Soft Computing
Debjyoti Ghosh	VISVA BHARATI UNIVERSITY	Alzheimer, Disease, MRI
Debjyoti Ghosh	Visva-Bharati University	Alzheimer
Robin Ghosh	Jackson state university	Image Analysis, CNN
Luca Giancardo	University of Texas Health Science Centerat Houston	machine learning, longitudinal connectomes
Neha Gianchandani	Manipal University Jaipur	Deep Learning, Alzheimer
James Giang	University of Agder	Machine learning masterthesis
Laura Gibbons	University of Washington	Genetics, using ADNI data as a teaching example, Friday Harbor
Richard Gibbs	Baylor College of Medicine	Structural variants; ADSP
Jesse Raphael Gibbs	National Institute on Aging, NIH	genetics neurodegeneration
Lauren Gibilisco	AbbVie	biomarkers, progression
Gary Gibson	Weill Cornell Medical College	conversion
camila gil	U. militar	Corazones.171
Sascha Gill	University of Calgary	Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging,
Joseph Giorgio	University of Cambridge	Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Muhammad Girach	Nottingham Trent University	MRI, Convolutional Neural Networks, Keras, Deep Learníng
Diana Giraldo	Universidad Nacional de Colombia	Morphometric Analysis
CHAITANYA GIRASE	Ezytek consulting pvt ltd	model building using Artificial intelligence technology
Giridhar giri	VKIT	Alzheimers, MCI, controls, MRI, fMRI
Charul Giri	University of Agder	3D CNNs, Alzheimer's detection, Alzheimer's prediction, Computer vision
Smith Giri	University of Alabama at Birmingham	Neural networks, AI
Juan D. Gispert	Fundació Pasqual Maragall	Partial Volume Correction,
Riccardo Giubilei	University of Rome La Sapienza	statistical learning, decision trees, classification
Averi Giudicessi	Columbia University	Alzheimers, Sex differences
Giovanni Giulietti	IRCCS Santa Lucia Foundation	magnetic resonance, DTI, Alzheimer, mild cognitive impairment
Felipe Giuste	Emory University	Neuroimaging, Machine Learning, Neuroinformatics
Helia Givian	South Tehran Branch of Islamic Azad Universiy	Alzheimer's disease, Neurological disorder, deep learning, MRI
Helia Givian	-	0440571898
Helia Givian	Islamic azad university south tehran branch	Alzheimer’s disease, deep learning, machine learning
Jacob Gjerdalen	University of Victoria	DTI
Scott Gladstein	AbbVie	image analysis, machine learning, patient stratification, clinical trial design
Kelly Glavin	University of Pittsburgh	diffusion MRI
Ezequiel Gleichgerrcht	MUSC	Neurology, connectom
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
David Godinez	University of North Texas	Data, alzheimers
Ryan Godwin	Wake Forest Baptist Health	Machine learning, artificial intelligence, glymphatic, PET, MRI
TRIPTI GOEL	NIT Silchar	Deep leaning, feature ranking
Gadi Goelman	Hadassah Hebrew University Medical Center	fMRI, coherence, directed pathways
Nitika Goenka	UPES	Health Data Analytics, ML
Jantje Goerdten	University of Edinburgh	Dementia, risk prediction, middle-age
Aditya Gogoi	Anthem Inc.	Deep Learning; Ensemble; onset Dementia;
Sheng-Yang Goh	UCSF	frontotemporal dementia
Suril Gohel	School of Health Professions, Rutgers University	PET, MRI, Alzheimer
Sapir Golan	Sheba Medical Center	AD, IRAP, IDCD, Diabeties
Mohammad Golbabaee	University of Bath	compressed sensing, machine learning
Ido Goldstein	The Open University of Israel	Deep Learning, image analysis
Felicia Goldstein	Emory University	task engagement, recognition memory, normal cognition, MCI, AD
Ali Golestani	University of Toronto	segmentation, deel learning, convolutional neural network
Ann Gollapudi	Pine Richland HIgh School	Alzheimer's diesease
Sepehr Golrizkhatami	Fraunhofer Institute	Event-based modeling, mechanism validation
Jesus Gomar	Northwell Health	Amyloid PET
Catalina Gomez	Universidad de los Andes	brain tumor segmentation,
Alejandra Gomez	University of Texas at El Paso	A0]POE4 gener, hippocampus, MRI images, behavioral test results, demographics
Jon Ander Gómez Adrián	Universitat Politècnica de València	Deep Learning; Semantic segmentation of medical images; Predictive models;
Vanessa Gomez-Verdejo	Universidad Carlos III de Madrid	machine learning, mri
Sofia Gonçalves	Instituto Superior de Engenharia do Porto	Alzheimer's disease
SAI KUMAR GONDI	Search Results Web results Dr.M.G.R. Educational and Research Institute	diabetes type-II , research , Deep Neural Networks
Liang Gong	Chengdu Second People's Hospital	APOE gene; functional connectivity; AD; Aging
JIAHONG GONG	Harbin Medical University	966730967
bangming gong	shanghai university	multi-view, medical imaging
Yu Gong	Shenzhen Institutes of Advanced Technology Chinese academy of sciences	joint imaging; reconstruction; accelerated MRI; low-dose PET
Kuang Gong	Massachusetts General Hospital	Deep learning, AD, MCI
Venkateswarlu Gonuguntla	Samsung Medical Science Research Institute	graph convolution, fMRI
Cassandra Gonzalez	CU Anschutz Medical Campus	Comparative Anatomy
PAULA GONZALEZ	CONICET-HEC-UNAJ	Aging, asymmetry, South American populations
Julian Gonzalez	escuela colombiana de ingenieria julio garavito	alzheimer, machine learning
Daniel Alejandro Gonzalez Salamanca	Universidad Nacional de Colombia	computational machine
diego maximiliano gonzalez vivanco	UNAM	Machine learning and artificial intelligence
Gabriel Gonzalez-Escamilla	University Medical Center of the Johannes Gutenberg-University Mainz	Aging, neurodegeneration
Max Goodman	UCLA	blood, CSF, biomarker, PET, MRI
Abbey Goodyear	National Institutes of Health - NIBIB	DTI
Dhruman Goradia	Banner Health	Machine learning, deep learning and AI
Brian Gordon	Washington University in St. Louis	tau, amyloid, PET
Marcia Gordon	Michigan State University	senescence, CDKN2A, microglia
Hailey Gordon	West Los Angeles Veterans Affairs	Alzheimer's Dementia 2FA PET Neural Imaging
ELENA GORELLI	UNIVERSITà DEGLI STUDI DI SIENA	Neural Network, CNN, Siamese network, MRI images, Alzheimer
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
Tsubasa Goto	FUJIFILM corporation	brain region, multimodal, predict progression, pTau
Tazuko K. Goto	Tokyo Dental College	Alzheimer Disease, tooth
Assaf Gottlieb	UTHealth	AD, FTD
Franziska Gottwald	Paderborn University, Germany	Alzheimer's prediction and treatment
Walaa Gouda	JOUF University	alzheimer, CAD
Daniel Gourdeau	Université Laval	Radiomics,AD prognosis, machine-learning, texture analysis
Megha Gowda	Student	Cognitively Normal(CN), Mild Cognitive Impairment(MCI),Alzheimer's disease,
Saksham Goyal	BML Munjal University	Reasearch, Computer Vision
Vidisha Goyal	Georgia Institute of Technology	Medical Image Processing
Shubham Goyal	Maharaja Agrasen Institute of Technology	Major Project
GAURAV GOYAL	CHITKARA UNIVERSITY	multiple sclerosis
sonal goyal	NSIT, New delhi, india	MRI, Classification
Palak Goyal	Thapar Institute of Engineering and Technology, Patiala	Alzheimer's Disease
Elveda Gozdas	Stanford University	Mild Cognitive Impairments
Illana Gozes	Tel Aviv University	ADNP, ADNP related genes, RNA-seq
Vijay GR	SJCIT	alzheimer's disease, MRI, CNN, image processing
SARASWATHY GR	M S Ramaiah University of Applied Sciences	Computational, Alzheimer's disease
Ariel Graff	Universtity of Toronto	depression, amyloid, PET
Jinko Graham	Simon Fraser University	multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Kamil Grajski	Nurosci, LLC	Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP
Ilaria Granata	National Research Council (CNR)	radiomics, classification, integration
Marilyn Grand'Maison	Biospective	PET, MRI, Alzheimer's, Cortical Thickness, AV45
Massimiliano Grassi	Villa San Benedetto Menni Hospital	Machine Learning, Conversion to Alzheimer's Disease, MCI
Lisa Graves	VA San Diego Healthcare System; UC San Diego	Neuropsychology; risk factors; mild cognitive impairment; Alzheimer's disease
Katherine Gray	Imperial College London	Alzheimer's disease; early diagnosis
Elisabetta Grecchi	GE healthcare	AD, amyloid, prediction
Elaine Green	Plymouth University	L1 elements, retrotransposons
Lior Greenberg	Israel Open University	student
Sara Greenfield	UC Davis	metabolites genome
David Greenstein	Multimodal Imaging Services Corporation	Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's
Allison Gregg	UT Southwestern Medical Center	neuropsychology, psychiatry, neuroimaging, neurocognitive
Sarah Gregory	University of Edinburgh	Cortisol Diabetes HbA1c
Michael Greicius	Stanford University	genes, structure
Joseph Grieco	Wake Forest School of Medicine	MRI Brain Alzheimer
Joshua Grill	UC Irvine	informant
Andrea Grioni	Central European Institute of Technology (CEITEC)	AD DREAM model prediction
Anthony Griswold	University of Miami	whole genome sequencing, ABCA7, VNTR
Janet Groat	Manukau Institute of Technology	machine learning, AI, Data Science
Colin Groot	VU University medical center	Alzheimer's disease, Voxel-based morphometry, psychometrics
Giuseppe Grossi	Ryerson University	Deep Learning, Computer Vision, Machine Learning
Matteo Grudny	University of Florida	diffusion magnetic resonance imaging, functional connectivity metrics
Arne Grundstad	AbbVie	AbbVie ADNI
anjani gss	NIT,Andhra Pradesh	machine learning project
Sandro Gsteiger	F. Hoffmann-La Roche Ltd	disease progression, economic model, natural history model
Nannan Gu	Shanghai Mental Health Center	cognitive impairment, Alzheimer’s disease, data-mining techniques
Luyan Gu	Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou	perivascular space
guojun Gu	Tongji Hospital, Medical School of Tongji Univers	ASL
Xuejun Gu	The University of Texas, Southwestern Medical Center	radiation, representation learning
dongdong gu	Hunan University	MRI
Hao Guan	UNC at Chapel Hill	machine learning, AD classification, MCI prediction
Yohn Guan	Shanghaitech University	disease progression, metric learning, multi task
Yi Guan	Boston University School of Medicine	Imaging, MCI, subtypes
zhao guanhua	Tianjin University of Traditional Chinese Medicine	machine learning，Alzheimer's disease
Cecilia Guariglia	Università Sapienza	dementia, cerebellum, mri
Egle Gudziuniene	Lithuanian University of Health Sciences	Alzheimer's disease, early diagnostics, dementia, brain damage
Tobias Guennel	Precision for Medicine	CSF, predictive, machine learning
Rosember Guerra Urzola	Tilburg University	Sparse Principal component analysis, High Dimensional analysis, Optimization
Besma Guesmi	ISIM Monastir (ISIMM)	8PI35
dhouha Guesmi	ISIM of SFAX	alzheimer's disease
Daniel Guetta	Columbia Business School	teaching random forests
Pamela Guevara	University of Concepción	white matter bundles, anatomy, machine learning
Peng Gui	Wuhan University	medical image registration
Agathe Guilloux	Université Evry - Paris Saclay	statistical learning, survival analysis
Vânia Guimarães	Faculty of Engineering of the University of Porto	Classification, Alzheimer's Disease
Abel Guimaraes	Ryerson	deep learning, Alzheimer’s Disease
Ana Guisasola	Universidade do Minho	machine learning, medical image, artificial intelligence
HE GUIYING	ruijin hospital	alzheimer's disease;fmri;early diagnostic markers
sharvari gujja	Wuxi NextCODE	machine learning, deep learning, genetic drivers
ESRA GÜLAY	ERCİYES UNIVERSITY	Alzhemier, fMRI
Doğuş GÜLGÜN	Mersin University	Deep Learning, Classification
SARITA GULIA	KRMU GURGAON	MATLAB, AD, ADNI
Joseph Gullett	University of Florida	Deep Learning, Neural Networks, Neurocognitive Function
TAMIL INIYAN GUNASEKARAN	Chosun University	SNP, GWAS, MRI, pathogenesis, neuronal damage.
TAMIL INIYAN GUNASEKARAN	Chosun University	Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease
Roger Gunn	Imperial College London	Mathematical Analysis, Classification, Machine Learning
Xiaoyan Guo	Qiqihar University	deep learning medical imaging
yu guo	huazhong university of science and technology	DTI
Bin Guo	Vanderbilt University	White Matter, BOLD, Lag time
Jiaming Guo	Massachusetts General Hospital	ordinal regression, progression of AD
Gavin GUO	The Hong Kong Polytechnic University	machine learning; transfer learning；AD
Tengfei Guo	University of California, Berkeley	Alzheimer's disease; amyloid; tau; neurodegeneration
Yanrong Guo	Hefei University of Technology	classification , neuroimaging
Pengfei Guo	Johns Hopkins University	MRI, acceleration, reconstruction
wenbin guo	Pingtan Comprehensive Experimental Area Hospital	alzheimer
Jia Guo	UC Riverside	motion artifact
MUKUN GUO	Nanyang Technological University	Cross-modality, domain adaptation
Pei Guo	Shanxi medical university	AD
zh guo	Bio-totem	deep learning
Yi Guo	Xiamen Branch, Zhongshan Hospital, Fudan University	ASL.
qingchun guo	CIBR	ASL, PET
Jia Guo	Columbia University	AD, MRI
haoming guo	The First Affiliated Hospital of Chongqing Medical University	MRI
Yining Guo	New York University	modeling
Shunchao Guo	Guizhou University	classification
Shang Guocan	South Central University For Nationalities	Image Segmentation, Image Landmark Extraction
Feng Guozheng	Beijing Normal University	Congnitive disease; prediction
Vinay Gupta	University of Manitoba	Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Yubraj Gupta	Chosun university	CNN, Alzheimer disease
Sunidhi Gupta	NYU	Alzeihmer, dataset, predict
Sanskriti Gupta	NCU	FMRI, Alzheimer's Disease, Dee Learning
Priyanka Gupta	Indian Institute of Science	MCI, Alzheimer's
Ankit Gupta	Siemens Healthcare Private Limited	biomarkers imaging prediction
Vivek Gupta	Softsensor.AI	AI, Alzheimer, segmentation, disease progression
Pranav Gupta	IIT BHU	CNN, Image Processing, Dementia classification
Prajwal Gupta	PESU	Super resolution, MRI, neural network, image enhancement
Rishab Gupta	SUNY Downstate Medical Center	Alzheimer Disease, Outcome, ethnicity
Amrit Gupta	Vellore Institute of Technology, Chennai	Predect Alzeihmer's using Machine learning
Vishu Gupta	Malviya National Institute of Technology	dementia, Alzhemer's
Aditi Gupta	KUMC	Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI
gaurav gupta	Shoolini University	Alzheimer image segmentation machine learning
Ashish Gupta	Independent Researcher	Machine Learning, Deep Learning
Satyam Gupta	Ajay Kumar Garg Engineering College Ghaziabad	neuroimaging
VAIBHAV GUPTA	AKGEC GHAZIABAD	ALZHEIMER'S DISEASE
SHLOMIT GUR	Penn State University	Evolving functional connectivity analysis, machine learning, graph theory
harsimran guram	LPU	Machine learning, deep learning,dementa
Antoni Gurgui	IBEC	progression model, alzheimer disease, simulation,
Segolene GURNOT	le wagon	diagnosis prediction longitudinal imaging
Mahmut Edip Gurol	Massachusetts General Hospital	CAA, cortical thickness, controls, AD
Jose Gutierrez	Columbia University	arterial diameters, beta amyloid, tau
Boris Gutman	University of Southern California	DTI, diffusion MRI, Alzheimer's, human connectome
David Gutman	EMORY UNIVERSITY	mri dti adni
Rodney Guttmann	University of West Florida	Secondary data analysis, public health,minorities, rural
Beata Gyorgy	ICM	gwas, personalised medicine, longitudinal analysis
Sung Min Ha	Washington University in St. Louis	Alzheimer's Disease, Machine Learning
MARYAM Habadi	King Abdulaziz University	Alzheimer’s disease, parametric analysis, copula, bivariate distribution
Reggie Habas	Lambda School	Blank
Mohamad Habes	UPENN/UTHSA	machine learning
Mohamad Habes	UTHSA	neuroimaging, deep learning
yibeltal habtamu	AAiT	data,information,knowledge then wisdom.
Tetiana Habuza	UAE University	brain atrophy,VBM
Maren Hackenberg	Medical Center - University of Freiburg	deep learning, dynamic modelling, personalised medicine, machine learning
Mallory Hacker	Vanderbilt University Medical Center	PDRP, PDCP, ADRP, FDG-PET
Amir Hadanny	Shamir Medical Center	head circumference
Seyyed Mohammad Hassan Haddad	University of Western Ontario	Resting-state fMRI, Amyloid PET, Brain Activity
Christoforos Hadjichrysanthou	Imperial College London	Alzheimer’s disease; biomarker trajectories; clinical trial simulations;
Ida Haeggstroem	MSKCC	pet; survival; deep learning
Kirsten Hagen	Oregon Health & Science University	plasma, oxylipins
Amin Haghani	University of California Los Angeles	Alzheimer, DNA methyalation
Georg Hahn	Harvard T.H. Chan School of Public Health	population stratification, locStra, local analysis
Yan Hai	Georgia state university	confidence interval, sensitivity
Ye HaiLi	CASIA	CV
Nic Hainc	TWH	deep learning keras
Jiang Haitao	USTC	scientific research
Nahid Hajizadeh	Shiraz University of Technology	Alzheimer
Navneet Hakhu	University of California, Irvine	enrichment, model misspecification, mean-variance, bias, clinical trials
Omar Halawa	Harvard Medical School	IADL, neuropsychiatric symptoms, tau PET
Amy Halpin	University of Maine	CSF biomarkers, cut points, demographics
Osama Hassan Hamadelseed Abdualrahman	Institute of Anatomy & Cell Biology / Heidelberg University	Down Syndrome, Alzheimer disease. Neuroanatomy, Neuroimaging
Radin Hamidi Rad	Ryerson University	AI, Machine Vision
Tyler Hammond	The University of Kentucky	cognitive reserve, Alzheimer disease, aging, DTI, MRI
Solveig Hammonds	Helse Stavanger HF	Prodromal dementia, deep learning, MRI
Olivia Hampton	Massachusetts General Hospital	PACC, harmonization, amyloid, cognitive decline
Maryam Hamzelu	Tarbiat Modares University	Deep learning, machine learning
Feng Han	the Pennsylvania State University	biomarker, fMRI, brain dynamics, prediction model
Hyeseon Han	Unomic	dementia, MRI, PET, machine learning
JIYONG HAN	KOREA	Deeplearng; Gan; Classification
Liang Han	Chongqing University	early detection, MRI, MCI, AD, Artificial Intelligence
qinghua han	Yunnan university	Alzheimer's disease(AD,MCI,machine learning,deep learning,ADNI
Ruizhi Han	University of Macau	Image classification, Computer vision, Computer aided diagnosis
liting han	University Of Shanghai For Science And Technology	analysis
fei han	Shanghai Maritime University	ml
Wenjing Han	Capatical Medical University	gene multimodal
Duke Han	USC	cognition, neuroimaging
yujeong han	konyang university	deep running
christopher hancock	University of California Riverside & HALO Dx	Alzheimer's disease, dementia, MCI, AD, HC, CU
Francis Hane	Lakehead University	AD prediction, APOE4, Bayesian
liu hang	Tsinghua university	apoech
kong hang	Beihang university	deep learning,medical image
Alexandru Hanganu	University of Montreal	T1, fMRI, rsfMRI, DTI
Nicolai Hans	Humboldt University	copula regression, boosting, feature selection in medicine
Bernard Hanseeuw	Massachusetts General Hospital	Striatum hippocampus
Maria Hansen	Technische Hochschule Mittelhessen	Alzheimer's Disease, Neuronal Networks
Kevin Hanson	University of Florida	Machine learning, prediction, TBI, APOE, biomarkers
Zhiying Hao	University of Electronic Science and Technology of China	machine learning ; medical image processing
ziteng hao	beijingjiaotongdaxue	alzheimer-disease-prediction
hu hao	Qing Dao University	Alzheimer's disease； blood biomarkers； early diagnosis
JIANG HAO	NEU	12345642
Gaoyang Hao	Jiangnan University	Image Registration
Yang Hao	Beihang University	Functional imaging, brain connectivity
Meiling Hao	University of International Business and Economics	Gene; Statistical Analysis; AD
Muhammad Haque	University of Texas, McGoveern Medical School	ASL, Stroke
Joanna Haralampieva	Imperial College London	Brain Imaging, Machine Learning, Neurodegenerative Diseases
Oscar Harari	Washington University in St Louis	Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau
Cheshire Hardcastle	University of Florida	Resting-state network, resting-state connectivity, MCI, aging, cognition
Seth Austin Harding	Reliance Biosciences	artificial intelligence in dementia alzheimer's treatment therapy AD score
Ian Hardingham	Oxford Brain Diagnostics	DTI MRI
Evan Hare	University of Southern California	Early Detection, Amyloid-Negative, TDP-43, Amyloid, Tau, Biomarker
Poornima Haridas	New York University	GNN, Deep Learning, Alzheimer's Disease
Amal Harrati	Stanford University	Genetics, using ADNI data as a teaching example, Friday Harbor
Breanna Harris	Texas Tech University	cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Danielle Harvey	Unversity of California, Davis	biostatistics
Brandon Harvey	Emory University	Alzheimer's Disease, Quasi-Periodic Potentials, fMRI, connectivity
md tasnimul hasan	University of potsdam	Image classification
noorul hasan	National Institute of Technology	Image Segmentation
Md. Mahmodul Hasan	Mawlana Bhashani Science and Technology University	AD, CNN, SVM, AD Detection
Ali Hasan	Al Nahrain University	Deeplearing
Syifa Hasanah	ITB	final project
parham hasani	university of Tabriz	data science, machine learning, AI
Jonathan Hasbani	ITBA	Neural networks, machine learning, Alzhei
Gwenole Hascoet	Georgia Institute of Technology	prediction, Alzheimer, progression
Arsalan Hashemiaghdam	Yale University	Cognition, Alzheimer's disease
Somaye Hashemifar	Columbia university	Machine learning, Research
Ramin Hashimzade	Private Person	Data Science
Jakub Hasiec	Warsaw School of Economics	Predictive modelling, data mining, Alzheimer's disease
Grant Haskins	EvoAI (new start-up)	Deep Learning, Machine Learning, Medical Image Analysis
Mahmoud HASSAN	Rennes University	EEG; Dysfunctional Brain networks;
Sean Hatton	UCSD	MRI, data harmonization
Daniel Hauber	Gerontology	teaching
Marc Haut	West Virgnia Univesity	ultrasound
Toshihiro Hayashi	University of Tokyo	MRI, psychology, biomarker
Jasmeet Hayes	The Ohio State University	Parkinson's disease; cortical thickness; genetics
Chris Hayward	Newcastle University	Cognition, Structural connectivity, Brain, MCI, IQ
RUHUL AMIN HAZARIKA	NEHU	Alzheimer detection using brain MRI
AMLAN PROTIM HAZARIKA	JADAVPUR UNIVERSITY ,KOLKATA	MRI, Fuzzy Theory, Machine Learning
Suvojit Hazra	University of Calcutta	neuroimaging
Nalini Hazra	USC	Alzheimer's
Linchen He	New york university	Association test, binomial mixture model, complex disease, genetic heterogeneity
Chenyu He	Shanghaitech University	Segmentation, T1, Human Brain
Zhen He	La Trobe University	deep learning, computer vision
shanshan he	jilinunivercity	soft
Xiaoning He	The Second Affiliated Hospital of Dalian Medical University	Radiomics
lemin He	Shandong first medical university	AD Brain Network Multimodal
Tao He	San Francisco State University	set-based association, pathway analysis
Michael He	University of Manitoba	Alzheimer's Disease, Temporal Lobe Epilepsy, FDG-PET
Eric He	UNC	MIA
Yuening He	Georgia State University	Apathy
yuru he	Sounth Medical University	PET-MR
Xuanning He	Australian National University	Dementia, Cognitive Function, Lifestyle, Cognitive Reserve
Hao He	Georgia Institute of Technology	course project
Siyuan He	Changchun University of Science and Technology	computer aided diagnosis, deep learning
wenwen he	Guizhou Medical University	experiment
Changxiang He	University of Shanghai for Science and Technology	Geometric renormalization unravels self-similarity of the multiscale human conne
Qiliang He	Georgia Institute of Technology	flicker exposure
Yao He	University of Utah	PET, FDG-PET, Focal AD
Liqin He	UCLA	Alzheimer patient's neuroimage, early detection, convolutional neural network
Ke He	Tsinghua University	Registration, deep learning
xiaoxi he	Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji	861130
Alesha Heath	Stanford	Variable Number Tandem Repeats, genetic association, biomarker prediction
Rolf Heckemann	Imperial College London	anatomical segmentation, morphometry, volumetry,
Dennis Hedderich	Technical University of Munich	Magnetic resonance imaging, cortical thickness, positron emission tomography
Adrian Heeger	University Hospital Düsseldorf, Germany	brain atrophy, automated workflow, brain aging, brain volume
Joseph Heenan	IQVIA	bayesian methods, machine learning
Mohamed Hefny	Queen's University	Medical Data Analysis, MUltisource data integration, Disease Understanding
leili heidaryan	sd	2
Luca Heising	Tilburg University	Machine learning, Deep learning, Early detection, Alzheimer's
Mohsen Hejrati	Genentech	Deep Learning, Progression Prediction
Khan Hekmatyar	University of Delaware	MRI, Image analysis, python, DTI,
Jarle Helle	Western Norway University of Applied Sciences (HVL)	Neural network, Brain age, Predict, MCI, Alzheimer's disease
Caroline Hellegers	Duke	NFL
Jesse Helman	Janssen Pharmaceutical Companies of Johnson and Johnson	tau PET, correlation, rbans, adas-cog, cdr-sb, multiple outcomes
Christopher Hemond	University of Massachusetts	atrophy, neutrophil-lymphocyte ratio
Andrew Henney	JCU	Generative Adversarial Networks
Rui Henriques	Instituto Superior Técnico, Universidade de Lisboa	Classification, Clustering
Felix Hensel	ETH Zurich	machine learning
dawoon heo	Korea Univ.	deep learning
Tobias Hepp	University Hospital Tuebingen	Deep Learning, Age Estimation
Renato Hermoza Aragones	The University of Adelaide	Deep learning, reinforcement learning, survival prediction, biomarkers
Monica Hernandez	University of Zaragoza	Computational Anatomy
Marcus Heron	University of ulster	Data Science, 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
Kilian Hett	Vanderbilt University	Tensor-based analysis, Diffusion MRI
Stephen Heun	Avid Radiopharmaceuticals	Flortaucipir
Nidiyare Hevia-Montiel	IIMAS-UNAM	segmentation, morphometric descriptors
Nargess Heydari Beni	University of Waterloo	Brain, Imaging, MRI, CT, PET
Aaron Heyne	Technische Hochschule Mittelhessen	Diagnosis Alzheimer CNN Convolutional Neural Network Wavelet
Zhang Heyu	The first hospital of Sun Yat-sen University	cognitive statu，biomarkers，tau PET
Derrek Hibar	Genentech, Inc	imaging genetics, cognitive decline, robust statistics
Charlie Hicks	Oxford Brain Diagnostics	DTI
Steven Hill	University of Cambridge	risk prediction, biomarkers
Frank Hillary	Pennsylvania State University	hyperconnectivity, MCI, risk, neurodegeneration
Laura Hillmer	University of New Mexico	vascular dementia, mixed dementia, white matter
Christian Hinge	University of Copenhagen	Deep Learning, Dementia, Alzheimers, GAN, domain transfer, MR, PET
Max Hinne	Radboud University	Generalized Wishart Processes; network regression
Jakub Hlavka	USC Price School	outcome measurement, Alzheimer's disease, functional, behavioral, cognitive
lakshitha hm	studying	preclinical stage detection
Nick Ho	The Hong Kong Polytechnic University	machine learning, dementia prediction, feature importance
Ngoc-Huynh Ho	Chonnam National University	Deep learning, Bioinformatics, AD
Diem HO	University of Tours	graph comparison, brain connectome
Raymond Ho	ouhk	machine learning, empirical mode decomposition
Ngoc-Huynh Ho	Chonnam National University	Deep learning, Bioinformatics, AD
Lara Hocurscak	FMF UL	FDG-PET, Alzheimer's disease
Merle Hoenig	University Hospital Cologne	resilience, PET, polygenic risk
John Hoffman	University of Utah	FDG-PET, SPM group analysis
Malte Hoffmann	Martinos Center	longitudinal morphometry Freesurfer
Kareen Hoffmann	University Hospital Magdeburg	vascular dementia, small vessel disease, T2*-weighted MRI, fdg pet
Ryan Hogan	St. John's University	Computer Vision
Jacqueline Hogan	University of Massachusetts Boston	vvvvv
Timothy Hohman	Vanderbilt University School of Medicine	Genetics, Resilience, Asymptomatic,
Seyed Hani Hojjati	University of Tennessee Health science Center	Alzheimer's disease, PET, sMRI, DTI , Neuropsychological tests
Daniel Holder	Merck Research Laboratories	Biomarkers
Todd Hollon	University of Michigan	Pituitary gland, neural networks, pituitary adenomas
Sean Holmes	Invicro, LLC	Amyloid, ADNI, DICOM, Tau
Robin Holmes	University Hospitals Bristol	Machine learning, VBM
Henne Holstege	Amsterdam UMC	Genetics, Alzheimer
Robyn Honea	University of Kansas School of Medicine, Alzheimer's Disease Center	family history, structural brain imaging, mitochondria
luwei hong	Zhejiang University	192837465
Chae Moon Hong	Kyungpook National University Hospital	Amyloid, Alzheimer, white matter hyper intensity
Eunpyeong Hong	vuno	AI, deep learning
Ziming Hong	Huazhong University of Science and Technology	medical image analysis; deep learning; graph convolution network
xin hong	XiaMenUniversity	AD, Prediction
HaoTian Hong	Shanghai University	RSFC fMRI-BOLD
junyong hong	Dongseo University	machine learning
CHAELIN HONG	Asan Medical Center	MR image feature detection from Deep learning model
Xuesong Hong	CSU	biomedical research
Manzhi Hong	SUN YAT-SEN UNIVERSITY	study
Jimin Hong	Seoul National University Hospital	unsupervised learning, Alzheimer's disease, imaging biomarker
Yue Hong	The Martinos Center	neuropsychology, machine learning
Sungmin Hong	Massachusetts General Hospital	Segmentation, Clinical-grade images, Shape Analysis, Longitudinal Shape Analysis
Shenda Hong	Peking University	deep learning, causal inference
junyong hong	Dongseo University	machine learning
Min Hong	Yanshan University	Hm321654987
liu hongli	Beijing university of technology	research,MCI,classification
zou hongliang	Nanjing University of Science and Technology	research
Yi Hongyuan	zhongshan hospital，shanghai	AD
Xu Hongzhou	Southwest University	Alzheimer's disease dMRI fmri Brain network
Xu Hongzhou	Southwest University	Alzheimer's disease 那天、
Bradley Hooker	AbbVie	Machine Learning Texture-Based Analysis tau PET
ahora hoooseyni	none	abc
Madeline Hooten	Arizona State University	Structural Volume Analysis
Paramate Horkaew	Suranaree University of Technology	Image Processing
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
Muhammed Alperen Horoz	Firat University	Alzheimer
Rebecca Horst	Western University	DTI, biomarker, subjective cognitive impairment, conversion
Steve Horvath	University of California Los Angeles	DNA methylation, SNP, epigenetic age, epigenetic clock, brain volume, MRI
Momoka Hoshiko	FUJITA HEALTH UNIVERSITY	Mild Cognitive Impairment
Md Sajjad Hossain	North western university,Khulna	thesis,research
MD.Ali Hossain	MIU	Deep learning, CNN, RNN
Md Jakir Hossain	UTRGV	TSCCA
Gazi Hossain	University of Eastern Finland	PET Dementia MRI
Rana Hossam Elden	Helwan University	Alzheimer’s disease, classification
Hadi Hosseini	Stanford University	big data, prediction
seyede maryam hosseini	K.N. Toosi University of Technology, Tehran, Iran	Alzheimer's disease; deep learning
Alin Hou	Changchun University of Technology	convolutional neural network; auxiliary diagnosis
DI HOU HOU	JILIN UNIVERSITY RESEARCH	BRAIN MRI T2
Yuxuan Hou	ZJU	jifaley
wentao hou	Hebei University of Technology	academic research
Nicholas Hou	Columbia University	Deep Learning, General Adversarial Network, Alzheimer
liting hou	Hebei University of Technology	Alzheimer fMRI
Katherine Houghton	RTI Health Solutions	biomarker, natural history, cost effectiveness
Erin Householder	Washington University School of Medicine	: As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
Taylor Howell	UCSF	online validation
Renee Howell	Siemens Healthineers	clinical study, MRI, PET, cgnitive assessment
James Howlett	Medical Research Council	EPAD Risk Modelling
Rubaiyat Hridhee	Chittagong University of Engineering and Technology	volumetric analysis, voxel based morphology
Stephanie Hsieh	Massachusetts General Hospital	Sex differences, Tau, Amyloid, PET
Tsung-Yu Hsieh	The Pennsylvania State University	Causal discovery
ChungFu Hsu	Chung Shan Medical University Hospital	Functional MRI, PET, Dementia
jialin hu	shanghaijiaotong university	neural circuit
Lixia Hu	Shanghai Lixin University of Accounting and Finance	arying-coefficient additive models, Local linear estimators, Tensor product of
lingzhi hu	UIH America	PET/MR
Zhen Hu	Johns Hopkins University	connectome publication and open source dataset
Kaiqin Hu	Xi'an Jiaotong University	Maching Learning
Lily Hu	Peking Union Medical College	Mendelian randomization, Alzheimer disease,
xiaoyu hu	peking university	fpca
Shunbo Hu	Linyi Univeristy	image segmentation
Jen Hu	Chung Shan Medical University	Resting state fmri
Jinlong Hu	South China University of Technology	brain diseases diagnosis, machine learning algorithm
helen hu	SHU	AD diagnosis
Tom Hu	UC Berkeley	CNN, Tensor, Regression, Deep Learning
Yang Hu	South-Central Minzu University	classify and detect Alzheimer's disease
Arise Hu	Beijing University of Posts and Communications	computer-aided diagnosis
Ying Hu	University of Shanghai for Science and Technology	MRI ;Deep Learning; AD Biomarkers
Shi Hu	University of Amsterdam	deep learning, medical image analysis
Jiazhen Hu	University of Melbourne	Image Segmentation, Image Synthesis
qian hu	Northeastern University	deep brain structures,childhood autism, adult depression,Alzheimer's disease
Jingjing Hu	The Affiliated Drum Tower Hospital of Nanjing University Medical School	MRI, classification, AD
Ting Hu	Queen's University	Machine Learning, Artificial Intelligence, Metabolomics
Sheng Hu	Anhui University of Chinese Medicine	AI
huafeng hu	Xi'an Jiaotong-Liverpool University	Deep Learning, Medical Image Classification
huaqiang hu	IQubic(beijing）Tech LTD.	MRI PET
Lingjing Hu	Capital Medical University	Texture analyze, VBM
Guanghui Hu	Fuzhou University / China	datasets
Mingyue Hu	Central South University	prediction model
Yanglin Hu	Northwest University	Alzheimer
Xixu Hu	University of Science and Technology of China	ADNIMERGE
Cong Hu	Jiangnan University	artificial intelligence, pattern recognition, image processing
Nan Hu	Genentech	biomarker; disease progression
Sunyu Hua	The second affiliated hospital of Soochow Unversity	Alzheimer’s disease;cortical thickness;cortical complexity
Li Hua	Wuhan University	segmentation
jiang hua	Liaocheng University	resting state fMRi
Tao Hua	Huashan hospital, Fudan university	Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Luchi Hua	McMaster University	alzheimer, deep learning
liu huan	sichuan university	Artificial intelligence、deep learing
chenyu huang	JILIN university	H+
Sharon Huang	Stanford Linear Accelerator Center	Stanford, AD, Machine learning, Bayesian Statistics
xinlin huang	Jiangsu Normal University	Deep learning; Alzheimer's disease; Structural magnetic resonance imaging
difeng huang	bioX Industrial Institute	ai
Yin Huang	Lerner Research Institute - Cleveland Clinic	metabolomics, network, biomarkers, Alzheimer’s Disease
huaidong huang	The Second Affiliated Hospital of Shantou University Medical College, China	Alzheimer's disease, machine learning, early diagnosis
Peiyu Huang	Zhejiang University	CBF, network
Chao Jung Huang	National Taiwan University	AD prediction
yali huang	Hebei University	white matter functional activation
ZHIXIN HUANG	Guangdong Second Provincial General Hospital	neurology; risk factor; Alzheimer's disease
Li Huang	wuhan university	brain aging, prediction model
Mengni Huang	university of leeds	prepare dissertation, do research
Yongxiang Huang	The Hong Kong University of Science and Technology	Deep Learning, alzheimer diseases
XIAO LIN HUANG	University of Science and Technology of China	Computational Model, Alzheimer’s Disease Diagnosis,
Yuan Ling Huang	Chang Gung University	Alzheimer’s Disease, deep learning, Mild Cognitive Impairment
chenyu huang	JILIN university	H+
Vicki Huang	Georgia Institute of Technology	classification, progression, prediction, deep-learning, Alzheimer's Disease
Haiyu Huang	Southwest Jiaotong University	Classification of Alzheimer
Yunyou Huang	Institute of Computing Technology, Chinese Academy of Sciences	classify, predict, Alzheimer's disease
Xucheng Huang	Friedrich-Alexander-Universität Erlangen-Nürnberg	student thesis
Xianzheng Huang	University of South Carolina	Mode regression, prediction, regressor
Chao Huang	UNC	multiscale adaptive regression model shape analysis
Jinyan HUANG	Shanghai Jiao Tong University School of Medicine	Leukemia, Bioinformatics, Alzheimer
Kalvin Huang	NYU Grossman School of Medicine	white matter hyperintensities, biomarker, cognitive decline
Jie Huang	Michigan State University	resting-state fMRI, functional connectivity
Zhiwei Huang	Southern Medical University	Alzheimer's disease; diabetes; biomarkers
Weijian Huang	Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences	machine learning
Huey-Jing Huang	Takeda California	biomarkers
Yali Huang	Hebei University	white matter; fMRI
Chu-Chung Huang	National Yang-Ming University	white matter lesion
MAO LUN HUANG	National Chiao Tung University	951258
Kun Huang	Indiana University School of Medicine	Alzheimer's disease; Biological markers;
ShengYao Huang	Chang Gung University	AD
Pauline Huang	Stony Brook University	alzheimers
Meiyan Huang	Southern Medical University	association anlysis
Weijie Huang	Beijing Normal University	preclinical amyloid
YA-LIN HUANG	National Tsing Hua University	rs-FMRI, federated learning
jin huang	wuhan textile university	medical image, deep learning
Jiayin HUANG	Hospital	Risk decision making，aMCI，MRI
Shuaihui Huang	South China Agricultural University	Alzheimer's disease
Taha Huda	University of South Florida	Immune Receptor Recombinations, HLA
Manuel Huerbin	MIAC AG	Morphometry
Ismael Huertas	Institute of Biomedicine of Seville	FDG PET, intensity normalization
Perrine Huet	Sorbonne University	nonlinear, AD, PLOS
Andrew Hufton	Springer Nature	data-peer-review metabolomics
Kgosi Hughes	Wake Forest University	Alzheimer's disease, magnetic resonance imaging (MRI), PET, biomarkers
yoonsuk huh	UCSF	Deep learning, Alzheimer's disease, 18-F-AV45
Frank Hui	Burnaby North Secondary School	Convolutional Neural Network, Glioblastoma Multiforme, MRI scans, healthy brains
Aw Hui Yee	University Malaysia Perlis	Alzheimer disease
Yan Chai Hum	Universiti Tunku Abdul Rahman	Educational Material
Noemi Hummel	Analytica Laser	disease modelling
Melissa Humphries	The University of Adelaide	Missing data, network analyses, generalised linear models
Hsing-I Hung	National Chiao Tung University	machine learning research survey bioinformatics
LEE HUNG-CHANG	National Central University	PCA/ICA/wavelet analysis
Zhiguang Huo	University of Florida	statistical methodology, clustering algorithm, Alzheimer’s disease subtypes
Mykyta Hupalo	KPI	bio
Kathleen Hupfeld	University of Florida	DWI, aging
Hans-Jürgen Huppertz	Swiss Epilepsy Centre	MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
renad hussain	King abdulaziz university	RENAD
Shaista Hussain	Institute of High Performance Computing	Deep learning
R. Matthew Hutchison	Biogen	Tau, Amyloid, functional connectivity, brain dynamics
Kevin Huynh	Baker Heart and Diabetes Institute	lipidomics, metabolomics
Alihan Huyuk	University of Cambridge	imitation learning, behavioral cloning
Jeong Yong Hwang	GIST	Dataset
seung hyun Hwang	Severance Hospital, South Korea	Deep learning, Machine Learning, Early detection
hyunho hwang	hanyang university	skull stripping
Youngeun Hwang	Neuroscience Convergence Center	Diffusion weighted MRI
Seong Jae Hwang	University of Wisconsin-Madison	longitudinal, connectivity, amyloid, deep learning, uncertainty estimation
mo hyeonmin	ajou unversity	alzheimr
Matthew Hyett	University of Western Australia	depression; mild cognitive impairment; Alzheimer's disease; resting-state fMRI
JUNGMOON HYUN	Northwestern University- Feinberg School of Medicine	Aging, dementia, brain, clinical data
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
Sergio Iadevaia	Takeda Pharmaceuticals	QSP, ML, disease progression, mathematical modeling
Francisco iarussi	Universidad Nacional del Centro de la Provincia de Buenos aires	thesis,hippocampus
Abdultawwab Ibiyeye	Federal Polytechnic, Offa	Alzheimer, Machine Learning
Nabeela Ibrahim	JHU APL	Precision Medicine, Alzheimer's, Brain Imaging
Samuel Iddi	University of Ghana	Alzheimer's, Joint Models, Prediction, Statistical models
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
Siddarth Ijju	Stony Brook University	GNN, Connectome, Connectivity Networks
Yasuhiko IKARI	Kobe City Medical Center General Hospital	PET, tau, amyloid
Toshikazu Ikuta	University of Mississippi	DTI; tractography; genetics
Ahmad Ilham	Universitas Muhammadiyah Semarang	Alzheimer Predictiion, Machine Learning
Ignacio Illán-Gala	Hospital de la Santa Creu i Sant Pau	diffusion tensor imaging; Alzheimer's disease; tau; Amyloid
Guillermo Illana	Universidad Politécnica de Madrid	AI, Alzheimer disease, AD, preclinic, DTI, T1
Talha Ilyas	Jeonbuk National University	Segmentation
Jaegeun IM	KAIST	fMRI, brain network, Alzheimer's disease
Masamichi Imai	Tokyo Metropolitan Institute of Gerontology	network analysis
Daiki Ina	Harvard University	AD, Deep Learning, CNN, MRI
Vanda Inacio de Carvalho	University of Edinburgh	Accuracy, ROC surface, Statistics, Regression, Alzheimer disease
Himaja Indukuri	vertexsoft	Deep Neural Network
Ajinkya Indulkar	Radboud University	Ensemble Techniques, TADPOLE
Park ing	Acme	Clustering
Silvia Ingala	Amsterdam UMC	amyloid, alzheimer, MR, imaging, T1
Marianna Inglese	Imperial College London	radiogenomic, alzheimer disease
Haruhisa Inoue	Kyoto university	Aβ, iPS cells, GWAS
Philip Insel	NCIRE	power, rates of change
Sin Intae	iheuron	Brain Image Processing
Ruxandra Ion	University College London	machine learning alzhimer's
Nancy Ip	The Hong Kong University of Science and Technology	synapse, cell surface receptors, kinase
Ahmed iqbal	COMSATS University Islamabad	Alzheimer, Desease, Detection
Khajasta Iqbal	University of Wah	Alzheimer detection, MCI detection
Saeed Iqbal	University of Central Punjab	Brain MRI, Alzheimer Segmentation
muhammad irfan	Western Sydney University	MRI, prediction, PET, MMSE, Cognitive tests, Machine learning
Suhib Irsheidat	Jordan University of Science and Technology	Deep,learning,comptuer,mri,images
David Irwin	University of Pennsylvania	UDS, GWAS
Runar Isaksen	SSHF	ML, MRI, Alzheimer, Image Detection
Makoto Ishii	Weill Cornell Medical College	biomarkers, metabolic hormones, preclinical
Jyoti Islam	Georgia State University	fMRI, Alzheimer’s Disease, Deep learning, CNN
NUR HAFIEZA ISMAIL	Texas A&M University	Alzheimer's disease
NUR HAFIEZA ISMAIL	Texas A&M University	Alzheimer's disease
Victor Ernesto Issa Garcia	Tecnologico de Monterrey	Freesurfer, volumetry, neurodegeneration, sMRI
Kaori Ito	USC	neural networks
Daisuke Ito	Nagoya Universiy School of Medicine	Metabolomics
Sakiko Itoh	Osaka University	AD, MCI, subtype
simona itri	università vanvitelli	alzheimer disease
Yasser Iturria Medina	Montreal Neurological Institute, McGill University	multimodal biomarkers, disease progression, personalized treatment needs
Jana Ivanidze	Weill Cornell Medicine	tau PET, amyloid PET, MMP-9, multimodal biomarkers
Alexander Ivliev	Clarivate Analytics	amylin pathway
Hirotaka Iwaki	National Institute on Aging, National Institutes of	GWAS
Yutaro Iwamoto	Ritsumeikan University	segmentation, image restoration, unsupervised learning
Yuma Iwao	NIRS	Segmentation Deep learning
Atsushi Iwata	The University of Tokyo	J-ADNI
Akshay Iyer	Worcester Polytechnic Institute	Alzheimers, brain MRI scans, image analysis, artificial intelligence
Archana Iyer	MKSSS's Cummins College of Engineering for Women, Pune	Brain imaging, MRI, Alzheimer's disease, ML, Image processing, DL
Walter Izquierdo	Florida International University	BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
Nick Izzo	Cognition Therapeutics	proteomics, metabolomics, genomics
Abhijith J	College of engineering, Trivandrum	Alzheimer's image processing
j j	University of Vermont	temporary, analsysi,
FEMINA J	ANNA UNIVERSITY	alzheimer's dataset
Jaikanth J	SASTRA	3D CNN, Alzheimer’s, detection
Neelaveni J	Sri Ramakrishna Engineering College	Access
Mehdi Jabari	Shomal University of Amol	Implementation, Assignment
Emimal Jabason	Concordia	Image Processing
Basma Jaber	Goldsmiths, University of London	Recurrent Neural Network, Alzheimer's Disease.
Bineesha Jabi	TKMCE	MRI brain image
T. Bryan Jackson	Texas A&M University	cerebellum, functional connectivity
Sean Jacobs	Eisai, Inc.	Prototype
Diane Jacobs	UC San Diego	MCI, Cognitive Composite, Rate of Change
Tanner Jacobson	Indiana University School of Medicine	GWAS, Multivariate
Thomas Jacquemont	Institut du Cerveau et de la Moelle	Alzheimer, SNAPs, DWI, connectomics
Shruti Jadon	Quantiphi Inc	Research
CHOI Jae Hyeok	gyeongsang national university	dementia and the brain of the general public
JUNG JAE WOO	hansung university	Alzheimer
reza jafari	WTIAU	thesis
Neela Jagan	Sri Ramakrishna Engineering College	Access MRI images
Suresh Jaganathan	SSN College of Engineering	Deep Learning, Stacked Auto Encoder, Multilayer Perceptron
MUHAMMAD SHAH JAHAN	College of Electrical and Mechanical Engineering,NUST	MCI,AD,Capsule Network
Nimisha Jain	netaji subhas institute of technology	machine learning,deep learning,MRI scan dataset, Analysis,Alzheimer's disease
Ishan Jain	Jaypee Institute of Information Technology, Noida sec-62, India	MAchine learning
Parag Jain	Indian institute of information technology gwalior	Graph Neural Networks , Resnet
manju jain	Guru Gobind Singh Indraprastha University	sMRI,Brain atrophy, machine learning,SVM,CNN
Rohan Jain	PES UNIVERSITY	Extreme Learning Machine, Accuracy comparison, Alzheimer's
Nikša Jakovljević	University of Novi Sad, Faculty of Technical Sciences	assistant professor, signal processing, pattern recognition, programming
Shima Jalalian Sedaghati	Stevens Institute of Technology	protein diffusion in dementia
Zahra Jalalvand	Central Tehran Branch Islamic Azad University	MRI, Alzheimer's disease, dti, fsl, Explorer dti
Sharna Jamadar	Monash University	parenthood, cortical thickness, connectivity
Samira Jamalian	Genentech	Disease progression model
Jithu James	Middlesex University	machine learning, dementia, analysis, predict
JOANNA JAMES	Kolachalama Lab	MRI data
Emmanuel Jammeh	University of Plymouth	demenia, parkinsons, bioinformatics, machine learning, decision support systems
ehsan jamshidi	University of Tabriz	Alzheimer's Disease- Deep Learning
Ananya Jana	Rutgers University	computer vision, deep learning
Mohammed Janahi	UCL	Nomogram Hippocampus Volumes AD UKBioBank
yuf jane	the first affiliated hospital of dalian medical university,China	metabolism,atrophy
LUIS JAÑEZ	UNIVERSIDAD COMPLUTENSE DE MADRID	machine learning, predictive models, SVC, DNN, Alzheimer's disease,
Jae-Won Jang	Kangwon National University Hospital	Mild cognitive impairment, Alzheimer’s disease, CSF biomarkers, Brain MRI, Beta
Hyemin JANG	Samsung Medical center Neurology	amyloid, tau, dementia, vascular dementia
Sung-eun Jang	Dongguk univ.	machine learning, one-shot learning
Ikbeom Jang	Massachusetts General Hospital	image quality, artifact, quality assessment
JongHyun Jang	ETRI	Mr
Rekh Ram Janghel	National Institute of Technology, Raipur	CNN, Alzheimer's Disease, Transfer Learning
Kay Jann	USC Stevens Neuroimaging and Informatics Institute	Complexity, PET, fMRI
Ali Jannati	BIDMC – Harvard Medical School	PET, rs-fcMRI, lesion network mapping
Spiro Janovic	University Hospital Zagreb	Teaching, lecturing
Pannatorn Janpitak	Kasetsart University	my research will be useful for many physician in my country.
Iris Jansen	VU University	Genetics, polygenic risk scoring, alzheimer, gwas
Olin Janssen	Maastricht University	amyloid, alzheimer, lifestyle, comorbidities, demographics
Terry Janssen	DiscoveryAid.ai	Machine Learning, Brain Scans, Alzheimers, Research, TensorFlow, AWS
Vaibhav Janve	Vanderbilt University Medical center (VUMC)	florbetapir, PiB, resilience, Alzheimer's disease
Daniel Jarquin	Universidad Autónoma de Ciudad Juárez	Deep learning, image reconstruction
Ravi Jasuja	FPT LLC	hormone, alzheimer's, machine learning
Mojib Javadi	Indoc Research/OCBN	data structure, data sharing, data visualization
Mohammadali Javanray	McGill University	Alzheimer Brain Biomarker
Reza Javidi	Janssen R&D	computation, data analysis
Monica Javidnia	University of Rochester	imaging, parkinson's, alzheimer's, dementia
Pawankumar Jawale	VIT Vellore	MRI, ML, Classification, Alzhemier's
Suman Jayadev	University of Washington	organoid, transcriptomic
Kharne Jean	University of Georgia	APOE e4 functional independence white matter integrity
Angela Jefferson	Boston University	Cognitive Performance, Aging
Clark Jeffries	University of North Carolina at Chapel Hill	novel regression method, permutation tests
Bruce Jenkins	Massachusetts General Hospital	MCI, AD, iron, age, sex
Lisanne Jenkins	Northwestern	cortical thickness, neuropsychiatric symptoms
Bjørn Jensen	University of Glasgow	machine learning, neural networks, diagnosis, robustness
Young Jin Jeong	Dong-A University Hospital	MCI, FDG-PET, White matter
Jonghun Jeong	Deepnoid	alzheimer, PET, deep-learning
Seung Yeon Jeong	KONYANG UNIVERSITY	deep-learnig, Graduation thesis
Yong Jeong	KAIST	fMRI, Resting State, DMN connectivity
Arul Elvis Jesudoss	BITS, Pilani	MRI scan, Support Vector Machine, Discrete Wavelet Transform, PCA
Karan Jeswani	Indian Institute of Science	Deep Learning, Generative Adversarial Network
Alok Jha	Capgemini	Re-inforcement learning
Debesh JHa	UiT - The Arctic University of Norway	Alzheimer's disease
Chuncheng Ji	Boston University	Imaging
Jiadong Ji	Shandong University of Finance and Economics	Differential network analysis, Brain functional connection
Peng Ji	Fudan university	Cascading, Networks
Bochao Jia	Eli Lilly and Company	RNN, predict longitudinal data
Yongming Jia	China Pharmaceutical University	Biomarkers
qiaolan jia	Central South University	use deep learning to study Alzheimer's disease and other diseases
Xiuqin Jia	Beijing Chaoyang Hospital, Capital Medical University	cognitive impairment, PD, AD， MCI, functional and structural iomarkers,
Ziyan Jia	Beijing Tiantan Hospital	insulin resistance
Mengge Jia	Beijing Normal University	brain
Enyue Jia	Orzar	Alzheimer’s Disease