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
Srinivasan A	CSIR-CMERI	Alzheimer's Disease
shyna A	TKM	ASL,CBF
Thushara A	TKM College of Engineering	AD,MCI,Brain graph, rsfmri,DTI,Tractography
a a	a	a
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
Jac Fredo A.R	Nanyang Technological University	Sparse inverse covarience
nima aalizade	RS	Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Mohammad Hadi Aarabi	Tehran University of Medical Sciences	Diffusion MRI
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
walid abbassi	esprim	4MG69
Ali Abbaszade	Mashhad University of Medical Sciences	statistical models; machine learning; data mining;prediction; classification
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
fatma ABDEDAYEM	NATIONAL SCHOOL Of ENGINEERING OF SFAX, Tunisia	fmri, segmentation, classification, blod signal
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
Osama Abdullah	NYU Abu Dhabi	Freesurfer, DTI
Lookman Abdullah	Universiti Teknologi Malaysia	Computational Intelligence, Structural MRI, Neuro Imaging
Mohammed A M Abdullah	Ninevah University	fMRI, machine learning, AD, classification
ahemd abdullah	arab acdemic for enginnering	AD ,HYBRID CLASSIFICATION
Suhad Abdulzahra	UMP	MRI, fMRI, PET, alzheimer's disease, MCI
Dilbar Abdurakhimova	Minnesota Sate Univ. Mankato	MDMR
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
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
Anees Abrol	The Mind Research Network	Multimodal, AD, MCI, Progression
John Absher	University of South Carolina Greenville	TBI exosome AD morphometry
Mohamed Abu Sheha	University of South Florida	Dementia, Machine Learning, Statistical Modeling.
ami abutbul	Technion	medical images, clinical data, deep learning
Francisco Javier Acevedo	University of Alcala	PET, MRI, CSF biomarkers
Maria Ram Achary	University of Mumbai	Alzhemeirs parkinsons hungtions and ALS
ramakrishnan Achary	University of Mumbai	Deep learning , Alzheimer's
Sarah Ackley	University of California San Francisco	amyloid-PET, cognition, prediction
Noriaki Adachi	MSD. K.K. (Japan Branch of Merck)	threshold
Hieab Adams	Erasmus MC University Medical Center	Neurodegeneration, high-dimensional data, brain imaging, genetics
Kendra Adams	Duke University	Metabolomics, Skyline, Software, Data Processing
Bertrand Adanve	Genetic Intelligence, Inc	Whole genome sequence, Artificial intelligence, Computational analysis
Stanislaw Adaszewski	F. Hoffmann - La Roche AG	imaging, genetics
Viraj Adduru	Rochester Institute of Technology	atrophy, CT, MRI,
Tameem Adel	University of Amsterdam	MRI Classification, Unsupervised Feature Learning.
jayanth adithya	Anna university	Alzheimers detection ,MRI analysis
Katy Adler	Bar Ilan University	brain fc sc
Vera Afreixo	University of Aveiro	Data Analysis; statistics
SEPIDEH AFSHAR	1984	Brain dynamics
Babak Afshin-Pour	BioSymetrics Inc	Biomarker, data fusion, Alzheimer
Seemal Afza	Lahore College for Women University	Alzheimers, deep learning, neural networks, MRI, FMRI, PET images, SPECT images
Iman Aganj	Massachusetts General Hospital / Harvard Medical School	Brain connectivity
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
Tanay Agarwal	Vellore Institute of Technology	GAN
Aakanksha Agarwal	University of Ottawa	machine learning capsule networks mri datasets classification convolutional cnn
Ajay Agarwal	DIT University	Alzheimer's Disease, Progression
Kunal Aggarwal	Amity University	Machine Learning, AD, MCI
Daniel Agostinho	Universidade de Coimbra	AD, Machine Learning
Isha Agrawal	Netaji Subhas Institute of Technology	Neural Networks, sMRI, fMRI, MCI, AD, Alzheimers
Vismay Agrawal	Indian Institute of Technology Madras	Medical Image Analysis
TARUN AGRAWAL	NIT HAMIRPUR	DNN, Medical Image
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
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
Wahab Ahmad	COMSATS UNIVERSITY ISLAMABAD(SAHIWAL CAMPUS)	Alzheimer's Diagnosis
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
Zeba Ahmad	Rice University	multimodal deep learning, GRU
Amirhossein Ahmadi	Ferdowsi University of Mashhad	Investigating Focal Connectivity Deficits in Alzheimer’s Disease
Fatemeh Ahmadi	Amirkabir University	Ricci Flow, Teichmuller space, metric
Kourosh Ahmadi	Computing and Engineering	Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net
Seyed Emad Ahmadi	Yale School of Medicine	brain segmentation, convolutional neural networks, machine learning
Hessam Ahmadi	Islamic Azad University, Science and Research Branch	fMRI, Non linear, graph theory, functional connectivity
Maryam Ahmadzade	Simon Fraser University	MCI, Machine learning, AD, Progression, Prediction
soheil Ahmadzadeh	Tehran University of Medical Science	Alzheimer,machine learning
Rahman Ahmed	Indiana University	Cortical Thickness, blow flow, cognitive decline, CASL, model
Tahera Ahmed	Bond University	Alzheimer's, Early Detection, Prediction
Mughis Ahmed	UOG	Multiple sclerosis
Samsuddin Ahmed	BUBT	Deep learning, AD
Shanewas Ahmed	Brac University	AD, MCI, Alzheimer, OCT, Fundus, predict Alzheimer.
Khandakar Tanvir Ahmed	University of Central Florida	mutation, MRI image, Alzheimer
Hala Ahmed	Faculty of computer science	Bio informatics
Kamran Ahmed	Daffodil International University	AD detection
Juweiriya Ahmed	Western University	Psychosis, AD
Rahman Ahmed	Indiana University	Imaging, CASL, functional decline, blood flow, cortical thickness
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
Bharati Ainapure	Maharashtra Academy of Engineering Education and Research-MIT College of Engg.	Neuro Imaging,Alzheimer Disease,Machine Learning,Deep Learning,Research.
David Airey	Eli Lilly and Company	NfL hippocampus biomarker
Paul Aisen	University of Southern California	data sharing methods
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
abrar akas	Jordan university of science and technology	`PARKINSON
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
Alex Aklson	IBM Canada	Deep Learning, Classification, Alzheimer's Disease, Older Adults
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
Mina Akrami	Bahonar	MRI images
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
Yasmina Al Khalil	Eindhoven University of Technology	MRI segmentation, deep learning for medical imaging
Hasan Al Marzouqi	Khalifa University of Science and Technology	deep learning, residual networks, constitutional networks, SNPs
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
basad Al-sarray	univ of baghdad	RPCA, Low rank
Aws AL-ZARQAWEE	Universiti Malaysia Pahang	CNN,Softmax
Sahar Alaa	Higher Technological Institute in 10th of Ramadan City in Egypt	Page \| 6 Executive summary As a part of academic requirement and completion of
FADHL ALAKWAA	MICHIGAN UNIVERSITY	drug discovery , drug repurposing
John Alam	EIP Pharma	Episodic Memory, Longitudinal Change
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
Teresa María Alarcos Tamayo	WstartupC	ML, AI, Alzheimer
Raed Alazaidah	Universiti Utara Malaysia	Longitudinal data
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,
Thomas Alderson	Ulster University	thalamo-cortical modelling DTI
Irene Aleixandre Soriano	1997	alzheimer, project, software
Bomin Alex	Shandong University	fMRI, dynamic functional connectivy
Ahmed ALGendy	HTI	CT,MIR,Alzheimer
nawaf alharbi	university of southern california	deep learning , cnn, rnn
Lea Alhilali	Barrow Neurological Institute	Diffusion tensor imaging
Mohd Hanafi Ali	The University of Sydney	Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
Samr Ali	Concordia University	machine learning, hidden markov models
Haider ali	university of gujrat	fmri
Sanam Ali	Sunnybrook Research Institute	rsfMRI; preprocessing optimization
shirin alimoradian	Islamic Azad Science and Research university	arsh
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
Ayhan Alkan	Cortexify BV (in establishment process)	NIA-AA 2018 framework
ZAID ALKHALEDI	UNIVERSITY OF KENTUCKY	MDR; Model Selection; Continuous Phenotype; Ordered Combinatorial Partitioning
ALHASAN ALKHATIB	Sakarya University	MCI, Alzheimer, Image Processing, Machine learning
Shanmukh Alle	IIIT Hyderabad	Machine Learning, Disease diagnosis
HANANE ALLIOUI	Cadi Ayyad University	alzheimer, brain , MRI, dicom
Ina Almdahl	Oslo University Hospital	Cerebrospinal fluid Amyloid Depression
Hannes Almgren	Ghent University	Effective connectivity, structural connectivity, cognition
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
Saif Aldeen AlRyalat	University of Jordan	Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Duaa alSaeed	king saud university	CNN, Alzheimer, classification, medical imaging, image processing
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
Lujain AlTamimi	University of Minnesota	AD Cause
Andre Altmann	University Collage London	Imaging Genetics, Next Generation Sequencing
Daniele Altomare	University of Geneva	biomarkers, Alzheimer, neuroimaging
Michael Alummoottil	University of Cape Town	classifier, GAN, data augmentation, Biomedical engineering
David Alvarez	Asturias Central Hospital	segmentation, hippocampus, deep learning, alzheimer
Jennifer Alvén	Chalmers University of Technology	Spatial normalization, deep learning, tau PET imaging
Miguel Amador	Tecnico Lisboa	Alzheimer, Biomarker, Connectome
Yahyah Aman	University of Oslo	Alzheimer’s disease, mitophagy, biomarkers
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
Ala Amini	Duke University	MRI training examples
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
ana ana	CIIT	dataset
Krishna Anand	XPRIZE Foundation	Alzheimers
Vikas Kumar Anand	Indian Institute of Technology Madras	Medical Image Analysis, Deep Learning, Radiogenomics, Radiomics
Raj Anantharaman	University of Missouri Kansas City	Deep learning, CNN, Classification
Gholamreza Anbarjafari	University of Tartu	Alzheimer disease, statistical analysis, deep learning, super resolution
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
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
John Ang	AI Singapore	Deep learning, feature level irregulariries
Elsa Angelini	Imperial College London	imaging, genomic, disease classification, longitudinal follow-up,
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
Ananthalakshmi Annappa Pushpalatha	College of Staten Island- CUNY	Machine learning prediction AD MCI life expectancy
Shahab Ansari	GIKI	automatic brain segmentation, Alzheimer's disease, machine learning
FAIZAH ANSARI	MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA	RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION
Lin Anshi	Shanghai Maritime University	alzheimer's disease
Luigi Antelmi	INRIA	joint analysis; biomerkers
Augusto Antunes	MINER.IA	AI, Machine Learning, Inflammation, AD
Nmachi Anumba	Georgia Institute of Technology	Alzheimer's disease, MR imaging, classifier
Mazin Aouf	Western Sydney University	Medical Research Datasets
Li Yew Aow Yong	Universiti Teknologi Malaysia	classification
Chatchawit Aporntewan	Chulalongkorn University	Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova	IU	AD biomarekrs
Dace Apsvalka	Medical Reseach Council	Hippocampus
Ghazal Arabidarrehdor	1994	Machine Learning, Alzheimer's, Dementia
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;
Kareem Areed	Mansoura University	Healthcare
Emilia Arens	University Osnabrück	Classification
Eleni Aretouli	University of Deusto	intraindividual variability
Konstantinos Arfanakis	Illinois Institute of Technology	mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker
Konstantinos Arfanakis	Illinois Institute of Technology	diffusion, DTI, registration
nouha arfaoui	University	MCI
Ali Ozgur Argunsah	University of Zurich	AD detection, convolutional neural networks
Christos Argyros	Imperial College London	Machine Learning, Predictions
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
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
omri Armstrong	Tel Aviv University	Domain Adaptation
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
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
Shiva Aryal	Institute of Medicine, Tribhuvan University Teaching Hospital	Medical doctor, researcher
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
Tahir Ashad	harbin institute of technology	image processing,image analysis
Miriam Ashford	NCIRE	Clinical
Wes Ashford	Stanford	leptin, Alzheimer, blood, dementia
Al ashir	Dhaka International University	Brain anomaly
rakhi ashok	IGNOU	ML
Naba Ashraf	GCUF	ASD
Azhaar Ashraf	Imperial College London	Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Abida Ashraf	GG post Graduate Collage No.1Abbotabad	Alzheimer
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
Per Aslaksen	University of Tromsø	Alzheimer, freesurfer, tDCS
Eric Aslakson	Poiema, LLC	adni transmart
amara aslam	university of gujrat	Parkinson disease
Farrah Aslam	University of Wah	Alzheimer disease prediction
amara aslam	university of gujrat	fmri
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
Ava Assadi	macquarie university	deep learning
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
MIRUNA FLORENTINA ATES	MALTEPE UNIVERSITY	brain volumetry, Alzheimer disease, analyse, cognition
Selamawet Workalemahu Atnafu	university of Bologna	Neurological disorder, Machine Learning, Alzheimer
Christy Au-Yeung	Sunnybrook	Cognition, ASL, fMRI
Gaelle Aubertin-Kirch	MIAC-AG	standardization, automatic process, software evaluation
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
Andrea Avena-Koenigsberger	Indiana University	diffusion models, network dynamics
Luciano Ávila	FACIT	alzheimer pet-scan
Pedro Alejandro Avila Plaza	Universidad Piloto de Colombia	alzheimer
Daniel Felipe Avilán Caldas	Universidad Nacional de Colombia	DTI
Hifza Awan	University of Gujrat	123
Shivangi Awasthi	Merck & Co.	Alzheimer's, biomarkers
Ibrahim Awinle	Crescent University, abeokuta	White Matter, White Matter Lesion, T2*W, T2, FLAIR, T1
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
Yesim AYDIN SON	Middle East technical University	Data mining, Hybrid Methods, SVM-ID3
Umme Aysha	University of Regina	Research
Murathan Aytekin	Istanbul University	CNN Classifier AD
Scott Ayton	University of Melbourne	CSF amyloid b, tau, heart rate, blood pressure
ASLI AYTULUN	HACETTEPE UNİVERSİTY SCHOOL OF MEDİCİNE	NPT, dementia
Ebru Ayyurek	Namık kemal university	neuroscience
Harry Azadbakht	TMU University	Alzheimer Disease, Prediction, Regression
Cristian Azamar García	Universidad Autónoma Metropolitana	Alzheimer, Characterizing, database.
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
Ahmadreza Azizi	VirginiaTech	Adversarial attack
Mohd Hafrizal Azmi	Universiti Putra Malaysia	AD Classification
MIR AZRA	NIT Srinagar	DEEP NEURAL NETWORK, ACCURACY TEST
darnisa azzahra	Universitas UPN Jakarta	Alzheimer's image dataset
Rudhra B	IIITMK	PARKINSON
jawahar b	kongu engineering college	dataset
shwetha B	sjce	Alzheimers, MRI, Wavelets, SVM
Divya B	Stigmata techno solutions LLP	alzhiemer,ML
Athira B	TKMCE	Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise
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)
Farzaneh Babashahi	ESFAHAN UNIVERSITY OF TECHNOLOGY	MRI
alexandra badea	Duke CIVM	mri, imaging, analysis
AmanPreet Badhwar	CRIUGM, University of Montreal	neuroimaging, genetics
Lea Baecker	King's College London	machine learning, MRI
Steven Baete	NYU School of Medicine	Orientation Distribution Function analysis, Diffusion MRI
elnaz bagheri	tehran university	deep network+ alzheimer diseaes
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
Safa Bahri	University of Valenciennes	Classification, Deep Learning
weiling bai	Inner Mongolia University	123123
Paul Baiju	AERO	AI
Abhijith Bailur	SJCE Mysore	MRI
Paul Baird	Centre for Eye Research Australia, University of Melbourne	AMD, genome wide, interaction
Utkarsh Bairolia	IIT ISM DHANBAD	Instance based mapping, Multiple kernel learning
Zhang Baiwen	Beijing University of Technology	AD, MCI convert
Pradeep Bajracharya	RIT	MRI; Brain; Artifact
Susan Baker	Janssen R&D	Diagonsis, Progression, Biomarkers
Mudathir Bakhit	Fukushima Medical University	DLPFC, tractography, connectome
Naman Bakhru	IIT Kharagpur	Hidden Markov Model, Bayesian networks
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
Andrea Balado	qubiotech	PET, MRI, quantification
Priya Balasubramanian	Cornell University	Iron, dementia, QSM
Erica Balboni	University-Hospital Company of Modena	Hippocampal Segmentation Deep Learning
Luis Balderas Ruiz	University of Granada	Classification, Parkinson, MRI, Machine Learning
Marcos Balle	Universidad Politécnica de Madrid	T1, DTI, MCI, AD
Oluwaseun Adebayo Bamodu	Taipei Medical University - Shuang Ho Hospital	Proteome, Genome, Parkinson's Disease, Motor disorder, Cerebrum
parthi ban	VIT university	mri, alzheimers , CNN
Dipankar Bandyopadhyay	Virginia Commonwealth University	DTI, tensor regression, spatial methods
Seojin Bang	Carnegie Mellon University	longitudinal; multimodal; clustering; machine learning
Ji-In Bang	CHA Hospital	neuroimaging
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;
Sadeq Bani Melhem	Concordia University	treating the sick brain via electrical stimulation
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
SANCHIT BANSAL	the university of hong kong	-
Deepika Bansal	The NorthCap University Gurugram	Machine Learning, Deep Learning, MRI Image
Rashmi Banthia	Harvard	Machine Learning Deep Learning
Jaume Banus Cobo	INRIA	Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid
xu baohong	Hebei University of Technology	fMRI AD deep learning
Jed Barash	Soldiers' Home	Hippocampus, opioids, Alzheimer's
ali barati	tums	rs-fmri
Eduardo Barbará	Universidad Autónoma Metropolitana (UAM)	image processing data analize
Philip Barber	University of Calgary	stroke; TIA; brain atrophy; dementia
Robert Barber	University of North Texas Health Science Center	Alzheimer's disease genetics
Justin Barber	University of Kentucky	neuropsych testing, education, amyloid, wmh
Lorenzo Barberis Canonico	Clemson University	machine learning
Javier Barbero	Universidad de Córdoba	Machine Learning, Volumetric imaging, Metaheuristics
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
Flavia Roberta Barbosa de Araujo	Federal University of Pernambuco	Machine Learning, Alzheimer, GWAS, Tools, SNPs
Steven Barger	University of Arkansas for Medical Sciences	amyloid, PIB, florbetapir, prescription, drug
IOANNIS BARGIOTAS	ENS CACHAN	Control, Alzheimer,PET images
Sezin Barın	Erciyes University	sznbrn287
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
Sandra Barral	Columbia University	GWAS plasma beta amyloid
Megan Barrell	Cardiff University	dMRI, pipeline
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
Suryakanth Basavaraj	BMSITM	MRI,PET
Abol Basher	Chosun University	Alzheimer
Usman Bashir	St Barts Hosptal	CNN
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
Wietske Bastiaansen	Erasmus University Medical Center Rotterdam	MEDICCS summer school
Arindam Basu	University of Canterbury	Alzheimer's Disease, TBI, Polygenic risk scores
Debraj Basu	University of California Davis	life style, AD, diversity
Anirban Basu	University of Washington, Seattle	dementia progression, prediction, distributional statistics
Rikin Basu	Vellore Institute of Technology , India	deep learning , image processing , Alzheimer’s, diagnostics
Layal Bata	Occidental College	Alzheimer's, shape analysis, machine learning
Vishant Bata	Indian Institute of Technology,(BHU), Varanasi-India	PET Scans, Early Detection, 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
Armin Bayati	University of Victoria	Cognitive disorder, microscopic, macroscopic, diagnostic, vasculature
Peter Bayley	VA Palo Alto Health Care System,	CYP191A, hippocampus, apoe4, neuropsychology
Omid Bazgir	Genentech	Feature extraction and feature learning
Tariq Bdair	TUM	Deep learning, Semi supervised learning
Derek Beaton	Baycrest	partial least squares, multivariate, genetics
Helen Beaumont	University of Manchester	diffusion DOC atlas
Lino Becerra	Invicro	asl, cbf
Sergio Becerra	Neurological Associates of West Los Angeles	fMR, Resting, BOLD, Anatomical, ASL, DTI
Laurel Beckett	UC Davis	Biostatistics
Joanne Beer	University of Pennsylvania Perelman School of Medicine	imaging, multi-scanner
Mirza Faisal Beg	Simon Fraser University	MR, LDDMM, segmentation, registration, statistical shape analysis
Iman Beheshti	CERVO Research Center, Mental Health University Institute of Quebec	estimation, brain age, MRI
Qumars Behfar	Cologne University hospital	Connectome
Hamid Behjat	Lund University	shape analysis, topological similarity, classification, early diagnosis
Jordan Behn	Northwestern University	PPA
Tina Behrouzi	University of Toronto	GSP for brain mapping
Christopher Beitel	University of California, San Francisco	Machine 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.
David Belinsky	Stony Brook University	Computer Vision, GAN
Andrew Bell	University of Richmond	dementia
Maura Bellio	University College London	graphic user interface; MRI; disease progression models; neurodegenerative
Tamara Belostotska	University of Hildesheim	Machine Learning, Deep Learning, Convolutional LSTM
Luis Beltran-Parrazal	Universidad Veracruzana	SVM-REF
Olfa Ben Ahmed	UNiversity of Poitiers	Deep learning, medical imaging
Mostefa Ben naceur	University Paris Est	Convolutional neural Networks (CNN), data generation, tumor segmentation, nerati
maissa ben soussia	UNC	PET
Andrew Bender	Michigan State University	diffusion MRI, machine learning, latent factors,
Thomas Bengtsson	UC-Berkeley	Amyloid PET
Andreana Benitez	Medical University of South Carolina	MoCA, Item Response Theory
Neal Bennett	Gladstone Institutes	metabolism
Bini Mariyam Benny	Rajagiri School Of Engineering And Technology ,Kakkanad	adni
Jacob Benoit	Medical College of Wisconsin	AD
Takis Benos	University of Pittsburgh	graphical models, machine learning, systems biology
David Benrimoh	McGill University	Psychosis, schizophrenia, structural networks
Mariana Bento	university of calgary	machine learning, image features, dementia
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
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
Jose Alfonso Bernal Moyano	Universitat de Girona	longitudinal changes, atrophy, convolutional neural networks
Brandon Bernardo	Chapman University	Data Management, Disease, Genetics
Adam Bernstein	University of Arizona	Thalamus, Deep Learning
Olivia Bernstein	University of California, Irvine	prediction, biased sample, clinical trials
Stuart Berr	University of Virginia	PET
David Berron	Lund University	MTL, hippocampus, structure, preclinical AD, amyloid PET
Laiss Bertola	Universidade Federal de Minas Gerais	Genetics, using ADNI data as a teaching example, Friday Harbor
Maxime Bertoux	Inserm	Alzheimer, ATN
Maxime Bertrait	Siemens Healthineers	Morphometry
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
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
PRITI BHAGAT	KONERU LAKSHMAIAH EDUCATION FOUNDATION VADDESWARAM.	EEG, SVM,aLZHEIMER'S
Nikita Bhanot	National institute of technology, Jalandhar (INDIA)	alzhiemer, neural network, machine learning
Vinay Bhapkar	New York University	Computer vision research
Pradyumna Bharadwaj	The University of Arizona	MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID
Kripanshu Bhargava	Brain Cradle AI	Deep Learning, Alzeimer Disease
Harsh Bhasin	Jawahar Lal Nehru University	MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
BHUVANESHWARI BHASKARAN	The University of Memphis	Machine learning, classification, neuroimaging
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
Ridhanshi Bhatia	Amity School of Engineering and Technology	AD, Neurology, CNN
Priya Bhatt	Oregon Health and Science University	gwas, alzheimer's disease, statistics
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
Sudeepa Bhattacharyya	Arkansas State University	metabolomics, neuroimaging
Satyabrat Bhol	IIT Chicago	Alzheimers
Manish S Bhoopalam	National Institute of Technology,Surathkal, Karnataka	Generative Adversarial Network, CNN, FCN
SAJAN BHOSALE	SANJAY GHODAWAT UNIVERSITY	Alzheimer's Dataset
Alauddin Bhuiyan	NYU School of Medicine	Machine learning, MRI, Socio-demographic parameters, Alzheimer's
Xin Bi	Northeastern University	brain network, fMRI, Alzheimer's Disease
Qiuhui Bi	Beijing Normal University	DTI,metabolism,aging
Xiaohong Bi	University of Texas Health Science Center at Houston	computational phenotyping
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
Junyu Bian	UM-SJTU Joint Institute	W@icyoshrup9
SHIJIA BIAN	BIOGEN	alzheimer's; statistical analysis
xuesheng bian	Xiamen University	Medical Image
Ayesha Bibi	University of Gujrat	Alzheimer's disease
Wajiha Bibi	Aston University	biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement
Amen Bidani	IDeTiC	Alzheimer's, Machine Learning
Kelsey Biddle Biddle	Brigham & Women's Hospital	cognitive decline, marital status, amyloid-beta, preclinical AD
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
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
Marie-Abele Bind	HARVARD UNIVERSITY	Statistics
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
Gérard Bischof	University Hopsital Cologne	Alzheimer's disease, resting state, fMRI
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
Ashis Kumer Biswas	University of Colorado Denver	Machine learning; deep learning; hybrid convolution neural network; image marker
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
James Blair	University of Virginia	Cognitive Impairment, Structure, T1
Joshua Blake	LMU University Munich	Alzheimer Prediction, Alzheimer Detection
Sergio Blanco Trejo	University of Seville	Algebraic topology
Emma Bluemke	University of Oxford	healthy ageing, neural networks
Jenna Blujus	UWM	Alzheimer's disease
Dominik Blum	University Hospital Tuebingen	Parkinson, Cognition, FDG, denoising
Jan Krzysztof Blusztajn	Boston University School of Medicine	CSF, plasma, biomarkers
Andrew Boateng-Poku	University of Miami	Cognition, aging, brain, memory
Michael Boedigheimer	Amgen	NFL
Susan Boehnke	Queen's University	CSF biomarkers, lumbar puncture
Ronald Boellaard	University Medical Center Groningen	Image methodology, quantification, processing, classification
Craig Bohrson	Harvard Medical School	clonal hematopoiesis, Alzheimer’s disease, Dementia
Arun Bokde	Trinity College Dublin	MRI, grey matter, volumetric, hippocampus
Sideny Bolden	Bethune Cookman University	AD, MRI, SVM, Machine learning, diagnosis, neuroimaging biomarkers,
Andrea Bolivar Matos	Massachusetts Institute of Technology (SSO)	predictive, onset, alzheimers disease
Ranvit Bommineni	University of Illinois, Urbana Champaign	GAN MRI PET image translation
Borna Bonakdarpour	Northwestern University	Resting state fMRI, language network
Luke Bonham	UCSF	FDG PET, MRI, Neural Network
Luke Bonham	Johns Hopkins	Alzheimer's disease, hydrocephalus, ventricular volumes
Andrea Bonilla	UC Berkeley	research project
Ester Bonmati	University College London	coursework;matlab;
Brian Booth	University of Antwerp	MRI atlases, image registration, metric learning
Parinita Bora	MSRUAS	machine learning
Miguel German Borda Borda	Stavanger University Hospital	cognitive testing, computerized cognitive testing, Alzheimer´s disease, MCI
arezoo borji	amirkabiruniversity	alzheimer-diagnosis-prediction
Léonie Borne	University of Newcastle	Anatomy, structural MRI, cortical sulci, machine learning
arman boroun	mums	fmri
Alexandre Bortoli	Stanford	Tau ; prions ; AD
Christian Boschenriedter	Heinrich-Heine-Universität Düsseldorf	Parkinson's disease, machine learning
Aditya Bose	Manipal University Jaipur	GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data
Anirban Bose	Chennai Mathematical Institute	Topological Data Analysis
Zoran Bosnić	University of Ljubljana	Alzheimer; data mining; computer science; decision support
Nicholas Bott	University of California San Francisco	cognitive aging; structural imaging; inflammation
Rachid Bouamrane	Université des Sciences et de la Technologie d'Oran	large complex systems, feature extraction, very large networks
Johémie Boucher	Université de Montréal	neuropsychology of aging; alzheimer's disease; clinical research
Reguieg Bouchra	istanbul technical university	brain network
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
abdelmajid bousselhalm	ENSET	MRI, dti
souha bousselmi	faculty of sciences of tunis	irm, recognition, sobell filter ,
thebti Boutheina	Monastir	neuro imagerie, alzheimer disease, multiple sclerosis
Emily Bove	Cogstate	Cogstate
Hamidreza Boveiri	Shiraz University of Technology	medical image registration; deep neural networks
Daniel Bowgett	Northumbria University	joint models, improved discrimination, biomarkers
Mark Bowren	University of Iowa	lesion method, neuropsychology, structural equation modeling
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
Larissa Braga	West Virginia University	Safety, adherence
Joana Braga Pereira	Karolinska Institute	CSF, MRI
Lodewijk Brand	Colorado School of Mines	haploview, plink
Jose Bras	UCL, Institute of Neurology	Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie	USC	inflammation
Jana Bratanić	Faculty of science Split	alzheimer desease
Noa Bregman	Tel Aviv Medical Center	verbal fluency
Michael Brehler	Medical College of Wisconsin	Radiomics, PET, MRI
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
Alex Harrison Brody	Yale University	Pyk2, florbetapir-PET, CSF amyloid beta, CSF tau
Caroline Broichhagen	Institute of Medical Biometry and Statistics	Deep Learning, Neuroimaging, Classification, Cognitive Science, Machine Learning
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
Francesco Brovelli	University of Milan-Bicocca	conversion, MRI, amyloid PET, MMSE
Matthew Brown	University of Alberta	machine learning, diagnosis, prognosis, biomarkers
Sam Brown	University of Exeter	DTI, dementia
Robert Brown	McGill University	Brain extraction; Deep learning
Chiara Brück	ErasmusMC	Microsimulation modelling; Public health; Dementia; Epidemiology
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
Andrea Brzeczkowski	University of Wisconsin - Madison	pharmacokinetic, imaging
Antoni Brzoska	Neurogazer	validation, machine learning
Rakshitha BS	christ faculty of engineering	Machine Learning , Deep Learning, Classification
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
MAGDA BUCHOLC	University of Ulster	dementia; Alzheimer’s disease; cognitive impairment; clinical decision support
Bradley Buchsbaum	Baycrest Centre for Geriatric Care	fMRI PET correlation
Maciej Buciński	University of Adam Mickiewicz	Neuroimaging, Deep Learning, Data Science, Machine Learning
Hudson Buck	Santa Casa de Sao Paulo School of Medical Sciences	Alzheimer, diabetes, hypertension, chronic diseases
Katharina Buck	Roche Diagnostics	Elecsys CSF Measurements
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
Duc Toan Bui	Sungkyunkwan University	GAN
Minh Bui	Thuy Loi University	Minh Bui
Duc Toan Bui	Sungkyunkwan University	synthetic image, cycleGAN
Sayed Ali Raza Shah Bukhari	Jamil ur Rahman Ceter for Genome Research	Mitochondrial Genomes, Alzheimers
Fahad Bukhari	Karachi Institute of Economics and Technology	Help the Alzheimer's patient
Santi Bullich	Life Molecular Imaging GmbH	florbetaben SUVR cutoff
Saurabh Bundela	Jabalpur University	Deep Learning, Image Analysis, Genetic and Proteomics biomakers
Braydon Burgess	Genentech	AD Discovery
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
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
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
Markus Butz-Ostendorf	Biomax Informatics	Big Data, semantic data integration, multimodal brain imaging, AD
Punith BV	Siemens Healthineers India	brain segmentation
Samantha By	Hyperfine	segmentation
Gihwan Byeon	Seoul National University Hospital	Alzheimer, neurodegeneration, homocysteine
Seul Kee Byeon	Mayo Clinic	machine learning analysis
Jiyoung Byun	KAIST	Alzheimer's disease
Michał Błotko	Silesian University of Technology	MRI, Alzheimer, Data Science
Sreelakshmi C	htic	Deep learning
C C	c	c
Nagarathna C R	Dsatm	Mri, pet scan, eeg
BLESSY C SIMON	RAJAGIRI SCHOOL OF ENGINEERING AND TECHNOLOGY	ALZHEIRMER'S, DEEP LEARNING
Ricardo Alonso Caballero Luna	Universidad de Monterrey	MCI, AD, CONVERSION
Emilio Cabañero	Universidad Autonoma de Madrid	degree project
Ryan Cabeen	USC LONI	tools
Monia Cabinio	IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente	AD, HC, structural MRI, functional MRI
YULIANA CABRERA	ATRI	EDC
Ylermi Cabrera-León	Universidad de Las Palmas de Gran Canaria	Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
Shaun Cade	University of South Australia	P75 neurotrophin receptor, p75 ectodomain, ELISA analysis.
Fanco Cai	College of Computer Science and Technology,	longitudinal datasets, learning manifold trajectories
Xiaoying Cai	First affiliated hospital of SUN YAT-Sen university	mild cognitive impairment, surgery, Alzheimer's Disease
Shangyu Cai	Szu University	AD FMRI
Jiahui Cai	stu	AD
erik cai	wenzhou university	multimodal neuroimaging
Chunting Cai	Xiamen Univeersity	cct724724
Hailin Cai	Chongqing University	AD,
Ismael Calandri	FUNDACION PARA LA LUCHA CONTRA LAS ENFERMEDADES NEUROLOGICAS DE LA INFANCIA (FLE	Subtle Cognitive Impairment Biomarkers Predictors
Ryan Cali	UMass Medical School	Alzheimers, Machine Learning, Neuroscience
Maria Eugenia Caligiuri	Università degli Studi Magna Graecia di Catanzaro	DTI, morphometry, AD, MCI
Brandy Callahan	University of Calgary	diagnosis, neuropsychology, dementia, mci, norms
Frederic Calon	Universite Laval	Alzheimer
Jacob Calvert	Dascena	machine learning, preidction, disease progression
Noelia Calvo	Universidad Nacional de Córdoba	cognitive reserve bilingualism aging
Eduardo Camacho	UPV	Artificial Intelligence, lesion segmentation
Aldo Camargo	University of Liège	Perfusion MRI, cognition changes
David Campbell	University of Auckland	epidemiological student project
Alex Campbell	University of Cambridge	deep learning, machine learning, fmri, diagnosis, unsupervised
Jacques-Yves CAMPION	Aix-Marseille University	machine learning, classify, alzheimer disease, fdg-pet, mri, discordance index
Kylie Campion	University of Wisconsin-Madison	Tau and beta
Hande Can	New York University Medical School	Seasonal plasticity, biomarkers, Alzheimer disease,
Juan Sebastian Cañas Silva	Universidad Nacional de Colombia	Tractography
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
Jose L. Cantero	Pablo de Olavide University	sleep2019
Guanqun Cao	Auburn University	functional data, ADNI
Jiguo Cao	Simon Fraser University	brain network, QTL mapping
Qi Cao	Rensselaer Polytechnic Institute	Dynamical Systems， Time Serious
Bing Cao	university of north carolina at chapel hill	medical image synthesis
Bo Cao	University of Texas Health Science Center at Houston	Machine learning
Shuman Cao	Xuan Wu Hospital, Capital Medical University	54_Feliz
Yan Cao	University of Texas at Dallas	image analysis
yingli cao	Jiangnan University	study
Lingcan Cao	Xi'an Jiaotong University	brain network dynamics, default mode network
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
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
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
Luis Cartagena	USP	Body, electrical, sensor
Greg Carter	The Jackson Laboratory	epistasis, pleiotropy, genetic association
Emily Carvajal	Universidad del Valle	preprocessing, standarization
Sofia Carvalho	Universidade do Minho	neuroimaging, mri, alzheimer, prediction
Vítor Carvalho	IF SUDESTE MG	MRI Image, Machine-learning, Alzheimer's Disease
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
Silvia Cascianelli	University of Perugia	Deep Learning, PET, Alzheimer's Disease multiclass diagnosis
David Cash	University College London	familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Julian Caspers	University Hospital Düsseldorf	resting-state fMRI, machine-learning, classification
Isabella Castiglioni	National Reserach Council	AD, MCI, image classification, diagnosis, MRI, PET
Jose Maria Castillo-Secilla	University of Córdoba	AD, Alzheimer, Deep Learning, GPU
Eduardo Castro	IBM Research	longitudinal, Alzheimer's disease, multimodal, multivariate, predictive
Mac Gayver Castro	University Center Christus	Alzheimer disease, imaging, algorithms
JUAN ANTONIO CASTRO SILVA	UNIVERSIDAD DE SALAMANCA	medical image analysis, alzheimer's disease
Kim Cates	Seton Hall University	Alzheimer's, neural networks, MRI, machine learning
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
Bernardo Cecchetto	Universidade Federal de Ciências da Saúde de Porto Alegre	h9cd5ber
Vanessa Ceja	University of California, Riverside	Scan quality analysis, Clinical MRI, Computational Neuroscience
Marina Célestine	MIRCen - CEA	Lesion and cognitive analysis, multimodal study
Gaffari ÇELİK	Ağrı İbrahim Çeçen Universitesi	Alzheimer’s Disease, Deep Learning
Jade Centeno Amandio	PUCRS	research
William Ceriale	University of Washington	Machine Learning, Neural Network, Alzheimers
Stefano Cerri	DTU	segmentation atrophy
Ricardo Cerri	Federal University of Sao Carlos	machine learning, SNPs, Alzheimer Disease
Tess Cersonsky	Brown University	AD Risk, Machine Learning, Predictive Modeling
Alper Çevik	Middle East Technical University	Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Miriam Cha	Harvard University	MRI; Change detection
Yoonjeong Cha	Immuneering	target identification, pathology, survival analysis, pathway analysis
Satish Chada	Pulmonary Services of North Texas	Machine Learning, Artificial Intelligence, MCI, AD, COPD
Tanvi Chadaga	RVCE	brain tumour
Pavan Chaggr	University of Oxford	Alzhiemer's, morphology, degeneration
Yaqiong Chai	CHLA	deep learning reconstruction
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
Elaine Wan Ling Chan	International Medical University	SVM classifier for the determination of progressive deterioration of AD
Eldon Chan	University of California, Berkeley	Deep Learning, Alzheimer's Recognition and Prediction
sic chan	FDA	PET, MRI, CSF biomarkers
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
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
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
Benson Chang	National Chiao Tung University	Alzheimer's,MRI,CNN
ROST CHANG	Qingdao University	Alzheimer disease biomarker
QU chang	Hebei University of Technology	Dysfunction and stemness of tumor-infiltrating T cells are triggered by a common
RUI CHANG	University of Arizona	Alzheimer's, Sex difference
Changgee Chang	University of Pennsylvania	integrative analysis, multi-task learning
Hui-Ming Chang	Chung Shan Medical University	VBM/AD
Minyu Chang	Cornell University	Fuzzy-trace theory; factor analysis
Wan Jou CHANG	British Columbia Institute of Technology	Machine learning, kNN, classification, features engineering
Ya-Hsuan Chang	University of Kentucky	Data analysis
Jose Chang Irias	Halmstad University	Convolutional nueral networks, Lewy body dementia, dementia detection
huang changzeng	Wuhan university	hcz19960301
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
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
Ankita Chatterjee	UC Berkeley	gyrification index
Abhinaba Chatterjee	Weill Cornell Medical College	Deep learning
Subarna Chatterjee	Ramaiah University of Applied Sciences	MRI, fMRI, PET, Genome dataset
Soumick Chatterjee	Otto von Guericke University Magdeburg	Deep Learning
Ann Chau	HKU	ASL and amyloid
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
Diana Chavez	University	Spanish-English Bilinguals, Alzheimer DIsease
Yanqiu Che	Penn State College of Medicine	MRI; Alzheimer's Disease; Machine Learning
Tongtong Che	Shandong Normal University	group-wise registration
Gal Chechik	Bar-Ilan University	Deep learning
Lovena Chedumbarum Pillay	University of Oxford	Machine Learning, Alzheimer's Disease, MRI, PET
Lovena Chedumbarum Pillay	University of Oxford	MCI, AD, Predictive Analytics, Amyloid
Christel Chehoud	Janssen	Deep Learning
Andrew Chen	University of Pennsylvania	penalized, CCA, CIA, integrative analysis
Chang Chen	Nanjing Drum Tower Hospital, Medical School of Nanjing University	neurologist
Li Chen	University of Washington	Image processing
Yu-Chi Chen	Monash University	cortical morphology, machine learning
Ting-Huei Chen	Laval University	structural equation modeling
Jinxin Chen	Chengdu University of TCM	alzheimer，sleep disorders，fMRI
Beichen Chen	Royal Institute of Technology	machine learning
Dong Chen	Southeast University	cdx314159
Qianyun Chen	The Chinese University of Hong Kong	deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Junjie Chen	Temple University	computational methods, integrative analysis, casual factors
XIAO CHEN	复旦大学	Medical Image Analysis
Rong Chen	University of Maryland School of Medicine	machine learning
Irene Chen	MIT	machine learning, subtypes, disease progression
Fang Chen	jackson state university	image deep learning Alzheimer's
Ming-Hui Chen	University of Connecticut	Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Sherry Chen	The University of Sydney	Frontotemporal dementia, longitudinal, neural correlates, cognition
Shuo Chen	National Innovation Institute of Defense Technology	deep learing, super resolution, medical imaging
Xin Chen	University of Nottingham	Longitudinal image feature extraction; disease diagnosis.
Tianhua Chen	University of Huddersfield	fuzzy systems, convolutional neural network, clinical decision support
Jun Chen	University of Michgan	data fusion
liangming chen	Lanzhou University	neural network, deep learning, Alzheimer
bin chen	University of Houston	deep learning,predict
Xi Chen	New York University School of Medicine/Medical Center (SSO)	Alzheimer APOE progression
Chao Chen	Stony Brook University	Image analysis, deep learning.
Xin Chen	Shanghai East hospital, Tongji University, School of Medicine	Neurodegeneration, Alzheimer，cognitive impairment
Xu Chen	SAS Inc	Machine Learning
Meng Chen	Southeast University	early diagnosis
Jason Chen	University of California, Los Angeles	Network analysis, TBM, personalized medicine
Xiaocong Chen	The University of New South Wales	Early Detection, Machine Learning
Liang Chen	University of Macau	miRNA, biomarker
jiaao chen	Queen's University	research
yan chen	DLU	ADNI
Mayun Chen	The First Affiliated Hospital of Wenzhou Medical University	Smoking; Verbal memory; Hippocampal volume; Glucose metabolism; β-amyloid; Tau.
Xiao Chen	Amy Medical University, Daping Hospital	Amyloid PET, Alzheimer’s dementia, Amyloid staging
William Chen	MagQu LLC	Longitudinal study, differentiate diagnosis, neurodegenerative diseases
Yanxi Chen	Arizona State University	GWAS
sijie chen	Yitu healthcare technology	AD, classification, CNN
Keyu Chen	Liaoning Normal University	Resting state; dynamic; fMRI; Classification
Kevin Chen	Stanford University	multimodal imaging, image post-processing, spatial resolution
Gang Chen	Medical College of Wisconsin	fMRI, MRI
Ziliu Chen	Guangzhou University of Chinese Medicine	Aizheimer
yun chen	mcgill university	images segmentation
Lihui Chen	Sichuan University	Academic study
Keping Chen	Southeast University	AD； circular RNA
GUILIAN CHEN	SHENZHEN UNIVERSITY	unsupervised segmentation
Tao Chen	Wuhan University	Alzheimer’s Disease, visual features, MRI
wuyang chen	Central South University	multimodal,registration
Qiufeng Chen	Fujian Agriculture and Forestry University/China	functional connectivity
Xiang Chen	University of Leeds	Image Registration, Deep learning
Shirui Chen	University of Wisconsin, Madison	geodesic shooting, image registration
Li Chen	Indiana University School of Medicine	GWAS, functional analysis, meta-analysis
Bingxu Chen	UCSD	Image Co-registration
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis
Li chen	national university of defense and technology	8722471
Ian Chen	UTS	MRI analysis; CNN; Alzheimer’s Disease; Disease Degression modeling
Chang-Le Chen	National Taiwan University College of Medicine	Diffusion MRI, White matter, Fiber cross-section
Yuhang Chen	University of Science and Technology of China	littlebear888
Zihao Chen	Shanghai Jiao Tong University	MCI AD predicting model
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis, algorithm
shuomei chen	Anhui Jianzhu University	deep learning
qiang chen	Donghua University	segmentation
Hao Chen	Shandong University of Finance and Economics	Brain Network Analysis, Alzheimer's disease, Classification
Xiaozheng Chen	Xiamen University	neuroimaging, dynamic functional connectivity, deep learning,
Haifeng Chen	Affiliated Drum Tower Hospital, Nanjing University Medical School	memorry function; rTMS; multimodal neuroimaging
Yu-An Chen	National Yang-Ming University	Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Tianyi Chen	University of Sheffield	cj18954310106
yulong chen	zhengzhou university	MRI hippo subfeild segmentation
Sophie Chen	Beijing University of Technology	fMRI classification
Guan Wen Chen	NTHU	Alzheimer
Jiu Chen	Nanjing Medical University	AD, aMCI, DTI, sMRI, fMRI
jiayu Chen	ETHz	visual feature attribution; MRI, AD
Chen Chen	Arizona State University	graph mining
Zhi Chen	University of Electronic Science and Technology of China	computer vision, neuroimaging recognition, classification
Jingyun Chen	NYU School of Medicine	PET, Tau, Abeta, normalization
Bo Chen	Fudan University	Graph theory, mental illness
anqi chen	Hangzhou Dianzi University	learning
Dingfan Chen	max planck institute for informatics	Anomaly detection, deep generative model
Yu Chen	Central South University	Do some researches about the AD
huachang chen	Vanderbilt University Medical Center	imputation; methodology; evaluation; bioinformatics
LI-HO CHEN	NYMU	leochen012121
Xu Chen	University of North Carolina	MRI segmentation
feiyan chen	zju	MR fMRI AI
Dongxuan Chen	Southeast University	brain,classifier
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
BINJIE CHENG	Hunan Normal University	Brain，Stroke
CongCong CHENG	Zheng Zhou University	watermarking
Shih-Chun Cheng	Chang Gung Memorial Hospital	Deep learning
Wai Ho CHENG	The Hong Kong Polytechnic University	AD and mild cognitive impairment
Shih-Chun Cheng	Chang Gung Memorial Hospital	Deep learning
Ruida Cheng	NIH	brain segmentation and classification
YYUAN CHENG	JILIN UNIVERCITY	DATASET
Chenganen Chenganen	GuangDongBaiYun University	ADNI; FCN; GAN; predict
Tanya Chenhall	Cogstate	Cogstate
chenpeng chenpeng	The First Affiliated Hospital of Guangxi Medical University	ASL,fMRI,Cognitive impairment
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
Aparna Chhibber	Merck Research Labs	biomarker genetic
Jingyi Chi	University of Pennsylvania	Deep Learning, GAN, MRI
Gloria Chiang	UCSF	DTI
Agostino Chiaravalloti	University Tor Vergata	Alzheimer; functional imaging; PET
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
Patrizia Chiesa	ICM	rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Andreina Chietera	Thales	Research; DeepLearning, Alzhaimer, Dementia
deng chijun	University of Electronic Science and Technology of China	fmri
Junichi Chikazoe	National Institute for Physiological Sciences	fmri
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,
eric ching	shenzhen university	deep learning, AD classification
Konstantinos Chiotis	Karolinska Institutet	AD, MCI, PIB, FDG, AV-45
Bernard Chiu	City University of Hong Kong	MRI-based cognitive biomarker
HyungJin Cho	University of Southern California	Alzheimer's Disease Neuroimaging Initiative (ADNI)
SangYeon Cho	Medical school, Chungnam national university	DEMENTIA
Youngjoo Cho	The University of Texas at El Paso	Survival analysis, Prediction models
Dong Ho Cho	Korea Advanced Institute of Science and Technology (KAIST)	Machine Learning, Biomarker, Classification, Diagnostic
Young Min Choe	Dongtan Sacred Heart Hospital	Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
Eun Kyung Choe	Seoul National University Hospital	adni7677
Mark Choe	NCIRE	Imaging, Processing
Junsik CHOI	Korea Univ.	Deep learning
Woo Hee Choi	College of Medicine, The Catholic University of Korea	striatum, amyloid PET, tau PET
Eun Young Choi	Stanford University	thalamus, rsfMRI
Yong-Ho Choi	hanyang university	Imaging genetics
Yoon Seong Choi	Severance Hospital, Yonsei University College of Medicine	Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
Yu Yong Choi	Chosun University Hospital	ethnic differences, normal aging
duck ho choi	Sung Kyun Kwan Univ.	Alzheimer
hyujin choi	korea university	hyunjin
Seo-Eun Choi	University of Washington	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Kyu Sung Choi	Korea Advanced Institute of Science and Technology (KAIST)	follow-up
James Choi	Sabio Research	Alzheimer Machine Learning Neural Networks
Hongyoon Choi	Cheonansi Public Health Center	Metabolic network, FDG, Amyloid
Anthipa Chokesuwattanaskul	King Chulalongkorn Memorial Hospital	Alzheimer's disease, mild cognitive impairment
chee keong chong	University Teknologi Petronas	CNN, deep learning, classification,
gabriel chong	National Taiwan University	image processing
Ilya Chorny	Vivid Genomics	Polygenic Risk Score
Jill Chotiyanonta	AnatomyWorks, LLC	Brain MRI, Neuroanatomy, Segmentation
Harsh Choubey	Galgotias University	Detection of alzheimer's disease, MR Images, Brain
Amit Choudhari	Tata Memorial Hospital	dti
Ankur Choudhary	ASET, Amity University Uttar Pradesh	Alzheimer
Ramesh Choudhary	vimeet	ADNI
Tabina Choudhury	Texas A&M University	Alzheimer’s disease, brain, biomarkers, cognition, dementia, item response theor
Vincent Chouraki	Institut Pasteur de Lille	GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
dharmesh chourasiya	local	constitutional neural network , machine learning
Ioanna Chouvarda	VTT	network analysis, causality
Heiman Chow	HKUST	Glucose, AD, Risk
TAPAN CHOWDHURY	Techno India	disease
Samadrita Chowdhury	University of Massachusetts,Lowell	Graphs, CNN, PET, FMRI
Lucille Chrétien	ENS de Lyon	diabetes
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
Yancy Chu	Nanjing Tech University	qwer1234
Chu Yang Chu	China Jiliang University	Research, learning
Russ Chua	Institute for Infocomm Research	computer vision
michelle chua	Melbourne Heath	alzheimers
jayrajsinh chudasama	Birla Vishvakarma Mahavidyalaya	dataset mri image with label
Evgeny Chumin	Indiana University-Bloomington	connectivity, tau, graph theory.
Timothy Chun	Veteran's Affairs	Machine Learning
Chang Chun Yang	National Cheng Kung University	Amyloid PET
Chang Chun Yang	National Cheng Kung University	Alzheimer , Amyloid PET
Yunro Chung	Arizona State University	Biostatistics; biomarker
Ming-Hua Chung	Radiologics	resting state fMRI DICOM
Hyun Jy Chung	Stony Brook University	FWER
se-yeon chung	chosun university	Alzheimer
Jaeyoon Chung	Boston University School of Medicine	GWAS CSVD stroke ICH
shi chunlei	Beijing Normal University	Machine Learing,Hidden information
jiang chunyu	NEU	jcyypbed627!
Andrea Ciarmiello	Medicina Nucleare - S. Andrea Hospital	Mci trajectory, Deep learning, onset prediction
Filippo Cieri	Cleveland Clinic	resting state; entropy; mci; cognitive reserve.
Ignacio CIfre	URL	fRMI, dFC, FC
Emilio Cipriano	IRCCS Fondazione Stella Maris	Camiceriamary
Rastko Ciric	Stanford University	quality control, CNN
Tod Clapp	Colorado State University	UCHealth IRB
David Clark	Indiana University	Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency
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
Alba Clemente	Univarsity of Zaragoza	bioinformatics, computer vision
TAMEKA CLEMONS	GEORGIA STATE UNIVERSITY	amylin, uncoupling proteins, insulin-degrading enzyme
Albert Clèrigues	Universitat de Girona	atrophy, pbvc
Oliver Cliff	University of Sydney	Information theory, information dynamics, alzheimer's disease
David Clunie	PixelMed Publishing and RadPharm, Inc	DICOM compression
Daniel Clymer	Carnegie Mellon University	Deep Learning, Medical Imaging, MRI
Bernard Cobbinah	University of Electronics Science and Technology of China	Convolutional Neural Networks
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
Brett Cohen	King's College London	MCI, MRI, phantom
Carl Cohen	SUNY Downstate Medical Center	Alzheimer's disease; cognition, course trajectory
liz cohen	Tel-Aviv university	GAN
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
Ragnor Comerford	University of Edinburgh	deep learning; machine learning; Alzheimers Disease; Mild Cognitive Impairment
Robert Comley	Abbvie inc	PET, MRI
Zhen Cong	Dalian University of Technology	Image Translation
Shan Cong	Purdue University	hippocampus, AD, MCI
Lin Cong	University of California, Riverside	longitudinal analysis
yin congfeng	Tsinghua University	experiment, deep learning models
Andrew Conklin	Origent Data Sciences	Machine Learning, Classification and Regression Modeling
Emily Connelly	UCSF	drug repositioning, APOE
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
Shanna Cooper	VA San Diego / UC San Diego	NPI, family history
Shanna Cooper	UCSD	tau, NPS, cognition
Michael Coopman	University of Texas at Arlington	Medical image registration, Image segmentation, Voxelmorph, Deep learning
Aldo Cordova Palomera	Takeda	Neuroimaging, Genetics, Neurodegeneration
fabian Corlier	University of Southern California	systemic inflammation, covariance structure analysis, brain structural integrity
Rodolfo Correia	University of Sao Paulo	late life depression, mild cognitive impairment
Nicole Corso	Stanford University	default mode networks, networks, imaging
Ana Sofia Costa	University Hospital RWTH Aachen	amyloid deposition, microangiopathy, microbleeds, phenotype, progression
Gabriele Costante	University of Perugia	RNN AD PET
Victor Costumero	Universitat de València	mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard	CNS-Fed	Neuropsychology, Aging, Eye movements, Vision
David Coughlin	University of Pennsylvania	AV1451, Dementia with Lewy Bodies, Alzheimer's Disease
Pierrick Coupé	LaBRI UMR 5800	hippocampus
Elizabeth Couser	University of Maryland, Baltimore	imaging, Alzheimer's
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
Mackenize Cox	UNCW	mri, alzheimers, machine learning
Kevin Coyle	Florida State Univeristy	Machine Learning Biomarker Nueral Network Early Identification Infomation.
Breanna Crane	Vanderbilt University	Atrophy, Connectivity, MCI
Byron Creese	King's College London	polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
alessandro cremaschini	Sapienza university of rome	drug effetcs longitudinal panel data
Carlos Crespo	Methinks Software	Deep learning
Ivor Cribben	University of Alberta	Networks; Longitudinal networks; Resting state
Alessandro Crimi	University of Zurich	radiogenomics
Carlos Cruchaga	Washington University School of Medicine	CSF, plasma, RBM, GWAS, whole-genome
Hugo Cruz-Suárez	Benemérita Universidad Autónoma de Puebla	Big Data, Hidden Markov Models, Stochastic optimization
Math Cuajungco	California State University Fullerton	Neuroscience
Pedro Cuenca	Universidad Rey Juan Carlos	alzheimer, nlp, speech analysis, deep learning, transfer learning, cross-domain
Licong Cui	The University of Texas Health Science Center at Houston	Informatics tool, ontology, hypothesis generation
JIANAN CUI	Massachusetts General Hospital	medical image processing
Jiarong Cui	Renmin University of China	variable screening procedure
Jing Cui	Centre hospitalier universitaire vaudois	The Human Brain Project
Dong cui	1978	cd_ggh100200
Dong Cui	Chinese Academy of Medical Sciences & Peking Union Medical College	Brain Network Hippocampus
kunpeng cui	ZhengzhouUnivercity	medical image registration
Menglong Cui	Yunnan University	medical images，diagnostic documents
Nicholas Cullen	University of Pennsylvania	NFL, CSF
Irene Cumplido Mayoral	BarcelonaBeta Brain Research Center	amyloid, machine learning, prediction, classification
Antônio Guilherme Cunha de Almeida	Universidade Federal de Sergipe (UFS)	artificial intelligence, MRI, semantic segmentation
Charles Cunningham	University of Toronto	13C lactate ANLS
Miroslava Cuperlovic-Culf	National Research Council, Canada	machine learning; feature selection; genome scale model;
Sean Curtin	IAM	Alzheimers vs. Healthy Brain Research
David Curtis	UCL	sequence variant DNA
Scott Curtis	Newcastle University	Machine Learning, Deep Learning, Undergraduate, Dissertation, Research
Renjith CV	JSPM RSCOE	deep learning
W CW	Chang'an University	Image Processing Technology
Max Cynader	University of British Columbia	Alzheimer's Disease, machine learning, cognitive impairment risk
Lucette Cysique	The University of New South Wales	PET network analyses
ty d	Shanghai Maritime University	fMRI
Surya D	NITC	brain connectivity, Kuramoto model, EEG, DTI
Arlene D'costa	None	Prediction,Accuracy,Deep Learning,Optimization
Arthur da Silva Neumann	Universidade Federal do Rio de Janeiro	biomarkers, plasma, CSF
Leandro da Silva Sauer	Universidade Federal da Paraíba	cerebrovascular disease; cardiovascular disease; MCI; Alzheimer
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
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
Xiongtao Dai	Iowa State University	Functional data, longitudinal data, manifold data
Zhengjia Dai	Sun Yat-sen University	Alzheimer's disease; functional connectivity; model
Heng Dai	Shenzhen Institutes of Advanced Technology	methylation, illumina microarray, AD pathway
Chengliang Dai	Imperial College London	Deep learning, Structural MRI
Shuang DAI	The University of Manchester	Classification, AD
baiyun dai	china	AD，risk factors
Peng Dai	Ryerson University	deep learning, LSTM, explainable AI
Zhengjia Dai	Sun Yat-sen University	Alzheimer's disease; functional connectivity; structural connectivity
jiyulei dai	university of warwick	AD, CNN, modelling, classification
Shaopeng Dai	ICT	AD, diagnosis, machine learning
Ryo Dairiki	Eisai Co., Ltd.	MCI-to-AD-conversion
Mohammed Dakna	University medical center Gö	statistical analysis
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
Justin Dalrymple	University of Ottawa	Alzhiemers, Cognitively Normal, CNN
RODRIGO DALVIT	UNIVERSITY OF WESTERN ONTARIO	MACHINE LEARNING, IMAGE PROCESSING
Pablo Damasceno	UCSF	neurodegeneration; brain atrophy; neuropathology
stefano damiani	The Royal Hospital	Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Jessica Damoiseaux	Wayne State University	functional connectivity, hippocampus, cognition
David Dan	Laif	MRI, AI
Sarthak Dandriyal	Graphic Era deemed to be University	Machine Learning, Alzheimer's disease dia
Giacomo Daneri Tuesta	Universidad de Lima	Machine Learning, Alzheimer, Prediction, Computer Vision
Christa Dang	University of Melbourne	cognition, MRI, APOE, longitudinal, biomarkers
Tien Dang	Chonnam National University	PET scan image, segmentation
Ebenezer Daniel	City of Hope	MRI
Dominic Danks	University College London	SuStaIn disease progression modelling subtype stage inference neurodegenerative
Christian Dansereau	Perceiv Research, Inc.	Biomarker, progressors prediction, cognitive decline
Hákon Dansson	Chalmers University of Technology	AI, Machine learning, β-amyloid, plaques
Rayees Dar	Islamic University of Science and Technology	CNN, Deep Learning, Artificial Intelligence, Medical Imaging
GOWHAR DAR	LOVELY PROFESSIONAL UNIVERSITY PUNJAB	CNN,DEEP LEARNING,AUTOMATED
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
eashita das	Dr. Eashita Das	data mining, analysis
Ayantika Das	HTIC,IITM	Classification of brain MRI
Sandhitsu Das	University of Pennsylvania	hippocampus MCI
Dulumani Das	Gauhati University	Image Processing . segmentation. MRI.
Aishee Dasgupta	Chennai mathematical Institute	TDA
Ashkan Dashtban	University College London	Brain Imaging, Cognitive Impairment
Rohan Datta	Army Institute of Technology	deep learning, fMRI, CNN
Jérôme Dauvillier	SIB - Swiss Institute of Bioinformatics	Epistasis
Deana Davalos	Colorado State University	TBI, biomarkers, dementia, pathological aging
Christos Davatzikos	University of Pennsylvania	classification, MCI, conversion to AD
Amy Davila	Imperial College London	python machine learning
Cintia Davila Rodriguez	Illinois Institute of Technology	deep learning classification
Andrew Davis	University of Bath	clinical progression
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
Arlene Dcosta	None	Prediction ,Alzheimers , Deep learning
Arijit De	Jadavpur University	classification; prediction; alzheimer's
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
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
Selene De Sutter	Vrije Universiteit Brussel	MCI, AD, Deep Learning
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
oussama debabeche	biskra universty	mri alzheimer
Charles DeCarli	University of California at Davis	MRI, cerebrovascular disease
Summer Decker	University of South Florida Morsani College of Medicine	morphometrics
Brittany DeFeis	University of Florida	MCI, intervention, functional outcomes, clinical outcomes
Ana Defendini	University of Pennsylvania	Imaging
samuella degbey	Altran	image processing brain pathology
Dante Degl'Innocenti	Datamantix	AD, MCI
PRIYANUJ DEHINGIA	ASSAM ENGINEERING COLLEGE	Alzheimer's, Deep Learning
NILAM DEKA	ASSAM ENGINEERING COLLEGE	ALZHEIMERS DATASET
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
zeynep demir	University of California San Francisco	ADNI
Beatrice Demiray	Technical University Munich, Germany	Deep Learning; Neural Networks; Detection; Segmentation; Multi-Modal
ZhengZheng Deng	Shanghai Brain Science and Brain-Inspired Intellegence	data-mining, big data, Alzheimer's disease
Shiling Deng	Chongqing University of Posts and Telecommunications	undergraduate thesis, academic usage
Yutong Deng	ShenZhen University	ASL;MRI
Simin Deng	Tungwah Hospital of Sun Yat-Sen University	Subjective cognitive decline
lingling deng	CSU	AD
ANNAN DENG	East China Normal University	Classification; elastic net; functional logistic regression; Haar wavelets; PCA;
Rezwan Derakshan	urmia university	data mining
Thomas DeRamus	GSU TReNDs Center	Brainhack
Natan Derek	Southern Taiwan University of Science and Technology	FMRI, DEEP LEARNING
Dakota Derry	University of Florida	Telomere length; cognitive function
Amit Desai	Mayo Clinic	Dementia, atrophy, cinematic rendering
pranav desai	scet	machine learning
Hemal Desai	St. Xaviers	Alzheimer
Juhi Desai	In-Med Prognostics	Segmentation
Vijayalakshmi Desai	Dayananda Sagar Academy of technology and Management	Alzheim disease, Capsule networks, Artificial neural networks, Convolution layer
Hemal Desai	St. Xaviers College	Deep Learning
Shekha Desai	Vishwakarma Government engineering college	Early detection of AD, ML approach for AD diagnosis
Heather Desaire	University of Kansas	MCI, AD, healthy control, classification
Marie Deserno	University of Amsterdam	autism, neurodegenerative disorders
Yash Deshmukh	University Of Keele	research proposal only
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
Viswanath Devanarayan	Abbott Labs	biomarkers, disease prognosis, disease progression, multivariate analysis
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
Devendra Dhami	Indiana University	Alzheimer,MRI,prediction
Shravan Dhar	UVCE	Alzheimer
Moyez Dharsee	Ontario Cancer Biomarker Network	integration, analysis
eric dhillon	univ of toronto	MRI volumetric analysis regional cortical white matter
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
Cristina Di Primio	Scuola Normale Superiore	MCI, AD, biomarkers
Maria de Fátima Dias	University of Coimbra	Ageing, Deep Learning, Regression
Mauricio Diaz	Inria	AD, Deep Learning
Valeria Diaz	University of Palermo	Alzheimer's Disease, Cognitive Impairment
ali diba	KU Leuven	deep neural net, CNN, classification
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
Ellen Dicks	VU University Medical Center	brain connectivity, cognitive decline, graph theory, single subject
Sandeep Vara Sankar Diddi	GITAM (Deemed to be university)	Segmentation, Alzheimer's disease
Kersten Diers	German Center for Neurodegenerative Diseases	quality control; statistical modeling
Louis Dieumegarde	IUSMQ	Database
Ibai Diez	Massachusetts General Hospital	AD, fmri, DTI, PET
Yago Diez Donoso	Yamagata University	image registration, research
HIMA DILEEP	COLLEGE OF ENGINEERING KARUNAGAPPALLY	ALZHEIMER'S DISEASE
Andrew DiLernia	University of Minnesota	clustering, functional connectivity
Georgios Marios Dimakidis	Ionian University	Bioinformatics, Data Analytics, AD
Changchang Ding	Shanghai University	PET;FMRI
Yuan Ding	New York University	For Course Project
wenxiang ding	Shanghai Jiaotong university	Alzheimers Disease, image analysis
Xuemei Ding	Ulster University	Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Xiuhua Ding	University of Kentucky	group based trajecotry model , dementia, sleep apnea
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
Tyler Diorio	Purdue University	white matter hyperintensity, periventricular, stress
Tiphaine Diot	Ecole de Technologie Superieure	Course project, CNN
sai smruthi diwakar	SASTRA UNIVERSITY	Final year project on prediction of alzheimer's
Iwona Dobler	Takeda Pharmaceuticals International Co.	biomarker
Vitaly Dobromyslin	University of Massachussetts, Lowell	gene expression, neuroimaging
Shubham Dodia	National Institute of Technology Karnataka	Alzheimer, BCI, EEG, Machine learning, Deep learning
Alessandra Dodich	University of Geneva	18F-flortaucipir, positivity, tau deposition
Jusheb Doe	Daffodil International University	Subject-818
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
Berk Dogan	ETH Zurich	deep learning, latent space analysis
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
James Donaghue	California Polytechnic	artificial neural network
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
YIWEN DONG	UCSF	building database
Pei Dong	University of North Carolina at Chapel Hill	imaging biomarkers, groupwise image registration, efficient computation
jaejune Dong	Yonsei University	prediction, neurodegenerative disease,
zhu dongming	云南大学	machine learning, prediction of AD
Anita Donnelly	Ulster university	Machine Learning, Data Modelling
Michael Donohue	Keck School of Medicine of USC	ADCS
Cristian Donos	University of Bucharest	mri, nonlinear registrarion, deep learning
Nandika Donthi	UC Berkeley	neural nets, identification
elahe dorani	Institute for Advanced Studies in Basic Sciences (IASBS)	Probabilistic models, Bayesian inference, Alzheimer's disease, ADNI dataset
Jonadab Dos Santos Silva	Universidade Federal Fluminense	amyloid angiopathy, subcortical nuclei, dementia
Ayush Doshi	University of Virginia	Spherical deconvolution, 3-tissue extraction, Deep learning
Ray Dou	Nankai Hospital	study mri
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
Andrew Doyle	McGill University	deep learning
Senan Doyle	Pixyl	PET, MRI, AI, Deep Learning
Nicolas Doyon	Laval University	Aging, clustering algorithms
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
Andrew Drozdov	University of Massachusetts Amherst	alzheimer's
Jason Druzgal	University of Virginia	Basal forebrain; cognitive impairment; VBM
mingyu du	Beihang University	912811450
Lei Du	Northwestern Polytechnical University	Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Chao Du	National Key laboratory of Cognitive Neuroscience and Learning, Beijing Normal U	Cognition
Yuhui Du	The Mind Research Network; Shanxi University	Biomarkers, Classification, Clustering
Qianqian Du	Taiyuan University of Technology	pet image reconstruction
Jiao Du	Guangzhou univerisity	fusion
Yuhang DU	He Bei University	fmri
Guangwei Du	Penn State Hershey Medical Center	TBM, neurodegenerative disease pattern
Weiyu Du	University of Pennsylvania	sparse principal component analysis
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
Maya Duffy	University of South Carolina	Project, Statistics
Ben Duffy	USC	QC
Brittany Dugger	UC-Davis	Neuropathology, Heterogeneity, concomitant pathology
Juergen Dukart	Hoffmann-La Roche	PET MRI biomarkers diagnostic models
carlos Dulanto	universidad cesar vallejo	neural nerwork
Maciej Dulewicz	Medical University of Białystok, Poland	AD
Mihai Dumitrescu	University Politehnica of Bucharest	Homework
Matthieu Dumont	Imeka	DWI DTI HARDI Tracking
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
Matthew Dunlop-Gray	The MITRE Corporation	Brainprint, MITRE,
Tom Dupree	Springboard	Machine learning, data analysis, predictive classification model
Baskar Duraisamy	Hindusthan College of Engineering and Technology	Deep Learning
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
Shamita Dutta gupta	Pace U	Ordinal logit model, general linear model
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
Jennifer Eastman	Northwestern University	MCI
Mark Ebbert	Mayo Clinic	Challenging regions
Amir Ebrahimighahnavieh	University of Newcastle	Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Ignacio Echegoyen	Centre for Biomedical Technology	Complexity, Networks, MCI
Roderic Eckenhoff	University of Pennsylvania	PET Tau, PET amyloid, surgery, biomarkers
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
Leslie Egbo	UCSF	ADNI 3 RA access
Marco Egle	University of Cambridge	Small vessel disease Diffusion tensor imaging clinical trials
Graham Eglit	San Diego VA	Biomarkers, Tau, CSF, PET
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
abdelali el idrissi	FST FEZ	big data, prediction
Ahmed Elabasy	Oulu university	machine learning
fanny elahi	UCSF	Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
vidhya elango	periyar university	cryptography
Ahmed Elazab	Shenzhen University	AD, biomarkers
Ghaidaa Eldeeb	faculty of engineering cairo univeristy	DTI
elfazziki elfazziki	Marrakech university, computer science department	alzheimer, diagnosis, machine learning
Ahmed ElGazzar	Academic Medical Center Amsterdam	Deep learning, Clustering, Anomaly detection, Unsupervised learning, Psychaitry
Tusneem elhassan	University of technology Malaysia (UTM)	Alzaheimer
Ahmed Elkorany	faculty of electronic engineering, menoufia university	deeplinearning; classification, MRI
Lotta Ellingsen	University of Iceland	segmentation, deep learning, brainstem, white matter hyperintensities, dementia
Natalie Ellison	Pentara Corporation	Composites Genetics
Brian Ellison	Harvard Medical School	Deep Learning
Intissar Elmajid	Ibn Zohr University	Deep learning, CAD, Multimodality, AD recognition, Segmentation
Jeremy Elman	UCSD	Pupillometry, aging, dementia
Karin Elman Shina	Tel aviv Sourasky medical center	menopause, mild cognitive impairment, MCI, ALZHEIMER DIS EASE, HORMONE REPLACEME
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
Fatemeh Emadi	university	y
Behnaz Emami	Iaun	09368934595
Eman Eman	TU Kaiserslautern	prediction, machine learning
Jurriën Embrechts	amc	machine learning
Polina Emeliyanova	The University of Manchester	White matter, grey matter
Okyaz Eminaga	Stanford University	DL, Classifcaiton
Busra Emir	Izmir Katip Celebi University	Machine Learning Algorithms
HIRONOBU ENDO	Johns Hopkins University	MRI cloud
Bradley English	Fraunhofer Institute	Early-warning
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
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
Javier Escudero	University of Edinburgh	Machine learning, Decision support, biomarkers
Simon Eskildsen	Aalborg University	cortical thickness, brain mapping, segmentation
Taban Eslami	Western Michigan University	Alzheimer's, classification, Machine Learning
Sahar Esmaeeli	Abbvie	Alzheimer, imaging, Genetics
Marzieh Esmaeili	TUMS	deep learning, GAN
Soheil Esmaeilzadeh	Stanford University	deep learning course, Stanford university, class project
Erika Espindola	Centro Universitário IESB	Data Analysis; Alzheimer; Prediction; Artificial Intelligence
Ana Espinosa	Fundació ACE	SMC and cognition
Ana Espinosa	Fundació ACE	Cognition,
Mohamed Essam	HTI	ADNI
ACHRAF ESSEMLALI	Scil Lab, Sherbrooke University	GCN, DEEP LEARNING, AD, CONNECTOME,
Mar Estarellas Garcia	University College London	Alzheimer, data-driven model, lifestyle
Kobra Etminani	halmstad university	Skull stripping ,prognosis of AD and Dementia
Choi Eunjeong	Ewha Womans University	deep learning, medical image, GAN
Guilherme Evangelista	Centro Universitario Uni BH	Utilização do aprendizado de maquina para diagnosticar, tratar e previnir o alzh
Dave Evenden	Southampton Universiry	Dementia, Disease Modelling, Healthcare Planning
Katrina Evtimova	NYU	neuroimaging analysis
Michael Ewers	LMU	amyloid, genetics
Hatim Ezbakhe	UC Berkeley	PET/MRI metric, causal factors
Peter Eze	University of Melbourne	Medical Image Steganography, MRI, Security
Ali Ezzati	Albert Einstein College of Medicine	Volumetric, MRI, Amyloid, cognitive decline
NICY F	THANGAL KUNJU COLLEGE OF ENGINEERING	Alzheimer’s disease (AD) · Mild cognitive impairment (MCI) · Feature selection ·
JISNA F	UNIVERSITY OF KERALA	Convolutional Neural Network
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
Sylvain Faisan	Icube	Image processing, pattern recognition
sherin faizal	Barathiar University	Alzheimer’s disease, Artificial Neural Network, Computer aided diagnosis, Discr
Tiago Falk	INRS	AI, multimodal, signal processing
David Falta	Harvard University	Educational Use
qingchen fan	Northwest University	brain age Alzheimer’s disease deep learning
zhihao fan	华南理工大学	Thanks
CHENCHEN FAN	Institute of Automation，Chinese Academy of Sciences	machine learning
ZHEN FAN	Imperial College London	Longitudinal amyloid tau
Yonghui Fan	Arizona State University	ADNI2-GO MRI data
Yang Fan	Peking University	AD, ASL, CBF
Peihao Fan	University of Pittsburgh	Alzheimer's Disease; Machine learning; Biomarker;
bryan fan	DICOM COMMITTE	AD MRI analysis
Yong Fan	University of Pennsylvania	Pattern recognition; Machine Learning, Multi-site data
Di Fan	USC	DTI
Yan Fang	Shanghai University of International Business and Economics	7Yiffany
Chen Fang	Florida International University	Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
Frank Fang	Eisai	Machine Learning
Yi Fang	Zhejiang University	Perivascular space
meng fanhua	Shanghai no. 5 hospital	hippocampal,VBM
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,
fayroz farouk	electronics research inistitute	APOE, multistate markov model
Danielle Farrar	University of New Mexico	MCI, fMRI, MRI, network analysis
Kurt Farrell	Icahn School of Medicine at Mount Sinai	Primary age-related tauopathy
John Farrell	Boston University Medical School	whole_genome_sequencing genetics imputation structural_variants
Michelle Farrell	Massachusetts General Hospital	amyloid, cognitive decline, preclinical AD
Lindsay Farrer	Boston University School of Medecine	gwas alzheimers meta-analysis adgc
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
Ebrahim Feghhi	University of California, Los Angeles	Machine Learning
Franklin Feingold	Stanford University	BIDS
Daniel Felsky	Centre for Addiction and Mental Health	microglia, polygenic risk, imaging, environmental modifiers
Grazia Daniela Femminella	Imperial College London	inflammation; atrophy; AD; MCI
Zhichao Feng	The Third Xiangya Hospital of Central South University	fzc2018xyyx
Jinwang Feng	Northwestern Polytechnical University	Alzheimer's disease, Feature extraction, Classification
Xinyang Feng	Columbia University	AD imaging biomarker
Junbang Feng	CQMU	821727fjb
Qingxiang Feng	Tulane University	deep learning, sparse
Lin Feng	Shaoyang University	Alzheimer’s Disease,Anatomical MRI,Classification,ROI
HONGBO FENG	First Affiliated Hospital of Dalian Medical university	aging
Brad Feng	Capital Medidcal University	Deep Learning; Alzheimer Disease
Han Feng	University of Texas Health Science Center at Houston	Brain image
gu feng	Chinese Academy of Sciences	gufeng11
Yang Feng	New York University	Alzheimer’s disease, multiclass classification, prioritized error controls
Xue Feng	University of Virginia	Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers
Lin Fengyu	drbrain	train, deep learning model
Christine Fennema-Notestine	UCSD	MRI, thickness, morphometry, shape analysis, PET
Cameron Ferguson	Cardiff University	Network Psychometrics; Complex Systems; Modelling; Neuropsychology; Neurocogniti
MIGUEL ANGEL Fernandez	University of Cadiz	PET, image, machine learning
Alberto Fernández	Universidad Complutense de Madrid, Spain	APOE4, Amyloidosis, cognitive performace
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
Clarissa Ferrari	IRCCS stituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy	AD, MCI, advanced statistical approach, machine learning
Antonio Ferraro	Università Luigi Bocconi	Neuro-Image, disease's progression prediction
Bianca Ferreira	ISEP	Alzheimer's Disease, FDG-PET, Neural Networks
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
Fabio Ferreira	University College London	Machine learning, CCA, brain imaging, dementia
Jennifer Fey (Erway)	Wake Forest University	machine learning, optimization, quasi-Newton methods
achraf feydi	National institute of applied science and technology	Machine learning , diagnose
Milan Fiala	UCLA	FDG scan, MRI, MMSE
Lucas Fidon	King's College London	medical image registration
Mark Fiecas	University of Minnesota	fMRI, connectivity, longitudinal
Manuel Fiel	IDIS	MRI. Nieman Pick
Cassidy Fiford	University College London, Institute of Neurology	white matter disease, vascular risk factors
Matteo Figini	University College London	resolution, machine learning, image quality transfer
Michal Figurski	University of Pennsylvannia	UPenn, Leslie Shaw
Massimo Filippi	San Raffaele Scientific Institute, Vita-Salute San Raffaele University	diagnosis; learning algorithm; 3D convolutions; multimodal MRI.
Laura Filippi	IRCSS San Martino Hospital	Amyloid uptake in AD
Giorgio Finesi	Sapienza	Deep Learning
Elizabeth Finger	University of Western Ontario	NPI, MRI, PET
Clara Fischer	Neurospin, CEA	brain atrophy
Florian Fischer	Universtiy Medical Center Mainz	Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Lúcio Flávio de Jesus Silva	State University of Maranhão	Alzheimer, ANN, fMRI, Deep Learing
Evan Fletcher	UC Davis	Cognitive Reserve, Psychometrics Workshop
Guadalupe Flores Islas	Instituto Politécnico Nacional	Alzheimer classification
Mateusz Florkow	UMC Utrecht	Virtual CT; Deep learning; Paired CT/MRI
Niels Focke	University of Göttingen	FDG-PET, Epilepsy
Morgan Fogarty	Massachusetts General Hospital	FreeSurfer
Nancy Foldi	Queens College - City University of New York	MTL, HIppocampus, serial position effect
Guilherme Fôlego	Universidade Estadual de Campinas	AD, ML
Dailen Folkedahl	University of New England College of Osteopathic Medicine	Detection of AD characteristics
Bernard Fongang	UT Health San Antonio	Dementia, Vascular dementia, Gene expression, MRI markers
Fabian Humberto Fonseca Aponte	Sapienza Università di Roma	Adversarial learning, auto-context model, MRI, image synthesis
Matthew Ford	University of North Carolina- Chapel Hill	network science, fMRI, machine learning, classification, stochastic process
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
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
Ernest Fraenkel	MIT	machine learning, AI
Pietro Francaviglia	University of Genoa	ArterialSpin Labeling
Linda Francis	certsmarket	Education, exam dumps, it exam.
Javier Franco Pérez	Openanalytics	FNIH Biomarkers Consortium
Fabio Frangiamore	university of Milan Bicocca	Alzheimer, CNN, deep learning
Jordan Fraser	USC	1633549291
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
Heather Frechette	University of New Hampshire	artificial neural networks, alzheimer's
Blaise Frederick	McLean Hospital/Harvard Medical School	resting state, perfusion,
André Freitas	Universidade do Minho	Neuroimaging, MRI, Brain
Jennifer French	University of Maryland	GWAS
Joshua French	University of Colorado Denver	principal components, isotropy
Leon French	Centre for Addiction and Mental Health	gene expression
Simon Frerich	Karolinska Institute	Subtyping
Yun Freudenberg-Hua	Feinstein Institute of Medical Research	AD genetics, loss-of-function variants
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
Rasha FRIJI	Ecole Nationale des Sciences de l'Informatique	Data augmentation, GAN
Lars Frings	University of Freiburg	PET; Amyloid; FDG; Medial Temporal Lobe
Giovanni Frisoni	IRCCS San Giovanni di Dio FBF - The National Center for Research and Care of Alz	ADNI EADNI
Hans-Christian Fritz	German Center for Neurodegenerative Disease	basal forebrain, functional connectivity
Holger Fröhlich	University of Bonn	progression modeling
Bernard Fromson	Birkbeck, University of London	Machine learning, Computer Vision, Medical Diagnostics
jeffson fu	Chongqing University of Posts and Telecommunications	image
Jason Fu	Guangxi University	medical image registration
Jiangpeng Fu	HuaQiao University	academic research
Zening Fu	Georgia State University	Multi-diseases biomarkers, data-fusion, dynamic brain connectivity
yu fu	lanzhou university	longitudinal brain changes; MCI;AD
Ray Fu	BIT	data analysis
Pan Fu	Taizhou First People’s Hospital	Alzheimer's disease, synaptic degeneration, clusterin
yanv fu	The Affiliated Second Hospital of Zhejiang University of Medicine	Alzheimer's disease
Motonobu Fujishima	National Center of Neurology and Psychiatry	differential diagnosis; Alzheimer's disease; FDG-PET; MRI
Tatsuya Fukuda	Chuo university	classification, functional data, longitudinal 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
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
NAGARJUNA G	NBKRIST	deep learning, Alzheimer's Disease
jayavel G	anna university	alzheimer desease
Janakasudha G	Sri Venkateswara College of Engineering	Alzheimer's Disease, Brain image analysis, machine learning and deep learning
Man Ga	IMM	4327050Ho
Geoffroy Gagliardi	Brigham and Women's Hospital	Awareness, Biomarkers
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
Elena Galea	Institute of Neuroscience, University Autonoma of Barcelona	proteomic data, CSF/plasma, astrocytic signature(s)
Charles Galea	Monash Institute of Pharmaceutical Sciences	machine learning, disease progression
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
Paul Gallins	NC State University	data integration neuroimaging genetic
Carlos Galmarini	TOPAZIUM	Artificial intelligence, deep neuronal networks
Marian Galovic	UCL	longitudinal, epilepsy, progression
Dragan Gamberger	Rudjer Boskovic Institute	data clustering, subgroup discovery, intelligent data analysis
Hong Seng Gan	Universiti Kuala Lumpur	hippocampus Segmentation, Alzheimer's Disease, Random Walks
Christina Gancayco	University of Virginia	neural network, machine learning, deep learning
Amisha Gandhi	Boston University	final project, machine learning
amir hosein gandomi	sahand university of technology	traumatic brain injury, finite element method, 3d model
Michal Gandor	Politechnika Krakowska	machine learning research
Arya Ganesan	Academies of Loudoun	Tau, Alzheimer's Disease, Segmentation
Rithvik Ganesh	Jasper High School	AD, machine learning, diagnosis
Sukruth Ganesh	Thapar Institute of Engineering and Technology	Deep learning, Big data, Feature selection
li gang	Northeasten university	AD
Mohit Gangwar	Bhabha Engineering Research Institute, Bhopal, India	Machine Learning
Reema Ganotra	YMCA University of Science and Technology	Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Xiang Gao	PKU	Alzheimers disease Machine Learning
zhengzhou gao	beihang university	gzzhv587
Yurui Gao	Vanderbilt University	functional connectivity
Lijuan Gao	Affiliated ZhongDa Hospital, Southeast University	APOE, DMN, MCI, conversion, AD
Kejiao Gao	Northeastern university of china	Transfer learning
Fuxun Gao	University of Shanghai for Science and Technology	Alzheimer’s disease; Computer-aided diagnosis
Yang Gao	Central South University	AD/GNN/Disease Analysis
zhiao gao	Guilin University of Electronic Technology	graduation design
yan gao	Xi’an Jiaotong University	multi-view classification
Linlin Gao	Ningbo University	longitudinal MRI, convolutional neural network, recurrent neural network
Yunhe Gao	Rutgers University	Segmentation CNN
Yuan Gao	University of Oxford	Yeye8330209
Xiao Gao	University of California, San Francisco	atrophy, cognition
Kun Gao	UNC-chapel hill	medical image classification, deep neural network
Yali Gao	new york university	risk factor
Xiaohong Gao	Middlesex University	multi-modal classifier, fuzzy logic
Yuyuan Gao	Guangdong General Hospital	Alzheimer’s disease; Biomarker; Blood; spinal fluid
Sara Garbarino	Universite Cote d'Azure, Inria	misfolded proteins, dynamical system models, disease progression models
Kara Garcia	Indiana University School of Medicine	surface registration, longitudinal, cortex, shrinkage, biomechanics
Miguel Garcia	Boehringer-Ingelheim	historical controls, placebo, disease modelling
Gracian Garcia	Quiron	PET; SPM; templates
Tanya Garcia	Texas A&M University	T1-weighted MRI images; Cox regression; tensor covariates
Melanie Garcia	Hypercube Institute	Neuroimaging, Data analysis, multi-site effect
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.
Gaurav Garg	University of Ulster	Modeling, EEG, fMRI, Alzheimer's, AD
Lalit Garia	BT Kumaon Institute of Technology Dwarahat	Alzheimer Disease
Monica Garibay	OHSU	connectivity, biomarkers,
Valentina Garibotto	Geneva University Hospitals	FDG PET, tau, Ab42, CSF
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
Eduardo Garza-Villarreal	Instituto Nacional de Psiquiatria	diabetes, imaging genetics, neuroimaging
Christian Gaser	University of Jena	classification
Christian Gaser	Jena University Hospital	brainage, vbm
gagasgsag gasgasgags	NIS	ML
Davide Gaudesi	University of Milano-Bicocca	MRI, EDC, upload
Vincent Gaudet	University of Waterloo	iterative algorithms, belief propagation, stochastic computing
Pramod Gaur	Ulster University, United kingdom	MRI
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
xinting ge	LONI	Neuroimage
Shufei Ge	Simon Fraser University	Associations study, Group Lasso ,spatial correlation structures
Tian Ge	Athinoula A. Martinos Center for Biomedical Imaging	neuroimaging genetics
XINTING GE	University of Southern California	AD, Image process
changrong ge	Karolinska Institutet	biomarker
stephan gebel	Fraunhofer Institute for Algorithms and Scientific Computing SCAI	Ontologies, Terminologies
Natasha Geddert	University of Manitoba	metabolism, glucose, alzheimer, PET
Hugo Geerts	In Silico Biosciences	Quantitative Systems Pharmacology
Ozan Genc	Bogazici University	Deep Learning, Convolutional Neural Network
lijun geng	Northwestern Polytechnical University	Longitudinal Prediction Deep Learning
Claudio Gentili	University of Padova	SVM, Depression, Cognitive functions
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
Anda Gershon	Neurocentria, Inc.	AD, risk factors
Neil Getty	ANL	tbi, transfer-learning, medical-image-analysis
Corey Geurink	1973	exome, Alzheimer's, risk, allele
Olivier Gevaert	Stanford University	deep learning multi-scale modeling
gül gezer	eskişehir osmangazi university	CNN
n gh	university of tehran	dti
roya gh	uni	ghj
Hadi Ghahremannezhad	New Jersey Institute of Technology	Random Forest, Alzheimer's disease
Fawaz Ghali	LJMU	deep learning
Mohamed Ghalwash	IBM Research	progression; personalized
fatemeh ghanad	PNU	ALZHEIMER DISEASE, CLASSIFICATION
Behrooz Ghane	University of Isfahan	Deep Learning
Farnaz Gharedaghi	Tabriz university	PET/ MRI super resolution
Saoussen gharsallah	ISIM Gabes	WMH, segmentation
Saoussen gharsallah	ISIM Gabes	WMH, Segmentation
Mehdi Ghasemi	iran university of science and technology	alzheimer's disease(AD)
Palash Ghosal	NIT DURGAPUR ,INDIA	Deep Learning,Machine Learning,Neurodegenerative disease
Soumya Ghose	GE Global Research	Deep learning
Debasish Ghose	University of Agder	AI
Sukanta Ghosh	Jadavpur University	Alzheimer's disease Soft Computing
Debjyoti Ghosh	Visva-Bharati University	Alzheimer
Debjyoti Ghosh	VISVA BHARATI UNIVERSITY	Alzheimer, Disease, MRI
Luca Giancardo	University of Texas Health Science Centerat Houston	machine learning, longitudinal connectomes
Neha Gianchandani	Manipal University Jaipur	Deep Learning, Alzheimer
Trung Giang	Tay Bac University	Alzheimer Disease MRI
James Giang	University of Agder	Machine learning masterthesis
Laura Gibbons	University of Washington	Genetics, using ADNI data as a teaching example, Friday Harbor
Jesse Raphael Gibbs	National Institute on Aging, NIH	genetics neurodegeneration
Gary Gibson	Weill Cornell Medical College	conversion
camila gil	U. militar	Corazones.171
Yekaterina Gilbo	University of Virginia	MRI, GAN, Computer Vision, Deep Learning
Sascha Gill	University of Calgary	Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging,
Daniel Gillen	UC Irvine	phase II, power, enrichment, tau, abeta
Peter Gillespie	University of Ulster	data science, classification, dissertation
Joseph Giorgio	University of Cambridge	Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Tania Giovannetti	Temple University	functional abilities, informant
Muhammad Girach	Nottingham Trent University	MRI, Convolutional Neural Networks, Keras, Deep Learníng
Diana Giraldo	Universidad Nacional de Colombia	Morphometric Analysis
Charul Giri	University of Agder	3D CNNs, Alzheimer's detection, Alzheimer's prediction, Computer vision
Juan D. Gispert	Fundació Pasqual Maragall	Partial Volume Correction,
Giovanni Giulietti	IRCCS Santa Lucia Foundation	magnetic resonance, DTI, Alzheimer, mild cognitive impairment
Felipe Giuste	Emory University	Neuroimaging, Machine Learning, Neuroinformatics
Helia Givian	-	0440571898
Jacob Gjerdalen	University of Victoria	DTI
Scott Gladstein	AbbVie	image analysis, machine learning, patient stratification, clinical trial design
Brad Glazier	Indiana University	Imaging, Genetics, Biomarkers
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
Krzysztof Gociewicz	Jagiellonian University	disorders of consciousness, consciousness, resting-state. dti
David Godinez	University of North Texas	Data, alzheimers
TRIPTI GOEL	National Institute of Technology, Silchar	feature extraction, classification
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
Durmus GOKCEBAY	Teias	MRI Data, Alzheimer's patients, NN
Durmus Gokcebay	Teias	MRI Data, Alzheimer's patients, NN
Danielle Goldfarb	Banner Alzheimer's Institute	sleep, ventriculomegaly
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
Isabel Gomez	Consorci Sanitari Integral	Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
Catalina Gomez	Universidad de los Andes	brain tumor segmentation,
Marc Gómez	The Bonn-Aachen International Center for Information Technology (b-it)	Deep learning; time-series; VAE;
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;
JUAN PABLO GOMEZ GONZALEZ	QUBIOTECH HEALTH INTELLIGENCE	MRI volumetry, Alzheimer's Disease
Vanessa Gomez-Verdejo	Universidad Carlos III de Madrid	machine learning, mri
Sofia Gonçalves	Instituto Superior de Engenharia do Porto	Alzheimer's disease
Enhao Gong	STANFORD UNIVERSITY	Deep Learning, Compressed Sensing
Yu Gong	Shenzhen Institutes of Advanced Technology Chinese academy of sciences	joint imaging; reconstruction; accelerated MRI; low-dose PET
Liang Gong	Chengdu Second People's Hospital	APOE gene; functional connectivity; AD; Aging
Zhaowen Gong	University of Stuttgart	3D Registration, CNN
JIAHONG GONG	Harbin Medical University	966730967
Siliang Gong	University of Pennsylvania	Pairwise screening, pathway analysis, variable selection
nanjie gong	Shanghai Research Center for Brain Science and Brain-inspired Intelligence	fMRI
Zhaowen Gong	University of Stuttgart	3D Registration, CNN
Kuang Gong	Massachusetts General Hospital	Deep learning, AD, MCI
bangming gong	shanghai university	multi-view, medical imaging
Venkateswarlu Gonuguntla	Samsung Medical Science Research Institute	graph convolution, fMRI
Cassandra Gonzalez	CU Anschutz Medical Campus	Comparative Anatomy
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
Luise Gootjes-Dreesbach	UCB	Bayesian Networks
Brian Gordon	Washington University in St. Louis	tau, amyloid, PET
Marcia Gordon	Michigan State University	senescence, CDKN2A, microglia
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
Mattias Göthlin	University of Gothenburg, Institute of Neuroscience and Physiology	Classification, prognostic accuracy, demography
Tazuko K. Goto	Tokyo Dental College	Alzheimer Disease, tooth
Assaf Gottlieb	UTHealth	AD, FTD
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
Shubham Goyal	Maharaja Agrasen Institute of Technology	Major Project
sonal goyal	NSIT, New delhi, india	MRI, Classification
Vidisha Goyal	Georgia Institute of Technology	Medical Image Processing
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
SARASWATHY GR	M S Ramaiah University of Applied Sciences	Computational, Alzheimer's disease
Vijay GR	SJCIT	alzheimer's disease, MRI, CNN, image processing
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
Costantino Grana	Università degli Studi di Modena e Reggio Emilia	computer vision, medical imaging, deep learning
Marilyn Grand'Maison	Biospective	PET, MRI, Alzheimer's, Cortical Thickness, AV45
Nicole Grant	University of Victoria	Depression Scores, Structural Scans, Atrophy, cortical differences
Mary Grant	Prisma Health System	ADNI Study
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
Martin Greaves	Domino Printing Sciences	Machine Learning
Elisabetta Grecchi	GE healthcare	AD, amyloid, prediction
Elaine Green	Plymouth University	L1 elements, retrotransposons
Clint Greene	UCSB	deep learning, machine learning, image synthesis, segmentation
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
Stuart Grieve	Heart Research Institute	data-fusion, neuroimaging, concussion, depression, dementia, brain structure
Joshua Grill	UC Irvine	informant
Andrea Grioni	Central European Institute of Technology (CEITEC)	AD DREAM model prediction
Enrico Grisan	Unversity of Padova	deep learning, neural networks, survival analysis
Anthony Griswold	University of Miami	whole genome sequencing, ABCA7, VNTR
Jenna Groh	Indiana University School of Medicine	Tau, Alzheimer's Disease
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
Luyan Gu	Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou	perivascular space
Sichun Gu	Longhua Hospital, Shanghai University of Traditional Chinese Medicine	Parkinson's disease
guojun Gu	Tongji Hospital, Medical School of Tongji Univers	ASL
Xuejun Gu	The University of Texas, Southwestern Medical Center	radiation, representation learning
Youzhi Gu	Zhejiang University	AD survey
dongdong gu	Hunan University	MRI
Nannan Gu	Shanghai Mental Health Center	cognitive impairment, Alzheimer’s disease, data-mining techniques
Yohn Guan	Shanghaitech University	disease progression, metric learning, multi task
Yi Guan	Boston University School of Medicine	Imaging, MCI, subtypes
Ji Guang	Soochow University	GAN, MRI, CT
Cecilia Guariglia	Università Sapienza	dementia, cerebellum, mri
santwana gudadhe	PCCOE	alzheimer disease
Egle Gudziuniene	Lithuanian University of Health Sciences	Alzheimer's disease, early diagnostics, dementia, brain damage
Daniel Guellmar	Jena University Hospital	deep learning, MRI, biomarker
Tobias Guennel	Precision for Medicine	CSF, predictive, machine learning
Rosember Guerra Urzola	Tilburg University	Sparse Principal component analysis, High Dimensional analysis, Optimization
Pamela Guevara	University of Concepción	white matter bundles, anatomy, machine learning
Agathe Guilloux	Université Evry - Paris Saclay	statistical learning, survival analysis
Pedro Guimarães	Saarland University	biomarkers, deep learning
Abel Guimaraes	Ryerson	deep learning, Alzheimer’s Disease
Lênon Guimarães	USP	GAN, MDD, Graph Analysis
Vânia Guimarães	Faculty of Engineering of the University of Porto	Classification, Alzheimer's Disease
Ana Guisasola	Universidade do Minho	machine learning, medical image, artificial intelligence
sharvari gujja	Wuxi NextCODE	machine learning, deep learning, genetic drivers
Ananya Gulati	Illinois Institute of Technology, Chicago	Alzheimer's, Machine Learning, Algorithms, Analysis, Drug, Bacteria, Gene
Doğuş GÜLGÜN	Mersin University	Deep Learning, Classification
SARITA GULIA	KRMU GURGAON	MATLAB, AD, ADNI
Alisha Gumber	New York University	R data analysis alzheimers
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
Yusheng Guo	South China University of Technology	asd123....
haoming guo	The First Affiliated Hospital of Chongqing Medical University	MRI
Jiaming Guo	Massachusetts General Hospital	ordinal regression, progression of AD
Gavin GUO	The Hong Kong Polytechnic University	machine learning; transfer learning；AD
Xiaoyan Guo	Qiqihar University	deep learning medical imaging
Bin Guo	Vanderbilt University	White Matter, BOLD, Lag time
Jia Guo	Columbia University	AD, MRI
Lei Guo	Jiangnan University	ADNI; Alzheimer’s disease diagnosis
weiping guo	Beijing Normal University	classfication，Euler Elastica Regularized Logistic Regression
wenbin guo	Pingtan Comprehensive Experimental Area Hospital	alzheimer
Yanrong Guo	Hefei University of Technology	classification , neuroimaging
Hengtao Guo	Rensselaer Polytechnic Institute	Deep Learning, Computer Vision
yu guo	huazhong university of science and technology	DTI
Tengfei Guo	University of California, Berkeley	Alzheimer's disease; amyloid; tau; neurodegeneration
Shang Guocan	South Central University For Nationalities	Image Segmentation, Image Landmark Extraction
Pranav Gupta	IIT BHU	CNN, Image Processing, Dementia classification
Vivek Gupta	Softsensor.AI	AI, Alzheimer, segmentation, disease progression
Ashish Gupta	Independent Researcher	Machine Learning, Deep Learning
Smriti Gupta	Nitj	Alzheimer disease, MRI image
Sanskriti Gupta	The NorthCap University	Alzheimer, fMRI, Deep Learning
Sunidhi Gupta	NYU	Alzeihmer, dataset, predict
Gaurav Gupta	USC Viterbi School of Engineering	Alzheimer
Navin Gupta	Indian Institute of Technology, Guwahati	clinical subtyping, data driven, symptoms, independent component analysis
gaurav gupta	Shoolini University	Alzheimer image segmentation machine learning
Amrit Gupta	Vellore Institute of Technology, Chennai	Predect Alzeihmer's using Machine learning
Aditi Gupta	KUMC	Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI
Vinay Gupta	University of Manitoba	Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Yubraj Gupta	Chosun university	CNN, Alzheimer disease
Rishab Gupta	SUNY Downstate Medical Center	Alzheimer Disease, Outcome, ethnicity
SHLOMIT GUR	Penn State University	Evolving functional connectivity analysis, machine learning, graph theory
HARSIMRAN GURAM	lOVELY PROFESSIONAL UNIVERSITY	Dementia,Neural network,MRI
Antoni Gurgui	IBEC	progression model, alzheimer disease, simulation,
Robert Gurke	University Frankfurt	homocysteine, lipidomics
Segolene GURNOT	le wagon	diagnosis prediction longitudinal imaging
Mahmut Edip Gurol	Massachusetts General Hospital	CAA, cortical thickness, controls, AD
Carlos Gutierrez	Imij Inc	Structural MRI
Jose Gutierrez	Columbia University	arterial diameters, beta amyloid, tau
David Gutman	EMORY UNIVERSITY	mri dti adni
Boris Gutman	University of Southern California	DTI, diffusion MRI, Alzheimer's, human connectome
Kadir Güzel	Yildiz Technical University	Machine Learning
Beata Gyorgy	ICM	gwas, personalised medicine, longitudinal analysis
wang h	qfnu	research
J H	SD Univ.	Image processing; feature extraction
Jarrod Haas	Simon Fraser University	imaging, computer vision, synthetic data, machine learning
Haroun Habeeb	University of Illinois at Urbana Champaign	Machine Learning
Mohamad Habes	University of Pennsylvania	AD-like patterns, Brain Aging, White Matter Hyperintensities
yibeltal habtamu	AAiT	data,information,knowledge then wisdom.
Tetiana Habuza	UAE University	brain atrophy,VBM
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
Kirsten Hagen	Oregon Health & Science University	plasma, oxylipins
Alice Hahn	Samsung Medical Center	Alzheimer's
Yan Hai	Georgia state university	confidence interval, sensitivity
Ye HaiLi	CASIA	CV
Nic Hainc	TWH	deep learning keras
Jiang Haitao	USTC	scientific research
Sun HaiYang	Hangzhou Normal University	Inter-Scanner Reliability PET SUV
Nahid Hajizadeh	Shiraz University of Technology	Alzheimer
vedant hakande	iit indore	want to build algorithm for classification of disease
Navneet Hakhu	University of California, Irvine	enrichment, model misspecification, mean-variance, bias, clinical trials
zahra hakimelahi	islamic azad university tehran branch	idea-alzheimer's disease
hamed hakkak	Islamic Azad University	mri image
Omar Halawa	Harvard Medical School	IADL, neuropsychiatric symptoms, tau PET
Drew Halliday	University of Victoria	DTI, neuropsychology
Amy Halpin	University of Maine	CSF biomarkers, cut points, demographics
Andac Hamamci	Yeditepe University	VBM teaching
Fadel Hamed	Universidad de Granada	research matlab algorithm
Radin Hamidi Rad	Ryerson University	AI, Machine Vision
Tyler Hammond	The University of Kentucky	cognitive reserve, Alzheimer disease, aging, DTI, MRI
Tom Hampshire	Gold Standard Phantoms	registration, mri, image analysis
Olivia Hampton	Massachusetts General Hospital	PACC, harmonization, amyloid, cognitive decline
Sultonmurod Hamroev	Anhui University of Technology	MRI, Alzheimer's, Neural Networks
Maryam Hamzelu	Tarbiat Modares University	Deep learning, machine learning
Shuanglin Han	Johns Hopkins University	NGS analysis; rs17125944
Xiangmin Han	SHU	DNN
Yutan Han	Shanghai University of Finance and Economics	2015Hyt0613
yujeong han	konyang university	deep running
Feng Han	the Pennsylvania State University	biomarker, fMRI, brain dynamics, prediction model
qinghua han	Yunnan university	Alzheimer's disease(AD,MCI,machine learning,deep learning,ADNI
Liang Han	Chongqing University	early detection, MRI, MCI, AD, Artificial Intelligence
Shizhong Han	The University of Iowa	GWAS, heritability, sMRI, and fMRI
Wenjing Han	Capatical Medical University	gene multimodal
Duke Han	USC	cognition, neuroimaging
wenzhong han	Shenzhen university	segmentation;hippocampus
Francis Hane	Lakehead University	AD prediction, APOE4, Bayesian
Tong Hang	Southwest Jiaotong University	experimental data
Alexandru Hanganu	University of Montreal	T1, fMRI, rsfMRI, DTI
Kurtis Hanks	Washington University of Saint Louis	Bateman, amyloid-ß, assay, 42/40 ratio
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
Xu HanXiao	Xidian University	risk gene,biomarker,
Yang Hao	Beihang University	Functional imaging, brain connectivity
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
Meiling Hao	University of International Business and Economics	Gene; Statistical Analysis; AD
JIANG HAO	NEU	12345642
Bai Haoyue	Central South University	272563575db
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
Vida Harati	Shahed University	deep learning classification
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
Ankur Haritosh	Jaypee Institute of Information	Research, Brain diseases,classification
Akdes Harmanci	UTHealth at Houston	Single cell
wade harper	Harvard MEdical School	alzheimer's disease, protein misfolding
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
Jacqueline Harris	University of Calgary	Machine Learning, Neuroimaging, Psychiatry
Brandon Harvey	Emory University	Alzheimer's Disease, Quasi-Periodic Potentials, fMRI, connectivity
Danielle Harvey	Unversity of California, Davis	biostatistics
md tasnimul hasan	University of potsdam	Image classification
Md. Mahmodul Hasan	Mawlana Bhashani Science and Technology University	AD, CNN, SVM, AD Detection
Khader Hasan	University of Texas Health Science Center at Houston	diffusion tensor, CSF
noorul hasan	National Institute of Technology	Image Segmentation
Jonathan Hasbani	ITBA	Neural networks, machine learning, Alzhei
Gwenole Hascoet	Georgia Institute of Technology	prediction, Alzheimer, progression
nazi hashem	azarbaijan university	alzheimer dataset
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
Mahmoud HASSAN	Rennes University	EEG; Dysfunctional Brain networks;
Kilian Hasselhorn	University Koblenz-Landau	power analysis; starting point
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
Shereif Haykal	UMCG	diffusion-weighted imaging; optic nerves; NODDI; DKI
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
Nalini Hazra	USC	Alzheimer's
Suvojit Hazra	University of Calcutta	neuroimaging
Hao He	Georgia Institute of Technology	course project
Tao He	San Francisco State University	set-based association, pathway analysis
zhang he	Chongqing University of Posts and Telecommunications	image-to-image, multi-modal medical image
Yao He	University of Utah	PET, FDG-PET, Focal AD
Qiliang He	Georgia Institute of Technology	flicker exposure
xiaozheng he	zhujiang hospital	PD csf BIOMARKER
Qin He	TUT	AD
Xuanning He	Australian National University	Dementia, Cognitive Function, Lifestyle, Cognitive Reserve
yuru he	Sounth Medical University	PET-MR
Linchen He	New york university	Association test, binomial mixture model, complex disease, genetic heterogeneity
Shuting He	State Key Laboratory of Industry Control Technology, College of Control Science	AD survey
Chenyu He	Shanghaitech University	Segmentation, T1, Human Brain
Huiguang He	Institute of Automation, Chinese Academy of Scicences	fMRI, DTI, Medical Image Processing
Siyuan He	Changchun University of Science and Technology	computer aided diagnosis, deep learning
wenwen he	Guizhou Medical University	experiment
Xiaoning He	The Second Affiliated Hospital of Dalian Medical University	Radiomics
Zhen He	La Trobe University	deep learning, computer vision
Eric He	UNC	MIA
Yuening He	Georgia State University	Apathy
Ke He	Tsinghua University	Registration, deep learning
xiaoxi he	Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji	861130
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
Madhusudan Hegde	Stanford University	Research
leili heidaryan	sd	2
Luca Heising	Tilburg University	Machine learning, Deep learning, Early detection, Alzheimer's
Jarle Helle	Western Norway University of Applied Sciences (HVL)	Neural network, Brain age, Predict, MCI, Alzheimer's disease
Christopher Hemond	University of Massachusetts	atrophy, neutrophil-lymphocyte ratio
Samuel Henderson	Accera Inc	APOE, ADAS-Cog, MMSE
Andrew Henney	JCU	Generative Adversarial Networks
Rui Henriques	Instituto Superior Técnico, Universidade de Lisboa	Classification, Clustering
dawoon heo	Korea Univ.	deep learning
Tobias Hepp	University Hospital Tuebingen	Deep Learning, Age Estimation
Wiranthe Herath	Southern Illinois University Carbondale	Regression
Renato Hermoza Aragones	The University of Adelaide	Deep learning, reinforcement learning, survival prediction, biomarkers
Monica Hernandez	University of Zaragoza	Computational Anatomy
Antonio Hernandez	VerSci	Alzheimer;s
Yamid Fabián Hernández Julio	Universidad del Sinú	Fuzzy inference systems
Marcus Heron	University of ulster	Data Science, Machine Learning
Nitsa Herzog	Birkbeck University of London	MCI, Alzheimer, machine learning
Nitsa Herzog	Birkbeck University of London	Mild cognitive impairment, Alzheimer
Jonathan Hess	SUNY Upstate Medical University	Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett	Vanderbilt University	Tensor-based analysis, Diffusion MRI
Kilian Hett	University of Bordeaux	Patch-based biomarkers, hippocampus, hippocampal subfields
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
David Hilman	Imperial College London	Random Forest, KNN, SVM, Progression
Max Hinne	Radboud University	Generalized Wishart Processes; network regression
Daisuke Hirahara	Kagoshima Medical Technology College	artificial intelligence
YASHAS HIREMATH	Case Western Reserve University	ABIDE
Robin Hirt	KIT	deep learning, transfer learning, artificial intelligence
Andreia Hisi	ICM	data to reproduce article
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
Raymond Ho	ouhk	machine learning, empirical mode decomposition
Ngoc-Huynh Ho	Chonnam National University	Deep learning, Bioinformatics, AD
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
Jacqueline Hogan	University of Massachusetts Boston	vvvvv
Timothy Hohman	Vanderbilt University School of Medicine	Genetics, Resilience, Asymptomatic,
Daniel Holder	Merck Research Laboratories	Biomarkers
Robin Holmes	University Hospitals Bristol	Machine learning, VBM
Henne Holstege	Amsterdam UMC	Genetics, Alzheimer
Vincent Leonard Holstein	University of Münster	Multiple Sclerosis, Transfer learning
Robyn Honea	University of Kansas School of Medicine, Alzheimer's Disease Center	family history, structural brain imaging, mitochondria
junyong hong	Dongseo University	machine learning
Ziming Hong	Huazhong University of Science and Technology	medical image analysis; deep learning; graph convolution network
xin hong	XiaMenUniversity	AD, Prediction
Chae Moon Hong	Kyungpook National University Hospital	Amyloid, Alzheimer, white matter hyper intensity
Xuesong Hong	CSU	biomedical research
HaoTian Hong	Shanghai University	RSFC fMRI-BOLD
junyong hong	Dongseo University	machine learning
Eunpyeong Hong	vuno	AI, deep learning
liu hongli	Beijing university of technology	research,MCI,classification
zou hongliang	Nanjing University of Science and Technology	research
Yi Hongyuan	zhongshan hospital，shanghai	AD
Bradley Hooker	AbbVie	Machine Learning Texture-Based Analysis tau PET
ahora hoooseyni	none	abc
Masoud Hoore	Helmholtz Center for Infection Research	equation-based modeling, systems immunology, multi-scale modeling
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
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
Amirhoshang Hoseinpour Dehkordi	IPM	Machine Learning, Neural Networks
MD.Ali Hossain	MIU	Deep learning, CNN, RNN
Md Sajjad Hossain	North western university,Khulna	thesis,research
Md Jakir Hossain	UTRGV	TSCCA
Rana Hossam Elden	Helwan University	Alzheimer’s disease, classification
Hadi Hosseini	Stanford University	big data, prediction
salameh hosseini	azad islamic university	convolutional network,Alzheimer’s Disease,Neuroimaging
Seyyed Abed Hosseini	Islamic Azad University of Mashhad	fMRI, Data analysis, Classification
Beibei Hou	Beijing University of Posts and Telecommunications	medical image analysis
DI HOU HOU	JILIN UNIVERSITY RESEARCH	BRAIN MRI T2
Fatao Hou	Shanghai Jiao Tong University	Alzheimer Disease, Mild Cognitive Impairment, Magnetic Resonance Imaging
Yuxuan Hou	ZJU	jifaley
Jia Hou	Hangzhou Dianzi University	brain network, classification
Alexander Houck	Columbia University Medical Center	GWAS, ICAM-1, White matter hyperintensities, tau, amyloid-beta
Katherine Houghton	RTI Health Solutions	biomarker, natural history, cost effectiveness
Imane Houmir	Miss	Alzheimer's symptoms
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
Jasmine Hsiao	ACER	cognitive frailty
Yih-Jwu Hsiao	McMaster University	Alzheimer's, textural analysis, Python, machine learning, ML, texture
TunWei Hsu	Taipei Veterans General Hospital	AD
Li-Ming Hsu	UNC at chapel hill	gaphy theory, machine learning
TING JUI HSU	National Chiayi University	timmy70267
Ming Hsu	University of California, Berkeley	fluency, semantic memory
ChungFu Hsu	Chung Shan Medical University Hospital	Functional MRI, PET, Dementia
Mingyue Hu	Central South University	MCI, AD
Mengjie Hu	Zhejiang University	In-deep learning,cognitive impairment
helen hu	SHU	AD diagnosis
Nan Hu	Genentech	biomarker; disease progression
Kaiqin Hu	Xi'an Jiaotong University	Maching Learning
Shi Hu	University of Amsterdam	deep learning, medical image analysis
Lingjing Hu	Capital Medical University	Texture analyze, VBM
Chang Hu	University of Illinois at Urbana-Champaign	neural network, longitudinal prediction
Xiaonan Hu	Sinovation Ventures	MRI
Xuefang Hu	Hebei University	AD NC difference
Helen Hu	C2N Diagnostics, LLC	fluid biomarkers
Jinlong Hu	South China University of Technology	brain diseases diagnosis, machine learning algorithm
Helen Hu	SHU	investigation; algorithms
Jen Hu	Chung Shan Medical University	Resting state fmri
Yu Hu	South China University of Technology	Alzheimer's Disease detection; machine learning; data mining
Tom Hu	UC Berkeley	CNN, Tensor, Regression, Deep Learning
Sing Hu	Sun Yet Sen University	deep learning
Xixu Hu	University of Science and Technology of China	ADNIMERGE
Cong Hu	Jiangnan University	artificial intelligence, pattern recognition, image processing
Lixia Hu	Shanghai Lixin University of Accounting and Finance	arying-coefficient additive models, Local linear estimators, Tensor product of
Yang Hu	South-Central Minzu University	classify and detect Alzheimer's disease
Jiazhen Hu	University of Melbourne	Image Segmentation, Image Synthesis
huaqiang hu	IQubic(beijing）Tech LTD.	MRI PET
Shunbo Hu	Linyi Univeristy	image segmentation
jialin hu	shanghaijiaotong university	neural circuit
SONG HU	METROHEALTH	Segmentation
Ying Hu	University of Shanghai for Science and Technology	MRI ;Deep Learning; AD Biomarkers
xiaoyu hu	peking university	fpca
Zhen Hu	Johns Hopkins University	connectome publication and open source dataset
jiang hua	Liaocheng University	resting state fMRi
Li Hua	Wuhan University	segmentation
Jia Hua	SUNY at Buffalo	Early stage, diagnostic test
Rui Hua	Southeast University	deep learning,multimodal imaging,CNN
Sunyu Hua	The second affiliated hospital of Soochow Unversity	Alzheimer’s disease;cortical thickness;cortical complexity
Tao Hua	Huashan hospital, Fudan university	Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Nancy Huaman Mamani	UNICAMP	ontology, alzheimer disease
liu huan	sichuan university	Artificial intelligence、deep learing
Yuan Ling Huang	Chang Gung University	Alzheimer’s Disease, deep learning, Mild Cognitive Impairment
Peiyu Huang	Zhejiang University	CBF, network
Meiyan Huang	Southern Medical University	association anlysis
Chu-Chung Huang	National Yang-Ming University	white matter lesion
Yunyou Huang	Institute of Computing Technology, Chinese Academy of Sciences	classify, predict, Alzheimer's disease
Shuaihui Huang	South China Agricultural University	Alzheimer's disease
Chin-Wei Huang	National Cheng Kung University	alzheimer's disease
gan huang	university of shanghai for science and technology	AD, Brain network, PET, MRI
Yiyanwen Huang	Queen's University Belfast	How arginine metabolism altered Alzheimer’s disease
Jie Huang	Michigan State University	resting-state fMRI, functional connectivity
Xucheng Huang	Friedrich-Alexander-Universität Erlangen-Nürnberg	student thesis
chenyu huang	JILIN university	H+
Sihui Huang	The University of Texas at Dallas	Big Data, Machine Learning
MAO LUN HUANG	National Chiao Tung University	951258
Sharon Huang	Stanford Linear Accelerator Center	Stanford, AD, Machine learning, Bayesian Statistics
Jingwen Huang	University of Electronic Science and Technology	machine learning
Huey-Jing Huang	Takeda California	biomarkers
Haiqing Huang	University of Pittsburgh	amyloid, PET
Li Huang	wuhan university	brain aging, prediction model
Vicki Huang	Georgia Institute of Technology	classification, progression, prediction, deep-learning, Alzheimer's Disease
Jianpan Huang	City University of Hong Kong	Alzheimer's disease, deep learning
Chao Huang	UNC	multiscale adaptive regression model shape analysis
huaidong huang	The Second Affiliated Hospital of Shantou University Medical College, China	Alzheimer’s disease, machine learning
Xianzheng Huang	University of South Carolina	Mode regression, prediction, regressor
Zhichun Huang	University of Wisconsin-Madison	FDG PET, ASL Perfusion, Deep Learning, Generative Model, GLOW
Henghua Huang	Beijing University of Chemical Technology	GAN
Biwei Huang	Carnegie Mellon University	Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
chenyu huang	JILIN university	H+
Suqi Huang	Sun Yat-sen University	fMRI,AD
Chao Jung Huang	National Taiwan University	AD prediction
Kun Huang	Indiana University School of Medicine	Alzheimer's disease; Biological markers;
Haiyu Huang	Southwest Jiaotong University	Classification of Alzheimer
Yin Huang	Lerner Research Institute - Cleveland Clinic	metabolomics, network, biomarkers, Alzheimer’s Disease
Yali Huang	Hebei University	white matter; fMRI
Yongxiang Huang	The Hong Kong University of Science and Technology	Deep Learning, alzheimer diseases
Teng-Yi Huang	Taiwan Tech	deep learning
Edward Huang	University of Illinois at Urbana-Champaign	Network integration, EMR analysis
Jiayin HUANG	Hospital	Risk decision making，aMCI，MRI
Mengni Huang	university of leeds	prepare dissertation, do research
Huijun Huang	Xi'an Jiaotong University	AD; deep learning; biomarker; pathway
Manuel Huerbin	MIAC AG	Morphometry
Ismael Huertas	Institute of Biomedicine of Seville	FDG PET, intensity normalization
Andrew Hufton	Springer Nature	data-peer-review metabolomics
Kgosi Hughes	Wake Forest University	Alzheimer's disease, magnetic resonance imaging (MRI), PET, biomarkers
Jacob Huh	UC Berkeley	anomoly detection
Frank Hui	Burnaby North Secondary School	Convolutional Neural Network, Glioblastoma Multiforme, MRI scans, healthy brains
Aw Hui Yee	University Malaysia Perlis	Alzheimer disease
Willem Huijbers	Tilburg University	methods development, data science
yang huijing	brijing university of technology	brain network ；graduate student
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
Guanhua Hung	Tunghai University	Early Diagnosis,Early Diagnosis
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
Aamira Huq	University of Melbourne/ Royal Melbourne Hospital	Dementia polygenic risk score, resilience
Boyoung Hur	Clemson University	ADNI
renad hussain	King abdulaziz university	RENAD
Zain Hussain	University of Edinburgh	Machine Learning
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
Inyong Hwang	Korea University	Deep Learning, Image Processing
Jihye Hwang	Asan medical center	time analysis
Heungsun Hwang	McGill University	imaging genetics; statistics, bioinformatics
hyunho hwang	hanyang university	skull stripping
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
kim hyunwoo	korea university brain recognition	Alzheimer
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
Abdultawwab Ibiyeye	Federal Polytechnic, Offa	Alzheimer, Machine Learning
Olga Ibragimova	ChemRar	Avineuro, ChemRar, Alzheimer, AD, Dementia
Samuel Iddi	University of Ghana	Alzheimer's, Joint Models, Prediction, Statistical models
Jaime Ide	Yale University	cnn, deep learning, supervised learning
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
Toshikazu Ikuta	University of Mississippi	DTI; tractography; genetics
Ahmad Ilham	Universitas Muhammadiyah Semarang	Alzheimer Predictiion, Machine Learning
Ilias Iliopoulos	University of Patras	dataset , alzheimer , training , algorithm , classification
Guillermo Illana	Universidad Politécnica de Madrid	AI, Alzheimer disease, AD, preclinic, DTI, T1
Talha Ilyas	Jeonbuk National University	Segmentation
Masamichi Imai	Tokyo Metropolitan Institute of Gerontology	network analysis
Livia Imami	Bisopective	ADNI
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
Park ing	Acme	Clustering
Silvia Ingala	Amsterdam UMC	amyloid, alzheimer, MR, imaging, T1
Marianna Inglese	Imperial College London	radiogenomic, alzheimer disease
Ananda prasad Inguva	IIITG	CNN
Philip Insel	NCIRE	power, rates of change
Ruxandra Ion	University College London	machine learning alzhimer's
Nancy Ip	The Hong Kong University of Science and Technology	synapse, cell surface receptors, kinase
Khajasta Iqbal	University of Wah	Alzheimer detection, MCI detection
Saeed Iqbal	University of Central Punjab	Brain MRI, Alzheimer Segmentation
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
Tariqul islam	BUET	0BR11
Mustafa Ismael	Babylon University	image processing, pattern recognition
Mohamed Ismail	TU-Darmstadt	Early diagnoses alzheimer master thesis
NUR HAFIEZA ISMAIL	Texas A&M University	Alzheimer's disease
NUR HAFIEZA ISMAIL	Texas A&M University	Alzheimer's disease
Elvin Isufi	Tu Delft	detecting anomalies over networks
Daisuke Ito	Nagoya Universiy School of Medicine	Metabolomics
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
Atsushi Iwata	The University of Tokyo	J-ADNI
Akshay Iyer	Worcester Polytechnic Institute	Alzheimers, brain MRI scans, image analysis, artificial intelligence
Walter Izquierdo	Florida International University	BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
Nick Izzo	Cognition Therapeutics	proteomics, metabolomics, genomics
Neelaveni J	Sri Ramakrishna Engineering College	Access
Jaikanth J	SASTRA	3D CNN, Alzheimer’s, detection
FEMINA J	ANNA UNIVERSITY	alzheimer's dataset
Manjunath J	Candiphi Healthcare Pvt. Ltd	Alzheimer,MRI scans
ALPHIN J	IIIT H	STRUCTURE ANALYSIS, ALZIMERS
Emimal Jabason	Concordia	Deep Learning
Emimal Jabason	Concordia	Image Processing
Basma Jaber	Goldsmiths, University of London	Recurrent Neural Network, Alzheimer's Disease.
Jonathan Jackson	Fr. C. Rodrigues Institute of Technology, Vashi	Alzheimers, Dataset, CNN, MRI scan
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
William Jagust	UC Berkeley	PET, ROI
MUHAMMAD SHAH JAHAN	College of Electrical and Mechanical Engineering,NUST	MCI,AD,Capsule Network
Vikas Jain	IIIT Vadodara	Machine Learning, Random Forest
Parag Jain	Indian institute of information technology gwalior	Graph Neural Networks , Resnet
Anubhav Jain	IIIT-Delhi	brain-images, Deep Learning, Course-project
Ishan Jain	Jaypee Institute of Information Technology, Noida sec-62, India	MAchine learning
Sargam Jain	University of California, Berkeley	PET, MRI, Amyloid Hypothesis, dimension reduction
Goran Jakimovski	KTI	Deep Neural Networks, computer algorithms, Machine Learning
Nikša Jakovljević	University of Novi Sad, Faculty of Technical Sciences	assistant professor, signal processing, pattern recognition, programming
Zahra Jalalvand	Central Tehran Branch Islamic Azad University	MRI, Alzheimer's disease, dti, fsl, Explorer dti
Sharna Jamadar	Monash University	parenthood, cortical thickness, connectivity
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
Mojtaba Jamshidi	Qazvin Branch, Islamic Azad University	data mining
LUIS JAÑEZ	UNIVERSIDAD COMPLUTENSE DE MADRID	machine learning, predictive models, SVC, DNN, Alzheimer's disease,
Sung-eun Jang	Dongguk univ.	machine learning, one-shot learning
Jae-Won Jang	Kangwon National University Hospital	Mild cognitive impairment, Alzheimer’s disease, CSF biomarkers, Brain MRI, Beta
Ikbeom Jang	Massachusetts General Hospital	image quality, artifact, quality assessment
Jae-Won Jang	Kangwon National University	Deep learning, MCI, artificial intelligence
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
Mohamed Ali Jarboui	Department of Preclinical Imaging and Radiopharmacy. UKT	metabolomics
Daniel Jarquin	Universidad Autónoma de Ciudad Juárez	Deep learning, image reconstruction
Mojib Javadi	Indoc Research/OCBN	data structure, data sharing, data visualization
Reza Javidi	Janssen R&D	computation, data analysis
Monica Javidnia	University of Rochester	imaging, parkinson's, alzheimer's, dementia
Kharne Jean	University of Georgia	APOE e4 functional independence white matter integrity
Ryu JeChoil	Soongsil univ.	Computer vision
Angela Jefferson	Boston University	Cognitive Performance, Aging
Irina Jelistratova	German Center for Neurodegenerative Diseases (DZNE)	amyloid pathology, amyloid-sensitive PET
WEIMIN JENG	Soochow University	SVM, SSM, PCA, PET, MRI
Lisanne Jenkins	Northwestern	cortical thickness, neuropsychiatric symptoms
Bjørn Jensen	University of Glasgow	machine learning, neural networks, diagnosis, robustness
youngseok jeon	National University of Singapore	Deep learning, CNN, GAN, deep representation, Alzheimer's Diseaase
SEUNG YEON JEONG	KONYANG UNIVERSITY	deep learning
Byeong Chang Jeong	Korea University	network science, deep learning
Jonghun Jeong	Deepnoid	alzheimer, PET, deep-learning
Yong Jeong	KAIST	fMRI, Resting State, DMN connectivity
yeonuk jeong	asan medical center	deep learning
Young Jin Jeong	Dong-A University Hospital	MCI, FDG-PET, White matter
Sun Jeremy	Jilin University	brain
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
meng Jhon	CUST	Deep learning
Minsu Ji	KAIST	fNIRS
li ji	xibeidaxue	medical image super resolution
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
Gong-Jun JI	Anhui Medical University	white matter, MRI, brain
jun ji	Yunnan University	TGL algorithm predict
shanling ji	lanzhou university	AD
Zhiwei Ji	The University of Texas Health Science Center at Houston	multi-omics, systems biology, predictive model
Bochao Jia	Eli Lilly and Company	RNN, predict longitudinal data
Hong Jia	UNSW	GAN
Mengge Jia	Beijing Normal University	brain
Guo Jiachang	Huazhong techniche university	Research
chu jiahuan	Donghua University	AD,MRI,Clinical data,Multi-class
Xu Jiahui	SZU	medical image diagnosis
Caiqing Jian	Guizhou University	MRI, CNN, Deep Learning
zhang jian	shenzhen yiwei inc	mri
ren jian	central sourth university	learning
Zheng Jian	XiDian University	AD classification
Kening Jiang	Johns Hopkins Bloomberg School of Public Health	N/A (only for study)
shan jiang	Sensetime Innovation	research
Teng Jiang	Nanjing First Hospital	Alzheimer's disease, Neuroinflammation, Biomarker
Xiaotong Jiang	UNC	decision making, treatment regimes, deep learning
Zhiqiang Jiang	Nanjing University of Science and Technology	Quantile regression; partial functional partially linear single index model.
Yating Jiang	The Center South Unversity	U-Net
Songhao Jiang	University of Chicago	brain, disease, MRI
Xuejuan Jiang	USC Roski Eye Institute	herpes
Xiong Jiang	Georgetown University Medical Center	MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
Zhenqi Jiang	Dalian University of Technology	Alzheimer,ICA,convolutional neural network (CNN),hierarchical diagnostic feature
Fei Jiang	The University of California, San Francisco	dynamic functional connectivity, resting state
Hongliang Jiang	Southease University, China	AI, machine learning
Shu Jiang	Washington university in st.louis	prediction, progression, validation
Shu Jiang	Harvard Medical School	out-of-sample validation
Hongchao Jiang	Nanyang Technological University	Artificial Intelligence
Lingxiang Jiang	Taizhou First People's Hospital	Vascular endothelial growth factor; neurogranin; synaptic dysfunction; Alzheimer
Shirui Jiang	Shenzhen University 1st Affiliated Hospital	neuro feedback
Shaozhi Jiang	University of Massachusetts Lowell	Prediction, Deep Learning, Computer Vision
yitong jiang	the University of Queensland	doing research
Biguo Jiangnan	Lanzhou University	research
jiacheng Jiao	Harbin Engineering University	neural network,automatic detection
Bai Jiaqi	Chongqing university	Parkinson's disease
cai jiatong	Shanghai Maritime University	pet
Wang Jiaxing	Northeastern University of China	Alzheimer, deep learning, convolutional neural network
wang jiayi	BUAA	Deep reinforcement Learning,image recognition
Li Jie	Beijing Jiaotong University	machine learning;early diagnoses;AD
biao jie	Anhui Normal University	Brain Connectivity
cen jihai	Guizhou medical university	Research, project
julian jimenez	university of Madrid	alzheimer project
Adolfo Jiménez-Huete	Hospital Ruber Internacional	Differential diagnosis; Gray matter volumetry
Koji Jimura	Keio University	resting state fMRI, behavioral testing, functional connectivity
Xuehong Jin	Hebei Normal University	jxhnm104542@j
Yu Jin	University of Shanghai for Science and Technology	study ; deep learning
Liang Jin	The University of Melbourne	MRI, PET, biomakers, cognition
Yan Jin	University of California, Los Angeles	DTI
Shihao Jin	Zhejiang University	survival analysis, Alzheimers Disease, mixed type of data, deep-learning
Chengshi Jin	UCSF	brain
Xuehong Jin	Hebei Normal University	jxhnm104542@j
Peng Jin	New York University School of Medicine	functional data analysis, subgroup identification, machine learning
Shichen Jin	Shanghai University	predict pet image
haihong jin	Oregon Health and Science University	alzheimer, comarison
PANG JING	LIAOCHENG UNIVERSITY	76528425123
xu jinyang	shenzhenuniversity	study research
yao jizhi	Hebei university	no
Seeun Jo	POSTECH	Personalized model, Statistical model, Model tree
Hang Joon Jo	Mayo Clinic	RS FMRI
Taeho Jo	Indiana University	Tau
Hyeongmin Jo	Hanyang university erica	CNN, 3D-CNN
Katie Jobson	Temple University	white matter hyper intensities, MCI, aphasia, BIANCA pipeline
Karan Jodha	Vellore Institute of Technology, Vellore	CT-Scan,Alzheimer's disease
Ramya John	National College of Ireland	symptoms, disease related analysis
Stian Johnsen	BrainMiner Ltd.	CAD, AD, Software validation
Bryce Johnson	University of Wisconsin-Madison	PET Scans
David Johnson	UC Davis	Cognitive Impairment, longitudinal decline, Neuropsychology
Sterling Johnson	University of Wisconsin-Madison	tau, amyloid, pre symptomatic
Jane Johnston	Neurotez Inc	Leptin, clinical trial, Alzheimer's
Stephen Johnston	Swansea University	Prosopagnosia, VBM, MRI
Alireza Jomeiri	Islamic Azad University	Alzheimer's disease, deep learning, MRI
Erin Jonaitis	University of Wisconsin-Madison	education, reproducibility, open science, computing
Daniella Jones	University of Surrey	Alzheimer's, MMSE, MR Imaging, PET Imaging, ADAS Assessment
Matthew Jones	San Jose State University	diffusion compartment analysis
Tanya Joon	University of Alberta	PET Image
Jane Joseph	Medical University of South Carolina	rsfMRI, graph theory, machine learning
ANITA JOSEPH	RAJAGIRI SCHOOL OF ENGINEERING	BRAIN TUMOR
Joy Sebastian Prakash Joseph Irudayaraj	Chettinad Academy of Research and Education	fMRI, DTI, Conn, DSIStudio
Jitesh Joshi	Tata Elxsi Ltd	DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection
Dhanashri Joshi	PICT,Pune	demo
Juho Joutsa	University of Turku	Teaching
Mia Jovanova	University of Pennsylvania	class assignments
Jasmina Jovanovic	University of Texas at Austin	SVM, DT, DNN, CNN
Valentin Juenger	Charite Universitaetsmedizin Berlin	NAWM, microstructural changes
Freimut Juengling	University Hospital Berne and PET/CT Centre Northwest Switzerland	SPM, AAL, SSP, PVC
Sun Jun	Beijing Jiaotong University	test algorithm
Gyungah Jun	Boston University	cognitive function, MRI, genome-wide association study
Wang Jun	LAN ZHOU UNIVERSITY	w23161925
Soukwon Jun	Seoul National University	UNET
Ma Junchi	Hangzhou Dianzi University	fMRI functional connectivity
Young Hee Jung	Samsung Medical Center	Alzheimer' disease
Euijin Jung	DGIST	Deep learning, MRI, PET, Synthesize,
Minyoung Jung	University of Fukui	freesurfer
gayoung jung	kyonggi university	Alzheimer's diagnose
Kwanghee Jung	Texas Tech University	Quantitative
Hyeyoom Jung	HGU	artificial intelligence detecting Alzheimer’s disease from MRI scans
Jongsun Jung	Syntekabio	deep learning, hilbert, patient stratification, biomarker
Ho Yub Jung<