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
Soniya -	Dayalbagh Educational Institute	machine learning techniques, Alzheimers disease
Srinivasan A	CSIR-CMERI	Alzheimer's Disease
Thushara A	TKM College of Engineering	Image processing, deep learning, AD
shyna A	TKM	ASL,CBF
Dinu A J	Noorul Islam	AI,Alzheimer's disease
Jac Fredo A.R	Nanyang Technological University	Sparse inverse covarience
aasa aa	weser	executive function, exercise
nima aalizade	RS	Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Mohammad Hadi Aarabi	Tehran University of Medical Sciences	Diffusion MRI
saeid abbaasi	FUM	Multi-modal; dimensionality reduction; dynamic structure; effective distance.
Anzar Abbas	Emory University	default mode network, quasi-periodic patterns, dynamics of BOLD signal
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
fatma ABDEDAYEM	NATIONAL SCHOOL Of ENGINEERING OF SFAX, Tunisia	fmri, segmentation, classification, blod signal
Mohamed Abdelaziz	Delta Academy	Ensemble learning , Spatial–temporal constraint
Carla Abdelnour	Fundació ACE. Barcelona Treatment and Research Center	Lewy body disease, biomarkers, cognitive profile
INES ABDENNAJI	Universitat de les Illes Balears	Alzahaimer
AmirHussein Abdolalizadeh	Student's Scientific Research Center	MRI, Imaging Genetics, Alzheimer's Disease, PTSD, Graph Theory, PET
Yousry AbdulAzeem	Misr Higher Institute for Engineering and Technology	Alzheimer’s disease; CNN; Deep Learning;
Ahmed Abdulkadir	University of Freiburg	classification, machine learning
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
Laure Abecassis	Imperial College London	machine learning statistical hypotheses tests
Shafiq Abedin	IBM	TBI, Trauma detection
Tracy Abildskov	University Of Utah	Mild TBI
Samaneh Abolpour Mofrad	Western Norway University of Applied Sciences	Alzheimer, Mixed effect model, Machine Learning, ventricle, Hippocampus
Aaron Abraham	University of Calgary	Non-negative matrix factorization, blood-based biomarkers, machine learning
Tisha Abraham	GE	Deep Learning
Jill Abrigo	The Chinese University of Hong Kong	automated hippocampal volumetry, Alzheimer's disease
Sarah Abrishami	University Of Tehran	Machine Learning, Bioinformatics, Alzheimer's Disease
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
Gerhard Acero	Universidad Nacional de Colombia	Resonance magnetic, alzheimer disease, single nucleotidw polymorphism,
Francisco Javier Acevedo	University of Alcala	PET, MRI, CSF biomarkers
Pedro Marco Achanccaray Diaz	Pontifical Catholic University of Rio de Janeiro	deep learning, classification, Alzheimer diagnosis, representation learning
ramakrishnan Achary	University of Mumbai	Deep learning , Alzheimer's
Nathan Ackermann	Boston University	Machine Learning, MCI, AD
Sarah Ackley	University of California San Francisco	amyloid-PET, cognition, prediction
Noriaki Adachi	MSD. K.K. (Japan Branch of Merck)	threshold
Kendra Adams	Duke University	Metabolomics, Skyline, Software, Data Processing
Benjamin Adams	Eli Lilly & Co.	deep learning, AI, neural network
Hieab Adams	Erasmus MC University Medical Center	Neurodegeneration, high-dimensional data, brain imaging, genetics
Silvia Addamo	University of Pavia	ciao
Viraj Adduru	Rochester Institute of Technology	atrophy, CT, MRI,
Tameem Adel	University of Amsterdam	MRI Classification, Unsupervised Feature Learning.
Nil Adell Mill	ETH Zürich & Zürich University	Deep Learning, Early Diagnosis, Interpretability in Deep Learning
jayanth adithya	Anna university	Alzheimers detection ,MRI analysis
Paul Adlard	The Florey Institute for Neuroscience and Mental Health	Zinc, cognition, ageing, Alzheimer's disease
SEPIDEH AFSHAR	1984	Brain dynamics
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
Aakanksha Agarwal	University of Ottawa	machine learning capsule networks mri datasets classification convolutional cnn
Kunal Aggarwal	Amity University	Machine Learning, AD, MCI
Parya Aghasafari	UC Davis	Feature selection, Machine learning
Mary Aghili	1985	Alzheimer, MCI, NC, machine learning, deep learning
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
Rubén Aguilera García	Granada University	CNN, Alzheimer detection, deep learning.
Jamila Ahdidan	Aarhus University	AD, hippocampus, prediction
PARVEZ AHMAD	Huazhong University of Science and Technology	Deep Learning, Dilated Network, Residual Network, transfer learning
Zeba Ahmad	Rice University	multimodal deep learning, GRU
Wahab Ahmad	COMSATS UNIVERSITY ISLAMABAD(SAHIWAL CAMPUS)	Alzheimer's Diagnosis
ASHAR AHMAD	University of Bonn	Personalized Medicine, Disease Rsik Models
mahdi ahmadi	sahand university	Alzheimer’s disease
Amirhossein Ahmadi	Ferdowsi University of Mashhad	Investigating Focal Connectivity Deficits in Alzheimer’s Disease
Fatemeh Ahmadi	Amirkabir University	Ricci Flow, Teichmuller space, metric
Seyed Emad Ahmadi	Yale School of Medicine	brain segmentation, convolutional neural networks, machine learning
Sara Ahmadi-Abhari	Imperial College London	Alzheimer's disease, dementia, SUVR, Amyloid, Neurodegeneration
Rahman Ahmed	Indiana University	Imaging, CASL, functional decline, blood flow, cortical thickness
Samsuddin Ahmed	BUBT	Deep learning, AD
Rishad Ahmed	University of Jinan	Dementia, Deep Learning
Rahman Ahmed	Indiana University	Cortical Thickness, blow flow, cognitive decline, CASL, model
Shanewas Ahmed	Brac University	AD, MCI, Alzheimer, OCT, Fundus, predict Alzheimer.
Juweiriya Ahmed	Western University	Psychosis, AD
Tanveer Ahmed KF	VISTAS	Segmentation, Clipping, Integration, Histogram features
Yong Yeol Ahn	Indiana University	network, multi-omics, data integration
Sujin Ahn	Gwangju Institute of Science and Technology	alzheimer
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
Santiago Aja-Fernandez	Universidad de Valladolid	Diffusion MRI, anisotropy measures, robust estimation
Oguz Akbilgic	Loyola University Chicago	deep learning, medical image analysis
sharmen akhter	islamic university	abc
yasmeena akhter	IIIT Delhi	ML, MRI, fMRI, Brain diseases
Alex Aklson	IBM Canada	Deep Learning, Classification, Alzheimer's Disease, Older Adults
Essang Akpan	University of Pittsburgh	lateralization, asymmetry
Leon Aksman	UCL	structural MRI, longitudinal analysis, imaging genetics
PRATHYUSHA AKUNDI	International Institute of Information and Technology Hyderabad (IIITH)	Registration with deep 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
Ahmad Al Khleifat	King's College London	Genetics analysis, SV, CNVs, Telomere
Hasan Al Marzouqi	Khalifa University of Science and Technology	deep learning, residual networks, constitutional networks, SNPs
FADHL MOHAMED AL-AKWAA	UNIVERSITY OF MICHIGAN	metabolomics, personalized medicine
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
Reema Alabdullatif	King Saud University	Machine learning
Abdulwahab Alahmari	King Saud University	MRI, Alzheimer, hippocampus
FADHL ALAKWAA	MICHIGAN UNIVERSITY	drug discovery , drug repurposing
John Alam	EIP Pharma	Episodic Memory, Longitudinal Change
MERVE ALANYALI	UNIVERSITY OF WARWICK/THE ALAN TURING INSTITUTE	deep learning, convolutional neural nets, data science
Hezam Albaqami	University of western Australia	EEG signals, alzheimer disease, brain network
Eddy Albarran	Stanford University	AD, machine learning
Kimberly Albert	Vanderbilt University Medical Center	subjective cognition, attention
Daniel Albrecht	University of Southern California	Amyloid, tau, CSF, blood
Jack Albright	Nueva School	Machine Learning, Student, TADPOLE
Sarael Alcauter	Instituto de Neurobiología UNAM	sulcal width, Alzheimer,
Thomas Alderson	Ulster University	thalamo-cortical modelling DTI
Ahmed ALGendy	HTI	CT,MIR,Alzheimer
nawaf alharbi	university of southern california	deep learning , cnn, rnn
sana ali	uet	machine learning classification alzheimer
SHABBIR ALI	RYERSON UNIVERSITY	Health, Crime
Sanam Ali	Sunnybrook Research Institute	rsfMRI; preprocessing optimization
muhaddisa ali	Chalmers University	Preprocessing, FSL, Deep learning, classification
Shahzad Ali	University of Engineering & Technology, Lahore, Pakistan	MS Project Analysis
Rizwan Ali	Comsats University, Abbottabad campus	alzeimer, machine learning, epistasis
babar ali	uet lahore	cnn dataset
Raza Ali	Xinjiang University	Deep learning Convolutional Neural networks
Mohd Hanafi Ali	The University of Sydney	Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
Ali Kevin Ali Kevin	Lanzhou University	predict Alzheimer's disease
Adriel Alejandro Aliaga Benavides	Granma University	classification, brain images,neurosciences
shirin alimoradian	Islamic Azad Science and Research university	arsh
IBRAHIM ALIYU	CHONNAM NATIONAL UNIVERSITY	Alzheimer's, Big Data, cloud-based, EEG, Machine learning
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
Luz Maria Alliende	Pontificia Universidad Catolica de Chile	cognitive reserve, brain imaging
HANANE ALLIOUI	Cadi Ayyad University	alzheimer, brain , MRI, dicom
Ina Almdahl	Oslo University Hospital	Cerebrospinal fluid Amyloid Depression
Kílvia Almeida	UECE	Research, Bachelor's thesis
Hannes Almgren	Ghent University	Effective connectivity, structural connectivity, cognition
Saif Aldeen AlRyalat	University of Jordan	Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Majd Alsado	University of Alberta	practice, personal
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
shaimaa altaay	University of Baghdad	Alzheimer/MRI
Tooba Altaf	Private	Alzheimer
Lujain AlTamimi	University of Minnesota	AD Cause
Andre Altmann	University Collage London	Imaging Genetics, Next Generation Sequencing
Michael Alummoottil	University of Cape Town	classifier, GAN, data augmentation, Biomedical engineering
Michelle Alva	St. Francis Institute of Technology	MRI, PET, AD, MCI
Alfredo Alvarez Solis	IBM	Alzheimer
Jennifer Alvén	Chalmers University of Technology	Spatial normalization, deep learning, tau PET imaging
FATIMA ALZAABI	The University of Manchester	Alzheimer
Miguel Amador	Tecnico Lisboa	Alzheimer, Biomarker, Connectome
Yahyah Aman	University of Oslo	Alzheimer’s disease, mitophagy, biomarkers
Robert Amaral	Douglas Mental Health University Institute	hippocampus, white matter, Alzheimer's disease
SAI SANTOSH AMBATI	NITK SURATHKAL	Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
Ambaw Ambaw	George Washington University	Stacked Autoencoder, Convolution Neural Networks
ACHAIBOU Amina	Ecole national polytechnique d'alger	TEP , detection , neurodegenrative deseas
Ala Amini	Duke University	MRI training examples
Nicola Amoroso	Università degli studi di Bari	Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
ZAREEN AMTUL	Independent Rsearcher	Alzheimer's disease, diagnosis
Yu An	Capital Medical University	meta-analysis, CSF AD-type biomarkers, original data
Jennie An	Washington University in St. Louis	Independent component Analysis
Jaehoon An	Seoul National University	GWAS, imageGWAS
ana ana	CIIT	dataset
Vikas Kumar Anand	Indian Institute of Technology Madras	Medical Image Analysis, Deep Learning, Radiogenomics, Radiomics
Krishna Anand	XPRIZE Foundation	Alzheimers
Raj Anantharaman	University of Missouri Kansas City	Deep learning, CNN, Classification
Essa Anas	Anas	machine learning
Athanasios Anastasiou	Swansea University	Electronic Health Records, Data Modeling
Gholamreza Anbarjafari	University of Tartu	Alzheimer disease, statistical analysis, deep learning, super resolution
Gholamreza Anbarjafari	University of Tartu	Machine Learning, Alzheimer's disease, MRI scans
Sami Andberg	University of Eastern Finland	Alzheimer's disease, early detection, machine learning
Jeff Anderson	University of Utah	MRI, MCI
Loretta Anderson	Johns Hopkins School of Public Health	Alzheimer's Disease; Disease Progression; MCI; Biostatistics
Vesna Andova	Faculty of electrical engineering and IT	Alzheimer’s Disease, similarity measurement, image retrieval, data mining
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,
cucun angkoso	Institut Teknologi Sepuluh Nopember	feature reduction, deep belief net, alzheimer
Isabel Ann Wingert	Drexel University	image processing, Alzheimer's, matlab
henry ansah	knust	deep learning
Shahab Ansari	GIKI	automatic brain segmentation, Alzheimer's disease, machine learning
Manon Ansart	INSERM	multimodal, cognition, MRI, longitudinal, machine learnin
Lin Anshi	Shanghai Maritime University	alzheimer's disease
Ahmed Anter	Beni-suef University	Neurology, MCI, AD
Isadora Antoniano Villalobos	Bocconi University	Youden_index Nonparametric_inference covariate_specific_diagnosis
Augusto Antunes	MINER.IA	AI, Machine Learning, Inflammation, AD
Mazin Aouf	Western Sydney University	Medical Research Datasets
Li Yew Aow Yong	Universiti Teknologi Malaysia	classification
Kingkarn Aphiwatthanasumet	Naresuan University	MR image processing
Chatchawit Aporntewan	Chulalongkorn University	Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Kevin Appadoo	university of mauritius	Fractal
Dace Apsvalka	Medical Reseach Council	Hippocampus
Anza Aqeel	CEME, NUST	RNN, SVM,Alzheimer
Ghazal Arabidarrehdor	1994	Machine Learning, Alzheimer's, Dementia
Gilderlanio Araújo	Federal University of Pará	association networks, non-coding RNA, eQTL, population genomics
Mohammad ARBABYAZD	Institut de Neurosciences des Systèmes- INS	Alzheimer's disease
Mohammad Arbabyazd	INS	reconstruction, virtualisation
Derek Archer	University of Florida	diffusion MRI, tractography
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
Eider Arenaza-Urquijo	Mayo Clinic	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Emilia Arens	University Osnabrück	Classification
Eleni Aretouli	University of Deusto	intraindividual variability
Konstantinos Arfanakis	Illinois Institute of Technology	diffusion, DTI, registration
Christos Argyros	Imperial College London	Machine Learning, Predictions
Juan A. Arias	University of Santiago de Compostela	Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning
Franchesca Arias	University of Florida	cognitive reserve
SHIORI ARII	HEROZ	CT,Super-Resolution, Image Enhancement, Deep Learning
Ivan Arisi	Fondazione EBRI "Rita Levi-Montalcini"	Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
Magnolia Ariza-Nieto	epIAWELL LLC	epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Muhammad Ashfakur Rahman Arju	Daffodil International University	classification, agent, svm, tensorflow,
Steven Armentrout	Parabon Computation	MDR, epistatis, cloud computing
omri Armstrong	Tel Aviv University	Domain Adaptation
Nicole Armstrong	National Institute on Aging	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Matthias Arnold	Helmholtz Zentrum München	gaussian models, data integration, network analysis
Thomas Arnold	University of Pennsylvania	Cortical thickness, cortical atrophy
Salim Arslan	Imperial College London	machine learning, dementia, Alzheimer’s disease
Emilio Artacho-Perula	University of Castilla-La Mancha	Alzheimer, Euclidean distances, MRI
sai arthi	SSN Engineering College	Diagnosis, automated, early detection, Alzheimer's Disease
Christoph Arthofer	University of Nottingham	MR brain segmentation
Michael Arthur	University of Texas at Austin	Joydeep Ghosh
Eivind Arvesen	N/A	machine learning, deep learning, ai, neural networks
Zobair Arya	University of Oxford	Diagnosis, machine learning, temporal modelling, multi-modal analysis
Shiva Aryal	Institute of Medicine, Tribhuvan University Teaching Hospital	Medical doctor, researcher
Nibal Arzouni	USC	AD, Imaging genetics,
Hadis Asadi	Islamic azad university Central Tehran Branch	Medical radiation
farnaz asadifard	shahid beheshti university	AD fmri images
Maame Gyamfua Asante-Mensah	Skoltech	Neural Networks, Classification
Charubutr Asavaroengchai	A.I. Brain Co., Ltd	deep learning
Davud Asemani	MUSC	MRI structural analysis
Kamiar Asgari	USC	EEG time series, Abnormality detection, CPS, fractional dynamics
nina ash	amirkabir university	Alzheimer's Disease, PET, image processing
Tahir Ashad	harbin institute of technology	image processing,image analysis
Miriam Ashford	NCIRE	Clinical
Wes Ashford	Stanford	leptin, Alzheimer, blood, dementia
Abida Ashraf	GG post Graduate Collage No.1Abbotabad	Alzheimer
Azhaar Ashraf	Imperial College London	Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
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
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, Convolutional Neural Networks
Meltem ATAY	MIDDLE EAST TECHNICAL UNIVERSITY	Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
MIRUNA FLORENTINA ATES	MALTEPE UNIVERSITY	brain volumetry, Alzheimer disease, analyse, cognition
Taylor Atkinson	University of South Florida	MoCA, media, test exposure
Selamawet Workalemahu Atnafu	university of Bologna	Neurological disorder, Machine Learning, Alzheimer
Amani Atwi	American University of Beirut	Machine learning
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
Tibor Auer	Royal Holloway University of London	automatic analysis; dynamic connectivity; fmri; big-data
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
Justina Avila	Columbia University Medical Center	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Pedro Alejandro Avila Plaza	Universidad Piloto de Colombia	alzheimer
Daniel Felipe Avilán Caldas	Universidad Nacional de Colombia	DTI
Netanell Avisdris	Ichilov Hospital	superresolution
Netanell Avisdris	Ichilov Hospital	superresolution
Tzvi Aviv	AvivInnovation	caspase-6, app, tau,
Hifza Awan	University of Gujrat	123
Enes Ayan	Kırıkkale University	Alzheimer, Deep Learning, CNN, Medical Image Analysis
Yesim AYDIN SON	Middle East technical University	Data mining, Hybrid Methods, SVM-ID3
Matt Ayers	indiana university ADC	cognitive reserve
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
Deepak Nag Ayyala	Medical College of Georgia, Augusta University	time series; resting state; high dimensional inference;
Ebru Ayyurek	Namık kemal university	neuroscience
Cristian Azamar García	Universidad Autónoma Metropolitana	Alzheimer, Characterizing, database.
Tiago Azevedo	University of Cambridge	fmri mri clinical
HANI NAJIHAH AZIZ	University Tun Hussein Onn Malaysia	Alzheimer's Disease,Computer Aided Monitoring, Image processing,
Nasir Aziz	Leiden University Medical Center	body weight
Ahmadreza Azizi	VirginiaTech	Adversarial attack
Mohd Hafrizal Azmi	Universiti Putra Malaysia	AD Classification
Rekha B U	Visveswaraya Technological University	Machine learning, Artificial Intelligence, Alzheimer's disease
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)
Rosha Babapour Mofrad	VU medical center	NFL
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
JongTak Baek	korea university	deep learning
Steven Baete	NYU School of Medicine	Orientation Distribution Function analysis, Diffusion MRI
elnaz bagheri	tehran university	deep network+ alzheimer diseaes
nooshin bagheri	azad university	deep learning
fatemeh bahadoran	babol noshirvani university of technology	alzheimer neural network
Safa Bahri	University of Valenciennes	Classification, Deep Learning
weiling bai	Inner Mongolia University	123123
Ruxing Bai	GeneScience Pharmaceuticals	early diagnosis;artifical intelligence
Huiwen Bai	Dalian University of Technology	image classification
Geoffrey Baird	University of Washington, Seattle	Biomarkers
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
Nikolaj Bak	H. Lundbeck A/S	Progression, Segmentation
Paula Baker	Saint Mary's University of Minesota	dementia, Alzheimer's
Susan Baker	Janssen R&D	Diagonsis, Progression, Biomarkers
Arnold Bakker	Johns Hopkins University	Entorhinal Cortex
Ibtissam Bakkouri	FSA Ibn Zohr	CAD, AD, Machine Learning
Kavitha Bakshi	Ryerson	Medical Machine Learning
himanshu bal	dhole patil college of engineering	deep learning, brain networks
Akshaya Balamurugan	NUS	Deep Learning
Yacov Balash	Kaplan Medical Center	MRI, subcortical hyperintensities, Alzheimer’s disease, periventricular leukoara
Priya Balasubramanian	Cornell University	Iron, dementia, QSM
Nishandhini Balasundar	Rajalakshmi Engineering College	Alzheimer’s Disease, Magnetic Resonance Imaging, hippocampus
Luis Balderas Ruiz	University of Granada	Classification, Parkinson, MRI, Machine Learning
Dipankar Bandyopadhyay	Virginia Commonwealth University	DTI, tensor regression, spatial methods
ANWESHA BANERJEE	IIEST	CONNECTIVITY, EARLY DETECTION, BIOMARKER
Samprit Banerjee	Weill Medical College, Cornell University	predictive modeling, machine learning
ARIT BANERJEE	Columbia University Medical Center	Amyloid PET, MRI, Neuropsychological testing, Alzheimer's disease, longitudinal
Katherine Bangen	University of California, San Diego	vascular risk, cerebral blood flow, amyloid
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
Leonie Banning	Maastricht University	Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Deepika Bansal	The NorthCap University Gurugram	Machine Learning, Deep Learning, MRI Image
Rashmi Banthia	Harvard	Machine Learning Deep Learning
Owen Bao	SCUT	AD,MCI,PET,MRI
xu baohong	Hebei University of Technology	fMRI AD deep learning
Zhao Baoqi	Hangzhou Normal University	research, verify paper
Fernando Barajas	Universidad de Monterrey	ITK , MAPER , SEGMENTATION
Jed Barash	Soldiers' Home	Hippocampus, opioids, Alzheimer's
Eduardo Barbará	Universidad Autónoma Metropolitana (UAM)	image processing data analize
Robert Barber	University of North Texas Health Science Center	Alzheimer's disease genetics
Philip Barber	University of Calgary	stroke; TIA; brain atrophy; dementia
Lorenzo Barberis Canonico	Clemson University	machine learning
Javier Barbero	Universidad de Córdoba	Machine Learning, Volumetric imaging, Metaheuristics
Jordan Barbone	West Chester University	Independent, personal use
Adriano Barbosa da Silva	University of Luxembourg	AETIONOMY
Flavia Roberta Barbosa de Araujo	Federal University of Pernambuco	Machine Learning, Alzheimer, GWAS, Tools, SNPs
Mikayla Barea	Michigan State University	white matter, MCI, conversion, learning, memory, atrophy, volumetry, DTI
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	USC Stevens Neuroimaging and Informatics Institute	Quality Control, MRI
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
Matthew Barrett	University of Virginia School of Medicine	Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
vera barstad	University of Agder	Deep Learning, 3DCNN,pointcloud
Abdullah Baş	ERCIYES UNIVERSITY	dementia
Suryakanth Basavaraj	BMSITM	MRI,PET
SHAIK BASHEERA	NAGARJUNA UNIVERSITY	CNN
Abol Basher	Chosun University	Alzheimer
Rodrigo Basilio	IDOR	DNN Machine Learning
Wietske Bastiaansen	Erasmus University Medical Center Rotterdam	MEDICCS summer school
Debraj Basu	University of California Davis	life style, AD, diversity
Anirban Basu	University of Washington, Seattle	dementia progression, prediction, distributional statistics
Shubham Basu	VIT Chennai	Alzheimer's Disease
Arindam Basu	University of Canterbury	Alzheimer's Disease, TBI, Polygenic risk scores
Vishant Bata	Indian Institute of Technology,(BHU), Varanasi-India	PET Scans, Early Detection, Machine Learning
Eloi Batalla	Fundació Collserola	magnetic resonances, alzheimer's disease
malav bateriwala	CSIRO	Deep Learning, Segementation
Veeky Baths	Birla Institute of Technology & Sciences, K. K. Birla Goa Campus	Cognitive diseases, Computational Neurosciences
Mark Battle	GE Healthcare	Centiloid, PiB, imaging windows
Matthew Baucum	University of Tennessee Knoxville	machine learning, disease progression, time series
Roman Bauer	Newcastle University	computational neuroscience
Christian Baumgartner	ETH Zurich	medical image analysis, machine learning
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
Sergio Becerra	Neurological Associates of West Los Angeles	fMR, Resting, BOLD, Anatomical, ASL, DTI
Lino Becerra	Invicro	asl, cbf
Laurel Beckett	UC Davis	Biostatistics
Joanne Beer	University of Pittsburgh	prediction, statistics
Joanne Beer	University of Pennsylvania	data harmonization, longitudinal
Mirza Faisal Beg	Simon Fraser University	MR, LDDMM, segmentation, registration, statistical shape analysis
Zahra Beheshti	University of Toronto	Khordade7!
Iman Beheshti	CERVO Research Center, Mental Health University Institute of Quebec	estimation, brain age, MRI
Qumars Behfar	Cologne University hospital	Connectome
Hamid Behjat	Lund University	shape analysis, topological similarity, classification, early diagnosis
Christopher Beitel	University of California, San Francisco	Machine learning
Lynn Bekris	Cleveland Clinic Lerner Research Institute	apoe, tomm40
Victoria Belancio	Tulane University	genetic variation
Mahanand Belathur Suresh	Sri Jayachamarajendra College of Engineering	AD,MCI
Andrew Bell	University of Richmond	dementia
Maura Bellio	University College London	graphic user interface; MRI; disease progression models; neurodegenerative
Muktar Bello	University of Ilorin	DMRI,tracktohraphy,DTi
Tamara Belostotska	University of Hildesheim	Machine Learning, Deep Learning, Convolutional LSTM
Luis Beltran-Parrazal	Universidad Veracruzana	SVM-REF
Mikhail Belyaev	Skolkovo Institute of Science and Technology	disease progression, machine learning, data fusion
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
Achraf Ben-Hamadou	Digital Research Center of Sfax	Deep learning, Alzheimer statge detection
Lizeth Benavides	PUC	classiﬁcation, incomplete data, Alzheimer’s disease.
Camelia BENCHEQROUN	Georgetown University Medical Center	DICOM images
Andrew Bender	Michigan State University	diffusion MRI, machine learning, latent factors,
Marwa BenGhoul	Anadolu university	outlier, Semiparametric model, longitudinal
Thomas Bengtsson	UC-Berkeley	Amyloid PET
Andreana Benitez	Medical University of South Carolina	MoCA, Item Response Theory
Colleen Benjamin	Syneos Health	CCLS, ADNI, LABDATA
Bini Mariyam Benny	Rajagiri School Of Engineering And Technology ,Kakkanad	adni
Jacob Benoit	Medical College of Wisconsin	AD
Julia Benoit	University of Houston	Alzheimer's disease, clinical trial methods, prediction
Mariana Bento	university of calgary	machine learning, image features, dementia
Tammie Benzinger	Washington University	MRI
Paola Berchialla	University of Torino	Biostatistics, Machine Learning
Leander Berg	Heidelberg University	Studies, learning
Maurizio Bergamino	Laureate Psychiatric Clinic & Hospital	DTI; GQI; structural connectivity; prediction model
Matthias Berkes	York University	bilingualism aging executive function
Cam Bermudez	Vanderbilt University	MRI, cardiovasculr disease, clinical phenotypes
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
Mohamed Berrimi	University of Ferhat Abbas 1 , Faculty of sciences	Classification , Machine learning , deep learning, prediction
Laiss Bertola	Universidade Federal de Minas Gerais	Genetics, using ADNI data as a teaching example, Friday Harbor
Maxime Bertrait	Siemens Healthineers	Morphometry
Lars Bertram	University of Luebeck	GWAS, EMIF, QTL, PGS
Pierre Besson	Northwestern University	Deep learning, prediction, big data
John Best	University of British Columbia	forecasting, TADPOLE, regression-based prediction
Brianne Bettcher	University of Colorado Anschutz Medical Campus	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Tobey Betthauser	University of Wisconsin-Madison	PET, neuroimaging, processing
Marie Beurton-Aimar	UNIV BORDEAUX	Addiction, deep learning, MRI analysis
Erin Beveridge	Canon Medical Research Europe	Brain segmentation, neurodegenerative disease, machine learning
Peyman Beyranvand	Istanbul Technical University	reconstruction, deep learning, PET, SPECT
Pritha Bhabra	Ramdeobaba College of Engineering and Management	Alzheimer’s, detection, MRI scans, image processing
PRITI BHAGAT	KONERU LAKSHMAIAH EDUCATION FOUNDATION VADDESWARAM.	EEG, SVM,aLZHEIMER'S
Keshav Bhandari	Texas State University	semantic segmentation
Vinay Bhapkar	New York University	Computer vision research
Rohan Bharadwaj	University of Maryland	Deep Learning, Image Processing, Convolutional Neural Nets
DHRUV BHARGAVA	Manipal University Jaipur	3-D CNN ,Structural MRI
Kripanshu Bhargava	Brain Cradle AI	Deep Learning, Alzeimer Disease
Apoorva Bharthur Sanjay	Indiana University	Gene expression, early diagnosis, prediction
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
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
Chidansh Bhatt	FXPAL	multi-modal learning; deep learning;
Priya Bhatt	Oregon Health and Science University	gwas, alzheimer's disease, statistics
SATARUPA BHATTACHARJEE	UC DAVIS	Analyze, Statistics
Debanjali Bhattacharya	International Institute of Information Technology Bangalore	Texture, shape, volume
Khushboo Bhatua	Shri Ramdeobaba College of Engineering	Alzheimer disease
Suman Bhoi	National University of Singapore	Multi-modality, inferencing
Satyabrat Bhol	IIT Chicago	Alzheimers
Manish S Bhoopalam	National Institute of Technology,Surathkal, Karnataka	Generative Adversarial Network, CNN, FCN
Alauddin Bhuiyan	NYU School of Medicine	Machine learning, MRI, Socio-demographic parameters, Alzheimer's
Xin Bi	Northeastern University	brain network, machine learning
Xiaohong Bi	University of Texas Health Science Center at Houston	computational phenotyping
xuesheng bian	Xiamen University	Medical Image
SHIJIA BIAN	BIOGEN	alzheimer's; statistical analysis
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
Amen Bidani	IDeTiC	Alzheimer's, Machine Learning
Kelsey Biddle Biddle	Brigham & Women's Hospital	cognitive decline, marital status, amyloid-beta, preclinical AD
Matthew Bigelow	The Ohio State University	Alzheimer in early stages, prognosis, MRI
Ricardo Bigolin Lanfredi	University of Utah	Visual dataset explanation, regression, adversarial training
Murat Bilgel	National Institute on Aging	FDG, amyloid, DTI, MRI, atrophy, longitudinal
Julia Billington	Hidden Wings Nonprofit, Santa Barbara Cottage Hospital	pesticides, glyphosate, alzheimer's disease
Benjamin Billot	UCL	segmentation, volumetry analysis
Reem Bin Hezam	Dublin City University	dementia, modifiable risk factors
Marie-Abele Bind	HARVARD UNIVERSITY	Statistics
Ni Bingjie	Huazhong University of Science and Technology	alzheimer's disease
Yuan binke	Beijing Normal university	machine-learning, gray matter atrophy, functional connectome
Christopher Bird	Cleveland Clinic	freesurfer, machine learning
Colin Birkenbihl	Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI	AETIONOMY, statistical comparism, modeling, validation
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
David Bissig	OHSU	retina, ocular
Shameek Biswas	Celgene	genetics, progression, biomarkers, imaging
Ashis Kumer Biswas	University of Colorado Denver	Machine learning; deep learning; hybrid convolution neural network; image marker
David Bjelke	The Feinstein Institute for Medical Research	CMRglu, ROI
Sandra Black	Sunnybrook Research Institute	MRI Volumetry, Alzheimer disease progression
Vic Black	Beijing University of Chemical Technology	deeplearning, AD
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
Sergio Blanco Trejo	University of Seville	Algebraic topology
Toby Bloom	New York Genome Center	Alzheimers Disease, centenarians, Ashkenazi
Emma Bluemke	University of Oxford	healthy ageing, neural networks
Jenna Blujus	UWM	Alzheimer's disease
Dominik Blum	University Hospital Tuebingen	Parkinson, Cognition, FDG, denoising
Jan Krzysztof Blusztajn	Boston University School of Medicine	CSF, plasma, biomarkers
Andrew Boateng-Poku	University of Miami	Cognition, aging, brain, memory
dheeraj bobbili	Megeno S.A	WGS, array, hashing, PRS, stratification
Jason Bock	Medical Care Corporation	MCI, AD, longitudinal, prediction, bayesian modeling
Raviteja Bodla	Springboard	Deep learning
Michael Boedigheimer	Amgen	NFL
Katharina Boegl	Humboldt-Universität zu Berlin	Hippocampus
Susan Boehnke	Queen's University	CSF biomarkers, lumbar puncture
Ronald Boellaard	University Medical Center Groningen	Image methodology, quantification, processing, classification
Eric Boerwinkle	University of Texas Health Science Center at Houston	whole genome sequence
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
Sai Krishna Bollam	University of Illinois at Urbana-Champaign	multimodal, deep learning
Ranvit Bommineni	University of Illinois, Urbana Champaign	GAN MRI PET image translation
Borna Bonakdarpour	Northwestern University	Resting state fMRI, language network
sriharsha bondalapati	international institute of information technology	brain MRI data
sriharsha bondalapati	international institute of information technology	Alzhimers disease prediction
Luke Bonham	Johns Hopkins University	normal pressure hydrocephalus, Alzheimer's disease, mild cognitive impairment
Andrea Bonilla	UC Berkeley	research project
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
Dragos Bordescu	Polytechnic University of Bucharest	ALZHEIMER PREDICTIVE DETECTION
Jens Borgbjerg	Aarhus University Hospital	MRI, dementia, rating scales
arman boroun	mums	fmri
Paolo Bosco	INFN	Alzheimer's Disease, network analyses
Zoran Bosnić	University of Ljubljana	Alzheimer; data mining; computer science; decision support
Nicholas Bott	University of California San Francisco	cognitive aging; structural imaging; inflammation
Rachid Bouamrane	Université des Sciences et de la Technologie d'Oran	large complex systems, feature extraction, very large networks
Reguieg Bouchra	istanbul technical university	brain network
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
Khaled Bousabarah	Universityt Hospital Cologne	deep learning, atlas based segmentation
abdelmajid bousselhalm	ENSET	MRI, dti
souha bousselmi	faculty of sciences of tunis	irm, recognition, sobell filter ,
Jose Bouza	University of Florida	Artificial Intelligence Neural Network
Emily Bove	Cogstate	Cogstate
Hamidreza Boveiri	Shiraz University of Technology	medical image registration; deep neural networks
Mark Bowren	University of Iowa	lesion method, neuropsychology, structural equation modeling
Christina Boyle	USC/IGC	Alzheimers, Aging, MRI
Cem Bozkus	UTD	ML, Alzheimers, diagnosis, prevention, early diagnosis
Andrea Bozoki	Michigan State University	FDG-PET; PIB-PET; Alzheimer's disease
Nicholas Bradfield	St Vincent's Hospital Melbourne	Mild cognitive impairment; neuropsychology; memory
Jelena Bradic	UCSD	lasso, testing, confidence intervals, p-values
Tyler Bradshaw	University of Wisconsin	attenuation correction
Larissa Braga	West Virginia University	Safety, adherence
Joana Braga Pereira	Karolinska Institute	CSF, MRI
Abdelbasset BRAHIM	IMT atlantique	Alzhzeimer's disease, machine learning, image processing
Lodewijk Brand	Colorado School of Mines	haploview, plink
Jose Bras	UCL, Institute of Neurology	Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie	USC	inflammation
Guilherme Braz	Harvard	alzheimers disease
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
alison brie	DLUT China	medical image registration
Danielle Briggs	Brigham and Women's Hospital	ADNI 3, LONI, coordinator
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
Robert Brown	McGill University	Brain extraction; Deep learning
Matthew Brown	University of Alberta	machine learning, diagnosis, prognosis, biomarkers
Sam Brown	University of Exeter	DTI, dementia
Iva Brunec	University of Toronto	Hippocampus, Memory decline, fMRI
Natalie Brunette	Massachusetts General Hospital	Alzheimer's, biomarkers, early diagnosis
Irene Brusini	KTH Royal Institute of Technology	Structural MRI, segmentation, deep learning, shape analysis
Arne Brys	icometrix	EUROPOND EBM
Antoni Brzoska	Neurogazer	validation, machine learning
Giovanna Bubbico	ITAB, Institute for Advanced Biomedical Technologies	DTI bilingualism normal aging
OMONIGHO BUBU	UNIVERSITY OF SOUTH FLORIDA	sleep deprivation, Alzheimer's Disease, beta-amyloid
Hans-Georg Buchholz	University Medical Center	NEUROSTAT, SPM12
MAGDA BUCHOLC	University of Ulster	dementia; Alzheimer’s disease; cognitive impairment; clinical decision support
Bradley Buchsbaum	Baycrest Centre for Geriatric Care	fMRI PET correlation
Katharina Buck	Roche Diagnostics	Elecsys CSF Measurements
Hudson Buck	Santa Casa de Sao Paulo School of Medical Sciences	Alzheimer, diabetes, hypertension, chronic diseases
Virginia Buckles	Washington University in St. Louis	DIAN ADNI
Rachel Buckley	Massachusetts General Hospital/Harvard Medical School	subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Gabriel Bucur	Radboud University Nijmegen	causal inference, Mendelian randomization, Robust estimation, Bayesian inference
Charley Budgeon	University Of Western Australia	Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Pranav Budhwant	PICT	Glucose PET Scans, Alzheimer's detection, Deep Convolutional Networks, AI, ML
Minh Bui	Thuy Loi University	Minh Bui
Fahad Bukhari	Karachi Institute of Economics and Technology	Help the Alzheimer's patient
Sayed Ali Raza Shah Bukhari	Jamil ur Rahman Ceter for Genome Research	Mitochondrial Genomes, Alzheimers
Nikola Bulatovic	University of Montenegro	deep neural networks, convolutional neural networks, classification
Ömer Faruk Bulut	Sakarya Unıversıty	Research
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
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
P. Monroe Butler	University of California San Francisco	Hippocampus, history of opiate exposure, ApoE
Markus Butz-Ostendorf	Biomax Informatics	Big Data, semantic data integration, multimodal brain imaging, AD
Punith BV	Siemens Healthineers India	brain segmentation
Seul Kee Byeon	Mayo Clinic	machine learning analysis
DeAnnah Byrd	Wayne State University	Cognitive reserve
Jiyoung Byun	KAIST	Alzheimer's disease
Adith C	Amrita	ADBI
Tabish C	Mcgill	DTI, Fiber Tracts
Nagarathna C R	Dsatm	Mri, pet scan, eeg
BLESSY C SIMON	RAJAGIRI SCHOOL OF ENGINEERING AND TECHNOLOGY	ALZHEIRMER'S, DEEP LEARNING
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.
Chunting Cai	Xiamen Univeersity	cct724724
Shuxiu Cai	Shenzhen University	deep learning
Xiaoqing Cai	Cornell University	Alzheimer, prediction, machine learning
Fanco Cai	College of Computer Science and Technology,	longitudinal datasets, learning manifold trajectories
Zhengting Cai	HYHY	jety2858
erik cai	wenzhou university	multimodal neuroimaging
Xiaoying Cai	First affiliated hospital of SUN YAT-Sen university	mild cognitive impairment, surgery, Alzheimer's Disease
Ismael Calandri	FUNDACION PARA LA LUCHA CONTRA LAS ENFERMEDADES NEUROLOGICAS DE LA INFANCIA (FLE	Subtle Cognitive Impairment Biomarkers Predictors
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
Monica Camacho	UCSF	alzheimer's
Aldo Camargo	University of Liège	Perfusion MRI, cognition changes
David Campbell	University of Auckland	epidemiological student project
Hande Can	New York University Medical School	Seasonal plasticity, biomarkers, Alzheimer disease,
Anna Canal Garcia	Kungliga Tekniska Högskolan	MRI, biomarkers, alzheimer
Juan Sebastian Cañas Silva	Universidad Nacional de Colombia	Tractography
Samuele Cancellieri	University of Verona	Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS
Sema Candemir	The Ohio State University Wexner Medical Center	computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P
Christian Candler	Belmont University	imaging, genetics, confirmation
Zeynep Cantemir	Gazi University	Alzheimer diagnosis, deep learning, image classification
Jose L. Cantero	Pablo de Olavide University	sleep2019
Lingcan Cao	Xi'an Jiaotong University	brain network dynamics, default mode network
Chunzheng Cao	Nanjing University of Information Science and Technology	Statistical learning, classification, functional data analysis
FUDE CAO	Shandong Institute of Commerce & Technology	Brain image analysis, prediction of alzheimer's disease
Yan Cao	University of Texas at Dallas	image analysis
Bo Cao	University of Texas Health Science Center at Houston	Machine learning
Qi Cao	Rensselaer Polytechnic Institute	Dynamical Systems， Time Serious
Guanqun Cao	Auburn University	functional data, ADNI
Shuman Cao	Xuan Wu Hospital, Capital Medical University	54_Feliz
Jiguo Cao	Simon Fraser University	brain network, QTL mapping
DANIEL CAPON	BLOOD SYSTEMS RESEARCH INSTITUTE	protein engineering, antibodies, amyloid beta, biomarker
Michael Carbenia	Zspace	education
filippo carducci	university of rome	PET AD
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
Gustavo Carneiro	University of Adelaide	automatic discovery of biomarkers, deep learning, machine learning
Caio Carneloz	UNESP	Alzheimer, Machine Learning, Feature Extraction
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
Carmen Carrion	Yale Medicine	Cognitive Reserve, Racial/Ethnic Diversity in Cognitive Aging
Luis Cartagena	USP	Body, electrical, sensor
Greg Carter	The Jackson Laboratory	epistasis, pleiotropy, genetic association
Emily Carvajal	Universidad del Valle	preprocessing, standarization
Janessa Carvalho	Brown University	Friday Harbor
Vítor Carvalho	IF SUDESTE MG	MRI Image, Machine-learning, Alzheimer's Disease
Francesco Paolo Casale	Microsoft	GWAS, images, statistical testing, multi-trait
Adrià Casamitjana	Universitat Politència de Catalunya	PhD, machine learning, bioengineering, early stage of AD
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
Mac Gayver Castro	University Center Christus	Alzheimer disease, imaging, algorithms
JUAN ANTONIO CASTRO SILVA	UNIVERSIDAD DE SALAMANCA	medical image analysis, alzheimer's disease
Iván Catalinas	Universidad Politécnica de Madrid	Alzheimer
Kim Cates	Seton Hall University	Alzheimer's, neural networks, MRI, machine learning
Michelle Caunca	University of Miami Miller School of Medicine	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Michele Cavallari	Brigham and Women's Hospital, Harvard Medical School	amyloid, perivascular spaces, glymphatic
Enrica Cavedo	Qynapse	hippocampus
Bernardo Cecchetto	Universidade Federal de Ciências da Saúde de Porto Alegre	h9cd5ber
Nira Cedres	Karolinska Institutet	Alzheimers Disease
Vanessa Ceja	University of California, Riverside	Scan quality analysis, Clinical MRI, Computational Neuroscience
Marina Célestine	MIRCen - CEA	Lesion and cognitive analysis, multimodal study
Jade Centeno Amandio	PUCRS	research
Diego CERPELLONI	Udacity	Udacity Machine Learning
Ricardo Cerri	Federal University of Sao Carlos	machine learning, SNPs, Alzheimer Disease
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
Jiook Cha	Columbia University	deep learning, artificial intelligence,
Satish Chada	Pulmonary Services of North Texas	Machine Learning, Artificial Intelligence, MCI, AD, COPD
Tanvi Chadaga	RVCE	brain tumour
Yaqiong Chai	CHLA	deep learning reconstruction
Wai Ho Chak	CUHK	Teichmuller metric, 3D shape analysis
SABYASACHI CHAKRABORTY	Inje University	Alzheimer, Parkinson
Daniel Chalupa	Brno University of Technology	Pharmacokinetic Modeling, Multiple Classifier Systems
Jordan Chamberlain	The Pennsylvania State University	ADNI3 advanced diffusion, Siemens Advanced Prisma VE11C
David Chamorro	Neurognos	Alzheimer, Diagnosis
Harshil Champaneria	Arizona State University	Research Project on Deep Learning
Dennis Chan	Dougherty Valley High School	Machine Learning, Alzheimer
Christina Chan	Michigan State Univ.	NCI-DREAM 8.5
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
Anjali Chandra	NIT RAIPUR	DETECTION
Paramanand Chandramouli	University of Siegen	image enhancement, denoising, super-resolution
Minyu Chang	Cornell University	Fuzzy-trace theory; factor analysis
Catie Chang	National Institutes of Health	resting-state fMRI, spontaneous activity, dynamics
Yu-Chuan Chang	National Taiwan University	Alzheimer, Data Mining
Changgee Chang	University of Pennsylvania	integrative analysis, multi-task learning
Qi Chang	Rutgers University	machine learning
Benson Chang	National Chiao Tung University	Alzheimer's,MRI,CNN
Wan Jou CHANG	British Columbia Institute of Technology	Machine learning, kNN, classification, features engineering
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	Computational biology
Hui-Ming Chang	Chung Shan Medical University	VBM/AD
Yu-Ming Chang	Beth Israel Deaconess Medical Center/Harvard Medical School	Alzheimer's, temporal horn, ventricle
wu changfeng	Anhui University China	for study
huang changzeng	Wuhan university	hcz19960301
Li Chao	Beijing Jiaotong University	Incompletion Multi-model Data learning,Missing Data Completion
Arnaud Charil	Eli Lilly and Company	MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Danai Chasioti	IUPUI	polygenic, alzheimer's
Subarna Chatterjee	Ramaiah University of Applied Sciences	MRI, fMRI, PET, Genome dataset
Soumick Chatterjee	Otto von Guericke University Magdeburg	Deep Learning
Pratishtha Chatterjee	Macquarie University	plasma ferritin, serum ferritin, iron, brain amylid load
Riya Chatterjee	Monta Vista High School	Gyrification Index
Ankita Chatterjee	UC Berkeley	gyrification index
Ann Chau	HKU	ASL and amyloid
Wing Fung Chau	Cardiff University	Big Data, lipids and metabolites
Gaurav Chaudhary	M.S Ramaiah Institue Of Technology	alzeimer's , neural networks
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
Gal Chechik	Bar-Ilan University	Deep learning
Lovena Chedumbarum Pillay	University of Oxford	MCI, AD, Predictive Analytics, Amyloid
Lovena Chedumbarum Pillay	University of Oxford	Machine Learning, Alzheimer's Disease, MRI, PET
Christel Chehoud	Janssen	Deep Learning
Karthikeyani Chellappa	University of Pennsylvania	Human and Mouse biomarker
kuan-ting CHEN	National Taiwan University	ADNI
Tianyi Chen	University of Sheffield	cj18954310106
Yicheng Chen	UCSF	Deep Learning
Tingting Chen	Zhejiang University	Co-Attention, Multi-modal Fusion, AD diagnosis
feiyan chen	zju	MR fMRI AI
Andrew Chen	University of Pennsylvania	penalized, CCA, CIA, integrative analysis
Anthony Chen	McGill University; Douglas Mental Health University Institute	Machine Learning, Data Driven, Clinical Prediction
anqi chen	Hangzhou Dianzi University	learning
Dingfan Chen	max planck institute for informatics	Anomaly detection, deep generative model
Sherry Chen	The University of Sydney	Frontotemporal dementia, longitudinal, neural correlates, cognition
Jason Chen	University of California, Los Angeles	Network analysis, TBM, personalized medicine
Timothy Chen	University of Chicago	model, predict, Alzheimer's disease
jiayu Chen	ETHz	visual feature attribution; MRI, AD
LI-HO CHEN	NYMU	leochen012121
Yizhou Chen	Zhejiang University of Technology	CycleGAN，synthesis
jing chen	pennsylvannia state university	arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Chunling Chen	Harbin Engineering University	Alzheimor
Kevin Chen	Stanford University	multimodal imaging, image post-processing, spatial resolution
Ting-Huei Chen	Laval University	structural equation modeling
Ming-Hui Chen	University of Connecticut	Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Haifeng Chen	Affiliated Drum Tower Hospital, Nanjing University Medical School	memorry function; rTMS; multimodal neuroimaging
Kerwin Chen	Acer	MRI, MMSE
Yating Chen	Wenzhou Medical University	segmentation
XIAO CHEN	复旦大学	Medical Image Analysis
Jinxin Chen	Chengdu University of TCM	alzheimer，sleep disorders，fMRI
Rong Chen	University of Maryland School of Medicine	machine learning
Irene Chen	MIT	machine learning, subtypes, disease progression
bin chen	University of Houston	deep learning,predict
Xu Chen	University of North Carolina	MRI segmentation
Chen Chen	Arizona State University	graph mining
Hannah Chen	Massachusetts General Hospital	Alzheimer's disease, machine learning, deep learning, big data
Liang Chen	University of Macau	miRNA, biomarker
Xi Chen	New York University School of Medicine/Medical Center (SSO)	Alzheimer APOE progression
Gang Chen	Medical College of Wisconsin	fMRI, MRI
Buxian Chen	Sun Yat-sen University	study a paper, ADNI
Yuanyuan Chen	NorthWestern Polytechnical University	Chen191520
yan chen	DLU	ADNI
Xin Chen	University of Nottingham	Longitudinal image feature extraction; disease diagnosis.
Jiu Chen	Nanjing Medical University	AD, aMCI, DTI, sMRI, fMRI
Mayun Chen	The First Affiliated Hospital of Wenzhou Medical University	Smoking; Verbal memory; Hippocampal volume; Glucose metabolism; β-amyloid; Tau.
jing chen	Pennsylvannia State University	arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Yin Jie Chen	University of Pennsylvania Perelman School of Medicine	Alzheimer's disease, multimodality, longitudinal
Chunling Chen	Harbin Engineering University	Alzheimer's disease
Wei-Jie Chen	zhejiang university of technology	multi-task learning; feature selection; support vector machine; data anaylsis
Bo Chen	Fudan University	Graph theory, mental illness
Yuqiao Chen	University of Texas at Dallas	relational continuous model
Frank Chen	Nanjing University	Alzheimer's disease MRI gene environment
Johann Chen	Accura Science	network analysis, AD, GWAS
Quan Chen	Shanghai Jiaotong University	quantitative t1w t2w
Sophie Chen	Beijing University of Technology	fMRI classification
Fang Chen	jackson state university	image deep learning Alzheimer's
Shirui Chen	University of Wisconsin, Madison	geodesic shooting, image registration
yun chen	mcgill university	images segmentation
Beichen Chen	Royal Institute of Technology	machine learning
Ing-jou Chen	Chang Gung University	AV-45, PET, AD, PCA, SVM
Jingyun Chen	NYU School of Medicine	PET, Tau, Abeta, normalization
Yong Chen	University of Pennsylvania	neurological diseases, MRI, PET, multi-source data analysis, biomarker
Bingxu Chen	UCSD	Image Co-registration
Ying-Hsiang Chen	Bioinfotronics Research Center	Intelligent, cloud computing, infrastructure
xiangxin chen	XMU	SVM，PSO，Classification，Optimization
Ian Chen	UTS	MRI analysis; CNN; Alzheimer’s Disease; Disease Degression modeling
shuomei chen	Anhui Jianzhu University	deep learning
Xiaozheng Chen	Xiamen University	neuroimaging, dynamic functional connectivity, deep learning,
Tao Chen	Wuhan University	Alzheimer’s Disease, visual features, MRI
Xu Cheng	East China Normal University	Medical image registration
Wai Ho CHENG	The Hong Kong Polytechnic University	AD and mild cognitive impairment
Pujin Cheng	SUSTech	research with Machine Learning
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
Jing Cheng	southwest University in China	brain network, fMRI, AD
Hewei Cheng	School of Informatics	AD, MCI, fMRI, DTI, MRI
CHAO-WEI CHENG	National Taiwan University of Science and Technology	Generative Adversarial Networks, Deep learning, disease diagnosis
CongCong CHENG	Zheng Zhou University	watermarking
Shih-Chun Cheng	Chang Gung Memorial Hospital	Deep learning
xiaoqin Cheng	Zhongshan hopsital, Fudan University	AD,high heterogeneity, rapid progression
Shih-Chun Cheng	Chang Gung Memorial Hospital	Deep learning
Ruida Cheng	NIH	brain segmentation and classification
Yang Cheng	University of Shanghai for Science and Technology	DTI
Tanya Chenhall	Cogstate	Cogstate
chenpeng chenpeng	The First Affiliated Hospital of Guangxi Medical University	ASL,fMRI,Cognitive impairment
Du Chenping	Sun Yat-sen University	data
Bo Cheon	Samsung Medical Center	Tau and amyloid image
Bo Cheon	Samsung Medical Center	Tau
EUNJEONG CHEON	Daegu university	dementia, biomarker
Venkateswararao Cherukuri	PENNSTATE UNIVERSITY	Super resolution
Anthony Chesebro	Columbia University	Network Model, Alzheimer's
Eva Cheung	University of HK	MRI PET AD MCI
Mark Cheung	Carnegie Mellon University	graph neural network, Spectral theory, neuroimage
Aparna Chhibber	Merck Research Labs	biomarker genetic
Gloria Chiang	UCSF	DTI
Agostino Chiaravalloti	University Tor Vergata	Alzheimer; functional imaging; PET
Yuhei Chiba	Yokohama City University	Immunoogy autoantibody MRI
Patrizia Chiesa	ICM	rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Andreina Chietera	Thales	Research; DeepLearning, Alzhaimer, Dementia
Makoto Chikaraishi	Hiroshima University	Transportation
Junichi Chikazoe	National Institute for Physiological Sciences	fmri
Geetha Soujanya Chilla	A*STAR	Segmentation
Cherise Chin Fatt	University of Texas at Dallas	dissertation, fcMRI, cortical thicknes
Andrea Chincarini	INFN	longitudinal studies, MCI, network, atrophy measurements
Vernon Chinchilli	Penn State College of Medicine	GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS,
Christopher Ching	UCLA	Urgent request for access
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)
Soo Hyun Cho	Sam Sung Medical Center	Amyloid PET
SangYeon Cho	Medical school, Chungnam national university	DEMENTIA
Jung Cho	CAIDE SYSTEMS, INC.	deformable medical image registration
HANNA CHO	GANGNAM SEVERANCE HOSPITAL	biomarker, imaging, alzheimer's disease
Dong Ho Cho	Korea Advanced Institute of Science and Technology (KAIST)	Machine Learning, Biomarker, Classification, Diagnostic
Donghoon Cho	Kyungpook National University	Deep Learning, Diagnostic , Korea
Young Min Choe	Dongtan Sacred Heart Hospital	Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
Eun Kyung Choe	Seoul National University Hospital	adni7677
Kihoon Choi	Hanyang university	Imaging genomics, GWAS
James Choi	Sabio Research	Alzheimer Machine Learning Neural Networks
Hongyoon Choi	Cheonansi Public Health Center	Metabolic network, FDG, Amyloid
Seo-Eun Choi	University of Washington	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Yong-Ho Choi	hanyang university	Imaging genetics
JiHye Choi	Keimyung University	bio
Woo Hee Choi	College of Medicine, The Catholic University of Korea	striatum, amyloid PET, tau PET
juyeon choi	kbri	protein fragile X
Yu Yong Choi	Chosun University Hospital	ethnic differences, normal aging
Wooyeol Choi	KAIST, Republic of KOREA	MCI, Graph theory
David Choi	ITBA	ICA, Alzeimer,
Kyu Sung Choi	Korea Advanced Institute of Science and Technology (KAIST)	follow-up
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
PO-HAN CHOU	Harvard T.H. Chan School of Public Health	cortical thickness, brain asymmetry
Elizabeth Chou	National Chengchi University, Taiwan	machine learning, dimension reduction, similarity measure, classification
Harsh Choubey	Galgotias University	Detection of alzheimer's disease, MR Images, Brain
Amit Choudhari	Tata Memorial Hospital	dti
Ramesh Choudhary	vimeet	ADNI
Ankur Choudhary	ASET, Amity University Uttar Pradesh	Alzheimer
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
Heiman Chow	HKUST	Glucose, AD, Risk
Samadrita Chowdhury	University of Massachusetts,Lowell	Graphs, CNN, PET, FMRI
TAPAN CHOWDHURY	Techno India	disease
Lucille Chrétien	ENS de Lyon	diabetes
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
Hui-May Chu	Anoixis	AD patients
michelle chua	Melbourne Heath	alzheimers
Kai-Hsiang Chuang	University of Queensland	CBF, basal forebrain, functional connectivity
Jerold Chun	Sanford Burnham Prebys Medical Discovery Institute	Alzheimer, Downs, Multiple Sclerosis, Frontotemporal, Parkinson, ALS
Timothy Chun	Veteran's Affairs	Machine Learning
Jaeyoon Chung	Boston University School of Medicine	GWAS CSVD stroke ICH
Ming-Hua Chung	Radiologics	resting state fMRI DICOM
Ai Chung	King's College London	genetics graph network
Hyun Jy Chung	Stony Brook University	FWER
se-yeon chung	chosun university	Alzheimer
Wan Chuyu	University	graduation thesis
Darya Chyzhyk	Inria	connectome, functional connectivity
Nicholas Ciancio	UAB	hypertension, impairment, antihypertensives
Filippo Cieri	Cleveland Clinic	resting state; entropy; mci; cognitive reserve.
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
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
Oliver Cliff	University of Sydney	Information theory, information dynamics, alzheimer's disease
Martin Cloutier	Analysis Group	Agitation, Alzheimer's, Economic burden
David Clunie	PixelMed Publishing and RadPharm, Inc	DICOM compression
Daniel Clymer	Carnegie Mellon University	Deep Learning, Medical Imaging, MRI
Bernard Cobbinah	University of Electronics Science and Technology of China	Convolutional Neural Networks
Yann Cobigo	Unversity of California San Francisco	Dementia, Normal Aging
Leandro Coelho	Pontifical Catholic University of Parana	machine learning, fMRI, deep learning.
Hugo Cogo-Moreira	Universidade Federal de Sao Paulo	Dynamic structural Equation modeling, latent variable, multilevel analysis
liz cohen	Tel-Aviv university	GAN
Brett Cohen	King's College London	MCI, MRI, phantom
Michael Cole	Rutgers University-Newark	cognitive control, resting state
James Cole	Imperial College London	Aging, Machine learning, T1, DTI
Daniel Coll	Open University of Catalonia	Alzheimer disease, Magnetic resonance imaging, Convolutional neural network
Diego Collazos-Huertas	Universidad Nacional de Colombia sede Manizales	Deep Learning, Convolutional Neural Networks, Data Representation
Jeanette Collette	Commack High School	CNN, Alzheimer's Disease, machine learning, MRI
Patrick Colletti	USC	Dementia; FDG PET; MRI volumetry
Meghan Collier	Brown University	cognitive, Trails B, predictors, dementia, AD, biomarkers
Joanna Collingwood	University of Warwick	Biomarkers Across Neurodegenerative Diseases Collingwood
Kimberly Collins	Indiana University School of Medicine	biomarkers, predementia, neurodegenerative diseases
Ragnor Comerford	University of Edinburgh	deep learning; machine learning; Alzheimers Disease; Mild Cognitive Impairment
Robert Comley	Abbvie inc	PET, MRI
Lin Cong	University of California, Riverside	longitudinal analysis
Zhen Cong	Dalian University of Technology	Image Translation
Shan Cong	Purdue University	hippocampus, AD, MCI
Andrew Conklin	Origent Data Sciences	Machine Learning, Classification and Regression Modeling
Emily Connelly	UCSF	drug repositioning, APOE
Joanne Conover	University of Connecticut	Aging, Alzheimer's disease, MRI, FLAIR-MRI
Devanie Coombs	Belmont University	Honors Thesis
Shanna Cooper	VA San Diego / UC San Diego	NPI, family history
Shanna Cooper	UCSD	tau, NPS, cognition
Pascal Coorevits	The European Institute for Innovation through Health Data (i~HD)	data quality assessment tools
Giovanni Coppola	UCLA	genetic genomic biomarkers
fabian Corlier	University of Southern California	systemic inflammation, covariance structure analysis, brain structural integrity
Daniele Corradini	University of Bologna	CNN, Python, Neuroimaging
Rodolfo Correia	University of Sao Paulo	late life depression, mild cognitive impairment
Nicole Corso	Stanford University	default mode networks, networks, imaging
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
Li Courins	China	Segmentation and Registration
Elizabeth Couser	University of Maryland, Baltimore	imaging, Alzheimer's
Baptiste Couvy-Duchesne	Institute of Molecular Bioscience	Advanced brain aging, prediction, structural MRI
Jiayi Cox	Boston University	forcasting, machine learning
Mackenize Cox	UNCW	mri, alzheimers, machine learning
Margarida Cpsta	Technical University of Munich	Medical image registration
Breanna Crane	Vanderbilt University	Atrophy, Connectivity, MCI
Paul Crane	University of Washington	genetics, example data set for learning, Friday Harbor
Karen Crawford	UCLA Laboratory of Neuro Imaging	None
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
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
Math Cuajungco	California State University Fullerton	Neuroscience
Pedro Cuenca	Universidad Rey Juan Carlos	alzheimer, nlp, speech analysis, deep learning, transfer learning, cross-domain
Chendi Cui	University of Pittsburgh	amyloid, tau, ApoE4
Menglong Cui	Yunnan University	medical images，diagnostic documents
Jing Cui	C4X discovery	sequencing
Qian Cui	Harbin Engineering University	Alzheimer's disease
JIANAN CUI	Massachusetts General Hospital	medical image processing
Dong Cui	Chinese Academy of Medical Sciences & Peking Union Medical College	Brain Network Hippocampus
Jiarong Cui	Renmin University of China	variable screening procedure
Jing Cui	Centre hospitalier universitaire vaudois	The Human Brain Project
Nicholas Cullen	University of Pennsylvania	NFL, CSF
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;
Manuel Curado	University of Alicante	Alzheimer analysis
Sean Curtin	IAM	Alzheimers vs. Healthy Brain Research
David Curtis	UCL	sequence variant DNA
W CW	Chang'an University	Image Processing Technology
Paul Cxa	DIT	study
Max Cynader	University of British Columbia	Alzheimer's Disease, machine learning, cognitive impairment risk
Marykutty Cyriac	Jerusalem College of Engineering	AD , hippocampus
Lucette Cysique	The University of New South Wales	PET network analyses
Surya D	NITC	brain connectivity, Kuramoto model, EEG, DTI
Arlene D'costa	None	Prediction,Accuracy,Deep Learning,Optimization
Leandro da Silva Sauer	Universidade Federal da Paraíba	cerebrovascular disease; cardiovascular disease; MCI; Alzheimer
Michael Dada	Federal University of Technology, Minna, Nigeria	Machine learning, MRI, ANN
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
Robert Dahnke	University Aarhus	gyrification
baiyun dai	china	AD，risk factors
Mengyu Dai	Florida State University	classification
Chengliang Dai	Imperial College London	Deep learning, Structural MRI
Shuang DAI	The University of Manchester	Classification, AD
Weiying Dai	Binghamton University	ASL and fMRI resting state and fMRI task
jiyulei dai	university of warwick	AD, CNN, modelling, classification
Shaopeng Dai	ICT	AD, diagnosis, machine learning
Ning Dai	University of Minnesota	regional homogeneity; fMRI data analysis; longitudinal
Xiongtao Dai	Iowa State University	Functional data, longitudinal data, manifold data
Heng Dai	Shenzhen Institutes of Advanced Technology	methylation, illumina microarray, AD pathway
Mohammed Dakna	University medical center Gö	statistical analysis
Raka Dalal	Biosight	Diagnostics, Machine Leaning, Deep Learning
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
Zinkert Daniel	Uva Wellassa University	Brain, Cortical Thickness
Ebenezer Daniel	University of California Los Angeles	MRI , fMRI, Machine Learning
Dominic Danks	University College London	SuStaIn disease progression modelling subtype stage inference neurodegenerative
Christian Dansereau	Perceiv Research, Inc.	Biomarker, progressors prediction, cognitive decline
Ryan Darby	BIDMC	cognitive reserve, executive, semantic, neuroimaging
Oscar Darias Plasencia	Universidad Internacional de La Rioja	Alzheimer, machine learning, artificial intelligence
Caroline Dartora	PUCRS	Brain Connectivity, Alzheimer's Disease, MRI, PET
Dulumani Das	Gauhati University	Image Processing . segmentation. MRI.
Kalyan Das	University of Calcutta	categorical,miscategorization, missing ness,
Ritankar Das	Indian Statistical Institute	Connectomics, Alzheimer's, Graph analysis, Image processing
Sandhitsu Das	University of Pennsylvania	hippocampus MCI
jessica dasari	texila american university	Diffusion tensor imaging
Hamed Dastouri	Azaruniv	Neuroscience , Cognitive Science
Aaron Daub	University of Washington	Dementia, Multiple Sclerosis, Segmentation, Deep Learning
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
Pranav Dave	Azilen Technology Pvt. Ltd.	Machine Learning, Alzheimer's Disease, Artificial Analysis
Amy Davila	Imperial College London	python machine learning
Andrew Davis	University of Bath	clinical progression
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
Renske de Boer	Quantib B.V.	evaluation, segmentation
Marleen de Bruijne	Erasmus Medical Center	image analysis
Fabrizio De Carli	National Research Council - Italy	Mild Cognitive Impairment; Alzheimer Disease; FDG-PET
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
IRENE DE LA CALLE POBRE	Technical University of Madrid	MCI, MRI
Siemon de Lange	University Medical Center Utrecht	connectome, structural connectivity, Alzheimer, MCI
Matteo De Marco	University of Sheffield	Alzheimer's disease, mild cognitive impairment, resting state
Steffi De Meyer	1996	Alzheimer, Mild Cognitive Impairment, Blood, Biomarkers
Melissa de Moraes Carvalho	University of Campinas	Classification,Deep Learning, Local Entropy
Dante De Nigris	Personal	machine learning, MRI, data-driven
Paulo Henrique de Oliveira Gomes	Federal University of Rio Grande do Sul	multimodal, classification, clusters
Micol de Ruvo	Philyra UG	Parkinson's, olfaction, machine learning
Eric de Silva	University College London	polygenic risk scores; cardiovascular disease
Selene De Sutter	Vrije Universiteit Brussel	MCI, AD, Deep Learning
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
William Deardorff	Duke University	statin, mild cognitive impairment
oussama debabeche	biskra universty	mri alzheimer
Charles DeCarli	University of California at Davis	MRI, cerebrovascular disease
Michael Decker	Case Western Reserve University	hypoxia, hyperoxia, neurodegeneration
Summer Decker	University of South Florida Morsani College of Medicine	morphometrics
Anthony DeCristofaro	Fairfield University	Alzheimer
Milan Decuyper	Ghent University	Deep Learning, Machine Learning, Medical Image Analysis
Brittany DeFeis	University of Florida	MCI, intervention, functional outcomes, clinical outcomes
Dante Degl'Innocenti	Datamantix	AD, MCI
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
paul delmar	F.Hoffmann-La Roche Ltd.	disease progression end-point clinical trial
Gaspar Delso	GE Healthcare	PET/MR
Andrew DeMarco	Georgetown University	functional connectivity
zeynep demir	University of California San Francisco	ADNI
Hasan Demirel	Eastern Mediterranean University	CNN, deep learning, Alzheimer's Disease Detection
Şükrü DEMİRHAS	SAKARYA UNİVERSTY	MCI AD NM
Andrew Dempsey	New York University	structural MRI harmonization
Tenzin Dendup	University of Canberra	machine learning
Denel Denel	Dalian University	wmh deep learning
DADA DENG	Sichuan university	medical image
Xia Deng	China	AD
ANNAN DENG	East China Normal University	Classification; elastic net; functional logistic regression; Haar wavelets; PCA;
Yanjia Deng	The Chinese University of Hong Kong	MRI, visual function, MCI, AD
Jin Deng	Shanghai Maritime University	Study
Rezwan Derakshan	urmia university	data mining
Mouna Derbel	CRNS	Alzheimer Graph CNN multi-modalities
Dakota Derry	University of Florida	Telomere length; cognitive function
Juhi Desai	In-Med Prognostics	Segmentation
Amit Desai	Mayo Clinic	Dementia, atrophy, cinematic rendering
pranav desai	scet	machine learning
Hemal Desai	St. Xaviers	Alzheimer
Hemal Desai	St. Xaviers College	Deep Learning
Heather Desaire	University of Kansas	MCI, AD, healthy control, classification
Vijay Deshpande	IIIT	Registration
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
Gabriel Devenyi	Douglas University Mental Health Institute, McGill University	MRI
Virginia Devi-Chou	Robert Wood Johnson Medical School	Neurodegeneration, Alzheimer's Disease, Biomarkers, Progression
Alyssa DeVito	Louisiana State University	Multi-state modeling, APOE, cognitive decline
Denise Dewald	University Hospitals Cleveland Medical Center	sleep apnea, soft palate, tongue position
Blake Dewey	Johns Hopkins University	mri, ct, synthesis
Raunak Dey	University Of Georgia	Skull scraping
Devendra Dhami	Indiana University	Alzheimer,MRI,prediction
sahana dhananjayan	UTD	FUZZY
Shravan Dhar	UVCE	Alzheimer
Moyez Dharsee	Ontario Cancer Biomarker Network	integration, analysis
eric dhillon	univ of toronto	MRI volumetric analysis regional cortical white matter
Ashish Dhumal	Vspace Software Solution	brain network, deep learning, early diagnosis, Alzheimer’s disease
Xin Di	University of medicine and dentistry of new jersey	connectivity, pet
Agostino Di Ciaccio	University of Rome 'La Sapienza'	deep learning, CNN, multi input NN
Francesco Di Lorenzo	University of Sussex	AD, functional conncectivity, ApoE, computational model, disease progression
Cristina Di Primio	Scuola Normale Superiore	MCI, AD, biomarkers
Mauricio Diaz	Inria	AD, Deep Learning
Valeria Diaz	University of Palermo	Alzheimer's Disease, Cognitive Impairment
Mirella Diaz-Santos	University of California, Los Angeles	Cognitive reserve, using ADNI data as teaching example, Psychometrics Workshop
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
Ousseynou Dieng	université de thiés	medical image analysis
Kersten Diers	German Center for Neurodegenerative Diseases	quality control; statistical modeling
Louis Dieumegarde	IUSMQ	Database
Yago Diez Donoso	Yamagata University	image registration, research
nassima dif	EEDIS Laboratory, Djillali Liabes University, Sidi Belabbes,	deep learning, medical images
HIMA DILEEP	COLLEGE OF ENGINEERING KARUNAGAPPALLY	ALZHEIMER'S DISEASE
Andrew DiLernia	University of Minnesota	clustering, functional connectivity
Xiuhua Ding	University of Kentucky	group based trajecotry model , dementia, sleep apnea
wenxiang ding	Shanghai Jiaotong university	Alzheimers Disease, image analysis
Xuetong Ding	Hebei University	alzheimer's disease
Yukun Ding	University of Notre Dame	MRI; DNN-based image processing
xt Ding	HeBei University	Alzheimer's disease
Xuemei Ding	Ulster University	Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Ivo Dinov	UCLA	Alzheimer's disease, statistics, shape
Nicola Dinsdale	University of Oxford	hippocampus machine learning
Valentin Dinu	Arizona State University	pathway analysis, complex phenotype, data mining, statistical analysis
Tiphaine Diot	Ecole de Technologie Superieure	Course project, CNN
Aleksandar Djuric	Robarts Research Institute	deep learning, segmentation
Iwona Dobler	Takeda Pharmaceuticals International Co.	biomarker
Vitaly Dobromyslin	University Of Massachusetts	Genetics, neuroimaging, biomarkers, machine learning
Shubham Dodia	National Institute of Technology Karnataka	Alzheimer, BCI, EEG, Machine learning, Deep learning
Alessandra Dodich	Hôpitaux Universitaires de Genève	Alzheimer's Disease; tau; cognitive reserve
Jusheb Doe	Daffodil International University	Subject-818
Merve Yusra Dogan	Istanbul Medipol University	functional connectivity, neuropsychological test, fMRI, big data
Semih Doğan	Engineering Faculty	Student,Exam
Berk Dogan	ETH Zurich	deep learning, latent space analysis
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
jaejune Dong	Yonsei University	prediction, neurodegenerative disease,
Yilan Dong	Northeastern University	brain network
liao dong	wuhandaxue	123555love
Zhengchao Dong	Columbia University	deep learning, MCI, AD, NC
Jian Dong	Harvard Medical School	Diffusion MRI, white matter, beta amyloid
Aimei Dong	QiLu University of Technology	Alzheimer's Disease Diagnosis, Analytical methods,predictive methods
Shuai Dong	University of Electronic Science and Technology of China, Zhongshan Institute	CapsNet
ZHANG DONG	Nanjing University of Science and Technology	Visualizing; CNN
Sen Dong	Ludwig Maximilian University of Munich	Deep Learning
Ganggang Dong	Xidian University	DIAGNOSTICS
Mei Dong	University of Saskatchewan	Bayes method, simulation
Qunxi Dong	Arizona State University	Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry
Guozhu DONG	Wright State University	Factor ranking considering interactions
YANG DONG	Yanshan Uniwersity	dti
Pei Dong	University of North Carolina at Chapel Hill	imaging biomarkers, groupwise image registration, efficient computation
Claire Donnat	Stanford University	statistics; connectomics; dMRI; fMRI
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
Lingraj Dora	VSSUT	brain tumor detection
Reuben Dorent	KCL	tissue segmentation machine learning
Jonadab Dos Santos Silva	Universidade Federal Fluminense	amyloid angiopathy, subcortical nuclei, dementia
Ray Dou	Nankai Hospital	study mri
haoran dou	shenzhen university	deep learning
N. Maritza Dowling	University of Wisconsin-Madison	Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Senan Doyle	Pixyl	PET, MRI, AI, Deep Learning
Andrew Doyle	McGill University	deep learning
Nicolas Doyon	Laval University	Aging, clustering algorithms
Sorin Draghici	Advaita	meta-analysis, data integration, subtype discovery
Daniel Drake	Columbia University	elastic net, penalized regression, biomarkers
Jonathan Drake	Alpert Medicial School of Brown University	VCAM-1, vascular risk factors
Derek Drake	Harvard University	AD
Yuhui Du	The Mind Research Network; Shanxi University	Biomarkers, Classification, Clustering
Weiyu Du	University of Pennsylvania	sparse principal component analysis
Guangwei Du	Penn State Hershey Medical Center	TBM, neurodegenerative disease pattern
Chao Du	National Key laboratory of Cognitive Neuroscience and Learning, Beijing Normal U	Cognition
Lei Du	Northwestern Polytechnical University	Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Dongsu Du	Henry Ford Hospital	super resolution
Qianqian Du	Taiyuan University of Technology	pet image reconstruction
Yuhang DU	He Bei University	fmri
Xiaofeng Du	Xiamen university of technology	Non-rigid image registration, multi-resolution image registration
Zhongxiang Duan	Beihang University	CT MRI segmentation
Paromita Dubey	University of California, Davis	Brain Connectivity, Alzheimer's disease
florian dubost	Erasmus MC	enlarged perivascular spaces, deep learning, neural networks
Estelle DUBUS	CHU TOULOUSE	Cognitive description, ATN classes, amyloid biomarkers, heterogeneity
Simon Duchesne	Université Laval	Morphometry, MRI, multidimensional analysis
Simon Duchesne	True Positive Medical Devices Inc.	Biomarkers; Volumetry; Normative data
Kevin Duff	University of Utah	biological samples
Ben Duffy	USC	QC
Carole Dufouil	Inserm	Dementia
Juergen Dukart	Hoffmann-La Roche	PET MRI biomarkers diagnostic models
buaa duke	Peking University	Brain Parcellation, Brain Segmentation
carlos Dulanto	universidad cesar vallejo	neural nerwork
Christopher Dulhanty	University of Waterloo	3D Convolutional Neural Network; Data Augmentation
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,
Baskar Duraisamy	Hindusthan College of Engineering and Technology	Deep Learning
Aiden Durrant	University of Lincoln	Deep Learning, Computer Vision
Stanley Durrleman	INRIA	statistics, longitudinal, spatiotemporal data, image analysis, aging, brain
Anirban Dutta	University at Buffalo SUNY	Non-invasive brain stimulation
Martin Dyrba	German Center for Neurodegenerative Diseases (DZNE)	probabilistic models, multimodal analysis, machine learning, Markov random field
Witold Dyrka	Wroclaw University of Science and Technology	MRI, PET, computer-aided analysis, image segmentation, neural network, python
Gill Eapen	Decision Options, LLC	Artificial Intelligence, Decision Options
Bobi Eastman	Indiana University	data analysis, research, early detection
Jennifer Eastman	Northwestern University	MCI
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
Emily Edmonds	University of California, San Diego	Mild cognitive impairment; Neuropsychology
ANTOINE D EDOUARD	Harvard University	MCY&ALzheimer
Christine Edwards	Mayo Clinic	deep learning, interpretability, landmark detection
Amr Eed	Instituto de neurociencias de alicante	Machine Learning, multi-shell models
Trygve Eftestøl	University of Stavanger	dementia, machine learning, deep learning
Leslie Egbo	UCSF	ADNI 3 RA access
Graham Eglit	San Diego VA	Biomarkers, Tau, CSF, PET
Dagmar Ehrnhoefer	BioMed X Innovation Center	CSF, tau
Muhammad Ehtisham Ul Haq	iiui	alzheimer dataset
Simon Eickhoff	Research Center Jülich	Aging, Prediction, Transfer
Willem Eikelboom	Erasmus MC	ad
Eyþór Einarsson	Haskoli Islands	Deep Learning, Brain Age, Machine Learning, MRI
Nathan Einstein	Harvard University	Course project
Noushin Ejtehadi	Iran University of Science and Technology	DTI
Chima Eke	Plymouth University	Biomarker discovery
Shereen Ekhlas	Cairo Univerity	Alzheimer Disease, ADNI, MRI
Anders Eklund	Linköping university	Deep learning, multi modality, fMRI, dMRI, convolutional neural network
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
Malek El Husseini	Klinikum rechts der Isar	Adversarial deep learning
abdelali el idrissi	FST FEZ	big data, prediction
Ahmed Elabasy	Oulu university	machine learning
fanny elahi	UCSF	Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
Ahmed Elazab	Shenzhen University	AD, biomarkers
Ghaidaa Eldeeb	faculty of engineering cairo univeristy	DTI
Fatmaelzahraa Elgamal	University of Louisville	Fusion, medical image analysis, early diagnosis of AD
Ahmed ElGazzar	Academic Medical Center Amsterdam	Deep learning, Clustering, Anomaly detection, Unsupervised learning, Psychaitry
Mohamed Elgendy	Stony Brook University	epilepsy
Odessa Elie	University of Arkansas	early detection
Patrick Ellis	University of Sheffield	segmentation cerebellar imaging radiology MRI machine_learning Alzheimer's
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
Shaker ElSappagh	Inha University	Mobile health, deep learning
ahmed elsayad	Mansoura University	big data, big data analysis , big data processing
Samar Salah Mohamedahmed Elsheikh	University of Cape Town	Neurogenomics, Alzheimers, Genome-wide association study (GWAS), Connectome
Habiba Elsherbiny	Queen's University	N/A
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
Busra Emir	Izmir Katip Celebi University	Machine Learning Algorithms
Mohammad Asif Emran Khan Emon	Fraunhofer Institute for Algorithms and Scientific Computing SCAI	Neuroimaging Analysis, LONI
Corinne Engelman	University of Wisconsin-Madison	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
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
Tugce Ertuzun	Mehmet Ali Aydinlar University	AD, Controls, NGS, Genomics
Valentina Escott Price	Cardiff University	Polygenic Risk
Javier Escudero	University of Edinburgh	Machine learning, Decision support, biomarkers
Simon Eskildsen	Aalborg University	cortical thickness, brain mapping, segmentation
Sahar Esmaeeli	Abbvie	Alzheimer, imaging, Genetics
Soheil Esmaeilzadeh	Stanford University	deep learning course, Stanford university, class project
HECTOR ESPINOS-MORATO	I3M institute of Detectors for Molecular Imaging	CNN, multimodal imaging, classification, regression
Ana Espinosa	Fundació ACE	SMC and cognition
Ana Espinosa	Fundació ACE	Cognition,
Ferran Espuny Pujol	University of East Anglia	longitudinal cortical thickness, ANTs
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
Karol Estrada	Genothis	genetics genomics alzheimers
Dhivya Eswaran	Carnegie Mellon University	hidden markov models, exploratory analysis
Choi Eunjeong	Ewha Womans University	deep learning, medical image, GAN
Paolo Eusebi	University of Perugia	csf biomarkers; data-driven models; disease progression
Chloe Eusebio	California Polytechnic State University, San Luis Obispo	wavelet transform, wavelet analysis, convolutional neural networks
Ignacio Evangelista	Universidad Nacional de Rosario	Database, Normative values, Machine learning
Dave Evenden	Southampton Universiry	Dementia, Disease Modelling, Healthcare Planning
Katrina Evtimova	NYU	neuroimaging analysis
Michael Ewers	LMU	amyloid, genetics
Paul Expert	Imperial College London	Graph Convolutional Neural Networks, Complex Networks
Hatim Ezbakhe	UC Berkeley	PET/MRI metric, causal factors
Peter Eze	University of Melbourne	Medical Image Steganography, MRI, Security
Ahmed Ezzat	Cairo University	machine learning, ANN, MRI, EEG
Ali Ezzati	Albert Einstein College of Medicine	Volumetric, MRI, Amyloid, cognitive decline
Nathalie Fadel	Columbia University Mailman School of Public Health	fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac
Rachid Fahmi	Siemens Healthcare	AD, PET, FDG, MRI, Amyloid
Muhammad Faisal	King Fahd University	Tadpole Challenge Data
Sylvain Faisan	Icube	Image processing, pattern recognition
David Falta	Harvard University	Educational Use
Ariana Familiar	UNIVERSITY OF PENNSYLVANIA	machine learning, predictive modeling, diagnostics
ZHEN FAN	Imperial College London	Longitudinal amyloid tau
Wenliang Fan	Union Hospital, Huazhong University of Science and Technology	BOLD data analysis
fanda Fan	Institute Of Computing Technology Chinese Academy Of Sciences	reasearch
Weina Fan	Qufu normal university	Research the Alzheimer's disease
Yonghui Fan	Arizona State University	ADNI2-GO MRI data
qingchen fan	Northwest University	brain age Alzheimer’s disease deep learning
Yong Fan	University of Pennsylvania	Pattern recognition; Machine Learning, Multi-site data
Joline Fan	University of California, San Francisco	unsupervised learning algorithms, early predictors
ZHEN FAN	Imperial College London	AD biomarkers PET MRI
bryan fan	DICOM COMMITTE	AD MRI analysis
Fan fanda	Institute of computing technology, Chinese Academy of Sciences	research
Yan Fang	Shanghai University of International Business and Economics	7Yiffany
Chen Fang	Florida International University	Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
wang fang	Zhejiang Pharmaceutical College	202020
ZHOU FANG	Chinese University of Hong Kong	Deep Learnining, Alzheimer's Disease
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
Muhammad Farhan	Bahria University Islamabad, Pakistan	Neural networks
Fadi Farhat	New Jersey Institute of Technology	machine learning, neural network, deep learning
Syed uzma Farheen	VISTAS	Alzheimer's
Gonzalo Farías	Universidad de Chile	synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Sarah Farias	University of California Davis	cognitive reserve, cognitive decline
Mohammadjavad Faridafshin	Shiraz University	image processing, AD, Classification, Machine Learning,
Hamza Farooq	University of Minnesota	Diffusion MRI, Structural graph analysis, Alzheimer's Disease
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
Sina Fathi	Iran university of medical sciences	CDSS, Alzheimer's disease, deep learning
Cristian Fatu	University Transilvania	papagal
Noel Faux	IBM Research - Australia	Biomarkers, prognosis, genomics, cognitive decline
Faiz Fauzan	Singapore University of Social Sciences	Progression of Structural Abnormalities in Autistic Brains
Ruben Fdz	Universitat Jaume I	Classification, Alzheimer
Marcelo Febo	University of Florida	diffusion MRI, Alzheimers, amyloid
Ebrahim Feghhi	University of California, Los Angeles	Machine Learning
Andrea Feher	Tilburg University	tau-PET, CSF
Franklin Feingold	Stanford University	BIDS
Eden Feldman	New York University Medical Center	biomedical informatics
avi feldsher	Brain and Behavior Research Institute	deep machine learning mri cortical volume
Grazia Daniela Femminella	Imperial College London	inflammation; atrophy; AD; MCI
Brad Feng	Capital Medidcal University	Deep Learning; Alzheimer Disease
Xinyang Feng	Columbia University	AD imaging biomarker
Zhichao Feng	The Third Xiangya Hospital of Central South University	fzc2018xyyx
HONGBO FENG	First Affiliated Hospital of Dalian Medical university	aging
Han Feng	University of Texas Health Science Center at Houston	Brain image
Jinwang Feng	Northwestern Polytechnical University	Alzheimer's disease, Feature extraction, Classification
Lin Fengyu	drbrain	train, deep learning model
Christine Fennema-Notestine	UCSD	MRI, thickness, morphometry, shape analysis, PET
Frederick Feraco	Walt Whitman High School	Brain, correlation
Elsa Fernandez	University of the basque country	patterns, fMRI
Eric Fernandez	Christ Church Episcopal School	ai, alzheimer's
MIGUEL ANGEL Fernandez	University of Cadiz	PET, image, machine learning
Alberto Fernández	Universidad Complutense de Madrid, Spain	APOE4, Amyloidosis, cognitive performace
Sara Fernandez Rodriguez-Cabello	University of Salzburg	aging, longitudinal, WMH, AD
Clarissa Ferrari	IRCCS stituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy	AD, MCI, advanced statistical approach, machine learning
Ricardo Ferrari	Federal University of São Carlos	image segmentation, contour models
Ricardo Ferrari	Federal University of São Carlos	3D salient point, Deep Learning, Atlas of salient points
Fabio Ferreira	University College London	Machine learning, CCA, brain imaging, dementia
Hugo Ferreira	Faculty of Sciences of the University of Lisbon	Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Victor Ferreira	Federal University of Rio de Janeiro	Convolutional Neural Network, Machine learning,Alzheimer’s Disease
Luiz Kobuti Ferreira	University of São Paulo	functional connectivity; resting state fMRI; aging
Jennifer Fey (Erway)	Wake Forest University	machine learning, optimization, quasi-Newton methods
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
Michal Figurski	University of Pennsylvannia	UPenn, Leslie Shaw
Massimo Filippi	San Raffaele Scientific Institute, Vita-Salute San Raffaele University	diagnosis; learning algorithm; 3D convolutions; multimodal MRI.
Teresa Filshtein	University of California, San Francisco	genetics, Friday Harbor
Giorgio Finesi	Sapienza	Deep Learning
Elizabeth Finger	University of Western Ontario	NPI, MRI, PET
Tatiana Finley	Los Alamos National Laboratory	deep sparse coding, alzheimer's disease, early detection, multi-modal model
Sean Finn	Tekever	image processing quantification
Florian Fischer	Universtiy Medical Center Mainz	Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Madalina Fiterau	University of Massachusetts Amherst	deep learning; MRI; multimodal data; disease trajectory; forecasting
Kathryn Fitzgerald	Johns Hopkins School of Medicine	brain age multiple sclerosis
Mohammad Fiuzy	Iran University of science and thecnology	mri
Evan Fletcher	UC Davis	Cognitive Reserve, Psychometrics Workshop
Mateusz Florkow	UMC Utrecht	Virtual CT; Deep learning; Paired CT/MRI
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
Matthew Ford	University of North Carolina- Chapel Hill	network science, fMRI, machine learning, classification, stochastic process
Myriam Fornage	University of Texas Health Science Center at Houston	Small Vessel Disease; brain MRI; white matter hyperintensity
Ali foroutannia	ferdowsi university of mashahd	clustring
Parisa Forouzannezhad	Florida International university	MCI, AD, Neuroimaging
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
Kevin Fotso Tagne	University of New Mexico	0WN82 Machine learning, Statistics, Deep Learning
Gregory Founshtein	The hebrew University and the Hadassah Ein Kerem medical center	Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Pietro Francaviglia	University of Genoa	ArterialSpin Labeling
Linda Francis	certsmarket	Education, exam dumps, it exam.
Javier Franco Pérez	Openanalytics	FNIH Biomarkers Consortium
Jordan Fraser	USC	1633549291
Mark Fraser	Australian National University	harmonized Hippocampal protocol, manual segmentation
Mark Frasier	Michael J Fox Foundation	CSF, biomarkers, neurodegeneration
Scott Fraundorf	Southern Illinois University Edwardsville	clustering
Heather Frechette	University of New Hampshire	artificial neural networks, alzheimer's
Blaise Frederick	McLean Hospital/Harvard Medical School	resting state, perfusion,
Ben Freeze	Weill Cornell	machine learning, olfaction
Johann Frei	TUM	image registration, manifold learning, medical image classification
Joshua French	University of Colorado Denver	principal components, isotropy
Milana Frenkel-Morgenstern	Bar-Ilan University	Alzheimer's disease, CCR5
Yun Freudenberg-Hua	Feinstein Institute of Medical Research	AD genetics, loss-of-function variants
Brad Friedman	Genentech, Inc.	bioinformatics genetics
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
Karl Frontzek	University of Zurich	deep learning, alzheimer's, metabolomics
Xianjun Fu	Shandong University of TCM	AD &TCM
Jiangpeng Fu	HuaQiao University	academic research
Jason Fu	Guangxi University	medical image registration
Aslan Fu	BJUT	MRI
yu fu	lanzhou university	longitudinal brain changes; MCI;AD
Pan Fu	Taizhou First People’s Hospital	Alzheimer's disease, synaptic degeneration, clusterin
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
Ansgar Furst	Stanford University	Alzheimers, TBI, Veterans
Anirudh G	Philips	MRI to CT
NAGARJUNA G	NBKRIST	deep learning, Alzheimer's Disease
Janakasudha G	Sri Venkateswara College of Engineering	Alzheimer's Disease, Brain image analysis, machine learning and deep learning
Jin Gahm	USC	Surface mapping
Niharika Gajawelli	USC	fMRI, MRI, AD, MCI,
MEHUL GAJWANI	UNSW	Student, machine learning, neuroscience
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
Kevin Galinsky	Takeda	NFL; cognition; TREM2; CD33
Daniel Gallichan	Cardiff University	multi-contrast image visualisation
Paul Gallins	NC State University	data integration neuroimaging genetic
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
Wei Gan	National University of Singapore	Ensemble algorithms, Machine Learning, Combining classifiers, Con-tinuous
Jacopo Gandolfo	Università degli Studi di Genova	wmh
amir hosein gandomi	sahand university of technology	traumatic brain injury, finite element method, 3d model
Michal Gandor	Politechnika Krakowska	AI, computer science
Rithvik Ganesh	Jasper High School	AD, machine learning, diagnosis
Sukruth Ganesh	Thapar Institute of Engineering and Technology	Deep learning, Big data, Feature selection
Reema Ganotra	YMCA University of Science and Technology	Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Mengxia Gao	The University of Hong Kong	Convolutional neural network; Multi-modality; Predict; Alzheimer's; Cognitive
feng gao	SHANGHAI MORROW AI CO.LTD	TADPOLE
Ning Gao	GXU	ADNI
Xiang Gao	PKU	Alzheimers disease Machine Learning
Yue Gao	Harbin Engineering University	Writing a paper.
Yurui Gao	Vanderbilt University	functional connectivity
X. Raymond Gao	University of Illinois at Chicago	Age-at-onset, Genetics, Statistical methods, Polygenic risk score
ann gao	Cyagen Biosciences	Deep Learning
Fei Gao	University of North Carolina at Chapel Hill	Biomarkers, Joint modeling
Fuxun Gao	University of Shanghai for Science and Technology	Alzheimer’s disease; Computer-aided diagnosis
Yuyuan Gao	Guangdong General Hospital	Alzheimer’s disease; Biomarker; Blood; spinal fluid
zhiao gao	Guilin University of Electronic Technology	graduation design
Linlin Gao	Ningbo University	longitudinal MRI, convolutional neural network, recurrent neural network
Yufei Gao	Beijing Normal University	transfer learning, multimodal brain images analysis
Xiaohong Gao	Middlesex University	multi-modal classifier, fuzzy logic
Xiao Gao	University of California, San Francisco	atrophy, cognition
Sara Garbarino	Universite Cote d'Azure, Inria	misfolded proteins, dynamical system models, disease progression models
Sara Garbarino	UCL	Network diffusion models
Kara Garcia	Indiana University School of Medicine	surface registration, longitudinal, cortex, shrinkage, biomechanics
Yiliet Garcia	University of Brasilia at Gama	Compressive sensing, PET, medical imaging, prior information
Tanya Garcia	Texas A&M University	T1-weighted MRI images; Cox regression; tensor covariates
Miguel Garcia	Boehringer-Ingelheim	historical controls, placebo, disease modelling
Julián García	Universidad de Sevilla	PET
Gracian Garcia	Quiron	PET; SPM; templates
Juan Manuel García Varilla	MicroWebServices, SL	alzheimer, early diagnose, machine learning, pattern detection, PET, imaging
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
Valentina Garibotto	Geneva University Hospitals	FDG PET, tau, Ab42, CSF
Diego Garrido	Centre for Genomic Regulation	multivariate regression, GWAS, QTL mapping, Alzheimer's disease
Eduardo Garza-Villarreal	Instituto Nacional de Psiquiatria	diabetes, imaging genetics, neuroimaging
Christian Gaser	Jena University Hospital	brainage, vbm
Grant Gasser	Baylor University	data science, machine learning, research project, neural network, R, Python
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
Serge Gauthier	McGill University	Imaging, Alzheimer's Disease, Brain Connectivity
Jodie Gawryluk	University of Victoria	white matter, MRI, DTI, cognition
Pastel Gbetoho	Harvard Extension School	Harvard Extension School machine learnin project
Tian Ge	Athinoula A. Martinos Center for Biomedical Imaging	neuroimaging genetics
Shufei Ge	Simon Fraser University	Associations study, Group Lasso ,spatial correlation structures
xinting ge	LONI	Neuroimage
XINTING GE	University of Southern California	AD, Image process
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
Claudio Gentili	University of Padova	SVM, Depression, Cognitive functions
Andrew Geoly	INI	TBM
Claudene George, MD, RPh	Albert Einstein College of Medicine	ACE Inhibitors, Dementia
Konstantinos Georgiadis	University College London	computational models, simulation
Richard Gerkin	Arizona State University	teaching
Anda Gershon	Neurocentria, Inc.	AD, risk factors
Neil Getty	ANL	tbi, transfer-learning, medical-image-analysis
Olivier Gevaert	Stanford University	deep learning multi-scale modeling
roya gh	uni	ghj
n gh	university of tehran	dti
Amin Ghaemmaghami	Mashhad university of medical science	Alzheimer
Hadi Ghahremannezhad	New Jersey Institute of Technology	Random Forest, Alzheimer's disease
Fawaz Ghali	LJMU	deep learning
fatemeh ghanad	PNU	ALZHEIMER DISEASE, CLASSIFICATION
Mohsen Ghanbari	Erasmus University Medical Center	NFL, GWAS, Alzheimer's disease
Saoussen gharsallah	ISIM Gabes	WMH, segmentation
Mehdi Ghasemi	iran university of science and technology	alzheimer's disease(AD)
Ghazale Ghorbanzade	Isfahan University of Technology	Alzheimer’s Disease, DTI Imaging
Nachiket Ghorpade	Pune Institute of Computer Technology	CNN, Deep learning
Debasish Ghose	University of Agder	AI
Luca Giancardo	University of Texas Health Science Centerat Houston	machine learning, longitudinal connectomes
Trung Giang	Tay Bac University	Alzheimer Disease MRI
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
Lasse Giil	Haraldsplass Deaconess Hospital	Mild cognitive impairment; external validity
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
Gayakshika Gimhani	Informatics Institute of technology	Machine Learning
Alessandro Giordani	Università Cattolica del Sacro Cuore	epidemiological studies, risk factors
Joseph Giorgio	University of Cambridge	Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Tania Giovannetti	Temple University	functional abilities, informant
Diana Giraldo	Universidad Nacional de Colombia	Morphometric Analysis
Kirti Chandra Giri	Indira Gandhi Delhi Technical University For Women	Cognizance
Juan D. Gispert	Fundació Pasqual Maragall	Partial Volume Correction,
Giovanni Giulietti	IRCCS Santa Lucia Foundation	magnetic resonance, DTI, Alzheimer, mild cognitive impairment
Helia Givian	-	0440571898
DESPINA GKATZIOURA	NCSR Demokritos	Internship, Demokritos
Scott Gladstein	AbbVie	image analysis, machine learning, patient stratification, clinical trial design
Kelly Glavin	University of Pittsburgh	alzheimers, tract, metrics
Brad Glazier	Indiana University	Imaging, Genetics, Biomarkers
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
Justin goding	UMass Medical School	Brain imaging, SPECT, XCAT
TRIPTI GOEL	National Institute of Technology, Silchar	feature extraction, classification
Gadi Goelman	Hadassah Hebrew University Medical Center	fMRI, coherence, directed pathways
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
Daniel Golden	Arterys	machine learning, segmentation
Danielle Goldfarb	Banner Alzheimer's Institute	sleep, ventriculomegaly
Felicia Goldstein	Emory University	task engagement, recognition memory, normal cognition, MCI, AD
Laleh Golestani Rad	Northwestern University	finite element modeling, tDCS
Sepehr Golrizkhatami	Fraunhofer Institute	Event-based modeling, mechanism validation
Jesus Gomar	Northwell Health	Amyloid PET
Rodrigo Gomes de Souza	UFPE	machine learning; azlheimer; early diagnosis
Isabel Gomez	Consorci Sanitari Integral	Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
Marc Gómez	The Bonn-Aachen International Center for Information Technology (b-it)	Deep learning; time-series; VAE;
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
yasmin Gonella	Ms	cognitive reserve, cognitive reserve measurement,
Hoyt Gong	University of Pennsylvania	Precision Medicine
Enhao Gong	STANFORD UNIVERSITY	Deep Learning, Compressed Sensing
Liang Gong	Chengdu Second People's Hospital	APOE gene; functional connectivity; AD; Aging
Zhaowen Gong	University of Stuttgart	3D Registration, CNN
Siliang Gong	University of Pennsylvania	Pairwise screening, pathway analysis, variable selection
Kuang Gong	Massachusetts General Hospital	Deep learning, AD, MCI
nanjie gong	Shanghai Research Center for Brain Science and Brain-inspired Intelligence	fMRI
Zhaowen Gong	University of Stuttgart	3D Registration, CNN
Venkateswarlu Gonuguntla	Samsung Medical Science Research Institute	graph convolution, fMRI
Edgar González	Universidad de los Andes	Alzheimer
Willy González	Universidad de El Salvador	Profesor, Psiquiatria, Neurociencias
David Gonzalez	University of Texas Health Science Center at San Antonio	FAQ, NPI, psychometrics
Gabriel Gonzalez-Escamilla	University Medical Center of the Johannes Gutenberg-University Mainz	Aging, neurodegeneration
Consuelo Gonzalo Martin	Universidad Politécnica de Madrid	Dementia, Alzheimer, image biomarkers
Max Goodman	UCLA	blood, CSF, biomarker, PET, MRI
Luise Gootjes-Dreesbach	UCB	Bayesian Networks
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
Saransh Goswami	IIT BHU varanasi	sg
Mattias Göthlin	University of Gothenburg, Institute of Neuroscience and Physiology	Classification, prognostic accuracy, demography
Assaf Gottlieb	UTHealth	AD, FTD
Daniel Gourdeau	Université Laval	Radiomics,AD prognosis, machine-learning, texture analysis
SARASWATHY GR	M S Ramaiah University of Applied Sciences	Computational, Alzheimer's disease
Ariel Graff	Universtity of Toronto	depression, amyloid, PET
Jinko Graham	Simon Fraser University	multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Kamil Grajski	Nurosci, LLC	Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP
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
Mary Grant	Prisma Health System	ADNI Study
Nicole Grant	University of Victoria	Depression Scores, Structural Scans, Atrophy, cortical differences
Massimiliano Grassi	Villa San Benedetto Menni Hospital	Machine Learning, Conversion to Alzheimer's Disease, MCI
Katherine Gray	Imperial College London	Alzheimer's disease; early diagnosis
Daniel Graziano	Harvard University	regression, modeling
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
Sarah Gregory	University of Edinburgh	Cortisol Diabetes HbA1c
Michael Greicius	Stanford University	genes, structure
Stuart Grieve	Heart Research Institute	data-fusion, neuroimaging, concussion, depression, dementia, brain structure
Joshua Grill	UC Irvine	informant
Enrico Grisan	Unversity of Padova	deep learning, neural networks, survival analysis
Stefano Giuseppe Grisanti	University Of Genoa	alzheimer cognitive reserve
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
Irme Groothuis	University College London	microbleeds, deep learning
Giuseppe Grossi	Ryerson University	Deep Learning, Computer Vision, Machine Learning
Matteo Grudny	University of Florida	diffusion magnetic resonance imaging, functional connectivity metrics
Matthew Gruen	NYU School of Medicine	Alzheimer's Anxiety MRI Hippocampus
Arne Grundstad	AbbVie	AbbVie ADNI
Lihua Gu	Southeast University	Alzheimer's disease
Sichun Gu	Longhua Hospital, Shanghai University of Traditional Chinese Medicine	Parkinson's disease
Xuejun Gu	The University of Texas, Southwestern Medical Center	radiation, representation learning
Nannan Gu	Shanghai Mental Health Center	cognitive impairment, Alzheimer’s disease, data-mining techniques
Youzhi Gu	Zhejiang University	AD survey
cihey guan	University of Electronic Science and Technology of China	rsfmri
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
Daniel Guellmar	Jena University Hospital	deep learning, MRI, biomarker
Pamela Guevara	University of Concepción	white matter bundles, anatomy, machine learning
Rajashekhar Gugulothu	no company	cancer
Vincent Guillemot	Institut Pasteur	resting state ; MDS
Pedro Guimarães	Saarland University	biomarkers, deep learning
Abel Guimaraes	Ryerson	deep learning, Alzheimer’s Disease
Lênon Guimarães	USP	GAN, MDD, Graph Analysis
sharvari gujja	Wuxi NextCODE	machine learning, deep learning, genetic drivers
Jyotasana Gulati	Alkahest Inc.	statistical learning, Alzheimers, Plasma
Ananya Gulati	Illinois Institute of Technology, Chicago	Alzheimer's, Machine Learning, Algorithms, Analysis, Drug, Bacteria, Gene
Alisha Gumber	New York University	R data analysis alzheimers
Melisa Gumus	University of Toronto	Computational Neuroscience, Modelling Alzheimer's Disease, COBWEB
TAMIL INIYAN GUNASEKARAN	Chosun University	Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease
TAMIL INIYAN GUNASEKARAN	Chosun University	SNP, GWAS, MRI, pathogenesis, neuronal damage.
Nishan Gunawardena	University of Colombo	Alzheimer’s Disease, Pre-detection, MRI data, image processing
Roger Gunn	Imperial College London	Mathematical Analysis, Classification, Machine Learning
Yusheng Guo	South China University of Technology	asd123....
Min Guo	Shanxi University of Finance and Economics	Baysian networks, brain connectivity
Gavin GUO	The Hong Kong Polytechnic University	machine learning; transfer learning；AD
DANFENG GUO	CURACLOUD CORP	Deep learning
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
Yanrong Guo	Hefei University of Technology	classification , neuroimaging
Jiaming Guo	Massachusetts General Hospital	ordinal regression, progression of AD
Hengtao Guo	Rensselaer Polytechnic Institute	Deep Learning, Computer Vision
gaurav gupta	Shoolini University	Alzheimer image segmentation machine learning
Yubraj Gupta	Chosun university	CNN, Alzheimer disease
Smriti Gupta	Nitj	Alzheimer disease, MRI image
Shantanu Gupta	University of Wisconsin-Madison	atlas construction, template generation, deep learning
Sanskriti Gupta	The NorthCap University	Alzheimer, fMRI, Deep Learning
Aditi Gupta	KUMC	Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI
Gaurav Gupta	USC Viterbi School of Engineering	Alzheimer
Rishab Gupta	SUNY Downstate Medical Center	Alzheimer Disease, Outcome, ethnicity
Navin Gupta	Indian Institute of Technology, Guwahati	clinical subtyping, data driven, symptoms, independent component analysis
Aarzu Gupta	UCSF	Alzheimer's, gender
Vinay Gupta	University of Manitoba	Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Pranav Gupta	IIT BHU	Results comparison with existing results
SHLOMIT GUR	Penn State University	Evolving functional connectivity analysis, machine learning, graph theory
HARSIMRAN GURAM	lOVELY PROFESSIONAL UNIVERSITY	Dementia,Neural network,MRI
Robert Gurke	University Frankfurt	homocysteine, lipidomics
Mahmut Edip Gurol	Massachusetts General Hospital	CAA, cortical thickness, controls, AD
Jose Gutierrez	Columbia University	arterial diameters, beta amyloid, tau
Jessica Gutierrez	1995	machine learning; predictions;
Carlos Gutierrez	Imij Inc	Structural MRI
Nuria Gutiérrez Sánchez	Universidad Politécnica de Madrid	Research, neuroloimaging
Boris Gutman	University of Southern California	DTI, diffusion MRI, Alzheimer's, human connectome
David Gutman	EMORY UNIVERSITY	mri dti adni
Holly Guvenli	Okan University	MCI, fMRI, entorhinal cortex, hippocampus
Kadir Güzel	Yildiz Technical University	Machine Learning
wang h	qfnu	research
J H	SD Univ.	Image processing; feature extraction
x h	xia men university	Alzheimer’s disease
Q H	Southern Medical University	multi-modality, radiomics
Vanamala H Rajanna	PES University	texture, connectivity
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
Mallory Hacker	Vanderbilt University Medical Center	PDRP, PDCP, ADRP, FDG-PET
Seyyed Mohammad Hassan Haddad	University of Western Ontario	Resting-state fMRI, Amyloid PET, Brain Activity
Maryam Haghshomar	Tehran University of Medical Sciences	Machine learning, Alzheimer disease, classification
Jarang Hahm	Dongguk University Ilsan Hospital	MCI, AD
Alice Hahn	Samsung Medical Center	Alzheimer's
Yan Hai	Georgia state university	confidence interval, sensitivity
Sun Haijing	Northeastern University	sunhaijing798010
Ye HaiLi	CASIA	CV
habtu hailu	Mangalore university	medical image
wu haitao	University of Chinese Academy of Sciences	wht2631342
Jiang Haitao	USTC	None
wang haixing	Southeast University	deep learn , MRI
Sun HaiYang	Hangzhou Normal University	Inter-Scanner Reliability PET SUV
Adam Hajari	Pandora Media	classification sampling
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
Kim Hakyeong	Seoul National University Hospital	alzheimer's disease
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
Leontine Ham	Erasmus Medical Centre Rotterdam	Alzheimer, vascular dementia, disease modeling, biomarkers
Andac Hamamci	Yeditepe University	VBM teaching
Shah Muhammad Hamdi	Georgia State University	functional brain networks, mildly cognitive impairment, graph data mining
Fadel Hamed	Universidad de Granada	research matlab algorithm
Tyler Hammond	The University of Kentucky	cognitive reserve, Alzheimer disease, aging, DTI, MRI
Tom Hampshire	Gold Standard Phantoms	registration, mri, image analysis
Sultonmurod Hamroev	Anhui University of Technology	MRI, Alzheimer's, Neural Networks
hentabli hamza	Universiti Teknologi Malaysia	medical image segmentation, Alzheimer’s Disease
Maryam Hamzelu	Tarbiat Modares University	Deep learning, machine learning
Deng-Yu Han	National Taiwan University Hospital	nighttime behavior; sleepiness; beta-amyloid; PET.
wenzhong han	Shenzhen university	segmentation;hippocampus
Xiangmin Han	SHU	deep learning ,machine learning
Shuanglin Han	Johns Hopkins University	NGS analysis; rs17125944
Liang Han	Chongqing University	early detection, MRI, MCI, AD, Artificial Intelligence
Yutan Han	Shanghai University of Finance and Economics	2015Hyt0613
Xiangmin Han	SHU	DNN
Duke Han	USC	cognition, neuroimaging
HioBeen Han	KAIST	None
Shizhong Han	The University of Iowa	GWAS, heritability, sMRI, and fMRI
fei han	Shanghai Maritime University	Alzheimer’s disease , mild cognitive impairment ,machine learning approach
Yu Han	University of Vermont	machine learning, feature prediction, diagnosis detection
Kun Han	Harbin Engineering University	Deep learning; AD
Ruizhi Han	University of Macau	machine learning，Disease diagnosis
Francis Hane	Lakehead University	AD prediction, APOE4, Bayesian
Tong Hang	Southwest Jiaotong University	experimental data
Alexandru Hanganu	University of Montreal	T1, fMRI, rsfMRI, DTI
sahar hanifi	Amirkabir University of Technology	datamining - MRI
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
Catherine Hanson	Rutgers University	fMRI, brain networks, cognitive
SOURABH HANWAT	Christ university bangalore	image processing
Xu HanXiao	Xidian University	risk gene,biomarker,
Zhiying Hao	University of Electronic Science and Technology of China	machine learning ; medical image processing
wang Haodong	Northwestern Polytechnical University	6560065
Bai Haoyue	Central South University	272563575db
Matthew Hapenney	USC	glucose, pet analysis
Clara Happ	Ludwig-Maximilians-University Munich	Functional Data Analysis, Functional Principal Component Analysis
Rafi Haque	Emory University	Alzheimer's, Biomarkers, Cognitive Asessments
Oscar Harari	Washington University in St Louis	Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau
Vida Harati	Shahed University	deep learning classification
Sethulakshmi Haridas	Viswajyothi College of Engineering and Technology	Alzheimers disease stage recognition
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
Michael Harrington	Huntington Medical Research Institutes	Preclinical AD, neurodegeneration, MRI, CSF, amyloid
Jacqueline Harris	University of Calgary	Machine Learning, Neuroimaging, Psychiatry
Breanna Harris	Texas Tech University	cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Marc Harrison	Stanford University	resting-state fMRI, community detection
Danielle Harvey	Unversity of California, Davis	biostatistics
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
MD RAIFUL HASAN	The University of Southern Mississippi	Alzheimer, Deep Learning
Jonathan Hasbani	ITBA	Neural networks, machine learning, Alzhei
nazi hashem	azarbaijan university	alzheimer dataset
Arsalan Hashemiaghdam	Yale University	Cognition, Alzheimer's disease
Jakub Hasiec	Warsaw School of Economics	Predictive modelling, data mining, Alzheimer's disease
Nada Hassan	Ain Shams university	Bioinformatics , Machine learning framework for early MRI-based Alzheimer's con,
Kilian Hasselhorn	University Koblenz-Landau	power analysis; starting point
Sean Hatton	UCSD	MRI, data harmonization
Ghazal Havoutis	Nova Southeastern University	biomarker, diagnostic performance, Alzheimer's detection, MCI
Toshihiro Hayashi	University of Tokyo	MRI, psychology, biomarker
Jasmeet Hayes	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
Nalini Hazra	USC	Alzheimer's
Ke He	Tsinghua University	Registration, deep learning
Shuting He	State Key Laboratory of Industry Control Technology, College of Control Science	AD survey
Zhen He	La Trobe University	deep learning, computer vision
xiaoxi he	Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji	861130
mengya he	Sichuan University	medical research
Linchen He	New york university	Association test, binomial mixture model, complex disease, genetic heterogeneity
qi he	Tianjin University	method evaluation
zhi he	SYSU	classification
Tao He	San Francisco State University	set-based association, pathway analysis
xiaozheng he	zhujiang hospital	PD csf BIOMARKER
Qin He	TUT	AD
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
Xuanning He	Australian National University	Dementia, Cognitive Function, Lifestyle, Cognitive Reserve
Huiguang He	Institute of Automation, Chinese Academy of Scicences	fMRI, DTI, Medical Image Processing
roh hedayati	Esfahan University	MCI+MRI+PET
Trey Hedden	Massachusetts General Hospital	Genetics, using ADNI data as a teaching example, Friday Harbor
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	Statistical relational learning, Ensemble Methods
Mohamed Hefny	Queen's University	Medical Data Analysis, MUltisource data integration, Disease Understanding
Madhusudan Hegde	Stanford University	Research
Brianna Heggeseth	Macalester College	teaching
Ashley Heinson	UCB	Clustering, Biological Mechanism, Neurodegenration
Luca Heising	Tilburg University	Machine learning, Deep learning, Early detection, Alzheimer's
hadeer helaly	mansoura	alzheimer
Jarle Helle	Western Norway University of Applied Sciences (HVL)	Neural network, Brain age, Predict, MCI, Alzheimer's disease
Samuel Henderson	Accera Inc	APOE, ADAS-Cog, MMSE
Andrew Henney	JCU	Generative Adversarial Networks
Rui Henriques	Instituto Superior Técnico, Universidade de Lisboa	Classification, Clustering
Wiranthe Herath	Southern Illinois University Carbondale	Regression
Paul Herent	Owkin	#Brain age prediction #deep learning #CNN #machine learning #MRI
Renato Hermoza Aragones	The University of Adelaide	Deep learning, reinforcement learning, survival prediction, biomarkers
Monica Hernandez	University of Zaragoza	Computational Anatomy
Hernan Hernandez	Concepcion University	MRI, fMRI, dFMI, Ph.D
Samuel Hernandez	Weill Cornell	Blood, 850k, bisulfite sequencing
Gerson Hernandez	University of Arizona	Alzheimer's, biomarkers, neuroimaging
Antonio Hernandez	VerSci	Alzheimer;s
Yamid Fabián Hernández Julio	Universidad del Sinú	Fuzzy inference systems
Hector Hernandez Saucedo	University of California, Davis	cognitive reserve, usin ADNI data as a teaching example, Psychometrics Workshop
Liz Herrera	ITESM	Reconstruction MRI
Nitsa Herzog	Birkbeck University of London	Mild cognitive impairment, Alzheimer
Nitsa Herzog	Birkbeck University of London	MCI, Alzheimer, machine learning
Jonathan Hess	SUNY Upstate Medical University	Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett	University of Bordeaux	Patch-based biomarkers, hippocampus, hippocampal subfields
Nargess Heydari Beni	University of Waterloo	Brain, Imaging, MRI, CT, PET
Derrek Hibar	Genentech, Inc	imaging genetics, cognitive decline, robust statistics
Steven Hill	University of Cambridge	risk stratification, risk prediction, statistical methods
Tanisha Hill-Jarrett	University of Michigan	cognitive reserve, using ADNI data as a teaching example, psychometrics workshop
Frank Hillary	Pennsylvania State University	hyperconnectivity, MCI, risk, neurodegeneration
David Hilman	Imperial College London	Random Forest, KNN, SVM, Progression
Naoki Hirabayashi	Osaka Prefecture University	Neural Network
Daisuke Hirahara	Kagoshima Medical Technology College	artificial intelligence
idir hired	fortia	FASTER R CNN
YASHAS HIREMATH	Case Western Reserve University	ABIDE
Toru Hironaka	Massachusetts General Hospital	Machine learning
Robin Hirt	KIT	deep learning, transfer learning, artificial intelligence
Andreia Hisi	ICM	data to reproduce article
Ngoc-Huynh Ho	Chonnam National University	Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
Dylan Ho	CUHK	Atlas, AD, Asia
Yi-Yun Ho	Cornell University	machine learning
Lara Hocurscak	FMF UL	FDG-PET, Alzheimer's disease
Jelte Hoekstra	GoDataDriven	alzheimer, explainability, cnn
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
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
Sean Holmes	Invicro	Hippocampus, Ventricle, MR, freesurfer
Henne Holstege	Amsterdam UMC	Genetics, Alzheimer
Vincent Leonard Holstein	University of Münster	Multiple Sclerosis, Transfer learning
Chae Moon Hong	Kyungpook National University Hospital	Amyloid, Alzheimer, white matter hyper intensity
Ye Hong	Sichuan University	brain connectome
chen hongjie	Xiamen University Of Technology	MRI Reconstruction
zou hongliang	Nanjing University of Science and Technology	research
Lawrence Honig	Columbia University	amyloid
Bradley Hooker	AbbVie	Machine Learning Texture-Based Analysis tau PET
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
William Horne	IUPUI	Prediction, Machine Learning, EHR
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. Imtiaz Hossain	Islamic University, Kushtia	student, masters project, academic purpose
salameh hosseini	azad islamic university	convolutional network,Alzheimer’s Disease,Neuroimaging
Seyyed Abed Hosseini	Islamic Azad University of Mashhad	fMRI, Data analysis, Classification
Hadi Hosseini	Stanford University	big data, prediction
Xianxu Hou	Shenzhen University	image to image translation
Beibei Hou	Beijing University of Posts and Telecommunications	medical image analysis
Tingting Hou	河南大学	Data sets
Fatao Hou	Shanghai Jiao Tong University	Alzheimer Disease, Mild Cognitive Impairment, Magnetic Resonance Imaging
Jia Hou	Hangzhou Dianzi University	brain network, classification
Jiaxin Hou	Northeastern University	Computer-aided Diagnosis of Alzheimer's Disease
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
James Howlett	Medical Research Council	EPAD Risk Modelling
Yih-Jwu Hsiao	McMaster University	Alzheimer's, textural analysis, Python, machine learning, ML, texture
Jasmine Hsiao	ACER	cognitive frailty
Ping-Chen Hsieh	National Taiwan University	adnideeplearning
TunWei Hsu	Taipei Veterans General Hospital	AD
TING JUI HSU	National Chiayi University	timmy70267
Ming Hsu	University of California, Berkeley	fluency, semantic memory
Zong-Kai Hsu	Graduate Institute of Biomedical Sciences, China Medical University	2alxggdu
Li-Ming Hsu	UNC at chapel hill	gaphy theory, machine learning
Yi-Hsiang Hsu	HARVARD MEDICAL SCHOOL	GWAS, NGS, Machine learning, risk prediction
xiaoyu hu	peking university	fpca
jialin hu	shanghaijiaotong university	neural circuit
Yanshi Hu	Zhejiang University	Parkinson's disease / motor symptoms, Alzheimer's disease
SONG HU	METROHEALTH	Segmentation
Nan Hu	Genentech	biomarker; disease progression
Mingyue Hu	Central South University	MCI, AD
Mengjie Hu	Zhejiang University	In-deep learning,cognitive impairment
Lingjing Hu	Capital Medical University	Texture analyze, VBM
helen hu	SHU	AD diagnosis
Qing Hu	Northwestern University	Machine learning solution, risk of Alzheimer
yuanyuan hu	Yunnan University	deep learning, medical images, computer-aided diagnoisis system, mental health
Chang Hu	University of Illinois at Urbana-Champaign	neural network, longitudinal prediction
Helen Hu	C2N Diagnostics, LLC	fluid biomarkers
Tao Hu	Delft University of Technology	Alzheimer's disease detection via fMRI image
Xiaonan Hu	Sinovation Ventures	MRI
Xuefang Hu	Hebei University	AD NC difference
Shunbo Hu	Linyi University	Image registration and segmentation
Jinlong Hu	South China University of Technology	brain diseases diagnosis, machine learning algorithm
Helen Hu	SHU	investigation; algorithms
Jingyu Hu	East China University of Science and Technology	Multimodal medical Image
yanting Hu	Xinjiang Medical University	medical image enhancement; deep-learning method
Sing Hu	Sun Yet Sen University	deep learning
Qiang Hu	Nanchang Hangkong University	huqiang071635606
wanqi hu	xmu	AD;mci；deep learning
Yu Hu	South China University of Technology	Alzheimer's Disease detection; machine learning; data mining
jiaxin hu	Zhongan Company	ADNI
Rui Hu	Oklahoma State University	privacy, federated learning
Jianping Hu	Fujian meidcal university	ASL
Weichu Hu	Nanchang University	deeplearning GAN
Tom Hu	UC Berkeley	CNN, Tensor, Regression, Deep Learning
Tao Hua	Huashan hospital, Fudan university	Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Rui Hua	Southeast University	deep learning,multimodal imaging,CNN
jiang hua	Liaocheng University	resting state fMRi
HUA HUA	Kunming University of Science and Technology	fMRI,DFC,Brain network
Jia Hua	SUNY at Buffalo	Early stage, diagnostic test
Nancy Huaman Mamani	UNICAMP	ontology, alzheimer disease
Alexandra Huamani	Pontificia Universidad Católica del Perú	CNN, MRI, Brain
lao huan	GuangXi University	deep learning;medical images;Alzheimer's disease
Teng-Yi Huang	Taiwan Tech	deep learning
Zhen Huang	Tongji University	MOCA
Jingwen Huang	University of Electronic Science and Technology	machine learning
Biwei Huang	Carnegie Mellon University	Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
shangfo huang	Beihang	privacy-preserving
Huijun Huang	Xi'an Jiaotong University	AD; deep learning; biomarker; pathway
Rubby Huang	Cornell University	1234567890
Sihui Huang	The University of Texas at Dallas	Big Data, Machine Learning
gan huang	university of shanghai for science and technology	AD, Brain network, PET, MRI
Meiyan Huang	Southern Medical University	association anlysis
Yiyanwen Huang	Queen's University Belfast	How arginine metabolism altered Alzheimer’s disease
Edward Huang	University of Illinois at Urbana-Champaign	Network integration, EMR analysis
Haiqing Huang	University of Pittsburgh	amyloid, PET
Susie Huang	Massachusetts General Hospital	Deep learning, super-resolution
Xifen Huang	Yunnan Normal University	gamma frailty model
Sharon Huang	Stanford Linear Accelerator Center	Stanford, AD, Machine learning, Bayesian Statistics
Peiyu Huang	Zhejiang University	CBF, network
Qi Huang	Huashan Hospital	spatial normalise
Chao Huang	UNC	multiscale adaptive regression model shape analysis
Jenny Huang	cyagen	AI Medical image
Jianpan Huang	City University of Hong Kong	MRI, AD, deep learning
Henghua Huang	Beijing University of Chemical Technology	GAN
Hsiao-Chen Huang	UCSD	brain image, VR, rendering
Cedric Huang	UESTC	Machine learning
weijie huang	Beijing Normal University	AD biomarker machine learning
Sikai Huang	Columbia University	AD, CNN
Sikai Huang	Columbia University	ALzheimer's Disease; Deep learning
He Huang	University of Queensland	m6A, AD
Zhichun Huang	University of Wisconsin-Madison	FDG PET, ASL Perfusion, Deep Learning, Generative Model, GLOW
Shaojun Huang	Shanghai Maritime University	fMRI; brain network; disease classification
Xianzheng Huang	University of South Carolina	Mode regression, prediction, regressor
Jianpan Huang	City University of Hong Kong	Alzheimer's disease, deep learning
Yunyou Huang	Institute of Computing Technology, Chinese Academy of Sciences	classify, predict, Alzheimer's disease
Suqi Huang	Sun Yat-sen University	fMRI,AD
Chin-Wei Huang	National Cheng Kung University	alzheimer's disease
huaidong huang	The Second Affiliated Hospital of Shantou University Medical College, China	Alzheimer’s disease, machine learning
Yuhui Huang	University of North Carolina at Chapel Hill	Machine learning, image recognition, natural language processing
Yali Huang	Hebei University	white matter; fMRI
Malo Huard	Paris-Sud	Deep learning
Manuel Huerbin	MIAC AG	Morphometry
Andrew Hufton	Springer Nature	data-peer-review metabolomics
Jacob Huh	UC Berkeley	anomoly detection
Frank Hui	Burnaby North Secondary School	Convolutional Neural Network, Glioblastoma Multiforme, MRI scans, healthy brains
Willem Huijbers	Tilburg University	methods development, data science
yang huijing	brijing university of technology	brain network ；graduate student
Noemi Hummel	Analytica Laser	disease modelling
Guanhua Hung	Tunghai University	Early Diagnosis,Early Diagnosis
Xin Hunt	SAS Institute Inc.	machine learning, transfer learning, predictive model
Zhiguang Huo	University of Florida	statistical methodology, clustering algorithm, Alzheimer’s disease subtypes
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
Zain Hussain	University of Edinburgh	Machine Learning
R. Matthew Hutchison	Biogen	Tau, Amyloid, functional connectivity, brain dynamics
Alexandre Hutton	McGill University	machine learning, prediction
Kevin Huynh	Baker Heart and Diabetes Institute	lipidomics, metabolomics
Jihye Hwang	Asan medical center	time analysis
Inyong Hwang	Korea University	Deep Learning, Image Processing
Heungsun Hwang	McGill University	imaging genetics; statistics, bioinformatics
Seong Jae Hwang	University of Wisconsin-Madison	longitudinal, connectivity, amyloid, deep learning, uncertainty estimation
Emma Hyberts	Boston University	vascular health, Alzheimer's Disease
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
Esther Ibanez	ISI Foundation	topological data analysis
Olga Ibragimova	ChemRar	Avineuro, ChemRar, Alzheimer, AD, Dementia
Hamza Ichchou	Ecole Centrale de Nantes	Deep learning, machine learning, MRI
Samuel Iddi	University of Ghana	Alzheimer's, Joint Models, Prediction, Statistical models
Samuel Iddi	Alzheimer's Therapeutic Research Institute of USC	ADNI, TADPOLE, Alzheimer's
Jaime Ide	Yale University	cnn, deep learning, supervised learning
NAJLAE IDRISSI	FACULTY OF SCIENCES AND TECHNIQUES BM	MRI, AD, segmentation, classification
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
Toshikazu Ikuta	University of Mississippi	DTI; tractography; genetics
Ilias Iliopoulos	University of Patras	dataset , alzheimer , training , algorithm , classification
Cecilia Im	University of California San Francisco	3D Printing
Livia Imami	Bisopective	ADNI
Erhan Ince	Eastern Mediterranean University	AD, CAD, sMRI
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
Darius Ionut	UVT	python
Michael Iorga	Northwestern University	brain extraction, skull stripping, neural networks, machine learning
Nancy Ip	The Hong Kong University of Science and Technology	synapse, cell surface receptors, kinase
Khajasta Iqbal	University of Wah	Alzheimer detection, MCI detection
David Irwin	University of Pennsylvania	UDS, GWAS
Manabu Ishida	ERISA Co., Ltd.	Alzheimer's Disease, MCI, Machine Learning, 3D Convolutional Neural Network
Makoto Ishii	Weill Cornell Medical College	biomarkers, metabolic hormones, preclinical
yosuke ishii	Stanford University	age
Tariqul islam	BUET	0BR11
Jyoti Islam	Georgia State University	fMRI, Alzheimer’s Disease, Deep learning, CNN
Mustafa Ismael	Babylon University	image processing, pattern recognition
NUR HAFIEZA ISMAIL	Texas A&M University	Alzheimer's disease
NUR HAFIEZA ISMAIL	Texas A&M University	Alzheimer's disease
Aya Ismail	University of Maryland	Machine learning , classification
Mohamed Ismail	TU-Darmstadt	Early diagnoses alzheimer master thesis
Elvin Isufi	Tu Delft	detecting anomalies over networks
Ivan Itzcovich	Instituto Tecnológico de Buenos Aires	Deep Learning, Convolutional Neural Networks, Artificial Intelligence
Jana Ivanidze	Weill Cornell Medicine	tau PET, amyloid PET, MMP-9, multimodal biomarkers
Ilinka Ivanoska	Faculty of Computer Science and Engineering, Skopje	graph theory, embeddings, fmri, dti
Tyler Ivester	Massachussetts General Hospital	Vascular, biomarkers, Alzheimer's
Tyler Ivester	Massachussetts General Hospital	Vascular, biomarkers, Alzheimer's
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
Manjunath J	Candiphi Healthcare Pvt. Ltd	Alzheimer,MRI scans
ALPHIN J	IIIT H	STRUCTURE ANALYSIS, ALZIMERS
dheeba J	Vellore institute of technology	machine learning
FEMINA J	ANNA UNIVERSITY	alzheimer's dataset
Emimal Jabason	Concordia	Deep Learning
Grzegorz Jacenków	The University of Edinburgh	multimodality, machine learning, deep learning
sv jack	individual	MRI
Jonathan Jackson	Fr. C. Rodrigues Institute of Technology, Vashi	Alzheimers, Dataset, CNN, MRI scan
Jenith Jacob	KCE	Matlab
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
reza jafari	WTIAU	thesis
Suresh Jaganathan	SSN College of Engineering	Deep Learning, Stacked Auto Encoder, Multilayer Perceptron
William Jagust	UC Berkeley	PET, ROI
Neda Jahanshad	USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of t	MRI, DWI, genetics
zahra jahanshiri	tarbiat modares university	image mining, age,AC
Vikas Jain	IIIT Vadodara	Machine Learning, Random Forest
KAJAL JAIN	KLE TECH	project
Sargam Jain	University of California, Berkeley	PET, MRI, Amyloid Hypothesis, dimension reduction
Anubhav Jain	IIIT-Delhi	brain-images, Deep Learning, Course-project
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
Sharna Jamadar	Monash University	parenthood, cortical thickness, connectivity
Alex James	Nazarbayev University	imaging
Emmanuel Jammeh	University of Plymouth	demenia, parkinsons, bioinformatics, machine learning, decision support systems
Mojtaba Jamshidi	Qazvin Branch, Islamic Azad University	data mining
LUIS JAÑEZ	UNIVERSIDAD COMPLUTENSE DE MADRID	machine learning, predictive models, SVC, DNN, Alzheimer's disease,
Cheongjae Jang	Seoul National University	DTI, positive-definite matrices, differential geometry, deep learning
Hyemin Jang	Samsung medical center, Seoul, Korea	cognition, Alzheimer's disease, amyloid, tau
Jae-Won Jang	Kangwon National University Hospital	Mild cognitive impairment, Alzheimer’s disease, CSF biomarkers, Brain MRI, Beta
Milica Jankovic	University of Belgrade - School of Electrical Engineering	dynamic, PET, MRI, neuroimaging
Kay Jann	USC Stevens Neuroimaging and Informatics Institute	Complexity, PET, fMRI
Ali Jannati	BIDMC – Harvard Medical School	PET, rs-fcMRI, lesion network mapping
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
Mohamed Ali Jarboui	Department of Preclinical Imaging and Radiopharmacy. UKT	metabolomics
Vinicius Jardim	University of São Paulo	Graph Signal Processing; Network diffusion, inverse problem
Mojib Javadi	Indoc Research/OCBN	data structure, data sharing, data visualization
farshid javdani	Jahrom University of Medical Sciences	Alzheimer’s disease;Inflammation;Nervous system
Reza Javidi	Janssen R&D	computation, data analysis
Monica Javidnia	University of Rochester	imaging, parkinson's, alzheimer's, dementia
supraja jayakumar	NA	deep learning models, alzheimers
Premaladha Jayaraman	SASTRA University	image analysis, feature extraction
Kharne Jean	University of Georgia	APOE e4 functional independence white matter integrity
Vijay Jeaykumar	SSN College of Engineering	Image Retrieval
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
youngseok jeon	National University of Singapore	Deep learning, CNN, GAN, deep representation, Alzheimer's Diseaase
Mingyeong Jeon	Chonbuk National University	GAN(Generative Adversarial Networks), Classification, Diagnosis
Seun Jeon	Montreal Neurological Institute & Hospital, McGill University	reproducibility
yeonuk jeong	asan medical center	deep learning
SEUNG YEON JEONG	KONYANG UNIVERSITY	deep learning
Byeong Chang Jeong	Korea University	network science, deep learning
JinGyo Jeong	Hanyang University	Alzheimer
Yong Jeong	KAIST	fMRI, Resting State, DMN connectivity
Sun Jeremy	Jilin University	brain
Debesh JHa	UiT - The Arctic University of Norway	Alzheimer's disease
Ranjeet Jha	Indian Institute of Technology Mandi	Diseases, Disorder, MRI, fMRI
meng Jhon	CUST	Deep learning
Minsu Ji	KAIST	fNIRS
li ji	xibeidaxue	medical image super resolution
huanhuan ji	Guilin University of Electronic Technology	classification
Zhiwei Ji	The University of Texas Health Science Center at Houston	multi-omics, systems biology, predictive model
Peng Ji	Fudan university	Cascading, Networks
Gong-Jun JI	Anhui Medical University	white matter, MRI, brain
huanhuan Ji	Guilin University of Electronic Technology	classification
jun ji	Yunnan University	TGL algorithm predict
shanling ji	lanzhou university	AD
Hong Jia	UNSW	GAN
chu jiahuan	Donghua University	AD,MRI,Clinical data,Multi-class
Caiqing Jian	Guizhou University	MRI, CNN, Deep Learning
Zheng Jian	XiDian University	AD classification
Richard Jiang	Dr	Machine Learning, Deep Learing
Teng Jiang	Nanjing First Hospital	Alzheimer's disease, Neuroinflammation, Biomarker
Peihao Jiang	Shaanxi Normal University	brain function networks Alzheimer's disease
Wenhao Jiang	The University of Hong Kong	MRI, medical imaging, motion removal
Lingxiang Jiang	Taizhou First People's Hospital	Vascular endothelial growth factor; neurogranin; synaptic dysfunction; Alzheimer
yitong jiang	the University of Queensland	doing research
jingwan jiang	ShenZhen university	neural network;fMRI
shan jiang	Sensetime Innovation	research
Zhenqi Jiang	Dalian University of Technology	Alzheimer,ICA,convolutional neural network (CNN),hierarchical diagnostic feature
Kening Jiang	Johns Hopkins Bloomberg School of Public Health	N/A (only for study)
Yating Jiang	The Center South Unversity	U-Net
Songhao Jiang	University of Chicago	brain, disease, MRI
Wenjing Jiang	Northeastern University	fMRI, structure MRI, MMSE, MCI
Junjun Jiang	Harbin Institute of Technology	image processing, classification, machine learning
Xiong Jiang	Georgetown University Medical Center	MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
Hongliang Jiang	Southease University, China	AI, machine learning
Hongchao Jiang	Nanyang Technological University	Artificial Intelligence
Shu Jiang	Harvard Medical School	out-of-sample validation
li jiang	BEIJING UNIVERSITY OF TECHNOLOGY	image fusion,pet
Shaozhi Jiang	University of Massachusetts Lowell	Prediction, Deep Learning, Computer Vision
Biguo Jiangnan	Lanzhou University	research
Bai Jiaqi	Chongqing university	Parkinson's disease
cai jiatong	Shanghai Maritime University	pet
zhang jiaxu	jiangnan university	medical image segmentation
Han Jiayi	FuDan Univesity	TADPOLE; Machine Learning; Alzheimer's Disease; Mild Cognitive Impairment
wang jiayi	BUAA	Deep reinforcement Learning,image recognition
Li Jie	Beijing Jiaotong University	machine learning;early diagnoses;AD
ji jie	Shantou University, GuangDong Province ,China	deep learning
Adolfo Jiménez-Huete	Hospital Ruber Internacional	Differential diagnosis; Gray matter volumetry
Antonio Jiménez-Marín	Biocruces	multi-scale brain connectivity, AD severity stages, neuropsychology
Koji Jimura	Keio University	resting state fMRI, behavioral testing, functional connectivity
Xuehong Jin	Hebei Normal University	jxhnm104542@j
haihong jin	Oregon Health and Science University	alzheimer, comarison
Liu JIn	Northeastern University	1998918ZMB
Xuehong Jin	Hebei Normal University	jxhnm104542@j
YIn JIn	Justice Resource Institue	PET Depression, antidepression medications
Cheng-Bin Jin	Inha University	MR image synthesis; cycle consistent; generated adversarial networks; CT-based r
Yan Jin	University of California, Los Angeles	DTI
Deepak Jindal	mait	deep learning project
Liu Jindong	Hunan normal university	Function Link
Liu Jindong	Hunan normal university	Function Link
PANG JING	LIAOCHENG UNIVERSITY	76528425123
zhang jing	nanchang university	adni
Bin Jing	Capital Medical University	fs-fMRI, sMRI
pei jingjing	yunnanminzu university	Research, Graduation thesis design
wang jingqiang	Zhejiang University Of Technology	medical image analysis
feng jinjia	renmin university of china	paper verification
sun jinkao	Beijing University of posts and telecommunication	privacy
Hyeongmin Jo	Hanyang university erica	CNN, 3D-CNN
Jun Jo	Griffith.edu.au	Deep Learning
Hang Joon Jo	Mayo Clinic	RS FMRI
Arthur Jochems	Maastricht University	Deep learning, radiomics, automatic segmentation
Karan Jodha	Vellore Institute of Technology, Vellore	CT-Scan,Alzheimer's disease
Jubitta John	Rajagiri school of engineering and technology,Kochi	Deep CNN , Alzheimer ,MRI , multi-class classification
Stian Johnsen	BrainMiner Ltd.	CAD, AD, Software validation
Sterling Johnson	University of Wisconsin-Madison	tau, amyloid, pre symptomatic
Bryce Johnson	University of Wisconsin-Madison	PET Scans
Caleb Johnson	The University of Texas at Austin	University Student Research
David Johnson	UC Davis	Cognitive Impairment, longitudinal decline, Neuropsychology
Stephen Johnston	Swansea University	Prosopagnosia, VBM, MRI
Jane Johnston	Neurotez Inc	Leptin, clinical trial, Alzheimer's
Erin Jonaitis	University of Wisconsin-Madison	education, reproducibility, open science, computing
Richard Jones	Brown University	testing, practice effects
Ryan Jordan	Brain Health Registry (UCSF)	ADNI, BHR
Anthony Joseph	Unite Genomics, Inc.	GWAS, disease progression, drug response models, machine learning, image analysi
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
Anand Joshi	USC	MCI, cortical thickness
Jitesh Joshi	Tata Elxsi Ltd	DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection
Dhanashri Joshi	PICT,Pune	demo
Jasmina Jovanovic	University of Texas at Austin	SVM, DT, DNN, CNN
Božen Jovanovski	Faculty of Computer and Information Science, University of Ljubljana	MRI, deep learning, machine learning, MRI segmentation
Freimut Juengling	University Hospital Berne and PET/CT Centre Northwest Switzerland	SPM, AAL, SSP, PVC
Jihoon Jun	OCL	fMRI, alzheimer
Sun Jun	Beijing Jiaotong University	test algorithm
Gyungah Jun	Boston University	cognitive function, MRI, genome-wide association study
Soukwon Jun	Seoul National University	UNET
Wang Jun	Xuanwu Hospital Affiliated to Capital Medical University	AD,SCD,Neural imaging
Wang Jun	LAN ZHOU UNIVERSITY	w23161925
Ho Yub Jung	Chosun University	localization, machine learning, neural network
Wonsik Jung	Korea University	sMRI, Alzheimer's disease
Merel Jung	Jheronimus Academy of Data Science	Deep learning, Medical image-to-image translation
Wonmo Jung	VUNO	Alzheimer's Disease, Deep Learning
Euijin Jung	DGIST	Deep learning, MRI, PET, Synthesize,
Kwanghee Jung	Texas Tech University	Quantitative
Hyeyoom Jung	HGU	artificial intelligence detecting Alzheimer’s disease from MRI scans
Wen Junling	Shanghai university of traditional Chinese Medicine	fMRI, hippocampus，functional connection
Li Junwei	none	fMRI ML
Roos Jutten	VU University Medical Center	Alzheimer's disease; composite scores; clinical progression
Simona Juvina	UPB	quqixun/BrainPrep
Yoon juyoung	Hankuk University of Foreign Studies	dementia, deep learning
Assil Jwair	Jheronimus Academy of Data Science	Data Science, Neural Networks, Training
Fong Jx	UTM	Deep Learning, Hippocampal
monika jyotiyana	central university of rajasthan,Bandarsindri	AD,neurodegenerative disorders,
gopinath k	P.A.College Of Engineering and Technology	alzheimer's disease detection
RAGHAVENDRA K	NIMHANS	PET
Vishnu K	Jyothi Engineering College, Cheruthuruthy, Thrissur	TADPOLE challenge,neural imaging,alzheimer's disease,
L K	UoY	BA47, Alzheimers, hippocampus
Prithvi K Balehannina	10th class student , Delhi Public School , Hyderabad	Deep learning , Neurodegenerative diseases, PET , fMRI, biomarker
Aneesh K N	Sri Jayachamarajendra college of engineering	Deep learning, MCI, Alzheimers, AI
Shreya K R	Indian Institute of Science, Bangalore	Machine learning, predictive analysis, mild cognitive impairment
Srinivasan K S	Madras Institute of Technology	Research
Iswarya K V	Amrita Vishwa Vidya Peetham	Complex network, diagnosis
RAMA KAALIA	NANYANG TECHNOLOGICAL UNIVERSITY	ADNI Genetic data, Gene Interactions
Amin Kabir	Simon Fraser University	classification
Neda Kaboodvand	Karolinska Institutet	functional connectivity; brain injury; neuropathological signs of AD
Mouloud Kachouane	USTHB	Alzhaimer dMRI DTI
Claus Kadelka	Iowa State University	topological data analysis, Alzheimer's disease
Kylie Kadey	Wayne State University	MCI, Apolipoprotein E, Body Mass Index, Alzheimer’s Disease, Risk Factors
Hafid Kadi	Univ	Dataminig
rahele kafieh	isfahan university of medical sciences	fmri, classification, graph
Zeynep Kahraman	Boston University	fmri, dynamical network, function states,
Li Kaicheng	Zhejiang University	930606CC
Bernhard Kainz	Imperial College London	machine learning; decision support; automated diagnostics and prediction
Marcus Kaiser	Newcastle University	connectome analysis, computer simulations, network dynamics
Akihiro Kakimoto	Hamamatsu Photonics K.K.	FDG, amyloid
Lisa Kakinami	Concordia University	cognition; longitudinal; brain atrophy
OYA KALAYCIOGLU	BOLU ABANT IZZET BAYSAL UNIVERSITY	biostatistics, repeated measurements, machine learning, missing data analysis
Vandana Kale	AISSMS IOIT	MRI brain images
PADMA VASAVI KALLURU	SHRI VISHNU ENGINEERING COLLEGE FOR WOMEN	simulated puzzles,mind exercises
Meeta Kalra	Concordia Univerity	Tumour
TAE-EUI KAM	UNC	Deep learning, AD, MCI, Classification
sadia kamal	Hallym University	research
Takashi Kamatani	National University Corporation Tokyo Medical and Dental University	deep learning, prediction of onset, prediction of prognosis
Rohit Kamath	Vanderbilt University Medical Center	brain localization and brain lesions in Alzheimer's patients
Ocima Kamboj	Indian Institute of Science	ASL-Perfusion
Josh Kaminker	Genentech	clinical trial
Rasool Reddy Kamireddy	vellore institute of technology university	MRI, Segmentation, Machine Learning
Adel kamli	Linfi laboratory	deep learning
Faeza Kamran	Shaheed Zulfiqar Ali Bhutto University of Science and Technology (SZABIST)	Alzheimer's Disease Prediction
mohsen kamrani	Tabriz university	Alzheimer, mild cognitive impairment, classification
Chi Nok Enoch Kan	University of Minnesota	Deep Learning
Cheuk Ni Kan	National University of Singapore	Amyloid, neuropsychiatric symptoms
Ahmad Kanaan	AbbVie Inc.	resting state, gradients, gene expression
Nagaendran Kandiah	National Neuroscience Institute	dementia, stroke, small vessel
Tomoki Kaneko	shinshu university	visual rating system
Gregory Kanevsky	H2O.ai	ML research automl
Do-Young kang	Dong-A university hospital	Resnet, transfer learning
Hee-Ju Kang	Chonnam National University Hospital, Gwangju, K	MCI, AD, genetics, sequencing
Hyunseung Kang	University of Wisconsin-Madison	causal inference,
Jiyoung Kang	Yonsei University	fMRI, DTI, PET, bioinformatics
Jian Kang	University of Michigan	Statistical methods, GPU
Hakmook Kang	Vanderbilt University	functional connectivity, spatio-temporal model
Jujiao Kang	Fudan University	Brain atrophy
Ju Hee Kang	Inha University	A-beta42, tau, phospho-tau
cheol kang	SAS	ANDI
YUN SEOK KANG	The Ohio State University	Post mortem human surrogate
Hyeon Kang	Institute of Convergence Bio-Health, Dong-A University	ML, AI
Jian Kang	Arizona State University	network mining
SUNG HOON KANG	Samsung medical center	Alzheimer's disease
Nirmal Kannan	Paavai Institute	Alzheimer
balaji kannappan	chosun university	hippocampal subfield
Yash Kanojia	Medicaps	Prediction of alzheimer
Monia Kanoun	National School of Engineers of Sfax - enis	mult
Anuraag Kansal	Evidera, Inc.	simulation, model, clinical trial
Merve Kantarci	Hacettepe University	Computer Vision, Bachelor Project
Adam Kaplan	University of Minnesota	Joint and Individual Variation Explained
Nicole Kaplan	Cleveland Clinic Lou Ruvo Center for Brain Health	Alzheimer's Disease, MCI, Sex Differences
Abhay Kapoor	Dublin Business School	Neurology, medical science, MRI scan
Arunima Kapoor	Sunnybrook Health Sciences Centre	Cognition; Functional Outcome; Alzheimer’s disease
Saurabh Kapur	Indraprastha Institute of Information Technology Delhi	Alzheimer, diagnosis, segmented MRI, PCA, SVM, PLS, ADNI database
Shubhashish Kar	Bangladesh University of Engineering & Technology	Research , Disease Progression Modeling
Vania Karami	1987	CAD system, Alzheimer disease
Tomas Karella	Faculty of Mathematics and Physics	Deep Learning, Alzeimer disease, classification
Michelle Karker	University of Michigan	Classification; deep learning
Daniel Karlin	Pfizer, Inc.	Data, Transmart
Chiheb Karray	CNRS (Digital Research Centre of Sfax)	Machine Learning, Data Integration, Biomarker Discovery
alireza kasaei	Fudan University	PET MRI T-test
Akihiro Kasahara	University of Tokyo Hospital	fast imaging techniques
Wataru Kasai	Splink, Inc.	MCI due to AD, MRI, Neural Network
Satyananda Kashyap	IBM	deep learning, fusion, multi-modal classification
Panagiotis Katsonis	Baylor College of Medicine	Evolutionary Trace
Prabhjot Kaur	CU	MRI, sMRI , sparse representation
daman kaur	ulster university	Alzheimer's disease
Rachneet Kaur	University of Illinois at Urbana Champaign	Research, Clinical, Image Analysis
John Kauwe	Brigham Young University	mitochondrial copy number, Alzhiemer's disease, genetics
Martin Kavec	home	brain morphology
Fahrettin KAYA	Kahramanmraş Sütçü İmam University	Multistate Models, Markov Models, LSTM(long short term memory)
ahmet kaya	Osmangazi Univesity	alzheimer disease
Safak Kayikci	Abant Izzet Baysal University	Image Processing Harmonization
Zahra Kazemi	Tehran University of Medical Sciences	mci, ad, pctchange, wmh
amin kazemi	pesonal	kkk
Anees Kazi	Technical University of Munich	Deep learning, data retrieval, machine learning
Ieva Kazlauskaite	University of Bath	Non-parametrics, Uncertainty quantification
Weimao Ke	Drexel University	searching, processing, classification
hengjin ke	Wuhan University	classification, machine learning, feature extraction
Hope Kean	MIT/Harvard Med/MassGen Hospital	data science, modeling, cognitive
Aman KEdia	Birla Institute of Technology and Science	deep learning, Convolutional neural networks
Anna Kędziora	WUT	ASL
Thomas Kelleher	Bristol-Myers Squibb Co	exploratory analyses, clinical trial endpoints
Brenton Keller	USC - Laboratory of NeuroImaging	age-related degeneration morphometry
Sean Kelley	Trinity College Dublin	network analysis, connectivity
Diarmuid Kelly	Cork Institute of Technology	Distributed Machine Learning, Federated Learning, Artificial Intelligence
Frank Kelly	Neuradyne Systems	fastai, CNN, deep learning
Tom Kelsey	University of St Andrews	Deep forest, CNN, biomarkers, clinical support
Bawar Kemal	Rem	Alzheimers Disease
Péter Kemenczky	Hungarian Academy of Sciences, Research Centre for Natural Sciences	machine learning, deep learning, artifact detection
kevin kennedy	St. Luke's Hospital	Kidney Function
Nicole Chwee Har Keong	National Neuroscience Institute	Normal Pressure Hydrocephalus, MRI, DTI, biomarkers
Nivea Kesav	COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY	ALZHEIMER'S DISEASE DEEP NEURAL NETWORKS
Zafer Keser	University of Texas Health Science Center at Houston	Cognitive decline, Networks, Connectivity analyses.
Krishna Nand Keshava Murthy	MSKCC	pixel labeling
Ronak Keshavarzi	Islamic Azad University of Tehran Medical Branch	Alzheimer’s disease and inflammatory doseases
Shelli Kesler	University of Texas MD Anderson Cancer Center	cancer Alzheimer's connectome chemotherapy
Daniel Kessler	University of Michigan	Statistics, Machine Learning, DWI
shwet ketu	BHU	Health dataset
Kai Yin Keung	City University of Hong Kong	machine learning
April Khademi	University of Guelph	brain segmentation, white matter lesions
menna khalid	Ain shams university	graduation project - Alzheimer - bioinformatics
Abdullah Khalili	University of Hormozgan	White Matter Segmentation, Convolutional Neural Networks
Afreen Khan	Aligarh Muslim University	Alzheimer's disease, machine learning, big data
RUHULLAH KHAN	RAJIV GANDHI UNIVERSITY	ALZHEIMER'S DISEASE, BIOMARKERS, CLASSIFICATION TECHNICS, FEATURE EXTRACTION
Ahmed Khan	Thadomal Shahani Engineering College	ahmedraza
Naseer Khan	Northwestern Polytechnical University	fMRI
Aqib Khan	Air University	ISML
RIYAJ UDDIN KHAN	INDIAN INSTITUTE OF TECHNOLOGY, INDORE	disorders
Badhruddouza Khan	Khulna University of Engineering & Technology	MRI,Deep Learning
irfan khan	quest	VDSR
Imran Ali Khan	VIT	ADNI Machine Learning Analysis
anand khandekar	vishwaniketan	AD, MCI, Machine Learning
Sumit Khandelwal	MITAOE	Alzheimer, Brain Cancer, Dementia
shaghayegh khanmohammadi	tehran university of medical sciences	MCI, alzheimer, biomarkers , PETscan, neuropsycological tests,
Sergey Kharis	HSE	Alzheimer, fMDI, clustering
Uttam Khatri	chosun university	classification of AD and NAD
Devi Prasad Khatua	Boston Consulting Group	Computer Vision
Ammad ul Islam Khawaja	NUCES	image fusion
Ali Khazaee	Babol University of Technology	resting-state fmri
Andrei Khegai	Alatoo International University	Analysis, prediction
Mohamed Salah KHlif	Florey Institute - Melbourne	stroke AD hippocampus
Zeynab Khodakarami	NBML	brain, tumor, eeg
Zeynab Khodakarami	NBML	brain, eeg
Mizanur Khondoker	King's College London	Machine Learning, Statististical Genetics, Imaging QTL
Sok Kean Khoo	Grand Valley State University	biomarker
Artem Khoroshev	Novosibirsk State Technical University	automation MRI alzgaimer cnn
Rahman Khorramfar	NC state University	Statistical Analysis, Variable Selection, Outlier Detection, Knowledge Discovery
Hidayah Husnul Khotimah	UPN "Veteran" Jakarta	alzheimer
Shreya Khurana	University of Illinois at Urbana-Champaign	Alzheimer's Disease, Autism, autoencoder, deep representations, structural MRI
mahapara khurshid	IIIT, Delhi	Research
Nadav Kiani	Afeka	Engineering, Project
Steven Kiddle	University of Cambridge	statistics
Kelley Kidwell	University of Michigan	hypothesis testing, regression
haneol kijm	Seoul National University	volume entropy, metric graph, topological data analysis
Masataka Kikuchi	Osaka University	eQTL, GWAS
Masashi Kikuchi	MSD K.K.	cognitive measurements progression
Umit Kilic	Adana Alparslan Turkes Science and Technology University	image processing, AD diagnosis
Ron Killiany	Boston University School of Medicine	regions of interest, neocortex, hippocampus, entorhinal cortex
Soo-Jong Kim	Korea University	brain
DAE HYUN KIM	VHS medical center seoul	brain atrophy
Sang-Young Kim	Gachon University of Medicine and Science	pICA, MCI, AD, multi-modality, tau, amyloid, functional connectivity
JEE WOOK KIM	Hallym University Dongtan Sacred Heart Hospital	subjective memory complaint, , Alzheimer's disease, MCI, cognitive normal
Chanwoo Kim	University of Korea	deep learning, machine learning
Byung-Hoon Kim	Korea Advanced Institute of Science and Technology (KAIST)	fMRI, machine learning
Seong Tae Kim	TU Munich	longitudinal analysis
Geonuk Kim	Korea Uni.	Deep Learning
Hyunjin Kim	Yonsei University	fMRI
Young Ju Kim	Samsung Medical Center (South Korea)	APOE, cognition, MCI
ki hwan kim	KAIST	deep learning, MRI, reconstruction
Wook Kim	Korea Institutes of radiological and medical sciences	MRI, patient demographics, deep learning
IL KU KIM	Griffith University	DEEP LEARNING
Seong Yoon Kim	Asan Medical Center	cognitive reserve, brain reserve, conversion
Minseon Kim	KAIST	fMRI, Deep learning
Sung-Woo Kim	Korea University	Neurodegeneration, Amyloid, Tau
Hyun Joo Kim	Seoul National University Hospital	AD, biomarker, PET
Daehan Kim	Korea University	alzheimer, sequential prediction
Seong Yoon Kim	Asan Medical Center	MCI, Cortical thickness, US vs. Korean
Grace Kim	Seoul National University	Sex Differences, Alzheimer's Disease, Mild Cognitive Impairment
Giselle Kim	University of Southern California	QC abeta tau
Soyun Kim	UC Irvine	vision, hearing loss, biomarker, cognitive decline
Do-Hoon Kim	Asan Medical Center	Qunatification
Suhong Kim	KAIST	Alzheimer's dementia, deep learning
Yejin Kim	The University of Texas Health Science Center at Houston	Cognitive assessment, medication
Chi-Hun Kim	University of Oxford	Race, APOE, Amyloid
Heeyoung Kim	Kosin University Gospel Hospital	DTI, Amyloid, Alzheimer's dementia
Nakyoung Kim	MIDAS IT	freesurfer
C. Kwon Kim	Holmusk	Alzheimer’s disease, predictive model, simulation, machine learning
Jeonghun Kim	Korea University	neuroimage
SOYEON KIM	Ajou University	graph, network analysis, alzheimer's disease, disease prediction
Hang-Rai Kim	Korea advanced institute of science and technology	Amyloid, MCI, Deep Learning
Byungjai Kim	Korea Advanced Institute of Science and Technology	MRI, Machine learning, Computer aided diagnosis
Sunghee Kim	Gettysburg	alzheimer, diabetes
Jong Hun Kim	Samsung medical center	GWAS, biomarker, prediction
Do-Hoon Kim	Kyungpook National University Hospital	Quantitative method, amyloid PET
Manho Kim	Seoul National University Hospital	Alzheimer disease, Predict, Progression
taegyu kim	DEEPNOID	Deep Learning
SUNHO KIM	KAIST	Tumor segmentation
Jeongchul Kim	Wake Forest University Baptist Medical Center	Brain imaging, Biomechanic, Deformaiton, MCI/AD
Sungeun Kim	State University of New York	imaging genetics
Jeongsik Kim	Samsung Medical Center	FDG-PET; epilepsy, metabolic changes
Sangwook Kim	Korea university	radiomics
Jaeho Kim	Samsung Medical Center	alzheimer's dementia
bohyun kim	hanyang univerisy	imaging genetics
Jun Pyo Kim	Samsung Medical Center	Machine learning, Tau PET
Yaeji Kim	Korea Advanced Institute of Science and Technology	Alzheimer’s Disease, neurodegenerative, connectivity
Hwa Pyung Kim	Yonsei University	Deep learning
Chanmie Kim	Massachusetts General Hospital	tau, cortical thinning, Alzheimer's disease
Donghyeon Kim	GIST	segmentation
Hosung Kim	LONI USC	PET, AD, disease progression
Jaesik Kim	Ajou University	deep learning, GAN
YOONJIN KIM	hallym university	SCD, MMSE, MoCA
Donghyeon Kim	Gwangju Institute of Science and Technology	Dementia, Alzheimer's disease, deep learning
Woo Sung Kim	Chonbuk National University	AD; MCI
jungjun kim	korea university	alzheimer
MINSEOB KIM	KAIST	Deep learning, VBM, prediction, computer aid diagnosis
Yangsik Kim	Asan Medical Center	follow-up, deep learning, Alzheimer's disease
JI YOUNG KIM	SNUH	PET
Wook Kim	Seoul National University	Deep learning, AD, MCI
Hyug-Gi Kim	Kyunghee Univ. Hospital	AD; pattern recognition; deep learning