ADNI | Active Investigations

Active Investigations

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

Investigator	Institution	Keywords
ANIMESH KUMAR --	National College of Ireland	BRAIN AGE, MRI, DEEP LEARNING, PREDITION
Mayank .	IIT BHU Varanasi	GAN
sakshiwala .	National institute of technology patna	mild cognitive impairment, resting functional MRI, brain functional network
6 78	National Taiwan University	starrain0819
a a	a	a
Thushara A	TKM College of Engineering	AD,MCI,Brain graph, rsfmri,DTI,Tractography
Revathi A	SRM Institute of Science and Technology	machine learning
Sai Darahas A	National Institute of Technology Andhra Pradesh	neuroimaging
Srinivasan A	CSIR-CMERI	Alzheimer's Disease
Suganya A	VIT University	Alzheimer, classification,deep learning
Shravya A	VCET Puttur	MRI
Shrihari A	IIT Guwahati	MRI, T1, HV, CNN
Dinu A J	Noorul Islam	AI,Alzheimer's disease
sunija a p	National Institute of technology Tiruchirapallli	biomarker, OCT, artificial intelligence
Anusha A S	IISc	Machine learning, Pattern identification
Yassine Aakil	UMASS Lowell	AI, MRI, CT, Brain
nima aalizade	rs	cnn
Fatemeh Abadian	Iran University of Science and Technology	Deep learning, Weakly supervised, Classification, MRI
Brennan Abanades Kenyon	Oxford Univerity	segmentation, volume estimation, FSL
Somayeh Abasabadi	Alzahra univercity	FMRI,MRI,AD,deep learning
Hawraa Abbas	Kerbala University	Dementia classification
Zeeshan Abbas	Jeonbuk National University	deep neural network, Alzheimer, omics
Syed Qasim Abbas	La Trobe University, Melbourne	Discriminate Atrophy Localization
Tayaba Abbasi	Khalifa University	Dementia, machine learning
Kainat Abbasi	Habib University	3DCNN, Adam(), SGD()
ali abbasi	Urmia University of Technology	Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne
walid abbassi	esprim	4MG69
abd elazeim abd alla mohamed nour	south east university	MRI,AD,MCI
Zahraa Abdallah	University of Bristol	Machine learning, time series, multi-modalities
Moloud Abdar	Institute for Intelligent Systems Research and Innovation (IISRI)	deep learning, Fusion, uncertainty quantification
Doha Abdelaal	AinShams	Graduation project-AlZahimer MRI
Mohamed Abdelaziz	Shenzhen university	Alzheimer’s disease, multimodal data
REEM ABDELAZIZ	cairo university	research
Eman AbdElhalim	Mansoura University	alzeihmar
LEBAL Abdelhamid	ensh blida	deep learnin, attention mechanism, neural network
LEBAL Abdelhamid	ensh blida	deep learnin, attention mechanism, neural network
Moro abdelhamid	Ain Shams University	epistasis and SNPs
Akram Abdelkarim	King Fahd University of Petroleum and Minerals	disease progression, time series analysis, MRI
Shereen Abdelnabi	Humboldt Universität	Alzheimer's disease, Mprage, SWI, phase images, APOE-ε4 alleles
Mohamed Abdelsalam	Mansoura University, faculty of Engineering	fractal analysis, biomedical engineering
Mohamed Abdelsamea	Birmingham City University	Deep learning; multimodal
Mehdi Abdollahpour	Amirkabir university of technology-Tehran Polytechnic	Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN
Yousry AbdulAzeem	Misr Higher Institute for Engineering and Technology	Alzheimer, CNN, deep learning
Ahmed Abdulkadir	University of Freiburg	classification, machine learning
Osama Abdullah	NYU Abu Dhabi	Freesurfer, DTI
Mohammed A M Abdullah	Ninevah University	fMRI, machine learning, AD, classification
Azian Azamimi Abdullah	Universiti Malaysia Perlis	Alzheimer’s disease (AD), MRI, machine learning, prediction tool
Hassan Abdulrasul	University of Toronto	neurodegeneration
Kie Abe	Yokohama City University School of Medicine	neuroinflammation
Masahiro Abe	Juntendo University	Alzheimer's desease
Ali Abedi	Toronto Rehabilitation Institute	Federated Learning, Healthcare Informatics, Medical Data Analysis
Clement Abi Nader	INRIA	Alzheimer's disease Disease progression model Machine learning
Tracy Abildskov	University Of Utah	Mild TBI
Rahib Abiyev	Near East University	research
Mohammed AboArab	Facullty of Engineering, Tanta University	deep learning, unsupervised learning, affine image registration, deformable imag
Samaneh Abolpour Mofrad	Western Norway University of Applied Sciences	Alzheimer, Mixed effect model, Machine Learning, ventricle, Hippocampus
vahid abootalebi	Yazd University	biological signal processing, Graph signal processing
Tisha Abraham	GE	Deep Learning
Yonatan Abrham	University of Massachusetts Lowell	Healthcare, deep learning
Anees Abrol	The Mind Research Network	Multimodal, AD, MCI, Progression
John Absher	University of South Carolina Greenville	TBI exosome AD morphometry
Yasmine abu adla	RHU	AI biomedical enginerring medical imaging
Mohamed Abu Sheha	University of South Florida	Dementia, Machine Learning, Statistical Modeling.
samah Abuayied	Umm Al-qurah university	AD
Mohammed Abuelem	Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imag	APOE4, mild cognitive impairment, amyloid plaque burden
Linah Abuhajar	King Fahd University of Petroleum and Minerals	Alzheimer, PET, MRI, Machine Learning
Francisco Javier Acevedo	University of Alcala	PET, MRI, CSF biomarkers
Sreenath Acharath	University of Glasgow	Survival Analysis, Machine Learning
Sajib Acharjee	BUET	Multimodal data Imaging Early detection
Kalyan Acharjya	Maharishi University of Information Technology	Segmentation, Feature Extraction
Maria Ram Achary	University of Mumbai	AD,MCI,PD
MARIA ACHARY	University of Mumbai	AD,EMCI,MCI,LMCI,CN,PD
Sarah Ackley	UCSF	Alzheimers, Tau, Mathmatical Modeling
kazuamsa adachi	SORD CORPORATION	DTI-ALPS,ALPS-index
Noriaki Adachi	MSD. K.K. (Japan Branch of Merck)	threshold
Nikolaos Adaloglou	INSA	segmentation, medical imaging
Walter Adame Gonzalez	McGill University	Machine Learning, Dementia, TBI, MRI
Hieab Adams	Erasmus MC University Medical Center	Neurodegeneration, high-dimensional data, brain imaging, genetics
Tobias Adamsen	Aalborg University	Super resolution, PSNR, SSIM
Bertrand Adanve	Genetic Intelligence, Inc	Whole genome sequence, Artificial intelligence, Computational analysis
Arjun Adapa	University of Michigan	Segmentation, Image Analysis, Hydrocephalus
Stanislaw Adaszewski	F. Hoffmann - La Roche AG	imaging, genetics
Abdulyekeen Adebisi	Kyungpook National University, Daegu, Republic of Korea	Alzheimer's disease, dementia, MRI, PET
aya adel	cairo university	classification
Avizit Chandra Adhikary	Florida State University	Disease progression, Deep Learning
Prasad Adhiyaman	Vellore institute of technology, chennai	Ml model
Edward Adinkrah	Charles R. Drew University of Medicine and Science	sociodemographic, diagnostic, African American, Latinx
Katy Adler	Bar Ilan University	brain fc sc
khadar afghan	KLE's Technological University	mini project on segmentation on brain mri
Vera Afreixo	University of Aveiro	Data Analysis; statistics
Babak Afshin-Pour	BioSymetrics Inc	Biomarker, data fusion, Alzheimer
Joel Aftreth	Bernstein Center for Computational Neuroscience Berlin	convolutional neural network
Oluwaponmile Afuwape	Iowa State University	TMS
Sotiroula Afxenti	The Cyprus Institute of Neurology and Genetics	radiogenomics, radiotranscriptomics, imaging, omics
Sitara Afzal	Sejong University	Alzheimer's , Visualization, 3D model
Rehan Afzal	University of Newcastle	cnn
Iman Aganj	Massachusetts General Hospital / Harvard Medical School	Brain connectivity
Ishaant Agarwal	BITS Pilani KK Birla Goa Campus, Sancaole, Goa	Unet, segmentation, deep learning
Snigdha Agarwal	Heritage Institute of Technology	Alzheimer’s disease; graph theory; mutual information; network model; connection
Shruti Agarwal	JHU	fMRI
Rashi Agarwal	CSJM University	cognitive impairment, fMRI, sMRI
Ajay Agarwal	DIT University	Alzheimer's Disease, Progression
Tanay Agarwal	Vellore Institute of Technology	GAN
Varun Agarwal	N/A	The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge
Deevyankar agarwal	Higher College Of Technology	MRI,Alzhimer DIsease,MCI
Siddharth Agarwal	University of Nottingham	brain age, chronological age, delta, radionics
Amit Agarwal	USC	Tau, microglia, neurodegeneration
Abhi Agarwal	Health Banyan	Medical
Bless Agbley	University of Electronic Science and Technology of China	Federated ML, Multimodal Medical Analysis
Arshiya Aggarwal	Manipal University (MUJ) Jaipur	Alzheimer's, MCI, Early diagnosis, Convolution Neural Network
Anay Aggarwal	Stoller Middle School	behavior test scores
Kunal Aggarwal	Amity University	Machine Learning, AD, MCI
Atefe Aghaei	Shahid Beheshti University	image processing, segmentation, feature extraction, deep learning, classificatio
samira aghaie	Shahid Beheshti university	DTI
maryamossadat aghili	Florida International University	AZNI Harp Alzheimer
Asimina Aglamisi	Uiversity of West Attica	master, biomedical technology, thesis
Abramo Agosti	IRCCS Mondino Foundation	Neurodegenerative; Multimodal; Machine-Learning
Daniel Agostinho	Universidade de Coimbra	AD, Machine Learning
Vismay Agrawal	Indian Institute of Technology Madras	Medical Image Analysis
Shubham Agrawal	OVGU	ADNI
Ambuj Agrawal	Elucidata Inc.	Project, Alzheimers prediction, IIIT Allahabad
Christian Agudelo	University of Miami Miller School of Medicine	DTI, microstructure integrity, gray matter diffusivity, cognitive decline
Yésika Alexandra Agudelo Londoño	Universidad de Antioquia	dFC, resting state, based on task
Jorge Aguilar	District University Francisco Jose de Caldas	Machine Learning Alzheimer disease
Ramiro Aguilar Ordaz	National Polytechnic Institute	Alzheimer, convolutional neural network, digital image processing
Unai Aguilera	Mondragon University	PET, MRI, HSV
Rubén Aguilera García	Granada University	CNN, Alzheimer detection, deep learning.
Juan Aguirre	Universidad Nacional de Colombia	U-NET, deep-learning, brain
Ifeanyi Aguocha	Cyprus International University	Deep Learning, medical diagnosis, Neural networks
Md. Martuza Ahamad	Bangabandhu Sheikh Mujibur Rahman Science and Technology University	Deep learning; MRI; Medical image processing;
Kawser Ahammed	Jatiya Kabi Kazi Nazrul Islam University	alzheimer
Zoheb Ahasan	IIT Delhi	AD, Prediction
Jamila Ahdidan	Aarhus University	AD, hippocampus, prediction
Asha Aher	San Jose State University	Machine Learning Alzhmeirs
Jayshree Aher	MIT World Peace University, Pune	Machine Learning. Data Analyti
Muhammad Faraz Ahmad	Riphah International University Faisalabad	Alzheimer’s Disease
Rauf Ahmad	Uppsala University, Sweden	High-dimensions; Multivariate statistics; Linear models, Dependence measures
Shakeeb Ahmad	Indiana University	Alzheimer's Disease, Cerebral Amyloid Angiopathy
Fayyaz Ahmad	UNIVERSITY OF GUJRAT	SPM, FMRI
Hessam Ahmadi	Islamic Azad University, Science and Research Branch	fMRI, Non linear, graph theory, functional connectivity
Fatemeh Ahmadi	Amirkabir University of Technology	Alzheimer's disease-Ricci flow-Conformal Geometry
Kourosh Ahmadi	Computing and Engineering	Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net
Sara Ahmadi-Abhari	Imperial College London	Genome, Metabolome, Neurodegeneration, Functional connectivity, Machine learning
Sara Ahmadi-Abhari	Imperial College London	Genome, Metabolome, Neurodegeneration, Functional connectivity, Machine learning
Alaleh Ahmadianshalchi	Washington State University	Machine-Learning
Maryam Ahmadzade	Simon Fraser University	MCI, Machine learning, AD, Progression, Prediction
soheil Ahmadzadeh	Tehran University of Medical Science	Alzheimer,machine learning
SLAM AHMD	UNIVERSITY OF TLEMCEN	ALZHEIMER, Brain disease, Deeplearning
Khandakar Tanvir Ahmed	University of Central Florida	mutation, MRI image, Alzheimer
USAMA AHMED	Riphah International University	Machine Learning
ismail ahmed	University of Anbar	BRAIN ANALYSIS
Fahad Ahmed	Szabist University	computer vision, alzheimer’s disease, brain, mri
zubair ahmed	Nust university EME college Pakistan	Early Alzheimer Detection
Tasnim Ahmed	Islamic University of Technology	Biomedical Image Processing, Neural Networks, Machine Learning
Mughis Ahmed	UOG	Multiple sclerosis
zubair ahmed	Nust university EME college Pakistan	Early Alzheimer Detection
Tahera Ahmed	Bond University	Alzheimer's, Early Detection, Prediction
Kamran Ahmed	Daffodil International University	AD detection
Juweiriya Ahmed	Western University	Psychosis, AD
Sabbir Ahmed	Jiangnan University	CNN, Alzheimer's
Minkyu Ahn	Handong Global University	Alzheimer's Disease, Random Forest, Magnetic resonance imaging
Yong Yeol Ahn	Indiana University	network, multi-omics, data integration
Marco Aiello	Fondazione SDN	Diaschisis, PET, MR, connectome, brain connectivity
David Airey	Eli Lilly and Company	NfL hippocampus biomarker
Zou Aixiao	Beijing University of Technology	data mining，bioinformatics and brain science
Michael Aizenshtadt	University of Waterloo	machine learning, educational
Santiago Aja-Fernandez	Universidad de Valladolid	Diffusion MRI, anisotropy measures, robust estimation
NIBIN BIN RIYAS AK	VIT	ADNI
Hiroyuki Akama	Tokyo Institute of Technology	harmonization, resting-state functional connectivity, Deep learning
Go Akamatsu	NIRS-QST	Tau PET analysis
abrar akas	Jordan university of science and technology	`PARKINSON
Reza Akbari Movahed	Tarbiat Modares University	Alzheimer,Machine Learning, Deep Learning, MRI
Hadi Akbari-Zadeh	Mashhad University of Medical Science	Brain Image, Age, MRI
Erdoğdu Akça	Marmara University Pendik Training and Research Hospital	MCI, ALZHEIMER'S DISAESE
Osman Akcatepe	University of Hildesheim	Alzheimer's Disease, Spiking Neural Networks, fMRI, Artificial Intelligence
Adeem Akhtar	Forman Christian College University (A Chartered University)	Longitudinal, Progression, Classification, Prediction
Shoaib Akhter	KFUEIT	Alzheimer detection using SVM and LSTM
Vasily Akimov	HSE	Alzheimer, Neurovisualization
Grace Akindele	Hebei University of Technology, China	Alzheimer's diseases, autoencoder, Neuroimaging
Essang Akpan	University of Pittsburgh	lateralization, asymmetry
Mohammad Akradi	Shahid Beheshti University	OSA, AD, MCI
Farhan Akram	Khalifa University	Alzheimer, early prediction, convolutional neural networks, deep learning
Wasim Akram	East West University	detection, deep learning, early-onset Alzheimer, mri
Muhammad Haroon Akram	Bahria University Islamabad	ALPHA
Mina Akrami	Bahonar	MRI images
Alexander Aksenov	UCSD	metabolomics
Leon Aksman	USC	test
Leon Aksman	UCL	structural MRI, longitudinal analysis, imaging genetics
Mari Aksnes	University of Oslo	Biomarker course, statistical workshop, UGOT/UCL
PRATHYUSHA AKUNDI	International Institute of Information and Technology Hyderabad (IIITH)	Registration with deep learning
Lior Al	Technion	Unsupervised learning
MD MAMUN AL AMIN	University of Queensland	Hippocampus, Subiculum, CA1, Dentate Gyrus
Hasan Al Marzouqi	Khalifa University of Science and Technology	deep learning, residual networks, constitutional networks, SNPs
Talib Al Shehhi	DMU	ANN; AI; Cognitive Attribute; Functional Attribute; ML
Obada Al Zoubi	Laureate Institute for Brain Research	Machine Learning, resting-state fMRI, reproducibility
Hamada Al-Absi	Hamad Bin Khalifa University	Alzheimer Disease, prediction, deep learning
Bassam Al-Fatly	Charite University Medicine	fMRI, DTI, connectivity, severity
Mohammed Isam Al-Hiyali	UTP	diagnosis model
Ali Al-Nuaimi	Plymouth University	brain disorder
Khaleel Al-Rababah	DAKOTA STATE UNIVERSITY	DWT
SAMI AL-SHARABI	UNIVERSITI TUNKU ABDUL RAHMAN	deep learning CNN Alzheimer's disease prediction classification
Aws AL-ZARQAWEE	Universiti Malaysia Pahang	CNN,Softmax
FADHL ALAKWAA	MICHIGAN UNIVERSITY	drug discovery , drug repurposing
Raquib-ul Alam	University of Sydney	longitudinal,mri,mri,pet,genetic
Tanvir Alam	Hamad Bin Khalifa University	Alzheimer's Disease; Mild Cognitive Impairment; SNP; Machine Learning
FARIHA ALAM	university teknologi malaysia	neuro imaging, data process, neuroscience,
Md Ashad Alam	Tulane University	Robsut kernel, Machine lerning
Aftab Alam	Hazara university mansehra	no
Wang Alan	WTU	deep learn
Imad Alanbari	university of kufa	perdiction analysis
Oscar Alarcon Palomar	UNED	U-Net
Teresa María Alarcos Tamayo	WstartupC	ML, AI, Alzheimer
Serdar Alasu	Inonu University	Semantic Segmentation, Adversarial Learninng
Alessandro Alati	Università degli studi Roma Tre	Graduation thesys University Rome
Jessica Alatorre-Flores	Universidad Nacional Autónoma de México	Computer Vision, Machine Learning, SVM
Abbas Alatrany	Liverpool John Moores University	GWAS, Transfer learning, Alzheimer’s disease
dara alavi	ucl	Diabetes
Deborah Alawode	University College London (UCL)	Biomarkers
Raed Alazaidah	Universiti Utara Malaysia	Longitudinal data
Hadeel Albalawi	Univeristy of Aberdeen	Alzheimer’s disease, attribute selection, classification, data mining, dementia,
Ángel Alberich Bayarri	Quibim	Brain atrophy, MRI, Artificial Intelligence, longitudinal analysis
Ahmed Albishri	University of Missouri - Kansas City	MRI, Segmentation, Deep learning
Philippe Albouy	Université Laval	Morphometry
Tara Albrecht	Copenhagen Business School	gene, alzheimer, analyzing
Joey Albrecht	USC Keck School of Medicine	inflammation, pathology, conversion
Jack Albright	Nueva School	Machine Learning, Student, TADPOLE
Ruth Alcala Lozano	National Institute of Psychiatry Ramon de la Fuente	Mild Cognitive Impairment. rTMS. Neuromodulation.
Sarael Alcauter	Instituto de Neurobiología UNAM	sulcal width, Alzheimer,
khaled aldahish	the german university in cairo	Machine Learning, Alzheimer, neurodegenerative
Faten Aldhafeeri	University of Hafr Albatin	cortical thickness, grey matter, white matter
Turki Alelyani	Najran University	machine learning, Alzheimer, MRI
John Sahaya Rani Alex	Vellore Institute of Technology	Alzheimer's
Bomin Alex	Shandong University	fMRI, dynamic functional connectivy
Robert Alexander	Banner Alzheimer's Institute	CDR
PANAGIOTIS ALEXOPOULOS	University of Patras	neuropsychiatric symptoms, AD, activities of daily living
Ahmed Samir Alfaar	Charite medical university - Berlin	Brain Cancer, Alzheimer's
Fidel Alfaro Almagro	University of Oxford	Defacing
Jaafar Alghazo	Prince Mohammad Bin Fahd University	Alzheimer; Image Processing; Deep Learning; Medical Diagnosis
Lea Alhilali	Barrow Neurological Institute	Diffusion tensor imaging
Muhammad Ali	Washington University in St. Louis	Amyloid, Imaging, GWAS, genetic, biomarker, AD.
doaa Ali	University of kentucky	Preclinical AD - amyloid PET images_ Cognitive function tests
Obaï Bin Ka'b Ali	Concordia University	functional integration, multiscale dialogue, intrinsic networks
Mohd Hanafi Ali	The University of Sydney	Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
Aya Ali	Nile university	Master project, data fusion, disease detection
YAQEEN ALI	Comsats university of Islamabad Lahore campus	White matter hyperintensities,ADNI,Segmentation
Samr Ali	Concordia University	machine learning, hidden markov models
shahad ali	Technical College of Management	MRI dataset
Nyurbek Aliev	None	Normal-pressure hydrocephalus, brain atlas, segmentation
Sadiq Alinsaif	University of Ottawa	classification; machine learning; deep learning; feature extraction
ahcen aliouat	university badji mokhtar of annaba algeria	deep learning, alzheimer
milad alipour	shahid beheshti university of medical science	Convolutional neural network GCNN Alzheimer’s disease classification
farzad alizadeh	tums	fmri,deep learning
Zahra Alkabbaz	University of Leeds	Alzheimer explainable classifier
Ghadeer Alkofahi	3	Alzheimer
Margaret Allard	University of Arizona	Diagnosis, Algorithms, Image Analysis
Shanmukh Alle	IIIT Hyderabad	Machine Learning, Disease diagnosis
Michael Allen	University of Exeter	synthetic gan gtn
Brandon Allgood	Integral Health	tau vaccine phII clinical trial design
bob alllen	kunming university of science	study
Randa Almaktoum	Massachusetts General Hospital	WM/GM Ratio AD
fatema almawed	damascus	MRI images of alzaheimer disease
Ina Almdahl	Oslo University Hospital	Cerebrospinal fluid Amyloid Depression
Mohammad Almerri	Indiana University Purdue University Indianapolis	Explainability, Aritifical Intelligence
Hannes Almgren	Ghent University	Effective connectivity, structural connectivity, cognition
Ibrahim Almubark	CUA	cognitive, neuropsychological
Fahad Almuqhim	Florida International University	Alzehimers, brain disorders
AMAL ALNASSER	KFSH	BREAST
Mohammed Alom	Cork Institute of Technology	Machine learning, Deep Learning,
Ana Claudia Alonso Freitas	UC3M	Longitudinal analysis. Structural imaging.
eya aloui	enstab	data set predict alzheimer
Shannon Alptekin	Stony Brook University	machine learning, clinical research, Alzheimer's Disease, pathophysiology
Hussain AlQatari	Misk Foundation/ General Assembly	student data research dementia prediction machine learning modeling deep neural
Saif Aldeen AlRyalat	University of Jordan	Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Omar Alsaif	Northern Technical University	hicampus, MRI, Alzheimer classification
Lama Alshabib	Lean Business Services	classification
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
Duncan Alston	University College London	p-tau 181
Israa Alsulaimi	Kennesaw State University	Machine Learning, Course Project
Muhammed Althaf	Cochin university of science and technology	MTECH project, Alzheimer disease early detection
Liora Altman-Sagan	Northwestern University	Alzheimer's disease probability, Bayesian inference
Andre Altmann	University Collage London	Imaging Genetics, Next Generation Sequencing
Lucca Altomani	Universidade Paulista (UNIP)	Alzheimer
Daniele Altomare	University of Geneva	biomarkers, Alzheimer, neuroimaging
Feras Altwal	Rosalind Franklin University	Alzheimer's disease
Erind Alushaj	Western University	QSM, MRI, Brain iron
David Alvarez	Asturias Central Hospital	segmentation, hippocampus, deep learning, alzheimer
Cláudia Alves	Universidade do Minho	MRI, Entorhinal cortex, Hippocampus, AD
Carlos Felipe Alves	University of São Paulo	Alzheimer's disease; Convolutional neural networks; Deep learning; Diagnosis; Mi
João Alves	Universidade do Minho	AD; MCI; Machine Learning; study grant.
siti nur atiqah alwi	university malaya medical centre	texture analysis and key features
Eghosa Amadin	Stanford University	diagnosis
Yahyah Aman	University of Oslo	Alzheimer’s disease, mitophagy, biomarkers
Ali Amanlou	Amirkabir University of Technology	machine learning , artificial intelligence , biomedical
Fatemeh Amanzadehsalut	Alzahra	Alzheimer’s disease
SAI SANTOSH AMBATI	NITK SURATHKAL	Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
udaya kumar ambati	IIT Hyderabad	Deep Learning, GAN, Transformers
Felix Ambellan	Zuse Institute Berlin	Disease classfication, Statistical shape analysis, Manifold valued statistics
Mangal Ambi	D.Y.Patil.International.University,Pune	Alzheimer, Parkinson, Brain , Neurodegenerative
Ananthan Ambikairajah	University of Canberra	Menopause, Ageing, Neuroimaging
LAMYA AMGHAR	INPT	CBIR,capsnet
Elena Amigo	University of Aberdeen	Volumetry, comedication
Manish Amin	University of Florida	fMRI, DWI
Sadia Amin	BRAC University	AD,Neural network
Engr. Amin	COMSATS University Islamabad - Wah Campus	volume
yahiaoui amina	Blida university	MRI/PET
ACHAIBOU Amina	Ecole national polytechnique d'alger	TEP , detection , neurodegenrative deseas
Eriza Aminanto	University of Indonesia	classification, alzheimer
Nasrin Amini	Shahid Beheshti University of Medical Sciences	Alzheimer , MRI, classification
Morteza Amini	Institute for Cognitive Science Studies	Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Hamed Amini	Tehran	913151001HaA
Yasin Amini	khuarazmi university	Prediction, ANN
Morteza Amini	Shahid Beheshti University	Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Fazel Amirvahedi	University of Tehran	blood biomarker
Osama Amjad	Bahria University	AD
Inge Amlien	Centre for lifespan changes in brain and cognition. Universitetet i Oslo	Lifespan, AD
Priscilla Amofa Sr.	University of Florida	iADLs, ECog, FAQ,
Nicola Amoroso	Università degli studi di Bari	Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
Joan Amos	University of Electronic Science and Technology	AD, rs-fMRI
Suleiman Ampah	University of Ghana	Machine learning, Classifiers, Detection
ZAREEN AMTUL	Independent Rsearcher	Alzheimer's disease, diagnosis
Lijun An	National University of Singapore	ML, AD
Xiao-Lin AN	Hebei University	Fine classification
Chaitali Anand	University of California, San Francisco	PET, atrophy, amyloid, tau, longitudinal, computational
Meenakshi Anbukkarasu	San Jose State University	Predicting conversion from MCI to AD
Sami Andberg	University of Eastern Finland	Alzheimer's disease, early detection, machine learning
Loretta Anderson	University of Maryland, Baltimore	APOE, Alzheimer's, Epigenetics
Christina Andica	Juntendo University Graduate School of Medicine	Diffusion MRI, Free-water imaging
Rene Andrade Rey	University of Alcala de Henares	vbm, alzheimer
Daniel Andreani	UBA	AD
Shea Andrews	Icahn School of Medicine at Mount Sinai	Alzheimer's disease; mitochondria; genetic variation
Sabina Andya	University of Indonesia	PET scan datasets
Azhar Anees	University of westminster	Quantum Machine Learning, Alzheimer's, Automation, MRI
Ayush Aneja	Thapar Institute of Engineering and Technology	Machine learning project
Izunna Aneke	University College London	machine learning, msc, mri
Farhan Angan	BRAC University	Alzheimar, Deep learning
Farhan Angan	BRAC University	Alzheimer, Deep learning
Spyros Angelopoulos	Tilburg University	AI, neural networks
Ferry Angkoso	ITS	CNN, multi feature
Ahmadi Anis	Faculty of sciences of Tunis	Alzheimer's disease, machine learning
Farhan Anjum	University of Management and Technology	CNN
Nick Ank	scetech	image to image translation, GANs
Wang Anlan	WUhan Textile University	deep learning, Alzheimer's
Jagadeeswara Rao Annam	Gudlavalleru Engieering college	Alzeimers progression satges
Shahab Ansari	GIKI	automatic brain segmentation, Alzheimer's disease, machine learning
FAIZAH ANSARI	MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA	RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION
MD SHAMSHAD ANSARI	Jadavpur University	Research, Master's Degree
Luigi Antelmi	INRIA	joint analysis; biomerkers
Georgios Antonopoulos	FZ-Juelich, Institute of Neuroscience and Medicine	Gray matter volume, age prediction
Febin Antony	Christ (Deemed to be University)	MRI, PET, Alzheimer's Data, Gray Matter. CSF
Nmachi Anumba	Georgia Institute of Technology	Alzheimer's disease, MR imaging, classifier
Muhammad Anwarul Azim	BRAC University	Feature selection, Diagnosis, Convolutional Neural Network, Optimization
Muzamil Anwer	Bahria University	335630
yueyuan ao	UESTC	image registration, deep learning
Mazin Aouf	Western Sydney University	Medical Research Datasets
Li Yew Aow Yong	Universiti Teknologi Malaysia	classification
Jeetashree Aparajeeta	VIT	alzheimer's disease
Xander Apicella	Cal Poly, SLO	Alzheimer's Disease, fMRI, MRI, Brain Imaging, Early Detection
CLAUDIA PATRICIA APONTE RESTREPO	UNIVERSIDAD DE ANTIOQUIA	ALZHEIMER'S DISEASE, GENETIC RISK, DYNAMIC CONNECTIVITY
Chatchawit Aporntewan	Chulalongkorn University	Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova	IU	AD biomarekrs
Abhishek Appaji	B. M. S. COLLEGE OF ENGINEERING	Machine learning, Alzheimer disease, stress, MR
Eline Appelmans	Foundation for the National Institutes of Health	PPSB
Dace Apsvalka	Medical Reseach Council	Hippocampus
Arsen Arakelyan	Institute of Molecular Biology NAS Armenia	spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis
Itsasne Arangoa	Mondragon Unibertsitatea	MRI preprocessing
Whemberton Araujo	CDI	PET FDG Dataset Normal Subjects
Gilderlanio Araújo	Federal University of Pará	association networks, non-coding RNA, eQTL, population genomics
Jose Aravena	Yale university	psychosocial; education; biomarkers; APOE-e4
Damiano Archetti	IRCCS Centro San Giovanni di Dio-Fatebenefratelli	computational models
Zaniar Ardalan	University of Arizona	Mild Cognitive Impairment, Convolutional Neural Network
Babak Ardekani	Nathan Kline Institute	MRI; Corpus callosum; shape analysis;
Eleni Aretouli	University of Deusto	intraindividual variability
Konstantinos Arfanakis	Illinois Institute of Technology	diffusion, DTI, registration
Konstantinos Arfanakis	Illinois Institute of Technology	mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker
nouha arfaoui	University	MCI
Ali Ozgur Argunsah	University of Zurich	AD detection, convolutional neural networks
Juan A. Arias	University of Santiago de Compostela	Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning
Kfir Ariel	Tel Aviv University	thesis, research methods, neurodegenerative diseases
Kazuto Arihara	The University of Tokyo Hospital	I will write it later.
Taylor Ariko	University of Miami	Alzheimer's disease, hearing
Taylor Ariko	Florida State University	DTI, Alzheimer's Disease, connectivity
Ivan Arisi	Fondazione EBRI "Rita Levi-Montalcini"	Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
Magnolia Ariza-Nieto	epIAWELL LLC	epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Hanieh Arjmand	University of Toronto	Alzheimer; Machine Learning, Medicss
Hanieh Arjmand	University of Toronto	Alzheimer; Machine Learning, Medicss
Steven Armentrout	Parabon Computation	MDR, epistatis, cloud computing
Rui Armindo	Hospital Beatriz Ângelo	ASL; Neuroimaging; Research; Teaching
Carmel Armon	Tel Aviv University School of Medicine /Shamir (Assaf Harofeh) Medical Center	X chromosome-mediated risk, LOAD
Matthias Arnold	Helmholtz Zentrum München	gaussian models, data integration, network analysis
Thomas Arnold	University of Pennsylvania	Cortical thickness, cortical atrophy
Victor Arnt	UFRGS	early stage, mri, pet, Biological Markers
Amit arora	ptu	MRI, Mammography, image processing, Deep learning, machine learning
Jai Arora	Netaji Subhas Institute of Technology, New Delhi	Na
ibad arrasyid	none	mri,brain
Marlene Arredondo	UCSD	Research
Fernando Arreola	Universidad de Monterrey	Alzheimer's disease, MCI, machine learning, classification, asymmetry, atrophy
Marianne Arriola	University of California, Santa Barbara	modeling, connectivity, progression, structural, functional
FARAMIDA ARSHAD	MULTIMEDIA UNIVERSITY	fara
Emilio Artacho-Perula	University of Castilla-La Mancha	Alzheimer, Euclidean distances, MRI
Oswaldo Artiles	Florida International University	human brain networks, dynamics, Alzheimer, network analysis
Eivind Arvesen	N/A	machine learning, deep learning, ai, neural networks
Ida Arvidsson	Lund University	Neuroimaging, deep learning
Akhilesh Arya	Manipal University Jaipur, Rajasthan India	Alzheimer's Disease, AD, MCI, Neuro-degenerative
Samyam Aryal	SRM Institute of Science and Technology	Deep learning, Image enhancement, Filters
Amirhossein Arzani	Northern Arizona University	hemodynamics, blood flow, perfusion
Nibal Arzouni	USC	AD, Imaging genetics,
Fatemeh Asadi	Tehran universityof medical sciennce	Alzheimer, machine learning
bahareh asadpour	ferdowsi university of mashhad	research, sMRI, AD, alzheimer's disease
Babak Asadpour	Shahid Beheshti University of medical sciences	Alzheimer's disease, magnetic resonance imaging, white matter hyperintensities
Joseph Junior Asante	University of Arkansas at Little Rock	Diagnosis of Alzheimer's disease
Maame Gyamfua Asante-Mensah	Skoltech	Neural Networks, Classification
adsad asdhkjashd	Stanford	ML AI
Moslem Asgari	ATA	Statistics
calvin Ashe	Maynooth University	Final year project; Students; Covid-19
Wes Ashford	Stanford	leptin, Alzheimer, blood, dementia
Miriam Ashford	NCIRE	Clinical
Olayide Ashiru	JHU Applied Physics Laboratory	precision medicine, Alzheimer's
vahid Ashkani Chenarlogh	Islamic Azad University Science and Research Branch	Super Resolution, Neural Networks, deep learning, image processing
rakhi ashok	IGNOU	ML
Naba Ashraf	GCUF	ASD
Azhaar Ashraf	Imperial College London	Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Amir Ashraf-Ganjouei	Tehran university of medical scienses	Machine learning, Neural network
mona ashtari	polytech	Alzheimer’s disease- MCI- classification
mohamadreza askari	raja	machine learning
Breton Asken	Brown University	risk score, conversion, multivariate base rate, amyloid, ATN
Brianna Askew	Alzheimer's Disease Cooperative Study	dementia, intervention, risk factors
Eric Aslakson	Poiema, LLC	adni transmart
farah aslam	University of engineering and technology,lore	research
Vahan Aslanyan	USC	ADNI
Toshihiko Aso	Kyoto University Graduate School of Medicine	BOLD signal, cerebral blood flow, venous drainage
arman atalar	Eskisehir Osmangazi University	deeplearning, alzheimer disease, apoe4
Meltem ATAY	MIDDLE EAST TECHNICAL UNIVERSITY	Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Meltem Atay	Middle East Technical University	Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Melvin Selim Atay	Middle East Technical University	Deep Learning, Explainability
Tushar Athawale	University of Utah	ensemble, uncertainty visualization
Umit Atila	Karabuk University	deep learning, classification, automatic disease diagnosis
Selamawet Workalemahu Atnafu	university of Bologna	Neurological disorder, Machine Learning, Alzheimer
Shamitha S Attur	Amrita Vishwa Vidyapeetham	Medical diagnosis, Fuzzy classifier, Machine Learning, Alzheimer's Disease
Alessia Atzeni	Queen Square Analytics	segmentation, atlas building, brain ageing
Yeuk Lai Au	The Chinese University of Hong Kong	Neurology, bioinformatics
Michel Audette	Old Dominion University	hippocampus, atrophy, prognostic biomarker
Joseph Austerweil	University of Wisconsin - Madison	Sequencing Biomarkers, Machine learning, individual differences
Nisha AV	Kalasalingam university	ALZHEIMERS,fMRI,enhancement,segmentation,classification
Ambili AV	Hindustan college of arts and science	Brain multiplex, Correlative analysis, Dementia, discriminant analysis DNN, Fi
Niranjan Avadhanam	self	Alzheimer
brian avants	Biogen	brain, thickness, ANTs, conversion, amyloid
Josue Avecillas	UCLA	PTSD DBS RNS
Linda Avena	Ludwig Maximilians Universität	blood brain barrier, glymphatic system, ADNI MEM, ADNI Exec, atrophy, MRI
Arman Avesta	Yale University	Deep learning, image segmentation, structural brain MRI
Luciano Ávila	FACIT	alzheimer pet-scan
Egils Avots	University of Tartu	MRI, image processing, nn, cnn
Shivangi Awasthi	Merck & Co.	Alzheimer's, biomarkers
Ibrahim Awinle	Crescent University, abeokuta	White Matter, White Matter Lesion, T2*W, T2, FLAIR, T1
Osama Awwad	Opentica	Alzheimer data
Sai Ayachit	The National Institute of Engineering	deep learning, major depressive disorders, MRI
Enes Ayan	Kırıkkale University	Alzheimer, Deep Learning, CNN, Medical Image Analysis
taha yassine ayari	esprit	Alzheimer AI DATA
Aida Ayati Afin	Mashhad university of medical sciences	MRI, deep learning, Alzheimers disease
Reina Ayde	Basel university	Deep learning image reconstruction
Beste Aydemir	Bilkent University	Course Projects, Alzheimer's, Bilkent University
Elif Aygün	Bilkent University	DTI, AD, CSF
Mighty Abra Ayidzoe	University of Electronic Science and Technology of China	Neural Network; Feature Engineering
Umme Aysha	University of Regina	Research
Scott Ayton	University of Melbourne	CSF amyloid b, tau, heart rate, blood pressure
deniz ayvaz	boğaziçi university	lstm, irregular time series
faiza Ayyob	university of okara	Alzheimer's Disease
Harry Azadbakht	TMU University	Alzheimer Disease, Prediction, Regression
Narges Azari Jafari	kashan university of medical sciences	brain aging apolipoprotein E alzheimer's disease
Emanuel Azcona	Northwestern University	Graph convolutional networks, machine learning, MRI, graph signal processing
Syed Furqan Azeez	Biocliq Technologies	Brain Tumor
Fayez Azeez	Our Memos Inc	cognitive decline
Ahmad Aziz	German Center for Neurodegenerative Diseases	genome-wide association study, neurofilament light chain, Alzheimer disease
aniza Aziz	xylexa	genomic data
Shahla Azizi	University of New Brunswick	MCI, Alzheimer, machine learning
Ahmadreza Azizi	Virginia Tech	deep learning classifier
Hadi Azizpour Lindi	Institute of Cognitive Science Studies	AD, predict AD, MCI, Alzheimer’s disease, Mild Cognitive Impairment
MIR AZRA	NIT Srinagar	DEEP NEURAL NETWORK, ACCURACY TEST
darnisa azzahra	Universitas UPN Jakarta	Alzheimer's image dataset
Venkatesh B	JSS	CNN
Divya B	Stigmata techno solutions LLP	alzhiemer,ML
Sathyabhama B	Panimalar Engineering College	Brain diseases, prediction/detection
Jamal Mohamed B	SSN COLLEGE OF ENGINEERING,CHENNAI	Alzheimer
jawahar b	kongu engineering college	dataset
priyadharshini B	VIT	data ,Alzheimer
Rudhra B	IIITMK	PARKINSON
shwetha B	sjce	Alzheimers, MRI, Wavelets, SVM
Deepika` B	Manukau Institute of Technology	analysis
Athira B	TKMCE	Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise
Srivatsen B N	University of Stuttgart	Cluster Analysis
Prathima B N	M S Ramaiah University of Applied Science	Computer aided diagnosis Mild cognitive impairment Alzheimer's disease MRI
Maowen Ba	Yantai Yuhuangding Hospital	rpAD;Prevalence;Biomarker
Grace Babalola	Binghamton University (SUNY)	Chronic Disease Predictive Model
Fatima Babar	G.C. Women university,sialkot	neuroimaging
stalin babu	AITAM	DEEP LEARNING
Silviu-Alin Bacanu	Virginia Commonwealth University	blood transcriptomic; GWAS; fine-mapping; WGCNA
Eva Bacas	University of Pittsburgh	student project, alzheimer's, neuroimaging, machine learning
Sagar Bachhav	AbbVie	Amyloid beta, PET
Rochdi BACHIR BOUIADJRA	université of mascara	classification, deeplearning
AmanPreet Badhwar	CRIUGM, University of Montreal	neuroimaging, genetics
Doa'a Bador	Tishreen University	Alzheimer's disease; MRI
Dennis Badugu	Ulster University	Machine Learning
Lea Baecker	King's College London	machine learning, MRI
David Baek	Korea University	neural networks classification
halit baeloha	tel aviv university	AD, digital health
Daniel Baer	Medical University of South Carolina	Statistical model, Alzheimer's disease, longitudinal data, covariate selection
Steven Baete	NYU School of Medicine	Orientation Distribution Function analysis, Diffusion MRI
Naveen Venu Bagadi	GVPCOE	AI, Deep learning
Jaya Bagaria	Gachon University	Sporadic EOAD, GWAS, WES, PRS
Ali Baghayeri	Shahrood University of Technology	preprocessing data
Ali Baghayeri	Shahrood University of Technology	ADNI data analysis
yamin bagheri	Tehran university	deep learing, calssification, Alzheimer disease
Fatemeh Bagheri	University of Toronto	1.5T MRI image, 3T MRI image
Bryce Bagley	Stanford University	machine learning, clinical data science, medical machine learning
dhimas bagus teguh pambudi	Informatics	Machine Learning. Alzheimer
fatemeh bahadoran	babol noshirvani university of technology	alzheimer neural network
Alex Bahar-Fuchs	The University of Melbourne	Cognition, neuropsychiatric symptoms, mood
Elif Bahçekapılı	Yıldız Teknik Üniversitesi	Machine Learning, Disease
Mehrnaz Bahraim	Tehran University	AI-CNN-Alzheimer’s Disease-classification
Wenjun Bai	ATR	dynamic effective connectivity
xinhao bai	Henan university of technology	medical image registration and segmentation
Kun Bai	University of Michigan	gene expression, DEG, ANOVA
Yang Bai	WHUT	123456
Haotian Bai	Shanghai University	machine learning
Xiaoyu Bai	Northwestern Polytechnical University	Deep learning; MCI; AD
Paul Baiju	AERO	AI
Abhijith Bailur	SJCE Mysore	MRI
Paul Baird	Centre for Eye Research Australia, University of Melbourne	AMD, genome wide, interaction
Divya Baiskhiyar	None	Deep learning machine learning
Zhang Baiwen	Beijing University of Technology	AD, MCI convert
Janosch Bajorath	IKW - Institute of Cognitive Science	Cognitive Science, Contrastive predictive coding, deep learning, Classification
Pradeep Bajracharya	RIT	MRI; Brain; Artifact
Reda Baka	Université des Sciences et de la Technologie d'Oran - Algerie	convolutional neural network, master's degree, AI, MRI, classification
Susan Baker	Janssen R&D	Diagonsis, Progression, Biomarkers
Ron Baker	University of Kentucky	Alzheimer's AD Dementia CARTS
Suzanne Baker	Lawrence Berkeley National Laboratory	AV45, R1
Mudathir Bakhit	Fukushima Medical University	DLPFC, tractography, connectome
Naman Bakhru	IIT Kharagpur	Hidden Markov Model, Bayesian networks
razieh bakhshandeh	Iran University of medical science	NONE
Mahdiyeh Bakhshi	Shahid Bahonar University of kerman	1q2w3e4r
Akhil Bakhshi	KCL	Schizophrenia
mahdi bakhshi	iran	brain
mahdiyeh bakhshi	Shahid Bahonar University of kerman	Transfer learning
Serguei Bakhteiarov	Biogen	Alzheimer, amyloid, tau
Arnold Bakker	Johns Hopkins University	Entorhinal Cortex
eman bakr	student	project
Kavitha Bakshi	Ryerson	Medical Machine Learning
Abhishek Bal	Calcutta University	PET datasets, brain
Rukku Bala	Ericsson Inc.	dementia, alzheimers, mri, ai, clinical data
PAVITHRA BALA	LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING	ALZHEIMERS , EEG
mohammad Balabandian	Iran university medical sciences	alzheimer
Helena Balabin	Fraunhofer Scientific Computing and Algorithms Institute (SCAI)	Machine Learning, Multimodal Classification
Hossam Balaha	Mansoura University	https://hossambalaha.github.io/
Vibha Balaji	IISc	Computational analysis
Chetan Balaji	CIT Gubbi	Alzheimer's and Parkinson's Disease
Meenakshisundaram Balasubramaniam	University of Arkansas for Medical Sciences	drug discovery
kishore balasubramanian	Dr MCET	CNN, bio insired algorithms
Erica Balboni	University-Hospital Company of Modena	Hippocampal Segmentation Deep Learning
ERDEM BALCI	Gazi University	PET, FDG, Amyloid
Dobri Baldaranov	USC	CMB, WMI, OAK, anti-platelet
Douglas Baldissera	Univates - Universidade do Vale do Taquari	Artificial intelligence; neural networks;
Marcos Balle	Universidad Politécnica de Madrid	T1, DTI, MCI, AD
sridevi balne	KL University	convolution neural network, faster rcnn
András Balogh	University of Szeged	multimodal image registration
Vladimir Balutin	Petro Mohyla Black Sea National	CDR
Manas Bam	Bethany High School	Std 11 student, passionate, classify, early detection, community helping
Oluwaseun Adebayo Bamodu	Taipei Medical University - Shuang Ho Hospital	Proteome, Genome, Parkinson's Disease, Motor disorder, Cerebrum
Kobe Bamps	KULeuven	MedICSS
Jake Bamrah	Ulster University	Graph Neural Network, Alzheimer's Disease, Decision Support System
Yanjiao Ban	Guangxi University	Alzheimer's diagnosis; Multimodal image fusion
parthi ban	VIT university	mri, alzheimers , CNN
Harsh Bandhey	IIIT Delhi	3D-CNN, Classification, MRI, MICCAI
Mantas Bandonis	Johannes Kepler University	labadiena
Dipankar Bandyopadhyay	Virginia Commonwealth University	DTI, tensor regression, spatial methods
Swayam Banerjee	Jadavpur University	Deep Learning, Image processing, Alzheimer's Detection
Abhijit Banerjee	Dr. B C Roy Engineering College, ECE	Deep Learning, Classification
Ji-In Bang	CHA Hospital	neuroimaging
Katherine Bangen	University of California, San Diego	vascular risk, cerebral blood flow, amyloid
Pan Bangquan	SUN YAT-SEN UNIVERSITY	Multimodal method; Medical imaging
Timothy Banh	University of California, San Francisco	MCI, disease progression
Mehri Baniasadi	University of Luxembourg	MRI segmentation
Anahita Baninajjar	University of Tehran	generative adversarial networks, MRI, AD
Sarah Banks	UCSD	tau; alzheimer's; sex differences
Shuhei Bannae	Canon Medical Systems Corporation	Alzheimer disease
Leonie Banning	Maastricht University	Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Samara Banno	University of london	cognitive assessment tolls and scores
Anthony Bannon	AbbVie	fluid biomarkers; tau PET; amyloid PET
Deepika Bansal	The NorthCap University Gurugram	Machine Learning, Deep Learning, MRI Image
SANCHIT BANSAL	the university of hong kong	-
Shivansh Bansal	JECRC University	Medical Image, MRI, CT Scan
Anton Banta	Rice University	self supervised learning, AD classification
Jaume Banus Cobo	INRIA	Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid
Pham Hoai Bao	International University - VNU-HCM	Artificial Intelligence
YIWEN BAO	University of Hong Kong	amyloid-PET
QiHan Bao	Weifang Medical University	statistics Instrumental variable
jinzhou bao	Beijing Normal University	research
Lu Bao	Nanjing Normal university	Functional data analysis,FPCA,Block-wise missing data,Data imputation
BaoZuPeng BaoZuPeng	China Jiliang University	Research
Rohan Bapat	Stony Brook	Machine Learning, Convolutional Neural Network
Anand Kumar Bapatla	University of North Texas	EEG, fMRI
Fernando Barajas	UANL	AI, Machine, Learning, Atlas, hippocampus
Muhamed Barakovic	F. Hoffmann-La Roche AG	Diffusion MRI
ali barati	tums	rs-fmri
Sheena Baratono	Beth Israel Deaconess Medical Center	apraxia
Eduardo Barbará	Universidad Autónoma Metropolitana (UAM)	image processing data analize
Justin Barber	University of Kentucky	neuropsych testing, education, amyloid, wmh
Robert Barber	University of North Texas Health Science Center	Alzheimer's disease genetics
Philip Barber	University of Calgary	stroke; TIA; brain atrophy; dementia
Jordan Barbone	West Chester University	Independent, personal use
Adriano Barbosa da Silva	Queen Mary University of London	Machine Learning, Artificial Intelligence, Prediction
Justin Bardwell	University of Western Australia	Predicting conversion CNN
Steven Barger	University of Arkansas for Medical Sciences	amyloid, PIB, florbetapir, prescription, drug
IOANNIS BARGIOTAS	ENS CACHAN	Control, Alzheimer,PET images
Berardino Barile	Université Claude Bernard Lyon 1	Artificial Intelligence
Giuseppe Barisano	University of Southern California	perivascular spaces
chris barlow	The Open University	AD, Dementia, MCI, Biomarkers, Trisomy 21
Leland Barnard	Mayo Clinic	high throughput PET processing pipeline
Jude Baroudi	University of Pittsburgh	Alzheimer’s, Neuroimaging, Artificial Intelligence, Medicine
Sandra Barral	Columbia University	GWAS plasma beta amyloid
Olivier Barret	CEA	Normalization, ATLAS
Kris Barreto	University of Sasaktchewan	Clinical Trial
Kathryn Barrett	The University of South Carolina	Extra Credit
Matthew Barrett	University of Virginia School of Medicine	Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
Muhammad Hablul Barri	Telkom University	alzemier
Laura Barros	Universidad de los Andes	MRI classification
Alfonso Barrós-Loscertales	Universitat Jaume I	factorial analysis, latent variable modeling, brain organization
Daniel Barry	Ulster University	Machine Learning, algorithm, classification
vera barstad	University of Agder	Deep Learning, 3DCNN,pointcloud
Antara Titikhsha Barua	Asian University for Women	AD
Dinesh Barupal	Icahn School of Medicine at Mt Sinai	metabolomics
Alfons Basa	Metropolitan College	alfkel
Suryakanth Basavaraj	BMSITM	MRI,PET
Chinmai Basavaraj	University of Arizona	MRI, fMRI, Deep Learning, Alzheimer's
Javaria Baseer	National University of Science and Technology(NUST)	CSF, blood, serum, Proteomics, Mass Spectrometry, Swaath analysis
Gabriela Basel	Stanford University	student, coursework
SHAIK BASHEERA	ACHARYA NAGARJUNA UNIVERSITY	Alzheimer’s disease, Deep learning, Classification, Gray matter, Enhanced ICA
Abol Basher	Chosun University	Alzheimer
Usman Bashir	St Barts Hosptal	CNN
Nauman Bashir	COMSATS UNiversity Islamabad	XAI; Deep learning; Automatic diagnostic; Concept
FAROUQ SADIK BASHIR	DIT UNIVERSITY	Alzheimer
Gianpaolo Antonio Basile	University of Messina	thalamus
Rodrigo Basilio	IDOR	DNN Machine Learning
Natalia Basimova	Moscow Institute of Physics and Technology	Convolutional Neural Nets, multiclass classification, regression models
David Baskin	Wake Forest School of Medicine	network analysis
Rani Basna	University of Gothenburg, Institute of Medicine	Alzheimer's disease, mild cognitive impairment, longitudinal,
Cher Bass	King's College London	generative models, deep learning, biomedical data
Blanca Bastardés Climent	Peltarion AB	Autism Spectrum Disorder, GANs, Neuroimaging, Master Thesis
José Bastos	Universidade de Aveiro	CNN, DL, Classification
Arindam Basu	University of Canterbury	Alzheimer's Disease, TBI, Polygenic risk scores
Rikin Basu	Vellore Institute of Technology , India	deep learning , image processing , Alzheimer’s, diagnostics
ganga surendra basva	bharath university	datasets
Vishant Bata	Indian Institute of Technology,(BHU), Varanasi-India	PET Scans, Early Detection, Machine Learning
Layal Bata	Occidental College	Alzheimer's, shape analysis, machine learning
Rodrigo Batal Fernández	Universidad Politécnica de Madrid	Alzheimer continuum, predictive models
Rodrigo Batal Fernández	Universidad Politécnica de Madrid	Alzheimer continuum, predictive models
Veeky Baths	Birla Institute of Technology & Sciences, K. K. Birla Goa Campus	Cognitive diseases, Computational Neurosciences
Richa Batra	Weill Cornell Medicine	PRS, Metabolomics
Chakib Battioui	Eli Lilly	Tau Pet
Mark Battle	GE Healthcare	Centiloid, PiB, imaging windows
Pryangka Rao Batumalay	Ryerson University	Biomarkers and Alzheimer Disease Stages
Lucia Batzu	King's College London - Maurice Wohl Clinical Neuroscience Institute	Alzheimer's disease; MRI; neuroinflammation
Matthew Baucum	University of Tennessee Knoxville	machine learning, disease progression, time series
Roman Bauer	Newcastle University	computational neuroscience
Guilherme Bauer-Negrini	Universidade Federal do Rio Grande do Sul	neuroimaging, pipeline
Sarah Bauermeister	University of Oxford	machine-learning; cognition; socioeconomic status; lifestyle; early-life
Baris Baydargil	Kyungsung University	Alzheimer's disease, Medical Imaging, Deep Learning, Meta Learning
Mehmet BAYGIN	Ardahan University	Dementia, ADNI, Machine Learning
Gunes Bayir	Bogazici University	brain networks, graph neural networks
Peter Bayley	VA Palo Alto Health Care System,	CYP191A, hippocampus, apoe4, neuropsychology
Inci Baytas	Bogazici University	Long short-term memory, disease progression
Md Shamsuzzoha Bayzid	Bangladesh University of Engineering and Technology	Alzheimer's disease progression; Machine learning
Farideh Bazangani	Aix Université Marseille	machine learning
Tariq Bdair	Technical University of Munich	SSL segmentation
Derek Beaton	Baycrest	partial least squares, multivariate, genetics
Sam Beaton	Self	network
Cédric Beaulac	Simon Fraser University	Neural network classifier, Bayesian model averaging
Cédric Beaulac	Simon Fraser University	Neural network classifier, Bayesian model averaging
Helen Beaumont	University of Manchester	diffusion DOC atlas
Lino Becerra	Invicro	asl, cbf
Sergio Becerra	Synaptecnetwork/UCLA	ASL, fMRI, Longitudinal
Laurel Beckett	UC Davis	Biostatistics
Hasan Atakan Bedel	Bilkent University	Deep learning, disease bio-marker, fMRI
Simone Beer	Forschungszentrum Juelich	quantitative PET
Joanne Beer	University of Pennsylvania Perelman School of Medicine	imaging, multi-scanner
Mirza Faisal Beg	Simon Fraser University	MR, LDDMM, segmentation, registration, statistical shape analysis
Rabiya Begam M	PSG College of Technology	Early Detection, Deep learning, Alzheimer's Disease
kauser begum	The Center for Advanced Genomics	disease-variants diagnostics
RAZIYA BEGUM	KLU UNIVERSITY	DEEP LEARNING ,MRI DATA
Rahmat Beheshti	University of Delaware	Multimodal data analysis, Synthetic data generation
Iman Beheshti	CERVO Research Center, Mental Health University Institute of Quebec	estimation, brain age, MRI
Nazanin Beheshti	University of Houston	CNN, Spatitemporal locality, Classification,
Qumars Behfar	Cologne University hospital	Connectome
Hamid Behjat	Lund University	shape analysis, topological similarity, classification, early diagnosis
Hamidreza Behjoo	Skolkovo Institute of Science and Technology	CNN, Tensor decomposition
Jordan Behn	Northwestern University	PPA
Finn Behrendt	TUHH	MRI, Deep-Learning, UAD, self supervised learning
Tina Behrouzi	University of Toronto	GSP for brain mapping
mina beigi	university of kerman	better life
Tessa Beijloos	Tilburg University	vader model
Nadja Bekele	EY	Deep Learning, Recurrent Neural Networks, Reinforcement Learning
Victoria Belancio	Tulane University	genetic variation
Mahanand Belathur Suresh	Sri Jayachamarajendra College of Engineering	AD,MCI
Sergey Belavin	Saint Petersburg University	Classification. Machine learning.
Alexander Belden	Northeastern University	DTI, Music Based Intervention, auditory, reward
Simon Bele	University of Ljubljana	data augmentation, machine learning, deep neural networks
Hafida BELFILALI	Tlemcen university	Alzheimer, early Detection, deep learning
Vincent Beliveau	Medical University of Innsbrucl	n/a
Samantha Bell	Cleveland Clinic - Lou Ruvo Center for Brain Health	dementia, Alzheimer's, hippocampus, aggression
Eduardo Bellatto Guaresi	UNOESC	inspiração
Maura Bellio	University College London	graphic user interface; MRI; disease progression models; neurodegenerative
Laouen Belloli	Universidad de Buenos Aires	Alzheimer, Machine Learning, Statistics, Course.
Yulia Belousova	BMSTU	MRI, Alzheimer, hippocampus
Martin Belzunce	Royal National Orthopaedic Hospital	PET, PIB, Image Processing, Partial Volume Correction
Fu Ben	Zhengzhou Univerisity	Multimodal deep learning;Early diagnosis
iliass ben	faculté de mohammed premier	ai
amira ben rabeh	tunis	Alzheimer , CAD
Sarah Ben Slimene	Tunisia Polytechnic School	Machine learning, Computer Vision, Alzheimer's Medical Imaging
maissa ben soussia	UNC	PET
nadra ben-romdhane	MIRACL	alzheimer
Marc Benayoun	Wake Forest Baptist Health	convolutional neural network, AI
Federica Bencivenga	University of Roma "La Sapienza"	connectivity, fMRI, resing-state networks
Andrew Bender	Michigan State University	diffusion MRI, machine learning, latent factors,
Kamryn Bendolph	Birmingham Southern College	Machine Learning, Alzheimers
Andreana Benitez	Medical University of South Carolina	MoCA, Item Response Theory
Daniel Benjamin	National Bureau of Economic Research	Alzheimer’s, multi-ancestry meta-analysis, diverse populations
Idriss Bennacef	Merck & Co.	tau
Erin Bennett	The George Washington University Milken Institute School of Public Health	generalizability, epidemiology
Neal Bennett	Gladstone Institutes	metabolism
Lauren Bennett	Hoag Memorial Presbyterian	Alzheimer's disease, diabetes, verbal memory
Anne Benoit	UCB Pharma	biological variability
Takis Benos	University of Pittsburgh	graphical models, machine learning, systems biology
David Benrimoh	McGill University	Psychosis, schizophrenia, structural networks
Alexandre Bense	ETH Zürich	degeneration white matter prediction, deep learning
Randall Benson	Center for Neurological Studies	NFL, concussion, mTBI, dementia, AD
Mariana Bento	university of calgary	machine learning, image features, dementia
El Mehdi Benyoussef	Hassan 2nd University of Casablanca	Machine Learning, Image Processing, Alzheimer's Disease
Meryem Benyoussef	Sorbonne University	Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment
Seo Beomjin	Kyunghee University	DCSRN , MRI BRAIN image , super image resolution
Nicole Berbery	Lebanese International University	MRI images/ Brain Age Prediction/ artificial intelligence
Cosmin Bercea	Helmholtz AI	Anomaly Detection, Federated Learning
Maurizio Bergamino	Laureate Psychiatric Clinic & Hospital	DTI; GQI; structural connectivity; prediction model
Derek Berger	St. Francis Xavier University	brain-extraction, skull-stripping, CNN, U-Net
Miles Berger	Duke University Medical Center	proteomics, CSF, Alzheimer's disease, MCI, cognition
Swetlana Berger	UCB Biologicals	biological variability
Visar Berisha	Arizona State University	Machine learning models, repeatable composites
Shaila Berlas	University of Pennsylvania	Data management
Michael Berman	Hadassah Academic College	CT, MRI, Ultrasound, Imaging reconstruction, Deep Learning
Jose Bernal	The University of Edinburgh	Atrophy, Longitudinal
Haley Bernhardt	Washington University School of Medicine	ADNI
Rachel Bernier	UC San Diego	sex differences; Alzheimer's disease; tau
Rachel Bernier	UC San Diego	sex differences; Alzheimer's disease; tau
Adam Bernstein	University of Arizona	Thalamus, Deep Learning
Stuart Berr	University of Virginia	PET
David Berron	Lund University	MTL, hippocampus, structure, preclinical AD, amyloid PET
David Berron	Lund University	MTL, atrophy, Abeta
Tessa Berry	Blue Cross Blue Shield of Illinois	deep learning, POC
Laiss Bertola	Universidade Federal de Minas Gerais	Genetics, using ADNI data as a teaching example, Friday Harbor
Sydney Bertram	Clemson University	tbi, traumatic brain injury
Lars Bertram	University of Luebeck	GWAS, EMIF, QTL, PGS
Olfa Besbes	ISITCOM http://www.infcom.rnu.tn/content/	Machine and deep learning, early detection
Pierre Besson	Northwestern University	Deep learning, prediction, big data
John Best	University of British Columbia	forecasting, TADPOLE, regression-based prediction
Richard Bethlehem	University of Cambridge	statistical learning, neuroimaging
Brianne Bettcher	University of Colorado Anschutz Medical Campus	biomarker, aging
Tobey Betthauser	University of Wisconsin-Madison	PET, neuroimaging, processing
Erin Beveridge	Canon Medical Research Europe	Brain segmentation, neurodegenerative disease, machine learning
Marianne Bezaire	Boston University	alzheimer's, machine learning
Liudmila Beziaeva	Nant	deep learning Alzheimer
Archana Bhade	Government College of Engineering,Amravati	machine learning
Sayantan Bhadra	Washington University in St. Louis	generative model, MRI
Arijit Bhaduri	Jaypee Institute of Information and Technology	image-classification
Eui-hyun Bhae	korea advanced institute of science and technology	deep learning, Alzheimer's disease
Mohan Bhandari	Nepal College of Information Technology	Dementia, Early Prediction
Tushar Bhangale	Genentech	GWAS
Pradyumna Bharadwaj	The University of Arizona	MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID
Lakshita Bhargava	Maharaja Agrasen Institute of Technology	Deep Learning; Alzheimers; Progression;Prediction
Devashish Bharti	Converz Ltd	AI, brain, neurological disorder
Harsh Bhasin	Jawahar Lal Nehru University	MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
Chethana Bhaskara	University of Southern California	alzheimers, machine learning
Nithya Bhasker	TU Dresden	graph convolutional networks, disease prediction
Seema Bhat	Dayananda sagar	DWI, b=1000 images
Omkar Bhatavdekar	Johns Hopkins University	Deep learning, AI, Machine learning
Kirti Raj Bhatele	Rustamji Institute of technology, BSF Academy, Tekanpur	Machine learning, Deep learning, Alzheimer’s disease, Schizophrenia, Parkinson’s
Surbhi Bhatia	King Faisal University	Dementia, Deep Learning
Ruchir Bhatt	Nanostring technologies	Deep learning
Atanu Bhattacharjee	Tata Memorial Centre	Joint longitudinal modeling, time to event data, biomarker
SOURAV BHATTACHARJEE	Ramakrishna Mission Vivekananda Educational and Research Institute	Machine Learning project on Alzheimer prediction.
SATARUPA BHATTACHARJEE	UC DAVIS	Analyze, Statistics
Debanjali Bhattacharya	International Institute of Information Technology Bangalore	Texture, shape, volume
ARINJITA BHATTACHARYYA	University of Louisville	shrinkage, logistic regression, variable selection, prediction
Sudeepa Bhattacharyya	Arkansas State University	metabolomics, neuroimaging
Uttam Bhetuwal	Brown University	Deep learning,brain imaging
Pradnesh Bhike	AISSMS College of Engineering Pune	Study, CNN
Rimmon Bhosale	IIT Palakkad	CNN, deep learning, medical images
SAJAN BHOSALE	SANJAY GHODAWAT UNIVERSITY	Alzheimer's Dataset
Amanjot Bhullar	University of Guelph	artificial neural netowrk
Xin Bi	Northeastern University	brain network, fMRI, Alzheimer's Disease
Hanwen Bi	Columbia University	Functional connectivity, VAE
Cheng Bi	Chinese Academy of Sciences	Medical image analysis; Artificial intelligence
shijia bian	EMORY UNIVERSITY	AD disease progressin
Chun Mei Bian	Tongji Medical College,Huazhong University of Science and Technology	bile acid;intestinal microorganism;Alzheimer's disease
Jintang Bian	Sun Yat-sen University	Multi-Modal Biomarker， Alzheimer’s Disease， machine learning
Wajiha Bibi	Aston University	biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement
Saba Bibi	international Islamic university Islamabad	alzheimer
Ayesha Bibi	University of Gujrat	Alzheimer's disease
Abhinav Bichal	Att intern	Machine learning model, Biomarkers, Correlations, Data Scientists
Anne Biever	Genentech	biomarker AD
Ricardo Bigolin Lanfredi	University of Utah	Visual dataset explanation, regression, adversarial training
mahtab bigverdi	sharif university of Technology	diagnosis method dataset
Jordan Bilderbeek	University of Chicago	MRI, neuroimaging
Murat Bilgel	National Institute on Aging	FDG, amyloid, DTI, MRI, atrophy, longitudinal
Emirhan Bilgiç	Istanbul Technical University	Early Diagnosis, Alzheimer's Disease, Dataset
Ali Bilgin	University of Arizona	WMH, segmentation, deep learning
Benjamin Billot	UCL	segmentation, volumetry analysis
wang bin	Changchun University of Science and Technology	niyaowoa87326910
Reem Bin Hezam	Dublin City University	dementia, modifiable risk factors
song binbin	Donghua University	studying master;Alzheimer's disease
Aidan Bindoff	University of Tasmania	biomarkers, cognitive decline, dementia
Ni Bingjie	Huazhong University of Science and Technology	alzheimer's disease
Ni Bingjie	Huazhong University of Science and Technology	Deep Learning、Neurofunctional assessment
Huang Bingsheng	Shenzhen University	AD, brain age
Huang BingYao	Beijing University of Posts and Telecommunications	joint modeling
Moritz Binzer	Technical University of Munich	stroke, dementia
David Biondi	Seelos Therapeutics Inc (consultant)	Alzheimer's Disease, fluid and imaging biomarkers, clinical measures
Florian Birk	University of Tübingen	Hippocampus
Colin Birkenbihl	Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI	AETIONOMY, statistical comparism, modeling, validation
George Biros Biros	The University of Texas at Austin	Image registration, image segmentation, tau analysis, PET, MRI, machine learning
Joshua Bis	University of Washington	Alzheimer's disease, sequencing, ADSP
Gérard Bischof	University Hopsital Cologne	Alzheimer's disease, resting state, fMRI
Sotirios Bisdas	University College London	Brain ageing; Cognition; Brain tumour
Ram Bishnoi	Medical College of Georgia	dementia, latent variables, neuroimaging
Anna Bishop	Boston University	deep machine learning, MatLab, AlexNet, neural network
Bharat Biswal	NJIT	fMRI; functional connectivity, brain
Shameek Biswas	Bristol Myers Squibb	genetics, imaging, biomarkers, cognitive decline
Sanglap Biswas	IEM	Alzheimer
Subhrangshu Bit	Ramakrishna Mission Vivekananda Educational and Research Institute	Algorihtm, Machine Learning Preclinical Alzheimer's disease
Malin Bjornsdotter	Sahlgrenska University Hospital	stroke, epilepsy, aging
zhang bl	JiLinUniversity	Prediction ,Alzheimer,Graph Neural Network
Sandra Black	Sunnybrook Research Institute	MRI Volumetry, Alzheimer disease progression
Tim Blackwell	Goldsmiths, University of London	Dementia risk
Jennifer Blackwood	University of Michigan-Flint	MCI, neurological exam, vital signs
Elise Blaese	IBM Research	NIA GCAD Watson
Joshua Blake	LMU University Munich	Alzheimer Prediction, Alzheimer Detection
Paul Blanc	APHP	probabilistic FDG PET conditional variational auto encoder
George Blanck	UNIVERSITY OF SOUTH FLORIDA	immune receptors; complementarity determining regions; physicochemical features.
Wouter Bloem	Amsterdam UMC	Longitudinal, tau, PET, review
Emma Bluemke	University of Oxford	healthy ageing, neural networks
Jenna Blujus	UWM	Alzheimer's disease
Tobias Blum	University Hospital Essen	Alzheimer's disease, cholinesterase inhibitors, cognitive impairment
Dominik Blum	University Hospital Tuebingen	Parkinson, Cognition, FDG, denoising
Stefano Blumberg	University College London	Experimental Design
Xiaolin Bo	University of Science and Technology of China	Statistical longitudinal data analysis
Markus Bödenler	FH JOANNEUM University of Applied Sciences	dementia, AI, machine learning, prediction, intervention
Ashish Bodla	Self	Grand Challenge
Kaylee Bodner	Duke University Medical Center	Alzheimer's, neurofilament light, genes
Susan Boehnke	Queen's University	CSF biomarkers, lumbar puncture
Ronald Boellaard	University Medical Center Groningen	Image methodology, quantification, processing, classification
Bojan Bogdanovic	Ss. Cyril & Methodius University in Skopje	bioinformatics, prediction, AD, university
Craig Bohrson	Harvard Medical School	clonal hematopoiesis, Alzheimer’s disease, Dementia
Yashwanth Boinpally	University of Essex	Alzheimer's Disease, Classification, Deep Super Learners, GAN's
Arun Bokde	Trinity College Dublin	MRI, grey matter, volumetric, hippocampus
Joseph Boktor	California Institute of Technology	microbes, WGS
Joseph Boldrey	Iowa State University	TMS, Neuromodulation, Magnetics
Alexandre Bône	Guerbet	contrastive learning; neuro-oncology; treatment selection support
Luke Bonham	Johns Hopkins	Alzheimer's disease, hydrocephalus, ventricular volumes
Luke Bonham	UCSF	FDG PET, MRI, Neural Network
Leonardo Bonilha	Medical University of South Carolina	AD, Epilepsy, Deep Learning.
Seth Boren	UTHEALTH	DTI, ASL, 3D-T1w
David Borensztajn	University of Amsterdam	Machine learning, MRI, CNN, Brain disease
Polina Borisova	NRU HSE	Topological data analysis, persistent homology, combinatorial Laplacians
arezoo borji	amirkabiruniversity	alzheimer-diagnosis-prediction
Kushal Borkar	International Institute of Information Technology, Hyderabad	f-MRI dataset
Léonie Borne	University of Newcastle	Anatomy, structural MRI, cortical sulci, machine learning
Iris Bosch	University of Gothenburg	PET MRI biomarkers
Christian Boschenriedter	Heinrich-Heine-Universität Düsseldorf	Parkinson's disease, machine learning
Shirsha Bose	Jadavpur University	Found
chandran bose	NIELIT	alzheimers data
Aditya Bose	Manipal University Jaipur	GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data
Marcos Bosques	Florida International University	neural networks; machine learning; classification;
Nicholas Bott	University of California San Francisco	cognitive aging; structural imaging; inflammation
Louis-François Bouchard	École de technologie supérieure	bayes, memory-based, CNN, deep learning, medical imagery
Amel Bouchemha	University of Tebessa , Algeria	Medical images, bio-inspired approches, Random forest
Johémie Boucher	Université de Montréal	neuropsychology of aging; alzheimer's disease; clinical research
Guelib Bouchra	Abd el hamidm mehri Constantine 2	Data integration , heterogeneous data, Alzheimer, machine learning
bucha bouchra	FSt	1234
Romain Boudet	Oxford University	Community Detection, Brain networks, Classification
Julia Boudreau	University of Southern California	image data upload
Salma Bougacha	INSERM	Alzheimer, spreading, tau, connectome
Wafa Boukellouz	university of ferhat abbas setif	MRI, CTm prediction
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
Caroline Bouter	UMG Goettingen	PET, FDG, Amyloid
Younes Bouterfa	Uclouvain	AD, Detection, CNN, MRI
thebti Boutheina	Monastir	neuro imagerie, alzheimer disease, multiple sclerosis
Olfa Bouzidi	fsm	Deep learning
Emily Bove	Cogstate	Cogstate
Zheng Bowen	Shenzhen Institutes of Advanced Technology，Chinese Academy of Sciences	Deep Learning
Emma Boyd	University of California San Diego	MRI, ASL
Sebastien Boyer	Basel University	Disease progression, ADAS-cog
hong boyi	华南理工大学	Classification of Alzheimer's disease
Christina Boyle	USC/IGC	AD MCI Conversion MRI
Serdar Bozdag	University of North Texas	machine learning, data mining
yan bq	university	12110303043
Jeffrey Brabec	University of Vermont	NetWAS, PheWAS, CNNs, Derived-phenotypes, Canonical Correlation Analysis
Julien Bradfer	Halmstad University	deep learning
Nicholas Bradfield	St Vincent's Hospital Melbourne	Mild cognitive impairment; neuropsychology; memory
Tyler Bradshaw	University of Wisconsin	attenuation correction
Joana Braga Pereira	Karolinska Institute	CSF, MRI
Delfina Braggio	Pladema	hippocampus, shape, volume, deformation
Nadia Brancati	National Research Council of Italy	image processing
Valentina Brancato	IRCCS SDN	DICOM
Marcus Branch	Federal University of Santa Catarina	scientific research, dataset
Abby Brand	Washington University School of Medicine	Plasma AB, FNIH, amyloid PET
Lodewijk Brand	Colorado School of Mines	haploview, plink
Jose Bras	UCL, Institute of Neurology	Neurogranin, neurofilament light, biomarker, genetics
Maciej Brasewicz	Uniwersytet Szczeciński	Alzheimer
Meredith Braskie	USC	inflammation
Jana Bratanić	Faculty of science Split	alzheimer desease
Christina Braun	Fraunhofer-Gesellschaft	AI-based model
Noa Bregman	Tel Aviv Medical Center	verbal fluency
James Brewer	UCSD	subregional change MRI, PET
Adam Brickman	College of Physicians and Surgeons, Columbia University	white matter hyperintensities, PIB, amyloid
Ross Briden	Brown University	MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis
Joshua Bridge	University of Liverpool	AI, Deep learning
Robert Bridges	Aegis Imaging Consultants	Hypometabolism
Danielle Briggs	Brigham and Women's Hospital	ADNI 3, LONI, coordinator
Carlos Brito-Loeza	Universidad Autonoma de Yucatan	MRI, mapping
brizzle brizzle	Sichuan University Jincheng College	AI bigdata
Thibaud Brochet	Université de Rouen / LITIS	Deep Learning Classification Segmentation Unsupervised multitask
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
Valerie Brouwers	Erasmus University Rotterdam	Predictability MMSE scores joint lasso method
Francesco Brovelli	University of Milan-Bicocca	conversion, MRI, amyloid PET, MMSE
Anastasia Brovkin	University Medical Center Hamburg- Eppendorf	Deep learning, biomarker, prediction, statistics
Shael Brown	McGill	Connectome harmonics, Manifold learning
Thad Brown	Personal Interest	pydicom
Chiara Brück	ErasmusMC	Microsimulation modelling; Public health; Dementia; Epidemiology
Sarah Brueningk	ETH Zurich	Interpretability, machine learning, risk prediction
Divya Brundavanam	Karolinska Institutet	predictive modeling, multimodal MRI
Iva Brunec	University of Toronto	Hippocampus, Memory decline, fMRI
Irene Brusini	KTH Royal Institute of Technology	Structural MRI, segmentation, deep learning, shape analysis
Oliver Bruton	Carl von Ossietzky Universität Oldenburg	Alzheimer's disease (AD), dementia, CDSS, disease progression
Enrico Bruttomesso	MSC computer engineering student (Uninettuno International University)	alzheimer mri deep learning neural network dnn
Annie Bryant	Massachusetts General Hospital	tau, perfusion, blood vessels
Christopher Brydges	University of California, Davis	Bayesian statistics; research methods
Andrea Brzeczkowski	University of Wisconsin - Madison	pharmacokinetic, imaging
Rakshitha BS	christ faculty of engineering	Machine Learning , Deep Learning, Classification
Zhiqi Bu	University of Pennsylvania	Missing value imputation
weixiao bu	Weifang Medical University	propensity scores
Giovanna Bubbico	ITAB, Institute for Advanced Biomedical Technologies	DTI bilingualism normal aging
OMONIGHO BUBU	UNIVERSITY OF SOUTH FLORIDA	sleep deprivation, Alzheimer's Disease, beta-amyloid
Marco Bucci	Karolinska Institutet	PET, CSF
Hans-Georg Buchholz	University Medical Center	NEUROSTAT, SPM12
Bradley Buchsbaum	Baycrest Centre for Geriatric Care	fMRI PET correlation
Maciej Buciński	University of Adam Mickiewicz	Neuroimaging, Deep Learning, Data Science, Machine Learning
Katharina Buck	Roche Diagnostics	Elecsys CSF Measurements
Hudson Buck	Santa Casa de Sao Paulo School of Medical Sciences	Alzheimer, diabetes, hypertension, chronic diseases
Virginia Buckles	Washington University in St. Louis	DIAN ADNI
Rachel Buckley	Massachusetts General Hospital/Harvard Medical School	subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Gabriel Bucur	Radboud University Nijmegen	causal inference, Mendelian randomization, Robust estimation, Bayesian inference
Charley Budgeon	University Of Western Australia	Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Kauê Bueno	Universidade São Judas Tadeu	#deeplearnig #machinelearing #alzheimer
Virginie Buggia-Prevot	Valo Health	Neurodegeneration, drug discovery, machine learning
Duc Toan Bui	Sungkyunkwan University	synthetic image, cycleGAN
DANH bui	hufi	DNN
Duc Toan Bui	Sungkyunkwan University	GAN
Bao Bui Ngoc	Jeonbuk National University	Computer Vision, pattern recognition, segmentation
Luna Buitrago	SUNY Downstate Medical Center	Sphingosine-1-phosphate
aleksey bukhalov	ITMO	cnn
Sayed Ali Raza Shah Bukhari	Jamil ur Rahman Ceter for Genome Research	Mitochondrial Genomes, Alzheimers
Kira Bukharina	SAIT	Alzgeimers
Santi Bullich	Life Molecular Imaging GmbH	florbetaben SUVR cutoff
Brendan Bullivant	University of California Santa Barbara	Machine Learning
Saurabh Bundela	Jabalpur University	Deep Learning, Image Analysis, Genetic and Proteomics biomakers
Kaileigh Bunting	Cognitive Neuroscience of Schizophrenia Lab	fMRI, MRI, CPCA, BOLD,
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
Mina Burns	London School of Economics	Survival analysis, machine learning
Kory Burns	Sandia National Laboratory	Machine Learning, Deep Learning, analytics, reproducibility
Felicia Burtscher	University of Luxembourg	biomarker
Hendrik Burwinkel	Technical University Munich	Graph-based deep learning, machine learning
Tomasz Burzykowski	Center for Statistics	biomarker, Alzheimer's disease, biostatistcs
Eva Bus	Vrije Universiteit Amsterdam	Machine learning; Supervised machine learning; Prediction
Geraldo Busatto-Filho	USP	magnetic resonance imaging, cognitive reserve, PET, tau
William Bush	Case Western Reserve University	Loss of Y, Copy Number
Stephanie Buss	Beth Israel Deaconess Medical Center	cognitive reserve, exercise, education, music, social
Aurelie Bussy	McGill University	Hippocampus Segmentation Aging Alzheimer's Disease
Bernabe Bustos	Northwestern University	WES, Burden, rare variant analysis
Paul Butler	Biogen	neuropsychology, Alzheimer's disease, MCI, aging
Omar Butt	Washington Univeristy in Saint Louis	Resting State
Omar Butt	Washington Univeristy in Saint Louis	Resting State
Jenna Butterworth	University of Victoria	white matter, integrity, healthy aging
Markus Butz-Ostendorf	Biomax Informatics	Big Data, semantic data integration, multimodal brain imaging, AD
Gonca Buyrukoglu	Karatekin University	ANN, Random Forest
Selim Buyrukoğlu	Çankırı Karatekin University	Artificial Intelligence, Machine Learning, Deep Learning, Prediction Tool
Calin Buzea	IFT	medical physics
Giulia Buzi	Università degli Studi di Torino	Alzheimer's Disease; Biomarker; Memory: APOE-e4
Punith BV	International Institute of Information Technology Bangalore	Punith, Punith BV
Sekhar BVDS	S R K R ENGG COLLEGE	alzheimer, Artificial network, Data scirnce
Samantha By	Hyperfine	segmentation
Seonjeong Byun	Uijeongbu St Mary's Hospital College of Medicine, The Catholic University	texture, functional connectivity, mild cognitive impairment, progression
Jihyun Byun	University of Johannesburg	Alzheimer's Disease, computer-aided diagnosis, deep learning
Jiyoung Byun	KAIST	Alzheimer's disease
Michał Błotko	Silesian University of Technology	MRI, Alzheimer, Data Science
Keerthika C	vit	ALZHEIMER, DEEP LEARNING, IMAGE PROCESSING
Sreelakshmi C	htic	Deep learning
safna c a	CUSAT	Gene expression data
Emilio Cabañero	Universidad Autonoma de Madrid	degree project
Ryan Cabeen	USC LONI	tools
María del Rocío Cabello Toscano	Universitat de Barcelona	Cognitive Reserve; Alzheimer's Disease; Normal Aging; Functional Connectivity
Monia Cabinio	IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente	AD, HC, structural MRI, functional MRI
Joana Cabral	University of Minho	fMRI
Ylermi Cabrera-León	Universidad de Las Palmas de Gran Canaria	Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
Maria Caceres	Universidad Catolica Boliviana "San Pablo"	Alzheimer
Xavier Cadet	Imperial College London	Machine Learning, Dementia
Frederic CADET	University of La Reunion	Machine Learning, Biochemistry, Genomics
Refsi Cahya	Brawijaya	brawijaya
Samuel Cahyawijaya	HKUST	deep neural network, alzheimer disease, sequence modeling
Hongjie Cai	Shanghai Jiaotong University	AD/MCI diagnosis, deep learning
Lingrui Cai	Ann Arbor Algorithms	autoencoder, unsupervised learning, feature extraction
bingyang Cai	SJTU	AD MRI PET
Congbo Cai	Xiamen University	Image reconstruction, Multimodal image, Deep learning
yuan cai	Chinese university of HongKong	plasma biomaker ,AD pathology
Shangyu Cai	Szu University	AD FMRI
Jinhua Cai	Sun Yat-sen Memorial Hospital, Sun Yat-sen University	lipids, apolipoprotein, cognition
Chunting Cai	Xiamen Univeersity	cct724724
Hailin Cai	Chongqing University	AD,
Jiahui Cai	stu	AD
Fanco Cai	CQ	1
erik cai	wenzhou university	multimodal neuroimaging
Ning Caichen	IT	01234567890
francesca caiozzo	other	alzheimer
yan caiying	Nanjing Medical University	early diagnosis，Imageology，MRI
Ismael L Calandri	Fleni	Machine learning, normal ageing
Toro Caleb	University of North Dakota	biomarkers, feature selection methods
Maria Eugenia Caligiuri	Università degli Studi Magna Graecia di Catanzaro	DTI, morphometry, AD, MCI
Ana CALIN	Insa Rouen	Bayesian Networks
Brandy Callahan	University of Calgary	diagnosis, neuropsychology, dementia, mci, norms
James Calo	Imperial College London	Machine Learning GAN Pix2Pix CycleGan Federated Rival Segmentation
Frederic Calon	Universite Laval	Alzheimer
Eduardo Camacho	UPV	Artificial Intelligence, lesion segmentation
Rui Camacho	Faculdade de Engenharia da Universidade do Porto	Multi-Relational Data Mining
Aldo Camargo	University of Maryland of Baltimoree	Longitudinal study,ASL, PET-FDG,
Borja Camino	Health Research Institute Biocruces-Bizkaia	voxel-based morphometry, connectograms, resting functional connectivity, teach
M'Saydez Campbell	Universite Jean Monnet	machine learning neuroscience
Alex Campbell	University of Cambridge	deep learning, machine learning, fmri, diagnosis, unsupervised
Avalon Campbell-Cousins	The University of Edinburgh	Brain networks, brain activity, fMRI, DTI
Jacques-Yves CAMPION	Aix-Marseille University	machine learning, classify, alzheimer disease, fdg-pet, mri, discordance index
Martha Rebeca Canales Fiscal	Instituto Tecnológico y de Estudios Superiores de Monterrey	Machine Learning, Classification
Samuele Cancellieri	University of Verona	Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS
Vasco Candeias	INESC-ID	dynamic bayesian network, cloud computing, web, internet
Sema Candemir	The Ohio State University Wexner Medical Center	computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P
Marco Canevelli	Sapienza University	frailty, aging
Samuele Cannucci	University	CNN
Juan Cano	Uniandes	Machine learning, Diagnoses
Antonio Cano Montes	ULisboa	medical deep learning
Jose L. Cantero	Pablo de Olavide University	sleep2019
Christelle Cantet	Gerontopole CHU Toulouse	omega-3, cognitive function
Lingcan Cao	Xi'an Jiaotong University	brain network dynamics, default mode network
Bing Cao	university of north carolina at chapel hill	medical image synthesis
Jiahang Cao	Beihang University	deep learning model
Bo Cao	University of Texas Health Science Center at Houston	Machine learning
yingli cao	Jiangnan University	study
Yan Cao	University of Texas at Dallas	image analysis
Shyu Cao	UESTC	AlextNet for AD prediction
Eric Cao	Albert Einstein College of Medicine	AI, CNN, amyloid-beta
Jiguo Cao	Simon Fraser University	brain network, QTL mapping
weifang cao	shandong first medical university	aging neuroimaging
Gongpeng Cao	Beijing University of Posts and Telecommunications	artificial intelligence, precise diagnosis of AD
Guanqun Cao	Auburn University	functional data, ADNI
Jiahang Cao	Beihang University	区块链
Xuan Cao	University of Cincinnati	sMRI, fMRI, radiomics, generalized linear models
hongjun cao	YanShan University	数据
Jiahang Cao	Imperial College London	Alzheimer's disease, deep learning
Xuexiang Cao	Philips	Alzheimer, deep learning
Elettra Capogna	University of Oslo	biomarkers, MCI, cognitive decline, structural MRI
DANIEL CAPON	BLOOD SYSTEMS RESEARCH INSTITUTE	protein engineering, antibodies, amyloid beta, biomarker
Arvind Caprihan	The Mind Research Network	White Matter damage, FLAIR, Diffusion, CSF
Camilla Caprioglio	University of Geneva	Alzheimer's disease, cognitive functions
Jared Cara	Vivid Genomics	Genomics, machine learning, prediction, co-morbidities, pathology
Pedro Henrique Caramalac	USP	Convolutional Neural Networks, Digital Image Processing, Alzheimer Disease
Chiara Carbone	Università degli Studi di Modena e Reggio	Hippocampus, PhD
Valerie Cardenas Nicolson	Palo Alto VA	fMRI, DTI, T1, rTMS
Heitor Cardoso	Institute for Systems and Robotics	machine learning, psychology
filippo carducci	university of rome	PET AD
Don Cariddi	SUNY Oswego	Alzheimer's Disease Early Detection
Bruce Carlson	Ohio University	education
Jeremy Carmasin	Massachusetts General Hospital	PIB FDG AD MCI
Owen Carmichael	UC Davis	cortical thickness
Diedre Carmo	Faculty of Electrical and Computer Engineering - UNICAMP	Deep Learning, Hippocampus Segmentation
Paula Carmona Gallego	Universidad autónoma de Manizales	Machine learning
Caio Carneloz	UNESP	Semi-Supervised Learning, Deep Learning, CNN's
Miguel Adolfo Caro Parrado	Universidad Nacional de Colombia	brain aging patterns
Lucy Carolan	Newcastle University	fine art, sculpture, installation, artists' books, sciart
Anna Caroli	Istituto di Ricerche Farmacologiche Mario Negri IRCCS	COVID-19
Thomas Carr	University of East Anglia / Norfolk & Norwich University Hospitals	Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
Valerie Carr	San Jose State University	teaching
Minerva Carrasquillo	Mayo Clinic	CAA, neuroimaging, intracerebral hemorrhage, GWAS, cerebrovascular
Cristhian Carrillo	Universidad Autonoma de Occidente	Neural network, CNN, Alzheimer
Fernando Carrió Argos	Instituto de Física Corpuscular - University of Valencia	Deep Learning, Super Resolution, FPGA
Greg Carter	The Jackson Laboratory	epistasis, pleiotropy, genetic association
Ashley Carter	Mass General	Alzheimer Disease
Jake Carus	Biogen	Symposium
Emily Carvajal	Universidad del Valle	preprocessing, standarization
Sofia Carvalho	Universidade do Minho	neuroimaging, mri, alzheimer, prediction
Alexandra Carvalho	Instituto Superior Tecnico	Time series analysis
Vítor Carvalho	IF SUDESTE MG	MRI Image, Machine-learning, Alzheimer's Disease
Greg Cary	Jackson Laboratory	genetic association, drug targets
Jose Joaquin Casado Garrido	Georgia Institute of Technology	MRI imaging; Alzheimer's Disease
Adrià Casamitjana	UCL	MRI, preclinical, machine learning
Ramon Casanova	Wake Forest University School of Medicine	Machine Learning, Regularization
David Cash	University College London	familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Julian Caspers	University Hospital Düsseldorf	predictive modeling, machine-learning, domain-adaptation
Hilario Castañeda	Universidad Nacional de Ingenieria-Docente investigador	machine learning
Nikol Orlando Castellanos Diaz	Universidad Autónoma Metropolitana	Biomarkers, alzheimer's disease
Isabella Castiglioni	National Reserach Council	AD, MCI, image classification, diagnosis, MRI, PET
Jose Maria Castillo-Secilla	University of Córdoba	AD, Alzheimer, Deep Learning, GPU
Camilo Castrillon	Universidad Autonoma de Occidente	Alzheimer disease, machine learning, Middle cognitive impairment, limitations
Mac Gayver Castro	University Center Christus	Alzheimer disease, imaging, algorithms
Eduardo Castro	IBM Research	longitudinal, Alzheimer's disease, multimodal, multivariate, predictive
Gonzalo Castro Leal	University of Dundee	MR, ADNI, AD
JUAN ANTONIO CASTRO SILVA	UNIVERSIDAD DE SALAMANCA	medical image analysis, alzheimer's disease
Ana Sofia Castro Verde	Champalimaud Foundation	DTI rsfMRI
David Catanho	o8t	DICOM MRI T1
Francesca Catto	University Hospital Zürich	Alzheimer, PET, scans, raw data
Pedro Cavalcanti	UFRN	Image Processing, MatLab.
Michele Cavallari	Brigham and Women's Hospital, Harvard Medical School	amyloid, perivascular spaces, glymphatic
Enrica Cavedo	Qynapse	hippocampus
Justin Cawood	Charles Sturt University	Alzheimer's, Likelihood-ratio, MRR
Kyra Cebula	University of Manitoba	brain imaging
Emilio Cecchini	Univerity of Florence	deep learning,machine learning,3d,classification
Selahattin Barış ÇELEBİ	Batman University	computer aided diagnosis, convolutional neural networks; deep learning; image cl
Yunus Emre Celik	University of Paris	final project
Gaffari ÇELİK	Ağrı İbrahim Çeçen Universitesi	Alzheimer’s Disease, Deep Learning
Ricardo Cerri	Federal University of Sao Carlos	machine learning, SNPs, Alzheimer Disease
Stefano Cerri	DTU	segmentation atrophy
Tess Cersonsky	Brown University	AD Risk, Machine Learning, Predictive Modeling
Yoonjeong Cha	Immuneering	target identification, pathology, survival analysis, pathway analysis
Hyunsil Cha	Kyunpook National University	fMRI
Hyunsil Cha	Kyunpook National University	MR image processing
Marwa Chaabane	Ecole nationale d'Ingénieurs de Sfax, TUNISIA	Alzheimer disease, fMRI, graph theory
Satish Chada	Pulmonary Services of North Texas	Machine Learning, Artificial Intelligence, MCI, AD, COPD
Clement Chadebec	Université de Paris	Deep learning, classification
Sukang Chae	POSTECH	Artificial Intelligence, medical image classification
Pavan Chaggr	University of Oxford	Alzhiemer's, morphology, degeneration
Jingchen Chai	University of Alberta	BMI Alzheimer’s diseases
Kalayanee Chairat	King Mongkut's University of Technology Thonburi	GWAS
yanawut chaiyo	mfu	classification , dementia
Daniel Chalupa	Brno University of Technology	Pharmacokinetic Modeling, Multiple Classifier Systems
Benjamin Cham	University of Leicester	Deep learning, medical image processing
Jordan Chamberlain	The Pennsylvania State University	ADNI3 advanced diffusion, Siemens Advanced Prisma VE11C
Harshil Champaneria	Arizona State University	Research Project on Deep Learning
Jason Chan	University of Calgary	Gene expression, amyloid, tau, neurodegeneration, PET, MRI
CANDACE CHAN	UNIVERSITY OF CALIFORNIA, SAN FRANCISCO	diagnostic tests, biomarkers, early detection, genetic
Christina Chan	Michigan State Univ.	NCI-DREAM 8.5
Elaine Wan Ling Chan	International Medical University	SVM classifier for the determination of progressive deterioration of AD
Yi Hao Chan	Nanyang Technological University	Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets
Katie Chan	City University of Hong Kong	Molecular epidemiology and bioinformatics
Kannie WY Chan	City University of Hong Kong; The Johns Hopkins University School of Medicine	MRI, AD, deep learning
Eldon Chan	University of California, Berkeley	Deep Learning, Alzheimer's Recognition and Prediction
Huang Chan-Yi	Acer	Brian MRI
Steven Chance	Oxford brain diagnostics	MRI, DTI, AD, MCI
Ganesh Chand	Washington University in St. Louis	T1 weighted MRI, cognitive scores
Mayurakshi Chanda	National Institute of Technology Silchar	Deep learning, Neural network
Tirtha Chanda	University of Magdeburg, Germany	disease
Maya Chandar	Canterbury School	Alzheimer's Disease, mild cognitive impairment, neurodegeneration, algorithm
Trevor Chandler	Artificially Intelligent	Alzheimer’s, Amyloid, Memory, Brain
Hannah Chandler	Cardiff University	MRI PET genetic risk
Avinash Chandra	King's College London	Alzheimer's disease; amyloid; tau; genetics
Subhadeep Chandra	National Institute of Technology, Durgapur	CNN
RUI CHANG	University of Arizona	Alzheimer's, Sex difference
Changgee Chang	University of Pennsylvania	integrative analysis, multi-task learning
Wonjae Chang	Neurocle	AD, AI, Auto Segmentation
Ze Chang	huazhong university of science and technology	diagnosis
JUDY CHANG	Chang Gung memorial hospital	AI
Ya-Hsuan Chang	University of Kentucky	Data analysis
Kai CHi Chang	National Yunlin University of Science and Technology	reserch CNN
Minyu Chang	Cornell University	Fuzzy-trace theory; factor analysis
hsin-wen Chang	National Tsing Hua University	Alzheimer
HanI Chang	Ajou	AD
ali chang	Advantech	alzheimer
Timothy Chang	University of California, Los Angeles	Rare variant analyses, genetics, whole genome sequencing
Jeryn CHang	The University of Queensland	Hypothalamus; BMI; DWI
WeiTang Chang	UNIV OF NORTH CAROLINA AT CHAPEL HILL	dMRI
Can Chang	Being Normal University	neuroImage; deep learning;disease prediction
Jose Chang Irias	Halmstad University	Convolutional nueral networks, Lewy body dementia, dementia detection
Monir Changizi	Shahidbeheshti university	sleep,insomnian,alzheimer's disease,dementia
yu changyuan	上海事事大学	fMRI
RYU CHANJU	BUNDANG CHA HOSPITAL	Deep learning
wang chao	fujianyikedaxue	study； Alzheimer's disease；clinical manifestations
bu chao	DONGHUA UNIVERSITY	AD
wang chao	North University of China	Wl940414.+0
suo chao	xiangtan university	Due to low intensity contrast around ROI boundary and large inter-subjectvarian
wang chao	Fujian Medical University	brain regions; Alzheimer's disease
zhang chao	Taiyuan University of Technology	Alzheimer's disease
Marianne Chapleau	Douglas Research Center	cognition, tau-PET, amyloid-PET
James Chapman	UCL	Machine Learning Neuroimaging Brain Behaviour Associations
Zachary Chappell	Institute of Psychiatry, Psychology & Neuroscience, King's College London	Diffusion MRI, multicompartment models, MCI, AD
Van Charon	Tsinghua University	Alzheimer
Evangelos Chartampilas	AHEPA University Hospital Thessaloniki	JadBIO Machine learning dementia
Christine Charvet	Delaware State University	Cortex
Danai Chasioti	IUPUI	polygenic, alzheimer's
Lina Chato	University of Nevada, Las Vegas	MRI brain images, T1, flair, T2
Subarna Chatterjee	RUAS	ML,DL
Soumick Chatterjee	Otto von Guericke University Magdeburg	deep learning
PUBALI CHATTERJEE	UNIVERSITY OF CALCUTTA	Image Segmentation
Abhinaba Chatterjee	Weill Cornell Medical College	Deep learning
Wing Fung Chau	Cardiff University	Big Data, lipids and metabolites
Madhav Chaudhary	Coventry University	Deep Neural Networks, Alzheimer's, Machine Learning, Data Science
Shefali Chaudhary	Yale School of Medicine	Alzheimer's disease, apathy, imaging
Muhammad Mutahar Chaudhry	PIEAS	Alzheimer Disease
Ganesh Chauhan	Centre for Brain Research, Indian Institute of Science	cerebral small vessel disease, genome wide association, vascular risk factors
Mohit Chauhan	IIT Indore	survey, literature
Laurent Chauvin	Ecole de Technologie Superieure	Local Features, Subject Identification
Shital Chavan	SITS	MRI,CT,AD,MCI
Caitlyn Chavez	chapman university	Deep Learning, ML Pipeline, Explainable AI
Stylianos Chazichronis	National and Kapodistrian University of Athens	Alzheimer's disease, Supervised learning, AD development
Tongtong Che	Shandong Normal University	group-wise registration
Aditya Chebrolu	Brain Health Alliance	PET, MRI, co-registration, image fusion
Gal Chechik	Bar-Ilan University	Deep learning
Lovena Chedumbarum Pillay	University of Oxford	MCI, AD, Predictive Analytics, Amyloid
Shuo Chen	National Innovation Institute of Defense Technology	deep learing, super resolution, medical imaging
JIANGWANG CHEN	SUNY BUFFALO	MRI
Xi Chen	University of Rochester Medical Center	APOE
Lele Chen	Nanjing University	fmir, lifestyle, AD, Comorbidity, brain network
Xiang Chen	University of Leeds	Image Registration, Deep learning
Gang Chen	Medical College of Wisconsin	fMRI, MRI
Yanghaoyu Chen	UF	Machine learning
Aidi Chen	Communication University of China	Brain tumour
GUILIAN CHEN	SHENZHEN UNIVERSITY	unsupervised segmentation
changhao chen	National Central University	CNN SVM LR
durong chen	shanxi medical university	Parkinson
Hui Chen	Shuguang Hospital	Alzheimer's Disease,functional connectivity
Gianna Chen	Shanghai Jiao Tong University	none
qiang chen	Donghua University	segmentation
Ziyi Chen	Carnegie Mellon University	Machine Learning coursework project
Xiao Chen	Amy Medical University, Daping Hospital	Amyloid PET, Alzheimer’s dementia, Amyloid staging
SHAOBO CHEN	Jinan University	colorization;regions segmention;unsupervised learning
wu chen	Huazhong University of Science and Technology	image processing
Yu Chen	Central South University	Do some researches about the AD
Fangzheng Chen	Shanghai Jiaotong University School of Medicine Ruijin Hospital	cognition AD
Yuanyuan Chen	Northwestern Polytechnical University	Alzheimer’s disease; Mild cognitive impairment;Deep learning
Ke CHEN	University of Nottingham	machine learning, early diagnose
Bingzhen Chen	University of Florida	statistical modeling
Yu-An Chen	National Yang-Ming University	Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Ling Chen	Zhejianglab	Graph convolutional network
Yihe Chen	Second Affiliated Hospital，Zhejiang University School of Medicine	perivascular space
Sophie Chen	Beijing University of Technology	fMRI classification
YINGJIA CHEN	Genentech	safety
Jinxin Chen	Chengdu University of TCM	alzheimer，sleep disorders，fMRI
Baolin Chen	Shanghai Uiversity of Finance and Economics	functional data analysis, samples of density functions
Xiao Chen	Beijing Normal University	Alzheimer’s disease,defalut mode network
Yu-Jen Chen	National Tsing Hua University	Machine Learning, Disease Prediction
Haifeng Chen	Affiliated Drum Tower Hospital, Nanjing University Medical School	memorry function; rTMS; multimodal neuroimaging
Keyu Chen	Liaoning Normal University	Resting state; dynamic; fMRI; Classification
sijie chen	Yitu healthcare technology	AD, classification, CNN
Chang-Le Chen	National Taiwan University College of Medicine	Diffusion MRI, White matter, Fiber cross-section
Yiming Chen	University of Maryland	neural network
Qian Chen	Nanjing Drum Tower Hospital	Subjective memory complaint, Neuroimage, Biomarker
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis, algorithm
Keping Chen	Southeast University	AD； circular RNA
Chao Chen	Stony Brook University	Image analysis, deep learning.
Ming-Hui Chen	University of Connecticut	Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Xu Chen	SAS Inc	Machine Learning
wuyang chen	Central South University	multimodal,registration
Hanxi Chen	Shanghai jiao tong university	causal discovery
HongGuai Chen	NCU	BDBC-2020
Huimin Chen	Beijing Tiantan Hospital, Capital medical university	cognitive impariment, perivascular space, Abeta/tTau
Gengsheng Chen	Washington University in St. Louis	amyloid, gwas
Lihui Chen	Sichuan University	Academic study
xiaotong Chen	huashan hospital of fudan university	Alzheimer's disease; biomarker; blood-based
Gavin Chen	Tianjin University of Technology and Education	czc960229
wenhong chen	Jilin university	Neuroimaging，Alzheimer's disease，Genes
Rong Chen	University of Maryland School of Medicine	machine learning
Kefan Chen	university of sydney	Alzheimer's patients
Gan Chen	University of Louisville	Hidden Markov Model, Disease Progression
Xiaozheng Chen	Xiamen University	neuroimaging, dynamic functional connectivity, deep learning,
Lin Chen	Johns Hopkins University	MRI, PET
Jinyang Chen	University of Georgia	Deep Learning, Machine Learning, Disease Diagnosis, Classification
HONGKAI CHEN	Juntendo University	Life1Dream
Hanyi Chen	University College London	subtype, disease progression, SuStaIn, AD
Tianhua Chen	University of Huddersfield	fuzzy systems, convolutional neural network, clinical decision support
Danni Chen	UCLA	deep learning, medical imaging, explainable AI, attention model
Qingmeng Chen	Tokyo Medical and Dental University	DTI, 3D-T1, Multiple sclerosis
Eric Chen	Indiana University School of Medicine	Tau, Braak regions, PET
Guan Wen Chen	NTHU	Alzheimer
William Chen	MagQu LLC	Longitudinal study, differentiate diagnosis, neurodegenerative diseases
Ting-Huei Chen	Laval University	structural equation modeling
huachang chen	Vanderbilt University Medical Center	imputation; methodology; evaluation; bioinformatics
yulong chen	zhengzhou university	MRI hippo subfeild segmentation
kunxu chen	Sun Yat-sen university	study
Siying Chen	BUAA university	study
Kuan Chun Chen	National Taiwan University	deep learning, dementia, Alzheimer
Battle Chen	FZU	multi-modal
minghao chen	East China Normal University	Causal Mediation analysis, MRI data，Alzheimer disease
Jingyun Chen	NYU School of Medicine	PET, Tau, Abeta, normalization
Chang Chen	Nanjing Drum Tower Hospital, Medical School of Nanjing University	neurologist
Guangxin Chen	University of Auckland	research
jiacheng chen	Zhejiang university of technology	MR image super resolution
Li Chen	Indiana University School of Medicine	GWAS, functional analysis, meta-analysis
fangyi chen	Hebei University of technology	classification tasks
Junjie Chen	Temple University	computational methods, integrative analysis, casual factors
Xin Chen	University of Nottingham	Longitudinal image feature extraction; disease diagnosis.
Zhi Chen	University of Electronic Science and Technology of China	computer vision, neuroimaging recognition, classification
junchao chen	Beijing University of Astronautics	cjc20011224
Siyi Chen	U of MN	GWAS
Qiufeng Chen	Fujian Agriculture and Forestry University/China	functional connectivity
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis
Shanshan Chen	the Affiliated Brain Hospital of Nanjing Medical University, Nanjing	Alzheimer's disease;Mild cognitive impairment;Subjective cognitive decline
Yuzhong Chen	UESTC	CNN AD
jiaao chen	Queen's University	research
Jason Chen	Bioclinica	Testing algorithms
hongyu chen	shanghai Nyuen	fMIR, GCN
Tao Chen	Wuhan University	Alzheimer’s Disease, visual features, MRI
hu chen	Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch	3D convolution，saliency maps,
Jiu Chen	Nanjing Medical University	AD, aMCI, DTI, sMRI, fMRI
bowen chen	Tongji University	course project, deep learning, Alzheimer's disease
Kevin Chen	Stanford University	multimodal imaging, image post-processing, spatial resolution
yaru chen	Jiangsu university	Health analysis
Bocheng Chen	huazhong university of science and technology	graphic analysis, PET
Yujie Chen	Wuhan University of Science and Technology	Alzheimer's disease, Early diagnosis, Conversion prediction
Dingfan Chen	max planck institute for informatics	Anomaly detection, deep generative model
Xinqi Chen	Guangdong University of Technology	computer vision, generative adversarial networks, synthesis of medical images
Xiaocong Chen	The University of New South Wales	Early Detection, Machine Learning
Qianyun Chen	The Chinese University of Hong Kong	deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Liang Chen	University of Macau	miRNA, biomarker
Sherry Chen	The University of Sydney	Frontotemporal dementia, longitudinal, neural correlates, cognition
Xin Chen	Shanghai East hospital, Tongji University, School of Medicine	Neurodegeneration, Alzheimer，cognitive impairment
shouyan chen	Guangzhou University	AI; Alzheimer detection
Zihao Chen	Shanghai Jiao Tong University	MCI AD predicting model
saiyuan chen	重庆邮电大学	study
Hao Chen	Shandong University of Finance and Economics	Brain Network Analysis, Alzheimer's disease, Classification
Kevin Chen	National Taiwan University	deep learning, PET/MRI
liangming chen	Lanzhou University	neural network, deep learning, Alzheimer
naijin chen	Anhui Polytechnic University	Medical image analysis
Huan Chen	Johns Hopkins Bloomberg School of Public Health	FDR control, variable selection
tao chen	south medical university	联合基金
Lin Chen	Johns Hopkins University	MRI, PET
Yu-Chi Chen	Monash University	cortical morphology, machine learning
Li Chen	University of Washington	Image processing
Ruijia Chen	University of California, San Francisco	biomarker studies
Shuang-Qing Chen	the Affiliated Suzhou Hospital of Nanjing Medical University	Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning
Yingchuan Chen	Beijing Tiantan Hospital	PD, fMRI, machine learning
jingyi chen	nanchanghangkonguniversity	MRI， brain segmentation
Fang Chen	jackson state university	image deep learning Alzheimer's
Geng Chen	Inception Institute of Artificial Intelligence	hippocampus segmentation
Irene Chen	MIT	machine learning, subtypes, disease progression
EDDIE CHEN	Stony Brook	machine learning, AI, MCI, AD
Hao Chen	Peking University	gene expression, rs-fMRI, Functional Network, Integrative Analysis
Chen Zi Yang Chen Zi Yang	Guangdong University of Technology	ADNI ; GAN; image segmentation
Jiaqi Cheng	University of Canterbury	CNNs model interpretability
WEI CHENG	Southern University of science and technology	machine learning
YYUAN CHENG	JILIN UNIVERCITY	DATASET
Xiaoqin Cheng	Zhongshan hospital	inflammation
Greta Cheng	NA	ADNI dataset, classfication, 3D CNN
yongting cheng	Washington University in St.Louis	Segmentation; Diagnosis ;Deep Learning;VAEs-GAN
Iris Cheng	Brown University	Alzheimer's, sex, apoe, cognition
Ruida Cheng	NIH	brain segmentation and classification
Weili Cheng	North China University of Water Resources and Electric Power	Time-dependent ROC curves with missing biomarkers
Wai Ho CHENG	The Hong Kong Polytechnic University	AD and mild cognitive impairment
ZHI HSIN CHENG	National Yunlin University of Science and Technology	Alzheimer’s disease machine learning
XL Cheng	XMU	Image synthesis , Experiments , CGAN
Xiangyi Cheng	Summer STEM Institute	Alzheimer's, Machine Learning, Disease Screening
Feixiong Cheng	Cleveland Clinic	artificial intelligence (AI); radiogenomics; Alzheimer's genomics
Xiaoqin Cheng	Zhongshan hospital	machine learning
Chenganen Chenganen	GuangDongBaiYun University	ADNI; FCN; GAN; predict
Tanya Chenhall	Cogstate	Cogstate
ChenJuan ChenJuan	中南民族大学	registration
Zhang Chenlin	Southwest University of Finance and Economics	010101icy
Li Chenping	Central South University	Alzheimer's disease
wang chenyu	zjut	research
Chenyu Shen Chenyu Shen	Hangzhou Dianzi University	scy19980415
ibtissem cherfa	université de Bejaia	01031950
Konstantin Chernukha	Temple University Health System	glymphatic pathway malfunction, dementia, screening
Anthony Chesebro	Columbia University	Network Model, Alzheimer's
Mark Cheung	Carnegie Mellon University	graph neural network, Spectral theory, neuroimage
Eva Cheung	University of HK	MRI PET AD MCI
Utkarsh Chhapekar	Manipal Institute Of Technology	Prediction, Alzheimers, Deep Learning
zhang chi	china university	research
Jingyi Chi	University of Pennsylvania	Deep Learning, GAN, MRI
Gloria Chiang	UCSF	DTI
Yuhei Chiba	Yokohama City University	Immunoogy autoantibody MRI
Lee Chien-Yi	Brain Navi biotechnology company	AI, image registration
Matteo Chieregato	Fondazione Poliambulanza, Brescia, Italy	CNN, MRI, CSF
Junichi Chikazoe	National Institute for Physiological Sciences	fMRI, MVPA
Nouha Chikhaoui	ESPRIT	Alzheimer
nouha chikhaoui	ESPRIT university	Alzheimer
Geetha Soujanya Chilla	A*STAR	Segmentation
Sri sruthi Chilukuri	San Jose state university	Disease, outbreak, analysis , solution
Andrea Chincarini	INFN	longitudinal studies, MCI, network, atrophy measurements
Vernon Chinchilli	Penn State College of Medicine	GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS,
paneeth chinta	Bangalore Institute Of Technology	Alzheimers, CNN
Konstantinos Chiotis	Karolinska Institutet	AD, MCI, PIB, FDG, AV-45
Robert Chirwa	Bluegrass College	Machine Learning; Multi-omics; Alzheimer
Md. Main Oddin Chisty	Khulna University of Engineering and Technology, Khulna, Bangladesh	fMRI, Alzheimer, Lenet-5,vgg16, CNN, alexnet,
YOGITA CHITRIV	Yeshwantrao Chavan College of Engineering, Nagpur	Brain Image, Alzheimer, Segmenation, Classification
Sheng-Chieh Chiu	The University of Alabama at Birmingham	FreeSurfer segmentation
HSIU HUI CHIU	National Cheng Kung University	brain structure changes
HSIU HUI CHIU	AcroViz	image artifact
hyugrae cho	samsung electronics	AI, machine learning
Youngjoo Cho	The University of Texas at El Paso	Survival analysis, Prediction models
HyungJin Cho	University of Southern California	Alzheimer's Disease Neuroimaging Initiative (ADNI)
Sang Yeon Cho	Medical School of Chungnam University	Alzheimer’s disease, microglial phagocytosis
Dong Ho Cho	Korea Advanced Institute of Science and Technology (KAIST)	Machine Learning, Biomarker, Classification, Diagnostic
Hyuna Cho	POSTECH	brain connectivity
Hyewon Cho	UNIST	AD early detection, AI, ML, ensemble, multimodality, deep learning
sang soo cho	Seoul National University	BrainAge, machine learning, OCD, Shizophrenia
Youngbok cho	Daejeon University	Alzheimer's Dementia, MRI, PET, Protein Folding
Hyun Jae Cho	University of Virginia	knowlege extraction, machine learning, Alzheimer's disease
Soo Hyun Cho	Chonnam National University	SNAP
Sang Kyu Cho	University of Houston - Houston, TX	prognostic factors
Patricia Chocano-Bedoya	Bern Institute of Primary Care	metabolomics biomarkers dairy cognition
Sandra Chocron	UT Health San Antonio	ceramide catabolism
Young Min Choe	Dongtan Sacred Heart Hospital	Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
Mark Choe	NCIRE	Imaging, Processing
LEE CHOEL HUI	Korea University	Alzheimer's disease
Uksu Choi	Chosun University	Cortical thickness, VBM
Yong-Ho Choi	hanyang university	Imaging genetics
ByungWook Choi	Daegu Catholic University School of Medicine	PET, serum markers, AST, ALT, ALP, Calcium, TFT
Jungwon Choi	KAIST	sMRI, Classification, Breain disease
Seo-Eun Choi	University of Washington	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Kyu Sung Choi	Korea Advanced Institute of Science and Technology (KAIST)	follow-up
Tae-Min Choi	KAIST	Deep learning, classification, early diagnosis
hyujin choi	korea university	hyunjin
Sunghoon Choi	Korea Research Institute of Standards and Science	Generative adversarial network, synthetic PET
Junghwan Choi	.	.
Eun Young Choi	Stanford University	thalamus, rsfMRI
Jae Won Choi	Armed Forces Yangju Hospital, South Korea	MRI, deep learning, Image-to-image translation
James Choi	Sabio Research	Alzheimer Machine Learning Neural Networks
Yoon Seong Choi	Severance Hospital, Yonsei University College of Medicine	Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
Woo Hee Choi	College of Medicine, The Catholic University of Korea	striatum, amyloid PET, tau PET
Bo Kyu Choi	Yonsei university	prediction model
Yu Yong Choi	Chosun University Hospital	ethnic differences, normal aging
Junsik CHOI	Korea Univ.	Deep learning
byung hyug choi	KAIST / korea	machine learning, network embeddings, Alzheimer feature extraction
juyeon choi	kbri	database, web, analysis
Hongyoon Choi	Cheonansi Public Health Center	Metabolic network, FDG, Amyloid
duck ho choi	Sung Kyun Kwan Univ.	Alzheimer
chee keong chong	University Teknologi Petronas	CNN, deep learning, classification,
Shin Wee Chong	Carl-von-Ossietzky Universität Oldenburg	Advance longitudinal modeling, structural equation, bidirectional relationship
Joyce Chong	National University of Singapore	Biomarkers statistical workshop
Song Chongchong	BUAA	medical images processing
Jill Chotiyanonta	AnatomyWorks, LLC	Brain MRI, Neuroanatomy, Segmentation
zheping chou	First affiliated hospital of Suzhou University	multi-modal imaging markers cognitive decline.
Yu Wen Chou	National Chin-Yi University of Technology	Deep learning
Hsiang-Chin Chou	Massachusetts General Hospital	SEX, 18F-Flortaucipir (FTP)-PET signal, Abeta-PET
SOURABH CHOUBEY	Indraprastha Institute of Information Technology Delhi	Detection, Machine Learning, Diagnosis
Amit Choudhari	Tata Memorial Hospital	dti
Aadarsh Choudhary	Bengal College of Engineering and Technology, Durgapur	Alzheimer's Disease
Supriyo Choudhury	Institute of Neurosciences Kolkata	teaching, learning, connectomics
Jeiran Choupan	USC	PVS
Vincent Chouraki	Institut Pasteur de Lille	GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Ioanna Chouvarda	VTT	network analysis, causality
Kwan-Yin Chow	National Taiwan Normal University	Dataset , Skull stripping
Anjan Chowdhury	ISI-Kolkata	functional connectivity, Alzheimer, Brain connectome
Samadrita Chowdhury	University of Massachusetts,Lowell	Graphs, CNN, PET, FMRI
linkon chowdhury	East delta university	GO_PEPTIDOGLYCAN_RECEPTOR_ACTIVITY
Luke Christenson	Mayo Clinic	Data, MRI, PET
Amanda Christini	Blackfynn, Inc	Algorithms, data integration, multimodal data biomarkers
Julia Christy	Newcastle University	neuroscince
Nan Chu	National Central University/CWLab International	brain image data bank, AI analytics, neurotechnology
Yan Chu	University of Texas Health Science Center at Houston	deep learning, time series, AD onset prediction
Chu Yang Chu	China Jiliang University	Research, learning
Winston Chu	University of Florida	diffusion MRI, AD, free water, basal forebrain
Wang Chu	Nanjing University of Science & Technology	imaging data
Russ Chua	Institute for Infocomm Research	computer vision
Adichan Chuajinda	Siriraj hospital	Dementia risk
xu chuanbin	shandong University of Science and Technology	1
jayrajsinh chudasama	Birla Vishvakarma Mahavidyalaya	dataset mri image with label
Evgeny Chumin	Indiana University-Bloomington	connectivity, tau, graph theory.
Ina Chun	n/a	CNN, visualization, deep learning
Min Young Chun	Samsung Medical Center	Alzheimer's disease
Timothy Chun	Veteran's Affairs	Machine Learning
Chang Chun Yang	National Cheng Kung University	Alzheimer , Amyloid PET
Chang Chun Yang	National Cheng Kung University	Amyloid PET
Tung Chun-Wei	Taipei Medical University	biomarker research
Jaeyoon Chung	Boston University School of Medicine	GWAS CSVD stroke ICH
Yunro Chung	Arizona State University	Biostatistics; biomarker
Hyun Jy Chung	Stony Brook University	FWER
Julian Chung	Nanyang Technological University	Machine Learning
shi chunlei	Beijing Normal University	Machine Learing,Hidden information
Tang Chunyan	The second affiliated of Chongqing Medical University	tcy972626
jiang chunyu	NEU	jcyypbed627!
YJ CHYU	Brain institue	Thank you
Iacopo Ciampa	Johannes Kepler Universität Linz	AI, Alzheimer, Federated Learning, Deep Learning
Silvia Ciappelloni	OnePoint Group	images analysis AI deep learning
Andrea Ciarmiello	Medicina Nucleare - S. Andrea Hospital	Mci trajectory, Deep learning, onset prediction
Alessandro Cicerale	Università degli Studi di Torino	Hippocampus, ml
Filippo Ciceri	Oryzon Genomics S.A.	AD progression, PhIIa clinical study
Filippo Cieri	Cleveland Clinic	resting state; entropy; mci; cognitive reserve.
Ignacio CIfre	URL	fRMI, dFC, FC
Davide Cipollini	University of Groningen	AI, neuroimaging, Generative approach, data augmentation
Emilio Cipriano	University of Pisa	Graph Theory
Biji CL	University of Kerala	Machine learning , Deep learning
James Clark	Diadem	Prognostic, Diagnostic, Biomarkers, CN, MCI, AD
David Clark	Indiana University	Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency
Andrea Clark-Sevilla	Johns Hopkins APL	precision medicine, brain biomarkers
Jamie Clarke	University of Miami	CSF biomarkers, Alzheimer's disease, NPS, NCI
Tayla Clasper	University of Auckland	Alzheimer's disease, lifestyle, ageing, mild cognitive impairment
David Clayton	Genentech	image processing, Alzheimer's disease, MRI
Mark Clement	Brigham Young University	DREAM Challenge
Christoph Clement	Inselspital Bern	CNN, Deep Learning, AI, Saliency
Albert Clèrigues	Universitat de Girona	atrophy, pbvc
Isabelle Cleynen	KU Leuven	polygenic risk score
James Clifford	college of san mateo	Alzheimer's disease
David Clunie	PixelMed Publishing and RadPharm, Inc	DICOM compression
Bethany Coad	Cardiff University	Thalamus Amyloid
William Coath	UCL (University College London)	PET, amyloid, SUVR, Centiloid
Bernard Cobbinah	University of Electronics Science and Technology of China	Convolutional Neural Networks
Derin Cobia	Brigham Young University	Thalamus, clinical phenotype, AD, neuropsychology
Yann Cobigo	Unversity of California San Francisco	Dementia, Normal Aging
Karly Cody	University of Wisconsin - Madison	Biomarkers
Leandro Coelho	Pontifical Catholic University of Parana	machine learning, fMRI, deep learning.
Mirthe Coenen	UMC Utrecht, The Netherlands	white matter hyperintensity, memory clinic patients, lesion symptom mapping
Hugo Cogo-Moreira	Universidade Federal de Sao Paulo	Dynamic structural Equation modeling, latent variable, multilevel analysis
Petrice Cogswell	Mayo Clinic	MRI, aging
Carl Cohen	SUNY Downstate Medical Center	Alzheimer's disease; cognition, course trajectory
Isabelle Cohen	The Potomac School	AD, immune system, CSF
Cynthia Cohen	California Southern University	Alzheimers
Brett Cohen	King's College London	MCI, MRI, phantom
Michael Colbus	Liquid Biosciences Inc.	Synapse, validation, insights
James Cole	Imperial College London	Aging, Machine learning, T1, DTI
Patrick Colletti	USC	Dementia; FDG PET; MRI volumetry
Brian Collica	University Of California, Berkeley	Capstone
David Collier	Eli Lilly and Company Ltd	Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s
Christopher Collins	New York University	MRI safety, SAR, temperature
Fraser Collins	Logicearth Services	Alzheimer's Imaging
Tommy Collins	Emerald Labs	machine learning
Arzu Coltekin	University of Applied Sciences and Arts Northwestern Switzerland	machine learning, deep learning, automated data analysis
Robert Comley	Abbvie inc	PET, MRI
Lin Cong	University of California, Riverside	Modal regression
Shan Cong	Harbin Engineering University	Structural MRI analysis, genetic analysis, multi-omics, AD
Lin Cong	University of California, Riverside	Modal regression
wamg congcong	anhuidaxue	Visual medicine
yin congfeng	Tsinghua University	experiment, deep learning models
William Connelly	University of Tasmania	machine learning, teaching excersise
Lindsay Conner	University of Central Florida	Adult Development and Aging; Healthy Aging; functional connectivity; structural
Joanne Conover	University of Connecticut	Aging, Alzheimer's disease, MRI, FLAIR-MRI
Nicholas Constant	University of Rhode Island	digital cognitive biomarkers
Maria Constantinou	University of Cyprus	MRI, resting state fMRI, deep learning
Cat Conti	NCIRE	admin core
Silvia Contreras	Universidad Autonóma de Ciudad Juárez	alzheimer image processing dementia mri
Joey Contreras	USC Keck School of Medicine	Inflammation, conversion, APOEcarrier
Nick Cooper	Technology company	EEG
Michael Coopman	University of Texas at Arlington	Medical image registration, Image segmentation, Voxelmorph, Deep learning
Gianfilippo Coppola	Yale University	deep learning, AD subtypes
Devani Cordero	Massachusetts General Hospital	segmentation hippocampus
Aldo Cordova Palomera	Takeda	Neuroimaging, Genetics, Neurodegeneration
Ronal Coronado	Biomedical Imaging Center, Pontificia Universidad Catolica de Chile	Gridding artifacts
John Corradi	Arvinas, Inc.	CSF, biomarkers, proteostasis
Nicole Corso	Stanford University	default mode networks, networks, imaging
Constanza Cortes	University of Alabama at Birmingham	exercise, skeletal muscle, CNS aging, Alzheimer's Disease
Callum Cory	University of Auckland	Deep learning, brain network analysis, graph theory
Josh Cosman	Abbvie Inc.	Cognition, Modeling, Longitudinal Change
Bruno Costa	USP	CNN
Ana Sofia Costa	University Hospital RWTH Aachen	amyloid deposition, microangiopathy, microbleeds, phenotype, progression
Beatrice Costa	University College London	r programming, neurodegeneration, workshop
Antonio Costa Freire	University of Warwick	Alzheimers
Alejandro Costoya-Sánchez	University of Santiago de Compostela	Alzheimer's Disease, PET imaging, tau pathology, Flortaucipir
Victor Costumero	Universitat de València	mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard	CNS-Fed	Neuropsychology, Aging, Eye movements, Vision
Gillian Coughlan	Baycrest	Biomarkers, Alzheimer's disease, resting-state fMRI
Pierrick Coupé	LaBRI UMR 5800	hippocampus
Matthieu Coupet	XLIM	Deep learning MRI
Megan Courtman	University of Plymouth	Parkinsons Disease, machine learning, AI, neural networks, MRI
Jared Courtney	The Hill School	high school research
Elizabeth Couser	University of Maryland, Baltimore	imaging, Alzheimer's
Oliver Cousins	King's College London	TREM2 CD33 genetic Alzheimer's risk factors.
Baptiste Couvy-Duchesne	Institute of Molecular Bioscience	Advanced brain aging, prediction, structural MRI
Hannah Cowley	Johns Hopkins University Applied Physics Laboratory	connectomics, precision medicine, data science
Timothy Cox	CISRO	Cognitive Composites, PACC, Disease trajectory
Kevin Coyle	Florida State Univeristy	Machine Learning Biomarker Nueral Network Early Identification Infomation.
Erin Craig	Stanford University	survival analysis, statistical methods
Breanna Crane	Vanderbilt University	Atrophy, Connectivity, MCI
Paul Crane	University of Washington	mediation, alzheimer's, biomarkers
Skyler Cranmer	The Ohio State University	functional connectivity, deep learning, exponential random graph models, LSM
Byron Creese	King's College London	polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
Samuel Crerar	University of Hull	deep learning analysis prediction
Carlos Crespo	Methinks Software	Deep learning
Maria Crespo	arraste	processing and MRI
Ariela Crestani	Sao Jose do Rio Preto Medical School (FAMERP)	lipid metabolism, protein modification, palmitoylation, metabolomics, lipidomics
Marta Criado	Universidad Complutense de Madrid	deep learning, investigation, prediction, networks
Ivor Cribben	University of Alberta	Networks; Longitudinal networks; Resting state
Alessandro Crimi	Sano center for computational medicine	snp, genomics, tractography
Alessandro Crimi	University of Zurich	radiogenomics
Alessandro Crimi	Sano center for computational medicine	snp, genomics, tractography
Alexandru Cristiean	University of Sussex	bachelors
Greg Cron	The Ottawa Hospital	perfusion, ASL, DCE, DSC, MRI
Philip Crooke	Vanderbilt University	A-to-I editing, inflammation, biomarkers
Carlos Cruchaga	Washington University School of Medicine	CSF, plasma, RBM, GWAS, whole-genome
Erica Cruz	Old Dominion University	Machine Learning, Deep Learning, Alzheimers Disease
Heloiza Cruz	PUC MINAS	alzheimer's
Hugo Cruz-Suárez	Benemérita Universidad Autónoma de Puebla	Big Data, Hidden Markov Models, Stochastic optimization
Josephine Cruzat	Universitat Pompeu Fabra	Alzheimer; timescale; whole-brain modeling
xiaonan cui	hangzhou dianzi university	one class classification
derek cui	PUMC	Hippocampus, thalamus, amygdala subregion
kunpeng cui	ZhengzhouUnivercity	medical image registration
JIANAN CUI	Massachusetts General Hospital	medical image processing
Licong Cui	The University of Texas Health Science Center at Houston	Informatics tool, ontology, hypothesis generation
Can Cui	Vanderbilt University	Multi-modality learning
Jing Cui	Centre hospitalier universitaire vaudois	The Human Brain Project
Wenxuan Cui	University of Nottingham	MCI, MRI, Machine Learning
Jing Cui	GSK	endophenotype GWAS, subtype AD
Dong cui	1978	cd_ggh100200
Tolga Cukur	Bilkent University	Learning-based registration
Nicholas Cullen	Lund University	plasma
Nicholas Cullen	Lund University	clinical trials, power analysis, screening, enrichment
Kamryn Cullen	George Mason University	Biomarkers, Data Analytics, Health Factors
Irene Cumplido Mayoral	BarcelonaBeta Brain Research Center	amyloid, machine learning, prediction, classification
Charles Cunningham	University of Toronto	13C lactate ANLS
Geoff Currie	Charles Sturt University	artificial neural network, machine learning
Sean Curtin	IAM	Alzheimers vs. Healthy Brain Research
David Curtis	UCL	sequence variant DNA
Daniel Cutter	University of Birmingham	CNN, conv net, convolutional neural network
Renjith CV	JSPM RSCOE	deep learning
Max Cynader	University of British Columbia	Alzheimer's Disease, machine learning, cognitive impairment risk
Esha Cyril	Pioneer Academics	highschooler, neural networks, ADNI data
Alexis Czippel	University of Victoria	Superagers, superaging, functional connectivity
Per Steffen Czolbe	University of Copanhagen	Medical Image Registration
ty d	Shanghai Maritime University	fMRI
Saai Sudarsanan D	SASTRA Deemed to be University, Thanjavur	Data Analytics, CNN Algorithms, Machine Learning, GatesNotes
VIJAYANAND D	NANYANG TECHNOLOGICAL UNIVERSITY	TDA
SRUTHI D S	TKM College of Engineering Kollam	multi-modality diagnosis
Federico D'Agata	University of Turin	hippocampus; machine learning
Giovanni D'Ambrosio	University of Guelph	Impact, MRI,
Bendan Da	Beijing University of Technology	Alzheimer's Disease
Lucas Da Costa	College	Convolutional Neural Network, AD diagnosis, MRI
Anuschka da Silva Spinola	University of Coimbra	machine learning, prediction models, biomarkers, Alzheimer's disease
Baik Da young	Hankuk University of Foreign Studies	medical image analysis with deep learning
Sanaz Dabiri	Howard University	Alpha-synuclein, inflammation, tau, AD
Zhang dachuan	FUDAN UNIVERSITY	study
Michael Dada	Federal University of Technology, Minna, Nigeria	Machine learning, MRI, ANN
Mahsa Dadar	McGill University	small vessel disease, white matter hyperintensities
Mahed Dadgostar	MISP_mui	fmri nifti
Kamalaker Dadi	INRIA	fMRI
Anant Dadu	UIUC	Machine Learning, Predictive Modeling, Alzheimer's Disease, Progression
QIN DAFEI	The University of Hong Kong	Alzheimer's Disease Prediction, Graph Convolutional Networks, Explainable AI
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
Mathieu DAGREOU	ENS Paris-Saclay	Disease progression score, Biomarkers, Alzheimer's disease, statistical model
yousra dahdouh	fst	image medical,biomarquer
Robert Dahnke	University Aarhus	gyrification
Haixing Dai	University of Georgia	NAS PET
Zongyu Dai	University of Pennsylvania	Missing data imputation
xijian Dai	Kangning Hospital in Shenzhen	old people, cognition
Peng Dai	Ryerson University	deep learning, LSTM, explainable AI
Zhengjia Dai	Sun Yat-sen University	Alzheimer's disease; functional connectivity; structural connectivity
Ke xuan Dai	Communication University Of ZheJiang	Dynamic Brain Connectivity Preprocessing
yl Dai	Central South University	Multimodal Data Analysis; Diagnosis of Alzheimer's Disease
Xi Dai	Renmin University of China	111
Xiangwei Dai	Beijing Normal University	amyloid deposition, grey matter
Qi Dai	Beijing University of Technology	Research needs
Zhengjia Dai	Sun Yat-sen University	Alzheimer's disease; functional connectivity; model
Yichao Dai	Shanghai Maritime University	FMRI deep learning network
yulin dai	University of Texas health science center at Houston	GWAS, CSF tau concentration, AD
tomomi daigo	Nara Institute of Science and Technology	medical image synthesis
Ryo Dairiki	Eisai Co., Ltd.	MCI-to-AD-conversion
Hiromitsu Daisaki	Gunma Prefectural College of Health Sciences	Deep learning AI PET
HARSH DALAI	NIT RAIPUR	ADNI
Josue Luiz Dalboni da Rocha	Univeristy of Geneva	DTI, freesurfer, parahippocampal gyrus, AD, MCI
Adrian Dalca	Massachusetts Institute of Technology	medical image analysis, genetics, DREAM challenge
Anders Dale	University of California, San Diego	image analysis, statistics, test and validate
HARITHA DAMARLA	MATURI VENKATA SUBBARAO ENGINEERING COLLEGE	Mutimodal, image, cinical/patient personal information
Pablo Damasceno	UCSF	neurodegeneration; brain atrophy; neuropathology
stefano damiani	The Royal Hospital	Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Haleh Damirchi	Amirkabir university of technology	Neuroscience, machine learning, Statistics
Jessica Damoiseaux	Wayne State University	functional connectivity, hippocampus, cognition
hong dan	xiamen	study adni
hong dan	xiamen	study adni
jiajun dang	qiqihaerdaxue	数据
Hao Dang	Beijing University of Posts and Telecommunications	deep learning
Christa Dang	University of Melbourne	cognition, MRI, APOE, longitudinal, biomarkers
huy dang	Penn State University	functional data, spiky data, function estimation
Anton Danker	Royal Institute of Technology	Alzheimers Dementia Vascular Dementia Transfer Learning
Dominic Danks	University of Birmingham	Dimensionality Reduction; Pseudotime; Biomarker modelling; Disease progression
Garrison Danley	Mass General	mri, motion, artifacts
Christian Dansereau	Perceiv Research, Inc.	Biomarker, progressors prediction, cognitive decline
Hákon Dansson	Chalmers University of Technology	AI, Machine learning, β-amyloid, plaques
Zhang Daoan	Southern University of Science and Technology	GNN, CNN
GOWHAR DAR	LOVELY PROFESSIONAL UNIVERSITY PUNJAB	CNN,DEEP LEARNING,AUTOMATED
SUHAIL AHMAD DAR	Aligarh Muslim University	Alzheimer's, MCI, Deep Learning , Diagnosis
Rayees Dar	Islamic University of Science and Technology	CNN, Deep Learning, Artificial Intelligence, Medical Imaging
Sumanth Dara	University of California Riversid	MRI, Substantia Nigra, Locus Coeruleus, Machine Learning
Sajad Darabi	University of California, Los Angeles	Machine Learning, Heterogeinity, Clustering
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
Erfan Darzidehkalani	UMCG	Medical , deep learning, GANs
Ayantika Das	HTIC,IITM	Classification of brain MRI
Priya Das	Kalinga Institute of Industrial Technology	biomarker, machine learning, MRI, AD
Sandhitsu Das	University of Pennsylvania	hippocampus MCI
Priya Das	Kalinga Institute of Industrial Technology	biomarker, machine learning, MRI, AD
Ruchika Das	Tezpur University	Alzheimer analysis
eashita das	Dr. Eashita Das	data mining, analysis
Dulumani Das	Gauhati University	Image Processing . segmentation. MRI.
Debarpan Das	University of Alberta	Registration
Srihitha Dasari	iResearch Institute	Alzheimer's disease, gray matter, white matter, hippocampal volumetry, MRI
Aishee Dasgupta	Chennai mathematical Institute	TDA
Suryansu Dash	College of Engineering and Technology, Bhubaneswar	Dementia Classification, Deep Learning, detection of onset
Ashkan Dashtban	University College London	Brain Imaging, Cognitive Impairment
Rohan Datta	Army Institute of Technology	deep learning, fMRI, CNN
Prasun Datta	Bangladesh University of Engineering & Technology	Brain MRI Scan
Ritobrato Datta	Johnson and Johnson	resting state fMRI, tau-PET
Adam Datta	SWPS University of Social Sciences and Humanities	convolutional neural network, image identification, MRI, Alzheimer’s Disease
Aigerim Dautkulova	Clarmont Auvergne University	subcortical
Deana Davalos	Colorado State University	TBI, biomarkers, dementia, pathological aging
Christos Davatzikos	University of Pennsylvania	classification, MCI, conversion to AD
Pranjal Dave	Ryerson University	Deep Learning, Computer Vision
Alice Davies	University of Birmingham	neuroimaging, dementia, machine learning
Cintia Davila Rodriguez	Illinois Institute of Technology	deep learning classification
Wade Davis	FAU	MTL, EMCI
Ragavamsi Davuluri	Gudlavalleru Engineering College	Alzheimer
Gerry Day	Louisiana State University	deep learning neuroanatomy segmentation
Eran Dayan	University of North Carolina at Chapel Hill	resting state, connectivity, machine learning
Chaitra Dayananda	Chosun University	AD
wang dayu	henan university	greduate student reaserch
Arijit De	Jadavpur University	classification; prediction; alzheimer's
Bianca De Blasi	Ixico	Medical imaging analysis, Biomarkers
Renske de Boer	Quantib B.V.	evaluation, segmentation
Marleen de Bruijne	Erasmus Medical Center	image analysis
Alex de Crespigny	Genentech Inc	training, teaching
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
jose miguel de la casa	deloitte	machine learning , neuronal network cnn
Raelynn de la Cruz	Cleveland Clinic Nevada	dementia, Alzheimer's, hippocampus, aggression
Angel de la Vega Jimenez	University of Granada	Deep learning, CNN, Alzheimer disease
Siemon de Lange	University Medical Center Utrecht	connectome, structural connectivity, Alzheimer, MCI
Alberto De Luca	UMC Utrecht	diffusion MRI, connectivity
Ashley De Luna	University of California, Merced	classification, neural networks
Amy De Lury	Stony Brook University	Alzheimer's Disease, MCI, MRI, cortical thickness, subcortical volumes
Matteo De Marco	University of Sheffield	Alzheimer's disease, mild cognitive impairment, resting state
PEDRO MANUEL RODRIGUES DE MOURA	UFG	Data Science
Fernando de Natali Frascá	Universidade Federal de São Carlos - UFSCar	segmentation, medical images
Pedro Renato De Paula Brandão	UNIVERSITY of Brasília	Parkinson, dementia, MRI, DTI
MAURIZIO DE PITTA	BASQUE CENTER FOR APPLIED MATHEMATICS	biomarkers, neuron-glial, astrocytes, inflammation, ROS, transcription factors
Itziar de Rojas	Fundació ACE	sTREM2
Micol de Ruvo	Philyra UG	Parkinson's, olfaction, machine learning
Lisa Anita De Santi	Università di Pisa	Deep Learning, CNN, XAI
Susan De Santi	Eisai	Normal controls, Mild Cognitive impariment, biomarkers, cognition
Maxim De Schaepdryver	KU Leuven	Biomarker course
Senuri De Silva	University of Moratuwa	machine learning MRI fMRI PET
Eric de Silva	University College London	polygenic risk scores; cardiovascular disease
Maria Stefania De Simone	IRCCS Santa Lucia Foundation	Mild cognitive impairment; Memory; Voxel-based morphometry; Longitudinal study
Paul De Sousa	Massive Analytic	data science machine learning, neurodegenerative diseases, blood biomarkers
Edson de Sousa Silva	IESB	Machine Learning Biomarkers Artificial Intelligence Deep Learning
Wieske de Swart	Radboud University Nijmegen	Alzheimer's disease, deep learning, multi-modality, incomplete data
Wieske de Swart	Radboud University	cognitive decline, survival analysis, clinical data, machine learnin
Javier De Velasco Oriol	Instituto Tecnologico y De Estudios Superiores de Monterrey	Machine Learning, Deep learning, Genomics
Bob de Vos	Amsterdam University Medical Center	deel learning, super resolution
Rashid Deane	University of Rochester	Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
Alison Deatsch	University of Wisconsin - Madison	FDG PET, deep learning, CNN, diagnosis, biomarker
Tanmay Debnath	PDPM IIITDMJ	bioinformatics, artificial intelligence
Charles DeCarli	University of California at Davis	MRI, cerebrovascular disease
Summer Decker	University of South Florida Morsani College of Medicine	morphometrics
Berina Dedovic	Faculty of Electrical Engineering University of Sarajevo	dataset; alzheimer; eeg
Ana Defendini	University of Pennsylvania	Imaging
samuella degbey	Altran	image processing brain pathology
Hamed Dehghani	Neuroimaging and Analysis Group (NIAG)	machin learning, agnig, cognitive impairement
Farzaneh Dehghani	University of Esfahan	Alzheimer's disease, deep learning
PRIYANUJ DEHINGIA	ASSAM ENGINEERING COLLEGE	Alzheimer's, Deep Learning
Amir Dehsarvi	University of Aberdeen	biomarkers
Casval Deikum	Chinese Academy of Science	slurm test
NILAM DEKA	ASSAM ENGINEERING COLLEGE	ALZHEIMERS DATASET
Vishal Narayan Deka	National Institute of Technology, Silchar	Deep Learning, Medical Imaging, Early Detection of AD
Martina Del Giovane	Imperial College London	dMRI, dementia, neuropsychiatric, neurodegeneration
Motahare Delbari	Tubingen university	neuroscience
Andrea Dell Orco	Charite Berlin	wmh
Stefano Delli Pizzi	Univesity of Chieti-Pescara	Alzheimer's Disease, Biomarkers
Antoine Delmas	Syneika	transcranial magnetic resonance target
Olivier Delrieu	SAS FifteenKay	Consulting, C4X Discovery Ltd
zeynep demir	University of California San Francisco	ADNI
Beatrice Demiray	Technical University Munich, Germany	Deep Learning; Neural Networks; Detection; Segmentation; Multi-Modal
Harriet Demnitz-King	University College London	Biomarker statistics
lingling dend	CSU	2d REHO AD functional activity
Simin Deng	Tungwah Hospital of Sun Yat-Sen University	Subjective cognitive decline
guodeng deng	ningxia	registration
Shiling Deng	Chongqing University of Posts and Telecommunications	undergraduate thesis, academic usage
Zhenhong Deng	Sun Yat-Sen memorial hospital, Sun Yat-Sen University	Dementia; mild cognitive impairment; single nucleotide polymorphism; prognosis;
Yu Deng	Kings College London	Medical Image Analysis; Domain Adaptation; Deep Learning
Jinxian Deng	MSU	AI, model
Simin Deng	Southern Medical University	SMC NC
Xinling Deng	Tongji University	Deep learning, the diagnosis of Alzheimer's disease
ZhengZheng Deng	Shanghai Brain Science and Brain-Inspired Intellegence	data-mining, big data, Alzheimer's disease
Yatsen Deng	Harbin Institute of Technology	AD hippocampus morphological changes
Tian Deng	Sun yat sen university	artificial intelligence，Medical image processing
mujiang deng	Beijing University of Aeronautics And Astronautics	deep learning model
Simin Deng	Southern Medical University	SMC NC
Ianien deng	Beijing University of Aeronautics And Astronautics	dmj66622
Rezwan Derakshan	urmia university	data mining
Huseyin Derbent	University of South-Eastern Norway	Deep Learning, Convolutional Neural Networks, Alzheimer's Disease, Classifcation
Mustafa Dere	UNCG	deep learning
Natan Derek	Southern Taiwan University of Science and Technology	FMRI, DEEP LEARNING
amine derra	hassiba ben bouli	AI
juhi desai	In-Med Prognostics	volumetric
Shekha Desai	Vishwakarma Government engineering college	Early detection of AD, ML approach for AD diagnosis
pranav desai	scet	machine learning
Marie Deserno	University of Amsterdam	autism, neurodegenerative disorders
Akshay Deshpande	University of Queensland	machine learning, artificial intelligence, healthcare
Aditi Deshpande	Aditi Deshpande	cerebral vasculature, time of flight
Antoine Désilets	Université de Sherbrooke	GPR3, GPCR
Anita DeStefano	Boston University	Alzheimer, genetics, association
Meng Detao	Beijing Rehabilitation Medical College, Capital Medical University, Beijing, Chi	Parkinson's disease； activity of daily living
Kacie Deters	UCSD	alzheimer's; cognition; biomarkers
Vivek Devadas	Banner Alzheimer's Institute	Kewei Chen
Gabriel Devenyi	Douglas University Mental Health Institute, McGill University	MRI
uma devi	bharathiyar University	PET image
Denise Dewald	University Hospitals Cleveland Medical Center	sleep apnea, soft palate, tongue position
ding dewen	Chongqing University Of Posts And Telecommunications	adni
Blake Dewey	Johns Hopkins University	mri, ct, synthesis
Sanjoy Dey	IBM Research	AI
Debojyoti Dey	Personal	ML based explorations
Saumil Dhankar	Independent voluntary research for IEEE BDBC 2020 challenge	Diagnosis, Symptoms, Assessment, Cognitive, Demographics, Imaging, MR
Shravan Dhar	UVCE	Alzheimer
Moyez Dharsee	Ontario Cancer Biomarker Network	integration, analysis
Priya Dharshini	P. A. C. E. T	Adni database
Sriram Dharwada	Indian Institute of Information Technology, Nagpur	Deep Learning model using CNN and LSTM
Andrew Dhawan	Cleveland Clinic	SNP, CSF biomarker, Imaging correlate
eric dhillon	univ of toronto	MRI volumetric analysis regional cortical white matter
Shivani Dhiman	University of Delhi	Early Detection
Radman Dhrubo	Bangladesh University of Professionals	Machine Learning, SVM, KNN, NN.
Xiong dhui	WHU	Segmentation
Xin Di	University of medicine and dentistry of new jersey	connectivity, pet
Hao Di	XJTU	Result repeat
Francesco Di Lorenzo	University of Sussex	AD, functional conncectivity, ApoE, computational model, disease progression
yang diandian	AnHui University	GCN, PET, sMRI
Alisha Dias	St. Francis Institute of Technology	Detection, Stage, Alzhiemers
Maria de Fátima Dias	University of Coimbra	Ageing, Deep Learning, Regression
Mauricio Diaz	Inria	AD, Deep Learning
Jose David Diaz Roman	Universidad Autonoma de Ciudad Juarez	Deep learning, transfer learning, Alzheimer classification,
Mehdi Diba	Shahrood University of Technology	ADNI data analysis,deep learning
Stefano Diciotti	University of Bologna	texture analysis, fractal analisys, machine leaning, MRI
Bradford Dickerson	Massachusetts General Hospital	MRI, PET, cortical thickness, MCI, AD
Philip Dickinson	McGill University	resting state, connectome wide association
Chen Die	Zhejiang Gongshang University	Zhejiang Gongshang University，analyze the paper
Donna Dierker	Washington University School of Medicine	ADOPIC
Kersten Diers	German Center for Neurodegenerative Diseases	quality control; statistical modeling
Louis Dieumegarde	IUSMQ	Database
Ibai Diez	Massachusetts General Hospital	AD, fmri, DTI, PET
Rebecca DiGati	American College of Radiology CRI	Flortaucipir, AV1451, Tau, Florbetapir, AV45, PET, Amyloid
Allison Dillon	Genentech	dictionary
Konstantina Dimaki	Wentworth Institute of Technology	Alzheimer's disease, prediction
Georgios Marios Dimakidis	Ionian University	Bioinformatics, Data Analytics, AD
Shaodong Ding	Beihang University	domain adaptation
yuhang Ding	baidu	download and study
jie Ding	Nanjing Tech University	ADNI data
Ke Ding	东华大学	Biospecimens、MRI、PET、Genetic
Changchang Ding	Shanghai University	PET;FMRI
Chen Ding	Shenzhen Institutes of Advanced Technology Chinese Academy of Science	brain image
zichen ding	Weifang Medical University	Longitudinal data, cross-sectional data, genetic data, causal inference, machine
Xiuhua Ding	Western Kentucky University	sleep Apnea, APOE, Amyloid-beta
Yuan Ding	New York University	For Course Project
Ke Ding	东华大学	ADNI、MRI
Yanyi Ding	Carnegie Mellon University	Machine Learning
Jiayuan Ding	VMware, Inc	Machine Learnrinig
Chen Ding	Shenzhen Institutes of Advanced Technology Chinese Academy of Science	brain image
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
ALIOU DIOP	Gaston Berger University	censored data; survival analysis, functional data analysis
Tyler Diorio	Purdue University	white matter hyperintensity, periventricular, stress
Ibrahima Diouf	University of Melbourne	Alzheimer's, amyloid pathology, Tau, cell adhesion molecules
Ottavia Dipasquale	King's College London	rs-fMRI, molecular-enriched fMRI analysis, REACT
Djesse Dirckx	Radboud University	Dynamic survival analysis, machine learning, MATCH-Net, cognitive decline
Maheshi Dissanayake	University of Peradeniya	Alzheimer , MRI
sai smruthi diwakar	SASTRA UNIVERSITY	Final year project on prediction of alzheimer's
Sudhanshu Dixit	Jaypee Institute Of Information And Technology	Use ADNI dataset for College Project
anoop dixit	Collective Cure	Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec
Khethiwe Dlamini	University of the Free State	R, Python, unsupervised learning, MRI, PET, big data
anoop dobhal	PEC Deemed to be Univerisity India	DL, ML, CNN
Iwona Dobler	Takeda Pharmaceuticals International Co.	biomarker
Vitaly Dobromyslin	University of Massachussetts, Lowell	gene expression, neuroimaging
Shruti Dodani	Dwarkadas J Sanghvi College of Engineering	Deep learning; Convolutional Neural Network; Alzheimer's disease.
Chris Dodds	University of Exeter	Education
Alessandra Dodich	University of Geneva	18F-flortaucipir, positivity, tau deposition
James Doecke	CSIRO	CSF, Amyloid, PET
Elena Doering	University Hospital Cologne	education, metabolic activity, aging
Merve Yusra Dogan	Istanbul Medipol University	functional connectivity, neuropsychological test, fMRI, big data
Prashant Dogra	Houston Methodist Research Institute	Alzheimer, biomarker, modeling
Oriol Dols-Icardo	Sant Pau biomedical research institute	Genomics, MRI
Sudipto Dolui	University of Pennsylvania	Arterial Spin Labeling, Cerebral Blood Flow
Elena Dominguez	University of California, Irvine	Cingulate Cortex, Cortical Thickness, Cognition
Frank Dondelinger	Lancaster University	lasso, prediction
Huiwen Dong	Beijing Jiaotong University	precision medicine, fmri, smri, GNN, deeplearning
Qunxi Dong	Arizona State University	Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry
Jian Dong	Harvard Medical School	PET, molecular imaging, amyloid, tau, machine learning, neural network.
qian dong	chongqing university of posts and telecomunications	ADNI
Zihe Dong	IMPERIAL COLLEGE LONDON	dzh880125
YIWEN DONG	UCSF	building database
liang dong	bupt	123456
liang dong	bupt	AD
Fan Dong	Indoc Research	data platform, imaging processing, neuroinformatics
Qunxi Dong	Beijing Institute of Technology	Alzheimer's disease, MRI, Morphometry, Biomarkers.
Zihe Dong	Beijing University Of Aeronautics And Astronautics	dzh880125
wang dong	Shandong Normal University	radiomics
Ning Dong	TEXAS tech university	Alzheimer's Disease, Mild Cognitive Impairment, Machine Learning
shuai dong	Northeastern University	MRI depression
Wei Dong	China National Clinical Research Center for Neurological Diseases	AD, genetics, autophagy, biomarkers, clinical characteristics
JANG DONGGON	KAIST	Deeplearning
kim donghyeon	gist	what_this_mean
Luo Dongxia	Sichuan University	19950913
Anita Donnelly	Ulster university	Machine Learning, Data Modelling
Michael Donohue	Keck School of Medicine of USC	ADCS
Mariya Donskova	Moscow Institute of Physics and Technology and Skolkovo institute of science and	Disease Knowledge Transfer, Neurodegenerative Diseases
Sai Narsi Reddy Donthi Reddy	Individual	computer vision, machine leanring
Sai Narsi Reddy Donthi Reddy	Individual/ Researcher	computer vision, machine leanring, Deep Learning
Aram Donyaee	Islamic Azad University	machine learning, deep learning, statistical analysis, early detection, blood
elahe dorani	Institute for Advanced Studies in Basic Sciences (IASBS)	Probabilistic models, Bayesian inference, Alzheimer's disease, ADNI dataset
Zolnamar Dorjsembe	National Taiwan University of Science and Technology	deface, de-identification of MRI images
Fernanda Caroline Dos Santos	Centre for Addiction and Mental Health	Alzheimer's disease; Depression; Mild cognitive impairment; neuroimaging; PRS
Jonadab dos Santos Silva	Universidade Federal Fluminense	structural MRI, genomics, neurodegeneration
Ayush Doshi	University of Virginia	Spherical deconvolution, 3-tissue extraction, Deep learning
Kaixin Dou	Affiliated hospital of Qingdao University	AD; risk models; predictors
Kaixin Dou	Affiliated hospital of Qingdao University	Alzheimer's disease; GWAS; biomarker
Kaixin Dou	Affiliated hospital of Qingdao University	AD; risk models; predictors
Kaixin Dou	Affiliated hospital of Qingdao University	AD; risk models; predictors
Gaelle Doucet	Icahn School of Medicine At Mount Sinai	resting-state networks, brain atlas, aging
Guilherme Dourado Santos	Universidade de São Paulo	Machine Learning, USP, SSL
N. Maritza Dowling	University of Wisconsin-Madison	Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Mary Dowling	New York Oncology Hematology	ANDI3
Senan Doyle	Pixyl	PET, MRI, AI, Deep Learning
Sorin Draghici	Advaita	meta-analysis, data integration, subtype discovery
Andrei Dragomir	Politehnica Bucharest University	Ask and I can provide further details
Daniel Drake	University of Michigan	biomarkers biostatistics progression
Derek Drake	Harvard University	AD
Jonathan Drake	Alpert Medicial School of Brown University	VCAM-1, vascular risk factors
Amil Dravid	Northwestern University	Machine Learning, Computer Vision
Erin Drazich	University of Sussex	DTI, MCI, AD
Eduard Drima	Universitatea Dunărea de Jos, Galați, Romania, UE	mTBI, mild cognitive impairment
Alexandre Drouin	ServiceNow / Université Laval	machine learning, causal discovery, causality
Jason Druzgal	University of Virginia	Basal forebrain; cognitive impairment; VBM
Polina Druzhinina	Skoltech	3D CNN, classification
NANDANU DS	COLLEGE OF ENGINEERING TRIVANDRUM	EARLY DIAGNOSIS OF AD USING NEURO IMAGING DATA
Lei Du	Northwestern Polytechnical University	Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Shiyi Du	四川大学	student research Alzheimer
mingyu du	Beihang University	912811450
Chaoyu Du	Wuhan university of Science and Technology	brain funtional networks, connection densities
YU DU	Faculty of Science and Technology, University of Macau	Alzheimer's disease, deep learning, segmentation
Qianqian Du	Taiyuan University of Technology	pet image reconstruction
yongqi du	Huazhong University of Science and Technology	deeplearning classification fMRI
Shiyi Du	Sichuan University	Alzheimer,TADPOLE,student research,anomaly detection
Yuhui Du	The Mind Research Network; Shanxi University	Biomarkers, Classification, Clustering
Xiuxia Du	UNC-Charlotte	batch effect correction
Averil DU	ShanXi Medical University	Aa123456
Xiuli Du	Nanjing Normal University	Functional data analysis, Missing data
Guangwei Du	Penn State Hershey Medical Center	TBM, neurodegenerative disease pattern
Zhichao Duan	Tsinghua University	Machine learning
Kaue Duarte	University of Campinas	alzheimers, artificial intelligence, image retrieval
Paromita Dubey	UC Davis	networks
florian dubost	Erasmus MC	enlarged perivascular spaces, deep learning, neural networks
Marie Duc	Tuebingen University Hospital	explainable AI in brain
Simon Duchesne	True Positive Medical Devices Inc.	Biomarkers; Volumetry; Normative data
Simon Duchesne	Université Laval	MRI, phenotypes, cortical thickness, genotype
Shruti Santosh Dudwadkar	The University of Sheffield	Alzheimer's diagnosis, Deep Polynomial Network
Kevin Duff	University of Utah	biological samples
Ben Duffy	USC	QC
Maya Duffy	University of South Carolina	Project, Statistics
Benoit Dufumier	Université Paris-Saclay	PhD project, Transfer Learning in NeuroImaging, MICCAI 2021
Adam Dugan	University of Kentucky	statistics; Alzheimer's disease; CSF
Brittany Dugger	UC-Davis	Neuropathology, Heterogeneity, concomitant pathology
Juergen Dukart	Hoffmann-La Roche	PET MRI biomarkers diagnostic models
Adrienne Dula	Dell Medical School at the University of Texas Austin	Alzheimer’s disease, cerebrovascular flow, sex
Maciej Dulewicz	Medical University of Białystok, Poland	AD
AMAR DUM	Shivaji University, Maharashtra (India)	Alzheimer's Disease, MRI, PET, Early Diagnosis
Felix Dumais	Université de Sherbrooke	AI, arteries, vascular
Julie Dumas	University of Vermont	tau, csf, hippocampus, biomarkers, MCI
Logan Dumitrescu	Vanderbilt University Medical Center	Alzheimer's, genetics
Mihai Dumitrescu	University Politehnica of Bucharest	Homework
Matthieu Dumont	Imeka	DWI DTI HARDI Tracking
Julien Dumurgier	Université de Paris	CSF biomarkers ; cut-offs
Julien Dumurgier	Lariboisiere Fernand Widal Hospital	APOE, AD, CSF biomarkers
Tora Dunås	University of Gothenburg	Biomarker statistics workshop
Katherine Duncan	University of Toronto	Acetylcholine, Dopamine, Norepinephrine, Memory, Cognition
Chase Duncan	UIUC	biomedical image segmentation; machine learning; hippocampus segmentation
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
Natalie Dunn	Prisma Health; SNIRP	Anxiety
Michael Duong	University of Pennsylvania	Alzheimer disease, AT(N), PET, neuroimaging
Patrick Dupont	KU Leuven	graph; rs-fMRI; cognition
Tom Dupree	Springboard	Machine learning, data analysis, predictive classification model
Saranya Duraisamy	Biogen	research & development, data analysis
Bedria Durdana	BRAC University	Alzheimers, ND, MRI
Emre Durmaz	TOBB ETU	alzheimer, image processing, brain image, mri , bt
Oscar Durón	UNAM	school, project
Goktekin Durusoy	Bogazici University	Graph analysis, tensor decompositions,Connectome
ARIDEEP DUTTA	Jabalpur Engineering College	AD-alzheimer's diseases
Anirban Dutta	University at Buffalo SUNY	Non-invasive brain stimulation
Chiranjit Dutta	University of Connecticut	Longitudinal data analysis
Joyita Dutta	UMass Lowell / MGH	Data science, machine learning
Shamita Dutta gupta	Pace U	Ordinal logit model, general linear model
Jeff Duyn	NIH	fMRI global signal
Jeff Duyn	NIH	fMRI global signal
Shubham Dwivedi	National Institute of Technology Silchar	Alzheimer, Brain, Daignosis
Madhukar Dwivedi	International Institute of Information Technology, Hyderabad	Alzheimer disease, MCI,
Alok Dwivedi	Texas Tech University Health Sciences Center El Paso	Amyloid positive, MRI, CSF biomarkers, ABETA42
Jonathan Dyke	Weill Cornell Medicine	cortical thickness
Martin Dyrba	German Center for Neurodegenerative Diseases (DZNE)	probabilistic models, multimodal analysis, machine learning, Markov random field
Witold Dyrka	Wroclaw University of Science and Technology	MRI, PET, computer-aided analysis, image segmentation, neural network, python
Szymon Dziewic	AGH	MRI image analysis, neural network
Georgina Earle	University of Birmingham	Alzheimer's Disease, deep learning, imaging
Thomas Earnest	Washington University	Alzheimer's, machine learning, data science
Mark Ebbert	Mayo Clinic	Challenging regions
Esraa Ebrahem	Higher technological institute	AD
Doaa Ebrahiem	Mansoura University	alzheimer
Amir Ebrahimighahnavieh	University of Newcastle	Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Holly Echlin	York University	sub-concussive, mild traumatic brain injury, aging, neuroimaging
Christopher Edgar	Cogstate	cognition, at-home, feasibility, validity, reliability
Paul Edison	Imperial College London	tau amyloid cardiovascular risk
Emily Edmonds	University of California, San Diego	Mild cognitive impairment; Neuropsychology
ANTOINE D EDOUARD	Harvard University	MCY&ALzheimer
Natalie Edwards	Massachusetts General Hospital	sex, tau, flortaucipir, positron emission tomography, longitudinal
Amr Eed	Instituto de neurociencias de alicante	Machine Learning, multi-shell models
Efe Dogukan Efeoglu	Middle East Technical University	mathematical statistics, image processing, neuroscience
Marco Egle	University of Cambridge	Small vessel disease Diffusion tensor imaging clinical trials
sina ehsani	mashhad university of medical science	dti
hosein ehsanmanesh	ferdowsi university	Alzheimer’s Disease Neuroimaging Initiative database
Eyþór Einarsson	Haskoli Islands	Deep Learning, Brain Age, Machine Learning, MRI
Gillian Einstein	University of Toronto	Surgical menopause; oxidative stress; cognitive decline; neurodegeneration
Lina Eisenberg	Hebrew University Jerusalem	cholinergic signaling, cortical thickness, cholinergic miR-SNPs
Noushin Ejtehadi	Iran University of Science and Technology	DTI
Putu Ayuwidia Ekaputri	University of Skövde	FDG PET, MRI, atrophy, hypometabolism
Laura Ekblad	Amsterdam UMC	CSF, proteomics, atrophy, cortical thickness, MCI, Alzheimer
Chima Eke	University of Plymouth	Biomarkers, data analysis, machine learning, deep learning
ferhat ekin	ankara yıldırım beyazıt university	stalker
Tawatchai Ekjeen	Faculty of Medical Technology	Maching Learning, PET, Alzheimer's Disease
Anders Eklund	Linköping university	Deep learning, multi modality, fMRI, dMRI, convolutional neural network
Nsisong Ekong	RITMAN UNIVERSITY, IKOT EKPENE, AKWA IBOM STATE	ALZHEIMER'S DISEASE, CLINICAL TRIALS, STOCHASTIC ANALYSIS
Ender Eksioglu	Istanbul Technical University	MR reconstruction, undersampled k-space data, sparsity based MR reconstruction
Karen El Akoury	Holy spirit university of kaslik	Alzheimer,EEG,Music Treatment
Omar El Rifai	-	CLINICA
Retta El Sayed	Emory University	Medical imaging processing
Shaker El-Sappagh	Inha University	Deep learning, machine learning, progression detection
fanny elahi	UCSF	Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
vidhya elango	periyar university	cryptography
Ghaidaa Eldeeb	faculty of engineering cairo univeristy	DTI
elfazziki elfazziki	Marrakech university, computer science department	alzheimer, diagnosis, machine learning
m elgeneedy	mansoura university	كل اسبوع يوم جمعه
Martin Elias Costa	Entelai	Brain atrophy, aging, MRI,
Ahmed Elkorany	faculty of electronic engineering, menoufia university	deeplinearning; classification, MRI
Nandhini Ellappan	MGR University	Dashboard
Lotta Ellingsen	University of Iceland	segmentation, deep learning, brainstem, white matter hyperintensities, dementia
Maxwell Elliott	Duke University	Aging, methylation, ADRD, neurodegeneration
Ryan Ellis	NCIRE	arterial spin labeling, ASL
Natalie Ellison	Pentara Corporation	Composites Genetics
Intissam Elmajid	Ibn Zohr	AD recognation, AD, MCI, NC
Jeremy Elman	UCSD	Pupillometry, aging, dementia
Ani Eloyan	Brown University	clinical domain, machine learning, deep learning
Nahla Elsaid	Yale University	FSE, Proton density
fares elsalamony	The British University in Egypt	brain tumor, brain cancer, alzheimer's disease
ahmed elsayad	Mansoura University	big data, big data analysis , big data processing
Daiaa elsayed	Mansoura university	Machine learning mri scans
Zeinab Elsharkawy	Atomic Energy Authority	Deep learning; image analysis; classification
Nada Elsokkary	Khalifa University of Science and Technology	AD diagnosis, deep learning, textural analysis
Mohamed Eltaeb	NYU	machine learning
Goutham Elumalai	SRM IST	MRI
Rommy Elyan	Penn State College of Medicine	ADNI, knn
Rokaya Elziady	GUC	ML,AI
Maryam Emamidoost	Ryerson University	Alzheimer's Disease, segmentations, MRI
Patrick Emedom-Nnamdi	Harvard University	Alzheimer, machine learning
Polina Emeliyanova	The University of Manchester	White matter, grey matter
Okyaz Eminaga	Stanford University	DL, Classifcaiton
Bolade Emmanuel	University of ILorin	Alzheimer
Mohammad A E K Emon	Janssen Pharmaceutica	GWAS, MR
Daiki Endo	Tohoku University	Convolutional Neural Network, Computer aided diagnosis
HIRONOBU ENDO	Johns Hopkins University	MRI cloud
Chloe Eng	UCSF	psychometrics; cognition; epidemiology
JAKELINI ENGEL	Unoesc	Alzheimer
Jakelini Engel	UNOESC	Alzheimer diagnosis
Corinne Engelman	University of Wisconsin-Madison	polygenic score, sequencing, rare variants
Bradley English	Fraunhofer Institute	Early-warning
Andreas Engvig	Oslo University Hospital	Frailty, subject clustering, estimated glomerular filtrator rate (eGFR)
Jinseok Eo	Yonsei University	Dynamic Causal Modeling, Effective connectivity
Gina Eom	Centre for Addiction and Mental Health	cognition, function, clinical scores
Joel Eppig	SDSU/UCSD Joint Doctoral Program in Clinical Psychology	MCI, Latent Variable Modeling
Noam Epstein	University of Illinois at Chicago	Pharmacoepidemiology
Sophia Epstein	Claremont McKenna College	classifier and diagnostic
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
Emrullah ERGUN	Universitad Politecnica de Madrid	Crow-search algorithm, Machine Learning, random forest
Elena Erosheva	University of Washington	Longitudinal, hierarchical, mixed effects
Asier Erramuzpe	Mondragon Unibertsitatea	AD structure function preprocessing MRI
Ersin ERSÖZLÜ	University of Munich (LMU)	cognitive reserve, alzheimer disease
Naga Akhil ES	PES University	Alzheimer's Disease
Sara Esam	Institute of Statistical Studies and research	Alzheimer’s Disease
Sara Esam	Institute of Statistical Studies and research	Alzheimer’s Disease
Alba Laura Escarcega	UPIITA-IPN	CNN, ML, AI
Daniel Antonio EscobarGarcía	Guadalajara University	graph neural networks
Valentina Escott-Price	Cardiff University	machine learning, prediction, cognitive decline
Javier Escudero	University of Edinburgh	Machine learning, Decision support, biomarkers
Lorena Escudero	University of Cambridge	TADPOLE
Mehmet Bilgin Eser	Istanbul Medeniyet University	Brain, Magnetic Resonance imaging
Marziye Eshghi	MGHIHP	structural imaging, cortical thickness, speech motor regions
Parya Eskandari	gilan	2314
Mary Eskander	Banha	Machine learning
Simon Eskildsen	Aalborg University	cortical thickness, brain mapping, segmentation
Taban Eslami	Western Michigan University	Alzheimer's, classification, Machine Learning
Soheil Esmaeilzadeh	Stanford University	deep learning course, Stanford university, class project
Alberto Espay	University of Cincinnati	Amyloid, soluble Abeta42
Érika Espindola	IESB	Machine learning, Alzheimer, Classification
Ana Espinosa	Fundació ACE	Cognition,
Mar Estarellas Garcia	University College London	Alzheimer, data-driven model, lifestyle
Antonio Esteves	Universidade do Minho	Alzheimer disease, deep neural network, deep learning
K.Emily Esther Rani	Anna University	rs-fMRI, Alzhemer Disease
Carlos Estrada Marmolejo	Universidad de Guadalajara	CNN, FrFT, Image recognitizion
Pierre Etienne	ActuReal Services and Consulting Pvt.Ltd.	Converson to MCI
Kobra Etminani	halmstad university	Skull stripping ,prognosis of AD and Dementia
Park Eui-In	Hanyang Unicersity	AI, Alzheimer's Disease
woohyun Eum	Konkuk university	QC case control
Diana Evangelista	Ardsley High School	deep learning; neural network; ROC; AUC; Adam; t-SNE; Alzheimers;
Nicole Evangelista	University of Florida	working memory, magnetic resonance imaging
Diana Evangelista	Ardsley High School	deep learning; neural networks; Alzheimer's; ROC; Python
Dave Evenden	Southampton Universiry	Dementia, Disease Modelling, Healthcare Planning
Dyachkov Evgeny	MIPT	Convolutional Neural Networks
Arnold Evia Jr.	Rush University Medical Center	amyloid, tau, PET, correlation
Katrina Evtimova	NYU	neuroimaging analysis
Michael Ewers	LMU	amyloid, genetics
Georgios Exarchakis	Institut de la Vision, CNRS, Sorbonne University	Scattering Transforms, Machine Learning
Soufiane Ezzaim	Mohammed V University	CNN, supervised learning
Ali Ezzati	Albert Einstein College of Medicine	Volumetric, MRI, Amyloid, cognitive decline
JISNA F	UNIVERSITY OF KERALA	Convolutional Neural Network
NICY F	THANGAL KUNJU COLLEGE OF ENGINEERING	Alzheimer’s disease (AD) · Mild cognitive impairment (MCI) · Feature selection ·
Sa Faber	Rotman Research Institute	MCA
Nirosha Fad	Kannur University	Preclinical AD
Ghadah Fadhl	Sana'a university	Alzhiemer’s disease (AD), Convolutional neural network (CNN) , Deep neural netwo
Shreyas Fadnavis	Indiana University Bloomington	DWI, Machine Learning
Shahriar Faghani	Tehran university of Medical science	MCI-CN-fMRI-Machine learning-Deep learning
Rachid Fahmi	Siemens Healthcare	AD, PET, FDG, MRI, Amyloid
Ryan Fairchild	University of Maine	Tracking, atrophy
Muhammad Faisal	King Fahd University	Tadpole Challenge Data
Fazal Ur Rehman Faisal	Chosun University	Medical Image Processing
Maryam Faisal	KFUPM	: Machine learning, Alzheimer's disease (AD), PET, MRI
Abrar Faiyaz	University of Rochester	NODDI DLpN
Faruk Fakih Safadi	The University of Manchester	Machine learning, deep learning, AD, university, research, computer vision
Tiago Falk	INRS	AI, multimodal, signal processing
Ariana Familiar	CHOP	multimodal, imaging, molecular
ZHEN FAN	Imperial College London	Longitudinal amyloid tau
Peihao Fan	University of Pittsburgh	Alzheimer's Disease; Machine learning; Biomarker;
Jianan Fan	Huazhong University of Science and Technology	neuroimage, computer vision, pattern recognition
Xiaoguang Fan	Tianjin Medical University General Hospital	structural and functional network, nerual plasticity
CHENCHEN FAN	Institute of Automation，Chinese Academy of Sciences	machine learning
zhihao fan	华南理工大学	Thanks
Yang Fan	Peking University	AD, ASL, CBF
Ziqi Fan	China	neuroinflammation AD beta amyloid
Xiang Fan	The Chinese University of Hong Kong	biomarker
Yong Fan	University of Pennsylvania	Pattern recognition; Machine Learning, Multi-site data
Wenliang Fan	Union Hospital, Huazhong University of Science and Technology	Alzheimer’s disease; Longitudinal change; Evolving pattern; FC
Corry Fan	chongqing University of Posts and Telecommunications	AUGgac394
Lei Fan	Vanderbilt University Medical Center	Alzheimer's disease; imidazole propionate
Yonghui Fan	Arizona State University	ADNI2-GO MRI data
Chong Yuan Fan	National Chiao Tung University	MRI
weina fan	Qufu Normal University	research
Zengyan Fan	Singapore University of Social Sciences	network analysis, statistical inference
Shawn Fan	Rice University	TADPOLE
Ke Fan	China	eeg
xuwei fan	Southwest Minzu University	deep learning、mental illnesses、fmri、Pathological analysis
Di Fan	USC	DTI
Kathy Fan	Stanford	visualization, CNN, interpretability
NING FAN	Guangdong Medical University	681015
Geng Fan	University of Electronic science of technology of China	HDAC2
方丹丹 Fang	南通大学附属医院	-
Yuxing Fang	McMaster University	Alzheimer, ANN, 3D
Chen Fang	Florida International University	Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
SHENGLEI FANG	Cardiff University	Alzheimer, PET
Yan Fang	Shanghai University of International Business and Economics	7Yiffany
Yu-Hua Fang	University of Alabama at Birmingham	PET. Image Processing
Frank Fang	Eisai	Machine Learning
Yi Fang	Zhejiang University	Perivascular space
Yifan Fang	Zhongnan hospital	white matter lesions; hippocampus; basal forebrain; cholinergic system; AChE
Lei Fang	University of Kentucky	functional joint model
Yi Fang	Zhejiang University	cardiovascular disease
Chen Fang	Tongji Univercity	1204061993cx
Feng Fang	University of Houston	Connectivity, fMRI, dTI, AD
Ruogu Fang	University of Florida	Alzheimer's Disease, cerebral perfusion, machine learning
Unyakorn Fangyong	Chulalongkorn University	stat
zhang fangyuan	school	deep lerning CNN
Félix Fanjul-Vélez	University of Cantabria	Alzheimer, dementia, image analysis
LI FANSHI	XIANGTAN UNIVERSITY	MRI,CLINICAL
Sinan Faouri	Applied science private university	Deep learning MRI Alzheimer's disease
Mohammad Farazi	Arizona State University	3D mesh, ADNI, classification
David Fardo	University of Kentucky	Pathway-wide association, AD
Gonzalo Farías	Universidad de Chile	synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Aamir Farooq	techtip	covid in adni
fayroz farouk	electronics research inistitute	APOE, multistate markov model
Mohamed Farrag	Mohamed Farrag	Dementia AD FTD
Danielle Farrar	University of New Mexico	fMRI, MCI, executive function, dementia
John Farrell	Boston University Medical School	whole_genome_sequencing genetics imputation structural_variants
Kurt Farrell	Icahn School of Medicine at Mount Sinai	Primary age-related tauopathy
Madeline Farron	University of Michigan Medicine	Neuroimaging, Alzheimer's Disease
maedeh fasihi	ucf	machine learning, classification, pattern recognition
Ashkan Fatemi	mashhad university of medical science	dementia, metabolomics
Karma Fathalla	Arab Academy for Science and Technology	Dementia, Alzheimer, Machine learning, deep learning
Mobina Fathi	Shahid Beheshti university of medical science	Alzheimer
Sina Fathi	Iran university of medical sciences	CDSS, Alzheimer's disease, deep learning
Ali Fathi Jouzdani	Hamadan University of Medical Sciences	PET lifestyle APOE-e4 Genes
Alireza Fathian	Tarbiat Modares University	Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network,
Misba Firdose Fathima	Dayananda Sagar Academy Of Technology and Management	Alzheimer’s disease, Convolutional Neural Network (CNN), MRI
ZAHINA FATHIMA A	MADRAS CHRISTIAN COLLEGE	GRAPH ENERGY, SPECTRAL GRAPH THOERY,ALZHEIMER'S DISEASE
S.MohammadAmin Fathollahi	Tehran University of Medical Sciences	Alzheimer's disease - Artificial intelligence - Deep learning - genetics - age
Manaal Fatima	Pakistan Institute of Engineering and Applied Sciences	Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Morteza Fattahi	Tehran	white noise-based, recurrent neural network, Alzheimer
Oliver Faust	Sheffield Hallam University	cerebral microbleeds, artificial intelligence, heatmaps
Eugenio Fava	DZNE	inflammation, AD, MCI
boudaoud fayçal	enset	ad;mci;alzheimer;detect deases alzheimer
Hamed Fazel	Sadjad University of Technology	MRI, Deep Learning, ADNI
Marcelo Febo	University of Florida College of Medicine	fMRI, connectome, networks, neural nets
Alex Fedorov	Georgia Institute of Technology	self-supervised learning, multi-modal, deep learning
Jana Fehr	Hasso-Plattner-Institute	Causal Inference, Transportability
liu fei	Tianjin University	r-fmri functional connectivity network machine learning
jia feimao	seu	Disease Analysis
Franklin Feingold	Stanford University	BIDS
Amirhossein Feizi	Semnan University	learning, research design, studying
Tony Felefly	Saint Joseph University	Radiomics, Machine Learning
Robert Fellows	VA San Diego Healthcare System	cognition, everyday functioning, white matter hyperintensity, CSF, tau
Daniel Felsky	Centre for Addiction and Mental Health	microglia, polygenic risk, imaging, environmental modifiers
Grazia Daniela Femminella	Imperial College London	inflammation; atrophy; AD; MCI
Grazia Daniela Femminella	University of Naples Federico II	Alzheimer's disease; atrial fibrillation
Luo Fen	South Central University For Nationalities	GAN; MRI
Alan Fendrich	Penn State College of Medicine	learning to preprocess PET data
gu feng	Chinese Academy of Sciences	gufeng11
HONGBO FENG	First Affiliated Hospital of Dalian Medical university	aging
Zhichao Feng	The Third Xiangya Hospital of Central South University	fzc2018xyyx
Xinyang Feng	Columbia University	AD imaging biomarker
Jinwang Feng	Northwestern Polytechnical University	Alzheimer's disease, Feature extraction, Classification
Tingsheng Feng	Beijing University of Aeronautics and Astronautics	197234tL
Yang Feng	New York University	Alzheimer’s disease, multiclass classification, prioritized error controls
qingshuang feng	Beijing Normal University	machine learning, classification
Lunlun Feng	the First Affiliated Hospital of China Medical University	Multimodal
Xue Feng	University of Virginia	Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers
xin feng	orhers	research
Xinyuan Feng	Shanghai University of Finance and Economics	course final proje
hao feng	东北大学	fmri
Pan Fengfeng	Shanghai Jiao Tong University Affiliated Sixth People	Alzheimer's
Christine Fennema-Notestine	UCSD	MRI, thickness, morphometry, shape analysis, PET
Aasa Feragen	Technical University of Denmark	Computer aided diagnosis, bias/fairness, demographic groups
Lavinia Ferariu	Gheorghe Asachi technizal University of Iasi, Romania	Classification
Cameron Ferguson	Cardiff University	Network Psychometrics; Complex Systems; Modelling; Neuropsychology; Neurocogniti
Marco Fernandes	University of Oxford	metabolomics, machine learning, network analysis, psychiatric disorders
Alberto Fernández	Universidad Complutense de Madrid, Spain	APOE4, Amyloidosis, cognitive performace
Isabel Fernandez	Universitat Oberta Catalunya	Early diagnosis
Javier Fernandez	Cross Labs	MRI, illiterate, educated
MIGUEL ANGEL Fernandez	University of Cadiz	PET, image, machine learning
Álvaro Fernández Calleja	Universidad Politecnica de Madrid	Alzheimer, longitudinal analysis, MRI
Juan Luis Fernández Martínez	University Of Oviedo	machine learning, compressed sensing, AD
Sara Fernandez Rodriguez-Cabello	University of Salzburg	aging, longitudinal, WMH, AD
Pablo Fernández-López	University of Las Palmas de Gran Canaria	ANN, forecasting, prediction
Italo Alberto Ferrante	University Federico II	neural network; deep learning; artificial intelligence
Federico Ferrari	Duke University	Cox Model, Interaction Estimation
João Pedro Ferrari Souza	Universidade Federal do Rio Grande do Sul (UFRGS)	Alzheimer's disease; neuroimaging biomarkers; fluid biomarkers; cognition;
Hugo Ferreira	Faculty of Sciences of the University of Lisbon	Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Sara Ferreira	Univerdade de Coimbra	cognitive decline; aging; computational model
Bianca Ferreira	ISEP	Alzheimer's Disease, FDG-PET, Neural Networks
Camille FERRERO	CSIRO	MRI images
Jennifer Fey (Erway)	Wake Forest University	machine learning, optimization, quasi-Newton methods
achraf feydi	National institute of applied science and technology	Machine learning , diagnose
Lobna FEZAI	Univeristé de Poitiers	Deep learning, medical imaging, classification
Milan Fiala	UCLA	FDG scan, MRI, MMSE
Eleonora Ficiarà	University of Torino	Iron, MRI, Mild Cognitive Impairment, Alzheimer's Disease
Mark Fiecas	University of Minnesota	fMRI, connectivity, longitudinal
Matteo Figini	University College London	resolution, machine learning, image quality transfer
Briana Figueroa	PACE university	Image Recognition Project
Michal Figurski	University of Pennsylvannia	UPenn, Leslie Shaw
Laura Filippi	IRCSS San Martino Hospital	Amyloid uptake in AD
muco findik	Malmö	Artificial Intelligence, Machine Learning, EEG data
Elizabeth Finger	University of Western Ontario	NPI, MRI, PET
Evan Finkel	Georgia Institute of Technology	Alzheimer's, Machine Learning
Alan Finkelstein	University of Rochester	Machine Learning, DIPY, tractography
Robert Finnegan	University of Sydney	Image enhancement, PET/MR, deep learning
Michael Firbank	Newcastle University	Dementia
aku fire	FuZhou University	machine learning
Alfandi Firnando	Universitas Sultan Syarif Kasim Riau	alzheimer's
Florian Fischer	Universtiy Medical Center Mainz	Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Clara Fischer	Neurospin, CEA	brain atrophy
Tim Fish	Changan University	image analysis
Sam Fisher	Medical and signal Processing Center	Resting state-brain connectivity-alzheimer disease-functional imaging-Neuroimagi
Liam Fisher	Houghton College	Data, Analysis
Terrence Fisher	Vaccinex, Inc.	pepinemab, SEMA4D, FDG-PET
Madalina Fiterau	University of Massachusetts Amherst	Alzheimer’s disease; trajectory modeling; medical imaging; multimodal fusion; de
Gregory Fitzgerald	State University of New York at Albany	"mild cognitive impairment", "reversion", "dementia"
Lúcio Flávio de Jesus Silva	State University of Maranhão	Alzheimer, ANN, fMRI, Deep Learing
Christopher Fleetwood	University Of East Anglia	Alzheimers, Deep Learning, CNN, GCNN
Ben Fleming	University of Birmingham	Convolutional Neural Network, Multi-Class Classification, Reccommendation
Alexandru Floares	Solutions of Artificial Intelligence Applications	Artificial Intelligence, Alzheimer's disease, clinical, genomic, imaging, data
Shaney Flores	Washington University in St. Louis	DIAN, harmonization, WUSTL
Carlos Flores	UNAM	brain, unam, inb
keyla flores	MBIT SCHOOL BUSINESS DATA INTELLIGENCE	ALZHEIMER
Guadalupe Flores Islas	Instituto Politécnico Nacional	Alzheimer classification
Niels Focke	University of Göttingen	FDG-PET, Epilepsy
Nancy Foldi	Queens College - City University of New York	MTL, HIppocampus, serial position effect
Guilherme Fôlego	Universidade Estadual de Campinas	AD, ML
Jarrad Foley	University of Leciester	Alzheimers, brain scan
Jonas Folke	Bispebjerg Hospital, University Hospital of Copenhagen	Alzheimer's disease, B cells, Immunological memory
Lukas Folle	Friedrich-Alexander Universtät Erlangen-Nürnberg	Deep Learning, MRI, Super Resolution
Manson Cheuk-Man Fong	The Hong Kong Polytechnic University	Aging, brain age
Bernard Fongang	UT Health San Antonio	Dementia, Vascular dementia, Gene expression, MRI markers
Vladimir Fonov	McGill University	de-identification
Joana Fonseca	FEUP	ML
Fabian Humberto Fonseca Aponte	Sapienza Università di Roma	Adversarial learning, auto-context model, MRI, image synthesis
Alfred Fonteh	Huntington Medical Research Institute	Amyloid, tau, PET, metabolites, glutamate, lipids, omega-fatty acids
WEI JIAN FOONG	UNIVERSITY MALAYSIA PERLIS	ALZHEIMER'S DISEASE, PREDICTION, BIOMARKERS, GENOMIC, NEUROIMAGING
Jamie Ford	Imperial College London	Functional connectivity, resting-state fMRI, structural MRI, amyloid
Tamar Foreman	Monash University	Alzheimer's Disease, Intrinsic Neural Timescale, fMRI, neurodynamics
Cynthia Forgeron	St. Francis Xavier University	Dementia, Alzheimers, machine, learning
Myriam Fornage	University of Texas Health Science Center at Houston	Small Vessel Disease; brain MRI; white matter hyperintensity
Alex Förster	Universitätsmedizin Mannheim	AD, crossed cerebellar diaschisis
Adam Forys	Roche	ADNI, Roche, dashboards
Chris Foster	UT Dallas \| Center for Vital Longevity	Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Panagiotis Fotiadis	Massachusetts General Hospital	atrophy; cerebral amyloid angiopathy; alzheimer's disease
saman fouladi	tmu	y
Gregory Founshtein	The hebrew University and the Hadassah Ein Kerem medical center	Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Michael Fox	Harvard	atrophy
Lydia Fozo	APL	Connectome, Biomarkers
Ernest Fraenkel	MIT	machine learning, AI
Ambily Francis	Karunya	AD,CN,MCIc,MCInc
Fabio Frangiamore	university of Milan Bicocca	Alzheimer, CNN, deep learning
Eric Frankel	Stanford University	neuroimaging, gene expression, autism spectrum disorder, protein interaction
Dave Frankowski	NIH	ADRD, biomarker, neuropathology, cognition, aging
Mark Fraser	Australian National University	harmonized Hippocampal protocol, manual segmentation
Dana Fraser	GlaxoSmithKline	Alzheimer Disease progression CSF
Mark Frasier	Michael J Fox Foundation	CSF, biomarkers, neurodegeneration
Simona Fratus	University of Brescia	deep learning, neural network
Blaise Frederick	McLean Hospital/Harvard Medical School	resting state, perfusion,
Amy Fredrickson	Cogstate	Data Deliverable
Leon French	Centre for Addiction and Mental Health	gene expression
Jennifer French	University of Maryland	GWAS
Simon Frerich	LMU Munich	genetics of AD
Simon Frerich	Karolinska Institute	Subtyping
Yun Freudenberg-Hua	Feinstein Institutes for Medical Research	dementia genetics Alzheimer association variants
Brad Friedman	Genentech, Inc.	bioinformatics genetics
nadav friedmann	cassavasciences	decline over time
Christoph M. Friedrich	University of Applied Science and Arts Dortmund	SNP subset selection
Lars Frings	University of Freiburg	PET; Amyloid; FDG; Medial Temporal Lobe
Hans-Christian Fritz	German Center for Neurodegenerative Disease	basal forebrain, functional connectivity
Vincent Frouin	CEA	imaging-gentics; vcf genetics
Yunguan Fu	University College London	deep learning, registration
Kai Fu	Northwest A&F University	machine learning
jeffson fu	Chongqing University of Posts and Telecommunications	image
Ray Fu	BIT	data analysis
lingling fu	south-central university	research
Zening Fu	Georgia State University	Multi-diseases biomarkers, data-fusion, dynamic brain connectivity
yanv fu	The Affiliated Second Hospital of Zhejiang University of Medicine	Alzheimer's disease
Jingru Fu	KTH	medical image registration
xiaoyi fu	Institution	analysis
Pan Fu	Taizhou First People’s Hospital	Alzheimer's disease, synaptic degeneration, clusterin
Annalena Fuchs	University Hospital Aachen	FDG PET, dementia, metabolism
Nicolás Fuentes	Universidad Nacional de Córdoba	atlas, radiotracer, Alzheimer
Niccolo Fuin	Ixico	structural MRI, dMRI, ASL, fMRI
Motonobu Fujishima	National Center of Neurology and Psychiatry	differential diagnosis; Alzheimer's disease; FDG-PET; MRI
Fabian Fullone	Universidad Argentina de la Empresa	data
Lawrence Fulton	Texas State University	machine learning
Brian Fulton-Howard	Icahn School of Medicine at Mount Sinai	PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS
Carrson Fung	National Yang Ming Chiao Tung University	online graph learning, graph signal processing, brain connectivity
Ernest Fung	Cogstate	Alzheimer's disease, clinical trials, CNS drugs
Cory Funk	Institute for Systems Biology	metabolism, immune, transcription factor, gene expression
Quentin Funk	Houston Methodist Research Institute	Tau, fMRI, graph theory, DTI
Cory Funk	Institute for Systems Biology	Alzheimer RNA-seq WGS
Ansgar Furst	Stanford University	Alzheimers, TBI, Veterans
Pedro Furtado	Universidade de Coimbra	medical imaging
Elies Fuster-Garcia	Oslo University Hospital	Deep learning, data fusion, diagnostic
MALAVIKA G	kumaraguru college of technology	disease, machine learning, data science
Janakasudha G	Sri Venkateswara College of Engineering	Alzheimer's Disease, Brain image analysis, machine learning and deep learning
Renith G	SRM University	Alzheimer Disease
NAGARJUNA REDDY G	NBKR INSTITUTE OF SCIENCE & TECHNOLOGY, VIDYANAGAR	Alzheimers
Dileep Kumar G	Sudiksha Analytics	ADNI, Research, Study
Sophi Shilpa G	NTU	Alzheimer’s Disease
jayavel G	anna university	alzheimer desease
Aishvarya G	PSG College of Technology	AlexNet,CNN
Ali G. Tabrizi	University of Tabriz	Algorithm , neuron, modeling ,treatment
Man Ga	IMM	4327050Ho
Musa Gabere	Mayo	Magnetic Resonance Imaging, Positron emission tomography
Geoffroy Gagliardi	Brigham and Women's Hospital	Awareness, Biomarkers
Yu Gai	UESTC	Alzheimer;Classification;DeepLearning
Felipe Gaitan	Universitat Pompeu Fabra	mri super resolution
Niharika Gajawelli	USC	fMRI, MRI, AD, MCI,
Anand Kumar Reddy Gajulapalli	Annamacharya PG college of computer studies	required
Douglas Galasko	UC San Diego	CSF biomarkers cognition
Paola Galdi	University of Salerno	networks, multi-modal data, classification
Liisa Galea	University of British Columbia	APOE, Pregnancy, motherhood, hormone therapy, inflammation
Elena Galea	Institute of Neuroscience, University Autonoma of Barcelona	proteomic data, CSF/plasma, astrocytic signature(s)
Brahyan Galindo Mendez	University of California, Berkeley	Alzheimer's disease,
Kevin Galinsky	Takeda	NFL; cognition; TREM2; CD33
Charles Gallay	EPFL	Master These
Carlos Galmarini	TOPAZIUM	Artificial intelligence, deep neuronal networks
Deepak Gambhir	Galgotia College of Engineering and Technology	Alzheimer disease AD; Machine Learning Models
Charlie Gamett-Griggs	University of Bath	MRI, Convolutional Neural Network, Deep Learning, Transfer Learning
Chen Gan	南京大学	Medical Image Process
Hong Seng Gan	Universiti Kuala Lumpur	hippocampus Segmentation, Alzheimer's Disease, Random Walks
Christina Gancayco	University of Virginia	neural network, machine learning, deep learning
Amisha Gandhi	Boston University	final project, machine learning
Maite Gandia	IIS La Fe	Artificial Intelligence
Michal Gandor	Politechnika Krakowska	machine learning research
Arya Ganesan	Academies of Loudoun	Tau, Alzheimer's Disease, Segmentation
Ajith Kumar Ganesan Govindasamy	VasoGnosis	Deep learning, wGANs, Gan Data Augmentation
Rithvik Ganesh	Jasper High School	AD, machine learning, diagnosis
yang gang	ustc	segmentation
li gang	Northeasten university	AD
Umesh Gangadharaiah	JSS SCIENCE AND TECHNOLOGY UNIVERSITY	Alexnet,CNN
AYUSHE GANGAL	G.B. Pant Govt. Engineering College	neural networks, deep learning
Rekha Gangula	KITS, warangal	Alzheimer's disease analysis, prediction, Data analysis
Arkaprabha Ganguli	Michigan State University	Alzheimer’s disease, High dimension valariable selection, nonrandom nonresponse
Sandeep Ganji	Philips	ASL
Reema Ganotra	YMCA University of Science and Technology	Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Jonathan Gant	University of Florida	topological data analysis, machine learning
Qinnan Gao	National Tsing Hua University	deep learning, CycleGAN
Yang Gao	Central South University	AD/GNN/Disease Analysis
Xiaohong Gao	Middlesex University	multi-modal classifier, fuzzy logic
Heibei Gao	Hangzhou Normal University	PD AD MC cognitive diseases
yan gao	Xi’an Jiaotong University	multi-view classification
Yuan Gao	University of Oxford	Yeye8330209
Lijuan Gao	Affiliated ZhongDa Hospital, Southeast University	APOE, DMN, MCI, conversion, AD
Simon Gao	FuDan University	adniczg123
Fuxun Gao	University of Shanghai for Science and Technology	Alzheimer’s disease; Computer-aided diagnosis
ZhiQiang Gao	PengCheng laboratory	radiomics, radigenomics
Xue Gao	Shaanxi Normal University	fMRI data
Yurui Gao	Vanderbilt University	functional connectivity
Yifan Gao	Northeastern University	computer-aided diagnosis, deep learning, medical image analysis
Kejiao Gao	Northeastern university of china	Transfer learning
Linlin Gao	Ningbo University	longitudinal MRI, convolutional neural network, recurrent neural network
Yunhe Gao	Rutgers University	Segmentation CNN
Peirong Gao	Zhejiang University	BIN1，AD biomarker
Kun Gao	UNC-chapel hill	medical image classification, deep neural network
Kai Gao	SEfe	AD, MCI
zhengzhou gao	beihang university	gzzhv587
Zongmei Gao	Columbia University	MRI, AD, screening
Hanzhi Gao	University of Florida	Matrix Masking, Neural Network over Masked Data
Jian Gao	Guizhou University	Request
Libin Gao	Wenzhou University	data
Yali Gao	new york university	risk factor
Xiao Gao	University of California, San Francisco	atrophy, cognition
Xingyu Gao	Shanghai Jiaotong University	Alzheimer`s disease, Muti-modality, Deep learning
Wei Gao	Merck	Amyloid, Tau