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
Milin 'Kim	NORMENT / University of Oslo	norment normative modeling
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
Ankita .	Chitkara University	Classification, Alzheimers, Deep Learning
1 1	中南民族大学	study
6 78	National Taiwan University	starrain0819
Jismi K A	College of Engineering Trivandrum	Alzheimer's Disease, mild cognitive impairment, Cognitive impairment
a a	a	a
Suganya A	VIT University	Alzheimer, classification,deep learning
Shravya A	VCET Puttur	MRI
Sasithradevi A	Vellore Institute of Technology	disease diagnosis
Thushara A	TKM College of Engineering	AD,MCI,Brain graph, rsfmri,DTI,Tractography
XY A	山东大学	GCN, AD,Machine learning
Shrihari A	IIT Guwahati	MRI, T1, HV, CNN
Srinivasan A	CSIR-CMERI	Alzheimer's Disease
Revathi A	SRM Institute of Science and Technology	machine learning
Sai Darahas A	National Institute of Technology Andhra Pradesh	neuroimaging
Talha Fathima A	St.Joseph's college of engineering	3D CNN
ananda kumar a	-	research
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
Prabhakar A T	Christian Medical College, Vellore	Lesion based study, Stroke, Lesion network mapping
Yassine Aakil	UMASS Lowell	AI, MRI, CT, Brain
nima aalizade	rs	cnn
soukaina aassouss	university of cagliari	CNN ,Classification
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
amal abbas	university of Al-Qadisiyah	Alzheimer disease diagnosis
Syed Qasim Abbas	La Trobe University, Melbourne	Discriminate Atrophy Localization
ali abbasi	Urmia University of Technology	Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne
Kainat Abbasi	Habib University	3DCNN, Adam(), SGD()
Tayaba Abbasi	Khalifa University	Dementia, machine learning
pouneh Abbasian	Texas A&M university	Alzheimer, Neural Network, Deep learning
farzan abbasnejad	Isfahan university of Technology	fMRI, SPM, SVM, ANN
GHULAM ABBASS	GOVT. COLLEGE UNIVERSITY FAISALABAD, PAKISTAN	MULTI-CNN
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
Dinar Abdelaziz	University of Mustapha Stambouli	ADNI
Eman AbdElhalim	Mansoura University	alzeihmar
Ahmed Abdelhameed	UThealth	Survival analysis; Machine Learning, Bioinformatics
LEBAL Abdelhamid	ensh blida	deep learnin, attention mechanism, neural network
Moro abdelhamid	Ain Shams University	epistasis and SNPs
LEBAL Abdelhamid	ensh blida	deep learnin, attention mechanism, neural network
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
Leila Abdelrahman	Charles E Schmidt College of Medicine	Deep Learning. Medical Image Analysis
Mohamed Abdelsalam	Mansoura University, faculty of Engineering	fractal analysis, biomedical engineering
Mohamed Abdelsamea	Birmingham City University	Deep learning; multimodal
Tarek ABDENNAJI	ENIT	Neuron
ines abdennaji	ENIG	biomedical image analysis
ZERAII Abderrazek	LRBTM-Tunis ElManar University	connectivity; functional MRI; Alzheimer’s disease; biomarkers
AmirHussein Abdolalizadeh	Tehran University of Medical Sciences	Alzheimer's Disease; Dopamine; MRI; Network
Mehdi Abdollahpour	Amirkabir university of technology-Tehran Polytechnic	Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN
Ahmed Abdulaal	University College London	Deep Learning, Causal modelling, Counterfactual analysis, Variational Inference
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
Iroshan Aberathne	Lincoln University, New Zealand	Alzheimer's disease, Neuroimages, EEG, Deep Learning
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
Paulsson Lowell Abrugar	Caloocan City Science High School	PET, convolutional neural network
John Absher	University of South Carolina Greenville	TBI exosome AD morphometry
Yasmine abu adla	RHU	AI biomedical enginerring medical imaging
Hussam Abu Ali	student	machine learning, deep learning, Mild cognitive impairment, Alzheimer's disease
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
ferial abuhantash	Khalifa University	Alzheimer's, Early Stage Detection, Risk Factors
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
Fella Achouri	AYDIN University	Alzheimer, Hippocampal, Machine Learning, Deep Learning, ADNI
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
Jenna Adams	UC Irvine	resting state functional connectivity
Hieab Adams	Erasmus MC University Medical Center	Neurodegeneration, high-dimensional data, brain imaging, genetics
Tobias Adamsen	Aalborg University	Super resolution, PSNR, SSIM
Victor Adankai	Florida A&M University	Dataset
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
Doyin Aderinwale	Korea Advanced Institute of Science and Technology	Visual question answering
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
Anusha Adluru	UW-Madison	MRI
Muhammad Adnan	University of Sialkot	Alzheimer’s Disease, Data Mining, Deep Learning, Healthcare, Classification
khadar afghan	KLE's Technological University	mini project on segmentation on brain mri
Awan Afiaz	University of Dhaka	Causal Inference, Joint Modeling, Longitudinal Data
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
Rehan Afzal	University of Newcastle	cnn
Sitara Afzal	Sejong University	Alzheimer's , Visualization, 3D model
Noorul Julaiha AG	Rsjalakshmi Institute of Technology	APOE4
Iman Aganj	Massachusetts General Hospital / Harvard Medical School	Brain connectivity
Amit Agarwal	USC	Tau, microglia, neurodegeneration
Kushagra Agarwal	Indian Instiute of Engineering Science and Technlogy,Shibpur	Alzheimer's Detection
Tanay Agarwal	Vellore Institute of Technology	GAN
Abhi Agarwal	Health Banyan	Medical
Varun Agarwal	N/A	The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge
Siddharth Agarwal	University of Nottingham	brain age, chronological age, delta, radionics
Ishaant Agarwal	BITS Pilani KK Birla Goa Campus, Sancaole, Goa	Unet, segmentation, deep learning
Hrithik Agarwal	Malaviya National Technology of Jaipur	Alzheimer's Disease using Graph Signal Processing on Neuroimaging Data
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
Deevyankar agarwal	Higher College Of Technology	MRI,Alzhimer DIsease,MCI
Bless Agbley	University of Electronic Science and Technology of China	Federated ML, Multimodal Medical Analysis
Kunal Aggarwal	Amity University	Machine Learning, AD, MCI
Anay Aggarwal	Stoller Middle School	behavior test scores
Arshiya Aggarwal	Manipal University (MUJ) Jaipur	Alzheimer's, MCI, Early diagnosis, Convolution Neural Network
Shivansh Aggarwal	UW Madison	Clinica
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
Ambuj Agrawal	Elucidata Inc.	Project, Alzheimers prediction, IIIT Allahabad
Vismay Agrawal	Indian Institute of Technology Madras	Medical Image Analysis
Shubham Agrawal	OVGU	ADNI
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
Carlos Aguila	University of Pennsylvania	PLINK, machine learning, Alzheimer's Disease, biomarkers, targets
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
Meysam Ahangaran	Mazandaran University of Science and Technology	Data Readiness
Zoheb Ahasan	IIT Delhi	AD, Prediction
Jamila Ahdidan	Aarhus University	AD, hippocampus, prediction
Jayshree Aher	MIT World Peace University, Pune	Machine Learning. Data Analyti
Asha Aher	San Jose State University	Machine Learning Alzhmeirs
Rauf Ahmad	Uppsala University, Sweden	High-dimensions; Multivariate statistics; Linear models, Dependence measures
Shakeeb Ahmad	Indiana University	Alzheimer's Disease, Cerebral Amyloid Angiopathy
Muhammad Faraz Ahmad	Riphah International University Faisalabad	Alzheimer’s Disease
Ijaz Ahmad	Chosun University	Privacy-preserving deep learning model, medical image analysis
Fayyaz Ahmad	UNIVERSITY OF GUJRAT	SPM, FMRI
Hessam Ahmadi	Islamic Azad University, Science and Research Branch	fMRI, Non linear, graph theory, functional connectivity
Kourosh Ahmadi	Computing and Engineering	Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net
Fatemeh Ahmadi	Amirkabir University of Technology	Alzheimer's disease-Ricci flow-Conformal Geometry
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
Ayesha Ahmed	University of Edinburgh	ALZHIEMERS,CNN,MACHINE LEARNING,MRI,PET
Sabbir Ahmed	Jiangnan University	CNN, Alzheimer's
zubair ahmed	Nust university EME college Pakistan	Early Alzheimer Detection
Kamran Ahmed	Daffodil International University	AD detection
reem ahmed	KAU	Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Ear
Faseeh Ahmed	IIT Madras	Alzheimer's Disease, Deep Learning
Mahinour Ahmed	Faculty of science	Access to data
USAMA AHMED	Riphah International University	Machine Learning
Mughis Ahmed	UOG	Multiple sclerosis
Fahad Ahmed	Szabist University	computer vision, alzheimer’s disease, brain, mri
Mohammed Ahmed	Sudan international university	Alzheimer's, detection,MRI,
ismail ahmed	University of Anbar	BRAIN ANALYSIS
Juweiriya Ahmed	Western University	Psychosis, AD
Tahera Ahmed	Bond University	Alzheimer's, Early Detection, Prediction
Khandakar Tanvir Ahmed	University of Central Florida	mutation, MRI image, Alzheimer
zubair ahmed	Nust university EME college Pakistan	Early Alzheimer Detection
Tasnim Ahmed	Islamic University of Technology	Biomedical Image Processing, Neural Networks, Machine Learning
MOHA AHN	GONGTO	Alzheimer's Disease
Yong Yeol Ahn	Indiana University	network, multi-omics, data integration
Minkyu Ahn	Handong Global University	Alzheimer's Disease, Random Forest, Magnetic resonance imaging
Kyungmin Ahn	Keimyung University	SRVF, shape analysis
Mobassir Ahsan	East West University	hippocampus, semantic segmentation, deep learning
Narendra Ahuja	Univ of Illinois at Urbana-Champaign	Machine learning, Representation Learning, Computer Vision
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
zainab aizaz	Maulana Azad National institute of technology	CNN, ANN
Michael Aizenshtadt	University of Waterloo	machine learning, educational
Santiago Aja-Fernandez	Universidad de Valladolid	Diffusion MRI, anisotropy measures, robust estimation
Sonali Ajankar	Indian Institute of Technology (IIT-BHU), Varanasi	Medical Image processing
Nurefşan AK	Konya Technical University	Teknofest, Graduation project
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
Nasrin Akbari	University of Victoria	ADNI-GO
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
umit akkaya	gebze technical university	vision transformer
Essang Akpan	University of Pittsburgh	lateralization, asymmetry
Mohammad Akradi	Shahid Beheshti University	OSA, AD, MCI
Muhammad Haroon Akram	Bahria University Islamabad	ALPHA
Farhan Akram	Khalifa University	Alzheimer, early prediction, convolutional neural networks, deep learning
samina akram	ucp	DTI, Alzheimer's disease ,DTI images
Wasim Akram	East West University	detection, deep learning, early-onset Alzheimer, mri
Mina Akrami	Bahonar	MRI images
Alexander Aksenov	UCSD	metabolomics
IBRAHIM AKSIT	Gazi University	Anomaly,Detection,Alzheimer,advanced,deep,learning, model
Leon Aksman	USC	test
Leon Aksman	UCL	structural MRI, longitudinal analysis, imaging genetics
Mari Aksnes	University of Oslo	Biomarker course, statistical workshop, UGOT/UCL
Fatma Dila AKSONGUR	Yeditepe University	alzheimer disease, artificial intelligence
İbrahim Melih Aktaş	Bogazici University	dementia alzheimer transition clustering
Shamima Akter	George mason University	Deep learning
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
Roba Al Majzoub	Mohamed Bin Zayed University of Artificial Intelligence	Alzheimer's, Detection, Deep Learning, Computer vision
Hasan Al Marzouqi	Khalifa University of Science and Technology	deep learning, residual networks, constitutional networks, SNPs
Mariam Al Moussawi	Lebanese International University	AD, CNN, SVM, MRI DATASET, ALZHEIMER EARLY DETECTION
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
Heba AL.Marwi	Sana'a University	Feature selection Multi-objective optimization
Adnan Alahmadi	King Abdulaziz Univeristy	rsfMRI AD Funcional Connectivity
Cansu Alakus	HEC Montreal	brain regional covariance based on covariates
FADHL ALAKWAA	MICHIGAN UNIVERSITY	drug discovery , drug repurposing
Tanvir Alam	Hamad Bin Khalifa University	Alzheimer's Disease; Mild Cognitive Impairment; SNP; Machine Learning
Mohammad Alam	Ulster University	assignment
Aftab Alam	Hazara university mansehra	no
Raquib-ul Alam	University of Sydney	longitudinal,mri,mri,pet,genetic
Md Ashad Alam	Tulane University	Robsut kernel, Machine lerning
FARIHA ALAM	university teknologi malaysia	neuro imaging, data process, neuroscience,
Hussein Alameri	Ataturk University	Data Fusion
Wang Alan	WTU	deep learn
Imad Alanbari	university of kufa	perdiction analysis
Saif Alansari	UTeM	deep learning , Alzheimer's disease , AI
Oscar Alarcon Palomar	UNED	U-Net
Teresa María Alarcos Tamayo	WstartupC	ML, AI, Alzheimer
Maitha Alarjani	King Faisal University	Alzheimer's disease, brain Signals, Deep learning, 3D-CNN, Neuroimaging
Maitha Alarjani	King Faisal University	Alzheimer's disease, brain Signals, Deep learning, Machine learning, CNN
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
BRUCE ALBALA	UC IRVINE School of Medicine	Cognition, AD
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
RODRIGO ALBITER CAMPUZANO	UNIVERSIDAD AUTONOMA DEL ESTADO DE MEXICO	rs-fMRI, marker, mild cognitive impairment
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
Rana Aldisi	Uniklinikum Bonn	genetic-risk, PRS, associations, predictions
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
Joshua Alfred	VIT Chennai	machine learning
Jaafar Alghazo	Prince Mohammad Bin Fahd University	Alzheimer; Image Processing; Deep Learning; Medical Diagnosis
Afnan Alhassan	Shaqra University	sMRI, AD, OTSU segmentation, EFEHO, DA-MIDL.
Lea Alhilali	Barrow Neurological Institute	Diffusion tensor imaging
rachid Alhyane	FSC Ben M'sik	Deep Neural Network, Detection Alzheimer’s Disease
Aya Ali	Nile university	Master project, data fusion, disease detection
shahad ali	Technical College of Management	MRI dataset
Ameen Ali	Tel Aviv University	MRI , Super Resolution , alzheimer’s detection
Waqar Ali	UCB	disease clustering, progression
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
Nawazish Ali	Istanbul Medipol University	Early stage alzheimer prediction
Mohd Hanafi Ali	The University of Sydney	Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
Basharat Ali	UET PESHAWAR, Pakistan	Deep learning, Machine learning
Samr Ali	Concordia University	machine learning, hidden markov models
YAQEEN ALI	Comsats university of Islamabad Lahore campus	White matter hyperintensities,ADNI,Segmentation
Obaï Bin Ka'b Ali	Concordia University	functional integration, multiscale dialogue, intrinsic networks
Nyurbek Aliev	None	Normal-pressure hydrocephalus, brain atlas, segmentation
Hasna Noor Alifa	Gadjah Mada University	Alzheimer Disease, Therapeutical Nuclear Medicine
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
mohammadreza alizadeh	university of guilan	Alzheimer's disease
mohammadreza alizadeh	university of guilan	saeed1500
farzad alizadeh	tums	fmri,deep learning
Shorouq AlJarad	Jordan University of Science and Technology	MRI, Deep Learning, CNN
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
Gert-Jan Allemeersch	Vrije Universiteit Brussel/ UZ Brussel	MRI, biomarker, hippocampus, MTA
Michael Allen	University of Exeter	synthetic gan gtn
Janerra Allen	University of Maryland Baltimore County	biomarkers, Alzheimer's, dementia
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
Badar Almarri	King Faisal University	AD, Machine Learning, Feature Selection
Badar Almarri	King Faisal University	AD, Machine Learning, Feature Selection
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
davide aloi	university of birmingham	alzheimer, deep learning
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
Afnan Alqarni	Wayne State University	Alzheimer’s disease
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.
Yousif Alsadah	Massachusetts Institute of Technology	Computer Vision
Omar Alsaif	Northern Technical University	hicampus, MRI, Alzheimer classification
Thomas Alscher	University of Copenhagen	Image registration; Topology change
Lama Alshabib	Lean Business Services	classification
Hind Alshammari	university of Hail	Alzheimer's disease, brain imaging, Deep learning, Image classification, 3d CNN
Aamna AlShehhi	Khalifa University of Science and Technology - MIT	Autoencoder, Multi-model deep learning , AD risk factors
fatima alshehri	KSU	Ff19811981
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
Osahon Aluyi	Leeds Beckett University	2VF46
Chelsea Alvarado	University of Virginia	deep learning models, research, neuroimaging genomics project
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
Paulo Alves	Universidade do Minho	MRI, MCI
João Alves	Universidade do Minho	AD; MCI; Machine Learning; study grant.
siti nur atiqah alwi	university malaya medical centre	texture analysis and key features
Maha Alwuthaynani	University of Bristol	deep learning, transfer learning, Machine learning, medical images,Alzheimer's
Esraa Alyoubi	king abdulaziz university	Machine Learning , Brain template ,hippocampus,Convolution neural network.
Renad Alzahrani	King Abdulaziz University	Machine learning- algorithms
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
udaya kumar ambati	IIT Hyderabad	Deep Learning, GAN, Transformers
SAI SANTOSH AMBATI	NITK SURATHKAL	Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
Felix Ambellan	Zuse Institute Berlin	Disease classfication, Statistical shape analysis, Manifold valued statistics
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
Engr. Amin	COMSATS University Islamabad - Wah Campus	volume
Sadia Amin	BRAC University	AD,Neural network
yahiaoui amina	Blida university	MRI/PET
ACHAIBOU Amina	Ecole national polytechnique d'alger	TEP , detection , neurodegenrative deseas
Eriza Aminanto	University of Indonesia	classification, alzheimer
Kouda Amine	DZ	ADNI
Hamed Amini	Tehran	913151001HaA
Morteza Amini	Institute for Cognitive Science Studies	Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Nasrin Amini	Shahid Beheshti University of Medical Sciences	Alzheimer , MRI, classification
Yasin Amini	khuarazmi university	Prediction, ANN
Morteza Amini	Shahid Beheshti University	Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Dan Amir	The Hebrew University of Jerusalem	rest-state fMRI, functional tradeoffs, functional connectivity
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
Xiao-Lin AN	Hebei University	Fine classification
Lijun An	National University of Singapore	ML, AD
Anjana Anand	SSN College of Engineering	Deep learning, Data Augmentation, GANs, medical image
Samarth Anand	Meerut Institute of Engineering and Technology	Research, Machine Learning, Thyroid Detection
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
Cole Anderson	University of Washington	WMH, Imaging
Spiffy Anderson	UCSF	Research, neurosurgery, cool, jazz, fun, vibes
John Anderson	Carleton University	multishell, NODDI, aging, cognitive reserve
Deanti Andew	Jiamusi University	MCI classification algorithm
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	Alzheimer, Deep learning
Farhan Angan	BRAC University	Alzheimar, Deep learning
Spyros Angelopoulos	Tilburg University	AI, neural networks
Ferry Angkoso	ITS	CNN, multi feature
AUGUSTO ANGUITA-RUIZ	ISGLOBAL	EXPOSOME MIXTURE EXPOSURES MODELLING
Pham Anh	UET	rnn
Ahmadi Anis	Faculty of sciences of Tunis	Alzheimer's disease, machine learning
Sule Anjomshoae	Umeå University	XAI GNN AD
Nafisa Anjum	Chittagong University of Engineering & Technology	Alzheimer's, applied machine learning
Zonera Anjum	National University of Computer and Emerging Sciences	Dementia, Alzheimer
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
Pardha Saradhi Reddy Annapareddy	Kansas state university	Alzheimer’s, Deep learning, CNN
Shahab Ansari	GIKI	automatic brain segmentation, Alzheimer's disease, machine learning
MD SHAMSHAD ANSARI	Jadavpur University	Research, Master's Degree
FAIZAH ANSARI	MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA	RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION
Aamir Ansari	Univ.AI	MachineLearrnig Research Study Artificial Intelligence
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
Arima Valan Immanuel Antony Dhanasekaran	Indian Institute of Information Technology, Design & Management	Generative Adversarial Networks, Deep Super Learners,
Diana Antyukhova	Universidad de Sevilla	BIOMEDICAL IMAGE
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
Xiang Ao	Rutgers University	Database Systems for Data Science – CS527
yueyuan ao	UESTC	image registration, deep learning
Mosbah Aouad	University of Illinois Urbana-Champaign	Uncertainty, Disease Progression Modelling, Machine Learning
Mazin Aouf	Western Sydney University	Medical Research Datasets
Li Yew Aow Yong	Universiti Teknologi Malaysia	classification
Jeetashree Aparajeeta	VIT	alzheimer's disease
Antonino Aparo	University of Verona	Gene SNPs GWAS
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
Vincent Appiah	University of Ghana	Neuroimaging,Machine Learning,Alzheimer
Dace Apsvalka	Medical Reseach Council	Hippocampus
Domenico Aquino	Fondazione IRCCS Istituto Neurologico Carlo Besta	Morphometry, PET
Arsen Arakelyan	Institute of Molecular Biology NAS Armenia	spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis
Itsasne Arangoa	Mondragon Unibertsitatea	MRI preprocessing
Kumarran Arasaretnam	Birkbeck University	Alzheimer's
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;
Peter Ardhianto	Asia University Taiwan	deep learning, clara, multi-task, computer vision, alzheimer
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
Bushra Arif	Ned University Of Engineering And Technology	Machine Learning , Alzheimer's Disease Detection, Machine Classifiers
Bushra Arif	Ned University of engineering and technology	CT Scan, Alzheimer's Disease, Research
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
Kosei Arima	Balochistan Univeristy of information and technology	Alzheimer's, MRI, Detection, medical
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
Seyed Amir Arjmand	university of Tabriz	Alzheimer's disease
Lukas Arlauskas	Kaunas University of Technology	Machine Learning, Artificial Intelligence, Software
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
Ashok Arora	ABV - Indian Institute of Information Technology and Management, Gwalior	interpretability, healthcare
Jai Arora	Netaji Subhas Institute of Technology, New Delhi	Na
Amit arora	ptu	MRI, Mammography, image processing, Deep learning, machine learning
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
Meltem Arslan	Bogazici University	dementia alzheimer transition clustering
naciye nur arslan	dumlupinar university	deep learning, alzheimer disease
naciye nur arslan	dumlupinar university	deep learning,alzheimer
Emilio Artacho-Perula	University of Castilla-La Mancha	Alzheimer, Euclidean distances, MRI
Oswaldo Artiles	Florida International University	human brain networks, dynamics, Alzheimer, network analysis
Madhumitha Arul	Lakehead University	Dementia, Deep Learning, CNN, DQN model, AI techniques, Alzheimer's
Eivind Arvesen	N/A	machine learning, deep learning, ai, neural networks
Ida Arvidsson	Lund University	Neuroimaging, deep learning
S Arvind	Indian Institute of Information Technology, Nagpur	Alzheimer's Disease, Mild Cognitive Impairment, Deep Learning, ADNI
Nikhilanand Arya	Indian Institute of Technology Patna	Deep learning, Multimodal
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,
Mohammad Asadi	Babol Noshirvani University of Technology	Diagnosis of Alzheimer's disease
Fatemeh Asadi	Tehran universityof medical sciennce	Alzheimer, machine learning
Amirhossein Asadian	Sharif University of Technology	Cognitive decline
mahdi asadolaahi	kermanshah university of medical science	ADAS, various neuropathological subgroups of Alzheimer’s
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
Usman Asim	UNOMIC	lzheimer's Disease Detection 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
Babak Aslani	George Mason University	causal learning, Mixed-type data
Vahan Aslanyan	USC	ADNI
Toshihiko Aso	Kyoto University Graduate School of Medicine	BOLD signal, cerebral blood flow, venous drainage
Amanullah Asraf	KUET	AD, CNN, DSA- 3D CNN
Muhammad Amirul Aiman Asri	University Malaya	IQA, MRI
Shervin Assari	Charles R Drew University of Medicine and Science	race, ethnicity, socioeconomic status, education, cognitive decline
Ola Assim	Mosul university	Alzheimer’s disease (AD); mild cognitive impairment (MCI); AD continuum
Ayoub Assmi	Ecole Nationale Supérieure d'Arts Et Métiers	Alzheimer's disease - MRI images - machine learning-artificial intelligence
arman atalar	Eskisehir Osmangazi University	deeplearning, alzheimer disease, apoe4
Meltem ATAY	MIDDLE EAST TECHNICAL UNIVERSITY	Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Melvin Selim Atay	Middle East Technical University	Deep Learning, Explainability
Meltem Atay	Middle East Technical University	Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Abdel Malek ATCHI	Ecole Nationale Polytechnique	Alzheimer, machine learning, classification
Tushar Athawale	University of Utah	ensemble, uncertainty visualization
efi Athieniti	Cyprus Institute of Neurology and Genetics	data integration;
HITESH ATHWANI	UNIVERSITY OF LUCKNOW	MACHINE LEARNING, PREDICTION Alzheimer
Umit Atila	Karabuk University	deep learning, classification, automatic disease diagnosis
Ethan Atlan	Madison International School	AD, MRI, PET, beta-amyloid, genetic treatments
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
Arnaud ATTYE	Grenoble University Hospital	machine learning ; Structural MRI ; phenotype
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
Ambili AV	Hindustan college of arts and science	Brain multiplex, Correlative analysis, Dementia, discriminant analysis DNN, Fi
Nisha AV	Kalasalingam university	ALZHEIMERS,fMRI,enhancement,segmentation,classification
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
Angelica Aviles	University of Cambridge	AD MCI diagnosis, Machine Learning, Graphical Models
Egils Avots	University of Tartu	MRI, image processing, nn, cnn
Nicodemus Awarayi	University of Energy and Natural Resources	Deep learning, Capsule network, CNN, Data fusion
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
gu ayaa	tongji	gzy122232
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
Sümeyye Aydın	Kayseri Üniversitesi	3D neural networks, deep learning methods, new model
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
Ishan Ayus	NIT ARUNACHAL PRADESH	Alzheimer's disease
sezin ayvaz	tazi.ai	classification, use-case
deniz ayvaz	boğaziçi university	lstm, irregular time series
faiza Ayyob	university of okara	Alzheimer's Disease
Harry Azadbakht	TMU University	Alzheimer Disease, Prediction, Regression
Ankush Azade	NITK	brain, tumor
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
Flavia Azevedo	State University of Campinas (UNICAMP)	Explainable Artificial Intelligence; Alzheimer's disease; Early diagnosis
BERNARDO AZEVEDO	City University of London	Medical image segmentation task
Abu Zahid Bin Aziz	Rajshahi University of Engineering & Technology	deep Learning, medical imaging
Ahmad Aziz	German Center for Neurodegenerative Diseases	genome-wide association study, neurofilament light chain, Alzheimer disease
aniza Aziz	xylexa	genomic data
Md. Tarek Aziz	Independent University, Bangladesh	N/A
Ahmadreza Azizi	Virginia Tech	deep learning classifier
tahmineh azizi	Florida State University	Fractal Geometry
Shahla Azizi	University of New Brunswick	MCI, Alzheimer, machine learning
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
jawahar b	kongu engineering college	dataset
Keerthana B	Vidyavardhaka College of Engineering	Deep Learning, Classification, Detection, CNN
Deepika` B	Manukau Institute of Technology	analysis
Vijayalakshmi B	Mepco Schlenk Engineering College	MR Brain Image, Segmentation, Deep Learning
Sathyabhama B	Panimalar Engineering College	Brain diseases, prediction/detection
Venkatesh B	JSS	CNN
Athira B	TKMCE	Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise
Divya B	Stigmata techno solutions LLP	alzhiemer,ML
Jamal Mohamed B	SSN COLLEGE OF ENGINEERING,CHENNAI	Alzheimer
Rudhra B	IIITMK	PARKINSON
priyadharshini B	VIT	data ,Alzheimer
shwetha B	sjce	Alzheimers, MRI, Wavelets, SVM
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
Tina Babu	Dayananda Sagar University	artificial intelligence, artificial neural network, image classification, machin
stalin babu	AITAM	DEEP LEARNING
Birsu Bac	Northwestern University	biomarkers, research, aging, AD transgenic rats, APOE, Abeta, masters thesis
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
Tobias Bachmann	Medical Center at the University of Leipzig	SBM, ADAS11
Lucas Backes	Uliege university	Master Thesis
Anwesh Badapanda	Bennett University	Semester project
Alexandra Badea	Duke University Medical Center	MRI, DWI, fMRI
giovanni bader	Novartis AG	dementia hypertension ARBs
AmanPreet Badhwar	CRIUGM, University of Montreal	neuroimaging, genetics
Doa'a Bador	Tishreen University	Alzheimer's disease; MRI
Dennis Badugu	Ulster University	Machine Learning
Jihyun Bae	Gachon University	Test module, Alzheimer's disease(AD)
Hyunjung Bae	Seoul national university	M-IPAD
Jong Bin Bae	Seoul National University Bundang Hospital	Alzheimer's disease, MRI, biomarker
Lea Baecker	King's College London	machine learning, MRI
Kwangyeol Baek	Pusan National University	Neuroimage, Cognitive function, Longitudinal study, Cohort, PNU, Korea
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
Andhika Bagaskara	Universitas Muhammadiyah Malang	Alzheimer, CNN, Image Classification
Ali Baghayeri	Shahrood University of Technology	ADNI data analysis
Ali Baghayeri	Shahrood University of Technology	preprocessing data
Golnaz Baghdadi	Amirkabir University of Technology	Computational neuroscience ; multimodal sensory
yamin bagheri	Tehran university	deep learing, calssification, Alzheimer disease
Fatemeh Bagheri	University of Toronto	1.5T MRI image, 3T MRI image
Sara Bagherieh	Isfahan University of Medical Sciences (MUI)	Alzheimer's disease, Radiological Markers, Disease Progression
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
Vanshika Baheti	Manipal University Jaipur	Minor Research Project
Mohamad Bahmanpour	Shahid Bahonar University of Kerman	MRI, Alzheimer disease
Mehrnaz Bahraim	Tehran University	AI-CNN-Alzheimer’s Disease-classification
Kave Bahraman	Shahid Bahoonar University	ADNI DeepLearning 3D
Amir Hossein Bahrololoomian	Azad University	Alzymer
Haotian Bai	Shanghai University	machine learning
Wenjun Bai	ATR	dynamic effective connectivity
Kun Bai	University of Michigan	gene expression, DEG, ANOVA
Yang Bai	WHUT	123456
Wenhao Bai	Shaanxi normal university	deep learning
Xiaoyu Bai	Northwestern Polytechnical University	Deep learning; MCI; AD
Jianling Bai	Nanjing Medical University	Alzheimer's disease,GWAS,Radiomics,gene-environment or gene-gene interactions
xinhao bai	Henan university of technology	medical image registration and segmentation
Ahmed Baig	University of Queensland	perceiver transformer, neural networks
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
Ron Baker	University of Kentucky	Alzheimer's AD Dementia CARTS
Susan Baker	Janssen R&D	Diagonsis, Progression, Biomarkers
Suzanne Baker	Lawrence Berkeley National Laboratory	AV45, R1
Suzanne Baker	Lawrence Berkeley National Lab	longitudinal glucose metabolism
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
Akhil Bakhshi	KCL	Schizophrenia
mahdiyeh bakhshi	Shahid Bahonar University of kerman	Transfer learning
mahdi bakhshi	iran	brain
Mahdiyeh Bakhshi	Shahid Bahonar University of kerman	1q2w3e4r
Serguei Bakhteiarov	Biogen	Alzheimer, amyloid, tau
Maryam Bakhtiary	Shahid Chamran University of Ahvaz	Mild Behavioral Impairmen, preclinical syndrome, mild cognitive impairment
Arnold Bakker	Johns Hopkins University	Entorhinal Cortex
eman bakr	student	project
Kavitha Bakshi	Ryerson	Medical Machine Learning
Somrita Bakshi	Indian Statistical Institute	PET, MRI, PIB, AV45
Abhishek Bal	Calcutta University	PET datasets, brain
PAVITHRA BALA	LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING	ALZHEIMERS , EEG
Diponkor Bala	Islamic University-Bangladesh	Brain MRI
Rukku Bala	Ericsson Inc.	dementia, alzheimers, mri, ai, clinical data
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
Erica Balboni	University of Modena and Reggio Emilia	T1-weighted
ERDEM BALCI	Gazi University	PET, FDG, Amyloid
Dobri Baldaranov	USC	CMB, WMI, OAK, anti-platelet
Cristiano Baldassari	Università Gabriele D'Annunzio di Chieti Pescara	early alzheimer, topological data analysis
Cristiano Baldassari	Università Gabriele D'Annunzio di Chieti Pescara	Explainable AI, Early Alzheimer, Embedding
Rajat Baldawa	WPI	Alzheimer's, Cognitive Performance Data, Neural Network, Linear Regression
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
Priyanka Baloni	Institute for Systems Biology	Metabolism, multi-omics analysis, lipidomics, metabolomics
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
parthi ban	VIT university	mri, alzheimers , CNN
Yanjiao Ban	Guangxi University	Alzheimer's diagnosis; Multimodal image fusion
Daniel Bandala	Universidad Nacional Autónoma de México	Neural netowkrs, DTI, Transformers
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
Sattwika Banerjee	INSTITUTE OF NEUROSCIENCES KOLKATA	Alzheimers, Morphometric Analysis
Abhijit Banerjee	Dr. B C Roy Engineering College, ECE	Deep Learning, Classification
Ji-In Bang	CHA Hospital	neuroimaging
Ali Haider Bangash	STMU Shifa College of Medicine, Islamabad, Pakistan	Alzheimer's disease; Automated machine learning; Prediction
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
Ketan Bansal	National Institute of Technology Andhra Pradesh	Artificial Intelligence, Deep Learning, NIT, India, Research
SANCHIT BANSAL	the university of hong kong	-
Shivansh Bansal	JECRC University	Medical Image, MRI, CT Scan
Ketan Bansal	National Institute of Technology Andhra Pradesh	Artificial Intelligence, Deep Learning, NIT, India, Research
Anton Banta	Rice University	self supervised learning, AD classification
Jaume Banus Cobo	INRIA	Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid
Lu Bao	Nanjing Normal university	Functional data analysis,FPCA,Block-wise missing data,Data imputation
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
rui bao	University of Science and Technology Beijing	seraphim19730521
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
Philip Barber	University of Calgary	stroke; TIA; brain atrophy; dementia
Justin Barber	University of Kentucky	neuropsych testing, education, amyloid, wmh
Robert Barber	University of North Texas Health Science Center	Alzheimer's disease genetics
Jordan Barbone	West Chester University	Independent, personal use
Jordan Barbone	Cogstate	AD, CBB, Staging
Adriano Barbosa da Silva	Queen Mary University of London	Machine Learning, Artificial Intelligence, Prediction
Manikya Bardhan	PES University	machine learning, deep learning, transfer learning, multi-modal
Manikya Bardhan	PES University	machine learning, deep learning, transfer learning
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
Kumar Deep Barman	North-Eastern Hill university, Tura campus	Alzheimer's disease
Leland Barnard	Mayo Clinic	high throughput PET processing pipeline
Jude Baroudi	University of Pittsburgh	Alzheimer’s, Neuroimaging, Artificial Intelligence, Medicine
Marta Barrachina	ADmit Therapeutics SL	Mild cognitive impairment, Alzheimer's disease, whole blood, DNA, mitochondria
Sandra Barral	Columbia University	GWAS plasma beta amyloid
Olivier Barret	CEA	Normalization, ATLAS
Jennifer Barreto	Medical Academy for Science and Technology	Machine learning, Support vector machine, deep learning
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
Jonathan Bartlett	University of Bath	multiple imputation; missing data
Antara Titikhsha Barua	Asian University for Women	AD
Dinesh Barupal	Icahn School of Medicine at Mt Sinai	metabolomics
Farzaneh Barzkar	Iran University of Medical Sciences	dementia, marker, neurocognitive assessment
Alfons Basa	Metropolitan College	alfkel
Chinmai Basavaraj	University of Arizona	MRI, fMRI, Deep Learning, Alzheimer's
Suryakanth Basavaraj	BMSITM	MRI,PET
Javaria Baseer	National University of Science and Technology(NUST)	CSF, blood, serum, Proteomics, Mass Spectrometry, Swaath analysis
Gabriela Basel	Stanford University	student, coursework
Ali Baselizadeh	Amir Kabir University of Technology (Tehran Polytechnic)	Alzheimer, Amyloid Beta, Perception, Memory, Population Genetics
SHAIK BASHEERA	ACHARYA NAGARJUNA UNIVERSITY	Alzheimer’s disease, Deep learning, Classification, Gray matter, Enhanced ICA
Abol Basher	Chosun University	Alzheimer
FAROUQ SADIK BASHIR	DIT UNIVERSITY	Alzheimer
Usman Bashir	St Barts Hosptal	CNN
Nauman Bashir	COMSATS UNiversity Islamabad	XAI; Deep learning; Automatic diagnostic; Concept
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
Madhumitha Baskaran	st.joseph college of enginerring	AD, biomarkers
David Baskin	Wake Forest School of Medicine	network analysis
Rani Basna	University of Gothenburg, Institute of Medicine	Alzheimer's disease, mild cognitive impairment, longitudinal,
Andrew Bass	Emory University	Interaction effects
Cher Bass	King's College London	generative models, deep learning, biomedical data
Blanca Bastardés Climent	Peltarion AB	Autism Spectrum Disorder, GANs, Neuroimaging, Master Thesis
Gisel Bastidas	ESPOL	IMAGE REGISTRATION
José Bastos	Universidade de Aveiro	CNN, DL, Classification
Joao Bastos	Universidade do Minho	machine learning, plasma, neuroimaging
Rikin Basu	Vellore Institute of Technology , India	deep learning , image processing , Alzheimer’s, diagnostics
Arindam Basu	University of Canterbury	Alzheimer's Disease, TBI, Polygenic risk scores
ganga surendra basva	bharath university	datasets
Layal Bata	Occidental College	Alzheimer's, shape analysis, machine learning
Vishant Bata	Indian Institute of Technology,(BHU), Varanasi-India	PET Scans, Early Detection, Machine Learning
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
Tanya Batra	Liverpool John Moore's University	Alzheimer's, early diagnosis, deep learning, machine learning, data analysis
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
Kacie Bauer	Claremont Graduate University	factor analysis
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
burak baytunca	University of Utah	asl, resting state fmri
Md Shamsuzzoha Bayzid	Bangladesh University of Engineering and Technology	Alzheimer's disease progression; Machine learning
Farideh Bazangani	Aix Université Marseille	machine learning
nooshin bazzazan	shahroud university of medical school	nooshinbazzazan
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
Gurkan Bebek	Case Western Reserve University	rapid cognitive decline, CCL2, inflammatory pathways
Sergio Becerra	Synaptecnetwork/UCLA	ASL, fMRI, Longitudinal
Lino Becerra	Invicro	asl, cbf
Laurel Beckett	UC Davis	Biostatistics
Khaled Bedda	Lakekead University	Neuroimaging, Autism Classification, Autism detection, deep learning
Hasan Atakan Bedel	Bilkent University	Deep learning, disease bio-marker, fMRI
Jenna Bedrava	University of Michigan	University of Michigan, Bayesian
Gary Beecham	University of Miami, Miller School of Medicine	genetics, neuropathology
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
Sahana Behera	Lexington High School	Brain MRI Scans, Machine Learning network
Nazanin Beheshti	University of Houston	CNN, Spatitemporal locality, Classification,
Iman Beheshti	CERVO Research Center, Mental Health University Institute of Quebec	estimation, brain age, MRI
Rahmat Beheshti	University of Delaware	Multimodal data analysis, Synthetic data generation
Qumars Behfar	Cologne University hospital	Connectome
Mahdieh Behjat	Iran University of science and technology	Alzheimer desease detection prevention
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
Connor Behnen	University of Oklahoma	networks fmri
Finn Behrendt	TUHH	MRI, Deep-Learning, UAD, self supervised learning
Tina Behrouzi	University of Toronto	GSP for brain mapping
Maryam Behzad	University of Tehran	Alzheimer's disease - amyloid beta - CSF targeted proteomics
liang beibei	Hebei University	Brain connectivity networks,Alzheimer's disease，fMRI
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
alaa belhadj	am a student	cnn
Vincent Beliveau	Medical University of Innsbrucl	n/a
Samantha Bell	Cleveland Clinic - Lou Ruvo Center for Brain Health	dementia, Alzheimer's, hippocampus, aggression
Hossain Bellal	Universiti Teknologi Malaysia	1234
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.
Laura Bellon	University of the andes	Neurodegenerative
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
aya ben abdallah	enetcom	brain , hippocampus , MRI , alzheimer 's , segmentation
Sonia Ben Hassen	National School of Electronics and Communication of Sfax	MCI stage, pMCI, sMCI, AD, hippocampus, segmentation, structural MRI data
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
Lea Ben Zvi	The Open Universoty of Israel	classifying fMRI data into several phases of AD
nadra ben-romdhane	MIRACL	alzheimer
Marc Benayoun	Wake Forest Baptist Health	convolutional neural network, AI
ACHRAF BENBA	ENSAM, MOHAMMED V UNIVERSITY	Alzheimer Disease
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
Neal Bennett	Gladstone Institutes	metabolism
Lauren Bennett	Hoag Memorial Presbyterian	Alzheimer's disease, diabetes, verbal memory
Erin Bennett	The George Washington University Milken Institute School of Public Health	generalizability, epidemiology
Julie Sara Benny	IIIT Kottayam	Resting state fMRI, graph theory,Alzheimer's disease
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
Isaac Bensaid	Wilfrid Laurier University	CNN overfitting
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
Alex Berg	Massachusetts Institute of Technology	AD subtyping, representation learning, imaging genetics, SCCA
Maurizio Bergamino	Laureate Psychiatric Clinic & Hospital	DTI; GQI; structural connectivity; prediction model
Evan Bergen Epstein	Northwestern University	Alzheimer's disease, machine learning, tau
Derek Berger	St. Francis Xavier University	brain-extraction, skull-stripping, CNN, U-Net
Swetlana Berger	UCB Biologicals	biological variability
Miles Berger	Duke University Medical Center	proteomics, CSF, Alzheimer's disease, MCI, cognition
Niels Bergsland	University at Buffalo	DTI, cognition, free water
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
Anne Berry	Brandeis University	dopamine, cortical thickness, cognitive resilience
Tessa Berry	Blue Cross Blue Shield of Illinois	deep learning, POC
Anne Berry	Brandeis University	dopamine, cortical thickness, cognitive resilience
Laiss Bertola	Universidade Federal de Minas Gerais	Genetics, using ADNI data as a teaching example, Friday Harbor
Lars Bertram	University of Luebeck	GWAS, EMIF, QTL, PGS
Sydney Bertram	Clemson University	tbi, traumatic brain injury
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
ALBERTO BESTETTI	MULTIIMEDICA IRCCS	AI ALZHEIMER
ALBERTO BESTETTI	UNIVERSITY OF MILAN	AI ALZHEIMER
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
Marc Beyer	German Center for Neurodegenerative Diseases	AD, Omits, imaging
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
Nikhil Bhagwat	McGill University	Alzheimer's, MRI, machine-learning
SHREYA BHAKTA	Columbia	ML, alzheimers, predictions
Shubham Bhand	Manipal university jaipur	machine learning, disease detection
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
Eshan Bhargava	University of California, San Francisco	Graph Convolutional Neural Network,
Vedanshi Bhargava	Banner	PiB, AV45
Lakshita Bhargava	Maharaja Agrasen Institute of Technology	Deep Learning; Alzheimers; Progression;Prediction
M S Bhargavi	Bangalore Institute of Technology	Alzheimer's Disease, Blood biomarker, dementia, machine learning
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
DANISH BHAT	Northeastern University	Alzhemiers
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
Kaushal Kishor Bhatt	Om Sterling Global University	sMRI and fMRI
Kaushal Kishor Bhatt	Birla Institute of Applied Sciences	sMRI data, CNN, Deep CNN
Ruchir Bhatt	Nanostring technologies	Deep learning
KAVITA BHATT	Delhi Technological University	Alzheimer, MRI, Disease Classification
SATARUPA BHATTACHARJEE	UC DAVIS	Analyze, Statistics
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.
Debanjali Bhattacharya	International Institute of Information Technology Bangalore	Texture, shape, volume
Sree Bhattacharyya	Indian Institute of Engineering Science and Technology, Shibpur	ADNI, AD Progression, Classification, Graph Convolutional Networks
ARINJITA BHATTACHARYYA	University of Louisville	shrinkage, logistic regression, variable selection, prediction
Sudeepa Bhattacharyya	Arkansas State University	metabolomics, neuroimaging
Kritib Bhattarai	Mayo Clinic	Reinforcement Learning, ANDIMERGE
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
Sonali Bhosale	SKNCOE	ALzheimer's disease, hippocampus, mri images, deep learning
SAJAN BHOSALE	SANJAY GHODAWAT UNIVERSITY	Alzheimer's Dataset
Amanjot Bhullar	University of Guelph	artificial neural netowrk
Swetha Bhumireddy	University of Missouri - Kansas City	AI, Deep Learning, Artificial Intelligence, algorithm, PET, imaging, scans, UMKC
Cheng Bi	Chinese Academy of Sciences	Medical image analysis; Artificial intelligence
Xinyuan Bi	Shanghai Jiao Tong University	AD metabolomics
Hanwen Bi	Columbia University	Functional connectivity, VAE
Xin Bi	Northeastern University	brain network, fMRI, Alzheimer's Disease
Shijia Bian	Emory University	data harmonization
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
shijia bian	EMORY UNIVERSITY	AD disease progressin
Wajiha Bibi	Aston University	biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement
Ayesha Bibi	University of Gujrat	Alzheimer's disease
Saba Bibi	international Islamic university Islamabad	alzheimer
Abhinav Bichal	Att intern	Machine learning model, Biomarkers, Correlations, Data Scientists
Przemyslaw Biecek	Warsaw University of Technology	explainable artificial intelligence
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
motahareh bijarchian	refah university	Alzheimer's
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
zhang bing	ANhui University Of Chinese Medicine	research
zhang bing	ANhui University Of Chinese Medicine	research
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
Qi Bingxin	Southwest University	Recognition of Alzheimer's disease based on Semi-paired probabilistic canonical
Huang BingYao	Beijing University of Posts and Telecommunications	joint modeling
Connor Binnig	University of Chicago	Modeling, Predictive Analytics, Algorithm
Kyriaki-Margarita Bintsi	Imperial College London	brain MR images, T1-weighted, AD classification
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
Steven Bishay	Vanderbilt University Medical Center	FDG-PET, Brain, Alzheimer’s, DLB, FTD, liver transplant, hepatic encephalopathy
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
Mampu Biswas	Amrita Vishwa Vidyapeetham	Mampu
Shameek Biswas	Bristol Myers Squibb	genetics, imaging, biomarkers, cognitive decline
Rahul Biswas	University of Washington, Seattle	Functional connectivity, Alzheimer's disease, Dynamic Causal Model
Rashni Biswas	Amrita Vishwa Vidyapeetham	Rashni
Tapabrata Biswas	Alzheimer's research	Alzheimer's research
Sanglap Biswas	IEM	Alzheimer
Subhrangshu Bit	Ramakrishna Mission Vivekananda Educational and Research Institute	Algorihtm, Machine Learning Preclinical Alzheimer's disease
Felix Bitzer	University Hospital Bonn	FDG PET, epilepsy
Malin Bjornsdotter	Sahlgrenska University Hospital	stroke, epilepsy, aging
zhang bl	JiLinUniversity	Prediction ,Alzheimer,Graph Neural Network
Mary Helen Black	Janssen Pharmaceuticals, Johnson and Johnson	Target Identification and Validation, GWAS, Alzheimer’s disease
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.
Yana Blinkouskaya	Stevens Institute of Technology	MRI, computational biomechanics, simulation and modeling
Wouter Bloem	Amsterdam UMC	Longitudinal, tau, PET, review
neela blore	Projects	Alzheimer Disease
Emma Bluemke	University of Oxford	healthy ageing, neural networks
Jenna Blujus	UWM	Alzheimer's disease
Dominik Blum	University Hospital Tuebingen	Parkinson, Cognition, FDG, denoising
Tobias Blum	University Hospital Essen	Alzheimer's disease, cholinesterase inhibitors, cognitive impairment
Marina Bluma	Karolinska Institutet	blood biomarkers, blood-brain barrier
Stefano Blumberg	University College London	Experimental Design
Jan Krzysztof Blusztajn	Boston University School of Medicine	plasma biomarker amyloid tau
Xiaolin Bo	University of Science and Technology of China	Statistical longitudinal data analysis
yu bo	zhejiangmedicaluniversity	alzhermer's disease
qun bo	Shanghai Maritime University	FC
Miguel Bocard	Texas A&M university	Analysis, Research, Statistics, Data
Jason Bock	Embic	MCI, AD, longitudinal, prediction, bayesian modeling, biomarkers, amyloid, tau
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
Ana Boeriu	University of California, Davis	Dr. Harvey, MS comprehensive examination, data analysis project
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
Harshini Bonam	Rutgers University	CS527 Databases for Data Science course project
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.
Edward Booker	Genentech	longitudinal analysis
Tanupat Boonchalermvichien	University of Pittsburgh	causal inference, brain imaging, SNPs
sahar borazjani	isfahan university	LIPOPOTEINS AND METABOLITES
Maria Bordukova	Technical University of Munich	master's thesis, disease prediction, incomplete dataset, multimodal dataset
Seth Boren	UTHEALTH	DTI, ASL, 3D-T1w
David Borensztajn	University of Amsterdam	Machine learning, MRI, CNN, Brain disease
Pedro Borges	King's College London	MR Segmentation, Deep learning
Polina Borisova	NRU HSE	Topological data analysis, persistent homology, combinatorial Laplacians
arezoo borji	amirkabiruniversity	alzheimer-diagnosis-prediction
Kushal Borkar	International Institute of Information Technology, Hyderabad	f-MRI dataset
Kamil Borkowski	UC Davis	Bile Acids
Léonie Borne	University of Newcastle	Anatomy, structural MRI, cortical sulci, machine learning
matthew Borzage	CHLA/USC	USC Students
Iris Bosch	University of Gothenburg	PET MRI biomarkers
Christian Boschenriedter	Heinrich-Heine-Universität Düsseldorf	Parkinson's disease, machine learning
Shirsha Bose	Jadavpur University	Found
Aditya Bose	Manipal University Jaipur	GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data
chandran bose	NIELIT	alzheimers data
Marcos Bosques	Florida International University	neural networks; machine learning; classification;
Matjaž Boštic	University of Ljubljana	FDG-PET, Dementia, neurodegenerative illness
Nicholas Bott	University of California San Francisco	cognitive aging; structural imaging; inflammation
Leslie Botti	University of Michigan	PET QC search download
NOUHAILA Bouanane	The university of jordan	Alzheimer
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
mohamed bouizakarne	vub	Alzheimer
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
Samira Bouyagoub	Brighton and Sussex Medical School	dementia image processing
Olfa Bouzidi	fsm	Deep learning
Emily Bove	Cogstate	Cogstate
Jeffrey Boward	University of Arizona College of Medicine Phoenix; Banner Alzheimer's Institute	white matter hyperintensity volume; hippocampal/ventricular volume; Alzheimer's
Spencer Bowen	UT Southwestern Medical Center	PET, quantification, simulations
Zheng Bowen	Shenzhen Institutes of Advanced Technology，Chinese Academy of Sciences	Deep Learning
liang boxu	hunan university	MR,CT
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
Rory Boyle	Massachusetts General Hospital	Resistance, Resilience, Sex Differences, Neuroimaging, PET
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
Jennifer Bramen	Pacific Neuroscience Institute Foundation	Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), Gaussian Naive Bayes
Nadia Brancati	National Research Council of Italy	image processing
Valentina Brancato	IRCCS SDN	DICOM
Marcus Branch	Federal University of Santa Catarina	scientific research, dataset
Lodewijk Brand	Colorado School of Mines	haploview, plink
Abby Brand	Washington University School of Medicine	Plasma AB, FNIH, amyloid PET
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
Elizabeth Breen	Fordham University	Latinx, neurocognition, cultural neuropsychology, functional status, ethics
Noa Bregman	Tel Aviv Medical Center	verbal fluency
Emily Brenner	Vanderbilt University Medical Center	AD, FDG PET, Thalamic uptake
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
Melissa Bristow	Microsoft Research	machine learning, segmentation
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
Thad Brown	Personal Interest	pydicom
Jarrel Brown	Pennsylvania State University	fMRI
Shael Brown	McGill	Connectome harmonics, Manifold learning
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
Antonio Brunetti	Polytechnic University of Bari	Explainable Deep Learning; Neurodegenerative Disease
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
weixiao bu	Weifang Medical University	propensity scores
Zhiqi Bu	University of Pennsylvania	Missing value imputation
Giovanna Bubbico	ITAB, Institute for Advanced Biomedical Technologies	DTI bilingualism normal aging
OMONIGHO BUBU	UNIVERSITY OF SOUTH FLORIDA	sleep deprivation, Alzheimer's Disease, beta-amyloid
Marco Bucci	University of Turku	Machine learning, radiomics, dementia, prediction
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,
Sanjay Budhdeo	University College London / National Hospital for Neurology and Neurosurgery	molecular factors, connectivity
Shibani Budhraja	UNIV.AI	risk prediction, convolutional neural networks, ensemble learning,
Valentin Buehler	University of Zurich	Interpretable AI
Kauê Bueno	Universidade São Judas Tadeu	#deeplearnig #machinelearing #alzheimer
Virginie Buggia-Prevot	Valo Health	Neurodegeneration, drug discovery, machine learning
Duc Toan Bui	Sungkyunkwan University	GAN
Duc Toan Bui	Sungkyunkwan University	synthetic image, cycleGAN
DANH bui	hufi	DNN
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
Avram Bukhbinder	McGovern Medical School of University of Texas Health Science Center at Houston	Structural, Diffusion, NDDs, NPH
Baidar Bukht	University of Rostock	CNN
Santi Bullich	Life Molecular Imaging GmbH	florbetaben SUVR cutoff
Brendan Bullivant	University of California Santa Barbara	Machine Learning
Shogyoku Bun	Keio University School of Medicine	amyloid β, p-tau181, NfL, plasma biomarkers
Saurabh Bundela	Jabalpur University	Deep Learning, Image Analysis, Genetic and Proteomics biomakers
Aekapop Bunpeng	Burapha University	Alzheimer 's disease classification , cnn
Kaileigh Bunting	Cognitive Neuroscience of Schizophrenia Lab	fMRI, MRI, CPCA, BOLD,
Brady Burgess	Alector	microglia
Ninon Burgos	University College London	PET synthesis
Haroon Burhanullah	Johns Hopkins University	Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging
Michael Burkhart	University of Cambridge	machine learning, trajectory modelling
Douglas Burman	NorthShore University HealthSystem	hippocampus, fMRI, connectivity, PPI, cognitive control, sensorimotor, language
Thomas Burnand	Birkbeck University of London	Alzheimers Machine Learning
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
Martina Buscema	DINOGMI	degree
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
Tracy Butler	Weill Cornell	ASL
Paul Butler	Biogen	neuropsychology, Alzheimer's disease, MCI, aging
Peter Buto	University of California - San Francisco	MRI, Alzheimer's Disease/Related Dementias,
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
Sreelakshmi C	htic	Deep learning
Neerav C	MUJ	Machine Learning, Early Detection, Study
Keerthika C	vit	ALZHEIMER, DEEP LEARNING, IMAGE PROCESSING
safna c a	CUSAT	Gene expression data
Kiran C.R	jss science and technology university mysore	MRI images, Alzheimers,
Hebert Caballero	University of Alberta	episodic memory, biomarkers, random forest
Ivette María Cabana Pérez	Cuban Center for Neurosciences	Database, models, disease progression, aging
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
Alexandre Cafaro	TheraPanacea	Multiple sclerosis, healthy, inpainting
Refsi Cahya	Brawijaya	brawijaya
Samuel Cahyawijaya	HKUST	deep neural network, alzheimer disease, sequence modeling
Yudong Cai	College of Animal Science and Technology	Type II diabetes, hippocampal
Fanco Cai	CQ	1
Hongjie Cai	Shanghai Jiaotong University	AD/MCI diagnosis, deep learning
Lingrui Cai	Ann Arbor Algorithms	autoencoder, unsupervised learning, feature extraction
Hanlin Cai	Sichuan University, West China hospital	mother39
Yan Cai	Taizhou First People's Hospital	Alzheimer's Disease; CSF; biomarkers
bingyang Cai	SJTU	AD MRI PET
Chao Cai	University of South Carolina	Survival Cure model, Alzheimer’s disease, Anticholinergic drug, AD Biomarker
Congbo Cai	Xiamen University	Image reconstruction, Multimodal image, Deep learning
Shangyu Cai	Szu University	AD FMRI
yuan cai	Chinese university of HongKong	plasma biomaker ,AD pathology
Guoen Cai	Union hospital	neurodegeneration，APOE,DTI
Hailin Cai	Chongqing University	AD,
Jiahui Cai	stu	AD
Jinhua Cai	Sun Yat-sen Memorial Hospital, Sun Yat-sen University	lipids, apolipoprotein, cognition
Chunting Cai	Xiamen Univeersity	cct724724
Miaochun Cai	Guangdong Provincial Hospital of Chinese Medicine	Machine learning, Alzheimer’s diseases, Biomarkers, Neuroimaging
Jiachen Cai	University of Cambridge	high-dimensional biomarkers; clustering; factor analysis; gaussian process
Guo en Cai	Union hospital	apolipoprotein E，β-amyloid ，neurodegeneration，AD
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
Doren Calliku	University of Pavia	machine learning, ensemble, biomarker
James Calo	Imperial College London	Machine Learning GAN Pix2Pix CycleGan Federated Rival Segmentation
Frederic Calon	Universite Laval	Alzheimer
Rui Camacho	Faculdade de Engenharia da Universidade do Porto	Multi-Relational Data Mining
Eduardo Camacho	UPV	Artificial Intelligence, lesion segmentation
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
Silvia Campanioni	Hospital Álvaro Cunqueiro	Deep learning, classification, structural and functional magnetic resonance imag
Irina Campbell	The University of Strathclyde	Alzheimer’s disease; psychotic symptoms; behavioural symptoms
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
Irene Cannistraci	La Sapienza University	artificial intelligence, deep learning, prediction, prevention
Samuele Cannucci	University	CNN
Juan Cano	Uniandes	Machine learning, Diagnoses
Juan Camilo Cano Londoño	Universidad de Antioquia	DTI, FREE WATER, MRI
Antonio Cano Montes	ULisboa	medical deep learning
Tancredi Canonico	Talento47 sas	AI, machine learning, early diagnosis
Ana Canosa	UNSAM	Alzheirmer
Jose L. Cantero	Pablo de Olavide University	sleep2019
Christelle Cantet	Gerontopole CHU Toulouse	omega-3, cognitive function
Shyu Cao	UESTC	AlextNet for AD prediction
Yuzhu Cao	University of Science and Technology of China	Image Registration
Xuexiang Cao	Philips	Alzheimer, deep learning
Jiahang Cao	Imperial College London	Alzheimer's disease, deep learning
Bo Cao	University of Texas Health Science Center at Houston	Machine learning
Bing Cao	university of north carolina at chapel hill	medical image synthesis
Lingcan Cao	Xi'an Jiaotong University	brain network dynamics, default mode network
Jiahang Cao	Beihang University	deep learning model
Yan Cao	University of Texas at Dallas	image analysis
Jiguo Cao	Simon Fraser University	brain network, QTL mapping
hongjun cao	YanShan University	数据
yingli cao	Jiangnan University	study
Eric Cao	Albert Einstein College of Medicine	AI, CNN, amyloid-beta
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
Xingyu Cao	UESTC	dynamic MRI, deep learning
Yu Cao	Beijing University of Technology	multimodal data, Alzheimer's disease, accurate diagnosis
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
oriol caravaca	Universitat Oberta de Catalunya	CNN dementia
Alba Carballo Castro	University of Seville	Machine Learning, Explainability, Causality
Chiara Carbone	Università degli Studi di Modena e Reggio	Hippocampus, PhD
Valerie Cardenas Nicolson	Palo Alto VA	fMRI, DTI, T1, rTMS
emilse cardona	43629684	Alzheimer
Heitor Cardoso	Institute for Systems and Robotics	machine learning, psychology
Sasha Cardozo	Kalinga Institute of Industrial Technology (KIIT)	Alzheimer's, Dementia, Cohorts, Image Processing, Transcriptomics, Biomarkers
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
Alessia Carotenuto	Università La Sapienza di Roma	Alzheimer -MCI - Thesis
Carolina Carpio	uc3m	ML
Valerie Carr	San Jose State University	teaching
Thomas Carr	University of East Anglia / Norfolk & Norwich University Hospitals	Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
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
Vítor Carvalho	IF SUDESTE MG	MRI Image, Machine-learning, Alzheimer's Disease
Sofia Carvalho	Universidade do Minho	neuroimaging, mri, alzheimer, prediction
Alexandra Carvalho	Instituto Superior Tecnico	Time series analysis
Greg Cary	Jackson Laboratory	genetic association, drug targets
Mariano Casado	Ecole normale superieure	Glutamate receptors, Glycine receptors, Orphan receptors
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
Kim Casey	Washington University	ADOPIC
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
Camila Castaño	Universidad Tecnológica de Pereira	deep learning, neural network, degenerative disease
Hector Castellanos	Cuban Neuroscience Center	Supervised Learning, 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
Antonio Manuel Castilla Rubia	Universidad de Granada	Computer Vision, Machine Learning, Alzheimer, 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
Nagihan ÇEKİÇ	Düzce University	Machine learning, deep learning, academic study
Selahattin Barış ÇELEBİ	Batman University	computer aided diagnosis, convolutional neural networks; deep learning; image cl
Meliha Gizem Çelik	Istanbul Medeniyet University	deep learning, data analyze, machine learning, alzheimer diagnosis
Yunus Emre Celik	University of Paris	final project
Gaffari ÇELİK	Ağrı İbrahim Çeçen Universitesi	Alzheimer’s Disease, Deep Learning
Geraldine Celliere	Lixoft, Simulations Plus	MonolixSuite, NLME, case study
Leopoldo Cendejas Zaragoza	Summa Health	automatic segmentation, hippocampus, convolutional neural network
Stefano Cerri	DTU	segmentation atrophy
Ricardo Cerri	Federal University of Sao Carlos	machine learning, SNPs, Alzheimer Disease
Tess Cersonsky	Brown University	AD Risk, Machine Learning, Predictive Modeling
Marcela Cespedes	CSIRO	Cognitive accelerators and non-accelerators, AD disease sigmoid modelling
Hyunsil Cha	Kyunpook National University	fMRI
Hyunsil Cha	Kyunpook National University	MR image processing
Yoonjeong Cha	Immuneering	target identification, pathology, survival analysis, pathway analysis
Marwa Chaabane	Ecole nationale d'Ingénieurs de Sfax, TUNISIA	Alzheimer disease, fMRI, graph theory
Chahd Chabib	Khalifa University	deep learning
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
Wang Chai	University of Chinese Academy of Sciences	right-censored covariate
Wang Chai	University of Chinese Academy of Sciences	Partial functional linear model; Model check; Real data analysis
Jingchen Chai	University of Alberta	BMI Alzheimer’s diseases
Sitthichok Chaichulee	Prince of Songkla University	Deep Learning, Mild Cognitive Impairment, Normal Control
Kalayanee Chairat	King Mongkut's University of Technology Thonburi	GWAS
yanawut chaiyo	mfu	classification , dementia
Moumita Chakraborty	The University of Texas MD Anderson Cancer Center	Statistical modeling; Network; Genomics; Brain imaging;
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
Kannie WY Chan	City University of Hong Kong; The Johns Hopkins University School of Medicine	MRI, AD, deep learning
Elaine Wan Ling Chan	International Medical University	SVM classifier for the determination of progressive deterioration of AD
Katie Chan	City University of Hong Kong	Molecular epidemiology and bioinformatics
Eldon Chan	University of California, Berkeley	Deep Learning, Alzheimer's Recognition and Prediction
Jason Chan	University of Calgary	Gene expression, amyloid, tau, neurodegeneration, PET, MRI
Tao Chan	Tsinghua Shenzhen International Graduate School	AD, hippocampus, deep learning, diagnosis
CANDACE CHAN	UNIVERSITY OF CALIFORNIA, SAN FRANCISCO	diagnostic tests, biomarkers, early detection, genetic
Yi Hao Chan	Nanyang Technological University	Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets
Christina Chan	Michigan State Univ.	NCI-DREAM 8.5
Huang Chan-Yi	Acer	Brian MRI
Steven Chance	Oxford brain diagnostics	MRI, DTI, AD, MCI
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
Subhadeep Chandra	National Institute of Technology, Durgapur	CNN
Avinash Chandra	King's College London	Alzheimer's disease; amyloid; tau; genetics
GAURI CHANDRA	IIT, Delhi	Alzheimer's Disease, Neuroscience, Optimal Controller
Dinesh Chandra	MNNIt, Allahabad, UP, India	AD
mahi chandrakar	nit raipur	dep learning
Ganesh Chandrasekaran	University of Pennsylvania	CSF, Biomarkers, Cognition
Timothy Chang	University of California, Los Angeles	Rare variant analyses, genetics, whole genome sequencing
Can Chang	Being Normal University	neuroImage; deep learning;disease prediction
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
Minyu Chang	Cornell University	Fuzzy-trace theory; factor analysis
WeiTang Chang	UNIV OF NORTH CAROLINA AT CHAPEL HILL	dMRI
hsin-wen Chang	National Tsing Hua University	Alzheimer
HanI Chang	Ajou	AD
RUI CHANG	University of Arizona	Alzheimer's, Sex difference
JUDY CHANG	Chang Gung memorial hospital	AI
Ya-Hsuan Chang	University of Kentucky	Data analysis
ali chang	Advantech	alzheimer
Kai CHi Chang	National Yunlin University of Science and Technology	reserch CNN
Ya-Ning Chang	National Cheng Kung University	Interpretability; Machine Learning
Jeryn CHang	The University of Queensland	Hypothalamus; BMI; DWI
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
zhang chao	Taiyuan University of Technology	Alzheimer's disease
wang chao	North University of China	Wl940414.+0
wang chao	fujianyikedaxue	study； Alzheimer's disease；clinical manifestations
bu chao	DONGHUA UNIVERSITY	AD
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
Ma Chaoran	Changzhou University	fMRI Beginners
Aymen Chaouch	LABTIM	image fusion
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
PUBALI CHATTERJEE	UNIVERSITY OF CALCUTTA	Image Segmentation
Soumick Chatterjee	Otto von Guericke University Magdeburg	deep learning
Abhinaba Chatterjee	Weill Cornell Medical College	Deep learning
Dimitrios Chatzakis	University of Patras	computer vision, deep learning
Wing Fung Chau	Cardiff University	Big Data, lipids and metabolites
Shefali Chaudhary	Yale School of Medicine	Alzheimer's disease, apathy, imaging
Kapil Chaudhary	Albert Einstein Medical College of Medicine	ROIs, Seed, Striatum, Frontal Cortex
Madhav Chaudhary	Coventry University	Deep Neural Networks, Alzheimer's, Machine Learning, Data Science
Kavita Chauhan	UIET PU chandigarh	alzheimer disease MRI PET
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
Hernan Chaves	Fleni	Hippocampal subfields
Caitlyn Chavez	chapman university	Deep Learning, ML Pipeline, Explainable AI
Tisha Chawla	Vellore Instittute of Technology	Alzheimer's Attack, Genetic Algorithm, CNN
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
Eu Joe Chegne	University of Queensland	Binary Classification, Perceiver Transformers
qiuhui chen	Shanghai Jiao Tong University	Spatial-Temporal GCN; Transformer
Yi Chen	CLA Technology Co., Ltd	Machine Learning, Deep Neural Networks, Early Screening of AD
Tao Chen	Hefei University of Technology	Deep learning, machine learning
Xinqi Chen	Guangdong University of Technology	computer vision, generative adversarial networks, synthesis of medical images
Fang Chen	jackson state university	image deep learning Alzheimer's
yaru chen	Jiangsu university	Health analysis
Xiaocong Chen	The University of New South Wales	Early Detection, Machine Learning
liangming chen	Lanzhou University	neural network, deep learning, Alzheimer
Bocheng Chen	huazhong university of science and technology	graphic analysis, PET
Jinglong Chen	Guangzhou First People's Hospital ,South China University of Technology	MCI,dementia,VBM, DTI, functional connectivity,DFPLC
Yuzhong Chen	UESTC	CNN AD
Zihao Chen	Shanghai Jiao Tong University	MCI AD predicting model
Yuchao Chen	WellSIM Biomedical Technologies Inc	extracellular vesicles
saiyuan chen	重庆邮电大学	study
Hao Chen	Shandong University of Finance and Economics	Brain Network Analysis, Alzheimer's disease, Classification
futao chen	Nanjing Drum Tower Hospital	AD,SCD,fMRI
William Chen	MagQu LLC	Longitudinal study, differentiate diagnosis, neurodegenerative diseases
Zixuan Chen	Sun Yat-sen University	Medical Image Reconstruction, MRI
Sherry Chen	The University of Sydney	Frontotemporal dementia, longitudinal, neural correlates, cognition
qiang chen	Donghua University	segmentation
Yu-Chi Chen	Monash University	cortical morphology, machine learning
Li Chen	University of Washington	Image processing
jingyi chen	nanchanghangkonguniversity	MRI， brain segmentation
yulong chen	zhengzhou university	MRI hippo subfeild segmentation
Rongqin Chen	Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences	direct and indirect structure-function causal influence in brain
Geng Chen	Inception Institute of Artificial Intelligence	hippocampus segmentation
EDDIE CHEN	Stony Brook	machine learning, AI, MCI, AD
Xiao Chen	Amy Medical University, Daping Hospital	Amyloid PET, Alzheimer’s dementia, Amyloid staging
Huan Chen	Johns Hopkins Bloomberg School of Public Health	FDR control, variable selection
Irene Chen	MIT	machine learning, subtypes, disease progression
kai chen	Xijing University	medical image analysis
Lin Chen	Johns Hopkins University	MRI, PET
Christina Chen	University of Pennsylvania	Statistics, imaging
Shuang-Qing Chen	the Affiliated Suzhou Hospital of Nanjing Medical University	Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning
Shu Chen	North East University	iconography
Ziyi Chen	University of Washington	AD
JIANGWANG CHEN	SUNY BUFFALO	MRI
Guangxin Chen	University of Auckland	research
wang chen	Xinxiang Medical University	fmri;Age predicts
Yingchuan Chen	Beijing Tiantan Hospital	PD, fMRI, machine learning
Li Chen	Indiana University School of Medicine	GWAS, functional analysis, meta-analysis
Junjie Chen	Temple University	computational methods, integrative analysis, casual factors
Siyi Chen	U of MN	GWAS
haoyuan chen	Northwest Normal University	predict onset time, deeplearning
Hao Chen	Peking University	gene expression, rs-fMRI, Functional Network, Integrative Analysis
kehua Chen	shantou University	radiomics, deep learning, genomics research
Xiao Chen	Nan Jing Agricultural University	Disease development
Gianna Chen	Shanghai Jiao Tong University	none
Qiufeng Chen	Fujian Agriculture and Forestry University/China	functional connectivity
Ziyi Chen	Carnegie Mellon University	Machine Learning coursework project
changhao chen	National Central University	CNN SVM LR
Keping Chen	Southeast University	AD； circular RNA
Jason Chen	Bioclinica	Testing algorithms
Ling Chen	Zhejianglab	Graph convolutional network
durong chen	shanxi medical university	Parkinson
Ming-Hui Chen	University of Connecticut	Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
SHAOBO CHEN	Jinan University	colorization;regions segmention;unsupervised learning
Xi Chen	University of Rochester Medical Center	APOE
yanghui chen	tongji hospital	biomarkers
Sophie Chen	Beijing University of Technology	fMRI classification
Shanshan Chen	the Affiliated Brain Hospital of Nanjing Medical University, Nanjing	Alzheimer's disease;Mild cognitive impairment;Subjective cognitive decline
Lele Chen	Nanjing University	fmir, lifestyle, AD, Comorbidity, brain network
Yuanyuan Chen	Northwestern Polytechnical University	Alzheimer’s disease; Mild cognitive impairment;Deep learning
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis
Yanghaoyu Chen	UF	Machine learning
Ke CHEN	University of Nottingham	machine learning, early diagnose
LINFENG CHEN	sixth affiliated hospital of sun yat-sen university	3D slicer
bowen chen	Tongji University	course project, deep learning, Alzheimer's disease
meidi chen	Shanghai Jiao Tong University	FDG AV45
Jiu Chen	Nanjing Medical University	AD, aMCI, DTI, sMRI, fMRI
Michelle Chen	Rutgers University	Intra-individual variability
Keyu Chen	Liaoning Normal University	Resting state; dynamic; fMRI; Classification
Haifeng Chen	Affiliated Drum Tower Hospital, Nanjing University Medical School	memorry function; rTMS; multimodal neuroimaging
Xiao Chen	Beijing Normal University	Alzheimer’s disease,defalut mode network
Chih-Chieh Chen	CGMH	AD
Bingzhen Chen	University of Florida	statistical modeling
zhou chen	HIT(Harbin Institute of Technology)	research deep_learning
Yujie Chen	Wuhan University of Science and Technology	Alzheimer's disease, Early diagnosis, Conversion prediction
Quan Chen	wuhan union hospital	freesurfer
Yihe Chen	Second Affiliated Hospital，Zhejiang University School of Medicine	perivascular space
Xi Chen	Sun Yat-sen University Cancer Center	Limit sample size; Meta-learning; Model pretraining
Jiawei Chen	Guangzhou Medical University	AD
wu chen	Huazhong University of Science and Technology	image processing
Yi Chen	Zhejiang University	genes, AD, tau, beta-amyloid
Yiming Chen	University of Maryland	neural network
sijie chen	Yitu healthcare technology	AD, classification, CNN
Fangzheng Chen	Shanghai Jiaotong University School of Medicine Ruijin Hospital	cognition AD
shouyan chen	Guangzhou University	AI; Alzheimer detection
Gavin Chen	Tianjin University of Technology and Education	czc960229
wenhong chen	Jilin university	Neuroimaging，Alzheimer's disease，Genes
jiamin chen	GDUT	segmentation
Guan Wen Chen	NTHU	Alzheimer
Xue Chen	Shandong University of Science and Technology	Alzheimer, Deep Learning, Medical Image Analysis,Computer Science
YINGJIA CHEN	Genentech	safety
Bin Chen	Tongren hospital of wuhan university	ApoE, AD, brain, cognition
HongGuai Chen	NCU	BDBC-2020
Baolin Chen	Shanghai Uiversity of Finance and Economics	functional data analysis, samples of density functions
Gengsheng Chen	Washington University in St. Louis	amyloid, gwas
Rong Chen	University of Maryland School of Medicine	machine learning
Ting-Huei Chen	Laval University	structural equation modeling
Qianyun Chen	The Chinese University of Hong Kong	deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Zhuo Chen	University of Arizona	Data integration
xiaotong Chen	huashan hospital of fudan university	Alzheimer's disease; biomarker; blood-based
HONGKAI CHEN	Juntendo University	Life1Dream
Ruijia Chen	University of California, San Francisco	biomarker studies
Zebin Chen	Sun Yat-sen University	regression, classification, joint learning, model, visual, interpretable
Hongyu Chen	Zhejiang University	computer graphics; Medical Imaging
naijin chen	Anhui Polytechnic University	Medical image analysis
tao chen	south medical university	联合基金
Kevin Chen	National Taiwan University	deep learning, PET/MRI
Qian Chen	Nanjing Drum Tower Hospital	Subjective memory complaint, Neuroimage, Biomarker
Lin Chen	Johns Hopkins University	MRI, PET
Jinyang Chen	University of Georgia	Deep Learning, Machine Learning, Disease Diagnosis, Classification
Xiaozheng Chen	Xiamen University	neuroimaging, dynamic functional connectivity, deep learning,
huachang chen	Vanderbilt University Medical Center	imputation; methodology; evaluation; bioinformatics
Eric Chen	Indiana University School of Medicine	Tau, Braak regions, PET
Xiang Chen	University of Leeds	Image Registration, Deep learning
Gang Chen	Medical College of Wisconsin	fMRI, MRI
Aidi Chen	Communication University of China	Brain tumour
Tao Chen	Hefei University of Technology	Deep learning, machine learning, classification
Weixiang Chen	Tsinghua University	MRI diagnose, Alzheimer diagnose
GUILIAN CHEN	SHENZHEN UNIVERSITY	unsupervised segmentation
Chang Chen	Nanjing Drum Tower Hospital, Medical School of Nanjing University	neurologist
Jingyun Chen	NYU School of Medicine	PET, Tau, Abeta, normalization
Huimin Chen	Beijing Tiantan Hospital, Capital medical university	cognitive impariment, perivascular space, Abeta/tTau
Tianhua Chen	University of Huddersfield	fuzzy systems, convolutional neural network, clinical decision support
Danni Chen	UCLA	deep learning, medical imaging, explainable AI, attention model
Shuo Chen	National Innovation Institute of Defense Technology	deep learing, super resolution, medical imaging
Qingmeng Chen	Tokyo Medical and Dental University	DTI, 3D-T1, Multiple sclerosis
kunxu chen	Sun Yat-sen university	study
Hanyi Chen	University College London	subtype, disease progression, SuStaIn, AD
Zhi Chen	University of Electronic Science and Technology of China	computer vision, neuroimaging recognition, classification
Kefan Chen	university of sydney	Alzheimer's patients
Gan Chen	University of Louisville	Hidden Markov Model, Disease Progression
Kuan Chun Chen	National Taiwan University	deep learning, dementia, Alzheimer
Hui Chen	Shuguang Hospital	Alzheimer's Disease,functional connectivity
Zeyuan Chen	Shandong Normal University	Registration
Lin Chen	Chinese Academy of Scie	Alzheimer's Disease Prediction
zhaoming chen	Beijing Institute of Technology，Zhuhai	Image recognition
Yu-An Chen	National Yang-Ming University	Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Yu Chen	Central South University	Do some researches about the AD
zhenzuo chen	Ningbo University	Intelligent diagnosis
Yu-Jen Chen	National Tsing Hua University	Machine Learning, Disease Prediction
junchao chen	Beijing University of Astronautics	cjc20011224
Zhiying Chen	Capital Medical University	synaptic damage,Nfl
Shijie Chen	Xuzhou Medical University	PET, super-resolution, GAN, ML
Xin Chen	University of Nottingham	Longitudinal image feature extraction; disease diagnosis.
Siying Chen	BUAA university	study
runhuan chen	nanjing university of Posts and telecommunications	CNN-Transformer model
jiacheng chen	Zhejiang university of technology	MR image super resolution
Kevin Chen	Stanford University	multimodal imaging, image post-processing, spatial resolution
Jinxin Chen	Chengdu University of TCM	alzheimer，sleep disorders，fMRI
fangyi chen	Hebei University of technology	classification tasks
Tao Chen	HITSZ	AD, deep learning, diagnosis
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis, algorithm
Chao Chen	Stony Brook University	Image analysis, deep learning.
Wenli Chen	The First Affiliated Hospital, Sun Yat-sen University	growth hormone pituitary adenoma; cognitive function
jiaao chen	Queen's University	research
hongyu chen	shanghai Nyuen	fMIR, GCN
Xu Chen	SAS Inc	Machine Learning
wuyang chen	Central South University	multimodal,registration
Battle Chen	FZU	multi-modal
Jingchun Chen	UNIVERSITY OF NEVADA LAS VEGAS	Alzhemier's disease, polygenic risk score,
Dingfan Chen	max planck institute for informatics	Anomaly detection, deep generative model
yunjie chen	Nanjing university of information science and technology	brain mr images
YuCheng Chen	國立金門大學	NQUAI
Xinyuan Chen	Mississippi State University	functional analysis, survival models
minghao chen	East China Normal University	Causal Mediation analysis, MRI data，Alzheimer disease
Chang-Le Chen	National Taiwan University College of Medicine	Diffusion MRI, White matter, Fiber cross-section
hu chen	Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch	3D convolution，saliency maps,
Feng Chen	Harbin Engineering University	network analysis
Xin Chen	Shanghai East hospital, Tongji University, School of Medicine	Neurodegeneration, Alzheimer，cognitive impairment
Lihui Chen	Sichuan University	Academic study
Tao Chen	Wuhan University	Alzheimer’s Disease, visual features, MRI
Yihan Chen	Beijing University of Chinese Medicine	Cyh112800
Wei Chen	West China Hospital of Sichuan University	dementia, cardiometabolic risk factors, genetics
Hanxi Chen	Shanghai jiao tong university	causal discovery
Fangyao Chen	Xi'an Jiaotong University Health Science Center	influential factor; Alzheimer's disease;longitudinal analysis
Liang Chen	University of Macau	miRNA, biomarker
Chen Zi Yang Chen Zi Yang	Guangdong University of Technology	ADNI ; GAN; image segmentation
Feixiong Cheng	Cleveland Clinic	artificial intelligence (AI); radiogenomics; Alzheimer's genomics
Yuanjiang Cheng	Shanghai University of Finance and Economics	MRI, Alzheimer's disease
minjia cheng	Zhejiang University of Technology	AD
Xiaoqin Cheng	Zhongshan hospital	machine learning
Jiaqi Cheng	University of Canterbury	CNNs model interpretability
siyu cheng	shanghaitech	Alzheimer's disease features extraction
yongting cheng	Washington University in St.Louis	Segmentation; Diagnosis ;Deep Learning;VAEs-GAN
WEI CHENG	Southern University of science and technology	machine learning
Iris Cheng	Brown University	Alzheimer's, sex, apoe, cognition
Wai Ho CHENG	The Hong Kong Polytechnic University	AD and mild cognitive impairment
zhiwei cheng	N/A	research
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
YYUAN CHENG	JILIN UNIVERCITY	DATASET
ZHI HSIN CHENG	National Yunlin University of Science and Technology	Alzheimer’s disease machine learning
Hewei Cheng	Chongqing University of Posts and Telecommunications	multi-modality; classification
Greta Cheng	NA	ADNI dataset, classfication, 3D CNN
Xiaoqin Cheng	Zhongshan hospital	inflammation
XL Cheng	XMU	Image synthesis , Experiments , CGAN
Xiangyi Cheng	Summer STEM Institute	Alzheimer's, Machine Learning, Disease Screening
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
Yu Chenxi	China University of Geosciences	alzheimer's disease；Brain morphologic network system
pang chenxuan	bnu	123456aB
wang chenyu	zjut	research
Chenyu Shen Chenyu Shen	Hangzhou Dianzi University	scy19980415
sehyoung Cheong	POSTECH	AD, connectivity
ibtissem cherfa	université de Bejaia	01031950
Konstantin Chernukha	Temple University Health System	glymphatic pathway malfunction, dementia, screening
Srikanth Cherukuvada	SRM UNIVERSITY	Image classification, Alzheimer’s disease,Transfer learning, MRI,CNN
Narayan Cheruvu	University of Illinois Urbana-Champaign	multimodal, deep learning, LSTM, CDR
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
Nikunj Chhabra	Indian Institute of Technology Indore	small group learning, differentiable architecture search
Yash Rajesh Chhabria	University of California, Santa Cruz	Multimodal Search Engine
Utkarsh Chhapekar	Manipal Institute Of Technology	Prediction, Alzheimers, Deep Learning
Matthias Chhoeun	Colorado School of Mines	Data Science
Zhang Chi	Yanshan university	parkinson
CHIA-HSING CHI	National Taiwan University	episodic memory, hippocampal subfields, retention performance
Jingyi Chi	University of Pennsylvania	Deep Learning, GAN, MRI
lutong Chi	南京农业大学	这。。
zhang chi	china university	research
Chen Chi-ming	National Central University	gene mutation, machine learning, old-age insurance
Gloria Chiang	UCSF	DTI
Alessio Chiaramoni	Università degli Studi di Torino	Machine Learning university project
Brandon Chiazza	Yeshiva University	MRI, Alzheimer's, MCI, Artificial Intelligence
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
Ashish Chinthala	ABV-IIITM	Machien learning, deep learning
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
HSIU HUI CHIU	National Cheng Kung University	brain structure changes
HSIU HUI CHIU	AcroViz	image artifact
Yu Wen Chiu	Taipei Medical University	Alzheimer,early detection,assist decision-making,aging society
Sheng-Chieh Chiu	The University of Alabama at Birmingham	FreeSurfer segmentation
Hyuna Cho	POSTECH	brain connectivity
Soo Hyun Cho	Chonnam National University	SNAP
Hyewon Cho	UNIST	AD early detection, AI, ML, ensemble, multimodality, deep learning
Hyun Jae Cho	University of Virginia	knowlege extraction, machine learning, Alzheimer's disease
Sang Kyu Cho	University of Houston - Houston, TX	prognostic factors
hyugrae cho	samsung electronics	AI, machine learning
HyungJin Cho	University of Southern California	Alzheimer's Disease Neuroimaging Initiative (ADNI)
Dong Ho Cho	Korea Advanced Institute of Science and Technology (KAIST)	Machine Learning, Biomarker, Classification, Diagnostic
Youngbok cho	Daejeon University	Alzheimer's Dementia, MRI, PET, Protein Folding
Youngjoo Cho	The University of Texas at El Paso	Survival analysis, Prediction models
sang soo cho	Seoul National University	BrainAge, machine learning, OCD, Shizophrenia
Sang Yeon Cho	Medical School of Chungnam University	Alzheimer’s disease, microglial phagocytosis
Patricia Chocano-Bedoya	Bern Institute of Primary Care	metabolomics biomarkers dairy cognition
Sandra Chocron	UT Health San Antonio	ceramide catabolism
Mark Choe	NCIRE	Imaging, Processing
Young Min Choe	Dongtan Sacred Heart Hospital	Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
John Choe	OPKO	MCI
LEE CHOEL HUI	Korea University	Alzheimer's disease
Hongyoon Choi	Cheonansi Public Health Center	Metabolic network, FDG, Amyloid
Yera Choi	NAVER Corp.	deep learning, causal inference, multimodality
Woo Hee Choi	College of Medicine, The Catholic University of Korea	striatum, amyloid PET, tau PET
Yong-Ho Choi	hanyang university	Imaging genetics
Yu Yong Choi	Chosun University Hospital	ethnic differences, normal aging
hyujin choi	korea university	hyunjin
juyeon choi	kbri	database, web, analysis
byung hyug choi	KAIST / korea	machine learning, network embeddings, Alzheimer feature extraction
Junghwan Choi	.	.
changwon choi	Seoul National University	DTI, SPD, partially linear additive model, Lie groups
Uksu Choi	Chosun University	Cortical thickness, VBM
James Choi	Sabio Research	Alzheimer Machine Learning Neural Networks
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
Junsik CHOI	Korea Univ.	Deep learning
Bo Kyu Choi	Yonsei university	prediction model
Tae-Min Choi	KAIST	Deep learning, classification, early diagnosis
duck ho choi	Sung Kyun Kwan Univ.	Alzheimer
Eun Young Choi	Stanford University	thalamus, rsfMRI
Sunghoon Choi	Korea Research Institute of Standards and Science	Generative adversarial network, synthetic PET
ByungWook Choi	Daegu Catholic University School of Medicine	PET, serum markers, AST, ALT, ALP, Calcium, TFT
Jungwon Choi	KAIST	sMRI, Classification, Breain disease
Jae Won Choi	Armed Forces Yangju Hospital, South Korea	MRI, deep learning, Image-to-image translation
Yoon Seong Choi	Severance Hospital, Yonsei University College of Medicine	Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
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
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
zheping chou	First affiliated hospital of Suzhou University	multi-modal imaging markers cognitive decline.
YIYU CHOU	CNRM	segmentation
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
Dhruv Chovatiya	BITS	CNN
Kwan-Yin Chow	National Taiwan Normal University	Dataset , Skull stripping
Sulogna Chowdhury	Kansas State University	Data Science
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
Aneeta Christopher	National Institute of Technology Calicut	MR imaging, Denoising, Deep Neural Networks, MemNet
Aneeta Christopher	National Institute of Technology Calicut	medical imaging, MR images, Deep Neural networks
Nicholas Christopher-Hayes	UC-Davis	Neuroimaging, neuropsychololgy, hippocampus, memory
Julia Christy	Newcastle University	neuroscince
Jiebin Chu	Zhejiang University	Individualized treatment effect,Causal inference, Off-policy evaluation
Chientiao Chu	Hangzhou Dianzi University	AD;Music;EEG;FC
Nan Chu	National Central University/CWLab International	brain image data bank, AI analytics, neurotechnology
Winston Chu	University of Florida	diffusion MRI, AD, free water, basal forebrain
Wang Chu	Nanjing University of Science & Technology	imaging data
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
Vivian Chu	Queens College, CUNY	Serial Position Effect, cognitive marker, tau, biomarker, conversion
Russ Chua	Institute for Infocomm Research	computer vision
Joshua Chuah	Rensselaer Polytechnic Institute	statistics, proteomics, metabolomics, machine learning
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
Timothy Chun	Veteran's Affairs	Machine Learning
Min Young Chun	Samsung Medical Center	Alzheimer's disease
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
Julian Chung	Nanyang Technological University	Machine Learning
Yunro Chung	Arizona State University	Biostatistics; biomarker
Jaeyoon Chung	Boston University School of Medicine	GWAS CSVD stroke ICH
Hyun Jy Chung	Stony Brook University	FWER
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
Claire Ciampa	Brandeis University	atrophy, structural MRI, COMT, DRD2, executive function, memory
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
David Clark	Indiana University	Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency
James Clark	Diadem	Prognostic, Diagnostic, Biomarkers, CN, MCI, AD
Andrea Clark-Sevilla	Johns Hopkins APL	precision medicine, brain biomarkers
Natasha Clarke	CRIUGM	functional connectivity, MRI
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
Alexander Clifford	University of East Anglia	Machine Learning, Longitudinal Analysis, Alzheimer’s Disease, Neuroimaging
James Clifford	college of san mateo	Alzheimer's disease
Sharlee Climer	University of Missouri - St. Louis	Alzheimer disease, combinatorial optimization
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.
Mariana Coelho	FEUP	Fundaments of Image Processing & Analysis; Medical Imaging; Machine Learning; De
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
Sigal Cohen	Bar Ilan University	Alzheimer's blood pressure
Brett Cohen	King's College London	MCI, MRI, phantom
Cynthia Cohen	California Southern University	Alzheimers
Isabelle Cohen	The Potomac School	AD, immune system, CSF
Sara Colantonio	National Research Council of Italy	Artificial Intelligence in Medical Imaging, Explainable AI, Causal Discovery
Michael Colbus	Liquid Biosciences Inc.	Synapse, validation, insights
James Cole	Imperial College London	Aging, Machine learning, T1, DTI
Jaila Coleman	UCLA Health	Upload Images
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
Tommy Collins	Emerald Labs	machine learning
Fraser Collins	Logicearth Services	Alzheimer's Imaging
Anthony Colombo	University of Southern California	anthony r colombo
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
He Cong	Jiangnan University	image registration; Alzheimer's disease
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
Joey Contreras	USC Keck School of Medicine	Inflammation, conversion, APOEcarrier
Silvia Contreras	Universidad Autonóma de Ciudad Juárez	alzheimer image processing dementia mri
Andrea Conway	Indiana University	connectomics, brain networks
Nick Cooper	Technology company	EEG
Michael Coopman	University of Texas at Arlington	Medical image registration, Image segmentation, Voxelmorph, Deep learning
selene copal	Avans	Alzheimer
Thomas Cope	University of Michigan	machine learning
Gianfilippo Coppola	Yale University	deep learning, AD subtypes
Caitlin Corbin	Indiana University - Bloomington	MRI
Philippine Cordelle	Telecom Paris	Impelmentation of Alzheimer's disease progression score for my Master
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
Filippo Corponi	University of Edinburgh	machine learning; imaging-genomics
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
Anne-Caroline Cosendai	Universitätsklinikum Tulln	Repositories, clinical trial
Josh Cosman	Abbvie Inc.	Cognition, Modeling, Longitudinal Change
Beatrice Costa	University College London	r programming, neurodegeneration, workshop
Marisa Costa	Universidade de Vaeiro	Picotinho1**
Ana Sofia Costa	University Hospital RWTH Aachen	amyloid deposition, microangiopathy, microbleeds, phenotype, progression
Bruno Costa	USP	CNN
Antonio Costa Freire	University of Warwick	Alzheimers
Harry Costello	University College London	Depression, Alzheimer’s
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
Jordyn Cowan	Brandeis University	COMT, DRD2, cortical thickness, Alzheimer's
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
Paul Crane	University of Washington	mediation, alzheimer's, biomarkers
Breanna Crane	Vanderbilt University	Atrophy, Connectivity, MCI
Skyler Cranmer	The Ohio State University	functional connectivity, deep learning, exponential random graph models, LSM
Karen Crawford	USC	That
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	University of Zurich	radiogenomics
Alessandro Crimi	Sano center for computational medicine	snp, genomics, tractography
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
Heloiza Cruz	PUC MINAS	alzheimer's
Erica Cruz	Old Dominion University	Machine Learning, Deep Learning, Alzheimers Disease
Madelyn Cruz	University of the Philippines	Graph Theory
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
Gábor Csukly	Semmelweis University	MCI, Alzheimer's Dementia, Vascular Risk Factors
Brian Cuestas	Universidad de Los Andes	MRI, Deep learning
pengcheng cui	Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences	brain atlases
kunpeng cui	ZhengzhouUnivercity	medical image registration
xiaonan cui	hangzhou dianzi university	one class classification
Ying Cui	Jiangsu key Lab of molecular and functional imaging, Southeast University	diabetes, MRI, dementia, risk factors
Can Cui	Vanderbilt University	Multi-modality learning
Jing Cui	Centre hospitalier universitaire vaudois	The Human Brain Project
Wanxin Cui	Central South University	AD
Wenxuan Cui	University of Nottingham	MCI, MRI, Machine Learning
CAOZE CUI	SHANXI MEDICIAL UNIVERSITY	images MRI pet
jian cui	Institute of Automation，Chinese Academy of Sciences	Scientific research, AI medical diagnosis
Licong Cui	The University of Texas Health Science Center at Houston	Informatics tool, ontology, hypothesis generation
Dong cui	1978	cd_ggh100200
JIANAN CUI	Massachusetts General Hospital	medical image processing
derek cui	PUMC	Hippocampus, thalamus, amygdala subregion
Yuhan Cui	University of Pennsylvania	AI; AD; neuroimaging; genetics; cognition; machine learning
Jing Cui	GSK	endophenotype GWAS, subtype AD
Tolga Cukur	Bilkent University	Learning-based registration
Kamryn Cullen	George Mason University	Biomarkers, Data Analytics, Health Factors
Nicholas Cullen	Lund University	clinical trials, power analysis, screening, enrichment
Nicholas Cullen	Lund University	plasma
Irene Cumplido Mayoral	BarcelonaBeta Brain Research Center	amyloid, machine learning, prediction, classification
Charles Cunningham	University of Toronto	13C lactate ANLS
Isabel Curioso	Associação Fraunhofer Portugal Research	Multimodal, machine learning, missing inputs
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
VIJAYANAND D	NANYANG TECHNOLOGICAL UNIVERSITY	TDA
Abirami D	Sri G.V.G.Visalakshi college for women	Alzheimer disease, Data set
Nakul Pranao D	Kumaraguru College Of Technology	Alzheimer's Disease Prediction
Inbasagar D	Sathyabama Institute of Science and Technology	Alzheimer, CNN, Deep learning,
Saai Sudarsanan D	SASTRA Deemed to be University, Thanjavur	Data Analytics, CNN Algorithms, Machine Learning, GatesNotes
SREEDEV D	CommScope Inc. is an American global network infrastructure provider company bas	MRI
ty d	Shanghai Maritime University	fMRI
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,
Xiao Da	Cognito Therapeutics	data analytics
Bendan Da	Beijing University of Technology	Alzheimer's Disease
Ling Da	Ningbo University	machine learning、CS
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
Davod Dadravan	Tabriz univercity	Rest state 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
SAVITA DAHIYA	Galgotias University	Hippocampus, Alzheime's disease, region based, clustering
Robert Dahnke	University Aarhus	gyrification
Zhengjia Dai	Sun Yat-sen University	Alzheimer's disease; functional connectivity; structural connectivity
yl Dai	Central South University	Multimodal Data Analysis; Diagnosis of Alzheimer's Disease
yulin dai	University of Texas health science center at Houston	GWAS, CSF tau concentration, AD
Wei Dai	Chinese PLA General Hospital&Chinese PLA Medical School	deep learning; functional network;Independent Component Analysis
songmin dai	Shanghai University	positive-unlabeled learning
Qi Dai	Beijing University of Technology	Research needs
Haixing Dai	University of Georgia	NAS PET
Zongyu Dai	University of Pennsylvania	Missing data imputation
Zhengjia Dai	Sun Yat-sen University	Alzheimer's disease; functional connectivity; model
Yichao Dai	Shanghai Maritime University	FMRI deep learning network
Ke xuan Dai	Communication University Of ZheJiang	Dynamic Brain Connectivity Preprocessing
Weihang Dai	Hong Kong University of Science and Technology	Brain Age, Semi-supervised regression
Shijie Dai	Xiamen University	Brain, Stroke，AIS
xijian Dai	Kangning Hospital in Shenzhen	old people, cognition
Jiayi Dai	University College London	Alzheimer’s disease progression modelling
duwei dai	Xi'an Jiaotong University	Medical image analysis
Xiangwei Dai	Beijing Normal University	amyloid deposition, grey matter
Xi Dai	Renmin University of China	111
Peng Dai	Ryerson University	deep learning, LSTM, explainable AI
tomomi daigo	Nara Institute of Science and Technology	medical image synthesis
Ryo Dairiki	Eisai Co., Ltd.	MCI-to-AD-conversion
Hiromitsu Daisaki	Gunma Prefectural College of Health Sciences	Deep learning AI PET
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
Daffa Damadhika	None	Alzheimer's Diagnosis Using Machine Learning Approach
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
huy dang	Penn State University	functional data, spiky data, function estimation
jiajun dang	qiqihaerdaxue	数据
Hao Dang	Beijing University of Posts and Telecommunications	deep learning
Lam-Ha Dang	Columbia University Irving Medical Center	down syndrome; neurofilament light chain; genetics; GWAS; biomarkers
Vien Dang	University of Barcelona	bias, fairness
Christa Dang	University of Melbourne	cognition, MRI, APOE, longitudinal, biomarkers
Ebenezer Daniel	City of Hope National Medical Center	MRI
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
Thanh Thuy Dao	The university of Queensland	neuroimaging, reproducibility
Zhang Daoan	Southern University of Science and Technology	GNN, CNN
Rayees Dar	Islamic University of Science and Technology	CNN, Deep Learning, Artificial Intelligence, Medical Imaging
GOWHAR DAR	LOVELY PROFESSIONAL UNIVERSITY PUNJAB	CNN,DEEP LEARNING,AUTOMATED
Rushi Dar	no	data scientist
SUHAIL AHMAD DAR	Aligarh Muslim University	Alzheimer's, MCI, Deep Learning , Diagnosis
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
Muazzez Buket Darıcı	Kadir Has University	Brain Age Estimation, Artificial Intelligence, Predict Alzhmeir
Caroline Dartora	PUCRS	Brain Connectivity, Alzheimer's Disease, MRI, PET
Erfan Darzidehkalani	UMCG	Medical , deep learning, GANs
Debarpan Das	University of Alberta	Registration
Anisha Das	Florida State University	neurology, Alzheimer
Ruchika Das	Tezpur University	Alzheimer analysis
eashita das	Dr. Eashita Das	data mining, analysis
Priya Das	Kalinga Institute of Industrial Technology	biomarker, machine learning, MRI, AD
Ayantika Das	HTIC,IITM	Classification of brain MRI
Dulumani Das	Gauhati University	Image Processing . segmentation. MRI.
Priya Das	Kalinga Institute of Industrial Technology	biomarker, machine learning, MRI, AD
Sandhitsu Das	University of Pennsylvania	hippocampus MCI
Sikta Das Adhikari	Michigan State University	statistical model
Srihitha Dasari	iResearch Institute	Alzheimer's disease, gray matter, white matter, hippocampal volumetry, MRI
Sneha Dasgupta	Heritage Institute of Technology	Alzheimer’s Disease, 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
Nikolaos Daskalakis	McLean Hospital/ Harvard Medical School	SNPs, biomarkers, machine learning
Adam Datta	SWPS University of Social Sciences and Humanities	convolutional neural network, image identification, MRI, Alzheimer’s Disease
Ritobrato Datta	Johnson and Johnson	resting state fMRI, tau-PET
Rohan Datta	Army Institute of Technology	deep learning, fMRI, CNN
Prasun Datta	Bangladesh University of Engineering & Technology	Brain MRI Scan
Aigerim Dautkulova	Clarmont Auvergne University	subcortical
Deana Davalos	Colorado State University	TBI, biomarkers, dementia, pathological aging
Zeinab Davarani	Isfahan University of Technology	fMRI images, Alzheimer disease
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
Noelle Davis	UC Berkeley	PET blood plasma alzheimer's
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
Nasireh Dayarian	Faculty of Electrical Engineering, K. N. Toosi university	source localization, alzheimer
Akshay Daydar	IITG	Data analytics, Disease prediction
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
Giovanni De Felice	University Of Liverpool	kernel regression, Multidimensional Time Series,
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
Susan De Santi	Eisai	Normal controls, Mild Cognitive impariment, biomarkers, cognition
Lisa Anita De Santi	Università di Pisa	Deep Learning, CNN, XAI
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
Amanda De Silva	University of Technology Sydney	Machine Learning, Alzheimer's 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	cognitive decline, survival analysis, clinical data, machine learnin
Wieske de Swart	Radboud University Nijmegen	Alzheimer's disease, deep learning, multi-modality, incomplete data
Javier De Velasco Oriol	Instituto Tecnologico y De Estudios Superiores de Monterrey	Machine Learning, Deep learning, Genomics
Alyssa De Vito	Brown University	intraindividual variability
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
Duilio Deangeli	Laboratorio Plasmas Densos	OC-SVM, morphologic and shape analysis, index disease
Alison Deatsch	University of Wisconsin - Madison	FDG PET, deep learning, CNN, diagnosis, biomarker
Drew DeBay	Cubresa Inc.	PET, MRI, Attenuation Correction, PET quantification
Tanmay Debnath	PDPM IIITDMJ	bioinformatics, artificial intelligence
Rodrigo Debona	UFSC	hippocampus, volumetry, stereology
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
Matthew Defenderfer	University of Alabama at Birmingham	computation
Ana Defendini	University of Pennsylvania	Imaging
samuella degbey	Altran	image processing brain pathology
Farzaneh Dehghani	University of Esfahan	Alzheimer's disease, deep learning
Hamed Dehghani	Neuroimaging and Analysis Group (NIAG)	machin learning, agnig, cognitive impairement
PRIYANUJ DEHINGIA	ASSAM ENGINEERING COLLEGE	Alzheimer's, Deep Learning
Amir Dehsarvi	University of Aberdeen	biomarkers
diego deigo	National Chiao-Tung University	Causal Discovery
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
Emilie Delage	Université de Montréal	Semantic memory; Alzheimer's; identification
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
Ali Demir	Massachusetts General Hospital	biomarker, tractogram, postprocessing
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	Southern Medical University	SMC NC
mujiang deng	Beijing University of Aeronautics And Astronautics	deep learning model
Xinling Deng	Tongji University	Deep learning, the diagnosis of Alzheimer's disease
Simin Deng	Southern Medical University	SMC NC
Ianien deng	Beijing University of Aeronautics And Astronautics	dmj66622
Shengfeng Deng	The Fifth Affiliated Hospital of Sun Yat-sen University	Alzheimer's disease
ZhengZheng Deng	Shanghai Brain Science and Brain-Inspired Intellegence	data-mining, big data, Alzheimer's disease
Zhenhong Deng	Sun Yat-Sen memorial hospital, Sun Yat-Sen University	Dementia; mild cognitive impairment; single nucleotide polymorphism; prognosis;
Jinxian Deng	MSU	AI, model
Shuangge Deng	South China University of Technology	Alzheimer's disease, machine learning, diagnosis
Simin Deng	Tungwah Hospital of Sun Yat-Sen University	Subjective cognitive decline
jieping Deng	Jinnan university	whole-genome association analysis，Alzheimer's disease
guodeng deng	ningxia	registration
Shiling Deng	Chongqing University of Posts and Telecommunications	undergraduate thesis, academic usage
Yu Deng	Kings College London	Medical Image Analysis; Domain Adaptation; Deep Learning
Yatsen Deng	Harbin Institute of Technology	AD hippocampus morphological changes
Tian Deng	Sun yat sen university	artificial intelligence，Medical image processing
sun dengbo	Nanjing University of Science and Technology	Alzheimer’s disease
Stijn Denissen	Vrije Universiteit Brussel	MRI, Brain Age, Deep learning, Transfer Learning, Cognition
Marie Deprez	INRIA	Deep Learning, Imaging Genetic
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
Urvi Desai	Analysis Group	MCI or Mild AD, disease progression, cognition, function, behavior
Shekha Desai	Vishwakarma Government engineering college	Early detection of AD, ML approach for AD diagnosis
juhi desai	In-Med Prognostics	volumetric
pranav desai	scet	machine learning
Krish Desai	Leland High School	neural network
Marie Deserno	University of Amsterdam	autism, neurodegenerative disorders
Aditi Deshpande	Aditi Deshpande	cerebral vasculature, time of flight
Akshay Deshpande	University of Queensland	machine learning, artificial intelligence, healthcare
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
Dibakar Dey	TCS	AI
Debojyoti Dey	Personal	ML based explorations
Sanjoy Dey	IBM Research	AI
Rishi Dey Chowdhury	Indian Statistical Institute	Brain Imaging Genomics, Machine Learning, Genomic Association
khalifa dhahie	ljmu	final year project
Mukesh Dhamala	Georgia State University	Infra-slow network activity and time delays
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
Akshay Dhayal	NITK Surathkal	Image segmentation, Alzheimer, ML
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
Hao Di	XJTU	Result repeat
Xin Di	University of medicine and dentistry of new jersey	connectivity, pet
Francesco Di Lorenzo	University of Sussex	AD, functional conncectivity, ApoE, computational model, disease progression
Batoul Diab	Tarbiat Modares University	Alzheimer's, deep learning, artificial intelligence
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
Ellen Dicks	Amsterdam UMC	Alzheimer's disease; MRI; PET; CSF
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
Leonardino Digma	University of California San Diego	Tau, amyloid, PET, MRI, GWAS, polygenic risk
Allison Dillon	Genentech	dictionary
Konstantina Dimaki	Wentworth Institute of Technology	Alzheimer's disease, prediction
Georgios Marios Dimakidis	Ionian University	Bioinformatics, Data Analytics, AD
Xuemei Ding	Ulster University	Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Jiayuan Ding	VMware, Inc	Machine Learnrinig
Wencai Ding	HMU	AD neuroimaging
zichen ding	Weifang Medical University	Longitudinal data, cross-sectional data, genetic data, causal inference, machine
Shaodong Ding	Beihang University	domain adaptation
Yuan Ding	New York University	For Course Project
Chen Ding	Shenzhen Institutes of Advanced Technology Chinese Academy of Science	brain image
Mengyuan Ding	Brigham and Woman's Hospital	protective, WGS, AD , validation
yuhang Ding	baidu	download and study
Shiyi Ding	Central South University	statistics
jie Ding	Nanjing Tech University	ADNI data
Ke Ding	东华大学	Biospecimens、MRI、PET、Genetic
Changchang Ding	Shanghai University	PET;FMRI
Xiyu Ding	Johns Hopkins School of Medicine	research, phd rotation
Ke Ding	东华大学	ADNI、MRI
Xiuhua Ding	Western Kentucky University	sleep Apnea, APOE, Amyloid-beta
Chen Ding	Shenzhen Institutes of Advanced Technology Chinese Academy of Science	brain image
Xian Ding	Chinese Academy of Medical Sciences and Peking Union Medical College	batch effect removal method test
Yanyi Ding	Carnegie Mellon University	Machine Learning
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
Christos Diou	Harokopio University of Athens	deep learning, neural networks, interpretable machine learning
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
Manvi Diwakar	Indian Institute of Technology BHU,Varanasi	Alzheimer disease prediction using machine learning
sai smruthi diwakar	SASTRA UNIVERSITY	Final year project on prediction of alzheimer's
anoop dixit	Collective Cure	Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec
Sudhanshu Dixit	Jaypee Institute Of Information And Technology	Use ADNI dataset for College Project
Daniel Dixon	University of Southern California	Alzheimers
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