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
sakshiwala .	National institute of technology patna	mild cognitive impairment, resting functional MRI, brain functional network
Mayank .	IIT BHU Varanasi	GAN
Ankita .	Chitkara University	Classification, Alzheimers, Deep Learning
Rishabh .	Gautam Buddha University	AD, MCI, DL, Python, AI models
1 1	中南民族大学	study
6 78	National Taiwan University	starrain0819
Shrihari A	IIT Guwahati	MRI, T1, HV, CNN
Sasithradevi A	Vellore Institute of Technology	disease diagnosis
XY A	山东大学	GCN, AD,Machine learning
Suganya A	VIT University	Alzheimer, classification,deep learning
Talha Fathima A	St.Joseph's college of engineering	3D CNN
Sai Darahas A	National Institute of Technology Andhra Pradesh	neuroimaging
ananda kumar a	-	research
Revathi A	SRM Institute of Science and Technology	machine learning
a a	a	a
Srinivasan A	CSIR-CMERI	Alzheimer's Disease
Thushara A	TKM College of Engineering	AD,MCI,Brain graph, rsfmri,DTI,Tractography
Jismi K A	College of Engineering Trivandrum	Alzheimer's Disease, mild cognitive impairment, Cognitive impairment
Shravya A	VCET Puttur	MRI
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
Amirali Aali	Mashhad university of medical sciences	FMRI, resting-state, prodromal
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
Salah Abbas	Northwest Missouri State University	VAE, GAIN
Hawraa Abbas	Kerbala University	Dementia classification
Zeeshan Abbas	Jeonbuk National University	deep neural network, Alzheimer, omics
Shahzad Abbas	bzu	research
amal abbas	university of Al-Qadisiyah	Alzheimer disease diagnosis
Syed Qasim Abbas	La Trobe University, Melbourne	Discriminate Atrophy Localization
sarwat abbas	fast nuces lahore pakistan	alzheimer datamining
Kainat Abbasi	Habib University	3DCNN, Adam(), SGD()
ali abbasi	Urmia University of Technology	Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne
sahand abbasi	K. N. Toosi university	computer vision, deep learning, AD
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
Adham Abdalmageed	University of Southern California	ADNI
Moloud Abdar	Institute for Intelligent Systems Research and Innovation (IISRI)	deep learning, Fusion, uncertainty quantification
Doha Abdelaal	AinShams	Graduation project-AlZahimer MRI
REEM ABDELAZIZ	cairo university	research
Mohamed Abdelaziz	Shenzhen university	Alzheimer’s disease, multimodal data
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
LEBAL Abdelhamid	ensh blida	deep learnin, attention mechanism, neural network
Moro abdelhamid	Ain Shams University	epistasis and SNPs
KERCHAOUI Abdelilah	Mohammed V University	"MRI" and "ADNI"
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
Boukaache Abdelnour	Guelma University	Detection, Alzheimer, Disease, Intelligen
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
ines abdennaji	ENIG	biomedical image analysis
Tarek ABDENNAJI	ENIT	Neuron
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
Amirabbas Abdoli	Iran	GAP-43, DTI, Alzheimer's disease
Rouhollah Abdollahi	Janssen Pharmacuiticals	Tau, Connectivity
Mehdi Abdollahpour	Amirkabir university of technology-Tehran Polytechnic	Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN
Leah Abdul-Reda	McGill University	Hormones neurodegeneration
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
Kainat Abdullah	National Textile University	Alzheimer's disease , AD
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
Khadidzha Abdullaieva	Karolinska Institutet	comorbidity, biomarker, AD
Hassan Abdulrasul	University of Toronto	neurodegeneration
Masahiro Abe	Juntendo University	Alzheimer's desease
Kie Abe	Yokohama City University School of Medicine	neuroinflammation
Hiroki Abe	Yokohama City University / Japan	Alzheimer
heydar abedi	Amirkabir university of technology (Tehran polytechnic)	Alzheimer disease - MR images
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
Rasheed Abid	Illinois Institute of Technology	Quantitative Susceptibility Mapping
Hassan Abida	Cadi Ayyad University	ADNI, Research, VGG, CONVLSTM
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
Anwar Abouelenien	Alexandria University, Faculty of Engineering	Deep Learning, CNNs, LSTMs, Early Detection
Tisha Abraham	GE	Deep Learning
Shilpa Abraham	Cochin University of Science and Technology, Kerala, India	Explainability, Deep learning, saliency maps
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
Mohammed Aburidi	University of California Merced	domain adaptation, domain shift, medical image analysis, deep learning
Francisco Javier Acevedo	University of Alcala	PET, MRI, CSF biomarkers
Sreenath Acharath	University of Glasgow	Survival Analysis, Machine Learning
Sajib Acharjee	BUET	Multimodal data Imaging Early detection
Kalyan Acharjya	Maharishi University of Information Technology	Segmentation, Feature Extraction
Maria Ram Achary	University of Mumbai	AD,MCI,PD
MARIA ACHARY	University of Mumbai	AD,EMCI,MCI,LMCI,CN,PD
Anuja Acharya	KIIT University	KIIT University , Alzheimer's Disease
Fella Achouri	AYDIN University	Alzheimer, Hippocampal, Machine Learning, Deep Learning, ADNI
Sarah Ackley	UCSF	Alzheimers, Tau, Mathmatical Modeling
Noriaki Adachi	MSD. K.K. (Japan Branch of Merck)	threshold
kazuamsa adachi	SORD CORPORATION	DTI-ALPS,ALPS-index
Nikolaos Adaloglou	INSA	segmentation, medical imaging
Sufiyan Adam	Atma Ram Sanatan Dharma College	CNN, Classification, Research
Walter Adame Gonzalez	McGill University	Machine Learning, Dementia, TBI, MRI
Jenna Adams	UC Irvine	resting state functional connectivity
Steven Adams	NCIRE (data scientist/statistician candidacy)	research
Hieab Adams	Erasmus MC University Medical Center	Neurodegeneration, high-dimensional data, brain imaging, genetics
Roy Adams	Johns Hopkins University	risk prediction; machine learning
Tobias Adamsen	Aalborg University	Super resolution, PSNR, SSIM
Victor Adankai	Florida A&M University	Dataset
Victor Adankai	Florida A&M University	Machine, Deep , Learning, Image, Analysis
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
Raima Adhikary	Jahangirnagar University	Alzheimer's, Hippocampus, atrophy, MRI
Avizit Chandra Adhikary	Florida State University	Disease progression, Deep Learning
Prasad Adhiyaman	Vellore institute of technology, chennai	Ml model
Elnura Adigozalova	Akdeniz University	PET images
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
Tamare Adrien	University of Florida	amyloid/tau pathology, white matter hyperintensity, cognition, functioning
khadar afghan	KLE's Technological University	mini project on segmentation on brain mri
Awan Afiaz	University of Dhaka	Causal Inference, Joint Modeling, Longitudinal Data
Moslem Afrashtehmehr	Shahid Beheshti University of Medical Sciences	Alzheimer’s Disease Diagnosis, Decision Support System, Computer-Aided Diagnosis
Vera Afreixo	University of Aveiro	Data Analysis; statistics
Yaw Afriyie	SDD University of Business and Integrated Development Studies	capsule network, computer vision, deep learning
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
Saeid Agahian	Erzurum Technical University	Alzheimer’s disease diagnosis, Deep Learning, LSTM,
Iman Aganj	Massachusetts General Hospital / Harvard Medical School	Brain connectivity
Abhi Agarwal	Health Banyan	Medical
Ishaant Agarwal	BITS Pilani KK Birla Goa Campus, Sancaole, Goa	Unet, segmentation, deep learning
Amit Agarwal	USC	Tau, microglia, neurodegeneration
Ajay Agarwal	DIT University	Alzheimer's Disease, Progression
Tanay Agarwal	Vellore Institute of Technology	GAN
Varun Agarwal	N/A	The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge
Hrithik Agarwal	Malaviya National Technology of Jaipur	Alzheimer's Disease using Graph Signal Processing on Neuroimaging Data
Siddharth Agarwal	University of Nottingham	brain age, chronological age, delta, radionics
Snigdha Agarwal	Heritage Institute of Technology	Alzheimer’s disease; graph theory; mutual information; network model; connection
Shruti Agarwal	JHU	fMRI
Kushagra Agarwal	Indian Instiute of Engineering Science and Technlogy,Shibpur	Alzheimer's Detection
Deevyankar agarwal	Higher College Of Technology	MRI,Alzhimer DIsease,MCI
Rashi Agarwal	CSJM University	cognitive impairment, fMRI, sMRI
Bless Agbley	University of Electronic Science and Technology of China	Federated ML, Multimodal Medical Analysis
Kunal Aggarwal	Amity University	Machine Learning, AD, MCI
Arshiya Aggarwal	Manipal University (MUJ) Jaipur	Alzheimer's, MCI, Early diagnosis, Convolution Neural Network
Saurabh Aggarwal	A*STAR	Progression, Disease Modelling
Anay Aggarwal	Stoller Middle School	behavior test scores
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
Parth Agrawal	IIT Kanpur	Machine Learning, Image Processing, 3D-CNNs
Amitesh Agrawal	NIT Raipur	alzeihmers
Vismay Agrawal	Indian Institute of Technology Madras	Medical Image Analysis
Shubham Agrawal	OVGU	ADNI
Ambuj Agrawal	Elucidata Inc.	Project, Alzheimers prediction, IIIT Allahabad
Christian Agudelo	University of Miami Miller School of Medicine	DTI, microstructure integrity, gray matter diffusivity, cognitive decline
Yésika Alexandra Agudelo Londoño	Universidad de Antioquia	dFC, resting state, based on task
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
Tyler Agyekum	Mcgill university	MRI, Microstructure, dMRI, qMRI,
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
Abdul Basit Ahanger	Islamic University of Science and Technology	Alzhimer
Hilit Aharoni Segev	Bar Ilan University	Personalized Federated Learning , Segmentation
Zoheb Ahasan	IIT Delhi	AD, Prediction
Jamila Ahdidan	Aarhus University	AD, hippocampus, prediction
Jayshree Aher	MIT World Peace University, Pune	Machine Learning. Data Analyti
Priti Aher	Savitribai phule pune university	consensus multiview clustering model for AD progression, academic project
Asha Aher	San Jose State University	Machine Learning Alzhmeirs
Shakeeb Ahmad	Indiana University	Alzheimer's Disease, Cerebral Amyloid Angiopathy
Fayyaz Ahmad	UNIVERSITY OF GUJRAT	SPM, FMRI
Ijaz Ahmad	Chosun University	Privacy-preserving deep learning model, medical image analysis
Rauf Ahmad	Uppsala University, Sweden	High-dimensions; Multivariate statistics; Linear models, Dependence measures
Muhammad Faraz Ahmad	Riphah International University Faisalabad	Alzheimer’s Disease
Hessam Ahmadi	Islamic Azad University, Science and Research Branch	fMRI, Non linear, graph theory, functional connectivity
Fahimeh Ahmadi	Bushehr University of Medical Sciences	Alzheimer disease, Mild cognitive impairment, prefrontal cortex and hippocampus
fateme ahmadi	amirkabirunivercity	mri t1
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
Sabbir Ahmed	Jiangnan University	CNN, Alzheimer's
Khandakar Tanvir Ahmed	University of Central Florida	mutation, MRI image, Alzheimer
USAMA AHMED	Riphah International University	Machine Learning
Mohammed Ahmed	Sudan international university	Alzheimer's, detection,MRI,
Faseeh Ahmed	IIT Madras	Alzheimer's Disease, Deep Learning
Mansoor Ahmed	Lahore University of Management Sciences	Neuroimaging, CSF biomarkers, Early-onset Alzheimers, Genetic biomarkers
ismail ahmed	University of Anbar	BRAIN ANALYSIS
Mughis Ahmed	UOG	Multiple sclerosis
zubair ahmed	Nust university EME college Pakistan	Early Alzheimer Detection
Tasnim Ahmed	Islamic University of Technology	Biomedical Image Processing, Neural Networks, Machine Learning
Kamran Ahmed	Daffodil International University	AD detection
zubair ahmed	Nust university EME college Pakistan	Early Alzheimer Detection
Akhyar Ahmed	University of Potsdam	Demetia, AI, Machine Learning
Ayesha Ahmed	University of Edinburgh	ALZHIEMERS,CNN,MACHINE LEARNING,MRI,PET
reem ahmed	KAU	Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Ear
Juweiriya Ahmed	Western University	Psychosis, AD
Biyar Ahmed	Pennsylvania State University College of Medicine	Olfactory deficits, Alzheimer's disease, fMRI
Mahinour Ahmed	Faculty of science	Access to data
Fahad Ahmed	Szabist University	computer vision, alzheimer’s disease, brain, mri
Tahera Ahmed	Bond University	Alzheimer's, Early Detection, Prediction
Jeongyeol Ahn	Seoul National University	Machine learning, Alzheimer disease, MRI
MOHA AHN	GONGTO	Alzheimer's Disease
Kyungmin Ahn	Keimyung University	SRVF, shape analysis
Yong Yeol Ahn	Indiana University	network, multi-omics, data integration
Minkyu Ahn	Handong Global University	Alzheimer's Disease, Random Forest, Magnetic resonance imaging
Mobassir Ahsan	East West University	hippocampus, semantic segmentation, deep learning
Narendra Ahuja	Univ of Illinois at Urbana-Champaign	Machine learning, Representation Learning, Computer Vision
Jiang Ai	zhongguojiliangdaxue	study
zhuang ai	Xinjiang university	Alzheimer's disease；Deep Learning
zhuang ai	Xinjiang university	Alzheimer's disease；Deep Learning
Marco Aiello	Fondazione SDN	Diaschisis, PET, MR, connectome, brain connectivity
David Airey	Eli Lilly and Company	NfL hippocampus biomarker
Paul Aisen	University of Southern California	Alzheimer's, disease progression models
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
azizeh akbari	Hakim Sabzevari University	fMRI- alzheimer's disease- ADNI
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
said akça	Sakarya University of Applied Sciences	Deep Learning, Artificial intelligence, Alzheimer's,
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
DUYGU AKIN SAYGIN	Necmettin Erbakan University	RADİOLOGICAL,ALZHEİMER.
Grace Akindele	Hebei University of Technology, China	Alzheimer's diseases, autoencoder, Neuroimaging
Haya Akkad	University College London	speech dementia logopenic
umit akkaya	gebze technical university	vision transformer
Essang Akpan	University of Pittsburgh	lateralization, asymmetry
Mohammad Akradi	Shahid Beheshti University	OSA, AD, MCI
Farhan Akram	Khalifa University	Alzheimer, early prediction, convolutional neural networks, deep learning
Muhammad Haroon Akram	Bahria University Islamabad	ALPHA
Wasim Akram	East West University	detection, deep learning, early-onset Alzheimer, mri
samina akram	ucp	DTI, Alzheimer's disease ,DTI images
SAMINA AKRAM	UCP	DTI
Mina Akrami	Bahonar	MRI images
Alexander Aksenov	UCSD	metabolomics
IBRAHIM AKSIT	Gazi University	Anomaly,Detection,Alzheimer,advanced,deep,learning, model
Leon Aksman	UCL	structural MRI, longitudinal analysis, imaging genetics
Leon Aksman	USC	test
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
Mobarak Hossain Al-Mamon	Khulna University of Engineering & Technology	Mobarak1807113@
Ali Al-Nuaimi	Plymouth University	brain disorder
Murad Al-Nusaif	Dalian medical university	AD
Khaleel Al-Rababah	DAKOTA STATE UNIVERSITY	DWT
SAMI AL-SHARABI	UNIVERSITI TUNKU ABDUL RAHMAN	deep learning CNN Alzheimer's disease prediction classification
Hazem Al-Takleh	Damascus University	Machine Learning, Software Engineering, Mobile application Development.
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
Mohammad Alam	Ulster University	assignment
Saruar Alam	University of Bergen	AD, IBS, Insula, Segmentation
Fariha Alam	Chittagong University of Engineering & Technology	Monte Carlo, Alzheimer, Biomarker
Raquib-ul Alam	University of Sydney	longitudinal,mri,mri,pet,genetic
FARIHA ALAM	university teknologi malaysia	neuro imaging, data process, neuroscience,
Aftab Alam	Hazara university mansehra	no
Tanvir Alam	Hamad Bin Khalifa University	Alzheimer's Disease; Mild Cognitive Impairment; SNP; Machine Learning
Md Ashad Alam	Tulane University	Robsut kernel, Machine lerning
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, Machine learning, CNN
Maitha Alarjani	King Faisal University	Alzheimer's disease, brain Signals, Deep learning, 3D-CNN, Neuroimaging
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
Seyed Mohammad Amin Alavi	Ahvaz Jundishapur University of Medical Sciences	Tensor-based Morphometry; Alzheimer's disease; Magnetic Resonance Imaging
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,
Saad Albawi	University of Diyala	Deep Learning, Alzheimer’s disease,
ADEM ALBAYRAK	Alzheon	APOE4, RAVLT
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
Tom Aldridge	University of Nottingham	alzheimers, lc-ne, white matter
Turki Alelyani	Najran University	machine learning, Alzheimer, MRI
ab alen	Central South University	deep learning
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
Ali Algumaei	Concordia University	ADNI Alzheimer
Faisal Alharbi	University of Bristol	Natural Language Processing, Transfer Learning, Multi-Modalities, Machine learni
Afnan Alhassan	Shaqra University	sMRI, AD, OTSU segmentation, EFEHO, DA-MIDL.
Lea Alhilali	Barrow Neurological Institute	Diffusion tensor imaging
Soriah Alhuthifi	University	Mmm
rachid Alhyane	FSC Ben M'sik	Deep Neural Network, Detection Alzheimer’s Disease
Nawazish Ali	Istanbul Medipol University	Early stage alzheimer prediction
Samr Ali	Concordia University	machine learning, hidden markov models
Muhammad Ali	Washington University in St. Louis	Amyloid, Imaging, GWAS, genetic, biomarker, AD.
Basharat Ali	UET PESHAWAR, Pakistan	Deep learning, Machine learning
shahad ali	Technical College of Management	MRI dataset
Sarwan Ali	Georgia State University	Alzheimer's disease detection, Deep learning, classification
Raiyan Ali	Jamia Millia Islamia	Machine learning, neurodegenerative,
Abdullah Ali	Swarthmore College	Imaging Genetics, AV1451-Tau, PET
Asghar Ali	Harbin University	deep learning
Mohd Hanafi Ali	The University of Sydney	Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
YAQEEN ALI	Comsats university of Islamabad Lahore campus	White matter hyperintensities,ADNI,Segmentation
Obaï Bin Ka'b Ali	Concordia University	functional integration, multiscale dialogue, intrinsic networks
Waqar Ali	UCB	disease clustering, progression
Ameen Ali	Tel Aviv University	MRI , Super Resolution , alzheimer’s detection
Aya Ali	Nile university	Master project, data fusion, disease detection
doaa Ali	University of kentucky	Preclinical AD - amyloid PET images_ Cognitive function tests
Sepand Ali Madad Soltani	K.N. Toosi University of Technology	Machine Learning, Deep learning, Neural networks, Alzheimer's detection
Nyurbek Aliev	None	Normal-pressure hydrocephalus, brain atlas, segmentation
Hasna Noor Alifa	Gadjah Mada University	Alzheimer Disease, Therapeutical Nuclear Medicine
Kevin Aliko	Epoka University	CNN, AD
sanam alilou	Iran university of medical sciences, Tehran, Iran.	long non coding RNAs, Alzheimer
mohammad alimorad	azad	datamining
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
Milad Alipour	University of Tehran	brain network, brain diseases, AD, brain disorders
farzad alizadeh	tums	fmri,deep learning
mohammadreza alizadeh	university of guilan	Alzheimer's disease
mohammadreza alizadeh	university of guilan	saeed1500
Shorouq AlJarad	Jordan University of Science and Technology	MRI, Deep Learning, CNN
Zahra Alkabbaz	University of Leeds	Alzheimer explainable classifier
Rawan Alkady	misr international university	Alzheimer's disease
Nora Alkhaldi	King Faisal University	TADPOLE
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
Mona Alnaggar	Artificial Intelligence faculty	CNN classification
AMAL ALNASSER	KFSH	BREAST
davide aloi	university of birmingham	alzheimer, deep learning
Mohammed Alom	Cork Institute of Technology	Machine learning, Deep Learning,
eya aloui	enstab	data set predict alzheimer
Sherly Alphonse	Vellore Institute of Technology	Alzheimer, machine learning,bio-markers
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
Norah Alroomi	IAU	Alzheimer Disease, Deep Learning, MRI, CT
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
Maryam Alsameen	NIH	Neurite density index; NODDI; MCI; Alzheimer’s disease; White matter.
Anas Alsayed	Uskudar University	CNN, MRI, THESIS
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
Haifa Alshehri	Taif University	early diagnosis ,Alzheimer , Classification
fatima alshehri	KSU	Ff19811981
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
Samet Altuntas	Gazi University	Deep Learning
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
Malena Alvarez Rottemberg	Instituto Tecnologico de Buenos Aires	Metabolic Connectivity, MRI, PET
Francesca Alves	Florey	Alzhiemers Biomarkers
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.
Cláudia Alves	Universidade do Minho	MRI, Entorhinal cortex, Hippocampus, AD
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
Hazem Amamou	ENIT	#DeepLearning #Alzheimer #Diagnosis
Yahyah Aman	University of Oslo	Alzheimer’s disease, mitophagy, biomarkers
Ali Amanlou	Amirkabir University of Technology	machine learning , artificial intelligence , biomedical
Fatemeh Amanzadehsalut	Alzahra	Alzheimer’s disease
SAI SANTOSH AMBATI	NITK SURATHKAL	Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
udaya kumar ambati	IIT Hyderabad	Deep Learning, GAN, Transformers
Felix Ambellan	Zuse Institute Berlin	Disease classfication, Statistical shape analysis, Manifold valued statistics
Mangal Ambi	D.Y.Patil.International.University,Pune	Alzheimer, Parkinson, Brain , Neurodegenerative
Ananthan Ambikairajah	University of Canberra	Menopause, Ageing, Neuroimaging
Ludovica Maria Amedeo	Universidad de Sevilla	TDA, Connectome, Thesis
Nisreen Amer	HBKU	Feature extraction, classification, preprocessing techniques
LAMYA AMGHAR	INPT	CBIR,capsnet
Elena Amigo	University of Aberdeen	Volumetry, comedication
Sadia Amin	BRAC University	AD,Neural network
Manish Amin	University of Florida	fMRI, DWI
Engr. Amin	COMSATS University Islamabad - Wah Campus	volume
Nishta Amin	Johns Hopkins Medicine, Kennedy Krieger Institute	morphometry, Alzheimer's
ACHAIBOU Amina	Ecole national polytechnique d'alger	TEP , detection , neurodegenrative deseas
yahiaoui amina	Blida university	MRI/PET
Eriza Aminanto	University of Indonesia	classification, alzheimer
Kouda Amine	DZ	ADNI
Morteza Amini	Institute for Cognitive Science Studies	Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Nastaran Amini	Cleveland Clinic Nevada	Classification Machine Learning algorithms
Hamed Amini	Tehran	913151001HaA
haniyeh amini	UMSU	AD, CSF, biomarkers, Genes
Morteza Amini	Shahid Beheshti University	Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI,
Yasin Amini	khuarazmi university	Prediction, ANN
Nasrin Amini	Shahid Beheshti University of Medical Sciences	Alzheimer , MRI, classification
Dan Amir	The Hebrew University of Jerusalem	rest-state fMRI, functional tradeoffs, functional connectivity
Nikan Amirkhani	Tehran University of Medical Sciences	TabPFN, Alzheimer's, Dementia screening
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
Abdesalam Amrane	CERIST	ADNI; CAD
Aniverthy Amrutesh	Dr Ambedkar Institute of technology	ML analysis
ZAREEN AMTUL	Independent Rsearcher	Alzheimer's disease, diagnosis
Shan An	Beihang University	classification
Xiao-Lin AN	Hebei University	Fine classification
Lijun An	National University of Singapore	ML, AD
hamid ananbestani	Amirkabir University of Technology	Alzheimer’s,classification,segmention
hamid ananbestani	Amirkabir University of Technology	Alzheimer’s,classification,segmention
Samarth Anand	Meerut Institute of Engineering and Technology	Research, Machine Learning, Thyroid Detection
Anjana Anand	SSN College of Engineering	Deep learning, Data Augmentation, GANs, medical image
Aayush Anand	Padre Conceicao College of Engineering	Synthetic Data Generation
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
Chinmaya Anchan	JSS Science and Technology University	ALZHEIMER, FALSE POSITIVE, DECREASE
Sami Andberg	University of Eastern Finland	Alzheimer's disease, early detection, machine learning
Spiffy Anderson	UCSF	Research, neurosurgery, cool, jazz, fun, vibes
Loretta Anderson	University of Maryland, Baltimore	APOE, Alzheimer's, Epigenetics
John Anderson	Carleton University	multishell, NODDI, aging, cognitive reserve
Cole Anderson	University of Washington	WMH, Imaging
Deanti Andew	Jiamusi University	MCI classification algorithm
Christina Andica	Juntendo University Graduate School of Medicine	Diffusion MRI, Free-water imaging
Alexandre Andrade	IBEB - Faculty of Sciences Univ. Lisbon	Connectivity; biomarkers; MCI; multimodality
Rene Andrade Rey	University of Alcala de Henares	vbm, alzheimer
Daniel Andreani	UBA	AD
Kieran Andrew	Banner Health	executive function, cortical volume, cognition
Akhilome Andrew	Lagos state University of Science and Technology	Dementia Datasets
Daniel Andrews	McGill University	MRI, cognition, demographics, Alzheimer's, MCI, prognosis, mixed effect model
Thomas Andrews	Imperial College London	Machine Learning, AI, near-symbolic AI
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
Sandeep Angara	National Library of Medicine	Deep Learning, Medical Imaging
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
Farhan Anjum	University of Management and Technology	CNN
Zonera Anjum	National University of Computer and Emerging Sciences	Dementia, Alzheimer
Nafisa Anjum	Chittagong University of Engineering & Technology	Alzheimer's, applied machine learning
Nick Ank	scetech	image to image translation, GANs
Veenit Ankam	Cognizant	Image classification, Analysis, disease prediction
Jeffrey Anker	Clemson University	Amyloid beta oligomers
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
Aamir Ansari	Univ.AI	MachineLearrnig Research Study Artificial Intelligence
FAIZAH ANSARI	MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA	RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION
Manon Ansart	university of Burgundy	machine learning, automatic diagnosis
Luigi Antelmi	INRIA	joint analysis; biomerkers
Luis Alberto Antillon Batres	Universidad Autonoma de Ciudad Juarez	Brain tumor, neural network, image processing
Joliz Anton	Anna University	Classification, Alzheimer's disease
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
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
Sathvik Appana	Einstein College of Medicine	CNN
Eline Appelmans	Foundation for the National Institutes of Health	PPSB
Frank Appiah	American Public University	mixture modeling, prediction, cognitively intact
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
João Victor Aquino Correia	UFC - Federal University of Ceará - Quixadá Campus	Alzheimer's machine learning research
Hayato Arai	ONO PHARMACEUTICAL CO., LTD.	clinical trial simulation
Arsen Arakelyan	Institute of Molecular Biology NAS Armenia	spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis
Itsasne Arangoa	Mondragon Unibertsitatea	MRI preprocessing
Allen Arani	University of Houston	Alzheimer's, Convolution, Machine Learning,
Kumarran Arasaretnam	Birkbeck University	Alzheimer's
João Araújo	University of Cambridge	Kaggle, Genentech competition
João Araújo	University of Cambridge	Kaggle, Genentech competition
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
Derek Archer	Vanderbilt University Medical Center	white matter, diffusion MRI
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
Joan Maria Arenas Gomez	Neurobiology Research Unit	BrainAGE
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
fatemeh arghavan	semnan university	Alzheimer's disease diagnosis , MRI images
fatemeh arghavan	semnan university	Alzheimer's disease diagnosis , MRI images
Georgette Argiris	Columbia University	graph theory, AB-negative, resting state functional connectivity,
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	CT Scan, Alzheimer's Disease, Research
Bushra Arif	Ned University Of Engineering And Technology	Machine Learning , Alzheimer's Disease Detection, Machine Classifiers
Kazuto Arihara	The University of Tokyo Hospital	I will write it later.
Taylor Ariko	Florida State University	DTI, Alzheimer's Disease, connectivity
Taylor Ariko	University of Miami	Alzheimer's disease, hearing
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
Seyed Amir Arjmand	university of Tabriz	Alzheimer's disease
Hanieh Arjmand	University of Toronto	Alzheimer; Machine Learning, Medicss
Kubranur Arl'	Fatih Sultan Mehmet University	volume reduction, alzheimer,
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
Farhan Rahman Arnob	University Of North Texas	phenogeneranker
Thomas Arnold	University of Pennsylvania	Cortical thickness, cortical atrophy
Matthias Arnold	Helmholtz Zentrum München	gaussian models, data integration, network analysis
Victor Arnt	UFRGS	early stage, mri, pet, Biological Markers
Amit arora	ptu	MRI, Mammography, image processing, Deep learning, machine learning
Jai Arora	Netaji Subhas Institute of Technology, New Delhi	Na
Ayushri Arora	Jktech	Alzheimer's classification
Ashok Arora	ABV - Indian Institute of Information Technology and Management, Gwalior	interpretability, healthcare
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
naciye nur arslan	dumlupinar university	deep learning, alzheimer disease
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
Sahitya Arya	Graphic Era Deemed to be university	97
Akhilesh Arya	Manipal University Jaipur, Rajasthan India	Alzheimer's Disease, AD, MCI, Neuro-degenerative
Nikhilanand Arya	Indian Institute of Technology Patna	Deep learning, Multimodal
sahitya arya	Graphic Era Deemed to be university	97
Samyam Aryal	SRM Institute of Science and Technology	Deep learning, Image enhancement, Filters
saeed aryanmehr	Islamic Azad Univercity	Deep learning, Alzheimer's disease, MRI, CNN
saeed aryanmehr	Islamic Azad Univercity of Isfahan(Khorasgan) Branch	Alzheimer's disease, Deep learning, MRI, CNN
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
Babak Asadpour	Shahid Beheshti University of medical sciences	Alzheimer's disease, magnetic resonance imaging, white matter hyperintensities
bahareh asadpour	ferdowsi university of mashhad	research, sMRI, AD, alzheimer's disease
MD Asaduzzaman	Khulna University of Engineering and Technology	Request for ADNI dataset
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
Hamidreza Ashayeri	Tabriz university of medical science	GAP43 - tensor based morphometry - alzheimer
calvin Ashe	Maynooth University	Final year project; Students; Covid-19
Miriam Ashford	NCIRE	Clinical
Wes Ashford	Stanford	leptin, Alzheimer, blood, dementia
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
MURAT AŞIK	ISTANBUL MEDENIYET UNIVERSITY	DTI
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
Zitouni Asma	Larbi Ben M'hidi universty	indexation ,annotation
Toshihiko Aso	Kyoto University Graduate School of Medicine	BOLD signal, cerebral blood flow, venous drainage
Amanullah Asraf	KUET	AD, CNN, DSA- 3D CNN
SITI AISYAH ASRI	UiTM	aisyah
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
John Aston	University of Cambridge	Functional Data Analysis; Geometric Analysis; Genetic Analysis
arman atalar	Eskisehir Osmangazi University	deeplearning, alzheimer disease, apoe4
Meltem Atay	Middle East Technical University	Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Melvin Selim Atay	Middle East Technical University	Deep Learning, Explainability
Meltem ATAY	MIDDLE EAST TECHNICAL UNIVERSITY	Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
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
Matthew Aton	Banner Alzheimer's Institute	Quality control, freesurfer, image analysis
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
zn Aus	Tsinghua University	machine learning
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
Tyler Averett	University of Arizona	Maximum-likelihood, estimation, noise cancellation
Arman Avesta	Yale University	Deep learning, image segmentation, structural brain MRI
Andreas Avgoustis	Ionian University	desision support system,master degree
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
Dai AX	University Of Shantou	predictive nomogram of AD
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
deniz ayvaz	boğaziçi university	lstm, irregular time series
sezin ayvaz	tazi.ai	classification, use-case
Sevilay AYYILDIZ	Kocaeli University	Alzheimer Disese's, healthy elder, connecitivity
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
Fayez Azeez	Our Memos Inc	cognitive decline
Syed Furqan Azeez	Biocliq Technologies	Brain Tumor
BERNARDO AZEVEDO	City University of London	Medical image segmentation task
Flavia Azevedo	State University of Campinas (UNICAMP)	Explainable Artificial Intelligence; Alzheimer's disease; Early diagnosis
samad azimi	shahroodtu	deep learning
Abu Zahid Bin Aziz	Rajshahi University of Engineering & Technology	deep Learning, medical imaging
aniza Aziz	xylexa	genomic data
Md. Tarek Aziz	Independent University, Bangladesh	N/A
Ahmad Aziz	German Center for Neurodegenerative Diseases	genome-wide association study, neurofilament light chain, Alzheimer disease
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
Amirmohammad Azizzadeh	Tabriz University of Medical Science	tensor based morphometry, neuropathology findings
MIR AZRA	NIT Srinagar	DEEP NEURAL NETWORK, ACCURACY TEST
darnisa azzahra	Universitas UPN Jakarta	Alzheimer's image dataset
Vijayalakshmi B	Mepco Schlenk Engineering College	MR Brain Image, Segmentation, Deep Learning
Jamal Mohamed B	SSN COLLEGE OF ENGINEERING,CHENNAI	Alzheimer
jawahar b	kongu engineering college	dataset
RAJU B	Svuce	Image processing
Dhanalakshmi B	Rapid tech solutions	LSTM
Sathyabhama B	Panimalar Engineering College	Brain diseases, prediction/detection
Deepika` B	Manukau Institute of Technology	analysis
shwetha B	sjce	Alzheimers, MRI, Wavelets, SVM
Keerthana B	Vidyavardhaka College of Engineering	Deep Learning, Classification, Detection, CNN
priyadharshini B	VIT	data ,Alzheimer
Sruthika B	Vellore Institute of Technology	Alzheimer's disease, Tesla MRI data
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
Rudhra B	IIITMK	PARKINSON
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
Seitaro Baba	Kyushu Institute of Technology	dementia, Classification, image registration
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
BILEESH BABU	VELLORE INSTITUTE OF TECHNOLOGY	Brain age prediction, deep learning
Vladimir Babushkin	UAEU	epilepsy,seizures
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
Eunchan Bae	University of Pennsylvania	Segmentation
Jinhyeong Bae	IUPUI	Deep learning, Alzheimer's disease, Alzheimer's disease genetic risk factors
Hyunjung Bae	Seoul national university	M-IPAD
Jihyun Bae	Gachon University	Test module, Alzheimer's disease(AD)
jaehyung bae	Seoul National University Hospital	brain MRI
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
Joelle Bagautdinova	University of Pennsylvania	neuroimaging
Ali Baghayeri	Shahrood University of Technology	preprocessing data
Ali Baghayeri	Shahrood University of Technology	ADNI data analysis
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
Haleh Bahadori-Nejad	University of Washington	project
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
Xiaoyu Bai	Northwestern Polytechnical University	Deep learning; MCI; AD
Wenjun Bai	ATR	dynamic effective connectivity
Wenjia Bai	Imperial College London	image segmentation
Wenhao Bai	Shaanxi normal university	deep learning
Haotian Bai	Shanghai University	machine learning
Yang Bai	WHUT	123456
Jianling Bai	Nanjing Medical University	Alzheimer's disease,GWAS,Radiomics,gene-environment or gene-gene interactions
Kun Bai	University of Michigan	gene expression, DEG, ANOVA
Zhiyang Bai	Northwest Normal University	deep learning
xinhao bai	Henan university of technology	medical image registration and segmentation
Ahmed Baig	University of Queensland	perceiver transformer, neural networks
xiao baihui	JILIN University	135246xbh
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
Ashish Bajpai	Cognizant	Predictive Alzheimer Disease Progression using both the PACS & EMR data
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
Gokhan Bakal	Abdullah Gul University	text mining, machine learning, artificial intelligence, data mining
Susan Baker	Janssen R&D	Diagonsis, Progression, Biomarkers
Suzanne Baker	Lawrence Berkeley National Lab	longitudinal glucose metabolism
Ron Baker	University of Kentucky	Alzheimer's AD Dementia CARTS
Suzanne Baker	Lawrence Berkeley National Laboratory	AV45, R1
Mudathir Bakhit	Fukushima Medical University	DLPFC, tractography, connectome
Naman Bakhru	IIT Kharagpur	Hidden Markov Model, Bayesian networks
razieh bakhshandeh	Iran University of medical science	NONE
mahdiyeh bakhshi	Shahid Bahonar University of kerman	Transfer learning
Akhil Bakhshi	KCL	Schizophrenia
Mahdiyeh Bakhshi	Shahid Bahonar University of kerman	1q2w3e4r
mahdi bakhshi	iran	brain
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
Somrita Bakshi	Indian Statistical Institute	PET, MRI, PIB, AV45
Kavitha Bakshi	Ryerson	Medical Machine Learning
Abhishek Bal	Calcutta University	PET datasets, brain
Abhishek Bal	FIEM	Medical iamages processing
Diponkor Bala	Islamic University-Bangladesh	Brain MRI
Rukku Bala	Ericsson Inc.	dementia, alzheimers, mri, ai, clinical data
PAVITHRA BALA	LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING	ALZHEIMERS , EEG
mohammad Balabandian	Iran university medical sciences	alzheimer
Helena Balabin	Fraunhofer Scientific Computing and Algorithms Institute (SCAI)	Machine Learning, Multimodal Classification
Hossam Balaha	Mansoura University	https://hossambalaha.github.io/
Vibha Balaji	IISc	Computational analysis
Chetan Balaji	CIT Gubbi	Alzheimer's and Parkinson's Disease
Sai Sanjay Balaji	University of Minnesota	Deep learning, Causality, Brain connectivity
Nair Bini Balakrishnan	Hindustan Institute of Technology and Science	Alzheimer's, Reinforcement Learning, Deep Learning
Meenakshisundaram Balasubramaniam	University of Arkansas for Medical Sciences	drug discovery
kishore balasubramanian	Dr MCET	CNN, bio insired algorithms
Vahid Balazadeh Meresht	University of Toronto	Privileged Information, Causal Graphs, Time-series, VC-dimension
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	Explainable AI, Early Alzheimer, Embedding
Cristiano Baldassari	Università Gabriele D'Annunzio di Chieti Pescara	early alzheimer, topological data analysis
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
Dimitrios Baltos	Aristotle University of Thessaloniki	CNN, Alzheimer's, Neural Networks, Computer Vision
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
Alireza Banan	Birjand university	brain age estimation, brain age gap
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
Debojit Banerjee	Jadavpur University	MCI, Research, AD
Swayam Banerjee	Jadavpur University	Deep Learning, Image processing, Alzheimer's Detection
Abhijit Banerjee	Dr. B C Roy Engineering College, ECE	Deep Learning, Classification
Sweta Banerjee	Leibniz Institute for Analytical Sciences - ISAS	Alzheimer's, imaging, python, coding
Sattwika Banerjee	INSTITUTE OF NEUROSCIENCES KOLKATA	Alzheimers, Morphometric Analysis
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
Shivansh Bansal	JECRC University	Medical Image, MRI, CT Scan
Ketan Bansal	National Institute of Technology Andhra Pradesh	Artificial Intelligence, Deep Learning, NIT, India, Research
Deepika Bansal	The NorthCap University Gurugram	Machine Learning, Deep Learning, MRI Image
SANCHIT BANSAL	the university of hong kong	-
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
Pham Hoai Bao	International University - VNU-HCM	Artificial Intelligence
Lu Bao	Nanjing Normal university	Functional data analysis,FPCA,Block-wise missing data,Data imputation
liyan bao	null	null
Shancheng Bao	TAMU	MRI, Ultrasound
rui bao	University of Science and Technology Beijing	seraphim19730521
YIWEN BAO	University of Hong Kong	amyloid-PET
QiHan Bao	Weifang Medical University	statistics Instrumental variable
jinzhou bao	Beijing Normal University	research
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
Robert Barber	University of North Texas Health Science Center	Alzheimer's disease genetics
Philip Barber	University of Calgary	stroke; TIA; brain atrophy; dementia
Justin Barber	University of Kentucky	neuropsych testing, education, amyloid, wmh
János Barbero	Northwell Health	machine learning, convolutional neural networks
Florin Barbisch	FHNW	visual analytics, machine learning
Jordan Barbone	Cogstate	AD, CBB, Staging
Jordan Barbone	West Chester University	Independent, personal use
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
yassine Barhoumi	MRIMath LLC	Image registration and segmentation
Marco Barilari	Universitè Cathoulique de Louvain	VBM
Marco Barilari	Universitè Cathoulique de Louvain	VBM
Berardino Barile	Université Claude Bernard Lyon 1	Artificial Intelligence
Giuseppe Barisano	University of Southern California	perivascular spaces
Warren Barker	Mount Sinai Medical Center	Amyloid, cholinesterase inhibitor, memory
Nilesh Barla	PerceptronAI	AI, ML
chris barlow	The Open University	AD, Dementia, MCI, Biomarkers, Trisomy 21
Kumar Deep Barman	North-Eastern Hill university, Tura campus	Alzheimer's disease
Prapti Barman	National Institute of Technology, Arunachal Pradesh (INDIA)	Segittal Plane, Alzheimer Desease, Deep Learning
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
Ellie Bartlett	University of Sussex	Alzheimers
Christopher Bartlett	Nationwide Children's Hospital	latent trait, matrix completion, 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
Nauman Bashir	COMSATS UNiversity Islamabad	XAI; Deep learning; Automatic diagnostic; Concept
Usman Bashir	St Barts Hosptal	CNN
Maloof Basihir	Lovely Professional University	Alzhemier, Machine Learning , CNN
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,
Selim Başpınar	Eskısehir technical university	alzheimer
Cher Bass	King's College London	generative models, deep learning, biomedical data
Andrew Bass	Emory University	Interaction effects
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
Arindam Basu	University of Canterbury	Alzheimer's Disease, TBI, Polygenic risk scores
Soumen Basu	Indian Institute of Technology Delhi	Deep Neural Network, Multi-modal
Rikin Basu	Vellore Institute of Technology , India	deep learning , image processing , Alzheimer’s, diagnostics
ganga surendra basva	bharath university	datasets
Vishant Bata	Indian Institute of Technology,(BHU), Varanasi-India	PET Scans, Early Detection, Machine Learning
Layal Bata	Occidental College	Alzheimer's, shape analysis, machine learning
Rodrigo Batal Fernández	Universidad Politécnica de Madrid	Alzheimer continuum, predictive models
Rodrigo Batal Fernández	Universidad Politécnica de Madrid	Alzheimer continuum, predictive models
Veeky Baths	Birla Institute of Technology & Sciences, K. K. Birla Goa Campus	Cognitive diseases, Computational Neurosciences
Farwa Batool	UET Lahore	Alzheimer, Machine Learning, classification
Richa Batra	Weill Cornell Medicine	PRS, Metabolomics
Tanya Batra	Liverpool John Moore's University	Alzheimer's, early diagnosis, deep learning, machine learning, data analysis
Chakib Battioui	Eli Lilly	Tau Pet
Mark Battle	GE Healthcare	Centiloid, PiB, imaging windows
Ramu Battu	CTS	Alzheimers
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
Rida BAYI	Cadi Ayyad University	deep learning, segmentation
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
AA BB	CJLU	123456
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
Oscar Bedoya	Universidad del Valle	Alzheimer's diagnosis, AI, machine learning, neural networks, web application
Jenna Bedrava	University of Michigan	University of Michigan, Bayesian
Gary Beecham	University of Miami, Miller School of Medicine	genetics, neuropathology
Joanne Beer	University of Pennsylvania Perelman School of Medicine	imaging, multi-scanner
Simone Beer	Forschungszentrum Juelich	quantitative PET
Mirza Faisal Beg	Simon Fraser University	MR, LDDMM, segmentation, registration, statistical shape analysis
Rabiya Begam M	PSG College of Technology	Early Detection, Deep learning, Alzheimer's Disease
RAZIYA BEGUM	KLU UNIVERSITY	DEEP LEARNING ,MRI DATA
kauser begum	The Center for Advanced Genomics	disease-variants diagnostics
Sahana Behera	Lexington High School	Brain MRI Scans, Machine Learning network
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
Nazanin Beheshti	University of Houston	CNN, Spatitemporal locality, Classification,
Qumars Behfar	Cologne University hospital	Connectome
Hamid Behjat	Lund University	shape analysis, topological similarity, classification, early diagnosis
Mahdieh Behjat	Iran University of science and technology	Alzheimer desease detection prevention
Mahdieh Behjat Khatooni	Iran University of science and technology	Alzheimer desease detection prevention
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
Abel Belachew	University of Tennessee Health Sciences Center	1621
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
David Bell	University of Washington	Genentech 404 challenge
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
Kerena Belony	Boston University	Predictive models
Yulia Belousova	BMSTU	MRI, Alzheimer, hippocampus
Edoardo Beltazar	UCL	Machine learning, blood biomarkers
Caterina Beltrame	University of Trento	MRI studies dementia
Martin Belzunce	Royal National Orthopaedic Hospital	PET, PIB, Image Processing, Partial Volume Correction
Fu Ben	Zhengzhou Univerisity	Multimodal deep learning;Early diagnosis
Hui Ben	Meiji University	PET
Hui Ben	Meiji University	PET
iliass ben	faculté de mohammed premier	ai
aya ben abdallah	enetcom	brain , hippocampus , MRI , alzheimer 's , segmentation
Seif Ben Bader	Octilium	Dementia, continous monitoring of elderly people, advanced early warning systems
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
Marin Benčević	J. J. Strossmayer University Osijek, Ghent University	explainable AI, deep learning, counterfactuals, variational auto-encoders
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
Meriem Benhaddi	Cadi Ayyad University-Faculty of Sciences and Techniques	Alzheimer, early diagnosis, artificial intelligence, data analysis, PET, MRI
Andreana Benitez	Medical University of South Carolina	MoCA, Item Response Theory
Daniel Benjamin	National Bureau of Economic Research	Alzheimer’s, multi-ancestry meta-analysis, diverse populations
Idriss Bennacef	Merck & Co.	tau
Erin Bennett	The George Washington University Milken Institute School of Public Health	generalizability, epidemiology
Neal Bennett	Gladstone Institutes	metabolism
Lauren Bennett	Hoag Memorial Presbyterian	Alzheimer's disease, diabetes, verbal memory
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
M'hamed Bentourkia	University of Sherbrooke	Alzheimer; MCI; Beta amyloids; Tau; Imaging; Samples;
Meryem Benyoussef	Sorbonne University	Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment
El Mehdi Benyoussef	Hassan 2nd University of Casablanca	Machine Learning, Image Processing, Alzheimer's Disease
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
Miles Berger	Duke University Medical Center	proteomics, CSF, Alzheimer's disease, MCI, cognition
Swetlana Berger	UCB Biologicals	biological variability
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
Christian Bernal	California State University, Bakersfield	Statistics
Paul Bernal	Johns Hopkins University	Data Scientist in the making
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
Ginnie Berry	Belmont University	Imaging, Genetics, FTD
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
Max Bertolero	Turing Medical	diffusion, structural connectivity
Sydney Bertram	Clemson University	tbi, traumatic brain injury
Lars Bertram	University of Luebeck	GWAS, EMIF, QTL, PGS
Olfa Besbes	ISITCOM http://www.infcom.rnu.tn/content/	Machine and deep learning, early detection
Gela Beselia	I. Beritashvili Center of Experimental Biomedicine	Biomarkers
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
Conceicao Bettencourt	UCL Queen Square Institute of Neurology	epigenetics, white matter changes
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
SAMPA RANI BHADRA	ALIAH UNIVERSITY	FEATURE ENGINEERING
Sayantan Bhadra	Washington University in St. Louis	generative model, MRI
SAMPA RANI BHADRA	ALIAH UNIVERSITY	FEATURE ENGINEERING
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
Gaurav Bhalerao	University of Oxford	Brain, Dementia, Harmonization, MRI, Prediction, Quality control
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
Preethi Bhaskaran	NIT Trichy	dementia,alzheimer's
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
Saloni Bhatia	Researcher	Machine Learning, AI, ADNI
Roopal Bhatnagar	Critical Path Institute	missing data imputation
Kaushal Kishor Bhatt	Birla Institute of Applied Sciences	sMRI data, CNN, Deep CNN
Kaushal Kishor Bhatt	Om Sterling Global University	sMRI and fMRI
KAVITA BHATT	Delhi Technological University	Alzheimer, MRI, Disease Classification
Ruchir Bhatt	Nanostring technologies	Deep learning
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
Sudeepa Bhattacharyya	Arkansas State University	metabolomics, neuroimaging
ARINJITA BHATTACHARYYA	University of Louisville	shrinkage, logistic regression, variable selection, prediction
Kritib Bhattarai	Mayo Clinic	Reinforcement Learning, ANDIMERGE
Uttam Bhetuwal	Brown University	Deep learning,brain imaging
Pradnesh Bhike	AISSMS College of Engineering Pune	Study, CNN
Guneet Bhogal	San Jose State University	Alzheimers
Sonali Bhosale	SKNCOE	ALzheimer's disease, hippocampus, mri images, deep learning
Rimmon Bhosale	IIT Palakkad	CNN, deep learning, medical images
SAJAN BHOSALE	SANJAY GHODAWAT UNIVERSITY	Alzheimer's Dataset
Mohammad Alfrad Bhuiyan	Louisiana State University Health Shreveport	Alzheimers, Cognitive
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
Xin Bi	Northeastern University	brain network, fMRI, Alzheimer's Disease
Fan Bi	New York University	machine learning, screening
Xinyuan Bi	Shanghai Jiao Tong University	AD metabolomics
Hanwen Bi	Columbia University	Functional connectivity, VAE
Cheng Bi	Chinese Academy of Sciences	Medical image analysis; Artificial intelligence
shijia bian	EMORY UNIVERSITY	AD disease progressin
Chun Mei Bian	Tongji Medical College,Huazhong University of Science and Technology	bile acid;intestinal microorganism;Alzheimer's disease
Zhangxing Bian	Johns Hopkins University	aging, DTI
Shijia Bian	Emory University	data harmonization
Jintang Bian	Sun Yat-sen University	Multi-Modal Biomarker， Alzheimer’s Disease， machine learning
Wajiha Bibi	Aston University	biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement
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
Zarina Biktagirova	National Research Nuclear University MEPhI	Machine Learning-Based Classification of Dementia Types
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
Waleed Bin Tahir	NUST	Alzheimer's disease, CNN, MRI, classification
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
Harshitha Bingi	University of Hyderabad	Brain networks, Topological Data Analysis
Ni Bingjie	Huazhong University of Science and Technology	alzheimer's disease
Ni Bingjie	Huazhong University of Science and Technology	Deep Learning、Neurofunctional assessment
Alper Bingol	LMU	MCI, AD, mri, fmri
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
Li Bingyu	Yantai Yuhaungding hospital	excellent
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
Ram Bishnoi	University of South Florida	Alzheimer's disease, Neuropsychiatric Symptoms
Anna Bishop	Boston University	deep machine learning, MatLab, AlexNet, neural network
Lindsey Bishop	UTHealth Houston McGovern Medical School	Normal pressure hydrocephalus, Alzheimer's disease, cerebrospinal fluid
Bharat Biswal	NJIT	fMRI; functional connectivity, brain
Rahul Biswas	University of Washington, Seattle	Functional connectivity, Alzheimer's disease, Dynamic Causal Model
Shameek Biswas	Bristol Myers Squibb	genetics, imaging, biomarkers, cognitive decline
Tapabrata Biswas	Alzheimer's research	Alzheimer's research
Rashni Biswas	Amrita Vishwa Vidyapeetham	Rashni
Mampu Biswas	Amrita Vishwa Vidyapeetham	Mampu
Sanglap Biswas	IEM	Alzheimer
Subhrangshu Bit	Ramakrishna Mission Vivekananda Educational and Research Institute	Algorihtm, Machine Learning Preclinical Alzheimer's disease
Anas Bitar	Damascus university	Machine learning, Neurology
Felix Bitzer	University Hospital Bonn	FDG PET, epilepsy
Malin Bjornsdotter	Sahlgrenska University Hospital	stroke, epilepsy, aging
zhang bl	JiLinUniversity	Prediction ,Alzheimer,Graph Neural Network
Cindy Black	ShenZhen Institute of Advanced Technology Chinese Academy of Sciences	Biomedical imaging processing; Alzheimer disease; PET
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
pariya bnt	university of tabriz	brainage , MRI
qun bo	Shanghai Maritime University	FC
yu bo	zhejiangmedicaluniversity	alzhermer's disease
Xiaolin Bo	University of Science and Technology of China	Statistical longitudinal data analysis
Miguel Bocard	Texas A&M university	Analysis, Research, Statistics, Data
Martina Bocchetta	Brunel University London	teaching, biomarkers, novel segmentation methods (manual and automated)
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
Eric Boerwinkle	The University of Texas Health Science Center at Houston	stroke, alzheimers,
Bojan Bogdanovic	Ss. Cyril & Methodius University in Skopje	bioinformatics, prediction, AD, university
Jennifer Bogert	Janssen Research & Development, LLC	cognition, Alzheimer's Disease
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
Prasanth BOKAM	CHL	MRI
Arun Bokde	Trinity College Dublin	MRI, grey matter, volumetric, hippocampus
Joseph Boktor	California Institute of Technology	microbes, WGS
Mary Regina Boland	University of Pennsylvania	Data Mining; Machine Learning; Clinical Data
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
Antonia Bonfa	FHNW	machine learning
Luke Bonham	UCSF	FDG PET
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
Nattaya Boonmee	Chulabhorn Royal Academy	DTI FA MRI Alzhaimer's disease
Daniel Bor	University Of Cambridge	information theory
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
chandran bose	NIELIT	alzheimers data
Aditya Bose	Manipal University Jaipur	GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data
Marcos Bosques	Florida International University	neural networks; machine learning; classification;
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
Samia Boubaya	university of m'sila	neuroimaging, machine learning, fMRI, EEG
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
bucha bouchra	FSt	1234
Guelib Bouchra	Abd el hamidm mehri Constantine 2	Data integration , heterogeneous data, Alzheimer, machine learning
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
Mustapha Bouhrara	NIH	Neurite density index; NODDI; MCI; Alzheimer’s disease; White matter.
mohamed bouizakarne	vub	Alzheimer
Wafa Boukellouz	university of ferhat abbas setif	MRI, CTm prediction
wafa BOURAS	mohammed boudiaf university	ptsd iomt
Abdelkader BOUREGAG	Georgetown	data, 404 challenge
Pierrick Bourgeat	CSIRO ICT Centre	Segmentation, registration, longitudinal study
Jessica Bourgin	Université Savoie Mont Blanc	emotion; attention; amygdala
Jessica Bourgin	Université Savoie Mont Blanc	Amygdala; Attentional network
Caroline Bouter	UMG Goettingen	PET, FDG, Amyloid
Younes Bouterfa	Uclouvain	AD, Detection, CNN, MRI
thebti Boutheina	Monastir	neuro imagerie, alzheimer disease, multiple sclerosis
Sophie Boutin	Université de Montréal	Sex differences, Subjective Cognitive Decline
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
Rory Boyle	Massachusetts General Hospital	Resistance, Resilience, Sex Differences, Neuroimaging, PET
Christina Boyle	USC/IGC	AD MCI Conversion MRI
Yang Boyu	Sun Yat-Sen university	AD, longitudinal data, MRI image data
Serdar Bozdag	University of North Texas	machine learning, data mining
Meri Bozulanova	Contractor	imputation
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
Mateus Braga	Universidade Federal de Minas Gerais	AI, Machine Learning, Computer Vision
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
Paulo Branco	Northwestern University	Pain, Subcortical Volume
Lodewijk Brand	Colorado School of Mines	haploview, plink
Abby Brand	Washington University School of Medicine	Plasma AB, FNIH, amyloid PET
Paolo Brandolini	Università degli Studi di Milano	ADNI1, Deep Learning, GAN
Charles Brandt	Indiana University	data management download
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
Elvira Brattico	University of Bari Aldo Moro	alzheimer's disease (AD), cognitive reserve, functional connectivity, fMRI
Christina Braun	Fraunhofer-Gesellschaft	AI-based model
Mario Alejandro Bravo Ortiz	Universidad Autonoma de Manizales	Analysis, Alzheimer, Deep Learning
Juan Sebastián Bravo Santacruz	Pontificia Universidad Javeriana	MRI, EMCI, early, detection, deep learning, Neuroimaging , image processing,
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
Maria Bretones	Universitat Politècnica de Catalunya (UPC)	AI models, explainability, XAI, decision support AI
James Brewer	UCSD	subregional change MRI, PET
nour brh	ensam rabat	AD
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
Dana Broberg	Western University	diffusion weighted images, tractography, testing
Thibaud Brochet	Université de Rouen / LITIS	Deep Learning Classification Segmentation Unsupervised multitask
Esther Bron	Erasmus MC	Classification
Sofia Broomé	Therapanacea	alzheimer’s disease, disease progression, statistical methods, machine learning,
Jared Brosch	Indiana University	exposome risk factors
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
Jarrel Brown	Pennsylvania State University	fMRI
Shael Brown	McGill	Connectome harmonics, Manifold learning
Jesse Brown	UCSF	fmri; connectivity; atrophy
Benjamin Brown	Belmont University	Dementia;Cognition;sex differences
Thad Brown	Personal Interest	pydicom
Chiara Brück	ErasmusMC	Microsimulation modelling; Public health; Dementia; Epidemiology
Sarah Brueningk	ETH Zurich	Interpretability, machine learning, risk prediction
Divya Brundavanam	Karolinska Institutet	predictive modeling, multimodal MRI
Iva Brunec	University of Toronto	Hippocampus, Memory decline, fMRI
Antonio Brunetti	Polytechnic University of Bari	Explainable Deep Learning; Neurodegenerative Disease
Davide Bruno	Liverpool John Moores University	memory; cognition; digital biomarkers
Jennifer Bruno	Stanford	connectomes, PET, machine learning, amyloid, tau
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
Andrew Bryant	University of Florida College of Medicine	pulmonary hypertension, interstitial lung disease, emphysema and OSA
Andrew Bryant	University of Florida College of Medicine	pulmonary hypertension, interstitial lung disease, emphysema and OSA
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
Anas Bsoul	Jordan University of Science and Technology	Alzheimer; amyloid; Neural Network
weixiao bu	Weifang Medical University	propensity scores
Qiushi Bu	Academy of Mathematics and Systems Science	tensor regression, CP tensor decomposition, model averaging
Zhiqi Bu	University of Pennsylvania	Missing value imputation
Giovanna Bubbico	ITAB, Institute for Advanced Biomedical Technologies	DTI bilingualism normal aging
OMONIGHO BUBU	UNIVERSITY OF SOUTH FLORIDA	sleep deprivation, Alzheimer's Disease, beta-amyloid
Marco Bucci	Karolinska Institutet	PET, CSF
Marco Bucci	University of Turku	Machine learning, radiomics, dementia, prediction
Hans-Georg Buchholz	University Medical Center	NEUROSTAT, SPM12
Bradley Buchsbaum	Baycrest Centre for Geriatric Care	fMRI PET correlation
Marcus Buchwald	Universität Heidelberg	deep learning, causal inference, counterfactual prediction
Maciej Buciński	University of Adam Mickiewicz	Neuroimaging, Deep Learning, Data Science, Machine Learning
Hudson Buck	Santa Casa de Sao Paulo School of Medical Sciences	Alzheimer, diabetes, hypertension, chronic diseases
Katharina Buck	Roche Diagnostics	Elecsys CSF Measurements
Virginia Buckles	Washington University in St. Louis	DIAN ADNI
Rachel Buckley	Massachusetts General Hospital/Harvard Medical School	subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Gabriel Bucur	Radboud University Nijmegen	causal inference, Mendelian randomization, Robust estimation, Bayesian inference
Charley Budgeon	University Of Western Australia	Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
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
Niklas Bühler	Technical University of Munich	Deep Learning, Connectome, Diagnosis
Duc Toan Bui	Sungkyunkwan University	GAN
Mai Bui	HCM Open University in Vietnam	Machine learning in medical image
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
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,
Darren Buono	Star Radiology	DTI, mTBI
burak burak	HACETTEPE UNIVERSITY	transformer
jeffrey burgdorf	Northwestern University	EEG alpha delta
Brady Burgess	Alector	microglia
Ninon Burgos	University College London	PET synthesis
Begüm Burhan	Çukurova University	brain lesions, comparison study
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	AvidRadiopharmaceuticals	Tau, Amyloid
Samantha Burnham	CSIRO	Alzheimer's; genetics, Validation, Longitudinal
Kory Burns	Sandia National Laboratory	Machine Learning, Deep Learning, analytics, reproducibility
Mina Burns	London School of Economics	Survival analysis, machine learning
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; Prediction; Two-stage model
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
Umme Habiba Bushra	IIUC	Alzheimer disease, early detection, machine learning algorithms
Stephanie Buss	Beth Israel Deaconess Medical Center	cognitive reserve, exercise, education, music, social
Aurelie Bussy	McGill University	Hippocampus Segmentation Aging Alzheimer's Disease
Bernabe Bustos	Northwestern University	WES, Burden, rare variant analysis
Paul Butler	Biogen	neuropsychology, Alzheimer's disease, MCI, aging
Tracy Butler	Weill Cornell	ASL
Mitchell Butler	University of Illinois at Chicago	technical training; neuroimaging; python
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
h bw	sylu	data
Samantha By	Hyperfine	segmentation
Samantha By	Bristol Myers Squibb	diffusion
Jiyoung Byun	KAIST	Alzheimer's disease
Jihyun Byun	University of Johannesburg	Alzheimer's Disease, computer-aided diagnosis, deep learning
Seonjeong Byun	Uijeongbu St Mary's Hospital College of Medicine, The Catholic University	texture, functional connectivity, mild cognitive impairment, progression
Michał Błotko	Silesian University of Technology	MRI, Alzheimer, Data Science
Jithendranath C	none	Mri-images,transfer learning,dense nets
Neerav C	MUJ	Machine Learning, Early Detection, Study
Keerthika C	vit	ALZHEIMER, DEEP LEARNING, IMAGE PROCESSING
Sreelakshmi C	htic	Deep learning
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
Santiago Cabrera	Universidad Politecnica Salesana	red convolusional
Jorge Cabrera	Universidad Politecnica Salesiana	Alzheimer, network convolutional, prediction
Jesús Cabrera Álvarez	Universidad Complutense de Madrid	Brain Simulation; NMM;
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
Karla Fernanda Cáceres Alvarado	Tecnologico de Monterrey	ML, Data science, classification
Frederic CADET	University of La Reunion	Machine Learning, Biochemistry, Genomics
Xavier Cadet	Imperial College London	Machine Learning, Dementia
Alexandre Cafaro	TheraPanacea	Multiple sclerosis, healthy, inpainting
Refsi Cahya	Brawijaya	brawijaya
Samuel Cahyawijaya	HKUST	deep neural network, alzheimer disease, sequence modeling
Chao Cai	University of South Carolina	Survival Cure model, Alzheimer’s disease, Anticholinergic drug, AD Biomarker
Chao Cai	Jiangxi University of Finance and Economics	Federated Learning
erik cai	wenzhou university	multimodal neuroimaging
Fanco Cai	CQ	1
yuan cai	Chinese university of HongKong	plasma biomaker ,AD pathology
Yan Cai	Taizhou First People's Hospital	Alzheimer's Disease; CSF; biomarkers
Wenjie Cai	Harvard University T.H.Chan School of Public Health	neuropsychiatric symptom; cognition; Alzheimer's disease
bingyang Cai	SJTU	AD MRI PET
Guoen Cai	Union hospital	neurodegeneration，APOE,DTI
Shangyu Cai	Szu University	AD FMRI
Hong xin Cai	Beijing Institute of Technology	Alzheimer's disease
Hanlin Cai	Sichuan University, West China hospital	mother39
Jiaxin Cai	Xi'an Jiaotong University	AD, MCI, dementia, MRI, PET
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
Jiahui Cai	stu	AD
Jinhua Cai	Sun Yat-sen Memorial Hospital, Sun Yat-sen University	lipids, apolipoprotein, cognition
Guo en Cai	Union hospital	apolipoprotein E，β-amyloid ，neurodegeneration，AD
Lingrui Cai	Ann Arbor Algorithms	autoencoder, unsupervised learning, feature extraction
Yudong Cai	College of Animal Science and Technology	Type II diabetes, hippocampal
Hongjie Cai	Shanghai Jiaotong University	AD/MCI diagnosis, deep learning
Congbo Cai	Xiamen University	Image reconstruction, Multimodal image, Deep learning
Hailin Cai	Chongqing University	AD,
Chunting Cai	Xiamen Univeersity	cct724724
ping cai	Xidian University	Functional connectivity . Amnestic mild cognitive impairment
Ning Caichen	IT	01234567890
shi cailing	affiliated hospital of north sichuan medical college	structure MRI, functional MRI, graduation project
francesca caiozzo	other	alzheimer
yan caiying	Nanjing Medical University	early diagnosis，Imageology，MRI
Michele Calabrò	Università della Calabria	PRS Spark
Ismael L Calandri	Fleni	Machine learning, normal ageing
Toro Caleb	University of North Dakota	biomarkers, feature selection methods
David Calhas	Instituto Superior Técnico, Universidade de Lisboa	EEG, fMRI, Diagnosis, Machine learning
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
Marina Camacho	University of Barcelona	Artificial Intelligence, dementia, predictors, exposome
Eduardo Camacho	UPV	Artificial Intelligence, lesion segmentation
Rui Camacho	Faculdade de Engenharia da Universidade do Porto	Multi-Relational Data Mining
Rafael Camarero Rodríguez	Universidad Francisco de Vitoria	Artificial intelligence, final degree's proyect
Aldo Camargo	University of Maryland of Baltimoree	Longitudinal study,ASL, PET-FDG,
Sabrina Camargo	Universidad Nacional de San Martín	Functional connectivy, BOLD analysis
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
Silvia Campanioni	Galicia South Health Research Institute, Hospital Álvaro Cunqueiro	Partial Volume Correction, Epigenetic Conditions, Manifold Learning
Alex Campbell	University of Cambridge	deep learning, machine learning, fmri, diagnosis, unsupervised
Irina Campbell	The University of Strathclyde	Alzheimer’s disease; psychotic symptoms; behavioural symptoms
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
Rodrigo Canovas	CSIRO	Bioinfomatics, alzheimer and dementia
Jose L. Cantero	Pablo de Olavide University	sleep2019
Christelle Cantet	Gerontopole CHU Toulouse	omega-3, cognitive function
Jiahang Cao	Beihang University	deep learning model
Guanqun Cao	Auburn University	functional data, ADNI
Jiguo Cao	Simon Fraser University	brain network, QTL mapping
weifang cao	shandong first medical university	aging neuroimaging
Shyu Cao	UESTC	AlextNet for AD prediction
keyi cao	Suzhou University of Science and Technology	AD
Bing Cao	university of north carolina at chapel hill	medical image synthesis
Yarui Cao	Clemson University	early detection of Alzheimer's Disease
Xingyu Cao	UESTC	dynamic MRI, deep learning
Pengjie Cao	Taiyuan University of Technology	Hypergraph neural network， sMRI， Alzheimer's disease
Eric Cao	Albert Einstein College of Medicine	AI, CNN, amyloid-beta
Jiahang Cao	Beihang University	区块链
Yan Cao	University of Texas at Dallas	image analysis
Yuzhu Cao	University of Science and Technology of China	Image Registration
Zhibin CAO	HongKong,China/ The Hong Kong University of Science and Technology	medical image processing
Yu Cao	Beijing University of Technology	multimodal data, Alzheimer's disease, accurate diagnosis
Yikang Cao	Jiamusi University	graduation，deep learning research
Gongpeng Cao	Beijing University of Posts and Telecommunications	artificial intelligence, precise diagnosis of AD
Bo Cao	University of Texas Health Science Center at Houston	Machine learning
chen cao	Nanjing Medical University	TWAS, imaging-wide association study, MRI, machine learning
hongjun cao	YanShan University	数据
Xuan Cao	University of Cincinnati	sMRI, fMRI, radiomics, generalized linear models
Yujie Cao	Xi’an Jiaotong University	brain image related research
yingli cao	Jiangnan University	study
Xuexiang Cao	Philips	Alzheimer, deep learning
Jiahang Cao	Imperial College London	Alzheimer's disease, deep learning
Lingcan Cao	Xi'an Jiaotong University	brain network dynamics, default mode network
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
Manuel Jorge Cardoso	KCL	Synthetic Data, Longitudinal
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
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
Hannah Carns	Penn State College of Medicine	Access for intern on study #18557
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
Carolina Carpio	uc3m	ML
Thomas Carr	University of East Anglia / Norfolk & Norwich University Hospitals	Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
Valerie Carr	San Jose State University	teaching
Minerva Carrasquillo	Mayo Clinic	CAA, neuroimaging, intracerebral hemorrhage, GWAS, cerebrovascular
Cristhian Carrillo	Universidad Autonoma de Occidente	Neural network, CNN, Alzheimer
Fernando Carrió Argos	Instituto de Física Corpuscular - University of Valencia	Deep Learning, Super Resolution, FPGA
Anna Carroll	The Hill School	Hill School
Mollie Carruthers	Victoria University of Wellington	Epistasis, GWAS, Bioinformatics, Alzheimer's, SNPs
Greg Carter	The Jackson Laboratory	epistasis, pleiotropy, genetic association
Ashley Carter	Mass General	Alzheimer Disease
Jake Carus	Biogen	Symposium
Emily Carvajal	Universidad del Valle	preprocessing, standarization
Sofia Carvalho	Universidade do Minho	neuroimaging, mri, alzheimer, prediction
Alexandra Carvalho	Instituto Superior Tecnico	Time series analysis
Vítor Carvalho	IF SUDESTE MG	MRI Image, Machine-learning, Alzheimer's Disease
Greg Cary	Jackson Laboratory	genetic association, drug targets
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
Elena Casiraghi	Università degli Studi di Milano	Machine learning, Patient networks, Explainability, Interpretability
Svenja Caspers	University Düsseldorf; Research Centre Jülich	normal aging, interindividual variability, brain structure, connectivity
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
Tonnar Castellano	Vanderbilt University Medical Center	Harmonize
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
Eduardo Castro	IBM Research	longitudinal, Alzheimer's disease, multimodal, multivariate, predictive
Paula Castro	Universidad Carlos III Madrid	Alzheimer, Machine Learning, Multi-Modal data, MRI, SupervisedLearning
Mac Gayver Castro	University Center Christus	Alzheimer disease, imaging, algorithms
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
ab cd	nna	123
Bogdan Cebere	University of Cambridge	Genentech's 404 Challenge
Bogdan Cebere	University of Cambridge	kaggle
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
Inês Celorico	ISCTE	college; bayes; study
Leopoldo Cendejas Zaragoza	Summa Health	automatic segmentation, hippocampus, convolutional neural network
Ricardo Cerri	Federal University of Sao Carlos	machine learning, SNPs, Alzheimer Disease
Stefano Cerri	DTU	segmentation atrophy
Tess Cersonsky	Brown University	AD Risk, Machine Learning, Predictive Modeling
Marcela Cespedes	CSIRO	Cognitive accelerators and non-accelerators, AD disease sigmoid modelling
Mustafa Cetin	Intel	multi model data set
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	CNN, curvet, ADNI
Chahd Chabib	Khalifa University	deep learning
Saber Chacha	University of Kasdi Merbah Ouargla	Medical Image, MultiModeling, Image Analysis
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
Consuelo Chafer Pericas	Instituto de Investigación Sanitaria La Fe	imaging, plasma, biomarker, clinical data, Alzheimer Disease
Pavan Chaggr	University of Oxford	Alzhiemer's, morphology, degeneration
Wang Chai	University of Chinese Academy of Sciences	right-censored covariate
Yaqiong Chai	INI	MCI AD
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
Mritunjoy Chakraborty	North South University	Machine Learning,Deep Learning
Sean Chakraborty	University of Houston	MRI, PET, MATLAB
Moumita Chakraborty	The University of Texas MD Anderson Cancer Center	Statistical modeling; Network; Genomics; Brain imaging;
Mainak Chakraborty	Nitte Meenakshi Institute of Technology	CNN , Alzheimer's, MRI
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
nour chami	polytechnical school maurice audin	alzheimer mri
Harshil Champaneria	Arizona State University	Research Project on Deep Learning
Diane Chan	Massachusetts General Hospital	Neuromodulation, gamma oscillations, systems neuroscience
Katie Chan	City University of Hong Kong	Molecular epidemiology and bioinformatics
CANDACE CHAN	UNIVERSITY OF CALIFORNIA, SAN FRANCISCO	diagnostic tests, biomarkers, early detection, genetic
Elaine Wan Ling Chan	International Medical University	SVM classifier for the determination of progressive deterioration of AD
Yi Hao Chan	Nanyang Technological University	Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets
Jason Chan	University of Calgary	Gene expression, amyloid, tau, neurodegeneration, PET, MRI
Eldon Chan	University of California, Berkeley	Deep Learning, Alzheimer's Recognition and Prediction
Christina Chan	Michigan State Univ.	NCI-DREAM 8.5
Kannie WY Chan	City University of Hong Kong; The Johns Hopkins University School of Medicine	MRI, AD, deep learning
Tao Chan	Tsinghua Shenzhen International Graduate School	AD, hippocampus, deep learning, diagnosis
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
shekhar chander	NIT Arunachal Pradesh	deep learning,Alzheimer, Machine learning
Hannah Chandler	Cardiff University	MRI PET genetic risk
Trevor Chandler	Artificially Intelligent	Alzheimer’s, Amyloid, Memory, Brain
Avinash Chandra	Queen Mary University of London	MCI, AD, lifestyle risk, dementia prevention
GAURI CHANDRA	IIT, Delhi	Alzheimer's Disease, Neuroscience, Optimal Controller
Dinesh Chandra	MNNIt, Allahabad, UP, India	AD
Avinash Chandra	King's College London	Alzheimer's disease; amyloid; tau; genetics
Subhadeep Chandra	National Institute of Technology, Durgapur	CNN
Shantanu Chandra	ZS	digital twin, synthetic data generation
mahi chandrakar	nit raipur	dep learning
Ganesh Chandrasekaran	University of Pennsylvania	CSF, Biomarkers, Cognition
Tarun Chandrasekhar	IITD	Alzheimer's Prediction
Pramod Bharadwaj Chandrashekar	University of Wisconsin Madison	Deep learning, multimodal integration
Ya-Hsuan Chang	University of Kentucky	Data analysis
Can Chang	Being Normal University	neuroImage; deep learning;disease prediction
ali chang	Advantech	alzheimer
Jeryn CHang	The University of Queensland	Hypothalamus; BMI; DWI
Wonjae Chang	Neurocle	AD, AI, Auto Segmentation
chenjie chang	Xinjiang University	reproduce;paper
HanI Chang	Ajou	AD
Zeyu Chang	University College Dublin	multi-modal PET MRI
Fou Chang	Zhejiang University	Alzheimer's disease diagnosis Deep learning Deep neural networks
Minyu Chang	Cornell University	Fuzzy-trace theory; factor analysis
hsin-wen Chang	National Tsing Hua University	Alzheimer
Ya-Ning Chang	National Cheng Kung University	Interpretability; Machine Learning
Kai CHi Chang	National Yunlin University of Science and Technology	reserch CNN
JUDY CHANG	Chang Gung memorial hospital	AI
Changgee Chang	University of Pennsylvania	integrative analysis, multi-task learning
Timothy Chang	University of California, Los Angeles	Rare variant analyses, genetics, whole genome sequencing
yetong chang	Harbin Medical University	Alzheimer's disease;imaging;clinical treatment
Ze Chang	huazhong university of science and technology	diagnosis
WeiTang Chang	UNIV OF NORTH CAROLINA AT CHAPEL HILL	dMRI
RUI CHANG	University of Arizona	Alzheimer's, Sex difference
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	Fujian Medical University	brain regions; Alzheimer's disease
wu chao	Nanjing Medical University	Prediction; AD; ANN
suo chao	xiangtan university	Due to low intensity contrast around ROI boundary and large inter-subjectvarian
wang chao	fujianyikedaxue	study； Alzheimer's disease；clinical manifestations
bu chao	DONGHUA UNIVERSITY	AD
wang chao	North University of China	Wl940414.+0
Jiang Chaok	China University of Mining and Technology	research
Ma Chaoran	Changzhou University	fMRI Beginners
Aymen Chaouch	LABTIM	image fusion
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
Stylianos Charalampous	UCL	MRI; Machine learning; Deep Learning; Computer Vision; Tractography;
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
ishanu chattopadhyay	University of Chicago	AD, Machine Learning, Comorbidity, EHR
Dimitrios Chatzakis	University of Patras	computer vision, deep learning
Wing Fung Chau	Cardiff University	Big Data, lipids and metabolites
Tushar chaudhary	REVA University	GMV, GMD, T1 weighted images
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
Nishant Chauhan	Daegu University	Functional connectivity, deep learning, classification, Alzheimer's, MCI
Mohit Chauhan	IIT Indore	survey, literature
Laurent Chauvin	Ecole de Technologie Superieure	Local Features, Subject Identification
Shital Chavan	SITS	MRI,CT,AD,MCI
Khushi Chavan	Dwarkadas Jivanlal Sanghvi College Of Engineering	Alzheimer, Mild Cognitive Impairment, Early MCI, and Late MCI
Chaitanya Chavda	HL Institute of Computer Applications	Alzheimer , Image data sets
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
Aman Chawla	Dayananda Sagar University	neuroimaging, validation
Stylianos Chazichronis	National and Kapodistrian University of Athens	Alzheimer's disease, Supervised learning, AD development
liwei che	The Pennsylvania State University	Federated Learning, Multimodal Learning, Machine Learning
XQ CHE	shanghai jiaotong university	genotype-Neuroimaging analysis
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
Bo Chen	Hangzhou Dianzi University	fMRI, functional connectivity
Yu Chen	Central South University	Do some researches about the AD
Quan Chen	wuhan union hospital	freesurfer
yu chen	hefei university of technology	deep learning
Xi Chen	Sun Yat-sen University Cancer Center	Limit sample size; Meta-learning; Model pretraining
Qianwen Chen	University of Illinois at Urbana Champaign	GWAS Analysis
Ziyi Chen	University of Washington	AD
Jinglong Chen	Guangzhou First People's Hospital ,South China University of Technology	MCI,dementia,VBM, DTI, functional connectivity,DFPLC
Yu-An Chen	National Yang-Ming University	Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Bocheng Chen	huazhong university of science and technology	graphic analysis, PET
Tianhua Chen	University of Huddersfield	fuzzy systems, convolutional neural network, clinical decision support
YUHUA CHEN	National University of Singapore	Mutimodal fusion
ifan chen	National Yang Ming Chaio Tung University	Machine Learning
Grace Chen	North China Electric Power University	iloveyouCSL@1214
Shuang-Qing Chen	the Affiliated Suzhou Hospital of Nanjing Medical University	Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning
Jean Chen	Baycrest Health Sciences	perfusion, metabolism
Yingchuan Chen	Beijing Tiantan Hospital	PD, fMRI, machine learning
Bin Chen	Tongren hospital of wuhan university	ApoE, AD, brain, cognition
Sherry Chen	Western University	Alzheimers, longitudinal,cholinergic
Jiong Chen	University of Pennsylvania	Network neural science, multiscale parcellation, functional connectome
EDDIE CHEN	Stony Brook	machine learning, AI, MCI, AD
Kefan Chen	university of sydney	Alzheimer's patients
yaru chen	Jiangsu university	Health analysis
Huan Chen	Johns Hopkins Bloomberg School of Public Health	FDR control, variable selection
Lin Chen	Johns Hopkins University	MRI, PET
Ming-Hui Chen	University of Connecticut	Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Lele Chen	Nanjing University	fmir, lifestyle, AD, Comorbidity, brain network
Qianjing Chen	University of P	AlzData
Hao Chen	Peking University	gene expression, rs-fMRI, Functional Network, Integrative Analysis
Chang-Le Chen	National Taiwan University College of Medicine	Diffusion MRI, White matter, Fiber cross-section
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis, algorithm
Chao Chen	Stony Brook University	Image analysis, deep learning.
jiaao chen	Queen's University	research
Haoyu Chen	University of Chicago	image classification, Alzheimer's disease
Gan Chen	University of Louisville	Hidden Markov Model, Disease Progression
durong chen	shanxi medical university	Parkinson
Nan Chen	microsoft	AD
Xu Chen	SAS Inc	Machine Learning
Jianwei Chen	Northeastern University, China	neural network Alzheimer's disease
wuyang chen	Central South University	multimodal,registration
Shanshan Chen	the Affiliated Brain Hospital of Nanjing Medical University, Nanjing	Alzheimer's disease;Mild cognitive impairment;Subjective cognitive decline
yanghui chen	tongji hospital	biomarkers
Yi Chen	Zhejiang University	genes, AD, tau, beta-amyloid
jingyi chen	nanchanghangkonguniversity	MRI， brain segmentation
Rongqin Chen	Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences	direct and indirect structure-function causal influence in brain
Hongyu Chen	Zhejiang University	computer graphics; Medical Imaging
Geng Chen	Inception Institute of Artificial Intelligence	hippocampus segmentation
Rong Chen	University of Maryland School of Medicine	machine learning
Siyi Chen	U of MN	GWAS
Lihui Chen	Sichuan University	Academic study
Guangxin Chen	University of Auckland	research
Tong CHEN	City University of Hong Kong	classfication, CNN, explainable AI.
yawen chen	Shanghai Maritime University	AD
Zhuo Chen	University of Arizona	Data integration
HONGKAI CHEN	Juntendo University	Life1Dream
liangming chen	Lanzhou University	neural network, deep learning, Alzheimer
Yuanyuan Chen	Northwestern Polytechnical University	Alzheimer’s disease; Mild cognitive impairment;Deep learning
Can Chen	South China Agricultural University	research, experiment
haoyuan chen	Northwest Normal University	predict onset time, deeplearning
saiyuan chen	重庆邮电大学	study
Ting-Huei Chen	Laval University	structural equation modeling
Xiaozheng Chen	Xiamen University	neuroimaging, dynamic functional connectivity, deep learning,
Yihe Chen	Second Affiliated Hospital，Zhejiang University School of Medicine	perivascular space
wu chen	Huazhong University of Science and Technology	image processing
Gang Chen	Medical College of Wisconsin	fMRI, MRI
Ruijing Chen	Yunnan University	distributed statistics analysis
Jiu Chen	Nanjing Medical University	AD, aMCI, DTI, sMRI, fMRI
Xiaocong Chen	The University of New South Wales	Early Detection, Machine Learning
SHAOBO CHEN	Jinan University	colorization;regions segmention;unsupervised learning
jiamin chen	GDUT	segmentation
Tao Chen	Hefei University of Technology	Deep learning, machine learning, classification
YINGJIA CHEN	Genentech	safety
Guan Wen Chen	NTHU	Alzheimer
Zeyuan Chen	Shandong Normal University	Registration
William Chen	MagQu LLC	Longitudinal study, differentiate diagnosis, neurodegenerative diseases
minghao chen	East China Normal University	Causal Mediation analysis, MRI data，Alzheimer disease
Baolin Chen	Shanghai Uiversity of Finance and Economics	functional data analysis, samples of density functions
Wanyi Chen	Zhejiang University	machine learning; multi-modal
Ke CHEN	University of Nottingham	machine learning, early diagnose
zhenru chen	University of Missouri - Columbia	Drug prediction, Alzheimer's
huachang chen	Vanderbilt University Medical Center	imputation; methodology; evaluation; bioinformatics
Yu-Chi Chen	Monash University	cortical morphology, machine learning
Li Chen	University of Washington	Image processing
yulong chen	zhengzhou university	MRI hippo subfeild segmentation
peng chen chen	Chongqing University of Posts and Telecommunications	研究
Xiao Chen	Amy Medical University, Daping Hospital	Amyloid PET, Alzheimer’s dementia, Amyloid staging
fen yang chen	Zhejiang Chinese Medical University	fmri、smri、dti、AD
LINFENG CHEN	sixth affiliated hospital of sun yat-sen university	3D slicer
Chien-Wei Chen	China Medical University Hospital	artificial intelligence, medical image,genetic data
Yiming Chen	University of Maryland	neural network
Qian Chen	Nanjing Drum Tower Hospital	Subjective memory complaint, Neuroimage, Biomarker
Zhiying Chen	Capital Medical University	synaptic damage,Nfl
Zihao Chen	Shanghai Jiao Tong University	MCI AD predicting model
Jiawei Chen	Guangzhou Medical University	AD
Lin Chen	Chinese Academy of Scie	Alzheimer's Disease Prediction
Hao Chen	Shandong University of Finance and Economics	Brain Network Analysis, Alzheimer's disease, Classification
maozhou chen	KUST	ad,fmri,dl
Tianqi Chen	Yale University	longitudinal analysis, bayesian, trajectory
Tao Chen	HITSZ	AD, deep learning, diagnosis
HongGuai Chen	NCU	BDBC-2020
Huimin Chen	Beijing Tiantan Hospital, Capital medical university	cognitive impariment, perivascular space, Abeta/tTau
Chang Chen	Nanjing Drum Tower Hospital, Medical School of Nanjing University	neurologist
Chih-Chieh Chen	CGMH	AD
Gengsheng Chen	Washington University in St. Louis	amyloid, gwas
Winston Chen	University of Washington	Neural networks; Biological Interaction
zhou chen	HIT(Harbin Institute of Technology)	research deep_learning
wenhong chen	Jilin university	Neuroimaging，Alzheimer's disease，Genes
Jinyang Chen	University of Georgia	Deep Learning, Machine Learning, Disease Diagnosis, Classification
zhenzuo chen	Ningbo University	Intelligent diagnosis
Jin Chen	Chengdu University of Information Technology	mikezhangpeng134150
Jingyun Chen	NYU School of Medicine	PET, Tau, Abeta, normalization
Xue Chen	Shandong University of Science and Technology	Alzheimer, Deep Learning, Medical Image Analysis,Computer Science
Li Chen	Indiana University School of Medicine	GWAS, functional analysis, meta-analysis
Sherry Chen	The University of Sydney	Frontotemporal dementia, longitudinal, neural correlates, cognition
Junjie Chen	Temple University	computational methods, integrative analysis, casual factors
Hanyi Chen	University College London	subtype, disease progression, SuStaIn, AD
dongdong chen	shanghai jiao tong university	deep learning; study; research
runhuan chen	nanjing university of Posts and telecommunications	CNN-Transformer model
Zhi Chen	University of Electronic Science and Technology of China	computer vision, neuroimaging recognition, classification
Xin Chen	University of Nottingham	Longitudinal image feature extraction; disease diagnosis.
Feng Chen	Harbin Engineering University	network analysis
shouyan chen	Guangzhou University	AI; Alzheimer detection
Qiufeng Chen	Fujian Agriculture and Forestry University/China	functional connectivity
Lin Chen	Johns Hopkins University	MRI, PET
hu chen	Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch	3D convolution，saliency maps,
Yi Chen	CLA Technology Co., Ltd	Machine Learning, Deep Neural Networks, Early Screening of AD
Mingzhu Chen	Fudan University, Shanghai, China	computer-aided medical image analysis
junchao chen	Beijing University of Astronautics	cjc20011224
Wenli Chen	The First Affiliated Hospital, Sun Yat-sen University	growth hormone pituitary adenoma; cognitive function
Keping Chen	Southeast University	AD； circular RNA
Kevin Chen	National Taiwan University	deep learning, PET/MRI
JIANGWANG CHEN	SUNY BUFFALO	MRI
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
Ruijia Chen	University of California, San Francisco	biomarker studies
fangyi chen	Hebei University of technology	classification tasks
Danni Chen	UCLA	deep learning, medical imaging, explainable AI, attention model
Zebin Chen	Sun Yat-sen University	regression, classification, joint learning, model, visual, interpretable
Haoran Chen	Shanghai jiaotong university	metabolic pathway，transcriptome and metabonomic data
Aidi Chen	Communication University of China	Brain tumour
Weixiang Chen	Tsinghua University	MRI diagnose, Alzheimer diagnose
Jin Chen	Chengdu University of Information Technology	mikezhangpeng134
futao chen	Nanjing Drum Tower Hospital	AD,SCD,fMRI
Yihan Chen	Beijing University of Chinese Medicine	Cyh112800
Siying Chen	BUAA university	study
Tao Chen	Wuhan University	Alzheimer’s Disease, visual features, MRI
Fangyao Chen	Xi'an Jiaotong University Health Science Center	influential factor; Alzheimer's disease;longitudinal analysis
can chen	scau	multimodal
sijie chen	Yitu healthcare technology	AD, classification, CNN
Irene Chen	MIT	machine learning, subtypes, disease progression
chen chen	Beijing Forestry University	Alzheimer's disease, prediction, Rs-fMRI
qiuhui chen	Shanghai Jiao Tong University	Spatial-Temporal GCN; Transformer
Yanghaoyu Chen	UF	Machine learning
Jason Chen	Bioclinica	Testing algorithms
Kevin Chen	Stanford University	multimodal imaging, image post-processing, spatial resolution
Amy Chen	AltPep	Biosample Request, Blinded and unblinded data, Early detection and diagnosis
Jinxin Chen	Chengdu University of TCM	alzheimer，sleep disorders，fMRI
Gavin Chen	Tianjin University of Technology and Education	czc960229
changhao chen	National Central University	CNN SVM LR
Tao Chen	Hefei University of Technology	Deep learning, machine learning
Kuan Chun Chen	National Taiwan University	deep learning, dementia, Alzheimer
kai chen	Xijing University	medical image analysis
Gianna Chen	Shanghai Jiao Tong University	none
Hui Chen	Shuguang Hospital	Alzheimer's Disease,functional connectivity
Battle Chen	FZU	multi-modal
yunjie chen	Nanjing university of information science and technology	brain mr images
Xi Chen	University of Rochester Medical Center	APOE
Zhe Chen	Anhui University of Technology	research, multi-view clustering, the progress of Alzheimer's disease
Fang Chen	jackson state university	image deep learning Alzheimer's
Qianyun Chen	The Chinese University of Hong Kong	deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Yu-Jen Chen	National Tsing Hua University	Machine Learning, Disease Prediction
Yuchao Chen	WellSIM Biomedical Technologies Inc	extracellular vesicles
bowen chen	Tongji University	course project, deep learning, Alzheimer's disease
Chi Chen	Guizhou University of Chinese Medicine	Repeatability validation, machine learning algorithms
zhaoming chen	Beijing Institute of Technology，Zhuhai	Image recognition
Xin Chen	Shanghai East hospital, Tongji University, School of Medicine	Neurodegeneration, Alzheimer，cognitive impairment
Xinqi Chen	Guangdong University of Technology	computer vision, generative adversarial networks, synthesis of medical images
Wei Chen	West China Hospital of Sichuan University	dementia, cardiometabolic risk factors, genetics
Keyu Chen	Liaoning Normal University	Resting state; dynamic; fMRI; Classification
LiuJyun Chen	National Taiwan University	Cognitive assessment, dementia, health care
Zixuan Chen	Sun Yat-sen University	Medical Image Reconstruction, MRI
Yanxi Chen	Arizona State University	algorithm, imaging, BBB, AD diagnosis
Fangzheng Chen	Shanghai Jiaotong University School of Medicine Ruijin Hospital	cognition AD
Shu Chen	North East University	iconography
Shijie Chen	Xuzhou Medical University	PET, super-resolution, GAN, ML
Yuzhong Chen	UESTC	CNN AD
Yufeng Chen	Beijing University of Chinese Medicine	Alzheimer's disease
Yujie Chen	Wuhan University of Science and Technology	Alzheimer's disease, Early diagnosis, Conversion prediction
huaqiu chen	Xuanwu Hospital, Capital Medical University	Alzheimer's disease
Liang Chen	University of Macau	miRNA, biomarker
Jacky Chen	Johns Hopkins	Imputation challange
jiacheng chen	Zhejiang university of technology	MR image super resolution
Ling Chen	Zhejianglab	Graph convolutional network
xiang chen	Southeast University	FC ASL hippocampus
Sida Chen	Hong Kong Baptist University	Aging, Large-Scale Brain Network, Parameter Sensitivity
Xiaohui Chen	Southern University of Science and Technology	brain, eye., images, genes
xiaotong Chen	huashan hospital of fudan university	Alzheimer's disease; biomarker; blood-based
Christina Chen	University of Pennsylvania	Statistics, imaging
jiachen chen	shandong university	thanks
Bingzhen Chen	University of Florida	statistical modeling
Sophie Chen	Beijing University of Technology	fMRI classification
Xiang Chen	University of Leeds	Image Registration, Deep learning
Andrew Chen	University of Pennsylvania	dimension reduction, batch effects, site effects
hongyu chen	shanghai Nyuen	fMIR, GCN
Juan Chen	The First Medical Center of PLA General Hospital	image
YuCheng Chen	國立金門大學	NQUAI
GUILIAN CHEN	SHENZHEN UNIVERSITY	unsupervised segmentation
Xinyuan Chen	Mississippi State University	functional analysis, survival models
Xiao Chen	Beijing Normal University	Alzheimer’s disease,defalut mode network
Shuo Chen	National Innovation Institute of Defense Technology	deep learing, super resolution, medical imaging
wang chen	Xinxiang Medical University	fmri;Age predicts
meidi chen	Shanghai Jiao Tong University	FDG AV45
Haifeng Chen	Affiliated Drum Tower Hospital, Nanjing University Medical School	memorry function; rTMS; multimodal neuroimaging
Eric Chen	Indiana University School of Medicine	Tau, Braak regions, PET
Michelle Chen	Rutgers University	Intra-individual variability
qiang chen	Donghua University	segmentation
Yang Chen	Hebei Medical school	MRI， biomarkers， clinical related data
Zheng Chen	Southern Medical University	Biostatistics, survival analysis, dynamic prognostic and predictive
naijin chen	Anhui Polytechnic University	Medical image analysis
Hanxi Chen	Shanghai jiao tong university	causal discovery
tao chen	south medical university	联合基金
kehua Chen	shantou University	radiomics, deep learning, genomics research
Xiao Chen	Nan Jing Agricultural University	Disease development
Ziyi Chen	Carnegie Mellon University	Machine Learning coursework project
Qingmeng Chen	Tokyo Medical and Dental University	DTI, 3D-T1, Multiple sclerosis
kunxu chen	Sun Yat-sen university	study
Chen Zi Yang Chen Zi Yang	Guangdong University of Technology	ADNI ; GAN; image segmentation
Antoine chenevier	ESIREM	azerty
WEI CHENG	Southern University of science and technology	machine learning
ZHI HSIN CHENG	National Yunlin University of Science and Technology	Alzheimer’s disease machine learning
siyu cheng	shanghaitech	Alzheimer's disease features extraction
Feixiong Cheng	Cleveland Clinic	artificial intelligence (AI); radiogenomics; Alzheimer's genomics
Jiaqi Cheng	University of Canterbury	CNNs model interpretability
Greta Cheng	NA	ADNI dataset, classfication, 3D CNN
Xiaoqin Cheng	Zhongshan hospital	machine learning
Iris Cheng	Brown University	Alzheimer's, sex, apoe, cognition
Weili Cheng	North China University of Water Resources and Electric Power	Time-dependent ROC curves with missing biomarkers
zhiwei cheng	N/A	research
Ruida Cheng	NIH	brain segmentation and classification
yongting cheng	Washington University in St.Louis	Segmentation; Diagnosis ;Deep Learning;VAEs-GAN
Zikang Cheng	Imperial College London	Survival analysis, A1ATD
Hewei Cheng	Chongqing University of Posts and Telecommunications	brain disease, brain parcellation
XL Cheng	XMU	Image synthesis , Experiments , CGAN
Weiwei Cheng	Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine	AD，PET imaging
Xiaoqin Cheng	Zhongshan hospital	inflammation
Yuanjiang Cheng	Shanghai University of Finance and Economics	MRI, Alzheimer's disease
Hewei Cheng	Chongqing University of Posts and Telecommunications	multi-modality; classification
minjia cheng	Zhejiang University of Technology	AD
Jiyun Cheng	Hill School	Hill School
Wai Ho CHENG	The Hong Kong Polytechnic University	AD and mild cognitive impairment
Xiangyi Cheng	Summer STEM Institute	Alzheimer's, Machine Learning, Disease Screening
YYUAN CHENG	JILIN UNIVERCITY	DATASET
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
Idris CHENTOUF	Bahçeşehir Unuversity	Alzheimer
Yu Chenxi	China University of Geosciences	alzheimer's disease；Brain morphologic network system
pang chenxuan	bnu	123456aB
huang chenye	Anhui University of Traditional Chinese Medicine	medical research on machine learning
wang chenyu	zjut	research
REN Chenyu	East China University of Science and Technology	Causal Machine Learning, Early Alzheimer’s Disease Detection
Chenyu Shen Chenyu Shen	Hangzhou Dianzi University	scy19980415
Bo Kyoung Cheon	Samsung medical center	Alzheimer's Disease
sehyoung Cheong	POSTECH	AD, connectivity
KyungJae Cheong	Codestates	Deep-Learning, CNN
Mariya Chepisheva	Imperial College London	Alzheimer's disease; vestibular; spatial, postural
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
Rokia Chettouh	University of Tlemcen - Algeria	Alzheimer's disease, feature extraction, Deep learning, CNN
Mark Cheung	Carnegie Mellon University	graph neural network, Spectral theory, neuroimage
Qi Cheung	Institute of Artificial Intelligence and Robotics	multimodal machine learning, interpretable, neural networks
Eva Cheung	University of HK	MRI PET AD MCI
Maulik Chevli	Technical University of Munich	Machine Learning, Differential Privacy, Graph Neural Networks
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
CHIA-HSING CHI	National Taiwan University	episodic memory, hippocampal subfields, retention performance
lutong Chi	南京农业大学	这。。
Jingyi Chi	University of Pennsylvania	Deep Learning, GAN, MRI
Zhang Chi	Yanshan university	AD
Zhang Chi	Yanshan university	parkinson
Song Chi	the Affiliated Hospital of Qingdao University	Alzheimer's Disease
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,
Adelia Chindranata	University College London	GenNet, phenotyping
paneeth chinta	Bangalore Institute Of Technology	Alzheimers, CNN
Radha Sai Rupesh Chintamanibatla Venkata	Northeastern University	Data Science, Data Mining, Artificial Intelligence, Image Processing
Sai Spandana Chintapalli	U of Penn	image processing
Ashish Chinthala	ABV-IIITM	Machien learning, deep learning
Hanuman Chinthapalli	NA	Alzheimer's Disease, CNN
Konstantinos Chiotis	Karolinska Institutet	AD, MCI, PIB, FDG, AV-45
Linus Chirchir	Swansea University	Machine Learning, Alzheimer's Disease
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
Sheng-Chieh Chiu	The University of Alabama at Birmingham	FreeSurfer segmentation
Yu Wen Chiu	Taipei Medical University	Alzheimer,early detection,assist decision-making,aging society
HSIU HUI CHIU	AcroViz	image artifact
Donghoon Cho	Kyungpook National University	Digital Contents, Machine Learing, ADNI
Youngjoo Cho	The University of Texas at El Paso	Survival analysis, Prediction models
Hyewon Cho	UNIST	AD early detection, AI, ML, ensemble, multimodality, deep learning
hyugrae cho	samsung electronics	AI, machine learning
Sang Kyu Cho	University of Houston - Houston, TX	prognostic factors
Yeo-Jung Cho	Seoul National University	Deep learning, Alzheimer disease, 18F-FDG PET
Dong Ho Cho	Korea Advanced Institute of Science and Technology (KAIST)	Machine Learning, Biomarker, Classification, Diagnostic
Soo Hyun Cho	Chonnam National University	SNAP
Sang Yeon Cho	Medical School of Chungnam University	Alzheimer’s disease, microglial phagocytosis
Hyuna Cho	POSTECH	brain connectivity
Jinwoo Cho	University of Pittsburgh	Dynamic Prediction, Landmarking, Joint Modelling
HyungJin Cho	University of Southern California	Alzheimer's Disease Neuroimaging Initiative (ADNI)
MINJEONG CHO	ul National University College of Engineering	deep learning, classification
Hanbin Cho	University of Washington	Alzheimer's disease
Youngbok cho	Daejeon University	Alzheimer's Dementia, MRI, PET, Protein Folding
sang soo cho	Seoul National University	BrainAge, machine learning, OCD, Shizophrenia
Patricia Chocano-Bedoya	Bern Institute of Primary Care	metabolomics biomarkers dairy cognition
Sandra Chocron	UT Health San Antonio	ceramide catabolism
Young Min Choe	Dongtan Sacred Heart Hospital	Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
Mark Choe	NCIRE	Imaging, Processing
John Choe	OPKO	MCI
LEE CHOEL HUI	Korea University	Alzheimer's disease
byung hyug choi	KAIST / korea	machine learning, network embeddings, Alzheimer feature extraction
HYUNG JIN CHOI	ULSAN UNIVERSITY HOSPITAL	PET FDG amyloid dementia deep-learning
Yoon Seong Choi	Severance Hospital, Yonsei University College of Medicine	Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
James Choi	Sabio Research	Alzheimer Machine Learning Neural Networks
Tae-Min Choi	KAIST	Deep learning, classification, early diagnosis
hyujin choi	korea university	hyunjin
Seo-Eun Choi	University of Washington	Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Sunghoon Choi	Korea Research Institute of Standards and Science	Generative adversarial network, synthetic PET
Yong-Ho Choi	hanyang university	Imaging genetics
Esther Choi	Boston University	Alzheimer's Disease, Computational Neuroscience
Eun Young Choi	Stanford University	thalamus, rsfMRI
Young Sang Choi	National Cancer Center	Neuroimaging, deep learning, multi-modal
Junghwan Choi	.	.
Mingyu Choi	Chung-nam National University	predicting Alzheimer gene variants using deep learning
Hongyoon Choi	Cheonansi Public Health Center	Metabolic network, FDG, Amyloid
Kyu Sung Choi	Korea Advanced Institute of Science and Technology (KAIST)	follow-up
juyeon choi	kbri	database, web, analysis
Woo Hee Choi	College of Medicine, The Catholic University of Korea	striatum, amyloid PET, tau PET
Yera Choi	NAVER Corp.	deep learning, causal inference, multimodality
Jungwon Choi	KAIST	sMRI, Classification, Breain disease
Junsik CHOI	Korea Univ.	Deep learning
Yu Yong Choi	Chosun University Hospital	ethnic differences, normal aging
Uksu Choi	Chosun University	Cortical thickness, VBM
ByungWook Choi	Daegu Catholic University School of Medicine	PET, serum markers, AST, ALT, ALP, Calcium, TFT
duck ho choi	Sung Kyun Kwan Univ.	Alzheimer
Bo Kyu Choi	Yonsei university	prediction model
Jae Won Choi	Armed Forces Yangju Hospital, South Korea	MRI, deep learning, Image-to-image translation
changwon choi	Seoul National University	DTI, SPD, partially linear additive model, Lie groups
Shin Wee Chong	Carl-von-Ossietzky Universität Oldenburg	Advance longitudinal modeling, structural equation, bidirectional relationship
chee keong chong	University Teknologi Petronas	CNN, deep learning, classification,
Joyce Ruifen Chong	National University of Singapore	Dementia, Blood biomarkers, ratio
Yin Kiat Nicholas Chong	Boston University	Alzheimer's Disease, Modeling, Older Adults, Predictive
Song Chongchong	BUAA	medical images processing
Agamdeep Chopra	University of Washington	Deep Learning, MRI, Computer Vision, PET
Jill Chotiyanonta	AnatomyWorks, LLC	Brain MRI, Neuroanatomy, Segmentation
YIYU CHOU	CNRM	segmentation
zheping chou	First affiliated hospital of Suzhou University	multi-modal imaging markers cognitive decline.
Hsiang-Chin Chou	Massachusetts General Hospital	SEX, 18F-Flortaucipir (FTP)-PET signal, Abeta-PET
Yu Wen Chou	National Chin-Yi University of Technology	Deep learning
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
Suprit Choudhury	Government College of Engineering Serampore	CNN
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
DEBKUMAR CHOWDHURY	UEM KOLKATA INDIA	BRAIN DISORDER DETECTION
Sulogna Chowdhury	Kansas State University	Data Science
linkon chowdhury	East delta university	GO_PEPTIDOGLYCAN_RECEPTOR_ACTIVITY
Anjan Chowdhury	ISI-Kolkata	functional connectivity, Alzheimer, Brain connectome
Samadrita Chowdhury	University of Massachusetts,Lowell	Graphs, CNN, PET, FMRI
Oscar Choy	Kaiser Permanente	AI/ML, MRI, segmentation
Luke Christenson	Mayo Clinic	Data, MRI, PET
Amanda Christini	Blackfynn, Inc	Algorithms, data integration, multimodal data biomarkers
Aneeta Christopher	National Institute of Technology Calicut	medical imaging, MR images, Deep Neural networks
Aneeta Christopher	National Institute of Technology Calicut	MR imaging, Denoising, Deep Neural Networks, MemNet
Nicholas Christopher-Hayes	UC-Davis	Neuroimaging, neuropsychololgy, hippocampus, memory
Julia Christy	Newcastle University	neuroscince
Wang Chu	Nanjing University of Science & Technology	imaging data
Jiebin Chu	Zhejiang University	Individualized treatment effect,Causal inference, Off-policy evaluation
Chu Yang Chu	China Jiliang University	Research, learning
Nan Chu	National Central University/CWLab International	brain image data bank, AI analytics, neurotechnology
Chientiao Chu	Hangzhou Dianzi University	AD;Music;EEG;FC
Winston Chu	University of Florida	diffusion MRI, AD, free water, basal forebrain
Jielei Chu	southwest jiaotong university	ai
Yan Chu	University of Texas Health Science Center at Houston	deep learning, time series, AD onset prediction
Vivian Chu	Queens College, CUNY	Serial Position Effect, cognitive marker, tau, biomarker, conversion
PHUONG ANH CHU DANG	Sungkyunkwan University	machine learning, deep learning
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
Kai-Hsiang Chuang	University of Queensland	glymphatic system
jayrajsinh chudasama	Birla Vishvakarma Mahavidyalaya	dataset mri image with label
Luke Chugh	Northumbria University	Training GANs on ADNI dataset and generating synthetic images
Luke Chugh	Northumbria University	Alzheimer's, MRI, GANs, Deep Learning, Early Detection
kanish chugh	Dr. APJ abdul kalam technical university	deep learning
Haroon Chughtai	UCL	FAIR, large-scale processing
Evgeny Chumin	Indiana University-Bloomington	connectivity, tau, graph theory.
Sehun Chun	Yonsei University	White matter tractography
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	404
Yunro Chung	Arizona State University	Biostatistics; biomarker
Hyun Jy Chung	Stony Brook University	FWER
Paul Chung	Northwell Health	Imputation
Jaeyoon Chung	Boston University School of Medicine	GWAS CSVD stroke ICH
shi chunlei	Beijing Normal University	Machine Learing,Hidden information
Tang Chunyan	The second affiliated of Chongqing Medical University	tcy972626
jiang chunyu	NEU	jcyypbed627!
Gregory Church	Roche	-
Sotirios Panagiotis Chytas	University of Wisconsin-Madison	machine learning, deep learning, statistics, programming
YJ CHYU	Brain institue	Thank you
Iacopo Ciampa	Johannes Kepler Universität Linz	AI, Alzheimer, Federated Learning, Deep Learning
Claire Ciampa	Brandeis University	atrophy, structural MRI, COMT, DRD2, executive function, memory
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
Karl Cini	University of Malta	imputation, missing data, data science
georgian ciobotaru	Carol Davila	epilepsy myoclonus
Davide Cipollini	University of Groningen	AI, neuroimaging, Generative approach, data augmentation
Emilio Cipriano	University of Pisa	Graph Theory
Andrew Cirincione	Icahn School of Medicine at Mount Sinai	Ensemble Integration, Machine Learning, Predictive Modeling
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
Jamie Clarke	University of Miami	CSF biomarkers, Alzheimer's disease, NPS, NCI
Christopher Clarke	University of Strathclyde	Financial capacity, Alzheimer's, MCI
Natasha Clarke	CRIUGM	functional connectivity, MRI
Tayla Clasper	University of Auckland	Alzheimer's disease, lifestyle, ageing, mild cognitive impairment
Hannah Clavin	University of Nottingham	Alzheimer's Disease Imaging Dissertation
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
Letizia Clementi	Politecnico di Milano	functional data analysis, statistics, neurodegenerative pathologies
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