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Investigator Institution Keywords
ANIMESH KUMAR -- National College of Ireland BRAIN AGE, MRI, DEEP LEARNING, PREDITION
sakshiwala . National institute of technology patna mild cognitive impairment, resting functional MRI, brain functional network
shyna A TKM ASL,CBF
Srinivasan A CSIR-CMERI Alzheimer's Disease
Thushara A TKM College of Engineering AD,MCI,Brain graph, rsfmri,DTI,Tractography
a a a a
Dinu A J Noorul Islam AI,Alzheimer's disease
sunija a p National Institute of technology Tiruchirapallli biomarker, OCT, artificial intelligence
Anusha A S IISc Machine learning, Pattern identification
Jac Fredo A.R Nanyang Technological University Sparse inverse covarience
Yassine Aakil UMASS Lowell AI, MRI, CT, Brain
nima aalizade RS Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Mohammad Hadi Aarabi Tehran University of Medical Sciences Diffusion MRI
Fatemeh Abadian Iran University of Science and Technology Deep learning, Weakly supervised, Classification, MRI
Brennan Abanades Kenyon Oxford Univerity segmentation, volume estimation, FSL
Syed Qasim Abbas La Trobe University, Melbourne Discriminate Atrophy Localization
Hawraa Abbas Kerbala University Dementia classification
ali abbasi Urmia University of Technology Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne
walid abbassi esprim 4MG69
Ali Abbaszade Mashhad University of Medical Sciences statistical models; machine learning; data mining;prediction; classification
abd elazeim abd alla mohamed nour south east university MRI,AD,MCI
Moloud Abdar Institute for Intelligent Systems Research and Innovation (IISRI) deep learning, Fusion, uncertainty quantification
fatma ABDEDAYEM NATIONAL SCHOOL Of ENGINEERING OF SFAX, Tunisia fmri, segmentation, classification, blod signal
Mohamed Abdelaziz Shenzhen university Alzheimer’s disease, multimodal data
Moro abdelhamid Ain Shams University epistasis and SNPs
Akram Abdelkarim King Fahd University of Petroleum and Minerals disease progression, time series analysis, MRI
Mehdi Abdollahpour Amirkabir university of technology-Tehran Polytechnic Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN
Yousry AbdulAzeem Misr Higher Institute for Engineering and Technology Alzheimer, CNN, deep learning
Ahmed Abdulkadir University of Freiburg classification, machine learning
Azian Azamimi Abdullah Universiti Malaysia Perlis Alzheimer’s disease (AD), MRI, machine learning, prediction tool
Lookman Abdullah Universiti Teknologi Malaysia Computational Intelligence, Structural MRI, Neuro Imaging
Osama Abdullah NYU Abu Dhabi Freesurfer, DTI
Mohammed A M Abdullah Ninevah University fMRI, machine learning, AD, classification
ahemd abdullah arab acdemic for enginnering AD ,HYBRID CLASSIFICATION
Suhad Abdulzahra UMP MRI, fMRI, PET, alzheimer's disease, MCI
Clement Abi Nader INRIA Alzheimer's disease Disease progression model Machine learning
Tracy Abildskov University Of Utah Mild TBI
Olamide Abiose Stanford University tau, PET, amygdala, stress
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
Mohamed Aborageh Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) Cognitive features, Longitudinal modeling
Tisha Abraham GE Deep Learning
Yonatan Abrham University of Massachusetts Lowell Healthcare, deep learning
Anees Abrol The Mind Research Network Multimodal, AD, MCI, Progression
John Absher University of South Carolina Greenville TBI exosome AD morphometry
Yasmine abu adla RHU AI biomedical enginerring medical imaging
Mohamed Abu Sheha University of South Florida Dementia, Machine Learning, Statistical Modeling.
samah Abuayied Umm Al-qurah university AD
ami abutbul Technion medical images, clinical data, deep learning
Francisco Javier Acevedo University of Alcala PET, MRI, CSF biomarkers
Maria Ram Achary University of Mumbai Alzhemeirs parkinsons hungtions and ALS
ramakrishnan Achary University of Mumbai Deep learning , Alzheimer's
Noriaki Adachi MSD. K.K. (Japan Branch of Merck) threshold
Nikolaos Adaloglou INSA segmentation, medical imaging
Kendra Adams Duke University Metabolomics, Skyline, Software, Data Processing
Hieab Adams Erasmus MC University Medical Center Neurodegeneration, high-dimensional data, brain imaging, genetics
Bertrand Adanve Genetic Intelligence, Inc Whole genome sequence, Artificial intelligence, Computational analysis
Stanislaw Adaszewski F. Hoffmann - La Roche AG imaging, genetics
Viraj Adduru Rochester Institute of Technology atrophy, CT, MRI,
Tameem Adel University of Amsterdam MRI Classification, Unsupervised Feature Learning.
jayanth adithya Anna university Alzheimers detection ,MRI analysis
Katy Adler Bar Ilan University brain fc sc
Vera Afreixo University of Aveiro Data Analysis; statistics
SEPIDEH AFSHAR 1984 Brain dynamics
Babak Afshin-Pour BioSymetrics Inc Biomarker, data fusion, Alzheimer
Seemal Afza Lahore College for Women University Alzheimers, deep learning, neural networks, MRI, FMRI, PET images, SPECT images
Iman Aganj Massachusetts General Hospital / Harvard Medical School Brain connectivity
Varun Agarwal N/A The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge
Siddharth Agarwal University of Nottingham brain age, chronological age, delta, radionics
Abhi Agarwal Health Banyan Medical
Tanay Agarwal Vellore Institute of Technology GAN
Ajay Agarwal DIT University Alzheimer's Disease, Progression
Anay Aggarwal Stoller Middle School behavior test scores
Kunal Aggarwal Amity University Machine Learning, AD, MCI
Atefe Aghaei Shahid Beheshti University image processing, segmentation, feature extraction, deep learning, classificatio
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
TARUN AGRAWAL NIT HAMIRPUR DNN, Medical Image
Vismay Agrawal Indian Institute of Technology Madras Medical Image Analysis
Yésika Alexandra Agudelo Londoño Universidad de Antioquia dFC, resting state, based on task
Jorge Aguilar District University Francisco Jose de Caldas Machine Learning Alzheimer disease
Unai Aguilera Mondragon University PET, MRI, HSV
Rubén Aguilera García Granada University CNN, Alzheimer detection, deep learning.
Ifeanyi Aguocha Cyprus International University Deep Learning, medical diagnosis, Neural networks
Kawser Ahammed Jatiya Kabi Kazi Nazrul Islam University alzheimer
Asha Aher San Jose State University Machine Learning Alzhmeirs
Wahab Ahmad COMSATS UNIVERSITY ISLAMABAD(SAHIWAL CAMPUS) Alzheimer's Diagnosis
Rauf Ahmad Uppsala University, Sweden High-dimensions; Multivariate statistics; Linear models, Dependence measures
Fawad Ahmad Student data mining
Shakeeb Ahmad Indiana University Alzheimer's Disease, Cerebral Amyloid Angiopathy
Zeba Ahmad Rice University multimodal deep learning, GRU
Amirhossein Ahmadi Ferdowsi University of Mashhad Investigating Focal Connectivity Deficits in Alzheimer’s Disease
Fatemeh Ahmadi Amirkabir University Ricci Flow, Teichmuller space, metric
Hessam Ahmadi Islamic Azad University, Science and Research Branch fMRI, Non linear, graph theory, functional connectivity
Kourosh Ahmadi Computing and Engineering Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net
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
Shanewas Ahmed Brac University AD, MCI, Alzheimer, OCT, Fundus, predict Alzheimer.
Tahera Ahmed Bond University Alzheimer's, Early Detection, Prediction
Mughis Ahmed UOG Multiple sclerosis
Samsuddin Ahmed BUBT Deep learning, AD
Rahman Ahmed Indiana University Imaging, CASL, functional decline, blood flow, cortical thickness
Juweiriya Ahmed Western University Psychosis, AD
Rahman Ahmed Indiana University Cortical Thickness, blow flow, cognitive decline, CASL, model
Khandakar Tanvir Ahmed University of Central Florida mutation, MRI image, Alzheimer
Hala Ahmed Faculty of computer science Bio informatics
Kamran Ahmed Daffodil International University AD detection
Yong Yeol Ahn Indiana University network, multi-omics, data integration
Pratyush Ahuja Jaypee Institute of Information Technology Alziehmars disease
Helena Aidos Faculdade de Ciências, Universidade de Lisboa Deep learning, prognosis, patient profiles
Marco Aiello Fondazione SDN Diaschisis, PET, MR, connectome, brain connectivity
Bharati Ainapure Maharashtra Academy of Engineering Education and Research-MIT College of Engg. Neuro Imaging,Alzheimer Disease,Machine Learning,Deep Learning,Research.
David Airey Eli Lilly and Company NfL hippocampus biomarker
Paul Aisen University of Southern California data sharing methods
Viljami Aittomäki Nightingale Health Ltd metabolomics, AD, Alzheimer's disease
Zou Aixiao Beijing University of Technology data mining,bioinformatics and brain science
Santiago Aja-Fernandez Universidad de Valladolid Diffusion MRI, anisotropy measures, robust estimation
Go Akamatsu NIRS-QST Tau PET analysis
abrar akas Jordan university of science and technology `PARKINSON
Reza Akbari Movahed Tarbiat Modares University Alzheimer,Machine Learning, Deep Learning, MRI
Oguz Akbilgic Loyola University Chicago deep learning, medical image analysis
Erdoğdu Akça Marmara University Pendik Training and Research Hospital MCI, ALZHEIMER'S DISAESE
Adeem Akhtar Forman Christian College University (A Chartered University) Longitudinal, Progression, Classification, Prediction
Alex Aklson IBM Canada Deep Learning, Classification, Alzheimer's Disease, Older Adults
Essang Akpan University of Pittsburgh lateralization, asymmetry
Mohammad Akradi Shahid Beheshti University OSA, AD, MCI
Farhan Akram Khalifa University Alzheimer, early prediction, convolutional neural networks, deep learning
Wasim Akram East West University detection, deep learning, early-onset Alzheimer, mri
Muhammad Haroon Akram Bahria University Islamabad ALPHA
Mina Akrami Bahonar MRI images
Leon Aksman UCL structural MRI, longitudinal analysis, imaging genetics
deniz aktas TOBB Ekonomi ve Teknoloji Universitesi internship
PRATHYUSHA AKUNDI International Institute of Information and Technology Hyderabad (IIITH) Registration with deep learning
Lior Al Technion Unsupervised learning
MD MAMUN AL AMIN University of Queensland Hippocampus, Subiculum, CA1, Dentate Gyrus
Yasmina Al Khalil Eindhoven University of Technology MRI segmentation, deep learning for medical imaging
Hasan Al Marzouqi Khalifa University of Science and Technology deep learning, residual networks, constitutional networks, SNPs
Obada Al Zoubi Laureate Institute for Brain Research Machine Learning, resting-state fMRI, reproducibility
Bassam Al-Fatly Charite University Medicine fMRI, DTI, connectivity, severity
Ali Al-Nuaimi Plymouth University brain disorder
Manal Al-Qahtani King saud university Grey matter, MRI, Alzheimer, Education
basad Al-sarray univ of baghdad RPCA, Low rank
Aws AL-ZARQAWEE Universiti Malaysia Pahang CNN,Softmax
Sahar Alaa Higher Technological Institute in 10th of Ramadan City in Egypt Page | 6 Executive summary As a part of academic requirement and completion of
FADHL ALAKWAA MICHIGAN UNIVERSITY drug discovery , drug repurposing
John Alam EIP Pharma Episodic Memory, Longitudinal Change
Mohammad Arif Ul Alam University of Massachusetts Lowell Deep Learning, Reinforcement Learning, Cognitive Decline, Explainable AI
Raquib-ul Alam University of Sydney longitudinal,mri,mri,pet,genetic
Teresa María Alarcos Tamayo WstartupC ML, AI, Alzheimer
Raed Alazaidah Universiti Utara Malaysia Longitudinal data
Daniel Albrecht University of Southern California Amyloid, tau, CSF, blood
Jack Albright Nueva School Machine Learning, Student, TADPOLE
Ruth Alcala Lozano National Institute of Psychiatry Ramon de la Fuente Mild Cognitive Impairment. rTMS. Neuromodulation.
Sarael Alcauter Instituto de Neurobiología UNAM sulcal width, Alzheimer,
Thomas Alderson Ulster University thalamo-cortical modelling DTI
Irene Aleixandre Soriano 1997 alzheimer, project, software
Bomin Alex Shandong University fMRI, dynamic functional connectivy
PANAGIOTIS ALEXOPOULOS University of Patras neuropsychiatric symptoms, AD, activities of daily living
Ahmed ALGendy HTI CT,MIR,Alzheimer
Lea Alhilali Barrow Neurological Institute Diffusion tensor imaging
Samr Ali Concordia University machine learning, hidden markov models
Haider ali university of gujrat fmri
Sanam Ali Sunnybrook Research Institute rsfMRI; preprocessing optimization
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
shirin alimoradian Islamic Azad Science and Research university arsh
samire aliniyaee Yazd University Alzheimer, biomarker, psychopathology
Sadiq Alinsaif University of Ottawa classification; machine learning; deep learning; feature extraction
farzad alizadeh tums fmri,deep learning
Rawan Alkady Misr international university Bio informatics
Ayhan Alkan Cortexify BV (in establishment process) NIA-AA 2018 framework
ZAID ALKHALEDI UNIVERSITY OF KENTUCKY MDR; Model Selection; Continuous Phenotype; Ordered Combinatorial Partitioning
Shanmukh Alle IIIT Hyderabad Machine Learning, Disease diagnosis
HANANE ALLIOUI Cadi Ayyad University alzheimer, brain , MRI, dicom
Randa Almaktoum Massachusetts General Hospital WM/GM Ratio AD
fatema almawed damascus MRI images of alzaheimer disease
Ina Almdahl Oslo University Hospital Cerebrospinal fluid Amyloid Depression
Hannes Almgren Ghent University Effective connectivity, structural connectivity, cognition
Ibrahim Almubark CUA cognitive, neuropsychological
Fahad Almuqhim Florida International University Alzehimers, brain disorders
AMAL ALNASSER KFSH BREAST
Devansh Alok Jaypee Institute of Information Technology prediction, neural nets, deep learning, college project
Shannon Alptekin Stony Brook University machine learning, clinical research, Alzheimer's Disease, pathophysiology
Saif Aldeen AlRyalat University of Jordan Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Duaa alSaeed king saud university CNN, Alzheimer, classification, medical imaging, image processing
faisal alsalem CICADA Imaging PET
Aamna AlShehhi Khalifa University of Science and Technology - MIT Autoencoder, Multi-model deep learning , AD risk factors
Haifa Alshehri Taif University early diagnosis ,Alzheimer , Classification
Liora Altman-Sagan Northwestern University Alzheimer's disease probability, Bayesian inference
Andre Altmann University Collage London Imaging Genetics, Next Generation Sequencing
Daniele Altomare University of Geneva biomarkers, Alzheimer, neuroimaging
Michael Alummoottil University of Cape Town classifier, GAN, data augmentation, Biomedical engineering
David Alvarez Asturias Central Hospital segmentation, hippocampus, deep learning, alzheimer
Eghosa Amadin Stanford University diagnosis
Miguel Amador Tecnico Lisboa Alzheimer, Biomarker, Connectome
Yahyah Aman University of Oslo Alzheimer’s disease, mitophagy, biomarkers
SAI SANTOSH AMBATI NITK SURATHKAL Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
Felix Ambellan Zuse Institute Berlin Disease classfication, Statistical shape analysis, Manifold valued statistics
ACHAIBOU Amina Ecole national polytechnique d'alger TEP , detection , neurodegenrative deseas
Eriza Aminanto University of Indonesia classification, alzheimer
Nasrin Amini Shahid Beheshti University of Medical Sciences Alzheimer , MRI, classification
Inge Amlien Centre for lifespan changes in brain and cognition. Universitetet i Oslo Lifespan, AD
Priscilla Amofa Sr. University of Florida iADLs, ECog, FAQ,
Nicola Amoroso Università degli studi di Bari Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
ZAREEN AMTUL Independent Rsearcher Alzheimer's disease, diagnosis
Lijun An National University of Singapore ML, AD
ana ana CIIT dataset
Vikas Kumar Anand Indian Institute of Technology Madras Medical Image Analysis, Deep Learning, Radiogenomics, Radiomics
Krishna Anand XPRIZE Foundation Alzheimers
Gholamreza Anbarjafari University of Tartu Alzheimer disease, statistical analysis, deep learning, super resolution
Meenakshi Anbukkarasu San Jose State University Predicting conversion from MCI to AD
Sami Andberg University of Eastern Finland Alzheimer's disease, early detection, machine learning
Christina Andica Juntendo University Graduate School of Medicine Diffusion MRI, Free-water imaging
Nicolas Andrade University of California, Berkeley machine learning, convolution neural network, support vector machine, decision t
Rene Andrade Rey University of Alcala de Henares vbm, alzheimer
Daniel Andreani UBA AD
Shea Andrews Icahn School of Medicine at Mount Sinai Alzheimer's disease; mitochondria; genetic variation
Ayush Aneja Thapar Institute of Engineering and Technology Machine learning project
Elsa Angelini Imperial College London imaging, genomic, disease classification, longitudinal follow-up,
Spyros Angelopoulos Tilburg University AI, neural networks
cucun angkoso Institut Teknologi Sepuluh Nopember feature reduction, deep belief net, alzheimer
Ahmadi Anis Faculty of sciences of Tunis Alzheimer's disease, machine learning
Ananthalakshmi Annappa Pushpalatha College of Staten Island- CUNY Machine learning prediction AD MCI life expectancy
Shahab Ansari GIKI automatic brain segmentation, Alzheimer's disease, machine learning
FAIZAH ANSARI MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION
Luigi Antelmi INRIA joint analysis; biomerkers
Augusto Antunes MINER.IA AI, Machine Learning, Inflammation, AD
Nmachi Anumba Georgia Institute of Technology Alzheimer's disease, MR imaging, classifier
Muzamil Anwer Bahria University 335630
Mazin Aouf Western Sydney University Medical Research Datasets
Li Yew Aow Yong Universiti Teknologi Malaysia classification
Chatchawit Aporntewan Chulalongkorn University Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova IU AD biomarekrs
Dace Apsvalka Medical Reseach Council Hippocampus
Ghazal Arabidarrehdor 1994 Machine Learning, Alzheimer's, Dementia
Arsen Arakelyan Institute of Molecular Biology NAS Armenia spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis
Gilderlanio Araújo Federal University of Pará association networks, non-coding RNA, eQTL, population genomics
Jose Aravena Yale university psychosocial; education; biomarkers; APOE-e4
Mohammad Arbabyazd INS reconstruction, virtualisation
Damiano Archetti IRCCS Centro San Giovanni di Dio-Fatebenefratelli computational models
Zaniar Ardalan University of Arizona Mild Cognitive Impairment, Convolutional Neural Network
Babak Ardekani Nathan Kline Institute MRI; Corpus callosum; shape analysis;
Kareem Areed Mansoura University Healthcare
Emilia Arens University Osnabrück Classification
Eleni Aretouli University of Deusto intraindividual variability
Konstantinos Arfanakis Illinois Institute of Technology diffusion, DTI, registration
Konstantinos Arfanakis Illinois Institute of Technology mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker
nouha arfaoui University MCI
Ali Ozgur Argunsah University of Zurich AD detection, convolutional neural networks
Christos Argyros Imperial College London Machine Learning, Predictions
Juan A. Arias University of Santiago de Compostela Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning
Kfir Ariel Tel Aviv University thesis, research methods, neurodegenerative diseases
Taylor Ariko Florida State University DTI, Alzheimer's Disease, connectivity
Ivan Arisi Fondazione EBRI "Rita Levi-Montalcini" Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
Maria Eugenia Ariza The Ohio State University early biomarker, AD progression, virus protein
Magnolia Ariza-Nieto epIAWELL LLC epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Aramin Armani AmirKabir University NeuroAnatomy
Steven Armentrout Parabon Computation MDR, epistatis, cloud computing
Rui Armindo Hospital Beatriz Ângelo ASL; Neuroimaging; Research; Teaching
Nicole Armstrong National Institute on Aging Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
Thomas Arnold University of Pennsylvania Cortical thickness, cortical atrophy
priya arora Thapar Institute of Engineering and Technology Alzheimer disease
FARAMIDA ARSHAD MULTIMEDIA UNIVERSITY fara
Emilio Artacho-Perula University of Castilla-La Mancha Alzheimer, Euclidean distances, MRI
Eivind Arvesen N/A machine learning, deep learning, ai, neural networks
Shiva Aryal Institute of Medicine, Tribhuvan University Teaching Hospital Medical doctor, researcher
Amirhossein Arzani Northern Arizona University hemodynamics, blood flow, perfusion
Nibal Arzouni USC AD, Imaging genetics,
Hadis Asadi Islamic azad university Central Tehran Branch Medical radiation
Fatemeh Asadi Tehran universityof medical sciennce Alzheimer, machine learning
Maame Gyamfua Asante-Mensah Skoltech Neural Networks, Classification
adsad asdhkjashd Stanford ML AI
Tahir Ashad harbin institute of technology image processing,image analysis
Wes Ashford Stanford leptin, Alzheimer, blood, dementia
Miriam Ashford NCIRE Clinical
Al ashir Dhaka International University Brain anomaly
rakhi ashok IGNOU ML
Abida Ashraf GG post Graduate Collage No.1Abbotabad Alzheimer
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
Krish Asija St. John's High School support vector machines,deep learning, neurological degeneration, Alzheimer's,
Breton Asken Brown University risk score, conversion, multivariate base rate, amyloid, ATN
Brianna Askew Alzheimer's Disease Cooperative Study dementia, intervention, risk factors
Eric Aslakson Poiema, LLC adni transmart
farah aslam University of engineering and technology,lore research
amara aslam university of gujrat Parkinson disease
Farrah Aslam University of Wah Alzheimer disease prediction
amara aslam university of gujrat fmri
Toshihiko Aso Kyoto University Graduate School of Medicine BOLD signal, cerebral blood flow, venous drainage
Assif Assad Islamic University of Science and Technology MAchine Learning Deep Learning ARTIFICIAL Intelligence
Ava Assadi macquarie university deep learning
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Tushar Athawale University of Utah ensemble, uncertainty visualization
Selamawet Workalemahu Atnafu university of Bologna Neurological disorder, Machine Learning, Alzheimer
Christy Au-Yeung Sunnybrook Cognition, ASL, fMRI
Gaelle Aubertin-Kirch MIAC-AG standardization, automatic process, software evaluation
Michel Audette Old Dominion University hippocampus, atrophy, prognostic biomarker
Joseph Austerweil University of Wisconsin - Madison Sequencing Biomarkers, Machine learning, individual differences
Ambili AV Hindustan college of arts and science Brain multiplex, Correlative analysis, Dementia, discriminant analysis DNN, Fi
brian avants Biogen brain, thickness, ANTs, conversion, amyloid
Linda Avena Ludwig Maximilians Universität blood brain barrier, glymphatic system, ADNI MEM, ADNI Exec, atrophy, MRI
Andrea Avena-Koenigsberger Indiana University diffusion models, network dynamics
Luciano Ávila FACIT alzheimer pet-scan
Daniel Felipe Avilán Caldas Universidad Nacional de Colombia DTI
Hifza Awan University of Gujrat 123
Shivangi Awasthi Merck & Co. Alzheimer's, biomarkers
Ibrahim Awinle Crescent University, abeokuta White Matter, White Matter Lesion, T2*W, T2, FLAIR, T1
Enes Ayan Kırıkkale University Alzheimer, Deep Learning, CNN, Medical Image Analysis
taha yassine ayari esprit Alzheimer AI DATA
Reina Ayde Basel university Deep learning image reconstruction
Beste Aydemir Bilkent University Course Projects, Alzheimer's, Bilkent University
Yesim AYDIN SON Middle East technical University Data mining, Hybrid Methods, SVM-ID3
Umme Aysha University of Regina Research
Scott Ayton University of Melbourne CSF amyloid b, tau, heart rate, blood pressure
Ebru Ayyurek Namık kemal university neuroscience
Harry Azadbakht TMU University Alzheimer Disease, Prediction, Regression
Emanuel Azcona Northwestern University Graph convolutional networks, machine learning, MRI, graph signal processing
Syed Furqan Azeez Biocliq Technologies Brain Tumor
Fayez Azeez Our Memos Inc cognitive decline
Tiago Azevedo University of Cambridge fmri mri clinical
Ahmadreza Azizi VirginiaTech Adversarial attack
Mohd Hafrizal Azmi Universiti Putra Malaysia AD Classification
MIR AZRA NIT Srinagar DEEP NEURAL NETWORK, ACCURACY TEST
darnisa azzahra Universitas UPN Jakarta Alzheimer's image dataset
jawahar b kongu engineering college dataset
shwetha B sjce Alzheimers, MRI, Wavelets, SVM
Divya B Stigmata techno solutions LLP alzhiemer,ML
Rudhra B IIITMK PARKINSON
Athira B TKMCE Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise
Prathima B N M S Ramaiah University of Applied Science Computer aided diagnosis Mild cognitive impairment Alzheimer's disease MRI
Rajakumar B R Resbee Info Technologies Optimization, Classification, Computer aided diagnosis
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Abbas Babajani-Feremi The University of Tennessee Health Science Center Imaging biomarker; Early identification of the Alzheimer’s disease (AD)
Farzaneh Babashahi ESFAHAN UNIVERSITY OF TECHNOLOGY MRI
alexandra badea Duke CIVM mri, imaging, analysis
AmanPreet Badhwar CRIUGM, University of Montreal neuroimaging, genetics
Lea Baecker King's College London machine learning, MRI
Steven Baete NYU School of Medicine Orientation Distribution Function analysis, Diffusion MRI
elnaz bagheri tehran university deep network+ alzheimer diseaes
dhimas bagus teguh pambudi Informatics Machine Learning. Alzheimer
fatemeh bahadoran babol noshirvani university of technology alzheimer neural network
Alex Bahar-Fuchs The University of Melbourne Cognition, neuropsychiatric symptoms, mood
Elif Bahçekapılı Yıldız Teknik Üniversitesi Machine Learning, Disease
Safa Bahri University of Valenciennes Classification, Deep Learning
Paul Baiju AERO AI
Abhijith Bailur SJCE Mysore MRI
Paul Baird Centre for Eye Research Australia, University of Melbourne AMD, genome wide, interaction
Utkarsh Bairolia IIT ISM DHANBAD Instance based mapping, Multiple kernel learning
Zhang Baiwen Beijing University of Technology AD, MCI convert
Pradeep Bajracharya RIT MRI; Brain; Artifact
Reda Baka Université des Sciences et de la Technologie d'Oran - Algerie convolutional neural network, master's degree, AI, MRI, classification
Ron Baker University of Kentucky Alzheimer's AD Dementia CARTS
Suzanne Baker Lawrence Berkeley National Laboratory AV45, R1
Susan Baker Janssen R&D Diagonsis, Progression, Biomarkers
Mudathir Bakhit Fukushima Medical University DLPFC, tractography, connectome
Naman Bakhru IIT Kharagpur Hidden Markov Model, Bayesian networks
Akhil Bakhshi KCL Schizophrenia
Arnold Bakker Johns Hopkins University Entorhinal Cortex
Kavitha Bakshi Ryerson Medical Machine Learning
Abhishek Bal Calcutta University PET datasets, brain
PAVITHRA BALA LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING ALZHEIMERS , EEG
Andrea Balado qubiotech PET, MRI, quantification
kishore balasubramanian Dr MCET CNN, bio insired algorithms
Erica Balboni University-Hospital Company of Modena Hippocampal Segmentation Deep Learning
Marcos Balle Universidad Politécnica de Madrid T1, DTI, MCI, AD
Oluwaseun Adebayo Bamodu Taipei Medical University - Shuang Ho Hospital Proteome, Genome, Parkinson's Disease, Motor disorder, Cerebrum
parthi ban VIT university mri, alzheimers , CNN
Dipankar Bandyopadhyay Virginia Commonwealth University DTI, tensor regression, spatial methods
Seojin Bang Carnegie Mellon University longitudinal; multimodal; clustering; machine learning
Ji-In Bang CHA Hospital neuroimaging
Katherine Bangen University of California, San Diego vascular risk, cerebral blood flow, amyloid
Waqas Bangyal University of Gujrat(UOG), Gujrat, Pakistan Deep Learning; Brain MRI Classification, 3D-CNN;
Rana Banik Vanderbilt University Medical Image Synthesis, Inhomogeneity study
Sarah Banks UCSD tau; alzheimer's; sex differences
Shuhei Bannae Canon Medical Systems Corporation Alzheimer disease
Leonie Banning Maastricht University Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
SANCHIT BANSAL the university of hong kong -
Deepika Bansal The NorthCap University Gurugram Machine Learning, Deep Learning, MRI Image
Jaume Banus Cobo INRIA Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid
Rohan Bapat Stony Brook Machine Learning, Convolutional Neural Network
Jed Barash Soldiers' Home Hippocampus, opioids, Alzheimer's
ali barati tums rs-fmri
Eduardo Barbará Universidad Autónoma Metropolitana (UAM) image processing data analize
Robert Barber University of North Texas Health Science Center Alzheimer's disease genetics
Justin Barber University of Kentucky neuropsych testing, education, amyloid, wmh
Philip Barber University of Calgary stroke; TIA; brain atrophy; dementia
Javier Barbero Universidad de Córdoba Machine Learning, Volumetric imaging, Metaheuristics
Michael Barbine Kinometrix Inc. Health, Personalized Health, IPHA
Jordan Barbone West Chester University Independent, personal use
Adriano Barbosa da Silva Queen Mary University of London Machine Learning, Artificial Intelligence, Prediction
Flavia Roberta Barbosa de Araujo Federal University of Pernambuco Machine Learning, Alzheimer, GWAS, Tools, SNPs
Steven Barger University of Arkansas for Medical Sciences amyloid, PIB, florbetapir, prescription, drug
IOANNIS BARGIOTAS ENS CACHAN Control, Alzheimer,PET images
Sezin Barın Erciyes University sznbrn287
Giuseppe Barisano University of Southern California perivascular spaces
chris barlow The Open University AD, Dementia, MCI, Biomarkers, Trisomy 21
Josephine Barnes UCL Institute of Neurology hippocampus, whole brain
Sandra Barral Columbia University GWAS plasma beta amyloid
Megan Barrell Cardiff University dMRI, pipeline
Hannia Barrera University of California Davis Brain, health equity, minority groups
Olivier Barret CEA Normalization, ATLAS
Kathryn Barrett The University of South Carolina Extra Credit
Matthew Barrett University of Virginia School of Medicine Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
Muhammad Hablul Barri Telkom University alzemier
Daniel Barry Ulster University Machine Learning, algorithm, classification
vera barstad University of Agder Deep Learning, 3DCNN,pointcloud
Antara Titikhsha Barua Asian University for Women AD
Chinmai Basavaraj University of Arizona MRI, fMRI, Deep Learning, Alzheimer's
Suryakanth Basavaraj BMSITM MRI,PET
Abol Basher Chosun University Alzheimer
Usman Bashir St Barts Hosptal CNN
Rodrigo Basilio IDOR DNN Machine Learning
Natalia Basimova Moscow Institute of Physics and Technology Convolutional Neural Nets, multiclass classification, regression models
Rani Basna University of Gothenburg, Institute of Medicine Alzheimer's disease, mild cognitive impairment, longitudinal,
Cher Bass King's College London generative models, deep learning, biomedical data
Wietske Bastiaansen Erasmus University Medical Center Rotterdam MEDICCS summer school
Anirban Basu University of Washington, Seattle dementia progression, prediction, distributional statistics
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Debraj Basu University of California Davis life style, AD, diversity
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
Veeky Baths Birla Institute of Technology & Sciences, K. K. Birla Goa Campus Cognitive diseases, Computational Neurosciences
Mark Battle GE Healthcare Centiloid, PiB, imaging windows
Pryangka Rao Batumalay Ryerson University Biomarkers and Alzheimer Disease Stages
Lucia Batzu King's College London - Maurice Wohl Clinical Neuroscience Institute Alzheimer's disease; MRI; neuroinflammation
Matthew Baucum University of Tennessee Knoxville machine learning, disease progression, time series
Roman Bauer Newcastle University computational neuroscience
Sarah Bauermeister University of Oxford machine-learning; cognition; socioeconomic status; lifestyle; early-life
Armin Bayati University of Victoria Cognitive disorder, microscopic, macroscopic, diagnostic, vasculature
Baris Baydargil Kyungsung University Alzheimer's disease, Medical Imaging, Deep Learning, Meta Learning
Peter Bayley VA Palo Alto Health Care System, CYP191A, hippocampus, apoe4, neuropsychology
Omid Bazgir Genentech Feature extraction and feature learning
Derek Beaton Baycrest partial least squares, multivariate, genetics
Helen Beaumont University of Manchester diffusion DOC atlas
Lino Becerra Invicro asl, cbf
Laurel Beckett UC Davis Biostatistics
Simone Beer Forschungszentrum Juelich quantitative PET
Joanne Beer University of Pennsylvania Perelman School of Medicine imaging, multi-scanner
Mirza Faisal Beg Simon Fraser University MR, LDDMM, segmentation, registration, statistical shape analysis
Iman Beheshti CERVO Research Center, Mental Health University Institute of Quebec estimation, brain age, MRI
Qumars Behfar Cologne University hospital Connectome
Hamid Behjat Lund University shape analysis, topological similarity, classification, early diagnosis
Jordan Behn Northwestern University PPA
Tina Behrouzi University of Toronto GSP for brain mapping
Nadja Bekele EY Deep Learning, Recurrent Neural Networks, Reinforcement Learning
Victoria Belancio Tulane University genetic variation
Mahanand Belathur Suresh Sri Jayachamarajendra College of Engineering AD,MCI
Sergey Belavin Saint Petersburg University Classification. Machine learning.
David Belinsky Stony Brook University Computer Vision, GAN
Maura Bellio University College London graphic user interface; MRI; disease progression models; neurodegenerative
Tamara Belostotska University of Hildesheim Machine Learning, Deep Learning, Convolutional LSTM
Luis Beltran-Parrazal Universidad Veracruzana SVM-REF
Olfa Ben Ahmed UNiversity of Poitiers Deep learning, medical imaging
amira ben rabeh tunis Alzheimer , CAD
maissa ben soussia UNC PET
Marc Benayoun Wake Forest Baptist Health convolutional neural network, AI
Federica Bencivenga University of Roma "La Sapienza" connectivity, fMRI, resing-state networks
Andrew Bender Michigan State University diffusion MRI, machine learning, latent factors,
Andreana Benitez Medical University of South Carolina MoCA, Item Response Theory
Neal Bennett Gladstone Institutes metabolism
Jacob Benoit Medical College of Wisconsin AD
Takis Benos University of Pittsburgh graphical models, machine learning, systems biology
David Benrimoh McGill University Psychosis, schizophrenia, structural networks
Mariana Bento university of calgary machine learning, image features, dementia
El Mehdi Benyoussef Hassan 2nd University of Casablanca Machine Learning, Image Processing, Alzheimer's Disease
Meryem Benyoussef Sorbonne University Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment
Seo Beomjin Kyunghee University DCSRN , MRI BRAIN image , super image resolution
Maurizio Bergamino Laureate Psychiatric Clinic & Hospital DTI; GQI; structural connectivity; prediction model
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
Michael Berman Hadassah Academic College CT, MRI, Ultrasound, Imaging reconstruction, Deep Learning
Jose Alfonso Bernal Moyano Universitat de Girona longitudinal changes, atrophy, convolutional neural networks
Brandon Bernardo Chapman University Data Management, Disease, Genetics
Olivia Bernstein University of California, Irvine prediction, biased sample, clinical trials
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
Laiss Bertola Universidade Federal de Minas Gerais Genetics, using ADNI data as a teaching example, Friday Harbor
Maxime Bertoux Inserm Alzheimer, ATN
Maxime Bertrait Siemens Healthineers Morphometry
Lars Bertram University of Luebeck GWAS, EMIF, QTL, PGS
Olfa Besbes ISITCOM http://www.infcom.rnu.tn/content/ Machine and deep learning, early detection
Pierre Besson Northwestern University Deep learning, prediction, big data
John Best University of British Columbia forecasting, TADPOLE, regression-based prediction
Richard Bethlehem University of Cambridge statistical learning, neuroimaging
Tobey Betthauser University of Wisconsin-Madison PET, neuroimaging, processing
Erin Beveridge Canon Medical Research Europe Brain segmentation, neurodegenerative disease, machine learning
William Bevis University of WIsconsin, Madison UI UX
Archana Bhade Government College of Engineering,Amravati machine learning
Sayantan Bhadra Washington University in St. Louis generative model, MRI
Arijit Bhaduri Jaypee Institute of Information and Technology image-classification
Nikita Bhanot National institute of technology, Jalandhar (INDIA) alzhiemer, neural network, machine learning
Pradyumna Bharadwaj The University of Arizona MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID
Kripanshu Bhargava Brain Cradle AI Deep Learning, Alzeimer Disease
Harsh Bhasin Jawahar Lal Nehru University MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
Chethana Bhaskara University of Southern California alzheimers, machine learning
BHUVANESHWARI BHASKARAN The University of Memphis Machine learning, classification, neuroimaging
Varsha Bhat WorldServe Image processing
Omkar Bhatavdekar Johns Hopkins University Deep learning, AI, Machine learning
Kirti Raj Bhatele Rustamji Institute of technology, BSF Academy, Tekanpur Machine learning, Deep learning, Alzheimer’s disease, Schizophrenia, Parkinson’s
Priya Bhatt Oregon Health and Science University gwas, alzheimer's disease, statistics
Atanu Bhattacharjee Tata Memorial Centre Joint longitudinal modeling, time to event data, biomarker
SATARUPA BHATTACHARJEE UC DAVIS Analyze, Statistics
Debanjali Bhattacharya International Institute of Information Technology Bangalore Texture, shape, volume
Sudeepa Bhattacharyya Arkansas State University metabolomics, neuroimaging
ARINJITA BHATTACHARYYA University of Louisville shrinkage, logistic regression, variable selection, prediction
Satyabrat Bhol IIT Chicago Alzheimers
SAJAN BHOSALE SANJAY GHODAWAT UNIVERSITY Alzheimer's Dataset
Alauddin Bhuiyan NYU School of Medicine Machine learning, MRI, Socio-demographic parameters, Alzheimer's
Xin Bi Northeastern University brain network, fMRI, Alzheimer's Disease
Qiuhui Bi Beijing Normal University DTI,metabolism,aging
shijia bian EMORY UNIVERSITY AD disease progressin
Junyu Bian UM-SJTU Joint Institute W@icyoshrup9
Chun Mei Bian Tongji Medical College,Huazhong University of Science and Technology bile acid;intestinal microorganism;Alzheimer's disease
Ayesha Bibi University of Gujrat Alzheimer's disease
Wajiha Bibi Aston University biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement
Amen Bidani IDeTiC Alzheimer's, Machine Learning
Kelsey Biddle Biddle Brigham & Women's Hospital cognitive decline, marital status, amyloid-beta, preclinical AD
Ricardo Bigolin Lanfredi University of Utah Visual dataset explanation, regression, adversarial training
mahtab bigverdi sharif university of Technology diagnosis method dataset
Murat Bilgel National Institute on Aging FDG, amyloid, DTI, MRI, atrophy, longitudinal
Ali Bilgin University of Arizona WMH, segmentation, deep learning
Benjamin Billot UCL segmentation, volumetry analysis
Reem Bin Hezam Dublin City University dementia, modifiable risk factors
song binbin Donghua University studying master;Alzheimer's disease
Marie-Abele Bind HARVARD UNIVERSITY Statistics
Ni Bingjie Huazhong University of Science and Technology alzheimer's disease
Huang Bingsheng Shenzhen University AD, brain age
Huang BingYao Beijing University of Posts and Telecommunications joint modeling
Florian Birk University of Tübingen Hippocampus
Colin Birkenbihl Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI AETIONOMY, statistical comparism, modeling, validation
George Biros Biros The University of Texas at Austin Image registration, image segmentation, tau analysis, PET, MRI, machine learning
Joshua Bis University of Washington Alzheimer's disease, sequencing, ADSP
Gérard Bischof University Hopsital Cologne Alzheimer's disease, resting state, fMRI
Sotirios Bisdas University College London Brain ageing; Cognition; Brain tumour
Ram Bishnoi Medical College of Georgia dementia, latent variables, neuroimaging
Joseph Bishop Anthem Inc Classification Machine Learning
Anna Bishop Boston University deep machine learning, MatLab, AlexNet, neural network
David Bissig OHSU retina, ocular
Subhrangshu Bit Ramakrishna Mission Vivekananda Educational and Research Institute Algorihtm, Machine Learning Preclinical Alzheimer's disease
Sandra Black Sunnybrook Research Institute MRI Volumetry, Alzheimer disease progression
Jennifer Blackwood University of Michigan-Flint MCI, neurological exam, vital signs
Elise Blaese IBM Research NIA GCAD Watson
James Blair University of Virginia Cognitive Impairment, Structure, T1
Joshua Blake LMU University Munich Alzheimer Prediction, Alzheimer Detection
Paul Blanc APHP probabilistic FDG PET conditional variational auto encoder
Sergio Blanco Trejo University of Seville Algebraic topology
Emma Bluemke University of Oxford healthy ageing, neural networks
Jenna Blujus UWM Alzheimer's disease
Dominik Blum University Hospital Tuebingen Parkinson, Cognition, FDG, denoising
Stefano Blumberg University College London Experimental Design
Jan Krzysztof Blusztajn Boston University School of Medicine CSF, plasma, biomarkers
Andrew Boateng-Poku University of Miami Cognition, aging, brain, memory
Kaylee Bodner Duke University Medical Center Alzheimer's, neurofilament light, genes
Susan Boehnke Queen's University CSF biomarkers, lumbar puncture
Ronald Boellaard University Medical Center Groningen Image methodology, quantification, processing, classification
Bojan Bogdanovic Ss. Cyril & Methodius University in Skopje bioinformatics, prediction, AD, university
Craig Bohrson Harvard Medical School clonal hematopoiesis, Alzheimer’s disease, Dementia
Arun Bokde Trinity College Dublin MRI, grey matter, volumetric, hippocampus
Sideny Bolden Bethune Cookman University AD, MRI, SVM, Machine learning, diagnosis, neuroimaging biomarkers,
Andrea Bolivar Matos Massachusetts Institute of Technology (SSO) predictive, onset, alzheimers disease
Borna Bonakdarpour Northwestern University Resting state fMRI, language network
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.
Ester Bonmati University College London coursework;matlab;
Brian Booth University of Antwerp MRI atlases, image registration, metric learning
Parinita Bora MSRUAS machine learning
Miguel German Borda Borda Stavanger University Hospital cognitive testing, computerized cognitive testing, Alzheimer´s disease, MCI
Polina Borisova NRU HSE Topological data analysis, persistent homology, combinatorial Laplacians
arezoo borji amirkabiruniversity alzheimer-diagnosis-prediction
Léonie Borne University of Newcastle Anatomy, structural MRI, cortical sulci, machine learning
Alexandre Bortoli Stanford Tau ; prions ; AD
Christian Boschenriedter Heinrich-Heine-Universität Düsseldorf Parkinson's disease, machine learning
Aditya Bose Manipal University Jaipur GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data
Anirban Bose Chennai Mathematical Institute Topological Data Analysis
Zoran Bosnić University of Ljubljana Alzheimer; data mining; computer science; decision support
Nicholas Bott University of California San Francisco cognitive aging; structural imaging; inflammation
Rachid Bouamrane Université des Sciences et de la Technologie d'Oran large complex systems, feature extraction, very large networks
Johémie Boucher Université de Montréal neuropsychology of aging; alzheimer's disease; clinical research
Reguieg Bouchra istanbul technical university brain network
Wafa Boukellouz university of ferhat abbas setif MRI, CTm prediction
Olga Boukrina Kessler Foundation education; statistics, proportions, frequencies
Pierrick Bourgeat CSIRO ICT Centre Segmentation, registration, longitudinal study
Jessica Bourgin Université Savoie Mont Blanc Amygdala; Attentional network
Jessica Bourgin Université Savoie Mont Blanc emotion; attention; amygdala
abdelmajid bousselhalm ENSET MRI, dti
souha bousselmi faculty of sciences of tunis irm, recognition, sobell filter ,
thebti Boutheina Monastir neuro imagerie, alzheimer disease, multiple sclerosis
Emily Bove Cogstate Cogstate
Hamidreza Boveiri Shiraz University of Technology medical image registration; deep neural networks
Daniel Bowgett Northumbria University joint models, improved discrimination, biomarkers
Mark Bowren University of Iowa lesion method, neuropsychology, structural equation modeling
Andrea Bozoki Michigan State University FDG-PET; PIB-PET; Alzheimer's disease
Jeffrey Brabec University of Vermont NetWAS, PheWAS, CNNs, Derived-phenotypes, Canonical Correlation Analysis
Nicholas Bradfield St Vincent's Hospital Melbourne Mild cognitive impairment; neuropsychology; memory
Tyler Bradshaw University of Wisconsin attenuation correction
Larissa Braga West Virginia University Safety, adherence
Joana Braga Pereira Karolinska Institute CSF, MRI
Delfina Braggio Pladema hippocampus, shape, volume, deformation
Lodewijk Brand Colorado School of Mines haploview, plink
Jose Bras UCL, Institute of Neurology Neurogranin, neurofilament light, biomarker, genetics
Maciej Brasewicz Uniwersytet Szczeciński Alzheimer
Meredith Braskie USC inflammation
Jana Bratanić Faculty of science Split alzheimer desease
Noa Bregman Tel Aviv Medical Center verbal fluency
Michael Brehler Medical College of Wisconsin Radiomics, PET, MRI
James Brewer UCSD subregional change MRI, PET
Adam Brickman College of Physicians and Surgeons, Columbia University white matter hyperintensities, PIB, amyloid
Ross Briden Brown University MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis
Joshua Bridge University of Liverpool AI, Deep learning
Robert Bridges Aegis Imaging Consultants Hypometabolism
Danielle Briggs Brigham and Women's Hospital ADNI 3, LONI, coordinator
brizzle brizzle Sichuan University Jincheng College AI bigdata
Alex Harrison Brody Yale University Pyk2, florbetapir-PET, CSF amyloid beta, CSF tau
Caroline Broichhagen Institute of Medical Biometry and Statistics Deep Learning, Neuroimaging, Classification, Cognitive Science, Machine Learning
Esther Bron Erasmus MC Classification
Kévin Brou Boni Centre Oscar Lambret GAN, CT, MRI, pseudo-CT, radiotherapy
Jonathan Brouillette Hopital du Sacre-Coeur de Montreal Retinoic acid, Alzheimer's disease, Single-nucleotide polymorphisms
Rachel Brouwer UMC Utrecht longitudinal brain change, GWAS
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
Sam Brown University of Exeter DTI, dementia
Robert Brown McGill University Brain extraction; Deep learning
Thad Brown Personal Interest pydicom
Matthew Brown University of Alberta machine learning, diagnosis, prognosis, biomarkers
Chiara Brück ErasmusMC Microsimulation modelling; Public health; Dementia; Epidemiology
Sarah Brueningk ETH Zurich Interpretability, machine learning, risk prediction
Iva Brunec University of Toronto Hippocampus, Memory decline, fMRI
Irene Brusini KTH Royal Institute of Technology Structural MRI, segmentation, deep learning, shape analysis
Enrico Bruttomesso MSC computer engineering student (Uninettuno International University) alzheimer mri deep learning neural network dnn
Annie Bryant Massachusetts General Hospital tau, perfusion, blood vessels
Andrea Brzeczkowski University of Wisconsin - Madison pharmacokinetic, imaging
Antoni Brzoska Neurogazer validation, machine learning
Rakshitha BS christ faculty of engineering Machine Learning , Deep Learning, Classification
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
Hans-Georg Buchholz University Medical Center NEUROSTAT, SPM12
MAGDA BUCHOLC University of Ulster dementia; Alzheimer’s disease; cognitive impairment; clinical decision support
Bradley Buchsbaum Baycrest Centre for Geriatric Care fMRI PET correlation
Maciej Buciński University of Adam Mickiewicz Neuroimaging, Deep Learning, Data Science, Machine Learning
Katharina Buck Roche Diagnostics Elecsys CSF Measurements
Hudson Buck Santa Casa de Sao Paulo School of Medical Sciences Alzheimer, diabetes, hypertension, chronic diseases
Virginia Buckles Washington University in St. Louis DIAN ADNI
Rachel Buckley Massachusetts General Hospital/Harvard Medical School subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Gabriel Bucur Radboud University Nijmegen causal inference, Mendelian randomization, Robust estimation, Bayesian inference
Charley Budgeon University Of Western Australia Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Kauê Bueno Universidade São Judas Tadeu #deeplearnig #machinelearing #alzheimer
Hara Govinda Sai Praneeth Bugata Indian Institute of Technology, Tirupati Personalized Model, Bioinformatics, Machine Learning
Minh Bui Thuy Loi University Minh Bui
Duc Toan Bui Sungkyunkwan University synthetic image, cycleGAN
Duc Toan Bui Sungkyunkwan University GAN
Luna Buitrago SUNY Downstate Medical Center Sphingosine-1-phosphate
Fahad Bukhari Karachi Institute of Economics and Technology Help the Alzheimer's patient
Sayed Ali Raza Shah Bukhari Jamil ur Rahman Ceter for Genome Research Mitochondrial Genomes, Alzheimers
Santi Bullich Life Molecular Imaging GmbH florbetaben SUVR cutoff
Brendan Bullivant University of California Santa Barbara Machine Learning
Saurabh Bundela Jabalpur University Deep Learning, Image Analysis, Genetic and Proteomics biomakers
Braydon Burgess Genentech AD Discovery
Ninon Burgos University College London PET synthesis
Haroon Burhanullah Johns Hopkins University Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging
Samantha Burnham CSIRO Alzheimer's; genetics, Validation, Longitudinal
Hendrik Burwinkel Technical University Munich Graph-based deep learning, machine learning
Tomasz Burzykowski Center for Statistics biomarker, Alzheimer's disease, biostatistcs
Eva Bus Vrije Universiteit Amsterdam Machine learning; Supervised machine learning; Prediction
William Bush Case Western Reserve University Loss of Y, Copy Number
Stephanie Buss Beth Israel Deaconess Medical Center cognitive reserve, exercise, education, music, social
Aurelie Bussy McGill University Hippocampus Segmentation Aging Alzheimer's Disease
Paul Butler Biogen neuropsychology, Alzheimer's disease, MCI, aging
Omar Butt Washington Univeristy in Saint Louis Resting State
Omar Butt Washington Univeristy in Saint Louis Resting State
Markus Butz-Ostendorf Biomax Informatics Big Data, semantic data integration, multimodal brain imaging, AD
Samantha By Hyperfine segmentation
Seul Kee Byeon Mayo Clinic machine learning analysis
Gihwan Byeon Seoul National University Hospital Alzheimer, neurodegeneration, homocysteine
Jiyoung Byun KAIST Alzheimer's disease
Michał Błotko Silesian University of Technology MRI, Alzheimer, Data Science
Sreelakshmi C htic Deep learning
C C c c
Nagarathna C R Dsatm Mri, pet scan, eeg
Ricardo Alonso Caballero Luna Universidad de Monterrey MCI, AD, CONVERSION
Emilio Cabañero Universidad Autonoma de Madrid degree project
Ryan Cabeen USC LONI tools
Monia Cabinio IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente AD, HC, structural MRI, functional MRI
YULIANA CABRERA ATRI EDC
Ylermi Cabrera-León Universidad de Las Palmas de Gran Canaria Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
erik cai wenzhou university multimodal neuroimaging
Chunting Cai Xiamen Univeersity cct724724
Jiahui Cai stu AD
Xiaoying Cai First affiliated hospital of SUN YAT-Sen university mild cognitive impairment, surgery, Alzheimer's Disease
Shangyu Cai Szu University AD FMRI
Hailin Cai Chongqing University AD,
Ryan Cali UMass Medical School Alzheimers, Machine Learning, Neuroscience
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
Frederic Calon Universite Laval Alzheimer
Jacob Calvert Dascena machine learning, preidction, disease progression
Noelia Calvo Universidad Nacional de Córdoba cognitive reserve bilingualism aging
Eduardo Camacho UPV Artificial Intelligence, lesion segmentation
Aldo Camargo University of Liège Perfusion MRI, cognition changes
Alex Campbell University of Cambridge deep learning, machine learning, fmri, diagnosis, unsupervised
David Campbell University of Auckland epidemiological student project
Jacques-Yves CAMPION Aix-Marseille University machine learning, classify, alzheimer disease, fdg-pet, mri, discordance index
Kylie Campion University of Wisconsin-Madison Tau and beta
Hande Can New York University Medical School Seasonal plasticity, biomarkers, Alzheimer disease,
Juan Sebastian Cañas Silva Universidad Nacional de Colombia Tractography
Samuele Cancellieri University of Verona Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS
Vasco Candeias INESC-ID dynamic bayesian network, cloud computing, web, internet
Sema Candemir The Ohio State University Wexner Medical Center computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P
Marco Canevelli Sapienza University frailty, aging
Jose L. Cantero Pablo de Olavide University sleep2019
Shuman Cao Xuan Wu Hospital, Capital Medical University 54_Feliz
Qi Cao Rensselaer Polytechnic Institute Dynamical Systems, Time Serious
Yan Cao University of Texas at Dallas image analysis
Bing Cao university of north carolina at chapel hill medical image synthesis
Bo Cao University of Texas Health Science Center at Houston Machine learning
Guanqun Cao Auburn University functional data, ADNI
Jiguo Cao Simon Fraser University brain network, QTL mapping
yingli cao Jiangnan University study
Lingcan Cao Xi'an Jiaotong University brain network dynamics, default mode network
DANIEL CAPON BLOOD SYSTEMS RESEARCH INSTITUTE protein engineering, antibodies, amyloid beta, biomarker
Camilla Caprioglio University of Geneva Alzheimer's disease, cognitive functions
Jared Cara Vivid Genomics Genomics, machine learning, prediction, co-morbidities, pathology
Chiara Carbone Università degli Studi di Modena e Reggio Hippocampus, PhD
filippo carducci university of rome PET AD
Bruce Carlson Ohio University education
Jeremy Carmasin Massachusetts General Hospital PIB FDG AD MCI
Owen Carmichael UC Davis cortical thickness
Diedre Carmo Faculty of Electrical and Computer Engineering - UNICAMP Deep Learning, Hippocampus Segmentation
Miguel Adolfo Caro Parrado Universidad Nacional de Colombia brain aging patterns
Thomas Carr University of East Anglia / Norfolk & Norwich University Hospitals Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
Sarah Carr Case Western Reserve University amyloid, POSET
Minerva Carrasquillo Mayo Clinic CAA, neuroimaging, intracerebral hemorrhage, GWAS
ANGEL CARRILLO BERMEJO INSTITUTO DE INVETSIGACIONES EN MATEMATICAS APLICADAS Y EN SISTEMAS DEEP LEARNING
Fernando Carrió Argos Instituto de Física Corpuscular - University of Valencia Deep Learning, Super Resolution, FPGA
Caitlin Carroll Wake Forest School of Medicine glucose metabolism, Alzheimer's
Luis Cartagena USP Body, electrical, sensor
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
Jake Carus Biogen Symposium
Emily Carvajal Universidad del Valle preprocessing, standarization
Vítor Carvalho IF SUDESTE MG MRI Image, Machine-learning, Alzheimer's Disease
Sofia Carvalho Universidade do Minho neuroimaging, mri, alzheimer, prediction
Greg Cary Jackson Laboratory genetic association, drug targets
Adrià Casamitjana Universitat Politència de Catalunya PhD, machine learning, bioengineering, early stage of AD
Adrià Casamitjana UCL MRI, preclinical, machine learning
Ramon Casanova Wake Forest University School of Medicine Machine Learning, Regularization
David Cash University College London familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Julian Caspers University Hospital Düsseldorf resting-state fMRI, machine-learning, classification
Isabella Castiglioni National Reserach Council AD, MCI, image classification, diagnosis, MRI, PET
Jose Maria Castillo-Secilla University of Córdoba AD, Alzheimer, Deep Learning, GPU
Mac Gayver Castro University Center Christus Alzheimer disease, imaging, algorithms
Eduardo Castro IBM Research longitudinal, Alzheimer's disease, multimodal, multivariate, predictive
JUAN ANTONIO CASTRO SILVA UNIVERSIDAD DE SALAMANCA medical image analysis, alzheimer's disease
Ana Sofia Castro Verde Champalimaud Foundation DTI rsfMRI
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
Kyra Cebula University of Manitoba brain imaging
Bernardo Cecchetto Universidade Federal de Ciências da Saúde de Porto Alegre h9cd5ber
Vanessa Ceja University of California, Riverside Scan quality analysis, Clinical MRI, Computational Neuroscience
Gaffari ÇELİK Ağrı İbrahim Çeçen Universitesi Alzheimer’s Disease, Deep Learning
Jade Centeno Amandio PUCRS research
William Ceriale University of Washington Machine Learning, Neural Network, Alzheimers
Stefano Cerri DTU segmentation atrophy
Ricardo Cerri Federal University of Sao Carlos machine learning, SNPs, Alzheimer Disease
Tess Cersonsky Brown University AD Risk, Machine Learning, Predictive Modeling
Alper Çevik Middle East Technical University Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Miriam Cha Harvard University MRI; Change detection
Yoonjeong Cha Immuneering target identification, pathology, survival analysis, pathway analysis
Satish Chada Pulmonary Services of North Texas Machine Learning, Artificial Intelligence, MCI, AD, COPD
Pavan Chaggr University of Oxford Alzhiemer's, morphology, degeneration
Yaqiong Chai CHLA deep learning reconstruction
SABYASACHI CHAKRABORTY Inje University Alzheimer, Parkinson
ADITYA CHAKRABORTY UNIVERSITY OF SOUTH FLORIDA STATISTICAL MODEL, Alzheimer's disease,
Daniel Chalupa Brno University of Technology Pharmacokinetic Modeling, Multiple Classifier Systems
Jordan Chamberlain The Pennsylvania State University ADNI3 advanced diffusion, Siemens Advanced Prisma VE11C
Harshil Champaneria Arizona State University Research Project on Deep Learning
Elaine Wan Ling Chan International Medical University SVM classifier for the determination of progressive deterioration of AD
Kannie WY Chan City University of Hong Kong; The Johns Hopkins University School of Medicine MRI, AD, deep learning
sic chan FDA PET, MRI, CSF biomarkers
Yi Hao Chan Nanyang Technological University Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets
Eldon Chan University of California, Berkeley Deep Learning, Alzheimer's Recognition and Prediction
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Huang Chan-Yi Acer Brian MRI
Steven Chance Oxford brain diagnostics MRI, DTI, AD, MCI
Tirtha Chanda University of Magdeburg, Germany disease
Hannah Chandler Cardiff University MRI PET genetic risk
YASHVI CHANDOLA GBPIET ALZEIMER DISEASE, CAD SYSTEM
Avinash Chandra King's College London Alzheimer's disease; amyloid; tau; genetics
Harish Chandran Griantek correlation analysis, linear discriminant analysis, brain multiplex
ROST CHANG Qingdao University Alzheimer disease biomarker
QU chang Hebei University of Technology Dysfunction and stemness of tumor-infiltrating T cells are triggered by a common
Changgee Chang University of Pennsylvania integrative analysis, multi-task learning
Hui-Ming Chang Chung Shan Medical University VBM/AD
Benson Chang National Chiao Tung University Alzheimer's,MRI,CNN
RUI CHANG University of Arizona Alzheimer's, Sex difference
Ya-Hsuan Chang University of Kentucky Data analysis
Minyu Chang Cornell University Fuzzy-trace theory; factor analysis
Jose Chang Irias Halmstad University Convolutional nueral networks, Lewy body dementia, dementia detection
huang changzeng Wuhan university hcz19960301
RYU CHANJU BUNDANG CHA HOSPITAL Deep learning
Li Chao Institute of Automation, Chinese Academy of Sciences early stage, classification, MCI, AD
wang chao North University of China Wl940414.+0
Li Chao Beijing Jiaotong University Incompletion Multi-model Data learning,Missing Data Completion
James Chapman UCL Machine Learning Neuroimaging Brain Behaviour Associations
Zachary Chappell Institute of Psychiatry, Psychology & Neuroscience, King's College London Diffusion MRI, multicompartment models, MCI, AD
Christine Charvet Delaware State University Cortex
Lina Chato University of Nevada, Las Vegas MRI brain images, T1, flair, T2
PUBALI CHATTERJEE UNIVERSITY OF CALCUTTA Image Segmentation
Abhinaba Chatterjee Weill Cornell Medical College Deep learning
Subarna Chatterjee Ramaiah University of Applied Sciences MRI, fMRI, PET, Genome dataset
Soumick Chatterjee Otto von Guericke University Magdeburg Deep Learning
Snehashis Chatterjee university of calcutta DEEP LEARNING
Ann Chau HKU ASL and amyloid
Wing Fung Chau Cardiff University Big Data, lipids and metabolites
Ganesh Chauhan Centre for Brain Research, Indian Institute of Science cerebral small vessel disease, genome wide association, vascular risk factors
Laurent Chauvin Ecole de Technologie Superieure Local Features, Subject Identification
Tongtong Che Shandong Normal University group-wise registration
Yanqiu Che Penn State College of Medicine MRI; Alzheimer's Disease; Machine Learning
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
Lovena Chedumbarum Pillay University of Oxford Machine Learning, Alzheimer's Disease, MRI, PET
Christel Chehoud Janssen Deep Learning
Chang Chen Nanjing Drum Tower Hospital, Medical School of Nanjing University neurologist
HongGuai Chen NCU BDBC-2020
Haifeng Chen Affiliated Drum Tower Hospital, Nanjing University Medical School memorry function; rTMS; multimodal neuroimaging
Li Chen University of Washington Image processing
Xin Chen University of Nottingham Longitudinal image feature extraction; disease diagnosis.
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
sijie chen Yitu healthcare technology AD, classification, CNN
Sophie Chen Beijing University of Technology fMRI classification
Dong Chen Southeast University cdx314159
Qianyun Chen The Chinese University of Hong Kong deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease
Junjie Chen Temple University computational methods, integrative analysis, casual factors
XIAO CHEN 复旦大学 Medical Image Analysis
Jinyang Chen University of Georgia Deep Learning, Machine Learning, Disease Diagnosis, Classification
Xiaozheng Chen Xiamen University neuroimaging, dynamic functional connectivity, deep learning,
liangming chen Lanzhou University neural network, deep learning, Alzheimer
Xu Chen University of North Carolina MRI segmentation
EDDIE CHEN Stony Brook machine learning, AI, MCI, AD
Shuo Chen National Innovation Institute of Defense Technology deep learing, super resolution, medical imaging
Meng Chen Southeast University early diagnosis
Gang Chen Medical College of Wisconsin fMRI, MRI
Tianhua Chen University of Huddersfield fuzzy systems, convolutional neural network, clinical decision support
Yiming Chen University of Maryland neural network
Xiao Chen Amy Medical University, Daping Hospital Amyloid PET, Alzheimer’s dementia, Amyloid staging
Xi Chen New York University School of Medicine/Medical Center (SSO) Alzheimer APOE progression
Chao Chen Stony Brook University Image analysis, deep learning.
Xin Chen Shanghai East hospital, Tongji University, School of Medicine Neurodegeneration, Alzheimer,cognitive impairment
Xu Chen SAS Inc Machine Learning
Tao Chen Wuhan University Alzheimer’s Disease, visual features, MRI
Lin Chen Johns Hopkins University MRI, PET
Irene Chen MIT machine learning, subtypes, disease progression
Sherry Chen The University of Sydney Frontotemporal dementia, longitudinal, neural correlates, cognition
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
William Chen MagQu LLC Longitudinal study, differentiate diagnosis, neurodegenerative diseases
Mayun Chen The First Affiliated Hospital of Wenzhou Medical University Smoking; Verbal memory; Hippocampal volume; Glucose metabolism; β-amyloid; Tau.
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Rong Chen University of Maryland School of Medicine machine learning
yun chen mcgill university images segmentation
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
Keyu Chen Liaoning Normal University Resting state; dynamic; fMRI; Classification
Yanxi Chen Arizona State University GWAS
Keping Chen Southeast University AD; circular RNA
Gengsheng Chen Washington University in St. Louis amyloid, gwas
Liang Chen University of Macau miRNA, biomarker
Lihui Chen Sichuan University Academic study
Yu-Chi Chen Monash University cortical morphology, machine learning
GUILIAN CHEN SHENZHEN UNIVERSITY unsupervised segmentation
wuyang chen Central South University multimodal,registration
qiang chen Donghua University segmentation
Ziliu Chen Guangzhou University of Chinese Medicine Aizheimer
Xiang Chen University of Leeds Image Registration, Deep learning
Li Chen Indiana University School of Medicine GWAS, functional analysis, meta-analysis
yan chen DLU ADNI
Bingxu Chen UCSD Image Co-registration
Jiu Chen Nanjing Medical University AD, aMCI, DTI, sMRI, fMRI
Qiufeng Chen Fujian Agriculture and Forestry University/China functional connectivity
Mingzhu Chen Fudan University, Shanghai, China computer-aided medical image analysis
Li chen national university of defense and technology 8722471
Ian Chen UTS MRI analysis; CNN; Alzheimer’s Disease; Disease Degression modeling
Chang-Le Chen National Taiwan University College of Medicine Diffusion MRI, White matter, Fiber cross-section
Zhi Chen University of Electronic Science and Technology of China computer vision, neuroimaging recognition, classification
Yuhang Chen University of Science and Technology of China littlebear888
Zihao Chen Shanghai Jiao Tong University MCI AD predicting model
Mingzhu Chen Fudan University, Shanghai, China computer-aided medical image analysis, algorithm
shuomei chen Anhui Jianzhu University deep learning
Hao Chen Shandong University of Finance and Economics Brain Network Analysis, Alzheimer's disease, Classification
Ting-Huei Chen Laval University structural equation modeling
Yu-An Chen National Yang-Ming University Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif
Bo Chen Fudan University Graph theory, mental illness
Jun Chen University of Michgan data fusion
Tianyi Chen University of Sheffield cj18954310106
LI-HO CHEN NYMU leochen012121
yulong chen zhengzhou university MRI hippo subfeild segmentation
huachang chen Vanderbilt University Medical Center imputation; methodology; evaluation; bioinformatics
Huan Chen Johns Hopkins Bloomberg School of Public Health FDR control, variable selection
Lin Chen Johns Hopkins University MRI, PET
Shuang-Qing Chen the Affiliated Suzhou Hospital of Nanjing Medical University Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning
Fang Chen jackson state university image deep learning Alzheimer's
Guan Wen Chen NTHU Alzheimer
anqi chen Hangzhou Dianzi University learning
Dingfan Chen max planck institute for informatics Anomaly detection, deep generative model
Danni Chen UCLA deep learning, medical imaging, explainable AI, attention model
Yu Chen Central South University Do some researches about the AD
Xiaocong Chen The University of New South Wales Early Detection, Machine Learning
Jinxin Chen Chengdu University of TCM alzheimer,sleep disorders,fMRI
jiaao chen Queen's University research
Dongxuan Chen Southeast University brain,classifier
Chen Zi Yang Chen Zi Yang Guangdong University of Technology ADNI ; GAN; image segmentation
BINJIE CHENG Hunan Normal University Brain,Stroke
Shih-Chun Cheng Chang Gung Memorial Hospital Deep learning
YYUAN CHENG JILIN UNIVERCITY DATASET
Weili Cheng North China University of Water Resources and Electric Power Time-dependent ROC curves with missing biomarkers
Shih-Chun Cheng Chang Gung Memorial Hospital Deep learning
Ruida Cheng NIH brain segmentation and classification
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
Chenganen Chenganen GuangDongBaiYun University ADNI; FCN; GAN; predict
Tanya Chenhall Cogstate Cogstate
chenpeng chenpeng The First Affiliated Hospital of Guangxi Medical University ASL,fMRI,Cognitive impairment
Li Chenping Central South University Alzheimer's disease
EUNJEONG CHEON Daegu university dementia, biomarker
ibtissem cherfa université de Bejaia 01031950
Anthony Chesebro Columbia University Network Model, Alzheimer's
Mark Cheung Carnegie Mellon University graph neural network, Spectral theory, neuroimage
Eva Cheung University of HK MRI PET AD MCI
Utkarsh Chhapekar Manipal Institute Of Technology Prediction, Alzheimers, Deep Learning
Aparna Chhibber Merck Research Labs biomarker genetic
Jingyi Chi University of Pennsylvania Deep Learning, GAN, MRI
Gloria Chiang UCSF DTI
Agostino Chiaravalloti University Tor Vergata Alzheimer; functional imaging; PET
Yuhei Chiba Yokohama City University Immunoogy autoantibody MRI
Lee Chien-Yi Brain Navi biotechnology company AI, image registration
Matteo Chieregato Fondazione Poliambulanza, Brescia, Italy CNN, MRI, CSF
Patrizia Chiesa ICM rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Andreina Chietera Thales Research; DeepLearning, Alzhaimer, Dementia
deng chijun University of Electronic Science and Technology of China fmri
Junichi Chikazoe National Institute for Physiological Sciences fmri
Geetha Soujanya Chilla A*STAR Segmentation
Sri sruthi Chilukuri San Jose state university Disease, outbreak, analysis , solution
Andrea Chincarini INFN longitudinal studies, MCI, network, atrophy measurements
Vernon Chinchilli Penn State College of Medicine GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS,
eric ching shenzhen university deep learning, AD classification
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
Bernard Chiu City University of Hong Kong MRI-based cognitive biomarker
Youngjoo Cho The University of Texas at El Paso Survival analysis, Prediction models
HyungJin Cho University of Southern California Alzheimer's Disease Neuroimaging Initiative (ADNI)
Dong Ho Cho Korea Advanced Institute of Science and Technology (KAIST) Machine Learning, Biomarker, Classification, Diagnostic
SangYeon Cho Medical school, Chungnam national university DEMENTIA
Young Min Choe Dongtan Sacred Heart Hospital Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
Mark Choe NCIRE Imaging, Processing
Eun Kyung Choe Seoul National University Hospital adni7677
Yoon Seong Choi Severance Hospital, Yonsei University College of Medicine Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET
Seo-Eun Choi University of Washington Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
duck ho choi Sung Kyun Kwan Univ. Alzheimer
Eun Young Choi Stanford University thalamus, rsfMRI
Junsik CHOI Korea Univ. Deep learning
Kyu Sung Choi Korea Advanced Institute of Science and Technology (KAIST) follow-up
Woo Hee Choi College of Medicine, The Catholic University of Korea striatum, amyloid PET, tau PET
James Choi Sabio Research Alzheimer Machine Learning Neural Networks
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
hyujin choi korea university hyunjin
Yong-Ho Choi hanyang university Imaging genetics
Yu Yong Choi Chosun University Hospital ethnic differences, normal aging
Anthipa Chokesuwattanaskul King Chulalongkorn Memorial Hospital Alzheimer's disease, mild cognitive impairment
gabriel chong National Taiwan University image processing
chee keong chong University Teknologi Petronas CNN, deep learning, classification,
Jill Chotiyanonta AnatomyWorks, LLC Brain MRI, Neuroanatomy, Segmentation
Harsh Choubey Galgotias University Detection of alzheimer's disease, MR Images, Brain
Amit Choudhari Tata Memorial Hospital dti
Tabina Choudhury Texas A&M University Alzheimer’s disease, brain, biomarkers, cognition, dementia, item response theor
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
dharmesh chourasiya local constitutional neural network , machine learning
Ioanna Chouvarda VTT network analysis, causality
Heiman Chow HKUST Glucose, AD, Risk
Samadrita Chowdhury University of Massachusetts,Lowell Graphs, CNN, PET, FMRI
Lucille Chrétien ENS de Lyon diabetes
Luke Christenson Mayo Clinic Data, MRI, PET
FOTEINI CHRISTIDI ADVANTIS MEDICAL IMAGING multimodal neuroimaging; ageing; dementia; neurodegeneration
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
Nan Chu National Central University/CWLab International brain image data bank, AI analytics, neurotechnology
Chu Yang Chu China Jiliang University Research, learning
Russ Chua Institute for Infocomm Research computer vision
michelle chua Melbourne Heath alzheimers
jayrajsinh chudasama Birla Vishvakarma Mahavidyalaya dataset mri image with label
Evgeny Chumin Indiana University-Bloomington connectivity, tau, graph theory.
Timothy Chun Veteran's Affairs Machine Learning
Chang Chun Yang National Cheng Kung University Amyloid PET
Chang Chun Yang National Cheng Kung University Alzheimer , Amyloid PET
Yunro Chung Arizona State University Biostatistics; biomarker
Ming-Hua Chung Radiologics resting state fMRI DICOM
se-yeon chung chosun university Alzheimer
Jaeyoon Chung Boston University School of Medicine GWAS CSVD stroke ICH
Hyun Jy Chung Stony Brook University FWER
shi chunlei Beijing Normal University Machine Learing,Hidden information
jiang chunyu NEU jcyypbed627!
Andrea Ciarmiello Medicina Nucleare - S. Andrea Hospital Mci trajectory, Deep learning, onset prediction
Alessandro Cicerale Università degli Studi di Torino Hippocampus, ml
Filippo Cieri Cleveland Clinic resting state; entropy; mci; cognitive reserve.
Ignacio CIfre URL fRMI, dFC, FC
Emilio Cipriano IRCCS Fondazione Stella Maris Camiceriamary
Rastko Ciric Stanford University quality control, CNN
Tod Clapp Colorado State University UCHealth IRB
David Clark Indiana University Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency
Jamie Clarke University of Miami CSF biomarkers, Alzheimer's disease, NPS, NCI
David Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Alba Clemente Univarsity of Zaragoza bioinformatics, computer vision
TAMEKA CLEMONS GEORGIA STATE UNIVERSITY amylin, uncoupling proteins, insulin-degrading enzyme
Albert Clèrigues Universitat de Girona atrophy, pbvc
David Clunie PixelMed Publishing and RadPharm, Inc DICOM compression
Bernard Cobbinah University of Electronics Science and Technology of China Convolutional Neural Networks
Yann Cobigo Unversity of California San Francisco Dementia, Normal Aging
Leandro Coelho Pontifical Catholic University of Parana machine learning, fMRI, deep learning.
Mirthe Coenen UMC Utrecht, The Netherlands white matter hyperintensity, memory clinic patients, lesion symptom mapping
Hugo Cogo-Moreira Universidade Federal de Sao Paulo Dynamic structural Equation modeling, latent variable, multilevel analysis
Petrice Cogswell Mayo Clinic MRI, aging
Carl Cohen SUNY Downstate Medical Center Alzheimer's disease; cognition, course trajectory
Brett Cohen King's College London MCI, MRI, phantom
liz cohen Tel-Aviv university GAN
James Cole Imperial College London Aging, Machine learning, T1, DTI
Diego Collazos-Huertas Universidad Nacional de Colombia sede Manizales Deep Learning, Convolutional Neural Networks, Data Representation
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
David Collier Eli Lilly and Company Ltd Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s
Ragnor Comerford University of Edinburgh deep learning; machine learning; Alzheimers Disease; Mild Cognitive Impairment
Robert Comley Abbvie inc PET, MRI
Zhen Cong Dalian University of Technology Image Translation
Lin Cong University of California, Riverside longitudinal analysis
Shan Cong Purdue University hippocampus, AD, MCI
wamg congcong anhuidaxue Visual medicine
yin congfeng Tsinghua University experiment, deep learning models
Andrew Conklin Origent Data Sciences Machine Learning, Classification and Regression Modeling
Emily Connelly UCSF drug repositioning, APOE
Lindsay Conner University of Central Florida Adult Development and Aging; Healthy Aging; functional connectivity; structural
Joanne Conover University of Connecticut Aging, Alzheimer's disease, MRI, FLAIR-MRI
Shanna Cooper UCSD tau, NPS, cognition
Shanna Cooper VA San Diego / UC San Diego NPI, family history
Michael Coopman University of Texas at Arlington Medical image registration, Image segmentation, Voxelmorph, Deep learning
Aldo Cordova Palomera Takeda Neuroimaging, Genetics, Neurodegeneration
fabian Corlier University of Southern California systemic inflammation, covariance structure analysis, brain structural integrity
Ronal Coronado Biomedical Imaging Center, Pontificia Universidad Catolica de Chile Gridding artifacts
Nicole Corso Stanford University default mode networks, networks, imaging
Constanza Cortes University of Alabama at Birmingham exercise, skeletal muscle, CNS aging, Alzheimer's Disease
Ana Sofia Costa University Hospital RWTH Aachen amyloid deposition, microangiopathy, microbleeds, phenotype, progression
Gabriele Costante University of Perugia RNN AD PET
Victor Costumero Universitat de València mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard CNS-Fed Neuropsychology, Aging, Eye movements, Vision
Gillian Coughlan Baycrest Biomarkers, Alzheimer's disease, resting-state fMRI
David Coughlin University of Pennsylvania AV1451, Dementia with Lewy Bodies, Alzheimer's Disease
Pierrick Coupé LaBRI morphometry, hippocampus
Pierrick Coupé LaBRI UMR 5800 hippocampus
Matthieu Coupet XLIM Deep learning MRI
Elizabeth Couser University of Maryland, Baltimore imaging, Alzheimer's
Oliver Cousins King's College London TREM2 CD33 genetic Alzheimer's risk factors.
Baptiste Couvy-Duchesne Institute of Molecular Bioscience Advanced brain aging, prediction, structural MRI
Mackenize Cox UNCW mri, alzheimers, machine learning
Kevin Coyle Florida State Univeristy Machine Learning Biomarker Nueral Network Early Identification Infomation.
Breanna Crane Vanderbilt University Atrophy, Connectivity, MCI
Byron Creese King's College London polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
Carlos Crespo Methinks Software Deep learning
Ivor Cribben University of Alberta Networks; Longitudinal networks; Resting state
Alessandro Crimi University of Zurich radiogenomics
Carlos Cruchaga Washington University School of Medicine CSF, plasma, RBM, GWAS, whole-genome
Erica Cruz Old Dominion University Machine Learning, Deep Learning, Alzheimers Disease
Hugo Cruz-Suárez Benemérita Universidad Autónoma de Puebla Big Data, Hidden Markov Models, Stochastic optimization
Math Cuajungco California State University Fullerton Neuroscience
Pedro Cuenca Universidad Rey Juan Carlos alzheimer, nlp, speech analysis, deep learning, transfer learning, cross-domain
Menglong Cui Yunnan University medical images,diagnostic documents
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
Dong cui 1978 cd_ggh100200
Jing Cui GSK endophenotype GWAS, subtype AD
kunpeng cui ZhengzhouUnivercity medical image registration
JIANAN CUI Massachusetts General Hospital medical image processing
Licong Cui The University of Texas Health Science Center at Houston Informatics tool, ontology, hypothesis generation
Nicholas Cullen University of Pennsylvania NFL, CSF
Irene Cumplido Mayoral BarcelonaBeta Brain Research Center amyloid, machine learning, prediction, classification
Antônio Guilherme Cunha de Almeida Universidade Federal de Sergipe (UFS) artificial intelligence, MRI, semantic segmentation
Charles Cunningham University of Toronto 13C lactate ANLS
Miroslava Cuperlovic-Culf National Research Council, Canada machine learning; feature selection; genome scale model;
Sean Curtin IAM Alzheimers vs. Healthy Brain Research
Scott Curtis Newcastle University Machine Learning, Deep Learning, Undergraduate, Dissertation, Research
David Curtis UCL sequence variant DNA
Renjith CV JSPM RSCOE deep learning
W CW Chang'an University Image Processing Technology
Max Cynader University of British Columbia Alzheimer's Disease, machine learning, cognitive impairment risk
Lucette Cysique The University of New South Wales PET network analyses
ty d Shanghai Maritime University fMRI
Surya D NITC brain connectivity, Kuramoto model, EEG, DTI
Federico D'Agata University of Turin hippocampus; machine learning
Giovanni D'Ambrosio University of Guelph Impact, MRI,
Arthur da Silva Neumann Universidade Federal do Rio de Janeiro biomarkers, plasma, CSF
Sanaz Dabiri Howard University Alpha-synuclein, inflammation, tau, AD
Zhang dachuan FUDAN UNIVERSITY study
Michael Dada Federal University of Technology, Minna, Nigeria Machine learning, MRI, ANN
Mahsa Dadar McGill University small vessel disease, white matter hyperintensities
Kamalaker Dadi INRIA fMRI
Anant Dadu UIUC Machine Learning, Predictive Modeling, Alzheimer's Disease, Progression
Jeffrey Dage Eli Lilly and Company Biomarkers
Dale Dagenbach Wake Forest University functional connectivity, hubs, AD
Joseph Dagher The MITRE Corporation T1w, MRI, identification, biometrics
yousra dahdouh fst image medical,biomarquer
Robert Dahnke University Aarhus gyrification
Heng Dai Shenzhen Institutes of Advanced Technology methylation, illumina microarray, AD pathway
Shaopeng Dai ICT AD, diagnosis, machine learning
Xiongtao Dai Iowa State University Functional data, longitudinal data, manifold data
Zhengjia Dai Sun Yat-sen University Alzheimer's disease; functional connectivity; model
Chengliang Dai Imperial College London Deep learning, Structural MRI
jiyulei dai university of warwick AD, CNN, modelling, classification
Zongyu Dai University of Pennsylvania Missing data imputation
Peng Dai Ryerson University deep learning, LSTM, explainable AI
Zhengjia Dai Sun Yat-sen University Alzheimer's disease; functional connectivity; structural connectivity
Ryo Dairiki Eisai Co., Ltd. MCI-to-AD-conversion
Mohammed Dakna University medical center Gö statistical analysis
Josue Luiz Dalboni da Rocha Univeristy of Geneva DTI, freesurfer, parahippocampal gyrus, AD, MCI
Adrian Dalca Massachusetts Institute of Technology medical image analysis, genetics, DREAM challenge
RODRIGO DALVIT UNIVERSITY OF WESTERN ONTARIO MACHINE LEARNING, IMAGE PROCESSING
Pablo Damasceno UCSF neurodegeneration; brain atrophy; neuropathology
stefano damiani The Royal Hospital Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Jessica Damoiseaux Wayne State University functional connectivity, hippocampus, cognition
Sarthak Dandriyal Graphic Era deemed to be University Machine Learning, Alzheimer's disease dia
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Ebenezer Daniel City of Hope MRI
Dominic Danks University College London SuStaIn disease progression modelling subtype stage inference neurodegenerative
Christian Dansereau Perceiv Research, Inc. Biomarker, progressors prediction, cognitive decline
Hákon Dansson Chalmers University of Technology AI, Machine learning, β-amyloid, plaques
Rayees Dar Islamic University of Science and Technology CNN, Deep Learning, Artificial Intelligence, Medical Imaging
GOWHAR DAR LOVELY PROFESSIONAL UNIVERSITY PUNJAB CNN,DEEP LEARNING,AUTOMATED
Sumanth Dara University of California Riversid MRI, Substantia Nigra, Locus Coeruleus, Machine Learning
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
Oscar Darias Plasencia Universidad Internacional de La Rioja Alzheimer, machine learning, artificial intelligence
Caroline Dartora PUCRS Brain Connectivity, Alzheimer's Disease, MRI, PET
eashita das Dr. Eashita Das data mining, analysis
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Priya Das Kalinga Institute of Industrial Technology biomarker, machine learning, MRI, AD
Ayantika Das HTIC,IITM Classification of brain MRI
Priya Das Kalinga Institute of Industrial Technology biomarker, machine learning, MRI, AD
Sandhitsu Das University of Pennsylvania hippocampus MCI
Aishee Dasgupta Chennai mathematical Institute TDA
Ashkan Dashtban University College London Brain Imaging, Cognitive Impairment
Rohan Datta Army Institute of Technology deep learning, fMRI, CNN
Deana Davalos Colorado State University TBI, biomarkers, dementia, pathological aging
Christos Davatzikos University of Pennsylvania classification, MCI, conversion to AD
Amy Davila Imperial College London python machine learning
Cintia Davila Rodriguez Illinois Institute of Technology deep learning classification
Andrew Davis University of Bath clinical progression
Ragavamsi Davuluri Gudlavalleru Engineering College Alzheimer
Neil Dawson 1974 Biomarkers, Neuro degenerative Diseases,Cellular Death
Eran Dayan University of North Carolina at Chapel Hill resting state, connectivity, machine learning
Arijit De Jadavpur University classification; prediction; alzheimer's
Bianca De Blasi Ixico Medical imaging analysis, Biomarkers
Renske de Boer Quantib B.V. evaluation, segmentation
Marleen de Bruijne Erasmus Medical Center image analysis
Manlio De Domenico Universitat Rovira i Virgili Multilayer networks
Robin de Flores University of Pennsylvania MTL tau atrophy AD
Johann de Jong UCB patient stratification, disease progression
Siemon de Lange University Medical Center Utrecht connectome, structural connectivity, Alzheimer, MCI
Alberto De Luca UMC Utrecht diffusion MRI, connectivity
Ashley De Luna University of California, Merced classification, neural networks
Matteo De Marco University of Sheffield Alzheimer's disease, mild cognitive impairment, resting state
Fernando de Natali Frascá Universidade Federal de São Carlos - UFSCar segmentation, medical images
Lorenzo De Rosa universita di Siena PBVC/y_MCI_AD_MS
Micol de Ruvo Philyra UG Parkinson's, olfaction, machine learning
Eric de Silva University College London polygenic risk scores; cardiovascular disease
Maria Stefania De Simone IRCCS Santa Lucia Foundation Mild cognitive impairment; Memory; Voxel-based morphometry; Longitudinal study
Edson de Sousa Silva IESB Machine Learning Biomarkers Artificial Intelligence Deep Learning
Eduardo Felipe de Souza UFAL deep learning, medical imaging
Wieske de Swart Radboud University Nijmegen Alzheimer's disease, deep learning, multi-modality, incomplete data
Javier De Velasco Oriol Instituto Tecnologico y De Estudios Superiores de Monterrey Machine Learning, Deep learning, Genomics
Rashid Deane University of Rochester Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
Alison Deatsch University of Wisconsin - Madison FDG PET, deep learning, CNN, diagnosis, biomarker
Charles DeCarli University of California at Davis MRI, cerebrovascular disease
Summer Decker University of South Florida Morsani College of Medicine morphometrics
Berina Dedovic Faculty of Electrical Engineering University of Sarajevo dataset; alzheimer; eeg
Brittany DeFeis University of Florida MCI, intervention, functional outcomes, clinical outcomes
Ana Defendini University of Pennsylvania Imaging
samuella degbey Altran image processing brain pathology
Dante Degl'Innocenti Datamantix AD, MCI
Hamed Dehghani Neuroimaging and Analysis Group (NIAG) machin learning, agnig, cognitive impairement
PRIYANUJ DEHINGIA ASSAM ENGINEERING COLLEGE Alzheimer's, Deep Learning
NILAM DEKA ASSAM ENGINEERING COLLEGE ALZHEIMERS DATASET
Martina Del Giovane Imperial College London dMRI, dementia, neuropsychiatric, neurodegeneration
Zoe Delaney The University of Sydney Machine Learning
José Micael Delgado Barbosa International Institute of Neuroscience Brain, Blob Analysis, Active Contour based
Andrea Dell Orco Charite Berlin wmh
Stefano Delli Pizzi Univesity of Chieti-Pescara Alzheimer's Disease, Biomarkers
zeynep demir University of California San Francisco ADNI
Beatrice Demiray Technical University Munich, Germany Deep Learning; Neural Networks; Detection; Segmentation; Multi-Modal
ZhengZheng Deng Shanghai Brain Science and Brain-Inspired Intellegence data-mining, big data, Alzheimer's disease
Shiling Deng Chongqing University of Posts and Telecommunications undergraduate thesis, academic usage
Yutong Deng ShenZhen University ASL;MRI
Simin Deng Tungwah Hospital of Sun Yat-Sen University Subjective cognitive decline
Yatsen Deng Harbin Institute of Technology AD hippocampus morphological changes
ANNAN DENG East China Normal University Classification; elastic net; functional logistic regression; Haar wavelets; PCA;
lingling deng CSU AD
Rezwan Derakshan urmia university data mining
Thomas DeRamus GSU TReNDs Center Brainhack
Natan Derek Southern Taiwan University of Science and Technology FMRI, DEEP LEARNING
amine derra hassiba ben bouli AI
Dakota Derry University of Florida Telomere length; cognitive function
Amit Desai Mayo Clinic Dementia, atrophy, cinematic rendering
Juhi Desai In-Med Prognostics Segmentation
Hemal Desai St. Xaviers Alzheimer
pranav desai scet machine learning
Vijayalakshmi Desai Dayananda Sagar Academy of technology and Management Alzheim disease, Capsule networks, Artificial neural networks, Convolution layer
Shekha Desai Vishwakarma Government engineering college Early detection of AD, ML approach for AD diagnosis
Heather Desaire University of Kansas MCI, AD, healthy control, classification
Marie Deserno University of Amsterdam autism, neurodegenerative disorders
Yash Deshmukh University Of Keele research proposal only
Akshay Deshpande University of Queensland machine learning, artificial intelligence, healthcare
Antoine Désilets Université de Sherbrooke GPR3, GPCR
Anita DeStefano Boston University Alzheimer, genetics, association
Kacie Deters Stanford University genetics, imaging, cognitive decline
Vivek Devadas Banner Alzheimer's Institute Kewei Chen
Viswanath Devanarayan Abbott Labs biomarkers, disease prognosis, disease progression, multivariate analysis
Virginia Devi-Chou Robert Wood Johnson Medical School Neurodegeneration, Alzheimer's Disease, Biomarkers, Progression
Alyssa DeVito Louisiana State University Multi-state modeling, APOE, cognitive decline
Denise Dewald University Hospitals Cleveland Medical Center sleep apnea, soft palate, tongue position
Blake Dewey Johns Hopkins University mri, ct, synthesis
Debojyoti Dey Personal ML based explorations
Devendra Dhami Indiana University Alzheimer,MRI,prediction
Saumil Dhankar Independent voluntary research for IEEE BDBC 2020 challenge Diagnosis, Symptoms, Assessment, Cognitive, Demographics, Imaging, MR
Shravan Dhar UVCE Alzheimer
Moyez Dharsee Ontario Cancer Biomarker Network integration, analysis
eric dhillon univ of toronto MRI volumetric analysis regional cortical white matter
Hao Di XJTU Result repeat
Xin Di University of medicine and dentistry of new jersey connectivity, pet
Francesco Di Lorenzo University of Sussex AD, functional conncectivity, ApoE, computational model, disease progression
Cristina Di Primio Scuola Normale Superiore MCI, AD, biomarkers
Maria de Fátima Dias University of Coimbra Ageing, Deep Learning, Regression
Mauricio Diaz Inria AD, Deep Learning
ali diba KU Leuven deep neural net, CNN, classification
Stefano Diciotti University of Bologna texture analysis, fractal analisys, machine leaning, MRI
Bradford Dickerson Massachusetts General Hospital MRI, PET, cortical thickness, MCI, AD
Philip Dickinson McGill University resting state, connectome wide association
Ellen Dicks VU University Medical Center brain connectivity, cognitive decline, graph theory, single subject
Sandeep Vara Sankar Diddi GITAM (Deemed to be university) Segmentation, Alzheimer's disease
Kersten Diers German Center for Neurodegenerative Diseases quality control; statistical modeling
Louis Dieumegarde IUSMQ Database
Ibai Diez Massachusetts General Hospital AD, fmri, DTI, PET
Yago Diez Donoso Yamagata University image registration, research
Andrew DiLernia University of Minnesota clustering, functional connectivity
Georgios Marios Dimakidis Ionian University Bioinformatics, Data Analytics, AD
Ke Ding 东华大学 Biospecimens、MRI、PET、Genetic
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Changchang Ding Shanghai University PET;FMRI
Yuan Ding New York University For Course Project
Xiuhua Ding University of Kentucky group based trajecotry model , dementia, sleep apnea
wenxiang ding Shanghai Jiaotong university Alzheimer’s Disease, image analysis
Eduardo Diniz University of Pittsburgh image-to-image translation; deep learning; mr image synthesis
Ivo Dinov UCLA Alzheimer's disease, statistics, shape
Nicola Dinsdale University of Oxford hippocampus machine learning
Tyler Diorio Purdue University white matter hyperintensity, periventricular, stress
Tiphaine Diot Ecole de Technologie Superieure Course project, CNN
sai smruthi diwakar SASTRA UNIVERSITY Final year project on prediction of alzheimer's
anoop dixit Collective Cure Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec
Iwona Dobler Takeda Pharmaceuticals International Co. biomarker
Vitaly Dobromyslin University of Massachussetts, Lowell gene expression, neuroimaging
Shubham Dodia National Institute of Technology Karnataka Alzheimer, BCI, EEG, Machine learning, Deep learning
Alessandra Dodich University of Geneva 18F-flortaucipir, positivity, tau deposition
Jusheb Doe Daffodil International University Subject-818
James Doecke CSIRO CSF, Amyloid, PET
Elena Doering University Hospital Cologne education, metabolic activity, aging
Merve Yusra Dogan Istanbul Medipol University functional connectivity, neuropsychological test, fMRI, big data
Berk Dogan ETH Zurich deep learning, latent space analysis
Prashant Dogra Houston Methodist Research Institute Alzheimer, biomarker, modeling
Oriol Dols-Icardo Sant Pau biomedical research institute Genomics, MRI
Sudipto Dolui University of Pennsylvania Arterial Spin Labeling, Cerebral Blood Flow
James Donaghue California Polytechnic artificial neural network
Frank Dondelinger Lancaster University lasso, prediction
shuai dong Northeastern University MRI depression
jaejune Dong Yonsei University prediction, neurodegenerative disease,
YIWEN DONG UCSF building database
Fan Dong Indoc Research data platform, imaging processing, neuroinformatics
Jian Dong Harvard Medical School PET, molecular imaging, amyloid, tau, machine learning, neural network.
Pei Dong University of North Carolina at Chapel Hill imaging biomarkers, groupwise image registration, efficient computation
Qunxi Dong Arizona State University Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry
JANG DONGGON KAIST Deeplearning
zhu dongming 云南大学 machine learning, prediction of AD
Anita Donnelly Ulster university Machine Learning, Data Modelling
Michael Donohue Keck School of Medicine of USC ADCS
Nandika Donthi UC Berkeley neural nets, identification
elahe dorani Institute for Advanced Studies in Basic Sciences (IASBS) Probabilistic models, Bayesian inference, Alzheimer's disease, ADNI dataset
Jonadab Dos Santos Silva Universidade Federal Fluminense amyloid angiopathy, subcortical nuclei, dementia
Ayush Doshi University of Virginia Spherical deconvolution, 3-tissue extraction, Deep learning
Ray Dou Nankai Hospital study mri
Gaelle Doucet Icahn School of Medicine At Mount Sinai resting-state networks, brain atlas, aging
N. Maritza Dowling University of Wisconsin-Madison Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Senan Doyle Pixyl PET, MRI, AI, Deep Learning
Andrew Doyle McGill University deep learning
Nicolas Doyon Laval University Aging, clustering algorithms
Sorin Draghici Advaita meta-analysis, data integration, subtype discovery
Andrei Dragomir Politehnica Bucharest University Ask and I can provide further details
Jonathan Drake Alpert Medicial School of Brown University VCAM-1, vascular risk factors
Derek Drake Harvard University AD
Amil Dravid Northwestern University Machine Learning, Computer Vision
Erin Drazich University of Sussex DTI, MCI, AD
Andrew Drozdov University of Massachusetts Amherst alzheimer's
Jason Druzgal University of Virginia Basal forebrain; cognitive impairment; VBM
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Weiyu Du University of Pennsylvania sparse principal component analysis
Chao Du National Key laboratory of Cognitive Neuroscience and Learning, Beijing Normal U Cognition
Jiao Du Guangzhou univerisity fusion
Yuhang DU He Bei University fmri
Qianqian Du Taiyuan University of Technology pet image reconstruction
Yuhui Du The Mind Research Network; Shanxi University Biomarkers, Classification, Clustering
mingyu du Beihang University 912811450
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Kaue Duarte University of Campinas alzheimers, artificial intelligence, image retrieval
Paromita Dubey UC Davis networks
florian dubost Erasmus MC enlarged perivascular spaces, deep learning, neural networks
Simon Duchesne Université Laval Morphometry, MRI, multidimensional analysis
Simon Duchesne True Positive Medical Devices Inc. Biomarkers; Volumetry; Normative data
Kevin Duff University of Utah biological samples
Ben Duffy USC QC
Maya Duffy University of South Carolina Project, Statistics
Brittany Dugger UC-Davis Neuropathology, Heterogeneity, concomitant pathology
Juergen Dukart Hoffmann-La Roche PET MRI biomarkers diagnostic models
carlos Dulanto universidad cesar vallejo neural nerwork
Maciej Dulewicz Medical University of Białystok, Poland AD
Mihai Dumitrescu University Politehnica of Bucharest Homework
Matthieu Dumont Imeka DWI DTI HARDI Tracking
Julien Dumurgier Université de Paris CSF biomarkers ; cut-offs
Julien Dumurgier Lariboisiere Fernand Widal Hospital APOE, AD, CSF biomarkers
Mehmet Sait Dündar Abdullah Gul University deep learning, MRI, PET, dementia, alzheimer disease
Michelle Dunk University of Wisconsin - Milwaukee Cholesterol, APOE, amyloid-beta, tau, oxysterols, Alzheimer's disease
Tom Dupree Springboard Machine learning, data analysis, predictive classification model
Goktekin Durusoy Bogazici University Graph analysis, tensor decompositions,Connectome
ARIDEEP DUTTA Jabalpur Engineering College AD-alzheimer's diseases
Anirban Dutta University at Buffalo SUNY Non-invasive brain stimulation
Chiranjit Dutta University of Connecticut Longitudinal data analysis
Joyita Dutta UMass Lowell / MGH Data science, machine learning
Shamita Dutta gupta Pace U Ordinal logit model, general linear model
Jonathan Dyke Weill Cornell Medicine cortical thickness
Martin Dyrba German Center for Neurodegenerative Diseases (DZNE) probabilistic models, multimodal analysis, machine learning, Markov random field
Witold Dyrka Wroclaw University of Science and Technology MRI, PET, computer-aided analysis, image segmentation, neural network, python
Jennifer Eastman Northwestern University MCI
Mark Ebbert Mayo Clinic Challenging regions
Amir Ebrahimighahnavieh University of Newcastle Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Roderic Eckenhoff University of Pennsylvania PET Tau, PET amyloid, surgery, biomarkers
Christopher Edgar Cogstate cognition, at-home, feasibility, validity, reliability
Paul Edison Imperial College London tau amyloid cardiovascular risk
Emily Edmonds University of California, San Diego Mild cognitive impairment; Neuropsychology
Mackenzie Edmondson University of Pennsylvania neuroimaging, biostatistics
ANTOINE D EDOUARD Harvard University MCY&ALzheimer
Amr Eed Instituto de neurociencias de alicante Machine Learning, multi-shell models
Efe Dogukan Efeoglu Middle East Technical University mathematical statistics, image processing, neuroscience
Leslie Egbo UCSF ADNI 3 RA access
Marco Egle University of Cambridge Small vessel disease Diffusion tensor imaging clinical trials
Graham Eglit San Diego VA Biomarkers, Tau, CSF, PET
Willem Eikelboom Erasmus MC Rotterdam Neuropsychiatric symptoms, Alzheime's disease
Eyþór Einarsson Haskoli Islands Deep Learning, Brain Age, Machine Learning, MRI
Noushin Ejtehadi Iran University of Science and Technology DTI
Laura Ekblad Amsterdam UMC CSF, proteomics, atrophy, cortical thickness, MCI, Alzheimer
Chima Eke University of Plymouth Biomarkers, data analysis, machine learning, deep learning
ferhat ekin ankara yıldırım beyazıt university stalker
Tawatchai Ekjeen Faculty of Medical Technology Maching Learning, PET, Alzheimer's Disease
Anders Eklund Linköping university Deep learning, multi modality, fMRI, dMRI, convolutional neural network
Nsisong Ekong RITMAN UNIVERSITY, IKOT EKPENE, AKWA IBOM STATE ALZHEIMER'S DISEASE, CLINICAL TRIALS, STOCHASTIC ANALYSIS
Ender Eksioglu Istanbul Technical University MR reconstruction, undersampled k-space data, sparsity based MR reconstruction
Karen El Akoury Holy spirit university of kaslik Alzheimer,EEG,Music Treatment
Shaker El-Sappagh Inha University Deep learning, machine learning, progression detection
Ahmed Elabasy Oulu university machine learning
fanny elahi UCSF Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
vidhya elango periyar university cryptography
Ahmed Elazab Shenzhen University AD, biomarkers
Ghaidaa Eldeeb faculty of engineering cairo univeristy DTI
elfazziki elfazziki Marrakech university, computer science department alzheimer, diagnosis, machine learning
Ahmed ElGazzar Academic Medical Center Amsterdam Deep learning, Clustering, Anomaly detection, Unsupervised learning, Psychaitry
Tusneem elhassan University of technology Malaysia (UTM) Alzaheimer
Ahmed Elkorany faculty of electronic engineering, menoufia university deeplinearning; classification, MRI
Nandhini Ellappan MGR University Dashboard
Lotta Ellingsen University of Iceland segmentation, deep learning, brainstem, white matter hyperintensities, dementia
Maxwell Elliott Duke University Aging, methylation, ADRD, neurodegeneration
Natalie Ellison Pentara Corporation Composites Genetics
Intissar Elmajid Ibn Zohr University Deep learning, CAD, Multimodality, AD recognition, Segmentation
Jeremy Elman UCSD Pupillometry, aging, dementia
ahmed elsayad Mansoura University big data, big data analysis , big data processing
Zeinab Elsharkawy Atomic Energy Authority Deep learning; image analysis; classification
alaa elshazli Staffordshire university brain images, image processing
Nada Elsokkary Khalifa University of Science and Technology AD diagnosis, deep learning, textural analysis
Behnaz Emami Iaun 09368934595
Maryam Emamidoost Ryerson University Alzheimer's Disease, segmentations, MRI
Eman Eman TU Kaiserslautern prediction, machine learning
Jurriën Embrechts amc machine learning
Polina Emeliyanova The University of Manchester White matter, grey matter
Okyaz Eminaga Stanford University DL, Classifcaiton
Busra Emir Izmir Katip Celebi University Machine Learning Algorithms
HIRONOBU ENDO Johns Hopkins University MRI cloud
Bradley English Fraunhofer Institute Early-warning
Joel Eppig SDSU/UCSD Joint Doctoral Program in Clinical Psychology MCI, Latent Variable Modeling
Noam Epstein University of Illinois at Chicago Pharmacoepidemiology
Fusun Er Yeditepe University Alzheimer's Image Processing
Basri erdogan Bogazici University Alzheimer's disease, deep learning, cnn
Mahdiyeh Erfanian Ferdowsi University of Mashhad statistics. SPC, profile monitoring
Bradley Erickson Mayo Clinic imaging biomarkers
Elena Erosheva University of Washington Longitudinal, hierarchical, mixed effects
Sara Esam Institute of Statistical Studies and research Alzheimer’s Disease
Sara Esam Institute of Statistical Studies and research Alzheimer’s Disease
Claus Escher University Hospital Cologne Semantic Networks, Category Fluency Test
Javier Escudero University of Edinburgh Machine learning, Decision support, biomarkers
Simon Eskildsen Aalborg University cortical thickness, brain mapping, segmentation
Taban Eslami Western Michigan University Alzheimer's, classification, Machine Learning
Sahar Esmaeeli Abbvie Alzheimer, imaging, Genetics
Marzieh Esmaeili TUMS deep learning, GAN
Soheil Esmaeilzadeh Stanford University deep learning course, Stanford university, class project
Erika Espindola Centro Universitário IESB Data Analysis; Alzheimer; Prediction; Artificial Intelligence
Ana Espinosa Fundació ACE Cognition,
Mohamed Essam HTI ADNI
Mar Estarellas Garcia University College London Alzheimer, data-driven model, lifestyle
Kobra Etminani halmstad university Skull stripping ,prognosis of AD and Dementia
Choi Eunjeong Ewha Womans University deep learning, medical image, GAN
Guilherme Evangelista Centro Universitario Uni BH Utilização do aprendizado de maquina para diagnosticar, tratar e previnir o alzh
Dave Evenden Southampton Universiry Dementia, Disease Modelling, Healthcare Planning
Katrina Evtimova NYU neuroimaging analysis
Michael Ewers LMU amyloid, genetics
Peter Eze University of Melbourne Medical Image Steganography, MRI, Security
Ali Ezzati Albert Einstein College of Medicine Volumetric, MRI, Amyloid, cognitive decline
JISNA F UNIVERSITY OF KERALA Convolutional Neural Network
NICY F THANGAL KUNJU COLLEGE OF ENGINEERING Alzheimer’s disease (AD) · Mild cognitive impairment (MCI) · Feature selection ·
Sa Faber Rotman Research Institute MCA
Nathalie Fadel Columbia University Mailman School of Public Health fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac
Ghadah Fadhl Sana'a university Alzhiemer’s disease (AD), Convolutional neural network (CNN) , Deep neural netwo
Shreyas Fadnavis Indiana University Bloomington DWI, Machine Learning
Shahriar Faghani Tehran university of Medical science MCI-CN-fMRI-Machine learning-Deep learning
Ali Fahim UT data mining
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
Ryan Fairchild University of Maine Tracking, atrophy
Muhammad Faisal King Fahd University Tadpole Challenge Data
Sylvain Faisan Icube Image processing, pattern recognition
sherin faizal Barathiar University Alzheimer’s disease, Artificial Neural Network, Computer aided diagnosis, Discr
Tiago Falk INRS AI, multimodal, signal processing
David Falta Harvard University Educational Use
qingchen fan Northwest University brain age Alzheimer’s disease deep learning
zhihao fan 华南理工大学 Thanks
CHENCHEN FAN Institute of Automation,Chinese Academy of Sciences machine learning
Xiang Fan The Chinese University of Hong Kong biomarker
Yong Fan University of Pennsylvania Pattern recognition; Machine Learning, Multi-site data
Yang Fan Peking University AD, ASL, CBF
Peihao Fan University of Pittsburgh Alzheimer's Disease; Machine learning; Biomarker;
bryan fan DICOM COMMITTE AD MRI analysis
weina fan Qufu Normal University research
Wenliang Fan Union Hospital, Huazhong University of Science and Technology Alzheimer’s disease; Longitudinal change; Evolving pattern; FC
Yonghui Fan Arizona State University ADNI2-GO MRI data
Kathy Fan Stanford visualization, CNN, interpretability
ZHEN FAN Imperial College London Longitudinal amyloid tau
Di Fan USC DTI
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
Feng Fang University of Houston Connectivity, fMRI, dTI, AD
Yan Fang Shanghai University of International Business and Economics 7Yiffany
Frank Fang Eisai Machine Learning
Yi Fang Zhejiang University Perivascular space
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
David Fardo University of Kentucky Pathway-wide association, AD
Gonzalo Farías Universidad de Chile synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Mohammadjavad Faridafshin Shiraz University image processing, AD, Classification, Machine Learning,
fayroz farouk electronics research inistitute APOE, multistate markov model
Danielle Farrar University of New Mexico MCI, fMRI, MRI, network analysis
Kurt Farrell Icahn School of Medicine at Mount Sinai Primary age-related tauopathy
Michelle Farrell Massachusetts General Hospital amyloid, cognitive decline, preclinical AD
John Farrell Boston University Medical School whole_genome_sequencing genetics imputation structural_variants
Lindsay Farrer Boston University School of Medecine gwas alzheimers meta-analysis adgc
Madeline Farron University of Michigan Medicine Neuroimaging, Alzheimer's Disease
maedeh fasihi ucf machine learning, classification, pattern recognition
Karma Fathalla Arab Academy for Science and Technology Dementia, Alzheimer, Machine learning, deep learning
Sina Fathi Iran university of medical sciences CDSS, Alzheimer's disease, deep learning
Alireza Fathian Tarbiat Modares University Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network,
Noel Faux IBM Research - Australia Biomarkers, prognosis, genomics, cognitive decline
Marcelo Febo University of Florida diffusion MRI, Alzheimers, amyloid
Ebrahim Feghhi University of California, Los Angeles Machine Learning
liu fei Tianjin University r-fmri functional connectivity network machine learning
Franklin Feingold Stanford University BIDS
Amirhossein Feizi Semnan University learning, research design, studying
Daniel Felsky Centre for Addiction and Mental Health microglia, polygenic risk, imaging, environmental modifiers
Grazia Daniela Femminella Imperial College London inflammation; atrophy; AD; MCI
Xinyang Feng Columbia University AD imaging biomarker
Brad Feng Capital Medidcal University Deep Learning; Alzheimer Disease
Zhichao Feng The Third Xiangya Hospital of Central South University fzc2018xyyx
Junbang Feng CQMU 821727fjb
Qingxiang Feng Tulane University deep learning, sparse
Lin Feng Shaoyang University Alzheimer’s Disease,Anatomical MRI,Classification,ROI
Jinwang Feng Northwestern Polytechnical University Alzheimer's disease, Feature extraction, Classification
Han Feng University of Texas Health Science Center at Houston Brain image
HONGBO FENG First Affiliated Hospital of Dalian Medical university aging
gu feng Chinese Academy of Sciences gufeng11
Yang Feng New York University Alzheimer’s disease, multiclass classification, prioritized error controls
Xue Feng University of Virginia Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers
Lin Fengyu drbrain train, deep learning model
Christine Fennema-Notestine UCSD MRI, thickness, morphometry, shape analysis, PET
Cameron Ferguson Cardiff University Network Psychometrics; Complex Systems; Modelling; Neuropsychology; Neurocogniti
Marco Fernandes University of Oxford metabolomics, machine learning, network analysis, psychiatric disorders
MIGUEL ANGEL Fernandez University of Cadiz PET, image, machine learning
Alberto Fernández Universidad Complutense de Madrid, Spain APOE4, Amyloidosis, cognitive performace
Álvaro Fernández Calleja Universidad Politecnica de Madrid Alzheimer, longitudinal analysis, MRI
Sara Fernandez Rodriguez-Cabello University of Salzburg aging, longitudinal, WMH, AD
Ricardo Ferrari Federal University of São Carlos 3D salient point, Deep Learning, Atlas of salient points
Clarissa Ferrari IRCCS stituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy AD, MCI, advanced statistical approach, machine learning
Antonio Ferraro Università Luigi Bocconi Neuro-Image, disease's progression prediction
Bianca Ferreira ISEP Alzheimer's Disease, FDG-PET, Neural Networks
Luiz Kobuti Ferreira University of São Paulo functional connectivity; resting state fMRI; aging
Hugo Ferreira Faculty of Sciences of the University of Lisbon Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Fabio Ferreira University College London Machine learning, CCA, brain imaging, dementia
Camille FERRERO CSIRO MRI images
Jennifer Fey (Erway) Wake Forest University machine learning, optimization, quasi-Newton methods
achraf feydi National institute of applied science and technology Machine learning , diagnose
Milan Fiala UCLA FDG scan, MRI, MMSE
Lucas Fidon King's College London medical image registration
Mark Fiecas University of Minnesota fMRI, connectivity, longitudinal
Manuel Fiel IDIS MRI. Nieman Pick
Cassidy Fiford University College London, Institute of Neurology white matter disease, vascular risk factors
Matteo Figini University College London resolution, machine learning, image quality transfer
Michal Figurski University of Pennsylvannia UPenn, Leslie Shaw
Laura Filippi IRCSS San Martino Hospital Amyloid uptake in AD
Massimo Filippi San Raffaele Scientific Institute, Vita-Salute San Raffaele University diagnosis; learning algorithm; 3D convolutions; multimodal MRI.
Elizabeth Finger University of Western Ontario NPI, MRI, PET
Florian Fischer Universtiy Medical Center Mainz Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Clara Fischer Neurospin, CEA brain atrophy
Madalina Fiterau University of Massachusetts Amherst Alzheimer’s disease; trajectory modeling; medical imaging; multimodal fusion; de
Lúcio Flávio de Jesus Silva State University of Maranhão Alzheimer, ANN, fMRI, Deep Learing
Christopher Fleetwood University Of East Anglia Alzheimers, Deep Learning, CNN, GCNN
Evan Fletcher UC Davis Cognitive Reserve, Psychometrics Workshop
Guadalupe Flores Islas Instituto Politécnico Nacional Alzheimer classification
Mateusz Florkow UMC Utrecht Virtual CT; Deep learning; Paired CT/MRI
Niels Focke University of Göttingen FDG-PET, Epilepsy
Morgan Fogarty Massachusetts General Hospital FreeSurfer
Nancy Foldi Queens College - City University of New York MTL, HIppocampus, serial position effect
Guilherme Fôlego Universidade Estadual de Campinas AD, ML
Dailen Folkedahl University of New England College of Osteopathic Medicine Detection of AD characteristics
Bernard Fongang UT Health San Antonio Dementia, Vascular dementia, Gene expression, MRI markers
Joana Fonseca FEUP ML
Fabian Humberto Fonseca Aponte Sapienza Università di Roma Adversarial learning, auto-context model, MRI, image synthesis
Alfred Fonteh Huntington Medical Research Institute Amyloid, tau, PET, metabolites, glutamate, lipids, omega-fatty acids
Matthew Ford University of North Carolina- Chapel Hill network science, fMRI, machine learning, classification, stochastic process
Cynthia Forgeron St. Francis Xavier University Dementia, Alzheimers, machine, learning
Myriam Fornage University of Texas Health Science Center at Houston Small Vessel Disease; brain MRI; white matter hyperintensity
Parisa Forouzannezhad Florida International university MCI, AD, Neuroimaging
Alex Förster Universitätsmedizin Mannheim AD, crossed cerebellar diaschisis
Adam Forys Roche ADNI, Roche, dashboards
Chris Foster UT Dallas | Center for Vital Longevity Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Panagiotis Fotiadis Massachusetts General Hospital atrophy; cerebral amyloid angiopathy; alzheimer's disease
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Gregory Founshtein The hebrew University and the Hadassah Ein Kerem medical center Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Michael Fox Harvard atrophy
Ernest Fraenkel MIT machine learning, AI
Pietro Francaviglia University of Genoa ArterialSpin Labeling
Linda Francis certsmarket Education, exam dumps, it exam.
Ambily Francis Karunya AD,CN,MCIc,MCInc
Fabio Frangiamore university of Milan Bicocca Alzheimer, CNN, deep learning
Jordan Fraser USC 1633549291
Mark Fraser Australian National University harmonized Hippocampal protocol, manual segmentation
Mark Frasier Michael J Fox Foundation CSF, biomarkers, neurodegeneration
Simona Fratus University of Brescia deep learning, neural network
Blaise Frederick McLean Hospital/Harvard Medical School resting state, perfusion,
André Freitas Universidade do Minho Neuroimaging, MRI, Brain
Jennifer French University of Maryland GWAS
Joshua French University of Colorado Denver principal components, isotropy
Leon French Centre for Addiction and Mental Health gene expression
Simon Frerich Karolinska Institute Subtyping
Yun Freudenberg-Hua Feinstein Institute of Medical Research AD genetics, loss-of-function variants
Brad Friedman Genentech, Inc. bioinformatics genetics
nadav friedmann cassavasciences decline over time
Christoph M. Friedrich University of Applied Science and Arts Dortmund SNP subset selection
Lars Frings University of Freiburg PET; Amyloid; FDG; Medial Temporal Lobe
Hans-Christian Fritz German Center for Neurodegenerative Disease basal forebrain, functional connectivity
Holger Fröhlich University of Bonn progression modeling
Bernard Fromson Birkbeck, University of London Machine learning, Computer Vision, Medical Diagnostics
Pan Fu Taizhou First People’s Hospital Alzheimer's disease, synaptic degeneration, clusterin
jeffson fu Chongqing University of Posts and Telecommunications image
Zening Fu Georgia State University Multi-diseases biomarkers, data-fusion, dynamic brain connectivity
Ray Fu BIT data analysis
Jiangpeng Fu HuaQiao University academic research
yanv fu The Affiliated Second Hospital of Zhejiang University of Medicine Alzheimer's disease
Jason Fu Guangxi University medical image registration
yu fu lanzhou university longitudinal brain changes; MCI;AD
Motonobu Fujishima National Center of Neurology and Psychiatry differential diagnosis; Alzheimer's disease; FDG-PET; MRI
Lawrence Fulton Texas State University machine learning
Brian Fulton-Howard Icahn School of Medicine at Mount Sinai PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS
Tsukasa Funane Hitachi, Ltd. AI, Machine learning
Ernest Fung Cogstate Alzheimer's disease, clinical trials, CNS drugs
Cory Funk Institute for Systems Biology Alzheimer RNA-seq WGS
Quentin Funk Houston Methodist Research Institute Tau, fMRI, graph theory, DTI
Ansgar Furst Stanford University Alzheimers, TBI, Veterans
Pedro Furtado Universidade de Coimbra medical imaging
NAGARJUNA G NBKRIST deep learning, Alzheimer's Disease
jayavel G anna university alzheimer desease
Janakasudha G Sri Venkateswara College of Engineering Alzheimer's Disease, Brain image analysis, machine learning and deep learning
Man Ga IMM 4327050Ho
Musa Gabere Mayo Magnetic Resonance Imaging, Positron emission tomography
Geoffroy Gagliardi Brigham and Women's Hospital Awareness, Biomarkers
Niharika Gajawelli USC fMRI, MRI, AD, MCI,
Douglas Galasko UC San Diego CSF biomarkers cognition
Paola Galdi University of Salerno networks, multi-modal data, classification
Elena Galea Institute of Neuroscience, University Autonoma of Barcelona proteomic data, CSF/plasma, astrocytic signature(s)
Charles Galea Monash Institute of Pharmaceutical Sciences machine learning, disease progression
Liisa Galea University of British Columbia APOE, Pregnancy, motherhood, hormone therapy, inflammation
Brahyan Galindo Mendez University of California, Berkeley Alzheimer's disease,
Kevin Galinsky Takeda NFL; cognition; TREM2; CD33
Charles Gallay EPFL Master These
Daniel Gallichan Cardiff University multi-contrast image visualisation
Paul Gallins NC State University data integration neuroimaging genetic
Carlos Galmarini TOPAZIUM Artificial intelligence, deep neuronal networks
Marian Galovic UCL longitudinal, epilepsy, progression
Dragan Gamberger Rudjer Boskovic Institute data clustering, subgroup discovery, intelligent data analysis
Hong Seng Gan Universiti Kuala Lumpur hippocampus Segmentation, Alzheimer's Disease, Random Walks
Christina Gancayco University of Virginia neural network, machine learning, deep learning
Amisha Gandhi Boston University final project, machine learning
amir hosein gandomi sahand university of technology traumatic brain injury, finite element method, 3d model
Michal Gandor Politechnika Krakowska machine learning research
Arya Ganesan Academies of Loudoun Tau, Alzheimer's Disease, Segmentation
Rithvik Ganesh Jasper High School AD, machine learning, diagnosis
li gang Northeasten university AD
AYUSHE GANGAL G.B. Pant Govt. Engineering College neural networks, deep learning
Mohit Gangwar Bhabha Engineering Research Institute, Bhopal, India Machine Learning
Sandeep Ganji Philips ASL
Reema Ganotra YMCA University of Science and Technology Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
zhengzhou gao beihang university gzzhv587
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
Lijuan Gao Affiliated ZhongDa Hospital, Southeast University APOE, DMN, MCI, conversion, AD
Kejiao Gao Northeastern university of china Transfer learning
Linlin Gao Ningbo University longitudinal MRI, convolutional neural network, recurrent neural network
yan gao Xi’an Jiaotong University multi-view classification
Yunhe Gao Rutgers University Segmentation CNN
Yurui Gao Vanderbilt University functional connectivity
Yuan Gao University of Oxford Yeye8330209
Yali Gao new york university risk factor
Yuyuan Gao Guangdong General Hospital Alzheimer’s disease; Biomarker; Blood; spinal fluid
Kun Gao UNC-chapel hill medical image classification, deep neural network
Yang Gao Central South University AD/GNN/Disease Analysis
Fuxun Gao University of Shanghai for Science and Technology Alzheimer’s disease; Computer-aided diagnosis
Xiao Gao University of California, San Francisco atrophy, cognition
Sara Garbarino Universite Cote d'Azure, Inria misfolded proteins, dynamical system models, disease progression models
Melanie Garcia Hypercube Institute Neuroimaging, Data analysis, multi-site effect
Kara Garcia Indiana University School of Medicine surface registration, longitudinal, cortex, shrinkage, biomechanics
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Miguel Garcia Boehringer-Ingelheim historical controls, placebo, disease modelling
Gracian Garcia Quiron PET; SPM; templates
Juan Manuel García Varilla MicroWebServices, SL alzheimer, early diagnose, machine learning, pattern detection, PET, imaging
Rafael Garcia-Dias KCL sMRI, Machine Learning
Jord Garcia-Ojalvo Universitat Pompeu Fabra Brain dynamics, relaxation dynamics, potential landscapes.
Gaurav Garg University of Ulster Modeling, EEG, fMRI, Alzheimer's, AD
NEHA GARG akgec ALZHEIMER
Ambika Garg Thapar Institute of Engineering and Technology Feature Extraction,PCA
sampurna garg thapar university 123456
Lalit Garia BT Kumaon Institute of Technology Dwarahat Alzheimer Disease
Monica Garibay OHSU connectivity, biomarkers,
Valentina Garibotto Geneva University Hospitals FDG PET, tau, Ab42, CSF
José Alejandro Garnica López Universidad de Monterrey Alzheimer, MCI, Machine Learning, T2 weighted images
Diego Garrido Centre for Genomic Regulation multivariate regression, GWAS, QTL mapping, Alzheimer's disease
Dimple Amitha Garuadapuri Eleanor Roosevelt High School Diagnosis, Alzheimer's disease, MRI, machine learning
Isabel Garza Lufkin High School Science Fair
Eduardo Garza-Villarreal Instituto Nacional de Psiquiatria diabetes, imaging genetics, neuroimaging
Christian Gaser Jena University Hospital brainage, vbm
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Davide Gaudesi University of Milano-Bicocca MRI, EDC, upload
Vincent Gaudet University of Waterloo iterative algorithms, belief propagation, stochastic computing
Pramod Gaur Ulster University, United kingdom MRI
Deepam Gautam philips research and investigation
Nishant Gautam JIIT CN LMCI AD
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Nathan Gaw Arizona State University multivariate analysis, hierarchical model, disease progression
Jodie Gawryluk University of Victoria white matter, MRI, DTI, cognition
XINTING GE University of Southern California AD, Image process
Shufei Ge Simon Fraser University Associations study, Group Lasso ,spatial correlation structures
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
changrong ge Karolinska Institutet biomarker
xinting ge LONI Neuroimage
stephan gebel Fraunhofer Institute for Algorithms and Scientific Computing SCAI Ontologies, Terminologies
Natasha Geddert University of Manitoba metabolism, glucose, alzheimer, PET
Hugo Geerts In Silico Biosciences Quantitative Systems Pharmacology
Ozan Genc Bogazici University Deep Learning, Convolutional Neural Network
lijun geng Northwestern Polytechnical University Longitudinal Prediction Deep Learning
Claudio Gentili University of Padova SVM, Depression, Cognitive functions
Claudene George, MD, RPh Albert Einstein College of Medicine ACE Inhibitors, Dementia
Richard Gerkin Arizona State University teaching
Dwight German University of Texas Southwestern Medical Center klotho, clusterin, ApoE, FGF23
Anda Gershon Neurocentria, Inc. AD, risk factors
Neil Getty ANL tbi, transfer-learning, medical-image-analysis
Corey Geurink 1973 exome, Alzheimer's, risk, allele
Olivier Gevaert Stanford University deep learning multi-scale modeling
gül gezer eskişehir osmangazi university CNN
n gh university of tehran dti
roya gh uni ghj
Ali Ghafouri The University of Texas at Austin Alzheimer
Hadi Ghahremannezhad New Jersey Institute of Technology Random Forest, Alzheimer's disease
Fawaz Ghali LJMU deep learning
Mohamed Ghalwash IBM Research progression; personalized
fatemeh ghanad PNU ALZHEIMER DISEASE, CLASSIFICATION
Behrooz Ghane University of Isfahan Deep Learning
Farnaz Gharedaghi Tabriz university PET/ MRI super resolution
Saoussen gharsallah ISIM Gabes WMH, Segmentation
Mehdi Ghasemi iran university of science and technology alzheimer's disease(AD)
Mahsa Ghorbani Technical University of Munich graph convolutional networks, node classification, prediction
Palash Ghosal NIT DURGAPUR ,INDIA Deep Learning,Machine Learning,Neurodegenerative disease
Soumya Ghose GE Global Research Deep learning
Sukanta Ghosh Jadavpur University Alzheimer's disease Soft Computing
Debjyoti Ghosh Visva-Bharati University Alzheimer
Robin Ghosh Jackson state university Image Analysis, CNN
Debjyoti Ghosh VISVA BHARATI UNIVERSITY Alzheimer, Disease, MRI
Luca Giancardo University of Texas Health Science Centerat Houston machine learning, longitudinal connectomes
Neha Gianchandani Manipal University Jaipur Deep Learning, Alzheimer
James Giang University of Agder Machine learning masterthesis
Laura Gibbons University of Washington Genetics, using ADNI data as a teaching example, Friday Harbor
Jesse Raphael Gibbs National Institute on Aging, NIH genetics neurodegeneration
Gary Gibson Weill Cornell Medical College conversion
camila gil U. militar Corazones.171
Sascha Gill University of Calgary Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging,
Daniel Gillen UC Irvine phase II, power, enrichment, tau, abeta
Peter Gillespie University of Ulster data science, classification, dissertation
Joseph Giorgio University of Cambridge Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Tania Giovannetti Temple University functional abilities, informant
Muhammad Girach Nottingham Trent University MRI, Convolutional Neural Networks, Keras, Deep Learníng
Diana Giraldo Universidad Nacional de Colombia Morphometric Analysis
Charul Giri University of Agder 3D CNNs, Alzheimer's detection, Alzheimer's prediction, Computer vision
Juan D. Gispert Fundació Pasqual Maragall Partial Volume Correction,
Giovanni Giulietti IRCCS Santa Lucia Foundation magnetic resonance, DTI, Alzheimer, mild cognitive impairment
Felipe Giuste Emory University Neuroimaging, Machine Learning, Neuroinformatics
Helia Givian - 0440571898
Jacob Gjerdalen University of Victoria DTI
Scott Gladstein AbbVie image analysis, machine learning, patient stratification, clinical trial design
Brad Glazier Indiana University Imaging, Genetics, Biomarkers
Ezequiel Gleichgerrcht MUSC Neurology, connectom
M. Maria Glymour UCSF Friday Harbor; psychometrics; cognitive reserve; using ADNI data as a teaching e
Alison Goate Icahn School of Medicine at Mount Sinai Genetics, using ADNI data as a teaching example, Friday Harbor
Krzysztof Gociewicz Jagiellonian University disorders of consciousness, consciousness, resting-state. dti
David Godinez University of North Texas Data, alzheimers
Gadi Goelman Hadassah Hebrew University Medical Center fMRI, coherence, directed pathways
Nitika Goenka UPES Health Data Analytics, ML
Jantje Goerdten University of Edinburgh Dementia, risk prediction, middle-age
Aditya Gogoi Anthem Inc. Deep Learning; Ensemble; onset Dementia;
Sheng-Yang Goh UCSF frontotemporal dementia
Suril Gohel School of Health Professions, Rutgers University PET, MRI, Alzheimer
Sapir Golan Sheba Medical Center AD, IRAP, IDCD, Diabeties
Mohammad Golbabaee University of Bath compressed sensing, machine learning
Danielle Goldfarb Banner Alzheimer's Institute sleep, ventriculomegaly
Ido Goldstein The Open University of Israel Deep Learning, image analysis
Felicia Goldstein Emory University task engagement, recognition memory, normal cognition, MCI, AD
Ali Golestani University of Toronto segmentation, deel learning, convolutional neural network
Ann Gollapudi Pine Richland HIgh School Alzheimer's diesease
Sepehr Golrizkhatami Fraunhofer Institute Event-based modeling, mechanism validation
Jesus Gomar Northwell Health Amyloid PET
Marc Gómez The Bonn-Aachen International Center for Information Technology (b-it) Deep learning; time-series; VAE;
Catalina Gomez Universidad de los Andes brain tumor segmentation,
Alejandra Gomez University of Texas at El Paso A0]POE4 gener, hippocampus, MRI images, behavioral test results, demographics
Isabel Gomez Consorci Sanitari Integral Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
Jon Ander Gómez Adrián Universitat Politècnica de València Deep Learning; Semantic segmentation of medical images; Predictive models;
JUAN PABLO GOMEZ GONZALEZ QUBIOTECH HEALTH INTELLIGENCE MRI volumetry, Alzheimer's Disease
Vanessa Gomez-Verdejo Universidad Carlos III de Madrid machine learning, mri
Sofia Gonçalves Instituto Superior de Engenharia do Porto Alzheimer's disease
SAI KUMAR GONDI Search Results Web results Dr.M.G.R. Educational and Research Institute diabetes type-II , research , Deep Neural Networks
nanjie gong Shanghai Research Center for Brain Science and Brain-inspired Intelligence fMRI
Kuang Gong Massachusetts General Hospital Deep learning, AD, MCI
Yu Gong Shenzhen Institutes of Advanced Technology Chinese academy of sciences joint imaging; reconstruction; accelerated MRI; low-dose PET
Zhaowen Gong University of Stuttgart 3D Registration, CNN
Enhao Gong STANFORD UNIVERSITY Deep Learning, Compressed Sensing
JIAHONG GONG Harbin Medical University 966730967
Siliang Gong University of Pennsylvania Pairwise screening, pathway analysis, variable selection
Zhaowen Gong University of Stuttgart 3D Registration, CNN
Liang Gong Chengdu Second People's Hospital APOE gene; functional connectivity; AD; Aging
bangming gong shanghai university multi-view, medical imaging
Venkateswarlu Gonuguntla Samsung Medical Science Research Institute graph convolution, fMRI
Cassandra Gonzalez CU Anschutz Medical Campus Comparative Anatomy
Daniel Alejandro Gonzalez Salamanca Universidad Nacional de Colombia computational machine
diego maximiliano gonzalez vivanco UNAM Machine learning and artificial intelligence
Gabriel Gonzalez-Escamilla University Medical Center of the Johannes Gutenberg-University Mainz Aging, neurodegeneration
Max Goodman UCLA blood, CSF, biomarker, PET, MRI
Abbey Goodyear National Institutes of Health - NIBIB DTI
Marcia Gordon Michigan State University senescence, CDKN2A, microglia
Brian Gordon Washington University in St. Louis tau, amyloid, PET
ELENA GORELLI UNIVERSITà DEGLI STUDI DI SIENA Neural Network, CNN, Siamese network, MRI images, Alzheimer
Pietro Gori Télécom ParisTech T1, DWI, statistical shape analysis, education
Richard Gorniak Thomas Jefferson University MRI, convolutional neural networks, medial temporal sclerosis
Juan Manuel Gorriz University of Granada Image processing, Random forest
Mattias Göthlin University of Gothenburg, Institute of Neuroscience and Physiology Classification, prognostic accuracy, demography
Tsubasa Goto FUJIFILM corporation brain region, multimodal, predict progression, pTau
Tazuko K. Goto Tokyo Dental College Alzheimer Disease, tooth
Assaf Gottlieb UTHealth AD, FTD
Walaa Gouda JOUF University alzheimer, CAD
Daniel Gourdeau Université Laval Radiomics,AD prognosis, machine-learning, texture analysis
Megha Gowda Student Cognitively Normal(CN), Mild Cognitive Impairment(MCI),Alzheimer's disease,
Saksham Goyal BML Munjal University Reasearch, Computer Vision
sonal goyal NSIT, New delhi, india MRI, Classification
Shubham Goyal Maharaja Agrasen Institute of Technology Major Project
Palak Goyal Thapar Institute of Engineering and Technology, Patiala Alzheimer's Disease
Vidisha Goyal Georgia Institute of Technology Medical Image Processing
Elveda Gozdas Stanford University Mild Cognitive Impairments
Illana Gozes Tel Aviv University ADNP, ADNP related genes, RNA-seq
SARASWATHY GR M S Ramaiah University of Applied Sciences Computational, Alzheimer's disease
Vijay GR SJCIT alzheimer's disease, MRI, CNN, image processing
Ariel Graff Universtity of Toronto depression, amyloid, PET
Jinko Graham Simon Fraser University multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Kamil Grajski Nurosci, LLC Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP
Costantino Grana Università degli Studi di Modena e Reggio Emilia computer vision, medical imaging, deep learning
Ilaria Granata National Research Council (CNR) radiomics, classification, integration
Marilyn Grand'Maison Biospective PET, MRI, Alzheimer's, Cortical Thickness, AV45
Nicole Grant University of Victoria Depression Scores, Structural Scans, Atrophy, cortical differences
Mary Grant Prisma Health System ADNI Study
Massimiliano Grassi Villa San Benedetto Menni Hospital Machine Learning, Conversion to Alzheimer's Disease, MCI
Lisa Graves VA San Diego Healthcare System; UC San Diego Neuropsychology; risk factors; mild cognitive impairment; Alzheimer's disease
Katherine Gray Imperial College London Alzheimer's disease; early diagnosis
Martin Greaves Domino Printing Sciences Machine Learning
Elisabetta Grecchi GE healthcare AD, amyloid, prediction
Elaine Green Plymouth University L1 elements, retrotransposons
Lior Greenberg Israel Open University student
Clint Greene UCSB deep learning, machine learning, image synthesis, segmentation
Sara Greenfield UC Davis metabolites genome
David Greenstein Multimodal Imaging Services Corporation Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's
Allison Gregg UT Southwestern Medical Center neuropsychology, psychiatry, neuroimaging, neurocognitive
Sarah Gregory University of Edinburgh Cortisol Diabetes HbA1c
Michael Greicius Stanford University genes, structure
Joseph Grieco Wake Forest School of Medicine MRI Brain Alzheimer
Stuart Grieve Heart Research Institute data-fusion, neuroimaging, concussion, depression, dementia, brain structure
Joshua Grill UC Irvine informant
Andrea Grioni Central European Institute of Technology (CEITEC) AD DREAM model prediction
Enrico Grisan Unversity of Padova deep learning, neural networks, survival analysis
Anthony Griswold University of Miami whole genome sequencing, ABCA7, VNTR
Jenna Groh Indiana University School of Medicine Tau, Alzheimer's Disease
Colin Groot VU University medical center Alzheimer's disease, Voxel-based morphometry, psychometrics
Giuseppe Grossi Ryerson University Deep Learning, Computer Vision, Machine Learning
Matteo Grudny University of Florida diffusion magnetic resonance imaging, functional connectivity metrics
Arne Grundstad AbbVie AbbVie ADNI
anjani gss NIT,Andhra Pradesh machine learning project
Youzhi Gu Zhejiang University AD survey
Luyan Gu Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou perivascular space
guojun Gu Tongji Hospital, Medical School of Tongji Univers ASL
dongdong gu Hunan University MRI
Xuejun Gu The University of Texas, Southwestern Medical Center radiation, representation learning
Nannan Gu Shanghai Mental Health Center cognitive impairment, Alzheimer’s disease, data-mining techniques
Yohn Guan Shanghaitech University disease progression, metric learning, multi task
Yi Guan Boston University School of Medicine Imaging, MCI, subtypes
Ji Guang Soochow University GAN, MRI, CT
zhao guanhua Tianjin University of Traditional Chinese Medicine machine learning,Alzheimer's disease
Cecilia Guariglia Università Sapienza dementia, cerebellum, mri
santwana gudadhe PCCOE alzheimer disease
Egle Gudziuniene Lithuanian University of Health Sciences Alzheimer's disease, early diagnostics, dementia, brain damage
Daniel Guellmar Jena University Hospital deep learning, MRI, biomarker
Tobias Guennel Precision for Medicine CSF, predictive, machine learning
Rosember Guerra Urzola Tilburg University Sparse Principal component analysis, High Dimensional analysis, Optimization
Pamela Guevara University of Concepción white matter bundles, anatomy, machine learning
Agathe Guilloux Université Evry - Paris Saclay statistical learning, survival analysis
Pedro Guimarães Saarland University biomarkers, deep learning
Abel Guimaraes Ryerson deep learning, Alzheimer’s Disease
Lênon Guimarães USP GAN, MDD, Graph Analysis
Vânia Guimarães Faculty of Engineering of the University of Porto Classification, Alzheimer's Disease
Ana Guisasola Universidade do Minho machine learning, medical image, artificial intelligence
HE GUIYING ruijin hospital alzheimer's disease;fmri;early diagnostic markers
sharvari gujja Wuxi NextCODE machine learning, deep learning, genetic drivers
Ananya Gulati Illinois Institute of Technology, Chicago Alzheimer's, Machine Learning, Algorithms, Analysis, Drug, Bacteria, Gene
Doğuş GÜLGÜN Mersin University Deep Learning, Classification
SARITA GULIA KRMU GURGAON MATLAB, AD, ADNI
Alisha Gumber New York University R data analysis alzheimers
TAMIL INIYAN GUNASEKARAN Chosun University Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease
TAMIL INIYAN GUNASEKARAN Chosun University SNP, GWAS, MRI, pathogenesis, neuronal damage.
Roger Gunn Imperial College London Mathematical Analysis, Classification, Machine Learning
haoming guo The First Affiliated Hospital of Chongqing Medical University MRI
Yusheng Guo South China University of Technology asd123....
Xiaoyan Guo Qiqihar University deep learning medical imaging
Lei Guo Jiangnan University ADNI; Alzheimer’s disease diagnosis
Jiaming Guo Massachusetts General Hospital ordinal regression, progression of AD
Bin Guo Vanderbilt University White Matter, BOLD, Lag time
Jia Guo Columbia University AD, MRI
Pei Guo Shanxi medical university AD
wenbin guo Pingtan Comprehensive Experimental Area Hospital alzheimer
Yi Guo Xiamen Branch, Zhongshan Hospital, Fudan University ASL.
Hengtao Guo Rensselaer Polytechnic Institute Deep Learning, Computer Vision
yu guo huazhong university of science and technology DTI
Yanrong Guo Hefei University of Technology classification , neuroimaging
Tengfei Guo University of California, Berkeley Alzheimer's disease; amyloid; tau; neurodegeneration
Gavin GUO The Hong Kong Polytechnic University machine learning; transfer learning;AD
Shang Guocan South Central University For Nationalities Image Segmentation, Image Landmark Extraction
Ashish Gupta Independent Researcher Machine Learning, Deep Learning
Pranav Gupta IIT BHU CNN, Image Processing, Dementia classification
Vivek Gupta Softsensor.AI AI, Alzheimer, segmentation, disease progression
gaurav gupta Shoolini University Alzheimer image segmentation machine learning
Aditi Gupta KUMC Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI
Yubraj Gupta Chosun university CNN, Alzheimer disease
Sunidhi Gupta NYU Alzeihmer, dataset, predict
Vinay Gupta University of Manitoba Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Amrit Gupta Vellore Institute of Technology, Chennai Predect Alzeihmer's using Machine learning
Rishab Gupta SUNY Downstate Medical Center Alzheimer Disease, Outcome, ethnicity
Navin Gupta Indian Institute of Technology, Guwahati clinical subtyping, data driven, symptoms, independent component analysis
SHLOMIT GUR Penn State University Evolving functional connectivity analysis, machine learning, graph theory
HARSIMRAN GURAM lOVELY PROFESSIONAL UNIVERSITY Dementia,Neural network,MRI
Antoni Gurgui IBEC progression model, alzheimer disease, simulation,
Segolene GURNOT le wagon diagnosis prediction longitudinal imaging
Mahmut Edip Gurol Massachusetts General Hospital CAA, cortical thickness, controls, AD
Jose Gutierrez Columbia University arterial diameters, beta amyloid, tau
Boris Gutman University of Southern California DTI, diffusion MRI, Alzheimer's, human connectome
David Gutman EMORY UNIVERSITY mri dti adni
Rodney Guttmann University of West Florida Secondary data analysis, public health,minorities, rural
Kadir Güzel Yildiz Technical University Machine Learning
Beata Gyorgy ICM gwas, personalised medicine, longitudinal analysis
wang h qfnu research
J H SD Univ. Image processing; feature extraction
Jarrod Haas Simon Fraser University imaging, computer vision, synthetic data, machine learning
Haroun Habeeb University of Illinois at Urbana Champaign Machine Learning
Mohamad Habes University of Pennsylvania AD-like patterns, Brain Aging, White Matter Hyperintensities
yibeltal habtamu AAiT data,information,knowledge then wisdom.
Tetiana Habuza UAE University brain atrophy,VBM
Mallory Hacker Vanderbilt University Medical Center PDRP, PDCP, ADRP, FDG-PET
Amir Hadanny Shamir Medical Center head circumference
Seyyed Mohammad Hassan Haddad University of Western Ontario Resting-state fMRI, Amyloid PET, Brain Activity
Kirsten Hagen Oregon Health & Science University plasma, oxylipins
Amin Haghani University of California Los Angeles Alzheimer, DNA methyalation
Georg Hahn Harvard T.H. Chan School of Public Health population stratification, locStra, local analysis
Yan Hai Georgia state university confidence interval, sensitivity
Ye HaiLi CASIA CV
Nic Hainc TWH deep learning keras
Jiang Haitao USTC scientific research
Sun HaiYang Hangzhou Normal University Inter-Scanner Reliability PET SUV
Nahid Hajizadeh Shiraz University of Technology Alzheimer
vedant hakande iit indore want to build algorithm for classification of disease
Navneet Hakhu University of California, Irvine enrichment, model misspecification, mean-variance, bias, clinical trials
zahra hakimelahi islamic azad university tehran branch idea-alzheimer's disease
Omar Halawa Harvard Medical School IADL, neuropsychiatric symptoms, tau PET
Amy Halpin University of Maine CSF biomarkers, cut points, demographics
Radin Hamidi Rad Ryerson University AI, Machine Vision
Tyler Hammond The University of Kentucky cognitive reserve, Alzheimer disease, aging, DTI, MRI
Tom Hampshire Gold Standard Phantoms registration, mri, image analysis
Olivia Hampton Massachusetts General Hospital PACC, harmonization, amyloid, cognitive decline
Maryam Hamzelu Tarbiat Modares University Deep learning, machine learning
Yutan Han Shanghai University of Finance and Economics 2015Hyt0613
yujeong han konyang university deep running
wenzhong han Shenzhen university segmentation;hippocampus
Feng Han the Pennsylvania State University biomarker, fMRI, brain dynamics, prediction model
Liang Han Chongqing University early detection, MRI, MCI, AD, Artificial Intelligence
qinghua han Yunnan university Alzheimer's disease(AD,MCI,machine learning,deep learning,ADNI
Duke Han USC cognition, neuroimaging
Wenjing Han Capatical Medical University gene multimodal
Xiangmin Han SHU DNN
Shizhong Han The University of Iowa GWAS, heritability, sMRI, and fMRI
JIYONG HAN KOREA Deeplearng; Gan; Classification
Shuanglin Han Johns Hopkins University NGS analysis; rs17125944
Francis Hane Lakehead University AD prediction, APOE4, Bayesian
liu hang Tsinghua university apoech
Tong Hang Southwest Jiaotong University experimental data
Alexandru Hanganu University of Montreal T1, fMRI, rsfMRI, DTI
Kurtis Hanks Washington University of Saint Louis Bateman, amyloid-ß, assay, 42/40 ratio
Bernard Hanseeuw Massachusetts General Hospital Striatum hippocampus
Maria Hansen Technische Hochschule Mittelhessen Alzheimer's Disease, Neuronal Networks
Kevin Hanson University of Florida Machine learning, prediction, TBI, APOE, biomarkers
Xu HanXiao Xidian University risk gene,biomarker,
Zhiying Hao University of Electronic Science and Technology of China machine learning ; medical image processing
Yang Hao Beihang University Functional imaging, brain connectivity
Meiling Hao University of International Business and Economics Gene; Statistical Analysis; AD
ziteng hao beijingjiaotongdaxue alzheimer-disease-prediction
hu hao Qing Dao University Alzheimer's disease; blood biomarkers; early diagnosis
JIANG HAO NEU 12345642
Bai Haoyue Central South University 272563575db
Muhammad Haque University of Texas, McGoveern Medical School ASL, Stroke
Joanna Haralampieva Imperial College London Brain Imaging, Machine Learning, Neurodegenerative Diseases
Oscar Harari Washington University in St Louis Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau
Vida Harati Shahed University deep learning classification
Seth Austin Harding Reliance Biosciences artificial intelligence in dementia alzheimer's treatment therapy AD score
Ian Hardingham Oxford Brain Diagnostics DTI MRI
Evan Hare University of Southern California Early Detection, Amyloid-Negative, TDP-43, Amyloid, Tau, Biomarker
Poornima Haridas New York University GNN, Deep Learning, Alzheimer's Disease
Akdes Harmanci UTHealth at Houston Single cell
wade harper Harvard MEdical School alzheimer's disease, protein misfolding
Amal Harrati Stanford University Genetics, using ADNI data as a teaching example, Friday Harbor
Breanna Harris Texas Tech University cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Jacqueline Harris University of Calgary Machine Learning, Neuroimaging, Psychiatry
Brandon Harvey Emory University Alzheimer's Disease, Quasi-Periodic Potentials, fMRI, connectivity
Danielle Harvey Unversity of California, Davis biostatistics
Khader Hasan University of Texas Health Science Center at Houston diffusion tensor, CSF
md tasnimul hasan University of potsdam Image classification
Md. Mahmodul Hasan Mawlana Bhashani Science and Technology University AD, CNN, SVM, AD Detection
noorul hasan National Institute of Technology Image Segmentation
Ali Hasan Al Nahrain University Deeplearing
Jonathan Hasbani ITBA Neural networks, machine learning, Alzhei
Gwenole Hascoet Georgia Institute of Technology prediction, Alzheimer, progression
nazi hashem azarbaijan university alzheimer dataset
Arsalan Hashemiaghdam Yale University Cognition, Alzheimer's disease
Somaye Hashemifar Columbia university Machine learning, Research
Ramin Hashimzade Private Person Data Science
Jakub Hasiec Warsaw School of Economics Predictive modelling, data mining, Alzheimer's disease
Mahmoud HASSAN Rennes University EEG; Dysfunctional Brain networks;
Sean Hatton UCSD MRI, data harmonization
Daniel Hauber Gerontology teaching
Marc Haut West Virgnia Univesity ultrasound
Toshihiro Hayashi University of Tokyo MRI, psychology, biomarker
Jasmeet Hayes The Ohio State University Parkinson's disease; cortical thickness; genetics
Shereif Haykal UMCG diffusion-weighted imaging; optic nerves; NODDI; DKI
Chris Hayward Newcastle University Cognition, Structural connectivity, Brain, MCI, IQ
AMLAN PROTIM HAZARIKA JADAVPUR UNIVERSITY ,KOLKATA MRI, Fuzzy Theory, Machine Learning
RUHUL AMIN HAZARIKA NEHU Alzheimer detection using brain MRI
Nalini Hazra USC Alzheimer's
Suvojit Hazra University of Calcutta neuroimaging
Linchen He New york university Association test, binomial mixture model, complex disease, genetic heterogeneity
yuru he Sounth Medical University PET-MR
zhang he Chongqing University of Posts and Telecommunications image-to-image, multi-modal medical image
Hao He Georgia Institute of Technology course project
Tao He San Francisco State University set-based association, pathway analysis
Ke He Tsinghua University Registration, deep learning
xiaoxi he Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji 861130
lemin He Shandong first medical university AD Brain Network Multimodal
Qin He TUT AD
Qiliang He Georgia Institute of Technology flicker exposure
Chenyu He Shanghaitech University Segmentation, T1, Human Brain
Zhen He La Trobe University deep learning, computer vision
wenwen he Guizhou Medical University experiment
Siyuan He Changchun University of Science and Technology computer aided diagnosis, deep learning
Xuanning He Australian National University Dementia, Cognitive Function, Lifestyle, Cognitive Reserve
Xiaoning He The Second Affiliated Hospital of Dalian Medical University Radiomics
Eric He UNC MIA
Yuening He Georgia State University Apathy
Yao He University of Utah PET, FDG-PET, Focal AD
Rolf Heckemann Imperial College London anatomical segmentation, morphometry, volumetry,
Dennis Hedderich Technical University of Munich Magnetic resonance imaging, cortical thickness, positron emission tomography
Adrian Heeger University Hospital Düsseldorf, Germany brain atrophy, automated workflow, brain aging, brain volume
Joseph Heenan IQVIA bayesian methods, machine learning
Mohamed Hefny Queen's University Medical Data Analysis, MUltisource data integration, Disease Understanding
Madhusudan Hegde Stanford University Research
leili heidaryan sd 2
Luca Heising Tilburg University Machine learning, Deep learning, Early detection, Alzheimer's
Jarle Helle Western Norway University of Applied Sciences (HVL) Neural network, Brain age, Predict, MCI, Alzheimer's disease
Caroline Hellegers Duke NFL
Christopher Hemond University of Massachusetts atrophy, neutrophil-lymphocyte ratio
Samuel Henderson Accera Inc APOE, ADAS-Cog, MMSE
Andrew Henney JCU Generative Adversarial Networks
Rui Henriques Instituto Superior Técnico, Universidade de Lisboa Classification, Clustering
Felix Hensel ETH Zurich machine learning
dawoon heo Korea Univ. deep learning
Tobias Hepp University Hospital Tuebingen Deep Learning, Age Estimation
Wiranthe Herath Southern Illinois University Carbondale Regression
Renato Hermoza Aragones The University of Adelaide Deep learning, reinforcement learning, survival prediction, biomarkers
Monica Hernandez University of Zaragoza Computational Anatomy
Antonio Hernandez VerSci Alzheimer;s
Marcus Heron University of ulster Data Science, Machine Learning
Nitsa Herzog Birkbeck University of London Mild cognitive impairment, Alzheimer
Nitsa Herzog Birkbeck University of London MCI, Alzheimer, machine learning
Jonathan Hess SUNY Upstate Medical University Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett University of Bordeaux Patch-based biomarkers, hippocampus, hippocampal subfields
Kilian Hett Vanderbilt University Tensor-based analysis, Diffusion MRI
Nidiyare Hevia-Montiel IIMAS-UNAM segmentation, morphometric descriptors
Nargess Heydari Beni University of Waterloo Brain, Imaging, MRI, CT, PET
Aaron Heyne Technische Hochschule Mittelhessen Diagnosis Alzheimer CNN Convolutional Neural Network Wavelet
Zhang Heyu The first hospital of Sun Yat-sen University cognitive statu,biomarkers,tau PET
Derrek Hibar Genentech, Inc imaging genetics, cognitive decline, robust statistics
Charlie Hicks Oxford Brain Diagnostics DTI
Steven Hill University of Cambridge risk prediction, biomarkers
Frank Hillary Pennsylvania State University hyperconnectivity, MCI, risk, neurodegeneration
Laura Hillmer University of New Mexico vascular dementia, mixed dementia, white matter
David Hilman Imperial College London Random Forest, KNN, SVM, Progression
Max Hinne Radboud University Generalized Wishart Processes; network regression
YASHAS HIREMATH Case Western Reserve University ABIDE
Robin Hirt KIT deep learning, transfer learning, artificial intelligence
Andreia Hisi ICM data to reproduce article
Jakub Hlavka USC Price School outcome measurement, Alzheimer's disease, functional, behavioral, cognitive
lakshitha hm studying preclinical stage detection
Nick Ho The Hong Kong Polytechnic University machine learning, dementia prediction, feature importance
Raymond Ho ouhk machine learning, empirical mode decomposition
Ngoc-Huynh Ho Chonnam National University Deep learning, Bioinformatics, AD
Ngoc-Huynh Ho Chonnam National University Deep learning, Bioinformatics, AD
Lara Hocurscak FMF UL FDG-PET, Alzheimer's disease
Merle Hoenig University Hospital Cologne resilience, PET, polygenic risk
John Hoffman University of Utah FDG-PET, SPM group analysis
Malte Hoffmann Martinos Center longitudinal morphometry Freesurfer
Kareen Hoffmann University Hospital Magdeburg vascular dementia, small vessel disease, T2*-weighted MRI, fdg pet
Jacqueline Hogan University of Massachusetts Boston vvvvv
Timothy Hohman Vanderbilt University School of Medicine Genetics, Resilience, Asymptomatic,
Daniel Holder Merck Research Laboratories Biomarkers
Sean Holmes Invicro, LLC Amyloid, ADNI, DICOM, Tau
Robin Holmes University Hospitals Bristol Machine learning, VBM
Henne Holstege Amsterdam UMC Genetics, Alzheimer
Vincent Leonard Holstein University of Münster Multiple Sclerosis, Transfer learning
Robyn Honea University of Kansas School of Medicine, Alzheimer's Disease Center family history, structural brain imaging, mitochondria
junyong hong Dongseo University machine learning
Chae Moon Hong Kyungpook National University Hospital Amyloid, Alzheimer, white matter hyper intensity
Ziming Hong Huazhong University of Science and Technology medical image analysis; deep learning; graph convolution network
xin hong XiaMenUniversity AD, Prediction
Manzhi Hong SUN YAT-SEN UNIVERSITY study
Jimin Hong Seoul National University Hospital unsupervised learning, Alzheimer's disease, imaging biomarker
Xuesong Hong CSU biomedical research
HaoTian Hong Shanghai University RSFC fMRI-BOLD
junyong hong Dongseo University machine learning
Eunpyeong Hong vuno AI, deep learning
liu hongli Beijing university of technology research,MCI,classification
zou hongliang Nanjing University of Science and Technology research
Yi Hongyuan zhongshan hospital,shanghai AD
Bradley Hooker AbbVie Machine Learning Texture-Based Analysis tau PET
ahora hoooseyni none abc
Masoud Hoore Helmholtz Center for Infection Research equation-based modeling, systems immunology, multi-scale modeling
Paramate Horkaew Suranaree University of Technology Image Processing
Russ Hornbeck Wash Univ Sch Med - STL Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
Kyla-Louise Horne University of Otago Parkinson's disease, MRI, ageing, machine learning, biomarkers
Muhammed Alperen Horoz Firat University Alzheimer
Rebecca Horst Western University DTI, biomarker, subjective cognitive impairment, conversion
Steve Horvath University of California Los Angeles DNA methylation, SNP, epigenetic age, epigenetic clock, brain volume, MRI
Amirhoshang Hoseinpour Dehkordi IPM Machine Learning, Neural Networks
MD.Ali Hossain MIU Deep learning, CNN, RNN
Md Jakir Hossain UTRGV TSCCA
Md Sajjad Hossain North western university,Khulna thesis,research
Gazi Hossain University of Eastern Finland PET Dementia MRI
Rana Hossam Elden Helwan University Alzheimer’s disease, classification
salameh hosseini azad islamic university convolutional network,Alzheimer’s Disease,Neuroimaging
Seyyed Abed Hosseini Islamic Azad University of Mashhad fMRI, Data analysis, Classification
Hadi Hosseini Stanford University big data, prediction
Fatao Hou Shanghai Jiao Tong University Alzheimer Disease, Mild Cognitive Impairment, Magnetic Resonance Imaging
Yuxuan Hou ZJU jifaley
Nicholas Hou Columbia University Deep Learning, General Adversarial Network, Alzheimer
Jia Hou Hangzhou Dianzi University brain network, classification
DI HOU HOU JILIN UNIVERSITY RESEARCH BRAIN MRI T2
Beibei Hou Beijing University of Posts and Telecommunications medical image analysis
Alexander Houck Columbia University Medical Center GWAS, ICAM-1, White matter hyperintensities, tau, amyloid-beta
Katherine Houghton RTI Health Solutions biomarker, natural history, cost effectiveness
Erin Householder Washington University School of Medicine : As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
Taylor Howell UCSF online validation
Renee Howell Siemens Healthineers clinical study, MRI, PET, cgnitive assessment
James Howlett Medical Research Council EPAD Risk Modelling
Rubaiyat Hridhee Chittagong University of Engineering and Technology volumetric analysis, voxel based morphology
Jasmine Hsiao ACER cognitive frailty
Yih-Jwu Hsiao McMaster University Alzheimer's, textural analysis, Python, machine learning, ML, texture
Tsung-Yu Hsieh The Pennsylvania State University Causal discovery
ChungFu Hsu Chung Shan Medical University Hospital Functional MRI, PET, Dementia
Li-Ming Hsu UNC at chapel hill gaphy theory, machine learning
TING JUI HSU National Chiayi University timmy70267
TunWei Hsu Taipei Veterans General Hospital AD
Ming Hsu University of California, Berkeley fluency, semantic memory
Mingyue Hu Central South University MCI, AD
helen hu SHU AD diagnosis
Kaiqin Hu Xi'an Jiaotong University Maching Learning
Shi Hu University of Amsterdam deep learning, medical image analysis
Tom Hu UC Berkeley CNN, Tensor, Regression, Deep Learning
Xiaonan Hu Sinovation Ventures MRI
Chang Hu University of Illinois at Urbana-Champaign neural network, longitudinal prediction
Jen Hu Chung Shan Medical University Resting state fmri
Nan Hu Genentech biomarker; disease progression
SONG HU METROHEALTH Segmentation
Jinlong Hu South China University of Technology brain diseases diagnosis, machine learning algorithm
Helen Hu SHU investigation; algorithms
Mengjie Hu Zhejiang University In-deep learning,cognitive impairment
Cong Hu Jiangnan University artificial intelligence, pattern recognition, image processing
Ting Hu Queen's University Machine Learning, Artificial Intelligence, Metabolomics
Xixu Hu University of Science and Technology of China ADNIMERGE
Sheng Hu Anhui University of Chinese Medicine AI
Zhen Hu Johns Hopkins University connectome publication and open source dataset
huafeng hu Xi'an Jiaotong-Liverpool University Deep Learning, Medical Image Classification
Yang Hu South-Central Minzu University classify and detect Alzheimer's disease
xiaoyu hu peking university fpca
Yu Hu South China University of Technology Alzheimer's Disease detection; machine learning; data mining
Lixia Hu Shanghai Lixin University of Accounting and Finance arying-coefficient additive models, Local linear estimators, Tensor product of
Jiazhen Hu University of Melbourne Image Segmentation, Image Synthesis
Xuefang Hu Hebei University AD NC difference
huaqiang hu IQubic(beijing)Tech LTD. MRI PET
jialin hu shanghaijiaotong university neural circuit
Helen Hu C2N Diagnostics, LLC fluid biomarkers
Sing Hu Sun Yet Sen University deep learning
Shunbo Hu Linyi Univeristy image segmentation
Lingjing Hu Capital Medical University Texture analyze, VBM
Ying Hu University of Shanghai for Science and Technology MRI ;Deep Learning; AD Biomarkers
jiang hua Liaocheng University resting state fMRi
Li Hua Wuhan University segmentation
Jia Hua SUNY at Buffalo Early stage, diagnostic test
Tao Hua Huashan hospital, Fudan university Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Sunyu Hua The second affiliated hospital of Soochow Unversity Alzheimer’s disease;cortical thickness;cortical complexity
Nancy Huaman Mamani UNICAMP ontology, alzheimer disease
liu huan sichuan university Artificial intelligence、deep learing
Chin-Wei Huang National Cheng Kung University alzheimer's disease
Yuan Ling Huang Chang Gung University Alzheimer’s Disease, deep learning, Mild Cognitive Impairment
Zhichun Huang University of Wisconsin-Madison FDG PET, ASL Perfusion, Deep Learning, Generative Model, GLOW
Jingwen Huang University of Electronic Science and Technology machine learning
Shuaihui Huang South China Agricultural University Alzheimer's disease
Suqi Huang Sun Yat-sen University fMRI,AD
gan huang university of shanghai for science and technology AD, Brain network, PET, MRI
Yiyanwen Huang Queen's University Belfast How arginine metabolism altered Alzheimer’s disease
Jie Huang Michigan State University resting-state fMRI, functional connectivity
Xucheng Huang Friedrich-Alexander-Universität Erlangen-Nürnberg student thesis
chenyu huang JILIN university H+
Yali Huang Hebei University white matter; fMRI
Chao Huang UNC multiscale adaptive regression model shape analysis
MAO LUN HUANG National Chiao Tung University 951258
Biwei Huang Carnegie Mellon University Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
Kun Huang Indiana University School of Medicine Alzheimer's disease; Biological markers;
Sharon Huang Stanford Linear Accelerator Center Stanford, AD, Machine learning, Bayesian Statistics
Huey-Jing Huang Takeda California biomarkers
huaidong huang The Second Affiliated Hospital of Shantou University Medical College, China Alzheimer’s disease, machine learning
Li Huang wuhan university brain aging, prediction model
Teng-Yi Huang Taiwan Tech deep learning
Edward Huang University of Illinois at Urbana-Champaign Network integration, EMR analysis
chenyu huang JILIN university H+
Chao Jung Huang National Taiwan University AD prediction
Haiyu Huang Southwest Jiaotong University Classification of Alzheimer
Yin Huang Lerner Research Institute - Cleveland Clinic metabolomics, network, biomarkers, Alzheimer’s Disease
Jianpan Huang City University of Hong Kong Alzheimer's disease, deep learning
Peiyu Huang Zhejiang University CBF, network
Pauline Huang Stony Brook University alzheimers
Weijie Huang Beijing Normal University preclinical amyloid
Yongxiang Huang The Hong Kong University of Science and Technology Deep Learning, alzheimer diseases
jin huang wuhan textile university medical image, deep learning
Meiyan Huang Southern Medical University association anlysis
Jiayin HUANG Hospital Risk decision making,aMCI,MRI
Mengni Huang university of leeds prepare dissertation, do research
Xianzheng Huang University of South Carolina Mode regression, prediction, regressor
Vicki Huang Georgia Institute of Technology classification, progression, prediction, deep-learning, Alzheimer's Disease
Huijun Huang Xi'an Jiaotong University AD; deep learning; biomarker; pathway
Yunyou Huang Institute of Computing Technology, Chinese Academy of Sciences classify, predict, Alzheimer's disease
Chu-Chung Huang National Yang-Ming University white matter lesion
Manuel Huerbin MIAC AG Morphometry
Ismael Huertas Institute of Biomedicine of Seville FDG PET, intensity normalization
Andrew Hufton Springer Nature data-peer-review metabolomics
Kgosi Hughes Wake Forest University Alzheimer's disease, magnetic resonance imaging (MRI), PET, biomarkers
yoonsuk huh UCSF Deep learning, Alzheimer's disease, 18-F-AV45
Frank Hui Burnaby North Secondary School Convolutional Neural Network, Glioblastoma Multiforme, MRI scans, healthy brains
Aw Hui Yee University Malaysia Perlis Alzheimer disease
Willem Huijbers Tilburg University methods development, data science
yang huijing brijing university of technology brain network ;graduate student
Yan Chai Hum Universiti Tunku Abdul Rahman Educational Material
Noemi Hummel Analytica Laser disease modelling
Melissa Humphries The University of Adelaide Missing data, network analyses, generalised linear models
Hsing-I Hung National Chiao Tung University machine learning research survey bioinformatics
Guanhua Hung Tunghai University Early Diagnosis,Early Diagnosis
Zhiguang Huo University of Florida statistical methodology, clustering algorithm, Alzheimer’s disease subtypes
Mykyta Hupalo KPI bio
Kathleen Hupfeld University of Florida DWI, aging
Hans-Jürgen Huppertz Swiss Epilepsy Centre MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
Aamira Huq University of Melbourne/ Royal Melbourne Hospital Dementia polygenic risk score, resilience
Boyoung Hur Clemson University ADNI
renad hussain King abdulaziz university RENAD
Shaista Hussain Institute of High Performance Computing Deep learning
R. Matthew Hutchison Biogen Tau, Amyloid, functional connectivity, brain dynamics
Kevin Huynh Baker Heart and Diabetes Institute lipidomics, metabolomics
Alihan Huyuk University of Cambridge imitation learning, behavioral cloning
Seong Jae Hwang University of Wisconsin-Madison longitudinal, connectivity, amyloid, deep learning, uncertainty estimation
Jeong Yong Hwang GIST Dataset
hyunho hwang hanyang university skull stripping
seung hyun Hwang Severance Hospital, South Korea Deep learning, Machine Learning, Early detection
Heungsun Hwang McGill University imaging genetics; statistics, bioinformatics
Youngeun Hwang Neuroscience Convergence Center Diffusion weighted MRI
Inyong Hwang Korea University Deep Learning, Image Processing
mo hyeonmin ajou unversity alzheimr
Matthew Hyett University of Western Australia depression; mild cognitive impairment; Alzheimer's disease; resting-state fMRI
JUNGMOON HYUN Northwestern University- Feinberg School of Medicine Aging, dementia, brain, clinical data
kim hyunwoo korea university brain recognition Alzheimer
Leonardo Iaccarino University of California San Francisco dementia, age, clinical progression, MRI, FDG-PET, diagnosis, prognosis
alfredo iacoangeli king's college London telomere, bioinformatics , NGS , WGS
Sergio Iadevaia Takeda Pharmaceuticals QSP, ML, disease progression, mathematical modeling
Abdultawwab Ibiyeye Federal Polytechnic, Offa Alzheimer, Machine Learning
Olga Ibragimova ChemRar Avineuro, ChemRar, Alzheimer, AD, Dementia
Samuel Iddi University of Ghana Alzheimer's, Joint Models, Prediction, Statistical models
Jaime Ide Yale University cnn, deep learning, supervised learning
Juan Eugenio Iglesias Massachusetts General Hospital, Harvard Medical School hippocampal subfield, segmentation
Kay Igwe Columbia University WMH, Spectrum, MRS, MRI
Ryoko Ihara The University of Tokyo preclinical AD, amyloid PET, CSF biomarker, clinical outcome
Tetsuya Iidaka Nagoya University, Graduate School of Medicine resting state, support vector machine
Siddarth Ijju Stony Brook University GNN, Connectome, Connectivity Networks
Yasuhiko IKARI Kobe City Medical Center General Hospital PET, tau, amyloid
Toshikazu Ikuta University of Mississippi DTI; tractography; genetics
Ahmad Ilham Universitas Muhammadiyah Semarang Alzheimer Predictiion, Machine Learning
Ilias Iliopoulos University of Patras dataset , alzheimer , training , algorithm , classification
Guillermo Illana Universidad Politécnica de Madrid AI, Alzheimer disease, AD, preclinic, DTI, T1
Talha Ilyas Jeonbuk National University Segmentation
Masamichi Imai Tokyo Metropolitan Institute of Gerontology network analysis
Daiki Ina Harvard University AD, Deep Learning, CNN, MRI
Vanda Inacio de Carvalho University of Edinburgh Accuracy, ROC surface, Statistics, Regression, Alzheimer disease
Himaja Indukuri vertexsoft Deep Neural Network
Ajinkya Indulkar Radboud University Ensemble Techniques, TADPOLE
Park ing Acme Clustering
Silvia Ingala Amsterdam UMC amyloid, alzheimer, MR, imaging, T1
Marianna Inglese Imperial College London radiogenomic, alzheimer disease
Ananda prasad Inguva IIITG CNN
Philip Insel NCIRE power, rates of change
Ruxandra Ion University College London machine learning alzhimer's
Nancy Ip The Hong Kong University of Science and Technology synapse, cell surface receptors, kinase
Khajasta Iqbal University of Wah Alzheimer detection, MCI detection
Saeed Iqbal University of Central Punjab Brain MRI, Alzheimer Segmentation
Suhib Irsheidat Jordan University of Science and Technology Deep,learning,comptuer,mri,images
David Irwin University of Pennsylvania UDS, GWAS
Runar Isaksen SSHF ML, MRI, Alzheimer, Image Detection
Makoto Ishii Weill Cornell Medical College biomarkers, metabolic hormones, preclinical
Tariqul islam BUET 0BR11
Jyoti Islam Georgia State University fMRI, Alzheimer’s Disease, Deep learning, CNN
Mohamed Ismail TU-Darmstadt Early diagnoses alzheimer master thesis
NUR HAFIEZA ISMAIL Texas A&M University Alzheimer's disease
NUR HAFIEZA ISMAIL Texas A&M University Alzheimer's disease
Elvin Isufi Tu Delft detecting anomalies over networks
Daisuke Ito Nagoya Universiy School of Medicine Metabolomics
Sakiko Itoh Osaka University AD, MCI, subtype
simona itri università vanvitelli alzheimer disease
Jana Ivanidze Weill Cornell Medicine tau PET, amyloid PET, MMP-9, multimodal biomarkers
Alexander Ivliev Clarivate Analytics amylin pathway
Hirotaka Iwaki National Institute on Aging, National Institutes of GWAS
Yutaro Iwamoto Ritsumeikan University segmentation, image restoration, unsupervised learning
Atsushi Iwata The University of Tokyo J-ADNI
Akshay Iyer Worcester Polytechnic Institute Alzheimers, brain MRI scans, image analysis, artificial intelligence
Walter Izquierdo Florida International University BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
Nick Izzo Cognition Therapeutics proteomics, metabolomics, genomics
Neelaveni J Sri Ramakrishna Engineering College Access
Jaikanth J SASTRA 3D CNN, Alzheimer’s, detection
FEMINA J ANNA UNIVERSITY alzheimer's dataset
ALPHIN J IIIT H STRUCTURE ANALYSIS, ALZIMERS
Emimal Jabason Concordia Image Processing
Basma Jaber Goldsmiths, University of London Recurrent Neural Network, Alzheimer's Disease.
Jonathan Jackson Fr. C. Rodrigues Institute of Technology, Vashi Alzheimers, Dataset, CNN, MRI scan
T. Bryan Jackson Texas A&M University cerebellum, functional connectivity
Sean Jacobs Eisai, Inc. Prototype
Diane Jacobs UC San Diego MCI, Cognitive Composite, Rate of Change
Tanner Jacobson Indiana University School of Medicine GWAS, Multivariate
Thomas Jacquemont Institut du Cerveau et de la Moelle Alzheimer, SNAPs, DWI, connectomics
Shruti Jadon Quantiphi Inc Research
CHOI Jae Hyeok gyeongsang national university dementia and the brain of the general public
JUNG JAE WOO hansung university Alzheimer
reza jafari WTIAU thesis
Neela Jagan Sri Ramakrishna Engineering College Access MRI images
Suresh Jaganathan SSN College of Engineering Deep Learning, Stacked Auto Encoder, Multilayer Perceptron
William Jagust UC Berkeley PET, ROI
MUHAMMAD SHAH JAHAN College of Electrical and Mechanical Engineering,NUST MCI,AD,Capsule Network
Anubhav Jain IIIT-Delhi brain-images, Deep Learning, Course-project
Parag Jain Indian institute of information technology gwalior Graph Neural Networks , Resnet
manju jain Guru Gobind Singh Indraprastha University sMRI,Brain atrophy, machine learning,SVM,CNN
Ishan Jain Jaypee Institute of Information Technology, Noida sec-62, India MAchine learning
Goran Jakimovski KTI Deep Neural Networks, computer algorithms, Machine Learning
Nikša Jakovljević University of Novi Sad, Faculty of Technical Sciences assistant professor, signal processing, pattern recognition, programming
Zahra Jalalvand Central Tehran Branch Islamic Azad University MRI, Alzheimer's disease, dti, fsl, Explorer dti
Sharna Jamadar Monash University parenthood, cortical thickness, connectivity
Samira Jamalian Genentech Disease progression model
JOANNA JAMES Kolachalama Lab MRI data
Emmanuel Jammeh University of Plymouth demenia, parkinsons, bioinformatics, machine learning, decision support systems
ehsan jamshidi University of Tabriz Alzheimer's Disease- Deep Learning
Mojtaba Jamshidi Qazvin Branch, Islamic Azad University data mining
LUIS JAÑEZ UNIVERSIDAD COMPLUTENSE DE MADRID machine learning, predictive models, SVC, DNN, Alzheimer's disease,
Sung-eun Jang Dongguk univ. machine learning, one-shot learning
Ikbeom Jang Massachusetts General Hospital image quality, artifact, quality assessment
Jae-Won Jang Kangwon National University Hospital Mild cognitive impairment, Alzheimer’s disease, CSF biomarkers, Brain MRI, Beta
JongHyun Jang ETRI Mr
Jae-Won Jang Kangwon National University Deep learning, MCI, artificial intelligence
Rekh Ram Janghel National Institute of Technology, Raipur CNN, Alzheimer's Disease, Transfer Learning
Kay Jann USC Stevens Neuroimaging and Informatics Institute Complexity, PET, fMRI
Ali Jannati BIDMC – Harvard Medical School PET, rs-fcMRI, lesion network mapping
Spiro Janovic University Hospital Zagreb Teaching, lecturing
Pannatorn Janpitak Kasetsart University my research will be useful for many physician in my country.
Iris Jansen VU University Genetics, polygenic risk scoring, alzheimer, gwas
Terry Janssen DiscoveryAid.ai Machine Learning, Brain Scans, Alzheimers, Research, TensorFlow, AWS
Olin Janssen Maastricht University amyloid, alzheimer, lifestyle, comorbidities, demographics
Vaibhav Janve Vanderbilt University Medical center (VUMC) florbetapir, PiB, resilience, Alzheimer's disease
Mohamed Ali Jarboui Department of Preclinical Imaging and Radiopharmacy. UKT metabolomics
Daniel Jarquin Universidad Autónoma de Ciudad Juárez Deep learning, image reconstruction
Mojib Javadi Indoc Research/OCBN data structure, data sharing, data visualization
Reza Javidi Janssen R&D computation, data analysis
Monica Javidnia University of Rochester imaging, parkinson's, alzheimer's, dementia
Kharne Jean University of Georgia APOE e4 functional independence white matter integrity
Ryu JeChoil Soongsil univ. Computer vision
Angela Jefferson Boston University Cognitive Performance, Aging
Irina Jelistratova German Center for Neurodegenerative Diseases (DZNE) amyloid pathology, amyloid-sensitive PET
WEIMIN JENG Soochow University SVM, SSM, PCA, PET, MRI
Lisanne Jenkins Northwestern cortical thickness, neuropsychiatric symptoms
Bjørn Jensen University of Glasgow machine learning, neural networks, diagnosis, robustness
youngseok jeon National University of Singapore Deep learning, CNN, GAN, deep representation, Alzheimer's Diseaase
Byeong Chang Jeong Korea University network science, deep learning
Young Jin Jeong Dong-A University Hospital MCI, FDG-PET, White matter
Jonghun Jeong Deepnoid alzheimer, PET, deep-learning
Yong Jeong KAIST fMRI, Resting State, DMN connectivity
yeonuk jeong asan medical center deep learning
Sun Jeremy Jilin University brain
Arul Elvis Jesudoss BITS, Pilani MRI scan, Support Vector Machine, Discrete Wavelet Transform, PCA
Karan Jeswani Indian Institute of Science Deep Learning, Generative Adversarial Network
Alok Jha Capgemini Re-inforcement learning
Debesh JHa UiT - The Arctic University of Norway Alzheimer's disease
meng Jhon CUST Deep learning
jun ji Yunnan University TGL algorithm predict
li ji xibeidaxue medical image super resolution
Chuncheng Ji Boston University Imaging
Jiadong Ji Shandong University of Finance and Economics Differential network analysis, Brain functional connection
Zhiwei Ji The University of Texas Health Science Center at Houston multi-omics, systems biology, predictive model
shanling ji lanzhou university AD
Minsu Ji KAIST fNIRS
Peng Ji Fudan university Cascading, Networks
Gong-Jun JI Anhui Medical University white matter, MRI, brain
Hong Jia UNSW GAN
Bochao Jia Eli Lilly and Company RNN, predict longitudinal data
Mengge Jia Beijing Normal University brain
Guo Jiachang Huazhong techniche university Research
Xu Jiahui SZU medical image diagnosis
Caiqing Jian Guizhou University MRI, CNN, Deep Learning
ren jian central sourth university learning
zhang jian shenzhen yiwei inc mri
Zheng Jian XiDian University AD classification
Zhenqi Jiang Dalian University of Technology Alzheimer,ICA,convolutional neural network (CNN),hierarchical diagnostic feature
Zhiqiang Jiang Nanjing University of Science and Technology Quantile regression; partial functional partially linear single index model.
Yating Jiang The Center South Unversity U-Net
Songhao Jiang University of Chicago brain, disease, MRI
Xiaotong Jiang UNC decision making, treatment regimes, deep learning
Shu Jiang Harvard Medical School out-of-sample validation
Fei Jiang The University of California, San Francisco dynamic functional connectivity, resting state
Xuejuan Jiang USC Roski Eye Institute herpes
Teng Jiang Nanjing First Hospital Alzheimer's disease, Neuroinflammation, Biomarker
Hui Jiang Huazhong University of Science and Technology statistical research;censoring;regression
shan jiang Sensetime Innovation research
Hongchao Jiang Nanyang Technological University Artificial Intelligence
Shu Jiang Washington university in st.louis prediction, progression, validation
Lingxiang Jiang Taizhou First People's Hospital Vascular endothelial growth factor; neurogranin; synaptic dysfunction; Alzheimer
Juanjuan Jiang University MPMRI,PET,Image processing
Kening Jiang Johns Hopkins Bloomberg School of Public Health N/A (only for study)
Shirui Jiang Shenzhen University 1st Affiliated Hospital neuro feedback
Xiong Jiang Georgetown University Medical Center MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
yitong jiang the University of Queensland doing research
jiacheng Jiao Harbin Engineering University neural network,automatic detection
Bai Jiaqi Chongqing university Parkinson's disease
Ni Jiati theinstitution of technology in Beijing Alzheimer
cai jiatong Shanghai Maritime University pet
Wang Jiaxing Northeastern University of China Alzheimer, deep learning, convolutional neural network
wang jiayi BUAA Deep reinforcement Learning,image recognition
Li Jie Beijing Jiaotong University machine learning;early diagnoses;AD
biao jie Anhui Normal University Brain Connectivity
cen jihai Guizhou medical university Research, project
julian jimenez university of Madrid alzheimer project
Adolfo Jiménez-Huete Hospital Ruber Internacional Differential diagnosis; Gray matter volumetry
Koji Jimura Keio University resting state fMRI, behavioral testing, functional connectivity
Xuehong Jin Hebei Normal University jxhnm104542@j
Yu Jin University of Shanghai for Science and Technology study ; deep learning
Yan Jin University of California, Los Angeles DTI
Shan Jin Jinlin university Alzheimer’s disease. fMRI. deep learning
Shihao Jin Zhejiang University survival analysis, Alzheimer’s Disease, mixed type of data, deep-learning
Xuehong Jin Hebei Normal University jxhnm104542@j
Yin Jin Purdue Gene MRI fmri
Chengshi Jin UCSF brain
Liang Jin The University of Melbourne MRI, PET, biomakers, cognition
Peng Jin New York University School of Medicine functional data analysis, subgroup identification, machine learning