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Investigator Institution Keywords
Soniya - Dayalbagh Educational Institute machine learning techniques, Alzheimer’s disease
Thushara A TKM College of Engineering Image processing, deep learning, AD
Srinivasan A CSIR-CMERI Alzheimer's Disease
shyna A TKM ASL,CBF
Dinu A J Noorul Islam AI,Alzheimer's disease
Jac Fredo A.R Nanyang Technological University Sparse inverse covarience
nima aalizade RS Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Mohammad Hadi Aarabi Tehran University of Medical Sciences Diffusion MRI
saeid abbaasi FUM Multi-modal; dimensionality reduction; dynamic structure; effective distance.
Syed Qasim Abbas La Trobe University, Melbourne Discriminate Atrophy Localization
Anzar Abbas Emory University default mode network, quasi-periodic patterns, dynamics of BOLD signal
Ali Abbaszade Mashhad University of Medical Sciences statistical models; machine learning; data mining;prediction; classification
abd elazeim abd alla mohamed nour south east university MRI,AD,MCI
fatma ABDEDAYEM NATIONAL SCHOOL Of ENGINEERING OF SFAX, Tunisia fmri, segmentation, classification, blod signal
Carla Abdelnour Fundació ACE. Barcelona Treatment and Research Center Lewy body disease, biomarkers, cognitive profile
INES ABDENNAJI Universitat de les Illes Balears Alzahaimer
AmirHussein Abdolalizadeh Student's Scientific Research Center MRI, Imaging Genetics, Alzheimer's Disease, PTSD, Graph Theory, PET
Ahmed Abdulkadir University of Freiburg classification, machine learning
Azian Azamimi Abdullah Universiti Malaysia Perlis Alzheimer’s disease (AD), MRI, machine learning, prediction tool
Osama Abdullah NYU Abu Dhabi Freesurfer, DTI
Lookman Abdullah Universiti Teknologi Malaysia Computational Intelligence, Structural MRI, Neuro Imaging
Mohammed A M Abdullah Ninevah University fMRI, machine learning, AD, classification
ahemd abdullah arab acdemic for enginnering AD ,HYBRID CLASSIFICATION
Suhad Abdulzahra UMP MRI, fMRI, PET, alzheimer's disease, MCI
Dilbar Abdurakhimova Minnesota Sate Univ. Mankato MDMR
Shafiq Abedin IBM TBI, Trauma detection
Tracy Abildskov University Of Utah Mild TBI
Olamide Abiose Stanford University tau, PET, amygdala, stress
Samaneh Abolpour Mofrad Western Norway University of Applied Sciences Alzheimer, Mixed effect model, Machine Learning, ventricle, Hippocampus
Aaron Abraham University of Calgary Non-negative matrix factorization, blood-based biomarkers, machine learning
Tisha Abraham GE Deep Learning
Yonatan Abrham University of Massachusetts Lowell Healthcare, deep learning
Jill Abrigo The Chinese University of Hong Kong automated hippocampal volumetry, Alzheimer's disease
Sarah Abrishami University Of Tehran Machine Learning, Bioinformatics, Alzheimer's Disease
Anees Abrol The Mind Research Network Multimodal, AD, MCI, Progression
John Absher University of South Carolina Greenville TBI exosome AD morphometry
Mohamed Abu Sheha University of South Florida Dementia, Machine Learning, Statistical Modeling.
ami abutbul Technion medical images, clinical data, deep learning
Gerhard Acero Universidad Nacional de Colombia Resonance magnetic, alzheimer disease, single nucleotidw polymorphism,
Francisco Javier Acevedo University of Alcala PET, MRI, CSF biomarkers
Pedro Marco Achanccaray Diaz Pontifical Catholic University of Rio de Janeiro deep learning, classification, Alzheimer diagnosis, representation learning
ramakrishnan Achary University of Mumbai Deep learning , Alzheimer's
Maria Ram Achary University of Mumbai Alzhemeirs parkinsons hungtions and ALS
Nathan Ackermann Boston University Machine Learning, MCI, AD
Sarah Ackley University of California San Francisco amyloid-PET, cognition, prediction
Noriaki Adachi MSD. K.K. (Japan Branch of Merck) threshold
Benjamin Adams Eli Lilly & Co. deep learning, AI, neural network
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
Silvia Addamo University of Pavia ciao
Viraj Adduru Rochester Institute of Technology atrophy, CT, MRI,
Tameem Adel University of Amsterdam MRI Classification, Unsupervised Feature Learning.
Nil Adell Mill ETH Zürich & Zürich University Deep Learning, Early Diagnosis, Interpretability in Deep Learning
jayanth adithya Anna university Alzheimers detection ,MRI analysis
Paul Adlard The Florey Institute for Neuroscience and Mental Health Zinc, cognition, ageing, Alzheimer's disease
SEPIDEH AFSHAR 1984 Brain dynamics
Seemal Afza Lahore College for Women University Alzheimers, deep learning, neural networks, MRI, FMRI, PET images, SPECT images
Iman Aganj Massachusetts General Hospital / Harvard Medical School Brain connectivity
Aakanksha Agarwal University of Ottawa machine learning capsule networks mri datasets classification convolutional cnn
Kunal Aggarwal Amity University Machine Learning, AD, MCI
Parya Aghasafari UC Davis Feature selection, Machine learning
Mary Aghili 1985 Alzheimer, MCI, NC, machine learning, deep learning
Daniel Agostinho Universidade de Coimbra AD, Machine Learning
Isha Agrawal Netaji Subhas Institute of Technology Neural Networks, sMRI, fMRI, MCI, AD, Alzheimers
Vismay Agrawal Indian Institute of Technology Madras Medical Image Analysis
Yésika Alexandra Agudelo Londoño Universidad de Antioquia dFC, resting state, based on task
Rubén Aguilera García Granada University CNN, Alzheimer detection, deep learning.
Jamila Ahdidan Aarhus University AD, hippocampus, prediction
ASHAR AHMAD University of Bonn Personalized Medicine, Disease Rsik Models
PARVEZ AHMAD Huazhong University of Science and Technology Deep Learning, Dilated Network, Residual Network, transfer learning
Shakeeb Ahmad Indiana University Alzheimer's Disease, Cerebral Amyloid Angiopathy
Zeba Ahmad Rice University multimodal deep learning, GRU
Rauf Ahmad Uppsala University, Sweden High-dimensions; Multivariate statistics; Linear models, Dependence measures
Wahab Ahmad COMSATS UNIVERSITY ISLAMABAD(SAHIWAL CAMPUS) Alzheimer's Diagnosis
Amirhossein Ahmadi Ferdowsi University of Mashhad Investigating Focal Connectivity Deficits in Alzheimer’s Disease
Fatemeh Ahmadi Amirkabir University Ricci Flow, Teichmuller space, metric
Seyed Emad Ahmadi Yale School of Medicine brain segmentation, convolutional neural networks, machine learning
Sara Ahmadi-Abhari Imperial College London Alzheimer's disease, dementia, SUVR, Amyloid, Neurodegeneration
soheil Ahmadzadeh Tehran University of Medical Science Alzheimer,machine learning
Shanewas Ahmed Brac University AD, MCI, Alzheimer, OCT, Fundus, predict Alzheimer.
Samsuddin Ahmed BUBT Deep learning, AD
Rahman Ahmed Indiana University Imaging, CASL, functional decline, blood flow, cortical thickness
Rishad Ahmed University of Jinan Dementia, Deep Learning
Rahman Ahmed Indiana University Cortical Thickness, blow flow, cognitive decline, CASL, model
Mughis Ahmed UOG Multiple sclerosis
Juweiriya Ahmed Western University Psychosis, AD
Tanveer Ahmed KF VISTAS Segmentation, Clipping, Integration, Histogram features
Sujin Ahn Gwangju Institute of Science and Technology alzheimer
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
Santiago Aja-Fernandez Universidad de Valladolid Diffusion MRI, anisotropy measures, robust estimation
Oguz Akbilgic Loyola University Chicago deep learning, medical image analysis
yasmeena akhter IIIT Delhi ML, MRI, fMRI, Brain diseases
sharmen akhter islamic university abc
Alex Aklson IBM Canada Deep Learning, Classification, Alzheimer's Disease, Older Adults
Essang Akpan University of Pittsburgh lateralization, asymmetry
Farhan Akram Khalifa University Alzheimer, early prediction, convolutional neural networks, deep learning
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
MD MAMUN AL AMIN University of Queensland Hippocampus, Subiculum, CA1, Dentate Gyrus
Yasmina Al Khalil Eindhoven University of Technology MRI segmentation, deep learning for medical imaging
Ahmad Al Khleifat King's College London Genetics analysis, SV, CNVs, Telomere
Hasan Al Marzouqi Khalifa University of Science and Technology deep learning, residual networks, constitutional networks, SNPs
FADHL MOHAMED AL-AKWAA UNIVERSITY OF MICHIGAN metabolomics, personalized medicine
Bassam Al-Fatly Charite University Medicine fMRI, DTI, connectivity, severity
Ali Al-Nuaimi Plymouth University brain disorder
Manal Al-Qahtani King saud university Grey matter, MRI, Alzheimer, Education
basad Al-sarray univ of baghdad RPCA, Low rank
Aws AL-ZARQAWEE Universiti Malaysia Pahang CNN,Softmax
Sahar Alaa Higher Technological Institute in 10th of Ramadan City in Egypt Page | 6 Executive summary As a part of academic requirement and completion of
Reema Alabdullatif King Saud University Machine learning
Abdulwahab Alahmari King Saud University MRI, Alzheimer, hippocampus
FADHL ALAKWAA MICHIGAN UNIVERSITY drug discovery , drug repurposing
John Alam EIP Pharma Episodic Memory, Longitudinal Change
Raquib-ul Alam University of Sydney longitudinal,mri,mri,pet,genetic
MERVE ALANYALI UNIVERSITY OF WARWICK/THE ALAN TURING INSTITUTE deep learning, convolutional neural nets, data science
Hezam Albaqami University of western Australia EEG signals, alzheimer disease, brain network
Eddy Albarran Stanford University AD, machine learning
Kimberly Albert Vanderbilt University Medical Center subjective cognition, attention
Daniel Albrecht University of Southern California Amyloid, tau, CSF, blood
Jack Albright Nueva School Machine Learning, Student, TADPOLE
Sarael Alcauter Instituto de Neurobiología UNAM sulcal width, Alzheimer,
Thomas Alderson Ulster University thalamo-cortical modelling DTI
Irene Aleixandre Soriano 1997 alzheimer, project, software
Ahmed ALGendy HTI CT,MIR,Alzheimer
nawaf alharbi university of southern california deep learning , cnn, rnn
babar ali uet lahore cnn dataset
Haider ali university of gujrat fmri
Mohd Hanafi Ali The University of Sydney Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
Raza Ali Xinjiang University Deep learning Convolutional Neural networks
Sanam Ali Sunnybrook Research Institute rsfMRI; preprocessing optimization
SHABBIR ALI RYERSON UNIVERSITY Health, Crime
Shahzad Ali University of Engineering & Technology, Lahore, Pakistan MS Project Analysis
Rizwan Ali Comsats University, Abbottabad campus alzeimer, machine learning, epistasis
Ali Kevin Ali Kevin Lanzhou University predict Alzheimer's disease
Adriel Alejandro Aliaga Benavides Granma University classification, brain images,neurosciences
shirin alimoradian Islamic Azad Science and Research university arsh
samire aliniyaee Yazd University Alzheimer, biomarker, psychopathology
IBRAHIM ALIYU CHONNAM NATIONAL UNIVERSITY Alzheimer's, Big Data, cloud-based, EEG, Machine learning
Ayhan Alkan Cortexify BV (in establishment process) NIA-AA 2018 framework
ZAID ALKHALEDI UNIVERSITY OF KENTUCKY MDR; Model Selection; Continuous Phenotype; Ordered Combinatorial Partitioning
ALHASAN ALKHATIB Sakarya University MCI, Alzheimer, Image Processing, Machine learning
Luz Maria Alliende Pontificia Universidad Catolica de Chile cognitive reserve, brain imaging
HANANE ALLIOUI Cadi Ayyad University alzheimer, brain , MRI, dicom
Ina Almdahl Oslo University Hospital Cerebrospinal fluid Amyloid Depression
Kílvia Almeida UECE Research, Bachelor's thesis
Hannes Almgren Ghent University Effective connectivity, structural connectivity, cognition
Devansh Alok Jaypee Institute of Information Technology prediction, neural nets, deep learning, college project
Saif Aldeen AlRyalat University of Jordan Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Majd Alsado University of Alberta practice, personal
Duaa alSaeed king saud university CNN, Alzheimer, classification, medical imaging, image processing
faisal alsalem CICADA Imaging PET
Aamna AlShehhi Khalifa University of Science and Technology - MIT Autoencoder, Multi-model deep learning , AD risk factors
Haifa Alshehri Taif University early diagnosis ,Alzheimer , Classification
shaimaa altaay University of Baghdad Alzheimer/MRI
Tooba Altaf Private Alzheimer
Lujain AlTamimi University of Minnesota AD Cause
Andre Altmann University Collage London Imaging Genetics, Next Generation Sequencing
Michael Alummoottil University of Cape Town classifier, GAN, data augmentation, Biomedical engineering
Michelle Alva St. Francis Institute of Technology MRI, PET, AD, MCI
Alfredo Alvarez Solis IBM Alzheimer
Jennifer Alvén Chalmers University of Technology Spatial normalization, deep learning, tau PET imaging
FATIMA ALZAABI The University of Manchester Alzheimer
Miguel Amador Tecnico Lisboa Alzheimer, Biomarker, Connectome
Yahyah Aman University of Oslo Alzheimer’s disease, mitophagy, biomarkers
Robert Amaral Douglas Mental Health University Institute hippocampus, white matter, Alzheimer's disease
SAI SANTOSH AMBATI NITK SURATHKAL Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique
Ambaw Ambaw George Washington University Stacked Autoencoder, Convolution Neural Networks
ACHAIBOU Amina Ecole national polytechnique d'alger TEP , detection , neurodegenrative deseas
Eriza Aminanto University of Indonesia classification, alzheimer
Ala Amini Duke University MRI training examples
Nicola Amoroso Università degli studi di Bari Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
ZAREEN AMTUL Independent Rsearcher Alzheimer's disease, diagnosis
Jaehoon An Seoul National University GWAS, imageGWAS
Yu An Capital Medical University meta-analysis, CSF AD-type biomarkers, original data
Jennie An Washington University in St. Louis Independent component Analysis
ana ana CIIT dataset
Vikas Kumar Anand Indian Institute of Technology Madras Medical Image Analysis, Deep Learning, Radiogenomics, Radiomics
Krishna Anand XPRIZE Foundation Alzheimers
Raj Anantharaman University of Missouri Kansas City Deep learning, CNN, Classification
Essa Anas Anas machine learning
Athanasios Anastasiou Swansea University Electronic Health Records, Data Modeling
Gholamreza Anbarjafari University of Tartu Machine Learning, Alzheimer's disease, MRI scans
Gholamreza Anbarjafari University of Tartu Alzheimer disease, statistical analysis, deep learning, super resolution
Sami Andberg University of Eastern Finland Alzheimer's disease, early detection, machine learning
Loretta Anderson Johns Hopkins School of Public Health Alzheimer's Disease; Disease Progression; MCI; Biostatistics
Jeff Anderson University of Utah MRI, MCI
Vesna Andova Faculty of electrical engineering and IT Alzheimer’s Disease, similarity measurement, image retrieval, data mining
Shea Andrews Icahn School of Medicine at Mount Sinai Alzheimer's disease; mitochondria; genetic variation
John Ang AI Singapore Deep learning, feature level irregulariries
Elsa Angelini Imperial College London imaging, genomic, disease classification, longitudinal follow-up,
cucun angkoso Institut Teknologi Sepuluh Nopember feature reduction, deep belief net, alzheimer
Isabel Ann Wingert Drexel University image processing, Alzheimer's, matlab
Ananthalakshmi Annappa Pushpalatha College of Staten Island- CUNY Machine learning prediction AD MCI life expectancy
henry ansah knust deep learning
Shahab Ansari GIKI automatic brain segmentation, Alzheimer's disease, machine learning
Manon Ansart INSERM multimodal, cognition, MRI, longitudinal, machine learnin
Lin Anshi Shanghai Maritime University alzheimer's disease
Ahmed Anter Beni-suef University Neurology, MCI, AD
Isadora Antoniano Villalobos Bocconi University Youden_index Nonparametric_inference covariate_specific_diagnosis
Augusto Antunes MINER.IA AI, Machine Learning, Inflammation, AD
Mazin Aouf Western Sydney University Medical Research Datasets
Li Yew Aow Yong Universiti Teknologi Malaysia classification
Kingkarn Aphiwatthanasumet Naresuan University MR image processing
Chatchawit Aporntewan Chulalongkorn University Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova IU AD biomarekrs
Kevin Appadoo university of mauritius Fractal
Dace Apsvalka Medical Reseach Council Hippocampus
Anza Aqeel CEME, NUST RNN, SVM,Alzheimer
Ghazal Arabidarrehdor 1994 Machine Learning, Alzheimer's, Dementia
Gilderlanio Araújo Federal University of Pará association networks, non-coding RNA, eQTL, population genomics
Mohammad ARBABYAZD Institut de Neurosciences des Systèmes- INS Alzheimer's disease
Mohammad Arbabyazd INS reconstruction, virtualisation
Derek Archer University of Florida diffusion MRI, tractography
Damiano Archetti IRCCS Centro San Giovanni di Dio-Fatebenefratelli computational models
Zaniar Ardalan University of Arizona Mild Cognitive Impairment, Convolutional Neural Network
Babak Ardekani Nathan Kline Institute MRI; Corpus callosum; shape analysis;
Kareem Areed Mansoura University Healthcare
Eider Arenaza-Urquijo Mayo Clinic Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Emilia Arens University Osnabrück Classification
Eleni Aretouli University of Deusto intraindividual variability
Konstantinos Arfanakis Illinois Institute of Technology diffusion, DTI, registration
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
Franchesca Arias University of Florida cognitive reserve
SHIORI ARII HEROZ CT,Super-Resolution, Image Enhancement, Deep Learning
Ivan Arisi Fondazione EBRI "Rita Levi-Montalcini" Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
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
Nicole Armstrong National Institute on Aging Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
omri Armstrong Tel Aviv University Domain Adaptation
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
sai arthi SSN Engineering College Diagnosis, automated, early detection, Alzheimer's Disease
Christoph Arthofer University of Nottingham MR brain segmentation
Michael Arthur University of Texas at Austin Joydeep Ghosh
Eivind Arvesen N/A machine learning, deep learning, ai, neural networks
Zobair Arya University of Oxford Diagnosis, machine learning, temporal modelling, multi-modal analysis
Shiva Aryal Institute of Medicine, Tribhuvan University Teaching Hospital Medical doctor, researcher
Amirhossein Arzani Northern Arizona University hemodynamics, blood flow, perfusion
Nibal Arzouni USC AD, Imaging genetics,
Fatemeh Asadi Tehran universityof medical sciennce Alzheimer, machine learning
Hadis Asadi Islamic azad university Central Tehran Branch Medical radiation
Maame Gyamfua Asante-Mensah Skoltech Neural Networks, Classification
Charubutr Asavaroengchai A.I. Brain Co., Ltd deep learning
Davud Asemani MUSC MRI structural analysis
Kamiar Asgari USC EEG time series, Abnormality detection, CPS, fractional dynamics
nina ash amirkabir university Alzheimer's Disease, PET, image processing
Tahir Ashad harbin institute of technology image processing,image analysis
Wes Ashford Stanford leptin, Alzheimer, blood, dementia
Miriam Ashford NCIRE Clinical
Al ashir Dhaka International University Brain anomaly
Azhaar Ashraf Imperial College London Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Abida Ashraf GG post Graduate Collage No.1Abbotabad Alzheimer
Amir Ashraf-Ganjouei Tehran university of medical scienses Machine learning, Neural network
Breton Asken Brown University risk score, conversion, multivariate base rate, amyloid, ATN
Brianna Askew Alzheimer's Disease Cooperative Study dementia, intervention, risk factors
Per Aslaksen University of Tromsø Alzheimer, freesurfer, tDCS
Eric Aslakson Poiema, LLC adni transmart
amara aslam university of gujrat fmri
amara aslam university of gujrat Parkinson disease
Toshihiko Aso Kyoto University Graduate School of Medicine BOLD signal, cerebral blood flow, venous drainage
Assif Assad Islamic University of Science and Technology MAchine Learning Deep Learning ARTIFICIAL Intelligence
Ava Assadi macquarie university deep learning
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks
MIRUNA FLORENTINA ATES MALTEPE UNIVERSITY brain volumetry, Alzheimer disease, analyse, cognition
Taylor Atkinson University of South Florida MoCA, media, test exposure
Selamawet Workalemahu Atnafu university of Bologna Neurological disorder, Machine Learning, Alzheimer
Amani Atwi American University of Beirut Machine learning
Christy Au-Yeung Sunnybrook Cognition, ASL, fMRI
Gaelle Aubertin-Kirch MIAC-AG standardization, automatic process, software evaluation
Michel Audette Old Dominion University hippocampus, atrophy, prognostic biomarker
Tibor Auer Royal Holloway University of London automatic analysis; dynamic connectivity; fmri; big-data
Joseph Austerweil University of Wisconsin - Madison Sequencing Biomarkers, Machine learning, individual differences
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
Pedro Alejandro Avila Plaza Universidad Piloto de Colombia alzheimer
Daniel Felipe Avilán Caldas Universidad Nacional de Colombia DTI
Netanell Avisdris Ichilov Hospital superresolution
Netanell Avisdris Ichilov Hospital superresolution
Tzvi Aviv AvivInnovation caspase-6, app, tau,
Hifza Awan University of Gujrat 123
Shivangi Awasthi Merck & Co. Alzheimer's, biomarkers
Enes Ayan Kırıkkale University Alzheimer, Deep Learning, CNN, Medical Image Analysis
Yesim AYDIN SON Middle East technical University Data mining, Hybrid Methods, SVM-ID3
Matt Ayers indiana university ADC cognitive reserve
Murathan Aytekin Istanbul University CNN Classifier AD
Scott Ayton University of Melbourne CSF amyloid b, tau, heart rate, blood pressure
ASLI AYTULUN HACETTEPE UNİVERSİTY SCHOOL OF MEDİCİNE NPT, dementia
Deepak Nag Ayyala Medical College of Georgia, Augusta University time series; resting state; high dimensional inference;
Ebru Ayyurek Namık kemal university neuroscience
Cristian Azamar García Universidad Autónoma Metropolitana Alzheimer, Characterizing, database.
Tiago Azevedo University of Cambridge fmri mri clinical
Nasir Aziz Leiden University Medical Center body weight
HANI NAJIHAH AZIZ University Tun Hussein Onn Malaysia Alzheimer's Disease,Computer Aided Monitoring, Image processing,
Ahmadreza Azizi VirginiaTech Adversarial attack
Mohd Hafrizal Azmi Universiti Putra Malaysia AD Classification
darnisa azzahra Universitas UPN Jakarta Alzheimer's image dataset
Rudhra B IIITMK PARKINSON
shwetha B sjce Alzheimers, MRI, Wavelets, SVM
Rekha B U Visveswaraya Technological University Machine learning, Artificial Intelligence, Alzheimer's disease
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Abbas Babajani-Feremi The University of Tennessee Health Science Center Imaging biomarker; Early identification of the Alzheimer’s disease (AD)
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
fatemeh bahadoran babol noshirvani university of technology alzheimer neural network
Safa Bahri University of Valenciennes Classification, Deep Learning
weiling bai Inner Mongolia University 123123
Huiwen Bai Dalian University of Technology image classification
Paul Baird Centre for Eye Research Australia, University of Melbourne AMD, genome wide, interaction
Utkarsh Bairolia IIT ISM DHANBAD Instance based mapping, Multiple kernel learning
Zhang Baiwen Beijing University of Technology AD, MCI convert
Nikolaj Bak H. Lundbeck A/S Progression, Segmentation
Susan Baker Janssen R&D Diagonsis, Progression, Biomarkers
Paula Baker Saint Mary's University of Minesota dementia, Alzheimer's
Mudathir Bakhit Fukushima Medical University DLPFC, tractography, connectome
Naman Bakhru IIT Kharagpur Hidden Markov Model, Bayesian networks
Arnold Bakker Johns Hopkins University Entorhinal Cortex
Ibtissam Bakkouri FSA Ibn Zohr CAD, AD, Machine Learning
Kavitha Bakshi Ryerson Medical Machine Learning
Akshaya Balamurugan NUS Deep Learning
Yacov Balash Kaplan Medical Center MRI, subcortical hyperintensities, Alzheimer’s disease, periventricular leukoara
Priya Balasubramanian Cornell University Iron, dementia, QSM
Nishandhini Balasundar Rajalakshmi Engineering College Alzheimer’s Disease, Magnetic Resonance Imaging, hippocampus
Luis Balderas Ruiz University of Granada Classification, Parkinson, MRI, Machine Learning
Dipankar Bandyopadhyay Virginia Commonwealth University DTI, tensor regression, spatial methods
Seojin Bang Carnegie Mellon University longitudinal; multimodal; clustering; machine learning
Katherine Bangen University of California, San Diego vascular risk, cerebral blood flow, amyloid
Sadeq Bani Melhem Concordia University treating the sick brain via electrical stimulation
Rana Banik Vanderbilt University Medical Image Synthesis, Inhomogeneity study
Sarah Banks UCSD tau; alzheimer's; sex differences
Shuhei Bannae Canon Medical Systems Corporation Alzheimer disease
Leonie Banning Maastricht University Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Deepika Bansal The NorthCap University Gurugram Machine Learning, Deep Learning, MRI Image
Rashmi Banthia Harvard Machine Learning Deep Learning
Owen Bao SCUT AD,MCI,PET,MRI
xu baohong Hebei University of Technology fMRI AD deep learning
Zhao Baoqi Hangzhou Normal University research, verify paper
Fernando Barajas Universidad de Monterrey ITK , MAPER , SEGMENTATION
Jed Barash Soldiers' Home Hippocampus, opioids, Alzheimer's
Eduardo Barbará Universidad Autónoma Metropolitana (UAM) image processing data analize
Robert Barber University of North Texas Health Science Center Alzheimer's disease genetics
Philip Barber University of Calgary stroke; TIA; brain atrophy; dementia
Lorenzo Barberis Canonico Clemson University machine learning
Javier Barbero Universidad de Córdoba Machine Learning, Volumetric imaging, Metaheuristics
Jordan Barbone West Chester University Independent, personal use
Adriano Barbosa da Silva University of Luxembourg AETIONOMY
Flavia Roberta Barbosa de Araujo Federal University of Pernambuco Machine Learning, Alzheimer, GWAS, Tools, SNPs
Mikayla Barea Michigan State University white matter, MCI, conversion, learning, memory, atrophy, volumetry, DTI
Steven Barger University of Arkansas for Medical Sciences amyloid, PIB, florbetapir, prescription, drug
IOANNIS BARGIOTAS ENS CACHAN Control, Alzheimer,PET images
Sezin Barın Erciyes University sznbrn287
Giuseppe Barisano USC Stevens Neuroimaging and Informatics Institute Quality Control, MRI
Josephine Barnes UCL Institute of Neurology hippocampus, whole brain
Sandra Barral Columbia University GWAS plasma beta amyloid
Megan Barrell Cardiff University dMRI, pipeline
Hannia Barrera University of California Davis Brain, health equity, minority groups
Matthew Barrett University of Virginia School of Medicine Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
vera barstad University of Agder Deep Learning, 3DCNN,pointcloud
Abdullah Baş ERCIYES UNIVERSITY dementia
Suryakanth Basavaraj BMSITM MRI,PET
SHAIK BASHEERA NAGARJUNA UNIVERSITY CNN
Abol Basher Chosun University Alzheimer
Rodrigo Basilio IDOR DNN Machine Learning
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
Debraj Basu University of California Davis life style, AD, diversity
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Anirban Basu University of Washington, Seattle dementia progression, prediction, distributional statistics
Shubham Basu VIT Chennai Alzheimer's Disease
Vishant Bata Indian Institute of Technology,(BHU), Varanasi-India PET Scans, Early Detection, Machine Learning
malav bateriwala CSIRO Deep Learning, Segementation
Veeky Baths Birla Institute of Technology & Sciences, K. K. Birla Goa Campus Cognitive diseases, Computational Neurosciences
Mark Battle GE Healthcare Centiloid, PiB, imaging windows
Matthew Baucum University of Tennessee Knoxville machine learning, disease progression, time series
Roman Bauer Newcastle University computational neuroscience
Christian Baumgartner ETH Zurich medical image analysis, machine learning
Armin Bayati University of Victoria Cognitive disorder, microscopic, macroscopic, diagnostic, vasculature
Peter Bayley VA Palo Alto Health Care System, CYP191A, hippocampus, apoe4, neuropsychology
Omid Bazgir Genentech Feature extraction and feature learning
Tariq Bdair TUM Deep learning, Semi supervised learning
Derek Beaton Baycrest partial least squares, multivariate, genetics
Helen Beaumont University of Manchester diffusion DOC atlas
Sergio Becerra Neurological Associates of West Los Angeles fMR, Resting, BOLD, Anatomical, ASL, DTI
Lino Becerra Invicro asl, cbf
Laurel Beckett UC Davis Biostatistics
Joanne Beer University of Pennsylvania Perelman School of Medicine imaging, multi-scanner
Joanne Beer University of Pennsylvania data harmonization, longitudinal
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
Christopher Beitel University of California, San Francisco Machine learning
Lynn Bekris Cleveland Clinic Lerner Research Institute apoe, tomm40
Victoria Belancio Tulane University genetic variation
Mahanand Belathur Suresh Sri Jayachamarajendra College of Engineering AD,MCI
Andrew Bell University of Richmond dementia
Maura Bellio University College London graphic user interface; MRI; disease progression models; neurodegenerative
Tamara Belostotska University of Hildesheim Machine Learning, Deep Learning, Convolutional LSTM
Luis Beltran-Parrazal Universidad Veracruzana SVM-REF
Mikhail Belyaev Skolkovo Institute of Science and Technology disease progression, machine learning, data fusion
Olfa Ben Ahmed UNiversity of Poitiers Deep learning, medical imaging
Mostefa Ben naceur University Paris Est Convolutional neural Networks (CNN), data generation, tumor segmentation, nerati
maissa ben soussia UNC PET
Achraf Ben-Hamadou Digital Research Center of Sfax Deep learning, Alzheimer statge detection
Lizeth Benavides PUC classification, incomplete data, Alzheimer’s disease.
Camelia BENCHEQROUN Georgetown University Medical Center DICOM images
Andrew Bender Michigan State University diffusion MRI, machine learning, latent factors,
Marwa BenGhoul Anadolu university outlier, Semiparametric model, longitudinal
Thomas Bengtsson UC-Berkeley Amyloid PET
Andreana Benitez Medical University of South Carolina MoCA, Item Response Theory
Bini Mariyam Benny Rajagiri School Of Engineering And Technology ,Kakkanad adni
Julia Benoit University of Houston Alzheimer's disease, clinical trial methods, prediction
Jacob Benoit Medical College of Wisconsin AD
Mariana Bento university of calgary machine learning, image features, dementia
Tammie Benzinger Washington University MRI
Paola Berchialla University of Torino Biostatistics, Machine Learning
Leander Berg Heidelberg University Studies, learning
Maurizio Bergamino Laureate Psychiatric Clinic & Hospital DTI; GQI; structural connectivity; prediction model
Matthias Berkes York University bilingualism aging executive function
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
Mohamed Berrimi University of Ferhat Abbas 1 , Faculty of sciences Classification , Machine learning , deep learning, prediction
David Berron Lund University MTL, hippocampus, structure, preclinical AD, amyloid PET
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
Brianne Bettcher University of Colorado Anschutz Medical Campus Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Tobey Betthauser University of Wisconsin-Madison PET, neuroimaging, processing
Marie Beurton-Aimar UNIV BORDEAUX Addiction, deep learning, MRI analysis
Erin Beveridge Canon Medical Research Europe Brain segmentation, neurodegenerative disease, machine learning
William Bevis University of WIsconsin, Madison UI UX
PRITI BHAGAT KONERU LAKSHMAIAH EDUCATION FOUNDATION VADDESWARAM. EEG, SVM,aLZHEIMER'S
Keshav Bhandari Texas State University semantic segmentation
Vinay Bhapkar New York University Computer vision research
Pradyumna Bharadwaj The University of Arizona MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID
DHRUV BHARGAVA Manipal University Jaipur 3-D CNN ,Structural MRI
Kripanshu Bhargava Brain Cradle AI Deep Learning, Alzeimer Disease
Apoorva Bharthur Sanjay Indiana University Gene expression, early diagnosis, prediction
Harsh Bhasin Jawahar Lal Nehru University MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian
BHUVANESHWARI BHASKARAN The University of Memphis Machine learning, classification, neuroimaging
Kirti Raj Bhatele Rustamji Institute of technology, BSF Academy, Tekanpur Machine learning, Deep learning, Alzheimer’s disease, Schizophrenia, Parkinson’s
Ridhanshi Bhatia Amity School of Engineering and Technology AD, Neurology, CNN
Priya Bhatt Oregon Health and Science University gwas, alzheimer's disease, statistics
Chidansh Bhatt FXPAL multi-modal learning; deep learning;
SATARUPA BHATTACHARJEE UC DAVIS Analyze, Statistics
Debanjali Bhattacharya International Institute of Information Technology Bangalore Texture, shape, volume
Sudeepa Bhattacharyya Arkansas State University metabolomics, neuroimaging
Suman Bhoi National University of Singapore Multi-modality, inferencing
Satyabrat Bhol IIT Chicago Alzheimers
Manish S Bhoopalam National Institute of Technology,Surathkal, Karnataka Generative Adversarial Network, CNN, FCN
Alauddin Bhuiyan NYU School of Medicine Machine learning, MRI, Socio-demographic parameters, Alzheimer's
Xiaohong Bi University of Texas Health Science Center at Houston computational phenotyping
Chun Mei Bian Tongji Medical College,Huazhong University of Science and Technology bile acid;intestinal microorganism;Alzheimer's disease
Junyu Bian UM-SJTU Joint Institute W@icyoshrup9
xuesheng bian Xiamen University Medical Image
SHIJIA BIAN BIOGEN alzheimer's; statistical analysis
Amen Bidani IDeTiC Alzheimer's, Machine Learning
Kelsey Biddle Biddle Brigham & Women's Hospital cognitive decline, marital status, amyloid-beta, preclinical AD
Matthew Bigelow The Ohio State University Alzheimer in early stages, prognosis, MRI
Ricardo Bigolin Lanfredi University of Utah Visual dataset explanation, regression, adversarial training
Murat Bilgel National Institute on Aging FDG, amyloid, DTI, MRI, atrophy, longitudinal
Julia Billington Hidden Wings Nonprofit, Santa Barbara Cottage Hospital pesticides, glyphosate, alzheimer's disease
Benjamin Billot UCL segmentation, volumetry analysis
Reem Bin Hezam Dublin City University dementia, modifiable risk factors
Marie-Abele Bind HARVARD UNIVERSITY Statistics
Ni Bingjie Huazhong University of Science and Technology alzheimer's disease
Yuan binke Beijing Normal university machine-learning, gray matter atrophy, functional connectome
Christopher Bird Cleveland Clinic freesurfer, machine learning
Colin Birkenbihl Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI AETIONOMY, statistical comparism, modeling, validation
Joshua Bis University of Washington Alzheimer's disease, sequencing, ADSP
Gérard Bischof University Hopsital Cologne Alzheimer's disease, resting state, fMRI
Sotirios Bisdas University College London Brain ageing; Cognition; Brain tumour
Ram Bishnoi Medical College of Georgia dementia, latent variables, neuroimaging
Joseph Bishop Anthem Inc Classification Machine Learning
David Bissig OHSU retina, ocular
Ashis Kumer Biswas University of Colorado Denver Machine learning; deep learning; hybrid convolution neural network; image marker
Shameek Biswas Celgene genetics, progression, biomarkers, imaging
David Bjelke The Feinstein Institute for Medical Research CMRglu, ROI
Sandra Black Sunnybrook Research Institute MRI Volumetry, Alzheimer disease progression
Vic Black Beijing University of Chemical Technology deeplearning, AD
Jennifer Blackwood University of Michigan-Flint MCI, neurological exam, vital signs
Elise Blaese IBM Research NIA GCAD Watson
James Blair University of Virginia Cognitive Impairment, Structure, T1
Sergio Blanco Trejo University of Seville Algebraic topology
Toby Bloom New York Genome Center Alzheimers Disease, centenarians, Ashkenazi
Emma Bluemke University of Oxford healthy ageing, neural networks
Jenna Blujus UWM Alzheimer's disease
Dominik Blum University Hospital Tuebingen Parkinson, Cognition, FDG, denoising
Jan Krzysztof Blusztajn Boston University School of Medicine CSF, plasma, biomarkers
Andrew Boateng-Poku University of Miami Cognition, aging, brain, memory
dheeraj bobbili Megeno S.A WGS, array, hashing, PRS, stratification
Jason Bock Medical Care Corporation MCI, AD, longitudinal, prediction, bayesian modeling
Raviteja Bodla Springboard Deep learning
Michael Boedigheimer Amgen NFL
Katharina Boegl Humboldt-Universität zu Berlin Hippocampus
Susan Boehnke Queen's University CSF biomarkers, lumbar puncture
Ronald Boellaard University Medical Center Groningen Image methodology, quantification, processing, classification
Eric Boerwinkle University of Texas Health Science Center at Houston whole genome sequence
Arun Bokde Trinity College Dublin MRI, grey matter, volumetric, hippocampus
Sideny Bolden Bethune Cookman University AD, MRI, SVM, Machine learning, diagnosis, neuroimaging biomarkers,
Andrea Bolivar Matos Massachusetts Institute of Technology (SSO) predictive, onset, alzheimers disease
Sai Krishna Bollam University of Illinois at Urbana-Champaign multimodal, deep learning
Ranvit Bommineni University of Illinois, Urbana Champaign GAN MRI PET image translation
Borna Bonakdarpour Northwestern University Resting state fMRI, language network
sriharsha bondalapati international institute of information technology brain MRI data
sriharsha bondalapati international institute of information technology Alzhimers disease prediction
Luke Bonham Johns Hopkins University normal pressure hydrocephalus, Alzheimer's disease, mild cognitive impairment
Andrea Bonilla UC Berkeley research project
Brian Booth University of Antwerp MRI atlases, image registration, metric learning
Parinita Bora MSRUAS machine learning
Miguel German Borda Borda Stavanger University Hospital cognitive testing, computerized cognitive testing, Alzheimer´s disease, MCI
Dragos Bordescu Polytechnic University of Bucharest ALZHEIMER PREDICTIVE DETECTION
Jens Borgbjerg Aarhus University Hospital MRI, dementia, rating scales
arman boroun mums fmri
Paolo Bosco INFN Alzheimer's Disease, network analyses
Zoran Bosnić University of Ljubljana Alzheimer; data mining; computer science; decision support
Nicholas Bott University of California San Francisco cognitive aging; structural imaging; inflammation
Rachid Bouamrane Université des Sciences et de la Technologie d'Oran large complex systems, feature extraction, very large networks
Reguieg Bouchra istanbul technical university brain network
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
Khaled Bousabarah Universityt Hospital Cologne deep learning, atlas based segmentation
abdelmajid bousselhalm ENSET MRI, dti
souha bousselmi faculty of sciences of tunis irm, recognition, sobell filter ,
Jose Bouza University of Florida Artificial Intelligence Neural Network
Emily Bove Cogstate Cogstate
Hamidreza Boveiri Shiraz University of Technology medical image registration; deep neural networks
Daniel Bowgett Northumbria University joint models, improved discrimination, biomarkers
Mark Bowren University of Iowa lesion method, neuropsychology, structural equation modeling
Christina Boyle USC/IGC Alzheimers, Aging, MRI
Cem Bozkus UTD ML, Alzheimers, diagnosis, prevention, early diagnosis
Andrea Bozoki Michigan State University FDG-PET; PIB-PET; Alzheimer's disease
Nicholas Bradfield St Vincent's Hospital Melbourne Mild cognitive impairment; neuropsychology; memory
Jelena Bradic UCSD lasso, testing, confidence intervals, p-values
Tyler Bradshaw University of Wisconsin attenuation correction
Larissa Braga West Virginia University Safety, adherence
Joana Braga Pereira Karolinska Institute CSF, MRI
Abdelbasset BRAHIM IMT atlantique Alzhzeimer's disease, machine learning, image processing
Lodewijk Brand Colorado School of Mines haploview, plink
Jose Bras UCL, Institute of Neurology Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie USC inflammation
Guilherme Braz Harvard alzheimers disease
Noa Bregman Tel Aviv Medical Center verbal fluency
Michael Brehler Medical College of Wisconsin Radiomics, PET, MRI
James Brewer UCSD subregional change MRI, PET
Adam Brickman College of Physicians and Surgeons, Columbia University white matter hyperintensities, PIB, amyloid
Ross Briden Brown University MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis
Joshua Bridge University of Liverpool AI, Deep learning
Robert Bridges Aegis Imaging Consultants Hypometabolism
alison brie DLUT China medical image registration
Danielle Briggs Brigham and Women's Hospital ADNI 3, LONI, coordinator
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
Robert Brown McGill University Brain extraction; Deep learning
Sam Brown University of Exeter DTI, dementia
Matthew Brown University of Alberta machine learning, diagnosis, prognosis, biomarkers
Iva Brunec University of Toronto Hippocampus, Memory decline, fMRI
Natalie Brunette Massachusetts General Hospital Alzheimer's, biomarkers, early diagnosis
Irene Brusini KTH Royal Institute of Technology Structural MRI, segmentation, deep learning, shape analysis
Annie Bryant Massachusetts General Hospital tau, perfusion, blood vessels
Arne Brys icometrix EUROPOND EBM
Antoni Brzoska Neurogazer validation, machine learning
Giovanna Bubbico ITAB, Institute for Advanced Biomedical Technologies DTI bilingualism normal aging
OMONIGHO BUBU UNIVERSITY OF SOUTH FLORIDA sleep deprivation, Alzheimer's Disease, beta-amyloid
Hans-Georg Buchholz University Medical Center NEUROSTAT, SPM12
MAGDA BUCHOLC University of Ulster dementia; Alzheimer’s disease; cognitive impairment; clinical decision support
Bradley Buchsbaum Baycrest Centre for Geriatric Care fMRI PET correlation
Hudson Buck Santa Casa de Sao Paulo School of Medical Sciences Alzheimer, diabetes, hypertension, chronic diseases
Katharina Buck Roche Diagnostics Elecsys CSF Measurements
Virginia Buckles Washington University in St. Louis DIAN ADNI
Rachel Buckley Massachusetts General Hospital/Harvard Medical School subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Gabriel Bucur Radboud University Nijmegen causal inference, Mendelian randomization, Robust estimation, Bayesian inference
Charley Budgeon University Of Western Australia Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Pranav Budhwant PICT Glucose PET Scans, Alzheimer's detection, Deep Convolutional Networks, AI, ML
Minh Bui Thuy Loi University Minh Bui
Sayed Ali Raza Shah Bukhari Jamil ur Rahman Ceter for Genome Research Mitochondrial Genomes, Alzheimers
Fahad Bukhari Karachi Institute of Economics and Technology Help the Alzheimer's patient
Nikola Bulatovic University of Montenegro deep neural networks, convolutional neural networks, classification
Santi Bullich Life Molecular Imaging GmbH florbetaben SUVR cutoff
Ömer Faruk Bulut Sakarya Unıversıty Research
Braydon Burgess Genentech AD Discovery
Ninon Burgos University College London PET synthesis
Haroon Burhanullah Johns Hopkins University Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging
Samantha Burnham CSIRO Alzheimer's; genetics, Validation, Longitudinal
Hendrik Burwinkel Technical University Munich Graph-based deep learning, machine learning
Tomasz Burzykowski Center for Statistics biomarker, Alzheimer's disease, biostatistcs
William Bush Case Western Reserve University Loss of Y, Copy Number
Stephanie Buss Beth Israel Deaconess Medical Center cognitive reserve, exercise, education, music, social
Aurelie Bussy McGill University Hippocampus Segmentation Aging Alzheimer's Disease
P. Monroe Butler University of California San Francisco Hippocampus, history of opiate exposure, ApoE
Markus Butz-Ostendorf Biomax Informatics Big Data, semantic data integration, multimodal brain imaging, AD
Punith BV Siemens Healthineers India brain segmentation
Gihwan Byeon Seoul National University Hospital Alzheimer, neurodegeneration, homocysteine
Seul Kee Byeon Mayo Clinic machine learning analysis
DeAnnah Byrd Wayne State University Cognitive reserve
Jiyoung Byun KAIST Alzheimer's disease
Tabish C Mcgill DTI, Fiber Tracts
Nagarathna C R Dsatm Mri, pet scan, eeg
BLESSY C SIMON RAJAGIRI SCHOOL OF ENGINEERING AND TECHNOLOGY ALZHEIRMER'S, DEEP LEARNING
Ryan Cabeen USC LONI tools
Monia Cabinio IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente AD, HC, structural MRI, functional MRI
YULIANA CABRERA ATRI EDC
Ylermi Cabrera-León Universidad de Las Palmas de Gran Canaria Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
Shaun Cade University of South Australia P75 neurotrophin receptor, p75 ectodomain, ELISA analysis.
Zhengting Cai HYHY jety2858
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
Chunting Cai Xiamen Univeersity cct724724
Hailin Cai Chongqing University AD,
erik cai wenzhou university multimodal neuroimaging
Xiaoqing Cai Cornell University Alzheimer, prediction, machine learning
Shuxiu Cai Shenzhen University deep learning
Fanco Cai College of Computer Science and Technology, longitudinal datasets, learning manifold trajectories
Ismael Calandri FUNDACION PARA LA LUCHA CONTRA LAS ENFERMEDADES NEUROLOGICAS DE LA INFANCIA (FLE Subtle Cognitive Impairment Biomarkers Predictors
Ryan Cali UMass Medical School Alzheimers, Machine Learning, Neuroscience
Brandy Callahan University of Calgary diagnosis, neuropsychology, dementia, mci, norms
Frederic Calon Universite Laval Alzheimer
Jacob Calvert Dascena machine learning, preidction, disease progression
Noelia Calvo Universidad Nacional de Córdoba cognitive reserve bilingualism aging
Monica Camacho UCSF alzheimer's
Eduardo Camacho UPV Artificial Intelligence, lesion segmentation
Aldo Camargo University of Liège Perfusion MRI, cognition changes
David Campbell University of Auckland epidemiological student project
Alex Campbell University of Cambridge deep learning, machine learning, fmri, diagnosis, unsupervised
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
Sema Candemir The Ohio State University Wexner Medical Center computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P
Christian Candler Belmont University imaging, genetics, confirmation
Zeynep Cantemir Gazi University Alzheimer diagnosis, deep learning, image classification
Jose L. Cantero Pablo de Olavide University sleep2019
Bo Cao University of Texas Health Science Center at Houston Machine learning
Yan Cao University of Texas at Dallas image analysis
Shuman Cao Xuan Wu Hospital, Capital Medical University 54_Feliz
Chunzheng Cao Nanjing University of Information Science and Technology Statistical learning, classification, functional data analysis
FUDE CAO Shandong Institute of Commerce & Technology Brain image analysis, prediction of alzheimer's disease
Lingcan Cao Xi'an Jiaotong University brain network dynamics, default mode network
Guanqun Cao Auburn University functional data, ADNI
Bing Cao university of north carolina at chapel hill medical image synthesis
Qi Cao Rensselaer Polytechnic Institute Dynamical Systems, Time Serious
Jiguo Cao Simon Fraser University brain network, QTL mapping
DANIEL CAPON BLOOD SYSTEMS RESEARCH INSTITUTE protein engineering, antibodies, amyloid beta, biomarker
filippo carducci university of rome PET AD
Jeremy Carmasin Massachusetts General Hospital PIB FDG AD MCI
Owen Carmichael UC Davis cortical thickness
Diedre Carmo Faculty of Electrical and Computer Engineering - UNICAMP Deep Learning, Hippocampus Segmentation
Gustavo Carneiro University of Adelaide automatic discovery of biomarkers, deep learning, machine learning
Miguel Adolfo Caro Parrado Universidad Nacional de Colombia brain aging patterns
Sarah Carr Case Western Reserve University amyloid, POSET
Thomas Carr University of East Anglia / Norfolk & Norwich University Hospitals Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning
Minerva Carrasquillo Mayo Clinic CAA, neuroimaging, intracerebral hemorrhage, GWAS
Carmen Carrion Yale Medicine Cognitive Reserve, Racial/Ethnic Diversity in Cognitive Aging
Luis Cartagena USP Body, electrical, sensor
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
Emily Carvajal Universidad del Valle preprocessing, standarization
Vítor Carvalho IF SUDESTE MG MRI Image, Machine-learning, Alzheimer's Disease
Janessa Carvalho Brown University Friday Harbor
Sofia Carvalho Universidade do Minho neuroimaging, mri, alzheimer, prediction
Francesco Paolo Casale Microsoft GWAS, images, statistical testing, multi-trait
Adrià Casamitjana Universitat Politència de Catalunya PhD, machine learning, bioengineering, early stage of AD
Silvia Cascianelli University of Perugia Deep Learning, PET, Alzheimer's Disease multiclass diagnosis
David Cash University College London familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Julian Caspers University Hospital Düsseldorf resting-state fMRI, machine-learning, classification
Isabella Castiglioni National Reserach Council AD, MCI, image classification, diagnosis, MRI, PET
Mac Gayver Castro University Center Christus Alzheimer disease, imaging, algorithms
JUAN ANTONIO CASTRO SILVA UNIVERSIDAD DE SALAMANCA medical image analysis, alzheimer's disease
Iván Catalinas Universidad Politécnica de Madrid Alzheimer
Kim Cates Seton Hall University Alzheimer's, neural networks, MRI, machine learning
Michelle Caunca University of Miami Miller School of Medicine Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Pedro Cavalcanti UFRN Image Processing, MatLab.
Michele Cavallari Brigham and Women's Hospital, Harvard Medical School amyloid, perivascular spaces, glymphatic
Enrica Cavedo Qynapse hippocampus
Bernardo Cecchetto Universidade Federal de Ciências da Saúde de Porto Alegre h9cd5ber
Nira Cedres Karolinska Institutet Alzheimers Disease
Vanessa Ceja University of California, Riverside Scan quality analysis, Clinical MRI, Computational Neuroscience
Marina Célestine MIRCen - CEA Lesion and cognitive analysis, multimodal study
Jade Centeno Amandio PUCRS research
Ricardo Cerri Federal University of Sao Carlos machine learning, SNPs, Alzheimer Disease
Alper Çevik Middle East Technical University Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Jiook Cha Columbia University deep learning, artificial intelligence,
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
Tanvi Chadaga RVCE brain tumour
Yaqiong Chai CHLA deep learning reconstruction
Wai Ho Chak CUHK Teichmuller metric, 3D shape analysis
SABYASACHI CHAKRABORTY Inje University Alzheimer, Parkinson
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
David Chamorro Neurognos Alzheimer, Diagnosis
Harshil Champaneria Arizona State University Research Project on Deep Learning
sic chan FDA PET, MRI, CSF biomarkers
Yi Hao Chan Nanyang Technological University Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets
Kannie WY Chan City University of Hong Kong; The Johns Hopkins University School of Medicine MRI, AD, deep learning
Dennis Chan Dougherty Valley High School Machine Learning, Alzheimer
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Steven Chance Oxford brain diagnostics MRI, DTI, AD, MCI
Anjali Chandra NIT RAIPUR DETECTION
Paramanand Chandramouli University of Siegen image enhancement, denoising, super-resolution
Yu-Ming Chang Beth Israel Deaconess Medical Center/Harvard Medical School Alzheimer's, temporal horn, ventricle
Minyu Chang Cornell University Fuzzy-trace theory; factor analysis
Changgee Chang University of Pennsylvania integrative analysis, multi-task learning
Catie Chang National Institutes of Health resting-state fMRI, spontaneous activity, dynamics
Benson Chang National Chiao Tung University Alzheimer's,MRI,CNN
Wan Jou CHANG British Columbia Institute of Technology Machine learning, kNN, classification, features engineering
QU chang Hebei University of Technology Dysfunction and stemness of tumor-infiltrating T cells are triggered by a common
ROST CHANG Qingdao University Alzheimer disease biomarker
Rui Chang University of Arizona Computational biology
Hui-Ming Chang Chung Shan Medical University VBM/AD
Yu-Chuan Chang National Taiwan University Alzheimer, Data Mining
Jose Chang Irias Halmstad University Convolutional nueral networks, Lewy body dementia, dementia detection
wu changfeng Anhui University China for study
huang changzeng Wuhan university hcz19960301
wang chao North University of China Wl940414.+0
Li Chao Beijing Jiaotong University Incompletion Multi-model Data learning,Missing Data Completion
Arnaud Charil Eli Lilly and Company MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Danai Chasioti IUPUI polygenic, alzheimer's
Lina Chato University of Nevada, Las Vegas MRI brain images, T1, flair, T2
Soumick Chatterjee Otto von Guericke University Magdeburg Deep Learning
Subarna Chatterjee Ramaiah University of Applied Sciences MRI, fMRI, PET, Genome dataset
Snehashis Chatterjee university of calcutta DEEP LEARNING
Ankita Chatterjee UC Berkeley gyrification index
Riya Chatterjee Monta Vista High School Gyrification Index
Pratishtha Chatterjee Macquarie University plasma ferritin, serum ferritin, iron, brain amylid load
Ann Chau HKU ASL and amyloid
Wing Fung Chau Cardiff University Big Data, lipids and metabolites
Gaurav Chaudhary M.S Ramaiah Institue Of Technology alzeimer's , neural networks
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
Diana Chavez University Spanish-English Bilinguals, Alzheimer DIsease
Yanqiu Che Penn State College of Medicine MRI; Alzheimer's Disease; Machine Learning
Gal Chechik Bar-Ilan University Deep learning
Lovena Chedumbarum Pillay University of Oxford MCI, AD, Predictive Analytics, Amyloid
Lovena Chedumbarum Pillay University of Oxford Machine Learning, Alzheimer's Disease, MRI, PET
Christel Chehoud Janssen Deep Learning
Karthikeyani Chellappa University of Pennsylvania Human and Mouse biomarker
Keping Chen Southeast University AD; circular RNA
Gang Chen Medical College of Wisconsin fMRI, MRI
Ting-Huei Chen Laval University structural equation modeling
Yanxi Chen Arizona State University GWAS
Sophie Chen Beijing University of Technology fMRI classification
Yong Chen University of Pennsylvania neurological diseases, MRI, PET, multi-source data analysis, biomarker
qiang chen Donghua University segmentation
yun chen mcgill university images segmentation
feiyan chen zju MR fMRI AI
Bingxu Chen UCSD Image Co-registration
xiangxin chen XMU SVM,PSO,Classification,Optimization
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Tao Chen Wuhan University Alzheimer’s Disease, visual features, MRI
Yicheng Chen UCSF Deep Learning
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
kuan-ting CHEN National Taiwan University ADNI
Andrew Chen University of Pennsylvania penalized, CCA, CIA, integrative analysis
Ian Chen UTS MRI analysis; CNN; Alzheimer’s Disease; Disease Degression modeling
Zhi Chen University of Electronic Science and Technology of China computer vision, neuroimaging recognition, classification
Fang Chen jackson state university image deep learning Alzheimer's
shuomei chen Anhui Jianzhu University deep learning
jiayu Chen ETHz visual feature attribution; MRI, AD
Xiaozheng Chen Xiamen University neuroimaging, dynamic functional connectivity, deep learning,
huachang chen Vanderbilt University Medical Center imputation; methodology; evaluation; bioinformatics
Yuhang Chen University of Science and Technology of China littlebear888
Tianyi Chen University of Sheffield cj18954310106
Chunling Chen Harbin Engineering University Alzheimor
Ing-jou Chen Chang Gung University AV-45, PET, AD, PCA, SVM
Yizhou Chen Zhejiang University of Technology CycleGAN,synthesis
Jinxin Chen Chengdu University of TCM alzheimer,sleep disorders,fMRI
Anthony Chen McGill University; Douglas Mental Health University Institute Machine Learning, Data Driven, Clinical Prediction
Sherry Chen The University of Sydney Frontotemporal dementia, longitudinal, neural correlates, cognition
Ying-Hsiang Chen Bioinfotronics Research Center Intelligent, cloud computing, infrastructure
Timothy Chen University of Chicago model, predict, Alzheimer's disease
Guan Wen Chen NTHU Alzheimer
anqi chen Hangzhou Dianzi University learning
Dingfan Chen max planck institute for informatics Anomaly detection, deep generative model
jing chen pennsylvannia state university arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Kerwin Chen Acer MRI, MMSE
LI-HO CHEN NYMU leochen012121
Haifeng Chen Affiliated Drum Tower Hospital, Nanjing University Medical School memorry function; rTMS; multimodal neuroimaging
Chang Chen Nanjing Drum Tower Hospital, Medical School of Nanjing University neurologist
bin chen University of Houston deep learning,predict
Yating Chen Wenzhou Medical University segmentation
Irene Chen MIT machine learning, subtypes, disease progression
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
Liang Chen University of Macau miRNA, biomarker
XIAO CHEN 复旦大学 Medical Image Analysis
Hannah Chen Massachusetts General Hospital Alzheimer's disease, machine learning, deep learning, big data
Rong Chen University of Maryland School of Medicine machine learning
Jiu Chen Nanjing Medical University AD, aMCI, DTI, sMRI, fMRI
liangming chen Lanzhou University neural network, deep learning, Alzheimer
Xu Chen University of North Carolina MRI segmentation
Chunling Chen Harbin Engineering University Alzheimer's disease
Yuanyuan Chen NorthWestern Polytechnical University Chen191520
Bo Chen Fudan University Graph theory, mental illness
Meng Chen Southeast University early diagnosis
Chen Chen Arizona State University graph mining
Frank Chen Nanjing University Alzheimer's disease MRI gene environment
Xiao Chen Amy Medical University, Daping Hospital Amyloid PET, Alzheimer’s dementia, Amyloid staging
Yuqiao Chen University of Texas at Dallas relational continuous model
Xi Chen New York University School of Medicine/Medical Center (SSO) Alzheimer APOE progression
Xin Chen University of Nottingham Longitudinal image feature extraction; disease diagnosis.
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
jing chen Pennsylvannia State University arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Xin Chen Shanghai East hospital, Tongji University, School of Medicine Neurodegeneration, Alzheimer,cognitive impairment
yan chen DLU ADNI
Johann Chen Accura Science network analysis, AD, GWAS
Mayun Chen The First Affiliated Hospital of Wenzhou Medical University Smoking; Verbal memory; Hippocampal volume; Glucose metabolism; β-amyloid; Tau.
Beichen Chen Royal Institute of Technology machine learning
Shirui Chen University of Wisconsin, Madison geodesic shooting, image registration
Hewei Cheng School of Informatics AD, MCI, fMRI, DTI, MRI
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
Shih-Chun Cheng Chang Gung Memorial Hospital Deep learning
xiaoqin Cheng Zhongshan hopsital, Fudan University AD,high heterogeneity, rapid progression
Yang Cheng University of Shanghai for Science and Technology DTI
Shih-Chun Cheng Chang Gung Memorial Hospital Deep learning
Ruida Cheng NIH brain segmentation and classification
Xu Cheng East China Normal University Medical image registration
Weili Cheng North China University of Water Resources and Electric Power Time-dependent ROC curves with missing biomarkers
BINJIE CHENG Hunan Normal University Brain,Stroke
Jing Cheng southwest University in China brain network, fMRI, AD
CHAO-WEI CHENG National Taiwan University of Science and Technology Generative Adversarial Networks, Deep learning, disease diagnosis
CongCong CHENG Zheng Zhou University watermarking
Tanya Chenhall Cogstate Cogstate
chenpeng chenpeng The First Affiliated Hospital of Guangxi Medical University ASL,fMRI,Cognitive impairment
Du Chenping Sun Yat-sen University data
Bo Cheon Samsung Medical Center Tau
EUNJEONG CHEON Daegu university dementia, biomarker
Bo Cheon Samsung Medical Center Tau and amyloid image
Venkateswararao Cherukuri PENNSTATE UNIVERSITY Super resolution
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
Aparna Chhibber Merck Research Labs biomarker genetic
Gloria Chiang UCSF DTI
Agostino Chiaravalloti University Tor Vergata Alzheimer; functional imaging; PET
Yuhei Chiba Yokohama City University Immunoogy autoantibody MRI
Patrizia Chiesa ICM rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Andreina Chietera Thales Research; DeepLearning, Alzhaimer, Dementia
deng chijun University of Electronic Science and Technology of China fmri
Makoto Chikaraishi Hiroshima University Transportation
Junichi Chikazoe National Institute for Physiological Sciences fmri
Geetha Soujanya Chilla A*STAR Segmentation
Cherise Chin Fatt University of Texas at Dallas dissertation, fcMRI, cortical thicknes
Andrea Chincarini INFN longitudinal studies, MCI, network, atrophy measurements
Vernon Chinchilli Penn State College of Medicine GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS,
eric ching shenzhen university deep learning, AD classification
Christopher Ching UCLA Urgent request for access
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
Bernard Chiu City University of Hong Kong MRI-based cognitive biomarker
Donghoon Cho Kyungpook National University Deep Learning, Diagnostic , Korea
Dong Ho Cho Korea Advanced Institute of Science and Technology (KAIST) Machine Learning, Biomarker, Classification, Diagnostic
HyungJin Cho University of Southern California Alzheimer's Disease Neuroimaging Initiative (ADNI)
HANNA CHO GANGNAM SEVERANCE HOSPITAL biomarker, imaging, alzheimer's disease
Soo Hyun Cho Sam Sung Medical Center Amyloid PET
Jung Cho CAIDE SYSTEMS, INC. deformable medical image registration
SangYeon Cho Medical school, Chungnam national university DEMENTIA
Eun Kyung Choe Seoul National University Hospital adni7677
Young Min Choe Dongtan Sacred Heart Hospital Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
Yu Yong Choi Chosun University Hospital ethnic differences, normal aging
Kyu Sung Choi Korea Advanced Institute of Science and Technology (KAIST) follow-up
James Choi Sabio Research Alzheimer Machine Learning Neural Networks
Seo-Eun Choi University of Washington Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
David Choi ITBA ICA, Alzeimer,
Kihoon Choi Hanyang university Imaging genomics, GWAS
JiHye Choi Keimyung University bio
Eun Young Choi Stanford University thalamus, rsfMRI
Woo Hee Choi College of Medicine, The Catholic University of Korea striatum, amyloid PET, tau PET
Yong-Ho Choi hanyang university Imaging genetics
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Wooyeol Choi KAIST, Republic of KOREA MCI, Graph theory
juyeon choi kbri protein fragile X
Anthipa Chokesuwattanaskul King Chulalongkorn Memorial Hospital Alzheimer's disease, mild cognitive impairment
chee keong chong University Teknologi Petronas CNN, deep learning, classification,
gabriel chong National Taiwan University image processing
Ilya Chorny Vivid Genomics Polygenic Risk Score
Jill Chotiyanonta AnatomyWorks, LLC Brain MRI, Neuroanatomy, Segmentation
PO-HAN CHOU Harvard T.H. Chan School of Public Health cortical thickness, brain asymmetry
Elizabeth Chou National Chengchi University, Taiwan machine learning, dimension reduction, similarity measure, classification
Harsh Choubey Galgotias University Detection of alzheimer's disease, MR Images, Brain
Amit Choudhari Tata Memorial Hospital dti
Ramesh Choudhary vimeet ADNI
Ankur Choudhary ASET, Amity University Uttar Pradesh Alzheimer
Tabina Choudhury Texas A&M University Alzheimer’s disease, brain, biomarkers, cognition, dementia, item response theor
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
dharmesh chourasiya local constitutional neural network , machine learning
Heiman Chow HKUST Glucose, AD, Risk
Samadrita Chowdhury University of Massachusetts,Lowell Graphs, CNN, PET, FMRI
TAPAN CHOWDHURY Techno India disease
Lucille Chrétien ENS de Lyon diabetes
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
Yancy Chu Nanjing Tech University qwer1234
Hui-May Chu Anoixis AD patients
michelle chua Melbourne Heath alzheimers
Evgeny Chumin Indiana University-Bloomington connectivity, tau, graph theory.
Timothy Chun Veteran's Affairs Machine Learning
Jerold Chun Sanford Burnham Prebys Medical Discovery Institute Alzheimer, Downs, Multiple Sclerosis, Frontotemporal, Parkinson, ALS
Hyun Jy Chung Stony Brook University FWER
se-yeon chung chosun university Alzheimer
Ai Chung King's College London genetics graph network
Jaeyoon Chung Boston University School of Medicine GWAS CSVD stroke ICH
Ming-Hua Chung Radiologics resting state fMRI DICOM
Darya Chyzhyk Inria connectome, functional connectivity
Nicholas Ciancio UAB hypertension, impairment, antihypertensives
Filippo Cieri Cleveland Clinic resting state; entropy; mci; cognitive reserve.
Emilio Cipriano IRCCS Fondazione Stella Maris Camiceriamary
Rastko Ciric Stanford University quality control, CNN
Tod Clapp Colorado State University UCHealth IRB
David Clark Indiana University Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency
David Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Alba Clemente Univarsity of Zaragoza bioinformatics, computer vision
TAMEKA CLEMONS GEORGIA STATE UNIVERSITY amylin, uncoupling proteins, insulin-degrading enzyme
Oliver Cliff University of Sydney Information theory, information dynamics, alzheimer's disease
Martin Cloutier Analysis Group Agitation, Alzheimer's, Economic burden
David Clunie PixelMed Publishing and RadPharm, Inc DICOM compression
Daniel Clymer Carnegie Mellon University Deep Learning, Medical Imaging, MRI
Bernard Cobbinah University of Electronics Science and Technology of China Convolutional Neural Networks
Yann Cobigo Unversity of California San Francisco Dementia, Normal Aging
Leandro Coelho Pontifical Catholic University of Parana machine learning, fMRI, deep learning.
Hugo Cogo-Moreira Universidade Federal de Sao Paulo Dynamic structural Equation modeling, latent variable, multilevel analysis
Petrice Cogswell Mayo Clinic MRI, aging
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
Michael Cole Rutgers University-Newark cognitive control, resting state
Daniel Coll Open University of Catalonia Alzheimer disease, Magnetic resonance imaging, Convolutional neural network
Diego Collazos-Huertas Universidad Nacional de Colombia sede Manizales Deep Learning, Convolutional Neural Networks, Data Representation
Jeanette Collette Commack High School CNN, Alzheimer's Disease, machine learning, MRI
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
Joanna Collingwood University of Warwick Biomarkers Across Neurodegenerative Diseases Collingwood
Kimberly Collins Indiana University School of Medicine biomarkers, predementia, neurodegenerative diseases
Ragnor Comerford University of Edinburgh deep learning; machine learning; Alzheimers Disease; Mild Cognitive Impairment
Robert Comley Abbvie inc PET, MRI
Lin Cong University of California, Riverside longitudinal analysis
Zhen Cong Dalian University of Technology Image Translation
Shan Cong Purdue University hippocampus, AD, MCI
Andrew Conklin Origent Data Sciences Machine Learning, Classification and Regression Modeling
Emily Connelly UCSF drug repositioning, APOE
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
Devanie Coombs Belmont University Honors Thesis
Shanna Cooper VA San Diego / UC San Diego NPI, family history
Shanna Cooper UCSD tau, NPS, cognition
Giovanni Coppola UCLA genetic genomic biomarkers
fabian Corlier University of Southern California systemic inflammation, covariance structure analysis, brain structural integrity
Daniele Corradini University of Bologna CNN, Python, Neuroimaging
Rodolfo Correia University of Sao Paulo late life depression, mild cognitive impairment
Nicole Corso Stanford University default mode networks, networks, imaging
Gabriele Costante University of Perugia RNN AD PET
Victor Costumero Universitat de València mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard CNS-Fed Neuropsychology, Aging, Eye movements, Vision
David Coughlin University of Pennsylvania AV1451, Dementia with Lewy Bodies, Alzheimer's Disease
Pierrick Coupé LaBRI UMR 5800 hippocampus
Li Courins China Segmentation and Registration
Elizabeth Couser University of Maryland, Baltimore imaging, Alzheimer's
Baptiste Couvy-Duchesne Institute of Molecular Bioscience Advanced brain aging, prediction, structural MRI
Jiayi Cox Boston University forcasting, machine learning
Mackenize Cox UNCW mri, alzheimers, machine learning
Margarida Cpsta Technical University of Munich Medical image registration
Paul Crane University of Washington genetics, example data set for learning, Friday Harbor
Breanna Crane Vanderbilt University Atrophy, Connectivity, MCI
Byron Creese King's College London polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
alessandro cremaschini Sapienza university of rome drug effetcs longitudinal panel data
Ivor Cribben University of Alberta Networks; Longitudinal networks; Resting state
Alessandro Crimi University of Zurich radiogenomics
Carlos Cruchaga Washington University School of Medicine CSF, plasma, RBM, GWAS, whole-genome
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
Dong Cui Chinese Academy of Medical Sciences & Peking Union Medical College Brain Network Hippocampus
Jiarong Cui Renmin University of China variable screening procedure
Dong cui 1978 cd_ggh100200
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
Chendi Cui University of Pittsburgh amyloid, tau, ApoE4
Menglong Cui Yunnan University medical images,diagnostic documents
Qian Cui Harbin Engineering University Alzheimer's disease
JIANAN CUI Massachusetts General Hospital medical image processing
Jing Cui C4X discovery sequencing
Licong Cui The University of Texas Health Science Center at Houston Informatics tool, ontology, hypothesis generation
Nicholas Cullen University of Pennsylvania NFL, CSF
Antônio Guilherme Cunha de Almeida Universidade Federal de Sergipe (UFS) artificial intelligence, MRI, semantic segmentation
Charles Cunningham University of Toronto 13C lactate ANLS
Miroslava Cuperlovic-Culf National Research Council, Canada machine learning; feature selection; genome scale model;
Manuel Curado University of Alicante Alzheimer analysis
Sean Curtin IAM Alzheimers vs. Healthy Brain Research
David Curtis UCL sequence variant DNA
W CW Chang'an University Image Processing Technology
Paul Cxa DIT study
Max Cynader University of British Columbia Alzheimer's Disease, machine learning, cognitive impairment risk
Marykutty Cyriac Jerusalem College of Engineering AD , hippocampus
Lucette Cysique The University of New South Wales PET network analyses
Surya D NITC brain connectivity, Kuramoto model, EEG, DTI
Arlene D'costa None Prediction,Accuracy,Deep Learning,Optimization
Leandro da Silva Sauer Universidade Federal da Paraíba cerebrovascular disease; cardiovascular disease; MCI; Alzheimer
Michael Dada Federal University of Technology, Minna, Nigeria Machine learning, MRI, ANN
Kamalaker Dadi INRIA fMRI
Jeffrey Dage Eli Lilly and Company Biomarkers
Dale Dagenbach Wake Forest University functional connectivity, hubs, AD
Joseph Dagher The MITRE Corporation T1w, MRI, identification, biometrics
Robert Dahnke University Aarhus gyrification
Heng Dai Shenzhen Institutes of Advanced Technology methylation, illumina microarray, AD pathway
jiyulei dai university of warwick AD, CNN, modelling, classification
Shaopeng Dai ICT AD, diagnosis, machine learning
Xiongtao Dai Iowa State University Functional data, longitudinal data, manifold data
baiyun dai china AD,risk factors
Weiying Dai Binghamton University ASL and fMRI resting state and fMRI task
Mengyu Dai Florida State University classification
Shuang DAI The University of Manchester Classification, AD
Chengliang Dai Imperial College London Deep learning, Structural MRI
Mohammed Dakna University medical center Gö statistical analysis
Raka Dalal Biosight Diagnostics, Machine Leaning, Deep Learning
Josue Luiz Dalboni da Rocha Univeristy of Geneva DTI, freesurfer, parahippocampal gyrus, AD, MCI
Adrian Dalca Massachusetts Institute of Technology medical image analysis, genetics, DREAM challenge
Justin Dalrymple University of Ottawa Alzhiemers, Cognitively Normal, CNN
RODRIGO DALVIT UNIVERSITY OF WESTERN ONTARIO MACHINE LEARNING, IMAGE PROCESSING
Pablo Damasceno UCSF neurodegeneration; brain atrophy; neuropathology
stefano damiani The Royal Hospital Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Jessica Damoiseaux Wayne State University functional connectivity, hippocampus, cognition
David Dan Laif MRI, AI
Sarthak Dandriyal Graphic Era deemed to be University Machine Learning, Alzheimer's disease dia
Giacomo Daneri Tuesta Universidad de Lima Machine Learning, Alzheimer, Prediction, Computer Vision
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Tien Dang Chonnam National University PET scan image, segmentation
Ebenezer Daniel University of California Los Angeles MRI , fMRI, Machine Learning
Zinkert Daniel Uva Wellassa University Brain, Cortical Thickness
Dominic Danks University College London SuStaIn disease progression modelling subtype stage inference neurodegenerative
Christian Dansereau Perceiv Research, Inc. Biomarker, progressors prediction, cognitive decline
GOWHAR DAR LOVELY PROFESSIONAL UNIVERSITY PUNJAB CNN,DEEP LEARNING,AUTOMATED
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
Ritankar Das Indian Statistical Institute Connectomics, Alzheimer's, Graph analysis, Image processing
Kalyan Das University of Calcutta categorical,miscategorization, missing ness,
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Sandhitsu Das University of Pennsylvania hippocampus MCI
Hamed Dastouri Azaruniv Neuroscience , Cognitive Science
Aaron Daub University of Washington Dementia, Multiple Sclerosis, Segmentation, Deep Learning
Jérôme Dauvillier SIB - Swiss Institute of Bioinformatics Epistasis
Deana Davalos Colorado State University TBI, biomarkers, dementia, pathological aging
Christos Davatzikos University of Pennsylvania classification, MCI, conversion to AD
Pranav Dave Azilen Technology Pvt. Ltd. Machine Learning, Alzheimer's Disease, Artificial Analysis
Amy Davila Imperial College London python machine learning
Andrew Davis University of Bath clinical progression
Neil Dawson 1974 Biomarkers, Neuro degenerative Diseases,Cellular Death
Eran Dayan University of North Carolina at Chapel Hill resting state, connectivity, machine learning
Arlene Dcosta None Prediction ,Alzheimers , Deep learning
Renske de Boer Quantib B.V. evaluation, segmentation
Marleen de Bruijne Erasmus Medical Center image analysis
Fabrizio De Carli National Research Council - Italy Mild Cognitive Impairment; Alzheimer Disease; FDG-PET
Manlio De Domenico Universitat Rovira i Virgili Multilayer networks
Robin de Flores University of Pennsylvania MTL tau atrophy AD
Johann de Jong UCB patient stratification, disease progression
Siemon de Lange University Medical Center Utrecht connectome, structural connectivity, Alzheimer, MCI
Ashley De Luna University of California, Merced classification, neural networks
Matteo De Marco University of Sheffield Alzheimer's disease, mild cognitive impairment, resting state
Steffi De Meyer 1996 Alzheimer, Mild Cognitive Impairment, Blood, Biomarkers
Melissa de Moraes Carvalho University of Campinas Classification,Deep Learning, Local Entropy
Dante De Nigris Personal machine learning, MRI, data-driven
Paulo Henrique de Oliveira Gomes Federal University of Rio Grande do Sul multimodal, classification, clusters
Micol de Ruvo Philyra UG Parkinson's, olfaction, machine learning
Eric de Silva University College London polygenic risk scores; cardiovascular disease
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
Selene De Sutter Vrije Universiteit Brussel MCI, AD, Deep Learning
Javier De Velasco Oriol Instituto Tecnologico y De Estudios Superiores de Monterrey Machine Learning, Deep learning, Genomics
Rashid Deane University of Rochester Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
William Deardorff Duke University statin, mild cognitive impairment
Alison Deatsch University of Wisconsin - Madison FDG PET, deep learning, CNN, diagnosis, biomarker
oussama debabeche biskra universty mri alzheimer
Charles DeCarli University of California at Davis MRI, cerebrovascular disease
Michael Decker Case Western Reserve University hypoxia, hyperoxia, neurodegeneration
Summer Decker University of South Florida Morsani College of Medicine morphometrics
Anthony DeCristofaro Fairfield University Alzheimer
Milan Decuyper Ghent University Deep Learning, Machine Learning, Medical Image Analysis
Brittany DeFeis University of Florida MCI, intervention, functional outcomes, clinical outcomes
Ana Defendini University of Pennsylvania Imaging
Dante Degl'Innocenti Datamantix AD, MCI
PRIYANUJ DEHINGIA ASSAM ENGINEERING COLLEGE Alzheimer's, Deep Learning
NILAM DEKA ASSAM ENGINEERING COLLEGE ALZHEIMERS DATASET
Zoe Delaney The University of Sydney Machine Learning
José Micael Delgado Barbosa International Institute of Neuroscience Brain, Blob Analysis, Active Contour based
Andrea Dell Orco Charite Berlin wmh
Stefano Delli Pizzi Univesity of Chieti-Pescara Alzheimer's Disease, Biomarkers
paul delmar F.Hoffmann-La Roche Ltd. disease progression end-point clinical trial
Gaspar Delso GE Healthcare PET/MR
Andrew DeMarco Georgetown University functional connectivity
zeynep demir University of California San Francisco ADNI
Hasan Demirel Eastern Mediterranean University CNN, deep learning, Alzheimer's Disease Detection
Şükrü DEMİRHAS SAKARYA UNİVERSTY MCI AD NM
Andrew Dempsey New York University structural MRI harmonization
Tenzin Dendup University of Canberra machine learning
Denel Denel Dalian University wmh deep learning
ANNAN DENG East China Normal University Classification; elastic net; functional logistic regression; Haar wavelets; PCA;
Jin Deng Shanghai Maritime University Study
DADA DENG Sichuan university medical image
Yanjia Deng The Chinese University of Hong Kong MRI, visual function, MCI, AD
Xia Deng China AD
Yutong Deng ShenZhen University ASL;MRI
Rezwan Derakshan urmia university data mining
Mouna Derbel CRNS Alzheimer Graph CNN multi-modalities
Natan Derek Southern Taiwan University of Science and Technology FMRI, DEEP LEARNING
Dakota Derry University of Florida Telomere length; cognitive function
pranav desai scet machine learning
Hemal Desai St. Xaviers College Deep Learning
Hemal Desai St. Xaviers Alzheimer
Vijayalakshmi Desai Dayananda Sagar Academy of technology and Management Alzheim disease, Capsule networks, Artificial neural networks, Convolution layer
Juhi Desai In-Med Prognostics Segmentation
Amit Desai Mayo Clinic Dementia, atrophy, cinematic rendering
Heather Desaire University of Kansas MCI, AD, healthy control, classification
Marie Deserno University of Amsterdam autism, neurodegenerative disorders
Vijay Deshpande IIIT Registration
Antoine Désilets Université de Sherbrooke GPR3, GPCR
Anita DeStefano Boston University Alzheimer, genetics, association
Kacie Deters Stanford University genetics, imaging, cognitive decline
Vivek Devadas Banner Alzheimer's Institute Kewei Chen
Viswanath Devanarayan Abbott Labs biomarkers, disease prognosis, disease progression, multivariate analysis
Gabriel Devenyi Douglas University Mental Health Institute, McGill University MRI
Virginia Devi-Chou Robert Wood Johnson Medical School Neurodegeneration, Alzheimer's Disease, Biomarkers, Progression
Alyssa DeVito Louisiana State University Multi-state modeling, APOE, cognitive decline
Denise Dewald University Hospitals Cleveland Medical Center sleep apnea, soft palate, tongue position
Blake Dewey Johns Hopkins University mri, ct, synthesis
Raunak Dey University Of Georgia Skull scraping
Devendra Dhami Indiana University Alzheimer,MRI,prediction
sahana dhananjayan UTD FUZZY
Shravan Dhar UVCE Alzheimer
Moyez Dharsee Ontario Cancer Biomarker Network integration, analysis
eric dhillon univ of toronto MRI volumetric analysis regional cortical white matter
Xin Di University of medicine and dentistry of new jersey connectivity, pet
Agostino Di Ciaccio University of Rome 'La Sapienza' deep learning, CNN, multi input NN
Francesco Di Lorenzo University of Sussex AD, functional conncectivity, ApoE, computational model, disease progression
Cristina Di Primio Scuola Normale Superiore MCI, AD, biomarkers
Valeria Diaz University of Palermo Alzheimer's Disease, Cognitive Impairment
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
Ousseynou Dieng université de thiés medical image analysis
Kersten Diers German Center for Neurodegenerative Diseases quality control; statistical modeling
Louis Dieumegarde IUSMQ Database
Yago Diez Donoso Yamagata University image registration, research
nassima dif EEDIS Laboratory, Djillali Liabes University, Sidi Belabbes, deep learning, medical images
HIMA DILEEP COLLEGE OF ENGINEERING KARUNAGAPPALLY ALZHEIMER'S DISEASE
Andrew DiLernia University of Minnesota clustering, functional connectivity
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Xiuhua Ding University of Kentucky group based trajecotry model , dementia, sleep apnea
wenxiang ding Shanghai Jiaotong university Alzheimer’s Disease, image analysis
Xuetong Ding Hebei University alzheimer's disease
xt Ding HeBei University Alzheimer's disease
Ivo Dinov UCLA Alzheimer's disease, statistics, shape
Nicola Dinsdale University of Oxford hippocampus machine learning
Valentin Dinu Arizona State University pathway analysis, complex phenotype, data mining, statistical analysis
Tiphaine Diot Ecole de Technologie Superieure Course project, CNN
Aleksandar Djuric Robarts Research Institute deep learning, segmentation
Iwona Dobler Takeda Pharmaceuticals International Co. biomarker
Vitaly Dobromyslin University Of Massachusetts Genetics, neuroimaging, biomarkers, machine learning
Shubham Dodia National Institute of Technology Karnataka Alzheimer, BCI, EEG, Machine learning, Deep learning
Jusheb Doe Daffodil International University Subject-818
Berk Dogan ETH Zurich deep learning, latent space analysis
Merve Yusra Dogan Istanbul Medipol University functional connectivity, neuropsychological test, fMRI, big data
Semih Doğan Engineering Faculty Student,Exam
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
Pei Dong University of North Carolina at Chapel Hill imaging biomarkers, groupwise image registration, efficient computation
Aimei Dong QiLu University of Technology Alzheimer's Disease Diagnosis, Analytical methods,predictive methods
Yilan Dong Northeastern University brain network
liao dong wuhandaxue 123555love
jaejune Dong Yonsei University prediction, neurodegenerative disease,
Shuai Dong University of Electronic Science and Technology of China, Zhongshan Institute CapsNet
Guozhu DONG Wright State University Factor ranking considering interactions
ZHANG DONG Nanjing University of Science and Technology Visualizing; CNN
shuai dong Northeastern University MRI depression
Qunxi Dong Arizona State University Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry
Claire Donnat Stanford University statistics; connectomics; dMRI; fMRI
Michael Donohue Keck School of Medicine of USC ADCS
Cristian Donos University of Bucharest mri, nonlinear registrarion, deep learning
Nandika Donthi UC Berkeley neural nets, identification
Lingraj Dora VSSUT brain tumor detection
Jonadab Dos Santos Silva Universidade Federal Fluminense amyloid angiopathy, subcortical nuclei, dementia
Ray Dou Nankai Hospital study mri
haoran dou shenzhen university deep learning
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
Daniel Drake Columbia University elastic net, penalized regression, biomarkers
Jonathan Drake Alpert Medicial School of Brown University VCAM-1, vascular risk factors
Derek Drake Harvard University AD
Qianqian Du Taiyuan University of Technology pet image reconstruction
Xiaofeng Du Xiamen university of technology Non-rigid image registration, multi-resolution image registration
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Jiao Du Guangzhou univerisity fusion
Yuhang DU He Bei University fmri
Weiyu Du University of Pennsylvania sparse principal component analysis
mingyu du Beihang University 912811450
Yuhui Du The Mind Research Network; Shanxi University Biomarkers, Classification, Clustering
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Dongsu Du Henry Ford Hospital super resolution
Chao Du National Key laboratory of Cognitive Neuroscience and Learning, Beijing Normal U Cognition
Zhongxiang Duan Beihang University CT MRI segmentation
Kaue Duarte University of Campinas alzheimers, artificial intelligence, image retrieval
Paromita Dubey University of California, Davis Brain Connectivity, Alzheimer's disease
florian dubost Erasmus MC enlarged perivascular spaces, deep learning, neural networks
Estelle DUBUS CHU TOULOUSE Cognitive description, ATN classes, amyloid biomarkers, heterogeneity
Simon Duchesne Université Laval Morphometry, MRI, multidimensional analysis
Simon Duchesne True Positive Medical Devices Inc. Biomarkers; Volumetry; Normative data
Kevin Duff University of Utah biological samples
Ben Duffy USC QC
Brittany Dugger UC-Davis Neuropathology, Heterogeneity, concomitant pathology
Juergen Dukart Hoffmann-La Roche PET MRI biomarkers diagnostic models
buaa duke Peking University Brain Parcellation, Brain Segmentation
carlos Dulanto universidad cesar vallejo neural nerwork
Christopher Dulhanty University of Waterloo 3D Convolutional Neural Network; Data Augmentation
Matthieu Dumont Imeka DWI DTI HARDI Tracking
Julien Dumurgier Lariboisiere Fernand Widal Hospital APOE, AD, CSF biomarkers
Mehmet Sait Dündar Abdullah Gul University deep learning, MRI, PET, dementia, alzheimer disease
Michelle Dunk University of Wisconsin - Milwaukee Cholesterol, APOE, amyloid-beta, tau, oxysterols, Alzheimer's disease
Matthew Dunlop-Gray The MITRE Corporation Brainprint, MITRE,
Baskar Duraisamy Hindusthan College of Engineering and Technology Deep Learning
Aiden Durrant University of Lincoln Deep Learning, Computer Vision
Anirban Dutta University at Buffalo SUNY Non-invasive brain stimulation
Martin Dyrba German Center for Neurodegenerative Diseases (DZNE) probabilistic models, multimodal analysis, machine learning, Markov random field
Witold Dyrka Wroclaw University of Science and Technology MRI, PET, computer-aided analysis, image segmentation, neural network, python
Jennifer Eastman Northwestern University MCI
Bobi Eastman Indiana University data analysis, research, early detection
Mark Ebbert Mayo Clinic Challenging regions
Amir Ebrahimighahnavieh University of Newcastle Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Ignacio Echegoyen Centre for Biomedical Technology Complexity, Networks, MCI
Roderic Eckenhoff University of Pennsylvania PET Tau, PET amyloid, surgery, biomarkers
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
Christine Edwards Mayo Clinic deep learning, interpretability, landmark detection
Amr Eed Instituto de neurociencias de alicante Machine Learning, multi-shell models
Trygve Eftestøl University of Stavanger dementia, machine learning, deep learning
Leslie Egbo UCSF ADNI 3 RA access
Graham Eglit San Diego VA Biomarkers, Tau, CSF, PET
Dagmar Ehrnhoefer BioMed X Innovation Center CSF, tau
Muhammad Ehtisham Ul Haq iiui alzheimer dataset
Simon Eickhoff Research Center Jülich Aging, Prediction, Transfer
Willem Eikelboom Erasmus MC ad
Eyþór Einarsson Haskoli Islands Deep Learning, Brain Age, Machine Learning, MRI
Nathan Einstein Harvard University Course project
Noushin Ejtehadi Iran University of Science and Technology DTI
Chima Eke Plymouth University Biomarker discovery
Shereen Ekhlas Cairo Univerity Alzheimer Disease, ADNI, MRI
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
Malek El Husseini Klinikum rechts der Isar Adversarial deep learning
abdelali el idrissi FST FEZ big data, prediction
Ahmed Elabasy Oulu university machine learning
fanny elahi UCSF Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
Ahmed Elazab Shenzhen University AD, biomarkers
Ghaidaa Eldeeb faculty of engineering cairo univeristy DTI
elfazziki elfazziki Marrakech university, computer science department alzheimer, diagnosis, machine learning
Fatmaelzahraa Elgamal University of Louisville Fusion, medical image analysis, early diagnosis of AD
Ahmed ElGazzar Academic Medical Center Amsterdam Deep learning, Clustering, Anomaly detection, Unsupervised learning, Psychaitry
Mohamed Elgendy Stony Brook University epilepsy
Odessa Elie University of Arkansas early detection
Patrick Ellis University of Sheffield segmentation cerebellar imaging radiology MRI machine_learning Alzheimer's
Natalie Ellison Pentara Corporation Composites Genetics
Brian Ellison Harvard Medical School Deep Learning
Intissar Elmajid Ibn Zohr University Deep learning, CAD, Multimodality, AD recognition, Segmentation
Jeremy Elman UCSD Pupillometry, aging, dementia
Karin Elman Shina Tel aviv Sourasky medical center menopause, mild cognitive impairment, MCI, ALZHEIMER DIS EASE, HORMONE REPLACEME
Shaker ElSappagh Inha University Mobile health, deep learning
ahmed elsayad Mansoura University big data, big data analysis , big data processing
Samar Salah Mohamedahmed Elsheikh University of Cape Town Neurogenomics, Alzheimers, Genome-wide association study (GWAS), Connectome
Habiba Elsherbiny Queen's University N/A
Fatemeh Emadi university y
Behnaz Emami Iaun 09368934595
Eman Eman TU Kaiserslautern prediction, machine learning
Jurriën Embrechts amc machine learning
Polina Emeliyanova The University of Manchester White matter, grey matter
Okyaz Eminaga Stanford University DL, Classifcaiton
Busra Emir Izmir Katip Celebi University Machine Learning Algorithms
Mohammad Asif Emran Khan Emon Fraunhofer Institute for Algorithms and Scientific Computing SCAI Neuroimaging Analysis, LONI
Corinne Engelman University of Wisconsin-Madison Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Joel Eppig SDSU/UCSD Joint Doctoral Program in Clinical Psychology MCI, Latent Variable Modeling
Noam Epstein University of Illinois at Chicago Pharmacoepidemiology
Fusun Er Yeditepe University Alzheimer's Image Processing
Basri erdogan Bogazici University Alzheimer's disease, deep learning, cnn
Mahdiyeh Erfanian Ferdowsi University of Mashhad statistics. SPC, profile monitoring
Bradley Erickson Mayo Clinic imaging biomarkers
Elena Erosheva University of Washington Longitudinal, hierarchical, mixed effects
Tugce Ertuzun Mehmet Ali Aydinlar University AD, Controls, NGS, Genomics
Valentina Escott Price Cardiff University Polygenic Risk
Javier Escudero University of Edinburgh Machine learning, Decision support, biomarkers
Simon Eskildsen Aalborg University cortical thickness, brain mapping, segmentation
Taban Eslami Western Michigan University Alzheimer's, classification, Machine Learning
Sahar Esmaeeli Abbvie Alzheimer, imaging, Genetics
Soheil Esmaeilzadeh Stanford University deep learning course, Stanford university, class project
HECTOR ESPINOS-MORATO I3M institute of Detectors for Molecular Imaging CNN, multimodal imaging, classification, regression
Ana Espinosa Fundació ACE Cognition,
Ana Espinosa Fundació ACE SMC and cognition
Ferran Espuny Pujol University of East Anglia longitudinal cortical thickness, ANTs
Mohamed Essam HTI ADNI
ACHRAF ESSEMLALI Scil Lab, Sherbrooke University GCN, DEEP LEARNING, AD, CONNECTOME,
Mar Estarellas Garcia University College London Alzheimer, data-driven model, lifestyle
Kobra Etminani halmstad university Skull stripping ,prognosis of AD and Dementia
Choi Eunjeong Ewha Womans University deep learning, medical image, GAN
Paolo Eusebi University of Perugia csf biomarkers; data-driven models; disease progression
Chloe Eusebio California Polytechnic State University, San Luis Obispo wavelet transform, wavelet analysis, convolutional neural networks
Ignacio Evangelista Universidad Nacional de Rosario Database, Normative values, Machine learning
Dave Evenden Southampton Universiry Dementia, Disease Modelling, Healthcare Planning
Katrina Evtimova NYU neuroimaging analysis
Michael Ewers LMU amyloid, genetics
Paul Expert Imperial College London Graph Convolutional Neural Networks, Complex Networks
Hatim Ezbakhe UC Berkeley PET/MRI metric, causal factors
Peter Eze University of Melbourne Medical Image Steganography, MRI, Security
Ahmed Ezzat Cairo University machine learning, ANN, MRI, EEG
Ali Ezzati Albert Einstein College of Medicine Volumetric, MRI, Amyloid, cognitive decline
Nathalie Fadel Columbia University Mailman School of Public Health fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac
Ali Fahim UT data mining
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
Muhammad Faisal King Fahd University Tadpole Challenge Data
Sylvain Faisan Icube Image processing, pattern recognition
David Falta Harvard University Educational Use
Ariana Familiar UNIVERSITY OF PENNSYLVANIA machine learning, predictive modeling, diagnostics
bryan fan DICOM COMMITTE AD MRI analysis
Peihao Fan University of Pittsburgh Alzheimer's Disease; Machine learning; Biomarker;
ZHEN FAN Imperial College London Longitudinal amyloid tau
fanda Fan Institute Of Computing Technology Chinese Academy Of Sciences reasearch
Wenliang Fan Union Hospital, Huazhong University of Science and Technology BOLD data analysis
Weina Fan Qufu normal university Research the Alzheimer's disease
Yonghui Fan Arizona State University ADNI2-GO MRI data
Yong Fan University of Pennsylvania Pattern recognition; Machine Learning, Multi-site data
Joline Fan University of California, San Francisco unsupervised learning algorithms, early predictors
qingchen fan Northwest University brain age Alzheimer’s disease deep learning
Fan fanda Institute of computing technology, Chinese Academy of Sciences research
Yan Fang Shanghai University of International Business and Economics 7Yiffany
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
wang fang Zhejiang Pharmaceutical College 202020
ZHOU FANG Chinese University of Hong Kong Deep Learnining, Alzheimer's Disease
meng fanhua Shanghai no. 5 hospital hippocampal,VBM
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
David Fardo University of Kentucky Pathway-wide association, AD
Fadi Farhat New Jersey Institute of Technology machine learning, neural network, deep learning
Syed uzma Farheen VISTAS Alzheimer's
Gonzalo Farías Universidad de Chile synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Mohammadjavad Faridafshin Shiraz University image processing, AD, Classification, Machine Learning,
Hamza Farooq University of Minnesota Diffusion MRI, Structural graph analysis, Alzheimer's Disease
Danielle Farrar University of New Mexico MCI, fMRI, MRI, network analysis
Michelle Farrell Massachusetts General Hospital amyloid, cognitive decline, preclinical AD
Kurt Farrell Icahn School of Medicine at Mount Sinai Primary age-related tauopathy
John Farrell Boston University Medical School whole_genome_sequencing genetics imputation structural_variants
Lindsay Farrer Boston University School of Medecine gwas alzheimers meta-analysis adgc
Madeline Farron University of Michigan Medicine Neuroimaging, Alzheimer's Disease
maedeh fasihi ucf machine learning, classification, pattern recognition
Sina Fathi Iran university of medical sciences CDSS, Alzheimer's disease, deep learning
Alireza Fathian Tarbiat Modares University Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network,
Noel Faux IBM Research - Australia Biomarkers, prognosis, genomics, cognitive decline
Faiz Fauzan Singapore University of Social Sciences Progression of Structural Abnormalities in Autistic Brains
Ruben Fdz Universitat Jaume I Classification, Alzheimer
Marcelo Febo University of Florida diffusion MRI, Alzheimers, amyloid
Ebrahim Feghhi University of California, Los Angeles Machine Learning
Andrea Feher Tilburg University tau-PET, CSF
Franklin Feingold Stanford University BIDS
avi feldsher Brain and Behavior Research Institute deep machine learning mri cortical volume
Grazia Daniela Femminella Imperial College London inflammation; atrophy; AD; MCI
Jinwang Feng Northwestern Polytechnical University Alzheimer's disease, Feature extraction, Classification
Xinyang Feng Columbia University AD imaging biomarker
HONGBO FENG First Affiliated Hospital of Dalian Medical university aging
Zhichao Feng The Third Xiangya Hospital of Central South University fzc2018xyyx
Han Feng University of Texas Health Science Center at Houston Brain image
Brad Feng Capital Medidcal University Deep Learning; Alzheimer Disease
Junbang Feng CQMU 821727fjb
Qingxiang Feng Tulane University deep learning, sparse
Lin Fengyu drbrain train, deep learning model
Christine Fennema-Notestine UCSD MRI, thickness, morphometry, shape analysis, PET
Frederick Feraco Walt Whitman High School Brain, correlation
Eric Fernandez Christ Church Episcopal School ai, alzheimer's
Alberto Fernández Universidad Complutense de Madrid, Spain APOE4, Amyloidosis, cognitive performace
Elsa Fernandez University of the basque country patterns, fMRI
MIGUEL ANGEL Fernandez University of Cadiz PET, image, machine learning
Sara Fernandez Rodriguez-Cabello University of Salzburg aging, longitudinal, WMH, AD
Ricardo Ferrari Federal University of São Carlos image segmentation, contour models
Ricardo Ferrari Federal University of São Carlos 3D salient point, Deep Learning, Atlas of salient points
Clarissa Ferrari IRCCS stituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy AD, MCI, advanced statistical approach, machine learning
Fabio Ferreira University College London Machine learning, CCA, brain imaging, dementia
Victor Ferreira Federal University of Rio de Janeiro Convolutional Neural Network, Machine learning,Alzheimer’s Disease
Luiz Kobuti Ferreira University of São Paulo functional connectivity; resting state fMRI; aging
Hugo Ferreira Faculty of Sciences of the University of Lisbon Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Jennifer Fey (Erway) Wake Forest University machine learning, optimization, quasi-Newton methods
Lucas Fidon King's College London medical image registration
Mark Fiecas University of Minnesota fMRI, connectivity, longitudinal
Manuel Fiel IDIS MRI. Nieman Pick
Cassidy Fiford University College London, Institute of Neurology white matter disease, vascular risk factors
Michal Figurski University of Pennsylvannia UPenn, Leslie Shaw
Massimo Filippi San Raffaele Scientific Institute, Vita-Salute San Raffaele University diagnosis; learning algorithm; 3D convolutions; multimodal MRI.
Laura Filippi IRCSS San Martino Hospital Amyloid uptake in AD
Teresa Filshtein University of California, San Francisco genetics, Friday Harbor
Giorgio Finesi Sapienza Deep Learning
Elizabeth Finger University of Western Ontario NPI, MRI, PET
Florian Fischer Universtiy Medical Center Mainz Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Madalina Fiterau University of Massachusetts Amherst deep learning; MRI; multimodal data; disease trajectory; forecasting
Kathryn Fitzgerald Johns Hopkins School of Medicine brain age multiple sclerosis
Mohammad Fiuzy Iran University of science and thecnology mri
Evan Fletcher UC Davis Cognitive Reserve, Psychometrics Workshop
Mateusz Florkow UMC Utrecht Virtual CT; Deep learning; Paired CT/MRI
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
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
Ali foroutannia ferdowsi university of mashahd clustring
Parisa Forouzannezhad Florida International university MCI, AD, Neuroimaging
Chris Foster UT Dallas | Center for Vital Longevity Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Panagiotis Fotiadis Massachusetts General Hospital atrophy; cerebral amyloid angiopathy; alzheimer's disease
Kevin Fotso Tagne University of New Mexico 0WN82 Machine learning, Statistics, Deep Learning
Gregory Founshtein The hebrew University and the Hadassah Ein Kerem medical center Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
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.
Javier Franco Pérez Openanalytics FNIH Biomarkers Consortium
Mark Fraser Australian National University harmonized Hippocampal protocol, manual segmentation
Jordan Fraser USC 1633549291
Mark Frasier Michael J Fox Foundation CSF, biomarkers, neurodegeneration
Heather Frechette University of New Hampshire artificial neural networks, alzheimer's
Blaise Frederick McLean Hospital/Harvard Medical School resting state, perfusion,
Ben Freeze Weill Cornell machine learning, olfaction
Johann Frei TUM image registration, manifold learning, medical image classification
André Freitas Universidade do Minho Neuroimaging, MRI, Brain
Joshua French University of Colorado Denver principal components, isotropy
Jennifer French University of Maryland GWAS
Milana Frenkel-Morgenstern Bar-Ilan University Alzheimer's disease, CCR5
Yun Freudenberg-Hua Feinstein Institute of Medical Research AD genetics, loss-of-function variants
Brad Friedman Genentech, Inc. bioinformatics genetics
Christoph M. Friedrich University of Applied Science and Arts Dortmund SNP subset selection
Rasha FRIJI Ecole Nationale des Sciences de l'Informatique Data augmentation, GAN
Lars Frings University of Freiburg PET; Amyloid; FDG; Medial Temporal Lobe
Giovanni Frisoni IRCCS San Giovanni di Dio FBF - The National Center for Research and Care of Alz ADNI EADNI
Hans-Christian Fritz German Center for Neurodegenerative Disease basal forebrain, functional connectivity
Holger Fröhlich University of Bonn progression modeling
Karl Frontzek University of Zurich deep learning, alzheimer's, metabolomics
Pan Fu Taizhou First People’s Hospital Alzheimer's disease, synaptic degeneration, clusterin
Jiangpeng Fu HuaQiao University academic research
Aslan Fu BJUT MRI
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
Tatsuya Fukuda Chuo university classification, functional data, longitudinal data
Lawrence Fulton Texas State University machine learning
Brian Fulton-Howard Icahn School of Medicine at Mount Sinai PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS
Tsukasa Funane Hitachi, Ltd. AI, Machine learning
Ansgar Furst Stanford University Alzheimers, TBI, Veterans
Pedro Furtado Universidade de Coimbra medical imaging
Janakasudha G Sri Venkateswara College of Engineering Alzheimer's Disease, Brain image analysis, machine learning and deep learning
NAGARJUNA G NBKRIST deep learning, Alzheimer's Disease
Jin Gahm USC Surface mapping
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
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
Jacopo Gandolfo Università degli Studi di Genova wmh
amir hosein gandomi sahand university of technology traumatic brain injury, finite element method, 3d model
Michal Gandor Politechnika Krakowska AI, computer science
Rithvik Ganesh Jasper High School AD, machine learning, diagnosis
Sukruth Ganesh Thapar Institute of Engineering and Technology Deep learning, Big data, Feature selection
Mohit Gangwar Bhabha Engineering Research Institute, Bhopal, India Machine Learning
Reema Ganotra YMCA University of Science and Technology Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Linlin Gao Ningbo University longitudinal MRI, convolutional neural network, recurrent neural network
Yali Gao new york university risk factor
feng gao SHANGHAI MORROW AI CO.LTD TADPOLE
Xiang Gao PKU Alzheimer’s disease Machine Learning
Mengxia Gao The University of Hong Kong Convolutional neural network; Multi-modality; Predict; Alzheimer's; Cognitive
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
Ning Gao GXU ADNI
Yurui Gao Vanderbilt University functional connectivity
Yue Gao Harbin Engineering University Writing a paper.
ann gao Cyagen Biosciences Deep Learning
X. Raymond Gao University of Illinois at Chicago Age-at-onset, Genetics, Statistical methods, Polygenic risk score
Yuyuan Gao Guangdong General Hospital Alzheimer’s disease; Biomarker; Blood; spinal fluid
zhiao gao Guilin University of Electronic Technology graduation design
Fuxun Gao University of Shanghai for Science and Technology Alzheimer’s disease; Computer-aided diagnosis
Fei Gao University of North Carolina at Chapel Hill Biomarkers, Joint modeling
Xiao Gao University of California, San Francisco atrophy, cognition
Sara Garbarino Universite Cote d'Azure, Inria misfolded proteins, dynamical system models, disease progression models
Gracian Garcia Quiron PET; SPM; templates
Kara Garcia Indiana University School of Medicine surface registration, longitudinal, cortex, shrinkage, biomechanics
Miguel Garcia Boehringer-Ingelheim historical controls, placebo, disease modelling
Yiliet Garcia University of Brasilia at Gama Compressive sensing, PET, medical imaging, prior information
Julián García Universidad de Sevilla PET
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Juan Manuel García Varilla MicroWebServices, SL alzheimer, early diagnose, machine learning, pattern detection, PET, imaging
Jord Garcia-Ojalvo Universitat Pompeu Fabra Brain dynamics, relaxation dynamics, potential landscapes.
Gaurav Garg University of Ulster Modeling, EEG, fMRI, Alzheimer's, AD
Lalit Garia BT Kumaon Institute of Technology Dwarahat Alzheimer Disease
Valentina Garibotto Geneva University Hospitals FDG PET, tau, Ab42, CSF
Diego Garrido Centre for Genomic Regulation multivariate regression, GWAS, QTL mapping, Alzheimer's disease
Eduardo Garza-Villarreal Instituto Nacional de Psiquiatria diabetes, imaging genetics, neuroimaging
Christian Gaser Jena University Hospital brainage, vbm
gagasgsag gasgasgags NIS ML
Grant Gasser Baylor University data science, machine learning, research project, neural network, R, Python
Davide Gaudesi University of Milano-Bicocca MRI, EDC, upload
Vincent Gaudet University of Waterloo iterative algorithms, belief propagation, stochastic computing
Pramod Gaur Ulster University, United kingdom MRI
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Jodie Gawryluk University of Victoria white matter, MRI, DTI, cognition
Pastel Gbetoho Harvard Extension School Harvard Extension School machine learnin project
XINTING GE University of Southern California AD, Image process
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
changrong ge Karolinska Institutet biomarker
Shufei Ge Simon Fraser University Associations study, Group Lasso ,spatial correlation structures
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
Claudio Gentili University of Padova SVM, Depression, Cognitive functions
Claudene George, MD, RPh Albert Einstein College of Medicine ACE Inhibitors, Dementia
Konstantinos Georgiadis University College London computational models, simulation
Richard Gerkin Arizona State University teaching
Anda Gershon Neurocentria, Inc. AD, risk factors
Neil Getty ANL tbi, transfer-learning, medical-image-analysis
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
Amin Ghaemmaghami Mashhad university of medical science Alzheimer
Hadi Ghahremannezhad New Jersey Institute of Technology Random Forest, Alzheimer's disease
Fawaz Ghali LJMU deep learning
fatemeh ghanad PNU ALZHEIMER DISEASE, CLASSIFICATION
Mohsen Ghanbari Erasmus University Medical Center NFL, GWAS, Alzheimer's disease
Saoussen gharsallah ISIM Gabes WMH, segmentation
Saoussen gharsallah ISIM Gabes WMH, Segmentation
Mehdi Ghasemi iran university of science and technology alzheimer's disease(AD)
Ghazale Ghorbanzade Isfahan University of Technology Alzheimer’s Disease, DTI Imaging
Nachiket Ghorpade Pune Institute of Computer Technology CNN, Deep learning
Debasish Ghose University of Agder AI
Sukanta Ghosh Jadavpur University Alzheimer's disease Soft Computing
Luca Giancardo University of Texas Health Science Centerat Houston machine learning, longitudinal connectomes
Trung Giang Tay Bac University Alzheimer Disease MRI
Laura Gibbons University of Washington Genetics, using ADNI data as a teaching example, Friday Harbor
Jesse Raphael Gibbs National Institute on Aging, NIH genetics neurodegeneration
Gary Gibson Weill Cornell Medical College conversion
Lasse Giil Haraldsplass Deaconess Hospital Mild cognitive impairment; external validity
Yekaterina Gilbo University of Virginia MRI, GAN, Computer Vision, Deep Learning
Sascha Gill University of Calgary Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging,
Daniel Gillen UC Irvine phase II, power, enrichment, tau, abeta
Peter Gillespie University of Ulster data science, classification, dissertation
Gayakshika Gimhani Informatics Institute of technology Machine Learning
Alessandro Giordani Università Cattolica del Sacro Cuore epidemiological studies, risk factors
Joseph Giorgio University of Cambridge Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Tania Giovannetti Temple University functional abilities, informant
Diana Giraldo Universidad Nacional de Colombia Morphometric Analysis
Kirti Chandra Giri Indira Gandhi Delhi Technical University For Women Cognizance
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
Helia Givian - 0440571898
Jacob Gjerdalen University of Victoria DTI
DESPINA GKATZIOURA NCSR Demokritos Internship, Demokritos
Scott Gladstein AbbVie image analysis, machine learning, patient stratification, clinical trial design
Kelly Glavin University of Pittsburgh alzheimers, tract, metrics
Brad Glazier Indiana University Imaging, Genetics, Biomarkers
M. Maria Glymour UCSF Friday Harbor; psychometrics; cognitive reserve; using ADNI data as a teaching e
Alison Goate Icahn School of Medicine at Mount Sinai Genetics, using ADNI data as a teaching example, Friday Harbor
Krzysztof Gociewicz Jagiellonian University disorders of consciousness, consciousness, resting-state. dti
TRIPTI GOEL National Institute of Technology, Silchar feature extraction, classification
Gadi Goelman Hadassah Hebrew University Medical Center fMRI, coherence, directed pathways
Jantje Goerdten University of Edinburgh Dementia, risk prediction, middle-age
Aditya Gogoi Anthem Inc. Deep Learning; Ensemble; onset Dementia;
Sheng-Yang Goh UCSF frontotemporal dementia
Suril Gohel School of Health Professions, Rutgers University PET, MRI, Alzheimer
Durmus GOKCEBAY Teias MRI Data, Alzheimer's patients, NN
Durmus Gokcebay Teias MRI Data, Alzheimer's patients, NN
Daniel Golden Arterys machine learning, segmentation
Danielle Goldfarb Banner Alzheimer's Institute sleep, ventriculomegaly
Felicia Goldstein Emory University task engagement, recognition memory, normal cognition, MCI, AD
Ali Golestani University of Toronto segmentation, deel learning, convolutional neural network
Laleh Golestani Rad Northwestern University finite element modeling, tDCS
Sepehr Golrizkhatami Fraunhofer Institute Event-based modeling, mechanism validation
Jesus Gomar Northwell Health Amyloid PET
Isabel Gomez Consorci Sanitari Integral Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
Marc Gómez The Bonn-Aachen International Center for Information Technology (b-it) Deep learning; time-series; VAE;
Jon Ander Gómez Adrián Universitat Politècnica de València Deep Learning; Semantic segmentation of medical images; Predictive models;
JUAN PABLO GOMEZ GONZALEZ QUBIOTECH HEALTH INTELLIGENCE MRI volumetry, Alzheimer's Disease
Vanessa Gomez-Verdejo Universidad Carlos III de Madrid machine learning, mri
yasmin Gonella Ms cognitive reserve, cognitive reserve measurement,
nanjie gong Shanghai Research Center for Brain Science and Brain-inspired Intelligence fMRI
Zhaowen Gong University of Stuttgart 3D Registration, CNN
Hoyt Gong University of Pennsylvania Precision Medicine
Zhaowen Gong University of Stuttgart 3D Registration, CNN
Liang Gong Chengdu Second People's Hospital APOE gene; functional connectivity; AD; Aging
Enhao Gong STANFORD UNIVERSITY Deep Learning, Compressed Sensing
Kuang Gong Massachusetts General Hospital Deep learning, AD, MCI
Siliang Gong University of Pennsylvania Pairwise screening, pathway analysis, variable selection
Venkateswarlu Gonuguntla Samsung Medical Science Research Institute graph convolution, fMRI
Edgar González Universidad de los Andes Alzheimer
David Gonzalez University of Texas Health Science Center at San Antonio FAQ, NPI, psychometrics
Willy González Universidad de El Salvador Profesor, Psiquiatria, Neurociencias
Gabriel Gonzalez-Escamilla University Medical Center of the Johannes Gutenberg-University Mainz Aging, neurodegeneration
Consuelo Gonzalo Martin Universidad Politécnica de Madrid Dementia, Alzheimer, image biomarkers
Max Goodman UCLA blood, CSF, biomarker, PET, MRI
Abbey Goodyear National Institutes of Health - NIBIB DTI
Luise Gootjes-Dreesbach UCB Bayesian Networks
Marcia Gordon Michigan State University senescence, CDKN2A, microglia
ELENA GORELLI UNIVERSITà DEGLI STUDI DI SIENA Neural Network, CNN, Siamese network, MRI images, Alzheimer
Pietro Gori Télécom ParisTech T1, DWI, statistical shape analysis, education
Richard Gorniak Thomas Jefferson University MRI, convolutional neural networks, medial temporal sclerosis
Juan Manuel Gorriz University of Granada Image processing, Random forest
Mattias Göthlin University of Gothenburg, Institute of Neuroscience and Physiology Classification, prognostic accuracy, demography
Assaf Gottlieb UTHealth AD, FTD
Daniel Gourdeau Université Laval Radiomics,AD prognosis, machine-learning, texture analysis
Palak Goyal Thapar Institute of Engineering and Technology, Patiala Alzheimer's Disease
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
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
Daniel Graziano Harvard University regression, modeling
Martin Greaves Domino Printing Sciences Machine Learning
Elisabetta Grecchi GE healthcare AD, amyloid, prediction
Elaine Green Plymouth University L1 elements, retrotransposons
Clint Greene UCSB deep learning, machine learning, image synthesis, segmentation
Sara Greenfield UC Davis metabolites genome
David Greenstein Multimodal Imaging Services Corporation Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's
Sarah Gregory University of Edinburgh Cortisol Diabetes HbA1c
Michael Greicius Stanford University genes, structure
Stuart Grieve Heart Research Institute data-fusion, neuroimaging, concussion, depression, dementia, brain structure
Joshua Grill UC Irvine informant
Enrico Grisan Unversity of Padova deep learning, neural networks, survival analysis
Anthony Griswold University of Miami whole genome sequencing, ABCA7, VNTR
Jenna Groh Indiana University School of Medicine Tau, Alzheimer's Disease
Colin Groot VU University medical center Alzheimer's disease, Voxel-based morphometry, psychometrics
Irme Groothuis University College London microbleeds, deep learning
Giuseppe Grossi Ryerson University Deep Learning, Computer Vision, Machine Learning
Matteo Grudny University of Florida diffusion magnetic resonance imaging, functional connectivity metrics
Arne Grundstad AbbVie AbbVie ADNI
anjani gss NIT,Andhra Pradesh machine learning project
Youzhi Gu Zhejiang University AD survey
Lihua Gu Southeast University Alzheimer's disease
Xuejun Gu The University of Texas, Southwestern Medical Center radiation, representation learning
Sichun Gu Longhua Hospital, Shanghai University of Traditional Chinese Medicine Parkinson's disease
Nannan Gu Shanghai Mental Health Center cognitive impairment, Alzheimer’s disease, data-mining techniques
Yi Guan Boston University School of Medicine Imaging, MCI, subtypes
Ji Guang Soochow University GAN, MRI, CT
Cecilia Guariglia Università Sapienza dementia, cerebellum, mri
santwana gudadhe PCCOE alzheimer disease
Egle Gudziuniene Lithuanian University of Health Sciences Alzheimer's disease, early diagnostics, dementia, brain damage
Daniel Guellmar Jena University Hospital deep learning, MRI, biomarker
Pamela Guevara University of Concepción white matter bundles, anatomy, machine learning
Rajashekhar Gugulothu no company cancer
Lênon Guimarães USP GAN, MDD, Graph Analysis
Pedro Guimarães Saarland University biomarkers, deep learning
Abel Guimaraes Ryerson deep learning, Alzheimer’s Disease
sharvari gujja Wuxi NextCODE machine learning, deep learning, genetic drivers
Jyotasana Gulati Alkahest Inc. statistical learning, Alzheimers, Plasma
Ananya Gulati Illinois Institute of Technology, Chicago Alzheimer's, Machine Learning, Algorithms, Analysis, Drug, Bacteria, Gene
Alisha Gumber New York University R data analysis alzheimers
Melisa Gumus University of Toronto Computational Neuroscience, Modelling Alzheimer's Disease, COBWEB
TAMIL INIYAN GUNASEKARAN Chosun University SNP, GWAS, MRI, pathogenesis, neuronal damage.
TAMIL INIYAN GUNASEKARAN Chosun University Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease
Nishan Gunawardena University of Colombo Alzheimer’s Disease, Pre-detection, MRI data, image processing
Roger Gunn Imperial College London Mathematical Analysis, Classification, Machine Learning
Jia Guo Columbia University AD, MRI
Lei Guo Jiangnan University ADNI; Alzheimer’s disease diagnosis
Jiaming Guo Massachusetts General Hospital ordinal regression, progression of AD
Hengtao Guo Rensselaer Polytechnic Institute Deep Learning, Computer Vision
Yusheng Guo South China University of Technology asd123....
Gavin GUO The Hong Kong Polytechnic University machine learning; transfer learning;AD
Min Guo Shanxi University of Finance and Economics Baysian networks, brain connectivity
haoming guo The First Affiliated Hospital of Chongqing Medical University MRI
Xiaoyan Guo Qiqihar University deep learning medical imaging
Yanrong Guo Hefei University of Technology classification , neuroimaging
weiping guo Beijing Normal University classfication,Euler Elastica Regularized Logistic Regression
Bin Guo Vanderbilt University White Matter, BOLD, Lag time
gaurav gupta Shoolini University Alzheimer image segmentation machine learning
Pranav Gupta IIT BHU Results comparison with existing results
Navin Gupta Indian Institute of Technology, Guwahati clinical subtyping, data driven, symptoms, independent component analysis
Yubraj Gupta Chosun university CNN, Alzheimer disease
Smriti Gupta Nitj Alzheimer disease, MRI image
Ashish Gupta Independent Researcher Machine Learning, Deep Learning
Shantanu Gupta University of Wisconsin-Madison atlas construction, template generation, deep learning
Sanskriti Gupta The NorthCap University Alzheimer, fMRI, Deep Learning
Gaurav Gupta USC Viterbi School of Engineering Alzheimer
Aditi Gupta KUMC Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI
Vinay Gupta University of Manitoba Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Rishab Gupta SUNY Downstate Medical Center Alzheimer Disease, Outcome, ethnicity
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,
Robert Gurke University Frankfurt homocysteine, lipidomics
Mahmut Edip Gurol Massachusetts General Hospital CAA, cortical thickness, controls, AD
Jose Gutierrez Columbia University arterial diameters, beta amyloid, tau
Carlos Gutierrez Imij Inc Structural MRI
Nuria Gutiérrez Sánchez Universidad Politécnica de Madrid Research, neuroloimaging
Boris Gutman University of Southern California DTI, diffusion MRI, Alzheimer's, human connectome
David Gutman EMORY UNIVERSITY mri dti adni
Holly Guvenli Okan University MCI, fMRI, entorhinal cortex, hippocampus
Kadir Güzel Yildiz Technical University Machine Learning
wang h qfnu research
J H SD Univ. Image processing; feature extraction
x h xia men university Alzheimer’s disease
Vanamala H Rajanna PES University texture, connectivity
Jarrod Haas Simon Fraser University imaging, computer vision, synthetic data, machine learning
Haroun Habeeb University of Illinois at Urbana Champaign Machine Learning
Mohamad Habes University of Pennsylvania AD-like patterns, Brain Aging, White Matter Hyperintensities
Tetiana Habuza UAE University brain atrophy,VBM
Mallory Hacker Vanderbilt University Medical Center PDRP, PDCP, ADRP, FDG-PET
Seyyed Mohammad Hassan Haddad University of Western Ontario Resting-state fMRI, Amyloid PET, Brain Activity
Kirsten Hagen Oregon Health & Science University plasma, oxylipins
Maryam Haghshomar Tehran University of Medical Sciences Machine learning, Alzheimer disease, classification
Jarang Hahm Dongguk University Ilsan Hospital MCI, AD
Alice Hahn Samsung Medical Center Alzheimer's
Yan Hai Georgia state university confidence interval, sensitivity
Sun Haijing Northeastern University sunhaijing798010
Ye HaiLi CASIA CV
habtu hailu Mangalore university medical image
wang haixing Southeast University deep learn , MRI
Sun HaiYang Hangzhou Normal University Inter-Scanner Reliability PET SUV
Adam Hajari Pandora Media classification sampling
vedant hakande iit indore want to build algorithm for classification of disease
Navneet Hakhu University of California, Irvine enrichment, model misspecification, mean-variance, bias, clinical trials
zahra hakimelahi islamic azad university tehran branch idea-alzheimer's disease
hamed hakkak Islamic Azad University mri image
Kim Hakyeong Seoul National University Hospital alzheimer's disease
Omar Halawa Harvard Medical School IADL, neuropsychiatric symptoms, tau PET
Drew Halliday University of Victoria DTI, neuropsychology
Amy Halpin University of Maine CSF biomarkers, cut points, demographics
Andac Hamamci Yeditepe University VBM teaching
Shah Muhammad Hamdi Georgia State University functional brain networks, mildly cognitive impairment, graph data mining
Fadel Hamed Universidad de Granada research matlab algorithm
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
Sultonmurod Hamroev Anhui University of Technology MRI, Alzheimer's, Neural Networks
hentabli hamza Universiti Teknologi Malaysia medical image segmentation, Alzheimer’s Disease
Maryam Hamzelu Tarbiat Modares University Deep learning, machine learning
Deng-Yu Han National Taiwan University Hospital nighttime behavior; sleepiness; beta-amyloid; PET.
Yu Han University of Vermont machine learning, feature prediction, diagnosis detection
Shizhong Han The University of Iowa GWAS, heritability, sMRI, and fMRI
Ruizhi Han University of Macau machine learning,Disease diagnosis
Duke Han USC cognition, neuroimaging
wenzhong han Shenzhen university segmentation;hippocampus
Xiangmin Han SHU deep learning ,machine learning
Liang Han Chongqing University early detection, MRI, MCI, AD, Artificial Intelligence
Shuanglin Han Johns Hopkins University NGS analysis; rs17125944
yujeong han konyang university deep running
Yutan Han Shanghai University of Finance and Economics 2015Hyt0613
Xiangmin Han SHU DNN
fei han Shanghai Maritime University Alzheimer’s disease , mild cognitive impairment ,machine learning approach
Kun Han Harbin Engineering University Deep learning; AD
Francis Hane Lakehead University AD prediction, APOE4, Bayesian
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
Catherine Hanson Rutgers University fMRI, brain networks, cognitive
Xu HanXiao Xidian University risk gene,biomarker,
JIANG HAO NEU 12345642
Zhiying Hao University of Electronic Science and Technology of China machine learning ; medical image processing
Bai Haoyue Central South University 272563575db
Matthew Hapenney USC glucose, pet analysis
Clara Happ Ludwig-Maximilians-University Munich Functional Data Analysis, Functional Principal Component Analysis
Rafi Haque Emory University Alzheimer's, Biomarkers, Cognitive Asessments
Oscar Harari Washington University in St Louis Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau
Vida Harati Shahed University deep learning classification
Seth Austin Harding Reliance Biosciences artificial intelligence in dementia alzheimer's treatment therapy AD score
Evan Hare University of Southern California Early Detection, Amyloid-Negative, TDP-43, Amyloid, Tau, Biomarker
Sethulakshmi Haridas Viswajyothi College of Engineering and Technology Alzheimers disease stage recognition
Ankur Haritosh Jaypee Institute of Information Research, Brain diseases,classification
Akdes Harmanci UTHealth at Houston Single cell
wade harper Harvard MEdical School alzheimer's disease, protein misfolding
Amal Harrati Stanford University Genetics, using ADNI data as a teaching example, Friday Harbor
Michael Harrington Huntington Medical Research Institutes Preclinical AD, neurodegeneration, MRI, CSF, amyloid
Jacqueline Harris University of Calgary Machine Learning, Neuroimaging, Psychiatry
Breanna Harris Texas Tech University cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Marc Harrison Stanford University resting-state fMRI, community detection
Danielle Harvey Unversity of California, Davis biostatistics
Brandon Harvey Emory University Alzheimer's Disease, Quasi-Periodic Potentials, fMRI, connectivity
noorul hasan National Institute of Technology Image Segmentation
md tasnimul hasan University of potsdam Image classification
Khader Hasan University of Texas Health Science Center at Houston diffusion tensor, CSF
Md. Mahmodul Hasan Mawlana Bhashani Science and Technology University AD, CNN, SVM, AD Detection
Jonathan Hasbani ITBA Neural networks, machine learning, Alzhei
nazi hashem azarbaijan university alzheimer dataset
Arsalan Hashemiaghdam Yale University Cognition, Alzheimer's disease
Jakub Hasiec Warsaw School of Economics Predictive modelling, data mining, Alzheimer's disease
Nada Hassan Ain Shams university Bioinformatics , Machine learning framework for early MRI-based Alzheimer's con,
Kilian Hasselhorn University Koblenz-Landau power analysis; starting point
Sean Hatton UCSD MRI, data harmonization
Marc Haut West Virgnia Univesity ultrasound
Ghazal Havoutis Nova Southeastern University biomarker, diagnostic performance, Alzheimer's detection, MCI
Toshihiro Hayashi University of Tokyo MRI, psychology, biomarker
Jasmeet Hayes The Ohio State University Parkinson's disease; cortical thickness; genetics
Shereif Haykal UMCG diffusion-weighted imaging; optic nerves; NODDI; DKI
Chris Hayward Newcastle University Cognition, Structural connectivity, Brain, MCI, IQ
RUHUL AMIN HAZARIKA NEHU Alzheimer detection using brain MRI
Nalini Hazra USC Alzheimer's
Yao He University of Utah PET, FDG-PET, Focal AD
mengya he Sichuan University medical research
Ke He Tsinghua University Registration, deep learning
Zhen He La Trobe University deep learning, computer vision
xiaoxi he Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji 861130
Siyuan He Changchun University of Science and Technology computer aided diagnosis, deep learning
Shuting He State Key Laboratory of Industry Control Technology, College of Control Science AD survey
qi he Tianjin University method evaluation
Tao He San Francisco State University set-based association, pathway analysis
Huiguang He Institute of Automation, Chinese Academy of Scicences fMRI, DTI, Medical Image Processing
xiaozheng he zhujiang hospital PD csf BIOMARKER
Linchen He New york university Association test, binomial mixture model, complex disease, genetic heterogeneity
Qin He TUT AD
zhang he Chongqing University of Posts and Telecommunications image-to-image, multi-modal medical image
Xuanning He Australian National University Dementia, Cognitive Function, Lifestyle, Cognitive Reserve
roh hedayati Esfahan University MCI+MRI+PET
Trey Hedden Massachusetts General Hospital Genetics, using ADNI data as a teaching example, Friday Harbor
Dennis Hedderich Technical University of Munich Magnetic resonance imaging, cortical thickness, positron emission tomography
Adrian Heeger University Hospital Düsseldorf, Germany brain atrophy, automated workflow, brain aging, brain volume
Joseph Heenan IQVIA Statistical relational learning, Ensemble Methods
Mohamed Hefny Queen's University Medical Data Analysis, MUltisource data integration, Disease Understanding
Madhusudan Hegde Stanford University Research
Brianna Heggeseth Macalester College teaching
Ashley Heinson UCB Clustering, Biological Mechanism, Neurodegenration
Luca Heising Tilburg University Machine learning, Deep learning, Early detection, Alzheimer's
hadeer helaly mansoura alzheimer
Jarle Helle Western Norway University of Applied Sciences (HVL) Neural network, Brain age, Predict, MCI, Alzheimer's disease
Samuel Henderson Accera Inc APOE, ADAS-Cog, MMSE
Andrew Henney JCU Generative Adversarial Networks
Rui Henriques Instituto Superior Técnico, Universidade de Lisboa Classification, Clustering
Wiranthe Herath Southern Illinois University Carbondale Regression
Renato Hermoza Aragones The University of Adelaide Deep learning, reinforcement learning, survival prediction, biomarkers
Antonio Hernandez VerSci Alzheimer;s
Gerson Hernandez University of Arizona Alzheimer's, biomarkers, neuroimaging
Monica Hernandez University of Zaragoza Computational Anatomy
Yamid Fabián Hernández Julio Universidad del Sinú Fuzzy inference systems
Hector Hernandez Saucedo University of California, Davis cognitive reserve, usin ADNI data as a teaching example, Psychometrics Workshop
Liz Herrera ITESM Reconstruction MRI
Nitsa Herzog Birkbeck University of London Mild cognitive impairment, Alzheimer
Nitsa Herzog Birkbeck University of London MCI, Alzheimer, machine learning
Jonathan Hess SUNY Upstate Medical University Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett Vanderbilt University Tensor-based analysis, Diffusion MRI
Kilian Hett University of Bordeaux Patch-based biomarkers, hippocampus, hippocampal subfields
Nargess Heydari Beni University of Waterloo Brain, Imaging, MRI, CT, PET
Derrek Hibar Genentech, Inc imaging genetics, cognitive decline, robust statistics
Tanisha Hill-Jarrett University of Michigan cognitive reserve, using ADNI data as a teaching example, psychometrics workshop
Frank Hillary Pennsylvania State University hyperconnectivity, MCI, risk, neurodegeneration
David Hilman Imperial College London Random Forest, KNN, SVM, Progression
Naoki Hirabayashi Osaka Prefecture University Neural Network
Daisuke Hirahara Kagoshima Medical Technology College artificial intelligence
idir hired fortia FASTER R CNN
YASHAS HIREMATH Case Western Reserve University ABIDE
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
Dylan Ho CUHK Atlas, AD, Asia
Yi-Yun Ho Cornell University machine learning
Ngoc-Huynh Ho Chonnam National University Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
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
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 Hippocampus, Ventricle, MR, freesurfer
Robin Holmes University Hospitals Bristol Machine learning, VBM
Henne Holstege Amsterdam UMC Genetics, Alzheimer
Vincent Leonard Holstein University of Münster Multiple Sclerosis, Transfer learning
Chae Moon Hong Kyungpook National University Hospital Amyloid, Alzheimer, white matter hyper intensity
Xuesong Hong CSU biomedical research
junyong hong Dongseo University machine learning
junyong hong Dongseo University machine learning
Ye Hong Sichuan University brain connectome
chen hongjie Xiamen University Of Technology MRI Reconstruction
liu hongli Beijing university of technology research,MCI,classification
zou hongliang Nanjing University of Science and Technology research
Yi Hongyuan zhongshan hospital,shanghai AD
Lawrence Honig Columbia University amyloid
Bradley Hooker AbbVie Machine Learning Texture-Based Analysis tau PET
Masoud Hoore Helmholtz Center for Infection Research equation-based modeling, systems immunology, multi-scale modeling
Paramate Horkaew Suranaree University of Technology Image Processing
Russ Hornbeck Wash Univ Sch Med - STL Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
William Horne IUPUI Prediction, Machine Learning, EHR
Kyla-Louise Horne University of Otago Parkinson's disease, MRI, ageing, machine learning, biomarkers
Steve Horvath University of California Los Angeles DNA methylation, SNP, epigenetic age, epigenetic clock, brain volume, MRI
Amirhoshang Hoseinpour Dehkordi IPM Machine Learning, Neural Networks
MD.Ali Hossain MIU Deep learning, CNN, RNN
Md. Imtiaz Hossain Islamic University, Kushtia student, masters project, academic purpose
Md Sajjad Hossain North western university,Khulna thesis,research
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
Jia Hou Hangzhou Dianzi University brain network, classification
Jiaxin Hou Northeastern University Computer-aided Diagnosis of Alzheimer's Disease
Tingting Hou 河南大学 Data sets
Xianxu Hou Shenzhen University image to image translation
Beibei Hou Beijing University of Posts and Telecommunications medical image analysis
Fatao Hou Shanghai Jiao Tong University Alzheimer Disease, Mild Cognitive Impairment, Magnetic Resonance Imaging
Alexander Houck Columbia University Medical Center GWAS, ICAM-1, White matter hyperintensities, tau, amyloid-beta
Katherine Houghton RTI Health Solutions biomarker, natural history, cost effectiveness
Imane Houmir Miss Alzheimer's symptoms
Erin Householder Washington University School of Medicine : As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
Taylor Howell UCSF online validation
James Howlett Medical Research Council EPAD Risk Modelling
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
Ping-Chen Hsieh National Taiwan University adnideeplearning
Yi-Hsiang Hsu HARVARD MEDICAL SCHOOL GWAS, NGS, Machine learning, risk prediction
Li-Ming Hsu UNC at chapel hill gaphy theory, machine learning
TunWei Hsu Taipei Veterans General Hospital AD
TING JUI HSU National Chiayi University timmy70267
Ming Hsu University of California, Berkeley fluency, semantic memory
Zong-Kai Hsu Graduate Institute of Biomedical Sciences, China Medical University 2alxggdu
Yu Hu South China University of Technology Alzheimer's Disease detection; machine learning; data mining
Yang Hu South-Central Minzu University classify and detect Alzheimer's disease
Tom Hu UC Berkeley CNN, Tensor, Regression, Deep Learning
Rui Hu Oklahoma State University privacy, federated learning
xiaoyu hu peking university fpca
Jiazhen Hu University of Melbourne Image Segmentation, Image Synthesis
Lingjing Hu Capital Medical University Texture analyze, VBM
Yanshi Hu Zhejiang University Parkinson's disease / motor symptoms, Alzheimer's disease
jialin hu shanghaijiaotong university neural circuit
SONG HU METROHEALTH Segmentation
yuanyuan hu Yunnan University deep learning, medical images, computer-aided diagnoisis system, mental health
Nan Hu Genentech biomarker; disease progression
Mingyue Hu Central South University MCI, AD
Mengjie Hu Zhejiang University In-deep learning,cognitive impairment
Helen Hu C2N Diagnostics, LLC fluid biomarkers
Tao Hu Delft University of Technology Alzheimer's disease detection via fMRI image
helen hu SHU AD diagnosis
Qing Hu Northwestern University Machine learning solution, risk of Alzheimer
Shunbo Hu Linyi University Image registration and segmentation
Xiaonan Hu Sinovation Ventures MRI
Chang Hu University of Illinois at Urbana-Champaign neural network, longitudinal prediction
Xuefang Hu Hebei University AD NC difference
Jen Hu Chung Shan Medical University Resting state fmri
Jingyu Hu East China University of Science and Technology Multimodal medical Image
Helen Hu SHU investigation; algorithms
yanting Hu Xinjiang Medical University medical image enhancement; deep-learning method
wanqi hu xmu AD;mci;deep learning
Jinlong Hu South China University of Technology brain diseases diagnosis, machine learning algorithm
Sing Hu Sun Yet Sen University deep learning
Qiang Hu Nanchang Hangkong University huqiang071635606
jiaxin hu Zhongan Company ADNI
Rui Hua Southeast University deep learning,multimodal imaging,CNN
jiang hua Liaocheng University resting state fMRi
HUA HUA Kunming University of Science and Technology fMRI,DFC,Brain network
Jia Hua SUNY at Buffalo Early stage, diagnostic test
Tao Hua Huashan hospital, Fudan university Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Nancy Huaman Mamani UNICAMP ontology, alzheimer disease
Alexandra Huamani Pontificia Universidad Católica del Perú CNN, MRI, Brain
lao huan GuangXi University deep learning;medical images;Alzheimer's disease
Meiyan Huang Southern Medical University association anlysis
Chin-Wei Huang National Cheng Kung University alzheimer's disease
Yuhui Huang University of North Carolina at Chapel Hill Machine learning, image recognition, natural language processing
He Huang University of Queensland m6A, AD
Shaojun Huang Shanghai Maritime University fMRI; brain network; disease classification
Xianzheng Huang University of South Carolina Mode regression, prediction, regressor
Zhichun Huang University of Wisconsin-Madison FDG PET, ASL Perfusion, Deep Learning, Generative Model, GLOW
Jianpan Huang City University of Hong Kong Alzheimer's disease, deep learning
Suqi Huang Sun Yat-sen University fMRI,AD
huaidong huang The Second Affiliated Hospital of Shantou University Medical College, China Alzheimer’s disease, machine learning
Yali Huang Hebei University white matter; fMRI
Biwei Huang Carnegie Mellon University Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
Zhen Huang Tongji University MOCA
Teng-Yi Huang Taiwan Tech deep learning
Jingwen Huang University of Electronic Science and Technology machine learning
shangfo huang Beihang privacy-preserving
Huijun Huang Xi'an Jiaotong University AD; deep learning; biomarker; pathway
Chu-Chung Huang National Yang-Ming University white matter lesion
Rubby Huang Cornell University 1234567890
Sihui Huang The University of Texas at Dallas Big Data, Machine Learning
Peiyu Huang Zhejiang University CBF, network
Edward Huang University of Illinois at Urbana-Champaign Network integration, EMR analysis
Haiqing Huang University of Pittsburgh amyloid, PET
Chao Huang UNC multiscale adaptive regression model shape analysis
Susie Huang Massachusetts General Hospital Deep learning, super-resolution
Xifen Huang Yunnan Normal University gamma frailty model
Shuaihui Huang South China Agricultural University Alzheimer's disease
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
Cedric Huang UESTC Machine learning
Sharon Huang Stanford Linear Accelerator Center Stanford, AD, Machine learning, Bayesian Statistics
Sikai Huang Columbia University AD, CNN
Qi Huang Huashan Hospital spatial normalise
Jianpan Huang City University of Hong Kong MRI, AD, deep learning
Yunyou Huang Institute of Computing Technology, Chinese Academy of Sciences classify, predict, Alzheimer's disease
Henghua Huang Beijing University of Chemical Technology GAN
weijie huang Beijing Normal University AD biomarker machine learning
Malo Huard Paris-Sud Deep learning
Manuel Huerbin MIAC AG Morphometry
Andrew Hufton Springer Nature data-peer-review metabolomics
Jacob Huh UC Berkeley anomoly detection
Frank Hui Burnaby North Secondary School Convolutional Neural Network, Glioblastoma Multiforme, MRI scans, healthy brains
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
Noemi Hummel Analytica Laser disease modelling
Melissa Humphries The University of Adelaide Missing data, network analyses, generalised linear models
Guanhua Hung Tunghai University Early Diagnosis,Early Diagnosis
Hsing-I Hung National Chiao Tung University machine learning research survey bioinformatics
Xin Hunt SAS Institute Inc. machine learning, transfer learning, predictive model
Zhiguang Huo University of Florida statistical methodology, clustering algorithm, Alzheimer’s disease subtypes
Hans-Jürgen Huppertz Swiss Epilepsy Centre MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
Aamira Huq University of Melbourne/ Royal Melbourne Hospital Dementia polygenic risk score, resilience
Boyoung Hur Clemson University ADNI
Zain Hussain University of Edinburgh Machine Learning
renad hussain King abdulaziz university RENAD
R. Matthew Hutchison Biogen Tau, Amyloid, functional connectivity, brain dynamics
Kevin Huynh Baker Heart and Diabetes Institute lipidomics, metabolomics
Seong Jae Hwang University of Wisconsin-Madison longitudinal, connectivity, amyloid, deep learning, uncertainty estimation
Inyong Hwang Korea University Deep Learning, Image Processing
Jihye Hwang Asan medical center time analysis
Heungsun Hwang McGill University imaging genetics; statistics, bioinformatics
Emma Hyberts Boston University vascular health, Alzheimer's Disease
JUNGMOON HYUN Northwestern University- Feinberg School of Medicine Aging, dementia, brain, clinical data
kim hyunwoo korea university brain recognition Alzheimer
Leonardo Iaccarino University of California San Francisco dementia, age, clinical progression, MRI, FDG-PET, diagnosis, prognosis
alfredo iacoangeli king's college London telomere, bioinformatics , NGS , WGS
Esther Ibanez ISI Foundation topological data analysis
Olga Ibragimova ChemRar Avineuro, ChemRar, Alzheimer, AD, Dementia
Hamza Ichchou Ecole Centrale de Nantes Deep learning, machine learning, MRI
Samuel Iddi Alzheimer's Therapeutic Research Institute of USC ADNI, TADPOLE, Alzheimer's
Samuel Iddi University of Ghana Alzheimer's, Joint Models, Prediction, Statistical models
Jaime Ide Yale University cnn, deep learning, supervised learning
NAJLAE IDRISSI FACULTY OF SCIENCES AND TECHNIQUES BM MRI, AD, segmentation, classification
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
Toshikazu Ikuta University of Mississippi DTI; tractography; genetics
Ilias Iliopoulos University of Patras dataset , alzheimer , training , algorithm , classification
Livia Imami Bisopective ADNI
Erhan Ince Eastern Mediterranean University AD, CAD, sMRI
Himaja Indukuri vertexsoft Deep Neural Network
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
Saeed Iqbal University of Central Punjab Brain MRI, Alzheimer Segmentation
Khajasta Iqbal University of Wah Alzheimer detection, MCI detection
David Irwin University of Pennsylvania UDS, GWAS
Runar Isaksen SSHF ML, MRI, Alzheimer, Image Detection
Manabu Ishida ERISA Co., Ltd. Alzheimer's Disease, MCI, Machine Learning, 3D Convolutional Neural Network
yosuke ishii Stanford University age
Makoto Ishii Weill Cornell Medical College biomarkers, metabolic hormones, preclinical
Jyoti Islam Georgia State University fMRI, Alzheimer’s Disease, Deep learning, CNN
Tariqul islam BUET 0BR11
Mustafa Ismael Babylon University image processing, pattern recognition
NUR HAFIEZA ISMAIL Texas A&M University Alzheimer's disease
NUR HAFIEZA ISMAIL Texas A&M University Alzheimer's disease
Aya Ismail University of Maryland Machine learning , classification
Mohamed Ismail TU-Darmstadt Early diagnoses alzheimer master thesis
Elvin Isufi Tu Delft detecting anomalies over networks
Ivan Itzcovich Instituto Tecnológico de Buenos Aires Deep Learning, Convolutional Neural Networks, Artificial Intelligence
Jana Ivanidze Weill Cornell Medicine tau PET, amyloid PET, MMP-9, multimodal biomarkers
Ilinka Ivanoska Faculty of Computer Science and Engineering, Skopje graph theory, embeddings, fmri, dti
Tyler Ivester Massachussetts General Hospital Vascular, biomarkers, Alzheimer's
Tyler Ivester Massachussetts General Hospital Vascular, biomarkers, Alzheimer's
Alexander Ivliev Clarivate Analytics amylin pathway
Hirotaka Iwaki National Institute on Aging, National Institutes of GWAS
Yutaro Iwamoto Ritsumeikan University segmentation, image restoration, unsupervised learning
Atsushi Iwata The University of Tokyo J-ADNI
Akshay Iyer Worcester Polytechnic Institute Alzheimers, brain MRI scans, image analysis, artificial intelligence
Walter Izquierdo Florida International University BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
Nick Izzo Cognition Therapeutics proteomics, metabolomics, genomics
FEMINA J ANNA UNIVERSITY alzheimer's dataset
Manjunath J Candiphi Healthcare Pvt. Ltd Alzheimer,MRI scans
ALPHIN J IIIT H STRUCTURE ANALYSIS, ALZIMERS
Neelaveni J Sri Ramakrishna Engineering College Access
Emimal Jabason Concordia Deep Learning
Emimal Jabason Concordia Image Processing
Grzegorz Jacenków The University of Edinburgh multimodality, machine learning, deep learning
Jonathan Jackson Fr. C. Rodrigues Institute of Technology, Vashi Alzheimers, Dataset, CNN, MRI scan
Jenith Jacob KCE Matlab
Diane Jacobs UC San Diego MCI, Cognitive Composite, Rate of Change
Tanner Jacobson Indiana University School of Medicine GWAS, Multivariate
Thomas Jacquemont Institut du Cerveau et de la Moelle Alzheimer, SNAPs, DWI, connectomics
Shruti Jadon Quantiphi Inc Research
reza jafari WTIAU thesis
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
Neda Jahanshad USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of t MRI, DWI, genetics
zahra jahanshiri tarbiat modares university image mining, age,AC
Sargam Jain University of California, Berkeley PET, MRI, Amyloid Hypothesis, dimension reduction
Parag Jain Indian institute of information technology gwalior Graph Neural Networks , Resnet
Anubhav Jain IIIT-Delhi brain-images, Deep Learning, Course-project
Vikas Jain IIIT Vadodara Machine Learning, Random Forest
KAJAL JAIN KLE TECH project
Goran Jakimovski KTI Deep Neural Networks, computer algorithms, Machine Learning
Nikša Jakovljević University of Novi Sad, Faculty of Technical Sciences assistant professor, signal processing, pattern recognition, programming
Sharna Jamadar Monash University parenthood, cortical thickness, connectivity
JOANNA JAMES Kolachalama Lab MRI data
Alex James Nazarbayev University imaging
Emmanuel Jammeh University of Plymouth demenia, parkinsons, bioinformatics, machine learning, decision support systems
Mojtaba Jamshidi Qazvin Branch, Islamic Azad University data mining
LUIS JAÑEZ UNIVERSIDAD COMPLUTENSE DE MADRID machine learning, predictive models, SVC, DNN, Alzheimer's disease,
Jae-Won Jang Kangwon National University Hospital Mild cognitive impairment, Alzheimer’s disease, CSF biomarkers, Brain MRI, Beta
Sung-eun Jang Dongguk univ. machine learning, one-shot learning
Cheongjae Jang Seoul National University DTI, positive-definite matrices, differential geometry, deep learning
Hyemin Jang Samsung medical center, Seoul, Korea cognition, Alzheimer's disease, amyloid, tau
Milica Jankovic University of Belgrade - School of Electrical Engineering dynamic, PET, MRI, neuroimaging
Kay Jann USC Stevens Neuroimaging and Informatics Institute Complexity, PET, fMRI
Ali Jannati BIDMC – Harvard Medical School PET, rs-fcMRI, lesion network mapping
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
Vinicius Jardim University of São Paulo Graph Signal Processing; Network diffusion, inverse problem
Mojib Javadi Indoc Research/OCBN data structure, data sharing, data visualization
farshid javdani Jahrom University of Medical Sciences Alzheimer’s disease;Inflammation;Nervous system
Reza Javidi Janssen R&D computation, data analysis
Monica Javidnia University of Rochester imaging, parkinson's, alzheimer's, dementia
supraja jayakumar NA deep learning models, alzheimers
Premaladha Jayaraman SASTRA University image analysis, feature extraction
Kharne Jean University of Georgia APOE e4 functional independence white matter integrity
Vijay Jeaykumar SSN College of Engineering Image Retrieval
Ryu JeChoil Soongsil univ. Computer vision
Angela Jefferson Boston University Cognitive Performance, Aging
Irina Jelistratova German Center for Neurodegenerative Diseases (DZNE) amyloid pathology, amyloid-sensitive PET
WEIMIN JENG Soochow University SVM, SSM, PCA, PET, MRI
Lisanne Jenkins Northwestern cortical thickness, neuropsychiatric symptoms
Bjørn Jensen University of Glasgow machine learning, neural networks, diagnosis, robustness
Seun Jeon Montreal Neurological Institute & Hospital, McGill University reproducibility
youngseok jeon National University of Singapore Deep learning, CNN, GAN, deep representation, Alzheimer's Diseaase
Mingyeong Jeon Chonbuk National University GAN(Generative Adversarial Networks), Classification, Diagnosis
Yong Jeong KAIST fMRI, Resting State, DMN connectivity
yeonuk jeong asan medical center deep learning
SEUNG YEON JEONG KONYANG UNIVERSITY deep learning
Byeong Chang Jeong Korea University network science, deep learning
JinGyo Jeong Hanyang University Alzheimer
Sun Jeremy Jilin University brain
Debesh JHa UiT - The Arctic University of Norway Alzheimer's disease
Alok Jha Capgemini Re-inforcement learning
Ranjeet Jha Indian Institute of Technology Mandi Diseases, Disorder, MRI, fMRI
meng Jhon CUST Deep learning
Gong-Jun JI Anhui Medical University white matter, MRI, brain
Peng Ji Fudan university Cascading, Networks
huanhuan Ji Guilin University of Electronic Technology classification
jun ji Yunnan University TGL algorithm predict
shanling ji lanzhou university AD
Minsu Ji KAIST fNIRS
Zhiwei Ji The University of Texas Health Science Center at Houston multi-omics, systems biology, predictive model
huanhuan ji Guilin University of Electronic Technology classification
li ji xibeidaxue medical image super resolution
Mengge Jia Beijing Normal University brain
Hong Jia UNSW GAN
chu jiahuan Donghua University AD,MRI,Clinical data,Multi-class
Xu Jiahui SZU medical image diagnosis
Caiqing Jian Guizhou University MRI, CNN, Deep Learning
Zheng Jian XiDian University AD classification
Hongchao Jiang Nanyang Technological University Artificial Intelligence
Shu Jiang Harvard Medical School out-of-sample validation
Shaozhi Jiang University of Massachusetts Lowell Prediction, Deep Learning, Computer Vision
Wenhao Jiang The University of Hong Kong MRI, medical imaging, motion removal
Richard Jiang Dr Machine Learning, Deep Learing
Teng Jiang Nanjing First Hospital Alzheimer's disease, Neuroinflammation, Biomarker
Lingxiang Jiang Taizhou First People's Hospital Vascular endothelial growth factor; neurogranin; synaptic dysfunction; Alzheimer
Shirui Jiang Shenzhen University 1st Affiliated Hospital neuro feedback
jingwan jiang ShenZhen university neural network;fMRI
yitong jiang the University of Queensland doing research
shan jiang Sensetime Innovation research
Xiong Jiang Georgetown University Medical Center MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
Wenjing Jiang Northeastern University fMRI, structure MRI, MMSE, MCI
Songhao Jiang University of Chicago brain, disease, MRI
Zhenqi Jiang Dalian University of Technology Alzheimer,ICA,convolutional neural network (CNN),hierarchical diagnostic feature
Kening Jiang Johns Hopkins Bloomberg School of Public Health N/A (only for study)
Yating Jiang The Center South Unversity U-Net
Xiaotong Jiang UNC decision making, treatment regimes, deep learning
Junjun Jiang Harbin Institute of Technology image processing, classification, machine learning
Hongliang Jiang Southease University, China AI, machine learning
Biguo Jiangnan Lanzhou University research
Bai Jiaqi Chongqing university Parkinson's disease
cai jiatong Shanghai Maritime University pet
zhang jiaxu jiangnan university medical image segmentation
Han Jiayi FuDan Univesity TADPOLE; Machine Learning; Alzheimer's Disease; Mild Cognitive Impairment
wang jiayi BUAA Deep reinforcement Learning,image recognition
biao jie Anhui Normal University Brain Connectivity
Li Jie Beijing Jiaotong University machine learning;early diagnoses;AD
ji jie Shantou University, GuangDong Province ,China deep learning
Adolfo Jiménez-Huete Hospital Ruber Internacional Differential diagnosis; Gray matter volumetry
Koji Jimura Keio University resting state fMRI, behavioral testing, functional connectivity
Cheng-Bin Jin Inha University MR image synthesis; cycle consistent; generated adversarial networks; CT-based r
Liu JIn Northeastern University 1998918ZMB
Xuehong Jin Hebei Normal University jxhnm104542@j
Yan Jin University of California, Los Angeles DTI
haihong jin Oregon Health and Science University alzheimer, comarison
Peng Jin New York University School of Medicine functional data analysis, subgroup identification, machine learning
YIn JIn Justice Resource Institue PET Depression, antidepression medications
Xuehong Jin Hebei Normal University jxhnm104542@j
Liu Jindong Hunan normal university Function Link
Liu Jindong Hunan normal university Function Link
Bin Jing Capital Medical University fs-fMRI, sMRI
PANG JING LIAOCHENG UNIVERSITY 76528425123
zhang jing nanchang university adni
wang jingqiang Zhejiang University Of Technology medical image analysis
feng jinjia renmin university of china paper verification
sun jinkao Beijing University of posts and telecommunication privacy
yao jizhi Hebei university no
Hang Joon Jo Mayo Clinic RS FMRI
Hyeongmin Jo Hanyang university erica CNN, 3D-CNN
Jun Jo Griffith.edu.au Deep Learning
Katie Jobson Temple University white matter hyper intensities, MCI, aphasia, BIANCA pipeline
Karan Jodha Vellore Institute of Technology, Vellore CT-Scan,Alzheimer's disease
Jubitta John Rajagiri school of engineering and technology,Kochi Deep CNN , Alzheimer ,MRI , multi-class classification
Stian Johnsen BrainMiner Ltd. CAD, AD, Software validation
David Johnson UC Davis Cognitive Impairment, longitudinal decline, Neuropsychology
Sterling Johnson University of Wisconsin-Madison tau, amyloid, pre symptomatic
Bryce Johnson University of Wisconsin-Madison PET Scans
Caleb Johnson The University of Texas at Austin University Student Research
Jane Johnston Neurotez Inc Leptin, clinical trial, Alzheimer's
Stephen Johnston Swansea University Prosopagnosia, VBM, MRI
Erin Jonaitis University of Wisconsin-Madison education, reproducibility, open science, computing
Richard Jones Brown University testing, practice effects
Ryan Jordan Brain Health Registry (UCSF) ADNI, BHR
Anthony Joseph Unite Genomics, Inc. GWAS, disease progression, drug response models, machine learning, image analysi
ANITA JOSEPH RAJAGIRI SCHOOL OF ENGINEERING BRAIN TUMOR
Jane Joseph Medical University of South Carolina rsfMRI, graph theory, machine learning
Joy Sebastian Prakash Joseph Irudayaraj Chettinad Academy of Research and Education fMRI, DTI, Conn, DSIStudio
Dhanashri Joshi PICT,Pune demo
Anand Joshi USC MCI, cortical thickness
Jitesh Joshi Tata Elxsi Ltd DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection
Juho Joutsa University of Turku Teaching
Jasmina Jovanovic University of Texas at Austin SVM, DT, DNN, CNN
Božen Jovanovski Faculty of Computer and Information Science, University of Ljubljana MRI, deep learning, machine learning, MRI segmentation
Freimut Juengling University Hospital Berne and PET/CT Centre Northwest Switzerland SPM, AAL, SSP, PVC
Soukwon Jun Seoul National University UNET
Wang Jun Xuanwu Hospital Affiliated to Capital Medical University AD,SCD,Neural imaging
Wang Jun LAN ZHOU UNIVERSITY w23161925
Sun Jun Beijing Jiaotong University test algorithm
Gyungah Jun Boston University cognitive function, MRI, genome-wide association study
Hyeyoom Jung HGU artificial intelligence detecting Alzheimer’s disease from MRI scans
Ho Yub Jung Chosun University localization, machine learning, neural network
Wonmo Jung VUNO Alzheimer's Disease, Deep Learning
Young Hee Jung Samsung Medical Center Alzheimer' disease
Merel Jung Jheronimus Academy of Data Science Deep learning, Medical image-to-image translation
Wonsik Jung Korea University sMRI, Alzheimer's disease
Euijin Jung DGIST Deep learning, MRI, PET, Synthesize,
Kwanghee Jung Texas Tech University Quantitative
Li Junwei none fMRI ML
Roos Jutten VU University Medical Center Alzheimer's disease; composite scores; clinical progression
Simona Juvina UPB quqixun/BrainPrep
Yoon juyoung Hankuk University of Foreign Studies dementia, deep learning
Assil Jwair Jheronimus Academy of Data Science Data Science, Neural Networks, Training
Fong Jx UTM Deep Learning, Hippocampal
monika jyotiyana central university of rajasthan,Bandarsindri AD,neurodegenerative disorders,
gopinath k P.A.College Of Engineering and Technology alzheimer's disease detection
Vishnu K Jyothi Engineering College, Cheruthuruthy, Thrissur TADPOLE challenge,neural imaging,alzheimer's disease,
Pavani K GVPCEW India alzheimer's,datamining, machine learning, image processing
L K UoY BA47, Alzheimers, hippocampus
Prithvi K Balehannina 10th class student , Delhi Public School , Hyderabad Deep learning , Neurodegenerative diseases, PET , fMRI, biomarker
Aneesh K N Sri Jayachamarajendra college of engineering Deep learning, MCI, Alzheimers, AI
Shreya K R Indian Institute of Science, Bangalore Machine learning, predictive analysis, mild cognitive impairment
Srinivasan K S Madras Institute of Technology Research
Iswarya K V Amrita Vishwa Vidya Peetham Complex network, diagnosis
RAMA KAALIA NANYANG TECHNOLOGICAL UNIVERSITY ADNI Genetic data, Gene Interactions
Amin Kabir Simon Fraser University classification
Neda Kaboodvand Karolinska Institutet functional connectivity; brain injury; neuropathological signs of AD
Mouloud Kachouane USTHB Alzhaimer dMRI DTI
Claus Kadelka Iowa State University topological data analysis, Alzheimer's disease
Kylie Kadey Wayne State University MCI, Apolipoprotein E, Body Mass Index, Alzheimer’s Disease, Risk Factors
Hafid Kadi Univ Dataminig
rahele kafieh isfahan university of medical sciences fmri, classification, graph
Zeynep Kahraman Boston University fmri, dynamical network, function states,
Li Kaicheng Zhejiang University 930606CC
Bernhard Kainz Imperial College London machine learning; decision support; automated diagnostics and prediction
Marcus Kaiser Newcastle University connectome analysis, computer simulations, network dynamics
Akihiro Kakimoto Hamamatsu Photonics K.K. FDG, amyloid
Lisa Kakinami Concordia University cognition; longitudinal; brain atrophy
OYA KALAYCIOGLU BOLU ABANT IZZET BAYSAL UNIVERSITY biostatistics, repeated measurements, machine learning, missing data analysis
Vandana Kale AISSMS IOIT MRI brain images
PADMA VASAVI KALLURU SHRI VISHNU ENGINEERING COLLEGE FOR WOMEN simulated puzzles,mind exercises
Meeta Kalra Concordia Univerity Tumour
RVNS Kalyan HyperVerge Artificial Intelligence, Computer Vision, Deep Learning
TAE-EUI KAM UNC Deep learning, AD, MCI, Classification
Ritwiz Kamal Indian Institute of Engineering Science and Technology, Shibpur Disease Classification, Neural Network, Alzheimer
sadia kamal Hallym University research
Takashi Kamatani National University Corporation Tokyo Medical and Dental University deep learning, prediction of onset, prediction of prognosis
Rohit Kamath Vanderbilt University Medical Center brain localization and brain lesions in Alzheimer's patients
Ocima Kamboj Indian Institute of Science ASL-Perfusion
Josh Kaminker Genentech clinical trial
Rasool Reddy Kamireddy vellore institute of technology university MRI, Segmentation, Machine Learning
Adel kamli Linfi laboratory deep learning
Faeza Kamran Shaheed Zulfiqar Ali Bhutto University of Science and Technology (SZABIST) Alzheimer's Disease Prediction
mohsen kamrani Tabriz university Alzheimer, mild cognitive impairment, classification
Cheuk Ni Kan National University of Singapore Amyloid, neuropsychiatric symptoms
Chi Nok Enoch Kan University of Minnesota Deep Learning
Ahmad Kanaan AbbVie Inc. resting state, gradients, gene expression
Nagaendran Kandiah National Neuroscience Institute dementia, stroke, small vessel
Mohamed Kandil Yale School of Medicine shape analysis, volume analysis
Tomoki Kaneko shinshu university visual rating system
Gregory Kanevsky H2O.ai ML research automl
Hyeon Kang Institute of Convergence Bio-Health, Dong-A University ML, AI
Do-Young kang Dong-A university hospital Resnet, transfer learning
Hakmook Kang Vanderbilt University functional connectivity, spatio-temporal model
Jian Kang Arizona State University network mining
cheol kang SAS ANDI
Hyunseung Kang University of Wisconsin-Madison causal inference,
SUNG HOON KANG Samsung medical center Alzheimer's disease
Jiyoung Kang Yonsei University fMRI, DTI, PET, bioinformatics
Jian Kang University of Michigan Statistical methods, GPU
jeonghwa kang university alzheimer's Disease
Jujiao Kang Fudan University Brain atrophy
YUN SEOK KANG The Ohio State University Post mortem human surrogate
Ju Hee Kang Inha University A-beta42, tau, phospho-tau
Yash Kanojia Medicaps Prediction of alzheimer
Monia Kanoun National School of Engineers of Sfax - enis mult
Anuraag Kansal Evidera, Inc. simulation, model, clinical trial
Merve Kantarci Hacettepe University Computer Vision, Bachelor Project
Siddhant Kapil UMBC Deep Learning, Data Analytics, Computer Vision
Nicole Kaplan Cleveland Clinic Lou Ruvo Center for Brain Health Alzheimer's Disease, MCI, Sex Differences
Adam Kaplan University of Minnesota Joint and Individual Variation Explained
Arunima Kapoor Sunnybrook Health Sciences Centre Cognition; Functional Outcome; Alzheimer’s disease
Abhay Kapoor Dublin Business School Neurology, medical science, MRI scan
Eleni Kapoulea University of Massachusetts, Amherst Apolipoprotein E4, Alzheimer's disease, Depression, Cognitive Decline
Saurabh Kapur Indraprastha Institute of Information Technology Delhi Alzheimer, diagnosis, segmented MRI, PCA, SVM, PLS, ADNI database
Behnam Karami Shahid Beheshri University deep learning
Tomas Karella Faculty of Mathematics and Physics Deep Learning, Alzeimer disease, classification
Razaul Karim Mawlana Bhashani Science and Technology University Alzeimer disease, deep learning
Michelle Karker University of Michigan Classification; deep learning
Daniel Karlin Pfizer, Inc. Data, Transmart
Chiheb Karray CNRS (Digital Research Centre of Sfax) Machine Learning, Data Integration, Biomarker Discovery
Akihiro Kasahara University of Tokyo Hospital fast imaging techniques
Wataru Kasai Splink, Inc. MCI due to AD, MRI, Neural Network
Satyananda Kashyap IBM deep learning, fusion, multi-modal classification
Panagiotis Katsonis Baylor College of Medicine Evolutionary Trace
daman kaur ulster university Alzheimer's disease
Rachneet Kaur University of Illinois at Urbana Champaign Research, Clinical, Image Analysis
Prabhjot Kaur CU MRI, sMRI , sparse representation
John Kauwe Brigham Young University mitochondrial copy number, Alzhiemer's disease, genetics
Martin Kavec home brain morphology
Fahrettin KAYA Kahramanmraş Sütçü İmam University Multistate Models, Markov Models, LSTM(long short term memory)
ahmet kaya Osmangazi Univesity alzheimer disease
Safak Kayikci Abant Izzet Baysal University Image Processing Harmonization
amin kazemi pesonal kkk
Zahra Kazemi Tehran University of Medical Sciences mci, ad, pctchange, wmh
Anees Kazi Technical University of Munich Deep learning, data retrieval, machine learning
Ieva Kazlauskaite University of Bath Non-parametrics, Uncertainty quantification
Weimao Ke Drexel University searching, processing, classification
hengjin ke Wuhan University classification, machine learning, feature extraction
Hope Kean MIT/Harvard Med/MassGen Hospital data science, modeling, cognitive
Sied Kebir University Hosp Essen deep learning
Aman KEdia Birla Institute of Technology and Science deep learning, Convolutional neural networks
Anna Kędziora WUT ASL
Brenton Keller USC - Laboratory of NeuroImaging age-related degeneration morphometry
Sean Kelley Trinity College Dublin network analysis, connectivity
Frank Kelly Neuradyne Systems fastai, CNN, deep learning
Diarmuid Kelly Cork Institute of Technology Distributed Machine Learning, Federated Learning, Artificial Intelligence
Tom Kelsey University of St Andrews Deep forest, CNN, biomarkers, clinical support
Bawar Kemal Rem Alzheimers Disease
Péter Kemenczky Hungarian Academy of Sciences, Research Centre for Natural Sciences machine learning, deep learning, artifact detection
Ian Kennedy Avid Radiopharmaceuticals propagation, AI, FTP, flortaucipir
kevin kennedy St. Luke's Hospital Kidney Function
Nicole Chwee Har Keong National Neuroscience Institute Normal Pressure Hydrocephalus, MRI, DTI, biomarkers
Nivea Kesav COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY ALZHEIMER'S DISEASE DEEP NEURAL NETWORKS
Zafer Keser University of Texas Health Science Center at Houston Cognitive decline, Networks, Connectivity analyses.
Krishna Nand Keshava Murthy MSKCC pixel labeling
Ronak Keshavarzi Islamic Azad University of Tehran Medical Branch Alzheimer’s disease and inflammatory doseases
Shelli Kesler University of Texas MD Anderson Cancer Center cancer Alzheimer's connectome chemotherapy
Daniel Kessler University of Michigan Statistics, Machine Learning, DWI