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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
Dinu A J Noorul Islam AI,Alzheimer's disease
aasa aa weser executive function, exercise
nima aalizade RS Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Mohammad Hadi Aarabi Tehran University of Medical Sciences Diffusion MRI
Ardalan Aarabi UPJV fmri, dti
MOHAMED AATI UCAM CNN, Classification
John Aballi Molecular Stethoscope cfRNA
saeid abbaasi FUM Multi-modal; dimensionality reduction; dynamic structure; effective distance.
Anzar Abbas Emory University default mode network, quasi-periodic patterns, dynamics of BOLD signal
abd elazeim abd alla mohamed nour south east university MRI,AD,MCI
Mohamed Abdelaziz Delta Academy Ensemble learning , Spatial–temporal constraint
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
Mahsa Abdollahi Amirkabir University of Technology(Tehran polytechnic) Classification, Brain Diseases, Alzeimer, SVM, KNN
sahar abdolmaleki iran Diagnosis, Alzheimer
Ahmed Abdul Karim College of E&ME, NUST Image Processing Analysis Appearance
Yousry AbdulAzeem Misr Higher Institute for Engineering and Technology Alzheimer’s disease; CNN; Deep Learning;
Ahmed Abdulkadir University of Freiburg classification, machine learning
Sachal Abdullah Forman Christian College (A Chartered University), Lahore Deep Learning , artificial neural nets , EMCI , LMCI
Laure Abecassis Imperial College London machine learning statistical hypotheses tests
Shafiq Abedin IBM TBI, Trauma detection
Abubakar Abid Stanford metric learning, trajectory, time-series
Tracy Abildskov University Of Utah Mild TBI
Mohamed Aboamer Majmaah University deep learning neural network
Ethan Abraham Student Machine Learning
Aaron Abraham University of Calgary Non-negative matrix factorization, blood-based biomarkers, machine 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
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
Maria Achary Mumbai university Nothing
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
Hieab Adams Erasmus MC University Medical Center Neurodegeneration, high-dimensional data, brain imaging, genetics
Benjamin Adams Eli Lilly & Co. deep learning, AI, neural network
Christopher Adamson Murdoch Childrens Research Institute corpus callosum, cortical thickness, logitudinal
Stanislaw Adaszewski Lausanne University Hospital tSNE
Silvia Addamo University of Pavia ciao
Tameem Adel University of Amsterdam MRI Classification, Unsupervised Feature Learning.
Ehsan Adeli Stanford University Machine Learning, Computational Neuroscience, Medical Imaging
Nil Adell Mill ETH Zürich & Zürich University Deep Learning, Early Diagnosis, Interpretability in Deep Learning
Karim ADERGHAL Faculty of sciences MRI, DTI, Deep learning
Paul Adlard The Florey Institute for Neuroscience and Mental Health Zinc, cognition, ageing, Alzheimer's disease
Saeedeh Afshari Simon Fraser University PET image processing, activity analysis
Awais Aftab Case Western Reserve University/University Hospitals Cleveland Medical Center GDS, depression, amyloid
Iman Aganj Massachusetts General Hospital / Harvard Medical School Brain connectivity
dhruv agarwal University of Illinois Urbana Champaign disease overlap, image,genetic,
Rishal Aggarwal Birla Institute of Technology and Science, Pilani Neural Networks Machine Learning
Kunal Aggarwal Amity University Machine Learning, AD, MCI
Akshay Aggarwal Indian Institute of Technology, Indore Research Project, Classification, Prediction
Parya Aghasafari UC Davis Feature selection, Machine learning
Mary Aghili 1985 Alzheimer, MCI, NC, machine learning, deep learning
Praful Agrawal University of Utah image registration
Rimjhim Agrawal Artificial learning system machine learning,bio-marker,alzheimer's, diagnosis
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
mali ahmadi sutech dmn
Hessam Ahmadi Islamic Azad University fmri, graph theory, alzheimer
Seyed Emad Ahmadi Yale School of Medicine brain segmentation, convolutional neural networks, machine learning
mahdi ahmadi sahand university Alzheimer’s disease
Sara Ahmadi-Abhari Imperial College London Alzheimer's disease, dementia, SUVR, Amyloid, Neurodegeneration
Juweiriya Ahmed Western University Psychosis, AD
Faisal Ahmed University of Liberal arts Bangladesh Project, Final Year, Alzheimer's,
Rishad Ahmed University of Jinan Dementia, Deep Learning
Tahera Ahmed Bond University Alzheimer's, ADNI, Big Data, Machine Learning, Health Analytics
Samsuddin Ahmed BUBT Deep learning, 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
Dennis Ai Stanford University MRI, Alzheimer, Convolutional Neural Networks
Qing Ai University of Science and Technology Liaoning machine learning; MRI; PET
Qing Ai Northeastern University AD; PET images; MRI images
Yu Aihui WUST yuaihui137
Chrysanthi Ainali UCB machine learning, predictive models
Paul Aisen University of Southern California data sharing methods
eman aita benha university 123
Viljami Aittomäki Nightingale Health Ltd metabolomics, AD, Alzheimer's disease
Santiago Aja-Fernandez Universidad de Valladolid Diffusion MRI, anisotropy measures, robust estimation
Hameed Ajala National University alzheimer
sharmen akhter islamic university abc
yasmeena akhter IIIT Delhi ML, MRI, fMRI, Brain diseases
Alex Aklson IBM Canada Deep Learning, Classification, Alzheimer's Disease, Older Adults
Essang Akpan University of Pittsburgh lateralization, asymmetry
Leon Aksman UCL structural MRI, longitudinal analysis, imaging genetics
KEMAL AKYOL Kastamonu University random forest, logistic regression
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
Omar Al-Janabi University of Kentucky Brain atrophy, MTA, WMH, Age
Ali Al-Nuaimi Plymouth University brain disorder
Noor Al-Qazzaz UKM MRI, CT, Processing, Analysis
eman alaa engineering 3SV50
Reema Alabdullatif King Saud University Machine learning
Adnan Alahmadi KAU fMRI
Abdulwahab Alahmari King Saud University MRI, Alzheimer, hippocampus
FADHL ALAKWAA MICHIGAN UNIVERSITY drug discovery , drug repurposing
John Alam EIP Pharma Episodic Memory, Longitudinal Change
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
Ali Alhamud UT aging, brain connectivity, volumetric morphological measurements
sana ali uet machine learning classification alzheimer
Shahzad Ali University of Engineering & Technology, Lahore, Pakistan MS Project Analysis
Imdad Ali IIUI Classification
Rizwan Ali Comsats University, Abbottabad campus alzeimer, machine learning, epistasis
babar ali uet lahore cnn dataset
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
RAJMA ALI nit sikkim brain tumor
muhaddisa ali Chalmers University Preprocessing, FSL, Deep learning, classification
Sanam Ali Sunnybrook Research Institute rsfMRI; preprocessing optimization
SHABBIR ALI RYERSON UNIVERSITY Health, Crime
Ali Kevin Ali Kevin Lanzhou University predict Alzheimer's disease
Adriel Alejandro Aliaga Benavides Granma University classification, brain images,neurosciences
Affan Alim PAF- Karachi Institute of Economics & Technology Alzheimer
mohammad aliyari Islamic Azad University CNN
mohammad aliyari Islamic Azad University CNN
IBRAHIM ALIYU CHONNAM NATIONAL UNIVERSITY Alzheimer's, Big Data, cloud-based, EEG, Machine learning
Mohamad AlJasem Tehran Univeristy of Medical Sciences Machine Learning, Artificial Intellgince, Deep Learning
ZAID ALKHALEDI UNIVERSITY OF KENTUCKY MDR; Model Selection; Continuous Phenotype; Ordered Combinatorial Partitioning
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
Hannes Almgren Ghent University Effective connectivity, structural connectivity, cognition
Saif Aldeen AlRyalat University of Jordan Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Majd Alsado University of Alberta practice, personal
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
Andre Altmann University Collage London Imaging Genetics, Next Generation Sequencing
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
Yahyah Aman University of Oslo Alzheimer’s disease, mitophagy, biomarkers
Robert Amaral Douglas Mental Health University Institute hippocampus, white matter, Alzheimer's disease
Ambaw Ambaw George Washington University Stacked Autoencoder, Convolution Neural Networks
Rula Amer Tel Aviv university deep learning, DTI, segmentation
Yusuf Ameri University of Maryland deep learning, research, undergraduate, cnn, image classification
remya amernath ponjesly college of engineering threshold,segmentation
Amin Amini Amirkabir University of Technology Disease Diagnosis, fMRI, Deep Learning
Nicola Amoroso Università degli studi di Bari Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
Sabrina Amrouche CERN Machine learning pattern discovery mining
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
Vikas Kumar Anand Indian Institute of Technology Madras Medical Image Analysis, Deep Learning, Radiogenomics, Radiomics
Namrata Anand Stanford machine learning, deep learning
Ben Anandapppa Harvard University Machine learning, data science, big data
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
Emma Anderson University of Bristol Education, intelligence, Alzheimer's disease, Dementia
Jeff Anderson University of Utah MRI, MCI
Wes Anderson Eli Lilly and Company Alzheimer's pre-clnical research
Vesna Andova Faculty of electrical engineering and IT Alzheimer’s Disease, similarity measurement, image retrieval, data mining
MARIA ANDRADE FEDERAL UNIVERSITY OF PERNAMBUCO machine learning, computer vision, image features, deep learning
Gerda Andringa University College Roosevelt, Utrecht University image analysis, independent component analysis, alzheimer's disease
John Ang AI Singapore Deep learning, feature level irregulariries
cucun angkoso Institut Teknologi Sepuluh Nopember feature reduction, deep belief net, alzheimer
Liz Antoinette Anguren Cebu Institute of Technology - University MRI, Alzheimer, pstd, bipolar, adhd, autism, schizophrenia
Isabel Ann Wingert Drexel University image processing, Alzheimer's, matlab
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
Ahmed Anter Beni-suef University Neurology, MCI, AD
Thomas Anthony University of Alabama at Birmingham HPC machine learning
Isadora Antoniano Villalobos Bocconi University Youden_index Nonparametric_inference covariate_specific_diagnosis
Rubina Antony Fisat alzheimer detection
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
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
Miguel Ángel Araque Caballero Klinikum der Universität München MRI, PET, DTI, APOE, amyloid-beta
Gilderlanio Araújo Federal University of Pará association networks, non-coding RNA, eQTL, population genomics
Mohammad Arbabyazd INS reconstruction, virtualisation
Mohammad ARBABYAZD Institut de Neurosciences des Systèmes- INS Alzheimer's disease
Derek Archer University of Florida diffusion MRI, tractography
Kellie Archer The Ohio State University ordinal response; discrete response; high-dimensional data; penalized methods
Damiano Archetti IRCCS Centro San Giovanni di Dio-Fatebenefratelli computational models
Babak Ardekani Nathan Kline Institute MRI; Corpus callosum; shape analysis;
Eider Arenaza-Urquijo Mayo Clinic Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Eleni Aretouli University of Deusto intraindividual variability
Alejandra Arévalo Sáenz Hospital Universitario de la Princesa tractography parkinson
Konstantinos Arfanakis Illinois Institute of Technology diffusion, DTI, registration
Carlos Arias FAR Institute machine learning
Franchesca Arias University of Florida cognitive reserve
Yassine Aribi ENIS images
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
Magnolia Ariza-Nieto epIAWELL LLC epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Muhammad Ashfakur Rahman Arju Daffodil International University classification, agent, svm, tensorflow,
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
Aiden Arnold Kaggle deep learning, machine learning, predictive modeling
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
Rahul Arora Samsung Research India Deep Learning, CNN, MRI
Rahul Arora Samsung Research India Deep Learning, CNN, MRI
Salim Arslan Imperial College London machine learning, dementia, Alzheimer’s disease
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
Nibal Arzouni USC AD, Imaging genetics,
Hadis Asadi Islamic azad university Central Tehran Branch Medical radiation
farnaz asadifard shahid beheshti university AD fmri images
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
Wes Ashford Stanford leptin, Alzheimer, blood, dementia
Azhaar Ashraf Imperial College London Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Brianna Askew Alzheimer's Disease Cooperative Study dementia, intervention, risk factors
Kathleen Askland Butler Hospital/School of Medicine, Brown University analytic methods, machine learning, genetics
Eric Aslakson Poiema, LLC adni transmart
Toshihiko Aso Kyoto University Graduate School of Medicine BOLD signal, cerebral blood flow, venous drainage
Akalya Asokan National Brain Research Center corpus callosum, thickness
Assif Assad Islamic University of Science and Technology MAchine Learning Deep Learning ARTIFICIAL Intelligence
Dimitrios Ataloglou Aristotle Univercity of Thessaloniki hippocampus segmentation, convolutional neural networks
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
MIRUNA FLORENTINA ATES MALTEPE UNIVERSITY brain volumetry, Alzheimer disease, analyse, cognition
Taylor Atkinson University of South Florida MoCA, media, test exposure
Arnaud ATTYE Grenoble University Hospital Diffusion Weighted Imaging; Optic pathways; Machine Learning; Manifold Learning
Amani Atwi American University of Beirut Machine learning
April Au University of Toronto estrogen, sex differences
Tibor Auer Royal Holloway University of London automatic analysis; dynamic connectivity; fmri; big-data
Supatana Auethavekiat Chulalongkorn University Diagnosis, deep learning
brian avants Biogen brain, thickness, ANTs, conversion, amyloid
MUSTAFA TALHA AVCU Bilkent Universtiy Statistical Learning, Data, CNN, DDL
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
Justina Avila Columbia University Medical Center Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
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,
suyash awate IIT Bombay segmentation evaluation
Enes Ayan Kırıkkale University Alzheimer, Deep Learning, CNN, Medical Image Analysis
Aymen Ayaz National University of Science & Technology, Islamabad Pakistan classifier, automatic, MRI, early, diagonosis, Alzheimer
Yesim AYDIN SON Middle East technical University Data mining, Hybrid Methods, SVM-ID3
Matt Ayers indiana university ADC cognitive reserve
Alp Aygar New York University autoencoder, deep learning, transfer learning, MTBI
Scott Ayton University of Melbourne CSF amyloid b, tau, heart rate, blood pressure
Deepak Nag Ayyala Medical College of Georgia, Augusta University time series; resting state; high dimensional inference;
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,
Mohd Hafrizal Azmi Universiti Putra Malaysia PET/CT, AD classification
Pushpa B R Amrita Vishwa Vidyapeetham segmentation, classification
Rekha B U Visveswaraya Technological University Machine learning, Artificial Intelligence, Alzheimer's disease
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Dulguun Baasandavaa Harvard University Alzheimer, EDA, Cognitive impairment prediction
Rosha Babapour Mofrad VU medical center NFL
Farzaneh Babashahi ESFAHAN UNIVERSITY OF TECHNOLOGY MRI
Libin Babu CUSAT Alzhimers, tensorflow
alexandra badea Duke CIVM mri, imaging, analysis
AmanPreet Badhwar CRIUGM, University of Montreal neuroimaging, genetics
Lea Baecker King's College London machine learning, MRI
JongTak Baek korea university deep learning
Steven Baete NYU School of Medicine Orientation Distribution Function analysis, Diffusion MRI
Asma Baghdadi Enis IRM, segmentation, image processing, Alzheimer diagnosis
nooshin bagheri azad university deep learning
fatemeh bahadoran babol noshirvani university of technology alzheimer fuzzy
fatemeh bahadoran babol noshirvani university of technology alzheimer neural network
Huiwen Bai Dalian University of Technology image classification
Ruxing Bai GeneScience Pharmaceuticals early diagnosis;artifical intelligence
Geoffrey Baird University of Washington, Seattle Biomarkers
Paul Baird Centre for Eye Research Australia, University of Melbourne AMD, genome wide, interaction
Nikolaj Bak H. Lundbeck A/S Progression, Segmentation
Paula Baker Saint Mary's University of Minesota dementia, Alzheimer's
John Baker Janssen R&D Diagonsis, Progression, Biomarkers
Arnold Bakker Johns Hopkins University Entorhinal Cortex
Ibtissam Bakkouri FSA Ibn Zohr CAD, AD, Machine Learning
Giorgos Bakoyannis Indiana University Statistical methods, interval censoring, missing data, misclassification
himanshu bal dhole patil college of engineering deep learning, brain networks
Helena Balabin Fraunhofer SCAI Deep Learning, Classification of Alzheimer's patients, Feature Selection
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
Oishila Bandyopadhyay Indian Institute of Information Technology Kalyani curvature, concavity index, chain code, mid-line, MRI, alzheimer
ANWESHA BANERJEE IIEST CONNECTIVITY, EARLY DETECTION, BIOMARKER
Samprit Banerjee Weill Medical College, Cornell University predictive modeling, machine learning
ARIT BANERJEE Columbia University Medical Center Amyloid PET, MRI, Neuropsychological testing, Alzheimer's disease, longitudinal
Seojin Bang Carnegie Mellon University diagnosis
sunjoo bang Ajou Univ key gene identification, genetic data, data mining
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
Asish Banik Michigan State University Bayesian Computation
Sarah Banks UCSD tau; alzheimer's; sex differences
Leonie Banning Maastricht University Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Owen Bao SCUT AD,MCI,PET,MRI
beatrice bao cheeroffice education limited company data
Zhao Baoqi Hangzhou Normal University research, verify paper
Sabeeha Baqui Al-Arqam College Preparatory Alzheimer's, MOCA, MMSE, MRI, application, Lumbar Puncture
Fernando Barajas Universidad de Monterrey ITK , MAPER , SEGMENTATION
nourhan barakat tanta university ALZHEIMER
Rita Barakat University of Southern California Stroke, TBI, brain injury, neurodegeneration, therapy
negin barani babol noshirvani university of technology alzheimer fuzzy
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
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
Chris Barbu Psychology Study materials for class.
Mikayla Barea Michigan State University white matter, MCI, conversion, learning, memory, atrophy, volumetry, DTI
Giuseppe Barisano USC Stevens Neuroimaging and Informatics Institute Quality Control, MRI
Josephine Barnes UCL Institute of Neurology hippocampus, whole brain
Chandler Barnes Vanderbilt University machine learning, undergraduate
Olivier Barret IND PVC, centiloid
Matthew Barrett University of Virginia School of Medicine Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
HECTOR BARRIOS CFE 123
vera barstad University of Agder Deep Learning, 3DCNN,pointcloud
Fabian Bartel VU University Medical Center hippocampus segmentation, harmonized hippocampus segmentation protocol
Jakub Bartoszewicz Adam Mickiewicz University vGWAS, SNP, genome, brain structure, neuroinformatics, genomics
Caroline Barwood University of Nottingham Alzheimer's
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
Anirban Basu University of Washington, Seattle dementia progression, prediction, distributional statistics
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Shubham Basu VIT Chennai Alzheimer's Disease
Vishant Bata Indian Institute of Technology,(BHU), Varanasi-India PET Scans, Early Detection, Machine Learning
Eloi Batalla Fundació Collserola magnetic resonances, alzheimer's disease
malav bateriwala CSIRO Deep Learning, Segementation
Veeky Baths Birla Institute of Technology & Sciences, K. K. Birla Goa Campus Cognitive diseases, Computational Neurosciences
Deepti Bathula Indian Institute of Technology Ropar Longitudinal Analysis Algorithms
Roman Bauer Newcastle University computational neuroscience
Christopher Bauer University of Kentucky MRI, DTI, cognitive reserve, Tau, A-Beta, memory
Christian Baumgartner ETH Zurich medical image analysis, machine learning
Amirhossein Bayat Technical University of Munich segmentation, registration
Armin Bayati University of Victoria Cognitive disorder, microscopic, macroscopic, diagnostic, vasculature
Peter Bayley VA Palo Alto Health Care System, CYP191A, hippocampus, apoe4, neuropsychology
Ece Bayram Cleveland Clinic amyloid, tau, dementia
Ali Bayram Istanbul University Field map
Derek Beaton Baycrest partial least squares, multivariate, genetics
Christian Beaulieu University of Alberta DTI, ExploreDTI, tract-specific analysis, registration, MATLAB
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
Josh Becker UT Southwestern Medical Center dementia, alcohol use disorder, substance use disorder
Laurel Beckett UC Davis Biostatistics
Joanne Beer University of Pittsburgh prediction, statistics
Joanne Beer University of Pennsylvania data harmonization, longitudinal
Andrew Beers Massachusetts General Hospital deep learning pet mri
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
Zahra Beheshti University of Toronto Khordade7!
Qumars Behfar Cologne University hospital Connectome
Hamid Behjat Lund University shape analysis, topological similarity, classification, early diagnosis
Lynn Bekris Cleveland Clinic Lerner Research Institute apoe, tomm40
Belal belal UESTC EEG signal
Mahanand Belathur Suresh Sri Jayachamarajendra College of Engineering AD,MCI
Maura Bellio University College London graphic user interface; MRI; disease progression models; neurodegenerative
Muktar Bello University of Ilorin DMRI,tracktohraphy,DTi
Mikhail Belyaev Skolkovo Institute of Science and Technology disease progression, machine learning, data fusion
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
Andreana Benitez Medical University of South Carolina MoCA, Item Response Theory
Colleen Benjamin Syneos Health CCLS, ADNI, LABDATA
Jose María Benlloch Spanish Reseach Council beta-amyloid plaques, brain PET detector, Alzheimer, classification algorithms
Bini Mariyam Benny Rajagiri School Of Engineering And Technology ,Kakkanad adni
Julia Benoit University of Houston Alzheimer's disease, clinical trial methods, prediction
Mariana Bento university of calgary machine learning, image features, dementia
Sabrine Benzarti Somai High Institut of Management of Tunis Alzheimer, deep learning
Tammie Benzinger Washington University MRI
Paola Berchialla University of Torino Biostatistics, Machine Learning
Victoria Berenguer Instituto tecnologico de Buenos aires MRI
Leander Berg Heidelberg University Studies, learning
Maurizio Bergamino Laureate Psychiatric Clinic & Hospital DTI; GQI; structural connectivity; prediction model
Gintvilė Bergerytė Vilnius University Alzheimer machine learning classification
Shai Berman the Hebrew University of Jersalem MS lesions template
Cam Bermudez Vanderbilt University MRI, cardiovasculr disease, clinical phenotypes
Jose Alfonso Bernal Moyano Universitat de Girona longitudinal changes, atrophy, convolutional neural networks
Rodrigo Beron Fing Predecir Patologias
Mohamed Berrimi University of Ferhat Abbas 1 , Faculty of sciences Classification , Machine learning , deep learning, prediction
David Berron Lund University MTL subregions, volumetry, MRI
Laiss Bertola Universidade Federal de Minas Gerais Genetics, using ADNI data as a teaching example, Friday Harbor
Lars Bertram University of Luebeck GWAS, EMIF, QTL, PGS
Pierre Besson Northwestern University Deep learning, prediction, big data
Pierre Besson Northwestern University Machine learning
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
Peyman Beyranvand Istanbul Technical University reconstruction, deep learning, PET, SPECT
Pritha Bhabra Ramdeobaba College of Engineering and Management Alzheimer’s, detection, MRI scans, image processing
PRITI BHAGAT KONERU LAKSHMAIAH EDUCATION FOUNDATION VADDESWARAM. EEG, SVM,aLZHEIMER'S
Nikhil Bhagwat university of toronto MRI, AD, Machine-learning
Abhishta Bhandari Royal Brisbane and Women's Hospital FDG PET, MRI, cerebrum, corticobasal syndrome
Keshav Bhandari Texas State University semantic segmentation
Rohan Bharadwaj University of Maryland Deep Learning, Image Processing, Convolutional Neural Nets
DHRUV BHARGAVA Manipal University Jaipur 3-D CNN ,Structural MRI
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
Priya Bhatt Oregon Health and Science University gwas, alzheimer's disease, statistics
Chidansh Bhatt FXPAL multi-modal learning; deep learning;
gaurav bhatti wayne state university Longitudinal data analysis, Artificial Neural Networks
Khushboo Bhatua Shri Ramdeobaba College of Engineering Alzheimer disease
Suman Bhoi National University of Singapore Multi-modality, inferencing
Alauddin Bhuiyan NYU School of Medicine Machine learning, MRI, Socio-demographic parameters, Alzheimer's
Chandra Bhushan CBK infotech India Private Limited data clustering
Suhas A Bhyratae Atria Institute of Technology AD, cMCI, ncMCI
Hanwen Bi Northeastern University fMRI, Brain Network
Xin Bi Northeastern University brain network, machine learning
xuesheng bian xiamen university medical image analysis
Rene Bidart Waterloo CNN
jumahuli biekan University of Saskatchewan sMRI, DTI, AD disease, MCL, Graph theory, Brain network
Matthew Bigelow The Ohio State University Alzheimer in early stages, prognosis, MRI
bahare bigham Mashhad University of Medical Sciences (MUMS) alzheimer's disease
Murat Bilgel National Institute on Aging FDG, amyloid, DTI, MRI, atrophy, longitudinal
Thibo Billiet KU Leuven default mode network
Julia Billington Hidden Wings Nonprofit, Santa Barbara Cottage Hospital pesticides, glyphosate, alzheimer's disease
Reem Bin Hezam Dublin City University dementia, modifiable risk factors
Malavika Bindhi Stanford University Classification of Alzheimer’s Disease using Patients’ MRI and Related Features
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
Ram Bishnoi Medical College of Georgia dementia, latent variables, neuroimaging
David Bissig OHSU retina, ocular
Dipayan Biswas Khulna University of Engineering & Technology Alzheimer disease, early detection, features
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
Vic Black Beijing University of Chemical Technology deeplearning, AD
Sandra Black Sunnybrook Research Institute MRI Volumetry, Alzheimer disease progression
Jennifer Blackwood University of Michigan-Flint MCI, neurological exam, vital signs
Elise Blaese IBM Research NIA GCAD Watson
James Blair University of Virginia Cognitive Impairment, Structure, T1
Brian Blair University of Florida MATLAB,PET Scan
Gilles Blanchard University of Potsdam Data analysis, Statistics, Machine learning, patient adaptive prediction
Kevin Blighe UCB whole genome; longitudinal data; feature extraction; patient stratification
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
Yao Bo Shandong University Alzheimer's disease language performance
zheng bo HDU Search
jin bo huawei deep learning
dheeraj bobbili Megeno S.A WGS, array, hashing, PRS, stratification
koum bochra university classification, Markov
Jason Bock Medical Care Corporation MCI, AD, longitudinal, prediction, bayesian modeling
Raviteja Bodla Springboard Deep learning
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,
Sai Krishna Bollam University of Illinois at Urbana-Champaign multimodal, deep learning
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
Gregory Book Hartford Hospital weather, brain volume, freesurfer
Brian Booth University of Antwerp MRI atlases, image registration, metric learning
Dragos Bordescu Polytechnic University of Bucharest ALZHEIMER PREDICTIVE DETECTION
Jens Borgbjerg Aarhus University Hospital MRI, dementia, rating scales
Jennifer Borkowsky Genentech biomarkers
Davide Borra University of Bologna Deep learning, CNN
Anders Borum Aarhus University Machine Learning, Computer Science, Thesis
Sepehr Borumand Sani Tehran University Of Medical Science Osteoarthritis Alzheimer's Disease assosiation
Paolo Bosco INFN Alzheimer's Disease, network analyses
budhaditya bose INDIANA UNIVERSITY PARKINSON'S DISEASE,CLUSTERING
Chinmoy Bose TwoPiRadian Infotech LLC Alzheimer, deep learning, classification, pre-processing
Zoran Bosnić University of Ljubljana Alzheimer; data mining; computer science; decision support
Nicholas Bott University of California San Francisco cognitive aging; structural imaging; inflammation
FRANCESCA BOTTINO pediatric hostital OPBG parcellation
Agustina Bouchet Universidad Nacional de Mar del Plata, Argentina Biomedical Images, Segmentation, Digital Image Processing
amani boughanmi Higher Institute of Applied Sciences and Technology of Sousse AMANIISSATSO2017
haralabos bougias university hospital dti
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
Jose Bouza University of Florida Artificial Intelligence Neural Network
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
Steven Bradburn Manchester Metropolitan University Inflammation, VBM, Cognitive decline, NSAID
Jelena Bradic UCSD lasso, testing, confidence intervals, p-values
Jonathan Bradley Florida State University Spatial statistics
Tyler Bradshaw University of Wisconsin attenuation correction
Joana Braga Pereira Karolinska Institute CSF, MRI
Abdelbasset BRAHIM IMT atlantique Alzhzeimer's disease, machine learning, image processing
Adebayo Braimah USC Mark & Mary Stevens Hall of Neuroimaging Neuroimaging, genetics, Alzheimer's Disease,
Lodewijk Brand Colorado School of Mines haploview, plink
Jose Bras UCL, Institute of Neurology Neurogranin, neurofilament light, biomarker, genetics
Meredith Braskie USC inflammation
Filippo Bravi nothing machine learning with big data
Guilherme Braz Harvard alzheimers disease
Noa Bregman Tel Aviv Medical Center verbal fluency
James Brewer UCSD subregional change MRI, PET
Adam Brickman College of Physicians and Surgeons, Columbia University white matter hyperintensities, PIB, amyloid
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
Cornelius AJ Broere AIAS Meylin Architecture, sMRI, Neurocognition, Neurology
Esther Bron Erasmus MC Classification
Frederic Brosseron German Center for Neurodegenerative Diseases (DZNE) e.V. AETIONOMY
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
Matthew Brown University of Alberta machine learning, diagnosis, prognosis, biomarkers
Robert Brown McGill University Brain extraction; Deep learning
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
Arne Brys icometrix EUROPOND EBM
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
Katharina Buck Roche Diagnostics Elecsys CSF Measurements
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
Ana Bueno Universidade Federal do ABC machine learning, convolutional neural networks
Derek Buhl Pfizer Alzheimer's
Sarah Buila Southern Illinois University Clinical Assessment
faiza Bukenya University of Nottingham Segmentation,blood vessel,medical images
Sayed Ali Raza Shah Bukhari Jamil ur Rahman Ceter for Genome Research Mitochondrial Genomes, Alzheimers
Nikola Bulatovic University of Montenegro deep neural networks, convolutional neural networks, classification
Ömer Faruk Bulut Sakarya Unıversıty Research
Ninon Burgos University College London PET synthesis
Haroon Burhanullah Johns Hopkins University Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging
Katherine Burn University of Melbourne cognition; inflammation; amyloid
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
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
DeAnnah Byrd Wayne State University Cognitive reserve
Tabish C Mcgill DTI, Fiber Tracts
Adith C Amrita ADBI
BLESSY C SIMON RAJAGIRI SCHOOL OF ENGINEERING AND TECHNOLOGY ALZHEIRMER'S, DEEP LEARNING
Ryan Cabeen USC LONI tools
Rodrigo Cabello Univerisity Deep Learning
Ylermi Cabrera-León Universidad de Las Palmas de Gran Canaria Machine Learning, Artificial Neural Networks, ensembles, biomarkers, AD, MCI
adiel cahana bar ilan university deep learning
Zhengting Cai HYHY jety2858
Xiaoqing Cai Cornell University Alzheimer, prediction, machine learning
xiong cai Beijing University of Technology functional varying-coefficient model, local kernel smoothing method
Chunting Cai Xiamen Univeersity cct724724
erik cai wenzhou university multimodal neuroimaging
Shuxiu Cai Shenzhen University deep learning
Maria Eugenia Caligiuri Università "Magna Graecia" di Catanzaro neuroimaging, digital image processing
Christopher Calixte Duke University Alzheimer's early detection cognitive impairment
Brandy Callahan University of Calgary diagnosis, neuropsychology, dementia, mci, norms
Frederic Calon Universite Laval Alzheimer
Javier Camacho EIA University jav42cam70
Monica Camacho UCSF alzheimer's
Anna Canal Garcia Kungliga Tekniska Högskolan MRI, biomarkers, alzheimer
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
Guanqun Cao Auburn University functional data, ADNI
HONGLIU CAO INSA ROUEN Random Forest, dissimilarity, heterogeneity
Chunzheng Cao Nanjing University of Information Science and Technology Statistical learning, classification, functional data analysis
Sha Cao Indiana University Bioinformatics
FUDE CAO Shandong Institute of Commerce & Technology Brain image analysis, prediction of alzheimer's disease
Bo Cao University of Texas Health Science Center at Houston Machine learning
Yan Cao University of Texas at Dallas image analysis
Paul Cao HPE Deep Learning
Sha Cao Indiana University Bioinformatics
Jiguo Cao Simon Fraser University brain network, QTL mapping
Lei Cao USC NIIN 570
DANIEL CAPON BLOOD SYSTEMS RESEARCH INSTITUTE protein engineering, antibodies, amyloid beta, biomarker
Michael Carbenia Zspace education
Jeremy Carmasin Massachusetts General Hospital PIB FDG AD MCI
Owen Carmichael UC Davis cortical thickness
Diedre Carmo Faculty of Electrical and Computer Engineering - UNICAMP Deep Learning, Hippocampus Segmentation
Gustavo Carneiro University of Adelaide automatic discovery of biomarkers, deep learning, machine learning
Caio Carneloz UNESP Alzheimer, Machine Learning, Feature Extraction
Miguel Adolfo Caro Parrado Universidad Nacional de Colombia brain aging patterns
Sarah Carr Case Western Reserve University amyloid, POSET
Jason Carrier carrier diagnostics AI learning
Carmen Carrion Yale Medicine Cognitive Reserve, Racial/Ethnic Diversity in Cognitive Aging
Lucia Carrion Gordon UTS University of Technology Sydney Data, Heritage, Management
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
Janessa Carvalho Brown University Friday Harbor
Francesco Paolo Casale Microsoft GWAS, images, statistical testing, multi-trait
Kaitlin Casaletto UCSF neurogranin; exercise; cognitive activity
Adrià Casamitjana Universitat Politència de Catalunya PhD, machine learning, bioengineering, early stage of AD
Ramon Casanova Wake Forest University School of Medicine Machine Learning, Regularization
David Casas UPM SUVR measureament
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
Mariana Castro Universidade do Minho Alzheimer's disease, MRI, Feature Extraction, Machine Learning
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
Liam Cattell Oxford University Registration
Franco Cauda University of Turin damage network, Bayesian statistic, Alzheimer’s Disease
Michelle Caunca University of Miami Miller School of Medicine Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Michele Cavallari Brigham and Women's Hospital, Harvard Medical School amyloid, perivascular spaces, glymphatic
Tim Cedervall KTH Bachelor thesis svm
Nira Cedres Karolinska Institutet Alzheimers Disease
Marina Célestine MIRCen - CEA Lesion and cognitive analysis, multimodal study
alper celik indoc research ML, ANN
Jade Centeno Amandio PUCRS research
Diego CERPELLONI Udacity Udacity Machine Learning
Ricardo Cerri Federal University of Sao Carlos machine learning, SNPs, Alzheimer Disease
Marcela Cespedes Queensland University of Technology brain deterioration trajectory, bayesian analysis
Sadi Cetinkaya Türk Telekom Deep Learning
Alper Çevik Middle East Technical University Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Jungho Cha University of California San Francisco tau, pib
Jiook Cha Columbia University deep learning, artificial intelligence,
Yoonjeong Cha Immuneering target identification, pathology, survival analysis, pathway analysis
Satish Chada Pulmonary Services of North Texas Machine Learning, Artificial Intelligence, MCI, AD, COPD
Yaqiong Chai CHLA deep learning reconstruction
Wai Ho Chak CUHK Teichmuller metric, 3D shape analysis
Shreya Chakrabarti Indiana University School of Medicine imaging, genetics, biomarkers
Daniel Chalupa Brno University of Technology Pharmacokinetic Modeling, Multiple Classifier Systems
David Chamorro Neurognos Alzheimer, Diagnosis
Harshil Champaneria Arizona State University Research Project on Deep Learning
Alan Chan University of Alberta multivariate statistical analysis
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Dennis Chan Dougherty Valley High School Machine Learning, Alzheimer
Daniel Chan University of Oxford N/A
Anjali Chandra NIT RAIPUR DETECTION
Prakash Chandra Banaras Hindu University Clinical Research dataset
Paramanand Chandramouli University of Siegen image enhancement, denoising, super-resolution
QUAN CHANG Chongqing university of Posts and Telecommunications deep learning , ADNI
tzu an chang National Cheng Kung University adam10328
Jose Chang National Cheng Kung University Deep learning, CNN
Qi Chang Rutgers University machine learning
Minyu Chang Cornell University Fuzzy-trace theory; factor analysis
Yu-Chuan Chang National Taiwan University Alzheimer, Data Mining
Changgee Chang University of Pennsylvania integrative analysis, multi-task learning
Catie Chang National Institutes of Health resting-state fMRI, spontaneous activity, dynamics
Yu-Ming Chang Beth Israel Deaconess Medical Center/Harvard Medical School Alzheimer's, temporal horn, ventricle
Rui Chang University of Arizona Computational biology
tzu an chang National Cheng Kung University adam10328
Hyunggi Chang University of Warwick magnetic resonance imaging, artifacts
wu changfeng Anhui University China for study
Linda Chao UCSF PIB, MCI, cognition
li chaofeng sun-yatsen university MR CT deep learning
Arnaud Charil Eli Lilly and Company MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Cui Charles Tsinghua University AI, deep learning
Danai Chasioti IUPUI polygenic, alzheimer's
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
subhankar chattoraj Techno India University, West Bengal SSDA, shallow learning, deep learning, hybrid model
Ann Chau HKU ASL and amyloid
Om Chaudhari UNLV Alzheimer's disease, deep learning, deep polynomial networks
Gaurav Chaudhary M.S Ramaiah Institue Of Technology alzeimer's , neural networks
Zainab Chaudhry FAST-NU AD
Laurent Chauvin Ecole de Technologie Superieure Local Features, Subject Identification
Kevin Chavez Stanford University Alzheimers, classification, machine learning
Yusuke Chayama Hosei University Deep Learning, Brain MRI
Yanqiu Che Penn State College of Medicine MRI; Alzheimer's Disease; Machine Learning
Jacqueline Chea Harvard College genetics, cognitive impairment
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
Evelyn Chee Hanalytics image registration
Eduard Artur Chelebian Kocharyan Universitat Politècnica de València, UPV Machine, Deep Learning
Karthikeyani Chellappa University of Pennsylvania Human and Mouse biomarker
Yuanyuan Chen NorthWestern Polytechnical University Chen191520
Zhie Chen Chinese PLA General Hospital AD; brain; voxel-based morphometry; brain structure
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
Yin Jie Chen University of Pennsylvania Perelman School of Medicine Alzheimer's disease, multimodality, longitudinal
Ying-Hsiang Chen Bioinfotronics Research Center Intelligent, cloud computing, infrastructure
Peizhi Chen Xiamen University of Technology image registration
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Eric Chen UCAS computerscienceandmedical
jing chen Pennsylvannia State University arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Chi-Hua Chen University of california san diego Age, gender, disease status, APOE status
Johann Chen Accura Science network analysis, AD, GWAS
Ing-jou Chen Chang Gung University AV-45, PET, AD, PCA, SVM
Beichen Chen Royal Institute of Technology machine learning
Shirui Chen University of Wisconsin, Madison geodesic shooting, image registration
Hsu-Hsin Chen Genentech Alzheimer's Disease
Tingting Chen Zhejiang University Co-Attention, Multi-modal Fusion, AD diagnosis
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Jiu Chen Nanjing Medical University AD, aMCI, DTI, sMRI, fMRI
Jinxin Chen Chengdu University of TCM alzheimer,sleep disorders,fMRI
Jing Chen Shandong University of Science and Technology deep Gaussian process ,classification
Rong Chen Icahn School of Medicine at Mount Sinai protective allele, Alzheimer's disease
Chunling Chen Harbin Engineering University Alzheimor
Jiashi Chen xidian university image processing
Sophie Chen Beijing University of Technology fMRI classification
Tzu-Chieh Chen UC Berkeley MRI, machine learning
Yuhua Chen Cedars-Sinai Medical Center deep learning, super-resolution, image enhancement, MRI
MINGXUAN CHEN Infinity Lab Alzheimer Disease; Text mining
Yong Chen University of Pennsylvania neurological diseases, MRI, PET, multi-source data analysis, biomarker
Kerwin Chen Acer MRI, MMSE
Liu Chen Oregon Health & Science University Neural Networks
Gennan Chen Synarc Segmentation
xiangxin chen XMU SVM,PSO,Classification,Optimization
Buxian Chen Sun Yat-sen University study a paper, ADNI
Yicheng Chen UCSF Deep Learning
Ming Ting Chen National Cheng Kung University Alzheimer's disease
kuan-ting CHEN National Taiwan University ADNI
Shuai Chen Erasmus Medical Centre TADPOLE, Alzheimer's Disease Prediction
jiayu Chen ETHz visual feature attribution; MRI, AD
Liang Chen University of Macau miRNA, biomarker
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Jian Chen ShangHai JiaoTong University symptoms, medicine
Keping Chen Southeast University biomarkers, criculating,Alzheimer’s disease
Yizhou Chen Zhejiang University of Technology CycleGAN,synthesis
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
Timothy Chen University of Chicago model, predict, Alzheimer's disease
Qibai Chen University of Science and Technology, Beijing pattern recognition, classifier
Bo Chen Fudan University Graph theory, mental illness
Wei-Jie Chen zhejiang university of technology multi-task learning; feature selection; support vector machine; data anaylsis
jing chen pennsylvannia state university arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Linlin Chen Xidian University academic research on medical images
Chunling Chen Harbin Engineering University Alzheimer's disease
Hirotoshi Chen Zhejiang University protein protein interaction, network integration
Ting-Huei Chen Laval University structural equation modeling
Haifeng Chen Affiliated Drum Tower Hospital, Nanjing University Medical School memorry function; rTMS; multimodal neuroimaging
Yuqiao Chen University of Texas at Dallas relational continuous model
Frank Chen Nanjing University Alzheimer's disease MRI gene environment
Jiali Chen Zhejiang University of Technology Hippocampus detection
bin chen University of Houston deep learning,predict
Jerome Chen Chang Gung University Deep Learning, Alzheimer’s Disease, MRI, FMRI
Gang Chen Medical College of Wisconsin fMRI, MRI
Yating Chen Wenzhou Medical University segmentation
Quan Chen Shanghai Jiaotong University quantitative t1w t2w
Irene Chen MIT machine learning, subtypes, disease progression
Hannah Chen Massachusetts General Hospital Alzheimer's disease, machine learning, deep learning, big data
Fang Chen jackson state university image deep learning Alzheimer's
Shihui Chen The University of Hong Kong connectivity analysis
Xu Chen University of North Carolina MRI segmentation
Chen Xiaoshun Chen Xiaoshun Jiangsu University SICE、ADNI
CHAO-WEI CHENG National Taiwan University of Science and Technology Generative Adversarial Networks, Deep learning, disease diagnosis
CongCong CHENG Zheng Zhou University watermarking
Pujin Cheng SUSTech research with Machine Learning
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
MengChe Cheng Acer Inc. Deep learning
xiaoqin Cheng Zhongshan hopsital, Fudan University AD,high heterogeneity, rapid progression
jcheng1 Cheng Rutgers University Statistical analysis, data mining, prediction
Hewei Cheng School of Informatics AD, MCI, fMRI, DTI, MRI
Jing Cheng southwest University in China brain network, fMRI, AD
Xu Cheng East China Normal University Medical image registration
Yang Cheng University of Shanghai for Science and Technology DTI
Jing Cheng southwest University in China brain network, dti
Weili Cheng North China University of Water Resources and Electric Power Time-dependent ROC curves with missing biomarkers
Tanya Chenhall Cogstate Cogstate
Du Chenping Sun Yat-sen University data
Liu Chenyang HongKong University AD;inverse covariance;
Chen ChenYuewei Shanghai Maritime University rest-fMRI,depression
Bo Cheon Samsung Medical Center Tau and amyloid image
Bo Cheon Samsung Medical Center Tau
Petr Cheremencov SpbSpu mri, ct, medical imaging
William Chern California Polytechnic State University, San Luis Obispo AD diagnose
Venkateswararao Cherukuri PENNSTATE UNIVERSITY Super resolution
Anthony Chesebro Columbia University Network Model, Alzheimer's
Yuen Chung Cheung Hong Kong Polytechnic University Molecular Imagin
Eva Cheung University of HK MRI PET AD MCI
Aparna Chhibber Merck Research Labs biomarker genetic
haoyuan chi sjtu deep learning, feature representation
Lumay Chiang Novartis PET, SUVr, longitudinal
Gloria Chiang UCSF DTI
Yuhei Chiba Yokohama City University Immunoogy autoantibody MRI
Patrizia Chiesa ICM rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Makoto Chikaraishi Hiroshima University Transportation
Geetha Soujanya Chilla A*STAR Segmentation
gaetana chillemi irccs attention, makers
Cherise Chin Fatt University of Texas at Dallas dissertation, fcMRI, cortical thicknes
Andrea Chincarini INFN longitudinal studies, MCI, network, atrophy measurements
Christopher Ching UCLA Urgent request for access
Monica Chiogna Università di Padova ROC surface analysis, verification bias, non ignorable missingness
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
HANNA CHO GANGNAM SEVERANCE HOSPITAL biomarker, imaging, alzheimer's disease
SangYeon Cho Medical school, Chungnam national university DEMENTIA
Donghoon Cho Kyungpook National University Deep Learning, Diagnostic , Korea
HyungJin Cho University of Southern California Alzheimer's Disease Neuroimaging Initiative (ADNI)
Soo Hyun Cho Sam Sung Medical Center Amyloid PET
Jung Cho CAIDE SYSTEMS, INC. deformable medical image registration
sang soo cho University of Toronto PET
James Choi Sabio Research Alzheimer Machine Learning Neural Networks
juyeon choi kbri protein fragile X
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Seo-Eun Choi University of Washington Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Yong-Ho Choi hanyang university Imaging genetics
Seoung-Ho Choi Korea University Deep Learning , Diagnosis
David Choi ITBA ICA, Alzeimer,
JiHye Choi Keimyung University bio
Kihoon Choi Hanyang university Imaging genomics, GWAS
Kyu Sung Choi Korea Advanced Institute of Science and Technology (KAIST) follow-up
Wooyeol Choi KAIST, Republic of KOREA MCI, Graph theory
Euna Choi Seoul National University DTI TBSS Early detect of Alzheimer's disease.
Sang Geun Choi Kwang Woon Univ. segmentation, deep learning
Anthipa Chokesuwattanaskul King Chulalongkorn Memorial Hospital Alzheimer's disease, mild cognitive impairment
Vishal Chopra JCVC Inc. Artificial Intelligence, MRI Scans, Alzheimer's
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
Edward Chou Stanford University Alzheimers, MRI, 3D CNN
Elizabeth Chou National Chengchi University, Taiwan machine learning, dimension reduction, similarity measure, classification
Chun-An Chou Northeastern University Network, MVPA
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
Francois Chouinard-Decorte McGill University brain structure, genetics
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Heiman Chow HKUST Glucose, AD, Risk
TAPAN CHOWDHURY Techno India disease
Samadrita Chowdhury University of Massachusetts,Lowell Graphs, CNN, PET, FMRI
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
Charalambos Chrysostomou The Cyprus Institute Machine Learning, Deep Learning
Hui-May Chu Anoixis AD patients
Yancy Chu Nanjing Tech University qwer1234
Kai-Hsiang Chuang University of Queensland CBF, basal forebrain, functional connectivity
Sun chuanzhu xi'an jiaotong university 864279
Jerold Chun Sanford Burnham Prebys Medical Discovery Institute Alzheimer, Downs, Multiple Sclerosis, Frontotemporal, Parkinson, ALS
chen chun SIAT brain network
Ai Chung King's College London genetics graph network
Yu-Min Chung College of William and Mary computational topology, topological data analysis
Wan Chuyu University graduation thesis
Darya Chyzhyk Inria connectome, functional connectivity
Nicholas Ciancio UAB hypertension, impairment, antihypertensives
Adam Ciarleglio NYU Medical School predictive model, MCI, cognitively normal, baseline clinical measures
Daniele Ettore Ciriello Orobix deep learning, nnets, wgan, disease map
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
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.
Brett Cohen King's College London MCI, MRI, phantom
Joseph Paul Cohen University of Montreal Generative modeling, computer vision
elisa colato Institution Karolinska Institutet AV1451 tau PET, MRI, PET, CSF biomarkers
Michael Cole Rutgers University-Newark cognitive control, resting state
James Cole Imperial College London Aging, Machine learning, T1, DTI
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
Meghan Collier Brown University cognitive, Trails B, predictors, dementia, AD, biomarkers
David Collier Eli LIlly and Company Ltd lipidomics
Joanna Collingwood University of Warwick Biomarkers Across Neurodegenerative Diseases Collingwood
Kimberly Collins Indiana University School of Medicine biomarkers, predementia, neurodegenerative diseases
Robert Comley Abbvie inc PET, MRI
Shan Cong Purdue University hippocampus, AD, MCI
Andrew Conklin Origent Data Sciences Machine Learning, Classification and Regression Modeling
Adam Connolly Invicro machine learning disease progression prediction
Joanne Conover University of Connecticut Aging, Alzheimer's disease, MRI, FLAIR-MRI
Ivona Contardo-Berning Stellenbosch University Multi-label classification
Devanie Coombs Belmont University Honors Thesis
Shanna Cooper VA San Diego / UC San Diego NPI, family history
Pascal Coorevits The European Institute for Innovation through Health Data (i~HD) data quality assessment tools
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
Joshua Cosman Pfizer Alzheimer's, Biomarker
Sebastian Costantino Instituto Radiologico Alzheimer learning teaching
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
Federico Cozza University of Salerno deep learning brain diseases multiview
Brian Cozzi Rush University Medical Center CNN, Machine Learning, SVM
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
Karen Crawford UCLA Laboratory of Neuro Imaging None
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
Iain Croall University of Sheffield Teaching volumetry
Etienne Croteau CRCHUS Sherbrooke University PIB, concussion, MRI
Mark Crowley University of Waterloo deep learning, anomaly detection
Carlos Cruchaga Washington University School of Medicine CSF, plasma, RBM, GWAS, whole-genome
Luis Cruz University of Coimbra Alzheimer
Carlos Cruz Arizona State University Biomarker
Math Cuajungco California State University Fullerton Neuroscience
ice cubepill null cv
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
Qian Cui Harbin Engineering University Alzheimer's disease
Chendi Cui University of Pittsburgh amyloid, tau, ApoE4
JIANAN CUI Massachusetts General Hospital medical image processing
Jing Cui C4X discovery sequencing
Nicholas Cullen University of Pennsylvania NFL, CSF
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
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
Amirhossein dadashzadeh faculity of computer science deep learning , convolutional neural network,medical image analysis
Jeffrey Dage Eli Lilly and Company Biomarkers
Joseph Dagher The MITRE Corporation T1w, MRI, identification, biometrics
Said Dahbour Jordan University Hospital/ University of Jordan Brain volume change, Alzheimer disease
Yinglong Dai Central South University human body simulator; input-output system;
Heng Dai Shenzhen Institutes of Advanced Technology methylation, illumina microarray, AD pathway
Olivia Dai Harvard University Alzheimer
Weiying Dai Binghamton University ASL and fMRI resting state and fMRI task
Mengyu Dai Florida State University classification
Ning Dai University of Minnesota regional homogeneity; fMRI data analysis; longitudinal
Shuang DAI The University of Manchester Classification, AD
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
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
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Ebenezer Daniel University of California Los Angeles MRI , fMRI, Machine Learning
Zinkert Daniel Uva Wellassa University Brain, Cortical Thickness
Christian Dansereau Perceiv Research, Inc. Biomarker, progressors prediction, cognitive decline
Eveleen Darby Baylor College of Medicine Alzheimer Disease
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
Burcu Darst University of Wisconsin, Madison Alzheimer's disease, cognitive function, metabolomics
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,
Sandhitsu Das University of Pennsylvania hippocampus MCI
Rajdeep Das National Institute of Technology, Calicut Gated Recurrent Units (GRU), Long Short Term Memory(LSTM), ANN
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Gautom Das Montgomery Blair Highschool PPMI neural networks model prediction longitudinal course
jessica dasari texila american university Diffusion tensor imaging
Shovon Dash Khulna University of Engineering and Technology,Khulna,Bangladesh Diagnosis of Alzheimer's Disease
Ashkan Dashtban University of Reading Medical Image Analysis
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
Khishigsuren Davagdorj Chungbuk National University data mining
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
Symphony Davis Indiana University School of Medicine Alzheimer's, Imaging
Eran Dayan University of North Carolina at Chapel Hill resting state, connectivity, machine 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
Leonardo de Geus PUCPR diagnosis, alzheimer, research
Johann de Jong UCB patient stratification, disease progression
IRENE DE LA CALLE POBRE Technical University of Madrid MCI, MRI
Javier de la Rúa Martínez Universidad Politécnica de Madrid Features extraction MRI module
Siemon de Lange University Medical Center Utrecht connectome, structural connectivity, Alzheimer, MCI
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
Niek de Schipper Tilburg University Data integrating, Simultaneous component analysis, gene-environment interaction
Eric de Silva University College London polygenic risk scores; cardiovascular disease
Alexandra de Sitter VU Medical Centrum Amsterdam MRI defacing skullstripping Alzheimer
Rashid Deane University of Rochester Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
William Deardorff Duke University statin, mild cognitive impairment
Dharmashloka Debashis IIT Bombay segmentation, deep learning.
Dominic DeBiaso McKinsey & Co Prodromal, Alzheimer's disease, machine learning, deep learning, patient segment
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
Omar Dekhil University of Louisville MRI, fMRI, ICA
JOHN Del Gaizo Medical University of South Carolina early-onset AD, verbal fluency, amyloid, neuropsychological testing
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
Xia Deng China AD
Jin Deng Shanghai Maritime University Study
chunyan deng southern medical university AD MCI
DADA DENG Sichuan university medical image
Xianqiong Deng Wayne State University machine learning, medical images
Yanjia Deng The Chinese University of Hong Kong MRI, visual function, MCI, AD
Hao Deng University of Chinese Academy of Sciences Student
Kristina Denisova Columbia University Medical Center structural and functional MRI
Dennis Deptula Immunobrain Checkpoint Clinical Trials, outcome measures, Alzheimer
Rezwan Derakshan urmia university data mining
Mouna Derbel CRNS Alzheimer Graph CNN multi-modalities
Gulcicek Dere Yeditepe University dwi
Juhi Desai In-Med Prognostics Segmentation
Hemal Desai St. Xaviers College Deep Learning
Vijay Deshpande IIIT Registration
Sameer Deshpande University of Pennsylvania Bayesian methodology, mixture modeling, spatial smoothing
Rahul Desikan Martinos Center for Biomedical Imaging MCI, MRI, morphometry
Avin deSilva Clear Brook High School Machine Learning
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
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
Ashish Dhumal Vspace Software Solution brain network, deep learning, early diagnosis, Alzheimer’s disease
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
Mamadou Diaby Alten regression test
Valeria Diaz University of Palermo Alzheimer's Disease, Cognitive Impairment
Mirella Diaz-Santos University of California, Los Angeles Cognitive reserve, using ADNI data as teaching example, Psychometrics Workshop
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
Samuel Dickson Pentara Corporation genetic risk validation meta-analysis SNP
Karl Diedrich Perkin Elmer Analytics correlation
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
Vanderson Dill Pontifícia Universidade Católica do Rio Grande do Sul Hippocampus Segmentation, Evaluation
xt Ding HeBei University Alzheimer's disease
Xiuhua Ding University of Kentucky group based trajecotry model , dementia, sleep apnea
Yukun Ding University of Notre Dame MRI; DNN-based image processing
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Xuetong Ding Hebei University alzheimer's disease
Camila Diniz IFPE Alzheimers disease, project
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
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
Alessandra Dodich Hôpitaux Universitaires de Genève Alzheimer's Disease; tau; cognitive reserve
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
Daniel Domingo Fernandez Fraunhofer SCAI Bioinformatics
Carmen Dominguez University of Florida PET
Frank Dondelinger Lancaster University lasso, prediction
Zhengchao Dong Columbia University deep learning, MCI, AD, NC
Li Dong University of Electronic Science and Technology of China classification, fmri
Jian Dong Harvard Medical School Diffusion MRI, white matter, beta amyloid
Sen Dong Ludwig Maximilian University of Munich Deep Learning
Aimei Dong QiLu University of Technology Alzheimer's Disease Diagnosis, Analytical methods,predictive methods
ZHANG DONG Nanjing University of Science and Technology Visualizing; CNN
Mei Dong University of Saskatchewan Bayes method, simulation
Ganggang Dong Xidian University DIAGNOSTICS
chao dong Northeastern University segmentation
Guozhu DONG Wright State University Factor ranking considering interactions
Yilan Dong Northeastern University brain network
liao dong wuhandaxue 123555love
Shuai Dong University of Electronic Science and Technology of China, Zhongshan Institute CapsNet
YANG DONG Yanshan Uniwersity dti
Claire Donnat Stanford University statistics; connectomics; dMRI; fMRI
Michael Donohue Keck School of Medicine of USC ADCS
Sri Donthineni High School Student Genetics
Lingraj Dora VSSUT brain tumor detection
Reuben Dorent KCL tissue segmentation machine learning
haoran dou shenzhen university deep learning
Mitchell Doughty McMaster University Controls, TBI
N. Maritza Dowling University of Wisconsin-Madison Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Andrew Doyle McGill University deep learning
Senan Doyle Pixyl PET, MRI, AI, Deep Learning
Bogdan Draganski CHUV voxel-based morphometry
Sorin Draghici Advaita meta-analysis, data integration, subtype discovery
Daniel Drake Columbia University elastic net, penalized regression, biomarkers
Derek Drake Harvard University AD
Jonathan Drake Alpert Medicial School of Brown University VCAM-1, vascular risk factors
Xiaofeng Du Xiamen university of technology Non-rigid image registration, multi-resolution image registration
Dongsu Du Henry Ford Hospital super resolution
Yuhui Du The Mind Research Network; Shanxi University Biomarkers, Classification, Clustering
yuhang du hebei university Resting-state fMRI; Functional connectivity; Alzheimer’s disease; Mild cognitive
Qianqian Du Taiyuan University of Technology pet image reconstruction
Jinglong Du Chonqing University MRI
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Kevin Du Xiamen niversity Academic propose
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Sejal Dua Tufts University fMRI, data analysis, PET, k-means, clustering, algorithm, neuroimaging
Zhongxiang Duan Beihang University CT MRI segmentation
peng duan University of Science and Technology of China segmentation
JUAN DUARTE UNIVERSIDAD NACIONAL DE COLOMBIA (UNAL) ALZHEIMER, MORPHOLOGY, DATA ANALYSIS
Kauê Duarte UNICAMP neural nets, ranking, content based retrieval
Paromita Dubey University of California, Davis Brain Connectivity, Alzheimer's disease
Shiv Ram Dubey Indian Institute of Information Technology, Sricity Image Retrieval, deep learning, feature vector, biomedical images
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
Ben Duffy USC QC
Carole Dufouil Inserm Dementia
Bernadette Duhan University of Texas at Arlington Machine Learning Image Upscaling
Juergen Dukart Hoffmann-La Roche PET MRI biomarkers diagnostic models
buaa duke Peking University Brain Parcellation, Brain Segmentation
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,
Duc Duong Emory University proteins, biomarkers
Tugce Duran Indiana University School of Medicine MRI and PET scans, genotypes
Aiden Durrant University of Lincoln Deep Learning, Computer Vision
Stanley Durrleman INRIA statistics, longitudinal, spatiotemporal data, image analysis, aging, brain
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
Gill Eapen Decision Options, LLC Artificial Intelligence, Decision Options
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
Rafael Eder Predict Vision dicom deep learning
Steven Edland UCSD APOE
Emily Edmonds University of California, San Diego Mild cognitive impairment; Neuropsychology
ANTOINE D EDOUARD Harvard University MCY&ALzheimer
Christine Edwards Mayo Clinic deep learning, interpretability, landmark detection
Carley Edwards Imperial College London Tau, Amyloid and FDG
Trygve Eftestøl University of Stavanger dementia, machine learning, deep learning
Bernhard Egger Massachusetts Institute of Technology WMH, Shape Modelling, Statistics, Growth Modeling
Graham Eglit University of California, San Diego survival analysis; progression to dementia; mild cognitive impairment; ATN Syste
Dagmar Ehrnhoefer BioMed X Innovation Center CSF, tau
Muhammad Ehtisham Ul Haq iiui alzheimer dataset
Simon Eickhoff Research Center Jülich Aging, Prediction, Transfer
LUCIANA EIDENSON IACA Laboratorios innogenetics
Nathan Einstein Harvard University Course project
Rami Eisawy Technische Universität München deep learning ad mci cortical thickness
Noushin Ejtehadi Iran University of Science and Technology DTI
Chima Eke Plymouth University Biomarker discovery
Shereen Ekhlas Cairo Univerity Alzheimer Disease, ADNI, MRI
Anders Eklund Linköping university Deep learning, multi modality, fMRI, dMRI, convolutional neural network
Ender Eksioglu Istanbul Technical University MR reconstruction, undersampled k-space data, sparsity based MR reconstruction
Mostafa EL HABIB DAHO University of Tlemcen Deep Learning, Classification, ADNI, Alzheimer
Karim El Hallaoui The University of Hong Kong Brain segmentation
Malek El Husseini Klinikum rechts der Isar Adversarial deep learning
Lamia EL-BESRI University Alzheimer
Fady El-Gabalawy BIDMC adni, machine learning, neural networks
fanny elahi UCSF Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
Ahmed Elazab Shenzhen University AD, biomarkers
Ghaidaa Eldeeb faculty of engineering cairo univeristy DTI
Fatmaelzahraa Elgamal University of Louisville Fusion, medical image analysis, early diagnosis of AD
Mohamed Elgendy Stony Brook University epilepsy
Yuri Elias Rodrigues UFRGS machine learning, distance based algorithms
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
Jeremy Elman UCSD Pupillometry, aging, dementia
Shaker ElSappagh Inha University Mobile health, deep learning
ahmed elsayad Mansoura University big data, big data analysis , big data processing
abdo elsayed assuit university rmi
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
Jurriën Embrechts amc machine learning
Mohammad Asif Emran Khan Emon Fraunhofer Institute for Algorithms and Scientific Computing SCAI Neuroimaging Analysis, LONI
Gabriel Emunah Tufts University cerebral deterioration
Corinne Engelman University of Wisconsin-Madison Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Rahim Entezari Institute for Research in Fundamental Sciences gan,anomaly
Gina Eom University of Toronto inflammation
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
Alveiro Erazo Universidad Nacional de Colombia Alzheimer Disease, Prediction, Artificial Intelligence
Basri erdogan Bogazici University Alzheimer's disease, deep learning, cnn
Mahdiyeh Erfanian Ferdowsi University of Mashhad statistics. SPC, profile monitoring
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
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,
Ferran Espuny Pujol University of East Anglia longitudinal cortical thickness, ANTs
ACHRAF ESSEMLALI Scil Lab, Sherbrooke University GCN, DEEP LEARNING, AD, CONNECTOME,
Karol Estrada Genothis genetics genomics alzheimers
Dhivya Eswaran Carnegie Mellon University hidden markov models, exploratory analysis
A Et EtPc Ad, MRI
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
Paul Expert Imperial College London Graph Convolutional Neural Networks, Complex Networks
Ahmed Ezzat Cairo University machine learning, ANN, MRI, EEG
Ali Ezzati Albert Einstein College of Medicine Volumetric, MRI, Amyloid, cognitive decline
saeid fa Qazvin Islamic Azad University image classification
Nathalie Fadel Columbia University Mailman School of Public Health fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
Muhammad Faisal King Fahd University Tadpole Challenge Data
Sylvain Faisan Icube Image processing, pattern recognition
Raul Falcão UFPE database, bioinformatics
Ariana Familiar UNIVERSITY OF PENNSYLVANIA machine learning, predictive modeling, diagnostics
Weina Fan Qufu normal university Research the Alzheimer's disease
ZHEN FAN Imperial College London Longitudinal amyloid tau
fanda Fan Institute Of Computing Technology Chinese Academy Of Sciences reasearch
Yong Fan University of Pennsylvania Pattern recognition; Machine Learning, Multi-site data
zhiwen fan Xiamen University MRI, DEEP LEARNING
Yong Fan University of Pennsylvania Pattern recognition
ZHEN FAN Imperial College London AD biomarkers PET MRI
Wenliang Fan Union Hospital, Huazhong University of Science and Technology BOLD data analysis
Yonghui Fan Arizona State University ADNI2-GO MRI data
Joline Fan University of California, San Francisco unsupervised learning algorithms, early predictors
Fan fanda Institute of computing technology, Chinese Academy of Sciences research
ZHOU FANG Chinese University of Hong Kong Deep Learnining, Alzheimer's Disease
CHAO FANG THE UNIVERSITY OF MANCHESTER machine learning, automatically detection
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
wang fang Zhejiang Pharmaceutical College 202020
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
David Fardo University of Kentucky Pathway-wide association, AD
Jeanfranco David Farfan Escobedo Universidad Nacional de San Antonio Abad del Cusco 12345
Muhammad Farhan Bahria University Islamabad, Pakistan Neural networks
Fadi Farhat New Jersey Institute of Technology machine learning, neural network, deep learning
Syed uzma Farheen VISTAS Alzheimer's
Bijan Farhoudi University of Calgary MRI
Sarah Farias University of California Davis cognitive reserve, cognitive decline
Gonzalo Farías Universidad de Chile synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Mohammadjavad Faridafshin Shiraz University image processing, AD, Classification, Machine Learning,
Bryn Farnsworth Independent SNPs, GWAS
Ammarah Farooq CEME NUST multiclassification, deep learning
Hamza Farooq University of Minnesota Diffusion MRI, Structural graph analysis, Alzheimer's Disease
Cathy Farrar Rockwood School District early onset dementia and plaque formation
Michelle Farrell Massachusetts General Hospital amyloid, cognitive decline, preclinical AD
Chloe Farrell King's College London Genetics; Neuroscience; Neurodegeneration; Neuroimaging
Lindsay Farrer Boston University School of Medecine gwas alzheimers meta-analysis adgc
maedeh fasihi ucf machine learning, classification, pattern recognition
fatemeh fatemehh tehran fateme
Sina Fathi Iran university of medical sciences CDSS, Alzheimer's disease, deep learning
Cristian Fatu University Transilvania papagal
Noel Faux IBM Research - Australia Biomarkers, prognosis, genomics, cognitive decline
Faiz Fauzan Singapore University of Social Sciences Progression of Structural Abnormalities in Autistic Brains
Amir Fazlollahi CSIRO ASL Perfusion
Ruben Fdz Universitat Jaume I Classification, Alzheimer
Marcelo Febo University of Florida diffusion MRI, Alzheimers, amyloid
Igor Fedorov University of California, San Diego SPECT, image reconstruction, deep learning
Andrea Feher Tilburg University tau-PET, CSF
Franklin Feingold Stanford University BIDS
Eden Feldman New York University Medical Center biomedical informatics
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
Sheng Feng Green Valley Research Institute DNA Seq, GWAS, ApoE
Brad Feng Capital Medidcal University Deep Learning; Alzheimer Disease
Xinyang Feng Columbia University AD imaging biomarker
Zhichao Feng The Third Xiangya Hospital of Central South University fzc2018xyyx
Christine Fennema-Notestine UCSD MRI, thickness, morphometry, shape analysis, PET
Frederick Feraco Walt Whitman High School Brain, correlation
darius Ferdows Mindsquare MRIs, Imaging,
Miguel Fernandes Faculdade de Ciências e Tecnologia of Nova University of Lisbon Classification
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
Sebastiano Ferraris University College London Registration algorithm, diffeomorphisms, stationary velocity field
Diego Ferreira UNIVERSIDADE FEDERAL DE SÃO CARLOS neuropsychology; Psychology studies; Alzheimer
Victor Ferreira Federal University of Rio de Janeiro Convolutional Neural Network, Machine learning,Alzheimer’s Disease
Francisco Ferreira INESC-ID machine learning, temporal mining, prognostic prediction, prognostic markers,
Hugo Ferreira Faculty of Sciences of the University of Lisbon Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Luiz Kobuti Ferreira University of São Paulo functional connectivity; resting state fMRI; aging
Constance Ferrero sorbonne thesis
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.
Teresa Filshtein University of California, San Francisco genetics, Friday Harbor
Caleigh Findley University of Colorado Colorado Springs AD, MCI, APOE4, memory, executive functioning, tau
Giorgio Finesi Sapienza Deep Learning
Elizabeth Finger University of Western Ontario NPI, MRI, PET
Tatiana Finley Los Alamos National Laboratory deep sparse coding, alzheimer's disease, early detection, multi-modal model
Sean Finn Tekever image processing quantification
Nicholas Firth UCL Event-based model
Christopher Fischer Sanford Health NA
Florian Fischer Universtiy Medical Center Mainz Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Jonathan Fisher Harvard University alzheimer
Simon Fitall Galileo Analytics LLC Data visualisation, data analytics, alzheimer's
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
Blair Fleet Michigan State University Image fusion, Alzhemier's, Sparse Representation, Evolutionary Computation
Greg Fleishman LONI IGC, LONI, PAUL THOMPSON, GREG FLEISHMAN
Darren Fletcher Newcastle University fMRI, brain activation, mathematics
Evan Fletcher UC Davis Cognitive Reserve, Psychometrics Workshop
Nicolas Florez Uniandes TADPOLE
Mateusz Florkow UMC Utrecht Virtual CT; Deep learning; Paired CT/MRI
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
Mark Folkin KPI medical, surgery, operation, patient
Cynthia Forgeron St. Francis Xavier University machine, learning, biomarker, regions, of, interest
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
Belén Fos Guarinos QUIBIM deep learning, medical imaging, diagnosis
Chris Foster UT Dallas | Center for Vital Longevity Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Lauren Foster University of Manchester FLARE, T1W, hyperintensities
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
Benjamin Franc University of California, San Francisco PET, FDG, fluorodeoxyglucose, chemotherapy, brain, hypometabolism
Silvia Franchini University of Palermo Alzheimer disease, hippocampus, texture segmentation
Javier Franco Pérez Openanalytics FNIH Biomarkers Consortium
Mark Fraser Australian National University harmonized Hippocampal protocol, manual segmentation
Mark Frasier Michael J Fox Foundation CSF, biomarkers, neurodegeneration
Scott Fraundorf Southern Illinois University Edwardsville clustering
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
Joshua French University of Colorado Denver principal components, isotropy
Milana Frenkel-Morgenstern Bar-Ilan University Alzheimer's disease, CCR5
Yun Freudenberg-Hua Feinstein Institute of Medical Research AD genetics, loss-of-function variants
Christian Freytes Florida International University alzheimers
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 UCB machine learning
Karl Frontzek University of Zurich deep learning, alzheimer's, metabolomics
Robert Frost University of Utah PET, atypical dementia, neuropsychology
yu fu lanzhou university longitudinal brain changes; MCI;AD
Xianjun Fu Shandong University of TCM AD &TCM
Pan Fu Taizhou First People’s Hospital Alzheimer's disease, synaptic degeneration, clusterin
Zhihui Fu Shanghai Jiao Tong University Alzheimer Disease, Convolutional Neural Network
Aslan Fu BJUT MRI
ke fudao Beihang University kai6849868
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
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
Cory Funk Institute for Systems Biology Alzheimer RNA-seq WGS
Ansgar Furst Stanford University Alzheimers, TBI, Veterans
Jessica Fuselier IUPUI GWAS, Alzheimer's
Anirudh G Philips MRI to CT
abdallah gad misr university AD-MCI-NC - machine learning - classification - feature extraction
Jin Gahm USC Surface mapping
Niharika Gajawelli USC fMRI, MRI, AD, MCI,
MEHUL GAJWANI UNSW Student, machine learning, neuroscience
Caterina Galandra School for advanced study IUSS-Pavia Alcohol
Paola Galdi University of Salerno networks, multi-modal data, classification
Liisa Galea University of British Columbia APOE, Pregnancy, motherhood, hormone therapy, inflammation
Daniel Gallichan Cardiff University multi-contrast image visualisation
Paul Gallins NC State University data integration neuroimaging genetic
Marian Galovic UCL longitudinal, epilepsy, progression
Marta Galvani Università di Pavia machine learning; classification; features selection
Amr Gamal Faculty of Engineering, Alexandria University Deep learning, Computer vision, TADPOLE
Dragan Gamberger Rudjer Boskovic Institute data clustering, subgroup discovery, intelligent data analysis
Wei Gan National University of Singapore Ensemble algorithms, Machine Learning, Combining classifiers, Con-tinuous
Lin Gan Illinois Institute of Technology DTI, image registration
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
Reema Ganotra YMCA University of Science and Technology Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Och Ganzorig Inha university ADNI
zhiao gao Guilin University of Electronic Technology graduation design
Yurui Gao Vanderbilt University functional connectivity
Xiao Gao University of California, San Francisco atrophy, cognition
Yang Gao The University of Queensland deep learning, undersampling
Fei Gao University of North Carolina at Chapel Hill Biomarkers, Joint modeling
Yuyuan Gao Guangdong General Hospital Alzheimer’s disease; Biomarker; Blood; spinal fluid
ruiqi Gao Harbin Engineering University research
ann gao Cyagen Biosciences Deep Learning
feng gao SHANGHAI MORROW AI CO.LTD TADPOLE
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
Yuanyuan Gao sothern medical university PET MRI
Yue Gao Harbin Engineering University Writing a paper.
Yufei Gao Beijing Normal University transfer learning, multimodal brain images analysis
Lei Gao Neuroimaging and Informatics Institute classroom exercises
X. Raymond Gao University of Illinois at Chicago Age-at-onset, Genetics, Statistical methods, Polygenic risk score
Sara Garbarino UCL Network diffusion models
Carlos García Universidad Rey Juan Carlos charlie1eso
Kara Garcia Indiana University School of Medicine surface registration, longitudinal, cortex, shrinkage, biomechanics
Miguel Garcia Boehringer-Ingelheim historical controls, placebo, disease modelling
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Gracian Garcia Quiron PET; SPM; templates
Yiliet Garcia University of Brasilia at Gama Compressive sensing, PET, medical imaging, prior information
Julián García Universidad de Sevilla PET
Alberto Garcia Salguero University of Granada Alzheimer
Mar Garcia Valero Fundació Ace Endophenotype study
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
Valentina Garibotto Geneva University Hospitals FDG PET, tau, Ab42, CSF
Ángela Garrido Pascual Universidad de Sevilla medical digital image processing
Eduardo Garza-Villarreal Instituto Nacional de Psiquiatria diabetes, imaging genetics, neuroimaging
Grant Gasser Baylor University data science, machine learning, research project, neural network, R, Python
Vincent Gaudet University of Waterloo iterative algorithms, belief propagation, stochastic computing
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Barzin Gavtash Loughborough University Nasal cavity - CFD - Drug delivery
Jodie Gawryluk University of Victoria white matter, MRI, DTI, cognition
Pastel Gbetoho Harvard Extension School Harvard Extension School machine learnin project
xinting ge LONI hippocampal formation, brainstem
xinting ge LONI Neuroimage
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
Shufei Ge Simon Fraser University Associations study, Group Lasso ,spatial correlation structures
Hugo Geerts In Silico Biosciences Quantitative Systems Pharmacology
Claudio Gentili University of Padova SVM, Depression, Cognitive functions
Andrew Geoly INI TBM
Claudene George, MD, RPh Albert Einstein College of Medicine ACE Inhibitors, Dementia
Konstantinos Georgiadis University College London computational models, simulation
Loraine Georgy McGill University (Montreal Neurological Institute) Cortical thickness; blindsight; hemispherectomy; lesions; visual systems
Richard Gerkin Arizona State University teaching
Neil Getty ANL tbi, transfer-learning, medical-image-analysis
Olivier Gevaert Stanford University deep learning multi-scale modeling
Amin Ghaemmaghami Mashhad university of medical science Alzheimer
Mina Ghaffari Macquarie University PET MRI ASL T1W Deep Learning
vahid ghanbari Amirkabir University of Technology Alzheimer - deep learning
Mohsen Ghanbari Erasmus University Medical Center NFL, GWAS, Alzheimer's disease
Amirhossein Ghaznavi Islamic Azad Science and research data access, convolution nueral network
sailee ghodekar K.J.Somaiya brain
Ghazale Ghorbanzade Isfahan University of Technology Alzheimer’s Disease, DTI Imaging
Reyhaneh Ghoreishiamiri University of Alberta Early diagnosis
Nachiket Ghorpade Pune Institute of Computer Technology CNN, Deep learning
SUKANTA GHOSH JADAVPUR UNIVERSITY detection of Alzheimer's Disease
Kaushik Ghosh University of Nevada Las Vegas Bayesian analysis, tractography
Spandan Ghosh Institute of Engineering and Management Semantic Segmentation
Ankur Ghoshal JU Segmentation
Luca Giancardo University of Texas Health Science Centerat Houston machine learning, longitudinal connectomes
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
Jorge Mario Gil Valencia Universidad Tecnológica de Pereira DTI, Pain
Sascha Gill University of Calgary Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging,
Daniel Gillen UC Irvine Statistical Methods; Case-Cohort; Nested Case-Control; Survival Analysis, CSF
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
Juan D. Gispert Fundació Pasqual Maragall Partial Volume Correction,
Giovanni Giulietti IRCCS Santa Lucia Foundation magnetic resonance, DTI, Alzheimer, mild cognitive impairment
DESPINA GKATZIOURA NCSR Demokritos Internship, Demokritos
Kelly Glavin University of Pittsburgh alzheimers, tract, metrics
Brad Glazier Indiana University Imaging, Genetics, Biomarkers
Arnaud Gloaguen Neurospin Multi-way, CCA, Classification, Integration
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
Justin goding UMass Medical School Brain imaging, SPECT, XCAT
TRIPTI GOEL National Institute of Technology, Silchar feature extraction, classification
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
Dilek Goksel Duru Istanbul Arel University ANN, CNN, feature extraction, biomarker
Soroosh Golbabaei university of tehran alzheimer disease, Mild Cognitive Impairement, Connectome, Graph Analysis
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
Laleh Golestani Rad Northwestern University finite element modeling, tDCS
Sepehr Golrizkhatami Fraunhofer Institute Event-based modeling, mechanism validation
Jesus Gomar Northwell Health Amyloid PET
Sara Gomes FEUP Alzheimer, Image analysis
Rodrigo Gomes de Souza UFPE machine learning; azlheimer; early diagnosis
Isabel Gomez Consorci Sanitari Integral Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
JUAN PABLO GOMEZ GONZALEZ QUBIOTECH HEALTH INTELLIGENCE MRI volumetry, Alzheimer's Disease
Aracely Gomez Lizaga Universidad de Zaragoza class work, university, TADPOLE
Martin Gomez Ravetti Federal University of Minas Gerais multiplex networks, difussion
Vanessa Gomez-Verdejo Universidad Carlos III de Madrid machine learning, mri
yasmin Gonella Ms cognitive reserve, cognitive reserve measurement,
Enhao Gong STANFORD UNIVERSITY Deep Learning, Compressed Sensing
Kuang Gong Massachusetts General Hospital Deep learning, AD, MCI
Kuang Gong Massachusetts General Hospital Partial volume correction PET
zhaoxuan gong shenyang aerospace university segmentation
Hoyt Gong University of Pennsylvania Precision Medicine
Shi Gongming Beijing University of Technology MCI,AD.
Julie Gonneaud McGill University Family history, Alzheimer's Disease, Biomarker, Preclinical
David Gonzalez University of Texas Health Science Center at San Antonio FAQ, NPI, psychometrics
Willy González Universidad de El Salvador Profesor, Psiquiatria, Neurociencias
Clio Gonzalez University of Southern California Genetics, Neuroimaging
Gerardo Gonzalez University College London AD, Big data, Automated anomaly detection
Edgar González Universidad de los Andes Alzheimer
Camila Gonzalez TU Darmstadt Tadpole Challenge
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
Janakasudha Gopalan Sri Venkateswara College of Engineering Image analysis, Machine learning
Janakasudha Gopalan Sri Venkateswara College of Engineering Alzheimer's Disease, Brain image analysis, machine learning and deep learning
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
Dorothy Gors Kuleuven multivariate analyze, imaging genetics
Saransh Goswami IIT BHU varanasi sg
Mattias Göthlin University of Gothenburg, Institute of Neuroscience and Physiology Classification, prognostic accuracy, demography
Assaf Gottlieb UTHealth AD, FTD
Xanthippi Gounari University of Strathclyde Glasgow ADL, MRI scans, AD, MCI
Daniel Gourdeau Université Laval Radiomics,AD prognosis, machine-learning, texture analysis
Ankit Goyal Stanford U Brain MRI
SARASWATHY GR M S Ramaiah University of Applied Sciences Computational, Alzheimer's disease
John Graf GE Global Research kinetic system risk model PBPK BioDMET
Ariel Graff Universtity of Toronto depression, amyloid, PET
Jinko Graham Simon Fraser University multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Leah Graham The Jackson Laboratory Diffusion tensory imaging, myelin, obesity, cognition
Neil Graham Imperial College London TBI neurodegeneration atrophy
Kamil Grajski Nurosci, LLC Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP
Marilyn Grand'Maison Biospective PET, MRI, Alzheimer's, Cortical Thickness, AV45
Nicole Grant University of Victoria Depression Scores, Structural Scans, Atrophy, cortical differences
Massimiliano Grassi Villa San Benedetto Menni Hospital Machine Learning, Conversion to Alzheimer's Disease, MCI
Elena Grassi University of Turin eQTL, GWAS, transcription factors
Katherine Gray Imperial College London Alzheimer's disease; early diagnosis
Daniel Graziano Harvard University regression, modeling
Elisabetta Grecchi GE healthcare AD, amyloid, prediction
Robert Green Brigham and Women's Hospital and Harvard Medical School AD analyses
Elaine Green Plymouth University L1 elements, retrotransposons
Sara Greenfield UC Davis metabolites genome
Steven Greening Louisiana State University cognition; cognitive neuroscience; affect
David Greenstein Multimodal Imaging Services Corporation Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's
Daryl Greer Harvard University Education
Johannes Gregori mediri - medical imaging research institute MRI, ASL, PET
Michael Gregory NIH neuroimaging
Sarah Gregory University of Edinburgh Cortisol Diabetes HbA1c
Michael Greicius Stanford University genes, structure
Douglas Greve MGH PET
Joshua Grill UC Irvine informant
Stefano Giuseppe Grisanti University Of Genoa alzheimer cognitive reserve
Anthony Griswold University of Miami whole genome sequencing, ABCA7, VNTR
Stefan Grivalsky STU FIIT (SK) machine learning, computer vision, medical image processing
Vince Grolmusz Eotvos University vertex connectivity, edge connectivity, network flows
Colin Groot VU University medical center Alzheimer's disease, Voxel-based morphometry, psychometrics
Perry Groot Radboud University Nijmegen causal
Irme Groothuis University College London microbleeds, deep learning
Giuseppe Grossi Ryerson University Deep Learning, Computer Vision, Machine Learning
Matthew Gruen NYU School of Medicine Alzheimer's Anxiety MRI Hippocampus
Arne Grundstad AbbVie AbbVie ADNI
Xuejun Gu The University of Texas, Southwestern Medical Center radiation, representation learning
Zhengguo Gu Tilburg University bigdata, multi-block data, regularized simultaneous component analysis
Lihua Gu Southeast University Alzheimer's disease
haifeng gu Nantong University deep learning
DONG GU HNU DIR
cihey guan University of Electronic Science and Technology of China rsfmri
Yuanfang Guan University of Michigan manuscript submission
Cecilia Guariglia Università Sapienza dementia, cerebellum, mri
santwana gudadhe PCCOE alzheimer disease
Laura Guerrier INSERM Benson syndrom
Pamela Guevara University of Concepción white matter bundles, anatomy, machine learning
Barry Guglielmo Harvard University, T.H. Chan School of Public Health Deep Learning, Alzheimer's, biomarkers
Rajashekhar Gugulothu no company cancer
Pratim Guha Niyogi Michigan State University Statistical Models
Vincent Guillemot Institut Pasteur resting state ; MDS
Jérémy Guillon ICM brain connectivity, graph analysis
Abel Guimaraes Ryerson deep learning, Alzheimer’s Disease
sharvari gujja Wuxi NextCODE machine learning, deep learning, genetic drivers
Gaurav Gulati The NorthCap University Brain, A
Jyotasana Gulati Alkahest Inc. statistical learning, Alzheimers, Plasma
SARITA GULIA BANASTHALI UNIVERISTY RAJASTHAN ADNI, AD , BRAIN , MRI
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
DANFENG GUO CURACLOUD CORP Deep learning
weiping guo Beijing Normal University classfication,Euler Elastica Regularized Logistic Regression
Jiaming Guo Massachusetts General Hospital ordinal regression, progression of AD
Yanzhi Guo Sichuan University deep learning, Alzheimer's disease, computer-aided therapy
Tong Yu Guo NorthEastern University deep learning
Yanrong Guo Hefei University of Technology classification , neuroimaging
Min Guo Shanxi University of Finance and Economics Baysian networks, brain connectivity
Yusheng Guo South China University of Technology asd123....
Ying Guo Emory University statistical learning, longitudinal analysis, integrative analysis
Aditi Gupta KUMC Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI
Rishab Gupta SUNY Downstate Medical Center Alzheimer Disease, Outcome, ethnicity
Akansh Gupta graphic era university research
Vinay Gupta University of Manitoba Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Pranav Gupta IIT BHU Results comparison with existing results
gaurav gupta Shoolini University Alzheimer image segmentation machine learning
Yubraj Gupta Chosun university CNN, Alzheimer disease
Aarzu Gupta UCSF Alzheimer's, gender
Sanskriti Gupta The NorthCap University Alzheimer, fMRI, Deep Learning
Navin Gupta Indian Institute of Technology, Guwahati clinical subtyping, data driven, symptoms, independent component analysis
Gaurav Gupta USC Viterbi School of Engineering Alzheimer
SHLOMIT GUR Penn State University Evolving functional connectivity analysis, machine learning, graph theory
Mahmut Edip Gurol Massachusetts General Hospital CAA, cortical thickness, controls, AD
Jessica Gutierrez 1995 machine learning; predictions;
Jose Gutierrez Columbia University arterial diameters, beta amyloid, tau
Benjamin Gutierrez Becker Herr AD, MCI, Deep Learning, Early Prediction
Nuria Gutiérrez Sánchez Universidad Politécnica de Madrid Research, neuroloimaging
David Gutman EMORY UNIVERSITY mri dti adni
Boris Gutman University of Southern California DTI, diffusion MRI, Alzheimer's, human connectome
Holly Guvenli Okan University MCI, fMRI, entorhinal cortex, hippocampus
Q H Southern Medical University multi-modality, radiomics
wang h qfnu research
x h xia men university Alzheimer’s disease
Vanamala H Rajanna PES University texture, connectivity
Miriam Haaksma Radboudumc prognostic model; external validation
MARYAM HABADI UNIVERSITY OF SOUTH FLORIDA Statistical Modeling for Alzheimer’s Disease
Christian Habeck Columbia Un multivariate analysis, ROC curve, replication
Mohamad Habes University of Pennsylvania AD-like patterns, Brain Aging, White Matter Hyperintensities
Mallory Hacker Vanderbilt University Medical Center PDRP, PDCP, ADRP, FDG-PET
Adva Hadar Tel Aviv University, Sackler School of Medicine Alzheimer diseae, biomarkers
mohsen hadi shahid beheshti university of tehran alzheimer
Ravi Hadimani Virginia Commonwealth University Anatomically realistic head models, 3D head models, Brain phantoms
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
Yang Hai Central South University pre-trai, research
Thaddeus Haight UC Berkeley path analysis; amyloid; FDG-PET; longitudinal study
Sun Haijing Northeastern University sunhaijing798010
Ye HaiLi CASIA CV
habtu hailu Mangalore university medical image
Jiang Haitao USTC None
wu haitao University of Chinese Academy of Sciences wht2631342
wang haixing Southeast University deep learn , MRI
Adam Hajari Pandora Media classification sampling
ihab Hajjar Emory Univeristy inflmmationDTI
hamid hakim Amirkabir Functional connectivity , fMRI
zahra hakimelahi islamic azad university tehran branch idea-alzheimer's disease
hamed hakkak Islamic Azad University mri image
Jonathan Hakun Pennsylvania State University T2DM MCI AD DMN insulin resistance
Kim Hakyeong Seoul National University Hospital alzheimer's disease
Omar Halawa Harvard Medical School IADL, neuropsychiatric symptoms, tau PET
Anette Hall University of Eastern Finland Alzheimer’s disease, MCI, MRI, CSF, Computer-assisted diagnosis
Lin Hall Green Valley Pharmaceutical LLC test and develop
Drew Halliday University of Victoria DTI, neuropsychology
Kevin Hallock Pfizer Modeling, biomarkers
Amy Halpin University of Maine CSF biomarkers, cut points, demographics
Leontine Ham Erasmus Medical Centre Rotterdam Alzheimer, vascular dementia, disease modeling, biomarkers
Shah Muhammad Hamdi Georgia State University functional brain networks, mildly cognitive impairment, graph data mining
Rubi Hammer Assaf HaRoffe Hospital Aging
Tyler Hammond The University of Kentucky cognitive reserve, Alzheimer disease, aging, DTI, MRI
hentabli hamza Universiti Teknologi Malaysia medical image segmentation, Alzheimer’s Disease
Maryam Hamzelu Tarbiat Modares University Deep learning, machine learning
Liang Han Chongqing University early detection, MRI, MCI, AD, Artificial Intelligence
Hongjuan Han Shanxi Medical University AD data
fei han Shanghai Maritime University Alzheimer’s disease , mild cognitive impairment ,machine learning approach
Yu Han University of Vermont machine learning, feature prediction, diagnosis detection
Deng-Yu Han National Taiwan University Hospital nighttime behavior; sleepiness; beta-amyloid; PET.
Ruizhi Han University of Macau machine learning,Disease diagnosis
HioBeen Han KAIST None
Shizhong Han The University of Iowa GWAS, heritability, sMRI, and fMRI
Xiangmin Han SHU deep learning ,machine learning
Duke Han USC cognition, neuroimaging
Kun Han Harbin Engineering University Deep learning; AD
Palak Handa Mody University of Science and Technology research
Robert Handsaker Broad Institute copy number variation, disease association
Francis Hane Lakehead University AD prediction, APOE4, Bayesian
Alexandru Hanganu University of Montreal T1, fMRI, rsfMRI, DTI
sahar hanifi Amirkabir University of Technology datamining - MRI
Bernard Hanseeuw Massachusetts General Hospital Striatum hippocampus
Maria Hansen Technische Hochschule Mittelhessen Alzheimer's Disease, Neuronal Networks
Adam Hansen University of Minnesota fMRI
Catherine Hanson Rutgers University fMRI, brain networks, cognitive
Kevin Hanson University of Florida Machine learning, prediction, TBI, APOE, biomarkers
SOURABH HANWAT Christ university bangalore image processing
Meiling Hao Princess Margaret Cancer Center MRI, PET, fMRI
Zhiying Hao University of Electronic Science and Technology of China machine learning ; medical image processing
Wang Hao Tianjin University image processing ;machine learning;computer aided system
wang Haodong Northwestern Polytechnical University 6560065
Sun Haonan Northeastern University Alzheimer's disease
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
Sethulakshmi Haridas Viswajyothi College of Engineering and Technology Alzheimers disease stage recognition
deidre harp AU late life depression
deidre harp AU late-life depression
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
Breanna Harris Texas Tech University cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Jacqueline Harris University of Calgary Machine Learning, Neuroimaging, Psychiatry
Marc Harrison Stanford University resting-state fMRI, community detection
Brian Hart University of Minnesota School of Public Health functional connectivity longitudinal
Danielle Harvey Unversity of California, Davis biostatistics
Krysten Harvey Vanderbilt University Machine learning, neural network
Khader Hasan University of Texas Health Science Center at Houston diffusion tensor, CSF
Omar Hasan McGovern Medical School Brain Volumetry, Axonal Integrity, Diffuse Tensor Imaging, Cloud Imaging
MD RAIFUL HASAN The University of Southern Mississippi Alzheimer, Deep Learning
zeinab hasanvand Islamic Azad University Central Tehran Branch Alzheimer"sdisease, structural MRI, calssification
Jonathan Hasbani ITBA Neural networks, machine learning, Alzhei
Arsalan Hashemiaghdam Yale University Cognition, Alzheimer's disease
Jakub Hasiec Warsaw School of Economics Predictive modelling, data mining, Alzheimer's disease
Basma Hassan Faculty of Engineering-Cairo University Image Registration
Nada Hassan Ain Shams university Bioinformatics , Machine learning framework for early MRI-based Alzheimer's con,
Hamid Reza Hassanzadeh Georgia Institute of Tech Deep Learning, Multi-modal prediction
Kilian Hasselhorn University Koblenz-Landau power analysis; starting point
Nikki Hatamian University of California, Irvine diabetes, Alzheimer's, hippocampus, cortical atrophy
Sean Hatton UCSD MRI, data harmonization
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
RUHUL AMIN HAZARIKA NEHU Alzheimer detection using brain MRI
Nalini Hazra USC Alzheimer's
Jie He Ohio State University alzheimer's disease, amyloid beat
Lei He Sun Yat-sen Memorial hospital Alzheimer's disease
mengya he Sichuan University medical research
zhi he SYSU classification
Linchen He New york university Association test, binomial mixture model, complex disease, genetic heterogeneity
Tianshe He UNC CHapel Hill community detection, networks, clustering
Ke He Tsinghua University Registration, deep learning
xiaoxi he Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji 861130
Yao He University of Utah PET, FDG-PET, Focal AD
Jishuai He Northeastern University Of China personal study purpose
Huiguang He Institute of Automation, Chinese Academy of Scicences fMRI, DTI, Medical Image Processing
qi he Tianjin University method evaluation
Qiong He Zhongshan Hospital, Fudan University cerebral metabolism,PET-CT,AD
roh hedayati Esfahan University MCI+MRI+PET
Trey Hedden Massachusetts General Hospital Genetics, using ADNI data as a teaching example, Friday Harbor
Joseph Heenan IQVIA Statistical relational learning, Ensemble Methods
Mohamed Hefny Queen's University Medical Data Analysis, MUltisource data integration, Disease Understanding
Brianna Heggeseth Macalester College teaching
serve heidari SBMU fMRI
Ashley Heinson UCB Clustering, Biological Mechanism, Neurodegenration
Ali Hejazizo University of Alberta machine learning
hadeer helaly mansoura alzheimer
Samuel Henderson Accera Inc APOE, ADAS-Cog, MMSE
Judith Henf University Medicine Rostock cognitive reserve, hippocampal MD, healthy older adults
Rui Henriques Instituto Superior Técnico, Universidade de Lisboa Classification, Clustering
Adriane Henriques Universidade de Brasília Alzheimer disease, CSF, imaging, biomarker
Claudio Henriquez University of Manchester Alzheimer disease, MRI, PET, QDA, LDA, automatic diagnosis
Paul Herent Owkin #Brain age prediction #deep learning #CNN #machine learning #MRI
Lindsey Hergesheimer USC- KSOM data visualization
Renato Hermoza Aragones The University of Adelaide Deep learning, reinforcement learning, survival prediction, biomarkers
Raidel Hernandez Florida State University Training a convolutional neural network to recognize types of brain damage
Gerson Hernandez University of Arizona Alzheimer's, biomarkers, neuroimaging
Samuel Hernandez Weill Cornell Blood, 850k, bisulfite sequencing
Hernan Hernandez Concepcion University MRI, fMRI, dFMI, Ph.D
Monica Hernandez University of Zaragoza Computational Anatomy
Hector Hernandez Saucedo University of California, Davis cognitive reserve, usin ADNI data as a teaching example, Psychometrics Workshop
Luis Herrera University of Granada Deep Learning, Convolutional Neural Networks
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 University of Bordeaux Patch-based biomarkers, hippocampus, hippocampal subfields
Kelsey Hewitt Mercer University Education, Depression
Nargess Heydari Beni University of Waterloo Brain, Imaging, MRI, CT, PET
Derrek Hibar Janssen R&D PET, PIB, AV45
Derrek Hibar Genentech, Inc imaging genetics, cognitive decline, robust statistics
Steven Hill University of Cambridge risk stratification, risk prediction, statistical methods
James Hill Northwestern University Predicting Brain Age, Predictive Models,A lzheimer Detection, Brain Disorders
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
Naoki Hirabayashi Osaka Prefecture University Neural Network
Daisuke Hirahara Kagoshima Medical Technology College artificial intelligence
idir hired fortia FASTER R CNN
Toru Hironaka Massachusetts General Hospital Machine learning
Robin Hirt KIT deep learning, transfer learning, artificial intelligence
Yi-Yun Ho Cornell University machine learning
Dylan Ho CUHK Atlas, AD, Asia
Ngoc-Huynh Ho Chonnam National University Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
Jelte Hoekstra GoDataDriven alzheimer, explainability, cnn
John Hoffman University of Utah FDG-PET, SPM group analysis
Stefan Hoffmann Friedrich Schiller University medical image fusion, deep learning feature selection
Malte Hoffmann Martinos Center longitudinal morphometry Freesurfer
Timothy Hohman Vanderbilt University School of Medicine Genetics, Resilience, Asymptomatic,
Daniel Holder Merck Research Laboratories Biomarkers
Jess Holguin (OTD... not PhD) University of Southern California neuroimaging informatics genetics
Sean Holmes Invicro Hippocampus, Ventricle, MR, freesurfer
Robin Holmes University Hospitals Bristol Machine learning, VBM
Henne Holstege Amsterdam UMC Genetics, Alzheimer
Chae Moon Hong Kyungpook National University Hospital Amyloid, Alzheimer, white matter hyper intensity
yi hong the University of Hong Kong fMRI ADHD
Ye Hong Sichuan University brain connectome
chen hongjie Xiamen University Of Technology MRI Reconstruction
zou hongliang Nanjing University of Science and Technology research
Lawrence Honig Columbia University amyloid
Bradley Hooker AbbVie Machine Learning Texture-Based Analysis tau PET
Joost Hop University of Groningen MRI CT brain phantom
Paramate Horkaew Suranaree University of Technology Image Processing
Russ Hornbeck Wash Univ Sch Med - STL Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
Kyla-Louise Horne University of Otago Parkinson's disease, MRI, ageing, machine learning, biomarkers
William Horne IUPUI Prediction, Machine Learning, EHR
Steve Horvath University of California Los Angeles DNA methylation, SNP, epigenetic age, epigenetic clock, brain volume, MRI
Md. Imtiaz Hossain Islamic University, Kushtia student, masters project, academic purpose
Hadi Hosseini Stanford University big data, prediction
Tingting Hou 河南大学 Data sets
Jiaxin Hou Northeastern University Computer-aided Diagnosis of Alzheimer's Disease
Xianxu Hou Shenzhen University image to image translation
Katherine Houghton RTI Health Solutions biomarker, natural history, cost effectiveness
Richard Houghton F.Hoffmann - La Roche Ltd prodromal safety
Marion Houot APHP course statistics
Erin Householder Washington University School of Medicine : As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
Naomi Hoven Tilburg University thesis, master
James Howlett Medical Research Council EPAD Risk Modelling
Will Hsia Tsinghua University deep learning, segmentation
Jasmine Hsiao ACER cognitive frailty
Ing-Tsung Hsiao Chang Gung University Feature Extraction; Early Diagnosis
John Hsiao National Institute on Aging usability improvement
Ping-Chen Hsieh National Taiwan University adnideeplearning
Yi-Hsiang Hsu HARVARD MEDICAL SCHOOL GWAS, NGS, Machine learning, risk prediction
Zong-Kai Hsu Graduate Institute of Biomedical Sciences, China Medical University 2alxggdu
Hsiang Hsu Harvard stage (normal, MCI, or AD), cognitive tests
Eugene Hsu Massachusetts General Hospital fMRI Downs MCI AD
Li-Ming Hsu UNC at chapel hill gaphy theory, machine learning
Chih-Chin Hsu National Yang Ming Uniersity lifespan, diffusion, sex difference
QIntao Hu UCAS Alzheimer disease
Shuwen Hu Queensland University of Technology Longitudinal Machine Learning Method
yanting Hu Xinjiang Medical University medical image enhancement; deep-learning method
Jingyu Hu East China University of Science and Technology Multimodal medical Image
Qiang Hu Nanchang Hangkong University huqiang071635606
Helen Hu C2N Diagnostics, LLC fluid biomarkers
Edgar Hu East China Normal University Sky8023seA
Tom Hu UC Berkeley CNN, Tensor, Regression, Deep Learning
Rui Hu Oklahoma State University privacy, federated learning
yuanyuan hu Yunnan University deep learning, medical images, computer-aided diagnoisis system, mental health
Tao Hu Delft University of Technology Alzheimer's disease detection via fMRI image
Nan Hu Genentech biomarker; disease progression
Yanshi Hu Zhejiang University Parkinson's disease / motor symptoms, Alzheimer's disease
Shunbo Hu Linyi University Image registration and segmentation
Jianping Hu Fujian meidcal university ASL
wanqi hu xmu AD;mci;deep learning
Weichu Hu Nanchang University deeplearning GAN
jiaxin hu Zhongan Company ADNI
Qing Hu Northwestern University Machine learning solution, risk of Alzheimer
xiaoyu hu peking university fpca
Lingjing Hu Capital Medical University Texture analyze, VBM
Fei Hua Applied Biomath Alzheimer's Disease, mechanistic model, Abeta
Tao Hua Huashan hospital, Fudan university Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Rui Hua Southeast University deep learning,multimodal imaging,CNN
HUA HUA Kunming University of Science and Technology fMRI,DFC,Brain network
Alexandra Huamani Pontificia Universidad Católica del Perú CNN, MRI, Brain
lao huan GuangXi University deep learning;medical images;Alzheimer's disease
Tao Huan The Scripps Research Institute metabolomics
Yuhan Huang National Cheng Kung University Alzheimer's disease, Data mining
yi huang institute of automation, Chinese academy of sciences waite
Biwei Huang Carnegie Mellon University Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
Qi Huang Huashan Hospital spatial normalise
Chao Huang UNC multiscale adaptive regression model shape analysis
Yu-Hao Huang National Taiwan University VGG16, transfer learning, Resnet
Li Huang Institution 123456
weijie huang Beijing Normal University AD biomarker machine learning
Hsiao-Chen Huang UCSD brain image, VR, rendering
Meiyan Huang Southern Medical University association anlysis
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
Peiyu Huang Zhejiang University CBF, network
Rubby Huang Cornell University 1234567890
Edward Huang University of Illinois at Urbana-Champaign Network integration, EMR analysis
Jenny Huang cyagen AI Medical image
He Huang Lehigh University 3D skull Stripping
Zhen Huang Tongji University MOCA
Zhiyue Huang MRC composite
Yechong Huang Fudan University MRI, Machine Learning, AD, MCI
shangfo huang Beihang privacy-preserving
Yechong Huang Fudan University MCI, Machine Learning
Cedric Huang UESTC Machine learning
YUE HUANG XIAMEN UNIVERSITY MACHINE LEARNING, DEEP LEARNING, MEDICAL IMAGE ANALYSIS VALIDATION
Sikai Huang Columbia University AD, CNN
Yunyou Huang Institute of Computing Technology, Chinese Academy of Sciences classify, predict, Alzheimer's disease
Haiqing Huang University of Pittsburgh amyloid, PET
Chin-Wei Huang National Cheng Kung University alzheimer's disease
Baron Huang Northwestern Polytechnical University Deep learning,Recognition,MRI,Hippocampus
Xifen Huang Yunnan Normal University gamma frailty model
Yuhui Huang University of North Carolina at Chapel Hill Machine learning, image recognition, natural language processing
Susie Huang Massachusetts General Hospital Deep learning, super-resolution
Sikai Huang Columbia University ALzheimer's Disease; Deep learning
Malo Huard Paris-Sud Deep learning
Manuel Huerbin MIAC AG Morphometry
Andrew Hufton Springer Nature data-peer-review metabolomics
Jasmine Hughes Insight Data Science machine learning
Frank Hui Burnaby North Secondary School Convolutional Neural Network, Glioblastoma Multiforme, MRI scans, healthy brains
Willem Huijbers Tilburg University methods development, data science
Sjoerd Huisman Delft University of Technology imaging genetics, gene expression, bioinformatics, biostatistics
Stanley Hum Montreal Neurological Institute and Hospital Rasch analysis olfactory cognitive imaging
Noemi Hummel Analytica Laser disease modelling
Na-Teng Hung University of Illinois at Urbana Champaign computation
Xin Hunt SAS Institute Inc. machine learning, transfer learning, predictive model
Zhiguang Huo University of Florida statistical methodology, clustering algorithm, Alzheimer’s disease subtypes
Zhiguang Huo University of Pittsburgh Alzheimer's disease, metabolomics
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
Vojtech Huser National Institute of Health clinical research informatics, common data elements, data science
Rowina Hussainali Indiana university Demographic Neurocognitive
R. Matthew Hutchison Biogen Tau, Amyloid, functional connectivity, brain dynamics
Alexandre Hutton McGill University machine learning, prediction
Kevin Huynh Baker Heart and Diabetes Institute lipidomics, metabolomics
Seong Jae Hwang University of Wisconsin-Madison longitudinal, connectivity, amyloid, deep learning, uncertainty estimation
Jaeuk Hwang University of Utah brain age
Jihye Hwang Asan medical center time analysis
Emma Hyberts Boston University vascular health, Alzheimer's Disease
JUNGMOON HYUN Northwestern University- Feinberg School of Medicine Aging, dementia, brain, clinical data
Febin I P NITK, Surathkal, India restoration
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
Krystal Iacopetta University of Adelaide Neurodegenerative Disease, neuroinflammation, vitamin D
Esther Ibanez ISI Foundation topological data analysis
Aliaa Ibnidris University of Geneva MCI, AD, Hippocampal atrophy
Hamza Ichchou Ecole Centrale de Nantes Deep learning, machine learning, MRI
Samuel Iddi University of Ghana Alzheimer's, Joint Models, Prediction, Statistical models
Samuel Iddi Alzheimer's Therapeutic Research Institute of USC ADNI, TADPOLE, Alzheimer's
NAJLAE IDRISSI FACULTY OF SCIENCES AND TECHNIQUES BM MRI, AD, segmentation, classification
Alexandru Iftimie Politehnica University of Bucharest Dep learning
Takuma Igarashi Toshiba Medical Systems Corporation Volumetry, multi-contrast analysis
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
HAOUAS IKBEL ENISo ALZHEIMER
Otto Ikome Jackson Sate University Social determinants
Toshikazu Ikuta University of Mississippi DTI; tractography; genetics
Cecilia Im University of California San Francisco 3D Printing
Murali Krishna Immadi Potti Sriramulu Chalavadi Mallikarjuna Rao Engg college high dimensional Alzheimer’s disease databases,classification,severity
Shah Imran Dhaka University of Engineering and Technology thesis
Umer Imran National University of Sciences and Technology (NUST) 145236
Erhan Ince Eastern Mediterranean University AD, CAD, sMRI
Silvia Ingala Amsterdam UMC amyloid, alzheimer, MR, imaging, T1
Marianna Inglese Imperial College London radiogenomic, alzheimer disease
Philip Insel NCIRE power, rates of change
Azzurra Invernizzi University of Groningen Glaucoma subjects
Darius Ionut UVT python
Michael Iorga Northwestern University brain extraction, skull stripping, neural networks, machine learning
ana-maria iosif University of California Davis Neuropsychiatric Inventory, severity, longitudinal, informative cluster size
Nancy Ip The Hong Kong University of Science and Technology synapse, cell surface receptors, kinase
David Irwin University of Pennsylvania UDS, GWAS
Mrinal Ishant Artelus machine leaning
Manabu Ishida ERISA Co., Ltd. Alzheimer's Disease, MCI, Machine Learning, 3D Convolutional Neural Network
Makoto Ishii Weill Cornell Medical College biomarkers, metabolic hormones, preclinical
Kenji Ishii Tokyo Metropolitan Institute of Gerontology J-ADNI, PET, MRI
yosuke ishii Stanford University age
David Iskander mapd medical data
Jyoti Islam Georgia State University fMRI, Alzheimer’s Disease, Deep learning, CNN
BOUKLI HACENE Ismail Tlemcen university alzheimer, ADNI,PET,IRM
Aya Ismail University of Maryland Machine learning , classification
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
dheeba J Vellore institute of technology machine learning
Manjunath J Candiphi Healthcare Pvt. Ltd Alzheimer,MRI scans
amir jaberzadeh usc Hippocampus, thalamus, multiple sclerosis, MRI, 3DT1-weighted images
Grzegorz Jacenków The University of Edinburgh multimodality, machine learning, deep learning
sv jack individual MRI
shen jack zjut image segmentation
Chris Jackson Pieces Technologies, Inc. alzheimer's early detection deep learning neural networks
Jenith Jacob KCE Matlab
Samson Jacob New York University School of Medicine bioinformatics
David Jacobs University at Buffalo big data; neural net model; clinical epidemiology
Diane Jacobs UC San Diego MCI, Cognitive Composite, Rate of Change
Jörn Jacobsen University of Amsterdam Computer Vision, Bag of Words, Fisher, Machine Learning
Tanner Jacobson Indiana University School of Medicine GWAS, Multivariate
Thomas Jacquemont Institut du Cerveau et de la Moelle Alzheimer, SNAPs, DWI, connectomics
Nerline Jacques Georgia State University hippocampal atrophy, beta-Amyloid, tau, Family History.
Shruti Jadon Quantiphi Inc Research
Ralf Jaeger Eli Lilly and Company Limited Pharma, Pre-clinical Research, Neuroscience/AD, Statistics
reza jafari iauctb ADNI,ANN
Kourosh Jafari-Khouzani Massachusetts General Hospital FLAIR
Bushra Jaffar University of management and technology, Lahore , Pakistan 1234
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
Joseph Jahr Molecular NeuroImaging CSF, PET, Florbetapir
KAJAL JAIN KLE TECH project
Manju Jain Meerabai Institute of Technology alzheimer's, spm12, SMRI data
Ayush Jaiswal USC Structural MRI, MRI, Deep Learning, Machine Learning
Goran Jakimovski KTI Deep Neural Networks, computer algorithms, Machine Learning
Nikša Jakovljević University of Novi Sad, Faculty of Technical Sciences assistant professor, signal processing, pattern recognition, programming
Sharna Jamadar Monash University parenthood, cortical thickness, connectivity
Mahnaz Jamee INRP resting state fMRI, functional connectivity, mild cognitive impairment, DMN
Alex James Nazarbayev University imaging
LUIS JAÑEZ UNIVERSIDAD COMPLUTENSE DE MADRID machine learning, predictive models, SVC, DNN, Alzheimer's disease,
Cheongjae Jang Seoul National University DTI, positive-definite matrices, differential geometry, deep learning
Jinseong Jang Yonsei University deep learning
Hyemin Jang Samsung medical center, Seoul, Korea cognition, Alzheimer's disease, amyloid, tau
Jae-Won Jang Kangwon National University Hospital Visual rating scale, Brain MRI, Alzheimer's disease
Jinhee Jang Seoul St. Mary's Hospital, College of Medicine, The Catholic Univeristy of Korea Deep learning, Atrophy, visual assessment
Yashwant Jankay Ventech Solutions Deep Learning, Image Classification
Marcin Jankiewicz University of Cape Town DTI, Resting State, multimodal imaging
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
Iris Jansen VU University Genetics, polygenic risk scoring, alzheimer, gwas
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
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
Angela Jefferson Boston University Cognitive Performance, Aging
Irina Jelistratova German Center for Neurodegenerative Diseases (DZNE) amyloid pathology, amyloid-sensitive PET
Stephen Jenkins University of Strathclyde Functional connectivity analysis, cortical thickness, disinhibition, cognitive
Seun Jeon Montreal Neurological Institute & Hospital, McGill University reproducibility
Mingyeong Jeon Chonbuk National University GAN(Generative Adversarial Networks), Classification, Diagnosis
JinGyo Jeong Hanyang University Alzheimer
Yong Jeong KAIST fMRI, Resting State, DMN connectivity
SEUNG YEON JEONG KONYANG UNIVERSITY deep learning
Andreas Jeromin Atlantic neurofilament
Ketan Jethwa University of Nottingham Basal nucleus of Meynert
Abhilasha Jha Vellore Institute of Technology Convolutional Neural Network, Sparse Autoencoder
Ranjeet Jha Indian Institute of Technology Mandi Diseases, Disorder, MRI, fMRI
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
Chenhong Ji Leids Universitair Medisch Centrum registration
Hao Ji California State Polytechnic University, Pomona white matter hyperintensity, segmentation
zilong ji Beijing University of Technology machine learning diagnosis
huanhuan ji Guilin University of Electronic Technology classification
Zheng Jian XiDian University AD classification
hao jian Beijing University zhongwen
Hongliang Jiang Southease University, China AI, machine learning
Yuxi Jiang University of Warwick joint modelling, longitudinal process, event time analysis
li jiang BEIJING UNIVERSITY OF TECHNOLOGY image fusion,pet
Xiong Jiang Georgetown University Medical Center MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
Peihao Jiang Shaanxi Normal University brain function networks Alzheimer's disease
Yueyu Jiang Sun Yat-sen University CNN, medical image, Alzheimer's disease
Shaozhi Jiang University of Massachusetts Lowell Prediction, Deep Learning, Computer Vision
Xue Jiang College of Staten Island Computer Vision, Image Processing, Neural Networks
Wenhao Jiang The University of Hong Kong MRI, medical imaging, motion removal
Curry Jiang Central South University deep learning, medical image processing
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
Zhenhuan Jiang Shanghai Jiao Tong University School of Medicine GWAS study for patient subtyping
jingwan jiang ShenZhen university neural network;fMRI
Wenjing Jiang Northeastern University fMRI, structure MRI, MMSE, MCI
Junjun Jiang Harbin Institute of Technology image processing, classification, machine learning
Biguo Jiangnan Lanzhou University research
cai jiatong Shanghai Maritime University pet
zhang jiaxu jiangnan university medical image segmentation
wang jiayi BUAA Deep reinforcement Learning,image recognition
Han Jiayi FuDan Univesity TADPOLE; Machine Learning; Alzheimer's Disease; Mild Cognitive Impairment
ji jie Shantou University, GuangDong Province ,China deep learning
Juan Ramon Jimenez Alaniz Universidad Autónoma Metropolitana Iztapalapa image segmentation, pattern recognition
Carolina Jimenez Gomez Universidad Tecnológica de Pereira DTI, neural connections, quantitative analysis, degree project
Adolfo Jiménez-Huete Hospital Ruber Internacional Differential diagnosis; Gray matter volumetry
Antonio Jiménez-Marín Biocruces multi-scale brain connectivity, AD severity stages, neuropsychology
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
Ye Jin JIlin University AI,Data Mining
Yan Jin University of California, Los Angeles DTI
Zhuochen Jin Tongji University jzc5159746
Chengshi Jin UCSF ADNI datasets
Liu JIn Northeastern University 1998918ZMB
YIn JIn Justice Resource Institue PET Depression, antidepression medications
Honghe Jin UNIVERSITY OF GEORGIA FMRI, DTI
Deepak Jindal mait deep learning project
Liu Jindong Hunan normal university Function Link
Liu Jindong Hunan normal university Function Link
Liu Jinduo Beijing university of technology fMRI; AD;brain effective connectivity network;Bayesian networks
Liu Jinduo China brain network; effective connectivity; Bayesina network; AD
Bin Jing Capital Medical University fs-fMRI, sMRI
zhang jing nanchang university adni
pei jingjing yunnanminzu university Research, Graduation thesis design
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
Chen Jinqiu Guizhou University alzheimer1992
Jun Jo Griffith.edu.au Deep Learning
Sangkyun Jo KAIST Network Analysis; Graph Theory; Machine learning; Spinal cord;
Arthur Jochems Maastricht University Deep learning, radiomics, automatic segmentation
Karan Jodha Vellore Institute of Technology, Vellore CT-Scan,Alzheimer's disease
Pierre-Marc Jodoin University of Sherbrooke Diffusion, free water, hyperintensities, machine learning
Per Johansson Fleningevägen Centrum f Byggnadsvård Alzheimer, biomarker, diagnostic, hormones
Jubitta John Rajagiri school of engineering and technology,Kochi Deep CNN , Alzheimer ,MRI , multi-class classification
Stian Johnsen BrainMiner Ltd. CAD, AD, Software validation
Sterling Johnson University of Wisconsin-Madison tau, amyloid, pre symptomatic
David Johnson UC Davis Cognitive Impairment, longitudinal decline, Neuropsychology
Caleb Johnson The University of Texas at Austin University Student Research
Stephen Johnston Swansea University Prosopagnosia, VBM, MRI
Jane Johnston Neurotez Inc Leptin, clinical trial, Alzheimer's
Alireza Jomeiri Azad university, Marand branch Alzheimer's disease, PET
Lars Jonasson Umeå University FDG imaging methods
Richard Jones Brown University testing, practice effects
Sheldon Jordan Neurological Associates of West Los Angeles fMR, Resting, BOLD, Anatomical, ASL, DTI
Ryan Jordan Brain Health Registry (UCSF) ADNI, BHR
Anthony Joseph Unite Genomics, Inc. GWAS, disease progression, drug response models, machine learning, image analysi
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
Abhinay Joshi Avid Radio-pharmaceuticals, Inc. flrobetapir
Abhishek Joshi University of Washington computer vision
Himanshu Joshi National Institute of Mental Health and Neurosciences ApoE Neuroimaging
Shantanu Joshi LONI UCLA cortical distributions
Jitesh Joshi Tata Elxsi Ltd DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection
Anand Joshi USC MCI, cortical thickness
Božen Jovanovski Faculty of Computer and Information Science, University of Ljubljana MRI, deep learning, machine learning, MRI segmentation
Lin Jovi zjut competition
Freimut Juengling University Hospital Berne and PET/CT Centre Northwest Switzerland SPM, AAL, SSP, PVC
MARUTA JUMPEI Osaka city university graduate school of medicine deep learning
Jihoon Jun OCL fMRI, alzheimer
Wang Jun Xuanwu Hospital Affiliated to Capital Medical University AD,SCD,Neural imaging
Cao Jun Wuhan University of Scientist and Technology NifityNet Brain Parcellation
Kwanghee Jung Texas Tech University Quantitative
Kwan-Jin Jung University of Massachusetts Amherst functional connectivity
Wonmo Jung VUNO Alzheimer's Disease, Deep Learning
Ho Yub Jung Chosun University localization, machine learning, neural network
Merel Jung Jheronimus Academy of Data Science Deep learning, Medical image-to-image translation
Wonsik Jung Korea University sMRI, Alzheimer's disease
Dongjun Jung None sMRI
Jongsun Jung Syntekabio deep learning, hilbert, patient stratification, biomarker
Viv Junker Sheffield Institute for Translational Neuroscience Overview, Resources, AD, ALS, PArkinsons', MND
Wen Junling Shanghai university of traditional Chinese Medicine fMRI, hippocampus,functional connection
Li Junwei none fMRI ML
Roos Jutten VU University Medical Center Alzheimer's disease; composite scores; clinical progression
monika jyotiyana central university of rajasthan,Bandarsindri AD,neurodegenerative disorders,
RAGHAVENDRA K NIMHANS PET
L K UoY BA47, Alzheimers, hippocampus
Vishnu K Jyothi Engineering College, Cheruthuruthy, Thrissur TADPOLE challenge,neural imaging,alzheimer's disease,
gopinath k P.A.College Of Engineering and Technology alzheimer's disease detection
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
Iswarya K V Amrita Vishwa Vidya Peetham Complex network, diagnosis
RAMA KAALIA NANYANG TECHNOLOGICAL UNIVERSITY ADNI Genetic data, Gene Interactions
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
rahele kafieh isfahan university of medical sciences fmri, classification, graph
Bratati Kahali Centre for Brain Research IISc Cognitive scores, Clinical diagnosis, Demographics, Machine Learning
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
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
TAE-EUI KAM UNC Deep learning, AD, MCI, Classification
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
Josh Kaminker Genentech clinical trial
Adel kamli Linfi laboratory deep learning
Faeza Kamran Shaheed Zulfiqar Ali Bhutto University of Science and Technology (SZABIST) Alzheimer's Disease Prediction
Chi Nok Enoch Kan University of Minnesota Deep Learning
Aytuna Kandemir Ankara University machine learning
Nagaendran Kandiah National Neuroscience Institute dementia, stroke, small vessel
Tomoki Kaneko shinshu university visual rating system
Gregory Kanevsky H2O.ai ML research automl
MIN JU KANG Seoul National University Bundang Hospital Sleep, Amyloid, Alzheimer's disease
Ju Hee Kang Inha University A-beta42, tau, phospho-tau
jihye kang kisti Life Medical
Hee-Ju Kang Chonnam National University Hospital, Gwangju, K MCI, AD, genetics, sequencing
YUN SEOK KANG The Ohio State University Post mortem human surrogate
Jiayin Kang Huaihai Institute of Technology PET
Seung Kang SNU deep learning
Hyunseung Kang University of Wisconsin-Madison causal inference,
cheol kang SAS ANDI
Jiyoung Kang Yonsei University fMRI, DTI, PET, bioinformatics
Jian Kang University of Michigan Statistical methods, GPU
Kaidi Kang Johnson & Johnson Disease progression model
Hakmook Kang Vanderbilt University functional connectivity, spatio-temporal model
Do-Young kang Dong-A university hospital Resnet, transfer learning
Hyeon Kang Institute of Convergence Bio-Health, Dong-A University ML, AI
Nirmal Kannan Paavai Institute Alzheimer
balaji kannappan chosun university hippocampal subfield
Anuraag Kansal Evidera, Inc. simulation, model, clinical trial
Jayanth Kanugo University of Missouri CNN machine learning
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
Saurabh Kapur Indraprastha Institute of Information Technology Delhi Alzheimer, diagnosis, segmented MRI, PCA, SVM, PLS, ADNI database
Shubhashish Kar Bangladesh University of Engineering & Technology Research , Disease Progression Modeling
Pınar Karadayı Bahcesehir Unv. machine learning , ADNI
Vania Karami 1987 CAD system, Alzheimer disease
Akhil Karazhma Kottaram The University of Melbourne dynamic functional connectivity, resting state networks, defaultmode network,
Helmet Karim University of Pittsburgh brain age, gray matter density, onset variability
Rejaul Karim Michigan State U Research, data analysis
Hamed Karimi University image processing/deep learning
Hamed Karimi Amir Kabir University of Technology alzheimer, diagnosis, FMRI, neuroimaging, machine learning. Gene expression
Daniel Karlin Pfizer, Inc. Data, Transmart
David Karow Human Longevity, Inc early detection, integrated risk models
Chiheb Karray CNRS (Digital Research Centre of Sfax) Machine Learning, Data Integration, Biomarker Discovery
alireza kasaei Fudan University PET MRI T-test
Akihiro Kasahara University of Tokyo Hospital fast imaging techniques
Wataru Kasai Splink, Inc. MCI due to AD, MRI, Neural Network
kimia kasraian sbu resarch
Panagiotis Katsonis Baylor College of Medicine Evolutionary Trace
Rachneet Kaur University of Illinois at Urbana Champaign features, Alzheimer, Parkinson
Rachneet Kaur University of Illinois at Urbana Champaign Research, Clinical, Image Analysis
Prabhjot Kaur CU MRI, sMRI , sparse representation
daman kaur ulster university Alzheimer's disease
John Kauwe Brigham Young University mitochondrial copy number, Alzhiemer's disease, genetics
Martin Kavec home brain morphology
Mümine KAYA KELEŞ Adana Science and Technology University Data Mining,Brain MR,Alzheimer Diagnosis&Detection&Prevention,Image Processing
Safak Kayikci Abant Izzet Baysal University Image Processing Harmonization
Zahra Kazemi Tehran University of Medical Sciences mci, ad, pctchange, wmh
Anees Kazi Technical University of Munich Deep learning, data retrieval, machine learning
Rijan kc National college of Engineering 12345
Weimao Ke Drexel University searching, processing, classification
Hope Kean MIT/Harvard Med/MassGen Hospital data science, modeling, cognitive
Aman KEdia Birla Institute of Technology and Science deep learning, Convolutional neural networks
Anna Kędziora WUT ASL
ning kefu Wuhan International Joint Laboratory On Optoelectronics deep learning
Dorothy Keine Muses Labs mild cognitive impairment, Alzheimer's, decline, treatment
Thomas Kelleher Bristol-Myers Squibb Co exploratory analyses, clinical trial endpoints
Sean Kelley Trinity College Dublin network analysis, connectivity
Frauke Kellner-Weldon University norm data, quality control,
Tom Kelsey University of St Andrews Deep forest, CNN, biomarkers, clinical support
Bawar Kemal Rem Alzheimers Disease
kevin kennedy St. Luke's Hospital Kidney Function
Richard Kennedy University of Alabama-Birmingham Neuroimaging, genetics, discordant cognitive function
Nicole Chwee Har Keong National Neuroscience Institute Normal Pressure Hydrocephalus, MRI, DTI, biomarkers
justin ker nni diagnosis
Daniel Kerr Laboratory of Neuroscience - LIM-27 genetic, biomarkers, cognition
Ronak Keshavarzi Islamic Azad University of Tehran Medical Branch Alzheimer’s disease and inflammatory doseases
sanaz keshvari aziunivercity image processing
Shelli Kesler University of Texas MD Anderson Cancer Center cancer Alzheimer's connectome chemotherapy
Daniel Kessler University of Michigan Statistics, Machine Learning, DWI
shwet ketu BHU Health dataset
Kai Yin Keung City University of Hong Kong machine learning
April Khademi University of Guelph brain segmentation, white matter lesions
bijen Khagi Chosun University Bijen
mahsan khaleghi rad tehran university of medical science mci,tau,amyloid beta,medial temporal lobe
menna khalid Ain shams university graduation project - Alzheimer - bioinformatics
Abdullah Khalili University of Hormozgan White Matter Segmentation, Convolutional Neural Networks
Naseer Khan Northwestern Polytechnical University fMRI
Wasim Khan King's College London, Institute of Psychiatry AD, MCI, MRI, CSF
Afreen Khan Aligarh Muslim University Alzheimer's disease, machine learning, big data
irfan khan quest VDSR
Aqib Khan Air University ISML
RIYAJ UDDIN KHAN INDIAN INSTITUTE OF TECHNOLOGY, INDORE disorders
Ahmed Khan Thadomal Shahani Engineering College ahmedraza
anand khandekar vishwaniketan AD, MCI, Machine Learning
mohammad khanjani iust alzheimer
shaghayegh khanmohammadi tehran university of medical sciences MCI, alzheimer, biomarkers , PETscan, neuropsycological tests,
Shahrzad Kharabian research center Jülich replicability structure/function-brain-behavior association
Tatiana Khasanova Rancho Biosciences disease progression, neuroinflammation, biomarkers
Uttam Khatri chosun university classification of AD and NAD
Julia Khaw Trinity College Dublin Brain injuries, AD
Ammad ul Islam Khawaja NUCES image fusion
Ali Khazaee Babol University of Technology resting-state fmri
behnaz khazai university of southern california neuroimaging genetics
Andrei Khegai Alatoo International University Analysis, prediction
Mohamed Salah KHlif Florey Institute - Melbourne stroke AD hippocampus
Shahin Khobahi University of Illinois at Chicago Graph Signal Processing, Artificial Intelligence, Alzheimer's Disease
Mizanur Khondoker King's College London Machine Learning, Statististical Genetics, Imaging QTL
Sok Kean Khoo Grand Valley State University biomarker
mahapara khurshid IIIT, Delhi Research
Alexander Khvostikov Lomonosov Moscow State University Medical imaging, Deep learning, Image Fusion, Convolutional Neural Networks
Nadav Kiani Afeka Engineering, Project
Trisha Kibaya University of Trento Healthy controls
Steven Kiddle University of Cambridge statistics
Kelley Kidwell University of Michigan hypothesis testing, regression
haneol kijm Seoul National University volume entropy, metric graph, topological data analysis
Masashi Kikuchi MSD K.K. cognitive measurements progression
Masataka Kikuchi Osaka University eQTL, GWAS
Umit Kilic Adana Science and TechnologyUniversity alzheimer,brain
Ron Killiany Boston University School of Medicine regions of interest, neocortex, hippocampus, entorhinal cortex
Seungjoo Kim samsung medical center MBI
bohyun kim hanyang univerisy imaging genetics
Jeongchul Kim Wake Forest University Baptist Medical Center Brain imaging, Biomechanic, Deformaiton, MCI/AD
C. Kwon Kim Holmusk Alzheimer’s disease, predictive model, simulation, machine learning
Wook Kim Seoul National University Deep learning, AD, MCI
SOYEON KIM Ajou University graph, network analysis, alzheimer's disease, disease prediction
Sungeun Kim State University of New York imaging genetics
JEE WOOK KIM Hallym University Dongtan Sacred Heart Hospital subjective memory complaint, , Alzheimer's disease, MCI, cognitive normal
eunji kim alzheimer's consulting & services Alzheimer's disease
ChanMi Kim Asan Medical Center, Ulsan University School of Medicine MR image, PIB-PET, DTI tractography
Jun Pyo Kim Samsung Medical Center Machine learning, Tau PET
Chanwoo Kim University of Korea deep learning, machine learning
ki hwan kim KAIST deep learning, MRI, reconstruction
Young Ju Kim Samsung Medical Center (South Korea) APOE, cognition, MCI
Jeongsik Kim Samsung Medical Center FDG-PET; epilepsy, metabolic changes
Minseon Kim KAIST fMRI, Deep learning
Heeseok Kim Kangwon National University Hospital anxiety, MCI
jungjun kim korea university alzheimer
Heeyoung Kim Kosin University Gospel Hospital DTI, Amyloid, Alzheimer's dementia
YOONJIN KIM hallym university SCD, MMSE, MoCA
Donghyeon Kim Gwangju Institute of Science and Technology Dementia, Alzheimer's disease, deep learning
Jae Sung Kim Seoul National University Hospital Hypothalamus, Alzheimer
Daehan Kim Korea University alzheimer, sequential prediction
MINSEOB KIM KAIST Deep learning, VBM, prediction, computer aid diagnosis
Hwiyoung Kim Yonsei University College of Medicine AD prediction with deep learning
Minhee Kim University of Wisconsin, Madison prognostics; predictive analytics; Gaussian Process
Nakyoung Kim MIDAS IT freesurfer
Grace Kim Seoul National University Sex Differences, Alzheimer's Disease, Mild Cognitive Impairment
Jeonghun Kim Korea University neuroimage
DAE HYUN KIM VHS medical center seoul brain atrophy
Hang-Rai Kim Korea advanced institute of science and technology Amyloid, MCI, Deep Learning
Do-Hoon Kim Asan Medical Center Qunatification
Jongin Kim Gwangju Institute of Science and Technology machine learning, signal processing, sparse modeling
Sunghee Kim Gettysburg alzheimer, diabetes
IL KU KIM Griffith University DEEP LEARNING
david kim hanyang university Alzheimer's disease
Seong Yoon Kim Asan Medical Center MCI, Cortical thickness, US vs. Korean
Byung-Hoon Kim Korea Advanced Institute of Science and Technology (KAIST) fMRI, machine learning
Hyungjun Kim Soonchunhyang subjective memory impairment
Seong Yoon Kim Asan Medical Center cognitive reserve, brain reserve, conversion
Joseph Kim Seoul National University Deep Learning, multimodal registration
Sangwook Kim Korea university radiomics
Sung-Woo Kim Korea University Neurodegeneration, Amyloid, Tau
Wook Kim Korea Institutes of Radiology and Medical Sciences AD PET, MR, deep learing
SUNG WON KIM Yonsei University dementia
Do-Hoon Kim Kyungpook National University Hospital Quantitative method, amyloid PET
Jong Hun Kim Samsung medical center GWAS, biomarker, prediction
Manho Kim Seoul National University Hospital Alzheimer disease, Predict, Progression
sekeun kim Yonsei mri
Yejin Kim The University of Texas Health Science Center at Houston Cognitive assessment, medication
Chi-Hun Kim University of Oxford Race, APOE, Amyloid
Yangsik Kim Asan Medical Center follow-up, deep learning, Alzheimer's disease
Hyunjin Kim Yonsei University MCI, MVPA, functional connectivity, amygdala
Lisle Kingery CogState neuropsychology
Kaitlin Kinney University of Southern California Neuroimaging, Masters, University of Southern California
Jan Hendrik Kirchner Uniklinikum Freiburg ASL, machine learning
Jessica Kirkland Caldwell Cleveland Clinic Center for Brain Health hippocampus, memory, resting state, gender, amyloid
brock kirwan Brigham Young University hippocampus; MRI
Biomedical Research Team Kisti Korea Institute of Science and Technology Information Precision medicine, Alzheimer's disease , dementia research
chiemi kitamura FUJIFIRM RI Pharma Co.,Ltd. Amyloid
Lindsey Kitchell Indiana University White matter, shape, morphology
David Kiviat University of Florida deep learning, alzheimers
Gustav Kjellberg Royal Institute of Technology (KTH) Support Vector Machines Random Forest Naive Bayer Alzheimer's disease
Michael Kleiman SciKey Diagnostics, LLC deep neural networks, cognitive exam, alzheimer's, mild cognitive impairment
Alison Klein Johns Hopkins School of Medicine Control, Familial Pancreatic Cancer
Richard Klein Georgetown training
Gregory Klein Roche clinical trial
Gregory Klein Roche amyloid tau
Aaron Kleinman 23andMe parkinsons alzheimers
Bernard Kleynhans Harvard University data science, machine learning
Shelby Kline Beloit College Alzheimer's, hippocampus, cerebral cortex
Mitchel Kling University of Pennsylvania School of Medicine Stress, depression, disease biomarkers, disease progression biomarkers
Mitchel Kling Perelman School of Medicine, University of Pennsylvania metabolomics, phospholipids, blood-based biomarkers, metabobype-genotype
Joern Klinger biotx.ai GmbH machine learning MMSE
Jared Klug Boston University Alzheimer's Disease
Kristen Knight University of Georgia imaging genetics
Maria Knol Erasmus MC University Medical Center Neurodegeneration, high-dimensional data, brain imaging, genetics
Hyunwoong Ko Seoul National University Machine learning, Deep learning, Early detection
Kaori Kobayashi Osaka University Age at onset, AI, brain imaging
Tatsuaki Kobayashi Saginuma Neurosurgery CNN, AD
Lindsay Kobayashi Georgetown University Cognitive reserve, using ADNI data as teaching example, Psychometrics Workshop
Kazuma Kobayashi National Cancer Center Research Institute deep learning
Philipp Johannes Koch EPFL stroke, aging, connectivity, structural, functional
Forrest Koch UNSW DTI DKI NODDI WMH
Elena Kochova Vrije Universiteit Amsterdam amyloid, PET, cluster analysis
Ognjen Kocic Faculty Of Mathemathics, Belgrade Machine Learning, CNN
Loren Koenig NYU School of Medicine cerebral metabolic rate, glucose metabolism, amyloid-beta pathology
Lauren Koenig Washington University in St. Louis Aging; Atrophy; MRI; Alzheimer Disease
Kai Kohlhoff Google Disease progression, biomarkers, machine learning, multimodal
Juha Koikkalainen VTT Technical Research Centre of Finland spatial normalization
Vijaya Kolachalama Boston University School of Medicine AD, MRI
Arinbjorn Kolbeinsson Imperial College London machine learning, prediction, deep learning
Sarath Kolli Wipro Brain, Healthcare , AI
Oleksii Komarov Kharkiv National University of Radioelectronics DWT, SWT, WPT, Brain, Tumor
Rebecca Koncz University of New South Wales Amyloid PET; small vessel disease; MRI; DTI; CSF-Ab
Dehan Kong University of Toronto Neuroimaging Data Analysis
Lingli Kong Qingdao Mental Health Center FDG
Linglong Kong University of Alberta Alzheimer's Disease Neuroimaging Initiative, Corpus callosum, Fractional Anisotr
Wei Kong Shanghai Maritime University multi-omics data; feature extraction; transcriptional regulatory network
Xiangnan Kong Worcester Polytechnic Institute brain network, fMRI
Xiangzhen Kong Beijing Normal University practice
Xiang-Zhen Kong Beijing Normal University replication analysis
Filippos Konidaris National Technical University of Athens Machine Learning, Generative Adversarial Networks, Deep Learning
Marialena Konstantinopoulou university of thessaly greece final thesis
lee konsu sogang deep learning
Ender Konukoglu ETH Zurich method development, machine learning, patio-temporal models
Takahiro Konuma Japan Tobacco Bioinformatics
Krzysztof Kopera Intelligent Services sp. z o.o. AI; zygomatic bone; injury
Simon Koppers RWTH Aachen University dMRI, Deep Learning
Mary Ellen Koran Stanford Hospital CSF, amyloid, PET, Parkinson's
Matheus Korb Universidade Federal de São Carlos Hippocampus Segmentation, BIPGroup, Alzheimer Disease
Panagiotis Korfiatis Mayo Clinic Deep Learning, Segmentation, Cortical structures
Onerva Korhonen University of Lille functional brain networks, dynamic connectivity, multilayer brain networks
Ayad Korial University of Technology deep learining
Laura Korthauer Brown University norepinephrine, beta amyloid
mangesh kose NIT Raipur Alzhymeir decease
James Kost Merck & Co., Inc. Parameter Estimates, Cognition
Pavan Kumar Kota GE Healthcare Alzheimers
Deydeep Kothapalli University of Southern Calfornia FDG-PET
Tanay Kothari Stanford University machine learning, computer vision, deep learning
Alkis Koukos NTUA mri segementation fcnn research
MIchael Kozaczek Rutgers School of Health Professions, Newark NJ fMRI , PET, Fronto temporal Dementia, Alzheimer's, Herpes, P
kruthika kr Acharya institute of technology Brain print
Zarina Kraal University of Michigan Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Worranitta Kraisittipong Tokai university AD,MCI,DEEP LEARNING
Matthew Krause McGill deep learning, analysis, replication
Matt Kraybill San Francisco VA Medical Center Neuropsychology
Martin Kriebel NMI Reutlingen WGS, Neuroinflammation, TLR
Niharika Krishnan SRM Institute of Science and Technology, India Deep Learning, Alzheimer disease
Divya Krishnani IIIT Naya Raipur Alzheimer