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Investigator Institution Keywords
Nancy A Bharathidasan University Alzheimer, Classification, MCI
aasa aa weser executive function, exercise
nima aalizade RS Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Ardalan Aarabi UPJV fmri, dti
Mohammad Hadi Aarabi Tehran University of Medical Sciences Diffusion MRI
MOHAMED AATI UCAM CNN, Classification
John Aballi Molecular Stethoscope cfRNA
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
Bishri Abdel-Hamid Faculty of Engineering classifications,data resampling, big data, distributing processing
Mohamed Abdelaziz Delta Academy Ensemble learning , Spatial–temporal constraint
Ehab Abdelhamid Imperial College Clustering, big data
Carla Abdelnour Fundació ACE. Barcelona Treatment and Research Center Lewy body disease, biomarkers, cognitive profile
INES ABDENNAJI Universitat de les Illes Balears Alzahaimer
Bariqi Abdillah UI alzheimer computer vision
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
Aaron Abraham University of Calgary Non-negative matrix factorization, blood-based biomarkers, machine learning
Ethan Abraham Student 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
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
Viraj Adduru Rochester Institute of Technology volume, segmentation, 3d modeling
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
Paul Adlard The Florey Institute for Neuroscience and Mental Health Zinc, cognition, ageing, Alzheimer's disease
Trivikram Adurthi student to study brain abnormalities
mahdie afrasiabi islamic azad university,shahrood branch pattern recogniotion, data mining , MRI, Alzheimer
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
Deepak Agarwak Cornell University TADPOLE
Mayank Agarwal Lexical Informatics Machine Learning, Artificial Intelligence, Classification, Clustering, Feedback
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 florida international university denoising on adni
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
Hessam Ahmadi Islamic Azad University fmri, graph theory, alzheimer
mahdi ahmadi sahand university Alzheimer’s disease
mali ahmadi sutech dmn
Sara Ahmadi-Abhari Imperial College London Alzheimer's disease, dementia, SUVR, Amyloid, Neurodegeneration
Faisal Ahmed University of Liberal arts Bangladesh Project, Final Year, Alzheimer's,
Tahera Ahmed Bond University Alzheimer's, ADNI, Big Data, Machine Learning, Health Analytics
Samsuddin Ahmed BUBT Deep learning, AD
Juweiriya Ahmed Western University Psychosis, AD
Mihye Ahn University of Nevada, Reno classification
Yong Yeol Ahn Indiana University network, multi-omics, data integration
Sujin Ahn Gwangju Institute of Science and Technology alzheimer
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
Hameed Ajala National University alzheimer
yasmeena akhter IIIT Delhi ML, MRI, fMRI, Brain diseases
sharmen akhter islamic university abc
Zeynettin Akkus Mayo Clinic MRI
Alex Aklson IBM Canada Deep Learning, Classification, Alzheimer's Disease, Older Adults
Leon Aksman UCL structural MRI, longitudinal analysis, imaging genetics
Theophilus Akudjedu NUI Galway Subcortical, segmentation techniques,FreeSurfer, volBrain
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
Ebrahim Al Safadi Oregon Health and Science University image registration deep learning
Saad Al-Baddai Regensburg University Extracting features; Classification; Analyzing
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
John Alam EIP Pharma Episodic Memory, Longitudinal Change
RINAD ALANAKRIH Hanyang University neuroimaging, MRI, white matter hyperdensitites
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
Kelner Alex Colegiul National "Vasile Lucaciu" Regression
Aishwarya Alex University of Luxembourg Alzheimer’s Disease Big Data DREAM Challenge #1
Ali Alhamud UT aging, brain connectivity, volumetric morphological measurements
muhaddisa ali Chalmers University Preprocessing, FSL, Deep learning, classification
RAJMA ALI nit sikkim brain tumor
Shahzad Ali University of Engineering & Technology, Lahore, Pakistan MS Project Analysis
Sanam Ali Sunnybrook Research Institute rsfMRI; preprocessing optimization
Imdad Ali IIUI Classification
sana ali uet machine learning classification alzheimer
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
Shreshta Alladi University of southern california MRI, image detection, phantom, image type
Travis Allen Cornell Tech Machine Learning
Luz Maria Alliende Pontificia Universidad Catolica de Chile cognitive reserve, brain imaging
HANANE ALLIOUI Cadi Ayyad University alzheimer, brain , MRI, dicom
Ina Almdahl Oslo University Hospital Cerebrospinal fluid Amyloid Depression
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
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
Trevor Alvord Columbia University Tau Proteins, White Matter Hyperintensities, Alzheimer's
Mariam Aly Columbia University cognition, machine learning, pattern analysis, genetics
Yahyah Aman University of Oslo Alzheimer’s disease, mitophagy, biomarkers
Robert Amaral Douglas Mental Health University Institute hippocampus, white matter, Alzheimer's disease
Mythri Ambatipudi Saint Francis High School Machine Learning
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
Echtioui Amira enis ya allah1
Nicola Amoroso Università degli studi di Bari Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
Sabrina Amrouche CERN Machine learning pattern discovery mining
Yu An Capital Medical University meta-analysis, CSF AD-type biomarkers, original data
Jaehoon An Seoul National University GWAS, imageGWAS
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
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
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
Wes Anderson Eli Lilly and Company Alzheimer's pre-clnical research
Jeff Anderson University of Utah MRI, MCI
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
João Paulo Andrade Devezas Universidade da Beira Interior Alzheimer, Machine Learning, Convolutional Neural Network, Python, Diagnosis
Shea Andrews Australian National University Genetics, using ADNI data as a teaching example, Friday Harbor
Gerda Andringa University College Roosevelt, Utrecht University image analysis, independent component analysis, alzheimer's disease
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
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
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
Chatchawit Aporntewan Chulalongkorn University Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova IU AD biomarekrs
Dace Apsvalka Medical Reseach Council Hippocampus
Ghazal Arabidarrehdor 1994 Machine Learning, Alzheimer's, Dementia
Walid Aransa LIUM Deep learning
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 Institut de Neurosciences des Systèmes- INS Alzheimer's disease
Mohammad Arbabyazd INS reconstruction, virtualisation
Miguel Arce Columbia University Medical Center Genetics, using ADNI data as a teaching example, Friday Harbor
Kellie Archer The Ohio State University ordinal response; discrete response; high-dimensional data; penalized methods
Derek Archer University of Florida diffusion MRI, tractography
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
Jocelyn Argueta University of Southern California BRCA1, women's risk, genetic analysis, SNPs, gene expression
eric argus university deep learning
Franchesca Arias University of Florida cognitive reserve
Victor Arias University Simon Bolivar deep learning, alzheimer, iron maps
Carlos Arias FAR Institute machine learning
Yassine Aribi ENIS images
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
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
Thalida Arpawong University of Southern California Genetics, using ADNI data as a teaching example, Friday Harbor
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
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
saima ashraf karachi university progression
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
Per Aslaksen University of Tromsø Alzheimer, freesurfer, tDCS
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
Taylor Atkinson University of South Florida MoCA, media, test exposure
Hadia Atta University segmentation
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
Allan Avila University of California, Santa Barbara Koopman Operator, nonlinear dynamics, dynamical systems
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
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;
Tiago Azevedo University of Cambridge fmri mri clinical
HANI NAJIHAH AZIZ University Tun Hussein Onn Malaysia Alzheimer's Disease,Computer Aided Monitoring, Image processing,
Nasir Aziz Leiden University Medical Center body weight
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 neural network
fatemeh bahadoran babol noshirvani university of technology alzheimer fuzzy
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
John Baker Janssen R&D Diagonsis, Progression, Biomarkers
Paula Baker Saint Mary's University of Minesota dementia, Alzheimer's
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
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
sunjoo bang Ajou Univ key gene identification, genetic data, data mining
Seojin Bang Carnegie Mellon University diagnosis
Katherine Bangen University of California, San Diego vascular risk, cerebral blood flow, amyloid
Asish Banik Michigan State University Bayesian Computation
Sarah Banks Cleveland Clinic CSF neuropsychology
Leonie Banning Maastricht University Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Deepika Bansal NCU, Gurgaon Dementia samples
beatrice bao cheeroffice education limited company data
Owen Bao SCUT AD,MCI,PET,MRI
Zhao Baoqi Hangzhou Normal University research, verify paper
Sabeeha Baqui Al-Arqam College Preparatory Alzheimer's, MOCA, MMSE, MRI, application, Lumbar Puncture
Rita Barakat University of Southern California Stroke, TBI, brain injury, neurodegeneration, therapy
nourhan barakat tanta university ALZHEIMER
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
Beatrice Barbazzeni Max Planck Institute for Biological Cybernetics fMRI
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.
Giuseppe Barisano USC Stevens Neuroimaging and Informatics Institute Quality Control, MRI
Chandler Barnes Vanderbilt University machine learning, undergraduate
Josephine Barnes UCL Institute of Neurology hippocampus, whole brain
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
Abol Basher Chosun University Alzheimer
Rodrigo Basilio IDOR DNN Machine Learning
Shubham Basu VIT Chennai Alzheimer's Disease
Sumana Basu McGill University MRI
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Anirban Basu University of Washington, Seattle dementia progression, prediction, distributional statistics
Eloi Batalla Fundació Collserola magnetic resonances, alzheimer's disease
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
Christopher Bauer University of Kentucky MRI, DTI, cognitive reserve, Tau, A-Beta, memory
Roman Bauer Newcastle University computational neuroscience
Christian Baumgartner ETH Zurich medical image analysis, machine learning
Amirhossein Bayat Technical University of Munich segmentation, registration
masood bayat kntu parametr
Armin Bayati University of Victoria Cognitive disorder, microscopic, macroscopic, diagnostic, vasculature
Peter Bayley VA Palo Alto Health Care System, CYP191A, hippocampus, apoe4, neuropsychology
Roza Bayrak METU CNN, MRI, machine learning
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
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
Simone Beer Forschungszentrum Juelich quantitative PET
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
Shane Bemiller IUPUI Inflammation, Alzheimer's Disease, Aging, TBI
Achraf Ben-Hamadou Digital Research Center of Sfax Deep learning, Alzheimer statge detection
Lizeth Benavides PUC classification, incomplete data, Alzheimer’s disease.
Michael Benedikt Oxford University data integration
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
Marianne Benn Copenhagen University Hospital LDL cholesterol
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
Marco Berlot Cornell University AD
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 Machine learning
Pierre Besson Northwestern University Deep learning, prediction, big data
John Best University of British Columbia forecasting, TADPOLE, regression-based prediction
Brianne Bettcher University of Colorado Anschutz Medical Campus Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Tobey Betthauser University of Wisconsin-Madison PET, neuroimaging, processing
Marie Beurton-Aimar UNIV BORDEAUX Addiction, deep learning, MRI analysis
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
Nikhil Bhagwat university of toronto MRI, AD, Machine-learning
Abhishta Bhandari Royal Brisbane and Women's Hospital FDG PET, MRI, cerebrum, corticobasal syndrome
Jaspreet Bhangu Boston University Bioimaging
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
Rhea Bhatta University of Pennsylvania gene-environment education interaction
Sudeepa Bhattacharyya University of Arkansas for Medical Sciences Metabolomics, Bioinformatics, Omics, Statistics
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
Qiuhui Bi Beijing Normal University WM network PET
Hanwen Bi Northeastern University fMRI, Brain Network
Xin Bi Northeastern University brain network, machine learning
xuesheng bian xiamen university medical image analysis
SHIJIA BIAN DUKE UNIVERSITY TADPOLE CHALLENGE: https://tadpole.grand-challenge.org/data/
Rene Bidart Waterloo CNN
jumahuli biekan University of Saskatchewan sMRI, DTI, AD disease, MCL, Graph theory, Brain network
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
Jacob Billings A Public Sphere Alzheimer's Challenge
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
zhang bing daln martime university predict the individual brain function connectivity
Huang Bingsheng Shenzhen University MRI AD Auxiliary diagnosis Classification
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
Shameek Biswas Celgene genetics, progression, biomarkers, imaging
Dipayan Biswas Khulna University of Engineering & Technology Alzheimer disease, early detection, features
David Bjelke The Feinstein Institute for Medical Research CMRglu, ROI
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
Paul Blanc-Durand APHP - Pitié Salpétriere Deep Learning, CNN, regression
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
jin bo huawei deep learning
Yao Bo Shandong University Alzheimer's disease language performance
zheng bo HDU Search
koum bochra university classification, Markov
Jason Bock Medical Care Corporation MCI, AD, longitudinal, prediction, bayesian modeling
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
Luke Bonham Johns Hopkins University normal pressure hydrocephalus, Alzheimer's disease, mild cognitive impairment
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
Alireza Borghei Tehran University of Medical Sciences tadpole
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 emotion; attention; amygdala
Jessica Bourgin Université Savoie Mont Blanc Amygdala; Attentional network
Khaled Bousabarah Universityt Hospital Cologne deep learning, atlas based segmentation
li bowen tianjin polytechic university machine learning,neural network
Christina Boyle USC/IGC Alzheimers, Aging, MRI
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
Leonardo Brizi University of Bologna - Alma Mater Studiorum Features Extraction; Artificial Neural Network
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
Bobby Bruce University College London TADPOLE
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
Douglas Bryant University of Oklahoma Visual Neuroscience Lab Harmonized Hippocampal Volume Protocol
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,
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
Katherine Burn University of Melbourne cognition; inflammation; amyloid
Victor Burnett Terasaki Research Institute CNN, convolutional neural networks, image recognition, alzheimer's, pathology.
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
Gonca Buyrukoglu Northumbria University joint model, multivariate longitudinal
DeAnnah Byrd Wayne State University Cognitive reserve
Paul Byrnes University of Liverpool machine learning, pattern recognition, Bayesian framework
Adith C Amrita ADBI
Tabish C Mcgill DTI, Fiber Tracts
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
Shuxiu Cai Shenzhen University deep learning
erik cai wenzhou university multimodal neuroimaging
xiong cai Beijing University of Technology functional varying-coefficient model, local kernel smoothing method
Xiaoqing Cai Cornell University Alzheimer, prediction, machine learning
Nigel Cairns Washington University neuropathology
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
Oliver G Campos Trujillo Universidad autonoma metropolitana classification, identification, Alzhaimer
Anna Canal Garcia Kungliga Tekniska Högskolan MRI, biomarkers, alzheimer
Sema Candemir The Ohio State University Wexner Medical Center computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P
Megan Cannon Templeton High School APOE, Alzheimers
Zeynep Cantemir Gazi University Alzheimer diagnosis, deep learning, image classification
Jiguo Cao Simon Fraser University brain network, QTL mapping
Paul Cao HPE Deep Learning
Sha Cao Indiana University Bioinformatics
Yan Cao University of Texas at Dallas image analysis
Guanqun Cao Auburn University functional data, ADNI
Lei Cao USC NIIN 570
Bo Cao University of Texas Health Science Center at Houston Machine learning
Peng Cao Northeastern University Machine learning
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
HONGLIU CAO INSA ROUEN Random Forest, dissimilarity, heterogeneity
DANIEL CAPON BLOOD SYSTEMS RESEARCH INSTITUTE protein engineering, antibodies, amyloid beta, biomarker
Pablo Cappagli Instituto Balseiro registration algorithms
Angelika Caputo Novartis Pharma AG Cognitve composite
Michael Carbenia Zspace education
Jeremy Carmasin Massachusetts General Hospital PIB FDG AD MCI
Owen Carmichael UC Davis cortical thickness
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
Tiago Carvalho Federal Institute of São Paulo Machine Learning, Deep Learning, Information Fusion
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
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
Carrie Caswell University of Pennsylvania joint modeling, left truncation, longitudinal, time-to-event
Iván Catalinas Universidad Politécnica de Madrid Alzheimer
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
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
Patricia Cervantes ITESM Tadpole
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
Yoonjeong Cha Immuneering target identification, pathology, survival analysis, pathway analysis
Jungho Cha University of California San Francisco tau, pib
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
Kingshuk Chakravarty Tata Consultancy Services Ltd. structural/functional connectivity analysis, MCI, Alzheimer's, Classification
Daniel Chalupa Brno University of Technology Pharmacokinetic Modeling, Multiple Classifier Systems
Harshil Champaneria Arizona State University Research Project on Deep Learning
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
Alan Chan University of Alberta multivariate statistical analysis
Prakash Chandra Banaras Hindu University Clinical Research dataset
Paramanand Chandramouli University of Siegen image enhancement, denoising, super-resolution
Jose Chang National Cheng Kung University Deep learning, CNN
Yu-Ming Chang Beth Israel Deaconess Medical Center/Harvard Medical School Alzheimer's, temporal horn, ventricle
Rui Chang University of Arizona Computational biology
Yu-Chuan Chang National Taiwan University Alzheimer, Data Mining
Hyunggi Chang University of Warwick magnetic resonance imaging, artifacts
Yuchou Chang University of Houston - Downtown MRI, segmentation, registration, classification
Catie Chang National Institutes of Health resting-state fMRI, spontaneous activity, dynamics
Qi Chang Rutgers University machine learning
tzu an chang National Cheng Kung University adam10328
QUAN CHANG Chongqing university of Posts and Telecommunications deep learning , ADNI
tzu an chang National Cheng Kung University adam10328
wu changfeng Anhui University China for study
Marianne Chanti-Ketterl Duke University Genetics, using ADNI data as a teaching example, Friday Harbor
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
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
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 Machine Learning, Alzheimer's Disease, MRI, PET
Evelyn Chee Hanalytics image registration
Eduard Artur Chelebian Kocharyan Universitat Politècnica de València, UPV Machine, Deep Learning
Wanghao Chen Southeast university Alzheimer
Anthony Chen McGill University; Douglas Mental Health University Institute Machine Learning, Data Driven, Clinical Prediction
Ting-Huei Chen Laval University structural equation modeling
Sherry Chen The University of Sydney Frontotemporal dementia, longitudinal, neural correlates, cognition
Ying-Hsiang Chen Bioinfotronics Research Center Intelligent, cloud computing, infrastructure
Gang Chen Medical College of Wisconsin fMRI, MRI
Jiu Chen Nanjing Medical University AD, aMCI, DTI, sMRI, fMRI
Jinxin Chen Chengdu University of TCM alzheimer,sleep disorders,fMRI
Yizhou Chen Zhejiang University of Technology CycleGAN,synthesis
Hsu-Hsin Chen Genentech Alzheimer's Disease
Keping Chen Southeast University biomarkers, criculating,Alzheimer’s disease
Yuan-Yi Chen UCLA Bran Visualization
Peizhi Chen Xiamen University of Technology image registration
jing chen pennsylvannia state university arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Jing Chen Shandong University of Science and Technology deep Gaussian process ,classification
Jiashi Chen xidian university image processing
Chunling Chen Harbin Engineering University Alzheimer's disease
Linlin Chen Xidian University academic research on medical images
Yuqiao Chen University of Texas at Dallas relational continuous model
Frank Chen Nanjing University Alzheimer's disease MRI gene environment
Haifeng Chen Affiliated Drum Tower Hospital, Nanjing University Medical School memorry function; rTMS; multimodal neuroimaging
Yuhua Chen Cedars-Sinai Medical Center deep learning, super-resolution, image enhancement, MRI
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
MINGXUAN CHEN Infinity Lab Alzheimer Disease; Text mining
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Yin Jie Chen University of Pennsylvania Perelman School of Medicine Alzheimer's disease, multimodality, longitudinal
Yating Chen Wenzhou Medical University segmentation
Rong Chen Icahn School of Medicine at Mount Sinai protective allele, Alzheimer's disease
Liu Chen Oregon Health & Science University Neural Networks
Buxian Chen Sun Yat-sen University study a paper, ADNI
Jiali Chen Zhejiang University of Technology Hippocampus detection
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Taolin Chen West China Hospital of Sichuan University network study
Ing-jou Chen Chang Gung University AV-45, PET, AD, PCA, SVM
Ming Ting Chen National Cheng Kung University Alzheimer's disease
Xu Chen University of North Carolina MRI segmentation
Yiyun Chen Xiamen University graduation project of undergraduates
Shuai Chen Erasmus Medical Centre TADPOLE, Alzheimer's Disease Prediction
Shihui Chen The University of Hong Kong connectivity analysis
Qibai Chen University of Science and Technology, Beijing pattern recognition, classifier
Liang Chen University of Macau miRNA, biomarker
Jerome Chen Chang Gung University Deep Learning, Alzheimer’s Disease, MRI, FMRI
Zhie Chen Chinese PLA General Hospital AD; brain; voxel-based morphometry; brain structure
Junhua Chen Beijing University of Technology Deep learning, brain age
Gennan Chen Synarc Segmentation
Wei-Jie Chen zhejiang university of technology multi-task learning; feature selection; support vector machine; data anaylsis
Bo Chen Fudan University Graph theory, mental illness
Tzu-Chieh Chen UC Berkeley MRI, machine learning
jing chen Pennsylvannia State University arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Hirotoshi Chen Zhejiang University protein protein interaction, network integration
Jian Chen ShangHai JiaoTong University symptoms, medicine
Quan Chen Shanghai Jiaotong University quantitative t1w t2w
Xian-gan Chen South-Central University for Nationalities machine learning,deep learning,brain disease diagnosis
Chunling Chen Harbin Engineering University Alzheimor
Tingting Chen Zhejiang University Co-Attention, Multi-modal Fusion, AD diagnosis
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Sophie Chen Beijing University of Technology fMRI classification
Kerwin Chen Acer MRI, MMSE
kuan-ting CHEN National Taiwan University ADNI
Chi-Hua Chen University of california san diego Age, gender, disease status, APOE status
Hsian-Min Chen Taichung Veterans General Hospital Band expansion process, Constrained energy minimization, Otsu’s method
Fang Chen jackson state university image deep learning Alzheimer's
Yicheng Chen UCSF Deep Learning
Eric Chen UCAS computerscienceandmedical
Chen Xiaoshun Chen Xiaoshun Jiangsu University SICE、ADNI
Pujin Cheng SUSTech research with Machine Learning
MengChe Cheng Acer Inc. Deep learning
Debbie Cheng National Cheng Kung University Alzheimer's disease
Hewei Cheng School of Informatics AD, MCI, fMRI, DTI, MRI
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
jcheng1 Cheng Rutgers University Statistical analysis, data mining, prediction
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
CHAO-WEI CHENG National Taiwan University of Science and Technology Generative Adversarial Networks, Deep learning, disease diagnosis
Yang Cheng University of Shanghai for Science and Technology DTI
xiaoqin Cheng Zhongshan hopsital, Fudan University AD,high heterogeneity, rapid progression
Jing Cheng southwest University in China brain network, fMRI, AD
Xu Cheng East China Normal University Medical image registration
Tanya Chenhall Cogstate Cogstate
Du Chenping Sun Yat-sen University data
Liu Chenyang HongKong University AD;inverse covariance;
Guo Chenyi Tsinghua University Deep learning, machine learning, disease diagnosis
Chen ChenYuewei Shanghai Maritime University rest-fMRI,depression
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
LIN CHIH-HAO acer mri
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
Jung Cho CAIDE SYSTEMS, INC. deformable medical image registration
Soo Hyun Cho Sam Sung Medical Center Amyloid PET
HANNA CHO GANGNAM SEVERANCE HOSPITAL biomarker, imaging, alzheimer's disease
sang soo cho University of Toronto PET
Donghoon Cho Kyungpook National University Deep Learning, Diagnostic , Korea
SangYeon Cho Medical school, Chungnam national university DEMENTIA
Kihoon Choi Hanyang university Imaging genomics, GWAS
Yong-Ho Choi hanyang university Imaging genetics
Euna Choi Seoul National University DTI TBSS Early detect of Alzheimer's disease.
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Wooyeol Choi KAIST, Republic of KOREA MCI, Graph theory
Seoung-Ho Choi Korea University Deep Learning , Diagnosis
juyeon choi kbri protein fragile X
Seo-Eun Choi University of Washington Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Sang Geun Choi Kwang Woon Univ. segmentation, deep learning
David Choi ITBA ICA, Alzeimer,
James Choi Sabio Research Alzheimer Machine Learning Neural Networks
JiHye Choi Keimyung University bio
Anthipa Chokesuwattanaskul King Chulalongkorn Memorial Hospital Alzheimer's disease, mild cognitive impairment
Vishal Chopra JCVC Inc. Artificial Intelligence, MRI Scans, Alzheimer's
Jill Chotiyanonta AnatomyWorks, LLC Brain MRI, Neuroanatomy, Segmentation
Edward Chou Stanford University Alzheimers, MRI, 3D CNN
PO-HAN CHOU Harvard T.H. Chan School of Public Health cortical thickness, brain asymmetry
Chun-An Chou Northeastern University Network, MVPA
Elizabeth Chou National Chengchi University, Taiwan machine learning, dimension reduction, similarity measure, classification
Tabina Choudhury Texas A&M University Alzheimer’s disease, brain, biomarkers, cognition, dementia, item response theor
Francois Chouinard-Decorte McGill University brain structure, genetics
Leonidas Chouliaras University of Cambridge DNA methylation, Mild Cognitive Impairment, MRI
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Heiman Chow HKUST Glucose, AD, Risk
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
Kai-Hsiang Chuang University of Queensland CBF, basal forebrain, functional connectivity
Sun chuanzhu xi'an jiaotong university 864279
chen chun SIAT brain network
Marvin Chun Yale University functional connectivity
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 Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Alba Clemente Univarsity of Zaragoza bioinformatics, computer vision
Sean Clouston Stony Brook University Statistical methods, Alzheimer's disease, brain structure and function
Martin Cloutier Analysis Group Agitation, Alzheimer's, Economic burden
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
Shelytia Cocroft Duke University Genetics, using ADNI data as a teaching example, Friday Harbor
Leandro Coelho Pontifical Catholic University of Parana machine learning, fMRI, deep learning.
Joseph Paul Cohen University of Montreal Generative modeling, computer vision
David Cohen Massachusetts General Hospital CNN, deep learning, machine learning, convolutional neural network, Alzheimer's,
Brett Cohen King's College London MCI, MRI, phantom
elisa colato Institution Karolinska Institutet AV1451 tau PET, MRI, PET, CSF biomarkers
Joseph Cole Portland State University Neurodegenerative diseases,Alzheimer's,Biomarkers,Disease progression score
Michael Cole Rutgers University-Newark cognitive control, resting state
Jeffrey Cole Booz Allen Hamilton cluster analysis, neuroimaging
James Cole Imperial College London Aging, Machine learning, T1, DTI
Diego Collazos-Huertas Universidad Nacional de Colombia sede Manizales Deep Learning, Convolutional Neural Networks, Data Representation
Jeanette Collette Commack High School CNN, Alzheimer's Disease, machine learning, MRI
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
David Collier Eli LIlly and Company Ltd lipidomics
Meghan Collier Brown University cognitive, Trails B, predictors, dementia, AD, biomarkers
Joanna Collingwood University of Warwick Biomarkers Across Neurodegenerative Diseases Collingwood
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
Ronan Conway National College of Ireland alzheimers dementia
Danielle Cooke Beth Israel Deaconess Medical Center resting state connectivity, lesion network analysis
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
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
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
Karen Crawford USC That
Byron Creese King's College London polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
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 C4X discovery sequencing
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
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
Tristan Curteis University of Oslo Longitudinal prediction
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
Chitradevi D Hindustan Institute of Technology and Science Alzheimer's disease
Nuno da Silva Luz Saúde MPRAGE, T1, DTI
Amirhossein dadashzadeh faculity of computer science deep learning , convolutional neural network,medical image analysis
Jeffrey Dage Eli Lilly and Company Biomarkers
Shabnam Daghaghi Texas A&M University brain data, phd, research, Alzheimer Disease
Said Dahbour Jordan University Hospital/ University of Jordan Brain volume change, Alzheimer disease
Yinglong Dai Central South University human body simulator; input-output system;
Mengyu Dai Florida State University classification
Heng Dai Shenzhen Institutes of Advanced Technology methylation, illumina microarray, AD pathway
Weiying Dai Binghamton University ASL and fMRI resting state and fMRI task
Olivia Dai Harvard University Alzheimer
Ning Dai University of Minnesota regional homogeneity; fMRI data analysis; longitudinal
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
Kristen Dams-O'Connor Icahn School of Medicine at Mount Sinai Genetics, using ADNI data as a teaching example, Friday Harbor
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Zinkert Daniel Uva Wellassa University Brain, Cortical Thickness
Christian Dansereau Perceiv Research, Inc. Biomarker, progressors prediction, cognitive decline
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
Eveleen Darby Baylor College of Medicine Alzheimer Disease
Burcu Darst University of Wisconsin, Madison Alzheimer's disease, cognitive function, metabolomics
Caroline Dartora PUCRS Brain Connectivity, Alzheimer's Disease, MRI, PET
Rajdeep Das National Institute of Technology, Calicut Gated Recurrent Units (GRU), Long Short Term Memory(LSTM), ANN
Kalyan Das University of Calcutta categorical,miscategorization, missing ness,
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Sandhitsu Das University of Pennsylvania hippocampus MCI
Ritankar Das Indian Statistical Institute Connectomics, Alzheimer's, Graph analysis, Image processing
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
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
Mariana De Melo Aguiar UNICAMP ranking, image processing, image segmentation
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
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
Javier De Velasco Oriol Instituto Tecnologico y De Estudios Superiores de Monterrey Prediction, Machine Learning, Support Vector Machines, Beta Amyloid
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
Summer Decker University of South Florida Morsani College of Medicine morphometrics
Michael Decker Case Western Reserve University hypoxia, hyperoxia, neurodegeneration
Anthony DeCristofaro Fairfield University Alzheimer
Brittany DeFeis University of Florida MCI, intervention, functional outcomes, clinical outcomes
Omar Dekhil University of Louisville MRI, fMRI, ICA
Sebastian Del Barco University of Colorado Denver fMRI, PET, Convolutional Neural Network, Early Diagnose, AD
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
Tenzin Dendup University of Canberra machine learning
Denel Denel Dalian University wmh deep learning
Yanjia Deng The Chinese University of Hong Kong MRI, visual function, MCI, AD
Qiao Deng Northeastern University DWI MRI
Hao Deng University of Chinese Academy of Sciences Student
Xia Deng China AD
chunyan deng southern medical university AD MCI
Xianqiong Deng Wayne State University machine learning, medical images
YANG DENG Tsinghua University research
Jin Deng Shanghai Maritime University Study
DADA DENG Sichuan university medical image
Kristina Denisova Columbia University Medical Center structural and functional MRI
Dennis Deptula Immunobrain Checkpoint Clinical Trials, outcome measures, Alzheimer
Brendan Depue University of Louisville PTSD, Amygdala, Morphometry
Rezwan Derakshan urmia university data mining
Gulcicek Dere Yeditepe University dwi
Juhi Desai In-Med Prognostics Segmentation
Sameer Deshpande University of Pennsylvania Bayesian methodology, mixture modeling, spatial smoothing
Vijay Deshpande IIIT Registration
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
Francesco Di Lorenzo University of Sussex AD, functional conncectivity, ApoE, computational model, disease progression
Mamadou Diaby Alten regression test
Mirella Diaz-Santos University of California, Los Angeles Cognitive reserve, using ADNI data as teaching example, Psychometrics Workshop
Florin Sebastain Dica University of Birmingham Deep Learning
Stefano Diciotti University of Bologna texture analysis, fractal analisys, machine leaning, MRI
Bradford Dickerson Massachusetts General Hospital MRI, PET, cortical thickness, MCI, AD
Philip Dickinson McGill University resting state, connectome wide association
Ellen Dicks 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
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
Yukun Ding University of Notre Dame MRI; DNN-based image processing
Xiuhua Ding University of Kentucky group based trajecotry model , dementia, sleep apnea
Xuetong Ding HeBei University image processing about human brain
Zhipeng Ding University of North Carolina at Chapel Hill longitudinal image regression
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
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
Ibrahima Diouf commonwealth scientific and industrial research organisation (csiro) CSF ferritin
Aleksandar Djuric Robarts Research Institute deep learning, segmentation
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
Oriol Dols-Icardo Sant Pau biomedical research institute Genomics, MRI
Sudipto Dolui University of Pennsylvania ASL, signal processing, denoising
Daniel Domingo Fernandez Fraunhofer SCAI Bioinformatics
Carmen Dominguez University of Florida PET
Frank Dondelinger Lancaster University lasso, prediction
Guozhu DONG Wright State University Factor ranking considering interactions
Jian Dong Harvard Medical School Diffusion MRI, white matter, beta amyloid
Sen Dong Ludwig Maximilian University of Munich Deep Learning
liao dong wuhandaxue 123555love
Mei Dong University of Saskatchewan Bayes method, simulation
Di Dong Carnegie Mellon University Deep Learning, Prediction, Machine Learning
Ganggang Dong Xidian University DIAGNOSTICS
YANG DONG Yanshan Uniwersity dti
Shidu Dong Chongqing University of Technology Image Segmentation
Aimei Dong QiLu University of Technology Alzheimer's Disease Diagnosis, Analytical methods,predictive methods
ZHANG DONG Nanjing University of Science and Technology Visualizing; CNN
chao dong Northeastern University segmentation
Zhengchao Dong Columbia University deep learning, MCI, AD, NC
Li Dong University of Electronic Science and Technology of China classification, fmri
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
Lena Dorfschmidt University College London connectomics, rich club, NBS
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
Derek Drake Harvard University AD
Jonathan Drake Alpert Medicial School of Brown University VCAM-1, vascular risk factors
Daniel Drake Columbia University elastic net, penalized regression, biomarkers
Gabriel Dreiman Cornell University TADPOLE
yuhang du hebei university Resting-state fMRI; Functional connectivity; Alzheimer’s disease; Mild cognitive
Lei Du Northwestern Polytechnical University Imaging Genomics, Bioinformatics, Machine Learning, Deep learning
Yuhui Du The Mind Research Network; Shanxi University Biomarkers, Classification, Clustering
Jinglong Du Chonqing University MRI
Xiaofeng Du Xiamen university of technology Non-rigid image registration, multi-resolution image registration
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Xiuli Du Nanjing Normal University Image recover; regression model
Kevin Du Xiamen niversity Academic propose
Sejal Dua Tufts University fMRI, data analysis, PET, k-means, clustering, algorithm, neuroimaging
yingying duan southern medical univercity MRI
peng duan University of Science and Technology of China segmentation
Zhongxiang Duan Beihang University CT MRI segmentation
JUAN DUARTE UNIVERSIDAD NACIONAL DE COLOMBIA (UNAL) ALZHEIMER, MORPHOLOGY, DATA ANALYSIS
Kauê Duarte UNICAMP neural nets, ranking, content based retrieval
Shiv Ram Dubey Indian Institute of Information Technology, Sricity Image Retrieval, deep learning, feature vector, biomedical images
Paromita Dubey University of California, Davis Brain Connectivity, Alzheimer's disease
florian dubost Erasmus MC enlarged perivascular spaces, deep learning, neural networks
Simon Duchesne True Positive Medical Devices Inc. Biomarkers; Volumetry; Normative data
Simon Duchesne Université Laval Morphometry, MRI, multidimensional analysis
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
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
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
Bobi Eastman Indiana University data analysis, research, early detection
Jennifer Eastman Northwestern University MCI
Susan Eaton Biogen epidemiology, predictive model
Mark Ebbert Mayo Clinic Challenging regions
Amir Ebrahimighahnavieh University of Newcastle Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Ainhoa Echeverria Genentech clusterin, ApoJ, eQTL
amira echtioui enis ya allah1
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
Carley Edwards Imperial College London Tau, Amyloid and FDG
Christine Edwards Mayo Clinic deep learning, interpretability, landmark detection
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
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,
Annie Elander Johns Hopkins School of Medicine cortisol, medial temporal lobe
Ahmed Elazab Shenzhen University AD, biomarkers
Mohamed ElBialy Cairo University deep learning, neural networks, machine learning
Ghaidaa Eldeeb faculty of engineering cairo univeristy DTI
Fatmaelzahraa Elgamal University of Louisville Fusion, medical image analysis, early diagnosis of AD
Yuri Elias Rodrigues UFRGS machine learning, distance based algorithms
Odessa Elie University of Arkansas early detection
Natalie Ellison Pentara Corporation Composites Genetics
Jeremy Elman UCSD Pupillometry, aging, dementia
abdo elsayed assuit university rmi
Habiba Elsherbiny Queen's University N/A
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
William Engels Portland State University TADPOLE challenge
Bob Engle Biogen ADNI Stat Programming, Baseline Analyses to understand disease progression
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
Mahdiyeh Erfanian Ferdowsi University of Mashhad statistics. SPC, profile monitoring
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
mohamad eslami tehran university of medical science alzheimer , research
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
Karol Estrada Genothis genetics genomics alzheimers
Karol Estrada Biogen Alzheimers genetics nerological
Hary Estrada Bueno Florida International University dementia
Dhivya Eswaran Carnegie Mellon University hidden markov models, exploratory analysis
A Et EtPc Ad, MRI
Lee EunChong Korea Univ. shape analysis
Lee EunChong Korea Univ. shape analysis
Paolo Eusebi University of Perugia csf biomarkers; data-driven models; disease progression
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
majid fakheri urumi university alzheimer
Raul Falcão UFPE database, bioinformatics
Ariana Familiar UNIVERSITY OF PENNSYLVANIA machine learning, predictive modeling, diagnostics
Yonghui Fan Arizona State University ADNI2-GO MRI data
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
fanda Fan Institute Of Computing Technology Chinese Academy Of Sciences reasearch
ZHEN FAN Imperial College London AD biomarkers PET MRI
Weina Fan Qufu normal university Research the Alzheimer's disease
ZHEN FAN Imperial College London Longitudinal amyloid tau
Fan fanda Institute of computing technology, Chinese Academy of Sciences research
CHAO FANG THE UNIVERSITY OF MANCHESTER machine learning, automatically detection
wang fang Zhejiang Pharmaceutical College 202020
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
Zhengyang Fang Peking University fMRI, Alzheimer's Disease
ZHOU FANG Chinese University of Hong Kong Deep Learnining, Alzheimer's Disease
ZY Fang Peking University fMRI, Alzheimer's Disease, CAD
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
Alessandro Fanti Università degli studi di Cagliari Alzheimer features brain imaging MRI
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
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
Franklin Feingold USC Neuroinflmmation
Eden Feldman New York University Medical Center biomedical informatics
avi feldsher Brain and Behavior Research Institute deep machine learning mri cortical volume
Anthony Fellows Bristol Infirmary Hospital Prediction, MCI, T1 MRI, FDG PET, T2
Grazia Daniela Femminella Imperial College London inflammation; atrophy; AD; MCI
Brad Feng Capital Medidcal University Deep Learning; Alzheimer Disease
Zhichao Feng The Third Xiangya Hospital of Central South University fzc2018xyyx
Sheng Feng AbbVie ApoE, imaging biomarkers, clinical trial designs
Sheng Feng Green Valley Research Institute DNA Seq, GWAS, ApoE
Jinwang Feng Northwestern Polytechnical University Alzheimer's disease, Feature extraction, Classification
Xinyang Feng Columbia University AD imaging biomarker
Christine Fennema-Notestine UCSD MRI, thickness, morphometry, shape analysis, PET
darius Ferdows Mindsquare MRIs, Imaging,
Miguel Fernandes Faculdade de Ciências e Tecnologia of Nova University of Lisbon Classification
Elsa Fernandez University of the basque country patterns, fMRI
MIGUEL ANGEL Fernandez University of Cadiz PET, image, machine learning
Alberto Fernández Universidad Complutense de Madrid, Spain APOE4, Amyloidosis, cognitive performace
Alberto Fernandez Pena FIBHGM dti, fmri, connectivity
Sara Fernandez Rodriguez-Cabello University of Salzburg aging, longitudinal, WMH, AD
Ricardo Ferrari Federal University of São Carlos image segmentation, contour models
Martino Ferrari University of Geneva Compressive Sensing, Compressive subsampling
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
Luiz Kobuti Ferreira University of São Paulo functional connectivity; resting state fMRI; aging
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
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, Davis Alzheimer's Disease, biomarkers
Teresa Filshtein University of California, San Francisco genetics, Friday Harbor
Caleigh Findley University of Colorado Colorado Springs AD, MCI, APOE4, memory, executive functioning, tau
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
Evan Fletcher UC Davis Cognitive Reserve, Psychometrics Workshop
Darren Fletcher Newcastle University fMRI, brain activation, mathematics
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
Parisa Forouzannezhad Florida International university MCI, AD, Neuroimaging
Belén Fos Guarinos QUIBIM deep learning, medical imaging, diagnosis
Lauren Foster University of Manchester FLARE, T1W, hyperintensities
Chris Foster UT Dallas | Center for Vital Longevity Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei
Panagiotis Fotiadis Massachusetts General Hospital atrophy; cerebral amyloid angiopathy; alzheimer's disease
Kevin Fotso Tagne University of New Mexico 0WN82 Machine learning, Statistics, Deep Learning
Gregory Founshtein The hebrew University and the Hadassah Ein Kerem medical center Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau
Benjamin Franc University of California, San Francisco PET, FDG, fluorodeoxyglucose, chemotherapy, brain, hypometabolism
Silvia Franchini University of Palermo Alzheimer disease, hippocampus, texture segmentation
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
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
fernandho freitas University Center of FEI AD, feature extraction, wavelets
Joshua French University of Colorado Denver principal components, isotropy
Escalin Frency J J St.Xavier's Catholic College of Engineering Alzheimer's disease
Yun Freudenberg-Hua Feinstein Institute of Medical Research AD genetics, loss-of-function variants
Adam Freund Calico Life Sciences aging
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
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
Holger Fröhlich UCB machine learning
Alexander Frolov Stanford University Hospital & Clinics Alzheimer's diseaese, biomarkers, tau, amyloid
Robert Frost University of Utah PET, atypical dementia, neuropsychology
Tianyu Fu BIT registration
yu fu lanzhou university longitudinal brain changes; MCI;AD
Aslan Fu BJUT MRI
jilian fu Tianjin Medical University GWAS,grey matter volume ,healthy aldult
Zhihui Fu Shanghai Jiao Tong University Alzheimer Disease, Convolutional Neural Network
Tong Fu MHH AD, structure connectivity
Xianjun Fu Shandong University of TCM AD &TCM
Bin Fu HKU machine learning
ke fudao Beihang University kai6849868
Motonobu Fujishima National Center of Neurology and Psychiatry differential diagnosis; Alzheimer's disease; FDG-PET; MRI
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
Omer Gaddoura Southeast University fMRI, frequency specificity, Alzheimer’s disease
Jin Gahm USC Surface mapping
Chris Gaiteri Rush University networks coexpression
Niharika Gajawelli USC fMRI, MRI, AD, MCI,
Priya Gajjar University of PIttsburgh cingulum, uncinate fasciculus
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
Lin Gan Illinois Institute of Technology DTI, image registration
Hong Seng Gan Universiti Kuala Lumpur hippocampus Segmentation, Alzheimer's Disease, Random Walks
Wei Gan National University of Singapore Ensemble algorithms, Machine Learning, Combining classifiers, Con-tinuous
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
Reema Ganotra YMCA University of Science and Technology Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Och Ganzorig Inha university ADNI
Yang Gao The University of Queensland deep learning, undersampling
X. Raymond Gao University of Illinois at Chicago Age-at-onset, Genetics, Statistical methods, Polygenic risk score
Lei Gao Neuroimaging and Informatics Institute classroom exercises
Yuyuan Gao Guangdong General Hospital Alzheimer’s disease; Biomarker; Blood; spinal fluid
Yuanyuan Gao sothern medical university PET MRI
ruiqi Gao Harbin Engineering University research
Yurui Gao Vanderbilt University functional connectivity
Ming Gao Qingdao University hippocampus;texture characteristics; diagnose and treat effectively;AD based on
Yufei Gao Beijing Normal University transfer learning, multimodal brain images analysis
Fei Gao Arizona State University AD,MCI, Machine Learning
Linlin Gao Harbin Engineering University corner matching, medical image, classification
ju gao Nanjing Brain Hospital network
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
Fei Gao University of North Carolina at Chapel Hill Biomarkers, Joint modeling
ann gao Cyagen Biosciences Deep Learning
Xiao Gao University of California, San Francisco atrophy, cognition
Sara Garbarino UCL Network diffusion models
Yiliet Garcia University of Brasilia at Gama Compressive sensing, PET, medical imaging, prior information
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
Kara Garcia Indiana University School of Medicine surface registration, longitudinal, cortex, shrinkage, biomechanics
Carlos García Universidad Rey Juan Carlos charlie1eso
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
Dimitris Gatsios University of Ioannina balance, cognition
Vincent Gaudet University of Waterloo iterative algorithms, belief propagation, stochastic computing
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Giovana Gavidia Biomedical Engineering Research Centre (CREB) of UPC Image processing, lineal mixed models, statistical inference, machine learning
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 Neuroimage
Shufei Ge Simon Fraser University Associations study, Group Lasso ,spatial correlation structures
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
xinting ge LONI hippocampal formation, brainstem
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
Mohsen Ghanbari Erasmus University Medical Center NFL, GWAS, Alzheimer's disease
vahid ghanbari Amirkabir University of Technology Alzheimer - deep learning
Amirhossein Ghaznavi Islamic Azad Science and research data access, convolution nueral network
sailee ghodekar K.J.Somaiya brain
Reyhaneh Ghoreishiamiri University of Alberta Early diagnosis
Nachiket Ghorpade Pune Institute of Computer Technology CNN, Deep learning
Kaushik Ghosh University of Nevada Las Vegas Bayesian analysis, tractography
Spandan Ghosh Institute of Engineering and Management Semantic Segmentation
SUKANTA GHOSH JADAVPUR UNIVERSITY detection of Alzheimer's Disease
Ankur Ghoshal JU Segmentation
Sukhmanjit Ghumman University of Sherbrooke rsfMRI FunctionalConnectivity Alzheimer's GraphTheory HubAnalysis
Luca Giancardo University of Texas Health Science Centerat Houston machine learning, longitudinal connectomes
Trung Giang VNU University of Engineering and Technology Alzheimer's Disease, MRI
Laura Gibbons University of Washington Genetics, using ADNI data as a teaching example, Friday Harbor
Jesse Raphael Gibbs National Institute on Aging, NIH genetics neurodegeneration
Gary Gibson Weill Cornell Medical College conversion
Lasse Giil Haraldsplass Deaconess Hospital Mild cognitive impairment; external validity
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
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
Margarethe Goetz Emory University Genetics, using ADNI data as a teaching example, Friday Harbor
Sheng-Yang Goh UCSF frontotemporal dementia
Suril Gohel School of Health Professions, Rutgers University PET, MRI, Alzheimer
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
Kuang Gong Massachusetts General Hospital Partial volume correction PET
zhaoxuan gong shenyang aerospace university segmentation
Enhao Gong STANFORD UNIVERSITY Deep Learning, Compressed Sensing
Shi Gongming Beijing University of Technology MCI,AD.
Julie Gonneaud McGill University Family history, Alzheimer's Disease, Biomarker, Preclinical
Camila Gonzalez TU Darmstadt Tadpole Challenge
Clio Gonzalez University of Southern California Genetics, Neuroimaging
Willy González Universidad de El Salvador Profesor, Psiquiatria, Neurociencias
Gerardo Gonzalez University College London AD, Big data, Automated anomaly detection
Edgar González Universidad de los Andes Alzheimer
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
Jens Göttler Klinikum rechts der Isar, Technische Universität München resting state fMRI, FC, perfusion, ASL, metabolism, FDG, amyloid
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
John Graf GE Global Research kinetic system risk model PBPK BioDMET
Ariel Graff Universtity of Toronto depression, amyloid, PET
Neil Graham Imperial College London TBI neurodegeneration atrophy
Jinko Graham Simon Fraser University multivariate analysis, genotype-phenotype association, structural MRI, SNPs
Leah Graham The Jackson Laboratory Diffusion tensory imaging, myelin, obesity, cognition
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
Elena Grassi University of Turin eQTL, GWAS, transcription factors
Massimiliano Grassi Villa San Benedetto Menni Hospital Machine Learning, Conversion to Alzheimer's Disease, MCI
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
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
Perry Groot Radboud University Nijmegen causal
Colin Groot VU University medical center Alzheimer's disease, Voxel-based morphometry, psychometrics
Irme Groothuis University College London microbleeds, deep learning
Alden Gross Johns Hopkins Bloomberg School of Public Health Genetics, using ADNI data as a teaching example, Friday Harbor
Matthew Gruen NYU School of Medicine Alzheimer's Anxiety MRI Hippocampus
Arne Grundstad AbbVie AbbVie ADNI
Zhengguo Gu Tilburg University bigdata, multi-block data, regularized simultaneous component analysis
haifeng gu Nantong University deep learning
Xuejun Gu The University of Texas, Southwestern Medical Center radiation, representation learning
DONG GU HNU DIR
Yuanfang Guan University of Michigan manuscript submission
cihey guan University of Electronic Science and Technology of China rsfmri
Cecilia Guariglia Università Sapienza dementia, cerebellum, mri
santwana gudadhe PCCOE alzheimer disease
Xavier Guell Paradis Massachusetts Institute of Technology cerebellum
Tobias Guennel Precision for Medicine MCI, socioeconomic impact of AD, genetic risk signatures
Laura Guerrier INSERM Benson syndrom
Pamela Guevara University of Concepción white matter bundles, anatomy, machine learning
Mauricio Guevara-Souza ITESM tadpole
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
Jyotasana Gulati Alkahest Inc. statistical learning, Alzheimers, Plasma
Gaurav Gulati The NorthCap University Brain, A
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 Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease
TAMIL INIYAN GUNASEKARAN Chosun University SNP, GWAS, MRI, pathogenesis, neuronal damage.
Nishan Gunawardena University of Colombo Alzheimer’s Disease, Pre-detection, MRI data, image processing
Roger Gunn Imperial College London Mathematical Analysis, Classification, Machine Learning
Tong Yu Guo NorthEastern University deep learning
Yanzhi Guo Sichuan University deep learning, Alzheimer's disease, computer-aided therapy
YAXUAN GUO Hong Kong Baptist University analysis
Yanrong Guo Hefei University of Technology classification , neuroimaging
DANFENG GUO CURACLOUD CORP Deep learning
Yusheng Guo South China University of Technology asd123....
Ying Guo Emory University statistical learning, longitudinal analysis, integrative analysis
weiping guo Beijing Normal University fmri,alzheimer
Aayush Gupta SHS MRI, CT, Generative Adversarial Neural Network.
Kavya Gupta IIITD Reconstruction
gaurav gupta Shoolini University Alzheimer image segmentation machine learning
Aditi Gupta KUMC Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI
Navin Gupta Indian Institute of Technology, Guwahati clinical subtyping, data driven, symptoms, independent component analysis
Aarzu Gupta UCSF Alzheimer's, gender
Yubraj Gupta Chosun university CNN, Alzheimer disease
Vinay Gupta University of Manitoba Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Pranav Gupta IIT BHU Results comparison with existing results
Akansh Gupta graphic era university research
SHLOMIT GUR Penn State University Evolving functional connectivity analysis, machine learning, graph theory
Mahmut Edip Gurol Massachusetts General Hospital CAA, cortical thickness, controls, AD
Jose Gutierrez Columbia University arterial diameters, beta amyloid, tau
Jessica Gutierrez 1995 machine learning; predictions;
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
x h xia men university Alzheimer’s disease
wang h qfnu research
Q H Southern Medical University multi-modality, radiomics
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
Pieris Hadjinastasi University of Cyprus MRI, alzheimer
Maryam Haghshomar Tehran University of Medical Sciences Machine learning, Alzheimer disease, classification
Jarang Hahm Dongguk University Ilsan Hospital MCI, AD
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
wu haitao University of Chinese Academy of Sciences wht2631342
Jiang Haitao USTC None
ihab Hajjar Emory Univeristy inflmmationDTI
hamid hakim Amirkabir Functional connectivity , fMRI
zahra hakimelahi islamic azad university tehran branch idea-alzheimer's disease
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
Lin Hall Green Valley Pharmaceutical LLC test and develop
Anette Hall University of Eastern Finland Alzheimer’s disease, MCI, MRI, CSF, Computer-assisted diagnosis
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
Deng-Yu Han National Taiwan University Hospital nighttime behavior; sleepiness; beta-amyloid; PET.
Duke Han USC cognition, neuroimaging
Kun Han Harbin Engineering University Deep learning; AD
HioBeen Han KAIST None
Shizhong Han The University of Iowa GWAS, heritability, sMRI, and fMRI
Yu Han University of Vermont machine learning, feature prediction, diagnosis detection
Liang Han Chongqing University early detection, MRI, MCI, AD, Artificial Intelligence
Hongjuan Han Shanxi Medical University AD data
Palak Handa Mody University of Science and Technology research
Robert Handsaker Broad Institute copy number variation, disease association
Ihor Handziuk Taras Shevchenko National University of Kyiv altzheimer's disease, mri, classification, study
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
Srinath Hanumantha Rao BITS Pilani University Neural Networks, Image Processing
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
Reduan Haque JU Cancer, Prostate
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
David Harper McLean Hospital Alzheimer's disease, blood flow, Cerebrovascular Reactivity
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
Nada Hassan Ain Shams university Bioinformatics , Machine learning framework for early MRI-based Alzheimer's con,
Basma Hassan Faculty of Engineering-Cairo University Image Registration
Younes Hassani Abdollahi IASBS AD, Alzheimer's
Hamid Reza Hassanzadeh Georgia Institute of Tech Deep Learning, Multi-modal prediction
Jason Hassenstab Washington University in St. Louis Genetics, using ADNI data as a teaching example, Friday Harbor
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
Jasmeet Hayes VA Boston Healthcare System Cortical Thickness
Scott Hayton BGC3 Integration
xiaoxi he Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji 861130
zhi he SYSU classification
Yao He University of Utah PET, FDG-PET, Focal AD
Huiguang He Institute of Automation, Chinese Academy of Scicences fMRI, DTI, Medical Image Processing
Tianshe He UNC CHapel Hill community detection, networks, clustering
Linchen He New york university Association test, binomial mixture model, complex disease, genetic heterogeneity
Lianghua He Tongji University deep learning, RNN, LTSM
mengya he Sichuan University medical research
Jishuai He Northeastern University Of China personal study purpose
Qiong He Zhongshan Hospital, Fudan University cerebral metabolism,PET-CT,AD
Jie He Ohio State University alzheimer's disease, amyloid beat
Lei He Sun Yat-sen Memorial hospital Alzheimer's disease
Ke He Tsinghua University Registration, deep learning
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
serve heidari SBMU fMRI
Elisa Heinrich Mora Hanyang University WMH Normal cognition subcortical vascular cognitive impairment individuals
Ashley Heinson UCB Clustering, Biological Mechanism, Neurodegenration
Ali Hejazizo University of Alberta machine learning
hadeer helaly mansoura alzheimer
arash hemmati amirkabir university fMRI, machine learning
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
Lindsey Hergesheimer USC- Keck School of Medicine ADNI
Samuel Hernandez Weill Cornell Blood, 850k, bisulfite sequencing
Gerson Hernandez University of Arizona Alzheimer's, biomarkers, neuroimaging
Monica Hernandez University of Zaragoza Computational Anatomy
Hernan Hernandez Concepcion University MRI, fMRI, dFMI, Ph.D
Raidel Hernandez Florida State University Training a convolutional neural network to recognize types of brain damage
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 Genentech, Inc imaging genetics, cognitive decline, robust statistics
Derrek Hibar Janssen R&D PET, PIB, AV45
Brennan Hickson University of Texas at Austin aging, dementia, alzheimer's disease, neurodegeneration
Keigo Hikishima Okinawa Institute of Science and Technology Preclinical MRI
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
Toru Hironaka Massachusetts General Hospital Machine learning
Robin Hirt KIT deep learning, transfer learning, artificial intelligence
Ngoc-Huynh Ho Chonnam National University Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
Yi-Yun Ho Cornell University machine learning
Dylan Ho CUHK Atlas, AD, Asia
Jelte Hoekstra GoDataDriven alzheimer, explainability, cnn
John Hoffman University of Utah FDG-PET, SPM group analysis
Malte Hoffmann Martinos Center longitudinal morphometry Freesurfer
Stefan Hoffmann Friedrich Schiller University medical image fusion, deep learning feature selection
Timothy Hohman Vanderbilt University School of Medicine Genetics, Resilience, Asymptomatic,
hani hojjati Babol university of technology MCI, converter, nonconverter
Daniel Holder Merck Research Laboratories Biomarkers
Jess Holguin (OTD... not PhD) University of Southern California neuroimaging informatics genetics
Shivarama Holla K National Institute of Technology Karnataka PET, SPECT, medical images
Robin Holmes University Hospitals Bristol Machine learning, VBM
Sean Holmes Invicro Hippocampus, Ventricle, MR, freesurfer
Ye Hong Sichuan University brain connectome
yi hong the University of Hong Kong fMRI ADHD
Chae Moon Hong Kyungpook National University Hospital Amyloid, Alzheimer, white matter hyper intensity
chen hongjie Xiamen University Of Technology MRI Reconstruction
zou hongliang Nanjing University of Science and Technology research
Lawrence Honig Columbia University amyloid
Joost Hop University of Groningen MRI CT brain phantom
Emrin Horgusluoglu-Moloch Mount Sinai Medical School Genetics, using ADNI data as a teaching example, Friday Harbor
Russ Hornbeck Wash Univ Sch Med - STL Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
William Horne IUPUI Prediction, Machine Learning, EHR
Kyla-Louise Horne University of Otago Parkinson's disease, MRI, ageing, machine learning, biomarkers
Steve Horvath University of California Los Angeles DNA methylation, SNP, epigenetic age, epigenetic clock, brain volume, MRI
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
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
Chih-Chin Hsu National Yang Ming Uniersity lifespan, diffusion, sex difference
Li-Ming Hsu UNC at chapel hill gaphy theory, machine learning
Yi-Hsiang Hsu HARVARD MEDICAL SCHOOL GWAS, NGS, Machine learning, risk prediction
Hsiang Hsu Harvard stage (normal, MCI, or AD), cognitive tests
Ai-Ling Hsu National Taiwan University thalamus, functional connectivity
Eugene Hsu Massachusetts General Hospital fMRI Downs MCI AD
Helen Hu C2N Diagnostics, LLC fluid biomarkers
Edgar Hu East China Normal University Sky8023seA
Nan Hu Genentech biomarker; disease progression
wanqi hu xmu AD;mci;deep learning
Tom Hu UC Berkeley CNN, Tensor, Regression, Deep Learning
jiaxin hu Zhongan Company ADNI
Qing Hu Northwestern University Machine learning solution, risk of Alzheimer
Richard Hu Amgen, Inc Biomarker
Jingyu Hu East China University of Science and Technology Multimodal medical Image
yanting Hu Xinjiang Medical University medical image enhancement; deep-learning method
Qiang Hu Nanchang Hangkong University huqiang071635606
Jianping Hu Fujian meidcal university ASL
Lingjing Hu Capital Medical University Texture analyze, VBM
Weichu Hu Nanchang University deeplearning GAN
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
QIntao Hu UCAS Alzheimer disease
Shuwen Hu Queensland University of Technology Longitudinal Machine Learning Method
Yanshi Hu Zhejiang University Parkinson's disease / motor symptoms, Alzheimer's disease
xiaoyu hu peking university fpca
Shunbo Hu Linyi University Image registration and segmentation
Fei Hua Applied Biomath Alzheimer's Disease, mechanistic model, Abeta
Rui Hua Southeast University deep learning,multimodal imaging,CNN
HUA HUA Kunming University of Science and Technology fMRI,DFC,Brain network
Tao Hua Huashan hospital, Fudan university Alzheimer disease, amyloid-beta, tauopathy, congnition, PET
Liang hualin Tianjin Polytechnic University MCI
Alexandra Huamani Pontificia Universidad Católica del Perú CNN, MRI, Brain
Tao Huan The Scripps Research Institute metabolomics
Yechong Huang Fudan University MRI, Machine Learning, AD, MCI
Li Huang Institution 123456
Peiyu Huang Zhejiang University CBF, network
Yechong Huang Fudan University MCI, Machine Learning
Cedric Huang UESTC Machine learning
Xudong Huang Brigham and Women's Hospital data fusion, biomarker, Alzheimer's disease
Yu-Hao Huang National Taiwan University VGG16, transfer learning, Resnet
Sikai Huang Columbia University AD, CNN
Meiyan Huang Southern Medical University association anlysis
Zhiyue Huang MRC composite
Edward Huang University of Illinois at Urbana-Champaign Network integration, EMR analysis
Baron Huang Northwestern Polytechnical University Deep learning,Recognition,MRI,Hippocampus
Jenny Huang cyagen AI Medical image
Yuhui Huang University of North Carolina at Chapel Hill Machine learning, image recognition, natural language processing
He Huang Lehigh University 3D skull Stripping
Sikai Huang Columbia University ALzheimer's Disease; Deep learning
Xifen Huang Yunnan Normal University gamma frailty model
Qi Huang Huashan Hospital spatial normalise
Biwei Huang Carnegie Mellon University Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
Yuhan Huang National Cheng Kung University Alzheimer's disease, Data mining
Yunyou Huang Institute of Computing Technology, Chinese Academy of Sciences classify, predict, Alzheimer's disease
Hsiao-Chen Huang UCSD brain image, VR, rendering
Xudong Huang Massachusetts General Hospital ICA, Biomarker, Alzheimer, MRI, PET
He Huang University of Queensland m6A, AD
YUE HUANG XIAMEN UNIVERSITY MACHINE LEARNING, DEEP LEARNING, MEDICAL IMAGE ANALYSIS VALIDATION
Haiqing Huang University of Pittsburgh amyloid, PET
Chin-Wei Huang National Cheng Kung University alzheimer's disease
Chao Huang UNC multiscale adaptive regression model shape analysis
Rubby Huang Cornell University 1234567890
yi huang institute of automation, Chinese academy of sciences waite
Malo Huard Paris-Sud Deep learning
Manuel Huerbin MIAC AG Morphometry
Andrew Hufton Springer Nature data-peer-review metabolomics
Nick Hughes Touch Surgery MRI, Augmented Reality, Education.
Jasmine Hughes Insight Data Science machine learning
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
Jung Keun Hyun Dankook Univ Traumatic brain injury; spinal cord injury
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
Juan Eugenio Iglesias Massachusetts General Hospital, Harvard Medical School hippocampal subfield, segmentation
Kay Igwe Columbia University WMH, Spectrum, MRS, MRI
Ryoko Ihara The University of Tokyo preclinical AD, amyloid PET, CSF biomarker, clinical outcome
Tetsuya Iidaka Nagoya University, Graduate School of Medicine resting state, support vector machine
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
rajkumar imatiz VTU Alzheimer's disease, ADNI
Murali Krishna Immadi Potti Sriramulu Chalavadi Mallikarjuna Rao Engg college high dimensional Alzheimer’s disease databases,classification,severity
Umer Imran National University of Sciences and Technology (NUST) 145236
Shah Imran Dhaka University of Engineering and Technology thesis
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
Aya Ismail University of Maryland Machine learning , classification
BOUKLI HACENE Ismail Tlemcen university alzheimer, ADNI,PET,IRM
Victor Ernesto Issa Garcia Columbia University Medical Center Taub Institute BEaST
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
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
amir jaberzadeh usc Hippocampus, thalamus, multiple sclerosis, MRI, 3DT1-weighted images
Grzegorz Jacenków The University of Edinburgh multimodality, machine learning, deep learning
shen jack zjut image segmentation
yu jack University Of Electronic Science And Technology Of China deep learning,Recurrent neural network,AD
sv jack individual MRI
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
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.
Vaishnavi Jadhav Indiana University School of Medicine DTI MRI Tau PET
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
Divya Jain University of Pennsylvania imaging, MRI, bioengineering, texture
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
Kyung Eun Jang Kyungpook National University functional MRI
Jinseong Jang Yonsei University deep learning
Jinhee Jang Seoul St. Mary's Hospital, College of Medicine, The Catholic Univeristy of Korea Deep learning, Atrophy, visual assessment
Insu Jang Korean Research Institute of Bioscience and Biotechnology Deep learning image analysis
Jae-Won Jang Kangwon National University Hospital Visual rating scale, Brain MRI, Alzheimer's disease
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
Mojib Javadi Indoc Research/OCBN data structure, data sharing, data visualization
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
manaswini jena ITER image segmentation, ANN
Stephen Jenkins University of Strathclyde Functional connectivity analysis, cortical thickness, disinhibition, cognitive
Seun Jeon Montreal Neurological Institute & Hospital, McGill University reproducibility
Yong Jeong KAIST fMRI, Resting State, DMN connectivity
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
Hao Ji California State Polytechnic University, Pomona white matter hyperintensity, segmentation
zilong ji Beijing University of Technology machine learning diagnosis
Chenhong Ji Leids Universitair Medisch Centrum registration
Zhiwei Ji The University of Texas Health Science Center at Houston multi-omics, systems biology, predictive model
Zheng Jian XiDian University AD classification
hao jian Beijing University zhongwen
Xiong Jiang Georgetown University Medical Center MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
jingwan jiang ShenZhen university neural network;fMRI
Yueyu Jiang Sun Yat-sen University CNN, medical image, Alzheimer's disease
Xue Jiang College of Staten Island Computer Vision, Image Processing, Neural Networks
Curry Jiang Central South University deep learning, medical image processing
li jiang BEIJING UNIVERSITY OF TECHNOLOGY image fusion,pet
Yuxi Jiang University of Warwick joint modelling, longitudinal process, event time analysis
Zhenhuan Jiang Shanghai Jiao Tong University School of Medicine GWAS study for patient subtyping
Peihao Jiang Shaanxi Normal University brain function networks Alzheimer's disease
Chunxiang Jiang Shenzhen Institutes of Advanced Technology neural activity, brain network
Teng Jiang Nanjing First Hospital Alzheimer's disease, Neuroinflammation, Biomarker
Wenhao Jiang The University of Hong Kong MRI, medical imaging, motion removal
cai jiatong Shanghai Maritime University pet
zhang jiaxu jiangnan university medical image segmentation
Han Jiayi FuDan Univesity TADPOLE; Machine Learning; Alzheimer's Disease; Mild Cognitive Impairment
wang jiayi BUAA Deep reinforcement Learning,image recognition
ji jie Shantou University, GuangDong Province ,China deep learning
Biao Jie University of North Carolina at Chapel Hill fMRI, AD, Brain connectivity network
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
Zhuochen Jin Tongji University jzc5159746
YIn JIn Justice Resource Institue PET Depression, antidepression medications
Yan Jin University of California, Los Angeles DTI
Cheng-Bin Jin Inha University MR image synthesis; cycle consistent; generated adversarial networks; CT-based r
Chengshi Jin UCSF ADNI datasets
Honghe Jin UNIVERSITY OF GEORGIA FMRI, DTI
Ye Jin JIlin University AI,Data Mining
Deepak Jindal mait deep learning project
Liu Jindong Hunan normal university Function Link
Liu Jinduo China brain network; effective connectivity; Bayesina network; AD
Liu Jinduo Beijing university of technology fMRI; AD;brain effective connectivity network;Bayesian networks
zhang jing nanchang university adni
pei jingjing yunnanminzu university Research, Graduation thesis design
feng jinjia renmin university of china paper verification
sun jinkao Beijing University of posts and telecommunication privacy
Chen Jinqiu Guizhou University alzheimer1992
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
Jigar Jogia Aston University brain cognition dementia
Per Johansson Fleningevägen Centrum f Byggnadsvård Alzheimer, biomarker, diagnostic, hormones
Cai John The Jackson Laboratory Deep learning, Artificial Intelligence
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
Caleb Johnson The University of Texas at Austin University Student Research
David Johnson UC Davis Cognitive Impairment, longitudinal decline, Neuropsychology
Jane Johnston Neurotez Inc Leptin, clinical trial, Alzheimer's
Stephen Johnston Swansea University Prosopagnosia, VBM, MRI
Alireza Jomeiri Azad university, Marand branch Alzheimer's disease, PET
Lars Jonasson Umeå University FDG imaging methods
Richard Jones Brown University testing, practice effects
Harpa Jonsdottir Brown University Genetics, using ADNI data as a teaching example, Friday Harbor.
Linus Jönsson H. Lundbeck A/S Economic evaluation, disease progression
Sheldon Jordan Neurological Associates of West Los Angeles fMR, Resting, BOLD, Anatomical, ASL, DTI
Ryan Jordan Brain Health Registry (UCSF) ADNI, BHR
MARIYA JOSE SAHRDAYA COLLEGE OF ENGINEERING AND TECHNOLOGY MRI IMAGE
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
Abhishek Joshi University of Washington computer vision
Jitesh Joshi Tata Elxsi Ltd DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection
Abhinay Joshi Avid Radio-pharmaceuticals, Inc. flrobetapir
Himanshu Joshi National Institute of Mental Health and Neurosciences ApoE Neuroimaging
Anand Joshi USC MCI, cortical thickness
Shantanu Joshi LONI UCLA cortical distributions
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
Cao Jun Wuhan University of Scientist and Technology NifityNet Brain Parcellation
Jihoon Jun OCL fMRI, alzheimer
Kwan-Jin Jung University of Massachusetts Amherst functional connectivity
Merel Jung Jheronimus Academy of Data Science Deep learning, Medical image-to-image translation
Dongjun Jung None sMRI
Jongsun Jung Syntekabio deep learning, hilbert, patient stratification, biomarker
Ho Yub Jung Chosun University localization, machine learning, neural network
Wonmo Jung VUNO Alzheimer's Disease, Deep Learning
Zhuo Junjie Chinese Academy of Sciences MRI, neuroimage, AD
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
Roos Jutten VU University Medical Center Alzheimer's disease; composite scores; clinical progression
Carlos Alex Sander Juvencio Gulo Universidade do Porto segmentation high performance computing
monika jyotiyana central university of rajasthan,Bandarsindri AD,neurodegenerative disorders,
karthik k NITK dataset , feature extraction, vsm, lsa
sabeena k COLLEGE OF ENGINEERING KARUNAGAPPALAY TADPOLE
RAGHAVENDRA K NIMHANS PET
L K UoY BA47, Alzheimers, hippocampus
Vishnu K Jyothi Engineering College, Cheruthuruthy, Thrissur TADPOLE challenge,neural imaging,alzheimer's disease,
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
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
Catherine Kaczorowski The Jackson Laboratory Genetics, using ADNI data as a teaching example, Friday Harbor
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
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
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
Josh Kaminker Genentech clinical trial
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
Alex Kanevsky Metis Machine learning, data science
cheol kang SAS ANDI
Jiyoung Kang Yonsei University fMRI, DTI, PET, bioinformatics
jihye kang kisti Life Medical
Jian Kang University of Michigan Statistical methods, GPU
Ju Hee Kang Inha University A-beta42, tau, phospho-tau
Seung Kang SNU deep learning
Hyeon Kang Institute of Convergence Bio-Health, Dong-A University ML, AI
MIN JU KANG Seoul National University Bundang Hospital Sleep, Amyloid, Alzheimer's disease
YUN SEOK KANG The Ohio State University Post mortem human surrogate
Kaidi Kang Johnson & Johnson Disease progression model
Soo-Jin Kang Asan Medical Center machine learning
Do-Young kang Dong-A university hospital Resnet, transfer learning
Jiayin Kang Huaihai Institute of Technology PET
Hee-Ju Kang Chonnam National University Hospital, Gwangju, K MCI, AD, genetics, sequencing
Hakmook Kang Vanderbilt University functional connectivity, spatio-temporal model
Nirmal Kannan Paavai Institute Alzheimer
balaji kannappan chosun university hippocampal subfield
Jacob Kannarkat University of Miami Miller School of Medicine TADPOLE
Anuraag Kansal Evidera, Inc. simulation, model, clinical trial
Jayanth Kanugo University of Missouri CNN machine learning
Adam Kaplan University of Minnesota Joint and Individual Variation Explained
Nicole Kaplan Cleveland Clinic Lou Ruvo Center for Brain Health Alzheimer's Disease, MCI, Sex Differences
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,
Keith Karcher Janssen Research & Development "cognitive assessments", "longitudinal change", "asymptomatic, at risk subjects"
Helmet Karim University of Pittsburgh brain age, gray matter density, onset variability
Rejaul Karim Michigan State U Research, data analysis
Hamed Karimi Amir Kabir University of Technology alzheimer, diagnosis, FMRI, neuroimaging, machine learning. Gene expression
Hamed Karimi University image processing/deep learning
mahboobe karjoo science and research university fmri
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
Naama Karu Wishart lab / TMIC metabolomics
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
Sara Kassani University of Saskatchewan Alzheimer disease, ontology, semantic data integration
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
daman kaur ulster university Alzheimer's disease
Prabhjot Kaur CU MRI, sMRI , sparse representation
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
Mitsunori Kayano Obihiro University of Agriculture and Veterinary Medicine Biomarker, CSF, plasma, Brain
Safak Kayikci Abant Izzet Baysal University Image Processing Harmonization
yosra kazemi Brock University Deep learning; Alzheimer’s Disease; fMRI
Zahra Kazemi Tehran University of Medical Sciences mci, ad, pctchange, wmh
Amirali Kazeminejad University of Calgary Graph Theory, Human Connectome, Machine learning
Anees Kazi Technical University of Munich Deep learning, data retrieval, machine learning
Rijan kc National college of Engineering 12345
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
Frauke Kellner-Weldon University norm data, quality control,
Frank Kelly HAL24K Hackathon, TADPOLE, data science
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
Nirmal Keshava Constellation Analytics, LLC machine learning, unsupervised, patient similarity, precision medicine
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
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
RIYAJ UDDIN KHAN INDIAN INSTITUTE OF TECHNOLOGY, INDORE disorders
Wasim Khan King's College London, Institute of Psychiatry AD, MCI, MRI, CSF
Aqib Khan Air University ISML
Afreen Khan Aligarh Muslim University Alzheimer's disease, machine learning, big data
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
ikram kiki ISG multi sources ensemble methods data fusion missing data
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
Do-Hoon Kim Asan Medical Center Qunatification
Sunghee Kim Gettysburg alzheimer, diabetes
Minseon Kim KAIST fMRI, Deep learning
Hang-Rai Kim Korea advanced institute of science and technology Amyloid, MCI, Deep Learning
Jeongsik Kim Samsung Medical Center FDG-PET; epilepsy, metabolic changes
Sangwook Kim Korea university radiomics
Heeseok Kim Kangwon National University Hospital anxiety, MCI
YEO JIN KIM Samsung medical center APOE2, amyloid deposition
Do-Hoon Kim Kyungpook National University Hospital Quantitative method, amyloid PET
Jae Sung Kim Seoul National University Hospital Hypothalamus, Alzheimer
Hwiyoung Kim Yonsei University College of Medicine AD prediction with deep learning
Jeongchul Kim Wake Forest University Baptist Medical Center Brain imaging, Biomechanic, Deformaiton, MCI/AD
Joseph Kim Seoul National University Deep Learning, multimodal registration
Tae-Sung Kim National Cancer Center Stastical analysis, Deep learning
Yangsik Kim Asan Medical Center follow-up, deep learning, Alzheimer's disease
Hyunjin Kim Yonsei University MCI, MVPA, functional connectivity, amygdala
Minhee Kim University of Wisconsin, Madison prognostics; predictive analytics; Gaussian Process
SOYEON KIM Ajou University graph, network analysis, alzheimer's disease, disease prediction
Dokyoon Kim Geisinger Health System Data integration, multi-omics data, machine learning
JEE WOOK KIM Hallym University Dongtan Sacred Heart Hospital subjective memory complaint, , Alzheimer's disease, MCI, cognitive normal
Sungeun Kim State University of New York imaging genetics
C. Kwon Kim Holmusk Alzheimer’s disease, predictive model, simulation, machine learning
Seungjoo Kim samsung medical center MBI
Byung-Hoon Kim Korea Advanced Institute of Science and Technology (KAIST) fMRI, machine learning
Wook Kim Korea Institutes of Radiology and Medical Sciences AD PET, MR, deep learing
Nakyoung Kim MIDAS IT freesurfer
Hyungjun Kim Soonchunhyang subjective memory impairment
Donghyeon Kim NEUROPHET mri ct synthesis
Jongin Kim Gwangju Institute of Science and Technology machine learning, signal processing, sparse modeling
Jun Pyo Kim Samsung Medical Center Machine learning, Tau PET
Jeonghun Kim Korea University neuroimage
david kim hanyang university Alzheimer's disease
Young Ju Kim Samsung Medical Center (South Korea) APOE, cognition, MCI
ki hwan kim KAIST deep learning, MRI, reconstruction
SUNG WON KIM Yonsei University dementia
sekeun kim Yonsei mri
Jong Hun Kim Samsung medical center GWAS, biomarker, prediction
Daehan Kim Korea University alzheimer, sequential prediction
MINSEOB KIM KAIST Deep learning, VBM, prediction, computer aid diagnosis
bohyun kim hanyang univerisy imaging genetics
Manho Kim Seoul National University Hospital Alzheimer disease, Predict, Progression
Wook Kim Seoul National University Deep learning, AD, MCI
eunji kim alzheimer's consulting & services Alzheimer's disease
Grace Kim Seoul National University Sex Differences, Alzheimer's Disease, Mild Cognitive Impairment
ChanMi Kim Asan Medical Center, Ulsan University School of Medicine MR image, PIB-PET, DTI tractography
Heeyoung Kim Kosin University Gospel Hospital DTI, Amyloid, Alzheimer's dementia
Chi-Hun Kim University of Oxford Alzheimer's disease, Signature method, Longitudinal data modelling
Chanwoo Kim University of Korea deep learning, machine learning
Tobias Kind UC Davis Genome Center Machine learning, secondary data analysis
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
Richard Klein Georgetown training
Alison Klein Johns Hopkins School of Medicine Control, Familial Pancreatic Cancer
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
Rebecca Klinger Duke University Medical Center amyloid, cognition, cardiac surgery
Jared Klug Boston University Alzheimer's Disease
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
Lindsay Kobayashi Georgetown University Cognitive reserve, using ADNI data as teaching example, Psychometrics Workshop
Kazuma Kobayashi National Cancer Center Research Institute deep learning
Kaori Kobayashi Osaka University Age at onset, AI, brain imaging
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
Lauren Koenig Washington University in St. Louis Aging; Atrophy; MRI; Alzheimer Disease
Loren Koenig NYU School of Medicine cerebral metabolic rate, glucose metabolism, amyloid-beta pathology
Kai Kohlhoff Google Disease progression, biomarkers, machine learning, multimodal
Juha Koikkalainen VTT Technical Research Centre of Finland spatial normalization
Marisa Koini Medical University of Graz AD, cognition, functional and structural network changes
Vijaya Kolachalama Boston University School of Medicine AD, MRI
Arinbjorn Kolbeinsson Imperial College London machine learning, prediction, deep learning
Karolis Kolbus Therapy Box screening,Alzheimer's,machine 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
Xiangnan Kong Worcester Polytechnic Institute brain network, fMRI
Xiangzhen Kong Beijing Normal University practice
Linglong Kong University of Alberta Alzheimer's Disease Neuroimaging Initiative, Corpus callosum, Fractional Anisotr
Xiang-Zhen Kong Beijing Normal University replication analysis
Lingli Kong Qingdao Mental Health Center FDG
Dehan Kong University of Toronto Neuroimaging Data Analysis
Wei Kong Shanghai Maritime University multi-omics data; feature extraction; transcriptional regulatory network
Xiaoting Kong Peking University research duplication for a paper accepted by ICML 2017
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
Sergey Korolev Institute for Information Transmission Problems Autoencoder, CNN
Nils Korte UCL Machine Learning Alzheimer's Disease
Laura Korthauer Brown University norepinephrine, beta amyloid
Vladimir Korzun NTUU KPI -
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
Thulasi Krishna Jyothi Engineering College Multiview representation; Multi-template; Classification; Alzheimer’s disease;
vamsi krishna Indian Institute of Information Technology disease progression modeling
Stephan Krohn Freie Universitaet Berlin fractal dimension; computional image analysis; tissue complexity measures
Martin Kronbichler University of Salzburg dwi, gradient
Frithjof Kruggel UC Irvine DTI
Jan Krumsiek Weill Cornell Medicine metabolomics, stratification, computational biology
Karthik Sekaran KS Vellore Institute of Technology Machine Learning, Oncology
Changwan Ku ChungAng univ neuroimaging
xinkai kuang Jilin university Alzheimer's disease
liqun kuang Arizona State University Network measure, persistent homology, rips filtration, functional connectivity
Amy Kuceyeski Weill Cornell Medical College computational analysis, brain connectivity network, prediction of AD progression
Laurynas Kucinskas LSMU volumetry
Haluk Kucuk Marmara University deep learning, machine learning
Alexandra Kueider-Paisley Duke University metabolomics
Donald Kuhl Lawson Research Institute ADNI-GO
Sue Kulason Johns Hopkins University computational anatomy, longitudinal, ERC
SIDDHESH KULKARNI University of Connecticut, Storrs,USA Sparse Canonical Correlation, High Dimensional Data, Brain Networks
Omkar Kulkarni Worcester Polytechnic Institute ADNI, Alzheimer, Medical Imaging
Arman Kulkarni University of Wisconsin, Madison Machine learning, PET, MRI, Alzheimer's Disease, Mild Cognitive Impairment
ankita kulkarni MITCOE machine learning, alzheimer's disease
Mukta Kulkarni National Institute of Technology Karnataka CT/dMRI conversion
Alexander Kulminski DUKE UNIVERSITY Alzheimer's disease, polygenic profiles, interaction, Apolipoprotein E
ANIL KUMAR aitam BIO MEDICAL IMAGE PROCESSING
Pankaj Kumar NIT Patna alzheimer's disease
SAMBATH KUMAR PONDICHERRY UNIVERSITY mri,ad and mci
Abhishek Kumar IPR Deep Learning, Data Mining, Software
Neeraj Kumar University of Jammu MRI, Biomarkers, tau, beta-amyloid, Alzheimer's, PET, Deep Learning
Karthik Kumar P.A.College of Engineering and technology MRI images
NISHANT KUMAR TU DRESDEN Multi-modal fusion, Machine learning
Pranshu Kumar IIT(BHU) mri AD
Varun Kumar Indian Institute of Technology Delhi, India fMRI, brain modeling, diagnosis
anupam kumar Maharaja Agrasen Institute Of Technology Alzheimer, detection
Ankit Kumar Indian Institute of Technology Patna Alzheimer's disease FMRI
B PRAVEEN KUMAR TRUEVOLTS MSE
Pawan Kumar NUS Yong Loo Lin School of Medicine AICD, APP intracellular domain
Dinesh Kumar University of California Davis metabolomics, text mining, machine learning
Kuldeep Kumar Ecole de technologie superieure Co-clustering, dictionary learning, classification
Arvind Kumar SLIET LONGOWAL CNN, ANN, Deep learning.
SANGEETA KUMARI INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY softmax regression, ANN, ICA
Vijaya Kumari VIT-AP Alzheimer MRI PET
Sudhakar Kumawat Indian Institute of Technology Gandhinagar deep learning
Han Kun Harbin Engineering University MRI, Deep Learning, Neural Network
PETER KUNACH McGill University WMH, DWI, FDG
Swathi Kundaram Gujarat Technological University Deep learning, Alzhimer, Diagnosis
Jacky Kuo University of Texas Health Science Center Houston Continuous-Time markov chain
Phillip Kuo University of Arizona PET, amyloid, software analysis
USHA Kuppe Channappa BMS college of engineering Alzheimer, Mild cognitive impairment ,
Hitesh Kurapati IIT B Alzheimer's disease , deep learning
Aseem Kurhekar MIT College Of Engineering MCI,AD,MRI,Machine Learning
P Kurian Howard University tau, neurofibrillary tangle
venkata harikrishna yadav kurra Texila American University DATA REQUEST.
vimal kurup r amrita for research
Carolin Kurz University Hospital, LMU Munich, Germany Alzheimer´s disease, sleep, blood brain barrier dysfunction
Kaisar Kushibar UdG structure segmentation
Hiroto Kuwabara Johns Hopkins University tau-positive scan; tau-neuromaging
Kichang Kwak McGill University Alzheimer's Disease, prediction model, deep learning
Seyul Kwak Seoul National University Brain age, predictive modeling
Kenneth Kwan IXICO MRI
Winnie Kwang UCSF ADNI; BHR
Nayeon Kwon SNU alzheimer's disease, MRI, EEG
Jangho Kwon Korea Institute of Science and Technology Deep learning, Classification, Convolutional Neural Netowrk
Taekyung Kwon AbbVie histology
Young Hye Kwon KAIST language, AD, fMRI
Gi Hyun Kwon KAIST deep learning,fmri,Alzheimer
Kay Thwe Kyaw SUNY Downstate School of Public Health Alzheimer's disease
Saewon Kye JLK-Inspection Alzheimer's research
Panagiotis Kyriakis 1992 machine learning
Girish L CIT Deep Learning, Machine Learning
jy l BUPT a123456
Christian La Stanford dynamicFC using rs-fMRI
Claire La Fleur University of Virginia cognitive dedifferentiation, aging, individual differences