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Investigator Institution Keywords
Soniya - Dayalbagh Educational Institute machine learning techniques, Alzheimer’s disease
Srinivasan A CSIR-CMERI Alzheimer's Disease
Thushara A TKM College of Engineering Image processing, deep learning, AD
Dinu A J Noorul Islam AI,Alzheimer's disease
Jac Fredo A.R Nanyang Technological University Sparse inverse covarience
aasa aa weser executive function, exercise
nima aalizade RS Alzheimer’s disease Structural MRI Feature extraction Feature ranking Computer-a
Mohammad Hadi Aarabi Tehran University of Medical Sciences Diffusion MRI
Ardalan Aarabi UPJV fmri, dti
MOHAMED AATI UCAM CNN, Classification
John Aballi Molecular Stethoscope cfRNA
saeid abbaasi FUM Multi-modal; dimensionality reduction; dynamic structure; effective distance.
Anzar Abbas Emory University default mode network, quasi-periodic patterns, dynamics of BOLD signal
abd elazeim abd alla mohamed nour south east university MRI,AD,MCI
fatma ABDEDAYEM NATIONAL SCHOOL Of ENGINEERING OF SFAX, Tunisia fmri, segmentation, classification, blod signal
Mohamed Abdelaziz Delta Academy Ensemble learning , Spatial–temporal constraint
Carla Abdelnour Fundació ACE. Barcelona Treatment and Research Center Lewy body disease, biomarkers, cognitive profile
INES ABDENNAJI Universitat de les Illes Balears Alzahaimer
AmirHussein Abdolalizadeh Student's Scientific Research Center MRI, Imaging Genetics, Alzheimer's Disease, PTSD, Graph Theory, PET
Mahsa Abdollahi Amirkabir University of Technology(Tehran polytechnic) Classification, Brain Diseases, Alzeimer, SVM, KNN
sahar abdolmaleki iran Diagnosis, Alzheimer
Ahmed Abdul Karim College of E&ME, NUST Image Processing Analysis Appearance
Yousry AbdulAzeem Misr Higher Institute for Engineering and Technology Alzheimer’s disease; CNN; Deep Learning;
Ahmed Abdulkadir University of Freiburg classification, machine learning
ahemd abdullah arab acdemic for enginnering AD ,HYBRID CLASSIFICATION
Mohammed A M Abdullah Ninevah University fMRI, machine learning, AD, classification
Sachal Abdullah Forman Christian College (A Chartered University), Lahore Deep Learning , artificial neural nets , EMCI , LMCI
Dilbar Abdurakhimova Minnesota Sate Univ. Mankato MDMR
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
Sarah Ackley University of California San Francisco amyloid-PET, cognition, prediction
Noriaki Adachi MSD. K.K. (Japan Branch of Merck) threshold
Benjamin Adams Eli Lilly & Co. deep learning, AI, neural network
Hieab Adams Erasmus MC University Medical Center Neurodegeneration, high-dimensional data, brain imaging, genetics
Christopher Adamson Murdoch Childrens Research Institute corpus callosum, cortical thickness, logitudinal
Stanislaw Adaszewski Lausanne University Hospital tSNE
Silvia Addamo University of Pavia ciao
Tameem Adel University of Amsterdam MRI Classification, Unsupervised Feature Learning.
Ehsan Adeli Stanford University Machine Learning, Computational Neuroscience, Medical Imaging
Nil Adell Mill ETH Zürich & Zürich University Deep Learning, Early Diagnosis, Interpretability in Deep Learning
Karim ADERGHAL Faculty of sciences MRI, DTI, Deep learning
Paul Adlard The Florey Institute for Neuroscience and Mental Health Zinc, cognition, ageing, Alzheimer's disease
Saeedeh Afshari Simon Fraser University PET image processing, activity analysis
Awais Aftab Case Western Reserve University/University Hospitals Cleveland Medical Center GDS, depression, amyloid
Iman Aganj Massachusetts General Hospital / Harvard Medical School Brain connectivity
dhruv agarwal University of Illinois Urbana Champaign disease overlap, image,genetic,
Aakanksha Agarwal University of Ottawa machine learning capsule networks mri datasets classification convolutional cnn
Akshay Aggarwal Indian Institute of Technology, Indore Research Project, Classification, Prediction
Rishal Aggarwal Birla Institute of Technology and Science, Pilani Neural Networks Machine Learning
Kunal Aggarwal Amity University Machine Learning, AD, MCI
Parya Aghasafari UC Davis Feature selection, Machine learning
mary aghili florida international university denoising on adni
Mary Aghili 1985 Alzheimer, MCI, NC, machine learning, deep learning
Isha Agrawal Netaji Subhas Institute of Technology Neural Networks, sMRI, fMRI, MCI, AD, Alzheimers
Vismay Agrawal Indian Institute of Technology Madras Medical Image Analysis
Rimjhim Agrawal Artificial learning system machine learning,bio-marker,alzheimer's, diagnosis
Praful Agrawal University of Utah image registration
Jamila Ahdidan Aarhus University AD, hippocampus, prediction
Wahab Ahmad COMSATS UNIVERSITY ISLAMABAD(SAHIWAL CAMPUS) Alzheimer's Diagnosis
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
Seyed Emad Ahmadi Yale School of Medicine brain segmentation, convolutional neural networks, machine learning
Sara Ahmadi-Abhari Imperial College London Alzheimer's disease, dementia, SUVR, Amyloid, Neurodegeneration
Samsuddin Ahmed BUBT Deep learning, AD
Rishad Ahmed University of Jinan Dementia, Deep Learning
Faisal Ahmed University of Liberal arts Bangladesh Project, Final Year, Alzheimer's,
Juweiriya Ahmed Western University Psychosis, AD
Tahera Ahmed Bond University Alzheimer's, ADNI, Big Data, Machine Learning, Health Analytics
Tanveer Ahmed KF VISTAS Segmentation, Clipping, Integration, Histogram features
Yong Yeol Ahn Indiana University network, multi-omics, data integration
Sujin Ahn Gwangju Institute of Science and Technology alzheimer
Qing Ai Northeastern University AD; PET images; MRI images
Dennis Ai Stanford University MRI, Alzheimer, Convolutional Neural Networks
Qing Ai University of Science and Technology Liaoning machine learning; MRI; PET
Yu Aihui WUST yuaihui137
Chrysanthi Ainali UCB machine learning, predictive models
David Airey Eli Lilly and Company NfL hippocampus biomarker
Paul Aisen University of Southern California data sharing methods
eman aita benha university 123
Viljami Aittomäki Nightingale Health Ltd metabolomics, AD, Alzheimer's disease
Santiago Aja-Fernandez Universidad de Valladolid Diffusion MRI, anisotropy measures, robust estimation
Hameed Ajala National University alzheimer
sharmen akhter islamic university abc
yasmeena akhter IIIT Delhi ML, MRI, fMRI, Brain diseases
Alex Aklson IBM Canada Deep Learning, Classification, Alzheimer's Disease, Older Adults
Essang Akpan University of Pittsburgh lateralization, asymmetry
Leon Aksman UCL structural MRI, longitudinal analysis, imaging genetics
KEMAL AKYOL Kastamonu University random forest, logistic regression
Yasmina Al Khalil Eindhoven University of Technology MRI segmentation, deep learning for medical imaging
Ahmad Al Khleifat King's College London Genetics analysis, SV, CNVs, Telomere
Hasan Al Marzouqi Khalifa University of Science and Technology deep learning, residual networks, constitutional networks, SNPs
FADHL MOHAMED AL-AKWAA UNIVERSITY OF MICHIGAN metabolomics, personalized medicine
Bassam Al-Fatly Charite University Medicine fMRI, DTI, connectivity, severity
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
Aws AL-ZARQAWEE Universiti Malaysia Pahang CNN,Softmax
eman alaa engineering 3SV50
Reema Alabdullatif King Saud University Machine learning
Adnan Alahmadi KAU fMRI
Abdulwahab Alahmari King Saud University MRI, Alzheimer, hippocampus
FADHL ALAKWAA MICHIGAN UNIVERSITY drug discovery , drug repurposing
John Alam EIP Pharma Episodic Memory, Longitudinal Change
MERVE ALANYALI UNIVERSITY OF WARWICK/THE ALAN TURING INSTITUTE deep learning, convolutional neural nets, data science
Hezam Albaqami University of western Australia EEG signals, alzheimer disease, brain network
Eddy Albarran Stanford University AD, machine learning
Kimberly Albert Vanderbilt University Medical Center subjective cognition, attention
Daniel Albrecht University of Southern California Amyloid, tau, CSF, blood
Jack Albright Nueva School Machine Learning, Student, TADPOLE
Sarael Alcauter Instituto de Neurobiología UNAM sulcal width, Alzheimer,
Thomas Alderson Ulster University thalamo-cortical modelling DTI
Ali Alhamud UT aging, brain connectivity, volumetric morphological measurements
nawaf alharbi university of southern california deep learning , cnn, rnn
RAJMA ALI nit sikkim brain tumor
Raza Ali Xinjiang University Deep learning Convolutional Neural networks
Mohd Hanafi Ali The University of Sydney Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive
sana ali uet machine learning classification alzheimer
SHABBIR ALI RYERSON UNIVERSITY Health, Crime
Imdad Ali IIUI Classification
muhaddisa ali Chalmers University Preprocessing, FSL, Deep learning, classification
Shahzad Ali University of Engineering & Technology, Lahore, Pakistan MS Project Analysis
Sanam Ali Sunnybrook Research Institute rsfMRI; preprocessing optimization
Rizwan Ali Comsats University, Abbottabad campus alzeimer, machine learning, epistasis
babar ali uet lahore cnn dataset
Ali Kevin Ali Kevin Lanzhou University predict Alzheimer's disease
Adriel Alejandro Aliaga Benavides Granma University classification, brain images,neurosciences
Affan Alim PAF- Karachi Institute of Economics & Technology Alzheimer
mohammad aliyari Islamic Azad University CNN
mohammad aliyari Islamic Azad University CNN
IBRAHIM ALIYU CHONNAM NATIONAL UNIVERSITY Alzheimer's, Big Data, cloud-based, EEG, Machine learning
Mohamad AlJasem Tehran Univeristy of Medical Sciences Machine Learning, Artificial Intellgince, Deep Learning
ZAID ALKHALEDI UNIVERSITY OF KENTUCKY MDR; Model Selection; Continuous Phenotype; Ordered Combinatorial Partitioning
ALHASAN ALKHATIB Sakarya University MCI, Alzheimer, Image Processing, Machine learning
Luz Maria Alliende Pontificia Universidad Catolica de Chile cognitive reserve, brain imaging
HANANE ALLIOUI Cadi Ayyad University alzheimer, brain , MRI, dicom
Ina Almdahl Oslo University Hospital Cerebrospinal fluid Amyloid Depression
Kílvia Almeida UECE Research, Bachelor's thesis
Hannes Almgren Ghent University Effective connectivity, structural connectivity, cognition
Saif Aldeen AlRyalat University of Jordan Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy.
Majd Alsado University of Alberta practice, personal
Aamna AlShehhi Khalifa University of Science and Technology - MIT Autoencoder, Multi-model deep learning , AD risk factors
Haifa Alshehri Taif University early diagnosis ,Alzheimer , Classification
shaimaa altaay University of Baghdad Alzheimer/MRI
Tooba Altaf Private Alzheimer
Lujain AlTamimi University of Minnesota AD Cause
Andre Altmann University Collage London Imaging Genetics, Next Generation Sequencing
Michelle Alva St. Francis Institute of Technology MRI, PET, AD, MCI
Alfredo Alvarez Solis IBM Alzheimer
Jennifer Alvén Chalmers University of Technology Spatial normalization, deep learning, tau PET imaging
FATIMA ALZAABI The University of Manchester Alzheimer
Yahyah Aman University of Oslo Alzheimer’s disease, mitophagy, biomarkers
Robert Amaral Douglas Mental Health University Institute hippocampus, white matter, Alzheimer's disease
Ambaw Ambaw George Washington University Stacked Autoencoder, Convolution Neural Networks
Rula Amer Tel Aviv university deep learning, DTI, segmentation
Yusuf Ameri University of Maryland deep learning, research, undergraduate, cnn, image classification
remya amernath ponjesly college of engineering threshold,segmentation
Ala Amini Duke University MRI training examples
Amin Amini Amirkabir University of Technology Disease Diagnosis, fMRI, Deep Learning
Nicola Amoroso Università degli studi di Bari Complex networks, deep learning, Alzheimer, brain connectivity, brain aging
Sabrina Amrouche CERN Machine learning pattern discovery mining
Yu An Capital Medical University meta-analysis, CSF AD-type biomarkers, original data
Jennie An Washington University in St. Louis Independent component Analysis
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
Raj Anantharaman University of Missouri Kansas City Deep learning, CNN, Classification
Essa Anas Anas machine learning
Athanasios Anastasiou Swansea University Electronic Health Records, Data Modeling
Gholamreza Anbarjafari University of Tartu Alzheimer disease, statistical analysis, deep learning, super resolution
Gholamreza Anbarjafari University of Tartu Machine Learning, Alzheimer's disease, MRI scans
Sami Andberg University of Eastern Finland Alzheimer's disease, early detection, machine learning
Jeff Anderson University of Utah MRI, MCI
Emma Anderson University of Bristol Education, intelligence, Alzheimer's disease, Dementia
Loretta Anderson Johns Hopkins School of Public Health Alzheimer's Disease; Disease Progression; MCI; Biostatistics
Wes Anderson Eli Lilly and Company Alzheimer's pre-clnical research
Vesna Andova Faculty of electrical engineering and IT Alzheimer’s Disease, similarity measurement, image retrieval, data mining
MARIA ANDRADE FEDERAL UNIVERSITY OF PERNAMBUCO machine learning, computer vision, image features, deep learning
Shea Andrews Icahn School of Medicine at Mount Sinai Alzheimer's disease; mitochondria; genetic variation
Gerda Andringa University College Roosevelt, Utrecht University image analysis, independent component analysis, alzheimer's disease
John Ang AI Singapore Deep learning, feature level irregulariries
cucun angkoso Institut Teknologi Sepuluh Nopember feature reduction, deep belief net, alzheimer
Liz Antoinette Anguren Cebu Institute of Technology - University MRI, Alzheimer, pstd, bipolar, adhd, autism, schizophrenia
Isabel Ann Wingert Drexel University image processing, Alzheimer's, matlab
henry ansah knust deep learning
Shahab Ansari GIKI automatic brain segmentation, Alzheimer's disease, machine learning
Manon Ansart INSERM multimodal, cognition, MRI, longitudinal, machine learnin
Lin Anshi Shanghai Maritime University alzheimer's disease
Ahmed Anter Beni-suef University Neurology, MCI, AD
Thomas Anthony University of Alabama at Birmingham HPC machine learning
Isadora Antoniano Villalobos Bocconi University Youden_index Nonparametric_inference covariate_specific_diagnosis
Rubina Antony Fisat alzheimer detection
Mazin Aouf Western Sydney University Medical Research Datasets
Li Yew Aow Yong Universiti Teknologi Malaysia classification
Kingkarn Aphiwatthanasumet Naresuan University MR image processing
Chatchawit Aporntewan Chulalongkorn University Microsatellite markers, Alzhemimer's disease, mild cognitive impairment
Liana Apostolova IU AD biomarekrs
Kevin Appadoo university of mauritius Fractal
Dace Apsvalka Medical Reseach Council Hippocampus
Anza Aqeel CEME, NUST RNN, SVM,Alzheimer
Ghazal Arabidarrehdor 1994 Machine Learning, Alzheimer's, Dementia
Miguel Ángel Araque Caballero Klinikum der Universität München MRI, PET, DTI, APOE, amyloid-beta
Gilderlanio Araújo Federal University of Pará association networks, non-coding RNA, eQTL, population genomics
Mohammad Arbabyazd INS reconstruction, virtualisation
Mohammad ARBABYAZD Institut de Neurosciences des Systèmes- INS Alzheimer's disease
Derek Archer University of Florida diffusion MRI, tractography
Kellie Archer The Ohio State University ordinal response; discrete response; high-dimensional data; penalized methods
Damiano Archetti IRCCS Centro San Giovanni di Dio-Fatebenefratelli computational models
Babak Ardekani Nathan Kline Institute MRI; Corpus callosum; shape analysis;
Eider Arenaza-Urquijo Mayo Clinic Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Eleni Aretouli University of Deusto intraindividual variability
Alejandra Arévalo Sáenz Hospital Universitario de la Princesa tractography parkinson
Konstantinos Arfanakis Illinois Institute of Technology diffusion, DTI, registration
Franchesca Arias University of Florida cognitive reserve
Carlos Arias FAR Institute machine learning
Yassine Aribi ENIS images
SHIORI ARII HEROZ CT,Super-Resolution, Image Enhancement, Deep Learning
Ivan Arisi Fondazione EBRI "Rita Levi-Montalcini" Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis
Magnolia Ariza-Nieto epIAWELL LLC epigenetics, personalized, early diagnostics, obesity, metabolism, liver
Muhammad Ashfakur Rahman Arju Daffodil International University classification, agent, svm, tensorflow,
Steven Armentrout Parabon Computation MDR, epistatis, cloud computing
omri Armstrong Tel Aviv University Domain Adaptation
Nicole Armstrong National Institute on Aging Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Matthias Arnold Helmholtz Zentrum München gaussian models, data integration, network analysis
Aiden Arnold Kaggle deep learning, machine learning, predictive modeling
Rahul Arora Samsung Research India Deep Learning, CNN, MRI
Rahul Arora Samsung Research India Deep Learning, CNN, MRI
Salim Arslan Imperial College London machine learning, dementia, Alzheimer’s disease
Emilio Artacho-Perula University of Castilla-La Mancha Alzheimer, Euclidean distances, MRI
sai arthi SSN Engineering College Diagnosis, automated, early detection, Alzheimer's Disease
Christoph Arthofer University of Nottingham MR brain segmentation
Michael Arthur University of Texas at Austin Joydeep Ghosh
Eivind Arvesen N/A machine learning, deep learning, ai, neural networks
Zobair Arya University of Oxford Diagnosis, machine learning, temporal modelling, multi-modal analysis
Nibal Arzouni USC AD, Imaging genetics,
Hadis Asadi Islamic azad university Central Tehran Branch Medical radiation
farnaz asadifard shahid beheshti university AD fmri images
Maame Gyamfua Asante-Mensah Skoltech Neural Networks, Classification
Charubutr Asavaroengchai A.I. Brain Co., Ltd deep learning
Davud Asemani MUSC MRI structural analysis
Kamiar Asgari USC EEG time series, Abnormality detection, CPS, fractional dynamics
nina ash amirkabir university Alzheimer's Disease, PET, image processing
Wes Ashford Stanford leptin, Alzheimer, blood, dementia
Abida Ashraf GG post Graduate Collage No.1Abbotabad Alzheimer
Azhaar Ashraf Imperial College London Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin
Breton Asken Brown University risk score, conversion, multivariate base rate, amyloid, ATN
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
Meltem ATAY MIDDLE EAST TECHNICAL UNIVERSITY Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks, Effective Connectivity,
Meltem Atay Middle East Technical University Deep Learning, Convolutional Neural Networks
MIRUNA FLORENTINA ATES MALTEPE UNIVERSITY brain volumetry, Alzheimer disease, analyse, cognition
Taylor Atkinson University of South Florida MoCA, media, test exposure
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
Gaelle Aubertin-Kirch MIAC-AG standardization, automatic process, software evaluation
Michel Audette Old Dominion University hippocampus, atrophy, prognostic biomarker
Tibor Auer Royal Holloway University of London automatic analysis; dynamic connectivity; fmri; big-data
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
Pedro Alejandro Avila Plaza Universidad Piloto de Colombia alzheimer
Daniel Felipe Avilán Caldas Universidad Nacional de Colombia DTI
Netanell Avisdris Ichilov Hospital superresolution
Netanell Avisdris Ichilov Hospital superresolution
Tzvi Aviv AvivInnovation caspase-6, app, tau,
Hifza Awan University of Gujrat 123
suyash awate IIT Bombay segmentation evaluation
Enes Ayan Kırıkkale University Alzheimer, Deep Learning, CNN, Medical Image Analysis
Aymen Ayaz National University of Science & Technology, Islamabad Pakistan classifier, automatic, MRI, early, diagonosis, Alzheimer
Yesim AYDIN SON Middle East technical University Data mining, Hybrid Methods, SVM-ID3
Matt Ayers indiana university ADC cognitive reserve
Alp Aygar New York University autoencoder, deep learning, transfer learning, MTBI
Murathan Aytekin Istanbul University CNN Classifier AD
Scott Ayton University of Melbourne CSF amyloid b, tau, heart rate, blood pressure
ASLI AYTULUN HACETTEPE UNİVERSİTY SCHOOL OF MEDİCİNE NPT, dementia
Deepak Nag Ayyala Medical College of Georgia, Augusta University time series; resting state; high dimensional inference;
Cristian Azamar García Universidad Autónoma Metropolitana Alzheimer, Characterizing, database.
Tiago Azevedo University of Cambridge fmri mri clinical
Nasir Aziz Leiden University Medical Center body weight
HANI NAJIHAH AZIZ University Tun Hussein Onn Malaysia Alzheimer's Disease,Computer Aided Monitoring, Image processing,
Ahmadreza Azizi VirginiaTech Adversarial attack
Mohd Hafrizal Azmi Universiti Putra Malaysia PET/CT, AD classification
Pushpa B R Amrita Vishwa Vidyapeetham segmentation, classification
Rekha B U Visveswaraya Technological University Machine learning, Artificial Intelligence, Alzheimer's disease
Maowen Ba Yantai Yuhuangding Hospital rpAD;Prevalence;Biomarker
Dulguun Baasandavaa Harvard University Alzheimer, EDA, Cognitive impairment prediction
Rosha Babapour Mofrad VU medical center NFL
Farzaneh Babashahi ESFAHAN UNIVERSITY OF TECHNOLOGY MRI
Libin Babu CUSAT Alzhimers, tensorflow
alexandra badea Duke CIVM mri, imaging, analysis
AmanPreet Badhwar CRIUGM, University of Montreal neuroimaging, genetics
Lea Baecker King's College London machine learning, MRI
JongTak Baek korea university deep learning
Steven Baete NYU School of Medicine Orientation Distribution Function analysis, Diffusion MRI
Asma Baghdadi Enis IRM, segmentation, image processing, Alzheimer diagnosis
nooshin bagheri azad university deep learning
fatemeh bahadoran babol noshirvani university of technology alzheimer fuzzy
fatemeh bahadoran babol noshirvani university of technology alzheimer neural network
weiling bai Inner Mongolia University 123123
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
Utkarsh Bairolia IIT ISM DHANBAD Instance based mapping, Multiple kernel learning
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
Kavitha Bakshi Ryerson Medical Machine Learning
himanshu bal dhole patil college of engineering deep learning, brain networks
Helena Balabin Fraunhofer SCAI Deep Learning, Classification of Alzheimer's patients, Feature Selection
Akshaya Balamurugan NUS Deep Learning
Yacov Balash Kaplan Medical Center MRI, subcortical hyperintensities, Alzheimer’s disease, periventricular leukoara
Priya Balasubramanian Cornell University Iron, dementia, QSM
Nishandhini Balasundar Rajalakshmi Engineering College Alzheimer’s Disease, Magnetic Resonance Imaging, hippocampus
Luis Balderas Ruiz University of Granada Classification, Parkinson, MRI, Machine Learning
Oishila Bandyopadhyay Indian Institute of Information Technology Kalyani curvature, concavity index, chain code, mid-line, MRI, alzheimer
Dipankar Bandyopadhyay Virginia Commonwealth University DTI, tensor regression, spatial methods
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
Sadeq Bani Melhem Concordia University treating the sick brain via electrical stimulation
Asish Banik Michigan State University Bayesian Computation
Sarah Banks UCSD tau; alzheimer's; sex differences
Leonie Banning Maastricht University Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen
Owen Bao SCUT AD,MCI,PET,MRI
beatrice bao cheeroffice education limited company data
xu baohong Hebei University of Technology fMRI AD deep learning
Zhao Baoqi Hangzhou Normal University research, verify paper
Sabeeha Baqui Al-Arqam College Preparatory Alzheimer's, MOCA, MMSE, MRI, application, Lumbar Puncture
Fernando Barajas Universidad de Monterrey ITK , MAPER , SEGMENTATION
nourhan barakat tanta university ALZHEIMER
Rita Barakat University of Southern California Stroke, TBI, brain injury, neurodegeneration, therapy
negin barani babol noshirvani university of technology alzheimer fuzzy
Jed Barash Soldiers' Home Hippocampus, opioids, Alzheimer's
Eduardo Barbará Universidad Autónoma Metropolitana (UAM) image processing data analize
Robert Barber University of North Texas Health Science Center Alzheimer's disease genetics
Philip Barber University of Calgary stroke; TIA; brain atrophy; dementia
Lorenzo Barberis Canonico Clemson University machine learning
Jordan Barbone West Chester University Independent, personal use
Adriano Barbosa da Silva University of Luxembourg AETIONOMY
Flavia Roberta Barbosa de Araujo Federal University of Pernambuco Machine Learning, Alzheimer, GWAS, Tools, SNPs
Chris Barbu Psychology Study materials for class.
Mikayla Barea Michigan State University white matter, MCI, conversion, learning, memory, atrophy, volumetry, DTI
IOANNIS BARGIOTAS ENS CACHAN Control, Alzheimer,PET images
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
Megan Barrell Cardiff University dMRI, pipeline
Olivier Barret IND PVC, centiloid
Matthew Barrett University of Virginia School of Medicine Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau
HECTOR BARRIOS CFE 123
vera barstad University of Agder Deep Learning, 3DCNN,pointcloud
Fabian Bartel VU University Medical Center hippocampus segmentation, harmonized hippocampus segmentation protocol
Jakub Bartoszewicz Adam Mickiewicz University vGWAS, SNP, genome, brain structure, neuroinformatics, genomics
Caroline Barwood University of Nottingham Alzheimer's
Abdullah Baş ERCIYES UNIVERSITY dementia
Suryakanth Basavaraj BMSITM MRI,PET
SHAIK BASHEERA NAGARJUNA UNIVERSITY CNN
Abol Basher Chosun University Alzheimer
Rodrigo Basilio IDOR DNN Machine Learning
Anirban Basu University of Washington, Seattle dementia progression, prediction, distributional statistics
Arindam Basu University of Canterbury Alzheimer's Disease, TBI, Polygenic risk scores
Shubham Basu VIT Chennai Alzheimer's Disease
Vishant Bata Indian Institute of Technology,(BHU), Varanasi-India PET Scans, Early Detection, Machine Learning
Eloi Batalla Fundació Collserola magnetic resonances, alzheimer's disease
malav bateriwala CSIRO Deep Learning, Segementation
Veeky Baths Birla Institute of Technology & Sciences, K. K. Birla Goa Campus Cognitive diseases, Computational Neurosciences
Deepti Bathula Indian Institute of Technology Ropar Longitudinal Analysis Algorithms
Mark Battle GE Healthcare Centiloid, PiB, imaging windows
Matthew Baucum University of Tennessee Knoxville machine learning, disease progression, time series
Roman Bauer Newcastle University computational neuroscience
Christopher Bauer University of Kentucky MRI, DTI, cognitive reserve, Tau, A-Beta, memory
Christian Baumgartner ETH Zurich medical image analysis, machine learning
Amirhossein Bayat Technical University of Munich segmentation, registration
Armin Bayati University of Victoria Cognitive disorder, microscopic, macroscopic, diagnostic, vasculature
Peter Bayley VA Palo Alto Health Care System, CYP191A, hippocampus, apoe4, neuropsychology
Ali Bayram Istanbul University Field map
Ece Bayram Cleveland Clinic amyloid, tau, dementia
Tariq Bdair TUM Deep learning, Semi supervised learning
Derek Beaton Baycrest partial least squares, multivariate, genetics
Christian Beaulieu University of Alberta DTI, ExploreDTI, tract-specific analysis, registration, MATLAB
Helen Beaumont University of Manchester diffusion DOC atlas
Sergio Becerra Neurological Associates of West Los Angeles fMR, Resting, BOLD, Anatomical, ASL, DTI
Lino Becerra Invicro asl, cbf
Josh Becker UT Southwestern Medical Center dementia, alcohol use disorder, substance use disorder
Laurel Beckett UC Davis Biostatistics
Joanne Beer University of Pennsylvania data harmonization, longitudinal
Joanne Beer University of Pittsburgh prediction, statistics
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
Christopher Beitel University of California, San Francisco Machine learning
Lynn Bekris Cleveland Clinic Lerner Research Institute apoe, tomm40
Belal belal UESTC EEG signal
Victoria Belancio Tulane University genetic variation
Mahanand Belathur Suresh Sri Jayachamarajendra College of Engineering AD,MCI
Andrew Bell University of Richmond dementia
Maura Bellio University College London graphic user interface; MRI; disease progression models; neurodegenerative
Muktar Bello University of Ilorin DMRI,tracktohraphy,DTi
Mikhail Belyaev Skolkovo Institute of Science and Technology disease progression, machine learning, data fusion
Mostefa Ben naceur University Paris Est Convolutional neural Networks (CNN), data generation, tumor segmentation, nerati
Achraf Ben-Hamadou Digital Research Center of Sfax Deep learning, Alzheimer statge detection
Lizeth Benavides PUC classification, incomplete data, Alzheimer’s disease.
Camelia BENCHEQROUN Georgetown University Medical Center DICOM images
Andrew Bender Michigan State University diffusion MRI, machine learning, latent factors,
Marwa BenGhoul Anadolu university outlier, Semiparametric model, longitudinal
Thomas Bengtsson UC-Berkeley Amyloid PET
Andreana Benitez Medical University of South Carolina MoCA, Item Response Theory
Colleen Benjamin Syneos Health CCLS, ADNI, LABDATA
Jose María Benlloch Spanish Reseach Council beta-amyloid plaques, brain PET detector, Alzheimer, classification algorithms
Bini Mariyam Benny Rajagiri School Of Engineering And Technology ,Kakkanad adni
Julia Benoit University of Houston Alzheimer's disease, clinical trial methods, prediction
Mariana Bento university of calgary machine learning, image features, dementia
Sabrine Benzarti Somai High Institut of Management of Tunis Alzheimer, deep learning
Tammie Benzinger Washington University MRI
Paola Berchialla University of Torino Biostatistics, Machine Learning
Victoria Berenguer Instituto tecnologico de Buenos aires MRI
Leander Berg Heidelberg University Studies, learning
Maurizio Bergamino Laureate Psychiatric Clinic & Hospital DTI; GQI; structural connectivity; prediction model
Gintvilė Bergerytė Vilnius University Alzheimer machine learning classification
Matthias Berkes York University bilingualism aging executive function
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
PRITI BHAGAT KONERU LAKSHMAIAH EDUCATION FOUNDATION VADDESWARAM. EEG, SVM,aLZHEIMER'S
Nikhil Bhagwat university of toronto MRI, AD, Machine-learning
Keshav Bhandari Texas State University semantic segmentation
Abhishta Bhandari Royal Brisbane and Women's Hospital FDG PET, MRI, cerebrum, corticobasal syndrome
Vinay Bhapkar New York University Computer vision research
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
Ridhanshi Bhatia Amity School of Engineering and Technology AD, Neurology, CNN
Priya Bhatt Oregon Health and Science University gwas, alzheimer's disease, statistics
Chidansh Bhatt FXPAL multi-modal learning; deep learning;
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
Manish S Bhoopalam National Institute of Technology,Surathkal, Karnataka Generative Adversarial Network, CNN, FCN
Alauddin Bhuiyan NYU School of Medicine Machine learning, MRI, Socio-demographic parameters, Alzheimer's
Chandra Bhushan CBK infotech India Private Limited data clustering
Suhas A Bhyratae Atria Institute of Technology AD, cMCI, ncMCI
Xin Bi Northeastern University brain network, machine learning
Hanwen Bi Northeastern University fMRI, Brain Network
Xiaohong Bi University of Texas Health Science Center at Houston computational phenotyping
xuesheng bian Xiamen University Medical Image
xuesheng bian xiamen university medical image analysis
SHIJIA BIAN BIOGEN alzheimer's; statistical analysis
Chun Mei Bian Tongji Medical College,Huazhong University of Science and Technology bile acid;intestinal microorganism;Alzheimer's disease
Rene Bidart Waterloo CNN
Kelsey Biddle Biddle Brigham & Women's Hospital cognitive decline, marital status, amyloid-beta, preclinical AD
jumahuli biekan University of Saskatchewan sMRI, DTI, AD disease, MCL, Graph theory, Brain network
Matthew Bigelow The Ohio State University Alzheimer in early stages, prognosis, MRI
bahare bigham Mashhad University of Medical Sciences (MUMS) alzheimer's disease
Ricardo Bigolin Lanfredi University of Utah Visual dataset explanation, regression, adversarial training
Murat Bilgel National Institute on Aging FDG, amyloid, DTI, MRI, atrophy, longitudinal
Thibo Billiet KU Leuven default mode network
Julia Billington Hidden Wings Nonprofit, Santa Barbara Cottage Hospital pesticides, glyphosate, alzheimer's disease
Reem Bin Hezam Dublin City University dementia, modifiable risk factors
Malavika Bindhi Stanford University Classification of Alzheimer’s Disease using Patients’ MRI and Related Features
Yuan binke Beijing Normal university machine-learning, gray matter atrophy, functional connectome
Christopher Bird Cleveland Clinic freesurfer, machine learning
Colin Birkenbihl Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI AETIONOMY, statistical comparism, modeling, validation
Joshua Bis University of Washington Alzheimer's disease, sequencing, ADSP
Gérard Bischof University Hopsital Cologne Alzheimer's disease, resting state, fMRI
Ram Bishnoi Medical College of Georgia dementia, latent variables, neuroimaging
David Bissig OHSU retina, ocular
Ashis Kumer Biswas University of Colorado Denver Machine learning; deep learning; hybrid convolution neural network; image marker
Dipayan Biswas Khulna University of Engineering & Technology Alzheimer disease, early detection, features
Shameek Biswas Celgene genetics, progression, biomarkers, imaging
David Bjelke The Feinstein Institute for Medical Research CMRglu, ROI
Sandra Black Sunnybrook Research Institute MRI Volumetry, Alzheimer disease progression
Vic Black Beijing University of Chemical Technology deeplearning, AD
Jennifer Blackwood University of Michigan-Flint MCI, neurological exam, vital signs
Elise Blaese IBM Research NIA GCAD Watson
Brian Blair University of Florida MATLAB,PET Scan
James Blair University of Virginia Cognitive Impairment, Structure, T1
Gilles Blanchard University of Potsdam Data analysis, Statistics, Machine learning, patient adaptive prediction
Sergio Blanco Trejo University of Seville Algebraic topology
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
dheeraj bobbili Megeno S.A WGS, array, hashing, PRS, stratification
koum bochra university classification, Markov
Jason Bock Medical Care Corporation MCI, AD, longitudinal, prediction, bayesian modeling
Raviteja Bodla Springboard Deep learning
Michael Boedigheimer Amgen NFL
Katharina Boegl Humboldt-Universität zu Berlin Hippocampus
Susan Boehnke Queen's University CSF biomarkers, lumbar puncture
Ronald Boellaard University Medical Center Groningen Image methodology, quantification, processing, classification
Eric Boerwinkle University of Texas Health Science Center at Houston whole genome sequence
Arun Bokde Trinity College Dublin MRI, grey matter, volumetric, hippocampus
Sideny Bolden Bethune Cookman University AD, MRI, SVM, Machine learning, diagnosis, neuroimaging biomarkers,
Andrea Bolivar Matos Massachusetts Institute of Technology (SSO) predictive, onset, alzheimers disease
Sai Krishna Bollam University of Illinois at Urbana-Champaign multimodal, deep learning
Ranvit Bommineni University of Illinois, Urbana Champaign GAN MRI PET image translation
Borna Bonakdarpour Northwestern University Resting state fMRI, language network
sriharsha bondalapati international institute of information technology brain MRI data
sriharsha bondalapati international institute of information technology Alzhimers disease prediction
Luke Bonham Johns Hopkins University normal pressure hydrocephalus, Alzheimer's disease, mild cognitive impairment
Andrea Bonilla UC Berkeley research project
Gregory Book Hartford Hospital weather, brain volume, freesurfer
Brian Booth University of Antwerp MRI atlases, image registration, metric learning
Dragos Bordescu Polytechnic University of Bucharest ALZHEIMER PREDICTIVE DETECTION
Jens Borgbjerg Aarhus University Hospital MRI, dementia, rating scales
Jennifer Borkowsky Genentech biomarkers
arman boroun mums fmri
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
Chinmoy Bose TwoPiRadian Infotech LLC Alzheimer, deep learning, classification, pre-processing
budhaditya bose INDIANA UNIVERSITY PARKINSON'S DISEASE,CLUSTERING
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
Rachid Bouamrane Université des Sciences et de la Technologie d'Oran large complex systems, feature extraction, very large networks
Agustina Bouchet Universidad Nacional de Mar del Plata, Argentina Biomedical Images, Segmentation, Digital Image Processing
Reguieg Bouchra istanbul technical university brain network
amani boughanmi Higher Institute of Applied Sciences and Technology of Sousse AMANIISSATSO2017
haralabos bougias university hospital dti
Pierrick Bourgeat CSIRO ICT Centre Segmentation, registration, longitudinal study
Jessica Bourgin Université Savoie Mont Blanc Amygdala; Attentional network
Jessica Bourgin Université Savoie Mont Blanc emotion; attention; amygdala
Khaled Bousabarah Universityt Hospital Cologne deep learning, atlas based segmentation
Jose Bouza University of Florida Artificial Intelligence Neural Network
Christina Boyle USC/IGC Alzheimers, Aging, MRI
Cem Bozkus UTD ML, Alzheimers, diagnosis, prevention, early diagnosis
Andrea Bozoki Michigan State University FDG-PET; PIB-PET; Alzheimer's disease
Steven Bradburn Manchester Metropolitan University Inflammation, VBM, Cognitive decline, NSAID
Jelena Bradic UCSD lasso, testing, confidence intervals, p-values
Jonathan Bradley Florida State University Spatial statistics
Tyler Bradshaw University of Wisconsin attenuation correction
Larissa Braga West Virginia University Safety, adherence
Joana Braga Pereira Karolinska Institute CSF, MRI
Abdelbasset BRAHIM IMT atlantique Alzhzeimer's disease, machine learning, image processing
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
Ross Briden Brown University MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis
Joshua Bridge University of Liverpool AI, Deep learning
Robert Bridges Aegis Imaging Consultants Hypometabolism
alison brie DLUT China medical image registration
Danielle Briggs Brigham and Women's Hospital ADNI 3, LONI, coordinator
Cornelius AJ Broere AIAS Meylin Architecture, sMRI, Neurocognition, Neurology
Caroline Broichhagen Institute of Medical Biometry and Statistics Deep Learning, Neuroimaging, Classification, Cognitive Science, Machine Learning
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
Robert Brown McGill University Brain extraction; Deep learning
Matthew Brown University of Alberta machine learning, diagnosis, prognosis, biomarkers
Iva Brunec University of Toronto Hippocampus, Memory decline, fMRI
Natalie Brunette Massachusetts General Hospital Alzheimer's, biomarkers, early diagnosis
Irene Brusini KTH Royal Institute of Technology Structural MRI, segmentation, deep learning, shape analysis
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
Virginia Buckles Washington University in St. Louis DIAN ADNI
Rachel Buckley Massachusetts General Hospital/Harvard Medical School subjective cognitive decline, amyloid, neurodenegeration, sensitivity
Gabriel Bucur Radboud University Nijmegen causal inference, Mendelian randomization, Robust estimation, Bayesian inference
Charley Budgeon University Of Western Australia Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing,
Pranav Budhwant PICT Glucose PET Scans, Alzheimer's detection, Deep Convolutional Networks, AI, ML
Ana Bueno Universidade Federal do ABC machine learning, convolutional neural networks
Derek Buhl Pfizer Alzheimer's
Sarah Buila Southern Illinois University Clinical Assessment
faiza Bukenya University of Nottingham Segmentation,blood vessel,medical images
Sayed Ali Raza Shah Bukhari Jamil ur Rahman Ceter for Genome Research Mitochondrial Genomes, Alzheimers
Nikola Bulatovic University of Montenegro deep neural networks, convolutional neural networks, classification
Ömer Faruk Bulut Sakarya Unıversıty Research
Ninon Burgos University College London PET synthesis
Haroon Burhanullah Johns Hopkins University Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging
Katherine Burn University of Melbourne cognition; inflammation; amyloid
Samantha Burnham CSIRO Alzheimer's; genetics, Validation, Longitudinal
Hendrik Burwinkel Technical University Munich Graph-based deep learning, machine learning
Tomasz Burzykowski Center for Statistics biomarker, Alzheimer's disease, biostatistcs
William Bush Case Western Reserve University Loss of Y, Copy Number
Stephanie Buss Beth Israel Deaconess Medical Center cognitive reserve, exercise, education, music, social
P. Monroe Butler University of California San Francisco Hippocampus, history of opiate exposure, ApoE
Markus Butz-Ostendorf Biomax Informatics Big Data, semantic data integration, multimodal brain imaging, AD
Punith BV Siemens Healthineers India brain segmentation
Seul Kee Byeon Mayo Clinic machine learning analysis
DeAnnah Byrd Wayne State University Cognitive reserve
Adith C Amrita ADBI
Tabish C Mcgill DTI, Fiber Tracts
BLESSY C SIMON RAJAGIRI SCHOOL OF ENGINEERING AND TECHNOLOGY ALZHEIRMER'S, DEEP LEARNING
Ryan Cabeen USC LONI tools
Rodrigo Cabello Univerisity Deep Learning
Monia Cabinio IRCCS Fondazione Don Carlo Gnocchi, Centro Santa Maria Nascente AD, HC, structural MRI, functional MRI
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
Chunting Cai Xiamen Univeersity cct724724
Shuxiu Cai Shenzhen University deep learning
Xiaoqing Cai Cornell University Alzheimer, prediction, machine learning
erik cai wenzhou university multimodal neuroimaging
xiong cai Beijing University of Technology functional varying-coefficient model, local kernel smoothing method
Fanco Cai College of Computer Science and Technology, longitudinal datasets, learning manifold trajectories
Zhengting Cai HYHY jety2858
Ismael Calandri FUNDACION PARA LA LUCHA CONTRA LAS ENFERMEDADES NEUROLOGICAS DE LA INFANCIA (FLE Subtle Cognitive Impairment Biomarkers Predictors
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
Noelia Calvo Universidad Nacional de Córdoba cognitive reserve bilingualism aging
Monica Camacho UCSF alzheimer's
Javier Camacho EIA University jav42cam70
David Campbell University of Auckland epidemiological student project
Anna Canal Garcia Kungliga Tekniska Högskolan MRI, biomarkers, alzheimer
Samuele Cancellieri University of Verona Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS
Sema Candemir The Ohio State University Wexner Medical Center computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P
Christian Candler Belmont University imaging, genetics, confirmation
Zeynep Cantemir Gazi University Alzheimer diagnosis, deep learning, image classification
Yan Cao University of Texas at Dallas image analysis
HONGLIU CAO INSA ROUEN Random Forest, dissimilarity, heterogeneity
Jiguo Cao Simon Fraser University brain network, QTL mapping
Paul Cao HPE Deep 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
Guanqun Cao Auburn University functional data, ADNI
Lei Cao USC NIIN 570
Sha Cao Indiana University Bioinformatics
Bo Cao University of Texas Health Science Center at Houston Machine learning
DANIEL CAPON BLOOD SYSTEMS RESEARCH INSTITUTE protein engineering, antibodies, amyloid beta, biomarker
Michael Carbenia Zspace education
Jeremy Carmasin Massachusetts General Hospital PIB FDG AD MCI
Owen Carmichael UC Davis cortical thickness
Diedre Carmo Faculty of Electrical and Computer Engineering - UNICAMP Deep Learning, Hippocampus Segmentation
Gustavo Carneiro University of Adelaide automatic discovery of biomarkers, deep learning, machine learning
Caio Carneloz UNESP Alzheimer, Machine Learning, Feature Extraction
Miguel Adolfo Caro Parrado Universidad Nacional de Colombia brain aging patterns
Sarah Carr Case Western Reserve University amyloid, POSET
Jason Carrier carrier diagnostics AI learning
Carmen Carrion Yale Medicine Cognitive Reserve, Racial/Ethnic Diversity in Cognitive Aging
Lucia Carrion Gordon UTS University of Technology Sydney Data, Heritage, Management
Greg Carter The Jackson Laboratory epistasis, pleiotropy, genetic association
Janessa Carvalho Brown University Friday Harbor
Vítor Carvalho IF SUDESTE MG MRI Image, Machine-learning, Alzheimer's Disease
Francesco Paolo Casale Microsoft GWAS, images, statistical testing, multi-trait
Kaitlin Casaletto UCSF neurogranin; exercise; cognitive activity
Adrià Casamitjana Universitat Politència de Catalunya PhD, machine learning, bioengineering, early stage of AD
Ramon Casanova Wake Forest University School of Medicine Machine Learning, Regularization
David Casas UPM SUVR measureament
Silvia Cascianelli University of Perugia Deep Learning, PET, Alzheimer's Disease multiclass diagnosis
David Cash University College London familial Alzheimer's disease, volumetric MRI, cerebral atrophy
Julian Caspers University Hospital Düsseldorf resting-state fMRI, machine-learning, classification
Isabella Castiglioni National Reserach Council AD, MCI, image classification, diagnosis, MRI, PET
Mariana Castro Universidade do Minho Alzheimer's disease, MRI, Feature Extraction, Machine Learning
Mac Gayver Castro University Center Christus Alzheimer disease, imaging, algorithms
JUAN ANTONIO CASTRO SILVA UNIVERSIDAD DE SALAMANCA medical image analysis, alzheimer's disease
Iván Catalinas Universidad Politécnica de Madrid Alzheimer
Kim Cates Seton Hall University Alzheimer's, neural networks, MRI, machine learning
Liam Cattell Oxford University Registration
Franco Cauda University of Turin damage network, Bayesian statistic, Alzheimer’s Disease
Michelle Caunca University of Miami Miller School of Medicine Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Michele Cavallari Brigham and Women's Hospital, Harvard Medical School amyloid, perivascular spaces, glymphatic
Enrica Cavedo Qynapse hippocampus
Tim Cedervall KTH Bachelor thesis svm
Nira Cedres Karolinska Institutet Alzheimers Disease
Marina Célestine MIRCen - CEA Lesion and cognitive analysis, multimodal study
alper celik indoc research ML, ANN
Jade Centeno Amandio PUCRS research
Diego CERPELLONI Udacity Udacity Machine Learning
Ricardo Cerri Federal University of Sao Carlos machine learning, SNPs, Alzheimer Disease
Marcela Cespedes Queensland University of Technology brain deterioration trajectory, bayesian analysis
Sadi Cetinkaya Türk Telekom Deep Learning
Alper Çevik Middle East Technical University Computer-Aided Diagnosis, Spectral Regression, Infinite Kernel Learning
Yoonjeong Cha Immuneering target identification, pathology, survival analysis, pathway analysis
Jiook Cha Columbia University deep learning, artificial intelligence,
Jungho Cha University of California San Francisco tau, pib
Satish Chada Pulmonary Services of North Texas Machine Learning, Artificial Intelligence, MCI, AD, COPD
Tanvi Chadaga RVCE brain tumour
Yaqiong Chai CHLA deep learning reconstruction
Wai Ho Chak CUHK Teichmuller metric, 3D shape analysis
Shreya Chakrabarti Indiana University School of Medicine imaging, genetics, biomarkers
Daniel Chalupa Brno University of Technology Pharmacokinetic Modeling, Multiple Classifier Systems
David Chamorro Neurognos Alzheimer, Diagnosis
Harshil Champaneria Arizona State University Research Project on Deep Learning
Daniel Chan University of Oxford N/A
Kannie WY Chan City University of Hong Kong; The Johns Hopkins University School of Medicine MRI, AD, deep learning
Dennis Chan Dougherty Valley High School Machine Learning, Alzheimer
Christina Chan Michigan State Univ. NCI-DREAM 8.5
Alan Chan University of Alberta multivariate statistical analysis
sic chan FDA PET, MRI, CSF biomarkers
Prakash Chandra Banaras Hindu University Clinical Research dataset
Anjali Chandra NIT RAIPUR DETECTION
Paramanand Chandramouli University of Siegen image enhancement, denoising, super-resolution
Yu-Chuan Chang National Taiwan University Alzheimer, Data Mining
Catie Chang National Institutes of Health resting-state fMRI, spontaneous activity, dynamics
Minyu Chang Cornell University Fuzzy-trace theory; factor analysis
Yu-Ming Chang Beth Israel Deaconess Medical Center/Harvard Medical School Alzheimer's, temporal horn, ventricle
Changgee Chang University of Pennsylvania integrative analysis, multi-task learning
Jose Chang National Cheng Kung University Deep learning, CNN
Wan Jou CHANG British Columbia Institute of Technology Machine learning, kNN, classification, features engineering
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
Rui Chang University of Arizona Computational biology
Hyunggi Chang University of Warwick magnetic resonance imaging, artifacts
wu changfeng Anhui University China for study
Linda Chao UCSF PIB, MCI, cognition
li chaofeng sun-yatsen university MR CT deep learning
Arnaud Charil Eli Lilly and Company MRI, PET, AD, MCI, volumetric MRI, Cortical Thickness, Hippocampus, amyloid
Cui Charles Tsinghua University AI, deep learning
Danai Chasioti IUPUI polygenic, alzheimer's
Ankita Chatterjee UC Berkeley gyrification index
Riya Chatterjee Monta Vista High School Gyrification Index
Pratishtha Chatterjee Macquarie University plasma ferritin, serum ferritin, iron, brain amylid load
subhankar chattoraj Techno India University, West Bengal SSDA, shallow learning, deep learning, hybrid model
Ann Chau HKU ASL and amyloid
Om Chaudhari UNLV Alzheimer's disease, deep learning, deep polynomial networks
Gaurav Chaudhary M.S Ramaiah Institue Of Technology alzeimer's , neural networks
Zainab Chaudhry FAST-NU AD
Laurent Chauvin Ecole de Technologie Superieure Local Features, Subject Identification
Kevin Chavez Stanford University Alzheimers, classification, machine learning
Diana Chavez University Spanish-English Bilinguals, Alzheimer DIsease
Yusuke Chayama Hosei University Deep Learning, Brain MRI
Yanqiu Che Penn State College of Medicine MRI; Alzheimer's Disease; Machine Learning
Jacqueline Chea Harvard College genetics, cognitive impairment
Gal Chechik Bar-Ilan University Deep learning
Lovena Chedumbarum Pillay University of Oxford MCI, AD, Predictive Analytics, Amyloid
Lovena Chedumbarum Pillay University of Oxford Machine Learning, Alzheimer's Disease, MRI, PET
Evelyn Chee Hanalytics image registration
Eduard Artur Chelebian Kocharyan Universitat Politècnica de València, UPV Machine, Deep Learning
Karthikeyani Chellappa University of Pennsylvania Human and Mouse biomarker
Sophie Chen Beijing University of Technology fMRI classification
Hsu-Hsin Chen Genentech Alzheimer's Disease
Yong Chen University of Pennsylvania neurological diseases, MRI, PET, multi-source data analysis, biomarker
Tao Chen Wuhan University Alzheimer’s Disease, visual features, MRI
Jingyun Chen NYU School of Medicine PET, Tau, Abeta, normalization
Rong Chen Icahn School of Medicine at Mount Sinai protective allele, Alzheimer's disease
Liang Chen University of Macau miRNA, biomarker
xiangxin chen XMU SVM,PSO,Classification,Optimization
Jian Chen ShangHai JiaoTong University symptoms, medicine
Keping Chen Southeast University biomarkers, criculating,Alzheimer’s disease
jiayu Chen ETHz visual feature attribution; MRI, AD
Yicheng Chen UCSF Deep Learning
kuan-ting CHEN National Taiwan University ADNI
feiyan chen zju MR fMRI AI
Chi-Hua Chen University of california san diego Age, gender, disease status, APOE status
Linlin Chen Xidian University academic research on medical images
Gang Chen Medical College of Wisconsin fMRI, MRI
Eric Chen UCAS computerscienceandmedical
Sherry Chen The University of Sydney Frontotemporal dementia, longitudinal, neural correlates, cognition
Timothy Chen University of Chicago model, predict, Alzheimer's disease
Andrew Chen University of Pennsylvania penalized, CCA, CIA, integrative analysis
Yizhou Chen Zhejiang University of Technology CycleGAN,synthesis
Anthony Chen McGill University; Douglas Mental Health University Institute Machine Learning, Data Driven, Clinical Prediction
jing chen pennsylvannia state university arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Yin Jie Chen University of Pennsylvania Perelman School of Medicine Alzheimer's disease, multimodality, longitudinal
Chunling Chen Harbin Engineering University Alzheimor
Fang Chen jackson state university image deep learning Alzheimer's
Jiali Chen Zhejiang University of Technology Hippocampus detection
Tingting Chen Zhejiang University Co-Attention, Multi-modal Fusion, AD diagnosis
Jiu Chen Nanjing Medical University AD, aMCI, DTI, sMRI, fMRI
Jinxin Chen Chengdu University of TCM alzheimer,sleep disorders,fMRI
Jing Chen Shandong University of Science and Technology deep Gaussian process ,classification
Yuhua Chen Cedars-Sinai Medical Center deep learning, super-resolution, image enhancement, MRI
Ming-Hui Chen University of Connecticut Uncertain endpoints; Measurement error; Validation subsample; Survival analysis
Kevin Chen Stanford University multimodal imaging, image post-processing, spatial resolution
Jiashi Chen xidian university image processing
Haifeng Chen Affiliated Drum Tower Hospital, Nanjing University Medical School memorry function; rTMS; multimodal neuroimaging
Shihui Chen The University of Hong Kong connectivity analysis
Kerwin Chen Acer MRI, MMSE
Jason Chen University of California, Los Angeles Network analysis, TBM, personalized medicine
Ying-Hsiang Chen Bioinfotronics Research Center Intelligent, cloud computing, infrastructure
Yating Chen Wenzhou Medical University segmentation
bin chen University of Houston deep learning,predict
Zhie Chen Chinese PLA General Hospital AD; brain; voxel-based morphometry; brain structure
Rong Chen University of Maryland School of Medicine machine learning
Irene Chen MIT machine learning, subtypes, disease progression
Buxian Chen Sun Yat-sen University study a paper, ADNI
Ing-jou Chen Chang Gung University AV-45, PET, AD, PCA, SVM
Xu Chen University of North Carolina MRI segmentation
Ming Ting Chen National Cheng Kung University Alzheimer's disease
Hannah Chen Massachusetts General Hospital Alzheimer's disease, machine learning, deep learning, big data
Tzu-Chieh Chen UC Berkeley MRI, machine learning
Chen Chen Arizona State University graph mining
Shuai Chen Erasmus Medical Centre TADPOLE, Alzheimer's Disease Prediction
Peizhi Chen Xiamen University of Technology image registration
Jerome Chen Chang Gung University Deep Learning, Alzheimer’s Disease, MRI, FMRI
Yuanyuan Chen NorthWestern Polytechnical University Chen191520
Qibai Chen University of Science and Technology, Beijing pattern recognition, classifier
Ting-Huei Chen Laval University structural equation modeling
Xin Chen University of Nottingham Longitudinal image feature extraction; disease diagnosis.
Bo Chen Fudan University Graph theory, mental illness
yan chen DLU ADNI
jing chen Pennsylvannia State University arousal level, fMRI, longitudinal, multimodality, Alzheimer's disease
Chunling Chen Harbin Engineering University Alzheimer's disease
Wei-Jie Chen zhejiang university of technology multi-task learning; feature selection; support vector machine; data anaylsis
Gennan Chen Synarc Segmentation
Hirotoshi Chen Zhejiang University protein protein interaction, network integration
Frank Chen Nanjing University Alzheimer's disease MRI gene environment
Johann Chen Accura Science network analysis, AD, GWAS
Beichen Chen Royal Institute of Technology machine learning
Shirui Chen University of Wisconsin, Madison geodesic shooting, image registration
Yuqiao Chen University of Texas at Dallas relational continuous model
Liu Chen Oregon Health & Science University Neural Networks
Quan Chen Shanghai Jiaotong University quantitative t1w t2w
MINGXUAN CHEN Infinity Lab Alzheimer Disease; Text mining
Chen Xiaoshun Chen Xiaoshun Jiangsu University SICE、ADNI
xiaoqin Cheng Zhongshan hopsital, Fudan University AD,high heterogeneity, rapid progression
Wai Ho CHENG The Hong Kong Polytechnic University AD and mild cognitive impairment
Xu Cheng East China Normal University Medical image registration
Hewei Cheng School of Informatics AD, MCI, fMRI, DTI, MRI
Jing Cheng southwest University in China brain network, dti
Pujin Cheng SUSTech research with Machine Learning
MengChe Cheng Acer Inc. Deep learning
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
Yang Cheng University of Shanghai for Science and Technology DTI
Jing Cheng southwest University in China brain network, fMRI, AD
CHAO-WEI CHENG National Taiwan University of Science and Technology Generative Adversarial Networks, Deep learning, disease diagnosis
CongCong CHENG Zheng Zhou University watermarking
Tanya Chenhall Cogstate Cogstate
Du Chenping Sun Yat-sen University data
Liu Chenyang HongKong University AD;inverse covariance;
Chen ChenYuewei Shanghai Maritime University rest-fMRI,depression
Bo Cheon Samsung Medical Center Tau and amyloid image
Bo Cheon Samsung Medical Center Tau
Petr Cheremencov SpbSpu mri, ct, medical imaging
William Chern California Polytechnic State University, San Luis Obispo AD diagnose
Venkateswararao Cherukuri PENNSTATE UNIVERSITY Super resolution
Anthony Chesebro Columbia University Network Model, Alzheimer's
Yuen Chung Cheung Hong Kong Polytechnic University Molecular Imagin
Eva Cheung University of HK MRI PET AD MCI
Aparna Chhibber Merck Research Labs biomarker genetic
haoyuan chi sjtu deep learning, feature representation
Lumay Chiang Novartis PET, SUVr, longitudinal
Gloria Chiang UCSF DTI
Agostino Chiaravalloti University Tor Vergata Alzheimer; functional imaging; PET
Yuhei Chiba Yokohama City University Immunoogy autoantibody MRI
Patrizia Chiesa ICM rs-fMRI, Alzheimer's Disease, Motivoxel Pattern Analysis, Limbic system
Andreina Chietera Thales Research; DeepLearning, Alzhaimer, Dementia
Makoto Chikaraishi Hiroshima University Transportation
Geetha Soujanya Chilla A*STAR Segmentation
gaetana chillemi irccs attention, makers
Cherise Chin Fatt University of Texas at Dallas dissertation, fcMRI, cortical thicknes
Andrea Chincarini INFN longitudinal studies, MCI, network, atrophy measurements
Vernon Chinchilli Penn State College of Medicine GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS,
eric ching shenzhen university deep learning, AD classification
Christopher Ching UCLA Urgent request for access
Monica Chiogna Università di Padova ROC surface analysis, verification bias, non ignorable missingness
Konstantinos Chiotis Karolinska Institutet AD, MCI, PIB, FDG, AV-45
Bernard Chiu City University of Hong Kong MRI-based cognitive biomarker
sang soo cho University of Toronto PET
HANNA CHO GANGNAM SEVERANCE HOSPITAL biomarker, imaging, alzheimer's disease
Donghoon Cho Kyungpook National University Deep Learning, Diagnostic , Korea
SangYeon Cho Medical school, Chungnam national university DEMENTIA
Soo Hyun Cho Sam Sung Medical Center Amyloid PET
HyungJin Cho University of Southern California Alzheimer's Disease Neuroimaging Initiative (ADNI)
Jung Cho CAIDE SYSTEMS, INC. deformable medical image registration
Young Min Choe Dongtan Sacred Heart Hospital Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression
David Choi ITBA ICA, Alzeimer,
Kyu Sung Choi Korea Advanced Institute of Science and Technology (KAIST) follow-up
James Choi Sabio Research Alzheimer Machine Learning Neural Networks
Euna Choi Seoul National University DTI TBSS Early detect of Alzheimer's disease.
Kihoon Choi Hanyang university Imaging genomics, GWAS
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
JiHye Choi Keimyung University bio
Hongyoon Choi Cheonansi Public Health Center Metabolic network, FDG, Amyloid
Yong-Ho Choi hanyang university Imaging genetics
juyeon choi kbri protein fragile X
Wooyeol Choi KAIST, Republic of KOREA MCI, Graph theory
Seoung-Ho Choi Korea University Deep Learning , Diagnosis
Anthipa Chokesuwattanaskul King Chulalongkorn Memorial Hospital Alzheimer's disease, mild cognitive impairment
Vishal Chopra JCVC Inc. Artificial Intelligence, MRI Scans, Alzheimer's
Ilya Chorny Vivid Genomics Polygenic Risk Score
Jill Chotiyanonta AnatomyWorks, LLC Brain MRI, Neuroanatomy, Segmentation
Elizabeth Chou National Chengchi University, Taiwan machine learning, dimension reduction, similarity measure, classification
Chun-An Chou Northeastern University Network, MVPA
Edward Chou Stanford University Alzheimers, MRI, 3D CNN
PO-HAN CHOU Harvard T.H. Chan School of Public Health cortical thickness, brain asymmetry
Ramesh Choudhary vimeet ADNI
Ankur Choudhary ASET, Amity University Uttar Pradesh Alzheimer
Tabina Choudhury Texas A&M University Alzheimer’s disease, brain, biomarkers, cognition, dementia, item response theor
Francois Chouinard-Decorte McGill University brain structure, genetics
Vincent Chouraki Institut Pasteur de Lille GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker
Heiman Chow HKUST Glucose, AD, Risk
Samadrita Chowdhury University of Massachusetts,Lowell Graphs, CNN, PET, FMRI
TAPAN CHOWDHURY Techno India disease
Lucille Chrétien ENS de Lyon diabetes
Amanda Christini Blackfynn, Inc Algorithms, data integration, multimodal data biomarkers
Charalambos Chrysostomou The Cyprus Institute Machine Learning, Deep Learning
Yancy Chu Nanjing Tech University qwer1234
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
Jerold Chun Sanford Burnham Prebys Medical Discovery Institute Alzheimer, Downs, Multiple Sclerosis, Frontotemporal, Parkinson, ALS
se-yeon chung chosun university Alzheimer
Yu-Min Chung College of William and Mary computational topology, topological data analysis
Jaeyoon Chung Boston University School of Medicine GWAS CSVD stroke ICH
Ai Chung King's College London genetics graph network
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
Emilio Cipriano IRCCS Fondazione Stella Maris Camiceriamary
Daniele Ettore Ciriello Orobix deep learning, nnets, wgan, disease map
Tod Clapp Colorado State University UCHealth IRB
David Clark Indiana University Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency
David Clayton Genentech image processing, Alzheimer's disease, MRI
Mark Clement Brigham Young University DREAM Challenge
Alba Clemente Univarsity of Zaragoza bioinformatics, computer vision
Oliver Cliff University of Sydney Information theory, information dynamics, alzheimer's disease
Martin Cloutier Analysis Group Agitation, Alzheimer's, Economic burden
David Clunie PixelMed Publishing and RadPharm, Inc DICOM compression
Daniel Clymer Carnegie Mellon University Deep Learning, Medical Imaging, MRI
Bernard Cobbinah University of Electronics Science and Technology of China Convolutional Neural Networks
Yann Cobigo Unversity of California San Francisco Dementia, Normal Aging
Leandro Coelho Pontifical Catholic University of Parana machine learning, fMRI, deep learning.
Brett Cohen King's College London MCI, MRI, phantom
Joseph Paul Cohen University of Montreal Generative modeling, computer vision
elisa colato Institution Karolinska Institutet AV1451 tau PET, MRI, PET, CSF biomarkers
Michael Cole Rutgers University-Newark cognitive control, resting state
James Cole Imperial College London Aging, Machine learning, T1, DTI
Joseph Cole Portland State University Neurodegenerative diseases,Alzheimer's,Biomarkers,Disease progression score
Daniel Coll Open University of Catalonia Alzheimer disease, Magnetic resonance imaging, Convolutional neural network
Diego Collazos-Huertas Universidad Nacional de Colombia sede Manizales Deep Learning, Convolutional Neural Networks, Data Representation
Jeanette Collette Commack High School CNN, Alzheimer's Disease, machine learning, MRI
Patrick Colletti USC Dementia; FDG PET; MRI volumetry
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
Kimberly Collins Indiana University School of Medicine biomarkers, predementia, neurodegenerative diseases
Ragnor Comerford University of Edinburgh deep learning; machine learning; Alzheimers Disease; Mild Cognitive Impairment
Robert Comley Abbvie inc PET, MRI
Shan Cong Purdue University hippocampus, AD, MCI
Andrew Conklin Origent Data Sciences Machine Learning, Classification and Regression Modeling
Adam Connolly Invicro machine learning disease progression prediction
Joanne Conover University of Connecticut Aging, Alzheimer's disease, MRI, FLAIR-MRI
Ivona Contardo-Berning Stellenbosch University Multi-label classification
Devanie Coombs Belmont University Honors Thesis
Shanna Cooper VA San Diego / UC San Diego NPI, family history
Pascal Coorevits The European Institute for Innovation through Health Data (i~HD) data quality assessment tools
Giovanni Coppola UCLA genetic genomic biomarkers
fabian Corlier University of Southern California systemic inflammation, covariance structure analysis, brain structural integrity
Daniele Corradini University of Bologna CNN, Python, Neuroimaging
Rodolfo Correia University of Sao Paulo late life depression, mild cognitive impairment
Nicole Corso Stanford University default mode networks, networks, imaging
Joshua Cosman Pfizer Alzheimer's, Biomarker
Gabriele Costante University of Perugia RNN AD PET
Sebastian Costantino Instituto Radiologico Alzheimer learning teaching
Victor Costumero Universitat de València mild cognitive impairment; fractal dimension; gyrification index
Olivier Coubard CNS-Fed Neuropsychology, Aging, Eye movements, Vision
David Coughlin University of Pennsylvania AV1451, Dementia with Lewy Bodies, Alzheimer's Disease
Pierrick Coupé LaBRI UMR 5800 hippocampus
Li Courins China Segmentation and Registration
Elizabeth Couser University of Maryland, Baltimore imaging, Alzheimer's
Baptiste Couvy-Duchesne Institute of Molecular Bioscience Advanced brain aging, prediction, structural MRI
Jiayi Cox Boston University forcasting, machine learning
Mackenize Cox UNCW mri, alzheimers, 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
Breanna Crane Vanderbilt University Atrophy, Connectivity, MCI
Paul Crane University of Washington genetics, example data set for learning, Friday Harbor
Karen Crawford UCLA Laboratory of Neuro Imaging None
Byron Creese King's College London polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations
alessandro cremaschini Sapienza university of rome drug effetcs longitudinal panel data
Ivor Cribben University of Alberta Networks; Longitudinal networks; Resting state
Alessandro Crimi University of Zurich radiogenomics
Iain Croall University of Sheffield Teaching volumetry
Etienne Croteau CRCHUS Sherbrooke University PIB, concussion, MRI
Mark Crowley University of Waterloo deep learning, anomaly detection
Carlos Cruchaga Washington University School of Medicine CSF, plasma, RBM, GWAS, whole-genome
Luis Cruz University of Coimbra Alzheimer
Carlos Cruz Arizona State University Biomarker
Math Cuajungco California State University Fullerton Neuroscience
ice cubepill null cv
Pedro Cuenca Universidad Rey Juan Carlos alzheimer, nlp, speech analysis, deep learning, transfer learning, cross-domain
Chendi Cui University of Pittsburgh amyloid, tau, ApoE4
JIANAN CUI Massachusetts General Hospital medical image processing
Jing Cui C4X discovery sequencing
Qian Cui Harbin Engineering University Alzheimer's disease
Jing Cui Centre hospitalier universitaire vaudois The Human Brain Project
Dong Cui Chinese Academy of Medical Sciences & Peking Union Medical College Brain Network Hippocampus
Jiarong Cui Renmin University of China variable screening procedure
Nicholas Cullen University of Pennsylvania NFL, CSF
Miroslava Cuperlovic-Culf National Research Council, Canada machine learning; feature selection; genome scale model;
Manuel Curado University of Alicante Alzheimer analysis
Sean Curtin IAM Alzheimers vs. Healthy Brain Research
Paul Cxa DIT study
Max Cynader University of British Columbia Alzheimer's Disease, machine learning, cognitive impairment risk
Marykutty Cyriac Jerusalem College of Engineering AD , hippocampus
Lucette Cysique The University of New South Wales PET network analyses
Arlene D'costa None Prediction,Accuracy,Deep Learning,Optimization
Leandro da Silva Sauer Universidade Federal da Paraíba cerebrovascular disease; cardiovascular disease; MCI; Alzheimer
Michael Dada Federal University of Technology, Minna, Nigeria Machine learning, MRI, ANN
Amirhossein dadashzadeh faculity of computer science deep learning , convolutional neural network,medical image analysis
Jeffrey Dage Eli Lilly and Company Biomarkers
Dale Dagenbach Wake Forest University functional connectivity, hubs, AD
Joseph Dagher The MITRE Corporation T1w, MRI, identification, biometrics
Said Dahbour Jordan University Hospital/ University of Jordan Brain volume change, Alzheimer disease
Xiongtao Dai Iowa State University Functional data, longitudinal data, manifold data
Olivia Dai Harvard University Alzheimer
baiyun dai china AD,risk factors
Weiying Dai Binghamton University ASL and fMRI resting state and fMRI task
Yinglong Dai Central South University human body simulator; input-output system;
Ning Dai University of Minnesota regional homogeneity; fMRI data analysis; longitudinal
Mengyu Dai Florida State University classification
Shuang DAI The University of Manchester Classification, AD
Heng Dai Shenzhen Institutes of Advanced Technology methylation, illumina microarray, AD pathway
Raka Dalal Biosight Diagnostics, Machine Leaning, Deep Learning
Josue Luiz Dalboni da Rocha Univeristy of Geneva DTI, freesurfer, parahippocampal gyrus, AD, MCI
Adrian Dalca Massachusetts Institute of Technology medical image analysis, genetics, DREAM challenge
Justin Dalrymple University of Ottawa Alzhiemers, Cognitively Normal, CNN
Pablo Damasceno UCSF neurodegeneration; brain atrophy; neuropathology
stefano damiani The Royal Hospital Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance
Jessica Damoiseaux Wayne State University functional connectivity, hippocampus, cognition
David Dan Laif MRI, AI
Giacomo Daneri Tuesta Universidad de Lima Machine Learning, Alzheimer, Prediction, Computer Vision
Tien Dang Chonnam National University PET scan image, segmentation
Christa Dang University of Melbourne cognition, MRI, APOE, longitudinal, biomarkers
Zinkert Daniel Uva Wellassa University Brain, Cortical Thickness
Ebenezer Daniel University of California Los Angeles MRI , fMRI, Machine Learning
Christian Dansereau Perceiv Research, Inc. Biomarker, progressors prediction, cognitive decline
Eveleen Darby Baylor College of Medicine Alzheimer Disease
Ryan Darby BIDMC cognitive reserve, executive, semantic, neuroimaging
Oscar Darias Plasencia Universidad Internacional de La Rioja Alzheimer, machine learning, artificial intelligence
Burcu Darst University of Wisconsin, Madison Alzheimer's disease, cognitive function, metabolomics
Caroline Dartora PUCRS Brain Connectivity, Alzheimer's Disease, MRI, PET
Sandhitsu Das University of Pennsylvania hippocampus MCI
Dulumani Das Gauhati University Image Processing . segmentation. MRI.
Rajdeep Das National Institute of Technology, Calicut Gated Recurrent Units (GRU), Long Short Term Memory(LSTM), ANN
Gautom Das Montgomery Blair Highschool PPMI neural networks model prediction longitudinal course
Ritankar Das Indian Statistical Institute Connectomics, Alzheimer's, Graph analysis, Image processing
Kalyan Das University of Calcutta categorical,miscategorization, missing ness,
jessica dasari texila american university Diffusion tensor imaging
Shovon Dash Khulna University of Engineering and Technology,Khulna,Bangladesh Diagnosis of Alzheimer's Disease
Ashkan Dashtban University of Reading Medical Image Analysis
Hamed Dastouri Azaruniv Neuroscience , Cognitive Science
Aaron Daub University of Washington Dementia, Multiple Sclerosis, Segmentation, Deep Learning
Jérôme Dauvillier SIB - Swiss Institute of Bioinformatics Epistasis
Khishigsuren Davagdorj Chungbuk National University data mining
Deana Davalos Colorado State University TBI, biomarkers, dementia, pathological aging
Christos Davatzikos University of Pennsylvania classification, MCI, conversion to AD
Pranav Dave Azilen Technology Pvt. Ltd. Machine Learning, Alzheimer's Disease, Artificial Analysis
Amy Davila Imperial College London python machine learning
Symphony Davis Indiana University School of Medicine Alzheimer's, Imaging
Eran Dayan University of North Carolina at Chapel Hill resting state, connectivity, machine learning
Arlene Dcosta None Prediction ,Alzheimers , Deep learning
Renske de Boer Quantib B.V. evaluation, segmentation
Marleen de Bruijne Erasmus Medical Center image analysis
Fabrizio De Carli National Research Council - Italy Mild Cognitive Impairment; Alzheimer Disease; FDG-PET
Manlio De Domenico Universitat Rovira i Virgili Multilayer networks
Robin de Flores University of Pennsylvania MTL tau atrophy AD
Leonardo de Geus PUCPR diagnosis, alzheimer, research
Johann de Jong UCB patient stratification, disease progression
IRENE DE LA CALLE POBRE Technical University of Madrid MCI, MRI
Javier de la Rúa Martínez Universidad Politécnica de Madrid Features extraction MRI module
Siemon de Lange University Medical Center Utrecht connectome, structural connectivity, Alzheimer, MCI
Matteo De Marco University of Sheffield Alzheimer's disease, mild cognitive impairment, resting state
Steffi De Meyer 1996 Alzheimer, Mild Cognitive Impairment, Blood, Biomarkers
Melissa de Moraes Carvalho University of Campinas Classification,Deep Learning, Local Entropy
Dante De Nigris Personal machine learning, MRI, data-driven
Paulo Henrique de Oliveira Gomes Federal University of Rio Grande do Sul multimodal, classification, clusters
Micol de Ruvo Philyra UG Parkinson's, olfaction, machine learning
Niek de Schipper Tilburg University Data integrating, Simultaneous component analysis, gene-environment interaction
Eric de Silva University College London polygenic risk scores; cardiovascular disease
Alexandra de Sitter VU Medical Centrum Amsterdam MRI defacing skullstripping Alzheimer
Selene De Sutter Vrije Universiteit Brussel MCI, AD, Deep Learning
Javier De Velasco Oriol Instituto Tecnologico y De Estudios Superiores de Monterrey Machine Learning, Deep learning, Genomics
Rashid Deane University of Rochester Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula
William Deardorff Duke University statin, mild cognitive impairment
oussama debabeche biskra universty mri alzheimer
Dharmashloka Debashis IIT Bombay segmentation, deep learning.
Dominic DeBiaso McKinsey & Co Prodromal, Alzheimer's disease, machine learning, deep learning, patient segment
Charles DeCarli University of California at Davis MRI, cerebrovascular disease
Michael Decker Case Western Reserve University hypoxia, hyperoxia, neurodegeneration
Summer Decker University of South Florida Morsani College of Medicine morphometrics
Anthony DeCristofaro Fairfield University Alzheimer
Milan Decuyper Ghent University Deep Learning, Machine Learning, Medical Image Analysis
Brittany DeFeis University of Florida MCI, intervention, functional outcomes, clinical outcomes
Omar Dekhil University of Louisville MRI, fMRI, ICA
JOHN Del Gaizo Medical University of South Carolina early-onset AD, verbal fluency, amyloid, neuropsychological testing
Stefano Delli Pizzi Univesity of Chieti-Pescara Alzheimer's Disease, Biomarkers
paul delmar F.Hoffmann-La Roche Ltd. disease progression end-point clinical trial
Gaspar Delso GE Healthcare PET/MR
Andrew DeMarco Georgetown University functional connectivity
zeynep demir University of California San Francisco ADNI
Hasan Demirel Eastern Mediterranean University CNN, deep learning, Alzheimer's Disease Detection
Şükrü DEMİRHAS SAKARYA UNİVERSTY MCI AD NM
Andrew Dempsey New York University structural MRI harmonization
Tenzin Dendup University of Canberra machine learning
Denel Denel Dalian University wmh deep learning
chunyan deng southern medical university AD MCI
Jin Deng Shanghai Maritime University Study
Yanjia Deng The Chinese University of Hong Kong MRI, visual function, MCI, AD
Xianqiong Deng Wayne State University machine learning, medical images
Hao Deng University of Chinese Academy of Sciences Student
DADA DENG Sichuan university medical image
Xia Deng China AD
Kristina Denisova Columbia University Medical Center structural and functional MRI
Dennis Deptula Immunobrain Checkpoint Clinical Trials, outcome measures, Alzheimer
Rezwan Derakshan urmia university data mining
Mouna Derbel CRNS Alzheimer Graph CNN multi-modalities
Gulcicek Dere Yeditepe University dwi
Dakota Derry University of Florida Telomere length; cognitive function
Hemal Desai St. Xaviers College Deep Learning
Juhi Desai In-Med Prognostics Segmentation
Vijay Deshpande IIIT Registration
Sameer Deshpande University of Pennsylvania Bayesian methodology, mixture modeling, spatial smoothing
Rahul Desikan Martinos Center for Biomedical Imaging MCI, MRI, morphometry
Avin deSilva Clear Brook High School Machine Learning
Anita DeStefano Boston University Alzheimer, genetics, association
Kacie Deters Stanford University genetics, imaging, cognitive decline
Vivek Devadas Banner Alzheimer's Institute Kewei Chen
Viswanath Devanarayan Abbott Labs biomarkers, disease prognosis, disease progression, multivariate analysis
Gabriel Devenyi Douglas University Mental Health Institute, McGill University MRI
Alyssa DeVito Louisiana State University Multi-state modeling, APOE, cognitive decline
Denise Dewald University Hospitals Cleveland Medical Center sleep apnea, soft palate, tongue position
Blake Dewey Johns Hopkins University mri, ct, synthesis
Raunak Dey University Of Georgia Skull scraping
Devendra Dhami Indiana University Alzheimer,MRI,prediction
sahana dhananjayan UTD FUZZY
Shravan Dhar UVCE Alzheimer
Moyez Dharsee Ontario Cancer Biomarker Network integration, analysis
eric dhillon univ of toronto MRI volumetric analysis regional cortical white matter
Ashish Dhumal Vspace Software Solution brain network, deep learning, early diagnosis, Alzheimer’s disease
Xin Di University of medicine and dentistry of new jersey connectivity, pet
Agostino Di Ciaccio University of Rome 'La Sapienza' deep learning, CNN, multi input NN
Francesco Di Lorenzo University of Sussex AD, functional conncectivity, ApoE, computational model, disease progression
Mamadou Diaby Alten regression test
Valeria Diaz University of Palermo Alzheimer's Disease, Cognitive Impairment
Mirella Diaz-Santos University of California, Los Angeles Cognitive reserve, using ADNI data as teaching example, Psychometrics Workshop
Stefano Diciotti University of Bologna texture analysis, fractal analisys, machine leaning, MRI
Bradford Dickerson Massachusetts General Hospital MRI, PET, cortical thickness, MCI, AD
Philip Dickinson McGill University resting state, connectome wide association
Ellen Dicks VU University Medical Center brain connectivity, cognitive decline, graph theory, single subject
Samuel Dickson Pentara Corporation genetic risk validation meta-analysis SNP
Karl Diedrich Perkin Elmer Analytics correlation
Ousseynou Dieng université de thiés medical image analysis
Kersten Diers German Center for Neurodegenerative Diseases quality control; statistical modeling
Louis Dieumegarde IUSMQ Database
Yago Diez Donoso Yamagata University image registration, research
nassima dif EEDIS Laboratory, Djillali Liabes University, Sidi Belabbes, deep learning, medical images
HIMA DILEEP COLLEGE OF ENGINEERING KARUNAGAPPALLY ALZHEIMER'S DISEASE
Vanderson Dill Pontifícia Universidade Católica do Rio Grande do Sul Hippocampus Segmentation, Evaluation
Xiuhua Ding University of Kentucky group based trajecotry model , dementia, sleep apnea
Xuetong Ding Hebei University alzheimer's disease
Xuemei Ding Ulster University Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction
Yukun Ding University of Notre Dame MRI; DNN-based image processing
xt Ding HeBei University Alzheimer's disease
Camila Diniz IFPE Alzheimers disease, project
Ivo Dinov UCLA Alzheimer's disease, statistics, shape
Nicola Dinsdale University of Oxford hippocampus machine learning
Valentin Dinu Arizona State University pathway analysis, complex phenotype, data mining, statistical analysis
Tiphaine Diot Ecole de Technologie Superieure Course project, CNN
Aleksandar Djuric Robarts Research Institute deep learning, segmentation
Iwona Dobler Takeda Pharmaceuticals International Co. biomarker
Vitaly Dobromyslin University Of Massachusetts Genetics, neuroimaging, biomarkers, machine learning
Alessandra Dodich Hôpitaux Universitaires de Genève Alzheimer's Disease; tau; cognitive reserve
Semih Doğan Engineering Faculty Student,Exam
Merve Yusra Dogan Istanbul Medipol University functional connectivity, neuropsychological test, fMRI, big data
Berk Dogan ETH Zurich deep learning, latent space analysis
Oriol Dols-Icardo Sant Pau biomedical research institute Genomics, MRI
Daniel Domingo Fernandez Fraunhofer SCAI Bioinformatics
Carmen Dominguez University of Florida PET
Frank Dondelinger Lancaster University lasso, prediction
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
Yilan Dong Northeastern University brain network
liao dong wuhandaxue 123555love
Jian Dong Harvard Medical School Diffusion MRI, white matter, beta amyloid
Sen Dong Ludwig Maximilian University of Munich Deep Learning
Aimei Dong QiLu University of Technology Alzheimer's Disease Diagnosis, Analytical methods,predictive methods
Shuai Dong University of Electronic Science and Technology of China, Zhongshan Institute CapsNet
ZHANG DONG Nanjing University of Science and Technology Visualizing; CNN
Mei Dong University of Saskatchewan Bayes method, simulation
Ganggang Dong Xidian University DIAGNOSTICS
Qunxi Dong Arizona State University Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry
Guozhu DONG Wright State University Factor ranking considering interactions
YANG DONG Yanshan Uniwersity dti
Claire Donnat Stanford University statistics; connectomics; dMRI; fMRI
Michael Donohue Keck School of Medicine of USC ADCS
Cristian Donos University of Bucharest mri, nonlinear registrarion, deep learning
Nandika Donthi UC Berkeley neural nets, identification
Sri Donthineni High School Student Genetics
Lingraj Dora VSSUT brain tumor detection
Reuben Dorent KCL tissue segmentation machine learning
haoran dou shenzhen university deep learning
Mitchell Doughty McMaster University Controls, TBI
N. Maritza Dowling University of Wisconsin-Madison Diagnostic Classification Models, Computerized Adaptive Testing, ItRT
Andrew Doyle McGill University deep learning
Senan Doyle Pixyl PET, MRI, AI, Deep Learning
Nicolas Doyon Laval University Aging, clustering algorithms
Bogdan Draganski CHUV voxel-based morphometry
Sorin Draghici Advaita meta-analysis, data integration, subtype discovery
Derek Drake Harvard University AD
Daniel Drake Columbia University elastic net, penalized regression, biomarkers
Jonathan Drake Alpert Medicial School of Brown University VCAM-1, vascular risk factors
Xiaofeng Du Xiamen university of technology Non-rigid image registration, multi-resolution image registration
Kevin Du Xiamen niversity Academic propose
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
Dongsu Du Henry Ford Hospital super resolution
Jinglong Du Chonqing University MRI
Guangwei Du Penn State Hershey Medical Center TBM, neurodegenerative disease pattern
Qianqian Du Taiyuan University of Technology pet image reconstruction
Sejal Dua Tufts University fMRI, data analysis, PET, k-means, clustering, algorithm, neuroimaging
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
Estelle DUBUS CHU TOULOUSE Cognitive description, ATN classes, amyloid biomarkers, heterogeneity
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
Michelle Dunk University of Wisconsin - Milwaukee Cholesterol, APOE, amyloid-beta, tau, oxysterols, Alzheimer's disease
Matthew Dunlop-Gray The MITRE Corporation Brainprint, MITRE,
Duc Duong Emory University proteins, biomarkers
Baskar Duraisamy Hindusthan College of Engineering and Technology Deep Learning
Tugce Duran Indiana University School of Medicine MRI and PET scans, genotypes
Aiden Durrant University of Lincoln Deep Learning, Computer Vision
Stanley Durrleman INRIA statistics, longitudinal, spatiotemporal data, image analysis, aging, brain
Anirban Dutta University at Buffalo SUNY Non-invasive brain stimulation
Martin Dyrba German Center for Neurodegenerative Diseases (DZNE) probabilistic models, multimodal analysis, machine learning, Markov random field
Witold Dyrka Wroclaw University of Science and Technology MRI, PET, computer-aided analysis, image segmentation, neural network, python
Gill Eapen Decision Options, LLC Artificial Intelligence, Decision Options
Jennifer Eastman Northwestern University MCI
Bobi Eastman Indiana University data analysis, research, early detection
Mark Ebbert Mayo Clinic Challenging regions
Amir Ebrahimighahnavieh University of Newcastle Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM
Ignacio Echegoyen Centre for Biomedical Technology Complexity, Networks, MCI
Rafael Eder Predict Vision dicom deep learning
Steven Edland UCSD APOE
Emily Edmonds University of California, San Diego Mild cognitive impairment; Neuropsychology
ANTOINE D EDOUARD Harvard University MCY&ALzheimer
Christine Edwards Mayo Clinic deep learning, interpretability, landmark detection
Carley Edwards Imperial College London Tau, Amyloid and FDG
Trygve Eftestøl University of Stavanger dementia, machine learning, deep learning
Bernhard Egger Massachusetts Institute of Technology WMH, Shape Modelling, Statistics, Growth Modeling
Graham Eglit University of California, San Diego survival analysis; progression to dementia; mild cognitive impairment; ATN Syste
Dagmar Ehrnhoefer BioMed X Innovation Center CSF, tau
Muhammad Ehtisham Ul Haq iiui alzheimer dataset
Simon Eickhoff Research Center Jülich Aging, Prediction, Transfer
LUCIANA EIDENSON IACA Laboratorios innogenetics
Willem Eikelboom Erasmus MC ad
Eyþór Einarsson Haskoli Islands Deep Learning, Brain Age, Machine Learning, MRI
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
abdelali el idrissi FST FEZ big data, prediction
Lamia EL-BESRI University Alzheimer
Fady El-Gabalawy BIDMC adni, machine learning, neural networks
fanny elahi UCSF Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics,
Ahmed Elazab Shenzhen University AD, biomarkers
Ghaidaa Eldeeb faculty of engineering cairo univeristy DTI
Fatmaelzahraa Elgamal University of Louisville Fusion, medical image analysis, early diagnosis of AD
Mohamed Elgendy Stony Brook University epilepsy
Yuri Elias Rodrigues UFRGS machine learning, distance based algorithms
Odessa Elie University of Arkansas early detection
Patrick Ellis University of Sheffield segmentation cerebellar imaging radiology MRI machine_learning Alzheimer's
Brian Ellison Harvard Medical School Deep Learning
Natalie Ellison Pentara Corporation Composites Genetics
Intissar Elmajid Ibn Zohr University Deep learning, CAD, Multimodality, AD recognition, Segmentation
Jeremy Elman UCSD Pupillometry, aging, dementia
Karin Elman Shina Tel aviv Sourasky medical center menopause, mild cognitive impairment, MCI, ALZHEIMER DIS EASE, HORMONE REPLACEME
Shaker ElSappagh Inha University Mobile health, deep learning
ahmed elsayad Mansoura University big data, big data analysis , big data processing
abdo elsayed assuit university rmi
Samar Salah Mohamedahmed Elsheikh University of Cape Town Neurogenomics, Alzheimers, Genome-wide association study (GWAS), Connectome
Habiba Elsherbiny Queen's University N/A
Fatemeh Emadi university y
Jurriën Embrechts amc machine learning
Busra Emir Izmir Katip Celebi University Machine Learning Algorithms
Mohammad Asif Emran Khan Emon Fraunhofer Institute for Algorithms and Scientific Computing SCAI Neuroimaging Analysis, LONI
Gabriel Emunah Tufts University cerebral deterioration
Corinne Engelman University of Wisconsin-Madison Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop
Rahim Entezari Institute for Research in Fundamental Sciences gan,anomaly
Gina Eom University of Toronto inflammation
Joel Eppig SDSU/UCSD Joint Doctoral Program in Clinical Psychology MCI, Latent Variable Modeling
Noam Epstein University of Illinois at Chicago Pharmacoepidemiology
Fusun Er Yeditepe University Alzheimer's Image Processing
Alveiro Erazo Universidad Nacional de Colombia Alzheimer Disease, Prediction, Artificial Intelligence
Basri erdogan Bogazici University Alzheimer's disease, deep learning, cnn
Mahdiyeh Erfanian Ferdowsi University of Mashhad statistics. SPC, profile monitoring
Tugce Ertuzun Mehmet Ali Aydinlar University AD, Controls, NGS, Genomics
Valentina Escott Price Cardiff University Polygenic Risk
Javier Escudero University of Edinburgh Machine learning, Decision support, biomarkers
Simon Eskildsen Aalborg University cortical thickness, brain mapping, segmentation
Sahar Esmaeeli Abbvie Alzheimer, imaging, Genetics
Soheil Esmaeilzadeh Stanford University deep learning course, Stanford university, class project
HECTOR ESPINOS-MORATO I3M institute of Detectors for Molecular Imaging CNN, multimodal imaging, classification, regression
Ana Espinosa Fundació ACE SMC and cognition
Ana Espinosa Fundació ACE Cognition,
Ferran Espuny Pujol University of East Anglia longitudinal cortical thickness, ANTs
ACHRAF ESSEMLALI Scil Lab, Sherbrooke University GCN, DEEP LEARNING, AD, CONNECTOME,
Karol Estrada Genothis genetics genomics alzheimers
Dhivya Eswaran Carnegie Mellon University hidden markov models, exploratory analysis
A Et EtPc Ad, MRI
Paolo Eusebi University of Perugia csf biomarkers; data-driven models; disease progression
Chloe Eusebio California Polytechnic State University, San Luis Obispo wavelet transform, wavelet analysis, convolutional neural networks
Ignacio Evangelista Universidad Nacional de Rosario Database, Normative values, Machine learning
Dave Evenden Southampton Universiry Dementia, Disease Modelling, Healthcare Planning
Katrina Evtimova NYU neuroimaging analysis
Paul Expert Imperial College London Graph Convolutional Neural Networks, Complex Networks
Hatim Ezbakhe UC Berkeley PET/MRI metric, causal factors
Ahmed Ezzat Cairo University machine learning, ANN, MRI, EEG
Ali Ezzati Albert Einstein College of Medicine Volumetric, MRI, Amyloid, cognitive decline
saeid fa Qazvin Islamic Azad University image classification
Nathalie Fadel Columbia University Mailman School of Public Health fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac
Rachid Fahmi Siemens Healthcare AD, PET, FDG, MRI, Amyloid
Muhammad Faisal King Fahd University Tadpole Challenge Data
Sylvain Faisan Icube Image processing, pattern recognition
Raul Falcão UFPE database, bioinformatics
David Falta Harvard University Educational Use
Ariana Familiar UNIVERSITY OF PENNSYLVANIA machine learning, predictive modeling, diagnostics
zhiwen fan Xiamen University MRI, DEEP LEARNING
Wenliang Fan Union Hospital, Huazhong University of Science and Technology BOLD data analysis
fanda Fan Institute Of Computing Technology Chinese Academy Of Sciences reasearch
Yong Fan University of Pennsylvania Pattern recognition; Machine Learning, Multi-site data
Weina Fan Qufu normal university Research the Alzheimer's disease
Joline Fan University of California, San Francisco unsupervised learning algorithms, early predictors
Yong Fan University of Pennsylvania Pattern recognition
ZHEN FAN Imperial College London Longitudinal amyloid tau
Yonghui Fan Arizona State University ADNI2-GO MRI data
ZHEN FAN Imperial College London AD biomarkers PET MRI
Fan fanda Institute of computing technology, Chinese Academy of Sciences research
wang fang Zhejiang Pharmaceutical College 202020
Chen Fang Florida International University Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment
ZHOU FANG Chinese University of Hong Kong Deep Learnining, Alzheimer's Disease
CHAO FANG THE UNIVERSITY OF MANCHESTER machine learning, automatically detection
meng fanhua Shanghai no. 5 hospital hippocampal,VBM
Félix Fanjul-Vélez University of Cantabria Alzheimer, dementia, image analysis
David Fardo University of Kentucky Pathway-wide association, AD
Jeanfranco David Farfan Escobedo Universidad Nacional de San Antonio Abad del Cusco 12345
Muhammad Farhan Bahria University Islamabad, Pakistan Neural networks
Fadi Farhat New Jersey Institute of Technology machine learning, neural network, deep learning
Syed uzma Farheen VISTAS Alzheimer's
Bijan Farhoudi University of Calgary MRI
Sarah Farias University of California Davis cognitive reserve, cognitive decline
Gonzalo Farías Universidad de Chile synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau
Mohammadjavad Faridafshin Shiraz University image processing, AD, Classification, Machine Learning,
Bryn Farnsworth Independent SNPs, GWAS
Hamza Farooq University of Minnesota Diffusion MRI, Structural graph analysis, Alzheimer's Disease
Ammarah Farooq CEME NUST multiclassification, deep learning
Cathy Farrar Rockwood School District early onset dementia and plaque formation
Chloe Farrell King's College London Genetics; Neuroscience; Neurodegeneration; Neuroimaging
Michelle Farrell Massachusetts General Hospital amyloid, cognitive decline, preclinical AD
Lindsay Farrer Boston University School of Medecine gwas alzheimers meta-analysis adgc
Madeline Farron University of Michigan Medicine Neuroimaging, Alzheimer's Disease
maedeh fasihi ucf machine learning, classification, pattern recognition
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
Ebrahim Feghhi University of California, Los Angeles Machine Learning
Andrea Feher Tilburg University tau-PET, CSF
Franklin Feingold Stanford University BIDS
Eden Feldman New York University Medical Center biomedical informatics
avi feldsher Brain and Behavior Research Institute deep machine learning mri cortical volume
Grazia Daniela Femminella Imperial College London inflammation; atrophy; AD; MCI
Brad Feng Capital Medidcal University Deep Learning; Alzheimer Disease
Jinwang Feng Northwestern Polytechnical University Alzheimer's disease, Feature extraction, Classification
Xinyang Feng Columbia University AD imaging biomarker
Sheng Feng Green Valley Research Institute DNA Seq, GWAS, ApoE
Zhichao Feng The Third Xiangya Hospital of Central South University fzc2018xyyx
Christine Fennema-Notestine UCSD MRI, thickness, morphometry, shape analysis, PET
Frederick Feraco Walt Whitman High School Brain, correlation
darius Ferdows Mindsquare MRIs, Imaging,
Miguel Fernandes Faculdade de Ciências e Tecnologia of Nova University of Lisbon Classification
Alberto Fernández Universidad Complutense de Madrid, Spain APOE4, Amyloidosis, cognitive performace
MIGUEL ANGEL Fernandez University of Cadiz PET, image, machine learning
Elsa Fernandez University of the basque country patterns, fMRI
Eric Fernandez Christ Church Episcopal School ai, alzheimer's
Sara Fernandez Rodriguez-Cabello University of Salzburg aging, longitudinal, WMH, AD
Ricardo Ferrari Federal University of São Carlos image segmentation, contour models
Sebastiano Ferraris University College London Registration algorithm, diffeomorphisms, stationary velocity field
Hugo Ferreira Faculty of Sciences of the University of Lisbon Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET
Francisco Ferreira INESC-ID machine learning, temporal mining, prognostic prediction, prognostic markers,
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
Constance Ferrero sorbonne thesis
Lucas Fidon King's College London medical image registration
Mark Fiecas University of Minnesota fMRI, connectivity, longitudinal
Manuel Fiel IDIS MRI. Nieman Pick
Cassidy Fiford University College London, Institute of Neurology white matter disease, vascular risk factors
Michal Figurski University of Pennsylvannia UPenn, Leslie Shaw
Massimo Filippi San Raffaele Scientific Institute, Vita-Salute San Raffaele University diagnosis; learning algorithm; 3D convolutions; multimodal MRI.
Teresa Filshtein University of California, San Francisco genetics, Friday Harbor
Caleigh Findley University of Colorado Colorado Springs AD, MCI, APOE4, memory, executive functioning, tau
Giorgio Finesi Sapienza Deep Learning
Elizabeth Finger University of Western Ontario NPI, MRI, PET
Tatiana Finley Los Alamos National Laboratory deep sparse coding, alzheimer's disease, early detection, multi-modal model
Sean Finn Tekever image processing quantification
Nicholas Firth UCL Event-based model
Florian Fischer Universtiy Medical Center Mainz Structural brain networks, Graph theory, Cognition, Alzheimer's disease
Christopher Fischer Sanford Health NA
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
Dailen Folkedahl University of New England College of Osteopathic Medicine Detection of AD characteristics
Mark Folkin KPI medical, surgery, operation, patient
Bernard Fongang UT Health San Antonio Dementia, Vascular dementia, Gene expression, MRI markers
Cynthia Forgeron St. Francis Xavier University machine, learning, biomarker, regions, of, interest
Myriam Fornage University of Texas Health Science Center at Houston Small Vessel Disease; brain MRI; white matter hyperintensity
Ali foroutannia ferdowsi university of mashahd clustring
Parisa Forouzannezhad Florida International university MCI, AD, Neuroimaging
Belén Fos Guarinos QUIBIM deep learning, medical imaging, diagnosis
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
Javier Franco Pérez Openanalytics FNIH Biomarkers Consortium
Mark Fraser Australian National University harmonized Hippocampal protocol, manual segmentation
Mark Frasier Michael J Fox Foundation CSF, biomarkers, neurodegeneration
Scott Fraundorf Southern Illinois University Edwardsville clustering
Heather Frechette University of New Hampshire artificial neural networks, alzheimer's
Blaise Frederick McLean Hospital/Harvard Medical School resting state, perfusion,
Ben Freeze Weill Cornell machine learning, olfaction
Johann Frei TUM image registration, manifold learning, medical image classification
Joshua French University of Colorado Denver principal components, isotropy
Milana Frenkel-Morgenstern Bar-Ilan University Alzheimer's disease, CCR5
Yun Freudenberg-Hua Feinstein Institute of Medical Research AD genetics, loss-of-function variants
Christian Freytes Florida International University alzheimers
Brad Friedman Genentech, Inc. bioinformatics genetics
Christoph M. Friedrich University of Applied Science and Arts Dortmund SNP subset selection
Rasha FRIJI Ecole Nationale des Sciences de l'Informatique Data augmentation, GAN
Lars Frings University of Freiburg PET; Amyloid; FDG; Medial Temporal Lobe
Giovanni Frisoni IRCCS San Giovanni di Dio FBF - The National Center for Research and Care of Alz ADNI EADNI
Hans-Christian Fritz German Center for Neurodegenerative Disease basal forebrain, functional connectivity
Holger Fröhlich UCB machine learning
Karl Frontzek University of Zurich deep learning, alzheimer's, metabolomics
Robert Frost University of Utah PET, atypical dementia, neuropsychology
Pan Fu Taizhou First People’s Hospital Alzheimer's disease, synaptic degeneration, clusterin
Xianjun Fu Shandong University of TCM AD &TCM
yu fu lanzhou university longitudinal brain changes; MCI;AD
Jason Fu Guangxi University medical image registration
Aslan Fu BJUT MRI
Zhihui Fu Shanghai Jiao Tong University Alzheimer Disease, Convolutional Neural Network
ke fudao Beihang University kai6849868
Motonobu Fujishima National Center of Neurology and Psychiatry differential diagnosis; Alzheimer's disease; FDG-PET; MRI
Tatsuya Fukuda Chuo university classification, functional data, longitudinal data
Brian Fulton-Howard Icahn School of Medicine at Mount Sinai PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS
Tsukasa Funane Hitachi, Ltd. AI, Machine learning
Cory Funk Institute for Systems Biology Alzheimer RNA-seq WGS
Ansgar Furst Stanford University Alzheimers, TBI, Veterans
Jessica Fuselier IUPUI GWAS, Alzheimer's
Anirudh G Philips MRI to CT
abdallah gad misr university AD-MCI-NC - machine learning - classification - feature extraction
Jin Gahm USC Surface mapping
Niharika Gajawelli USC fMRI, MRI, AD, MCI,
MEHUL GAJWANI UNSW Student, machine learning, neuroscience
Caterina Galandra School for advanced study IUSS-Pavia Alcohol
Paola Galdi University of Salerno networks, multi-modal data, classification
Liisa Galea University of British Columbia APOE, Pregnancy, motherhood, hormone therapy, inflammation
Daniel Gallichan Cardiff University multi-contrast image visualisation
Paul Gallins NC State University data integration neuroimaging genetic
Marian Galovic UCL longitudinal, epilepsy, progression
Marta Galvani Università di Pavia machine learning; classification; features selection
Amr Gamal Faculty of Engineering, Alexandria University Deep learning, Computer vision, TADPOLE
Dragan Gamberger Rudjer Boskovic Institute data clustering, subgroup discovery, intelligent data analysis
Wei Gan National University of Singapore Ensemble algorithms, Machine Learning, Combining classifiers, Con-tinuous
Hong Seng Gan Universiti Kuala Lumpur hippocampus Segmentation, Alzheimer's Disease, Random Walks
Lin Gan Illinois Institute of Technology DTI, image registration
Jacopo Gandolfo Università degli Studi di Genova wmh
amir hosein gandomi sahand university of technology traumatic brain injury, finite element method, 3d model
Michal Gandor Politechnika Krakowska AI, computer science
Rithvik Ganesh Jasper High School AD, machine learning, diagnosis
Sukruth Ganesh Thapar Institute of Engineering and Technology Deep learning, Big data, Feature selection
Reema Ganotra YMCA University of Science and Technology Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis
Och Ganzorig Inha university ADNI
Fei Gao University of North Carolina at Chapel Hill Biomarkers, Joint modeling
Mengxia Gao The University of Hong Kong Convolutional neural network; Multi-modality; Predict; Alzheimer's; Cognitive
feng gao SHANGHAI MORROW AI CO.LTD TADPOLE
Yang Gao The University of Queensland deep learning, undersampling
Yue Gao Harbin Engineering University Writing a paper.
Xiang Gao PKU Alzheimer’s disease Machine Learning
Lei Gao Neuroimaging and Informatics Institute classroom exercises
Ning Gao GXU ADNI
X. Raymond Gao University of Illinois at Chicago Age-at-onset, Genetics, Statistical methods, Polygenic risk score
Yuyuan Gao Guangdong General Hospital Alzheimer’s disease; Biomarker; Blood; spinal fluid
Yuanyuan Gao sothern medical university PET MRI
ann gao Cyagen Biosciences Deep Learning
Xiaohong Gao Middlesex University multi-modal classifier, fuzzy logic
Yurui Gao Vanderbilt University functional connectivity
Xiao Gao University of California, San Francisco atrophy, cognition
Fuxun Gao University of Shanghai for Science and Technology Alzheimer’s disease; Computer-aided diagnosis
Linlin Gao Harbin Engineering University graph
zhiao gao Guilin University of Electronic Technology graduation design
Yufei Gao Beijing Normal University transfer learning, multimodal brain images analysis
Linlin Gao Harbin Engineering University corner matching, medical image, classification
Linlin Gao Ningbo University longitudinal MRI, convolutional neural network, recurrent neural network
ruiqi Gao Harbin Engineering University research
Sara Garbarino UCL Network diffusion models
Carlos García Universidad Rey Juan Carlos charlie1eso
Gracian Garcia Quiron PET; SPM; templates
Kara Garcia Indiana University School of Medicine surface registration, longitudinal, cortex, shrinkage, biomechanics
Yiliet Garcia University of Brasilia at Gama Compressive sensing, PET, medical imaging, prior information
Tanya Garcia Texas A&M University T1-weighted MRI images; Cox regression; tensor covariates
Julián García Universidad de Sevilla PET
Miguel Garcia Boehringer-Ingelheim historical controls, placebo, disease modelling
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
Diego Garrido Centre for Genomic Regulation multivariate regression, GWAS, QTL mapping, Alzheimer's disease
Ángela Garrido Pascual Universidad de Sevilla medical digital image processing
Eduardo Garza-Villarreal Instituto Nacional de Psiquiatria diabetes, imaging genetics, neuroimaging
Christian Gaser Jena University Hospital brainage, vbm
Grant Gasser Baylor University data science, machine learning, research project, neural network, R, Python
Vincent Gaudet University of Waterloo iterative algorithms, belief propagation, stochastic computing
Serge Gauthier McGill University Imaging, Alzheimer's Disease, Brain Connectivity
Barzin Gavtash Loughborough University Nasal cavity - CFD - Drug delivery
Jodie Gawryluk University of Victoria white matter, MRI, DTI, cognition
Pastel Gbetoho Harvard Extension School Harvard Extension School machine learnin project
xinting ge LONI hippocampal formation, brainstem
xinting ge LONI Neuroimage
Tian Ge Athinoula A. Martinos Center for Biomedical Imaging neuroimaging genetics
Shufei Ge Simon Fraser University Associations study, Group Lasso ,spatial correlation structures
Hugo Geerts In Silico Biosciences Quantitative Systems Pharmacology
Claudio Gentili University of Padova SVM, Depression, Cognitive functions
Andrew Geoly INI TBM
Claudene George, MD, RPh Albert Einstein College of Medicine ACE Inhibitors, Dementia
Konstantinos Georgiadis University College London computational models, simulation
Loraine Georgy McGill University (Montreal Neurological Institute) Cortical thickness; blindsight; hemispherectomy; lesions; visual systems
Richard Gerkin Arizona State University teaching
Anda Gershon Neurocentria, Inc. AD, risk factors
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
Hadi Ghahremannezhad New Jersey Institute of Technology Random Forest, Alzheimer's disease
vahid ghanbari Amirkabir University of Technology Alzheimer - deep learning
Mohsen Ghanbari Erasmus University Medical Center NFL, GWAS, Alzheimer's disease
Saoussen gharsallah ISIM Gabes WMH, segmentation
Amirhossein Ghaznavi Islamic Azad Science and research data access, convolution nueral network
sailee ghodekar K.J.Somaiya brain
Ghazale Ghorbanzade Isfahan University of Technology Alzheimer’s Disease, DTI Imaging
Reyhaneh Ghoreishiamiri University of Alberta Early diagnosis
Nachiket Ghorpade Pune Institute of Computer Technology CNN, Deep learning
Debasish Ghose University of Agder AI
Spandan Ghosh Institute of Engineering and Management Semantic Segmentation
SUKANTA GHOSH JADAVPUR UNIVERSITY detection of Alzheimer's Disease
Kaushik Ghosh University of Nevada Las Vegas Bayesian analysis, tractography
Ankur Ghoshal JU Segmentation
Luca Giancardo University of Texas Health Science Centerat Houston machine learning, longitudinal connectomes
Trung Giang Tay Bac University Alzheimer Disease MRI
Laura Gibbons University of Washington Genetics, using ADNI data as a teaching example, Friday Harbor
Jesse Raphael Gibbs National Institute on Aging, NIH genetics neurodegeneration
Gary Gibson Weill Cornell Medical College conversion
Lasse Giil Haraldsplass Deaconess Hospital Mild cognitive impairment; external validity
Jorge Mario Gil Valencia Universidad Tecnológica de Pereira DTI, Pain
Yekaterina Gilbo University of Virginia MRI, GAN, Computer Vision, Deep Learning
Sascha Gill University of Calgary Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging,
Daniel Gillen UC Irvine Statistical Methods; Case-Cohort; Nested Case-Control; Survival Analysis, CSF
Gayakshika Gimhani Informatics Institute of technology Machine Learning
Alessandro Giordani Università Cattolica del Sacro Cuore epidemiological studies, risk factors
Joseph Giorgio University of Cambridge Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models
Tania Giovannetti Temple University functional abilities, informant
Diana Giraldo Universidad Nacional de Colombia Morphometric Analysis
Kirti Chandra Giri Indira Gandhi Delhi Technical University For Women Cognizance
Juan D. Gispert Fundació Pasqual Maragall Partial Volume Correction,
Giovanni Giulietti IRCCS Santa Lucia Foundation magnetic resonance, DTI, Alzheimer, mild cognitive impairment
DESPINA GKATZIOURA NCSR Demokritos Internship, Demokritos
Kelly Glavin University of Pittsburgh alzheimers, tract, metrics
Brad Glazier Indiana University Imaging, Genetics, Biomarkers
Arnaud Gloaguen Neurospin Multi-way, CCA, Classification, Integration
M. Maria Glymour UCSF Friday Harbor; psychometrics; cognitive reserve; using ADNI data as a teaching e
Alison Goate Icahn School of Medicine at Mount Sinai Genetics, using ADNI data as a teaching example, Friday Harbor
Justin goding UMass Medical School Brain imaging, SPECT, XCAT
TRIPTI GOEL National Institute of Technology, Silchar feature extraction, classification
Sheng-Yang Goh UCSF frontotemporal dementia
Suril Gohel School of Health Professions, Rutgers University PET, MRI, Alzheimer
Durmus GOKCEBAY Teias MRI Data, Alzheimer's patients, NN
Durmus Gokcebay Teias MRI Data, Alzheimer's patients, NN
Dilek Goksel Duru Istanbul Arel University ANN, CNN, feature extraction, biomarker
Soroosh Golbabaei university of tehran alzheimer disease, Mild Cognitive Impairement, Connectome, Graph Analysis
Daniel Golden Arterys machine learning, segmentation
Danielle Goldfarb Banner Alzheimer's Institute sleep, ventriculomegaly
Felicia Goldstein Emory University task engagement, recognition memory, normal cognition, MCI, AD
Laleh Golestani Rad Northwestern University finite element modeling, tDCS
Sepehr Golrizkhatami Fraunhofer Institute Event-based modeling, mechanism validation
Jesus Gomar Northwell Health Amyloid PET
Sara Gomes FEUP Alzheimer, Image analysis
Rodrigo Gomes de Souza UFPE machine learning; azlheimer; early diagnosis
Isabel Gomez Consorci Sanitari Integral Alzheimer's disease, primary progressive aphasia, FDG-PET, MRI
Jon Ander Gómez Adrián Universitat Politècnica de València Deep Learning; Semantic segmentation of medical images; Predictive models;
JUAN PABLO GOMEZ GONZALEZ QUBIOTECH HEALTH INTELLIGENCE MRI volumetry, Alzheimer's Disease
Aracely Gomez Lizaga Universidad de Zaragoza class work, university, TADPOLE
Martin Gomez Ravetti Federal University of Minas Gerais multiplex networks, difussion
Vanessa Gomez-Verdejo Universidad Carlos III de Madrid machine learning, mri
yasmin Gonella Ms cognitive reserve, cognitive reserve measurement,
Hoyt Gong University of Pennsylvania Precision Medicine
Kuang Gong Massachusetts General Hospital Partial volume correction PET
Kuang Gong Massachusetts General Hospital Deep learning, AD, MCI
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
Venkateswarlu Gonuguntla Samsung Medical Science Research Institute graph convolution, fMRI
Camila Gonzalez TU Darmstadt Tadpole Challenge
Edgar González Universidad de los Andes Alzheimer
Gerardo Gonzalez University College London AD, Big data, Automated anomaly detection
Clio Gonzalez University of Southern California Genetics, Neuroimaging
Willy González Universidad de El Salvador Profesor, Psiquiatria, Neurociencias
David Gonzalez University of Texas Health Science Center at San Antonio FAQ, NPI, psychometrics
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
Luise Gootjes-Dreesbach UCB Bayesian Networks
Janakasudha Gopalan Sri Venkateswara College of Engineering Alzheimer's Disease, Brain image analysis, machine learning and deep learning
Janakasudha Gopalan Sri Venkateswara College of Engineering Image analysis, Machine learning
Pietro Gori Télécom ParisTech T1, DWI, statistical shape analysis, education
Richard Gorniak Thomas Jefferson University MRI, convolutional neural networks, medial temporal sclerosis
Juan Manuel Gorriz University of Granada Image processing, Random forest
Dorothy Gors Kuleuven multivariate analyze, imaging genetics
Saransh Goswami IIT BHU varanasi sg
Mattias Göthlin University of Gothenburg, Institute of Neuroscience and Physiology Classification, prognostic accuracy, demography
Assaf Gottlieb UTHealth AD, FTD
Xanthippi Gounari University of Strathclyde Glasgow ADL, MRI scans, AD, MCI
Daniel Gourdeau Université Laval Radiomics,AD prognosis, machine-learning, texture analysis
Ankit Goyal Stanford U Brain MRI
SARASWATHY GR M S Ramaiah University of Applied Sciences Computational, Alzheimer's disease
John Graf GE Global Research kinetic system risk model PBPK BioDMET
Ariel Graff Universtity of Toronto depression, amyloid, PET
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
Sarah Gregory University of Edinburgh Cortisol Diabetes HbA1c
Michael Gregory NIH neuroimaging
Michael Greicius Stanford University genes, structure
Douglas Greve MGH PET
Stuart Grieve Heart Research Institute data-fusion, neuroimaging, concussion, depression, dementia, brain structure
Joshua Grill UC Irvine informant
Stefano Giuseppe Grisanti University Of Genoa alzheimer cognitive reserve
Anthony Griswold University of Miami whole genome sequencing, ABCA7, VNTR
Stefan Grivalsky STU FIIT (SK) machine learning, computer vision, medical image processing
Vince Grolmusz Eotvos University vertex connectivity, edge connectivity, network flows
Colin Groot VU University medical center Alzheimer's disease, Voxel-based morphometry, psychometrics
Irme Groothuis University College London microbleeds, deep learning
Giuseppe Grossi Ryerson University Deep Learning, Computer Vision, Machine Learning
Matthew Gruen NYU School of Medicine Alzheimer's Anxiety MRI Hippocampus
Arne Grundstad AbbVie AbbVie ADNI
Zhengguo Gu Tilburg University bigdata, multi-block data, regularized simultaneous component analysis
Lihua Gu Southeast University Alzheimer's disease
DONG GU HNU DIR
haifeng gu Nantong University deep learning
Sichun Gu Longhua Hospital, Shanghai University of Traditional Chinese Medicine Parkinson's disease
Xuejun Gu The University of Texas, Southwestern Medical Center radiation, representation learning
Nannan Gu Shanghai Mental Health Center cognitive impairment, Alzheimer’s disease, data-mining techniques
Yuanfang Guan University of Michigan manuscript submission
cihey guan University of Electronic Science and Technology of China rsfmri
Ji Guang Soochow University GAN, MRI, CT
Cecilia Guariglia Università Sapienza dementia, cerebellum, mri
santwana gudadhe PCCOE alzheimer disease
Laura Guerrier INSERM Benson syndrom
Pamela Guevara University of Concepción white matter bundles, anatomy, machine learning
Barry Guglielmo Harvard University, T.H. Chan School of Public Health Deep Learning, Alzheimer's, biomarkers
Rajashekhar Gugulothu no company cancer
Pratim Guha Niyogi Michigan State University Statistical Models
Vincent Guillemot Institut Pasteur resting state ; MDS
Jérémy Guillon ICM brain connectivity, graph analysis
Abel Guimaraes Ryerson deep learning, Alzheimer’s Disease
sharvari gujja Wuxi NextCODE machine learning, deep learning, genetic drivers
Gaurav Gulati The NorthCap University Brain, A
Jyotasana Gulati Alkahest Inc. statistical learning, Alzheimers, Plasma
SARITA GULIA BANASTHALI UNIVERISTY RAJASTHAN ADNI, AD , BRAIN , MRI
Melisa Gumus University of Toronto Computational Neuroscience, Modelling Alzheimer's Disease, COBWEB
TAMIL INIYAN GUNASEKARAN Chosun University SNP, GWAS, MRI, pathogenesis, neuronal damage.
TAMIL INIYAN GUNASEKARAN Chosun University Amyloid PET, Cortical atrophy, GWAS and Alzheimer's Disease
Nishan Gunawardena University of Colombo Alzheimer’s Disease, Pre-detection, MRI data, image processing
Roger Gunn Imperial College London Mathematical Analysis, Classification, Machine Learning
Jiaming Guo Massachusetts General Hospital ordinal regression, progression of AD
Ying Guo Emory University statistical learning, longitudinal analysis, integrative analysis
Tong Yu Guo NorthEastern University deep learning
DANFENG GUO CURACLOUD CORP Deep learning
Yusheng Guo South China University of Technology asd123....
Min Guo Shanxi University of Finance and Economics Baysian networks, brain connectivity
Gavin GUO The Hong Kong Polytechnic University machine learning; transfer learning;AD
Yanzhi Guo Sichuan University deep learning, Alzheimer's disease, computer-aided therapy
weiping guo Beijing Normal University classfication,Euler Elastica Regularized Logistic Regression
Yanrong Guo Hefei University of Technology classification , neuroimaging
Pranav Gupta IIT BHU Results comparison with existing results
Vinay Gupta University of Manitoba Alzheimer's disease, graph theory, multivariate analysis, support vector machine
Akansh Gupta graphic era university research
Yubraj Gupta Chosun university CNN, Alzheimer disease
Shantanu Gupta University of Wisconsin-Madison atlas construction, template generation, deep learning
Smriti Gupta Nitj Alzheimer disease, MRI image
Sanskriti Gupta The NorthCap University Alzheimer, fMRI, Deep Learning
Gaurav Gupta USC Viterbi School of Engineering Alzheimer
Rishab Gupta SUNY Downstate Medical Center Alzheimer Disease, Outcome, ethnicity
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
gaurav gupta Shoolini University Alzheimer image segmentation machine learning
Aarzu Gupta UCSF Alzheimer's, gender
SHLOMIT GUR Penn State University Evolving functional connectivity analysis, machine learning, graph theory
Robert Gurke University Frankfurt homocysteine, lipidomics
Mahmut Edip Gurol Massachusetts General Hospital CAA, cortical thickness, controls, AD
Jose Gutierrez Columbia University arterial diameters, beta amyloid, tau
Jessica Gutierrez 1995 machine learning; predictions;
Carlos Gutierrez Imij Inc Structural MRI
Benjamin Gutierrez Becker Herr AD, MCI, Deep Learning, Early Prediction
Nuria Gutiérrez Sánchez Universidad Politécnica de Madrid Research, neuroloimaging
Boris Gutman University of Southern California DTI, diffusion MRI, Alzheimer's, human connectome
David Gutman EMORY UNIVERSITY mri dti adni
Holly Guvenli Okan University MCI, fMRI, entorhinal cortex, hippocampus
wang h qfnu research
Q H Southern Medical University multi-modality, radiomics
x h xia men university Alzheimer’s disease
Vanamala H Rajanna PES University texture, connectivity
Jarrod Haas Simon Fraser University imaging, computer vision, synthetic data, machine learning
MARYAM HABADI UNIVERSITY OF SOUTH FLORIDA Statistical Modeling for Alzheimer’s Disease
Christian Habeck Columbia Un multivariate analysis, ROC curve, replication
Mohamad Habes University of Pennsylvania AD-like patterns, Brain Aging, White Matter Hyperintensities
Mallory Hacker Vanderbilt University Medical Center PDRP, PDCP, ADRP, FDG-PET
Adva Hadar Tel Aviv University, Sackler School of Medicine Alzheimer diseae, biomarkers
mohsen hadi shahid beheshti university of tehran alzheimer
Ravi Hadimani Virginia Commonwealth University Anatomically realistic head models, 3D head models, Brain phantoms
Maryam Haghshomar Tehran University of Medical Sciences Machine learning, Alzheimer disease, classification
Jarang Hahm Dongguk University Ilsan Hospital MCI, AD
Alice Hahn Samsung Medical Center Alzheimer's
Yan Hai Georgia state university confidence interval, sensitivity
Yang Hai Central South University pre-trai, research
Thaddeus Haight UC Berkeley path analysis; amyloid; FDG-PET; longitudinal study
Sun Haijing Northeastern University sunhaijing798010
Ye HaiLi CASIA CV
habtu hailu Mangalore university medical image
wu haitao University of Chinese Academy of Sciences wht2631342
Jiang Haitao USTC None
wang haixing Southeast University deep learn , MRI
Adam Hajari Pandora Media classification sampling
ihab Hajjar Emory Univeristy inflmmationDTI
hamid hakim Amirkabir Functional connectivity , fMRI
zahra hakimelahi islamic azad university tehran branch idea-alzheimer's disease
hamed hakkak Islamic Azad University mri image
Jonathan Hakun Pennsylvania State University T2DM MCI AD DMN insulin resistance
Kim Hakyeong Seoul National University Hospital alzheimer's disease
Omar Halawa Harvard Medical School IADL, neuropsychiatric symptoms, tau PET
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
Andac Hamamci Yeditepe University VBM teaching
Shah Muhammad Hamdi Georgia State University functional brain networks, mildly cognitive impairment, graph data mining
Fadel Hamed Universidad de Granada research matlab algorithm
Rubi Hammer Assaf HaRoffe Hospital Aging
Tyler Hammond The University of Kentucky cognitive reserve, Alzheimer disease, aging, DTI, MRI
Sultonmurod Hamroev Anhui University of Technology MRI, Alzheimer's, Neural Networks
hentabli hamza Universiti Teknologi Malaysia medical image segmentation, Alzheimer’s Disease
Maryam Hamzelu Tarbiat Modares University Deep learning, machine learning
Kun Han Harbin Engineering University Deep learning; AD
Ruizhi Han University of Macau machine learning,Disease diagnosis
Hongjuan Han Shanxi Medical University AD data
Liang Han Chongqing University early detection, MRI, MCI, AD, Artificial Intelligence
Deng-Yu Han National Taiwan University Hospital nighttime behavior; sleepiness; beta-amyloid; PET.
Duke Han USC cognition, neuroimaging
Xiangmin Han SHU deep learning ,machine learning
Xiangmin Han SHU DNN
HioBeen Han KAIST None
fei han Shanghai Maritime University Alzheimer’s disease , mild cognitive impairment ,machine learning approach
Shizhong Han The University of Iowa GWAS, heritability, sMRI, and fMRI
Yu Han University of Vermont machine learning, feature prediction, diagnosis detection
Palak Handa Mody University of Science and Technology research
Robert Handsaker Broad Institute copy number variation, disease association
Francis Hane Lakehead University AD prediction, APOE4, Bayesian
Alexandru Hanganu University of Montreal T1, fMRI, rsfMRI, DTI
sahar hanifi Amirkabir University of Technology datamining - MRI
Bernard Hanseeuw Massachusetts General Hospital Striatum hippocampus
Adam Hansen University of Minnesota fMRI
Maria Hansen Technische Hochschule Mittelhessen Alzheimer's Disease, Neuronal Networks
Kevin Hanson University of Florida Machine learning, prediction, TBI, APOE, biomarkers
Catherine Hanson Rutgers University fMRI, brain networks, cognitive
SOURABH HANWAT Christ university bangalore image processing
Xu HanXiao Xidian University risk gene,biomarker,
Wang Hao Tianjin University image processing ;machine learning;computer aided system
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 Haodong Northwestern Polytechnical University 6560065
Sun Haonan Northeastern University Alzheimer's disease
Matthew Hapenney USC glucose, pet analysis
Clara Happ Ludwig-Maximilians-University Munich Functional Data Analysis, Functional Principal Component Analysis
Rafi Haque Emory University Alzheimer's, Biomarkers, Cognitive Asessments
Oscar Harari Washington University in St Louis Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau
Sethulakshmi Haridas Viswajyothi College of Engineering and Technology Alzheimers disease stage recognition
Ankur Haritosh Jaypee Institute of Information Research, Brain diseases,classification
deidre harp AU late-life depression
deidre harp AU late life depression
Amal Harrati Stanford University Genetics, using ADNI data as a teaching example, Friday Harbor
Michael Harrington Huntington Medical Research Institutes Preclinical AD, neurodegeneration, MRI, CSF, amyloid
Jacqueline Harris University of Calgary Machine Learning, Neuroimaging, Psychiatry
Breanna Harris Texas Tech University cumulative stress, Alzheimer's disease, biomarkers, cognitive function
Marc Harrison Stanford University resting-state fMRI, community detection
Krysten Harvey Vanderbilt University Machine learning, neural network
Danielle Harvey Unversity of California, Davis biostatistics
Omar Hasan McGovern Medical School Brain Volumetry, Axonal Integrity, Diffuse Tensor Imaging, Cloud Imaging
Khader Hasan University of Texas Health Science Center at Houston diffusion tensor, CSF
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
nazi hashem azarbaijan university alzheimer dataset
Arsalan Hashemiaghdam Yale University Cognition, Alzheimer's disease
Jakub Hasiec Warsaw School of Economics Predictive modelling, data mining, Alzheimer's disease
Nada Hassan Ain Shams university Bioinformatics , Machine learning framework for early MRI-based Alzheimer's con,
Basma Hassan Faculty of Engineering-Cairo University Image Registration
Hamid Reza Hassanzadeh Georgia Institute of Tech Deep Learning, Multi-modal prediction
Kilian Hasselhorn University Koblenz-Landau power analysis; starting point
Nikki Hatamian University of California, Irvine diabetes, Alzheimer's, hippocampus, cortical atrophy
Sean Hatton UCSD MRI, data harmonization
Ghazal Havoutis Nova Southeastern University biomarker, diagnostic performance, Alzheimer's detection, MCI
Toshihiro Hayashi University of Tokyo MRI, psychology, biomarker
Jasmeet Hayes The Ohio State University Parkinson's disease; cortical thickness; genetics
Chris Hayward Newcastle University Cognition, Structural connectivity, Brain, MCI, IQ
RUHUL AMIN HAZARIKA NEHU Alzheimer detection using brain MRI
Nalini Hazra USC Alzheimer's
Qiong He Zhongshan Hospital, Fudan University cerebral metabolism,PET-CT,AD
Yao He University of Utah PET, FDG-PET, Focal AD
Lei He Sun Yat-sen Memorial hospital Alzheimer's disease
Ke He Tsinghua University Registration, deep learning
Shuting He State Key Laboratory of Industry Control Technology, College of Control Science AD survey
Jishuai He Northeastern University Of China personal study purpose
xiaoxi he Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji 861130
mengya he Sichuan University medical research
zhi he SYSU classification
qi he Tianjin University method evaluation
Jie He Ohio State University alzheimer's disease, amyloid beat
xiaozheng he zhujiang hospital PD csf BIOMARKER
Tianshe He UNC CHapel Hill community detection, networks, clustering
Huiguang He Institute of Automation, Chinese Academy of Scicences fMRI, DTI, Medical Image Processing
zhang he Chongqing University of Posts and Telecommunications image-to-image, multi-modal medical image
Xuanning He Australian National University Dementia, Cognitive Function, Lifestyle, Cognitive Reserve
Linchen He New york university Association test, binomial mixture model, complex disease, genetic heterogeneity
roh hedayati Esfahan University MCI+MRI+PET
Trey Hedden Massachusetts General Hospital Genetics, using ADNI data as a teaching example, Friday Harbor
Dennis Hedderich Technical University of Munich Magnetic resonance imaging, cortical thickness, positron emission tomography
Adrian Heeger University Hospital Düsseldorf, Germany brain atrophy, automated workflow, brain aging, brain volume
Joseph Heenan IQVIA Statistical relational learning, Ensemble Methods
Mohamed Hefny Queen's University Medical Data Analysis, MUltisource data integration, Disease Understanding
Madhusudan Hegde Stanford University Research
Brianna Heggeseth Macalester College teaching
serve heidari SBMU fMRI
Ashley Heinson UCB Clustering, Biological Mechanism, Neurodegenration
Luca Heising Tilburg University Machine learning, Deep learning, Early detection, Alzheimer's
Ali Hejazizo University of Alberta machine learning
hadeer helaly mansoura alzheimer
Samuel Henderson Accera Inc APOE, ADAS-Cog, MMSE
Judith Henf University Medicine Rostock cognitive reserve, hippocampal MD, healthy older adults
Adriane Henriques Universidade de Brasília Alzheimer disease, CSF, imaging, biomarker
Rui Henriques Instituto Superior Técnico, Universidade de Lisboa Classification, Clustering
Claudio Henriquez University of Manchester Alzheimer disease, MRI, PET, QDA, LDA, automatic diagnosis
Paul Herent Owkin #Brain age prediction #deep learning #CNN #machine learning #MRI
Lindsey Hergesheimer USC- KSOM data visualization
Renato Hermoza Aragones The University of Adelaide Deep learning, reinforcement learning, survival prediction, biomarkers
Monica Hernandez University of Zaragoza Computational Anatomy
Raidel Hernandez Florida State University Training a convolutional neural network to recognize types of brain damage
Hernan Hernandez Concepcion University MRI, fMRI, dFMI, Ph.D
Gerson Hernandez University of Arizona Alzheimer's, biomarkers, neuroimaging
Samuel Hernandez Weill Cornell Blood, 850k, bisulfite sequencing
Yamid Fabián Hernández Julio Universidad del Sinú Fuzzy inference systems
Hector Hernandez Saucedo University of California, Davis cognitive reserve, usin ADNI data as a teaching example, Psychometrics Workshop
Liz Herrera ITESM Reconstruction MRI
Nitsa Herzog Birkbeck University of London Mild cognitive impairment, Alzheimer
Nitsa Herzog Birkbeck University of London MCI, Alzheimer, machine learning
Jonathan Hess SUNY Upstate Medical University Mega-analysis, gene expression, classifiers, machine learning
Kilian Hett University of Bordeaux Patch-based biomarkers, hippocampus, hippocampal subfields
Kelsey Hewitt Mercer University Education, Depression
Nargess Heydari Beni University of Waterloo Brain, Imaging, MRI, CT, PET
Derrek Hibar Janssen R&D PET, PIB, AV45
Derrek Hibar Genentech, Inc imaging genetics, cognitive decline, robust statistics
Steven Hill University of Cambridge risk stratification, risk prediction, statistical methods
James Hill Northwestern University Predicting Brain Age, Predictive Models,A lzheimer Detection, Brain Disorders
Tanisha Hill-Jarrett University of Michigan cognitive reserve, using ADNI data as a teaching example, psychometrics workshop
Frank Hillary Pennsylvania State University hyperconnectivity, MCI, risk, neurodegeneration
David Hilman Imperial College London Random Forest, KNN, SVM, Progression
Naoki Hirabayashi Osaka Prefecture University Neural Network
Daisuke Hirahara Kagoshima Medical Technology College artificial intelligence
idir hired fortia FASTER R CNN
Toru Hironaka Massachusetts General Hospital Machine learning
Robin Hirt KIT deep learning, transfer learning, artificial intelligence
Yi-Yun Ho Cornell University machine learning
Ngoc-Huynh Ho Chonnam National University Alzheimer’s disease diagnostic; convolution neural network; multimodal; PET; MRI
Dylan Ho CUHK Atlas, AD, Asia
Jelte Hoekstra GoDataDriven alzheimer, explainability, cnn
John Hoffman University of Utah FDG-PET, SPM group analysis
Stefan Hoffmann Friedrich Schiller University medical image fusion, deep learning feature selection
Malte Hoffmann Martinos Center longitudinal morphometry Freesurfer
Timothy Hohman Vanderbilt University School of Medicine Genetics, Resilience, Asymptomatic,
Daniel Holder Merck Research Laboratories Biomarkers
Jess Holguin (OTD... not PhD) University of Southern California neuroimaging informatics genetics
Sean Holmes Invicro Hippocampus, Ventricle, MR, freesurfer
Robin Holmes University Hospitals Bristol Machine learning, VBM
Henne Holstege Amsterdam UMC Genetics, Alzheimer
yi hong the University of Hong Kong fMRI ADHD
Chae Moon Hong Kyungpook National University Hospital Amyloid, Alzheimer, white matter hyper intensity
Ye Hong Sichuan University brain connectome
chen hongjie Xiamen University Of Technology MRI Reconstruction
zou hongliang Nanjing University of Science and Technology research
Lawrence Honig Columbia University amyloid
Bradley Hooker AbbVie Machine Learning Texture-Based Analysis tau PET
Joost Hop University of Groningen MRI CT brain phantom
Paramate Horkaew Suranaree University of Technology Image Processing
Russ Hornbeck Wash Univ Sch Med - STL Alzheimer, MRI, PET, Pipeline, SUVR. Binding Potential, FreeSurfer
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
Jiaxin Hou Northeastern University Computer-aided Diagnosis of Alzheimer's Disease
Xianxu Hou Shenzhen University image to image translation
Tingting Hou 河南大学 Data sets
Fatao Hou Shanghai Jiao Tong University Alzheimer Disease, Mild Cognitive Impairment, Magnetic Resonance Imaging
Katherine Houghton RTI Health Solutions biomarker, natural history, cost effectiveness
Imane Houmir Miss Alzheimer's symptoms
Marion Houot APHP course statistics
Erin Householder Washington University School of Medicine : As the coordinator for the ADNI NPC I will be responsible for collecting ADNI
Naomi Hoven Tilburg University thesis, master
James Howlett Medical Research Council EPAD Risk Modelling
Will Hsia Tsinghua University deep learning, segmentation
Jasmine Hsiao ACER cognitive frailty
Ing-Tsung Hsiao Chang Gung University Feature Extraction; Early Diagnosis
John Hsiao National Institute on Aging usability improvement
Ping-Chen Hsieh National Taiwan University adnideeplearning
Hsiang Hsu Harvard stage (normal, MCI, or AD), cognitive tests
Yi-Hsiang Hsu HARVARD MEDICAL SCHOOL GWAS, NGS, Machine learning, risk prediction
Chih-Chin Hsu National Yang Ming Uniersity lifespan, diffusion, sex difference
TING JUI HSU National Chiayi University timmy70267
Li-Ming Hsu UNC at chapel hill gaphy theory, machine learning
Zong-Kai Hsu Graduate Institute of Biomedical Sciences, China Medical University 2alxggdu
Eugene Hsu Massachusetts General Hospital fMRI Downs MCI AD
Rui Hu Oklahoma State University privacy, federated learning
QIntao Hu UCAS Alzheimer disease
Yanshi Hu Zhejiang University Parkinson's disease / motor symptoms, Alzheimer's disease
Nan Hu Genentech biomarker; disease progression
Lingjing Hu Capital Medical University Texture analyze, VBM
Edgar Hu East China Normal University Sky8023seA
William Hu Emory University Biomarkers, plasma, RBM
Qing Hu Northwestern University Machine learning solution, risk of Alzheimer
yuanyuan hu Yunnan University deep learning, medical images, computer-aided diagnoisis system, mental health
xiaoyu hu peking university fpca
Tao Hu Delft University of Technology Alzheimer's disease detection via fMRI image
Shuwen Hu Queensland University of Technology Longitudinal Machine Learning Method
Shunbo Hu Linyi University Image registration and segmentation
Helen Hu C2N Diagnostics, LLC fluid biomarkers
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
wanqi hu xmu AD;mci;deep learning
Yu Hu South China University of Technology Alzheimer's Disease detection; machine learning; data mining
Jianping Hu Fujian meidcal university ASL
Tom Hu UC Berkeley CNN, Tensor, Regression, Deep Learning
jiaxin hu Zhongan Company ADNI
Weichu Hu Nanchang University deeplearning GAN
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
Fei Hua Applied Biomath Alzheimer's Disease, mechanistic model, Abeta
Alexandra Huamani Pontificia Universidad Católica del Perú CNN, MRI, Brain
lao huan GuangXi University deep learning;medical images;Alzheimer's disease
Tao Huan The Scripps Research Institute metabolomics
Xianzheng Huang University of South Carolina Mode regression, prediction, regressor
Chin-Wei Huang National Cheng Kung University alzheimer's disease
He Huang University of Queensland m6A, AD
Shaojun Huang Shanghai Maritime University fMRI; brain network; disease classification
Jianpan Huang City University of Hong Kong Alzheimer's disease, deep learning
Yuhui Huang University of North Carolina at Chapel Hill Machine learning, image recognition, natural language processing
Sikai Huang Columbia University ALzheimer's Disease; Deep learning
huaidong huang The Second Affiliated Hospital of Shantou University Medical College, China Alzheimer’s disease, machine learning
He Huang Lehigh University 3D skull Stripping
yi huang institute of automation, Chinese academy of sciences waite
Yechong Huang Fudan University MRI, Machine Learning, AD, MCI
Zhen Huang Tongji University MOCA
Teng-Yi Huang Taiwan Tech deep learning
Jingwen Huang University of Electronic Science and Technology machine learning
Yechong Huang Fudan University MCI, Machine Learning
shangfo huang Beihang privacy-preserving
YUE HUANG XIAMEN UNIVERSITY MACHINE LEARNING, DEEP LEARNING, MEDICAL IMAGE ANALYSIS VALIDATION
Li Huang Institution 123456
Hsiao-Chen Huang UCSD brain image, VR, rendering
Haiqing Huang University of Pittsburgh amyloid, PET
Baron Huang Northwestern Polytechnical University Deep learning,Recognition,MRI,Hippocampus
Chao Huang UNC multiscale adaptive regression model shape analysis
Rubby Huang Cornell University 1234567890
Sihui Huang The University of Texas at Dallas Big Data, Machine Learning
Biwei Huang Carnegie Mellon University Alzheimer diagnosis; atypical causal connectivity; longitudinal analysis
Susie Huang Massachusetts General Hospital Deep learning, super-resolution
Xifen Huang Yunnan Normal University gamma frailty model
Jenny Huang cyagen AI Medical image
Meiyan Huang Southern Medical University association anlysis
Yu-Hao Huang National Taiwan University VGG16, transfer learning, Resnet
Peiyu Huang Zhejiang University CBF, network
Qi Huang Huashan Hospital spatial normalise
Jianpan Huang City University of Hong Kong MRI, AD, deep learning
Cedric Huang UESTC Machine learning
Henghua Huang Beijing University of Chemical Technology GAN
Zhiyue Huang MRC composite
Yuhan Huang National Cheng Kung University Alzheimer's disease, Data mining
weijie huang Beijing Normal University AD biomarker machine learning
Sikai Huang Columbia University AD, CNN
Yunyou Huang Institute of Computing Technology, Chinese Academy of Sciences classify, predict, Alzheimer's disease
Edward Huang University of Illinois at Urbana-Champaign Network integration, EMR analysis
Malo Huard Paris-Sud Deep learning
Manuel Huerbin MIAC AG Morphometry
Andrew Hufton Springer Nature data-peer-review metabolomics
Jasmine Hughes Insight Data Science machine learning
Jacob Huh UC Berkeley anomoly detection
Frank Hui Burnaby North Secondary School Convolutional Neural Network, Glioblastoma Multiforme, MRI scans, healthy brains
Willem Huijbers Tilburg University methods development, data science
Sjoerd Huisman Delft University of Technology imaging genetics, gene expression, bioinformatics, biostatistics
Stanley Hum Montreal Neurological Institute and Hospital Rasch analysis olfactory cognitive imaging
Noemi Hummel Analytica Laser disease modelling
Na-Teng Hung University of Illinois at Urbana Champaign computation
Xin Hunt SAS Institute Inc. machine learning, transfer learning, predictive model
Zhiguang Huo University of Florida statistical methodology, clustering algorithm, Alzheimer’s disease subtypes
Zhiguang Huo University of Pittsburgh Alzheimer's disease, metabolomics
Hans-Jürgen Huppertz Swiss Epilepsy Centre MRI postprocessing, voxel-based volumetry, probabilistic brain atlas
Aamira Huq University of Melbourne/ Royal Melbourne Hospital Dementia polygenic risk score, resilience
Vojtech Huser National Institute of Health clinical research informatics, common data elements, data science
Zain Hussain University of Edinburgh Machine Learning
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
Jihye Hwang Asan medical center time analysis
Seong Jae Hwang University of Wisconsin-Madison longitudinal, connectivity, amyloid, deep learning, uncertainty estimation
Jaeuk Hwang University of Utah brain age
Emma Hyberts Boston University vascular health, Alzheimer's Disease
JUNGMOON HYUN Northwestern University- Feinberg School of Medicine Aging, dementia, brain, clinical data
kim hyunwoo korea university brain recognition Alzheimer
Febin I P NITK, Surathkal, India restoration
Leonardo Iaccarino University of California San Francisco dementia, age, clinical progression, MRI, FDG-PET, diagnosis, prognosis
alfredo iacoangeli king's college London telomere, bioinformatics , NGS , WGS
Krystal Iacopetta University of Adelaide Neurodegenerative Disease, neuroinflammation, vitamin D
Esther Ibanez ISI Foundation topological data analysis
Aliaa Ibnidris University of Geneva MCI, AD, Hippocampal atrophy
Hamza Ichchou Ecole Centrale de Nantes Deep learning, machine learning, MRI
Samuel Iddi University of Ghana Alzheimer's, Joint Models, Prediction, Statistical models
Samuel Iddi Alzheimer's Therapeutic Research Institute of USC ADNI, TADPOLE, Alzheimer's
NAJLAE IDRISSI FACULTY OF SCIENCES AND TECHNIQUES BM MRI, AD, segmentation, classification
Alexandru Iftimie Politehnica University of Bucharest Dep learning
Takuma Igarashi Toshiba Medical Systems Corporation Volumetry, multi-contrast analysis
Kay Igwe Columbia University WMH, Spectrum, MRS, MRI
Ryoko Ihara The University of Tokyo preclinical AD, amyloid PET, CSF biomarker, clinical outcome
Tetsuya Iidaka Nagoya University, Graduate School of Medicine resting state, support vector machine
HAOUAS IKBEL ENISo ALZHEIMER
Otto Ikome Jackson Sate University Social determinants
Toshikazu Ikuta University of Mississippi DTI; tractography; genetics
Cecilia Im University of California San Francisco 3D Printing
Livia Imami Bisopective 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
Ananda prasad Inguva IIITG CNN
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
Kenji Ishii Tokyo Metropolitan Institute of Gerontology J-ADNI, PET, MRI
yosuke ishii Stanford University age
Makoto Ishii Weill Cornell Medical College biomarkers, metabolic hormones, preclinical
David Iskander mapd medical data
Jyoti Islam Georgia State University fMRI, Alzheimer’s Disease, Deep learning, CNN
Mustafa Ismael Babylon University image processing, pattern recognition
Mohamed Ismail TU-Darmstadt Early diagnoses alzheimer master thesis
BOUKLI HACENE Ismail Tlemcen university alzheimer, ADNI,PET,IRM
Aya Ismail University of Maryland Machine learning , classification
Elvin Isufi Tu Delft detecting anomalies over networks
Ivan Itzcovich Instituto Tecnológico de Buenos Aires Deep Learning, Convolutional Neural Networks, Artificial Intelligence
Jana Ivanidze Weill Cornell Medicine tau PET, amyloid PET, MMP-9, multimodal biomarkers
Ilinka Ivanoska Faculty of Computer Science and Engineering, Skopje graph theory, embeddings, fmri, dti
Tyler Ivester Massachussetts General Hospital Vascular, biomarkers, Alzheimer's
Tyler Ivester Massachussetts General Hospital Vascular, biomarkers, Alzheimer's
Alexander Ivliev Clarivate Analytics amylin pathway
Hirotaka Iwaki National Institute on Aging, National Institutes of GWAS
Yutaro Iwamoto Ritsumeikan University segmentation, image restoration, unsupervised learning
Atsushi Iwata The University of Tokyo J-ADNI
Akshay Iyer Worcester Polytechnic Institute Alzheimers, brain MRI scans, image analysis, artificial intelligence
Walter Izquierdo Florida International University BOLD, fMRI, brain, Alzheimer, epilepsy, PCA, ICA
Manjunath J Candiphi Healthcare Pvt. Ltd Alzheimer,MRI scans
dheeba J Vellore institute of technology machine learning
Emimal Jabason Concordia Deep Learning
Emimal Jabason Concordia Image Processing
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
sv jack individual MRI
Chris Jackson Pieces Technologies, Inc. alzheimer's early detection deep learning neural networks
Samson Jacob New York University School of Medicine bioinformatics
Jenith Jacob KCE Matlab
Diane Jacobs UC San Diego MCI, Cognitive Composite, Rate of Change
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.
Shruti Jadon Quantiphi Inc Research
Ralf Jaeger Eli Lilly and Company Limited Pharma, Pre-clinical Research, Neuroscience/AD, Statistics
reza jafari iauctb ADNI,ANN
Kourosh Jafari-Khouzani Massachusetts General Hospital FLAIR
Bushra Jaffar University of management and technology, Lahore , Pakistan 1234
Suresh Jaganathan SSN College of Engineering Deep Learning, Stacked Auto Encoder, Multilayer Perceptron
William Jagust UC Berkeley PET, ROI
Neda Jahanshad USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of t MRI, DWI, genetics
zahra jahanshiri tarbiat modares university image mining, age,AC
Joseph Jahr Molecular NeuroImaging CSF, PET, Florbetapir
Sargam Jain University of California, Berkeley PET, MRI, Amyloid Hypothesis, dimension reduction
Anubhav Jain IIIT-Delhi brain-images, Deep Learning, Course-project
Vikas Jain IIIT Vadodara Machine Learning, Random Forest
Manju Jain Meerabai Institute of Technology alzheimer's, spm12, SMRI data
KAJAL JAIN KLE TECH project
Ayush Jaiswal USC Structural MRI, MRI, Deep Learning, Machine Learning
Goran Jakimovski KTI Deep Neural Networks, computer algorithms, Machine Learning
Nikša Jakovljević University of Novi Sad, Faculty of Technical Sciences assistant professor, signal processing, pattern recognition, programming
Sharna Jamadar Monash University parenthood, cortical thickness, connectivity
Mahnaz Jamee INRP resting state fMRI, functional connectivity, mild cognitive impairment, DMN
Alex James Nazarbayev University imaging
Emmanuel Jammeh University of Plymouth demenia, parkinsons, bioinformatics, machine learning, decision support systems
LUIS JAÑEZ UNIVERSIDAD COMPLUTENSE DE MADRID machine learning, predictive models, SVC, DNN, Alzheimer's disease,
Jae-Won Jang Kangwon National University Hospital Visual rating scale, Brain MRI, Alzheimer's disease
Jinseong Jang Yonsei University deep learning
Cheongjae Jang Seoul National University DTI, positive-definite matrices, differential geometry, deep learning
Jinhee Jang Seoul St. Mary's Hospital, College of Medicine, The Catholic Univeristy of Korea Deep learning, Atrophy, visual assessment
Hyemin Jang Samsung medical center, Seoul, Korea cognition, Alzheimer's disease, amyloid, tau
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
Olin Janssen Maastricht University amyloid, alzheimer, lifestyle, comorbidities, demographics
Mohamed Ali Jarboui Department of Preclinical Imaging and Radiopharmacy. UKT metabolomics
Vinicius Jardim University of São Paulo Graph Signal Processing; Network diffusion, inverse problem
Mojib Javadi Indoc Research/OCBN data structure, data sharing, data visualization
farshid javdani Jahrom University of Medical Sciences Alzheimer’s disease;Inflammation;Nervous system
Monica Javidnia University of Rochester imaging, parkinson's, alzheimer's, dementia
supraja jayakumar NA deep learning models, alzheimers
Premaladha Jayaraman SASTRA University image analysis, feature extraction
Kharne Jean University of Georgia APOE e4 functional independence white matter integrity
Vijay Jeaykumar SSN College of Engineering Image Retrieval
Angela Jefferson Boston University Cognitive Performance, Aging
Irina Jelistratova German Center for Neurodegenerative Diseases (DZNE) amyloid pathology, amyloid-sensitive PET
Stephen Jenkins University of Strathclyde Functional connectivity analysis, cortical thickness, disinhibition, cognitive
Lisanne Jenkins Northwestern cortical thickness, neuropsychiatric symptoms
Mingyeong Jeon Chonbuk National University GAN(Generative Adversarial Networks), Classification, Diagnosis
Seun Jeon Montreal Neurological Institute & Hospital, McGill University reproducibility
SEUNG YEON JEONG KONYANG UNIVERSITY deep learning
JinGyo Jeong Hanyang University Alzheimer
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
zilong ji Beijing University of Technology machine learning diagnosis
Zhiwei Ji The University of Texas Health Science Center at Houston multi-omics, systems biology, predictive model
huanhuan ji Guilin University of Electronic Technology classification
Hao Ji California State Polytechnic University, Pomona white matter hyperintensity, segmentation
huanhuan Ji Guilin University of Electronic Technology classification
Chenhong Ji Leids Universitair Medisch Centrum registration
chu jiahuan Donghua University AD,MRI,Clinical data,Multi-class
hao jian Beijing University zhongwen
Zheng Jian XiDian University AD classification
Shaozhi Jiang University of Massachusetts Lowell Prediction, Deep Learning, Computer Vision
li jiang BEIJING UNIVERSITY OF TECHNOLOGY image fusion,pet
Richard Jiang Dr Machine Learning, Deep Learing
Teng Jiang Nanjing First Hospital Alzheimer's disease, Neuroinflammation, Biomarker
Peihao Jiang Shaanxi Normal University brain function networks Alzheimer's disease
Wenhao Jiang The University of Hong Kong MRI, medical imaging, motion removal
Lingxiang Jiang Taizhou First People's Hospital Vascular endothelial growth factor; neurogranin; synaptic dysfunction; Alzheimer
jingwan jiang ShenZhen university neural network;fMRI
shan jiang Sensetime Innovation research
Yueyu Jiang Sun Yat-sen University CNN, medical image, Alzheimer's disease
Xue Jiang College of Staten Island Computer Vision, Image Processing, Neural Networks
Kening Jiang Johns Hopkins Bloomberg School of Public Health N/A (only for study)
Wenjing Jiang Northeastern University fMRI, structure MRI, MMSE, MCI
Yuxi Jiang University of Warwick joint modelling, longitudinal process, event time analysis
Xiong Jiang Georgetown University Medical Center MRI, fMRI, Alzheimer's disease, Demographics, ApoE, PET, ADAS, MMSE
Junjun Jiang Harbin Institute of Technology image processing, classification, machine learning
Curry Jiang Central South University deep learning, medical image processing
Hongliang Jiang Southease University, China AI, machine learning
Zhenhuan Jiang Shanghai Jiao Tong University School of Medicine GWAS study for patient subtyping
Shu Jiang Harvard Medical School out-of-sample validation
Biguo Jiangnan Lanzhou University research
cai jiatong Shanghai Maritime University pet
zhang jiaxu jiangnan university medical image segmentation
wang jiayi BUAA Deep reinforcement Learning,image recognition
Han Jiayi FuDan Univesity TADPOLE; Machine Learning; Alzheimer's Disease; Mild Cognitive Impairment
Li Jie Beijing Jiaotong University machine learning;early diagnoses;AD
ji jie Shantou University, GuangDong Province ,China deep learning
Juan Ramon Jimenez Alaniz Universidad Autónoma Metropolitana Iztapalapa image segmentation, pattern recognition
Carolina Jimenez Gomez Universidad Tecnológica de Pereira DTI, neural connections, quantitative analysis, degree project
Adolfo Jiménez-Huete Hospital Ruber Internacional Differential diagnosis; Gray matter volumetry
Antonio Jiménez-Marín Biocruces multi-scale brain connectivity, AD severity stages, neuropsychology
Koji Jimura Keio University resting state fMRI, behavioral testing, functional connectivity
Cheng-Bin Jin Inha University MR image synthesis; cycle consistent; generated adversarial networks; CT-based r
Xuehong Jin Hebei Normal University jxhnm104542@j
Liu JIn Northeastern University 1998918ZMB
Yan Jin University of California, Los Angeles DTI
Xuehong Jin Hebei Normal University jxhnm104542@j
Ye Jin JIlin University AI,Data Mining
Chengshi Jin UCSF ADNI datasets
Zhuochen Jin Tongji University jzc5159746
YIn JIn Justice Resource Institue PET Depression, antidepression medications
Honghe Jin UNIVERSITY OF GEORGIA FMRI, DTI
Deepak Jindal mait deep learning project
Liu Jindong Hunan normal university Function Link
Liu Jindong Hunan normal university Function Link
Liu Jinduo China brain network; effective connectivity; Bayesina network; AD
Liu Jinduo Beijing university of technology fMRI; AD;brain effective connectivity network;Bayesian networks
Bin Jing Capital Medical University fs-fMRI, sMRI
zhang jing nanchang university adni
pei jingjing yunnanminzu university Research, Graduation thesis design
wang jingqiang Zhejiang University Of Technology medical image analysis
feng jinjia renmin university of china paper verification
sun jinkao Beijing University of posts and telecommunication privacy
Chen Jinqiu Guizhou University alzheimer1992
Sangkyun Jo KAIST Network Analysis; Graph Theory; Machine learning; Spinal cord;
Jun Jo Griffith.edu.au Deep Learning
Arthur Jochems Maastricht University Deep learning, radiomics, automatic segmentation
Karan Jodha Vellore Institute of Technology, Vellore CT-Scan,Alzheimer's disease
Pierre-Marc Jodoin University of Sherbrooke Diffusion, free water, hyperintensities, machine learning
Per Johansson Fleningevägen Centrum f Byggnadsvård Alzheimer, biomarker, diagnostic, hormones
Jubitta John Rajagiri school of engineering and technology,Kochi Deep CNN , Alzheimer ,MRI , multi-class classification
Stian Johnsen BrainMiner Ltd. CAD, AD, Software validation
David Johnson UC Davis Cognitive Impairment, longitudinal decline, Neuropsychology
Caleb Johnson The University of Texas at Austin University Student Research
Sterling Johnson University of Wisconsin-Madison tau, amyloid, pre symptomatic
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
Erin Jonaitis University of Wisconsin-Madison education, reproducibility, open science, computing
Lars Jonasson Umeå University FDG imaging methods
Richard Jones Brown University testing, practice effects
Sheldon Jordan Neurological Associates of West Los Angeles fMR, Resting, BOLD, Anatomical, ASL, DTI
Ryan Jordan Brain Health Registry (UCSF) ADNI, BHR
Jane Joseph Medical University of South Carolina rsfMRI, graph theory, machine learning
ANITA JOSEPH RAJAGIRI SCHOOL OF ENGINEERING BRAIN TUMOR
Anthony Joseph Unite Genomics, Inc. GWAS, disease progression, drug response models, machine learning, image analysi
Joy Sebastian Prakash Joseph Irudayaraj Chettinad Academy of Research and Education fMRI, DTI, Conn, DSIStudio
Shantanu Joshi LONI UCLA cortical distributions
Dhanashri Joshi PICT,Pune demo
Jitesh Joshi Tata Elxsi Ltd DeepLearning, CNN, 3D-CNN, Transfer-Learning, AD, MCI, Early Stage Detection
Abhishek Joshi University of Washington computer vision
Anand Joshi USC MCI, cortical thickness
Abhinay Joshi Avid Radio-pharmaceuticals, Inc. flrobetapir
Himanshu Joshi National Institute of Mental Health and Neurosciences ApoE Neuroimaging
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
Wang Jun Xuanwu Hospital Affiliated to Capital Medical University AD,SCD,Neural imaging
Wang Jun LAN ZHOU UNIVERSITY w23161925
Jihoon Jun OCL fMRI, alzheimer
Dongjun Jung None sMRI
Wonsik Jung Korea University sMRI, Alzheimer's disease
Merel Jung Jheronimus Academy of Data Science Deep learning, Medical image-to-image translation
Wonmo Jung VUNO Alzheimer's Disease, Deep Learning
Jongsun Jung Syntekabio deep learning, hilbert, patient stratification, biomarker
Kwanghee Jung Texas Tech University Quantitative
Kwan-Jin Jung University of Massachusetts Amherst functional connectivity
Ho Yub Jung Chosun University localization, machine learning, neural network
Viv Junker Sheffield Institute for Translational Neuroscience Overview, Resources, AD, ALS, PArkinsons', MND
Wen Junling Shanghai university of traditional Chinese Medicine fMRI, hippocampus,functional connection
Li Junwei none fMRI ML
Roos Jutten VU University Medical Center Alzheimer's disease; composite scores; clinical progression
Yoon juyoung Hankuk University of Foreign Studies dementia, deep learning
Fong Jx UTM Deep Learning, Hippocampal
monika jyotiyana central university of rajasthan,Bandarsindri AD,neurodegenerative disorders,
RAGHAVENDRA K NIMHANS PET
gopinath k P.A.College Of Engineering and Technology alzheimer's disease detection
Vishnu K Jyothi Engineering College, Cheruthuruthy, Thrissur TADPOLE challenge,neural imaging,alzheimer's disease,
L K UoY BA47, Alzheimers, hippocampus
Aneesh K N Sri Jayachamarajendra college of engineering Deep learning, MCI, Alzheimers, AI
Shreya K R Indian Institute of Science, Bangalore Machine learning, predictive analysis, mild cognitive impairment
Iswarya K V Amrita Vishwa Vidya Peetham Complex network, diagnosis
RAMA KAALIA NANYANG TECHNOLOGICAL UNIVERSITY ADNI Genetic data, Gene Interactions
Neda Kaboodvand Karolinska Institutet functional connectivity; brain injury; neuropathological signs of AD
Mouloud Kachouane USTHB Alzhaimer dMRI DTI
Claus Kadelka Iowa State University topological data analysis, Alzheimer's disease
Kylie Kadey Wayne State University MCI, Apolipoprotein E, Body Mass Index, Alzheimer’s Disease, Risk Factors
Hafid Kadi Univ Dataminig
rahele kafieh isfahan university of medical sciences fmri, classification, graph
Bratati Kahali Centre for Brain Research IISc Cognitive scores, Clinical diagnosis, Demographics, Machine Learning
Zeynep Kahraman Boston University fmri, dynamical network, function states,
Li Kaicheng Zhejiang University 930606CC
Bernhard Kainz Imperial College London machine learning; decision support; automated diagnostics and prediction
Marcus Kaiser Newcastle University connectome analysis, computer simulations, network dynamics
Akihiro Kakimoto Hamamatsu Photonics K.K. FDG, amyloid
Lisa Kakinami Concordia University cognition; longitudinal; brain atrophy
Vandana Kale AISSMS IOIT MRI brain images
PADMA VASAVI KALLURU SHRI VISHNU ENGINEERING COLLEGE FOR WOMEN simulated puzzles,mind exercises
Meeta Kalra Concordia Univerity Tumour
TAE-EUI KAM UNC Deep learning, AD, MCI, Classification
sadia kamal Hallym University research
Takashi Kamatani National University Corporation Tokyo Medical and Dental University deep learning, prediction of onset, prediction of prognosis
Rohit Kamath Vanderbilt University Medical Center brain localization and brain lesions in Alzheimer's patients
Ocima Kamboj Indian Institute of Science ASL-Perfusion
Josh Kaminker Genentech clinical trial
Adel kamli Linfi laboratory deep learning
Faeza Kamran Shaheed Zulfiqar Ali Bhutto University of Science and Technology (SZABIST) Alzheimer's Disease Prediction
Chi Nok Enoch Kan University of Minnesota Deep Learning
Aytuna Kandemir Ankara University machine learning
Nagaendran Kandiah National Neuroscience Institute dementia, stroke, small vessel
Tomoki Kaneko shinshu university visual rating system
Gregory Kanevsky H2O.ai ML research automl
Jian Kang Arizona State University network mining
Hyeon Kang Institute of Convergence Bio-Health, Dong-A University ML, AI
Hyunseung Kang University of Wisconsin-Madison causal inference,
Hakmook Kang Vanderbilt University functional connectivity, spatio-temporal model
Hee-Ju Kang Chonnam National University Hospital, Gwangju, K MCI, AD, genetics, sequencing