There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
Investigator | Institution | Keywords |
---|---|---|
ANIMESH KUMAR -- | National College of Ireland | BRAIN AGE, MRI, DEEP LEARNING, PREDITION |
sakshiwala . | National institute of technology patna | mild cognitive impairment, resting functional MRI, brain functional network |
Thushara A | TKM College of Engineering | AD,MCI,Brain graph, rsfmri,DTI,Tractography |
a a | a | a |
Srinivasan A | CSIR-CMERI | Alzheimer's Disease |
shyna A | TKM | ASL,CBF |
Sai Darahas A | National Institute of Technology Andhra Pradesh | neuroimaging |
Dinu A J | Noorul Islam | AI,Alzheimer's disease |
sunija a p | National Institute of technology Tiruchirapallli | biomarker, OCT, artificial intelligence |
Anusha A S | IISc | Machine learning, Pattern identification |
Yassine Aakil | UMASS Lowell | AI, MRI, CT, Brain |
nima aalizade | rs | cnn |
Fatemeh Abadian | Iran University of Science and Technology | Deep learning, Weakly supervised, Classification, MRI |
Brennan Abanades Kenyon | Oxford Univerity | segmentation, volume estimation, FSL |
Hawraa Abbas | Kerbala University | Dementia classification |
Syed Qasim Abbas | La Trobe University, Melbourne | Discriminate Atrophy Localization |
ali abbasi | Urmia University of Technology | Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne |
Kainat Abbasi | Habib University | 3DCNN, Adam(), SGD() |
walid abbassi | esprim | 4MG69 |
abd elazeim abd alla mohamed nour | south east university | MRI,AD,MCI |
Moloud Abdar | Institute for Intelligent Systems Research and Innovation (IISRI) | deep learning, Fusion, uncertainty quantification |
Mohamed Abdelaziz | Shenzhen university | Alzheimer’s disease, multimodal data |
Eman AbdElhalim | Mansoura University | alzeihmar |
Moro abdelhamid | Ain Shams University | epistasis and SNPs |
Akram Abdelkarim | King Fahd University of Petroleum and Minerals | disease progression, time series analysis, MRI |
Shereen Abdelnabi | Humboldt Universität | Alzheimer's disease, Mprage, SWI, phase images, APOE-ε4 alleles |
Mohamed Abdelsalam | Mansoura University, faculty of Engineering | fractal analysis, biomedical engineering |
Mehdi Abdollahpour | Amirkabir university of technology-Tehran Polytechnic | Alzheimer’s disease, mild cognitive impairment (MCI), Deep Learning, CNN |
Yousry AbdulAzeem | Misr Higher Institute for Engineering and Technology | Alzheimer, CNN, deep learning |
Ahmed Abdulkadir | University of Freiburg | classification, machine learning |
Osama Abdullah | NYU Abu Dhabi | Freesurfer, DTI |
Azian Azamimi Abdullah | Universiti Malaysia Perlis | Alzheimer’s disease (AD), MRI, machine learning, prediction tool |
Mohammed A M Abdullah | Ninevah University | fMRI, machine learning, AD, classification |
Masahiro Abe | Juntendo University | Alzheimer's desease |
Ali Abedi | Toronto Rehabilitation Institute | Federated Learning, Healthcare Informatics, Medical Data Analysis |
Clement Abi Nader | INRIA | Alzheimer's disease Disease progression model Machine learning |
Tracy Abildskov | University Of Utah | Mild TBI |
Olamide Abiose | Stanford University | tau, PET, amygdala, stress |
Rahib Abiyev | Near East University | research |
Mohammed AboArab | Facullty of Engineering, Tanta University | deep learning, unsupervised learning, affine image registration, deformable imag |
Samaneh Abolpour Mofrad | Western Norway University of Applied Sciences | Alzheimer, Mixed effect model, Machine Learning, ventricle, Hippocampus |
vahid abootalebi | Yazd University | biological signal processing, Graph signal processing |
Mohamed Aborageh | Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) | Cognitive features, Longitudinal modeling |
Tisha Abraham | GE | Deep Learning |
Yonatan Abrham | University of Massachusetts Lowell | Healthcare, deep learning |
Anees Abrol | The Mind Research Network | Multimodal, AD, MCI, Progression |
John Absher | University of South Carolina Greenville | TBI exosome AD morphometry |
Yasmine abu adla | RHU | AI biomedical enginerring medical imaging |
Mohamed Abu Sheha | University of South Florida | Dementia, Machine Learning, Statistical Modeling. |
samah Abuayied | Umm Al-qurah university | AD |
Francisco Javier Acevedo | University of Alcala | PET, MRI, CSF biomarkers |
Maria Ram Achary | University of Mumbai | Alzhemeirs parkinsons hungtions and ALS |
Noriaki Adachi | MSD. K.K. (Japan Branch of Merck) | threshold |
Nikolaos Adaloglou | INSA | segmentation, medical imaging |
Hieab Adams | Erasmus MC University Medical Center | Neurodegeneration, high-dimensional data, brain imaging, genetics |
Bertrand Adanve | Genetic Intelligence, Inc | Whole genome sequence, Artificial intelligence, Computational analysis |
Arjun Adapa | University of Michigan | Segmentation, Image Analysis, Hydrocephalus |
Stanislaw Adaszewski | F. Hoffmann - La Roche AG | imaging, genetics |
aya adel | cairo university | classification |
Tameem Adel | University of Amsterdam | MRI Classification, Unsupervised Feature Learning. |
Katy Adler | Bar Ilan University | brain fc sc |
khadar afghan | KLE's Technological University | mini project on segmentation on brain mri |
Vera Afreixo | University of Aveiro | Data Analysis; statistics |
Babak Afshin-Pour | BioSymetrics Inc | Biomarker, data fusion, Alzheimer |
Joel Aftreth | Bernstein Center for Computational Neuroscience Berlin | convolutional neural network |
Oluwaponmile Afuwape | Iowa State University | TMS |
Sotiroula Afxenti | The Cyprus Institute of Neurology and Genetics | radiogenomics, radiotranscriptomics, imaging, omics |
Rehan Afzal | University of Newcastle | cnn |
Iman Aganj | Massachusetts General Hospital / Harvard Medical School | Brain connectivity |
Amit Agarwal | USC | Tau, microglia, neurodegeneration |
Ajay Agarwal | DIT University | Alzheimer's Disease, Progression |
Tanay Agarwal | Vellore Institute of Technology | GAN |
Ishaant Agarwal | BITS Pilani KK Birla Goa Campus, Sancaole, Goa | Unet, segmentation, deep learning |
Deevyankar agarwal | Higher College Of Technology | MRI,Alzhimer DIsease,MCI |
Varun Agarwal | N/A | The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge |
Siddharth Agarwal | University of Nottingham | brain age, chronological age, delta, radionics |
Abhi Agarwal | Health Banyan | Medical |
Bless Agbley | University of Electronic Science and Technology of China | Federated ML, Multimodal Medical Analysis |
Kunal Aggarwal | Amity University | Machine Learning, AD, MCI |
Anay Aggarwal | Stoller Middle School | behavior test scores |
Arshiya Aggarwal | Manipal University (MUJ) Jaipur | Alzheimer's, MCI, Early diagnosis, Convolution Neural Network |
Atefe Aghaei | Shahid Beheshti University | image processing, segmentation, feature extraction, deep learning, classificatio |
samira aghaie | Shahid Beheshti university | DTI |
Asimina Aglamisi | Uiversity of West Attica | master, biomedical technology, thesis |
Abramo Agosti | IRCCS Mondino Foundation | Neurodegenerative; Multimodal; Machine-Learning |
Daniel Agostinho | Universidade de Coimbra | AD, Machine Learning |
TARUN AGRAWAL | NIT HAMIRPUR | DNN, Medical Image |
Ambuj Agrawal | Elucidata Inc. | Project, Alzheimers prediction, IIIT Allahabad |
Vismay Agrawal | Indian Institute of Technology Madras | Medical Image Analysis |
Christian Agudelo | University of Miami Miller School of Medicine | DTI, microstructure integrity, gray matter diffusivity, cognitive decline |
Yésika Alexandra Agudelo Londoño | Universidad de Antioquia | dFC, resting state, based on task |
Jorge Aguilar | District University Francisco Jose de Caldas | Machine Learning Alzheimer disease |
Unai Aguilera | Mondragon University | PET, MRI, HSV |
Rubén Aguilera García | Granada University | CNN, Alzheimer detection, deep learning. |
Ifeanyi Aguocha | Cyprus International University | Deep Learning, medical diagnosis, Neural networks |
Kawser Ahammed | Jatiya Kabi Kazi Nazrul Islam University | alzheimer |
Jamila Ahdidan | Aarhus University | AD, hippocampus, prediction |
Asha Aher | San Jose State University | Machine Learning Alzhmeirs |
Rauf Ahmad | Uppsala University, Sweden | High-dimensions; Multivariate statistics; Linear models, Dependence measures |
Shakeeb Ahmad | Indiana University | Alzheimer's Disease, Cerebral Amyloid Angiopathy |
Fawad Ahmad | Student | data mining |
Hessam Ahmadi | Islamic Azad University, Science and Research Branch | fMRI, Non linear, graph theory, functional connectivity |
Fatemeh Ahmadi | Amirkabir University | Ricci Flow, Teichmuller space, metric |
Kourosh Ahmadi | Computing and Engineering | Correlation analysis, Logistic Regression, longitudinal analysis, Bayes Net |
Sara Ahmadi-Abhari | Imperial College London | Genome, Metabolome, Neurodegeneration, Functional connectivity, Machine learning |
Sara Ahmadi-Abhari | Imperial College London | Genome, Metabolome, Neurodegeneration, Functional connectivity, Machine learning |
Alaleh Ahmadianshalchi | Washington State University | Machine-Learning |
Maryam Ahmadzade | Simon Fraser University | MCI, Machine learning, AD, Progression, Prediction |
soheil Ahmadzadeh | Tehran University of Medical Science | Alzheimer,machine learning |
Tahera Ahmed | Bond University | Alzheimer's, Early Detection, Prediction |
Khandakar Tanvir Ahmed | University of Central Florida | mutation, MRI image, Alzheimer |
Mughis Ahmed | UOG | Multiple sclerosis |
Juweiriya Ahmed | Western University | Psychosis, AD |
Kamran Ahmed | Daffodil International University | AD detection |
Hala Ahmed | Faculty of computer science | Bio informatics |
USAMA AHMED | Riphah International University | Machine Learning |
ismail ahmed | University of Anbar | BRAIN ANALYSIS |
Yong Yeol Ahn | Indiana University | network, multi-omics, data integration |
Pratyush Ahuja | Jaypee Institute of Information Technology | Alziehmars disease |
Helena Aidos | Faculdade de Ciências, Universidade de Lisboa | Deep learning, prognosis, patient profiles |
Marco Aiello | Fondazione SDN | Diaschisis, PET, MR, connectome, brain connectivity |
David Airey | Eli Lilly and Company | NfL hippocampus biomarker |
Viljami Aittomäki | Nightingale Health Ltd | metabolomics, AD, Alzheimer's disease |
Zou Aixiao | Beijing University of Technology | data mining,bioinformatics and brain science |
Santiago Aja-Fernandez | Universidad de Valladolid | Diffusion MRI, anisotropy measures, robust estimation |
NIBIN BIN RIYAS AK | VIT | ADNI |
Go Akamatsu | NIRS-QST | Tau PET analysis |
abrar akas | Jordan university of science and technology | `PARKINSON |
Reza Akbari Movahed | Tarbiat Modares University | Alzheimer,Machine Learning, Deep Learning, MRI |
Oguz Akbilgic | Loyola University Chicago | deep learning, medical image analysis |
Erdoğdu Akça | Marmara University Pendik Training and Research Hospital | MCI, ALZHEIMER'S DISAESE |
Adeem Akhtar | Forman Christian College University (A Chartered University) | Longitudinal, Progression, Classification, Prediction |
Vasily Akimov | HSE | Alzheimer, Neurovisualization |
Essang Akpan | University of Pittsburgh | lateralization, asymmetry |
Mohammad Akradi | Shahid Beheshti University | OSA, AD, MCI |
Farhan Akram | Khalifa University | Alzheimer, early prediction, convolutional neural networks, deep learning |
Muhammad Haroon Akram | Bahria University Islamabad | ALPHA |
Wasim Akram | East West University | detection, deep learning, early-onset Alzheimer, mri |
Mina Akrami | Bahonar | MRI images |
Alexander Aksenov | UCSD | metabolomics |
Leon Aksman | UCL | structural MRI, longitudinal analysis, imaging genetics |
deniz aktas | TOBB Ekonomi ve Teknoloji Universitesi | internship |
PRATHYUSHA AKUNDI | International Institute of Information and Technology Hyderabad (IIITH) | Registration with deep learning |
Lior Al | Technion | Unsupervised learning |
MD MAMUN AL AMIN | University of Queensland | Hippocampus, Subiculum, CA1, Dentate Gyrus |
Hasan Al Marzouqi | Khalifa University of Science and Technology | deep learning, residual networks, constitutional networks, SNPs |
Obada Al Zoubi | Laureate Institute for Brain Research | Machine Learning, resting-state fMRI, reproducibility |
Hamada Al-Absi | Hamad Bin Khalifa University | Alzheimer Disease, prediction, deep learning |
Bassam Al-Fatly | Charite University Medicine | fMRI, DTI, connectivity, severity |
Ali Al-Nuaimi | Plymouth University | brain disorder |
Manal Al-Qahtani | King saud university | Grey matter, MRI, Alzheimer, Education |
SAMI AL-SHARABI | UNIVERSITI TUNKU ABDUL RAHMAN | deep learning CNN Alzheimer's disease prediction classification |
Aws AL-ZARQAWEE | Universiti Malaysia Pahang | CNN,Softmax |
FADHL ALAKWAA | MICHIGAN UNIVERSITY | drug discovery , drug repurposing |
Raquib-ul Alam | University of Sydney | longitudinal,mri,mri,pet,genetic |
Mohammad Arif Ul Alam | University of Massachusetts Lowell | Deep Learning, Reinforcement Learning, Cognitive Decline, Explainable AI |
Wang Alan | WTU | deep learn |
Oscar Alarcon Palomar | UNED | U-Net |
Teresa María Alarcos Tamayo | WstartupC | ML, AI, Alzheimer |
Alessandro Alati | Università degli studi Roma Tre | Graduation thesys University Rome |
Raed Alazaidah | Universiti Utara Malaysia | Longitudinal data |
Hadeel Albalawi | Univeristy of Aberdeen | Alzheimer’s disease, attribute selection, classification, data mining, dementia, |
Philippe Albouy | Université Laval | Morphometry |
Daniel Albrecht | University of Southern California | Amyloid, tau, CSF, blood |
Tara Albrecht | Copenhagen Business School | gene, alzheimer, analyzing |
Jack Albright | Nueva School | Machine Learning, Student, TADPOLE |
Ruth Alcala Lozano | National Institute of Psychiatry Ramon de la Fuente | Mild Cognitive Impairment. rTMS. Neuromodulation. |
Sarael Alcauter | Instituto de Neurobiología UNAM | sulcal width, Alzheimer, |
Faten Aldhafeeri | University of Hafr Albatin | cortical thickness, grey matter, white matter |
Irene Aleixandre Soriano | 1997 | alzheimer, project, software |
Turki Alelyani | Najran University | machine learning, Alzheimer, MRI |
Bomin Alex | Shandong University | fMRI, dynamic functional connectivy |
PANAGIOTIS ALEXOPOULOS | University of Patras | neuropsychiatric symptoms, AD, activities of daily living |
Ahmed Samir Alfaar | Charite medical university - Berlin | Brain Cancer, Alzheimer's |
Fidel Alfaro Almagro | University of Oxford | Defacing |
Jaafar Alghazo | Prince Mohammad Bin Fahd University | Alzheimer; Image Processing; Deep Learning; Medical Diagnosis |
Lea Alhilali | Barrow Neurological Institute | Diffusion tensor imaging |
Muhammad Ali | Washington University in St. Louis | Amyloid, Imaging, GWAS, genetic, biomarker, AD. |
Samr Ali | Concordia University | machine learning, hidden markov models |
Haider ali | university of gujrat | fmri |
doaa Ali | University of kentucky | Preclinical AD - amyloid PET images_ Cognitive function tests |
shahad ali | Technical College of Management | MRI dataset |
Mohd Hanafi Ali | The University of Sydney | Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive |
YAQEEN ALI | Comsats university of Islamabad Lahore campus | White matter hyperintensities,ADNI,Segmentation |
samire aliniyaee | Yazd University | Alzheimer, biomarker, psychopathology |
Sadiq Alinsaif | University of Ottawa | classification; machine learning; deep learning; feature extraction |
farzad alizadeh | tums | fmri,deep learning |
Rawan Alkady | Misr international university | Bio informatics |
Margaret Allard | University of Arizona | Diagnosis, Algorithms, Image Analysis |
Shanmukh Alle | IIIT Hyderabad | Machine Learning, Disease diagnosis |
Michael Allen | University of Exeter | synthetic gan gtn |
Brandon Allgood | Integral Health | tau vaccine phII clinical trial design |
Randa Almaktoum | Massachusetts General Hospital | WM/GM Ratio AD |
fatema almawed | damascus | MRI images of alzaheimer disease |
Ina Almdahl | Oslo University Hospital | Cerebrospinal fluid Amyloid Depression |
Hannes Almgren | Ghent University | Effective connectivity, structural connectivity, cognition |
Ibrahim Almubark | CUA | cognitive, neuropsychological |
Fahad Almuqhim | Florida International University | Alzehimers, brain disorders |
AMAL ALNASSER | KFSH | BREAST |
Devansh Alok | Jaypee Institute of Information Technology | prediction, neural nets, deep learning, college project |
Mohammed Alom | Cork Institute of Technology | Machine learning, Deep Learning, |
eya aloui | enstab | data set predict alzheimer |
Shannon Alptekin | Stony Brook University | machine learning, clinical research, Alzheimer's Disease, pathophysiology |
Hussain AlQatari | Misk Foundation/ General Assembly | student data research dementia prediction machine learning modeling deep neural |
Saif Aldeen AlRyalat | University of Jordan | Neonate, Alzheimer, Brain, Tau protein kinase, Amyloid beta protein, Atrophy. |
Omar Alsaif | Northern Technical University | hicampus, MRI, Alzheimer classification |
faisal alsalem | CICADA Imaging | PET |
Aamna AlShehhi | Khalifa University of Science and Technology - MIT | Autoencoder, Multi-model deep learning , AD risk factors |
Haifa Alshehri | Taif University | early diagnosis ,Alzheimer , Classification |
Muhammed Althaf | Cochin university of science and technology | MTECH project, Alzheimer disease early detection |
Liora Altman-Sagan | Northwestern University | Alzheimer's disease probability, Bayesian inference |
Andre Altmann | University Collage London | Imaging Genetics, Next Generation Sequencing |
Daniele Altomare | University of Geneva | biomarkers, Alzheimer, neuroimaging |
Feras Altwal | Rosalind Franklin University | Alzheimer's disease |
Erind Alushaj | Western University | QSM, MRI, Brain iron |
David Alvarez | Asturias Central Hospital | segmentation, hippocampus, deep learning, alzheimer |
Cláudia Alves | Universidade do Minho | MRI, Entorhinal cortex, Hippocampus, AD |
Eghosa Amadin | Stanford University | diagnosis |
Miguel Amador | Tecnico Lisboa | Alzheimer, Biomarker, Connectome |
Yahyah Aman | University of Oslo | Alzheimer’s disease, mitophagy, biomarkers |
Ali Amanlou | Amirkabir University of Technology | machine learning , artificial intelligence , biomedical |
Fatemeh Amanzadehsalut | Alzahra | Alzheimer’s disease |
SAI SANTOSH AMBATI | NITK SURATHKAL | Dementia, Mild cognitive Impairment, Alzheimer's, Deep learning technique |
Felix Ambellan | Zuse Institute Berlin | Disease classfication, Statistical shape analysis, Manifold valued statistics |
Mangal Ambi | D.Y.Patil.International.University,Pune | Alzheimer, Parkinson, Brain , Neurodegenerative |
Sadia Amin | BRAC University | AD,Neural network |
ACHAIBOU Amina | Ecole national polytechnique d'alger | TEP , detection , neurodegenrative deseas |
Eriza Aminanto | University of Indonesia | classification, alzheimer |
Nasrin Amini | Shahid Beheshti University of Medical Sciences | Alzheimer , MRI, classification |
Morteza Amini | Shahid Beheshti University | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Morteza Amini | Institute for Cognitive Science Studies | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Osama Amjad | Bahria University | AD |
Inge Amlien | Centre for lifespan changes in brain and cognition. Universitetet i Oslo | Lifespan, AD |
Priscilla Amofa Sr. | University of Florida | iADLs, ECog, FAQ, |
Nicola Amoroso | Università degli studi di Bari | Complex networks, deep learning, Alzheimer, brain connectivity, brain aging |
ZAREEN AMTUL | Independent Rsearcher | Alzheimer's disease, diagnosis |
Lijun An | National University of Singapore | ML, AD |
Chaitali Anand | University of California, San Francisco | PET, atrophy, amyloid, tau, longitudinal, computational |
Meenakshi Anbukkarasu | San Jose State University | Predicting conversion from MCI to AD |
Sami Andberg | University of Eastern Finland | Alzheimer's disease, early detection, machine learning |
Christina Andica | Juntendo University Graduate School of Medicine | Diffusion MRI, Free-water imaging |
Nicolas Andrade | University of California, Berkeley | machine learning, convolution neural network, support vector machine, decision t |
Rene Andrade Rey | University of Alcala de Henares | vbm, alzheimer |
Daniel Andreani | UBA | AD |
Shea Andrews | Icahn School of Medicine at Mount Sinai | Alzheimer's disease; mitochondria; genetic variation |
Sabina Andya | University of Indonesia | PET scan datasets |
Ayush Aneja | Thapar Institute of Engineering and Technology | Machine learning project |
Farhan Angan | BRAC University | Alzheimer, Deep learning |
Spyros Angelopoulos | Tilburg University | AI, neural networks |
cucun angkoso | Institut Teknologi Sepuluh Nopember | feature reduction, deep belief net, alzheimer |
Ahmadi Anis | Faculty of sciences of Tunis | Alzheimer's disease, machine learning |
Farhan Anjum | University of Management and Technology | CNN |
Nick Ank | scetech | image to image translation, GANs |
Wang Anlan | WUhan Textile University | deep learning, Alzheimer's |
Jagadeeswara Rao Annam | Gudlavalleru Engieering college | Alzeimers progression satges |
Ananthalakshmi Annappa Pushpalatha | College of Staten Island- CUNY | Machine learning prediction AD MCI life expectancy |
FAIZAH ANSARI | MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA | RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION |
Shahab Ansari | GIKI | automatic brain segmentation, Alzheimer's disease, machine learning |
Luigi Antelmi | INRIA | joint analysis; biomerkers |
Febin Antony | Christ (Deemed to be University) | MRI, PET, Alzheimer's Data, Gray Matter. CSF |
Augusto Antunes | MINER.IA | AI, Machine Learning, Inflammation, AD |
Nmachi Anumba | Georgia Institute of Technology | Alzheimer's disease, MR imaging, classifier |
Muzamil Anwer | Bahria University | 335630 |
Mazin Aouf | Western Sydney University | Medical Research Datasets |
Li Yew Aow Yong | Universiti Teknologi Malaysia | classification |
Chatchawit Aporntewan | Chulalongkorn University | Microsatellite markers, Alzhemimer's disease, mild cognitive impairment |
Liana Apostolova | IU | AD biomarekrs |
Eline Appelmans | Foundation for the National Institutes of Health | PPSB |
Dace Apsvalka | Medical Reseach Council | Hippocampus |
Arsen Arakelyan | Institute of Molecular Biology NAS Armenia | spasmodic dysphonia, genetic risk factors, quantitative trait locus analysis |
Itsasne Arangoa | Mondragon Unibertsitatea | MRI preprocessing |
Gilderlanio Araújo | Federal University of Pará | association networks, non-coding RNA, eQTL, population genomics |
Jose Aravena | Yale university | psychosocial; education; biomarkers; APOE-e4 |
Mohammad Arbabyazd | INS | reconstruction, virtualisation |
Damiano Archetti | IRCCS Centro San Giovanni di Dio-Fatebenefratelli | computational models |
Zaniar Ardalan | University of Arizona | Mild Cognitive Impairment, Convolutional Neural Network |
Babak Ardekani | Nathan Kline Institute | MRI; Corpus callosum; shape analysis; |
Eleni Aretouli | University of Deusto | intraindividual variability |
Konstantinos Arfanakis | Illinois Institute of Technology | diffusion, DTI, registration |
Konstantinos Arfanakis | Illinois Institute of Technology | mahiche learning, neuroimaging, neuro-degenerative pathology, biomarker |
nouha arfaoui | University | MCI |
Ali Ozgur Argunsah | University of Zurich | AD detection, convolutional neural networks |
Juan A. Arias | University of Santiago de Compostela | Neuroscience, alzheimer, cognitive disease, biostatistics, machine learning |
Kfir Ariel | Tel Aviv University | thesis, research methods, neurodegenerative diseases |
Kazuto Arihara | The University of Tokyo Hospital | I will write it later. |
Taylor Ariko | Florida State University | DTI, Alzheimer's Disease, connectivity |
Ivan Arisi | Fondazione EBRI "Rita Levi-Montalcini" | Genomics, clinical data, imaging, biomarkers, data mining, modelling, diagnosis |
Maria Eugenia Ariza | The Ohio State University | early biomarker, AD progression, virus protein |
Magnolia Ariza-Nieto | epIAWELL LLC | epigenetics, personalized, early diagnostics, obesity, metabolism, liver |
Aramin Armani | AmirKabir University | NeuroAnatomy |
Steven Armentrout | Parabon Computation | MDR, epistatis, cloud computing |
Rui Armindo | Hospital Beatriz Ângelo | ASL; Neuroimaging; Research; Teaching |
Nicole Armstrong | National Institute on Aging | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
Thomas Arnold | University of Pennsylvania | Cortical thickness, cortical atrophy |
Matthias Arnold | Helmholtz Zentrum München | gaussian models, data integration, network analysis |
Amit arora | ptu | MRI, Mammography, image processing, Deep learning, machine learning |
priya arora | Thapar Institute of Engineering and Technology | Alzheimer disease |
Jai Arora | Netaji Subhas Institute of Technology, New Delhi | Na |
Fernando Arreola | Universidad de Monterrey | Alzheimer's disease, MCI, machine learning, classification, asymmetry, atrophy |
Marianne Arriola | University of California, Santa Barbara | modeling, connectivity, progression, structural, functional |
FARAMIDA ARSHAD | MULTIMEDIA UNIVERSITY | fara |
Emilio Artacho-Perula | University of Castilla-La Mancha | Alzheimer, Euclidean distances, MRI |
Eivind Arvesen | N/A | machine learning, deep learning, ai, neural networks |
Akhilesh Arya | Manipal University Jaipur, Rajasthan India | Alzheimer's Disease, AD, MCI, Neuro-degenerative |
Samyam Aryal | SRM Institute of Science and Technology | Deep learning, Image enhancement, Filters |
Amirhossein Arzani | Northern Arizona University | hemodynamics, blood flow, perfusion |
Nibal Arzouni | USC | AD, Imaging genetics, |
Fatemeh Asadi | Tehran universityof medical sciennce | Alzheimer, machine learning |
Hadis Asadi | Islamic azad university Central Tehran Branch | Medical radiation |
bahareh asadpour | ferdowsi university of mashhad | research, sMRI, AD, alzheimer's disease |
Maame Gyamfua Asante-Mensah | Skoltech | Neural Networks, Classification |
adsad asdhkjashd | Stanford | ML AI |
calvin Ashe | Maynooth University | Final year project; Students; Covid-19 |
Miriam Ashford | NCIRE | Clinical |
Wes Ashford | Stanford | leptin, Alzheimer, blood, dementia |
Al ashir | Dhaka International University | Brain anomaly |
Olayide Ashiru | JHU Applied Physics Laboratory | precision medicine, Alzheimer's |
vahid Ashkani Chenarlogh | Islamic Azad University Science and Research Branch | Super Resolution, Neural Networks, deep learning, image processing |
rakhi ashok | IGNOU | ML |
Azhaar Ashraf | Imperial College London | Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin |
Naba Ashraf | GCUF | ASD |
Amir Ashraf-Ganjouei | Tehran university of medical scienses | Machine learning, Neural network |
mona ashtari | polytech | Alzheimer’s disease- MCI- classification |
Krish Asija | St. John's High School | support vector machines,deep learning, neurological degeneration, Alzheimer's, |
Breton Asken | Brown University | risk score, conversion, multivariate base rate, amyloid, ATN |
Brianna Askew | Alzheimer's Disease Cooperative Study | dementia, intervention, risk factors |
Eric Aslakson | Poiema, LLC | adni transmart |
farah aslam | University of engineering and technology,lore | research |
amara aslam | university of gujrat | Parkinson disease |
amara aslam | university of gujrat | fmri |
Farrah Aslam | University of Wah | Alzheimer disease prediction |
Toshihiko Aso | Kyoto University Graduate School of Medicine | BOLD signal, cerebral blood flow, venous drainage |
Assif Assad | Islamic University of Science and Technology | MAchine Learning Deep Learning ARTIFICIAL Intelligence |
Meltem ATAY | MIDDLE EAST TECHNICAL UNIVERSITY | Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers |
Meltem Atay | Middle East Technical University | Deep Learning, Convolutional Neural Networks, Effective Connectivity, |
Tushar Athawale | University of Utah | ensemble, uncertainty visualization |
Umit Atila | Karabuk University | deep learning, classification, automatic disease diagnosis |
Selamawet Workalemahu Atnafu | university of Bologna | Neurological disorder, Machine Learning, Alzheimer |
Shamitha S Attur | Amrita Vishwa Vidyapeetham | Medical diagnosis, Fuzzy classifier, Machine Learning, Alzheimer's Disease |
Michel Audette | Old Dominion University | hippocampus, atrophy, prognostic biomarker |
Joseph Austerweil | University of Wisconsin - Madison | Sequencing Biomarkers, Machine learning, individual differences |
Ambili AV | Hindustan college of arts and science | Brain multiplex, Correlative analysis, Dementia, discriminant analysis DNN, Fi |
brian avants | Biogen | brain, thickness, ANTs, conversion, amyloid |
Linda Avena | Ludwig Maximilians Universität | blood brain barrier, glymphatic system, ADNI MEM, ADNI Exec, atrophy, MRI |
Luciano Ávila | FACIT | alzheimer pet-scan |
Egils Avots | University of Tartu | MRI, image processing, nn, cnn |
Shivangi Awasthi | Merck & Co. | Alzheimer's, biomarkers |
Ibrahim Awinle | Crescent University, abeokuta | White Matter, White Matter Lesion, T2*W, T2, FLAIR, T1 |
Sai Ayachit | The National Institute of Engineering | deep learning, major depressive disorders, MRI |
Enes Ayan | Kırıkkale University | Alzheimer, Deep Learning, CNN, Medical Image Analysis |
taha yassine ayari | esprit | Alzheimer AI DATA |
Reina Ayde | Basel university | Deep learning image reconstruction |
Beste Aydemir | Bilkent University | Course Projects, Alzheimer's, Bilkent University |
Mighty Abra Ayidzoe | University of Electronic Science and Technology of China | Neural Network; Feature Engineering |
Umme Aysha | University of Regina | Research |
Scott Ayton | University of Melbourne | CSF amyloid b, tau, heart rate, blood pressure |
deniz ayvaz | boğaziçi university | lstm, irregular time series |
Harry Azadbakht | TMU University | Alzheimer Disease, Prediction, Regression |
Emanuel Azcona | Northwestern University | Graph convolutional networks, machine learning, MRI, graph signal processing |
Syed Furqan Azeez | Biocliq Technologies | Brain Tumor |
Fayez Azeez | Our Memos Inc | cognitive decline |
Tiago Azevedo | University of Cambridge | fmri mri clinical |
Ahmad Aziz | German Center for Neurodegenerative Diseases | genome-wide association study, neurofilament light chain, Alzheimer disease |
aniza Aziz | xylexa | genomic data |
Ahmadreza Azizi | Virginia Tech | deep learning classifier |
MIR AZRA | NIT Srinagar | DEEP NEURAL NETWORK, ACCURACY TEST |
darnisa azzahra | Universitas UPN Jakarta | Alzheimer's image dataset |
Divya B | Stigmata techno solutions LLP | alzhiemer,ML |
Rudhra B | IIITMK | PARKINSON |
shwetha B | sjce | Alzheimers, MRI, Wavelets, SVM |
Athira B | TKMCE | Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise |
jawahar b | kongu engineering college | dataset |
Srivatsen B N | University of Stuttgart | Cluster Analysis |
Prathima B N | M S Ramaiah University of Applied Science | Computer aided diagnosis Mild cognitive impairment Alzheimer's disease MRI |
Rajakumar B R | Resbee Info Technologies | Optimization, Classification, Computer aided diagnosis |
Maowen Ba | Yantai Yuhuangding Hospital | rpAD;Prevalence;Biomarker |
Abbas Babajani-Feremi | The University of Tennessee Health Science Center | Imaging biomarker; Early identification of the Alzheimer’s disease (AD) |
Fatima Babar | G.C. Women university,sialkot | neuroimaging |
AmanPreet Badhwar | CRIUGM, University of Montreal | neuroimaging, genetics |
Lea Baecker | King's College London | machine learning, MRI |
halit baeloha | tel aviv university | AD, digital health |
Daniel Baer | Medical University of South Carolina | Statistical model, Alzheimer's disease, longitudinal data, covariate selection |
Steven Baete | NYU School of Medicine | Orientation Distribution Function analysis, Diffusion MRI |
Ali Baghayeri | Shahrood University of Technology | preprocessing data |
Ali Baghayeri | Shahrood University of Technology | ADNI data analysis |
dhimas bagus teguh pambudi | Informatics | Machine Learning. Alzheimer |
fatemeh bahadoran | babol noshirvani university of technology | alzheimer neural network |
Alex Bahar-Fuchs | The University of Melbourne | Cognition, neuropsychiatric symptoms, mood |
Elif Bahçekapılı | Yıldız Teknik Üniversitesi | Machine Learning, Disease |
Xiaoyu Bai | Northwestern Polytechnical University | Deep learning; MCI; AD |
Yang Bai | WHUT | 123456 |
Wenjun Bai | ATR | dynamic effective connectivity |
Paul Baiju | AERO | AI |
Abhijith Bailur | SJCE Mysore | MRI |
Paul Baird | Centre for Eye Research Australia, University of Melbourne | AMD, genome wide, interaction |
Zhang Baiwen | Beijing University of Technology | AD, MCI convert |
Pradeep Bajracharya | RIT | MRI; Brain; Artifact |
Reda Baka | Université des Sciences et de la Technologie d'Oran - Algerie | convolutional neural network, master's degree, AI, MRI, classification |
Ron Baker | University of Kentucky | Alzheimer's AD Dementia CARTS |
Susan Baker | Janssen R&D | Diagonsis, Progression, Biomarkers |
Suzanne Baker | Lawrence Berkeley National Laboratory | AV45, R1 |
Mudathir Bakhit | Fukushima Medical University | DLPFC, tractography, connectome |
Naman Bakhru | IIT Kharagpur | Hidden Markov Model, Bayesian networks |
Akhil Bakhshi | KCL | Schizophrenia |
mahdi bakhshi | iran | brain |
Arnold Bakker | Johns Hopkins University | Entorhinal Cortex |
Kavitha Bakshi | Ryerson | Medical Machine Learning |
Abhishek Bal | Calcutta University | PET datasets, brain |
Rukku Bala | Ericsson Inc. | dementia, alzheimers, mri, ai, clinical data |
PAVITHRA BALA | LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING | ALZHEIMERS , EEG |
mohammad Balabandian | Iran university medical sciences | alzheimer |
Helena Balabin | Fraunhofer Scientific Computing and Algorithms Institute (SCAI) | Machine Learning, Multimodal Classification |
Andrea Balado | qubiotech | PET, MRI, quantification |
Chetan Balaji | CIT Gubbi | Alzheimer's and Parkinson's Disease |
Vibha Balaji | IISc | Computational analysis |
kishore balasubramanian | Dr MCET | CNN, bio insired algorithms |
Erica Balboni | University-Hospital Company of Modena | Hippocampal Segmentation Deep Learning |
ERDEM BALCI | Gazi University | PET, FDG, Amyloid |
Marcos Balle | Universidad Politécnica de Madrid | T1, DTI, MCI, AD |
Manas Bam | Bethany High School | Std 11 student, passionate, classify, early detection, community helping |
Oluwaseun Adebayo Bamodu | Taipei Medical University - Shuang Ho Hospital | Proteome, Genome, Parkinson's Disease, Motor disorder, Cerebrum |
parthi ban | VIT university | mri, alzheimers , CNN |
Harsh Bandhey | IIIT Delhi | 3D-CNN, Classification, MRI, MICCAI |
Mantas Bandonis | Johannes Kepler University | labadiena |
Dipankar Bandyopadhyay | Virginia Commonwealth University | DTI, tensor regression, spatial methods |
Abhijit Banerjee | Dr. B C Roy Engineering College, ECE | Deep Learning, Classification |
Ji-In Bang | CHA Hospital | neuroimaging |
Seojin Bang | Carnegie Mellon University | longitudinal; multimodal; clustering; machine learning |
Katherine Bangen | University of California, San Diego | vascular risk, cerebral blood flow, amyloid |
Pan Bangquan | SUN YAT-SEN UNIVERSITY | Multimodal method; Medical imaging |
Waqas Bangyal | University of Gujrat(UOG), Gujrat, Pakistan | Deep Learning; Brain MRI Classification, 3D-CNN; |
Timothy Banh | University of California, San Francisco | MCI, disease progression |
Mehri Baniasadi | University of Luxembourg | MRI segmentation |
Rana Banik | Vanderbilt University | Medical Image Synthesis, Inhomogeneity study |
Sarah Banks | UCSD | tau; alzheimer's; sex differences |
Shuhei Bannae | Canon Medical Systems Corporation | Alzheimer disease |
Leonie Banning | Maastricht University | Neuropsychiatric symptoms – amyloid markers – neuronal injury markers – APOE gen |
SANCHIT BANSAL | the university of hong kong | - |
Deepika Bansal | The NorthCap University Gurugram | Machine Learning, Deep Learning, MRI Image |
Jaume Banus Cobo | INRIA | Blood pressure, mechanistic modeling, white matter hyperintensities, b-amyloid |
YIWEN BAO | University of Hong Kong | amyloid-PET |
Lu Bao | Nanjing Normal university | Functional data analysis,FPCA,Block-wise missing data,Data imputation |
BaoZuPeng BaoZuPeng | China Jiliang University | Research |
Rohan Bapat | Stony Brook | Machine Learning, Convolutional Neural Network |
Anand Kumar Bapatla | University of North Texas | EEG, fMRI |
ali barati | tums | rs-fmri |
Sheena Baratono | Beth Israel Deaconess Medical Center | apraxia |
Eduardo Barbará | Universidad Autónoma Metropolitana (UAM) | image processing data analize |
Justin Barber | University of Kentucky | neuropsych testing, education, amyloid, wmh |
Philip Barber | University of Calgary | stroke; TIA; brain atrophy; dementia |
Robert Barber | University of North Texas Health Science Center | Alzheimer's disease genetics |
Michael Barbine | Kinometrix Inc. | Health, Personalized Health, IPHA |
Jordan Barbone | West Chester University | Independent, personal use |
Adriano Barbosa da Silva | Queen Mary University of London | Machine Learning, Artificial Intelligence, Prediction |
Steven Barger | University of Arkansas for Medical Sciences | amyloid, PIB, florbetapir, prescription, drug |
IOANNIS BARGIOTAS | ENS CACHAN | Control, Alzheimer,PET images |
Giuseppe Barisano | University of Southern California | perivascular spaces |
chris barlow | The Open University | AD, Dementia, MCI, Biomarkers, Trisomy 21 |
Leland Barnard | Mayo Clinic | high throughput PET processing pipeline |
Josephine Barnes | UCL Institute of Neurology | hippocampus, whole brain |
Jude Baroudi | University of Pittsburgh | Alzheimer’s, Neuroimaging, Artificial Intelligence, Medicine |
Sandra Barral | Columbia University | GWAS plasma beta amyloid |
Hannia Barrera | University of California Davis | Brain, health equity, minority groups |
Olivier Barret | CEA | Normalization, ATLAS |
Matthew Barrett | University of Virginia School of Medicine | Parkinson disease, genetics, biomarkers, CSF, alpha-synuclein, tau |
Kathryn Barrett | The University of South Carolina | Extra Credit |
Muhammad Hablul Barri | Telkom University | alzemier |
Alfonso Barrós-Loscertales | Universitat Jaume I | factorial analysis, latent variable modeling, brain organization |
Daniel Barry | Ulster University | Machine Learning, algorithm, classification |
vera barstad | University of Agder | Deep Learning, 3DCNN,pointcloud |
Antara Titikhsha Barua | Asian University for Women | AD |
Alfons Basa | Metropolitan College | alfkel |
Chinmai Basavaraj | University of Arizona | MRI, fMRI, Deep Learning, Alzheimer's |
Suryakanth Basavaraj | BMSITM | MRI,PET |
Javaria Baseer | National University of Science and Technology(NUST) | CSF, blood, serum, Proteomics, Mass Spectrometry, Swaath analysis |
Gabriela Basel | Stanford University | student, coursework |
SHAIK BASHEERA | ACHARYA NAGARJUNA UNIVERSITY | Alzheimer’s disease, Deep learning, Classification, Gray matter, Enhanced ICA |
Abol Basher | Chosun University | Alzheimer |
Nauman Bashir | COMSATS UNiversity Islamabad | XAI; Deep learning; Automatic diagnostic; Concept |
FAROUQ SADIK BASHIR | DIT UNIVERSITY | Alzheimer |
Usman Bashir | St Barts Hosptal | CNN |
Rodrigo Basilio | IDOR | DNN Machine Learning |
Natalia Basimova | Moscow Institute of Physics and Technology | Convolutional Neural Nets, multiclass classification, regression models |
Rani Basna | University of Gothenburg, Institute of Medicine | Alzheimer's disease, mild cognitive impairment, longitudinal, |
Cher Bass | King's College London | generative models, deep learning, biomedical data |
Rikin Basu | Vellore Institute of Technology , India | deep learning , image processing , Alzheimer’s, diagnostics |
Arindam Basu | University of Canterbury | Alzheimer's Disease, TBI, Polygenic risk scores |
ganga surendra basva | bharath university | datasets |
Vishant Bata | Indian Institute of Technology,(BHU), Varanasi-India | PET Scans, Early Detection, Machine Learning |
Layal Bata | Occidental College | Alzheimer's, shape analysis, machine learning |
Veeky Baths | Birla Institute of Technology & Sciences, K. K. Birla Goa Campus | Cognitive diseases, Computational Neurosciences |
Richa Batra | Weill Cornell Medicine | PRS, Metabolomics |
Mark Battle | GE Healthcare | Centiloid, PiB, imaging windows |
Pryangka Rao Batumalay | Ryerson University | Biomarkers and Alzheimer Disease Stages |
Lucia Batzu | King's College London - Maurice Wohl Clinical Neuroscience Institute | Alzheimer's disease; MRI; neuroinflammation |
Matthew Baucum | University of Tennessee Knoxville | machine learning, disease progression, time series |
Roman Bauer | Newcastle University | computational neuroscience |
Sarah Bauermeister | University of Oxford | machine-learning; cognition; socioeconomic status; lifestyle; early-life |
Baris Baydargil | Kyungsung University | Alzheimer's disease, Medical Imaging, Deep Learning, Meta Learning |
Mehmet BAYGIN | Ardahan University | Dementia, ADNI, Machine Learning |
Gunes Bayir | Bogazici University | brain networks, graph neural networks |
Peter Bayley | VA Palo Alto Health Care System, | CYP191A, hippocampus, apoe4, neuropsychology |
Inci Baytas | Bogazici University | Long short-term memory, disease progression |
Md Shamsuzzoha Bayzid | Bangladesh University of Engineering and Technology | Alzheimer's disease progression; Machine learning |
Farideh Bazangani | Aix Université Marseille | machine learning |
Tariq Bdair | Technical University of Munich | SSL segmentation |
Derek Beaton | Baycrest | partial least squares, multivariate, genetics |
Helen Beaumont | University of Manchester | diffusion DOC atlas |
Lino Becerra | Invicro | asl, cbf |
Laurel Beckett | UC Davis | Biostatistics |
Joanne Beer | University of Pennsylvania Perelman School of Medicine | imaging, multi-scanner |
Simone Beer | Forschungszentrum Juelich | quantitative PET |
Mirza Faisal Beg | Simon Fraser University | MR, LDDMM, segmentation, registration, statistical shape analysis |
kauser begum | The Center for Advanced Genomics | disease-variants diagnostics |
Iman Beheshti | CERVO Research Center, Mental Health University Institute of Quebec | estimation, brain age, MRI |
Nazanin Beheshti | University of Houston | CNN, Spatitemporal locality, Classification, |
Rahmat Beheshti | University of Delaware | Multimodal data analysis, Synthetic data generation |
Qumars Behfar | Cologne University hospital | Connectome |
Hamid Behjat | Lund University | shape analysis, topological similarity, classification, early diagnosis |
Hamidreza Behjoo | Skolkovo Institute of Science and Technology | CNN, Tensor decomposition |
Jordan Behn | Northwestern University | PPA |
Tina Behrouzi | University of Toronto | GSP for brain mapping |
Nadja Bekele | EY | Deep Learning, Recurrent Neural Networks, Reinforcement Learning |
Victoria Belancio | Tulane University | genetic variation |
Mahanand Belathur Suresh | Sri Jayachamarajendra College of Engineering | AD,MCI |
Sergey Belavin | Saint Petersburg University | Classification. Machine learning. |
Alexander Belden | Northeastern University | DTI, Music Based Intervention, auditory, reward |
David Belinsky | Stony Brook University | Computer Vision, GAN |
Vincent Beliveau | Medical University of Innsbrucl | n/a |
Samantha Bell | Cleveland Clinic - Lou Ruvo Center for Brain Health | dementia, Alzheimer's, hippocampus, aggression |
Maura Bellio | University College London | graphic user interface; MRI; disease progression models; neurodegenerative |
Luis Beltran-Parrazal | Universidad Veracruzana | SVM-REF |
Fu Ben | Zhengzhou Univerisity | Multimodal deep learning;Early diagnosis |
amira ben rabeh | tunis | Alzheimer , CAD |
maissa ben soussia | UNC | PET |
Marc Benayoun | Wake Forest Baptist Health | convolutional neural network, AI |
Federica Bencivenga | University of Roma "La Sapienza" | connectivity, fMRI, resing-state networks |
Andrew Bender | Michigan State University | diffusion MRI, machine learning, latent factors, |
Andreana Benitez | Medical University of South Carolina | MoCA, Item Response Theory |
Lauren Bennett | Hoag Memorial Presbyterian | Alzheimer's disease, diabetes, verbal memory |
Neal Bennett | Gladstone Institutes | metabolism |
Erin Bennett | The George Washington University Milken Institute School of Public Health | generalizability, epidemiology |
Julia Benoit | University of Houston | Alzheimer's disease, clinical trial methods, prediction |
Takis Benos | University of Pittsburgh | graphical models, machine learning, systems biology |
David Benrimoh | McGill University | Psychosis, schizophrenia, structural networks |
Alexandre Bense | ETH Zürich | degeneration white matter prediction, deep learning |
Mariana Bento | university of calgary | machine learning, image features, dementia |
El Mehdi Benyoussef | Hassan 2nd University of Casablanca | Machine Learning, Image Processing, Alzheimer's Disease |
Meryem Benyoussef | Sorbonne University | Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment |
Seo Beomjin | Kyunghee University | DCSRN , MRI BRAIN image , super image resolution |
Cosmin Bercea | Helmholtz AI | Anomaly Detection, Federated Learning |
Maurizio Bergamino | Laureate Psychiatric Clinic & Hospital | DTI; GQI; structural connectivity; prediction model |
Miles Berger | Duke University Medical Center | proteomics, CSF, Alzheimer's disease, MCI, cognition |
Derek Berger | St. Francis Xavier University | brain-extraction, skull-stripping, CNN, U-Net |
Visar Berisha | Arizona State University | Machine learning models, repeatable composites |
Michael Berman | Hadassah Academic College | CT, MRI, Ultrasound, Imaging reconstruction, Deep Learning |
Jose Bernal | The University of Edinburgh | Atrophy, Longitudinal |
Rachel Bernier | UC San Diego | sex differences; Alzheimer's disease; tau |
Rachel Bernier | UC San Diego | sex differences; Alzheimer's disease; tau |
Olivia Bernstein | University of California, Irvine | prediction, biased sample, clinical trials |
Adam Bernstein | University of Arizona | Thalamus, Deep Learning |
Stuart Berr | University of Virginia | PET |
David Berron | Lund University | MTL, hippocampus, structure, preclinical AD, amyloid PET |
David Berron | Lund University | MTL, atrophy, Abeta |
Tessa Berry | Blue Cross Blue Shield of Illinois | deep learning, POC |
Laiss Bertola | Universidade Federal de Minas Gerais | Genetics, using ADNI data as a teaching example, Friday Harbor |
Maxime Bertoux | Inserm | Alzheimer, ATN |
Lars Bertram | University of Luebeck | GWAS, EMIF, QTL, PGS |
Olfa Besbes | ISITCOM http://www.infcom.rnu.tn/content/ | Machine and deep learning, early detection |
Pierre Besson | Northwestern University | Deep learning, prediction, big data |
John Best | University of British Columbia | forecasting, TADPOLE, regression-based prediction |
Richard Bethlehem | University of Cambridge | statistical learning, neuroimaging |
Tobey Betthauser | University of Wisconsin-Madison | PET, neuroimaging, processing |
Erin Beveridge | Canon Medical Research Europe | Brain segmentation, neurodegenerative disease, machine learning |
William Bevis | University of WIsconsin, Madison | UI UX |
Liudmila Beziaeva | Nant | deep learning Alzheimer |
Archana Bhade | Government College of Engineering,Amravati | machine learning |
Sayantan Bhadra | Washington University in St. Louis | generative model, MRI |
Arijit Bhaduri | Jaypee Institute of Information and Technology | image-classification |
Eui-hyun Bhae | korea advanced institute of science and technology | deep learning, Alzheimer's disease |
Tushar Bhangale | Genentech | GWAS |
Nikita Bhanot | National institute of technology, Jalandhar (INDIA) | alzhiemer, neural network, machine learning |
Pradyumna Bharadwaj | The University of Arizona | MAGNETIC RESONANCE IMAGING; TAU ; AMYLOID |
Devashish Bharti | Converz Ltd | AI, brain, neurological disorder |
Harsh Bhasin | Jawahar Lal Nehru University | MCI, Support Vector Machine, Decision Tree, Neural Networks, Bayesian |
Chethana Bhaskara | University of Southern California | alzheimers, machine learning |
Nithya Bhasker | TU Dresden | graph convolutional networks, disease prediction |
Varsha Bhat | WorldServe | Image processing |
Seema Bhat | Dayananda sagar | DWI, b=1000 images |
Omkar Bhatavdekar | Johns Hopkins University | Deep learning, AI, Machine learning |
Kirti Raj Bhatele | Rustamji Institute of technology, BSF Academy, Tekanpur | Machine learning, Deep learning, Alzheimer’s disease, Schizophrenia, Parkinson’s |
Surbhi Bhatia | King Faisal University | Dementia, Deep Learning |
Atanu Bhattacharjee | Tata Memorial Centre | Joint longitudinal modeling, time to event data, biomarker |
SATARUPA BHATTACHARJEE | UC DAVIS | Analyze, Statistics |
Debanjali Bhattacharya | International Institute of Information Technology Bangalore | Texture, shape, volume |
ARINJITA BHATTACHARYYA | University of Louisville | shrinkage, logistic regression, variable selection, prediction |
Sudeepa Bhattacharyya | Arkansas State University | metabolomics, neuroimaging |
Uttam Bhetuwal | Brown University | Deep learning,brain imaging |
Pradnesh Bhike | AISSMS College of Engineering Pune | Study, CNN |
Rimmon Bhosale | IIT Palakkad | CNN, deep learning, medical images |
SAJAN BHOSALE | SANJAY GHODAWAT UNIVERSITY | Alzheimer's Dataset |
Amanjot Bhullar | University of Guelph | artificial neural netowrk |
Cheng Bi | Chinese Academy of Sciences | Medical image analysis; Artificial intelligence |
Hanwen Bi | Columbia University | Functional connectivity, VAE |
Xin Bi | Northeastern University | brain network, fMRI, Alzheimer's Disease |
Qiuhui Bi | Beijing Normal University | DTI,metabolism,aging |
shijia bian | EMORY UNIVERSITY | AD disease progressin |
Chun Mei Bian | Tongji Medical College,Huazhong University of Science and Technology | bile acid;intestinal microorganism;Alzheimer's disease |
Wajiha Bibi | Aston University | biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement |
Ayesha Bibi | University of Gujrat | Alzheimer's disease |
Abhinav Bichal | Att intern | Machine learning model, Biomarkers, Correlations, Data Scientists |
Amen Bidani | IDeTiC | Alzheimer's, Machine Learning |
Ricardo Bigolin Lanfredi | University of Utah | Visual dataset explanation, regression, adversarial training |
mahtab bigverdi | sharif university of Technology | diagnosis method dataset |
Murat Bilgel | National Institute on Aging | FDG, amyloid, DTI, MRI, atrophy, longitudinal |
Ali Bilgin | University of Arizona | WMH, segmentation, deep learning |
Benjamin Billot | UCL | segmentation, volumetry analysis |
Reem Bin Hezam | Dublin City University | dementia, modifiable risk factors |
song binbin | Donghua University | studying master;Alzheimer's disease |
Ni Bingjie | Huazhong University of Science and Technology | Deep Learning、Neurofunctional assessment |
Ni Bingjie | Huazhong University of Science and Technology | alzheimer's disease |
Huang Bingsheng | Shenzhen University | AD, brain age |
Huang BingYao | Beijing University of Posts and Telecommunications | joint modeling |
Florian Birk | University of Tübingen | Hippocampus |
Colin Birkenbihl | Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI | AETIONOMY, statistical comparism, modeling, validation |
George Biros Biros | The University of Texas at Austin | Image registration, image segmentation, tau analysis, PET, MRI, machine learning |
Joshua Bis | University of Washington | Alzheimer's disease, sequencing, ADSP |
Gérard Bischof | University Hopsital Cologne | Alzheimer's disease, resting state, fMRI |
Sotirios Bisdas | University College London | Brain ageing; Cognition; Brain tumour |
Ram Bishnoi | Medical College of Georgia | dementia, latent variables, neuroimaging |
Anna Bishop | Boston University | deep machine learning, MatLab, AlexNet, neural network |
Joseph Bishop | Anthem Inc | Classification Machine Learning |
David Bissig | OHSU | retina, ocular |
Subhrangshu Bit | Ramakrishna Mission Vivekananda Educational and Research Institute | Algorihtm, Machine Learning Preclinical Alzheimer's disease |
Malin Bjornsdotter | Sahlgrenska University Hospital | stroke, epilepsy, aging |
zhang bl | JiLinUniversity | Prediction ,Alzheimer,Graph Neural Network |
Sandra Black | Sunnybrook Research Institute | MRI Volumetry, Alzheimer disease progression |
Jennifer Blackwood | University of Michigan-Flint | MCI, neurological exam, vital signs |
Elise Blaese | IBM Research | NIA GCAD Watson |
Joshua Blake | LMU University Munich | Alzheimer Prediction, Alzheimer Detection |
Paul Blanc | APHP | probabilistic FDG PET conditional variational auto encoder |
George Blanck | UNIVERSITY OF SOUTH FLORIDA | immune receptors; complementarity determining regions; physicochemical features. |
Wouter Bloem | Amsterdam UMC | Longitudinal, tau, PET, review |
Emma Bluemke | University of Oxford | healthy ageing, neural networks |
Jenna Blujus | UWM | Alzheimer's disease |
Dominik Blum | University Hospital Tuebingen | Parkinson, Cognition, FDG, denoising |
Stefano Blumberg | University College London | Experimental Design |
Ashish Bodla | Self | Grand Challenge |
Kaylee Bodner | Duke University Medical Center | Alzheimer's, neurofilament light, genes |
Susan Boehnke | Queen's University | CSF biomarkers, lumbar puncture |
Ronald Boellaard | University Medical Center Groningen | Image methodology, quantification, processing, classification |
Bojan Bogdanovic | Ss. Cyril & Methodius University in Skopje | bioinformatics, prediction, AD, university |
Craig Bohrson | Harvard Medical School | clonal hematopoiesis, Alzheimer’s disease, Dementia |
Arun Bokde | Trinity College Dublin | MRI, grey matter, volumetric, hippocampus |
Joseph Boldrey | Iowa State University | TMS, Neuromodulation, Magnetics |
Luke Bonham | Johns Hopkins | Alzheimer's disease, hydrocephalus, ventricular volumes |
Luke Bonham | UCSF | FDG PET, MRI, Neural Network |
Leonardo Bonilha | Medical University of South Carolina | AD, Epilepsy, Deep Learning. |
Ester Bonmati | University College London | coursework;matlab; |
Brian Booth | University of Antwerp | MRI atlases, image registration, metric learning |
David Borensztajn | University of Amsterdam | Machine learning, MRI, CNN, Brain disease |
Polina Borisova | NRU HSE | Topological data analysis, persistent homology, combinatorial Laplacians |
arezoo borji | amirkabiruniversity | alzheimer-diagnosis-prediction |
Kushal Borkar | International Institute of Information Technology, Hyderabad | f-MRI dataset |
Léonie Borne | University of Newcastle | Anatomy, structural MRI, cortical sulci, machine learning |
Alexandre Bortoli | Stanford | Tau ; prions ; AD |
Christian Boschenriedter | Heinrich-Heine-Universität Düsseldorf | Parkinson's disease, machine learning |
Aditya Bose | Manipal University Jaipur | GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data |
Shirsha Bose | Jadavpur University | Found |
Anirban Bose | Chennai Mathematical Institute | Topological Data Analysis |
Nicholas Bott | University of California San Francisco | cognitive aging; structural imaging; inflammation |
Louis-François Bouchard | École de technologie supérieure | bayes, memory-based, CNN, deep learning, medical imagery |
Amel Bouchemha | University of Tebessa , Algeria | Medical images, bio-inspired approches, Random forest |
Johémie Boucher | Université de Montréal | neuropsychology of aging; alzheimer's disease; clinical research |
bucha bouchra | FSt | 1234 |
Guelib Bouchra | Abd el hamidm mehri Constantine 2 | Data integration , heterogeneous data, Alzheimer, machine learning |
Salma Bougacha | INSERM | Alzheimer, spreading, tau, connectome |
Wafa Boukellouz | university of ferhat abbas setif | MRI, CTm prediction |
Olga Boukrina | Kessler Foundation | education; statistics, proportions, frequencies |
Pierrick Bourgeat | CSIRO ICT Centre | Segmentation, registration, longitudinal study |
Jessica Bourgin | Université Savoie Mont Blanc | Amygdala; Attentional network |
Jessica Bourgin | Université Savoie Mont Blanc | emotion; attention; amygdala |
Younes Bouterfa | Uclouvain | AD, Detection, CNN, MRI |
thebti Boutheina | Monastir | neuro imagerie, alzheimer disease, multiple sclerosis |
Emily Bove | Cogstate | Cogstate |
Zheng Bowen | Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences | Deep Learning |
Daniel Bowgett | Northumbria University | joint models, improved discrimination, biomarkers |
Serdar Bozdag | University of North Texas | machine learning, data mining |
Andrea Bozoki | Michigan State University | FDG-PET; PIB-PET; Alzheimer's disease |
Jeffrey Brabec | University of Vermont | NetWAS, PheWAS, CNNs, Derived-phenotypes, Canonical Correlation Analysis |
Nicholas Bradfield | St Vincent's Hospital Melbourne | Mild cognitive impairment; neuropsychology; memory |
Tyler Bradshaw | University of Wisconsin | attenuation correction |
Joana Braga Pereira | Karolinska Institute | CSF, MRI |
Delfina Braggio | Pladema | hippocampus, shape, volume, deformation |
Nadia Brancati | National Research Council of Italy | image processing |
Valentina Brancato | IRCCS SDN | DICOM |
Lodewijk Brand | Colorado School of Mines | haploview, plink |
Jose Bras | UCL, Institute of Neurology | Neurogranin, neurofilament light, biomarker, genetics |
Maciej Brasewicz | Uniwersytet Szczeciński | Alzheimer |
Meredith Braskie | USC | inflammation |
Jana Bratanić | Faculty of science Split | alzheimer desease |
Noa Bregman | Tel Aviv Medical Center | verbal fluency |
James Brewer | UCSD | subregional change MRI, PET |
Adam Brickman | College of Physicians and Surgeons, Columbia University | white matter hyperintensities, PIB, amyloid |
Ross Briden | Brown University | MRI Brain Tumor Segmentation; Deep Learning for Medical Image Synthesis |
Joshua Bridge | University of Liverpool | AI, Deep learning |
Robert Bridges | Aegis Imaging Consultants | Hypometabolism |
Danielle Briggs | Brigham and Women's Hospital | ADNI 3, LONI, coordinator |
brizzle brizzle | Sichuan University Jincheng College | AI bigdata |
Esther Bron | Erasmus MC | Classification |
Kévin Brou Boni | Centre Oscar Lambret | GAN, CT, MRI, pseudo-CT, radiotherapy |
Jonathan Brouillette | Hopital du Sacre-Coeur de Montreal | Retinoic acid, Alzheimer's disease, Single-nucleotide polymorphisms |
Rachel Brouwer | UMC Utrecht | longitudinal brain change, GWAS |
Valerie Brouwers | Erasmus University Rotterdam | Predictability MMSE scores joint lasso method |
Francesco Brovelli | University of Milan-Bicocca | conversion, MRI, amyloid PET, MMSE |
Anastasia Brovkin | University Medical Center Hamburg- Eppendorf | Deep learning, biomarker, prediction, statistics |
Shael Brown | McGill | Connectome harmonics, Manifold learning |
Thad Brown | Personal Interest | pydicom |
Chiara Brück | ErasmusMC | Microsimulation modelling; Public health; Dementia; Epidemiology |
Sarah Brueningk | ETH Zurich | Interpretability, machine learning, risk prediction |
Divya Brundavanam | Karolinska Institutet | predictive modeling, multimodal MRI |
Iva Brunec | University of Toronto | Hippocampus, Memory decline, fMRI |
Irene Brusini | KTH Royal Institute of Technology | Structural MRI, segmentation, deep learning, shape analysis |
Enrico Bruttomesso | MSC computer engineering student (Uninettuno International University) | alzheimer mri deep learning neural network dnn |
Annie Bryant | Massachusetts General Hospital | tau, perfusion, blood vessels |
Christopher Brydges | University of California, Davis | Bayesian statistics; research methods |
Andrea Brzeczkowski | University of Wisconsin - Madison | pharmacokinetic, imaging |
Rakshitha BS | christ faculty of engineering | Machine Learning , Deep Learning, Classification |
Zhiqi Bu | University of Pennsylvania | Missing value imputation |
Giovanna Bubbico | ITAB, Institute for Advanced Biomedical Technologies | DTI bilingualism normal aging |
OMONIGHO BUBU | UNIVERSITY OF SOUTH FLORIDA | sleep deprivation, Alzheimer's Disease, beta-amyloid |
Marco Bucci | Karolinska Institutet | PET, CSF |
Hans-Georg Buchholz | University Medical Center | NEUROSTAT, SPM12 |
Bradley Buchsbaum | Baycrest Centre for Geriatric Care | fMRI PET correlation |
Maciej Buciński | University of Adam Mickiewicz | Neuroimaging, Deep Learning, Data Science, Machine Learning |
Hudson Buck | Santa Casa de Sao Paulo School of Medical Sciences | Alzheimer, diabetes, hypertension, chronic diseases |
Katharina Buck | Roche Diagnostics | Elecsys CSF Measurements |
Virginia Buckles | Washington University in St. Louis | DIAN ADNI |
Rachel Buckley | Massachusetts General Hospital/Harvard Medical School | subjective cognitive decline, amyloid, neurodenegeration, sensitivity |
Gabriel Bucur | Radboud University Nijmegen | causal inference, Mendelian randomization, Robust estimation, Bayesian inference |
Charley Budgeon | University Of Western Australia | Alzheimer's, disease progresssion, Biomarkers, cognitive, wellbeing, |
Kauê Bueno | Universidade São Judas Tadeu | #deeplearnig #machinelearing #alzheimer |
Hara Govinda Sai Praneeth Bugata | Indian Institute of Technology, Tirupati | Personalized Model, Bioinformatics, Machine Learning |
Duc Toan Bui | Sungkyunkwan University | synthetic image, cycleGAN |
Duc Toan Bui | Sungkyunkwan University | GAN |
Minh Bui | Thuy Loi University | Minh Bui |
DANH bui | hufi | DNN |
Bao Bui Ngoc | Jeonbuk National University | Computer Vision, pattern recognition, segmentation |
Luna Buitrago | SUNY Downstate Medical Center | Sphingosine-1-phosphate |
Sayed Ali Raza Shah Bukhari | Jamil ur Rahman Ceter for Genome Research | Mitochondrial Genomes, Alzheimers |
Santi Bullich | Life Molecular Imaging GmbH | florbetaben SUVR cutoff |
Brendan Bullivant | University of California Santa Barbara | Machine Learning |
Saurabh Bundela | Jabalpur University | Deep Learning, Image Analysis, Genetic and Proteomics biomakers |
Ninon Burgos | University College London | PET synthesis |
Haroon Burhanullah | Johns Hopkins University | Mild Behavioral Impairment, Neuropsychiatric Symptoms, AMyloid PET imaging |
Samantha Burnham | CSIRO | Alzheimer's; genetics, Validation, Longitudinal |
Felicia Burtscher | University of Luxembourg | biomarker |
Hendrik Burwinkel | Technical University Munich | Graph-based deep learning, machine learning |
Tomasz Burzykowski | Center for Statistics | biomarker, Alzheimer's disease, biostatistcs |
Eva Bus | Vrije Universiteit Amsterdam | Machine learning; Supervised machine learning; Prediction |
Geraldo Busatto-Filho | USP | magnetic resonance imaging, cognitive reserve, PET, tau |
William Bush | Case Western Reserve University | Loss of Y, Copy Number |
Stephanie Buss | Beth Israel Deaconess Medical Center | cognitive reserve, exercise, education, music, social |
Aurelie Bussy | McGill University | Hippocampus Segmentation Aging Alzheimer's Disease |
Bernabe Bustos | Northwestern University | WES, Burden, rare variant analysis |
Paul Butler | Biogen | neuropsychology, Alzheimer's disease, MCI, aging |
Omar Butt | Washington Univeristy in Saint Louis | Resting State |
Omar Butt | Washington Univeristy in Saint Louis | Resting State |
Markus Butz-Ostendorf | Biomax Informatics | Big Data, semantic data integration, multimodal brain imaging, AD |
Gonca Buyrukoglu | Karatekin University | ANN, Random Forest |
Calin Buzea | IFT | medical physics |
Punith BV | International Institute of Information Technology Bangalore | Punith, Punith BV |
Sekhar BVDS | S R K R ENGG COLLEGE | alzheimer, Artificial network, Data scirnce |
Samantha By | Hyperfine | segmentation |
Gihwan Byeon | Seoul National University Hospital | Alzheimer, neurodegeneration, homocysteine |
Seonjeong Byun | Uijeongbu St Mary's Hospital College of Medicine, The Catholic University | texture, functional connectivity, mild cognitive impairment, progression |
Jiyoung Byun | KAIST | Alzheimer's disease |
Jihyun Byun | University of Johannesburg | Alzheimer's Disease, computer-aided diagnosis, deep learning |
Michał Błotko | Silesian University of Technology | MRI, Alzheimer, Data Science |
C C | c | c |
Sreelakshmi C | htic | Deep learning |
safna c a | CUSAT | Gene expression data |
Ricardo Alonso Caballero Luna | Universidad de Monterrey | MCI, AD, CONVERSION |
Emilio Cabañero | Universidad Autonoma de Madrid | degree project |
Ryan Cabeen | USC LONI | tools |
María del Rocío Cabello Toscano | Universitat de Barcelona | Cognitive Reserve; Alzheimer's Disease; Normal Aging; Functional Connectivity |
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 |
Maria Caceres | Universidad Catolica Boliviana "San Pablo" | Alzheimer |
Xavier Cadet | Imperial College London | Machine Learning, Dementia |
Frederic CADET | University of La Reunion | Machine Learning, Biochemistry, Genomics |
Samuel Cahyawijaya | HKUST | deep neural network, alzheimer disease, sequence modeling |
Fanco Cai | CQ | 1 |
erik cai | wenzhou university | multimodal neuroimaging |
Shangyu Cai | Szu University | AD FMRI |
Hailin Cai | Chongqing University | AD, |
Chunting Cai | Xiamen Univeersity | cct724724 |
Lingrui Cai | Ann Arbor Algorithms | autoencoder, unsupervised learning, feature extraction |
Congbo Cai | Xiamen University | Image reconstruction, Multimodal image, Deep learning |
bingyang Cai | SJTU | AD MRI PET |
Jiahui Cai | stu | AD |
Jinhua Cai | Sun Yat-sen Memorial Hospital, Sun Yat-sen University | lipids, apolipoprotein, cognition |
yan caiying | Nanjing Medical University | early diagnosis,Imageology,MRI |
Ismael L Calandri | Fleni | Machine learning, normal ageing |
Toro Caleb | University of North Dakota | biomarkers, feature selection methods |
Ryan Cali | UMass Medical School | Alzheimers, Machine Learning, Neuroscience |
Maria Eugenia Caligiuri | Università degli Studi Magna Graecia di Catanzaro | DTI, morphometry, AD, MCI |
Ana CALIN | Insa Rouen | Bayesian Networks |
Brandy Callahan | University of Calgary | diagnosis, neuropsychology, dementia, mci, norms |
Frederic Calon | Universite Laval | Alzheimer |
Noelia Calvo | Universidad Nacional de Córdoba | cognitive reserve bilingualism aging |
Eduardo Camacho | UPV | Artificial Intelligence, lesion segmentation |
Aldo Camargo | University of Maryland of Baltimoree | Longitudinal study,ASL, PET-FDG, |
Alex Campbell | University of Cambridge | deep learning, machine learning, fmri, diagnosis, unsupervised |
Kylie Campion | University of Wisconsin-Madison | Tau and beta |
Jacques-Yves CAMPION | Aix-Marseille University | machine learning, classify, alzheimer disease, fdg-pet, mri, discordance index |
Martha Rebeca Canales Fiscal | Instituto Tecnológico y de Estudios Superiores de Monterrey | Machine Learning, Classification |
Samuele Cancellieri | University of Verona | Multi-Omics,Radio Imaging,Machine Learning,Deep Learning,GWAS |
Vasco Candeias | INESC-ID | dynamic bayesian network, cloud computing, web, internet |
Sema Candemir | The Ohio State University Wexner Medical Center | computer aided detection/diagnosis, Alzheimer in early stages, prognosis, MRI, P |
Marco Canevelli | Sapienza University | frailty, aging |
Juan Cano | Uniandes | Machine learning, Diagnoses |
Antonio Cano Montes | ULisboa | medical deep learning |
Jose L. Cantero | Pablo de Olavide University | sleep2019 |
Yan Cao | University of Texas at Dallas | image analysis |
Jiguo Cao | Simon Fraser University | brain network, QTL mapping |
yingli cao | Jiangnan University | study |
Jiahang Cao | Beihang University | 区块链 |
Xuan Cao | University of Cincinnati | sMRI, fMRI, radiomics, generalized linear models |
Bo Cao | University of Texas Health Science Center at Houston | Machine learning |
Xuexiang Cao | Philips | Alzheimer, deep learning |
Jiahang Cao | Imperial College London | Alzheimer's disease, deep learning |
Guanqun Cao | Auburn University | functional data, ADNI |
weifang cao | shandong first medical university | aging neuroimaging |
Bing Cao | university of north carolina at chapel hill | medical image synthesis |
Jiahang Cao | Beihang University | deep learning model |
Lingcan Cao | Xi'an Jiaotong University | brain network dynamics, default mode network |
DANIEL CAPON | BLOOD SYSTEMS RESEARCH INSTITUTE | protein engineering, antibodies, amyloid beta, biomarker |
Camilla Caprioglio | University of Geneva | Alzheimer's disease, cognitive functions |
Jared Cara | Vivid Genomics | Genomics, machine learning, prediction, co-morbidities, pathology |
Pedro Henrique Caramalac | USP | Convolutional Neural Networks, Digital Image Processing, Alzheimer Disease |
Chiara Carbone | Università degli Studi di Modena e Reggio | Hippocampus, PhD |
Valerie Cardenas Nicolson | Palo Alto VA | fMRI, DTI, T1, rTMS |
filippo carducci | university of rome | PET AD |
Bruce Carlson | Ohio University | education |
Jeremy Carmasin | Massachusetts General Hospital | PIB FDG AD MCI |
Owen Carmichael | UC Davis | cortical thickness |
Diedre Carmo | Faculty of Electrical and Computer Engineering - UNICAMP | Deep Learning, Hippocampus Segmentation |
Paula Carmona Gallego | Universidad autónoma de Manizales | Machine learning |
Miguel Adolfo Caro Parrado | Universidad Nacional de Colombia | brain aging patterns |
Lucy Carolan | Newcastle University | fine art, sculpture, installation, artists' books, sciart |
Anna Caroli | Istituto di Ricerche Farmacologiche Mario Negri IRCCS | COVID-19 |
Sarah Carr | Case Western Reserve University | amyloid, POSET |
Thomas Carr | University of East Anglia / Norfolk & Norwich University Hospitals | Tensorflow, Machine Learning, CNN, RNN, Big Data, Pretraining, Transfer Learning |
Valerie Carr | San Jose State University | teaching |
Minerva Carrasquillo | Mayo Clinic | CAA, neuroimaging, intracerebral hemorrhage, GWAS |
ANGEL CARRILLO BERMEJO | INSTITUTO DE INVETSIGACIONES EN MATEMATICAS APLICADAS Y EN SISTEMAS | DEEP LEARNING |
Fernando Carrió Argos | Instituto de Física Corpuscular - University of Valencia | Deep Learning, Super Resolution, FPGA |
Caitlin Carroll | Wake Forest School of Medicine | glucose metabolism, Alzheimer's |
Greg Carter | The Jackson Laboratory | epistasis, pleiotropy, genetic association |
Jake Carus | Biogen | Symposium |
Emily Carvajal | Universidad del Valle | preprocessing, standarization |
Vítor Carvalho | IF SUDESTE MG | MRI Image, Machine-learning, Alzheimer's Disease |
Alexandra Carvalho | Instituto Superior Tecnico | Time series analysis |
Sofia Carvalho | Universidade do Minho | neuroimaging, mri, alzheimer, prediction |
Greg Cary | Jackson Laboratory | genetic association, drug targets |
Adrià Casamitjana | Universitat Politència de Catalunya | PhD, machine learning, bioengineering, early stage of AD |
Adrià Casamitjana | UCL | MRI, preclinical, machine learning |
Ramon Casanova | Wake Forest University School of Medicine | Machine Learning, Regularization |
David Cash | University College London | familial Alzheimer's disease, volumetric MRI, cerebral atrophy |
Isabella Castiglioni | National Reserach Council | AD, MCI, image classification, diagnosis, MRI, PET |
Jose Maria Castillo-Secilla | University of Córdoba | AD, Alzheimer, Deep Learning, GPU |
Camilo Castrillon | Universidad Autonoma de Occidente | Alzheimer disease, machine learning, Middle cognitive impairment, limitations |
Eduardo Castro | IBM Research | longitudinal, Alzheimer's disease, multimodal, multivariate, predictive |
Mac Gayver Castro | University Center Christus | Alzheimer disease, imaging, algorithms |
JUAN ANTONIO CASTRO SILVA | UNIVERSIDAD DE SALAMANCA | medical image analysis, alzheimer's disease |
Ana Sofia Castro Verde | Champalimaud Foundation | DTI rsfMRI |
David Catanho | o8t | DICOM MRI T1 |
Francesca Catto | University Hospital Zürich | Alzheimer, PET, scans, raw data |
Pedro Cavalcanti | UFRN | Image Processing, MatLab. |
Michele Cavallari | Brigham and Women's Hospital, Harvard Medical School | amyloid, perivascular spaces, glymphatic |
Enrica Cavedo | Qynapse | hippocampus |
Kyra Cebula | University of Manitoba | brain imaging |
Emilio Cecchini | Univerity of Florence | deep learning,machine learning,3d,classification |
Gaffari ÇELİK | Ağrı İbrahim Çeçen Universitesi | Alzheimer’s Disease, Deep Learning |
William Ceriale | University of Washington | Machine Learning, Neural Network, Alzheimers |
Stefano Cerri | DTU | segmentation atrophy |
Ricardo Cerri | Federal University of Sao Carlos | machine learning, SNPs, Alzheimer Disease |
Tess Cersonsky | Brown University | AD Risk, Machine Learning, Predictive Modeling |
Hyunsil Cha | Kyunpook National University | fMRI |
Hyunsil Cha | Kyunpook National University | MR image processing |
Yoonjeong Cha | Immuneering | target identification, pathology, survival analysis, pathway analysis |
Marwa Chaabane | Ecole nationale d'Ingénieurs de Sfax, TUNISIA | Alzheimer disease, fMRI, graph theory |
Satish Chada | Pulmonary Services of North Texas | Machine Learning, Artificial Intelligence, MCI, AD, COPD |
Clement Chadebec | Université de Paris | Deep learning, classification |
Pavan Chaggr | University of Oxford | Alzhiemer's, morphology, degeneration |
Kalayanee Chairat | King Mongkut's University of Technology Thonburi | GWAS |
SABYASACHI CHAKRABORTY | Inje University | Alzheimer, Parkinson |
ADITYA CHAKRABORTY | UNIVERSITY OF SOUTH FLORIDA | STATISTICAL MODEL, Alzheimer's disease, |
Daniel Chalupa | Brno University of Technology | Pharmacokinetic Modeling, Multiple Classifier Systems |
Jordan Chamberlain | The Pennsylvania State University | ADNI3 advanced diffusion, Siemens Advanced Prisma VE11C |
Harshil Champaneria | Arizona State University | Research Project on Deep Learning |
Christina Chan | Michigan State Univ. | NCI-DREAM 8.5 |
Eldon Chan | University of California, Berkeley | Deep Learning, Alzheimer's Recognition and Prediction |
Jason Chan | University of Calgary | Gene expression, amyloid, tau, neurodegeneration, PET, MRI |
Elaine Wan Ling Chan | International Medical University | SVM classifier for the determination of progressive deterioration of AD |
Kannie WY Chan | City University of Hong Kong; The Johns Hopkins University School of Medicine | MRI, AD, deep learning |
Yi Hao Chan | Nanyang Technological University | Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets |
Huang Chan-Yi | Acer | Brian MRI |
Steven Chance | Oxford brain diagnostics | MRI, DTI, AD, MCI |
Ganesh Chand | Washington University in St. Louis | T1 weighted MRI, cognitive scores |
Mayurakshi Chanda | National Institute of Technology Silchar | Deep learning, Neural network |
Tirtha Chanda | University of Magdeburg, Germany | disease |
Maya Chandar | Canterbury School | Alzheimer's Disease, mild cognitive impairment, neurodegeneration, algorithm |
Trevor Chandler | Artificially Intelligent | Alzheimer’s, Amyloid, Memory, Brain |
Hannah Chandler | Cardiff University | MRI PET genetic risk |
YASHVI CHANDOLA | GBPIET | ALZEIMER DISEASE, CAD SYSTEM |
Avinash Chandra | King's College London | Alzheimer's disease; amyloid; tau; genetics |
Subhadeep Chandra | National Institute of Technology, Durgapur | CNN |
Harish Chandran | Griantek | correlation analysis, linear discriminant analysis, brain multiplex |
Changgee Chang | University of Pennsylvania | integrative analysis, multi-task learning |
HanI Chang | Ajou | AD |
Ze Chang | huazhong university of science and technology | diagnosis |
Jeryn CHang | The University of Queensland | Hypothalamus; BMI; DWI |
QU chang | Hebei University of Technology | Dysfunction and stemness of tumor-infiltrating T cells are triggered by a common |
Ya-Hsuan Chang | University of Kentucky | Data analysis |
RUI CHANG | University of Arizona | Alzheimer's, Sex difference |
Minyu Chang | Cornell University | Fuzzy-trace theory; factor analysis |
ali chang | Advantech | alzheimer |
Hui-Ming Chang | Chung Shan Medical University | VBM/AD |
Timothy Chang | University of California, Los Angeles | Rare variant analyses, genetics, whole genome sequencing |
Jose Chang Irias | Halmstad University | Convolutional nueral networks, Lewy body dementia, dementia detection |
Monir Changizi | Shahidbeheshti university | sleep,insomnian,alzheimer's disease,dementia |
RYU CHANJU | BUNDANG CHA HOSPITAL | Deep learning |
wang chao | Fujian Medical University | brain regions; Alzheimer's disease |
Li Chao | Beijing Jiaotong University | Incompletion Multi-model Data learning,Missing Data Completion |
Li Chao | Institute of Automation, Chinese Academy of Sciences | early stage, classification, MCI, AD |
suo chao | xiangtan university | Due to low intensity contrast around ROI boundary and large inter-subjectvarian |
wang chao | fujianyikedaxue | study; Alzheimer's disease;clinical manifestations |
bu chao | DONGHUA UNIVERSITY | AD |
wang chao | North University of China | Wl940414.+0 |
Marianne Chapleau | Douglas Research Center | cognition, tau-PET, amyloid-PET |
James Chapman | UCL | Machine Learning Neuroimaging Brain Behaviour Associations |
Zachary Chappell | Institute of Psychiatry, Psychology & Neuroscience, King's College London | Diffusion MRI, multicompartment models, MCI, AD |
Evangelos Chartampilas | AHEPA University Hospital Thessaloniki | JadBIO Machine learning dementia |
Christine Charvet | Delaware State University | Cortex |
Danai Chasioti | IUPUI | polygenic, alzheimer's |
Lina Chato | University of Nevada, Las Vegas | MRI brain images, T1, flair, T2 |
Abhinaba Chatterjee | Weill Cornell Medical College | Deep learning |
PUBALI CHATTERJEE | UNIVERSITY OF CALCUTTA | Image Segmentation |
Snehashis Chatterjee | university of calcutta | DEEP LEARNING |
Wing Fung Chau | Cardiff University | Big Data, lipids and metabolites |
Madhav Chaudhary | Coventry University | Deep Neural Networks, Alzheimer's, Machine Learning, Data Science |
Ganesh Chauhan | Centre for Brain Research, Indian Institute of Science | cerebral small vessel disease, genome wide association, vascular risk factors |
Laurent Chauvin | Ecole de Technologie Superieure | Local Features, Subject Identification |
Shital Chavan | SITS | MRI,CT,AD,MCI |
Stylianos Chazichronis | National and Kapodistrian University of Athens | Alzheimer's disease, Supervised learning, AD development |
Yanqiu Che | Penn State College of Medicine | MRI; Alzheimer's Disease; Machine Learning |
Tongtong Che | Shandong Normal University | group-wise registration |
Aditya Chebrolu | Brain Health Alliance | PET, MRI, co-registration, image fusion |
Gal Chechik | Bar-Ilan University | Deep learning |
Lovena Chedumbarum Pillay | University of Oxford | MCI, AD, Predictive Analytics, Amyloid |
Christel Chehoud | Janssen | Deep Learning |
hongyu chen | shanghai Nyuen | fMIR, GCN |
Chao Chen | Stony Brook University | Image analysis, deep learning. |
Xu Chen | SAS Inc | Machine Learning |
Battle Chen | FZU | multi-modal |
Gavin Chen | Tianjin University of Technology and Education | czc960229 |
qiang chen | Donghua University | segmentation |
Jinxin Chen | Chengdu University of TCM | alzheimer,sleep disorders,fMRI |
Ming-Hui Chen | University of Connecticut | Uncertain endpoints; Measurement error; Validation subsample; Survival analysis |
Dongxuan Chen | Southeast University | brain,classifier |
HongGuai Chen | NCU | BDBC-2020 |
hu chen | Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch | 3D convolution,saliency maps, |
xiaotong Chen | huashan hospital of fudan university | Alzheimer's disease; biomarker; blood-based |
Irene Chen | MIT | machine learning, subtypes, disease progression |
Li Chen | University of Washington | Image processing |
Siying Chen | BUAA university | study |
Baolin Chen | Shanghai Uiversity of Finance and Economics | functional data analysis, samples of density functions |
yaru chen | Jiangsu university | Health analysis |
Bocheng Chen | huazhong university of science and technology | graphic analysis, PET |
Meng Chen | Southeast University | early diagnosis |
Zihao Chen | Shanghai Jiao Tong University | MCI AD predicting model |
Hao Chen | Shandong University of Finance and Economics | Brain Network Analysis, Alzheimer's disease, Classification |
Jason Chen | University of California, Los Angeles | Network analysis, TBM, personalized medicine |
Zhi Chen | University of Electronic Science and Technology of China | computer vision, neuroimaging recognition, classification |
Qingmeng Chen | Tokyo Medical and Dental University | DTI, 3D-T1, Multiple sclerosis |
Eric Chen | Indiana University School of Medicine | Tau, Braak regions, PET |
Yuhang Chen | University of Science and Technology of China | littlebear888 |
saiyuan chen | 重庆邮电大学 | study |
YINGJIA CHEN | Genentech | safety |
EDDIE CHEN | Stony Brook | machine learning, AI, MCI, AD |
Liang Chen | University of Macau | miRNA, biomarker |
Dong Chen | Southeast University | cdx314159 |
Jinyang Chen | University of Georgia | Deep Learning, Machine Learning, Disease Diagnosis, Classification |
JIANGWANG CHEN | SUNY BUFFALO | MRI |
GUILIAN CHEN | SHENZHEN UNIVERSITY | unsupervised segmentation |
wuyang chen | Central South University | multimodal,registration |
Huimin Chen | Beijing Tiantan Hospital, Capital medical university | cognitive impariment, perivascular space, Abeta/tTau |
Guan Wen Chen | NTHU | Alzheimer |
Lihui Chen | Sichuan University | Academic study |
Li Chen | Indiana University School of Medicine | GWAS, functional analysis, meta-analysis |
huachang chen | Vanderbilt University Medical Center | imputation; methodology; evaluation; bioinformatics |
wu chen | Huazhong University of Science and Technology | image processing |
Lin Chen | Johns Hopkins University | MRI, PET |
Qiufeng Chen | Fujian Agriculture and Forestry University/China | functional connectivity |
fangyi chen | Hebei University of technology | classification tasks |
junchao chen | Beijing University of Astronautics | cjc20011224 |
Jingyun Chen | NYU School of Medicine | PET, Tau, Abeta, normalization |
Ling Chen | Zhejianglab | Graph convolutional network |
Rong Chen | University of Maryland School of Medicine | machine learning |
Keyu Chen | Liaoning Normal University | Resting state; dynamic; fMRI; Classification |
Xi Chen | University of Rochester Medical Center | APOE |
Yu-An Chen | National Yang-Ming University | Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif |
Fang Chen | jackson state university | image deep learning Alzheimer's |
Danni Chen | UCLA | deep learning, medical imaging, explainable AI, attention model |
Qian Chen | Nanjing Drum Tower Hospital | Subjective memory complaint, Neuroimage, Biomarker |
Lele Chen | Nanjing University | fmir, lifestyle, AD, Comorbidity, brain network |
Yanghaoyu Chen | UF | Machine learning |
Ke CHEN | University of Nottingham | machine learning, early diagnose |
Mingzhu Chen | Fudan University, Shanghai, China | computer-aided medical image analysis |
Yu-Chi Chen | Monash University | cortical morphology, machine learning |
Chang Chen | Nanjing Drum Tower Hospital, Medical School of Nanjing University | neurologist |
Chang-Le Chen | National Taiwan University College of Medicine | Diffusion MRI, White matter, Fiber cross-section |
Jiu Chen | Nanjing Medical University | AD, aMCI, DTI, sMRI, fMRI |
changhao chen | National Central University | CNN SVM LR |
Mingzhu Chen | Fudan University, Shanghai, China | computer-aided medical image analysis, algorithm |
Bingxu Chen | UCSD | Image Co-registration |
Xiao Chen | Beijing Normal University | Alzheimer’s disease,defalut mode network |
Yanxi Chen | Arizona State University | GWAS |
Tianyi Chen | University of Sheffield | cj18954310106 |
Yingchuan Chen | Beijing Tiantan Hospital | PD, fMRI, machine learning |
Xinqi Chen | Guangdong University of Technology | computer vision, generative adversarial networks, synthesis of medical images |
Jun Chen | University of Michgan | data fusion |
William Chen | MagQu LLC | Longitudinal study, differentiate diagnosis, neurodegenerative diseases |
Fangzheng Chen | Shanghai Jiaotong University School of Medicine Ruijin Hospital | cognition AD |
Kevin Chen | Stanford University | multimodal imaging, image post-processing, spatial resolution |
Xu Chen | University of North Carolina | MRI segmentation |
durong chen | shanxi medical university | Parkinson |
Dingfan Chen | max planck institute for informatics | Anomaly detection, deep generative model |
Gengsheng Chen | Washington University in St. Louis | amyloid, gwas |
yulong chen | zhengzhou university | MRI hippo subfeild segmentation |
Yu Chen | Central South University | Do some researches about the AD |
liangming chen | Lanzhou University | neural network, deep learning, Alzheimer |
Hanyi Chen | University College London | subtype, disease progression, SuStaIn, AD |
Tianhua Chen | University of Huddersfield | fuzzy systems, convolutional neural network, clinical decision support |
Xin Chen | Shanghai East hospital, Tongji University, School of Medicine | Neurodegeneration, Alzheimer,cognitive impairment |
Yihe Chen | Second Affiliated Hospital,Zhejiang University School of Medicine | perivascular space |
Xiao Chen | Amy Medical University, Daping Hospital | Amyloid PET, Alzheimer’s dementia, Amyloid staging |
Xiaocong Chen | The University of New South Wales | Early Detection, Machine Learning |
Ziliu Chen | Guangzhou University of Chinese Medicine | Aizheimer |
Ting-Huei Chen | Laval University | structural equation modeling |
Xin Chen | University of Nottingham | Longitudinal image feature extraction; disease diagnosis. |
Gang Chen | Medical College of Wisconsin | fMRI, MRI |
jiaao chen | Queen's University | research |
Junjie Chen | Temple University | computational methods, integrative analysis, casual factors |
Kefan Chen | university of sydney | Alzheimer's patients |
Yiming Chen | University of Maryland | neural network |
Xiang Chen | University of Leeds | Image Registration, Deep learning |
Xiaozheng Chen | Xiamen University | neuroimaging, dynamic functional connectivity, deep learning, |
Qianyun Chen | The Chinese University of Hong Kong | deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease |
Haifeng Chen | Affiliated Drum Tower Hospital, Nanjing University Medical School | memorry function; rTMS; multimodal neuroimaging |
Sherry Chen | The University of Sydney | Frontotemporal dementia, longitudinal, neural correlates, cognition |
sijie chen | Yitu healthcare technology | AD, classification, CNN |
Tao Chen | Wuhan University | Alzheimer’s Disease, visual features, MRI |
Yuanyuan Chen | Northwestern Polytechnical University | Alzheimer’s disease; Mild cognitive impairment;Deep learning |
Li chen | national university of defense and technology | 8722471 |
Yuzhong Chen | UESTC | CNN AD |
Sophie Chen | Beijing University of Technology | fMRI classification |
Keping Chen | Southeast University | AD; circular RNA |
Huan Chen | Johns Hopkins Bloomberg School of Public Health | FDR control, variable selection |
Lin Chen | Johns Hopkins University | MRI, PET |
Shuo Chen | National Innovation Institute of Defense Technology | deep learing, super resolution, medical imaging |
Shuang-Qing Chen | the Affiliated Suzhou Hospital of Nanjing Medical University | Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning |
Chen Zi Yang Chen Zi Yang | Guangdong University of Technology | ADNI ; GAN; image segmentation |
YYUAN CHENG | JILIN UNIVERCITY | DATASET |
Weili Cheng | North China University of Water Resources and Electric Power | Time-dependent ROC curves with missing biomarkers |
Jiaqi Cheng | University of Canterbury | CNNs model interpretability |
Ruida Cheng | NIH | brain segmentation and classification |
Wai Ho CHENG | The Hong Kong Polytechnic University | AD and mild cognitive impairment |
Iris Cheng | Brown University | Alzheimer's, sex, apoe, cognition |
Chenganen Chenganen | GuangDongBaiYun University | ADNI; FCN; GAN; predict |
Tanya Chenhall | Cogstate | Cogstate |
Zhang Chenlin | Southwest University of Finance and Economics | 010101icy |
chenpeng chenpeng | The First Affiliated Hospital of Guangxi Medical University | ASL,fMRI,Cognitive impairment |
Li Chenping | Central South University | Alzheimer's disease |
EUNJEONG CHEON | Daegu university | dementia, biomarker |
ibtissem cherfa | université de Bejaia | 01031950 |
Konstantin Chernukha | Temple University Health System | glymphatic pathway malfunction, dementia, screening |
Anthony Chesebro | Columbia University | Network Model, Alzheimer's |
Eva Cheung | University of HK | MRI PET AD MCI |
Mark Cheung | Carnegie Mellon University | graph neural network, Spectral theory, neuroimage |
Utkarsh Chhapekar | Manipal Institute Of Technology | Prediction, Alzheimers, Deep Learning |
Jingyi Chi | University of Pennsylvania | Deep Learning, GAN, MRI |
Gloria Chiang | UCSF | DTI |
Yuhei Chiba | Yokohama City University | Immunoogy autoantibody MRI |
Lee Chien-Yi | Brain Navi biotechnology company | AI, image registration |
Matteo Chieregato | Fondazione Poliambulanza, Brescia, Italy | CNN, MRI, CSF |
deng chijun | University of Electronic Science and Technology of China | fmri |
Junichi Chikazoe | National Institute for Physiological Sciences | fMRI, MVPA |
Geetha Soujanya Chilla | A*STAR | Segmentation |
Sri sruthi Chilukuri | San Jose state university | Disease, outbreak, analysis , solution |
Andrea Chincarini | INFN | longitudinal studies, MCI, network, atrophy measurements |
Vernon Chinchilli | Penn State College of Medicine | GENOMICS, IMAGING, EPIGENOMICS, METABOLOMICS, |
Konstantinos Chiotis | Karolinska Institutet | AD, MCI, PIB, FDG, AV-45 |
YOGITA CHITRIV | Yeshwantrao Chavan College of Engineering, Nagpur | Brain Image, Alzheimer, Segmenation, Classification |
Dong Ho Cho | Korea Advanced Institute of Science and Technology (KAIST) | Machine Learning, Biomarker, Classification, Diagnostic |
Hyun Jae Cho | University of Virginia | knowlege extraction, machine learning, Alzheimer's disease |
hyugrae cho | samsung electronics | AI, machine learning |
HyungJin Cho | University of Southern California | Alzheimer's Disease Neuroimaging Initiative (ADNI) |
Youngjoo Cho | The University of Texas at El Paso | Survival analysis, Prediction models |
Patricia Chocano-Bedoya | Bern Institute of Primary Care | metabolomics biomarkers dairy cognition |
Sandra Chocron | UT Health San Antonio | ceramide catabolism |
Mark Choe | NCIRE | Imaging, Processing |
Young Min Choe | Dongtan Sacred Heart Hospital | Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression |
LEE CHOEL HUI | Korea University | Alzheimer's disease |
byung hyug choi | KAIST / korea | machine learning, network embeddings, Alzheimer feature extraction |
Tae-Min Choi | KAIST | Deep learning, classification, early diagnosis |
James Choi | Sabio Research | Alzheimer Machine Learning Neural Networks |
Woo Hee Choi | College of Medicine, The Catholic University of Korea | striatum, amyloid PET, tau PET |
Seo-Eun Choi | University of Washington | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
hyujin choi | korea university | hyunjin |
Kyu Sung Choi | Korea Advanced Institute of Science and Technology (KAIST) | follow-up |
Eun Young Choi | Stanford University | thalamus, rsfMRI |
Yong-Ho Choi | hanyang university | Imaging genetics |
Junsik CHOI | Korea Univ. | Deep learning |
Yoon Seong Choi | Severance Hospital, Yonsei University College of Medicine | Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET |
Hongyoon Choi | Cheonansi Public Health Center | Metabolic network, FDG, Amyloid |
Sunghoon Choi | Korea Research Institute of Standards and Science | Generative adversarial network, synthetic PET |
Yu Yong Choi | Chosun University Hospital | ethnic differences, normal aging |
duck ho choi | Sung Kyun Kwan Univ. | Alzheimer |
Anthipa Chokesuwattanaskul | King Chulalongkorn Memorial Hospital | Alzheimer's disease, mild cognitive impairment |
Shin Wee Chong | Carl-von-Ossietzky Universität Oldenburg | Advance longitudinal modeling, structural equation, bidirectional relationship |
chee keong chong | University Teknologi Petronas | CNN, deep learning, classification, |
Jill Chotiyanonta | AnatomyWorks, LLC | Brain MRI, Neuroanatomy, Segmentation |
Yu Wen Chou | National Chin-Yi University of Technology | Deep learning |
Hsiang-Chin Chou | Massachusetts General Hospital | SEX, 18F-Flortaucipir (FTP)-PET signal, Abeta-PET |
zheping chou | First affiliated hospital of Suzhou University | multi-modal imaging markers cognitive decline. |
SOURABH CHOUBEY | Indraprastha Institute of Information Technology Delhi | Detection, Machine Learning, Diagnosis |
Amit Choudhari | Tata Memorial Hospital | dti |
Vincent Chouraki | Institut Pasteur de Lille | GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker |
Ioanna Chouvarda | VTT | network analysis, causality |
Samadrita Chowdhury | University of Massachusetts,Lowell | Graphs, CNN, PET, FMRI |
Luke Christenson | Mayo Clinic | Data, MRI, PET |
FOTEINI CHRISTIDI | ADVANTIS MEDICAL IMAGING | multimodal neuroimaging; ageing; dementia; neurodegeneration |
Amanda Christini | Blackfynn, Inc | Algorithms, data integration, multimodal data biomarkers |
Chu Yang Chu | China Jiliang University | Research, learning |
Nan Chu | National Central University/CWLab International | brain image data bank, AI analytics, neurotechnology |
Wang Chu | Nanjing University of Science & Technology | imaging data |
Winston Chu | University of Florida | diffusion MRI, AD, free water, basal forebrain |
michelle chua | Melbourne Heath | alzheimers |
Russ Chua | Institute for Infocomm Research | computer vision |
Adichan Chuajinda | Siriraj hospital | Dementia risk |
jayrajsinh chudasama | Birla Vishvakarma Mahavidyalaya | dataset mri image with label |
Evgeny Chumin | Indiana University-Bloomington | connectivity, tau, graph theory. |
Timothy Chun | Veteran's Affairs | Machine Learning |
Ina Chun | n/a | CNN, visualization, deep learning |
Chang Chun Yang | National Cheng Kung University | Alzheimer , Amyloid PET |
Chang Chun Yang | National Cheng Kung University | Amyloid PET |
Tung Chun-Wei | Taipei Medical University | biomarker research |
Ming-Hua Chung | Radiologics | resting state fMRI DICOM |
Jaeyoon Chung | Boston University School of Medicine | GWAS CSVD stroke ICH |
Yunro Chung | Arizona State University | Biostatistics; biomarker |
Hyun Jy Chung | Stony Brook University | FWER |
shi chunlei | Beijing Normal University | Machine Learing,Hidden information |
Tang Chunyan | The second affiliated of Chongqing Medical University | tcy972626 |
jiang chunyu | NEU | jcyypbed627! |
YJ CHYU | Brain institue | Thank you |
Silvia Ciappelloni | OnePoint Group | images analysis AI deep learning |
Andrea Ciarmiello | Medicina Nucleare - S. Andrea Hospital | Mci trajectory, Deep learning, onset prediction |
Alessandro Cicerale | Università degli Studi di Torino | Hippocampus, ml |
Filippo Ciceri | Oryzon Genomics S.A. | AD progression, PhIIa clinical study |
Filippo Cieri | Cleveland Clinic | resting state; entropy; mci; cognitive reserve. |
Ignacio CIfre | URL | fRMI, dFC, FC |
David Clark | Indiana University | Alzheimer disease, structural MRI, arterial spin labeling, verbal fluency |
Andrea Clark-Sevilla | Johns Hopkins APL | precision medicine, brain biomarkers |
Jamie Clarke | University of Miami | CSF biomarkers, Alzheimer's disease, NPS, NCI |
David Clayton | Genentech | image processing, Alzheimer's disease, MRI |
Mark Clement | Brigham Young University | DREAM Challenge |
Albert Clèrigues | Universitat de Girona | atrophy, pbvc |
James Clifford | college of san mateo | Alzheimer's disease |
David Clunie | PixelMed Publishing and RadPharm, Inc | DICOM compression |
Bethany Coad | Cardiff University | Thalamus Amyloid |
William Coath | UCL (University College London) | PET, amyloid, SUVR, Centiloid |
Bernard Cobbinah | University of Electronics Science and Technology of China | Convolutional Neural Networks |
Derin Cobia | Brigham Young University | Thalamus, clinical phenotype, AD, neuropsychology |
Yann Cobigo | Unversity of California San Francisco | Dementia, Normal Aging |
Leandro Coelho | Pontifical Catholic University of Parana | machine learning, fMRI, deep learning. |
Mirthe Coenen | UMC Utrecht, The Netherlands | white matter hyperintensity, memory clinic patients, lesion symptom mapping |
Hugo Cogo-Moreira | Universidade Federal de Sao Paulo | Dynamic structural Equation modeling, latent variable, multilevel analysis |
Petrice Cogswell | Mayo Clinic | MRI, aging |
Cynthia Cohen | California Southern University | Alzheimers |
Brett Cohen | King's College London | MCI, MRI, phantom |
Carl Cohen | SUNY Downstate Medical Center | Alzheimer's disease; cognition, course trajectory |
Melanie Cohn | UHN - Toronto Western Hospital | Basal Forebrain |
James Cole | Imperial College London | Aging, Machine learning, T1, DTI |
Diego Collazos-Huertas | Universidad Nacional de Colombia sede Manizales | Deep Learning, Convolutional Neural Networks, Data Representation |
Patrick Colletti | USC | Dementia; FDG PET; MRI volumetry |
David Collier | Eli Lilly and Company Ltd | Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s |
Robert Comley | Abbvie inc | PET, MRI |
Zhen Cong | Dalian University of Technology | Image Translation |
wamg congcong | anhuidaxue | Visual medicine |
yin congfeng | Tsinghua University | experiment, deep learning models |
Lindsay Conner | University of Central Florida | Adult Development and Aging; Healthy Aging; functional connectivity; structural |
Joanne Conover | University of Connecticut | Aging, Alzheimer's disease, MRI, FLAIR-MRI |
Maria Constantinou | University of Cyprus | MRI, resting state fMRI, deep learning |
Cat Conti | NCIRE | admin core |
Shanna Cooper | UCSD | tau, NPS, cognition |
Shanna Cooper | VA San Diego / UC San Diego | NPI, family history |
Michael Coopman | University of Texas at Arlington | Medical image registration, Image segmentation, Voxelmorph, Deep learning |
Gianfilippo Coppola | Yale University | deep learning, AD subtypes |
Devani Cordero | Massachusetts General Hospital | segmentation hippocampus |
Aldo Cordova Palomera | Takeda | Neuroimaging, Genetics, Neurodegeneration |
Ronal Coronado | Biomedical Imaging Center, Pontificia Universidad Catolica de Chile | Gridding artifacts |
John Corradi | Arvinas, Inc. | CSF, biomarkers, proteostasis |
Nicole Corso | Stanford University | default mode networks, networks, imaging |
Constanza Cortes | University of Alabama at Birmingham | exercise, skeletal muscle, CNS aging, Alzheimer's Disease |
Ana Sofia Costa | University Hospital RWTH Aachen | amyloid deposition, microangiopathy, microbleeds, phenotype, progression |
Bruno Costa | USP | CNN |
Gabriele Costante | University of Perugia | RNN AD PET |
Alejandro Costoya-Sánchez | University of Santiago de Compostela | Alzheimer's Disease, PET imaging, tau pathology, Flortaucipir |
Victor Costumero | Universitat de València | mild cognitive impairment; fractal dimension; gyrification index |
Olivier Coubard | CNS-Fed | Neuropsychology, Aging, Eye movements, Vision |
Gillian Coughlan | Baycrest | Biomarkers, Alzheimer's disease, resting-state fMRI |
Pierrick Coupé | LaBRI UMR 5800 | hippocampus |
Matthieu Coupet | XLIM | Deep learning MRI |
Megan Courtman | University of Plymouth | Parkinsons Disease, machine learning, AI, neural networks, MRI |
Elizabeth Couser | University of Maryland, Baltimore | imaging, Alzheimer's |
Oliver Cousins | King's College London | TREM2 CD33 genetic Alzheimer's risk factors. |
Baptiste Couvy-Duchesne | Institute of Molecular Bioscience | Advanced brain aging, prediction, structural MRI |
Hannah Cowley | Johns Hopkins University Applied Physics Laboratory | connectomics, precision medicine, data science |
Timothy Cox | CISRO | Cognitive Composites, PACC, Disease trajectory |
Kevin Coyle | Florida State Univeristy | Machine Learning Biomarker Nueral Network Early Identification Infomation. |
Breanna Crane | Vanderbilt University | Atrophy, Connectivity, MCI |
Skyler Cranmer | The Ohio State University | functional connectivity, deep learning, exponential random graph models, LSM |
Byron Creese | King's College London | polygenic risk score, alzheimer's disease, psychosis, delusions, hallucinations |
Samuel Crerar | University of Hull | deep learning analysis prediction |
Carlos Crespo | Methinks Software | Deep learning |
Maria Crespo | arraste | processing and MRI |
Ariela Crestani | Sao Jose do Rio Preto Medical School (FAMERP) | lipid metabolism, protein modification, palmitoylation, metabolomics, lipidomics |
Ivor Cribben | University of Alberta | Networks; Longitudinal networks; Resting state |
Alessandro Crimi | University of Zurich | radiogenomics |
Alexandru Cristiean | University of Sussex | bachelors |
Greg Cron | The Ottawa Hospital | perfusion, ASL, DCE, DSC, MRI |
Philip Crooke | Vanderbilt University | A-to-I editing, inflammation, biomarkers |
Carlos Cruchaga | Washington University School of Medicine | CSF, plasma, RBM, GWAS, whole-genome |
Erica Cruz | Old Dominion University | Machine Learning, Deep Learning, Alzheimers Disease |
Hugo Cruz-Suárez | Benemérita Universidad Autónoma de Puebla | Big Data, Hidden Markov Models, Stochastic optimization |
Math Cuajungco | California State University Fullerton | Neuroscience |
Jing Cui | Centre hospitalier universitaire vaudois | The Human Brain Project |
xiaonan cui | hangzhou dianzi university | one class classification |
Dong cui | 1978 | cd_ggh100200 |
Licong Cui | The University of Texas Health Science Center at Houston | Informatics tool, ontology, hypothesis generation |
kunpeng cui | ZhengzhouUnivercity | medical image registration |
Jing Cui | GSK | endophenotype GWAS, subtype AD |
JIANAN CUI | Massachusetts General Hospital | medical image processing |
Nicholas Cullen | Lund University | plasma |
Kamryn Cullen | George Mason University | Biomarkers, Data Analytics, Health Factors |
Irene Cumplido Mayoral | BarcelonaBeta Brain Research Center | amyloid, machine learning, prediction, classification |
Charles Cunningham | University of Toronto | 13C lactate ANLS |
Geoff Currie | Charles Sturt University | artificial neural network, machine learning |
Sean Curtin | IAM | Alzheimers vs. Healthy Brain Research |
David Curtis | UCL | sequence variant DNA |
Scott Curtis | Newcastle University | Machine Learning, Deep Learning, Undergraduate, Dissertation, Research |
Daniel Cutter | University of Birmingham | CNN, conv net, convolutional neural network |
Renjith CV | JSPM RSCOE | deep learning |
Max Cynader | University of British Columbia | Alzheimer's Disease, machine learning, cognitive impairment risk |
Esha Cyril | Pioneer Academics | highschooler, neural networks, ADNI data |
Alexis Czippel | University of Victoria | Superagers, superaging, functional connectivity |
Per Steffen Czolbe | University of Copanhagen | Medical Image Registration |
Saai Sudarsanan D | SASTRA Deemed to be University, Thanjavur | Data Analytics, CNN Algorithms, Machine Learning, GatesNotes |
ty d | Shanghai Maritime University | fMRI |
SRUTHI D S | TKM College of Engineering Kollam | multi-modality diagnosis |
Federico D'Agata | University of Turin | hippocampus; machine learning |
Giovanni D'Ambrosio | University of Guelph | Impact, MRI, |
Bendan Da | Beijing University of Technology | Alzheimer's Disease |
Arthur da Silva Neumann | Universidade Federal do Rio de Janeiro | biomarkers, plasma, CSF |
Baik Da young | Hankuk University of Foreign Studies | medical image analysis with deep learning |
Sanaz Dabiri | Howard University | Alpha-synuclein, inflammation, tau, AD |
Zhang dachuan | FUDAN UNIVERSITY | study |
Michael Dada | Federal University of Technology, Minna, Nigeria | Machine learning, MRI, ANN |
Mahsa Dadar | McGill University | small vessel disease, white matter hyperintensities |
Mahed Dadgostar | MISP_mui | fmri nifti |
Kamalaker Dadi | INRIA | fMRI |
Anant Dadu | UIUC | Machine Learning, Predictive Modeling, Alzheimer's Disease, Progression |
Jeffrey Dage | Eli Lilly and Company | Biomarkers |
Dale Dagenbach | Wake Forest University | functional connectivity, hubs, AD |
Joseph Dagher | The MITRE Corporation | T1w, MRI, identification, biometrics |
yousra dahdouh | fst | image medical,biomarquer |
Robert Dahnke | University Aarhus | gyrification |
Xiangwei Dai | Beijing Normal University | amyloid deposition, grey matter |
Peng Dai | Ryerson University | deep learning, LSTM, explainable AI |
yulin dai | University of Texas health science center at Houston | GWAS, CSF tau concentration, AD |
Zhengjia Dai | Sun Yat-sen University | Alzheimer's disease; functional connectivity; structural connectivity |
Zongyu Dai | University of Pennsylvania | Missing data imputation |
Zhengjia Dai | Sun Yat-sen University | Alzheimer's disease; functional connectivity; model |
tomomi daigo | Nara Institute of Science and Technology | medical image synthesis |
Ryo Dairiki | Eisai Co., Ltd. | MCI-to-AD-conversion |
Hiromitsu Daisaki | Gunma Prefectural College of Health Sciences | Deep learning AI PET |
HARSH DALAI | NIT RAIPUR | ADNI |
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 |
Anders Dale | University of California, San Diego | image analysis, statistics, test and validate |
Pablo Damasceno | UCSF | neurodegeneration; brain atrophy; neuropathology |
stefano damiani | The Royal Hospital | Alzheimer's Disease, fMRI, GABA, Glutamate, Excitatory/Inhibitory balance |
Haleh Damirchi | Amirkabir university of technology | Neuroscience, machine learning, Statistics |
Jessica Damoiseaux | Wayne State University | functional connectivity, hippocampus, cognition |
hong dan | xiamen | study adni |
hong dan | xiamen | study adni |
huy dang | Penn State University | functional data, spiky data, function estimation |
jiajun dang | qiqihaerdaxue | 数据 |
Christa Dang | University of Melbourne | cognition, MRI, APOE, longitudinal, biomarkers |
Ebenezer Daniel | City of Hope | MRI |
Garrison Danley | Mass General | mri, motion, artifacts |
Christian Dansereau | Perceiv Research, Inc. | Biomarker, progressors prediction, cognitive decline |
Hákon Dansson | Chalmers University of Technology | AI, Machine learning, β-amyloid, plaques |
GOWHAR DAR | LOVELY PROFESSIONAL UNIVERSITY PUNJAB | CNN,DEEP LEARNING,AUTOMATED |
Rayees Dar | Islamic University of Science and Technology | CNN, Deep Learning, Artificial Intelligence, Medical Imaging |
SUHAIL AHMAD DAR | Aligarh Muslim University | Alzheimer's, MCI, Deep Learning , Diagnosis |
Sumanth Dara | University of California Riversid | MRI, Substantia Nigra, Locus Coeruleus, Machine Learning |
Sajad Darabi | University of California, Los Angeles | Machine Learning, Heterogeinity, Clustering |
Ryan Darby | BIDMC | cognitive reserve, executive, semantic, neuroimaging |
Oscar Darias Plasencia | Universidad Internacional de La Rioja | Alzheimer, machine learning, artificial intelligence |
Caroline Dartora | PUCRS | Brain Connectivity, Alzheimer's Disease, MRI, PET |
Dulumani Das | Gauhati University | Image Processing . segmentation. MRI. |
Ayantika Das | HTIC,IITM | Classification of brain MRI |
Sandhitsu Das | University of Pennsylvania | hippocampus MCI |
Priya Das | Kalinga Institute of Industrial Technology | biomarker, machine learning, MRI, AD |
eashita das | Dr. Eashita Das | data mining, analysis |
Shikta Das | C4X Discovery | genomics, taxonomy 3, whole genome sequencing, genome-phenome analysis |
Priya Das | Kalinga Institute of Industrial Technology | biomarker, machine learning, MRI, AD |
Srihitha Dasari | iResearch Institute | Alzheimer's disease, gray matter, white matter, hippocampal volumetry, MRI |
Aishee Dasgupta | Chennai mathematical Institute | TDA |
Ashkan Dashtban | University College London | Brain Imaging, Cognitive Impairment |
Adam Datta | SWPS University of Social Sciences and Humanities | convolutional neural network, image identification, MRI, Alzheimer’s Disease |
Rohan Datta | Army Institute of Technology | deep learning, fMRI, CNN |
Deana Davalos | Colorado State University | TBI, biomarkers, dementia, pathological aging |
Christos Davatzikos | University of Pennsylvania | classification, MCI, conversion to AD |
Alice Davies | University of Birmingham | neuroimaging, dementia, machine learning |
Cintia Davila Rodriguez | Illinois Institute of Technology | deep learning classification |
Wade Davis | FAU | MTL, EMCI |
Andrew Davis | University of Bath | clinical progression |
Ragavamsi Davuluri | Gudlavalleru Engineering College | Alzheimer |
Neil Dawson | 1974 | Biomarkers, Neuro degenerative Diseases,Cellular Death |
Eran Dayan | University of North Carolina at Chapel Hill | resting state, connectivity, machine learning |
Chaitra Dayananda | Chosun University | AD |
wang dayu | henan university | greduate student reaserch |
Arijit De | Jadavpur University | classification; prediction; alzheimer's |
Bianca De Blasi | Ixico | Medical imaging analysis, Biomarkers |
Renske de Boer | Quantib B.V. | evaluation, segmentation |
Marleen de Bruijne | Erasmus Medical Center | image analysis |
Manlio De Domenico | Universitat Rovira i Virgili | Multilayer networks |
Robin de Flores | University of Pennsylvania | MTL tau atrophy AD |
Johann de Jong | UCB | patient stratification, disease progression |
Raelynn de la Cruz | Cleveland Clinic Nevada | dementia, Alzheimer's, hippocampus, aggression |
Siemon de Lange | University Medical Center Utrecht | connectome, structural connectivity, Alzheimer, MCI |
Alberto De Luca | UMC Utrecht | diffusion MRI, connectivity |
Ashley De Luna | University of California, Merced | classification, neural networks |
Amy De Lury | Stony Brook University | Alzheimer's Disease, MCI, MRI, cortical thickness, subcortical volumes |
Matteo De Marco | University of Sheffield | Alzheimer's disease, mild cognitive impairment, resting state |
Fernando de Natali Frascá | Universidade Federal de São Carlos - UFSCar | segmentation, medical images |
Lorenzo De Rosa | universita di Siena | PBVC/y_MCI_AD_MS |
Micol de Ruvo | Philyra UG | Parkinson's, olfaction, machine learning |
Susan De Santi | Eisai | Normal controls, Mild Cognitive impariment, biomarkers, cognition |
Senuri De Silva | University of Moratuwa | machine learning MRI fMRI PET |
Eric de Silva | University College London | polygenic risk scores; cardiovascular disease |
Maria Stefania De Simone | IRCCS Santa Lucia Foundation | Mild cognitive impairment; Memory; Voxel-based morphometry; Longitudinal study |
Edson de Sousa Silva | IESB | Machine Learning Biomarkers Artificial Intelligence Deep Learning |
Eduardo Felipe de Souza | UFAL | deep learning, medical imaging |
Wieske de Swart | Radboud University Nijmegen | Alzheimer's disease, deep learning, multi-modality, incomplete data |
Javier De Velasco Oriol | Instituto Tecnologico y De Estudios Superiores de Monterrey | Machine Learning, Deep learning, Genomics |
Rashid Deane | University of Rochester | Alzheimer's disease, cerebrovasculature, blood-brain barrier, cognition, vascula |
Alison Deatsch | University of Wisconsin - Madison | FDG PET, deep learning, CNN, diagnosis, biomarker |
Summer Decker | University of South Florida Morsani College of Medicine | morphometrics |
Berina Dedovic | Faculty of Electrical Engineering University of Sarajevo | dataset; alzheimer; eeg |
Ana Defendini | University of Pennsylvania | Imaging |
samuella degbey | Altran | image processing brain pathology |
Farzaneh Dehghani | University of Esfahan | Alzheimer's disease, deep learning |
Hamed Dehghani | Neuroimaging and Analysis Group (NIAG) | machin learning, agnig, cognitive impairement |
PRIYANUJ DEHINGIA | ASSAM ENGINEERING COLLEGE | Alzheimer's, Deep Learning |
NILAM DEKA | ASSAM ENGINEERING COLLEGE | ALZHEIMERS DATASET |
Martina Del Giovane | Imperial College London | dMRI, dementia, neuropsychiatric, neurodegeneration |
Zoe Delaney | The University of Sydney | Machine Learning |
José Micael Delgado Barbosa | International Institute of Neuroscience | Brain, Blob Analysis, Active Contour based |
Andrea Dell Orco | Charite Berlin | wmh |
Stefano Delli Pizzi | Univesity of Chieti-Pescara | Alzheimer's Disease, Biomarkers |
Olivier Delrieu | SAS FifteenKay | Consulting, C4X Discovery Ltd |
zeynep demir | University of California San Francisco | ADNI |
Beatrice Demiray | Technical University Munich, Germany | Deep Learning; Neural Networks; Detection; Segmentation; Multi-Modal |
Shiling Deng | Chongqing University of Posts and Telecommunications | undergraduate thesis, academic usage |
Simin Deng | Tungwah Hospital of Sun Yat-Sen University | Subjective cognitive decline |
ANNAN DENG | East China Normal University | Classification; elastic net; functional logistic regression; Haar wavelets; PCA; |
Yutong Deng | ShenZhen University | ASL;MRI |
Tian Deng | Sun yat sen university | artificial intelligence,Medical image processing |
mujiang deng | Beijing University of Aeronautics And Astronautics | deep learning model |
Yatsen Deng | Harbin Institute of Technology | AD hippocampus morphological changes |
Ianien deng | Beijing University of Aeronautics And Astronautics | dmj66622 |
ZhengZheng Deng | Shanghai Brain Science and Brain-Inspired Intellegence | data-mining, big data, Alzheimer's disease |
lingling deng | CSU | AD |
Zhenhong Deng | Sun Yat-Sen memorial hospital, Sun Yat-Sen University | Dementia; mild cognitive impairment; single nucleotide polymorphism; prognosis; |
Rezwan Derakshan | urmia university | data mining |
Thomas DeRamus | GSU TReNDs Center | Brainhack |
Huseyin Derbent | University of South-Eastern Norway | Deep Learning, Convolutional Neural Networks, Alzheimer's Disease, Classifcation |
Natan Derek | Southern Taiwan University of Science and Technology | FMRI, DEEP LEARNING |
amine derra | hassiba ben bouli | AI |
Hemal Desai | St. Xaviers | Alzheimer |
pranav desai | scet | machine learning |
Shekha Desai | Vishwakarma Government engineering college | Early detection of AD, ML approach for AD diagnosis |
Amit Desai | Mayo Clinic | Dementia, atrophy, cinematic rendering |
juhi desai | In-Med Prognostics | volumetric |
Marie Deserno | University of Amsterdam | autism, neurodegenerative disorders |
Yash Deshmukh | University Of Keele | research proposal only |
Akshay Deshpande | University of Queensland | machine learning, artificial intelligence, healthcare |
Antoine Désilets | Université de Sherbrooke | GPR3, GPCR |
Anita DeStefano | Boston University | Alzheimer, genetics, association |
Kacie Deters | Stanford University | genetics, imaging, cognitive decline |
Vivek Devadas | Banner Alzheimer's Institute | Kewei Chen |
Gabriel Devenyi | Douglas University Mental Health Institute, McGill University | MRI |
uma devi | bharathiyar University | PET image |
Virginia Devi-Chou | Robert Wood Johnson Medical School | Neurodegeneration, Alzheimer's Disease, Biomarkers, Progression |
Alyssa DeVito | Louisiana State University | Multi-state modeling, APOE, cognitive decline |
Denise Dewald | University Hospitals Cleveland Medical Center | sleep apnea, soft palate, tongue position |
Blake Dewey | Johns Hopkins University | mri, ct, synthesis |
Debojyoti Dey | Personal | ML based explorations |
Saumil Dhankar | Independent voluntary research for IEEE BDBC 2020 challenge | Diagnosis, Symptoms, Assessment, Cognitive, Demographics, Imaging, MR |
Shravan Dhar | UVCE | Alzheimer |
Moyez Dharsee | Ontario Cancer Biomarker Network | integration, analysis |
Sriram Dharwada | Indian Institute of Information Technology, Nagpur | Deep Learning model using CNN and LSTM |
Andrew Dhawan | Cleveland Clinic | SNP, CSF biomarker, Imaging correlate |
eric dhillon | univ of toronto | MRI volumetric analysis regional cortical white matter |
Shivani Dhiman | University of Delhi | Early Detection |
Xin Di | University of medicine and dentistry of new jersey | connectivity, pet |
Hao Di | XJTU | Result repeat |
Francesco Di Lorenzo | University of Sussex | AD, functional conncectivity, ApoE, computational model, disease progression |
Maria de Fátima Dias | University of Coimbra | Ageing, Deep Learning, Regression |
Alisha Dias | St. Francis Institute of Technology | Detection, Stage, Alzhiemers |
Mauricio Diaz | Inria | AD, Deep Learning |
Mehdi Diba | Shahrood University of Technology | ADNI data analysis,deep learning |
Stefano Diciotti | University of Bologna | texture analysis, fractal analisys, machine leaning, MRI |
Bradford Dickerson | Massachusetts General Hospital | MRI, PET, cortical thickness, MCI, AD |
Philip Dickinson | McGill University | resting state, connectome wide association |
Kersten Diers | German Center for Neurodegenerative Diseases | quality control; statistical modeling |
Louis Dieumegarde | IUSMQ | Database |
Ibai Diez | Massachusetts General Hospital | AD, fmri, DTI, PET |
Rebecca DiGati | American College of Radiology CRI | Flortaucipir, AV1451, Tau, Florbetapir, AV45, PET, Amyloid |
Andrew DiLernia | University of Minnesota | clustering, functional connectivity |
Konstantina Dimaki | Wentworth Institute of Technology | Alzheimer's disease, prediction |
Georgios Marios Dimakidis | Ionian University | Bioinformatics, Data Analytics, AD |
yuhang Ding | baidu | download and study |
Ke Ding | 东华大学 | Biospecimens、MRI、PET、Genetic |
Chen Ding | Shenzhen Institutes of Advanced Technology Chinese Academy of Science | brain image |
Changchang Ding | Shanghai University | PET;FMRI |
Yuan Ding | New York University | For Course Project |
Shaodong Ding | Beihang University | domain adaptation |
jie Ding | Nanjing Tech University | ADNI data |
Xuemei Ding | Ulster University | Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction |
Ke Ding | 东华大学 | ADNI、MRI |
Xiuhua Ding | Western Kentucky University | sleep Apnea, APOE, Amyloid-beta |
Chen Ding | Shenzhen Institutes of Advanced Technology Chinese Academy of Science | brain image |
Eduardo Diniz | University of Pittsburgh | image-to-image translation; deep learning; mr image synthesis |
Ivo Dinov | UCLA | Alzheimer's disease, statistics, shape |
Nicola Dinsdale | University of Oxford | hippocampus machine learning |
ALIOU DIOP | Gaston Berger University | censored data; survival analysis, functional data analysis |
Tyler Diorio | Purdue University | white matter hyperintensity, periventricular, stress |
Ibrahima Diouf | University of Melbourne | Alzheimer's, amyloid pathology, Tau, cell adhesion molecules |
Maheshi Dissanayake | University of Peradeniya | Alzheimer , MRI |
sai smruthi diwakar | SASTRA UNIVERSITY | Final year project on prediction of alzheimer's |
anoop dixit | Collective Cure | Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec |
Sudhanshu Dixit | Jaypee Institute Of Information And Technology | Use ADNI dataset for College Project |
Khethiwe Dlamini | University of the Free State | R, Python, unsupervised learning, MRI, PET, big data |
Iwona Dobler | Takeda Pharmaceuticals International Co. | biomarker |
Vitaly Dobromyslin | University of Massachussetts, Lowell | gene expression, neuroimaging |
Shruti Dodani | Dwarkadas J Sanghvi College of Engineering | Deep learning; Convolutional Neural Network; Alzheimer's disease. |
Chris Dodds | University of Exeter | Education |
Alessandra Dodich | University of Geneva | 18F-flortaucipir, positivity, tau deposition |
James Doecke | CSIRO | CSF, Amyloid, PET |
Elena Doering | University Hospital Cologne | education, metabolic activity, aging |
Merve Yusra Dogan | Istanbul Medipol University | functional connectivity, neuropsychological test, fMRI, big data |
Prashant Dogra | Houston Methodist Research Institute | Alzheimer, biomarker, modeling |
Oriol Dols-Icardo | Sant Pau biomedical research institute | Genomics, MRI |
Sudipto Dolui | University of Pennsylvania | Arterial Spin Labeling, Cerebral Blood Flow |
Elena Dominguez | University of California, Irvine | Cingulate Cortex, Cortical Thickness, Cognition |
Frank Dondelinger | Lancaster University | lasso, prediction |
Zihe Dong | IMPERIAL COLLEGE LONDON | dzh880125 |
Zihe Dong | Beijing University Of Aeronautics And Astronautics | dzh880125 |
YIWEN DONG | UCSF | building database |
Jian Dong | Harvard Medical School | PET, molecular imaging, amyloid, tau, machine learning, neural network. |
Wei Dong | China National Clinical Research Center for Neurological Diseases | AD, genetics, autophagy, biomarkers, clinical characteristics |
Ning Dong | TEXAS tech university | Alzheimer's Disease, Mild Cognitive Impairment, Machine Learning |
qian dong | chongqing university of posts and telecomunications | ADNI |
shuai dong | Northeastern University | MRI depression |
Fan Dong | Indoc Research | data platform, imaging processing, neuroinformatics |
Qunxi Dong | Arizona State University | Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry |
JANG DONGGON | KAIST | Deeplearning |
zhu dongming | 云南大学 | machine learning, prediction of AD |
Luo Dongxia | Sichuan University | 19950913 |
Anita Donnelly | Ulster university | Machine Learning, Data Modelling |
Michael Donohue | Keck School of Medicine of USC | ADCS |
elahe dorani | Institute for Advanced Studies in Basic Sciences (IASBS) | Probabilistic models, Bayesian inference, Alzheimer's disease, ADNI dataset |
Fernanda Caroline Dos Santos | Centre for Addiction and Mental Health | Alzheimer's disease; Depression; Mild cognitive impairment; neuroimaging; PRS |
Ayush Doshi | University of Virginia | Spherical deconvolution, 3-tissue extraction, Deep learning |
Gaelle Doucet | Icahn School of Medicine At Mount Sinai | resting-state networks, brain atlas, aging |
N. Maritza Dowling | University of Wisconsin-Madison | Diagnostic Classification Models, Computerized Adaptive Testing, ItRT |
Senan Doyle | Pixyl | PET, MRI, AI, Deep Learning |
Sorin Draghici | Advaita | meta-analysis, data integration, subtype discovery |
Andrei Dragomir | Politehnica Bucharest University | Ask and I can provide further details |
Jonathan Drake | Alpert Medicial School of Brown University | VCAM-1, vascular risk factors |
Derek Drake | Harvard University | AD |
Amil Dravid | Northwestern University | Machine Learning, Computer Vision |
Erin Drazich | University of Sussex | DTI, MCI, AD |
Eduard Drima | Universitatea Dunărea de Jos, Galați, Romania, UE | mTBI, mild cognitive impairment |
Andrew Drozdov | University of Massachusetts Amherst | alzheimer's |
Jason Druzgal | University of Virginia | Basal forebrain; cognitive impairment; VBM |
Polina Druzhinina | Skoltech | 3D CNN, classification |
Jiao Du | Guangzhou univerisity | fusion |
Lei Du | Northwestern Polytechnical University | Imaging Genomics, Bioinformatics, Machine Learning, Deep learning |
yongqi du | Huazhong University of Science and Technology | deeplearning classification fMRI |
Averil DU | ShanXi Medical University | Aa123456 |
Shiyi Du | Sichuan University | Alzheimer,TADPOLE,student research,anomaly detection |
mingyu du | Beihang University | 912811450 |
Yuhang DU | He Bei University | fmri |
Qianqian Du | Taiyuan University of Technology | pet image reconstruction |
Xiuli Du | Nanjing Normal University | Functional data analysis, Missing data |
Yuhui Du | The Mind Research Network; Shanxi University | Biomarkers, Classification, Clustering |
Guangwei Du | Penn State Hershey Medical Center | TBM, neurodegenerative disease pattern |
Shiyi Du | 四川大学 | student research Alzheimer |
YU DU | Faculty of Science and Technology, University of Macau | Alzheimer's disease, deep learning, segmentation |
Zhichao Duan | Tsinghua University | Machine learning |
Kaue Duarte | University of Campinas | alzheimers, artificial intelligence, image retrieval |
Paromita Dubey | UC Davis | networks |
florian dubost | Erasmus MC | enlarged perivascular spaces, deep learning, neural networks |
Marie Duc | Tuebingen University Hospital | explainable AI in brain |
Simon Duchesne | True Positive Medical Devices Inc. | Biomarkers; Volumetry; Normative data |
Simon Duchesne | Université Laval | Morphometry, MRI, multidimensional analysis |
Kevin Duff | University of Utah | biological samples |
Maya Duffy | University of South Carolina | Project, Statistics |
Ben Duffy | USC | QC |
Adam Dugan | University of Kentucky | statistics; Alzheimer's disease; CSF |
Brittany Dugger | UC-Davis | Neuropathology, Heterogeneity, concomitant pathology |
Juergen Dukart | Hoffmann-La Roche | PET MRI biomarkers diagnostic models |
Adrienne Dula | Dell Medical School at the University of Texas Austin | Alzheimer’s disease, cerebrovascular flow, sex |
carlos Dulanto | universidad cesar vallejo | neural nerwork |
Maciej Dulewicz | Medical University of Białystok, Poland | AD |
Felix Dumais | Université de Sherbrooke | AI, arteries, vascular |
Julie Dumas | University of Vermont | tau, csf, hippocampus, biomarkers, MCI |
Mihai Dumitrescu | University Politehnica of Bucharest | Homework |
Logan Dumitrescu | Vanderbilt University Medical Center | Alzheimer's, genetics |
Matthieu Dumont | Imeka | DWI DTI HARDI Tracking |
Julien Dumurgier | Université de Paris | CSF biomarkers ; cut-offs |
Julien Dumurgier | Lariboisiere Fernand Widal Hospital | APOE, AD, CSF biomarkers |
Chase Duncan | UIUC | biomedical image segmentation; machine learning; hippocampus segmentation |
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 |
Michael Duong | University of Pennsylvania | Alzheimer disease, AT(N), PET, neuroimaging |
Patrick Dupont | KU Leuven | graph; rs-fMRI; cognition |
Tom Dupree | Springboard | Machine learning, data analysis, predictive classification model |
Goktekin Durusoy | Bogazici University | Graph analysis, tensor decompositions,Connectome |
Anirban Dutta | University at Buffalo SUNY | Non-invasive brain stimulation |
Joyita Dutta | UMass Lowell / MGH | Data science, machine learning |
Chiranjit Dutta | University of Connecticut | Longitudinal data analysis |
ARIDEEP DUTTA | Jabalpur Engineering College | AD-alzheimer's diseases |
Shamita Dutta gupta | Pace U | Ordinal logit model, general linear model |
Alok Dwivedi | Texas Tech University Health Sciences Center El Paso | Amyloid positive, MRI, CSF biomarkers, ABETA42 |
Madhukar Dwivedi | International Institute of Information Technology, Hyderabad | Alzheimer disease, MCI, |
Shubham Dwivedi | National Institute of Technology Silchar | Alzheimer, Brain, Daignosis |
Jonathan Dyke | Weill Cornell Medicine | cortical thickness |
Martin Dyrba | German Center for Neurodegenerative Diseases (DZNE) | probabilistic models, multimodal analysis, machine learning, Markov random field |
Witold Dyrka | Wroclaw University of Science and Technology | MRI, PET, computer-aided analysis, image segmentation, neural network, python |
Szymon Dziewic | AGH | MRI image analysis, neural network |
Georgina Earle | University of Birmingham | Alzheimer's Disease, deep learning, imaging |
Thomas Earnest | Washington University | Alzheimer's, machine learning, data science |
Mark Ebbert | Mayo Clinic | Challenging regions |
Amir Ebrahimighahnavieh | University of Newcastle | Alzheimer, Convolutional Neural Network, Recurrent Neural Network, LSTM |
Holly Echlin | York University | sub-concussive, mild traumatic brain injury, aging, neuroimaging |
Christopher Edgar | Cogstate | cognition, at-home, feasibility, validity, reliability |
Paul Edison | Imperial College London | tau amyloid cardiovascular risk |
Emily Edmonds | University of California, San Diego | Mild cognitive impairment; Neuropsychology |
Mackenzie Edmondson | University of Pennsylvania | neuroimaging, biostatistics |
ANTOINE D EDOUARD | Harvard University | MCY&ALzheimer |
Amr Eed | Instituto de neurociencias de alicante | Machine Learning, multi-shell models |
Efe Dogukan Efeoglu | Middle East Technical University | mathematical statistics, image processing, neuroscience |
Marco Egle | University of Cambridge | Small vessel disease Diffusion tensor imaging clinical trials |
Graham Eglit | San Diego VA | Biomarkers, Tau, CSF, PET |
sina ehsani | mashhad university of medical science | dti |
Willem Eikelboom | Erasmus MC Rotterdam | Neuropsychiatric symptoms, Alzheime's disease |
Eyþór Einarsson | Haskoli Islands | Deep Learning, Brain Age, Machine Learning, MRI |
Noushin Ejtehadi | Iran University of Science and Technology | DTI |
Laura Ekblad | Amsterdam UMC | CSF, proteomics, atrophy, cortical thickness, MCI, Alzheimer |
Chima Eke | University of Plymouth | Biomarkers, data analysis, machine learning, deep learning |
ferhat ekin | ankara yıldırım beyazıt university | stalker |
Tawatchai Ekjeen | Faculty of Medical Technology | Maching Learning, PET, Alzheimer's Disease |
Anders Eklund | Linköping university | Deep learning, multi modality, fMRI, dMRI, convolutional neural network |
Nsisong Ekong | RITMAN UNIVERSITY, IKOT EKPENE, AKWA IBOM STATE | ALZHEIMER'S DISEASE, CLINICAL TRIALS, STOCHASTIC ANALYSIS |
Ender Eksioglu | Istanbul Technical University | MR reconstruction, undersampled k-space data, sparsity based MR reconstruction |
Karen El Akoury | Holy spirit university of kaslik | Alzheimer,EEG,Music Treatment |
Shaker El-Sappagh | Inha University | Deep learning, machine learning, progression detection |
fanny elahi | UCSF | Alzheimer, vasculature, inflammation, cognitive decline, aging, genetics, |
vidhya elango | periyar university | cryptography |
Ghaidaa Eldeeb | faculty of engineering cairo univeristy | DTI |
elfazziki elfazziki | Marrakech university, computer science department | alzheimer, diagnosis, machine learning |
m elgeneedy | mansoura university | كل اسبوع يوم جمعه |
Tusneem elhassan | University of technology Malaysia (UTM) | Alzaheimer |
Martin Elias Costa | Entelai | Brain atrophy, aging, MRI, |
Ahmed Elkorany | faculty of electronic engineering, menoufia university | deeplinearning; classification, MRI |
Nandhini Ellappan | MGR University | Dashboard |
Lotta Ellingsen | University of Iceland | segmentation, deep learning, brainstem, white matter hyperintensities, dementia |
Maxwell Elliott | Duke University | Aging, methylation, ADRD, neurodegeneration |
Natalie Ellison | Pentara Corporation | Composites Genetics |
Jeremy Elman | UCSD | Pupillometry, aging, dementia |
Ani Eloyan | Brown University | clinical domain, machine learning, deep learning |
fares elsalamony | The British University in Egypt | brain tumor, brain cancer, alzheimer's disease |
ahmed elsayad | Mansoura University | big data, big data analysis , big data processing |
Daiaa elsayed | Mansoura university | Machine learning mri scans |
Zeinab Elsharkawy | Atomic Energy Authority | Deep learning; image analysis; classification |
alaa elshazli | Staffordshire university | brain images, image processing |
Nada Elsokkary | Khalifa University of Science and Technology | AD diagnosis, deep learning, textural analysis |
Maryam Emamidoost | Ryerson University | Alzheimer's Disease, segmentations, MRI |
Patrick Emedom-Nnamdi | Harvard University | Alzheimer, machine learning |
Polina Emeliyanova | The University of Manchester | White matter, grey matter |
Okyaz Eminaga | Stanford University | DL, Classifcaiton |
Mohammad A E K Emon | Janssen Pharmaceutica | GWAS, MR |
Daiki Endo | Tohoku University | Convolutional Neural Network, Computer aided diagnosis |
HIRONOBU ENDO | Johns Hopkins University | MRI cloud |
Jakelini Engel | UNOESC | Alzheimer diagnosis |
Bradley English | Fraunhofer Institute | Early-warning |
Gina Eom | Centre for Addiction and Mental Health | cognition, function, clinical scores |
Joel Eppig | SDSU/UCSD Joint Doctoral Program in Clinical Psychology | MCI, Latent Variable Modeling |
Noam Epstein | University of Illinois at Chicago | Pharmacoepidemiology |
Fusun Er | Yeditepe University | Alzheimer's Image Processing |
Basri erdogan | Bogazici University | Alzheimer's disease, deep learning, cnn |
Mahdiyeh Erfanian | Ferdowsi University of Mashhad | statistics. SPC, profile monitoring |
Bradley Erickson | Mayo Clinic | imaging biomarkers |
Elena Erosheva | University of Washington | Longitudinal, hierarchical, mixed effects |
Asier Erramuzpe | Mondragon Unibertsitatea | AD structure function preprocessing MRI |
Ersin ERSÖZLÜ | University of Munich (LMU) | cognitive reserve, alzheimer disease |
Naga Akhil ES | PES University | Alzheimer's Disease |
Sara Esam | Institute of Statistical Studies and research | Alzheimer’s Disease |
Sara Esam | Institute of Statistical Studies and research | Alzheimer’s Disease |
Claus Escher | University Hospital Cologne | Semantic Networks, Category Fluency Test |
Javier Escudero | University of Edinburgh | Machine learning, Decision support, biomarkers |
Lorena Escudero | University of Cambridge | TADPOLE |
Marziye Eshghi | MGHIHP | structural imaging, cortical thickness, speech motor regions |
Mary Eskander | Banha | Machine learning |
Simon Eskildsen | Aalborg University | cortical thickness, brain mapping, segmentation |
Taban Eslami | Western Michigan University | Alzheimer's, classification, Machine Learning |
Soheil Esmaeilzadeh | Stanford University | deep learning course, Stanford university, class project |
Alberto Espay | University of Cincinnati | Amyloid, soluble Abeta42 |
Erika Espindola | Centro Universitário IESB | Data Analysis; Alzheimer; Prediction; Artificial Intelligence |
Ana Espinosa | Fundació ACE | Cognition, |
Mar Estarellas Garcia | University College London | Alzheimer, data-driven model, lifestyle |
Pierre Etienne | ActuReal Services and Consulting Pvt.Ltd. | Converson to MCI |
Kobra Etminani | halmstad university | Skull stripping ,prognosis of AD and Dementia |
woohyun Eum | Konkuk university | QC case control |
Diana Evangelista | Ardsley High School | deep learning; neural networks; Alzheimer's; ROC; Python |
Guilherme Evangelista | Centro Universitario Uni BH | Utilização do aprendizado de maquina para diagnosticar, tratar e previnir o alzh |
Diana Evangelista | Ardsley High School | deep learning; neural network; ROC; AUC; Adam; t-SNE; Alzheimers; |
Nicole Evangelista | University of Florida | working memory, magnetic resonance imaging |
Dave Evenden | Southampton Universiry | Dementia, Disease Modelling, Healthcare Planning |
Dyachkov Evgeny | MIPT | Convolutional Neural Networks |
Katrina Evtimova | NYU | neuroimaging analysis |
Michael Ewers | LMU | amyloid, genetics |
Georgios Exarchakis | Institut de la Vision, CNRS, Sorbonne University | Scattering Transforms, Machine Learning |
Ali Ezzati | Albert Einstein College of Medicine | Volumetric, MRI, Amyloid, cognitive decline |
JISNA F | UNIVERSITY OF KERALA | Convolutional Neural Network |
NICY F | THANGAL KUNJU COLLEGE OF ENGINEERING | Alzheimer’s disease (AD) · Mild cognitive impairment (MCI) · Feature selection · |
Sa Faber | Rotman Research Institute | MCA |
Nathalie Fadel | Columbia University Mailman School of Public Health | fMRI, Alzheimer's disease, Markov-Chain Monte Carlo, BSMac |
Ghadah Fadhl | Sana'a university | Alzhiemer’s disease (AD), Convolutional neural network (CNN) , Deep neural netwo |
Shreyas Fadnavis | Indiana University Bloomington | DWI, Machine Learning |
Shahriar Faghani | Tehran university of Medical science | MCI-CN-fMRI-Machine learning-Deep learning |
Ali Fahim | UT | data mining |
Rachid Fahmi | Siemens Healthcare | AD, PET, FDG, MRI, Amyloid |
Ryan Fairchild | University of Maine | Tracking, atrophy |
Muhammad Faisal | King Fahd University | Tadpole Challenge Data |
Fazal Ur Rehman Faisal | Chosun University | Medical Image Processing |
sherin faizal | Barathiar University | Alzheimer’s disease, Artificial Neural Network, Computer aided diagnosis, Discr |
Faruk Fakih Safadi | The University of Manchester | Machine learning, deep learning, AD, university, research, computer vision |
Tiago Falk | INRS | AI, multimodal, signal processing |
weina fan | Qufu Normal University | research |
Yong Fan | University of Pennsylvania | Pattern recognition; Machine Learning, Multi-site data |
Yang Fan | Peking University | AD, ASL, CBF |
zhihao fan | 华南理工大学 | Thanks |
CHENCHEN FAN | Institute of Automation,Chinese Academy of Sciences | machine learning |
Xiang Fan | The Chinese University of Hong Kong | biomarker |
Geng Fan | University of Electronic science of technology of China | HDAC2 |
Jianan Fan | Huazhong University of Science and Technology | neuroimage, computer vision, pattern recognition |
Xiaoguang Fan | Tianjin Medical University General Hospital | structural and functional network, nerual plasticity |
Ziqi Fan | China | neuroinflammation AD beta amyloid |
Di Fan | USC | DTI |
Wenliang Fan | Union Hospital, Huazhong University of Science and Technology | Alzheimer’s disease; Longitudinal change; Evolving pattern; FC |
Corry Fan | chongqing University of Posts and Telecommunications | AUGgac394 |
ZHEN FAN | Imperial College London | Longitudinal amyloid tau |
Shawn Fan | Rice University | TADPOLE |
Yonghui Fan | Arizona State University | ADNI2-GO MRI data |
Chong Yuan Fan | National Chiao Tung University | MRI |
Kathy Fan | Stanford | visualization, CNN, interpretability |
Peihao Fan | University of Pittsburgh | Alzheimer's Disease; Machine learning; Biomarker; |
Yifan Fang | Zhongnan hospital | white matter lesions; hippocampus; basal forebrain; cholinergic system; AChE |
Feng Fang | University of Houston | Connectivity, fMRI, dTI, AD |
Frank Fang | Eisai | Machine Learning |
Yi Fang | Zhejiang University | Perivascular space |
Chen Fang | Florida International University | Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment |
Yan Fang | Shanghai University of International Business and Economics | 7Yiffany |
SHENGLEI FANG | Cardiff University | Alzheimer, PET |
Ruogu Fang | University of Florida | Alzheimer's Disease, cerebral perfusion, machine learning |
zhang fangyuan | school | deep lerning CNN |
Félix Fanjul-Vélez | University of Cantabria | Alzheimer, dementia, image analysis |
LI FANSHI | XIANGTAN UNIVERSITY | MRI,CLINICAL |
David Fardo | University of Kentucky | Pathway-wide association, AD |
Gonzalo Farías | Universidad de Chile | synonymous mutations, VUS, Functional analyses, Plasma biomarkers, tau |
Mohammadjavad Faridafshin | Shiraz University | image processing, AD, Classification, Machine Learning, |
Aamir Farooq | techtip | covid in adni |
fayroz farouk | electronics research inistitute | APOE, multistate markov model |
Danielle Farrar | University of New Mexico | MCI, fMRI, MRI, network analysis |
Kurt Farrell | Icahn School of Medicine at Mount Sinai | Primary age-related tauopathy |
John Farrell | Boston University Medical School | whole_genome_sequencing genetics imputation structural_variants |
Madeline Farron | University of Michigan Medicine | Neuroimaging, Alzheimer's Disease |
maedeh fasihi | ucf | machine learning, classification, pattern recognition |
Karma Fathalla | Arab Academy for Science and Technology | Dementia, Alzheimer, Machine learning, deep learning |
Sina Fathi | Iran university of medical sciences | CDSS, Alzheimer's disease, deep learning |
Alireza Fathian | Tarbiat Modares University | Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network, |
Noel Faux | IBM Research - Australia | Biomarkers, prognosis, genomics, cognitive decline |
boudaoud fayçal | enset | ad;mci;alzheimer;detect deases alzheimer |
Marcelo Febo | University of Florida | diffusion MRI, Alzheimers, amyloid |
Alex Fedorov | Georgia Institute of Technology | self-supervised learning, multi-modal, deep learning |
Jana Fehr | Hasso-Plattner-Institute | Causal Inference, Transportability |
liu fei | Tianjin University | r-fmri functional connectivity network machine learning |
Franklin Feingold | Stanford University | BIDS |
Amirhossein Feizi | Semnan University | learning, research design, studying |
Robert Fellows | VA San Diego Healthcare System | cognition, everyday functioning, white matter hyperintensity, CSF, tau |
Daniel Felsky | Centre for Addiction and Mental Health | microglia, polygenic risk, imaging, environmental modifiers |
Grazia Daniela Femminella | University of Naples Federico II | Alzheimer's disease; atrial fibrillation |
Grazia Daniela Femminella | Imperial College London | inflammation; atrophy; AD; MCI |
Luo Fen | South Central University For Nationalities | GAN; MRI |
Alan Fendrich | Penn State College of Medicine | learning to preprocess PET data |
HONGBO FENG | First Affiliated Hospital of Dalian Medical university | aging |
Tingsheng Feng | Beijing University of Aeronautics and Astronautics | 197234tL |
Junbang Feng | CQMU | 821727fjb |
Jinwang Feng | Northwestern Polytechnical University | Alzheimer's disease, Feature extraction, Classification |
Qingxiang Feng | Tulane University | deep learning, sparse |
gu feng | Chinese Academy of Sciences | gufeng11 |
Xinyang Feng | Columbia University | AD imaging biomarker |
Zhichao Feng | The Third Xiangya Hospital of Central South University | fzc2018xyyx |
Lin Feng | Shaoyang University | Alzheimer’s Disease,Anatomical MRI,Classification,ROI |
Xue Feng | University of Virginia | Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers |
Yang Feng | New York University | Alzheimer’s disease, multiclass classification, prioritized error controls |
Christine Fennema-Notestine | UCSD | MRI, thickness, morphometry, shape analysis, PET |
Aasa Feragen | Technical University of Denmark | Computer aided diagnosis, bias/fairness, demographic groups |
Lavinia Ferariu | Gheorghe Asachi technizal University of Iasi, Romania | Classification |
Cameron Ferguson | Cardiff University | Network Psychometrics; Complex Systems; Modelling; Neuropsychology; Neurocogniti |
Marco Fernandes | University of Oxford | metabolomics, machine learning, network analysis, psychiatric disorders |
Alberto Fernández | Universidad Complutense de Madrid, Spain | APOE4, Amyloidosis, cognitive performace |
Isabel Fernandez | Universitat Oberta Catalunya | Early diagnosis |
MIGUEL ANGEL Fernandez | University of Cadiz | PET, image, machine learning |
Álvaro Fernández Calleja | Universidad Politecnica de Madrid | Alzheimer, longitudinal analysis, MRI |
Juan Luis Fernández Martínez | University Of Oviedo | machine learning, compressed sensing, AD |
Sara Fernandez Rodriguez-Cabello | University of Salzburg | aging, longitudinal, WMH, AD |
Italo Alberto Ferrante | University Federico II | neural network; deep learning; artificial intelligence |
Ricardo Ferrari | Federal University of São Carlos | 3D salient point, Deep Learning, Atlas of salient points |
Federico Ferrari | Duke University | Cox Model, Interaction Estimation |
Antonio Ferraro | Università Luigi Bocconi | Neuro-Image, disease's progression prediction |
Hugo Ferreira | Faculty of Sciences of the University of Lisbon | Alzheimer's Disease; multimodality; connectivity; MRI; DTI; rs-fMRI; PET |
Luiz Kobuti Ferreira | University of São Paulo | functional connectivity; resting state fMRI; aging |
Bianca Ferreira | ISEP | Alzheimer's Disease, FDG-PET, Neural Networks |
Camille FERRERO | CSIRO | MRI images |
Jennifer Fey (Erway) | Wake Forest University | machine learning, optimization, quasi-Newton methods |
achraf feydi | National institute of applied science and technology | Machine learning , diagnose |
Lobna FEZAI | Univeristé de Poitiers | Deep learning, medical imaging, classification |
Milan Fiala | UCLA | FDG scan, MRI, MMSE |
Mark Fiecas | University of Minnesota | fMRI, connectivity, longitudinal |
Matteo Figini | University College London | resolution, machine learning, image quality transfer |
Michal Figurski | University of Pennsylvannia | UPenn, Leslie Shaw |
Laura Filippi | IRCSS San Martino Hospital | Amyloid uptake in AD |
muco findik | Malmö | Artificial Intelligence, Machine Learning, EEG data |
Elizabeth Finger | University of Western Ontario | NPI, MRI, PET |
Evan Finkel | Georgia Institute of Technology | Alzheimer's, Machine Learning |
Robert Finnegan | University of Sydney | Image enhancement, PET/MR, deep learning |
Michael Firbank | Newcastle University | Dementia |
aku fire | FuZhou University | machine learning |
Alfandi Firnando | Universitas Sultan Syarif Kasim Riau | alzheimer's |
Florian Fischer | Universtiy Medical Center Mainz | Structural brain networks, Graph theory, Cognition, Alzheimer's disease |
Clara Fischer | Neurospin, CEA | brain atrophy |
Sam Fisher | Medical and signal Processing Center | Resting state-brain connectivity-alzheimer disease-functional imaging-Neuroimagi |
Madalina Fiterau | University of Massachusetts Amherst | Alzheimer’s disease; trajectory modeling; medical imaging; multimodal fusion; de |
Lúcio Flávio de Jesus Silva | State University of Maranhão | Alzheimer, ANN, fMRI, Deep Learing |
Christopher Fleetwood | University Of East Anglia | Alzheimers, Deep Learning, CNN, GCNN |
Evan Fletcher | UC Davis | Cognitive Reserve, Psychometrics Workshop |
Alexandru Floares | Solutions of Artificial Intelligence Applications | Artificial Intelligence, Alzheimer's disease, clinical, genomic, imaging, data |
Carlos Flores | UNAM | brain, unam, inb |
Shaney Flores | Washington University in St. Louis | DIAN, harmonization, WUSTL |
Guadalupe Flores Islas | Instituto Politécnico Nacional | Alzheimer classification |
Niels Focke | University of Göttingen | FDG-PET, Epilepsy |
Nancy Foldi | Queens College - City University of New York | MTL, HIppocampus, serial position effect |
Guilherme Fôlego | Universidade Estadual de Campinas | AD, ML |
Bernard Fongang | UT Health San Antonio | Dementia, Vascular dementia, Gene expression, MRI markers |
Vladimir Fonov | McGill University | de-identification |
Joana Fonseca | FEUP | ML |
Fabian Humberto Fonseca Aponte | Sapienza Università di Roma | Adversarial learning, auto-context model, MRI, image synthesis |
Alfred Fonteh | Huntington Medical Research Institute | Amyloid, tau, PET, metabolites, glutamate, lipids, omega-fatty acids |
WEI JIAN FOONG | UNIVERSITY MALAYSIA PERLIS | ALZHEIMER'S DISEASE, PREDICTION, BIOMARKERS, GENOMIC, NEUROIMAGING |
Jamie Ford | Imperial College London | Functional connectivity, resting-state fMRI, structural MRI, amyloid |
Cynthia Forgeron | St. Francis Xavier University | Dementia, Alzheimers, machine, learning |
Myriam Fornage | University of Texas Health Science Center at Houston | Small Vessel Disease; brain MRI; white matter hyperintensity |
Parisa Forouzannezhad | Florida International university | MCI, AD, Neuroimaging |
Alex Förster | Universitätsmedizin Mannheim | AD, crossed cerebellar diaschisis |
Adam Forys | Roche | ADNI, Roche, dashboards |
Chris Foster | UT Dallas | Center for Vital Longevity | Hypertension, Cardiovascular Disease, Amyloid, Mild Cognitive Impairment, Alzhei |
Panagiotis Fotiadis | Massachusetts General Hospital | atrophy; cerebral amyloid angiopathy; alzheimer's disease |
saman fouladi | tmu | y |
Gregory Founshtein | The hebrew University and the Hadassah Ein Kerem medical center | Alzheimer's disease, MMSE, ADAS-cog,MRI,Tau |
Michael Fox | Harvard | atrophy |
Lydia Fozo | APL | Connectome, Biomarkers |
Ernest Fraenkel | MIT | machine learning, AI |
Ambily Francis | Karunya | AD,CN,MCIc,MCInc |
Fabio Frangiamore | university of Milan Bicocca | Alzheimer, CNN, deep learning |
Eric Frankel | Stanford University | neuroimaging, gene expression, autism spectrum disorder, protein interaction |
Mark Fraser | Australian National University | harmonized Hippocampal protocol, manual segmentation |
Mark Frasier | Michael J Fox Foundation | CSF, biomarkers, neurodegeneration |
Simona Fratus | University of Brescia | deep learning, neural network |
Blaise Frederick | McLean Hospital/Harvard Medical School | resting state, perfusion, |
Amy Fredrickson | Cogstate | Data Deliverable |
André Freitas | Universidade do Minho | Neuroimaging, MRI, Brain |
Jennifer French | University of Maryland | GWAS |
Leon French | Centre for Addiction and Mental Health | gene expression |
Joshua French | University of Colorado Denver | principal components, isotropy |
Simon Frerich | Karolinska Institute | Subtyping |
Simon Frerich | LMU Munich | genetics of AD |
Yun Freudenberg-Hua | Feinstein Institutes for Medical Research | dementia genetics Alzheimer association variants |
Brad Friedman | Genentech, Inc. | bioinformatics genetics |
nadav friedmann | cassavasciences | decline over time |
Christoph M. Friedrich | University of Applied Science and Arts Dortmund | SNP subset selection |
Lars Frings | University of Freiburg | PET; Amyloid; FDG; Medial Temporal Lobe |
Hans-Christian Fritz | German Center for Neurodegenerative Disease | basal forebrain, functional connectivity |
Bernard Fromson | Birkbeck, University of London | Machine learning, Computer Vision, Medical Diagnostics |
Pan Fu | Taizhou First People’s Hospital | Alzheimer's disease, synaptic degeneration, clusterin |
Ray Fu | BIT | data analysis |
lingling fu | south-central university | research |
jeffson fu | Chongqing University of Posts and Telecommunications | image |
yu fu | lanzhou university | longitudinal brain changes; MCI;AD |
yanv fu | The Affiliated Second Hospital of Zhejiang University of Medicine | Alzheimer's disease |
Yunguan Fu | University College London | deep learning, registration |
Zening Fu | Georgia State University | Multi-diseases biomarkers, data-fusion, dynamic brain connectivity |
Niccolo Fuin | Ixico | structural MRI, dMRI, ASL, fMRI |
Motonobu Fujishima | National Center of Neurology and Psychiatry | differential diagnosis; Alzheimer's disease; FDG-PET; MRI |
Fabian Fullone | Universidad Argentina de la Empresa | data |
Lawrence Fulton | Texas State University | machine learning |
Brian Fulton-Howard | Icahn School of Medicine at Mount Sinai | PRS, GWAS, rare variation, LOAD, Alzheimer's, APOE, PheWAS |
Tsukasa Funane | Hitachi, Ltd. | AI, Machine learning |
Ernest Fung | Cogstate | Alzheimer's disease, clinical trials, CNS drugs |
Quentin Funk | Houston Methodist Research Institute | Tau, fMRI, graph theory, DTI |
Cory Funk | Institute for Systems Biology | Alzheimer RNA-seq WGS |
Ansgar Furst | Stanford University | Alzheimers, TBI, Veterans |
Pedro Furtado | Universidade de Coimbra | medical imaging |
Janakasudha G | Sri Venkateswara College of Engineering | Alzheimer's Disease, Brain image analysis, machine learning and deep learning |
jayavel G | anna university | alzheimer desease |
MALAVIKA G | kumaraguru college of technology | disease, machine learning, data science |
NAGARJUNA REDDY G | NBKR INSTITUTE OF SCIENCE & TECHNOLOGY, VIDYANAGAR | Alzheimers |
Man Ga | IMM | 4327050Ho |
Musa Gabere | Mayo | Magnetic Resonance Imaging, Positron emission tomography |
Geoffroy Gagliardi | Brigham and Women's Hospital | Awareness, Biomarkers |
Yu Gai | UESTC | Alzheimer;Classification;DeepLearning |
Niharika Gajawelli | USC | fMRI, MRI, AD, MCI, |
Anand Kumar Reddy Gajulapalli | Annamacharya PG college of computer studies | required |
Douglas Galasko | UC San Diego | CSF biomarkers cognition |
Paola Galdi | University of Salerno | networks, multi-modal data, classification |
Elena Galea | Institute of Neuroscience, University Autonoma of Barcelona | proteomic data, CSF/plasma, astrocytic signature(s) |
Liisa Galea | University of British Columbia | APOE, Pregnancy, motherhood, hormone therapy, inflammation |
Charles Galea | Monash Institute of Pharmaceutical Sciences | machine learning, disease progression |
Brahyan Galindo Mendez | University of California, Berkeley | Alzheimer's disease, |
Kevin Galinsky | Takeda | NFL; cognition; TREM2; CD33 |
Charles Gallay | EPFL | Master These |
Carlos Galmarini | TOPAZIUM | Artificial intelligence, deep neuronal networks |
Dragan Gamberger | Rudjer Boskovic Institute | data clustering, subgroup discovery, intelligent data analysis |
Deepak Gambhir | Galgotia College of Engineering and Technology | Alzheimer disease AD; Machine Learning Models |
Hong Seng Gan | Universiti Kuala Lumpur | hippocampus Segmentation, Alzheimer's Disease, Random Walks |
Christina Gancayco | University of Virginia | neural network, machine learning, deep learning |
Amisha Gandhi | Boston University | final project, machine learning |
Michal Gandor | Politechnika Krakowska | machine learning research |
Arya Ganesan | Academies of Loudoun | Tau, Alzheimer's Disease, Segmentation |
Ajith Kumar Ganesan Govindasamy | VasoGnosis | Deep learning, wGANs, Gan Data Augmentation |
Rithvik Ganesh | Jasper High School | AD, machine learning, diagnosis |
li gang | Northeasten university | AD |
yang gang | ustc | segmentation |
AYUSHE GANGAL | G.B. Pant Govt. Engineering College | neural networks, deep learning |
Arkaprabha Ganguli | Michigan State University | Alzheimer’s disease, High dimension valariable selection, nonrandom nonresponse |
Mohit Gangwar | Bhabha Engineering Research Institute, Bhopal, India | Machine Learning |
Sandeep Ganji | Philips | ASL |
Reema Ganotra | YMCA University of Science and Technology | Alzheimer' Disease, MRI images, Machine learning,highly accurate diagnosis |
Jonathan Gant | University of Florida | topological data analysis, machine learning |
Xiaohong Gao | Middlesex University | multi-modal classifier, fuzzy logic |
yan gao | Xi’an Jiaotong University | multi-view classification |
Kejiao Gao | Northeastern university of china | Transfer learning |
Xiao Gao | University of California, San Francisco | atrophy, cognition |
Peirong Gao | Zhejiang University | BIN1,AD biomarker |
Yuan Gao | University of Oxford | Yeye8330209 |
Jian Gao | Guizhou University | Request |
Lijuan Gao | Affiliated ZhongDa Hospital, Southeast University | APOE, DMN, MCI, conversion, AD |
ang gao | CAS,china | Machine learning |
Yurui Gao | Vanderbilt University | functional connectivity |
Yunhe Gao | Rutgers University | Segmentation CNN |
Kun Gao | UNC-chapel hill | medical image classification, deep neural network |
Fuxun Gao | University of Shanghai for Science and Technology | Alzheimer’s disease; Computer-aided diagnosis |
Xingyu Gao | Shanghai Jiaotong University | Alzheimer`s disease, Muti-modality, Deep learning |
Linlin Gao | Ningbo University | longitudinal MRI, convolutional neural network, recurrent neural network |
Libin Gao | Wenzhou University | data |
Yang Gao | Central South University | AD/GNN/Disease Analysis |
Xue Gao | Shaanxi Normal University | fMRI data |
Yali Gao | new york university | risk factor |
zhengzhou gao | beihang university | gzzhv587 |
Kai Gao | SEfe | AD, MCI |
Gao Zhiyang Gao Zhiyang | Shanghai Univesity | Alzheimer's disease, MRI ,PET |
Manisha Garasiya | GTU | Classification, detection |
Sara Garbarino | Universite Cote d'Azure, Inria | misfolded proteins, dynamical system models, disease progression models |
Melanie Garcia | Hypercube Institute | Neuroimaging, Data analysis, multi-site effect |
HAYDEE GARCIA | LIN | DATANMA |
José Carlos García | Universtitat Oberta de Catalunya | brain anomalies, automatic segmentaion, automatic lesion detection |
Kara Garcia | Indiana University School of Medicine | surface registration, longitudinal, cortex, shrinkage, biomechanics |
Miguel Garcia | Boehringer-Ingelheim | historical controls, placebo, disease modelling |
Gracian Garcia | Quiron | PET; SPM; templates |
Tanya Garcia | Texas A&M University | T1-weighted MRI images; Cox regression; tensor covariates |
Indira Garcia Cordero | UHN | AD, functional connectivity, pet, longitudinal analysis |
Fernando García Gutiérrez | Complutense University of Madrid | Artificial Intelligence, Neurodegenerative diseases, Deep Learning, Machine Lear |
Daniel García Núñez | Universidad Nacional Autónoma de México | Alzheimer's disease, assist in diagnosis, computer vision |
ruben Garcia Quintana | Universidad de las Palmas de Gran Canaria | CNN |
Juan Manuel García Varilla | MicroWebServices, SL | alzheimer, early diagnose, machine learning, pattern detection, PET, imaging |
Rafael Garcia-Dias | KCL | sMRI, Machine Learning |
Jord Garcia-Ojalvo | Universitat Pompeu Fabra | Brain dynamics, relaxation dynamics, potential landscapes. |
NEHA GARG | akgec | ALZHEIMER |
Ambika Garg | Thapar Institute of Engineering and Technology | Feature Extraction,PCA |
sampurna garg | thapar university | 123456 |
Rhythm Garg | Stanford University | computer vision, neuroimaging |
Gaurav Garg | University of Ulster | Modeling, EEG, fMRI, Alzheimer's, AD |
Monica Garibay | OHSU | connectivity, biomarkers, |
Valentina Garibotto | Geneva University Hospitals | FDG PET, tau, Ab42, CSF |
Anurag Garikipati | Dascena, Inc | Machine learning, deep learning, MRI analysis, drug efficacy |
Lana Garmire | University of Michigan | metabolomics, genomics, genetics, clinical data |
José Alejandro Garnica López | Universidad de Monterrey | Alzheimer, MCI, Machine Learning, T2 weighted images |
Diego Garrido | Centre for Genomic Regulation | multivariate regression, GWAS, QTL mapping, Alzheimer's disease |
Dimple Amitha Garuadapuri | Eleanor Roosevelt High School | Diagnosis, Alzheimer's disease, MRI, machine learning |
Isabel Garza | Lufkin High School | Science Fair |
Eduardo Garza-Villarreal | Instituto Nacional de Psiquiatria | diabetes, imaging genetics, neuroimaging |
Christian Gaser | Jena University Hospital | brainage, vbm |
gagasgsag gasgasgags | NIS | ML |
Gabriele Gaßner | University of Kiel | Hippocampal Volume, Hippocampal Atrophy |
Chris Gatenby | University of Washington | MRI |
Vincent Gaudet | University of Waterloo | iterative algorithms, belief propagation, stochastic computing |
Iris Ivy Gauran | University of the Philippines | Meta analysis, ordinal data, homogeneity |
Deepam Gautam | philips | research and investigation |
Nishant Gautam | JIIT | CN LMCI AD |
Deepam Gautam | philips | Brain MRI AI |
Serge Gauthier | McGill University | Imaging, Alzheimer's Disease, Brain Connectivity |
Nathan Gaw | Arizona State University | multivariate analysis, hierarchical model, disease progression |
Jodie Gawryluk | University of Victoria | white matter, MRI, DTI, cognition |
mihály gayer | university of geneva, switzerland | master thesis, deep learning classification algorithm |
XINTING GE | University of Southern California | AD, Image process |
Black Ge | Beijing University of Science and Technology | fMRI ,classify |
Tian Ge | Athinoula A. Martinos Center for Biomedical Imaging | neuroimaging genetics |
changrong ge | Karolinska Institutet | biomarker |
Shufei Ge | Simon Fraser University | Associations study, Group Lasso ,spatial correlation structures |
youjin ge | Shanghai Maritime University | AD |
chuanhua ge | chongqing medical university | AD |
stephan gebel | Fraunhofer Institute for Algorithms and Scientific Computing SCAI | Ontologies, Terminologies |
Haymanot Gebre-Amlak | University of Missouri - Kansas City | Signal Processing, AI and Big Learing |
Wen Gege | Donghua University | Alzheimer's disease;mechine learning |
Zoltán Gelencsér | NETIS Zrt | dementia Parkinson Alzheimer |
Pei Geng | Illinois State University | Functional data analysis, neural networks, application in ADNI |
feifei geng | Emory University | Perivascular Spaces Segmentation |
lijun geng | Northwestern Polytechnical University | Longitudinal Prediction Deep Learning |
CLAUDIO GENTILI | University of Padua | Functional connectivity; Alzheimer |
Claudene George, MD, RPh | Albert Einstein College of Medicine | ACE Inhibitors, Dementia |
Richard Gerkin | Arizona State University | teaching |
Dwight German | University of Texas Southwestern Medical Center | klotho, clusterin, ApoE, FGF23 |
Liliana German-Castelan | University of Western Ontario | Cholinergic system, amyloid beta, basal forebrain |
Eske Gertje | Skane University Hospital/ Lund University | publishing rights |
Corey Geurink | 1973 | exome, Alzheimer's, risk, allele |
Olivier Gevaert | Stanford University | deep learning multi-scale modeling |
gül gezer | eskişehir osmangazi university | CNN |
Sima Ghafoori | shahid beheshti university of medical sciences | Alzheimer's Disease, mild cognitive impairment |
Sima Ghafoori | shahid beheshti university of medical sciences | Alzheimer's Disease, mild cognitive impairment |
Ali Ghafouri | The University of Texas at Austin | Alzheimer |
Mohamed Ghalwash | IBM Research | progression; personalized |
fatemeh ghanad | payamenoor | Alzheimer disease, classification |
Behrooz Ghane | University of Isfahan | Deep Learning |
Farnaz Gharedaghi | Tabriz university | PET/ MRI super resolution |
Saoussen gharsallah | ISIM Gabes | WMH, Segmentation |
MEHDI GHASEMI | IUST | graph theory |
Saida Ghazela | Faculté des Sciences de Gafsa | Alzheimer Database Brain |
Saeed Ghodsi | University of California, Los Angeles | Disease Progression Modeling; Statistical Analysis; Healthcare Services Research |
Mahsa Ghorbani | Technical University of Munich | graph convolutional networks, node classification, prediction |
zahra ghorbanzadeh | Bojnord university | signal processing and classification |
Palash Ghosal | NIT DURGAPUR ,INDIA | Deep Learning,Machine Learning,Neurodegenerative disease |
Soumya Ghose | GE Global Research | Deep learning |
Debjyoti Ghosh | VISVA BHARATI UNIVERSITY | Alzheimer, Disease, MRI |
Sukanta Ghosh | Jadavpur University | Alzheimer's disease Soft Computing |
Debjyoti Ghosh | Visva-Bharati University | Alzheimer |
Robin Ghosh | Jackson state university | Image Analysis, CNN |
Luca Giancardo | University of Texas Health Science Centerat Houston | machine learning, longitudinal connectomes |
Neha Gianchandani | Manipal University Jaipur | Deep Learning, Alzheimer |
James Giang | University of Agder | Machine learning masterthesis |
Laura Gibbons | University of Washington | Genetics, using ADNI data as a teaching example, Friday Harbor |
Jesse Raphael Gibbs | National Institute on Aging, NIH | genetics neurodegeneration |
Richard Gibbs | Baylor College of Medicine | Structural variants; ADSP |
Lauren Gibilisco | AbbVie | biomarkers, progression |
Gary Gibson | Weill Cornell Medical College | conversion |
camila gil | U. militar | Corazones.171 |
Sascha Gill | University of Calgary | Neuropsychiatric Symptoms, Machine Learning, cognitive decline, Neuroimaging, |
Guillem Giménez | Universitat Politècnica de València | Electroencephalography; Brain connectivity; Dementia; Alzheimer Disease |
Joseph Giorgio | University of Cambridge | Multi-Modal Imaging, Machine Learning, Cognition, Generalisable Models |
Muhammad Girach | Nottingham Trent University | MRI, Convolutional Neural Networks, Keras, Deep Learníng |
Diana Giraldo | Universidad Nacional de Colombia | Morphometric Analysis |
CHAITANYA GIRASE | Ezytek consulting pvt ltd | model building using Artificial intelligence technology |
Giridhar giri | VKIT | Alzheimers, MCI, controls, MRI, fMRI |
Smith Giri | University of Alabama at Birmingham | Neural networks, AI |
Charul Giri | University of Agder | 3D CNNs, Alzheimer's detection, Alzheimer's prediction, Computer vision |
Arnab Giri | Jadavpur University | Image processing analysis of alzheimer's disease |
Juan D. Gispert | Fundació Pasqual Maragall | Partial Volume Correction, |
Riccardo Giubilei | University of Rome La Sapienza | statistical learning, decision trees, classification |
Averi Giudicessi | Columbia University | Alzheimers, Sex differences |
Giovanni Giulietti | IRCCS Santa Lucia Foundation | magnetic resonance, DTI, Alzheimer, mild cognitive impairment |
Felipe Giuste | Emory University | Neuroimaging, Machine Learning, Neuroinformatics |
Helia Givian | - | 0440571898 |
Helia Givian | Islamic azad university south tehran branch | Alzheimer’s disease, deep learning, machine learning |
Helia Givian | South Tehran Branch of Islamic Azad Universiy | Alzheimer's disease, Neurological disorder, deep learning, MRI |
Jacob Gjerdalen | University of Victoria | DTI |
Scott Gladstein | AbbVie | image analysis, machine learning, patient stratification, clinical trial design |
Kelly Glavin | University of Pittsburgh | diffusion MRI |
Ezequiel Gleichgerrcht | MUSC | Neurology, connectom |
M. Maria Glymour | UCSF | Friday Harbor; psychometrics; cognitive reserve; using ADNI data as a teaching e |
cns gns | neu | FSL, segmentation |
Alison Goate | Icahn School of Medicine at Mount Sinai | Genetics, using ADNI data as a teaching example, Friday Harbor |
David Godinez | University of North Texas | Data, alzheimers |
Ryan Godwin | Wake Forest Baptist Health | Machine learning, artificial intelligence, glymphatic, PET, MRI |
Denise Goedhart | Paramedische hogeschool | MRI and MS |
TRIPTI GOEL | NIT Silchar | Deep leaning, feature ranking |
Gadi Goelman | Hadassah Hebrew University Medical Center | fMRI, coherence, directed pathways |
Nitika Goenka | UPES | Health Data Analytics, ML |
Jantje Goerdten | University of Edinburgh | Dementia, risk prediction, middle-age |
Aditya Gogoi | Anthem Inc. | Deep Learning; Ensemble; onset Dementia; |
Sheng-Yang Goh | UCSF | frontotemporal dementia |
Suril Gohel | School of Health Professions, Rutgers University | PET, MRI, Alzheimer |
Busra Gok | Boston University | Alzheimer PBMC |
Sapir Golan | Sheba Medical Center | AD, IRAP, IDCD, Diabeties |
Mohammad Golbabaee | University of Bath | compressed sensing, machine learning |
Andrew Goldfine | GSK | clinical trial |
Felicia Goldstein | Emory University | task engagement, recognition memory, normal cognition, MCI, AD |
Ido Goldstein | The Open University of Israel | Deep Learning, image analysis |
Ali Golestani | University of Toronto | segmentation, deel learning, convolutional neural network |
Ann Gollapudi | Pine Richland HIgh School | Alzheimer's diesease |
Sepehr Golrizkhatami | Fraunhofer Institute | Event-based modeling, mechanism validation |
Jesus Gomar | Northwell Health | Amyloid PET |
Catalina Gomez | Universidad de los Andes | brain tumor segmentation, |
Alejandra Gomez | University of Texas at El Paso | A0]POE4 gener, hippocampus, MRI images, behavioral test results, demographics |
Jon Ander Gómez Adrián | Universitat Politècnica de València | Deep Learning; Semantic segmentation of medical images; Predictive models; |
Vanessa Gomez-Verdejo | Universidad Carlos III de Madrid | machine learning, mri |
Sofia Gonçalves | Instituto Superior de Engenharia do Porto | Alzheimer's disease |
SAI KUMAR GONDI | Search Results Web results Dr.M.G.R. Educational and Research Institute | diabetes type-II , research , Deep Neural Networks |
Yunguo Gong | Eisai | Biomarker |
JIAHONG GONG | Harbin Medical University | 966730967 |
bangming gong | shanghai university | multi-view, medical imaging |
Yu Gong | Shenzhen Institutes of Advanced Technology Chinese academy of sciences | joint imaging; reconstruction; accelerated MRI; low-dose PET |
Liang Gong | Chengdu Second People's Hospital | APOE gene; functional connectivity; AD; Aging |
Kuang Gong | Massachusetts General Hospital | Deep learning, AD, MCI |
Venkateswarlu Gonuguntla | Samsung Medical Science Research Institute | graph convolution, fMRI |
Cassandra Gonzalez | CU Anschutz Medical Campus | Comparative Anatomy |
Evelio Gonzalez | CNEURO | MRI, hippocampus |
PAULA GONZALEZ | CONICET-HEC-UNAJ | Aging, asymmetry, South American populations |
Julian Gonzalez | escuela colombiana de ingenieria julio garavito | alzheimer, machine learning |
Daniel Alejandro Gonzalez Salamanca | Universidad Nacional de Colombia | computational machine |
diego maximiliano gonzalez vivanco | UNAM | Machine learning and artificial intelligence |
Gabriel Gonzalez-Escamilla | University Medical Center of the Johannes Gutenberg-University Mainz | Aging, neurodegeneration |
Max Goodman | UCLA | blood, CSF, biomarker, PET, MRI |
Abbey Goodyear | National Institutes of Health - NIBIB | DTI |
Dhruman Goradia | Banner Health | Machine learning, deep learning and AI |
Marcia Gordon | Michigan State University | senescence, CDKN2A, microglia |
Brian Gordon | Washington University in St. Louis | tau, amyloid, PET |
Hailey Gordon | West Los Angeles Veterans Affairs | Alzheimer's Dementia 2FA PET Neural Imaging |
ELENA GORELLI | UNIVERSITà DEGLI STUDI DI SIENA | Neural Network, CNN, Siamese network, MRI images, Alzheimer |
Pietro Gori | Télécom ParisTech | T1, DWI, statistical shape analysis, education |
Priyanka Gorijala | Indiana university Purdue university | convolution neural network, Alzheimers |
Richard Gorniak | Thomas Jefferson University | MRI, convolutional neural networks, medial temporal sclerosis |
Juan Manuel Gorriz | University of Granada | Image processing, Random forest |
Tazuko K. Goto | Tokyo Dental College | Alzheimer Disease, tooth |
Tsubasa Goto | FUJIFILM corporation | brain region, multimodal, predict progression, pTau |
Assaf Gottlieb | UTHealth | AD, FTD |
Franziska Gottwald | Paderborn University, Germany | Alzheimer's prediction and treatment |
Walaa Gouda | JOUF University | alzheimer, CAD |
Daniel Gourdeau | Université Laval | Radiomics,AD prognosis, machine-learning, texture analysis |
Megha Gowda | Student | Cognitively Normal(CN), Mild Cognitive Impairment(MCI),Alzheimer's disease, |
Saksham Goyal | BML Munjal University | Reasearch, Computer Vision |
sonal goyal | NSIT, New delhi, india | MRI, Classification |
GAURAV GOYAL | CHITKARA UNIVERSITY | multiple sclerosis |
Palak Goyal | Thapar Institute of Engineering and Technology, Patiala | Alzheimer's Disease |
Vidisha Goyal | Georgia Institute of Technology | Medical Image Processing |
Shubham Goyal | Maharaja Agrasen Institute of Technology | Major Project |
Manu Goyal | Washington University School of Medicine | ADOPIC |
Elveda Gozdas | Stanford University | Mild Cognitive Impairments |
Illana Gozes | Tel Aviv University | ADNP, ADNP related genes, RNA-seq |
SARASWATHY GR | M S Ramaiah University of Applied Sciences | Computational, Alzheimer's disease |
Vijay GR | SJCIT | alzheimer's disease, MRI, CNN, image processing |
Ariel Graff | Universtity of Toronto | depression, amyloid, PET |
Jinko Graham | Simon Fraser University | multivariate analysis, genotype-phenotype association, structural MRI, SNPs |
Kamil Grajski | Nurosci, LLC | Classification Trees, Nonlinear Regression, Neural Networks, Big Data, HADOOP |
Ilaria Granata | National Research Council (CNR) | radiomics, classification, integration |
Marilyn Grand'Maison | Biospective | PET, MRI, Alzheimer's, Cortical Thickness, AV45 |
Massimiliano Grassi | Villa San Benedetto Menni Hospital | Machine Learning, Conversion to Alzheimer's Disease, MCI |
Lisa Graves | VA San Diego Healthcare System; UC San Diego | Neuropsychology; risk factors; mild cognitive impairment; Alzheimer's disease |
Katherine Gray | Imperial College London | Alzheimer's disease; early diagnosis |
Elisabetta Grecchi | GE healthcare | AD, amyloid, prediction |
Elaine Green | Plymouth University | L1 elements, retrotransposons |
Lior Greenberg | Israel Open University | student |
Sara Greenfield | UC Davis | metabolites genome |
David Greenstein | Multimodal Imaging Services Corporation | Diffusion Imaging, Restriction Spectrum Imaging, Alzheimer's |
Allison Gregg | UT Southwestern Medical Center | neuropsychology, psychiatry, neuroimaging, neurocognitive |
Sarah Gregory | University of Edinburgh | Cortisol Diabetes HbA1c |
Michael Greicius | Stanford University | genes, structure |
Joseph Grieco | Wake Forest School of Medicine | MRI Brain Alzheimer |
Joshua Grill | UC Irvine | informant |
Andrea Grioni | Central European Institute of Technology (CEITEC) | AD DREAM model prediction |
Anthony Griswold | University of Miami | whole genome sequencing, ABCA7, VNTR |
Stefan Grivalsky | Slovak University of Technology in Bratislava | prediction, deep learning, alzheimer |
Janet Groat | Manukau Institute of Technology | machine learning, AI, Data Science |
Colin Groot | VU University medical center | Alzheimer's disease, Voxel-based morphometry, psychometrics |
Giuseppe Grossi | Ryerson University | Deep Learning, Computer Vision, Machine Learning |
Matteo Grudny | University of Florida | diffusion magnetic resonance imaging, functional connectivity metrics |
Arne Grundstad | AbbVie | AbbVie ADNI |
anjani gss | NIT,Andhra Pradesh | machine learning project |
Sandro Gsteiger | F. Hoffmann-La Roche Ltd | disease progression, economic model, natural history model |
Xuejun Gu | The University of Texas, Southwestern Medical Center | radiation, representation learning |
Xiaoqing Gu | Changzhou university | machine learning;disease classification |
Nannan Gu | Shanghai Mental Health Center | cognitive impairment, Alzheimer’s disease, data-mining techniques |
guojun Gu | Tongji Hospital, Medical School of Tongji Univers | ASL |
Luyan Gu | Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou | perivascular space |
dongdong gu | Hunan University | MRI |
Yi Guan | Boston University School of Medicine | Imaging, MCI, subtypes |
Hao Guan | UNC at Chapel Hill | machine learning, AD classification, MCI prediction |
Yohn Guan | Shanghaitech University | disease progression, metric learning, multi task |
zhao guanhua | Tianjin University of Traditional Chinese Medicine | machine learning,Alzheimer's disease |
Cecilia Guariglia | Università Sapienza | dementia, cerebellum, mri |
Egle Gudziuniene | Lithuanian University of Health Sciences | Alzheimer's disease, early diagnostics, dementia, brain damage |
Tobias Guennel | Precision for Medicine | CSF, predictive, machine learning |
Rosember Guerra Urzola | Tilburg University | Sparse Principal component analysis, High Dimensional analysis, Optimization |
dhouha Guesmi | ISIM of SFAX | alzheimer's disease |
Besma Guesmi | ISIM Monastir (ISIMM) | 8PI35 |
Daniel Guetta | Columbia Business School | teaching random forests |
Pamela Guevara | University of Concepción | white matter bundles, anatomy, machine learning |
Peng Gui | Wuhan University | medical image registration |
Agathe Guilloux | Université Evry - Paris Saclay | statistical learning, survival analysis |
Abel Guimaraes | Ryerson | deep learning, Alzheimer’s Disease |
Vânia Guimarães | Faculty of Engineering of the University of Porto | Classification, Alzheimer's Disease |
Ana Guisasola | Universidade do Minho | machine learning, medical image, artificial intelligence |
HE GUIYING | ruijin hospital | alzheimer's disease;fmri;early diagnostic markers |
sharvari gujja | Wuxi NextCODE | machine learning, deep learning, genetic drivers |
ESRA GÜLAY | ERCİYES UNIVERSITY | Alzhemier, fMRI |
Doğuş GÜLGÜN | Mersin University | Deep Learning, Classification |
SARITA GULIA | KRMU GURGAON | MATLAB, AD, ADNI |
Joseph Gullett | University of Florida | Deep Learning, Neural Networks, Neurocognitive Function |
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 |
Kalyani Gunda | KL University | EARLY ALZHEIMER'S DETECTION |
Roger Gunn | Imperial College London | Mathematical Analysis, Classification, Machine Learning |
MUKUN GUO | Nanyang Technological University | Cross-modality, domain adaptation |
Jingwen Guo | Macau University of Science and Technology | super-resolution,medical images |
haoming guo | The First Affiliated Hospital of Chongqing Medical University | MRI |
Yi Guo | Xiamen Branch, Zhongshan Hospital, Fudan University | ASL. |
zh guo | Bio-totem | deep learning |
Xiaoyan Guo | Qiqihar University | deep learning medical imaging |
William Guo | No Institution/Company (High School) | DNA Methylation, Alzheimer's Disease |
lisha Guo | Hebei Medical University | MRI PET early dementia diagnosis |
yu guo | huazhong university of science and technology | DTI |
Jiaming Guo | Massachusetts General Hospital | ordinal regression, progression of AD |
Gavin GUO | The Hong Kong Polytechnic University | machine learning; transfer learning;AD |
Zixu Guo | University of Reading | ADNI, Machine learning |
Jia Guo | Columbia University | AD, MRI |
Yanrong Guo | Hefei University of Technology | classification , neuroimaging |
Shunchao Guo | Guizhou University | classification |
Pei Guo | Shanxi medical university | AD |
Tengfei Guo | University of California, Berkeley | Alzheimer's disease; amyloid; tau; neurodegeneration |
Yining Guo | New York University | modeling |
qingchun guo | CIBR | ASL, PET |
wenbin guo | Pingtan Comprehensive Experimental Area Hospital | alzheimer |
Bin Guo | Vanderbilt University | White Matter, BOLD, Lag time |
Pengfei Guo | Johns Hopkins University | MRI, acceleration, reconstruction |
JIAYI GUO | Tianjing University | fMRI Analysis |
Jia Guo | UC Riverside | motion artifact |
Shang Guocan | South Central University For Nationalities | Image Segmentation, Image Landmark Extraction |
Yu Guoxian | ShanDong University | medical image analysis,Few-short Learning,Deep Learning |
Feng Guozheng | Beijing Normal University | Congnitive disease; prediction |
Ayush Gupta | IIT Delhi | NA |
Ankit Gupta | Siemens Healthcare Private Limited | biomarkers imaging prediction |
Satyam Gupta | Ajay Kumar Garg Engineering College Ghaziabad | neuroimaging |
Nikhil Gupta | in-med prognostics | Neuroimaging, Early diagnosis, Alzheimer's |
Ashish Gupta | Independent Researcher | Machine Learning, Deep Learning |
Yubraj Gupta | Chosun university | CNN, Alzheimer disease |
VAIBHAV GUPTA | AKGEC GHAZIABAD | ALZHEIMER'S DISEASE |
Prajwal Gupta | PESU | Super resolution, MRI, neural network, image enhancement |
Vishu Gupta | Malviya National Institute of Technology | dementia, Alzhemer's |
Aditi Gupta | KUMC | Chronic kidney disease, Alzheimer’s Disease, amyloid, GFR, cognition, MCI |
gaurav gupta | Shoolini University | Alzheimer image segmentation machine learning |
Sunidhi Gupta | NYU | Alzeihmer, dataset, predict |
Vivek Gupta | Softsensor.AI | AI, Alzheimer, segmentation, disease progression |
Pranav Gupta | IIT BHU | CNN, Image Processing, Dementia classification |
Rishab Gupta | SUNY Downstate Medical Center | Alzheimer Disease, Outcome, ethnicity |
Aditi Gupta | NIT Raipur | Machine Learning, Alzheimer |
Amrit Gupta | Vellore Institute of Technology, Chennai | Predect Alzeihmer's using Machine learning |
Sanskriti Gupta | NCU | FMRI, Alzheimer's Disease, Dee Learning |
Priyanka Gupta | Indian Institute of Science | MCI, Alzheimer's |
Vinay Gupta | University of Manitoba | Alzheimer's disease, graph theory, multivariate analysis, support vector machine |
Niraj Gupta | IISER bpr | Alzheimer's disease |
SHLOMIT GUR | Penn State University | Evolving functional connectivity analysis, machine learning, graph theory |
harsimran guram | LPU | Machine learning, deep learning,dementa |
Antoni Gurgui | IBEC | progression model, alzheimer disease, simulation, |
Segolene GURNOT | le wagon | diagnosis prediction longitudinal imaging |
Mahmut Edip Gurol | Massachusetts General Hospital | CAA, cortical thickness, controls, AD |
Jose Gutierrez | Columbia University | arterial diameters, beta amyloid, tau |
David Gutman | EMORY UNIVERSITY | mri dti adni |
Boris Gutman | University of Southern California | DTI, diffusion MRI, Alzheimer's, human connectome |
Meghana Guttikonda | Academies of Loudoun | MRI Scans, Parkinson's Disease, Biomarkers. |
Rodney Guttmann | University of West Florida | Secondary data analysis, public health,minorities, rural |
Beata Gyorgy | ICM | gwas, personalised medicine, longitudinal analysis |
Sung Min Ha | Washington University in St. Louis | Alzheimer's Disease, Machine Learning |
MARYAM Habadi | King Abdulaziz University | Alzheimer’s disease, parametric analysis, copula, bivariate distribution |
Reggie Habas | Lambda School | Blank |
Mohamad Habes | UTHSA | neuroimaging, deep learning |
Mohamad Habes | UPENN/UTHSA | machine learning |
yibeltal habtamu | AAiT | data,information,knowledge then wisdom. |
Tetiana Habuza | UAE University | brain atrophy,VBM |
Maren Hackenberg | Medical Center - University of Freiburg | deep learning, dynamic modelling, personalised medicine, machine learning |
Mallory Hacker | Vanderbilt University Medical Center | PDRP, PDCP, ADRP, FDG-PET |
Timothy Hackett | University of Nebraska - Lincoln | aging, stiffness, biochemistry |
Amir Hadanny | Shamir Medical Center | head circumference |
Seyyed Mohammad Hassan Haddad | University of Western Ontario | Resting-state fMRI, Amyloid PET, Brain Activity |
Christoforos Hadjichrysanthou | Imperial College London | Alzheimer’s disease; biomarker trajectories; clinical trial simulations; |
Ida Haeggstroem | MSKCC | pet; survival; deep learning |
Kirsten Hagen | Oregon Health & Science University | plasma, oxylipins |
Paul Hager | LMU | myelin, machine learning, GAN, PET, DTI |
Amin Haghani | University of California Los Angeles | Alzheimer, DNA methyalation |
Shira Hahn | Aural Analytics, Inc. | neuropsychological testing, statistical modeling |
Georg Hahn | Harvard T.H. Chan School of Public Health | population stratification, locStra, local analysis |
Alice Hahn | Samsung Medical Center | preclinical Alzheimer's disease |
Yan Hai | Georgia state university | confidence interval, sensitivity |
Nour Elhuda Haidar | KIIT | Alzhimer's disease, CNN, image classification, deep learning |
Ye HaiLi | CASIA | CV |
JIN HAILIN | sejong university | Alzheimers Disease, segmentation |
Nic Hainc | TWH | deep learning keras |
Jiang Haitao | USTC | scientific research |
Nahid Hajizadeh | Shiraz University of Technology | Alzheimer |
Navneet Hakhu | University of California, Irvine | enrichment, model misspecification, mean-variance, bias, clinical trials |
Omar Halawa | Harvard Medical School | IADL, neuropsychiatric symptoms, tau PET |
Molly Hall | Pennsylvania State University | Metabolomics, genomics, multi-omics integration |
Vikas Hallikeri | JSS science and Technological University | Early detection of Alzheimer's disease |
Amy Halpin | University of Maine | CSF biomarkers, cut points, demographics |
Osama Hassan Hamadelseed Abdualrahman | Institute of Anatomy & Cell Biology / Heidelberg University | Down Syndrome, Alzheimer disease. Neuroanatomy, Neuroimaging |
Hala Hamdi | Mansoura University | 111999 |
Radin Hamidi Rad | Ryerson University | AI, Machine Vision |
Tyler Hammond | The University of Kentucky | cognitive reserve, Alzheimer disease, aging, DTI, MRI |
Solveig Hammonds | Helse Stavanger HF | Prodromal dementia, deep learning, MRI |
Olivia Hampton | Massachusetts General Hospital | PACC, harmonization, amyloid, cognitive decline |
Fatih Hamza | Izmir Institute of Technology | Neural network, Alzheimer, MRI, PET |
Maryam Hamzelu | Tarbiat Modares University | Deep learning, machine learning |
JIYONG HAN | KOREA | Deeplearng; Gan; Classification |
qinghua han | Yunnan university | Alzheimer's disease(AD,MCI,machine learning,deep learning,ADNI |
Ruizhi Han | University of Macau | Image classification, Computer vision, Computer aided diagnosis |
Wenjing Han | Capatical Medical University | gene multimodal |
Liang Han | Chongqing University | early detection, MRI, MCI, AD, Artificial Intelligence |
Feng Han | the Pennsylvania State University | biomarker, fMRI, brain dynamics, prediction model |
Hyeseon Han | Unomic | dementia, MRI, PET, machine learning |
Duke Han | USC | cognition, neuroimaging |
yujeong han | konyang university | deep running |
liting han | University Of Shanghai For Science And Technology | analysis |
fei han | Shanghai Maritime University | ml |
christopher hancock | University of California Riverside & HALO Dx | Alzheimer's disease, dementia, MCI, AD, HC, CU |
Francis Hane | Lakehead University | AD prediction, APOE4, Bayesian |
kong hang | Beihang university | deep learning,medical image |
liu hang | Tsinghua university | apoech |
Alexandru Hanganu | University of Montreal | T1, fMRI, rsfMRI, DTI |
Nicolai Hans | Humboldt University | copula regression, boosting, feature selection in medicine |
Bernard Hanseeuw | Massachusetts General Hospital | Striatum hippocampus |
Maria Hansen | Technische Hochschule Mittelhessen | Alzheimer's Disease, Neuronal Networks |
Kevin Hanson | University of Florida | Machine learning, prediction, TBI, APOE, biomarkers |
Yayu Hao | Tsinghua University | Deep Learning, Medical Image Registration |
JIANG HAO | NEU | 12345642 |
Meiling Hao | University of International Business and Economics | Gene; Statistical Analysis; AD |
Huaying Hao | Ningbo Institute of Industrial Technology | multi-modality images |
Gaoyang Hao | Jiangnan University | Image Registration |
Zhiying Hao | University of Electronic Science and Technology of China | machine learning ; medical image processing |
ziteng hao | beijingjiaotongdaxue | alzheimer-disease-prediction |
Yayu Hao | Tsinghua University | Deep Learning, Medical Image Registration |
hu hao | Qing Dao University | Alzheimer's disease; blood biomarkers; early diagnosis |
zhiyu hao | Northeast Agricultural University | GWAS, Binary traits, Generalized linear mixed model |
Yang Hao | Beihang University | Functional imaging, brain connectivity |
Muhammad Haque | University of Texas, McGoveern Medical School | ASL, Stroke |
Joanna Haralampieva | Imperial College London | Brain Imaging, Machine Learning, Neurodegenerative Diseases |
Oscar Harari | Washington University in St Louis | Genetic studies, GWAS, Sequencing, CSF, plasma, proteome, Ab, Tau |
Shaghayegh Harbi | - | Genomic RNASeq |
Cheshire Hardcastle | University of Florida | Resting-state network, resting-state connectivity, MCI, aging, cognition |
Seth Austin Harding | Reliance Biosciences | artificial intelligence in dementia alzheimer's treatment therapy AD score |
Ian Hardingham | Oxford Brain Diagnostics | DTI MRI |
Evan Hare | University of Southern California | Early Detection, Amyloid-Negative, TDP-43, Amyloid, Tau, Biomarker |
Poornima Haridas | New York University | GNN, Deep Learning, Alzheimer's Disease |
Matthew Harper | Liverpool John Moores University | IADL, difficulties |
Amal Harrati | Stanford University | Genetics, using ADNI data as a teaching example, Friday Harbor |
Breanna Harris | Texas Tech University | cumulative stress, Alzheimer's disease, biomarkers, cognitive function |
Danielle Harvey | Unversity of California, Davis | biostatistics |
Brandon Harvey | Emory University | Alzheimer's Disease, Quasi-Periodic Potentials, fMRI, connectivity |
Naimul Hasan | University of Chittagong | Alzheimer's disease |
Ali Hasan | Al Nahrain University | Deeplearing |
Md. Mahmodul Hasan | Mawlana Bhashani Science and Technology University | AD, CNN, SVM, AD Detection |
md tasnimul hasan | University of potsdam | Image classification |
noorul hasan | National Institute of Technology | Image Segmentation |
Omar Hasan | McGovern Medical School | DTI, sMRI, AD |
Syifa Hasanah | ITB | final project |
parham hasani | university of Tabriz | data science, machine learning, AI |
Jonathan Hasbani | ITBA | Neural networks, machine learning, Alzhei |
Gwenole Hascoet | Georgia Institute of Technology | prediction, Alzheimer, progression |
Arsalan Hashemiaghdam | Yale University | Cognition, Alzheimer's disease |
Somaye Hashemifar | Columbia university | Machine learning, Research |
Helia Hashemolhosseiny | Alzahra | Alzheimer-CNN-deep learning |
Ramin Hashimzade | Private Person | Data Science |
Jakub Hasiec | Warsaw School of Economics | Predictive modelling, data mining, Alzheimer's disease |
Grant Haskins | EvoAI (new start-up) | Deep Learning, Machine Learning, Medical Image Analysis |
Mahmoud HASSAN | Rennes University | EEG; Dysfunctional Brain networks; |
Omar Abdulaziz Hassan | Dayananda Sagar University | deep learning,convolutional neural network,flask framework |
Sean Hatton | UCSD | MRI, data harmonization |
Daniel Hauber | Gerontology | teaching |
Marc Haut | West Virgnia Univesity | ultrasound |
Toshihiro Hayashi | University of Tokyo | MRI, psychology, biomarker |
Jasmeet Hayes | The Ohio State University | Parkinson's disease; cortical thickness; genetics |
Chris Hayward | Newcastle University | Cognition, Structural connectivity, Brain, MCI, IQ |
AMLAN PROTIM HAZARIKA | JADAVPUR UNIVERSITY ,KOLKATA | MRI, Fuzzy Theory, Machine Learning |
RUHUL AMIN HAZARIKA | NEHU | Alzheimer detection using brain MRI |
Nalini Hazra | USC | Alzheimer's |
Suvojit Hazra | University of Calcutta | neuroimaging |
Ke He | Tsinghua University | Registration, deep learning |
xiaoxi he | Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianji | 861130 |
Xuanning He | Australian National University | Dementia, Cognitive Function, Lifestyle, Cognitive Reserve |
Changxiang He | University of Shanghai for Science and Technology | Geometric renormalization unravels self-similarity of the multiscale human conne |
Siyuan He | Changchun University of Science and Technology | computer aided diagnosis, deep learning |
Chenyu He | Shanghaitech University | Segmentation, T1, Human Brain |
Michael He | University of Manitoba | Alzheimer's Disease, Temporal Lobe Epilepsy, FDG-PET |
Liqin He | UCLA | Alzheimer patient's neuroimage, early detection, convolutional neural network |
Xiaoning He | The Second Affiliated Hospital of Dalian Medical University | Radiomics |
Yao He | University of Utah | PET, FDG-PET, Focal AD |
shanshan he | jilinunivercity | soft |
Hui He | Beijing Institute of Technology | EHR Alzheimer Neuroimaging |
Zhen He | La Trobe University | deep learning, computer vision |
lemin He | Shandong first medical university | AD Brain Network Multimodal |
Linchen He | New york university | Association test, binomial mixture model, complex disease, genetic heterogeneity |
Eric He | UNC | MIA |
Yuening He | Georgia State University | Apathy |
yuru he | Sounth Medical University | PET-MR |
Hao He | Georgia Institute of Technology | course project |
wenwen he | Guizhou Medical University | experiment |
Tao He | San Francisco State University | set-based association, pathway analysis |
Qiliang He | Georgia Institute of Technology | flicker exposure |
Alesha Heath | Stanford | Variable Number Tandem Repeats, genetic association, biomarker prediction |
Rolf Heckemann | Imperial College London | anatomical segmentation, morphometry, volumetry, |
Dennis Hedderich | Technical University of Munich | Magnetic resonance imaging, cortical thickness, positron emission tomography |
Adrian Heeger | University Hospital Düsseldorf, Germany | brain atrophy, automated workflow, brain aging, brain volume |
Fiona Heeman | Amsterdam UMC, location VUmc | Alzheimer's disease, relative perfusion, amyloid, cognition |
Joseph Heenan | IQVIA | bayesian methods, machine learning |
Mohamed Hefny | Queen's University | Medical Data Analysis, MUltisource data integration, Disease Understanding |
leili heidaryan | sd | 2 |
Luca Heising | Tilburg University | Machine learning, Deep learning, Early detection, Alzheimer's |
Mohsen Hejrati | Genentech | Deep Learning, Progression Prediction |
Khan Hekmatyar | University of Delaware | MRI, Image analysis, python, DTI, |
Jarle Helle | Western Norway University of Applied Sciences (HVL) | Neural network, Brain age, Predict, MCI, Alzheimer's disease |
Caroline Hellegers | Duke | NFL |
Jesse Helman | Janssen Pharmaceutical Companies of Johnson and Johnson | tau PET, correlation, rbans, adas-cog, cdr-sb, multiple outcomes |
Ahmed Hemedan | Luxembourg university | boolean Parkinson disease map |
Christopher Hemond | University of Massachusetts | atrophy, neutrophil-lymphocyte ratio |
Andrew Henney | JCU | Generative Adversarial Networks |
Rui Henriques | Instituto Superior Técnico, Universidade de Lisboa | Classification, Clustering |
Felix Hensel | ETH Zurich | machine learning |
dawoon heo | Korea Univ. | deep learning |
Tobias Hepp | University Hospital Tuebingen | Deep Learning, Age Estimation |
Renato Hermoza Aragones | The University of Adelaide | Deep learning, reinforcement learning, survival prediction, biomarkers |
Monica Hernandez | University of Zaragoza | Computational Anatomy |
Harold Antonio Hernández Roig | Universidad Carlos III de Madrid | fMRI, BOLD signals, stringing, functional data, Alzheimer's disease |
Laura Hernandez-Lorenzo | Complutense University of Madrid | machine learning, genomics, bioinformatics, neurodegenerative diseases |
Marcus Heron | University of ulster | Data Science, Machine Learning |
Jonathan Herrera | Massachusetts Institute of Technology | Alzheimer's Disease, dementia, epigenomics, machine learning, classification |
Jonathan Hess | SUNY Upstate Medical University | Mega-analysis, gene expression, classifiers, machine learning |
Kilian Hett | University of Bordeaux | Patch-based biomarkers, hippocampus, hippocampal subfields |
Kilian Hett | Vanderbilt University | Tensor-based analysis, Diffusion MRI |
Stephen Heun | Avid Radiopharmaceuticals | Flortaucipir |
Nidiyare Hevia-Montiel | IIMAS-UNAM | segmentation, morphometric descriptors |
Nargess Heydari Beni | University of Waterloo | Brain, Imaging, MRI, CT, PET |
Aaron Heyne | Technische Hochschule Mittelhessen | Diagnosis Alzheimer CNN Convolutional Neural Network Wavelet |
Zhang Heyu | The first hospital of Sun Yat-sen University | cognitive statu,biomarkers,tau PET |
Derrek Hibar | Genentech, Inc | imaging genetics, cognitive decline, robust statistics |
Charlie Hicks | Oxford Brain Diagnostics | DTI |
Steven Hill | University of Cambridge | risk prediction, biomarkers |
Frank Hillary | Pennsylvania State University | hyperconnectivity, MCI, risk, neurodegeneration |
Laura Hillmer | University of New Mexico | vascular dementia, mixed dementia, white matter |
Christian Hinge | University of Copenhagen | Deep Learning, Dementia, Alzheimers, GAN, domain transfer, MR, PET |
Max Hinne | Radboud University | Generalized Wishart Processes; network regression |
Jakub Hlavka | USC Price School | outcome measurement, Alzheimer's disease, functional, behavioral, cognitive |
lakshitha hm | studying | preclinical stage detection |
Diem HO | University of Tours | graph comparison, brain connectome |
Raymond Ho | ouhk | machine learning, empirical mode decomposition |
Ngoc-Huynh Ho | Chonnam National University | Deep learning, Bioinformatics, AD |
Nick Ho | The Hong Kong Polytechnic University | machine learning, dementia prediction, feature importance |
Ngoc-Huynh Ho | Chonnam National University | Deep learning, Bioinformatics, AD |
yume Ho | aliyun | research |
Lara Hocurscak | FMF UL | FDG-PET, Alzheimer's disease |
Merle Hoenig | University Hospital Cologne | resilience, PET, polygenic risk |
John Hoffman | University of Utah | FDG-PET, SPM group analysis |
Kareen Hoffmann | University Hospital Magdeburg | vascular dementia, small vessel disease, T2*-weighted MRI, fdg pet |
Malte Hoffmann | Martinos Center | longitudinal morphometry Freesurfer |
Jacqueline Hogan | University of Massachusetts Boston | vvvvv |
Ryan Hogan | St. John's University | Computer Vision |
Timothy Hohman | Vanderbilt University School of Medicine | Genetics, Resilience, Asymptomatic, |
Maggie Pui Man Hoi | University of Macau | Primary healthcare data, machine learning, Prediction of cognitive decline |
Seyed Hani Hojjati | University of Tennessee Health science Center | Alzheimer's disease, PET, sMRI, DTI , Neuropsychological tests |
Daniel Holder | Merck Research Laboratories | Biomarkers |
Todd Hollon | University of Michigan | Pituitary gland, neural networks, pituitary adenomas |
Sean Holmes | Invicro, LLC | Amyloid, ADNI, DICOM, Tau |
Robin Holmes | University Hospitals Bristol | Machine learning, VBM |
Henne Holstege | Amsterdam UMC | Genetics, Alzheimer |
Robyn Honea | University of Kansas School of Medicine, Alzheimer's Disease Center | family history, structural brain imaging, mitochondria |
Jimin Hong | Seoul National University Hospital | unsupervised learning, Alzheimer's disease, imaging biomarker |
junyong hong | Dongseo University | machine learning |
HaoTian Hong | Shanghai University | RSFC fMRI-BOLD |
xin hong | XiaMenUniversity | AD, Prediction |
Yue Hong | The Martinos Center | neuropsychology, machine learning |
Sungmin Hong | Massachusetts General Hospital | Segmentation, Clinical-grade images, Shape Analysis, Longitudinal Shape Analysis |
CHAELIN HONG | Asan Medical Center | MR image feature detection from Deep learning model |
Manzhi Hong | SUN YAT-SEN UNIVERSITY | study |