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 |
Sai Darahas A | National Institute of Technology Andhra Pradesh | neuroimaging |
Revathi A | SRM Institute of Science and Technology | machine learning |
Thushara A | TKM College of Engineering | AD,MCI,Brain graph, rsfmri,DTI,Tractography |
Srinivasan A | CSIR-CMERI | Alzheimer's Disease |
Shravya A | VCET Puttur | MRI |
shyna A | TKM | ASL,CBF |
a a | a | a |
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 |
Kainat Abbasi | Habib University | 3DCNN, Adam(), SGD() |
ali abbasi | Urmia University of Technology | Multiple Sclerosis, machine learning, deep learning, mri,convolutional neural ne |
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 |
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 |
Osama Abdullah | NYU Abu Dhabi | Freesurfer, DTI |
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 |
Mohammed Abuelem | Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imag | APOE4, mild cognitive impairment, amyloid plaque burden |
Francisco Javier Acevedo | University of Alcala | PET, MRI, CSF biomarkers |
Sreenath Acharath | University of Glasgow | Survival Analysis, Machine Learning |
Sajib Acharjee | BUET | Multimodal data Imaging Early detection |
Maria Ram Achary | University of Mumbai | Alzhemeirs parkinsons hungtions and ALS |
Sarah Ackley | UCSF | Alzheimers, Tau, Mathmatical Modeling |
Noriaki Adachi | MSD. K.K. (Japan Branch of Merck) | threshold |
kazuamsa adachi | SORD CORPORATION | DTI-ALPS,ALPS-index |
Nikolaos Adaloglou | INSA | segmentation, medical imaging |
Hieab Adams | Erasmus MC University Medical Center | Neurodegeneration, high-dimensional data, brain imaging, genetics |
Tobias Adamsen | Aalborg University | Super resolution, PSNR, SSIM |
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 |
Abdulyekeen Adebisi | Kyungpook National University, Daegu, Republic of Korea | Alzheimer's disease, dementia, MRI, PET |
Tameem Adel | University of Amsterdam | MRI Classification, Unsupervised Feature Learning. |
aya adel | cairo university | classification |
Avizit Chandra Adhikary | Florida State University | Disease progression, Deep 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 |
Abhi Agarwal | Health Banyan | Medical |
Ishaant Agarwal | BITS Pilani KK Birla Goa Campus, Sancaole, Goa | Unet, segmentation, deep learning |
Siddharth Agarwal | University of Nottingham | brain age, chronological age, delta, radionics |
Deevyankar agarwal | Higher College Of Technology | MRI,Alzhimer DIsease,MCI |
Varun Agarwal | N/A | The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge |
Ajay Agarwal | DIT University | Alzheimer's Disease, Progression |
Tanay Agarwal | Vellore Institute of Technology | GAN |
Amit Agarwal | USC | Tau, microglia, neurodegeneration |
Bless Agbley | University of Electronic Science and Technology of China | Federated ML, Multimodal Medical Analysis |
Kunal Aggarwal | Amity University | Machine Learning, AD, MCI |
Arshiya Aggarwal | Manipal University (MUJ) Jaipur | Alzheimer's, MCI, Early diagnosis, Convolution Neural Network |
Anay Aggarwal | Stoller Middle School | behavior test scores |
Atefe Aghaei | Shahid Beheshti University | image processing, segmentation, feature extraction, deep learning, classificatio |
samira aghaie | Shahid Beheshti university | DTI |
maryamossadat aghili | Florida International University | AZNI Harp Alzheimer |
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 |
Ambuj Agrawal | Elucidata Inc. | Project, Alzheimers prediction, IIIT Allahabad |
TARUN AGRAWAL | NIT HAMIRPUR | DNN, Medical Image |
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 |
Ramiro Aguilar Ordaz | National Polytechnic Institute | Alzheimer, convolutional neural network, digital image processing |
Unai Aguilera | Mondragon University | PET, MRI, HSV |
Rubén Aguilera García | Granada University | CNN, Alzheimer detection, deep learning. |
Juan Aguirre | Universidad Nacional de Colombia | U-NET, deep-learning, brain |
Ifeanyi Aguocha | Cyprus International University | Deep Learning, medical diagnosis, Neural networks |
Kawser Ahammed | Jatiya Kabi Kazi Nazrul Islam University | alzheimer |
Zoheb Ahasan | IIT Delhi | AD, Prediction |
Jamila Ahdidan | Aarhus University | AD, hippocampus, prediction |
Asha Aher | San Jose State University | Machine Learning Alzhmeirs |
Fayyaz Ahmad | UNIVERSITY OF GUJRAT | SPM, FMRI |
Rauf Ahmad | Uppsala University, Sweden | High-dimensions; Multivariate statistics; Linear models, Dependence measures |
Fawad Ahmad | Student | data mining |
Shakeeb Ahmad | Indiana University | Alzheimer's Disease, Cerebral Amyloid Angiopathy |
Fatemeh Ahmadi | Amirkabir University | Ricci Flow, Teichmuller space, metric |
Hessam Ahmadi | Islamic Azad University, Science and Research Branch | fMRI, Non linear, graph theory, functional connectivity |
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 |
SLAM AHMD | UNIVERSITY OF TLEMCEN | ALZHEIMER, Brain disease, Deeplearning |
Fahad Ahmed | Szabist University | computer vision, alzheimer’s disease, brain, mri |
Kamran Ahmed | Daffodil International University | AD detection |
zubair ahmed | Nust university EME college Pakistan | Early Alzheimer Detection |
Khandakar Tanvir Ahmed | University of Central Florida | mutation, MRI image, Alzheimer |
Juweiriya Ahmed | Western University | Psychosis, AD |
USAMA AHMED | Riphah International University | Machine Learning |
ismail ahmed | University of Anbar | BRAIN ANALYSIS |
Tahera Ahmed | Bond University | Alzheimer's, Early Detection, Prediction |
Mughis Ahmed | UOG | Multiple sclerosis |
zubair ahmed | Nust university EME college Pakistan | Early Alzheimer Detection |
Tasnim Ahmed | Islamic University of Technology | Biomedical Image Processing, Neural Networks, Machine Learning |
Hala Ahmed | Faculty of computer science | Bio informatics |
Minkyu Ahn | Handong Global University | Alzheimer's Disease, Random Forest, Magnetic resonance imaging |
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 |
Hadi Akbari-Zadeh | Mashhad University of Medical Science | Brain Image, Age, MRI |
Oguz Akbilgic | Loyola University Chicago | deep learning, medical image analysis |
Erdoğdu Akça | Marmara University Pendik Training and Research Hospital | MCI, ALZHEIMER'S DISAESE |
Osman Akcatepe | University of Hildesheim | Alzheimer's Disease, Spiking Neural Networks, fMRI, Artificial Intelligence |
Adeem Akhtar | Forman Christian College University (A Chartered University) | Longitudinal, Progression, Classification, Prediction |
Vasily Akimov | HSE | Alzheimer, Neurovisualization |
Grace Akindele | Hebei University of Technology, China | Alzheimer's diseases, autoencoder, Neuroimaging |
Essang Akpan | University of Pittsburgh | lateralization, asymmetry |
Mohammad Akradi | Shahid Beheshti University | OSA, AD, MCI |
Muhammad Haroon Akram | Bahria University Islamabad | ALPHA |
Wasim Akram | East West University | detection, deep learning, early-onset Alzheimer, mri |
Farhan Akram | Khalifa University | Alzheimer, early prediction, convolutional neural networks, deep learning |
Mina Akrami | Bahonar | MRI images |
Alexander Aksenov | UCSD | metabolomics |
Leon Aksman | UCL | structural MRI, longitudinal analysis, imaging genetics |
Leon Aksman | USC | test |
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 |
Talib Al Shehhi | DMU | ANN; AI; Cognitive Attribute; Functional Attribute; ML |
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 |
Mohammed Isam Al-Hiyali | UTP | diagnosis model |
Ali Al-Nuaimi | Plymouth University | brain disorder |
Manal Al-Qahtani | King saud university | Grey matter, MRI, Alzheimer, Education |
Khaleel Al-Rababah | DAKOTA STATE UNIVERSITY | DWT |
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 |
Mohammad Arif Ul Alam | University of Massachusetts Lowell | Deep Learning, Reinforcement Learning, Cognitive Decline, Explainable AI |
Tanvir Alam | Hamad Bin Khalifa University | Alzheimer's Disease; Mild Cognitive Impairment; SNP; Machine Learning |
Md Ashad Alam | Tulane University | Robsut kernel, Machine lerning |
Raquib-ul Alam | University of Sydney | longitudinal,mri,mri,pet,genetic |
Wang Alan | WTU | deep learn |
Oscar Alarcon Palomar | UNED | U-Net |
Teresa María Alarcos Tamayo | WstartupC | ML, AI, Alzheimer |
Serdar Alasu | Inonu University | Semantic Segmentation, Adversarial Learninng |
Alessandro Alati | Università degli studi Roma Tre | Graduation thesys University Rome |
Jessica Alatorre-Flores | Universidad Nacional Autónoma de México | Computer Vision, Machine Learning, SVM |
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 |
Joey Albrecht | USC Keck School of Medicine | inflammation, pathology, conversion |
Tara Albrecht | Copenhagen Business School | gene, alzheimer, analyzing |
Daniel Albrecht | University of Southern California | Amyloid, tau, CSF, blood |
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 |
John Sahaya Rani Alex | Vellore Institute of Technology | Alzheimer's |
Robert Alexander | Banner Alzheimer's Institute | CDR |
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 |
doaa Ali | University of kentucky | Preclinical AD - amyloid PET images_ Cognitive function tests |
YAQEEN ALI | Comsats university of Islamabad Lahore campus | White matter hyperintensities,ADNI,Segmentation |
Samr Ali | Concordia University | machine learning, hidden markov models |
shahad ali | Technical College of Management | MRI dataset |
Mohd Hanafi Ali | The University of Sydney | Machine Learning, Computer Vision, Artificial Intelligence, MRI Images, Adaptive |
Muhammad Ali | Washington University in St. Louis | Amyloid, Imaging, GWAS, genetic, biomarker, AD. |
Haider ali | university of gujrat | fmri |
Nyurbek Aliev | None | Normal-pressure hydrocephalus, brain atlas, segmentation |
samire aliniyaee | Yazd University | Alzheimer, biomarker, psychopathology |
Sadiq Alinsaif | University of Ottawa | classification; machine learning; deep learning; feature extraction |
ahcen aliouat | university badji mokhtar of annaba algeria | deep learning, alzheimer |
milad alipour | shahid beheshti university of medical science | Convolutional neural network GCNN Alzheimer’s disease classification |
farzad alizadeh | tums | fmri,deep learning |
Zahra Alkabbaz | University of Leeds | Alzheimer explainable classifier |
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 |
Lama Alshabib | Lean Business Services | classification |
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 |
Duncan Alston | University College London | p-tau 181 |
Israa Alsulaimi | Kennesaw State University | Machine Learning, Course Project |
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 |
Lucca Altomani | Universidade Paulista (UNIP) | Alzheimer |
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 |
João Alves | Universidade do Minho | AD; MCI; Machine Learning; study grant. |
siti nur atiqah alwi | university malaya medical centre | texture analysis and key features |
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 |
Manish Amin | University of Florida | fMRI, DWI |
ACHAIBOU Amina | Ecole national polytechnique d'alger | TEP , detection , neurodegenrative deseas |
Eriza Aminanto | University of Indonesia | classification, alzheimer |
Morteza Amini | Shahid Beheshti University | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Yasin Amini | khuarazmi university | Prediction, ANN |
Morteza Amini | Institute for Cognitive Science Studies | Alzheimer's disease (AD), aMCI, BOLD fMRI, Dementia, Early Detection, PET, fMRI, |
Nasrin Amini | Shahid Beheshti University of Medical Sciences | Alzheimer , MRI, classification |
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 |
Loretta Anderson | University of Maryland, Baltimore | APOE, Alzheimer's, Epigenetics |
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 |
Azhar Anees | University of westminster | Quantum Machine Learning, Alzheimer's, Automation, MRI |
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 |
Shahab Ansari | GIKI | automatic brain segmentation, Alzheimer's disease, machine learning |
FAIZAH ANSARI | MANIPAL INSTITUTE OF TECHNOLOGY, KARNATAKA, INDIA | RESEARCH, PATTERN, CLASSIFICATION, ASSIGNMENT, LABWORK, PRACTICAL IMPLEMENTATION |
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 |
Muhammad Anwarul Azim | BRAC University | Feature selection, Diagnosis, Convolutional Neural Network, Optimization |
Muzamil Anwer | Bahria University | 335630 |
yueyuan ao | UESTC | image registration, deep learning |
Mazin Aouf | Western Sydney University | Medical Research Datasets |
Li Yew Aow Yong | Universiti Teknologi Malaysia | classification |
Jeetashree Aparajeeta | VIT | alzheimer's disease |
CLAUDIA PATRICIA APONTE RESTREPO | UNIVERSIDAD DE ANTIOQUIA | ALZHEIMER'S DISEASE, GENETIC RISK, DYNAMIC CONNECTIVITY |
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 |
Carmel Armon | Tel Aviv University School of Medicine /Shamir (Assaf Harofeh) Medical Center | X chromosome-mediated risk, LOAD |
Nicole Armstrong | National Institute on Aging | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
Matthias Arnold | Helmholtz Zentrum München | gaussian models, data integration, network analysis |
Thomas Arnold | University of Pennsylvania | Cortical thickness, cortical atrophy |
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, |
Hadis Asadi | Islamic azad university Central Tehran Branch | Medical radiation |
Fatemeh Asadi | Tehran universityof medical sciennce | Alzheimer, machine learning |
Babak Asadpour | Shahid Beheshti University of medical sciences | Alzheimer's disease, magnetic resonance imaging, white matter hyperintensities |
bahareh asadpour | ferdowsi university of mashhad | research, sMRI, AD, alzheimer's disease |
Joseph Junior Asante | University of Arkansas at Little Rock | Diagnosis of Alzheimer's disease |
Maame Gyamfua Asante-Mensah | Skoltech | Neural Networks, Classification |
adsad asdhkjashd | Stanford | ML AI |
Moslem Asgari | ATA | Statistics |
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 |
Naba Ashraf | GCUF | ASD |
Azhaar Ashraf | Imperial College London | Amyloid, tau, glucose, MCI, Alzheimer's disease, MRI, PET, CSF, cognitive declin |
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 |
Farrah Aslam | University of Wah | Alzheimer disease prediction |
amara aslam | university of gujrat | fmri |
farah aslam | University of engineering and technology,lore | research |
amara aslam | university of gujrat | Parkinson disease |
Toshihiko Aso | Kyoto University Graduate School of Medicine | BOLD signal, cerebral blood flow, venous drainage |
Assif Assad | Islamic University of Science and Technology | MAchine Learning Deep Learning ARTIFICIAL Intelligence |
arman atalar | Eskisehir Osmangazi University | deeplearning, alzheimer disease, apoe4 |
Meltem Atay | Middle East Technical University | Deep Learning, Convolutional Neural Networks, Effective Connectivity, |
Melvin Selim Atay | Middle East Technical University | Deep Learning, Explainability |
Meltem ATAY | MIDDLE EAST TECHNICAL UNIVERSITY | Deep Learning, Autoencoders, Restricted Boltzmann Machine, Alzheimers |
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 |
Yeuk Lai Au | The Chinese University of Hong Kong | Neurology, bioinformatics |
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 |
Arman Avesta | Yale University | Deep learning, image segmentation, structural brain 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 |
Osama Awwad | Opentica | Alzheimer data |
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 |
Aida Ayati Afin | Mashhad university of medical sciences | MRI, deep learning, Alzheimers disease |
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 |
Narges Azari Jafari | kashan university of medical sciences | brain aging apolipoprotein E alzheimer's disease |
Emanuel Azcona | Northwestern University | Graph convolutional networks, machine learning, MRI, graph signal processing |
Fayez Azeez | Our Memos Inc | cognitive decline |
Syed Furqan Azeez | Biocliq Technologies | Brain Tumor |
Tiago Azevedo | University of Cambridge | fmri mri clinical |
aniza Aziz | xylexa | genomic data |
Ahmad Aziz | German Center for Neurodegenerative Diseases | genome-wide association study, neurofilament light chain, Alzheimer disease |
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 |
Athira B | TKMCE | Cerebral Blood Flow; Arterial Spin Labeling; Outlier rejection; Alzheimer’s dise |
Jamal Mohamed B | SSN COLLEGE OF ENGINEERING,CHENNAI | Alzheimer |
shwetha B | sjce | Alzheimers, MRI, Wavelets, SVM |
Divya B | Stigmata techno solutions LLP | alzhiemer,ML |
jawahar b | kongu engineering college | dataset |
Venkatesh B | JSS | CNN |
Rudhra B | IIITMK | PARKINSON |
Prathima B N | M S Ramaiah University of Applied Science | Computer aided diagnosis Mild cognitive impairment Alzheimer's disease MRI |
Srivatsen B N | University of Stuttgart | Cluster Analysis |
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 |
stalin babu | AITAM | DEEP LEARNING |
Silviu-Alin Bacanu | Virginia Commonwealth University | blood transcriptomic; GWAS; fine-mapping; WGCNA |
Sagar Bachhav | AbbVie | Amyloid beta, PET |
AmanPreet Badhwar | CRIUGM, University of Montreal | neuroimaging, genetics |
Doa'a Bador | Tishreen University | Alzheimer's disease; MRI |
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 |
Naveen Venu Bagadi | GVPCOE | AI, Deep learning |
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 |
Mehrnaz Bahraim | Tehran University | AI-CNN-Alzheimer’s Disease-classification |
Haotian Bai | Shanghai University | machine learning |
Yang Bai | WHUT | 123456 |
Wenjun Bai | ATR | dynamic effective connectivity |
Xiaoyu Bai | Northwestern Polytechnical University | Deep learning; MCI; AD |
Paul Baiju | AERO | AI |
Abhijith Bailur | SJCE Mysore | MRI |
Paul Baird | Centre for Eye Research Australia, University of Melbourne | AMD, genome wide, interaction |
Divya Baiskhiyar | None | Deep learning machine learning |
Zhang Baiwen | Beijing University of Technology | AD, MCI convert |
Janosch Bajorath | IKW - Institute of Cognitive Science | Cognitive Science, Contrastive predictive coding, deep learning, Classification |
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 |
Suzanne Baker | Lawrence Berkeley National Laboratory | AV45, R1 |
Susan Baker | Janssen R&D | Diagonsis, Progression, Biomarkers |
Ron Baker | University of Kentucky | Alzheimer's AD Dementia CARTS |
Mudathir Bakhit | Fukushima Medical University | DLPFC, tractography, connectome |
Naman Bakhru | IIT Kharagpur | Hidden Markov Model, Bayesian networks |
razieh bakhshandeh | Iran University of medical science | NONE |
mahdi bakhshi | iran | brain |
Akhil Bakhshi | KCL | Schizophrenia |
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 |
Dobri Baldaranov | USC | CMB, WMI, OAK, anti-platelet |
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 |
Seojin Bang | Carnegie Mellon University | longitudinal; multimodal; clustering; machine learning |
Ji-In Bang | CHA Hospital | neuroimaging |
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 |
Shivansh Bansal | JECRC University | Medical Image, MRI, CT Scan |
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 |
Lu Bao | Nanjing Normal university | Functional data analysis,FPCA,Block-wise missing data,Data imputation |
YIWEN BAO | University of Hong Kong | amyloid-PET |
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 |
Robert Barber | University of North Texas Health Science Center | Alzheimer's disease genetics |
Philip Barber | University of Calgary | stroke; TIA; brain atrophy; dementia |
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 |
Berardino Barile | Université Claude Bernard Lyon 1 | Artificial Intelligence |
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 |
Laura Barros | Universidad de los Andes | MRI classification |
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 |
Usman Bashir | St Barts Hosptal | CNN |
FAROUQ SADIK BASHIR | DIT UNIVERSITY | Alzheimer |
Nauman Bashir | COMSATS UNiversity Islamabad | XAI; Deep learning; Automatic diagnostic; Concept |
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 |
Blanca Bastardés Climent | Peltarion AB | Autism Spectrum Disorder, GANs, Neuroimaging, Master Thesis |
José Bastos | Universidade de Aveiro | CNN, DL, Classification |
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 |
Sam Beaton | Self | network |
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 |
Simone Beer | Forschungszentrum Juelich | quantitative PET |
Joanne Beer | University of Pennsylvania Perelman School of Medicine | imaging, multi-scanner |
Mirza Faisal Beg | Simon Fraser University | MR, LDDMM, segmentation, registration, statistical shape analysis |
Rabiya Begam M | PSG College of Technology | Early Detection, Deep learning, Alzheimer's Disease |
kauser begum | The Center for Advanced Genomics | disease-variants diagnostics |
Nazanin Beheshti | University of Houston | CNN, Spatitemporal locality, Classification, |
Rahmat Beheshti | University of Delaware | Multimodal data analysis, Synthetic data generation |
Iman Beheshti | CERVO Research Center, Mental Health University Institute of Quebec | estimation, brain age, MRI |
Qumars Behfar | Cologne University hospital | Connectome |
Hamid Behjat | Lund University | shape analysis, topological similarity, classification, early diagnosis |
Hamidreza Behjoo | Skolkovo Institute of Science and Technology | CNN, Tensor decomposition |
Jordan Behn | Northwestern University | PPA |
Finn Behrendt | TUHH | MRI, Deep-Learning, UAD, self supervised learning |
Tina Behrouzi | University of Toronto | GSP for brain mapping |
mina beigi | university of kerman | better life |
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 |
Simon Bele | University of Ljubljana | data augmentation, machine learning, deep neural networks |
Hafida BELFILALI | Tlemcen university | Alzheimer, early Detection, deep learning |
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 |
Martin Belzunce | Royal National Orthopaedic Hospital | PET, PIB, Image Processing, Partial Volume Correction |
Fu Ben | Zhengzhou Univerisity | Multimodal deep learning;Early diagnosis |
iliass ben | faculté de mohammed premier | ai |
amira ben rabeh | tunis | Alzheimer , CAD |
Sarah Ben Slimene | Tunisia Polytechnic School | Machine learning, Computer Vision, Alzheimer's Medical Imaging |
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 |
Erin Bennett | The George Washington University Milken Institute School of Public Health | generalizability, epidemiology |
Neal Bennett | Gladstone Institutes | metabolism |
Lauren Bennett | Hoag Memorial Presbyterian | Alzheimer's disease, diabetes, verbal memory |
Anne Benoit | UCB Pharma | biological variability |
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 |
Randall Benson | Center for Neurological Studies | NFL, concussion, mTBI, dementia, AD |
Mariana Bento | university of calgary | machine learning, image features, dementia |
Meryem Benyoussef | Sorbonne University | Deep learning, convolutional neural network,Alzheimer, mild cognitive impairment |
El Mehdi Benyoussef | Hassan 2nd University of Casablanca | Machine Learning, Image Processing, Alzheimer's Disease |
Seo Beomjin | Kyunghee University | DCSRN , MRI BRAIN image , super image resolution |
Nicole Berbery | Lebanese International University | MRI images/ Brain Age Prediction/ artificial intelligence |
Cosmin Bercea | Helmholtz AI | Anomaly Detection, Federated Learning |
Maurizio Bergamino | Laureate Psychiatric Clinic & Hospital | DTI; GQI; structural connectivity; prediction model |
Swetlana Berger | UCB Biologicals | biological variability |
Derek Berger | St. Francis Xavier University | brain-extraction, skull-stripping, CNN, U-Net |
Miles Berger | Duke University Medical Center | proteomics, CSF, Alzheimer's disease, MCI, cognition |
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 |
Haley Bernhardt | Washington University School of Medicine | ADNI |
Rachel Bernier | UC San Diego | sex differences; Alzheimer's disease; tau |
Rachel Bernier | UC San Diego | sex differences; Alzheimer's disease; tau |
Adam Bernstein | University of Arizona | Thalamus, Deep Learning |
Olivia Bernstein | University of California, Irvine | prediction, biased sample, clinical trials |
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 |
Sydney Bertram | Clemson University | tbi, traumatic brain injury |
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 |
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 |
Lakshita Bhargava | Maharaja Agrasen Institute of Technology | Deep Learning; Alzheimers; Progression;Prediction |
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 |
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 |
SATARUPA BHATTACHARJEE | UC DAVIS | Analyze, Statistics |
Atanu Bhattacharjee | Tata Memorial Centre | Joint longitudinal modeling, time to event data, biomarker |
SOURAV BHATTACHARJEE | Ramakrishna Mission Vivekananda Educational and Research Institute | Machine Learning project on Alzheimer prediction. |
Debanjali Bhattacharya | International Institute of Information Technology Bangalore | Texture, shape, volume |
Sudeepa Bhattacharyya | Arkansas State University | metabolomics, neuroimaging |
ARINJITA BHATTACHARYYA | University of Louisville | shrinkage, logistic regression, variable selection, prediction |
Uttam Bhetuwal | Brown University | Deep learning,brain imaging |
Pradnesh Bhike | AISSMS College of Engineering Pune | Study, CNN |
SAJAN BHOSALE | SANJAY GHODAWAT UNIVERSITY | Alzheimer's Dataset |
Rimmon Bhosale | IIT Palakkad | CNN, deep learning, medical images |
Amanjot Bhullar | University of Guelph | artificial neural netowrk |
Qiuhui Bi | Beijing Normal University | DTI,metabolism,aging |
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 |
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 |
Saba Bibi | international Islamic university Islamabad | alzheimer |
Ayesha Bibi | University of Gujrat | Alzheimer's disease |
Wajiha Bibi | Aston University | biomarkers, Alzheimer's, CSF, levels, longitudinal studies, baseline measurement |
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 |
Jordan Bilderbeek | University of Chicago | MRI, neuroimaging |
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 | alzheimer's disease |
Ni Bingjie | Huazhong University of Science and Technology | Deep Learning、Neurofunctional assessment |
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 |
Joseph Bishop | Anthem Inc | Classification Machine Learning |
Anna Bishop | Boston University | deep machine learning, MatLab, AlexNet, neural network |
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 |
Xiaolin Bo | University of Science and Technology of China | Statistical longitudinal data analysis |
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 Boktor | California Institute of Technology | microbes, WGS |
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; |
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 |
Shirsha Bose | Jadavpur University | Found |
Anirban Bose | Chennai Mathematical Institute | Topological Data Analysis |
Aditya Bose | Manipal University Jaipur | GAN(Generative Adversarial Networks), Dataset enhancement, synthetic growth data |
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 | emotion; attention; amygdala |
Jessica Bourgin | Université Savoie Mont Blanc | Amygdala; Attentional network |
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 |
Sebastien Boyer | Basel University | Disease progression, ADAS-cog |
Christina Boyle | USC/IGC | AD MCI Conversion MRI |
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 |
Marcus Branch | Federal University of Santa Catarina | scientific research, dataset |
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 |
Katharina Buck | Roche Diagnostics | Elecsys CSF Measurements |
Hudson Buck | Santa Casa de Sao Paulo School of Medical Sciences | Alzheimer, diabetes, hypertension, chronic diseases |
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 |
DANH bui | hufi | DNN |
Duc Toan Bui | Sungkyunkwan University | GAN |
Minh Bui | Thuy Loi University | Minh Bui |
Bao Bui Ngoc | Jeonbuk National University | Computer Vision, pattern recognition, segmentation |
Luna Buitrago | SUNY Downstate Medical Center | Sphingosine-1-phosphate |
aleksey bukhalov | ITMO | cnn |
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 |
Kaileigh Bunting | Cognitive Neuroscience of Schizophrenia Lab | fMRI, MRI, CPCA, BOLD, |
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 |
Kory Burns | Sandia National Laboratory | Machine Learning, Deep Learning, analytics, reproducibility |
Mina Burns | London School of Economics | Survival analysis, machine learning |
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 |
Giulia Buzi | Università degli Studi di Torino | Alzheimer's Disease; Biomarker; Memory: APOE-e4 |
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 |
Jihyun Byun | University of Johannesburg | Alzheimer's Disease, computer-aided diagnosis, deep learning |
Jiyoung Byun | KAIST | Alzheimer's disease |
Michał Błotko | Silesian University of Technology | MRI, Alzheimer, Data Science |
Sreelakshmi C | htic | Deep learning |
C C | c | c |
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 |
Joana Cabral | University of Minho | fMRI |
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 |
Refsi Cahya | Brawijaya | brawijaya |
Samuel Cahyawijaya | HKUST | deep neural network, alzheimer disease, sequence modeling |
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 |
Chunting Cai | Xiamen Univeersity | cct724724 |
Fanco Cai | CQ | 1 |
Hongjie Cai | Shanghai Jiaotong University | AD/MCI diagnosis, deep learning |
Shangyu Cai | Szu University | AD FMRI |
Hailin Cai | Chongqing University | AD, |
erik cai | wenzhou university | multimodal neuroimaging |
yuan cai | Chinese university of HongKong | plasma biomaker ,AD pathology |
Ning Caichen | IT | 01234567890 |
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 |
Rui Camacho | Faculdade de Engenharia da Universidade do Porto | Multi-Relational Data Mining |
Eduardo Camacho | UPV | Artificial Intelligence, lesion segmentation |
Aldo Camargo | University of Maryland of Baltimoree | Longitudinal study,ASL, PET-FDG, |
Borja Camino | Health Research Institute Biocruces-Bizkaia | voxel-based morphometry, connectograms, resting functional connectivity, teach |
Alex Campbell | University of Cambridge | deep learning, machine learning, fmri, diagnosis, unsupervised |
Avalon Campbell-Cousins | The University of Edinburgh | Brain networks, brain activity, fMRI, DTI |
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 |
Christelle Cantet | Gerontopole CHU Toulouse | omega-3, cognitive function |
Jiahang Cao | Beihang University | 区块链 |
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 |
Bing Cao | university of north carolina at chapel hill | medical image synthesis |
weifang cao | shandong first medical university | aging neuroimaging |
Jiahang Cao | Beihang University | deep learning model |
hongjun cao | YanShan University | 数据 |
yingli cao | Jiangnan University | study |
Jiguo Cao | Simon Fraser University | brain network, QTL mapping |
Xuan Cao | University of Cincinnati | sMRI, fMRI, radiomics, generalized linear models |
Guanqun Cao | Auburn University | functional data, ADNI |
Lingcan Cao | Xi'an Jiaotong University | brain network dynamics, default mode network |
Yan Cao | University of Texas at Dallas | image analysis |
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 |
Heitor Cardoso | Institute for Systems and Robotics | machine learning, psychology |
filippo carducci | university of rome | PET AD |
Don Cariddi | SUNY Oswego | Alzheimer's Disease Early Detection |
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 |
Caio Carneloz | UNESP | Semi-Supervised Learning, Deep Learning, CNN's |
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 |
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 |
Cristhian Carrillo | Universidad Autonoma de Occidente | Neural network, CNN, Alzheimer |
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 |
Sofia Carvalho | Universidade do Minho | neuroimaging, mri, alzheimer, prediction |
Alexandra Carvalho | Instituto Superior Tecnico | Time series analysis |
Vítor Carvalho | IF SUDESTE MG | MRI Image, Machine-learning, Alzheimer's Disease |
Greg Cary | Jackson Laboratory | genetic association, drug targets |
Jose Joaquin Casado Garrido | Georgia Institute of Technology | MRI imaging; Alzheimer's Disease |
Adrià Casamitjana | UCL | MRI, preclinical, machine learning |
Adrià Casamitjana | Universitat Politència de Catalunya | PhD, machine learning, bioengineering, early stage of AD |
Ramon Casanova | Wake Forest University School of Medicine | Machine Learning, Regularization |
David Cash | University College London | familial Alzheimer's disease, volumetric MRI, cerebral atrophy |
Julian Caspers | University Hospital Düsseldorf | predictive modeling, machine-learning, domain-adaptation |
Nikol Orlando Castellanos Diaz | Universidad Autónoma Metropolitana | Biomarkers, alzheimer's disease |
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 |
Justin Cawood | Charles Sturt University | Alzheimer's, Likelihood-ratio, MRR |
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 |
Yunus Emre Celik | University of Paris | final project |
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 |
Yoonjeong Cha | Immuneering | target identification, pathology, survival analysis, pathway analysis |
Hyunsil Cha | Kyunpook National University | MR image processing |
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 |
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 |
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 |
Katie Chan | City University of Hong Kong | Molecular epidemiology and bioinformatics |
Yi Hao Chan | Nanyang Technological University | Multimodal Brain Imaging, Representation Learning, Autoencoders, Multilayer nets |
Kannie WY Chan | City University of Hong Kong; The Johns Hopkins University School of Medicine | MRI, AD, deep learning |
Christina Chan | Michigan State Univ. | NCI-DREAM 8.5 |
Eldon Chan | University of California, Berkeley | Deep Learning, Alzheimer's Recognition and Prediction |
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 |
Hui-Ming Chang | Chung Shan Medical University | VBM/AD |
Ze Chang | huazhong university of science and technology | diagnosis |
Jeryn CHang | The University of Queensland | Hypothalamus; BMI; DWI |
Minyu Chang | Cornell University | Fuzzy-trace theory; factor analysis |
Ya-Hsuan Chang | University of Kentucky | Data analysis |
ali chang | Advantech | alzheimer |
Timothy Chang | University of California, Los Angeles | Rare variant analyses, genetics, whole genome sequencing |
QU chang | Hebei University of Technology | Dysfunction and stemness of tumor-infiltrating T cells are triggered by a common |
HanI Chang | Ajou | AD |
Kai CHi Chang | National Yunlin University of Science and Technology | reserch CNN |
Changgee Chang | University of Pennsylvania | integrative analysis, multi-task learning |
RUI CHANG | University of Arizona | Alzheimer's, Sex difference |
Jose Chang Irias | Halmstad University | Convolutional nueral networks, Lewy body dementia, dementia detection |
Monir Changizi | Shahidbeheshti university | sleep,insomnian,alzheimer's disease,dementia |
yu changyuan | 上海事事大学 | fMRI |
RYU CHANJU | BUNDANG CHA HOSPITAL | Deep learning |
suo chao | xiangtan university | Due to low intensity contrast around ROI boundary and large inter-subjectvarian |
Li Chao | Beijing Jiaotong University | Incompletion Multi-model Data learning,Missing Data Completion |
wang chao | fujianyikedaxue | study; Alzheimer's disease;clinical manifestations |
bu chao | DONGHUA UNIVERSITY | AD |
Li Chao | Institute of Automation, Chinese Academy of Sciences | early stage, classification, MCI, AD |
wang chao | North University of China | Wl940414.+0 |
wang chao | Fujian Medical University | brain regions; Alzheimer's disease |
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 |
Snehashis Chatterjee | university of calcutta | DEEP LEARNING |
PUBALI CHATTERJEE | UNIVERSITY OF CALCUTTA | Image Segmentation |
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 |
Mohit Chauhan | IIT Indore | survey, literature |
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 |
Tongtong Che | Shandong Normal University | group-wise registration |
Yanqiu Che | Penn State College of Medicine | MRI; Alzheimer's Disease; Machine Learning |
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 |
Yuanyuan Chen | Northwestern Polytechnical University | Alzheimer’s disease; Mild cognitive impairment;Deep learning |
junchao chen | Beijing University of Astronautics | cjc20011224 |
Yuzhong Chen | UESTC | CNN AD |
wu chen | Huazhong University of Science and Technology | image processing |
Keyu Chen | Liaoning Normal University | Resting state; dynamic; fMRI; Classification |
Yu Chen | Central South University | Do some researches about the AD |
Li chen | national university of defense and technology | 8722471 |
fangyi chen | Hebei University of technology | classification tasks |
huachang chen | Vanderbilt University Medical Center | imputation; methodology; evaluation; bioinformatics |
Shuang-Qing Chen | the Affiliated Suzhou Hospital of Nanjing Medical University | Mild cognitive impairment;Magnetic resonance imaging;Radiomics;Deep learning |
changhao chen | National Central University | CNN SVM LR |
Ling Chen | Zhejianglab | Graph convolutional network |
jiaao chen | Queen's University | research |
Xi Chen | University of Rochester Medical Center | APOE |
Chang Chen | Nanjing Drum Tower Hospital, Medical School of Nanjing University | neurologist |
Huan Chen | Johns Hopkins Bloomberg School of Public Health | FDR control, variable selection |
Lele Chen | Nanjing University | fmir, lifestyle, AD, Comorbidity, brain network |
Jinxin Chen | Chengdu University of TCM | alzheimer,sleep disorders,fMRI |
Lin Chen | Johns Hopkins University | MRI, PET |
Yanghaoyu Chen | UF | Machine learning |
Ke CHEN | University of Nottingham | machine learning, early diagnose |
yulong chen | zhengzhou university | MRI hippo subfeild segmentation |
Haifeng Chen | Affiliated Drum Tower Hospital, Nanjing University Medical School | memorry function; rTMS; multimodal neuroimaging |
Xiao Chen | Beijing Normal University | Alzheimer’s disease,defalut mode network |
GUILIAN CHEN | SHENZHEN UNIVERSITY | unsupervised segmentation |
Gan Chen | University of Louisville | Hidden Markov Model, Disease Progression |
Dongxuan Chen | Southeast University | brain,classifier |
Qiufeng Chen | Fujian Agriculture and Forestry University/China | functional connectivity |
Xinqi Chen | Guangdong University of Technology | computer vision, generative adversarial networks, synthesis of medical images |
Baolin Chen | Shanghai Uiversity of Finance and Economics | functional data analysis, samples of density functions |
kunxu chen | Sun Yat-sen university | study |
Li Chen | Indiana University School of Medicine | GWAS, functional analysis, meta-analysis |
Fangzheng Chen | Shanghai Jiaotong University School of Medicine Ruijin Hospital | cognition AD |
HongGuai Chen | NCU | BDBC-2020 |
sijie chen | Yitu healthcare technology | AD, classification, CNN |
Li Chen | University of Washington | Image processing |
Hanyi Chen | University College London | subtype, disease progression, SuStaIn, AD |
William Chen | MagQu LLC | Longitudinal study, differentiate diagnosis, neurodegenerative diseases |
Yu-An Chen | National Yang-Ming University | Alzheimer’s disease, Subjective cognitive decline, Multimodal data, Risk classif |
Mingzhu Chen | Fudan University, Shanghai, China | computer-aided medical image analysis |
Rong Chen | University of Maryland School of Medicine | machine learning |
Chang-Le Chen | National Taiwan University College of Medicine | Diffusion MRI, White matter, Fiber cross-section |
Siying Chen | BUAA university | study |
Mingzhu Chen | Fudan University, Shanghai, China | computer-aided medical image analysis, algorithm |
liangming chen | Lanzhou University | neural network, deep learning, Alzheimer |
Liang Chen | University of Macau | miRNA, biomarker |
Tianhua Chen | University of Huddersfield | fuzzy systems, convolutional neural network, clinical decision support |
Xu Chen | University of North Carolina | MRI segmentation |
Jinyang Chen | University of Georgia | Deep Learning, Machine Learning, Disease Diagnosis, Classification |
Xin Chen | Shanghai East hospital, Tongji University, School of Medicine | Neurodegeneration, Alzheimer,cognitive impairment |
Xiao Chen | Amy Medical University, Daping Hospital | Amyloid PET, Alzheimer’s dementia, Amyloid staging |
Shanshan Chen | the Affiliated Brain Hospital of Nanjing Medical University, Nanjing | Alzheimer's disease;Mild cognitive impairment;Subjective cognitive decline |
EDDIE CHEN | Stony Brook | machine learning, AI, MCI, AD |
Gang Chen | Medical College of Wisconsin | fMRI, MRI |
Dong Chen | Southeast University | cdx314159 |
minghao chen | East China Normal University | Causal Mediation analysis, MRI data,Alzheimer disease |
Ming-Hui Chen | University of Connecticut | Uncertain endpoints; Measurement error; Validation subsample; Survival analysis |
Jason Chen | Bioclinica | Testing algorithms |
Jiu Chen | Nanjing Medical University | AD, aMCI, DTI, sMRI, fMRI |
Kefan Chen | university of sydney | Alzheimer's patients |
Jun Chen | University of Michgan | data fusion |
bowen chen | Tongji University | course project, deep learning, Alzheimer's disease |
hongyu chen | shanghai Nyuen | fMIR, GCN |
Ting-Huei Chen | Laval University | structural equation modeling |
Lin Chen | Johns Hopkins University | MRI, PET |
Yujie Chen | Wuhan University of Science and Technology | Alzheimer's disease, Early diagnosis, Conversion prediction |
Xin Chen | University of Nottingham | Longitudinal image feature extraction; disease diagnosis. |
Bingxu Chen | UCSD | Image Co-registration |
Keping Chen | Southeast University | AD; circular RNA |
Sherry Chen | The University of Sydney | Frontotemporal dementia, longitudinal, neural correlates, cognition |
Tianyi Chen | University of Sheffield | cj18954310106 |
hu chen | Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, Ch | 3D convolution,saliency maps, |
Lihui Chen | Sichuan University | Academic study |
Danni Chen | UCLA | deep learning, medical imaging, explainable AI, attention model |
Qian Chen | Nanjing Drum Tower Hospital | Subjective memory complaint, Neuroimage, Biomarker |
naijin chen | Anhui Polytechnic University | Medical image analysis |
Sophie Chen | Beijing University of Technology | fMRI classification |
Bocheng Chen | huazhong university of science and technology | graphic analysis, PET |
Battle Chen | FZU | multi-modal |
Xiaocong Chen | The University of New South Wales | Early Detection, Machine Learning |
Junjie Chen | Temple University | computational methods, integrative analysis, casual factors |
qiang chen | Donghua University | segmentation |
Zihao Chen | Shanghai Jiao Tong University | MCI AD predicting model |
wuyang chen | Central South University | multimodal,registration |
Tao Chen | Wuhan University | Alzheimer’s Disease, visual features, MRI |
Gavin Chen | Tianjin University of Technology and Education | czc960229 |
Hao Chen | Shandong University of Finance and Economics | Brain Network Analysis, Alzheimer's disease, Classification |
Yingchuan Chen | Beijing Tiantan Hospital | PD, fMRI, machine learning |
Dingfan Chen | max planck institute for informatics | Anomaly detection, deep generative model |
xiaotong Chen | huashan hospital of fudan university | Alzheimer's disease; biomarker; blood-based |
Yu-Chi Chen | Monash University | cortical morphology, machine learning |
Qianyun Chen | The Chinese University of Hong Kong | deep learning, diffusion MRI, mild cognitive impairment, Alzheimer's disease |
Ziyi Chen | Carnegie Mellon University | Machine Learning coursework project |
Jingyun Chen | NYU School of Medicine | PET, Tau, Abeta, normalization |
Meng Chen | Southeast University | early diagnosis |
durong chen | shanxi medical university | Parkinson |
yaru chen | Jiangsu university | Health analysis |
Gengsheng Chen | Washington University in St. Louis | amyloid, gwas |
Fang Chen | jackson state university | image deep learning Alzheimer's |
Xu Chen | SAS Inc | Machine Learning |
Eric Chen | Indiana University School of Medicine | Tau, Braak regions, PET |
saiyuan chen | 重庆邮电大学 | study |
Zhi Chen | University of Electronic Science and Technology of China | computer vision, neuroimaging recognition, classification |
Yanxi Chen | Arizona State University | GWAS |
Chao Chen | Stony Brook University | Image analysis, deep learning. |
Qingmeng Chen | Tokyo Medical and Dental University | DTI, 3D-T1, Multiple sclerosis |
Jason Chen | University of California, Los Angeles | Network analysis, TBM, personalized medicine |
Irene Chen | MIT | machine learning, subtypes, disease progression |
Ziliu Chen | Guangzhou University of Chinese Medicine | Aizheimer |
Shuo Chen | National Innovation Institute of Defense Technology | deep learing, super resolution, medical imaging |
Xiaozheng Chen | Xiamen University | neuroimaging, dynamic functional connectivity, deep learning, |
Yihe Chen | Second Affiliated Hospital,Zhejiang University School of Medicine | perivascular space |
JIANGWANG CHEN | SUNY BUFFALO | MRI |
Xiang Chen | University of Leeds | Image Registration, Deep learning |
Guan Wen Chen | NTHU | Alzheimer |
Kevin Chen | Stanford University | multimodal imaging, image post-processing, spatial resolution |
Huimin Chen | Beijing Tiantan Hospital, Capital medical university | cognitive impariment, perivascular space, Abeta/tTau |
YINGJIA CHEN | Genentech | safety |
Yuhang Chen | University of Science and Technology of China | littlebear888 |
Yiming Chen | University of Maryland | neural network |
Bingzhen Chen | University of Florida | statistical modeling |
Chen Zi Yang Chen Zi Yang | Guangdong University of Technology | ADNI ; GAN; image segmentation |
YYUAN CHENG | JILIN UNIVERCITY | DATASET |
Iris Cheng | Brown University | Alzheimer's, sex, apoe, cognition |
Weili Cheng | North China University of Water Resources and Electric Power | Time-dependent ROC curves with missing biomarkers |
XL Cheng | XMU | Image synthesis , Experiments , CGAN |
Ruida Cheng | NIH | brain segmentation and classification |
Wai Ho CHENG | The Hong Kong Polytechnic University | AD and mild cognitive impairment |
WEI CHENG | Southern University of science and technology | machine learning |
Xiaoqin Cheng | Zhongshan hospital | machine learning |
Jiaqi Cheng | University of Canterbury | CNNs model interpretability |
Greta Cheng | NA | ADNI dataset, classfication, 3D CNN |
Chenganen Chenganen | GuangDongBaiYun University | ADNI; FCN; GAN; predict |
Tanya Chenhall | Cogstate | Cogstate |
ChenJuan ChenJuan | 中南民族大学 | registration |
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 |
Md. Main Oddin Chisty | Khulna University of Engineering and Technology, Khulna, Bangladesh | fMRI, Alzheimer, Lenet-5,vgg16, CNN, alexnet, |
YOGITA CHITRIV | Yeshwantrao Chavan College of Engineering, Nagpur | Brain Image, Alzheimer, Segmenation, Classification |
Sang Yeon Cho | Medical School of Chungnam University | Alzheimer’s disease, microglial phagocytosis |
Hyuna Cho | POSTECH | brain connectivity |
HyungJin Cho | University of Southern California | Alzheimer's Disease Neuroimaging Initiative (ADNI) |
Dong Ho Cho | Korea Advanced Institute of Science and Technology (KAIST) | Machine Learning, Biomarker, Classification, Diagnostic |
sang soo cho | Seoul National University | BrainAge, machine learning, OCD, Shizophrenia |
Sang Kyu Cho | University of Houston - Houston, TX | prognostic factors |
Youngjoo Cho | The University of Texas at El Paso | Survival analysis, Prediction models |
Hyun Jae Cho | University of Virginia | knowlege extraction, machine learning, Alzheimer's disease |
hyugrae cho | samsung electronics | AI, machine learning |
Patricia Chocano-Bedoya | Bern Institute of Primary Care | metabolomics biomarkers dairy cognition |
Sandra Chocron | UT Health San Antonio | ceramide catabolism |
Young Min Choe | Dongtan Sacred Heart Hospital | Alzheimer’s disease, mild cognitive impairment, PIB-PET, depression |
Mark Choe | NCIRE | Imaging, Processing |
LEE CHOEL HUI | Korea University | Alzheimer's disease |
duck ho choi | Sung Kyun Kwan Univ. | Alzheimer |
Yoon Seong Choi | Severance Hospital, Yonsei University College of Medicine | Alzheimer's disease; Deep learning; Random Survival Forest; MRI; FDG-PET |
Eun Young Choi | Stanford University | thalamus, rsfMRI |
James Choi | Sabio Research | Alzheimer Machine Learning Neural Networks |
Junghwan Choi | . | . |
Kyu Sung Choi | Korea Advanced Institute of Science and Technology (KAIST) | follow-up |
Seo-Eun Choi | University of Washington | Cognitive reserve, using ADNI data as a teaching example, Psychometrics Workshop |
Woo Hee Choi | College of Medicine, The Catholic University of Korea | striatum, amyloid PET, tau PET |
Sunghoon Choi | Korea Research Institute of Standards and Science | Generative adversarial network, synthetic PET |
Bo Kyu Choi | Yonsei university | prediction model |
Yong-Ho Choi | hanyang university | Imaging genetics |
Hongyoon Choi | Cheonansi Public Health Center | Metabolic network, FDG, Amyloid |
byung hyug choi | KAIST / korea | machine learning, network embeddings, Alzheimer feature extraction |
hyujin choi | korea university | hyunjin |
Tae-Min Choi | KAIST | Deep learning, classification, early diagnosis |
Yu Yong Choi | Chosun University Hospital | ethnic differences, normal aging |
Junsik CHOI | Korea Univ. | Deep learning |
Uksu Choi | Chosun University | Cortical thickness, VBM |
Anthipa Chokesuwattanaskul | King Chulalongkorn Memorial Hospital | Alzheimer's disease, mild cognitive impairment |
chee keong chong | University Teknologi Petronas | CNN, deep learning, classification, |
Shin Wee Chong | Carl-von-Ossietzky Universität Oldenburg | Advance longitudinal modeling, structural equation, bidirectional relationship |
Song Chongchong | BUAA | medical images processing |
Jill Chotiyanonta | AnatomyWorks, LLC | Brain MRI, Neuroanatomy, Segmentation |
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. |
Yu Wen Chou | National Chin-Yi University of Technology | Deep learning |
SOURABH CHOUBEY | Indraprastha Institute of Information Technology Delhi | Detection, Machine Learning, Diagnosis |
Amit Choudhari | Tata Memorial Hospital | dti |
Aadarsh Choudhary | Bengal College of Engineering and Technology, Durgapur | Alzheimer's Disease |
Vincent Chouraki | Institut Pasteur de Lille | GWAS, amyloid-beta, alzheimer disease, endophenotype, biomarker |
Ioanna Chouvarda | VTT | network analysis, causality |
Kwan-Yin Chow | National Taiwan Normal University | Dataset , Skull stripping |
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 |
Winston Chu | University of Florida | diffusion MRI, AD, free water, basal forebrain |
Wang Chu | Nanjing University of Science & Technology | imaging data |
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. |
Ina Chun | n/a | CNN, visualization, deep learning |
Timothy Chun | Veteran's Affairs | Machine 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 |
Jaeyoon Chung | Boston University School of Medicine | GWAS CSVD stroke ICH |
Ming-Hua Chung | Radiologics | resting state fMRI DICOM |
Hyun Jy Chung | Stony Brook University | FWER |
Yunro Chung | Arizona State University | Biostatistics; biomarker |
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 |
Iacopo Ciampa | Johannes Kepler Universität Linz | AI, Alzheimer, Federated Learning, Deep Learning |
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 |
Tayla Clasper | University of Auckland | Alzheimer's disease, lifestyle, ageing, mild cognitive impairment |
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 |
Isabelle Cohen | The Potomac School | AD, immune system, CSF |
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 |
Brian Collica | University Of California, Berkeley | Capstone |
David Collier | Eli Lilly and Company Ltd | Alzheimer's disease, lipids, metabolomics, receptors, transporters, biomarker, s |
Fraser Collins | Logicearth Services | Alzheimer's Imaging |
Robert Comley | Abbvie inc | PET, MRI |
Lin Cong | University of California, Riverside | Modal regression |
Lin Cong | University of California, Riverside | Modal regression |
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 |
Nicholas Constant | University of Rhode Island | digital cognitive biomarkers |
Maria Constantinou | University of Cyprus | MRI, resting state fMRI, deep learning |
Cat Conti | NCIRE | admin core |
Joey Contreras | USC Keck School of Medicine | Inflammation, conversion, APOEcarrier |
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 |
Josh Cosman | Abbvie Inc. | Cognition, Modeling, Longitudinal Change |
Bruno Costa | USP | CNN |
Ana Sofia Costa | University Hospital RWTH Aachen | amyloid deposition, microangiopathy, microbleeds, phenotype, progression |
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 |
Maria Crespo | arraste | processing and MRI |
Carlos Crespo | Methinks Software | Deep learning |
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 |
Heloiza Cruz | PUC MINAS | alzheimer's |
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 |
Josephine Cruzat | Universitat Pompeu Fabra | Alzheimer; timescale; whole-brain modeling |
Math Cuajungco | California State University Fullerton | Neuroscience |
Dong cui | 1978 | cd_ggh100200 |
Licong Cui | The University of Texas Health Science Center at Houston | Informatics tool, ontology, hypothesis generation |
xiaonan cui | hangzhou dianzi university | one class classification |
Wenxuan Cui | University of Nottingham | MCI, MRI, Machine Learning |
kunpeng cui | ZhengzhouUnivercity | medical image registration |
JIANAN CUI | Massachusetts General Hospital | medical image processing |
Jing Cui | GSK | endophenotype GWAS, subtype AD |
Jing Cui | Centre hospitalier universitaire vaudois | The Human Brain Project |
Kamryn Cullen | George Mason University | Biomarkers, Data Analytics, Health Factors |
Nicholas Cullen | Lund University | plasma |
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 |
Scott Curtis | Newcastle University | Machine Learning, Deep Learning, Undergraduate, Dissertation, Research |
David Curtis | UCL | sequence variant DNA |
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 |
VIJAYANAND D | NANYANG TECHNOLOGICAL UNIVERSITY | TDA |
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 |
Anuschka da Silva Spinola | University of Coimbra | machine learning, prediction models, biomarkers, Alzheimer's disease |
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 |
Mathieu DAGREOU | ENS Paris-Saclay | Disease progression score, Biomarkers, Alzheimer's disease, statistical model |
yousra dahdouh | fst | image medical,biomarquer |
Robert Dahnke | University Aarhus | gyrification |
Peng Dai | Ryerson University | deep learning, LSTM, explainable AI |
Zhengjia Dai | Sun Yat-sen University | Alzheimer's disease; functional connectivity; structural connectivity |
Xi Dai | Renmin University of China | 111 |
Yichao Dai | Shanghai Maritime University | FMRI deep learning network |
Xiangwei Dai | Beijing Normal University | amyloid deposition, grey matter |
Zongyu Dai | University of Pennsylvania | Missing data imputation |
Zhengjia Dai | Sun Yat-sen University | Alzheimer's disease; functional connectivity; model |
yulin dai | University of Texas health science center at Houston | GWAS, CSF tau concentration, AD |
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 |
jiajun dang | qiqihaerdaxue | 数据 |
Christa Dang | University of Melbourne | cognition, MRI, APOE, longitudinal, biomarkers |
huy dang | Penn State University | functional data, spiky data, function estimation |
Anton Danker | Royal Institute of Technology | Alzheimers Dementia Vascular Dementia Transfer Learning |
Dominic Danks | University of Birmingham | Dimensionality Reduction; Pseudotime; Biomarker modelling; Disease progression |
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 |
Zhang Daoan | Southern University of Science and Technology | GNN, CNN |
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 |
Erfan Darzidehkalani | UMCG | Medical , deep learning, GANs |
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 |
Ayantika Das | HTIC,IITM | Classification of brain MRI |
Priya Das | Kalinga Institute of Industrial Technology | biomarker, machine learning, MRI, AD |
Debarpan Das | University of Alberta | Registration |
Dulumani Das | Gauhati University | Image Processing . segmentation. MRI. |
eashita das | Dr. Eashita Das | data mining, analysis |
Sandhitsu Das | University of Pennsylvania | hippocampus MCI |
Srihitha Dasari | iResearch Institute | Alzheimer's disease, gray matter, white matter, hippocampal volumetry, MRI |
Aishee Dasgupta | Chennai mathematical Institute | TDA |
Suryansu Dash | College of Engineering and Technology, Bhubaneswar | Dementia Classification, Deep Learning, detection of onset |
Ashkan Dashtban | University College London | Brain Imaging, Cognitive Impairment |
Rohan Datta | Army Institute of Technology | deep learning, fMRI, CNN |
Adam Datta | SWPS University of Social Sciences and Humanities | convolutional neural network, image identification, MRI, Alzheimer’s Disease |
Prasun Datta | Bangladesh University of Engineering & Technology | Brain MRI Scan |
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 |
PEDRO MANUEL RODRIGUES DE MOURA | UFG | Data Science |
Fernando de Natali Frascá | Universidade Federal de São Carlos - UFSCar | segmentation, medical images |
MAURIZIO DE PITTA | BASQUE CENTER FOR APPLIED MATHEMATICS | biomarkers, neuron-glial, astrocytes, inflammation, ROS, transcription factors |
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 |
Tanmay Debnath | PDPM IIITDMJ | bioinformatics, artificial intelligence |
Charles DeCarli | University of California at Davis | MRI, cerebrovascular disease |
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 |
Hamed Dehghani | Neuroimaging and Analysis Group (NIAG) | machin learning, agnig, cognitive impairement |
Farzaneh Dehghani | University of Esfahan | Alzheimer's disease, deep learning |
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 |
Jinxian Deng | MSU | AI, model |
ZhengZheng Deng | Shanghai Brain Science and Brain-Inspired Intellegence | data-mining, big data, Alzheimer's disease |
Simin Deng | Southern Medical University | SMC NC |
Xinling Deng | Tongji University | Deep learning, the diagnosis of Alzheimer's disease |
Tian Deng | Sun yat sen university | artificial intelligence,Medical image processing |
mujiang deng | Beijing University of Aeronautics And Astronautics | deep learning model |
Simin Deng | Tungwah Hospital of Sun Yat-Sen University | Subjective cognitive decline |
lingling deng | CSU | AD |
Ianien deng | Beijing University of Aeronautics And Astronautics | dmj66622 |
Shiling Deng | Chongqing University of Posts and Telecommunications | undergraduate thesis, academic usage |
Zhenhong Deng | Sun Yat-Sen memorial hospital, Sun Yat-Sen University | Dementia; mild cognitive impairment; single nucleotide polymorphism; prognosis; |
Simin Deng | Southern Medical University | SMC NC |
Yatsen Deng | Harbin Institute of Technology | AD hippocampus morphological changes |
Yutong Deng | ShenZhen University | ASL;MRI |
ANNAN DENG | East China Normal University | Classification; elastic net; functional logistic regression; Haar wavelets; PCA; |
Yu Deng | Kings College London | Medical Image Analysis; Domain Adaptation; Deep Learning |
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 |
Mustafa Dere | UNCG | deep learning |
Natan Derek | Southern Taiwan University of Science and Technology | FMRI, DEEP LEARNING |
amine derra | hassiba ben bouli | AI |
pranav desai | scet | machine learning |
Shekha Desai | Vishwakarma Government engineering college | Early detection of AD, ML approach for AD diagnosis |
juhi desai | In-Med Prognostics | volumetric |
Hemal Desai | St. Xaviers | Alzheimer |
Amit Desai | Mayo Clinic | Dementia, atrophy, cinematic rendering |
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 |
Meng Detao | Beijing Rehabilitation Medical College, Capital Medical University, Beijing, Chi | Parkinson's disease; activity of daily living |
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 |
Priya Dharshini | P. A. C. E. T | Adni database |
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 |
Radman Dhrubo | Bangladesh University of Professionals | Machine Learning, SVM, KNN, NN. |
Hao Di | XJTU | Result repeat |
Xin Di | University of medicine and dentistry of new jersey | connectivity, pet |
Francesco Di Lorenzo | University of Sussex | AD, functional conncectivity, ApoE, computational model, disease progression |
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 |
Jose David Diaz Roman | Universidad Autonoma de Ciudad Juarez | Deep learning, transfer learning, Alzheimer classification, |
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 |
jie Ding | Nanjing Tech University | ADNI data |
Chen Ding | Shenzhen Institutes of Advanced Technology Chinese Academy of Science | brain image |
yuhang Ding | baidu | download and study |
Xuemei Ding | Ulster University | Dementia, Alzheimer's disease, diagnosis, prognosis, risk prediction |
Changchang Ding | Shanghai University | PET;FMRI |
Ke Ding | 东华大学 | Biospecimens、MRI、PET、Genetic |
Shaodong Ding | Beihang University | domain adaptation |
Yanyi Ding | Carnegie Mellon University | Machine Learning |
Jiayuan Ding | VMware, Inc | Machine Learnrinig |
Ke Ding | 东华大学 | ADNI、MRI |
Yuan Ding | New York University | For Course Project |
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 |
Sudhanshu Dixit | Jaypee Institute Of Information And Technology | Use ADNI dataset for College Project |
anoop dixit | Collective Cure | Dementia, Alzheimer, biomarkers, Tau, Amyloid beta, beta secretase, gamma sec |
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 |
YIWEN DONG | UCSF | building database |
Qunxi Dong | Arizona State University | Alzheimer's Disease, Hippocampus, Ventricle, Surface-based morphometry |
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 |
wang dong | Shandong Normal University | radiomics |
Jian Dong | Harvard Medical School | PET, molecular imaging, amyloid, tau, machine learning, neural network. |
Zihe Dong | IMPERIAL COLLEGE LONDON | dzh880125 |
Huiwen Dong | Beijing Jiaotong University | precision medicine, fmri, smri, GNN, deeplearning |
Wei Dong | China National Clinical Research Center for Neurological Diseases | AD, genetics, autophagy, biomarkers, clinical characteristics |
Zihe Dong | Beijing University Of Aeronautics And Astronautics | dzh880125 |
Fan Dong | Indoc Research | data platform, imaging processing, neuroinformatics |
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 |
Mariya Donskova | Moscow Institute of Physics and Technology and Skolkovo institute of science and | Disease Knowledge Transfer, Neurodegenerative Diseases |
Sai Narsi Reddy Donthi Reddy | Individual | computer vision, machine leanring |
Sai Narsi Reddy Donthi Reddy | Individual/ Researcher | computer vision, machine leanring, Deep Learning |
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 |
Kaixin Dou | Affiliated hospital of Qingdao University | Alzheimer's disease; GWAS; biomarker |
Kaixin Dou | Affiliated hospital of Qingdao University | AD; risk models; predictors |
Kaixin Dou | Affiliated hospital of Qingdao University | AD; risk models; predictors |
Kaixin Dou | Affiliated hospital of Qingdao University | AD; risk models; predictors |
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 |
Jason Druzgal | University of Virginia | Basal forebrain; cognitive impairment; VBM |
Polina Druzhinina | Skoltech | 3D CNN, classification |
Xiuli Du | Nanjing Normal University | Functional data analysis, Missing data |
Lei Du | Northwestern Polytechnical University | Imaging Genomics, Bioinformatics, Machine Learning, Deep learning |
Qianqian Du | Taiyuan University of Technology | pet image reconstruction |
Averil DU | ShanXi Medical University | Aa123456 |
Shiyi Du | 四川大学 | student research Alzheimer |
Guangwei Du | Penn State Hershey Medical Center | TBM, neurodegenerative disease pattern |
Yuhui Du | The Mind Research Network; Shanxi University | Biomarkers, Classification, Clustering |
YU DU | Faculty of Science and Technology, University of Macau | Alzheimer's disease, deep learning, segmentation |
yongqi du | Huazhong University of Science and Technology | deeplearning classification fMRI |
Jiao Du | Guangzhou univerisity | fusion |
Shiyi Du | Sichuan University | Alzheimer,TADPOLE,student research,anomaly detection |
mingyu du | Beihang University | 912811450 |
Yuhang DU | He Bei University | fmri |
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 |
Shruti Santosh Dudwadkar | The University of Sheffield | Alzheimer's diagnosis, Deep Polynomial Network |
Kevin Duff | University of Utah | biological samples |
Maya Duffy | University of South Carolina | Project, Statistics |
Ben Duffy | USC | QC |
Benoit Dufumier | Université Paris-Saclay | PhD project, Transfer Learning in NeuroImaging, MICCAI 2021 |
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 |
Logan Dumitrescu | Vanderbilt University Medical Center | Alzheimer's, genetics |
Mihai Dumitrescu | University Politehnica of Bucharest | Homework |
Matthieu Dumont | Imeka | DWI DTI HARDI Tracking |
Julien Dumurgier | Lariboisiere Fernand Widal Hospital | APOE, AD, CSF biomarkers |
Julien Dumurgier | Université de Paris | CSF biomarkers ; cut-offs |
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 |
Saranya Duraisamy | Biogen | research & development, data analysis |
Emre Durmaz | TOBB ETU | alzheimer, image processing, brain image, mri , bt |
Oscar Durón | UNAM | school, project |
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 |
ARIDEEP DUTTA | Jabalpur Engineering College | AD-alzheimer's diseases |
Chiranjit Dutta | University of Connecticut | Longitudinal data analysis |
Shamita Dutta gupta | Pace U | Ordinal logit model, general linear model |
Jeff Duyn | NIH | fMRI global signal |
Jeff Duyn | NIH | fMRI global signal |
Madhukar Dwivedi | International Institute of Information Technology, Hyderabad | Alzheimer disease, MCI, |
Shubham Dwivedi | National Institute of Technology Silchar | Alzheimer, Brain, Daignosis |
Alok Dwivedi | Texas Tech University Health Sciences Center El Paso | Amyloid positive, MRI, CSF biomarkers, ABETA42 |
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 |
Esraa Ebrahem | Higher technological institute | AD |
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 |
Natalie Edwards | Massachusetts General Hospital | sex, tau, flortaucipir, positron emission tomography, longitudinal |
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 |
Gillian Einstein | University of Toronto | Surgical menopause; oxidative stress; cognitive decline; neurodegeneration |
Noushin Ejtehadi | Iran University of Science and Technology | DTI |
Putu Ayuwidia Ekaputri | University of Skövde | FDG PET, MRI, atrophy, hypometabolism |
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 |
Omar El Rifai | - | CLINICA |
Retta El Sayed | Emory University | Medical imaging processing |
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 |
Ryan Ellis | NCIRE | arterial spin labeling, ASL |
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 |
HIRONOBU ENDO | Johns Hopkins University | MRI cloud |
Daiki Endo | Tohoku University | Convolutional Neural Network, Computer aided diagnosis |
Jakelini Engel | UNOESC | Alzheimer diagnosis |
Bradley English | Fraunhofer Institute | Early-warning |
Jinseok Eo | Yonsei University | Dynamic Causal Modeling, Effective connectivity |
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 |
Sophia Epstein | Claremont McKenna College | classifier and diagnostic |
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 |
Daniel Antonio EscobarGarcía | Guadalajara University | graph neural networks |
Valentina Escott-Price | Cardiff University | machine learning, prediction, cognitive decline |
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 |
Parya Eskandari | gilan | 2314 |
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 |
Antonio Esteves | Universidade do Minho | Alzheimer disease, deep neural network, deep learning |
Carlos Estrada Marmolejo | Universidad de Guadalajara | CNN, FrFT, Image recognitizion |
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 network; ROC; AUC; Adam; t-SNE; Alzheimers; |
Diana Evangelista | Ardsley High School | deep learning; neural networks; Alzheimer's; ROC; Python |
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 |
Soufiane Ezzaim | Mohammed V University | CNN, supervised 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 |
Fazal Ur Rehman Faisal | Chosun University | Medical Image Processing |
Muhammad Faisal | King Fahd University | Tadpole Challenge Data |
Abrar Faiyaz | University of Rochester | NODDI DLpN |
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 |
Kathy Fan | Stanford | visualization, CNN, interpretability |
Geng Fan | University of Electronic science of technology of China | HDAC2 |
Yong Fan | University of Pennsylvania | Pattern recognition; Machine Learning, Multi-site data |
Ziqi Fan | China | neuroinflammation AD beta amyloid |
Lei Fan | Vanderbilt University Medical Center | Alzheimer's disease; imidazole propionate |
weina fan | Qufu Normal University | research |
Corry Fan | chongqing University of Posts and Telecommunications | AUGgac394 |
CHENCHEN FAN | Institute of Automation,Chinese Academy of Sciences | machine learning |
Chong Yuan Fan | National Chiao Tung University | MRI |
Xiang Fan | The Chinese University of Hong Kong | biomarker |
xuwei fan | Southwest Minzu University | deep learning、mental illnesses、fmri、Pathological analysis |
Yang Fan | Peking University | AD, ASL, CBF |
Jianan Fan | Huazhong University of Science and Technology | neuroimage, computer vision, pattern recognition |
Peihao Fan | University of Pittsburgh | Alzheimer's Disease; Machine learning; Biomarker; |
Yonghui Fan | Arizona State University | ADNI2-GO MRI data |
ZHEN FAN | Imperial College London | Longitudinal amyloid tau |
Wenliang Fan | Union Hospital, Huazhong University of Science and Technology | Alzheimer’s disease; Longitudinal change; Evolving pattern; FC |
Shawn Fan | Rice University | TADPOLE |
zhihao fan | 华南理工大学 | Thanks |
Xiaoguang Fan | Tianjin Medical University General Hospital | structural and functional network, nerual plasticity |
Di Fan | USC | DTI |
Feng Fang | University of Houston | Connectivity, fMRI, dTI, AD |
Frank Fang | Eisai | Machine Learning |
Chen Fang | Florida International University | Classification, Prediction, Alzheimer’s Disease, Mild Cognitive Impairment |
Yi Fang | Zhejiang University | Perivascular space |
Yifan Fang | Zhongnan hospital | white matter lesions; hippocampus; basal forebrain; cholinergic system; AChE |
Yan Fang | Shanghai University of International Business and Economics | 7Yiffany |
方丹丹 Fang | 南通大学附属医院 | - |
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 |
Sinan Faouri | Applied science private university | Deep learning MRI Alzheimer's disease |
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 |
Ashkan Fatemi | mashhad university of medical science | dementia, metabolomics |
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 |
Mobina Fathi | Shahid Beheshti university of medical science | Alzheimer |
Ali Fathi Jouzdani | Hamadan University of Medical Sciences | PET lifestyle APOE-e4 Genes |
Alireza Fathian | Tarbiat Modares University | Machine Learning, Brain Networks, Graph Theory, Functional Connectivity Network, |
Misba Firdose Fathima | Dayananda Sagar Academy Of Technology and Management | Alzheimer’s disease, Convolutional Neural Network (CNN), MRI |
ZAHINA FATHIMA A | MADRAS CHRISTIAN COLLEGE | GRAPH ENERGY, SPECTRAL GRAPH THOERY,ALZHEIMER'S DISEASE |
S.MohammadAmin Fathollahi | Tehran University of Medical Sciences | Alzheimer's disease - Artificial intelligence - Deep learning - genetics - age |
Manaal Fatima | Pakistan Institute of Engineering and Applied Sciences | Alzheimer’s Disease Neuroimaging Initiative (ADNI) |
Morteza Fattahi | Tehran | white noise-based, recurrent neural network, Alzheimer |
Noel Faux | IBM Research - Australia | Biomarkers, prognosis, genomics, cognitive decline |
Eugenio Fava | DZNE | inflammation, AD, MCI |
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 |
Tony Felefly | Saint Joseph University | Radiomics, Machine Learning |
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 |
Yang Feng | New York University | Alzheimer’s disease, multiclass classification, prioritized error controls |
HONGBO FENG | First Affiliated Hospital of Dalian Medical university | aging |
Lin Feng | Shaoyang University | Alzheimer’s Disease,Anatomical MRI,Classification,ROI |
Xinyang Feng | Columbia University | AD imaging biomarker |
gu feng | Chinese Academy of Sciences | gufeng11 |
Lunlun Feng | the First Affiliated Hospital of China Medical University | Multimodal |
Zhichao Feng | The Third Xiangya Hospital of Central South University | fzc2018xyyx |
Xue Feng | University of Virginia | Alzheimer, Deep Learning, MRI, Quantitative Imaging Biomarkers |
hao feng | 东北大学 | fmri |
Qingxiang Feng | Tulane University | deep learning, sparse |
Junbang Feng | CQMU | 821727fjb |
Tingsheng Feng | Beijing University of Aeronautics and Astronautics | 197234tL |
Jinwang Feng | Northwestern Polytechnical University | Alzheimer's disease, Feature extraction, Classification |
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 |
Isabel Fernandez | Universitat Oberta Catalunya | Early diagnosis |
Alberto Fernández | Universidad Complutense de Madrid, Spain | APOE4, Amyloidosis, cognitive performace |
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 |
Pablo Fernández-López | University of Las Palmas de Gran Canaria | ANN, forecasting, prediction |
Italo Alberto Ferrante | University Federico II | neural network; deep learning; artificial intelligence |
Federico Ferrari | Duke University | Cox Model, Interaction Estimation |
Ricardo Ferrari | Federal University of São Carlos | 3D salient point, Deep Learning, Atlas of salient points |
João Pedro Ferrari Souza | Universidade Federal do Rio Grande do Sul (UFRGS) | Alzheimer's disease; neuroimaging biomarkers; fluid biomarkers; cognition; |
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 |
Tim Fish | Changan University | image analysis |
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 |
keyla flores | MBIT SCHOOL BUSINESS DATA INTELLIGENCE | ALZHEIMER |
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 |
Jarrad Foley | University of Leciester | Alzheimers, brain scan |
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 |
Tamar Foreman | Monash University | Alzheimer's Disease, Intrinsic Neural Timescale, fMRI, neurodynamics |
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 |
Leon French | Centre for Addiction and Mental Health | gene expression |
Jennifer French | University of Maryland | GWAS |
Simon Frerich | LMU Munich | genetics of AD |
Simon Frerich | Karolinska Institute | Subtyping |
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 |
Vincent Frouin | CEA | imaging-gentics; vcf genetics |
Jingru Fu | KTH | medical image registration |
Yunguan Fu | University College London | deep learning, registration |
yu fu | lanzhou university | longitudinal brain changes; MCI;AD |
jeffson fu | Chongqing University of Posts and Telecommunications | image |
xiaoyi fu | Institution | analysis |
lingling fu | south-central university | research |
Pan Fu | Taizhou First People’s Hospital | Alzheimer's disease, synaptic degeneration, clusterin |
Zening Fu | Georgia State University | Multi-diseases biomarkers, data-fusion, dynamic brain connectivity |
yanv fu | The Affiliated Second Hospital of Zhejiang University of Medicine | Alzheimer's disease |
Kai Fu | Northwest A&F University | machine learning |
Ray Fu | BIT | data analysis |
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 |
Ernest Fung | Cogstate | Alzheimer's disease, clinical trials, CNS drugs |
Cory Funk | Institute for Systems Biology | metabolism, immune, transcription factor, gene expression |
Cory Funk | Institute for Systems Biology | Alzheimer RNA-seq WGS |
Quentin Funk | Houston Methodist Research Institute | Tau, fMRI, graph theory, DTI |
Ansgar Furst | Stanford University | Alzheimers, TBI, Veterans |
Pedro Furtado | Universidade de Coimbra | medical imaging |
Elies Fuster-Garcia | Oslo University Hospital | Deep learning, data fusion, diagnostic |
Janakasudha G | Sri Venkateswara College of Engineering | Alzheimer's Disease, Brain image analysis, machine learning and deep learning |
MALAVIKA G | kumaraguru college of technology | disease, machine learning, data science |
NAGARJUNA REDDY G | NBKR INSTITUTE OF SCIENCE & TECHNOLOGY, VIDYANAGAR | Alzheimers |
Aishvarya G | PSG College of Technology | AlexNet,CNN |
jayavel G | anna university | alzheimer desease |
Ali G. Tabrizi | University of Tabriz | Algorithm , neuron, modeling ,treatment |
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 |
Felipe Gaitan | Universitat Pompeu Fabra | mri super resolution |
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 |
Charles Galea | Monash Institute of Pharmaceutical Sciences | machine learning, disease progression |
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 |
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 |
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 |
Umesh Gangadharaiah | JSS SCIENCE AND TECHNOLOGY UNIVERSITY | Alexnet,CNN |
AYUSHE GANGAL | G.B. Pant Govt. Engineering College | neural networks, deep learning |
Rekha Gangula | KITS, warangal | Alzheimer's disease analysis, prediction, Data analysis |
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 |
Simon Gao | FuDan University | adniczg123 |
Heibei Gao | Hangzhou Normal University | PD AD MC cognitive diseases |
Yifan Gao | Northeastern University | computer-aided diagnosis, deep learning, medical image analysis |
Libin Gao | Wenzhou University | data |
Xiao Gao | University of California, San Francisco | atrophy, cognition |
Fuxun Gao | University of Shanghai for Science and Technology | Alzheimer’s disease; Computer-aided diagnosis |
Yurui Gao | Vanderbilt University | functional connectivity |
Yali Gao | new york university | risk factor |
Xue Gao | Shaanxi Normal University | fMRI data |
Linlin Gao | Ningbo University | longitudinal MRI, convolutional neural network, recurrent neural network |
Kun Gao | UNC-chapel hill | medical image classification, deep neural network |
Kai Gao | SEfe | AD, MCI |
Hanzhi Gao | University of Florida | Matrix Masking, Neural Network over Masked Data |
Yuan Gao | University of Oxford | Yeye8330209 |
Lijuan Gao | Affiliated ZhongDa Hospital, Southeast University | APOE, DMN, MCI, conversion, AD |
Xingyu Gao | Shanghai Jiaotong University | Alzheimer`s disease, Muti-modality, Deep learning |
Yunhe Gao | Rutgers University | Segmentation CNN |
Kejiao Gao | Northeastern university of china | Transfer learning |
Xiaohong Gao | Middlesex University | multi-modal classifier, fuzzy logic |
Qinnan Gao | National Tsing Hua University | deep learning, CycleGAN |
Peirong Gao | Zhejiang University | BIN1,AD biomarker |
Jian Gao | Guizhou University | Request |
ang gao | CAS,china | Machine learning |
zhengzhou gao | beihang university | gzzhv587 |
Yang Gao | Central South University | AD/GNN/Disease Analysis |
yan gao | Xi’an Jiaotong University | multi-view classification |
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 |
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 |
Melanie Garcia | Hypercube Institute | Neuroimaging, Data analysis, multi-site effect |
Gracian Garcia | Quiron | PET; SPM; templates |
Miguel Garcia | Boehringer-Ingelheim | historical controls, placebo, disease modelling |
Tanya Garcia | Texas A&M University | T1-weighted MRI images; Cox regression; tensor covariates |
HAYDEE GARCIA | LIN | DATANMA |
Indira Garcia Cordero | UHN | AD, functional connectivity, pet, longitudinal analysis |
Carlos García Corral | University Carlos III of Madrid | Alzheimer's, Deep Learning, Classification, RMI |
Cindy Lucero Garcia Garcia | Douglas Research Centre | multimodal techniques |
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 |
Eloy García Pérez | Universidad Complutense of Madrid / Hospital CR | Artificial intelligence |
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. |
Gaurav Garg | University of Ulster | Modeling, EEG, fMRI, Alzheimer's, AD |
Rhythm Garg | Stanford University | computer vision, neuroimaging |
Himanshu garg | thapar university | Thanks |
NEHA GARG | akgec | ALZHEIMER |
Himanshu garg | thapar university | Thanks |
Ambika Garg | Thapar Institute of Engineering and Technology | Feature Extraction,PCA |
sampurna garg | thapar university | 123456 |
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 |
Bill Garofano | AZTherapies | Alzheimer's Disease, Amyloid Beta, Tau, Neurofilament Light |
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 |
Jeremy Gaskins | University of Louisville | Statistical methodology, Bayesian methods |
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 |
usha gautam | BMSCE | AD, normal, EMCI,LMCI,rs-FMRI |
Deepam Gautam | philips | research and investigation |
Nishant Gautam | JIIT | CN LMCI AD |
Deepam Gautam | philips | Brain MRI AI |
PRIYANKA GAUTAM | NIT JALANDHAR | deep learning, alzheimer |
Serge Gauthier | McGill University | Imaging, Alzheimer's Disease, Brain Connectivity |
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 |
changrong ge | Karolinska Institutet | biomarker |
Shufei Ge | Simon Fraser University | Associations study, Group Lasso ,spatial correlation structures |
Tian Ge | Athinoula A. Martinos Center for Biomedical Imaging | neuroimaging genetics |
youjin ge | Shanghai Maritime University | AD |
chuanhua ge | chongqing medical university | AD |
Black Ge | Beijing University of Science and Technology | fMRI ,classify |
Peicong Ge | Beijing Tiantan Hospital, Capital Medical University | biomarkers, AD, machine learning |
Huatao Ge | Changchun University of Science and Technology | image process |
Huatao Ge | Changchun University of Science and Technology | atlas |
Andrew Gearhart | Johns Hopkins University Applied Physics Laboratory | subtyping, unsupervised learning, |
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 |
lijun geng | Northwestern Polytechnical University | Longitudinal Prediction Deep Learning |
feifei geng | Emory University | Perivascular Spaces Segmentation |
CLAUDIO GENTILI | University of Padua | Functional connectivity; Alzheimer |
Claudene George, MD, RPh | Albert Einstein College of Medicine | ACE Inhibitors, Dementia |
Michalis Georgiou | University of Huddersfield | Alzheimer’s Disease Neuroimaging Initiative |
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 |
Faezeh Ghaemdoust | Tehran University of Medical Sciences | Alzheimer's |
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 |
Gregory Ghahramani | Weill Cornel Medicine | Alzheimer's Subtypes |
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 |
Saoussen gharsallah | Enetcom | Deep Learning, Alzheimer, Hippocamps |
Mina Ghasemi | Islamic azad university | minasibanner2000 |
MEHDI GHASEMI | IUST | graph theory |
Ehsan Ghavimehr | IAUTMU | AD subtypes |
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 |
mohammadreza ghorvei | tarbiat | deep learning |
Palash Ghosal | NIT DURGAPUR ,INDIA | Deep Learning,Machine Learning,Neurodegenerative disease |
Soumya Ghose | GE Global Research | Deep learning |
Sreejita Ghosh | DTU | bias |
Sukanta Ghosh | Jadavpur University | Alzheimer's disease Soft Computing |
Debjyoti Ghosh | Visva-Bharati University | Alzheimer |
Robin Ghosh | Jackson state university | Image Analysis, CNN |
Debjyoti Ghosh | VISVA BHARATI UNIVERSITY | Alzheimer, Disease, MRI |
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 |
Richard Gibbs | Baylor College of Medicine | Structural variants; ADSP |
Jesse Raphael Gibbs | National Institute on Aging, NIH | genetics neurodegeneration |
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 |
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 |
Giridhar giri | VKIT | Alzheimers, MCI, controls, MRI, fMRI |
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 |
Valentina Giunchiglia | Imperial College London | Alzheimer, Artificial Intelligence |
Felipe Giuste | Emory University | Neuroimaging, Machine Learning, Neuroinformatics |
Helia Givian | South Tehran Branch of Islamic Azad Universiy | Alzheimer's disease, Neurological disorder, deep learning, MRI |
Helia Givian | Islamic azad university south tehran branch | Alzheimer’s disease, deep learning, machine learning |
Helia Givian | - | 0440571898 |
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 |
Aakash Gnanavel | Vellore Institute of Technology | CNN, MATLAB, ALZHEIMER DISEASE |
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 |
Ankur Goel | Indraprastha Institute of Information Technology | Alzheimer, deep_learning |
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 |
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; |
Juan Pablo Gómez González | Qubiotech Health Intelligence S.L. | Segmentation, Quantification |
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 |
Liang Gong | Chengdu Second People's Hospital | APOE gene; functional connectivity; AD; Aging |
Yu Gong | Shenzhen Institutes of Advanced Technology Chinese academy of sciences | joint imaging; reconstruction; accelerated MRI; low-dose PET |
Kuang Gong | Massachusetts General Hospital | Deep learning, AD, MCI |
JIAHONG GONG | Harbin Medical University | 966730967 |
bangming gong | shanghai university | multi-view, medical imaging |
Daylin Gongora | CNEURO | structural MRI, Parkinson |
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 |
Raúl González Gómez | Center for Social and Cognitive Neuroscience | neurodegenerative desease, machine learning |
Fernando Gonzalez Ortiz | Gothenburg University | p-tau biomarkers amyloid PET |
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 |
Zachary Goodman | University of Miami | Machine Learning; Resting-State fMRI; Classification; Neuropsychology |
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 |
Hailey Gordon | West Los Angeles Veterans Affairs | Alzheimer's Dementia 2FA PET Neural Imaging |
Marcia Gordon | Michigan State University | senescence, CDKN2A, microglia |
Michael Gordon | The Pennsylvania State University | Machine Learning, Spectral Clustering, Generalized Principle Component Analysis |
Brian Gordon | Washington University in St. Louis | tau, amyloid, PET |
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 |
Padhraig Gormley | GSK | MR, pQTLs, neuroimaging |
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 |
Masami Goto | Juntendo University | MRI |
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, |
GAURAV GOYAL | CHITKARA UNIVERSITY | multiple sclerosis |
Palak Goyal | Thapar Institute of Engineering and Technology, Patiala | Alzheimer's Disease |
sonal goyal | NSIT, New delhi, india | MRI, Classification |
Shubham Goyal | Maharaja Agrasen Institute of Technology | Major Project |
Vidisha Goyal | Georgia Institute of Technology | Medical Image Processing |
Manu Goyal | Washington University School of Medicine | ADOPIC |
Saksham Goyal | BML Munjal University | Reasearch, Computer Vision |
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 |
Laura Gravelsins | University of Toronto | Surgical menopause; oxidative stress; cognitive decline; neurodegeneration |
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 |
Raymond Grimaila | GlaxoSmithKline | genetic vcf |
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 |
Joseph Grochowalski | New York University | psychometrics; change scores |
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 |
Dragos Gruia | Imperial College London | Depression Alzheimer Dementia |
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 |
Xiaoqing Gu | Changzhou university | machine learning;disease classification |
guojun Gu | Tongji Hospital, Medical School of Tongji Univers | ASL |
Nannan Gu | Shanghai Mental Health Center | cognitive impairment, Alzheimer’s disease, data-mining techniques |
dongdong gu | Hunan University | MRI |
Luyan Gu | Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou | perivascular space |
Yohn Guan | Shanghaitech University | disease progression, metric learning, multi task |
Hao Guan | UNC at Chapel Hill | machine learning, AD classification, MCI prediction |
Yi Guan | Boston University School of Medicine | Imaging, MCI, subtypes |
Hao Guan | The University of Sydney | Deep learning, disease prediction, interpretable image analysis |
zhao guanhua | Tianjin University of Traditional Chinese Medicine | machine learning,Alzheimer's disease |
Cecilia Guariglia |