Mert R. Sabuncu

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B.T. Thomas YeoNational University of SingaporeBestätigte E-Mail-Adresse bei nus.edu.sg
Bruce Fischl or B FischlMass General Hospital/Harvard Medical SchoolBestätigte E-Mail-Adresse bei nmr.mgh.harvard.edu
Adrian V DalcaHarvard Medical School & Massachusetts Institute of TechnologyBestätigte E-Mail-Adresse bei mit.edu
Jordan SmollerMassachusetts General HospitalBestätigte E-Mail-Adresse bei broadinstitute.org
Randy L. BucknerSosland Family Professor of Psychology and of Neuroscience, Harvard University, MassachusettsBestätigte E-Mail-Adresse bei harvard.edu
Jorge SepulcreAssociate Professor, Yale UniversityBestätigte E-Mail-Adresse bei yale.edu
Polina GollandMassachusetts Institute of TechnologyBestätigte E-Mail-Adresse bei mit.edu
Avram HolmesDepartment of Psychiatry, Center for Brain Health, Rutgers UniversityBestätigte E-Mail-Adresse bei rutgers.edu
Hesheng LiuProfessor, Changping Laboratory & Peking University, BeijingBestätigte E-Mail-Adresse bei nmr.mgh.harvard.edu
Amy KuceyeskiWeill Cornell MedicineBestätigte E-Mail-Adresse bei med.cornell.edu
Keith JamisonWeill Cornell MedicineBestätigte E-Mail-Adresse bei med.cornell.edu
Tian GeMassachusetts General Hospital, Harvard Medical SchoolBestätigte E-Mail-Adresse bei mgh.harvard.edu
Koen Van LeemputAalto University & Harvard Medical SchoolBestätigte E-Mail-Adresse bei nmr.mgh.harvard.edu
John GuttagBestätigte E-Mail-Adresse bei mit.edu
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLBestätigte E-Mail-Adresse bei mgh.harvard.edu
Zhilu ZhangAmazon Web ServicesBestätigte E-Mail-Adresse bei cornell.edu
Reisa SperlingProfessor of Neurology, Harvard Medical School, Brigham and Women's Hospital, Massachusetts General HospitalBestätigte E-Mail-Adresse bei rics.bwh.harvard.edu
Alan WangStanford UniversityBestätigte E-Mail-Adresse bei stanford.edu
Prof. Dr. Martin ReuterDirector AI in Medical Imaging DZNE Bonn Germany, Radiology & Neurology at Harvard Medical SchoolBestätigte E-Mail-Adresse bei mgh.harvard.edu
Meenakshi KhoslaMassachusetts Institute of TechnologyBestätigte E-Mail-Adresse bei cornell.edu

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Mert R. Sabuncu

Cornell University, Cornell Tech, Weill Cornell Medicine

Bestätigte E-Mail-Adresse bei cornell.edu - Startseite

AI for medical imaging medical image computing medical image analysis machine learning


Titel Nach Zitationen sortieren Nach Jahr sortieren Nach Titel sortieren	Zitiert von Zitiert von	Jahr
The organization of the human cerebral cortex estimated by intrinsic functional connectivity BTT Yeo, F Krienen, J Sepulcre, MR Sabuncu, D Lashkari, M Hollinshead, ... Journal of Neurophysiology 106 (3), 1125-1165, 2011	8432	2011
Generalized cross entropy loss for training deep neural networks with noisy labels Z Zhang, MR Sabuncu Advances in neural information processing systems, 8778-8788, 2018	3171	2018
The influence of head motion on intrinsic functional connectivity MRI KRA Van Dijk, MR Sabuncu, RL Buckner Neuroimage 59 (1), 431-438, 2012	2521	2012
Voxelmorph: a learning framework for deformable medical image registration G Balakrishnan, A Zhao, MR Sabuncu, J Guttag, AV Dalca IEEE transactions on medical imaging 38 (8), 1788-1800, 2019	1982	2019
Individual variability in functional connectivity architecture of the human brain S Mueller, D Wang, MD Fox, BTT Yeo, J Sepulcre, MR Sabuncu, ... Neuron 77 (3), 586-595, 2013	1135	2013
An unsupervised learning model for deformable medical image registration G Balakrishnan, A Zhao, MR Sabuncu, J Guttag, AV Dalca Proceedings of the IEEE conference on computer vision and pattern …, 2018	835	2018
Multi-Atlas Segmentation of Biomedical Images: A Survey JE Iglesias, MR Sabuncu Medical Image Analysis 24 (1), 205–219, 2015	820	2015
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces AV Dalca, G Balakrishnan, J Guttag, MR Sabuncu Medical image analysis 57, 226-236, 2019	781	2019
A generative model for image segmentation based on label fusion MR Sabuncu, BTT Yeo, K Van Leemput, B Fischl, P Golland IEEE transactions on medical imaging 29 (10), 1714-1729, 2010	597	2010
Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion R Kong, J Li, C Orban, MR Sabuncu, H Liu, A Schaefer, N Sun, XN Zuo, ... Cerebral cortex 29 (6), 2533-2551, 2019	558	2019
Spherical demons: fast diffeomorphic landmark-free surface registration BTT Yeo, MR Sabuncu, T Vercauteren, N Ayache, B Fischl, P Golland IEEE transactions on medical imaging 29 (3), 650-668, 2009	417	2009
Statistical analysis of longitudinal neuroimage data with linear mixed effects models JL Bernal-Rusiel, DN Greve, M Reuter, B Fischl, MR Sabuncu Neuroimage 66, 249-260, 2013	409	2013
The dynamics of cortical and hippocampal atrophy in Alzheimer disease MR Sabuncu, RS Desikan, J Sepulcre, BTT Yeo, H Liu, NJ Schmansky, ... Archives of neurology 68 (8), 1040-1048, 2011	397	2011
Stepwise connectivity of the modal cortex reveals the multimodal organization of the human brain J Sepulcre, MR Sabuncu, TB Yeo, H Liu, KA Johnson Journal of Neuroscience 32 (31), 10649-10661, 2012	350	2012
Global signal regression strengthens association between resting-state functional connectivity and behavior J Li, R Kong, R Liégeois, C Orban, Y Tan, N Sun, AJ Holmes, ... NeuroImage 196, 126-141, 2019	313	2019
Neurobiological basis of head motion in brain imaging LL Zeng, D Wang, MD Fox, M Sabuncu, D Hu, M Ge, RL Buckner, H Liu Proceedings of the National Academy of Sciences 111 (16), 6058-6062, 2014	290	2014
Genetic variation and neuroimaging measures in Alzheimer disease A Biffi, CD Anderson, RS Desikan, M Sabuncu, L Cortellini, N Schmansky, ... Archives of neurology 67 (6), 677-685, 2010	284	2010
Resting brain dynamics at different timescales capture distinct aspects of human behavior R Liégeois, J Li, R Kong, C Orban, D Van De Ville, T Ge, MR Sabuncu, ... Nature communications 10 (1), 2317, 2019	262	2019
Phenome-wide heritability analysis of the UK Biobank T Ge, CY Chen, BM Neale, MR Sabuncu, JW Smoller PLoS genetics 13 (4), e1006711, 2017	251	2017
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics T He, R Kong, AJ Holmes, M Nguyen, MR Sabuncu, SB Eickhoff, D Bzdok, ... NeuroImage 206, 116276, 2020	234	2020

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