User profiles for M. R. Sabuncu

Mert R. Sabuncu

Cornell University, Cornell Tech, Weill Cornell Medicine
Verified email at cornell.edu
Cited by 29009

Multi-atlas segmentation of biomedical images: a survey

JE Iglesias, MR Sabuncu - Medical image analysis, 2015 - Elsevier
Sabuncu b … For example, it has been observed that atlas selection can improve the accuracy
of majority voting (Aljabar et al., 2007), but is less critical for weighted fusion (Sabuncu et al., …

Machine learning in resting-state fMRI analysis

…, K Jamison, GH Ngo, A Kuceyeski, MR Sabuncu - Magnetic resonance …, 2019 - Elsevier
Abstract Machine learning techniques have gained prominence for the analysis of resting-state
functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview of …

The organization of the human cerebral cortex estimated by intrinsic functional connectivity

…, J Sepulcre, MR Sabuncu… - Journal of …, 2011 - journals.physiology.org
… of temporopolar and orbital frontal regions that are affected by MR susceptibility. Since
MR susceptibility spatially distorts the MR signal and reduces SNR, there is uncertainty in the …

The influence of head motion on intrinsic functional connectivity MRI

KRA Van Dijk, MR Sabuncu, RL Buckner - Neuroimage, 2012 - Elsevier
Functional connectivity MRI (fcMRI) has been widely applied to explore group and individual
differences. A confounding factor is head motion. Children move more than adults, older …

Voxelmorph: a learning framework for deformable medical image registration

G Balakrishnan, A Zhao, MR Sabuncu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
… Throughout this study, we use the example of registering 3D MR brain scans. However, our
method … Guttag, and MR Sabuncu, “Unsupervised learning for fast probabilistic diffeomorphic …

[PDF][PDF] Individual variability in functional connectivity architecture of the human brain

…, D Wang, MD Fox, BTT Yeo, J Sepulcre, MR Sabuncu… - Neuron, 2013 - cell.com
The fact that people think or behave differently from one another is rooted in individual
differences in brain anatomy and connectivity. Here, we used repeated-measurement resting-…

An unsupervised learning model for deformable medical image registration

G Balakrishnan, A Zhao, MR Sabuncu… - Proceedings of the …, 2018 - openaccess.thecvf.com
… Throughout this paper, we use the example of registering 3D MR brain scans. However,
our method is broadly applicable to registration tasks, both within and beyond the …

A generative model for image segmentation based on label fusion

MR Sabuncu, BTT Yeo, K Van Leemput… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
MR Sabuncu and BTT Yeo contributed equally to this work. … paper focuses on magnetic
resonance (MR) imaging of the brain. … Early MR segmentation algorithms mainly dealt with the …

Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion

R Kong, J Li, C Orban, MR Sabuncu, H Liu… - Cerebral …, 2019 - academic.oup.com
… Mert R Sabuncu , Mert R Sabuncu … Ru Kong, Jingwei Li, Csaba Orban, Mert R Sabuncu,
Hesheng Liu, Alexander Schaefer, Nanbo Sun, Xi-Nian Zuo, Avram J Holmes, Simon B Eickhoff, …

Unsupervised learning for fast probabilistic diffeomorphic registration

…, G Balakrishnan, J Guttag, MR Sabuncu - Medical Image Computing …, 2018 - Springer
… Example MR slices of input moving image, atlas, and resulting warped image for our method
and ANTs, with overlaid boundaries of ventricles, thalami and hippocampi. Our resulting …