User profiles for M. R. Sabuncu
Mert R. SabuncuCornell 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., …
of majority voting (Aljabar et al., 2007), but is less critical for weighted fusion (Sabuncu et al., …
Machine learning in resting-state fMRI analysis
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 …
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 …
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
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 …
differences. A confounding factor is head motion. Children move more than adults, older …
Voxelmorph: a learning framework for deformable medical image registration
… 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 …
method … Guttag, and MR Sabuncu, “Unsupervised learning for fast probabilistic diffeomorphic …
[PDF][PDF] Individual variability in functional connectivity architecture of the human brain
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-…
differences in brain anatomy and connectivity. Here, we used repeated-measurement resting-…
An unsupervised learning model for deformable medical image registration
… 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 …
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 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 …
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
… 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, …
Hesheng Liu, Alexander Schaefer, Nanbo Sun, Xi-Nian Zuo, Avram J Holmes, Simon B Eickhoff, …
Unsupervised learning for fast probabilistic diffeomorphic registration
… 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 …
and ANTs, with overlaid boundaries of ventricles, thalami and hippocampi. Our resulting …