Research Topics
| Mert R SabuncuSummaryAffiliation: Massachusetts Institute of Technology Country: USA Publications
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Detail Information
Publications
The association between a polygenic Alzheimer score and cortical thickness in clinically normal subjectsMert R Sabuncu
Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA
Cereb Cortex 22:2653-61. 2012....- The dynamics of cortical and hippocampal atrophy in Alzheimer diseaseMert R Sabuncu
Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, 02129, USA
Arch Neurol 68:1040-8. 2011..To characterize rates of regional Alzheimer disease (AD)-specific brain atrophy across the presymptomatic, mild cognitive impairment, and dementia stages... 
Using spanning graphs for efficient image registrationMert R Sabuncu
CSAIL, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
IEEE Trans Image Process 17:788-97. 2008..Our analysis gives additional insight into the tradeoffs the graph-based algorithm is making and how these will manifest themselves in the registration algorithm's performance...- Image-driven population analysis through mixture modelingMert R Sabuncu
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
IEEE Trans Med Imaging 28:1473-87. 2009..The algorithm produces two modes, one of which contains dementia patients only. These results suggest that the algorithm can be used to discover subpopulations that correspond to interesting structural or functional "modes.".. - Learning task-optimal registration cost functions for localizing cytoarchitecture and function in the cerebral cortexB T Thomas Yeo
Computer Science and Artificial Intelligence Laboratory, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
IEEE Trans Med Imaging 29:1424-41. 2010..We demonstrate state-of-the-art localization results in both histological and functional magnetic resonance imaging data sets... - Individual variability in functional connectivity architecture of the human brainSophia Mueller
Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA Harvard University, Center for Brain Science, Cambridge, MA 02138, USA Ludwig Maximilians University Munich, Institute of Clinical Radiology, Munich 81377, Germany
Neuron 77:586-95. 2013..Our findings have potential implications for understanding brain evolution and development, guiding intervention, and interpreting statistical maps in neuroimaging... - Discovering modes of an image population through mixture modelingMert R Sabuncu
Computer Science and Artificial Intelligence Laboratory, MIT, USA
Med Image Comput Comput Assist Interv 11:381-9. 2008..These results suggest that the algorithm can be used to discover sub-populations that correspond to interesting structural or functional "modes"... - The relevance voxel machine (RVoxM): a self-tuning Bayesian model for informative image-based predictionMert R Sabuncu
Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
IEEE Trans Med Imaging 31:2290-306. 2012..Our results indicate that RVoxM yields biologically meaningful models, while providing state-of-the-art predictive accuracy... - Effects of registration regularization and atlas sharpness on segmentation accuracyB T Thomas Yeo
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
Med Image Anal 12:603-15. 2008..Our experiments also suggest that segmentation accuracy is tolerant up to a small mismatch between atlas sharpness and warp smoothness... - A generative model for image segmentation based on label fusionMert R Sabuncu
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
IEEE Trans Med Imaging 29:1714-29. 2010..In a second experiment, we use brain MRI scans of 282 subjects to demonstrate that the proposed segmentation tool is sufficiently sensitive to robustly detect hippocampal volume changes in a study of aging and Alzheimer's Disease... - Stepwise connectivity of the modal cortex reveals the multimodal organization of the human brainJorge Sepulcre
Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Harvard Medical School, Boston, Massachusetts 02114, USA
J Neurosci 32:10649-61. 2012..We identify the large-scale multimodal integration network and essential connectivity axes for perceptual integration in the human brain... - Selective disruption of the cerebral neocortex in Alzheimer's diseaseRahul S Desikan
Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America
PLoS ONE 5:e12853. 2010..However, the precise relationship between pathologic changes in neocortical regions and hippocampal atrophy is largely unknown... - Spherical demons: fast diffeomorphic landmark-free surface registrationB T Thomas Yeo
Computer Science and Artificial Intelligence Laboratory, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
IEEE Trans Med Imaging 29:650-68. 2010..We validate the technique in two different applications that use registration to transfer segmentation labels onto a new image 1) parcellation of in vivo cortical surfaces and 2) Brodmann area localization in ex vivo cortical surfaces... - The organization of the human cerebral cortex estimated by intrinsic functional connectivityB T Thomas Yeo
Harvard University, Department of Psychology, Center for Brain Science, Cambridge, MA 02138, USA
J Neurophysiol 106:1125-65. 2011..We conclude by discussing the organization of these large-scale cerebral networks in relation to monkey anatomy and their potential evolutionary expansion in humans to support cognition... 
Nonlinear registration of diffusion MR images based on fiber bundlesUlas Ziyan
MIT Computer Science and Artificial Intelligence Lab, Cambridge MA, USA
Med Image Comput Comput Assist Interv 10:351-8. 2007..We demonstrate our algorithm on a group of subjects and show that it performs comparable to a higher dimensional nonrigid registration algorithm...- Network assemblies in the functional brainJorge Sepulcre
Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
Curr Opin Neurol 25:384-91. 2012..This review focuses on recent advances in functional connectivity MRI and renewed interest in studying the large-scale functional network assemblies in the brain. We also consider some methodological aspects of graph theoretical analysis... - The Relevance Voxel Machine (RVoxM): a Bayesian method for image-based predictionMert R Sabuncu
Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, MGH, Harvard Medical School, USA
Med Image Comput Comput Assist Interv 14:99-106. 2011..Experiments on age prediction from structural brain MRI indicate that RVoxM yields biologically meaningful models that provide excellent predictive accuracy... - The influence of head motion on intrinsic functional connectivity MRIKoene R A van Dijk
Harvard University Department of Psychology, Center for Brain Science, Cambridge, MA 02138, USA
Neuroimage 59:431-8. 2012..These effects are important to consider when interpreting variation between groups and across individuals... - On removing interpolation and resampling artifacts in rigid image registrationIman Aganj
Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
IEEE Trans Image Process 22:816-27. 2013.... - Effects of registration regularization and atlas sharpness on segmentation accuracyB T Thomas Yeo
Computer Science and Artificial Intelligence Lab, MIT, USA
Med Image Comput Comput Assist Interv 10:683-91. 2007..The optimal parcellation in all three cases corresponds to a unique balance of atlas "sharpness" and warp regularization that yield statistically significant improvements over the previously demonstrated parcellation results...