
- Other College Appointments
- Cornell Tech
- Weill Cornell Medicine
Biography
Mert R. Sabuncu joined Cornell University in July 2017 as Assistant Professor in the School of Electrical and Computer Engineering, with a secondary appointment in the School of Biomedical Engineering. Dr. Sabuncu was promoted to Professor in January 2023.
Dr. Sabuncu received a Ph.D. degree in Electrical Engineering from Princeton University, where his dissertation work focused on entropy-based image registration. He then moved to Massachusetts Institute of Technology (MIT) to do a post-doc at the Computer Science and Artificial Intelligence Lab (CSAIL). His post-doc work dealt with developing algorithms to analyze large-scale biomedical image data.
Research Interests
- Biomedical image analysis, with application focus in neurology/neuroscience
- Applied machine learning in bio-medicine
- Probabilistic modeling of biological (e.g., genetic) data
- Image processing, computer vision.
- Biotechnology
- Artificial Intelligence
- Computer Aided Diagnosis
- Image Analysis
- Signal and Image Processing
- Statistics and Machine Learning
- Bioengineering
- Biomedical Engineering
- Biomedical Imaging and Instrumentation
- Computational Science and Engineering
- Neuroscience
- Systems and Synthetic Biology
- Systems and Networking
- Bio-Electrical Engineering
- Information Theory and Communications
- Information, Networks, and Decision Systems
Select Publications
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Ge, T., M. Reuter, A. M. Winkler, A. J. Holmes, P. H. Lee, L. S. Tirrell, Mert Sabuncu. 2016. “Multidimensional heritability of neuroanatomical shape.” Nature communications.
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Sabuncu, Mert, E. Konukoglu. 2015. “Clinical prediction from structural brain MRI scans: a large-scale empirical study. “Neuroinformatics 13 (1).
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Sabuncu, Mert, B. T. Yeo, K. Van Leemput, B. Fischl, P. Golland. 2010. “A generative model for image segmentation based on label fusion.” IEEE transactions on medical imaging 29 (10).
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Sabuncu, Mert, B. D. Singer, B. Conroy, R. E. Bryan, P. J. Ramadge, J. V. Haxby. 2010. “Function-based intersubject alignment of human cortical anatomy.” Cerebral Cortex 20 (1).
Select Awards and Honors
- Michael Tien '72 Sustained Excellence & Innovation in Engineering Education Award, College of Engineering, Cornell University 2021
- Young Investigator Publication Impact Award, Co-authored paper, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2011
- Career Development Grant (K25), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institute of Health (NIH) 2011
- Catalyst KL2 Merit Award, Harvard University 2010
- Outstanding Teaching Assistant Award, Department of Electrical Engineering, Princeton University 2006
Education
- B.S., Electrical and Electronic Engineering, Middle East Technical University 2001
- M.Eng., Electrical Engineering, Princeton University 2003
- Ph.D., Electrical Engineering, Princeton University 2006