Mert R. Sabuncu
Image processing; computer vision; machine learning; statistical modeling and inference
Current Research Interest
Artificial intelligence and big data analytics in biomedical applications; using tools from signal/image processing, probabilistic modeling, statistical inference, computer vision, computational geometry, graph theory, and machine learning to develop algorithms to learn from and exploit large-scale biomedical data
National Institutes of Health Career Development Award
Ge, Tian, Martin Reuter, Anderson M. Winkler, Avram J. Holmes, Phil H. Lee, Lee S. Tirrell, Joshua L. Roffman, Randy L. Buckner, Jordan W. Smoller, and Mert R. Sabuncu. “Multidimensional Heritability Analysis of Neuroanatomical Shape.” Nature Communications 7 (2016): 13291.
Sabuncu, Mert R., Tian Ge, Avram J. Holmes, Jordan W. Smoller, Randy L. Buckner, and Bruce Fischl. “Morphometricity as a Measure of the Neuroanatomical Signature of a Trait." Proceedings of the National Academy of Sciences 113, no. 39 (2016): E5749-E5756.