My research is focused on discrete optimization methods for analyzing images, with an emphasis on medical applications. I hold a joint position in computer science and in radiology, and most of my work involves both departments. I am currently doing my reseach at Cornell's NYC campus.
I enjoy teaching introductory undergraduate courses, especially involving functional programming or algorithms.
- Felzenszwalb, Pedro, Ramin Zabih. 2011. "Dynamic Programming and Graph Algorithms in Computer Vision." IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (4).
- Szeliski, R., Ramin Zabih, D. Scharstein, O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, C. Rother. 2008. "A comparative study of energy minimization methods for Markov random fields with smoothness-based priors." IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (6): 1068-1080.
- Raj, A., G. Singh, Ramin Zabih, B. Kressler, Y. Wang, N. Schuff, M. Weiner. 2007. "Bayesian parallel Imaging with edge-preserving priors." Magnetic Resonance in Medicine 57 (1): 8-21.
- Boykov, Y., O. Veksler, Ramin Zabih. 2001. "Fast approximate energy minimization via graph cuts." IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (11): 1222-1239.
- Huang, J., S. R. Kumar, M. Mitra, W. J. Zhu, Ramin Zabih. 1999. "Spatial color indexing and applications." International Journal of Computer Vision 35 (3): 245-268.
Selected Awards and Honors
- TPAMI Mark Everingham Prize 2016
- Royal Academy of Engineering Distinguished Visiting Fellow at Oxford University 2015
- Helmholtz prize (International Conference on Computer Vision) 2013
- Research Citation Finalist (Society of Critical Care Medicine) 2013
- Fellow (IEEE) 2012
Stanford University 1994