


His research interests are in medical image
analysis, computational
vision, modeling for vision and graphics and applied mathematics. In
the past several years, his research work has primarily focused on
developing algorithms for analysis of Diffusion Weighted MRI and
Diffusion Tensor MRI. Additionally, developing computationally
efficient algorithms for 3D image
segmentation, uni and multi-modal image registration, 3D shape
modeling and recovery from image data. He along with his ex-student
Dr. Ravi Malladi and Prof. James Sethian of UC Berekely were the first
to introduce level-sets based image segmentation to the field of
Computer Vision in '93 (SPIE conf. in Sandiego), a detailed version of
this work later appeared in ECCV'94 and PAMI'95. This work has todate
received more than 900 citations in journals and conferences spanning
the fields of Computer Vision, Medical Imaging, Graphics and others.
He has published over 100 refereed journal and conference articles in
the field of medical image analysis, computer vision, graphics and
applied mathematics.
Dr. Vemuri received the NSF Research Initiation Award (RIA) and the Whitaker Foundation Award in 1988 and '94 respectively. He was a recipient of the best peer reviews at ECCV '94 and a twice receipient of the best poster award at IPMI ('01 and '05). Dr. Vemuri is the program chair for the Intl. Conf. on Computer Vision (ICCV) 2007 in Rio (Brazil). He has has served, on the program committees of numerous IEEE conferences, and as an associate editor of several journals including IEEE Transactions on PAMI ('92-96) and IEEE Trans. on Medical Imaging (1997-2003). He is currently an Associate Editor for, the journal of Medical Image Analysis (MedIA) and the journal of Computer Vision and Image Understanding (CVIU). Dr. Vemuri is an IEEE Fellow and a member of the ACM SIGGRAPH and the SIAM.