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 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 150 citations in journals and conferences
spanning the fields of Computer Vision, Medical Imaging, Graphics and others.
He has published numerous 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 first prize for the best international paper in Computer Vision from the International Association of Pattern Recognition (IAPR NORWAY) in 1992 and subsequently received the best peer reviews for his (co-authored) paper in the 3rd European Conf. on Computer Vision '94 held at Stockholm in Sweden. Dr. Vemuri has served, on the program committees of numerous IEEE conferences, and as an associate editor of several journals including IEEE Transactions on PAMI. He is currently an Associate Editor for the IEEE Trans. on Medical Imaging (TMI), 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.