The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Baba C. Vemuri sits on this spectrum.
This scientist: 291 publications — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Baba C. Vemuri sits on this spectrum.
This scientist: 58 D-Index — 75th percentile
75% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Baba C. Vemuri is affiliated with the University of Florida in the United States. Their research spans multiple fields including Medicine, Computer Science, and Engineering, with a notable focus on Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence, and Biomedical Engineering.
Their work covers several main topics such as Advanced Neuroimaging Techniques and Applications, Medical Imaging and Analysis, Medical Image Segmentation Techniques, Bayesian Methods and Mixture Models, Advanced Numerical Analysis Techniques, 3D Shape Modeling and Analysis, and Advanced MRI Techniques and Applications.
Frequent collaborators of Baba C. Vemuri include Chun-Hao Yang, Jose Bouza, Rudrasis Chakraborty, Xiran Fan, and Xiaoda Qu.
Noteworthy publication venues where Baba C. Vemuri's research has appeared include:
Selected recent papers by Baba C. Vemuri include:
Baba C. Vemuri has received several awards including the Edward J. McCluskey Technical Achievement Award from the IEEE Computer Society in 2017 for contributions to computer vision and medical image analysis, recognition as an ACM Fellow in 2009 for contributions to computer vision and medical image analysis, and designation as an IEEE Fellow in 2001 for contributions to shape estimation algorithms in computer vision and technical leadership related to biomedical image analysis.
R. Malladi;J.A. Sethian;B.C. Vemuri
Bing Jian;B C Vemuri
Murali Rao;Y. Chen;B.C. Vemuri;Fei Wang
Evren Özarslan;Timothy M. Shepherd;Baba C. Vemuri;Stephen J. Blackband
R.M. Bolle;B.C. Vemuri
Bing Jian;B.C. Vemuri
J.L. Marroquin;B.C. Vemuri;S. Botello;E. Calderon
R. Malladi;J. A. Sethian;B. C. Vemuri
Bing Jian;Baba C. Vemuri;Evren Özarslan;Paul R. Carney
Baba C. Vemuri;J. Ye;Y. Chen;Christiana Morison Leonard
B. Jian;B.C. Vemuri
Zhizhou Wang;B.C. Vemuri;Y. Chen;T.H. Mareci
Ravikanth Malladi;Baba C. Vemuri;James A. Sethian
B C Vemuri;A Mitiche;J K Aggarwal
Evren Özarslan;Baba C. Vemuri;Thomas H. Mareci
Zhizhou Wang;B.C. Vemuri
Sonia Pujol;William Wells;Carlo Pierpaoli;Caroline Brun
Ravikanth Malladi;James A. Sethian;Baba C. Vemuri
Fei Wang;Baba C. Vemuri
Angelos Barmpoutis;Min Sig Hwang;Dena Howland;John R. Forder
José L. Marroquín;Baba C. Vemuri;Salvador Botello;F. Calderon
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 100
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