2026 Baba C. Vemuri: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	58	3564	3463	1713	1652	291	17710

Research.com Recognitions

2017 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering and sustaining contributions to computer vision and medical image analysis.
2009 - ACM Fellow For contributions to computer vision and medical image analysis.
2001 - IEEE Fellow For contributions to shape estimation algorithms in computer vision and the technical leadership that led to their widespread adoption in biomedical image analysis.

Overview

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:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lecture notes in computer science
The Journal of Machine Learning for Biomedical Imaging
Journal of the American Statistical Association

Selected recent papers by Baba C. Vemuri include:

"ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
"VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
"MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications," 2020, arXiv (Cornell University)
"Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images," 2023, Lecture notes in computer science
"An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices," 2022, Journal of the American Statistical Association

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.

Best Publications

Shape modeling with front propagation: a level set approach

R. Malladi;J.A. Sethian;B.C. Vemuri

4926
Citations
Robust Point Set Registration Using Gaussian Mixture Models

Bing Jian;B C Vemuri

1123
Citations
Cumulative residual entropy: a new measure of information

Murali Rao;Y. Chen;B.C. Vemuri;Fei Wang

691
Citations
Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT).

Evren Özarslan;Timothy M. Shepherd;Baba C. Vemuri;Stephen J. Blackband

474
Citations
On three-dimensional surface reconstruction methods

R.M. Bolle;B.C. Vemuri

446
Citations
A robust algorithm for point set registration using mixture of Gaussians

Bing Jian;B.C. Vemuri

436
Citations
An accurate and efficient Bayesian method for automatic segmentation of brain MRI

J.L. Marroquin;B.C. Vemuri;S. Botello;E. Calderon

351
Citations
Evolutionary fronts for topology-independent shape modeling and recovery

R. Malladi;J. A. Sethian;B. C. Vemuri

308
Citations
A novel tensor distribution model for the diffusion-weighted MR signal

Bing Jian;Baba C. Vemuri;Evren Özarslan;Paul R. Carney

287
Citations
Image registration via level-set motion: applications to atlas-based segmentation.

Baba C. Vemuri;J. Ye;Y. Chen;Christiana Morison Leonard

280
Citations
A Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI

B. Jian;B.C. Vemuri

260
Citations
A constrained variational principle for direct estimation and smoothing of the diffusion tensor field from complex DWI

Zhizhou Wang;B.C. Vemuri;Y. Chen;T.H. Mareci

242
Citations
A topology-independent shape modeling scheme

Ravikanth Malladi;Baba C. Vemuri;James A. Sethian

235
Citations
Curvature-based representation of objects from range data

B C Vemuri;A Mitiche;J K Aggarwal

221
Citations
Generalized scalar measures for diffusion MRI using trace, variance, and entropy

Evren Özarslan;Baba C. Vemuri;Thomas H. Mareci

215
Citations
DTI segmentation using an information theoretic tensor dissimilarity measure

Zhizhou Wang;B.C. Vemuri

208
Citations
The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery

Sonia Pujol;William Wells;Carlo Pierpaoli;Caroline Brun

196
Citations
A fast level set based algorithm for topology-independent shape modeling

Ravikanth Malladi;James A. Sethian;Baba C. Vemuri

194
Citations
Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy

Fei Wang;Baba C. Vemuri

192
Citations
Regularized positive-definite fourth order tensor field estimation from DW-MRI.

Angelos Barmpoutis;Min Sig Hwang;Dena Howland;John R. Forder

164
Citations
An Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI

José L. Marroquín;Baba C. Vemuri;Salvador Botello;F. Calderon

19
Citations

Frequent Co-Authors

Anand Rangarajan University of Florida

Vikas Singh University of Wisconsin–Madison

Shang-Hong Lai National Tsing Hua University

David E. Vaillancourt University of Florida

Christiana M. Leonard University of Florida

Hong Qin Stony Brook University

Jose L. Marroquin Mathematics Research Center

Jake K. Aggarwal The University of Texas at Austin

Paul R. Carney University of Missouri

James A. Sethian University of California, Berkeley

External Links

Wikipedia of Baba C. Vemuri Personal website of Baba C. Vemuri Google Scholar page

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