Baba C. Vemuri

Medicine · Health Sciences

48h-index12.9kcitations317works0.32yr avg
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Research Topics

Advanced Neuroimaging Techniques and Applications(105), Medical Image Segmentation Techniques(99), Advanced MRI Techniques and Applications(49), Advanced Vision and Imaging(42), Morphological variations and asymmetry(42)

Publications317 total

A Steerable Deep Network for Model-Free Diffusion MRI Registration
arXiv (Cornell University)·2025Open Access
Theory and Applications of Kernel Stein's Method on Riemannian Manifolds
arXiv (Cornell University)·2025Open Access
Kernel Stein Discrepancy on Lie Groups: Theory and Applications
IEEE Transactions on Information Theory·2024· 1 citedOpen Access
Higher Order Gauge Equivariant Convolutions for Neurodegenerative Disorder Classification
2024Open Access
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
arXiv (Cornell University)·2023Open Access
Kernel Stein Discrepancy on Lie Groups: Theory and Applications
arXiv (Cornell University)·2023Open Access
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
PubMed·2023· 2 citedOpen Access
Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images
Lecture notes in computer science·2023· 4 citedOpen Access
A Framework for Improving the Characterization Scope of Stein's Method on Riemannian Manifolds
arXiv (Cornell University)·2022Open Access
An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices
Journal of the American Statistical Association·2022· 3 citedOpen Access
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022Open Access
Nested Grassmannians for Dimensionality Reduction with Applications
The Journal of Machine Learning for Biomedical Imaging·2022· 1 citedOpen Access
An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices*
Figshare·2022Open Access
An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices
Figshare·2022Open Access
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design
arXiv (Cornell University)·2021Open Access
VolterraNet: A higher order convolutional network with group\n equivariance for homogeneous manifolds
arXiv (Cornell University)·2021Open Access
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds
arXiv (Cornell University)·2021· 1 citedOpen Access
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis
Lecture notes in computer science·2021Open Access
A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing
Lecture notes in computer science·2021· 6 cited
The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery: The DTI Challenge on Tractography for Neurosurgery
UNC Libraries·2020Open Access
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Frequent Co-authors

Thomas H. Mareci(8), Yu Chen(6), Jian Bing(5), James A. Sethian(4), Evren Özarslan(4), Timothy M. Shepherd(4), Angelos Barmpoutis(4), Christiana M. Leonard(3), Meizhu Liu(3), Шун-ичи Амари(3), Frank Nielsen(3), Tim McGraw(3), R. Malladi(2), Fei Wang(2), Stephen J. Blackband(2), José L. Marroquín(2), Paul R. Carney(2), J. Ye(2), Ziyang Wang(2), Zhizhou Wang(2)