Feature selection with SVD entropy: Some modification and extension. - Monami Banerjee; Nikhil R. Pal (Inf. Sci., 2014)

Interpolation on the Manifold of K Component GMMs. - Hyunwoo J. Kim; Nagesh Adluru; Monami Banerjee; Baba C. Vemuri; Vikas Singh (ICCV, 2015)

Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis. - Monami Banerjee; Rudrasis Chakraborty; Edward Ofori; David E. Vaillancourt; Baba C. Vemuri (MICCAI (1), 2015)

Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR). - Monami Banerjee; Nikhil R. Pal (IEEE Trans. Knowl. Data Eng., 2015)

A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis. - Monami Banerjee; Rudrasis Chakraborty; Edward Ofori; Michael S. Okun; David E. Vaillancourt; Baba C. Vemuri (CVPR, 2016)

Sparse Exact PGA on Riemannian Manifolds. - Monami Banerjee; Rudrasis Chakraborty; Baba C. Vemuri (ICCV, 2017)

Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging. - Monami Banerjee; Bing Jian; Baba C. Vemuri (IPMI, 2017)

Statistics on the space of trajectories for longitudinal data analysis. - Rudrasis Chakraborty; Monami Banerjee; Baba C. Vemuri (ISBI, 2017)

A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices. - Rudrasis Chakraborty; Chun-Hao Yang; Xingjian Zhen; Monami Banerjee; Derek B. Archer; David E. Vaillancourt; Vikas Singh; Baba C. Vemuri (NeurIPS, 2018)

Dictionary Learning and Sparse Coding on Statistical Manifolds. - Rudrasis Chakraborty; Monami Banerjee; Baba C. Vemuri (CoRR, 2018)

H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces. - Rudrasis Chakraborty; Monami Banerjee; Baba C. Vemuri (CoRR, 2018)

Statistical Recurrent Models on Manifold valued Data. - Rudrasis Chakraborty; Chun-Hao Yang; Xingjian Zhen; Monami Banerjee; Derek B. Archer; David E. Vaillancourt; Vikas Singh; Baba C. Vemuri (CoRR, 2018)

DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification. - Monami Banerjee; Rudrasis Chakraborty; Derek B. Archer; David E. Vaillancourt; Baba C. Vemuri (ISBI, 2019)

A geometric framework for ensemble average propagator reconstruction from diffusion MRI. - Baba C. Vemuri; Jiaqi Sun; Monami Banerjee; Zhixin Pan; Sara M. Turner; David D. Fuller; John R. Forder; Alireza Entezari (Medical Image Anal., 2019)

VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds. - Monami Banerjee; Rudrasis Chakraborty; Jose Bouza; Baba C. Vemuri (IEEE Trans. Pattern Anal. Mach. Intell., 2022)