Monami Banerjee

According to our database, Monami Banerjee authored at least 15 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

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

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces.

Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri

CoRR, 2018

Dictionary Learning and Sparse Coding on Statistical Manifolds.

Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri

CoRR, 2018

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Statistics on the space of trajectories for longitudinal data analysis.

Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging.

Monami Banerjee, Bing Jian, Baba C. Vemuri

Proceedings of the Information Processing in Medical Imaging, 2017

Sparse Exact PGA on Riemannian Manifolds.

Monami Banerjee, Rudrasis Chakraborty, Baba C. Vemuri

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR).

Monami Banerjee, Nikhil R. Pal

IEEE Trans. Knowl. Data Eng., 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Interpolation on the Manifold of K Component GMMs.

Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Feature selection with SVD entropy: Some modification and extension.

Monami Banerjee, Nikhil R. Pal

Inf. Sci., 2014