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, and Alireza Entezari. Medical Image Analysis. MedIA 2019.
Statistical Recurrent Models on Manifold valued Data
Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, and Baba C Vemuri. 32nd Conference on Neural Information Processing Systems. NeurIPS 2018.
Sparse Exact PGA on Riemannian Manifolds
Monami Banerjee, Rudrasis Chakraborty, and Baba Vemuri. International Conference of Computer Vision. ICCV 2017.
L2E: A Framework for Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging Monami Banerjee, Bing Jian, and Baba Vemuri. Information Processing in Medical Imaging. IPMI 2017 (Oral Presentation).
Statistics on the space of trajectories for Longitudinal data analysis
Rudrasis Chakraborty, Monami Banerjee, and Baba Vemuri. International Symposium of Biomedical Imaging. ISBI 2017.
A method for automated classification of Parkinson’s disease diagnosis using an Ensemble Average Propagator template brain map estimated from diffusion MRI
Monami Banerjee, Michael S Okun, David E Vaillancourt, and Baba C Vemuri. PloS one. 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 Viallancourt, and Baba C Vemuri. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2016.
Nonlinear Regression on Riemannian Manifolds and Its Appications to Neuro-Image Analysis
Monami Banerjee, Rudrasis Chakraborty, Edward Ofori, Michael S Okun, David E Viallancourt, and Baba C Vemuri. International Conference on Medical Image Computing and Computer-Assisted Intervention. MICCAI 2015.