Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI. - Prathyush Chirra; Patrick Leo; Michael Yim; B. Nicolas Bloch; Ardeshir R. Rastinehad; Andrei S. Purysko; Mark Rosen; Anant Madabhushi; Satish Viswanath (Computer-Aided Diagnosis, 2018)

Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI. - Thomas DeSilvio; Jacob Antunes; Prathyush Chirra; Kaustav Bera; Jay Gollamudi; Raj M. Paspulati; Conor P. Delaney; Satish E. Viswanath (Image-Guided Procedures, 2019)

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. - Satish Viswanath; Prathyush Chirra; Michael Yim; Neil M. Rofsky; Andrei S. Purysko; Mark A. Rosen; B. Nicolas Bloch; Anant Madabhushi (BMC Medical Imaging, 2019)

SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach. - Amir Reza Sadri; Sepideh Azarianpour Esfahani; Prathyush Chirra; Jacob Antunes; Pavithran Pattiam Giriprakash; Patrick Leo; Anant Madabhushi; Satish E. Viswanath (MICCAI (3), 2021)

Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI. - Amir Reza Sadri; Thomas DeSilvio; Prathyush Chirra; Andrei S. Purysko; Rajmohan Paspulati; Kenneth Friedman; Smitha S. Krishnamurthi; David Liska; Sharon L. Stein; Satish E. Viswanath (Computer-Aided Diagnosis, 2022)

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI. - Amir Reza Sadri; Thomas DeSilvio; Prathyush Chirra; Sneha Singh; Satish E. Viswanath (MICCAI (3), 2022)

Identifying radiomic features associated with disease activity, patient outcomes, and serum phenotypes in pediatric Crohn's disease via MRI. - Prathyush Chirra; Avani Muchhala; Katelin Amann; Kaajal Krishnan; Jacob Kurowski; Satish E. Viswanath (Image-Guided Procedures, 2022)

Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI. - Thomas DeSilvio; Leo Bao; Dhruv Seth; Prathyush Chirra; Sneha Singh; Atreya Sridharan; Murad Labbad; Katherine Bingmer; Diana Jodeh; Eric L. Marderstein; Rajmohan Paspulati; David Liska; et al. (Image-Guided Procedures, 2023)