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)

Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection. - Thomas DeSilvio; Stefania Moroianu; Indrani Bhattacharya; Arun Seetharaman; Geoffrey A. Sonn; Mirabela Rusu (Computer-Aided Diagnosis, 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)

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)

CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. - Fan Fan; Georgia Martinez; Thomas DeSilvio; John Shin; Yijiang Chen; Bangchen Wang; Takaya Ozeki; Maxime W. Lafarge; Viktor H. Koelzer; Laura Barisoni; Anant Madabhushi; Satish E. Viswanath; et al. (CoRR, 2023)