Thomas DeSilvio

According to our database, Thomas DeSilvio authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

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, Andrew Janowczyk

CoRR, 2023

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, Kenneth Friedman, Smitha S. Krishnamurthi, Sharon L. Stein, Andrei S. Purysko, Satish E. Viswanath

Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

2022

Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI.

Amir Reza Sadri, Thomas DeSilvio, Prathyush Chirra, Sneha Singh, Satish E. Viswanath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2019

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

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019