THOMAS DESILVIO

DeSilvio T, Antunes JT, Bera K, Chirra P, Le H, Liska D, Stein SL, Marderstein E, Hall W, Paspulati R, Gollamudi J, Purysko AS and Viswanath SE (2023) Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study... Singh S, DeSilvio T , Sadri A, Labbad M, Gupta A, Bingmer K, Paspulati R, Gollamudi J, Friedman A, Liska D, Stein S, Marderstein E, PuryskoA, Krishnamurthi S, and Viswanath S.E., Radiomic tumor diversity features across pre- and post-chemoradiation MRI are associated with pathologic complete response to neoadjuvant chemoradiation in rectal cancers: a multi-institutional study... My research focuses on developing novel artificial intelligence, specifically deep learning, tools for medical imaging analysis to improve computer-aided diagnosis and treatment evaluation. By applying these tools to magnetic resonance imaging (MRI) and digital pathology, I hope to enhance cancer..