Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results. - Rakesh Shiradkar; Ruyuan Zuo; Amr Mahran; Lee Ponsky; Sree Harsha Tirumani; Anant Madabhushi (Computer-Aided Diagnosis, 2020)

Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer. - Ansh Roge; Amogh Hiremath; Michael Sobota; Sree Harsha Tirumani; Leonardo Kayat Bittencourt; Justin Ream; Ryan Ward; Halimat Olaniyan; Sadhna Verma; Andrei S. Purysko; Anant Madabhushi; Rakesh Shiradkar (Computer-Aided Diagnosis, 2022)

Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning. - Chenchu Xu; Dong Zhang 009; Yuhui Song; Leonardo Kayat Bittencourt; Sree Harsha Tirumani; Shuo Li 001 (MICCAI (5), 2022)

Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents. - Chenchu Xu; Yuhong Song; Dong Zhang 009; Leonardo Kayat Bittencourt; Sree Harsha Tirumani; Shuo Li 001 (Medical Image Anal., 2023)