A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. - Maysam Shahedi; Martin T. Halicek; Qinmei Li; Lizhi Liu; Zhenfeng Zhang; Sadhna Verma; David M. Schuster; Baowei Fei (Image-Guided Procedures, 2019)

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)