Decision forests for learning prostate cancer probability maps from multiparametric MRI. - Henry R. Ehrenberg; Daniel Cornfeld; Cayce B. Nawaf; Preston C. Sprenkle; James S. Duncan (Computer-Aided Diagnosis, 2016)

Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention. - John A. Onofrey; Lawrence H. Staib; Saradwata Sarkar; Rajesh Venkataraman; Cayce B. Nawaf; Preston C. Sprenkle; Xenophon Papademetris (Medical Image Anal., 2017)

Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization. - John A. Onofrey; Dana I. Casetti-Dinescu; Andreas D. Lauritzen; Saradwata Sarkar; Rajesh Venkataraman; Richard E. Fan; Geoffrey A. Sonn; Preston C. Sprenkle; Lawrence H. Staib; Xenophon Papademetris (ISBI, 2019)

Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology. - Tal Ze'evi; Michael S. Leapman; Preston C. Sprenkle; Rajesh Venkataraman; Lawrence H. Staib; John A. Onofrey (IEEE Trans. Biomed. Eng., 2024)