Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study. - Peter Q. Lee; Alessandro Guida; Steve Patterson; Thomas Trappenberg; Chris V. Bowen; Steven D. Beyea; Jennifer Merrimen; Cheng Wang 041; Sharon E. Clarke (Comput. Medical Imaging Graph., 2019)

Comparison of Objective Image Quality Metrics to Expert Radiologists' Scoring of Diagnostic Quality of MR Images. - Allister Mason; James Rioux; Sharon E. Clarke; Andreu Costa; Matthias Schmidt; Valerie Keough; Thien Huynh; Steven D. Beyea (IEEE Trans. Medical Imaging, 2020)

Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images. - David Hoar; Peter Q. Lee; Alessandro Guida; Steven Patterson; Chris V. Bowen; Jennifer Merrimen; Cheng Wang 041; Ricardo Rendon; Steven D. Beyea; Sharon E. Clarke (Comput. Methods Programs Biomed., 2021)