PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes. - Anjali Balagopal; Howard E. Morgan; Michael Dohopolski; Ramsey Timmerman; Jie Shan; Daniel F. Heitjan; Wei Liu; Dan Nguyen; Raquibul Hannan; Aurelie Garant; Neil Desai; Steve B. Jiang (Artif. Intell. Medicine, 2021)

Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study. - Anjali Balagopal; Dan Nguyen; Maryam Mashayekhi; Howard E. Morgan; Aurelie Garant; Neil Desai; Raquibul Hannan; Mu-Han Lin; Steve B. Jiang (CoRR, 2021)

PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume. - Anjali Balagopal; Howard E. Morgan; Michael Dohopolski; Ramsey Timmerman; Jie Shan; Daniel F. Heitjan; Wei Liu; Dan Nguyen; Raquibul Hannan; Aurelie Garant; Neil Desai; Steve B. Jiang (CoRR, 2021)

A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. - Anjali Balagopal; Dan Nguyen; Howard E. Morgan; Yaochung Weng; Michael Dohopolski; Mu-Han Lin; Azar Sadeghnejad-Barkousaraie; Yesenia Gonzalez; Aurelie Garant; Neil Desai; Raquibul Hannan; Steve B. Jiang (Medical Image Anal., 2021)

Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. - Biling Wang; Michael Dohopolski; Ti Bai; Junjie Wu; Raquibul Hannan; Neil Desai; Aurelie Garant; Dan Nguyen; Xinlei Wang; Mu-Han Lin; Robert Timmerman; Steve B. Jiang (CoRR, 2022)

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer. - Anjali Balagopal; Michael Dohopolski; Young Suk Kwon; Steven Montalvo; Howard E. Morgan; Ti Bai; Dan Nguyen; Xiao Liang; Xinran Zhong; Mu-Han Lin; Neil Desai; Steve B. Jiang (CoRR, 2023)