Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture. - Dan Nguyen; Xun Jia; David J. Sher; Mu-Han Lin; Zohaib Iqbal; Hui Liu; Steve B. Jiang (CoRR, 2018)

Fully Automated Organ Segmentation in Male Pelvic CT Images. - Anjali Balagopal; Samaneh Kazemifar; Dan Nguyen; Mu-Han Lin; Raquibul Hannan; Amir Owrangi; Steve B. Jiang (CoRR, 2018)

Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations. - Ana M. Barragan-Montero; Dan Nguyen; Weiguo Lu; Mu-Han Lin; Xavier Geets; Edmond Sterpin; Steve B. Jiang (CoRR, 2018)

Application of deep neural networks for automatic planning in radiation oncology treatments. - Ana M. Barragan-Montero; Dan Nguyen; Weiguo Lu; Mu-Han Lin; Xavier Geets; Edmond Sterpin; Steve B. Jiang (ESANN, 2019)

Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices. - Roya Norouzi Kandalan; Dan Nguyen; Nima Hassan Rezaeian; Ana M. Barragan-Montero; Sebastiaan Breedveld; Kamesh Namuduri; Steve B. Jiang; Mu-Han Lin (CoRR, 2020)

Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. - Dan Nguyen; Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Anjali Balagopal; Rafe McBeth; Mu-Han Lin; Steve B. Jiang (CoRR, 2020)

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)

Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. - Maryam Mashayekhi; Itzel Ramirez Tapia; Anjali Balagopal; Xinran Zhong; Azar Sadeghnejad-Barkousaraie; Rafe McBeth; Mu-Han Lin; Steve B. Jiang; Dan Nguyen (CoRR, 2021)

A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. - Ti Bai; Anjali Balagopal; Michael Dohopolski; Howard E. Morgan; Rafe McBeth; Jun Tan; Mu-Han Lin; David J. Sher; Dan Nguyen; 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)

Region Specific Optimization (RSO)-based Deep Interactive Registration. - Ti Bai; Mu-Han Lin; Xiao Liang; Biling Wang; Michael Dohopolski; Bin Cai; Dan Nguyen; Steve B. Jiang (CoRR, 2022)

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)

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation. - Dan Nguyen; Anjali Balagopal; Ti Bai; Michael Dohopolski; Mu-Han Lin; Steve B. Jiang (Mach. Learn. Sci. Technol., 2025)

AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality. - Biling Wang; Austen Maniscalco; Ti Bai; Siqiu Wang; Michael Dohopolski; Mu-Han Lin; Chenyang Shen; Dan Nguyen; Junzhou Huang; Steve B. Jiang; Xinlei Wang (CoRR, 2025)