Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy. - Dan Nguyen; Rafe McBeth; Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Chenyang Shen; Xun Jia; Steve B. Jiang (CoRR, 2019)

Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy. - Gyanendra Bohara; Azar Sadeghnejad-Barkousaraie; Steve B. Jiang; Dan Nguyen (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)

A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. - Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Steve B. Jiang; Dan Nguyen (Mach. Learn. Sci. Technol., 2021)