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Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy., , , and . CoRR, (2020)A new hybrid multi-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem., , and . Expert Syst. Appl., 38 (9): 10812-10821 (2011)Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks., , , , , , and . CoRR, (2020)A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy., , , , , , , , , and 2 other author(s). Medical Image Anal., (2021)Convoy movement problem: a civilian perspective., , and . JORS, 68 (1): 14-33 (2017)A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy., , , and . Mach. Learn. Sci. Technol., 2 (3): 35013 (2021)A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy., , , and . CoRR, (2020)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., , , , , , and . CoRR, (2019)Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks., , , , , , , , and . CoRR, (2021)Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning., , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 59-67. Springer, (2019)