A new hybrid multi-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem. - Reza Tavakkoli-Moghaddam; Mojgan Azarkish; Azar Sadeghnejad-Barkousaraie (Expert Syst. Appl., 2011)

Convoy movement problem: a civilian perspective. - Azar Sadeghnejad-Barkousaraie; Rajan Batta; Moises Sudit (J. Oper. Res. Soc., 2017)

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. - Dan Nguyen; Azar Sadeghnejad-Barkousaraie; Chenyang Shen; Xun Jia; Steve B. Jiang (MICCAI (6), 2019)

Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy. - Azar Sadeghnejad-Barkousaraie; Olalekan P. Ogunmolu; Steve B. Jiang; Dan Nguyen (AIRT@MICCAI, 2019)

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)

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 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)

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)