Azar Sadeghnejad-Barkousaraie

12 papers Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
Medical Image Anal.
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
2021 J jnl
A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy.
Mach. Learn. Sci. Technol.
Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen
2021 J jnl
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks.
CoRR
Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad-Barkousaraie, Rafe McBeth, Mu-Han Lin, Steve B. Jiang, Dan Nguyen
2020 J jnl
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
CoRR
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
2020 J jnl
A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy.
CoRR
Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen
2020 J jnl
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy.
CoRR
Gyanendra Bohara, Azar Sadeghnejad-Barkousaraie, Steve B. Jiang, Dan Nguyen
2020 J jnl
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.
CoRR
Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang
2019 — conf
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning.
MICCAI (6)
Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Chenyang Shen, Xun Jia, Steve B. Jiang
2019 J jnl
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.
CoRR
Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang
2019 — conf
Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy.
AIRT@MICCAI
Azar Sadeghnejad-Barkousaraie, Olalekan P. Ogunmolu, Steve B. Jiang, Dan Nguyen
2017 J jnl
Convoy movement problem: a civilian perspective.
J. Oper. Res. Soc.
Azar Sadeghnejad-Barkousaraie, Rajan Batta, Moises Sudit
2011 J jnl
A new hybrid multi-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem.
Expert Syst. Appl.
Reza Tavakkoli-Moghaddam, Mojgan Azarkish, Azar Sadeghnejad-Barkousaraie