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ORCIDAzar Sadeghnejad-Barkousaraie
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2020 – today
- 2021
[j4]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:
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. Medical Image Anal. 72: 102101 (2021)- [j3]Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen:
A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. Mach. Learn. Sci. Technol. 2(3): 35013 (2021) - [i6]Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad-Barkousaraie, Rafe McBeth, Mu-Han Lin, Steve B. Jiang, Dan Nguyen:
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. CoRR abs/2106.07825 (2021) - 2020
- [i5]Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen:
A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. CoRR abs/2004.06244 (2020) - [i4]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:
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. CoRR abs/2004.13294 (2020) - [i3]Gyanendra Bohara, Azar Sadeghnejad-Barkousaraie, Steve B. Jiang, Dan Nguyen:
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy. CoRR abs/2006.11236 (2020) - [i2]Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang:
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. CoRR abs/2011.00388 (2020)
2010 – 2019
- 2019
- [c2]Azar Sadeghnejad-Barkousaraie, Olalekan P. Ogunmolu, Steve B. Jiang, Dan Nguyen:
Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy. AIRT@MICCAI 2019: 1-9 - [c1]Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Chenyang Shen, Xun Jia, Steve B. Jiang:
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. MICCAI (6) 2019: 59-67 - [i1]Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang:
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 abs/1908.05874 (2019) - 2017
- [j2]Azar Sadeghnejad-Barkousaraie, Rajan Batta, Moises Sudit:
Convoy movement problem: a civilian perspective. J. Oper. Res. Soc. 68(1): 14-33 (2017) - 2011
- [j1]Reza Tavakkoli-Moghaddam, Mojgan Azarkish, Azar Sadeghnejad-Barkousaraie:
A new hybrid multi-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem. Expert Syst. Appl. 38(9): 10812-10821 (2011)
Coauthor Index
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