Azar Sadeghnejad-Barkousaraie

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 11

Top Topics

Radiation Therapy

Top Venues

Mach. Learn. Sci. Technol.

Medical Image Anal.

Publications

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 (2021)
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 (2021)
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) (2021)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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)
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 (2019)
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)
Azar Sadeghnejad-Barkousaraie, Rajan Batta, Moises Sudit
Convoy movement problem: a civilian perspective. J. Oper. Res. Soc. 68 (1) (2017)
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) (2011)