Azar Sadeghnejad-Barkousaraie
Orcid: 0000-0002-4331-4988
According to our database1,
Azar Sadeghnejad-Barkousaraie
authored at least 10 papers
between 2011 and 2021.
Collaborative distances:
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Bibliography
2021
A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy.
Mach. Learn. Sci. Technol., 2021
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
Medical Image Anal., 2021
CoRR, 2021
2020
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.
CoRR, 2020
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy.
CoRR, 2020
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.
CoRR, 2019
Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2017
2011
A new hybrid multi-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem.
Expert Syst. Appl., 2011