Azar Sadeghnejad Barkousaraie

A new hybrid multi-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem

Reza Tavakkoli‐Moghaddam, Mozhgan Azarkish, Azar Sadeghnejad Barkousaraie · Expert Systems with Applications · 2011 · 124 citations

Management, Industrial Engineering, Operations Management +12

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 et al. · Medical Physics · 2019 · 83 citations · Full text

Medicine, Biomedical Engineering, Radiation Oncology +17

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 et al. · Medical Image Analysis · 2021 · 61 citations

Computing, Computer Science, Radiation Oncology +16

A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks

Dan Nguyen, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara et al. · Physics in Medicine and Biology · 2021 · 51 citations · Full text

Medicine, Computer Science, Radiation Oncology +17

Solving a multi-objective job shop scheduling problem with sequence-dependent setup times by a Pareto archive PSO combined with genetic operators and VNS

Reza Tavakkoli‐Moghaddam, Mozhgan Azarkish, Azar Sadeghnejad Barkousaraie · The International Journal of Advanced Manufacturing Technology · 2010 · 49 citations

Management, Industrial Engineering, Operations Management +17