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 · 123 citations

Engineering, Scheduling Problem, Intelligent Optimization +6

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 · 75 citations · Full text

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

Image Analysis, Machine Learning, Medical Imaging +12

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 · 49 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

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 · 48 citations

Genetic Operators, Pareto Archive Pso, Engineering +11