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Author/Creator Sadeghnejad Barkousaraie, Azar

1. 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. (22nd February 2021)

Authors:
Nguyen, Dan; Sadeghnejad Barkousaraie, Azar; Bohara, Gyanendra; Balagopal, Anjali; McBeth, Rafe; Lin, Mu-Han; Jiang, Steve
Journal:
Physics in medicine & biology
Issue:
Volume 66:Number 5(2021)
Page Start:
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

3. 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. Issue 3 (29th December 2019)

Authors:
Nguyen, Dan; McBeth, Rafe; Sadeghnejad Barkousaraie, Azar; Bohara, Gyanendra; Shen, Chenyang; Jia, Xun; Jiang, Steve
Journal:
Medical physics
Issue:
Volume 47:Issue 3(2020)
Page Start:
837
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗

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