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20192025
most citedA comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks

3 citations · 5 across the 5 of their papers we have counts for

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physics.med-ph2019

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 +4

We propose a novel domain specific loss, which is a differentiable loss function based on the dose volume histogram, and combine it with an adversarial loss for the training of dee…