activity
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 · 4 across the 3 of their papers we have counts for

collaborators
Showing physics.med-phShow all

2 papers · 1 filter

physics.med-ph2020★ 3 cited

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 +4

Recently, artificial intelligence technologies and algorithms have become a major focus for advancements in treatment planning for radiation therapy. As these are starting to becom…

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…