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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

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

1 November 2020
D. Nguyen
A. Sadeghnejad-Barkousaraie
G. Bohara
Anjali Balagopal
R. Mcbeth
Mu-Han Lin
Steve B. Jiang
    UQCV
    OOD
ArXivPDFHTML

Papers citing "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"

1 / 1 papers shown
Title
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep
  Neural Networks: Robust Learning from Heterogeneous Beam Configurations
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations
A. M. Barragán-Montero
D. Nguyen
W. Lu
Mu-Han Lin
X. Geets
E. Sterpin
Steve B. Jiang
40
128
0
17 Dec 2018
1