A three-branch U-Net denoises Monte Carlo beamlet dose from 25.7% NMAE to 0.106% NMAE on unseen head-and-neck patients, at 220 ms per beamlet.
A., Kupelian, P., & Santhanam, A
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DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy
A three-branch U-Net denoises Monte Carlo beamlet dose from 25.7% NMAE to 0.106% NMAE on unseen head-and-neck patients, at 220 ms per beamlet.