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20162022
most citedFast and accurate dose predictions for novel radiotherapy treatments in heterogeneous phantoms using conditional 3D-UNet generative adversarial networks

26 citations · 42 across the 8 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

physics.med-ph2022★ 8 cited

Accurate and fast deep learning dose prediction for a preclinical microbeam radiation therapy study using low-statistics Monte Carlo simulations

Florian Mentzel, Jason Paino, Micah Barnes +13

Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumour diagnoses that currently have poor clinic…

physics.med-ph2022★ 26 cited

Fast and accurate dose predictions for novel radiotherapy treatments in heterogeneous phantoms using conditional 3D-UNet generative adversarial networks

Florian Mentzel, Kevin Kröninger, Michael Lerch +8

Novel radiotherapy techniques like synchrotron X-ray microbeam radiation therapy (MRT), require fast dose distribution predictions that are accurate at the sub-mm level, especially…