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

8 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

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★ 1 cited

A step towards treatment planning for microbeam radiation therapy: fast peak and valley dose predictions with 3D U-Nets

Florian Mentzel, Micah Barnes, Kevin Kröninger +9

Fast and accurate dose predictions are one of the bottlenecks in treatment planning for microbeam radiation therapy (MRT). In this paper, we propose a machine learning (ML) model b…