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

26 citations · 26 across the 1 of their papers we have counts for

collaborators

1 paper

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…