26 citations · 27 across the 3 of their papers we have counts for
3 papers
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…
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…
Embedding of FRPN in CNN architecture
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli +1
This paper extends the fully recursive perceptron network (FRPN) model for vectorial inputs to include deep convolutional neural networks (CNNs) which can accept multi-dimensional…