26 citations · 38 across the 2 of their papers we have counts for
4 papers
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…
No more glowing in the dark: How deep learning improves exposure date estimation in thermoluminescence dosimetry
Florian Mentzel, Evelin Derugin, Hannah Jansen +4
The time- or temperature-resolved detector signal from a thermoluminescence dosimeter can reveal additional information about circumstances of an exposure to ionizing irradiation.…
Maximum performance of strange-jet tagging at hadron colliders
Johannes Erdmann, Olaf Nackenhorst, Sonja Verena Zeißner
The maximum achievable performance of strange-jet tagging at hadron colliders and the loss in performance in different detector designs is estimated based on simulated truth jets f…
From the Bottom to the Top -- Reconstruction of Events with Deep Learning
Johannes Erdmann, Tim Kallage, Kevin Kröninger +1
The reconstruction of top-quark pair-production () events is a prerequisite for many top-quark measurements. We use a deep neural network, trained with Monte-Carlo simula…