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Department of Physics
Dosimetry

Publications

2022

F. Mentzel et al. Accurate and fast deep learning dose prediction for a preclinical microbeam radiation therapy study using low-statistics Monte Carlo simulations [arXiv: 2212.05659] Cancers 15 (2023) 2137
F. Mentzel et al. Small beams, fast predictions - A comparison of machine learning dose prediction models for proton minibeam therapy Med Phys. 49 (2022) 779
F. Mentzel et al. Fast and accurate dose predictions for novel radiotherapy treatments in heterogeneous phantoms using conditional 3D-UNet generative adversarial networks MedPhys. 2022; 1-16.
[arXiv: 2202.07077]

2021

F. Mentzel et al. No more glowing in the dark: How deep learning improves exposure date estimation in thermoluminescence dosimetry J. Radiol. Prot. 41 (2021) 506

2020

F. Mentzel  
et al.
Extending information relevant for personal dose monitoring obtained from glow curves of thermoluminescence dosimeters using artificial neural networks Radiat. Meas. 136 (2020) 106375
M. Hötting    
et al.
Study of radiation-induced frequency shifts in quarz crystal oscillators, proceedings of the 2020 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), Vicenza, Italy DOI

2019

M. Heiny et al. A new TL-DOS neutron dosemeter for measurements of the personal dose equivalent Hp(10) Radiat. Prot. Dosim. 188 (2019) 8
K. Kröninger et al. A machine learning approach to glow curve analysis Radiat. Meas. 125 (2019) 34

2018

R. Theinert et al.  Fading time and irradiation dose estimation from thermoluminescent dosemeters using glow curve deconvolution Radiat. Meas. 108 (2018) 20

2017

M. Piepenbrock et al. Development of a badge for the thin-layer thermoluminescence dosemeter system TL-DOS to measure the whole body dose Hp10 and the partial body dose Hp0.07 Radiat. Meas. 106 (2017) 543
R. Theinert et al. Computational analysis of thermoluminescence glow curves from thin layer dosemeters under exponential heating Radiat. Meas. 106 (2017) 252