Dataset Open Access
Data publication: A deep-learning-based surrogate model for Monte-Carlo simulations of the linear energy transfer in primary brain tumor patients treated with proton-beam radiotherapy
Starke, Sebastian;
Kieslich, Aaron Markus;
Palkowitsch, Martina;
Hennings, Fabian;
Troost, Esther Gera Cornelia;
Krause, Mechthild;
Bensberg, Jona;
Hahn, Christian;
Heinzelmann, Feline;
Bäumer, Christian;
Lühr, Armin;
Timmermann, Beate;
Löck, Steffen
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2,348
136
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 2,348 | 1,161 |
| Downloads | 136 | 63 |
| Data volume | 22.9 GB | 14.4 GB |
| Unique views | 2,006 | 1,009 |
| Unique downloads | 127 | 59 |
- Publication date:
- March 15, 2024
- DOI:
-
- Keyword(s):
- proton-beam therapy relative biological effectiveness linear energy transfer NTCP models deep learning brain tumor
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-38860 - Referenced by:
https://www.hzdr.de/publications/Publ-38858 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International