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
GeoJSON Export
{
"features": [],
"type": "FeatureCollection"
}
1,176
37
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 1,176 | 522 |
| Downloads | 37 | 7 |
| Data volume | 7.6 GB | 807.8 MB |
| Unique views | 933 | 438 |
| Unique downloads | 31 | 5 |
- Publication date:
- June 21, 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-39339, https://www.hzdr.de/publications/Publ-38858 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International