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


BibTeX Export

@misc{starke_sebastian_2024_3025,
  author       = {Starke, Sebastian and
                  Kieslich, Aaron Markus and
                  Palkowitsch, Martina and
                  Hennings, Fabian and
                  Troost, Esther Gera Cornelia and
                  Krause, Mechthild and
                  Bensberg, Jona and
                  Hahn, Christian and
                  Heinzelmann, Feline and
                  Bäumer, Christian and
                  Lühr, Armin and
                  Timmermann, Beate and
                  Löck, Steffen},
  title        = {{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}},
  month        = jun,
  year         = 2024,
  doi          = {10.14278/rodare.3025},
  url          = {https://doi.org/10.14278/rodare.3025}
}
331
22
views
downloads
All versions This version
Views 33161
Downloads 224
Data volume 4.4 GB476.1 MB
Unique views 30150
Unique downloads 172

Share

Cite as