Martina Palkowitsch

According to our database, Martina Palkowitsch authored at least 3 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Data publication: Deep learning for dose-averaged linear energy transfer estimation in pencil-beam scanning and double scattering proton plans with uncertainty-aware external validation.

Aaron Markus Kieslich, Yerik Singh, Martina Palkowitsch, Sebastian Starke, Fabian Hennings, Esther Gera Cornelia Troost, Mechthild Krause, Jona Bensberg, Armin Lühr, Feline Heinzelmann, Christian Bäumer, Beate Timmermann, Nicolas Depauw, Helen A. Shih, Steffen Löck

Dataset, December, 2025

2024

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.

Sebastian Starke, Aaron Markus Kieslich, Martina Palkowitsch, Fabian Hennings, Esther Troost, Mechthild Krause, Jona Bensberg, Christian Hahn, Feline Heinzelmann, Christian Bäumer, Armin Lühr, Beate Timmermann, Steffen Löck

Dataset, June, 2024

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.

Sebastian Starke, Aaron Markus Kieslich, Martina Palkowitsch, Fabian Hennings, Esther Gera Cornelia Troost, Mechthild Krause, Jona Bensberg, Christian Hahn, Feline Heinzelmann, Christian Bäumer, Armin Lühr, Beate Timmermann, Steffen Löck

Dataset, March, 2024