December 16, 2025 Dataset Open Access

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

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{
  "DOI": "10.14278/rodare.4185", 
  "abstract": "<p>This repository contains the outputs, model checkpoints&nbsp;and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions and uncertainty estimation, which build the foundation for the corresponding article.</p>", 
  "title": "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", 
  "author": [
    {
      "family": "Kieslich, Aaron Markus"
    }, 
    {
      "family": "Singh, Yerik"
    }, 
    {
      "family": "Palkowitsch, Martina"
    }, 
    {
      "family": "Starke, Sebastian"
    }, 
    {
      "family": "Hennings, Fabian"
    }, 
    {
      "family": "Troost, Esther Gera Cornelia"
    }, 
    {
      "family": "Krause, Mechthild"
    }, 
    {
      "family": "Bensberg, Jona"
    }, 
    {
      "family": "L\u00fchr, Armin"
    }, 
    {
      "family": "Heinzelmann, Feline"
    }, 
    {
      "family": "B\u00e4umer, Christian"
    }, 
    {
      "family": "Timmermann, Beate"
    }, 
    {
      "family": "Depauw, Nicolas"
    }, 
    {
      "family": "Shih, Helen A."
    }, 
    {
      "family": "L\u00f6ck, Steffen"
    }
  ], 
  "id": "4185", 
  "issued": {
    "date-parts": [
      [
        2025, 
        12, 
        16
      ]
    ]
  }, 
  "publisher": "Rodare", 
  "type": "dataset", 
  "version": "Version 1.0.0"
}