August 16, 2023 Dataset Closed Access

Starke, Sebastian; Zwanenburg, Alex; Leger, Karoline; Lohaus, Fabian; Linge, Annett; Schreiber, Andreas; Kalinauskaite, Goda; Tinhofer, Inge; Guberina, Nika; Guberina, Maja; Balermpas, Panagiotis; von der Grün, Jens; Ganswindt, Ute; Belka, Claus; Peeken, Jan C.; Combs, Stephanie E.; Böke, Simon; Zips, Daniel; Richter, Christian; Troost, Esther Gera Cornelia; Krause, Mechthild; Baumann, Michael; Löck, Steffen

Citation Style Language JSON Export

{
  "abstract": "<p>This dataset contains the model checkpoints, predictions and performance metrics for the multitask neural networks presented in the corresponding manuscript.</p>", 
  "language": "eng", 
  "DOI": "10.14278/rodare.2438", 
  "type": "dataset", 
  "id": "2438", 
  "issued": {
    "date-parts": [
      [
        2023, 
        8, 
        16
      ]
    ]
  }, 
  "author": [
    {
      "family": "Starke, Sebastian"
    }, 
    {
      "family": "Zwanenburg, Alex"
    }, 
    {
      "family": "Leger, Karoline"
    }, 
    {
      "family": "Lohaus, Fabian"
    }, 
    {
      "family": "Linge, Annett"
    }, 
    {
      "family": "Schreiber, Andreas"
    }, 
    {
      "family": "Kalinauskaite, Goda"
    }, 
    {
      "family": "Tinhofer, Inge"
    }, 
    {
      "family": "Guberina, Nika"
    }, 
    {
      "family": "Guberina, Maja"
    }, 
    {
      "family": "Balermpas, Panagiotis"
    }, 
    {
      "family": "von der Gr\u00fcn, Jens"
    }, 
    {
      "family": "Ganswindt, Ute"
    }, 
    {
      "family": "Belka, Claus"
    }, 
    {
      "family": "Peeken, Jan C."
    }, 
    {
      "family": "Combs, Stephanie E."
    }, 
    {
      "family": "B\u00f6ke, Simon"
    }, 
    {
      "family": "Zips, Daniel"
    }, 
    {
      "family": "Richter, Christian"
    }, 
    {
      "family": "Troost, Esther Gera Cornelia"
    }, 
    {
      "family": "Krause, Mechthild"
    }, 
    {
      "family": "Baumann, Michael"
    }, 
    {
      "family": "L\u00f6ck, Steffen"
    }
  ], 
  "title": "Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients", 
  "publisher": "Rodare"
}