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
{
"url": "https://rodare.hzdr.de/record/2438",
"@type": "Dataset",
"inLanguage": {
"name": "English",
"@type": "Language",
"alternateName": "eng"
},
"@context": "https://schema.org/",
"creator": [
{
"name": "Starke, Sebastian",
"@type": "Person",
"@id": "https://orcid.org/0000-0001-5007-1868"
},
{
"affiliation": "National Center for Tumor Diseases (NCT)",
"name": "Zwanenburg, Alex",
"@type": "Person"
},
{
"affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus",
"name": "Leger, Karoline",
"@type": "Person"
},
{
"affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus",
"name": "Lohaus, Fabian",
"@type": "Person"
},
{
"affiliation": "Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus",
"name": "Linge, Annett",
"@type": "Person"
},
{
"affiliation": "Department of Radiotherapy, Hospital Dresden-Friedrichstadt",
"name": "Schreiber, Andreas",
"@type": "Person"
},
{
"affiliation": "Department of Radiooncology and Radiotherapy, Charit\u00e9 University Hospital",
"name": "Kalinauskaite, Goda",
"@type": "Person"
},
{
"affiliation": "Department of Radiooncology and Radiotherapy, Charit\u00e9 University Hospital",
"name": "Tinhofer, Inge",
"@type": "Person"
},
{
"affiliation": "Department of Radiotherapy, Medical Faculty, University of Duisburg-Essen",
"name": "Guberina, Nika",
"@type": "Person"
},
{
"affiliation": "Department of Radiotherapy, Medical Faculty, University of Duisburg-Essen",
"name": "Guberina, Maja",
"@type": "Person"
},
{
"affiliation": "Department of Radiotherapy and Oncology, Goethe-University Frankfurt",
"name": "Balermpas, Panagiotis",
"@type": "Person"
},
{
"affiliation": "Department of Radiotherapy and Oncology, Goethe-University Frankfurt",
"name": "von der Gr\u00fcn, Jens",
"@type": "Person"
},
{
"affiliation": "Department of Radiation Oncology, Medical University of Innsbruck",
"name": "Ganswindt, Ute",
"@type": "Person"
},
{
"affiliation": "Department of Radiation Oncology, Ludwig-Maximilians-Universit\u00e4t",
"name": "Belka, Claus",
"@type": "Person"
},
{
"affiliation": "Department of Radiation Oncology, Technische Universit\u00e4t M\u00fcnchen",
"name": "Peeken, Jan C.",
"@type": "Person"
},
{
"affiliation": "Department of Radiation Oncology, Technische Universit\u00e4t M\u00fcnchen",
"name": "Combs, Stephanie E.",
"@type": "Person"
},
{
"affiliation": "Department of Radiation Oncology, Faculty of Medicine and University Hospital T\u00fcbingen",
"name": "B\u00f6ke, Simon",
"@type": "Person"
},
{
"affiliation": "Department of Radiation Oncology, Faculty of Medicine and University Hospital T\u00fcbingen",
"name": "Zips, Daniel",
"@type": "Person"
},
{
"name": "Richter, Christian",
"@type": "Person",
"@id": "https://orcid.org/0000-0003-4261-4214"
},
{
"name": "Troost, Esther Gera Cornelia",
"@type": "Person",
"@id": "https://orcid.org/0000-0001-9550-9050"
},
{
"name": "Krause, Mechthild",
"@type": "Person",
"@id": "https://orcid.org/0000-0003-1776-9556"
},
{
"affiliation": "German Cancer Research Center (DKFZ)",
"name": "Baumann, Michael",
"@type": "Person"
},
{
"name": "L\u00f6ck, Steffen",
"@type": "Person",
"@id": "https://orcid.org/0000-0002-7017-3738"
}
],
"description": "<p>This dataset contains the model checkpoints, predictions and performance metrics for the multitask neural networks presented in the corresponding manuscript.</p>",
"identifier": "https://doi.org/10.14278/rodare.2438",
"sameAs": [
"https://www.hzdr.de/publications/Publ-37408"
],
"name": "Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients",
"keywords": [
"survival analysis",
"vision transformer",
"convolutional neural network",
"multitask learning",
"tumor segmentation",
"head and neck cancer",
"Cox proportional hazards",
"loco-regional control",
"progression-free survival",
"discrete-time survival models"
],
"@id": "https://doi.org/10.14278/rodare.2438",
"datePublished": "2023-08-16"
}
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