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
{ "name": "Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients", "@id": "https://doi.org/10.14278/rodare.2438", "@context": "https://schema.org/", "identifier": "https://doi.org/10.14278/rodare.2438", "@type": "Dataset", "creator": [ { "@type": "Person", "name": "Starke, Sebastian", "@id": "https://orcid.org/0000-0001-5007-1868" }, { "@type": "Person", "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", "@id": "https://orcid.org/0000-0003-4261-4214" }, { "@type": "Person", "name": "Troost, Esther Gera Cornelia", "@id": "https://orcid.org/0000-0001-9550-9050" }, { "@type": "Person", "name": "Krause, Mechthild", "@id": "https://orcid.org/0000-0003-1776-9556" }, { "@type": "Person", "affiliation": "German Cancer Research Center (DKFZ)", "name": "Baumann, Michael" }, { "@type": "Person", "name": "L\u00f6ck, Steffen", "@id": "https://orcid.org/0000-0002-7017-3738" } ], "sameAs": [ "https://www.hzdr.de/publications/Publ-37408" ], "url": "https://rodare.hzdr.de/record/2438", "datePublished": "2023-08-16", "description": "<p>This dataset contains the model checkpoints, predictions and performance metrics for the multitask neural networks presented in the corresponding manuscript.</p>", "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" ], "inLanguage": { "@type": "Language", "alternateName": "eng", "name": "English" } }
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