Dataset Open Access
Starke, Sebastian; Kieslich, Aaron Markus; Palkowitsch, Martina; Hennings, Fabian; Troost, Esther Gera Cornelia; Krause, Mechthild; Bensberg, Jona; Hahn, Christian; Heinzelmann, Feline; Bäumer, Christian; Lühr, Armin; Timmermann, Beate; Löck, Steffen
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rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Palkowitsch, Martina</foaf:name> <foaf:givenName>Martina</foaf:givenName> <foaf:familyName>Palkowitsch</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Hennings, Fabian</foaf:name> <foaf:givenName>Fabian</foaf:givenName> <foaf:familyName>Hennings</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0001-9550-9050"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Troost, Esther Gera Cornelia</foaf:name> <foaf:givenName>Esther Gera Cornelia</foaf:givenName> <foaf:familyName>Troost</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0003-1776-9556"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Krause, Mechthild</foaf:name> <foaf:givenName>Mechthild</foaf:givenName> <foaf:familyName>Krause</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Bensberg, Jona</foaf:name> <foaf:givenName>Jona</foaf:givenName> <foaf:familyName>Bensberg</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Hahn, Christian</foaf:name> <foaf:givenName>Christian</foaf:givenName> <foaf:familyName>Hahn</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Heinzelmann, Feline</foaf:name> <foaf:givenName>Feline</foaf:givenName> <foaf:familyName>Heinzelmann</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Bäumer, Christian</foaf:name> <foaf:givenName>Christian</foaf:givenName> <foaf:familyName>Bäumer</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0002-9450-6859"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Lühr, Armin</foaf:name> <foaf:givenName>Armin</foaf:givenName> <foaf:familyName>Lühr</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Timmermann, Beate</foaf:name> <foaf:givenName>Beate</foaf:givenName> <foaf:familyName>Timmermann</foaf:familyName> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0002-7017-3738"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Löck, Steffen</foaf:name> <foaf:givenName>Steffen</foaf:givenName> <foaf:familyName>Löck</foaf:familyName> </rdf:Description> </dct:creator> <dct:title>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</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Rodare</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2024</dct:issued> <dcat:keyword>proton-beam therapy</dcat:keyword> <dcat:keyword>relative biological effectiveness</dcat:keyword> <dcat:keyword>linear energy transfer</dcat:keyword> <dcat:keyword>NTCP models</dcat:keyword> <dcat:keyword>deep learning</dcat:keyword> <dcat:keyword>brain tumor</dcat:keyword> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2024-03-15</dct:issued> <owl:sameAs rdf:resource="https://rodare.hzdr.de/record/2764"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://rodare.hzdr.de/record/2764</skos:notation> </adms:Identifier> </adms:identifier> <owl:sameAs rdf:resource="https://www.hzdr.de/publications/Publ-38860"/> <dct:isReferencedBy rdf:resource="https://www.hzdr.de/publications/Publ-38858"/> <dct:isVersionOf rdf:resource="https://doi.org/10.14278/rodare.2763"/> <dct:isPartOf rdf:resource="https://rodare.hzdr.de/communities/oncoray"/> <dct:isPartOf rdf:resource="https://rodare.hzdr.de/communities/rodare"/> <dct:description><p>This repository contains the outputs and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions, which build the foundation for the corresponding article.</p> <p>The Pytorch checkpoint of our finally chosen SegResNet architecture trained on the UPTD dose distributions is located at dd_pbs/Dose-LETd/clip_let_below_0.04/segresnet/all_trainvalid_data/training/lightning_logs/version_6358843/checkpoints/last.ckpt.</p> <p>&nbsp;</p> <p>Moreover, we provide an exemplary data sample from a water phantom for trying our analysis 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