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">2024-06-21</dct:issued> <owl:sameAs rdf:resource="https://rodare.hzdr.de/record/3025"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://rodare.hzdr.de/record/3025</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-39339"/> <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>Moreover, we provide an exemplary data sample from a water phantom for trying our analysis pipeline.</p> <p><strong>Update: </strong></p> <p>In this new version we added results of the gamma analyses and the results obtained when trained on the same data as the above model with the difference that we did not clip Monte-Carlo-simulated LET maps as requested during the review process.</p></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:rights> <dct:RightsStatement rdf:about="https://creativecommons.org/licenses/by/4.0/legalcode"> <rdfs:label>Creative Commons Attribution 4.0 International</rdfs:label> </dct:RightsStatement> </dct:rights> <dcat:accessURL rdf:resource="https://doi.org/10.14278/rodare.3025"/> </dcat:Distribution> 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