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dc.contributor.authorLang, Yankun
dc.contributor.authorRodrigues, Dario
dc.contributor.authorRen, Lei
dc.date.accessioned2024-05-15T17:06:14Z
dc.date.available2024-05-15T17:06:14Z
dc.date.issued2024-04-26
dc.identifier.urihttp://hdl.handle.net/10713/22084
dc.description2nd Annual Department of Radiation Oncology Research Symposium. April 26, 2024.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectspecific absorption rateen_US
dc.subject.meshAlgorithmsen_US
dc.subject.meshDeep Learningen_US
dc.subject.meshHyperthermia, Induceden_US
dc.titleAutomatic Specific Absorption Rate (SAR) Prediction for Hyperthermia Treatment Planning (HTP) Using Deep Learning Methoden_US
dc.typePoster/Presentationen_US
refterms.dateFOA2024-05-15T17:06:15Z


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International