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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/105905
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dc.contributor.authorChang, J.H.-
dc.contributor.authorGehrke, C.-
dc.contributor.authorPrabhakar, R.-
dc.contributor.authorGill, S.-
dc.contributor.authorWada, M.-
dc.contributor.authorLim Joon, D.-
dc.contributor.authorKhoo, V.-
dc.date.issued2016-
dc.identifier.citationPhysica Medica: an international journal devoted to the applications of physics to medicine and biology, 2016; 32(1):248-254-
dc.identifier.issn1120-1797-
dc.identifier.issn1724-191X-
dc.identifier.urihttp://hdl.handle.net/2440/105905-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityJoe H. Chang, Christopher Gehrke, Ramachandran Prabhakar, Suki Gill, Morikatsu Wada, Daryl Lim Joon, Vincent Khoo-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2015 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.ejmp.2015.10.091-
dc.subjectBiological modelling; Radiotherapy plan evaluation; Tumour control probability; Normal tissue complication probability-
dc.titleRADBIOMOD: A simple program for utilising biological modelling in radiotherapy plan evaluation-
dc.typeJournal article-
dc.identifier.doi10.1016/j.ejmp.2015.10.091-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 7
Medicine publications

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