Automatic VMAT planning for post-operative prostate cancer cases using particle swarm optimization: A proof of concept study

Kuenzel, Luise A.; Leibfarth, Sara; Dohm, Oliver S.; Mueller, Arndt-Christian; Zips, Daniel; Thorwarth, Daniela

dc.contributor.author	Leibfarth, Sara
dc.contributor.author	Zips, Daniel
dc.contributor.author	Thorwarth, Daniela
dc.contributor.author	Künzel, Luise
dc.contributor.author	Dohm, Oliver Steffen
dc.contributor.author	Müller, Arndt-Christian
dc.date.accessioned	2020-11-03T07:47:08Z
dc.date.available	2020-11-03T07:47:08Z
dc.date.issued	2020
dc.identifier.issn	1724-191X
dc.identifier.uri	http://hdl.handle.net/10900/109079
dc.language.iso	en	de_DE
dc.publisher	Elsevier Sci Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.ejmp.2019.12.007	de_DE
dc.subject.ddc	610	de_DE
dc.title	Automatic VMAT planning for post-operative prostate cancer cases using particle swarm optimization: A proof of concept study	de_DE
dc.type	Article	de_DE
utue.quellen.id	20200715072417_02268
utue.publikation.seiten	101-109	de_DE
utue.personen.roh	Kuenzel, Luise A.
utue.personen.roh	Leibfarth, Sara
utue.personen.roh	Dohm, Oliver S.
utue.personen.roh	Mueller, Arndt-Christian
utue.personen.roh	Zips, Daniel
utue.personen.roh	Thorwarth, Daniela
dcterms.isPartOf.ZSTitelID	Physica Medica - European Journal of Medical Physics	de_DE
dcterms.isPartOf.ZS-Volume	69	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE