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

DSpace Repository

Show simple item record

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 Artikel 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


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record