Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives

DSpace Repositorium (Manakin basiert)

Zur Kurzanzeige

dc.contributor.author Thorwarth, Daniela
dc.date.accessioned 2021-11-23T10:56:01Z
dc.date.available 2021-11-23T10:56:01Z
dc.date.issued 2021
dc.identifier.issn 1724-191X
dc.identifier.uri http://hdl.handle.net/10900/120969
dc.language.iso en de_DE
dc.publisher Elsevier Sci Ltd de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.ejmp.2021.05.010 de_DE
dc.subject.ddc 610 de_DE
dc.title Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives de_DE
dc.type Article de_DE
utue.quellen.id 20210824232002_01330
utue.publikation.seiten 175-191 de_DE
utue.personen.roh Cusumano, Davide
utue.personen.roh Boldrini, Luca
utue.personen.roh Dhont, Jennifer
utue.personen.roh Fiorino, Claudio
utue.personen.roh Green, Olga
utue.personen.roh Gungor, Gorkem
utue.personen.roh Jornet, Nuria
utue.personen.roh Klueter, Sebastian
utue.personen.roh Landry, Guillaume
utue.personen.roh Mattiucci, Gian Carlo
utue.personen.roh Placidi, Lorenzo
utue.personen.roh Reynaert, Nick
utue.personen.roh Ruggieri, Ruggero
utue.personen.roh Tanadini-Lang, Stephanie
utue.personen.roh Thorwarth, Daniela
utue.personen.roh Yadav, Poonam
utue.personen.roh Yang, Yingli
utue.personen.roh Valentini, Vincenzo
utue.personen.roh Verellen, Dirk
utue.personen.roh Indovina, Luca
dcterms.isPartOf.ZSTitelID Physica Medica - European Journal of Medical Physics de_DE
dcterms.isPartOf.ZS-Volume 85 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

Das Dokument erscheint in:

Zur Kurzanzeige