Application of deep learning-based super-resolution to T1-weighted postcontrast gradient echo imaging of the chest

Maennlin, Simon; Wessling, Daniel; Herrmann, Judith; Almansour, Haidara; Nickel, Dominik; Kannengiesser, Stephan; Afat, Saif; Gassenmaier, Sebastian

dc.contributor.author	Wessling, Daniel
dc.contributor.author	Herrmann, Judith
dc.contributor.author	Almansour, Haidara
dc.contributor.author	Afat, Saif
dc.contributor.author	Gassenmaier, Sebastian
dc.contributor.author	Männlin, Simon Johannes
dc.date.accessioned	2023-10-09T07:27:07Z
dc.date.available	2023-10-09T07:27:07Z
dc.date.issued	2023
dc.identifier.issn	0033-8362
dc.identifier.uri	http://hdl.handle.net/10900/146075
dc.language.iso	en	de_DE
dc.publisher	Springer - Verlag Italia Srl	de_DE
dc.relation.uri	http://dx.doi.org/10.1007/s11547-022-01587-1	de_DE
dc.subject.ddc	610	de_DE
dc.title	Application of deep learning-based super-resolution to T1-weighted postcontrast gradient echo imaging of the chest	de_DE
dc.type	Article	de_DE
utue.quellen.id	20230619000000_01593
utue.publikation.seiten	184-190	de_DE
utue.personen.roh	Maennlin, Simon
utue.personen.roh	Wessling, Daniel
utue.personen.roh	Herrmann, Judith
utue.personen.roh	Almansour, Haidara
utue.personen.roh	Nickel, Dominik
utue.personen.roh	Kannengiesser, Stephan
utue.personen.roh	Afat, Saif
utue.personen.roh	Gassenmaier, Sebastian
dcterms.isPartOf.ZSTitelID	Radiologia Medica	de_DE
dcterms.isPartOf.ZS-Issue	2	de_DE
dcterms.isPartOf.ZS-Volume	128	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE