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Abstract: Self-supervised CT Dual Domain Denoising using Lo..:
, In:
Bildverarbeitung für die Medizin 2024; Informatik aktuell
,
Wagner, Fabian
;
Thies, Mareike
;
Pfaff, Laura
... - p. 159-159 , 2024
Link:
https://doi.org/10.1007/978-3-658-44037-4_48
RT T1 <cTitle>Bildverarbeitung für die Medizin 2024; Informatik aktuell</cTitle>: T1 <Title>Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-658-44037-4_48&Exemplar=1&LAN=DE A1 Wagner, Fabian A1 Thies, Mareike A1 Pfaff, Laura A1 Aust, Oliver A1 Pechmann, Sabrina A1 Weidner, Daniela A1 Maul, Noah A1 Rohleder, Maximilian A1 Gu, Mingxuan A1 Utz, Jonas A1 Denzinger, Felix A1 Maier, Andreas PB Springer Fachmedien Wiesbaden YR 2024 SP 159 OP 159 LK http://dx.doi.org/https://doi.org/10.1007/978-3-658-44037-4_48 DO https://doi.org/10.1007/978-3-658-44037-4_48 SF ELIB - SuUB Bremen
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