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On the Benefit of Dual-Domain Denoising in a Self-Supervise..:
, In:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
,
Wagner, Fabian
;
Thies, Mareike
;
Pfaff, Laura
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ISBI53787.2023.10230511
RT T1 <cTitle>2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)</cTitle>: T1 <Title>On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10230511&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 YR 2023 SN 1945-8452 K1 Image quality K1 Computed tomography K1 Noise reduction K1 Pipelines K1 Detectors K1 Reconstruction algorithms K1 Image restoration K1 Low-Dose CT K1 Self-Supervised Denoising K1 Known Operator Learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISBI53787.2023.10230511 DO https://doi.org/10.1109/ISBI53787.2023.10230511 SF ELIB - SuUB Bremen
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