Dratsch, Thomas ORCID: 0000-0003-4014-7763, Siedek, Florian ORCID: 0000-0001-7144-2680, Zäske, Charlotte, Sonnabend, Kristina, Rauen, Philip, Terzis, Robert ORCID: 0009-0007-1068-8477, Hahnfeldt, Robert ORCID: 0000-0001-7997-3216, Maintz, David, Persigehl, Thorsten, Bratke, Grischa ORCID: 0000-0002-5696-9828 and Iuga, Andra-Iza ORCID: 0000-0002-3694-0235 (2023). Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers. European Radiology Experimental, 7 (1). p. 66. Springer Nature. ISSN 2509-9280

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Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Dratsch, ThomasUNSPECIFIEDorcid.org/0000-0003-4014-7763UNSPECIFIED
Siedek, FlorianUNSPECIFIEDorcid.org/0000-0001-7144-2680UNSPECIFIED
Zäske, CharlotteUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sonnabend, KristinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rauen, PhilipUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Terzis, RobertUNSPECIFIEDorcid.org/0009-0007-1068-8477UNSPECIFIED
Hahnfeldt, RobertUNSPECIFIEDorcid.org/0000-0001-7997-3216UNSPECIFIED
Maintz, DavidUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Persigehl, ThorstenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bratke, GrischaUNSPECIFIEDorcid.org/0000-0002-5696-9828UNSPECIFIED
Iuga, Andra-IzaUNSPECIFIEDorcid.org/0000-0002-3694-0235UNSPECIFIED
URN: urn:nbn:de:hbz:38-781945
DOI: 10.1186/s41747-023-00377-2
Journal or Publication Title: European Radiology Experimental
Volume: 7
Number: 1
Page Range: p. 66
Date: 2023
Publisher: Springer Nature
ISSN: 2509-9280
Language: English
Faculty: Faculty of Medicine
Divisions: Faculty of Medicine > Radiologische Diagnostik > Institut und Poliklinik für Radiologische Diagnostik
Subjects: Medical sciences Medicine
Open access funding: OAPK DFG 2022-2024
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/78194

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