Universität zu Köln

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:	Article
Creators:	Creators Email ORCID ORCID Put Code Dratsch, Thomas UNSPECIFIED https://orcid.org/0000-0003-4014-7763 UNSPECIFIED Siedek, Florian UNSPECIFIED https://orcid.org/0000-0001-7144-2680 UNSPECIFIED Zäske, Charlotte UNSPECIFIED UNSPECIFIED UNSPECIFIED Sonnabend, Kristina UNSPECIFIED UNSPECIFIED UNSPECIFIED Rauen, Philip UNSPECIFIED UNSPECIFIED UNSPECIFIED Terzis, Robert UNSPECIFIED https://orcid.org/0009-0007-1068-8477 UNSPECIFIED Hahnfeldt, Robert UNSPECIFIED https://orcid.org/0000-0001-7997-3216 UNSPECIFIED Maintz, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Persigehl, Thorsten UNSPECIFIED UNSPECIFIED UNSPECIFIED Bratke, Grischa UNSPECIFIED https://orcid.org/0000-0002-5696-9828 UNSPECIFIED Iuga, Andra-Iza UNSPECIFIED https://orcid.org/0000-0002-3694-0235 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-781945
Identification Number:	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
['eprint_fieldname_oa_funders' not defined]:	OAPK DFG 2022-2024
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/78194