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For: Nowak S, Henkel A, Theis M, Luetkens J, Geiger S, Sprinkart AM, Pieper CC, Attenberger UI. Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema. Eur Radiol 2023;33:884-892. [PMID: 35976393 PMCID: PMC9889496 DOI: 10.1007/s00330-022-09047-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/20/2022] [Accepted: 07/21/2022] [Indexed: 02/04/2023]

For:	Nowak S, Henkel A, Theis M, Luetkens J, Geiger S, Sprinkart AM, Pieper CC, Attenberger UI. Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema. Eur Radiol 2023;33:884-892. [PMID: 35976393 PMCID: PMC9889496 DOI: 10.1007/s00330-022-09047-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/20/2022] [Accepted: 07/21/2022] [Indexed: 02/04/2023]

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(The first 100,000 artilces are displayed in RCA.)