Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.
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| Title: | Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR. |
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| Authors: | Beyer, Rebecca Elisabeth1,2,3 (AUTHOR), Hüllebrand, Markus2,3,4,5 (AUTHOR), Doeblin, Patrick1,2,3 (AUTHOR), Laube, Ann2,3,4 (AUTHOR), Müller, Maximilian Leo1,2,3 (AUTHOR), Stehning, Christian6 (AUTHOR), Werhahn, Stefanie Maria1,2,3 (AUTHOR), Chen, Wensu7 (AUTHOR), Hennemuth, Anja2,3,4,5 (AUTHOR), Kelle, Sebastian1,2,3 (AUTHOR) sebastian.kelle@dhzc-charite.de |
| Source: | Scientific Reports. 3/10/2026, Vol. 16 Issue 1, p1-13. 13p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192200612 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192200612 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-026-43624-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Beyer, Rebecca Elisabeth – PersonEntity: Name: NameFull: Hüllebrand, Markus – PersonEntity: Name: NameFull: Doeblin, Patrick – PersonEntity: Name: NameFull: Laube, Ann – PersonEntity: Name: NameFull: Müller, Maximilian Leo – PersonEntity: Name: NameFull: Stehning, Christian – PersonEntity: Name: NameFull: Werhahn, Stefanie Maria – PersonEntity: Name: NameFull: Chen, Wensu – PersonEntity: Name: NameFull: Hennemuth, Anja – PersonEntity: Name: NameFull: Kelle, Sebastian IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 03 Text: 3/10/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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