Cardiac function in a large animal model of myocardial infarction at 7 T: deep learning based automatic segmentation increases reproducibility.
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| Title: | Cardiac function in a large animal model of myocardial infarction at 7 T: deep learning based automatic segmentation increases reproducibility. |
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| Authors: | Kollmann, Alena1 (AUTHOR), Lohr, David1 (AUTHOR) Schreiber_L@ukw.de, Ankenbrand, Markus J.2 (AUTHOR), Bille, Maya1 (AUTHOR), Terekhov, Maxim1 (AUTHOR), Hock, Michael1 (AUTHOR), Elabyad, Ibrahim1 (AUTHOR), Baltes, Steffen1 (AUTHOR), Reiter, Theresa1,3 (AUTHOR), Schnitter, Florian3 (AUTHOR), Bauer, Wolfgang R.3 (AUTHOR), Hofmann, Ulrich3 (AUTHOR), Schreiber, Laura M.1 (AUTHOR) |
| Source: | Scientific Reports. 5/14/2024, Vol. 14 Issue 1, p1-15. 15p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 177250354 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=177250354 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-61417-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: Cardiac function in a large animal model of myocardial infarction at 7 T: deep learning based automatic segmentation increases reproducibility. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kollmann, Alena – PersonEntity: Name: NameFull: Lohr, David – PersonEntity: Name: NameFull: Ankenbrand, Markus J. – PersonEntity: Name: NameFull: Bille, Maya – PersonEntity: Name: NameFull: Terekhov, Maxim – PersonEntity: Name: NameFull: Hock, Michael – PersonEntity: Name: NameFull: Elabyad, Ibrahim – PersonEntity: Name: NameFull: Baltes, Steffen – PersonEntity: Name: NameFull: Reiter, Theresa – PersonEntity: Name: NameFull: Schnitter, Florian – PersonEntity: Name: NameFull: Bauer, Wolfgang R. – PersonEntity: Name: NameFull: Hofmann, Ulrich – PersonEntity: Name: NameFull: Schreiber, Laura M. IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 05 Text: 5/14/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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