Echo2Pheno: a deep-learning application to uncover echocardiographic phenotypes in conscious mice.
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| Title: | Echo2Pheno: a deep-learning application to uncover echocardiographic phenotypes in conscious mice. |
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| Authors: | Bukas C; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, Germany., Galter I; Institute of Experimental Genetics, German Research Center for Environmental Health, Neuherberg, Germany., da Silva-Buttkus P; Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany., Fuchs H; Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany., Maier H; Institute of Experimental Genetics, German Research Center for Environmental Health, Neuherberg, Germany., Gailus-Durner V; Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany., Müller CL; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, Germany.; Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.; Department of Statistics, LMU München, Munich, Germany.; Center for Computational Mathematics, Flatiron Institute, New York, USA., Hrabě de Angelis M; Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany. martin.hrabedeangelis@helmholtz-munich.de.; Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Freising, Germany. martin.hrabedeangelis@helmholtz-munich.de.; German Center for Diabetes Research (DZD), Neuherberg, Germany. martin.hrabedeangelis@helmholtz-munich.de., Piraud M; Helmholtz AI, Helmholtz Zentrum München, Neuherberg, Germany., Spielmann N; Institute of Experimental Genetics, German Mouse Clinic, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany. |
| Source: | Mammalian genome : official journal of the International Mammalian Genome Society [Mamm Genome] 2023 Jun; Vol. 34 (2), pp. 200-215. Date of Electronic Publication: 2023 May 23. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: United States NLM ID: 9100916 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1777 (Electronic) Linking ISSN: 09388990 NLM ISO Abbreviation: Mamm Genome Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1777 |
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| DOI: | 10.1007/s00335-023-09996-x |
