How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography:
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2023
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| Online-Zugang: | Volltext Volltext Volltext |
| Beschreibung: | 1 Online-Ressource |
Internformat
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Datensatz im Suchindex
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| author | Denzinger, Felix Wels, Michael Breininger, Katharina Taubmann, Oliver Mühlberg, Alexander Allmendinger, Thomas Gülsün, Mehmet A. Schöbinger, Max André, Florian Buss, Sebastian J. Görich, Johannes Sühling, Michael Maier, Andreas |
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| spelling | Denzinger, Felix Verfasser aut How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography Felix Denzinger, Michael Wels, Katharina Breininger, Oliver Taubmann, Alexander Mühlberg, Thomas Allmendinger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2023 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Wels, Michael Verfasser aut Breininger, Katharina Verfasser aut Taubmann, Oliver Verfasser aut Mühlberg, Alexander Verfasser aut Allmendinger, Thomas Verfasser aut Gülsün, Mehmet A. Verfasser aut Schöbinger, Max Verfasser aut André, Florian Verfasser aut Buss, Sebastian J. Verfasser aut Görich, Johannes Verfasser aut Sühling, Michael Verfasser aut Maier, Andreas Verfasser aut Sonderdruck aus Scientific Reports Vol. 13 (2023) 10.1038/s41598-023-29347-9 https://open.fau.de/handle/openfau/31558 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2409101407379.957303680976 Resolving-System kostenfrei Volltext https://d-nb.info/1341517896/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext 1\p emakn 0,13136 20240911 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,66825 20240911 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20240910 DE-101 https://d-nb.info/provenance/plan#npi |
| spellingShingle | Denzinger, Felix Wels, Michael Breininger, Katharina Taubmann, Oliver Mühlberg, Alexander Allmendinger, Thomas Gülsün, Mehmet A. Schöbinger, Max André, Florian Buss, Sebastian J. Görich, Johannes Sühling, Michael Maier, Andreas How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography |
| title | How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography |
| title_auth | How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography |
| title_exact_search | How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography |
| title_full | How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography Felix Denzinger, Michael Wels, Katharina Breininger, Oliver Taubmann, Alexander Mühlberg, Thomas Allmendinger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier |
| title_fullStr | How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography Felix Denzinger, Michael Wels, Katharina Breininger, Oliver Taubmann, Alexander Mühlberg, Thomas Allmendinger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier |
| title_full_unstemmed | How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography Felix Denzinger, Michael Wels, Katharina Breininger, Oliver Taubmann, Alexander Mühlberg, Thomas Allmendinger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier |
| title_short | How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography |
| title_sort | how scan parameter choice affects deep learning based coronary artery disease assessment from computed tomography |
| url | https://open.fau.de/handle/openfau/31558 https://nbn-resolving.org/urn:nbn:de:101:1-2409101407379.957303680976 https://d-nb.info/1341517896/34 |
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