Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm ; day:4 ; month:3 ; year:2024 ; pages:1-9
Journal of imaging informatics in medicine ; (4.3.2024), 1-9
- Creator
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Dreesen, H. J. H.
Stroszczynski, C.
Lell, M. M.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s10278-024-01033-w
- URN
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urn:nbn:de:101:1-2405080943563.357095488524
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:50 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dreesen, H. J. H.
- Stroszczynski, C.
- Lell, M. M.
- SpringerLink (Online service)
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Deep Learning-based Grading of Coronary Artery Disease from Coronary CT Angiography Scans
Optimizing coronary computed tomography angiography using a novel deep learning-based algorithm
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A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images
Coronary computed tomography angiography for clinical practice
Detection of relevant extracardiac findings on coronary computed tomography angiography vs. invasive coronary angiography
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Computed tomography coronary angiography in patients with acute myocardial infarction and normal invasive coronary angiography
Clinical Relevance of Coronary Computed Tomography Angiography Beyond Coronary Artery Stenosis
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Congenital coronary anomalies detected by coronary computed tomography compared to invasive coronary angiography
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