Optical coherence tomography-based machine learning for predicting fractional flow reserve in intermediate coronary stenosis: a feasibility study
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Optical coherence tomography-based machine learning for predicting fractional flow reserve in intermediate coronary stenosis: a feasibility study ; volume:10 ; number:1 ; day:24 ; month:11 ; year:2020 ; pages:1-8 ; date:12.2020
Scientific reports ; 10, Heft 1 (24.11.2020), 1-8, 12.2020
- Creator
-
Cha, Jung-Joon
Son, Tran Dinh
Ha, Jinyong
Kim, Jung-Sun
Hong, Sung-Jin
Ahn, Chul-Min
Kim, Byeong-Keuk
Ko, Young-Guk
Choi, Donghoon
Hong, Myeong-Ki
Jang, Yangsoo
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1038/s41598-020-77507-y
- URN
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urn:nbn:de:101:1-2020122918284616329105
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
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Associated
- Cha, Jung-Joon
- Son, Tran Dinh
- Ha, Jinyong
- Kim, Jung-Sun
- Hong, Sung-Jin
- Ahn, Chul-Min
- Kim, Byeong-Keuk
- Ko, Young-Guk
- Choi, Donghoon
- Hong, Myeong-Ki
- Jang, Yangsoo
- SpringerLink (Online service)
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