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- Q92887531 description "article scientifique publié en 2020" @default.
- Q92887531 description "artículu científicu espublizáu en xineru de 2020" @default.
- Q92887531 description "im Januar 2020 veröffentlichter wissenschaftlicher Artikel" @default.
- Q92887531 description "scientific article published on 13 January 2020" @default.
- Q92887531 description "wetenschappelijk artikel" @default.
- Q92887531 description "наукова стаття, опублікована 13 січня 2020" @default.
- Q92887531 name "Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy" @default.
- Q92887531 name "Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy" @default.
- Q92887531 type Item @default.
- Q92887531 label "Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy" @default.
- Q92887531 label "Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy" @default.
- Q92887531 prefLabel "Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy" @default.
- Q92887531 prefLabel "Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy" @default.
- Q92887531 P1433 Q92887531-7FC68DE5-6D72-4983-9D22-C1452521EBFF @default.
- Q92887531 P1476 Q92887531-01A1A381-7078-4868-ABFA-61AC954B0AAB @default.
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- Q92887531 P2093 Q92887531-5EABC586-41DD-4CD3-9D94-0015903F04F1 @default.
- Q92887531 P2093 Q92887531-743B93F5-E7EA-4BC5-9E0E-C9B1C2D7ABDA @default.
- Q92887531 P2093 Q92887531-79B012AD-8D77-4C5D-98EC-9C6C24B8AA49 @default.
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- Q92887531 P2093 Q92887531-B1CEDF1B-7C9B-47E8-A386-31BE3492004F @default.
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- Q92887531 P2093 Q92887531-FFBCB88B-EA91-400E-B226-F3FC8046CE15 @default.
- Q92887531 P31 Q92887531-133E1588-DCA4-4FF0-B534-261A72B33E1D @default.
- Q92887531 P356 Q92887531-C04FB0B0-4D71-4B24-9228-FA034ECEF490 @default.
- Q92887531 P50 Q92887531-4D433C30-07F1-4F46-B7D1-B231E7264E8A @default.
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- Q92887531 P921 Q92887531-526C57B4-B33A-4114-BAA2-CB64DA18882D @default.
- Q92887531 P356 J.JCCT.2020.01.002 @default.
- Q92887531 P698 31974008 @default.
- Q92887531 P1433 Q15817837 @default.
- Q92887531 P1476 "Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy" @default.
- Q92887531 P2093 "Adam Bakula" @default.
- Q92887531 P2093 "Aju P Pazhenkottil" @default.
- Q92887531 P2093 "Aleksandra Sustar" @default.
- Q92887531 P2093 "Catherine Gebhard" @default.
- Q92887531 P2093 "Dominik C Benz" @default.
- Q92887531 P2093 "Elia von Felten" @default.
- Q92887531 P2093 "Georgios Benetos" @default.
- Q92887531 P2093 "Ken Kudura" @default.
- Q92887531 P2093 "Michael Messerli" @default.
- Q92887531 P2093 "Philipp A Kaufmann" @default.
- Q92887531 P2093 "Ronny R Buechel" @default.
- Q92887531 P2093 "Tobias A Fuchs" @default.
- Q92887531 P31 Q13442814 @default.
- Q92887531 P356 "10.1016/J.JCCT.2020.01.002" @default.
- Q92887531 P50 Q92142659 @default.
- Q92887531 P577 "2020-01-13T00:00:00Z" @default.
- Q92887531 P698 "31974008" @default.
- Q92887531 P921 Q1024492 @default.