Synergizing Light and Machine Learning to Comprehensively Reveal Coronary Plaque Composition

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Published inJACC. Basic to translational science Vol. 6; no. 12; pp. 961 - 963
Main Authors Osborn, Eric A, Houstis, Nicholas E, Jaffer, Farouc A
Format Journal Article
LanguageEnglish
Published United States Elsevier 01.12.2021
Subjects
Preclinical Research
coronary artery disease
optical coherence tomography
fluorescence lifetime
artificial intelligence
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Author Osborn, Eric A
Houstis, Nicholas E
Jaffer, Farouc A
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Cites_doi 10.1093/eurheartj/ehw097
10.1016/j.jcmg.2021.06.017
10.1016/j.jcmg.2015.11.020
10.1016/j.jcmg.2020.10.004
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Issue 12
Keywords coronary artery disease
optical coherence tomography
fluorescence lifetime
artificial intelligence
Language English
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Editorials published in JACC: Basic to Translational Science reflect the views of the authors and do not necessarily represent the views of JACC: Basic to Translational Science or the American College of Cardiology.
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References Kim (10.1016/j.jacbts.2021.10.016_bib4) 2021; 6
Bec (10.1016/j.jacbts.2021.10.016_bib3) 2021; 14
Ughi (10.1016/j.jacbts.2021.10.016_bib6) 2016; 9
Osborn (10.1016/j.jacbts.2021.10.016_bib5) 2021; 14
Bourantas (10.1016/j.jacbts.2021.10.016_bib2) 2017; 38
References_xml – volume: 6
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Title Synergizing Light and Machine Learning to Comprehensively Reveal Coronary Plaque Composition
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