TY  - GEN
AU  - Coenen,Adriaan
AU  - Kim,Young-Hak
AU  - Kruk,Mariusz
AU  - Tesche,Christian
AU  - De Geer,Jakob
AU  - Kurata,Akira
AU  - Lubbers,Marisa L
AU  - Daemen,Joost
AU  - Itu,Lucian
AU  - Rapaka,Saikiran
AU  - Sharma,Puneet
AU  - Schwemmer,Chris
AU  - Persson,Anders
AU  - Schoepf,U Joseph
AU  - Kepka,Cezary
AU  - Hyun Yang,Dong
AU  - Nieman,Koen
TI  - Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium
SN  - 1942-0080
PY  - 2019///0812
KW  - Aged
KW  - Asia
KW  - Computed Tomography Angiography
KW  - methods
KW  - Coronary Angiography
KW  - Coronary Artery Disease
KW  - diagnostic imaging
KW  - Coronary Stenosis
KW  - Coronary Vessels
KW  - Deep Learning
KW  - Europe
KW  - Female
KW  - Fractional Flow Reserve, Myocardial
KW  - Humans
KW  - Male
KW  - Middle Aged
KW  - Predictive Value of Tests
KW  - Prospective Studies
KW  - Radiographic Image Interpretation, Computer-Assisted
KW  - Reproducibility of Results
KW  - Retrospective Studies
KW  - Severity of Illness Index
KW  - United States
N1  - Publication Type: Comparative Study; Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't
UR  - https://doi.org/10.1161/CIRCIMAGING.117.007217
ER  -