Coenen, Adriaan <br/><br/>
Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.  [electronic resource] 

 -  Circulation. Cardiovascular imaging  06 2018 
 - e007217 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1942-0080 
<br/><br/><label>Standard No.: </label>10.1161/CIRCIMAGING.117.007217  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Aged<br/>Asia<br/>Computed Tomography Angiography--methods<br/>Coronary Angiography--methods<br/>Coronary Artery Disease--diagnostic imaging<br/>Coronary Stenosis--diagnostic imaging<br/>Coronary Vessels--diagnostic imaging<br/>Deep Learning<br/>Europe<br/>Female<br/>Fractional Flow Reserve, Myocardial<br/>Humans<br/>Male<br/>Middle Aged<br/>Predictive Value of Tests<br/>Prospective Studies<br/>Radiographic Image Interpretation, Computer-Assisted--methods<br/>Reproducibility of Results<br/>Retrospective Studies<br/>Severity of Illness Index<br/>United States