Automated estimation of image quality for coronary computed tomographic angiography using machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
http://link.springer.com/article/10.1007/s00330-018-5348-8/fulltext.html
Reference19 articles.
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2. Achenbach S, Moselewski F, Ropers D et al (2004) Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimeter multidetector spiral computed tomography: a segment-based comparison with intravascular ultrasound. Circulation. 109(1):14–17
3. Min JK, Leipsic J, Pencina MJ et al (2012a) Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA. 308(12):1237–1245
4. Douglas PS, Hoffmann U, Patel MR et al (2015) Outcomes of anatomical versus functional testing for coronary artery disease. N Engl J Med. 372(14):1291–1300
5. SCOT-HEART investigators (2015) CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial. Lancet 385(9985):2383–91.
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