17 results on '"Hou, Yang"'
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2. Incremental diagnostic value of radiomics signature of pericoronary adipose tissue for detecting functional myocardial ischemia: a multicenter study
3. Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease
4. Influence of diabetes mellitus on the diagnostic performance of machine learning–based coronary CT angiography–derived fractional flow reserve: a multicenter study
5. Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography
6. The prognostic value of late gadolinium enhancement in heart diseases: an umbrella review of meta-analyses of observational studies
7. The effect of coronary calcification on diagnostic performance of machine learning–based CT-FFR: a Chinese multicenter study
8. A radiomic nomogram for prediction of major adverse cardiac events in ST-segment elevation myocardial infarction
9. The influence of image quality on diagnostic performance of a machine learning–based fractional flow reserve derived from coronary CT angiography
10. A new predictor of coronary artery disease in acute ischemic stroke or transient ischemic attack patients: pericarotid fat density
11. Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI
12. Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging
13. Diagnostic accuracy of low-dose 256-slice multi-detector coronary CT angiography using iterative reconstruction in patients with suspected coronary artery disease
14. Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography
15. Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease.
16. The effect of coronary calcification on diagnostic performance of machine learning–based CT-FFR: a Chinese multicenter study
17. A radiomic nomogram for prediction of major adverse cardiac events in ST-segment elevation myocardial infarction
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