Development of deep learning pipeline for direct observation of wall motion abnormality from 4DCT
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Reference36 articles.
1. The value of echocardiographic regional wall motion abnormalities in detecting coronary artery disease in patients with or without a dilated left ventricle
2. Usefulness of the severity and extent of wall motion abnormalities as prognostic markers of an adverse outcome after a first myocardial infarction treated with thrombolytic therapy
3. Prevalence and Prognostic Significance of Wall-Motion Abnormalities in Adults Without Clinically Recognized Cardiovascular Disease
4. A prospective comparison of echocardiographic wall motion score index and radionuclide ejection fraction in predicting outcome following acute myocardial infarction
5. Superiority of wall motion score index over left ventricle ejection fraction in predicting cardiovascular events after an acute myocardial infarction
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1. Detection of left ventricular wall motion abnormalities from volume rendering of 4DCT cardiac angiograms using deep learning;Frontiers in Cardiovascular Medicine;2022-07-28
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