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Minimalist transcatheter aortic valve replacement: The new standard for surgeons and cardiologists using transfemoral access? Predictors and Clinical Outcomes of Next-Day Discharge After Minimalist Transfemoral Transcatheter Aortic Valve Replacement Burden of Cardiovascular Diseases in China, 1990-2016: Findings From the 2016 Global Burden of Disease Study Longitudinal Assessment of Vascular Function With Sunitinib in Patients With Metastatic Renal Cell Carcinoma Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: a meta-analysis Coronary calcification in the diagnosis of coronary artery disease Impaired Retinal Microvascular Function Predicts Long-Term Adverse Events in Patients with Cardiovascular Disease From Detecting the Vulnerable Plaque to Managing the Vulnerable Patient CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning Prior Balloon Valvuloplasty Versus Direct Transcatheter Aortic Valve Replacement: Results From the DIRECTAVI Trial

Original Research2017 Oct;10(10). p

JOURNAL:Circ Cardiovasc Imaging. Article Link

Machine Learning Approaches in Cardiovascular Imaging

Henglin M, Stein G, Hushcha PV et al. Keywords: algorithms; artificial intelligence; automation; workflow; flow reserve; CMR

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