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Machine Learning Approaches in Cardiovascular Imaging Heart Failure With Mid-Range (Borderline) Ejection Fraction: Clinical Implications and Future Directions Outcomes of procedural complications in transfemoral transcatheter aortic valve replacement Two-year outcomes following unprotected left main stenting with first vs new-generation drug-eluting stents: the FINE registry. EuroIntervention. Gender Differences in Transfemoral Transcatheter Aortic Valve Replacement Non-obstructive High-Risk Plaques Increase the Risk of Future Culprit Lesions Comparable to Obstructive Plaques Without High-Risk Features: The ICONIC Study Contemporary Presentation and Management of Valvular Heart Disease: The EURObservational Research Programme Valvular Heart Disease II Survey Impact of intravascular ultrasound on the long-term clinical outcomes in the treatment of coronary ostial lesions

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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