Mr Georgios-Eleftherios Kalykakis
Academy of Athens Biomedical Research Foundation, Athens (Greece)
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Presentation
Radiomics-based analysis by machine learning techniques improves characterization of functionally significant coronary lesions
Presentation
CCTA-derived functional and morphological features and their comparative performance in predicting impaired coronary vasodilatation by PET-myocardial perfusion imaging.
Presentation
Relationship between endothelial shear stress, plaque burden and stenosis severity and their comparative performance in predicting impaired coronary vasodilation by pet myocardial perfusion imaging
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Coronary CT angiography derived features for predicting an abnormal pet myocardial perfusion imaging: a machine learning approach
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