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Mr Georgios-Eleftherios Kalykakis

Academy of Athens Biomedical Research Foundation, Athens (Greece)

Radiomics-based analysis by machine learning techniques improves characterization of functionally significant coronary lesions

Event: ESC Congress 2022

Topic: Plaque Imaging

Session: New horizons in plaque imaging

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CCTA-derived functional and morphological features and their comparative performance in predicting impaired coronary vasodilatation by PET-myocardial perfusion imaging.

Event: EACVI - Best of Imaging 2020

Topic: Coronary Computed Tomography Angiography (Coronary CTA, CCTA)

Session: Live Abstract Presentations - Computed tomography

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Relationship between endothelial shear stress, plaque burden and stenosis severity and their comparative performance in predicting impaired coronary vasodilation by pet myocardial perfusion imaging

Event: ESC Congress 2020

Topic: Coronary Computed Tomography Angiography (Coronary CTA, CCTA)

Session: Computed Tomography ePosters

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Coronary CT angiography derived features for predicting an abnormal pet myocardial perfusion imaging: a machine learning approach

Event: ESC Congress 2020

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: e-Cardiology / Digital Health ePosters

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Assessment of endothelial shear stress and functional significance of coronary lesions by computed tomography coronary angiography (CTCA) and computational fluid dynamics: a comparison with PET

Event: ESC Congress 2019

Topic: Coronary Circulation, Flow, and Flow Reserve

Session: Coronary microcirculation

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