Doctor Evangelos K Oikonomou

Doctor Evangelos K Oikonomou

Yale School of Medicine, New Haven (United States of America)

Member of:

I hold a medical degree (M.D., '15) from the University of Athens, Greece and a Ph.D. in Medical Sciences (D.Phil. '20) from the University of Oxford, Oxford, U.K. I am currently training in Internal Medicine/Cardiology at Yale School of Medicine (New Haven, CT, U.S.A) as part of the Physician-Scientist Research Pathway. My research interests include artificial intelligence in biomedical imaging, machine learning, non-invasive cardiovascular imaging and cardio-oncology.

Presentations

Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography

Event: ESC Congress 2023

Topic: Valvular Heart Disease

Session: Advances in diagnosis and risk stratification of valvular heart disease

Access

Standardised quantification of coronary inflammation using cardiac computed tomography: The Fat Attenuation Index Score (FAI-Score)

Event: ESC Preventive Cardiology 2021

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

Session: Young Investigators Award Population Science and Public Health

Access

Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography

Event: ESC Congress 2019

Topic: Plaque Imaging

Session: Young Investigator Award Session Clinical Cardiology

Access

Computed tomography-based perivascular fat phenotyping identifies unstable coronary lesions and active vascular calcification

Event: ESC Congress 2018

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

Session: Young Investigator Award Session Clinical Cardiology

Access

Clinical and biological predictors of early vein graft failure: The SAFINOUS-CABG collaborative group

Event: ESC Congress 2017

Topic: Coronary artery bypass surgery

Session: Cardiovascular surgery

Access

Doctor Evangelos K Oikonomou

Biography

Contributor content

Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography

Standardised quantification of coronary inflammation using cardiac computed tomography: The Fat Attenuation Index Score (FAI-Score)

Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography

Computed tomography-based perivascular fat phenotyping identifies unstable coronary lesions and active vascular calcification

Clinical and biological predictors of early vein graft failure: The SAFINOUS-CABG collaborative group

ESC 365 is supported by