ESC 365 - Doctor Marton Tokodi

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Doctor Marton Tokodi

Semmelweis University, Budapest (Hungary)

Member of:

Heart Failure Association

Presentations Articles

External validation of a dual-task deep learning model for the assessment of biventricular systolic function in adults with congenital heart disease

Event: EuroEcho-Imaging 2024

Topic: Congenital Heart Disease

Session: New frontiers in ultrasound technology

Deep learning for the single-view echocardiographic assessment of biventricular ejection fractions: the dual-task EF2Net model

Event: EuroEcho-Imaging 2024

Topic: Technology

Session: Echocardiographic technology: what's new and what can be optimised

Machine learning-based mortality prediction in patients undergoing CRT implantation using the SEMMELWEIS-CRT score: validation in the European CRT survey I database

Event: Heart Failure 2024

Topic: Cardiac Resynchronisation Therapy (CRT)

Session: Arrhythmias & device

Prognostic value of right ventricular mechanical pattern assessed with 3D echocardiography in patients with left-sided heart disease

Event: EACVI - Best of Imaging 2020

Topic: 3D Echocardiography

Session: Live Abstract Presentations - Right ventricular

Pursuing the non-invasive assessment of cardiac contractility: the added value of pressure-area-strain loop analysis in volume overload-induced heart failure

Event: EACVI - Best of Imaging 2020

Topic: Tissue Doppler, Speckle Tracking and Strain Imaging

Session: Young Investigator Award session - Basic Science

Myocardial work of the athlete's heart: the new champion of systolic function?

Event: ESC Congress 2020

Topic: Systolic and Diastolic Function

Session: Myocardial Work by Echocardiography: a New Insight into Left Ventricular Function

Exploring sex-specific patterns of mortality predictors among patients undergoing cardiac resynchronization therapy: A machine learning approach

Event: ESC Congress 2020

Topic: Epidemiology, Prognosis, Outcome

Session: Chronic Heart Failure ePosters

Perioperative shift in right ventricular mechanical pattern in patients undergoing mitral valve surgery: a predictor of right ventricular failure?

Event: ESC Congress 2019

Topic: Mitral Valve Regurgitation

Session: Mitral and tricuspid valve regurgitation: new insights

Survival prediction in patients undergoing cardiac resynchronization therapy: a machine learning based risk stratification system

Event: ESC Congress 2019

Topic: Big Data and Digital Twin

Session: Machine learning - State of the art

ReVISION – Right VentrIcular Separate wall motIon quantificatiON

Event: ESC Congress 2019

Topic: IMAGING

Session: Data Analysis

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