Márton Tokodi

Semmelweis University

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Articles (20)

Collaborators (8)

Attila Kovács

Assistant Professor, Director, Echocardiography Laboratory

Semmelweis University

Annamária Kosztin

Semmelweis University

Shinsuke Yuasa

Gunma University Graduate School of Medicine

Cecilia LInde

Karolinska University Hospital

András Horváth

CLAUDIA BARATTO

Istituto Auxologico Italiano

Máté Babity

Semmelweis University

Janos Paloczi

assistant professor

Louisiana State University Health Sciences Center

UNITED STATES

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Márton Tokodi

Research Interests

Explore related searches

Contact this professor

Articles (20)

Collaborators (8)

Attila Kovács

Annamária Kosztin

Shinsuke Yuasa

Cecilia LInde

András Horváth

CLAUDIA BARATTO

Máté Babity

Janos Paloczi

Make your next move.

Márton Tokodi

Research Interests

Explore related searches

Contact this professor

Articles (20)

PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation

Deep learning-enabled echocardiographic assessment of biventricular ejection fractions: the dual-task QUEST-EF model

From Promise to Practice

Addendum to: A machine learning framework for performing binary classification on tabular biomedical data

Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis

Reinventing 3D echocardiography: could AI-powered 3D reconstruction from 2D echocardiographic views serve as a viable alternative to 3D probes?

Deep Learning–Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation

Machine learning-based prediction of 1-year all-cause mortality in patients undergoing CRT implantation: validation of the SEMMELWEIS-CRT score in the European CRT Survey I dataset

Artificial intelligence-enabled reconstruction of the right ventricular pressure curve using the peak pressure value: a proof-of-concept study

Should We Let AI-ECG Algorithms Take Over the Grading of Diastolic Dysfunction in Mitral Regurgitation?

A machine learning framework for performing binary classification on tabular biomedical data

Association of Right Ventricular Functional Parameters With Adverse Cardiopulmonary Outcomes: A Meta-analysis

Reviving the origins: acoustic biomarkers of heart failure with preserved ejection fraction

PCSK9, A Promising Novel Target for Age-Related Cardiovascular Dysfunction

Deep Learning-Based Prediction of Right Ventricular Ejection Fraction Using 2D Echocardiograms

Cardiopulmonary examinations of athletes returning to high-intensity sport activity following SARS-CoV-2 infection

Cardiorespiratory fitness status of elite handball referees in Hungary

Prosthesis-Patient Mismatch After TAVR: The New Flow of Information.

Contraction patterns of the systemic right ventricle: a three-dimensional echocardiography study

Biventricular mechanical pattern of the athlete’s heart: comprehensive characterization using three-dimensional echocardiography

Collaborators (8)

Attila Kovács

Annamária Kosztin

Shinsuke Yuasa

Cecilia LInde

András Horváth

CLAUDIA BARATTO

Máté Babity

Janos Paloczi

Make your next move.