Mahdi Tabassian

Leuven, VLG, Belgium

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 10 publications

Deep spatiotemporal clutter filtering of transthoracic echocardiographic images: Leveraging contextual attention and residual learning.

Deep spatiotemporal clutter filtering of transthoracic echocardiographic images: Leveraging contextual attention and residual learning.

Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Published: March 26, 2025

BEAS-Net: A Shape-Prior-Based Deep Convolutional Neural Network for Robust Left Ventricular Segmentation in 2-D Echocardiography.

BEAS-Net: A Shape-Prior-Based Deep Convolutional Neural Network for Robust Left Ventricular Segmentation in 2-D Echocardiography.

Journal: IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Published: June 24, 2024

A machine learning framework for the evaluation of myocardial rotation in patients with noncompaction cardiomyopathy.

A machine learning framework for the evaluation of myocardial rotation in patients with noncompaction cardiomyopathy.

Journal: PloS one

Published: March 31, 2021

Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation.

Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation.

Journal: Computer methods and programs in biomedicine

Published: April 24, 2020

Biventricular imaging markers to predict outcomes in non-compaction cardiomyopathy: a machine learning study.

Biventricular imaging markers to predict outcomes in non-compaction cardiomyopathy: a machine learning study.

Journal: ESC heart failure

Published: January 17, 2020

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.

Journal: JACC. Cardiovascular imaging

Published: December 18, 2019

Area of the pressure-strain loop during ejection as non-invasive index of left ventricular performance: a population study.

Area of the pressure-strain loop during ejection as non-invasive index of left ventricular performance: a population study.

Journal: Cardiovascular ultrasound

Published: April 17, 2019

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation.

Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation.

Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

Published: December 19, 2017

Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.

Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.

Journal: IEEE journal of biomedical and health informatics

Published: January 20, 2017

Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

Journal: The international journal of cardiovascular imaging

Published: January 05, 2017

Showing 1-10 of 10

Last Updated: 09/26/2026