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Researcher
Mahdi Tabassian
- Disciplines:Cardiac and vascular medicine
Affiliations
- Cardiovascular Imaging and Dynamics (Division)
Member
From1 Jan 2016 → 22 Mar 2020
Publications
1 - 10 of 18
- Area of the pressure-strain loop during ejection as non-invasive index of left ventricular performance: a population study(2019)
Authors: Nicholas Cauwenberghs, Mahdi Tabassian, Lutgarde Thijs, Piet Claus, Jan D'hooge, Jan A Staessen, Tatiana Kouznetsova
- Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation(2018)
Authors: Mahdi Tabassian, Alan Fraser, Jan D'hooge
Pages: 1272 - 1284.e9 - Statistical shape modeling of the left ventricle: myocardial infarct classification challenge(2018)
Authors: Peter Claes, Jan D'hooge, Mahdi Tabassian
Pages: 503 - 515 - Machine Learning for Quality Assurance of Myocardial Strain Curves(2018)
Authors: Mahdi Tabassian, Jan D'hooge
Number of pages: 4 - Machine Learning of the Spatio-Temporal Characteristics of Echocardiographic Deformation Curves for Infarct Classification(2017)
Authors: Mahdi Tabassian, Jan D'hooge
Pages: 1159 - 1167 - Handling Missing Strain (Rate) Curves Using K-Nearest Neighbor Imputation(2016)
Authors: Mahdi Tabassian, Jan D'hooge
Pages: 1 - 4 - Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging(2015)
Authors: Mahdi Tabassian, Martino Alessandrini, Nicholas Cauwenberghs, Tatiana Kouznetsova, Jan D'hooge
Pages: 83 - 90 - Automatic detection of ischemic myocardium by spatiotemporal analysis of echocardiographic strain and strain rate curves(2015)
Authors: Mahdi Tabassian, Martino Alessandrini, Lieven Herbots, Jan D'hooge
Number of pages: 4 - Automatic detection of myocardial infarction through a global shape feature based on local statistical modeling(2015)
Authors: Mahdi Tabassian, Peter Claes, Dirk Vandermeulen, Jan D'hooge
Pages: 208 - 216 - A fully automated method for carotid plaques segmentation in ultrasound images based on motion estimation and level-set(2014)
Authors: Mahdi Tabassian
Pages: 2343 - 2346