9 citations · 11 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 2 cited
Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model
Abdul Qayyum, Alain Lalande, Thomas Decourselle +3
Cardiac left ventricular (LV) segmentation from short-axis MRI acquired 10 minutes after the injection of a contrast agent (LGE-MRI) is a necessary step in the processing allowing…
cs.CV2019★ 9 cited
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks
Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle +3
Significance: Late gadolinium enhanced magnetic resonance imaging (LGE-MRI) is the gold standard technique for myocardial viability assessment. Although the technique accurately re…