5 citations · 6 across the 2 of their papers we have counts for
2 papers
eess.IV2025★ 1 cited
Deep Learning Pipeline for Fully Automated Myocardial Infarct Segmentation from Clinical Cardiac MR Scans
Matthias Schwab, Mathias Pamminger, Christian Kremser +2
Purpose: To develop and evaluate a deep learning-based method that allows to perform myocardial infarct segmentation in a fully-automated way. Materials and Methods: For this retro…
eess.IV2023★ 5 cited
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
Matthias Schwab, Mathias Pamminger, Christian Kremser +3
Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is considered the in vivo reference standard for assessing infarct size (IS) and microvascular obstructio…