189 citations · 234 across the 6 of their papers we have counts for
3 papers · 1 filter
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata
Temesgen Mehari, Nils Strodthoff
Deep learning has emerged as the preferred modeling approach for automatic ECG analysis. In this study, we investigate three elements aimed at improving the quantitative accuracy o…
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp +1
Deep neural networks have become increasingly popular for analyzing ECG data because of their ability to accurately identify cardiac conditions and hidden clinical factors. However…
ECG Feature Importance Rankings: Cardiologists vs. Algorithms
Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic +7
Feature importance methods promise to provide a ranking of features according to importance for a given classification task. A wide range of methods exist but their rankings often…