176 citations · 467 across the 10 of their papers we have counts for
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eess.SP2023★ 1 cited
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…
physics.med-ph2023★ 1 cited
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…