47 citations · 68 across the 4 of their papers we have counts for
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eess.SP2023★ 5 cited
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG
Theresa Bender, Philip Gemke, Ennio Idrobo-Avila +3
Electrocardiography analysis is widely used in various clinical applications and Deep Learning models for classification tasks are currently in the focus of research. Due to their…
eess.SP2022★ 47 cited
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria
Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting +5
Despite their remarkable performance, deep neural networks remain unadopted in clinical practice, which is considered to be partially due to their lack in explainability. In this w…