A Privacy Preserving Approach to Feasibility Analyses on Distributed Data Sources in Biomedical Research. - Heiko Scheel; Henning Dathe; Thomas Franke; Tabea Scharfe; Thorsten Rottmann (GMDS, 2019)

Quantifying Alterations Over Time in ST-Segment/T-Wave Amplitudes During Elective Percutaneous Coronary Intervention. - Philip Hempel; Theresa Bender; Ennio Idrobo-Ávila; Henning Dathe; Dagmar Krefting; Tim Kacprowski; Nicolai Spicher (CinC, 2023)

Benchmarking the Impact of Noise on Deep Learning-Based Classification of Atrial Fibrillation in 12-Lead ECG. - Theresa Bender; Philip Gemke; Ennio Idrobo-Ávila; Henning Dathe; Dagmar Krefting; Nicolai Spicher (MIE, 2023)

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; Carolin Müller; Henning Dathe; Tim Seidler; Nicolai Spicher; Anne-Christin Hauschild (IEEE J. Biomed. Health Informatics, 2024)