| A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms P Sodmann, M Vollmer, N Nath, L Kaderali Physiological measurement 39 (10), 104005, 2018 | 98 | 2018 |
| Can supervised learning be used to classify cardiac rhythms? M Vollmer, P Sodmann, L Caanitz, N Nath, L Kaderali 2017 Computing in Cardiology (CinC), 1-4, 2017 | 15 | 2017 |
| ECG segmentation using a neural network as the basis for detection of cardiac pathologies P Sodmann, M Vollmer 2020 Computing in Cardiology, 1-4, 2020 | 7 | 2020 |
| Segment, perceive and classify-multitask learning of the electrocardiogram in a single neural network PF Sodmann, M Vollmer, L Kaderali 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 4 | 2021 |
| Time-specific metalearners for the early prediction of sepsis M Vollmer, CF Luz, P Sodmann, B Sinha, SO Kuhn 2019 Computing in Cardiology (CinC), 1-4, 2019 | 2 | 2019 |
| A convolutional neural network for ECG annotation as the basis for the classification of cardiac rhythms M Vollmer, P Sodmann, N Nath, L Kaderali Ulmer Informatik-Berichte 3 (2), 4, 2019 | 1 | 2019 |
