| Predicting sepsis with a recurrent neural network using the MIMIC III database M Scherpf, F Gräßer, H Malberg, S Zaunseder Computers in biology and medicine 113, 103395, 2019 | 114 | 2019 |
| Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography H Ernst, M Scherpf, H Malberg, M Schmidt Biomedical Signal Processing and Control 68, 102644, 2021 | 20 | 2021 |
| Pulse arrival time-A sensitive vital parameter for the detection of mental stress H Ernst, M Scherpf, H Malberg, M Schmidt Current Directions in Biomedical Engineering 7 (2), 419-422, 2021 | 8 | 2021 |
| Deepperfusion: Camera-based blood volume pulse extraction using a 3d convolutional neural network M Scherpf, H Ernst, H Malberg, M Schmidt 2020 Computing in Cardiology, 1-4, 2020 | 7 | 2020 |
| Camera-based assessment of cutaneous perfusion strength in a clinical setting A Hammer, M Scherpf, M Schmidt, H Ernst, H Malberg, K Matschke, ... Physiological Measurement 43 (2), 025007, 2022 | 6 | 2022 |
| Skin segmentation for imaging photoplethysmography using a specialized deep learning approach M Scherpf, H Ernst, L Misera, H Malberg, M Schmidt 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 6 | 2021 |
| Assessment of the human response to acute mental stress–An overview and a multimodal study H Ernst, M Scherpf, S Pannasch, JR Helmert, H Malberg, M Schmidt Plos one 18 (11), e0294069, 2023 | 5 | 2023 |
| Topical negative pressure wound therapy enhances the local tissue perfusion–A pilot study O Bota, J Martin, A Hammer, M Scherpf, K Matschke, A Dragu, H Malberg Microvascular Research 140, 104301, 2022 | 5 | 2022 |
| Automatic classification of full-and reduced-lead electrocardiograms using morphological feature extraction A Hammer, M Scherpf, H Ernst, J Weiß, D Schwensow, M Schmidt 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 5 | 2021 |
| Color spaces and regions of interest in camera based heart rate estimation H Ernst, M Scherpf, H Malberg, M Schmidt 2020 11th Conference of the European Study Group on Cardiovascular …, 2020 | 5 | 2020 |
| Sepsis onset prediction applying a stacked combination of a recurrent neural network and a gradient boosted machine M Scherpf, M Goldammer, H Malberg, F Gräßer 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 3 | 2019 |
| Needs-and user-oriented development of contactless camera-based telemonitoring in heart disease–Results of an acceptance survey from the Home-based Healthcare Project … P Borchers, D Pfisterer, M Scherpf, K Voigt, A Bergmann Plos one 18 (3), e0282527, 2023 | 1 | 2023 |
| Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based Approach M Goettling, R Hohmuth, F Ehrlich, H Ernst, A Hammer, M Scherpf, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Improved Pulse Pressure Estimation Based on Imaging Photoplethysmographic Signals M Scherpf, H Malberg, M Schmidt 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | | 2022 |
| Patientenseitige Akzeptanz einer kontaktlosen Messtechnik zur Vitalparametererfassung innerhalb einer telemedizinischen Anwendung P Borchers, K Voigt, D Pfisterer, M Scherpf, A Bergmann Das Gesundheitswesen 83 (08/09), [154], 2021 | | 2021 |
| Patient-side Acceptance of contactless Measurement Technology for Recording Vital Parameters within a telemedical Application AP Borchers, K Voigt, D Pfisterer, M Scherpf, A Bergmann GESUNDHEITSWESEN 83 (08/09), 677-678, 2021 | | 2021 |
| Automatic Classification of 2-, 3-, 4-, 6-, and 12-Lead Electocardiograms Using Morphological Feature Extraction A Hammer, M Scherpf, H Ernst, J Weiß, D Schwensow, M Schmidt | | |
