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 | 46 | 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 | 4 | 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 | 4 | 2020 |
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 | 4 | 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 | 2 | 2019 |
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 | 1 | 2022 |
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 | 1 | 2021 |
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 | 1 | 2021 |
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 | | 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 | | 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 | | |