Matthieu Scherpf
Matthieu Scherpf
Institute of Biomedical Engineering, TU Dresden
Verified email at tu-dresden.de - Homepage
Title
Cited by
Cited by
Year
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
242019
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
22020
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
12019
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
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
2020
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Articles 1–5