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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
462019
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
42021
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
42020
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
42020
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
22019
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
12022
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
12021
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
12021
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
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