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2020 – today
- 2023
[c6]Marc Goettling, Richard Hohmuth
, Franz Ehrlich, Hannes Ernst, Alexander Hammer, Matthieu Scherpf, Martin Schmidt:
Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based Approach. CinC 2023: 1-4- 2022
- [c5]Matthieu Scherpf, Hagen Malberg, Martin Schmidt:
Improved Pulse Pressure Estimation Based on Imaging Photoplethysmographic Signals. CinC 2022: 1-4 - 2021
- [j2]Hannes Ernst, Matthieu Scherpf, Hagen Malberg, Martin Schmidt:
Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography. Biomed. Signal Process. Control. 68: 102644 (2021) - [c4]Alexander Hammer, Matthieu Scherpf, Hannes Ernst, Jonas Weiß, Daniel Schwensow, Martin Schmidt:
Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature Extraction. CinC 2021: 1-4 - [c3]Matthieu Scherpf, Hannes Ernst, Leo Misera, Hagen Malberg, Martin Schmidt:
Skin Segmentation for Imaging Photoplethysmography Using a Specialized Deep Learning Approach. CinC 2021: 1-4 - 2020
- [c2]Matthieu Scherpf, Hannes Ernst, Hagen Malberg, Martin Schmidt:
DeepPerfusion: Camera-based Blood Volume Pulse Extraction Using a 3D Convolutional Neural Network. CinC 2020: 1-4
2010 – 2019
- 2019
- [j1]Matthieu Scherpf, Felix Gräßer, Hagen Malberg, Sebastian Zaunseder:
Predicting sepsis with a recurrent neural network using the MIMIC III database. Comput. Biol. Medicine 113 (2019) - [c1]Matthieu Scherpf, Miriam Goldammer, Hagen Malberg, Felix Gräßer:
Sepsis Onset Prediction Applying a Stacked Combination of a Recurrent Neural Network and a Gradient Boosted Machine. CinC 2019: 1-4
Coauthor Index
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