Matthieu Scherpf

According to our database, Matthieu Scherpf authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based Approach.

Marc Goettling, Richard Hohmuth, Franz Ehrlich, Hannes Ernst, Alexander Hammer, Matthieu Scherpf, Martin Schmidt

Proceedings of the Computing in Cardiology, 2023

2022

Improved Pulse Pressure Estimation Based on Imaging Photoplethysmographic Signals.

Matthieu Scherpf, Hagen Malberg, Martin Schmidt

Proceedings of the Computing in Cardiology, 2022

2021

Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography.

Hannes Ernst, Matthieu Scherpf, Hagen Malberg, Martin Schmidt

Biomed. Signal Process. Control., 2021

Skin Segmentation for Imaging Photoplethysmography Using a Specialized Deep Learning Approach.

Matthieu Scherpf, Hannes Ernst, Leo Misera, Hagen Malberg, Martin Schmidt

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Automatic Classification of Full- and Reduced-Lead Electrocardiograms Using Morphological Feature Extraction.

Alexander Hammer, Matthieu Scherpf, Hannes Ernst, Jonas Weiß, Daniel Schwensow, Martin Schmidt

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

DeepPerfusion: Camera-based Blood Volume Pulse Extraction Using a 3D Convolutional Neural Network.

Matthieu Scherpf, Hannes Ernst, Hagen Malberg, Martin Schmidt

Proceedings of the Computing in Cardiology, 2020

2019

Predicting sepsis with a recurrent neural network using the MIMIC III database.

Matthieu Scherpf, Felix Gräßer, Hagen Malberg, Sebastian Zaunseder

Comput. Biol. Medicine, 2019

Sepsis Onset Prediction Applying a Stacked Combination of a Recurrent Neural Network and a Gradient Boosted Machine.

Matthieu Scherpf, Miriam Goldammer, Hagen Malberg, Felix Gräßer

Proceedings of the 46th Computing in Cardiology, 2019