Eike Petersen

According to our database, Eike Petersen authored at least 17 papers between 2016 and 2023.

Collaborative distances:

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

2023

The path toward equal performance in medical machine learning.

Eike Petersen, Sune Hannibal Holm, Melanie Ganz, Aasa Feragen

Patterns, July, 2023

Model-Based Estimation of Inspiratory Effort Using Surface EMG.

Jan Graßhoff, Eike Petersen, Stephan Walterspacher, Philipp Rostalski

IEEE Trans. Biomed. Eng., 2023

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation.

Nina Weng, Paraskevas Pegios, Aasa Feragen, Eike Petersen, Siavash Bigdeli

CoRR, 2023

Are demographically invariant models and representations in medical imaging fair?

Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen

CoRR, 2023

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction.

Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation.

Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On (assessing) the fairness of risk score models.

Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?

Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions.

Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog

IEEE Access, 2022

Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer's Disease Detection.

Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions.

Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog

CoRR, 2021

2020

Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms.

Eike Petersen, Julia Sauer, Jan Graßhoff, Philipp Rostalski

IEEE Access, 2020

2019

Iterative Approximate Nonlinear Inference via Gaussian Message Passing on Factor Graphs.

Christian Herzog né Hoffmann, Eike Petersen, Philipp Rostalski

IEEE Control. Syst. Lett., 2019

Automatic Estimation of Respiratory Effort using Esophageal Pressure.

Jan Graßhoff, Eike Petersen, Tobias Becher, Philipp Rostalski

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

On Approximate Nonlinear Gaussian Message Passing on Factor Graphs.

Eike Petersen, Christian Hoffmann, Philipp Rostalski

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

A template subtraction method for the removal of cardiogenic oscillations on esophageal pressure signals.

Jan Graßhoff, Eike Petersen, Marcus Eger, Giacomo Bellani, Philipp Rostalski

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Convolutive blind source separation on surface EMG signals for respiratory diagnostics and medical ventilation control.

Herbert Buchner, Eike Petersen, Marcus Eger, Philipp Rostalski

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016