Convolutive blind source separation on surface EMG signals for respiratory diagnostics and medical ventilation control. - Herbert Buchner; Eike Petersen; Marcus Eger; Philipp Rostalski (EMBC, 2016)

A template subtraction method for the removal of cardiogenic oscillations on esophageal pressure signals. - Jan Graßhoff; Eike Petersen; Marcus Eger; Giacomo Bellani; Philipp Rostalski (EMBC, 2017)

On Approximate Nonlinear Gaussian Message Passing on Factor Graphs. - Eike Petersen; Christian Hoffmann 002; Philipp Rostalski (SSP, 2018)

Automatic Estimation of Respiratory Effort using Esophageal Pressure. - Jan Graßhoff; Eike Petersen; Tobias Becher; Philipp Rostalski (EMBC, 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)

Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms. - Eike Petersen; Julia Sauer; Jan Graßhoff; Philipp Rostalski (IEEE Access, 2020)

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 002 (CoRR, 2021)

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 (MICCAI (1), 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 002 (IEEE Access, 2022)

Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? - Nina Weng; Siavash Arjomand Bigdeli; Eike Petersen; Aasa Feragen (CLIP/FAIMI/EPIMI@MICCAI, 2023)

On (assessing) the fairness of risk score models. - Eike Petersen; Melanie Ganz; Sune Hannibal Holm; Aasa Feragen (FAccT, 2023)

That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation. - Kilian Zepf; Eike Petersen; Jes Frellsen; Aasa Feragen (ICLR, 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 (ASMUS@MICCAI, 2023)

Are demographically invariant models and representations in medical imaging fair? - Eike Petersen; Enzo Ferrante; Melanie Ganz; Aasa Feragen (CoRR, 2023)

Model-Based Estimation of Inspiratory Effort Using Surface EMG. - Jan Graßhoff; Eike Petersen; Stephan Walterspacher; Philipp Rostalski (IEEE Trans. Biomed. Eng., 2023)

The path toward equal performance in medical machine learning. - Eike Petersen; Sune Hannibal Holm; Melanie Ganz; Aasa Feragen (Patterns, 2023)

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. - Nina Weng; Paraskevas Pegios; Eike Petersen; Aasa Feragen; Siavash Arjomand Bigdeli (ECCV (86), 2024)

Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods. - Vincent Olesen; Nina Weng; Aasa Feragen; Eike Petersen (FAIMI/EPIMI@MICCAI, 2024)

Using Photon-Counting CT Images for Lung Nodule Classification. - Leonie Basso; Zahra Ahmadi; Steffen Oeltze-Jafra; Eike Petersen; Hoen-oh Shin; Andrea Schenk (WSDM, 2025)

Robustness and sex differences in skin cancer detection: logistic regression vs CNNs. - Nikolette Pedersen; Regitze Sydendal; Andreas Wulff; Ralf Raumanns; Eike Petersen; Veronika Cheplygina (CoRR, 2025)