Fraunhofer Institute for Digital Medicine MEVISResearch Interests
- Medical AI robustness and generalization
- AI evaluation, certification, regulation, quality assurance
- AI bias and fairness (also see FAIMI)
- Uncertainty quantification, statistical inference
- XAI
- Data & AI Readiness
Dr.-Ing. Eike Petersen
Publications
2026
Poolpol P, Detjen HHJ, Petersen E (2026) Faithful Faithfulness Evaluations: Challenges & Pitfalls Learned from a Breast MRI Case Study. Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2026
Sutariya D, Petersen E (2026) Impact of Preprocessing Methods on Racial Encoding and Model Robustness in CXR Diagnosis. In: Handels H, Breininger K, Deserno T, Maier A, Maier-Hein K, Palm C, Tolxdorff T (eds) Bildverarbeitung für die Medizin. Informatik aktuell, pp 133–138
Valentine A, Coupland H, Petersen E, Beaman E, Osler M, Feragen A, Ganz M (2026) Nationwide AI Models for Depression Prediction: Regional Generalizability and Culturally Sensitive Variable Selection. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. pp 2584–2596
Weng N, Petersen E, Bissoto A, Sun S, Koch LM, Feragen A, Bigdeli S, Baumgartner CF (2026) SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods. In: Huo Y, Gao M, Kuo C-F, Jin Y, Deng R (eds) Proceedings of Machine Learning Research, Conference on Medical Imaging with Deep Learning. ML Research Press, pp 1983–2002
2025
Basso L, Ahmadi Z, Oeltze-Jafra S, Petersen E, Shin H, Schenk A (2025) Using Photon-Counting CT Images for Lung Nodule Classification. Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, pp 1102–1103
Dornbusch S, Schenk A, Petersen E, Fehling R, Lenzen H, Levers A, Winther H, Wacker F, Ringe K (2025) Stellenwert der MRT als prognostischer Langzeitbiomarker bei Patienten mit primär sklerosierender Cholangitis (PSC). RöFo – Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 197(S01):15–16
Feragen A, Petersen E, Ganz-Benjaminsen M (2025) The cause and effect of an MR image: Robustness and generalizability. Advances in Magnetic Resonance Technology and Applications. pp 465–485
Pedersen N, Sydendal R, Wulff A, Raumanns R, Petersen E, Cheplygina V (2025) Robustness and Sex Differences in Skin Cancer Detection: Logistic Regression vs CNNs. MICCAI Workshop on Fairness of AI in Medical Imaging (FAIMI). pp 115–124
Petersen E, Ursin F (2025) Against Disease Classification: Toward Continuous Disease Assessment in Precision Medicine. NEJM AI 3(1)
Sutariya D, Petersen E (2025) meval: A Statistical Toolbox for Fine-Grained Model Performance Analysis. MICCAI Workshop on Fairness of AI in Medical Imaging (FAIMI). pp 187–197
2024
Jonkman AH, Warnaar RSP, Baccinelli W, Carbon NM, D'Cruz RFD, Doorduin J, van Doorn JLM, Elshof J, Estrada-Petrocelli L, Graßhoff J, Heunks LMA, Koopman AA, Langer D, Moore CM, Nunez Silveira JM, Petersen E, Poddighe D, Ramsay M, Rodrigues A, Roesthuis LH, Rossel A, Torres A, Duiverman ML, Oppersma E (2024) Analysis and applications of respiratory surface EMG: report of a round table meeting. Critical Care 28
Olesen V, Weng N, Feragen A, Petersen E (2024) Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods. In: Puyol-Antón E et al (ed) Ethics and Fairness in Medical Imaging. FAIMI 2024 EPIMI 2024. LNCS, pp 3–13
Weng N, Pegios P, Petersen E, Feragen A, Bigdeli S (2024) Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. European Conference on Computer Vision
2023
Graßhoff J, Petersen E, Walterspacher S, Rostalski P (2023) Model-Based Estimation of Inspiratory Effort Using Surface EMG. IEEE Transactions on Biomedical Engineering 70(1):247–258
Petersen E, Ganz M, Holm S, Feragen A (2023) On (assessing) the fairness of risk score models. ACM Conference on Fairness, Accountability, and Transparency
Petersen E, Holm S, Ganz M, Feragen A (2023) The path toward equal performance in medical machine learning. Patterns 4(7)
Weng N, Bigdeli S, Petersen E, Feragen A (2023) Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? MICCAI Workshop on Fairness of AI in Medical Imaging (FAIMI)
Zepf K, Petersen E, Frellsen J, Feragen A (2023) That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation. International Conference on Learning Representations
2022
Petersen E, Potdevin Y, Mohammadi E, Zidowitz S, Breyer S, Nowotka D, Henn S, Pechmann L, Leucker M, Rostalski P, Herzog C (2022) Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions. IEEE Access 10:58375–58418
Petersen E, Feragen A, da Costa Zemsch ML, Henriksen A, Wiese Christensen OE, Ganz M (2022) Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection. Medical Image Computing and Computer Assisted Intervention
2021
Graßhoff J, Petersen E, Farquharson F, Kustermann M, Kabitz H-J, Rostalski P, Walterspacher S (2021) Surface EMG-based quantification of inspiratory effort: a quantitative comparison with Pes. Critical Care 25
2020
Petersen E, Sauer J, Graßhoff J, Rostalski P (2020) Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms. IEEE Access 8
2019
Petersen E, Rostalski P (2019) A Comprehensive Mathematical Model of Motor Unit Pool Organization, Surface Electromyography, and Force Generation. Frontiers in Physiology 10
2018
Petersen E, Hoffmann C, Rostalski P (2018) On Approximate Nonlinear Gaussian Message Passing on Factor Graphs. IEEE Statistical Signal Processing Workshop (SSP)