Publications

Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rückert (2023). Anatomy-Driven Pathology Detection on Chest X-rays. In MICCAI 2023.

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Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rückert (2023). (Predictable) Performance Bias in Unsupervised Anomaly Detection. under review.

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Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rückert (2023). Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. IEEE TMI.

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Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rückert (2023). Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. In MIDL 2023.

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Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia Wagner, Rami Al-Maskari, Emilia Gryska, Mihail Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern Menze, Marie Piraud (2022). Approaching Peak Ground Truth. In ISBI 2023.

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Felix Meissen, Johannes Pätzold, Georgios Kaissis, Daniel Rückert (2022). Unsupervised Anomaly Localization with Structural Feature-Autoencoders. In MICCAI BrainLes 2022.

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Felix Meissen, Ioannis Lagogiannis, Georgios Kaissis, Daniel Rückert (2022). Domain Shift as a Confounding Variable in Unsupervised Pathology Detection. In MIDL 2022.

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Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rückert (2022). On the Pitfalls of Using the Residual as Anomaly Score. In MIDL 2022.

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Felix Meissen, Georgios Kaissis, Daniel Rückert (2021). Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI. In MICCAI BrainLes 2021.

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