Author

C. Tappermann

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Preprint Aug 2026

CoM$^3$eT: A foundation model for medical image analysis through federated, multidimensional context integration

Medical foundation models improve generalization when training AI models with limited labeled data, but remain confined to a single specialty, such as pathology or radiology, and to either sparse or dense outputs, such as classification or segmentation. Here, we present CoM$^3$eT (Co-representation Multidimensional Mul...

J. Schäfer, Kai Geissler, Till Nicke et al. · 0 citations

#computer vision Preprint Aug 2026

Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI

This work builds a controlled AD benchmark of 17 realistic QA-relevant anomaly types from six public datasets and proposes a taxonomy of radiological image anomalies based on human visual perception, enabling fine-grained analysis of AD failure modes, establishing a foundation and practical guidance on scalable unsuper...

C. Tappermann, S. Renisch, L. O. Schwen et al. · 0 citations