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Preprint Sep 2026

nnFoundation: 3D Foundation Models for Radiology

Radiological artificial intelligence has advanced rapidly, yet most systems remain narrowly task-specific, data-intensive, and fragile under domain shift. Foundation models promise more transferable and data-efficient solutions, but existing approaches are limited in scale, evaluated narrowly, and often assume that a s...

C. U. Harsy, Tassilo Wald, Karol Gotkowski et al. · 0 citations
#artificial intelligence Open access Oct 2025

Federated Learning for surgical vision in appendicitis classification: Results of the FedSurg EndoVis 2024 challenge.

The authors' analysis identifies temporal modeling as the architectural factor most consistently associated with generalization to the unseen center, although the effect is not uniform across metrics in the controlled baseline comparison, and both parameter-efficient baselines remain more costly than a constant predict...

Max Kirchner, Hanna Hoffmann, Alexander C. Jenke et al. · 1 citation

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