Author

Balint Kovacs

2 papers indexed here

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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

#machine learning Jul 2026

Rethinking Post-Hoc Calibration in Semantic Segmentation

This work characterize translation-invariant (TI) calibrators and construct TI counterparts of shift-sensitive methods and introduces more expressive class-conditional affine calibrators that preserve decisions under argmax- and order-preservation constraints.

Tristan Kirscher, Kim-Celine Kahl, Balint Kovacs et al. · arXiv.org · 0 citations