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20232026
most citedAutopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT

2 citations · 5 across the 7 of their papers we have counts for

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cs.CV2026★ 1 cited

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization

Jakob Dexl, Katharina Jeblick, Andreas Mittermeier +27

We report the design and results of the third autoPET challenge (MICCAI 2024), which benchmarked automated lesion segmentation in whole-body PET/CT under a compositional generaliza…

cs.CV2026

Region-Normalized DPO for Medical Image Segmentation under Noisy Judges

Hamza Kalisch, Constantin Seibold, Jens Kleesiek +2

While dense pixel-wise annotations remain the gold standard for medical image segmentation, they are costly to obtain and limit scalability. In contrast, many deployed systems alre…