1 citations · 1 across the 6 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
VIDS-Seg: Towards Reliable Uncertainty Quantification in Pediatric Cardiac Ultrasound Segmentation
Paul Fischer, Ece Ozkan
Reliable clinical deployment of machine learning requires models that know when they are likely to fail, particularly for subgroups underrepresented in training data. A common case…
cs.CV2024
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
Leonard Siegert, Paul Fischer, Mattias P. Heinrich +1
Deformable image registration is fundamental to many medical imaging applications. Registration is an inherently ambiguous task often admitting many viable solutions. While neural…