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Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariance
An inference-time, model-agnostic method uses transformation equivariance to estimate uncertainty in pretrained registration networks, with maps correlating to errors.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5