Deep signed distance functions combined with MCMC sampling enable uncertainty-aware reconstruction of left and right ventricles from limited data.
Bayesian 3d shape reconstruction from noisy points and normals
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Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
Deep signed distance functions combined with MCMC sampling enable uncertainty-aware reconstruction of left and right ventricles from limited data.