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Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods

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Published in:ArXiv cs.CV Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
ArXiv cs.CV Recent Papers
Civil & Construction
Engineering & Technology
sub_discipline_display Civil & Construction
sub_discipline_facet Civil & Construction
subject_display ArXiv cs.CV Recent Papers
Civil & Construction
Engineering & Technology
ArXiv cs.CV Recent Papers
Civil & Construction
Engineering & Technology
subject_facet ArXiv cs.CV Recent Papers
Civil & Construction
Engineering & Technology
title Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
title_auth Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
title_full Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
title_fullStr Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
title_full_unstemmed Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
title_short Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
title_sort uncertainty quantification for cardiac shape reconstruction with deep signed distance functions via mcmc methods
topic ArXiv cs.CV Recent Papers
Civil & Construction
Engineering & Technology
url https://arxiv.org/abs/2605.07987v1