Quantifying model uncertainty for semantic segmentation of Fluorine-19 MRI using stochastic gradient MCMC-Reference-Cited by-同舟云学术

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Quantifying model uncertainty for semantic segmentation of Fluorine-19 MRI using stochastic gradient MCMC

Published:2024-04 Issue: Volume:241 Page:103967
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Javanbakhat Masoumeh^ORCID,Starke Ludger,Waiczies Sonia^ORCID,Lippert Christoph

Publisher

Elsevier BV

Reference68 articles.

1. Clinical cell therapy imaging using a perfluorocarbon tracer and fluorine-19 MRI;Ahrens;Magn. Reson. Med.,2014

2. Medical image segmentation review: The success of u-net;Azad,2022

3. Molecular Dynamics;Ben Leimkuhler,2015

4. Microbial view of central nervous system autoimmunity;Berer;FEBS Lett.,2014

5. Optimization with soft dice can lead to a volumetric bias;Bertels,2019

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