X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework
Author:
Affiliation:
1. Laboratoire des Signaux et Système, CentraleSupélec, CNRS, Université Paris Sud, Université Paris-Saclay, 3, Rue Joliot-Curie, 91192 Gif-sur-Yvette, France. li.wang@lss.supelec.fr, djafari@lss.supelec.fr, nicolas.gac@lss.supelec.fr
Publisher
IOS Press
Subject
Computational Theory and Mathematics,Information Systems,Algebra and Number Theory,Theoretical Computer Science
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
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2. Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography;SIAM/ASA Journal on Uncertainty Quantification;2023-01-25
3. Bayesian Inference for Inverse Problems;Bayesian Inference - Recent Advantages;2022-11-23
4. Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems;Entropy;2021-12-13
5. Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss–Markov–Potts Prior;IEEE Transactions on Computational Imaging;2019-06
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