Published on 07 December 2022
Data accompanying article "A Bayesian Approach to CT Reconstruction with Uncertain Geometry"
View DatasetPedersen, Frederik Hagsholm;Andersen, Martin Skovgaard;Jørgensen, Jakob Sauer
Description
This record contains three datasets for reproducing the results of the paper "A Bayesian Approach to CT Reconstruction with Uncertain Geometry" by Frederik H. Pedersen, Jakob S. Jørgensen and Martin S. Andersen currently available as a preprint at https://arxiv.org/abs/2203.01045 The datafiles are provided as mat-files saved from MATLAB. Using these files, and the accompanying codes at github the results and figures of the paper can be reproduced. Each of the files correspond to one of the three cases presented in the paper.
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Mentions (1)
- https://github.com/CUQI-DTU/Paper-GeometricUncertaintySoftware Heritage
Mentioned on 18 April 2023
Weight: 1.23
Metrics Over Time
Publication Details
Subfield
Statistics and Probability
Field
Mathematics
Domain
Physical Sciences
Confidence Score
43%
Source
Scholar Data Model
Keywords
computed tomography, uncertainty quantification, CT, misalignment