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Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT., , and . CoRR, (2014)AIR Tools II: algebraic iterative reconstruction methods, improved implementation., and . Numer. Algorithms, 79 (1): 107-137 (2018)Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data., , , and . SIAM J. Imaging Sci., 11 (4): 2786-2814 (2018)A Bayesian Approach to CT Reconstruction with Uncertain Geometry., , and . CoRR, (2022)Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography., , and . SSVM, volume 14009 of Lecture Notes in Computer Science, page 107-119. Springer, (2023)Democratizing Uncertainty Quantification., , , , , , , , , and 13 other author(s). CoRR, (2024)A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL)., , , , and . CoRR, (2023)Low-rank flat-field correction for artifact reduction in spectral computed tomography., , , , and . CoRR, (2022)CUQIpy - Part II: computational uncertainty quantification for PDE-based inverse problems in Python., , , , , , and . CoRR, (2023)Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT., , and . IEEE Trans. Medical Imaging, 32 (2): 460-473 (2013)