Publications

Here we list submitted and published papers related to CUQI.
  1. B. M. Afkham, J. Chung, and M. Chung, Learning regularization parameters of inverse problems via deep neural networks, Inverse Problems, 37 (2021), 105017, doi 10.1088/1361-6420/ac245d.
  2. B. M. Afkham, Y. Dong, and P. C. Hansen, Uncertainty quantification of inclusion boundaries in the context of X-ray tomography, submitted to SIAM/ASA J. Uncertainty Quantification; arxiv.org/abs/2107.06607.
  3. E. Ametova, G. Burca, S. Chilingaryan, G. Fardell, J. S. Jørgensen, E. Papoutsellis, E. Pasca, R. Warr, M. Turner, W. R. B. Lionheart, and P. J. Withers, Crystalline phase discriminating neutron tomography using advanced reconstruction methods, J. Phys. D: Appl. Phys., 54 (2021), 325502.doi 10.1088/1361-6463/ac02f9 (open access).
  4. E. Ametova, G. Burca, G. Fardell, J. S. Jørgensen, E. Papoutsellis, E. Pasca, R. Warr, M. Turner, W. R. B. Lionheart, and P. J. Withers, Joint reconstruction with a correlative regularisation technique for multi-channel neutron tomography, Proc.16th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, pp. 431–434, 2021.
  5. K. O. Bangsgaard and M. S. Andersen, A statistical reconstruction model for absorption CT with source uncertainty, Inverse Problems, 37 (2021), 085009, doi 10.1088/1361-6420/ac11c7.
  6. J. M. Bardsley and P. C. Hansen, MCMC algorithms for computational UQ of nonnegativity constrained linear inverse problems, SIAM J. Sci. Comput., 41 (2020), pp. A1269–1288, doi 10.1137/18M1234588.
  7. D.Caviedes-Nozal, F. M. Heuchel, J. Brunskog, N. A. B. Riis, and E. Fernandez-Grande, A Bayesian spherical harmonics source radiation model for sound field control, J. Acoust. Soc. Am., 146 (2019), pp. 3425–3435, doi 10.1121/1.5133384.
  8. D. Caviedes-Nozal, N. A. B. Riis, F. M. Heuchel, J. Brunskog, P. Gerstoft, and E. Fernandez-Grande, Acoustic Gaussian processes, J. Acoust. Soc. Am., 149 (2021), pp. 1107–1119, doi 10.1121/10.0003497.
  9. P. C. Hansen, K. Hayami, and K. Morikuni, GMRES methods for tomographic reconstruction with an unmatched back projector, submitted to J. Comp. Appl. Math.; arxiv.org/abs/2110.01481.
  10. P. C. Hansen, J. S. Jørgensen, and P. W. Rasmussen, Stopping rules for algebraic iterative reconstruction methods in computed tomography; in 21st International Conference on Computational Science and Its Applications (ICCSA), IEEE, 2021; to appear; arXiv.org/abs/2106.10053.
  11. J. S. Jørgensen, E. Ametova, G. Burca, G. Fardell, E. Papoutsellis, E. Pasca, K. Thielemans, M. Turner, R. Warr, W. R. B. Lionheart, and P. J. Withers, Core Imaging Library - Part I: a versatile Python framework for tomographic imaging, Phil. Trans. Royal Soc. A, 379 (2021), Article ID: 20200193. 10.1098/rsta.2020.0192 (open access).
  12. M. Karamehmedović and D. Winterrose, On the transfer of information in multiplier equations, submitted.
  13. A. Kirkeby, M. T. R. Henriksen, and M. Karamehmedović, Stability of the inverse source problem for the Helmholtz equation in R3, Inverse Problems, 36 (2020), 055007, doi 10.1088/1361-6420/ab762d.
  14. E. Papoutsellis, E. Ametova, C. Delplancke, G. Fardell, J. S. Jørgensen, E. Pasca, M. Turner, R. Warr, W. R. B. Lionheart and P. J. Withers, Core Imaging Library - Part II: Multi-channel reconstruction for dynamic and spectral tomography, Phil. Trans. Royal Soc. A, 379 (2021), Article ID: 20200193. doi 10.1098/rsta.2020.0193 (open access).
  15. N. A. B. Riis and Y. Dong, A new iterative method for CT reconstruction with uncertain view angles. In: J. Lellmann, M. Burger, and J. Modersitzki (eds), Scale Space and Variational Methods in Computer Vision. SSVM 2019. Lecture Notes in Computer Science, vol 11603, pp. 156–167, 2019. Springer. doi 10.1007/978-3-030-22368-7_13.
  16. N. A. B. Riis, Y. Dong, and P. C. Hansen, Computed tomography reconstruction with uncertain view angles by iteratively updated model discrepancy, J. Math. Imag., 63 (2021), pp. 133–143, doi 10.1007/s10851-020-00972-7. Also available: view-only version.
  17. N. A. B. Riis, Y. Dong, and P. C. Hansen, Computed tomography with view angle estimation using uncertainty quantification, Inverse Problems, 37 (2021), 065007. doi 10.1088/1361-6420/abf5ba.
  18. K. Šehić, H. Bredmose, J. D. Sørensen, and M. Karamehmedović, Active-subspace analysis of exceedance probability for shallow-water waves, J. Eng. Math., 126 (2021), article no. 1, doi 10.1007/s10665-020-10080-5.
  19. K. Šehić, H. Bredmose, J. D. Sørensen, and M. Karamehmedović, Low-dimensional offshore wave input for extreme event quantification, J. Eng. Math., 126 (2021), article no. 13, doi 10.1007/s10665-021-10091-w.
  20. K. Šehić and M. Karamehmedović, Estimation of failure probabilities via local subset approximations, submitted.
  21. F. Uribe, J. M. Bardsley,Y. Dong, P. C. Hansen, and N. A. B. Riis, A hybrid Gibbs sampler for edge-preserving tomographic reconstruction with uncertain angles; submitted to SIAM/ASA J. Uncertainty Quantification.
  22. R. Warr, E. Ametova, R. J. Cernik, G. Fardell, S. Handschuh, J. S. Jørgensen, E. Papoutsellis, E. Pasca, and P. J. Withers, Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction, Sci. Rep. 11 (2021), 20818, doi 10.1038/s41598-021-00146-4.