Publications
Journal publications
Motion estimation and correction for simultaneous PET/MR using SIRF, Philosophical Transactions Royal Society A, vol.\@ 379, 2021, Richard Brown, Christoph Kolbitsch, Claire Delplancke, Evangelos Papoutsellis, Johannes Mayer, Evgueni Ovtchinnikov, Edoardo Pasca, Radhouene Neji, Casper da Costa-Luis, Ashley G. Gillman, Matthias J. Ehrhardt, Jamie McClelland and Kris Thielemans.
Core Imaging Library – Part II: Multichannel reconstruction for dynamic and spectral tomography, Philosophical Transactions Royal Society A, vol.\@ 379, 2021, Evangelos Papoutsellis, Evelina Ametova, Claire Delplancke, Gemma Fardell, Jakob S. Jørgensen, Edoardo Pasca, Martin Turner, Ryan Warr, William R. B. Lionheart and Philip J. Withers.
A scalable online algorithm for passive seismic tomography in underground mines, Geophysics, Vol. 85. No. 4, 2020, Claire Delplancke, Joaquín Fontbona and Jorge Prado. Abstract
Intertwinings and Stein’s magic factors for birth-death processes, final version 2017, published in 2019 in Annales de l’Institut Henri Poincaré, Probabilités et Statistiques 55(1). Bertrand Cloez and Claire Delplancke. Full text
Conference papers
Accelerated Convergent Motion Compensated Image Reconstruction, IEEE Medical Imaging Conference, 2021, Claire Delplancke, Matthias J. Ehrhardt and Kris Thielemans.
Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRI, Scale Space and Variational Methods in Computer Vision (SSVM), 2021, Eric B. Guttierez, Claire Delplancke, Matthias J. Ehrhadt.
Improving a Stochastic Algorithm for Regularized PET Image Reconstruction, IEEE Medical Imaging Conference, 2020, Claire Delplancke, Mark Gurnell, Jonas Latz, Pawel J. Markiewicz, Carola-Bibiane Schoenlieb and Matthias J. Ehrhardt. Link
Preprints
On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction, Eric B Gutierrez, Claire Delplancke, Matthias J Ehrhardt, arXiv preprint, 2022.
Berry-Esseen bounds for the chi-square distance in the Central Limit Theorem: a Markovian approach, preprint, 2017. Claire Delplancke and Laurent Miclo. Full text