15 citations · 17 across the 4 of their papers we have counts for
4 papers
PET Rapid Image Reconstruction Challenge (PETRIC)
Casper da Costa-Luis, Matthias J. Ehrhardt, Christoph Kolbitsch +4
Introduction: We describe the foundation of PETRIC, an image reconstruction challenge to minimise the computational runtime of related algorithms for Positron Emission Tomography (…
Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction
Evangelos Papoutsellis, Casper da Costa-Luis, Daniel Deidda +10
We introduce a stochastic framework into the open--source Core Imaging Library (CIL) which enables easy development of stochastic algorithms. Five such algorithms from the literatu…
Direct high-order edge-preserving regularization for tomographic image reconstruction
Daniil Kazantsev, Evgueni Ovtchinnikov, William R. B. Lionheart +2
In this paper we present a new two-level iterative algorithm for tomographic image reconstruction. The algorithm uses a regularization technique, which we call edge-preserving Lapl…
Convergence theory for preconditioned eigenvalue solvers in a nutshell
Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr +2
Preconditioned iterative methods for numerical solution of large matrix eigenvalue problems are increasingly gaining importance in various application areas, ranging from material…