1 citations · 1 across the 4 of their papers we have counts for
5 papers
TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets
Ander Biguri, Tomoyuki Sadakane, Reuben Lindroos +11
Computed Tomography (CT) has been widely adopted in medicine and it is increasingly being used in scientific and industrial applications. Parallelly, research in different mathemat…
Flexible Krylov Methods for Group Sparsity Regularization
Julianne Chung, Malena Sabaté Landman
This paper introduces new solvers for efficiently computing solutions to large-scale inverse problems with group sparsity regularization, including both non-overlapping and overlap…
Latent-space disentanglement with untrained generator networks for the isolation of different motion types in video data
Abdullah Abdullah, Martin Holler, Karl Kunisch +1
Isolating different types of motion in video data is a highly relevant problem in video analysis. Applications can be found, for example, in dynamic medical or biological imaging,…
Regularization by inexact Krylov methods with applications to blind deblurring
Silvia Gazzola, Malena Sabaté Landman
This paper is concerned with the regularization of large-scale discrete inverse problems by means of inexact Krylov methods. Specifically, we derive two new inexact Krylov methods…
Adaptive Regularization Parameter Choice Rules for Large-Scale Problems
Silvia Gazzola, Malena Sabate Landman
This paper derives a new class of adaptive regularization parameter choice strategies that can be effectively and efficiently applied when regularizing large-scale linear inverse p…