CAIR: Combining integrated attention with iterative optimization learning for sparse-view CT reconstruction
W Cheng, J He, Y Liu, H Zhang, X Wang, Y Liu… - Computers in Biology …, 2023 - Elsevier
Sparse-view CT is an efficient way for low dose scanning but degrades image quality.
Inspired by the successful use of non-local attention in natural image denoising and …
Inspired by the successful use of non-local attention in natural image denoising and …
Superiorization and perturbation resilience of algorithms: a continuously updated bibliography
Y Censor - arXiv preprint arXiv:1506.04219, 2015 - arxiv.org
This document presents a (mostly) chronologically-ordered bibliography of scientific
publications on the superiorization methodology and perturbation resilience of algorithms …
publications on the superiorization methodology and perturbation resilience of algorithms …
Plug-and-play superiorization
J Henshaw, A Gibali, T Humphries - arXiv preprint arXiv:2410.23401, 2024 - arxiv.org
The superiorization methodology (SM) is an optimization heuristic in which an iterative
algorithm, which aims to solve a particular problem, is``superiorized''to promote solutions …
algorithm, which aims to solve a particular problem, is``superiorized''to promote solutions …