Model-Driven Enhanced Analytic Learned Iterative Shrinkage Threshold Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3228201
Abstract: The application of deep learning in compressed sensing reconstruction has achieved some excellent results. The deep neural network based on iterative algorithm can not only reflect the excellent performance of deep learning, but also reflect… read more here.
Keywords: analytic learned; shrinkage threshold; threshold algorithm; learned iterative ... See more keywords
Multi-Scale Learned Iterative Reconstruction
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2020.2990299
Abstract: Model-based learned iterative reconstruction methods have recently been shown to outperform classical reconstruction algorithms. Applicability of these methods to large scale inverse problems is however limited by the available memory for training and extensive training… read more here.
Keywords: reconstruction; learned iterative; iterative reconstruction; multi scale ... See more keywords