Split Bregman algorithms for sparse group Lasso with application to MRI reconstruction

Author:

Zou Jian,Fu Yuli

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Unified Design of Generalized Moreau Enhancement Matrix for Sparsity Aware LiGME Models;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2023-08-01

2. A novel computational imaging algorithm based on split Bregman iterative for electrical capacitance tomography;Measurement Science and Technology;2021-08-27

3. Magnetic resonance imaging reconstruction via non‐convex total variation regularization;International Journal of Imaging Systems and Technology;2020-07-20

4. NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method;IEEE Transactions on Medical Imaging;2020-06

5. On-line Sparse Recovery from Correlated Multiple Measurements Without Time Latency;2019 4th International Conference on Communication and Information Systems (ICCIS);2019-12

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