Plug and play augmented HQS: Convergence analysis and its application in MRI reconstruction
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Plug and play augmented HQS: Convergence analysis and its application in MRI reconstruction
Authors
Keywords
-
Journal
NEUROCOMPUTING
Volume 518, Issue -, Pages 1-14
Publisher
Elsevier BV
Online
2022-11-05
DOI
10.1016/j.neucom.2022.10.061
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
- (2021) Siyuan Wang et al. NEUROCOMPUTING
- Image compression-encryption method based on two-dimensional sparse recovery and chaotic system
- (2021) Aboozar Ghaffari Scientific Reports
- Single Image Restoration Through ℓ2-relaxed Truncated ℓ0 Analysis-based Sparse Optimization in Tight Frames
- (2021) Liangtian He et al. NEUROCOMPUTING
- Smooth non-negative sparse representation for face and handwritten recognition
- (2021) Aboozar Ghaffari et al. APPLIED SOFT COMPUTING
- Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery
- (2020) Rizwan Ahmad et al. IEEE SIGNAL PROCESSING MAGAZINE
- Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians
- (2020) Dana J. Lin et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- A dual-domain deep lattice network for rapid MRI reconstruction
- (2020) Liyan Sun et al. NEUROCOMPUTING
- SAR Image Despeckling using Plug-and-Play ADMM
- (2020) Satyakam Baraha et al. IET Radar Sonar and Navigation
- High-dimensional embedding network derived prior for compressive sensing MRI reconstruction
- (2020) Minghui Zhang et al. MEDICAL IMAGE ANALYSIS
- Deep plug-and-play prior for low-rank tensor completion
- (2020) Xi-Le Zhao et al. NEUROCOMPUTING
- Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography
- (2020) Meishan Cai et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Efficient structurally-strengthened generative adversarial network for MRI reconstruction
- (2020) Wenzhong Zhou et al. NEUROCOMPUTING
- A new sparse representation framework for compressed sensing MRI
- (2019) Zhen Chen et al. KNOWLEDGE-BASED SYSTEMS
- Gradient Immune-based Sparse Signal Reconstruction Algorithm for Compressive Sensing
- (2019) Nabil Sabor APPLIED SOFT COMPUTING
- Compressed sensing MR image reconstruction via a deep frequency-division network
- (2019) Jiulou Zhang et al. NEUROCOMPUTING
- Sparse Signal Recovery Using Iterative Proximal Projection
- (2018) Fateme Ghayem et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction
- (2018) IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Novel Iterative Shrinkage Algorithm for CS-MRI via Adaptive Regularization
- (2017) Zhen Chen et al. IEEE SIGNAL PROCESSING LETTERS
- Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction
- (2016) Zhifang Zhan et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging
- (2016) Yunsong Liu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Iterative Sparsification-Projection: Fast and Robust Sparse Signal Approximation
- (2016) Mostafa Sadeghi et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Iterative Convex Refinement for Sparse Recovery
- (2015) Hojjat S. Mousavi et al. IEEE SIGNAL PROCESSING LETTERS
- XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing
- (2015) Li Feng et al. MAGNETIC RESONANCE IN MEDICINE
- Golden-angle radial sparse parallel MRI: Combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI
- (2013) Li Feng et al. MAGNETIC RESONANCE IN MEDICINE
- Undersampled MRI reconstruction with patch-based directional wavelets
- (2012) Xiaobo Qu et al. MAGNETIC RESONANCE IMAGING
- Computational Methods for Sparse Solution of Linear Inverse Problems
- (2010) Joel A Tropp et al. PROCEEDINGS OF THE IEEE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started