FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction
Author:
Affiliation:
1. College of Computer Science, Sichuan University, Chengdu, China
2. College of Electrical Engineering, Sichuan University, Chengdu, China
3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Funder
National Natural Science Foundation of China
Sichuan Science and Technology Program
Sichuan University ’From 0 to 1’ Innovative Research Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
http://xplorestaging.ieee.org/ielx7/42/9847115/09726161.pdf?arnumber=9726161
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. Sparse-View Spectral CT Reconstruction Based on Tensor Decomposition and Total Generalized Variation;Electronics;2024-05-10
2. RegFormer: A Local–Nonlocal Regularization-Based Model for Sparse-View CT Reconstruction;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-02
3. Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction;IEEE Transactions on Computational Imaging;2024
4. SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction;IEEE Transactions on Neural Networks and Learning Systems;2024
5. A simulation study on photon-counting denoising based on subspace decomposition;5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023);2023-08-10
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