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Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction

Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction

14 December 2015
Hung Nien
Jeffrey A. Fessler
ArXiv (abs)PDFHTML

Papers citing "Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction"

6 / 6 papers shown
Title
Two-layer clustering-based sparsifying transform learning for low-dose
  CT reconstruction
Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction
Xikai Yang
Y. Long
S. Ravishankar
10
1
0
01 Nov 2020
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and
  Generalization
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization
Il Yong Chun
Xuehang Zheng
Y. Long
Jeffrey A. Fessler
3DVOOD
77
31
0
04 Aug 2019
Momentum-Net: Fast and convergent iterative neural network for inverse
  problems
Momentum-Net: Fast and convergent iterative neural network for inverse problems
Il Yong Chun
Zhengyu Huang
Hongki Lim
Jeffrey A. Fessler
116
82
0
26 Jul 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
121
244
0
04 Apr 2019
Low Dose CT Image Reconstruction With Learned Sparsifying Transform
Low Dose CT Image Reconstruction With Learned Sparsifying Transform
Xuehang Zheng
Zening Lu
S. Ravishankar
Y. Long
Jeffrey A. Fessler
OOD
76
34
0
10 Jul 2017
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for
  Low-Dose 3D CT Image Reconstruction
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
Xuehang Zheng
S. Ravishankar
Y. Long
Jeffrey A. Fessler
69
83
0
27 Mar 2017
1