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Convolutional Analysis Operator Learning: Dependence on Training Data
v1v2v3v4 (latest)

Convolutional Analysis Operator Learning: Dependence on Training Data

21 February 2019
Il Yong Chun
David Hong
Ben Adcock
Jeffrey A. Fessler
ArXiv (abs)PDFHTML

Papers citing "Convolutional Analysis Operator Learning: Dependence on Training Data"

5 / 5 papers shown
Title
An Improved Iterative Neural Network for High-Quality Image-Domain
  Material Decomposition in Dual-Energy CT
An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT
Zhipeng Li
Y. Long
Il Yong Chun
41
12
0
02 Dec 2020
Momentum-Net for Low-Dose CT Image Reconstruction
Momentum-Net for Low-Dose CT Image Reconstruction
Siqi Ye
Y. Long
Il Yong Chun
104
8
0
27 Feb 2020
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
Improved low-count quantitative PET reconstruction with an iterative
  neural network
Improved low-count quantitative PET reconstruction with an iterative neural network
Hongki Lim
Il Yong Chun
Y. Dewaraja
Jeffrey A. Fessler
83
7
0
05 Jun 2019
Convolutional Analysis Operator Learning: Acceleration and Convergence
Convolutional Analysis Operator Learning: Acceleration and Convergence
Il Yong Chun
Jeffrey A. Fessler
107
47
0
15 Feb 2018
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