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Improved low-count quantitative PET reconstruction with an iterative neural network
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Improved low-count quantitative PET reconstruction with an iterative neural network

Hongki Lim
Il Yong Chun
Y. Dewaraja
Jeffrey A. Fessler
ArXiv (abs)PDFHTML

Papers citing "Improved low-count quantitative PET reconstruction with an iterative neural network"

3 / 3 papers shown
Title
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data
Anish Lahiri
M. Klasky
Jeffrey A. Fessler
S. Ravishankar
56
27
0
23 Jan 2022
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
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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