Convolutional Analysis Operator Learning: Acceleration and Convergence

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Convolutional Analysis Operator Learning: Acceleration and Convergence

15 February 2018

Il Yong Chun

Jeffrey A. Fessler

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Papers citing "Convolutional Analysis Operator Learning: Acceleration and Convergence"

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Title
A Learned Proximal Alternating Minimization Algorithm and Its Induced Network for a Class of Two-block Nonconvex and Nonsmooth Optimization Yuxiao Chen Lezhi Liu Lei Zhang 73 0 0 10 Nov 2024
Self-Supervised Scalable Deep Compressed Sensing Bin Chen Xuanyu Zhang Shuai Liu Yongbing Zhang Jian Zhang 73 5 0 26 Aug 2023
Content-aware Scalable Deep Compressed Sensing Bin Chen Jian Zhang 65 58 0 19 Jul 2022
Accelerated MRI With Deep Linear Convolutional Transform Learning Hongyi Gu Burhaneddin Yaman S. Moeller Il Yong Chun Mehmet Akçakaya MedIm 40 0 0 17 Apr 2022
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction A. Perelli Suxer Lazara Alfonso Garcia A. Bousse J. Tasu Nikolaos Efthimiadis D. Visvikis 65 9 0 10 Mar 2022
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 63 1 0 04 Mar 2022
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction Qingchao Zhang Mehrdad Alvandipour Wenjun Xia Yi Zhang X. Ye Yunmei Chen 57 6 0 27 Apr 2021
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise David Hong Kyle Gilman Laura Balzano Jeffrey A. Fessler 144 20 0 10 Jan 2021
An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT Zhipeng Li Y. Long Il Yong Chun 54 12 0 02 Dec 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 94 13 0 28 Jun 2020
Momentum-Net for Low-Dose CT Image Reconstruction Siqi Ye Y. Long Il Yong Chun 104 8 0 27 Feb 2020
Learning Deep Analysis Dictionaries -- Part II: Convolutional Dictionaries Jun-Jie Huang Pier Luigi Dragotti 77 1 0 31 Jan 2020
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization Il Yong Chun Xuehang Zheng Y. Long Jeffrey A. Fessler 3DV OOD 77 31 0 04 Aug 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 118 82 0 26 Jul 2019
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
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 130 246 0 04 Apr 2019
Convolutional Analysis Operator Learning: Dependence on Training Data Il Yong Chun David Hong Ben Adcock Jeffrey A. Fessler 69 17 0 21 Feb 2019