Deep unfolding as iterative regularization for imaging inverse problems

24 November 2022

Zhuoxu Cui

Qingyong Zhu

Jing Cheng

Dong Liang

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Papers citing "Deep unfolding as iterative regularization for imaging inverse problems"

27 / 27 papers shown

Title
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction Zhuoxu Cui Chentao Cao Shaonan Liu Qingyong Zhu Jing Cheng Haifeng Wang Yanjie Zhu Dong Liang DiffM MedIm 75 37 0 02 Sep 2022
K-UNN: k-Space Interpolation With Untrained Neural Network Zhuoxu Cui Seng Jia Qingyong Zhu Congcong Liu Zhilang Qiu Yuanyuan Liu Jing Cheng Haifeng Wang Yanjie Zhu Dong Liang 31 1 0 11 Aug 2022
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI Zhuoxu Cui Jing Cheng Qi Zhu Yuanyuan Liu Seng Jia ... Ziwen Ke Wenqi Huang Haifeng Wang Yanjie Zhu Dong Liang 53 8 0 18 Dec 2021
Deep Manifold Learning for Dynamic MR Imaging Ziwen Ke Zhuoxu Cui Wenqi Huang Jing Cheng Seng Jia ... Xin Liu Hairong Zheng L. Ying Yanjie Zhu Dong Liang 73 20 0 09 Mar 2021
Deep Low-rank plus Sparse Network for Dynamic MR Imaging Wenqi Huang Ziwen Ke Zhuoxu Cui Jing Cheng Zhilang Qiu Sen Jia Leslie Ying Yanjie Zhu Dong Liang 94 74 0 26 Oct 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 59 70 0 29 Aug 2020
Learned convex regularizers for inverse problems Subhadip Mukherjee Sören Dittmer Zakhar Shumaylov Sebastian Lunz Ozan Oktem Carola-Bibiane Schönlieb 49 80 0 06 Aug 2020
End-to-End Variational Networks for Accelerated MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell Aaron Defazio C. L. Zitnick N. Yakubova Florian Knoll Patricia M. Johnson DRL 49 315 0 14 Apr 2020
Total Deep Variation for Linear Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock 50 89 0 14 Jan 2020
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR) Aniket Pramanik H. Aggarwal M. Jacob 50 60 0 07 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 434 42,393 0 03 Dec 2019
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography Harbir Antil Z. Di R. Khatri 49 50 0 22 Jul 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 48 602 0 14 Feb 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 65 843 0 21 Nov 2018
Adversarial Regularizers in Inverse Problems Sebastian Lunz Ozan Oktem Carola-Bibiane Schönlieb GAN MedIm 79 220 0 29 May 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 65 241 0 28 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,437 0 16 Feb 2018
200x Low-dose PET Reconstruction using Deep Learning Junshen Xu Enhao Gong John M. Pauly Greg Zaharchuk MedIm 34 133 0 12 Dec 2017
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 112 1,018 0 07 Dec 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 55 751 0 20 Jul 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 91 1,532 0 28 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 193 9,545 0 31 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 313 19,640 0 21 Nov 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 275 619 0 22 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 448 43,277 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014