ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

19 May 2017

Papers citing "ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI"

23 / 23 papers shown

Title
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction Yucong Meng Zhiwei Yang Minghong Duan Yonghong Shi Zhijian Song 36 1 0 18 Nov 2024
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts Han Cui A. D. Goyeneche Efrat Shimron Boyuan Ma Michael Lustig 26 0 0 01 May 2024
Outlier Detection Using Generative Models with Theoretical Performance Guarantees Jirong Yi A. D. Le Tianming Wang Xiaodong Wu Weiyu Xu 27 3 0 16 Oct 2023
Orthogonal SVD Covariance Conditioning and Latent Disentanglement Yue Song N. Sebe Wei Wang 26 6 0 11 Dec 2022
Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction Wei Zhang Zengwei Xiao Hui Tao Minghui Zhang Xiaoling Xu Qiegen Liu MedIm 46 1 0 11 Dec 2022
Hand Gestures Recognition in Videos Taken with Lensless Camera Yinger Zhang Zhouyi Wu Peiying Lin Yang Pan Yuting Wu Liufang Zhang J. Huangfu 3DH 18 6 0 15 Oct 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality Yue Song N. Sebe Wei Wang 13 8 0 05 Jul 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 37 6 0 16 Jun 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio' T. Leiner P. Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 24 87 0 23 Dec 2021
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images Hong Wang Yuexiang Li Haimiao Zhang Deyu Meng Yefeng Zheng MedIm 16 31 0 23 Dec 2021
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 32 18 0 14 Dec 2021
ADMM-DAD net: a deep unfolding network for analysis compressed sensing Vicky Kouni Georgios Paraskevopoulos Holger Rauhut G. C. Alexandropoulos 29 18 0 13 Oct 2021
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian V. Dalca M. Sabuncu 25 26 0 29 Jul 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge Florian Knoll Tullie Murrell Anuroop Sriram N. Yakubova Jure Zbontar ... Aaron Defazio Matthew Muckley D. Sodickson C. L. Zitnick M. Recht 19 208 0 06 Jan 2020
$Σ$ -net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction Kerstin Hammernik Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Daniel Rueckert 24 24 0 18 Dec 2019
Model-Driven Deep Learning for MIMO Detection Hengtao He Chao-Kai Wen Shi Jin Geoffrey Ye Li 10 18 0 22 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 29 122 0 23 Jun 2019
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network Yuxiang Dai Peixian Zhuang MedIm 13 30 0 11 Jun 2019
Tree Search Network for Sparse Regression Kyung-Su Kim Sae-Young Chung 12 1 0 01 Apr 2019
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning Joseph Y. Cheng Feiyu Chen Christopher M. Sandino Morteza Mardani John M. Pauly S. Vasanawala 11 12 0 19 Mar 2019
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net Qi Xie Minghao Zhou Qian Zhao Deyu Meng W. Zuo Zongben Xu 16 213 0 10 Jan 2019
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering Joseph Y. Cheng Feiyu Chen M. Alley John M. Pauly S. Vasanawala 13 43 0 08 May 2018
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks S. Dar Muzaffer Özbey Ahmet Burak Çatlı Tolga Çukur MedIm OOD 20 165 0 07 Oct 2017