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"

32 / 32 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 44 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 29 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
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images Hong Wang Minghao Zhou Dong Wei Yuexiang Li Yefeng Zheng 22 6 0 25 Jun 2023
Orthogonal SVD Covariance Conditioning and Latent Disentanglement Yue Song N. Sebe Wei Wang 40 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 57 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 23 6 0 15 Oct 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality Yue Song N. Sebe Wei Wang 24 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 45 6 0 16 Jun 2022
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data Shijun Liang Anish Lahiri S. Ravishankar 27 2 0 01 Jun 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio T. Leiner Pier Luigi Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 30 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 21 32 0 23 Dec 2021
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 40 18 0 14 Dec 2021
CSI Feedback with Model-Driven Deep Learning of Massive MIMO Systems Jianhua Guo Lei Wang Feng Li J. Xue 24 20 0 13 Dec 2021
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction D. Karkalousos S. Noteboom H. Hulst F. Vos M. Caan OOD AI4CE 25 10 0 30 Nov 2021
ADMM-DAD net: a deep unfolding network for analysis compressed sensing Vicky Kouni Georgios Paraskevopoulos Holger Rauhut G. C. Alexandropoulos 37 18 0 13 Oct 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 29 40 0 09 Dec 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian Dalca M. Sabuncu 31 26 0 29 Jul 2020
A Model-driven Deep Neural Network for Single Image Rain Removal Hong Wang Qi Xie Qian Zhao Deyu Meng 20 325 0 04 May 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 29 209 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 30 24 0 18 Dec 2019
Model-Driven Deep Learning for MIMO Detection Hengtao He Chao-Kai Wen Shi Jin Geoffrey Ye Li 13 18 0 22 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 35 122 0 23 Jun 2019
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network Yuxiang Dai Peixian Zhuang MedIm 28 30 0 11 Jun 2019
Tree Search Network for Sparse Regression Kyung-Su Kim Sae-Young Chung 17 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 21 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 24 214 0 10 Jan 2019
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems Risheng Liu Shichao Cheng Yi He Xin-Yue Fan Zhouchen Lin Zhongxuan Luo 29 68 0 16 Aug 2018
Deep Back Projection for Sparse-View CT Reconstruction Dong Hye Ye G. Buzzard M. Ruby Charles A. Bouman MedIm 27 30 0 06 Jul 2018
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI S. Dar Mahmut Yurt M. Shahdloo M. E. Ildiz Tolga Çukur MedIm 9 25 0 27 May 2018
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering Joseph Y. Cheng Feiyu Chen M. Alley John M. Pauly S. Vasanawala 21 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