Related references
Note: Only part of the references are listed.Triple-D network for efficient undersampled magnetic resonance images reconstruction
Zhao Li et al.
MAGNETIC RESONANCE IMAGING (2021)
One Network to Solve Them All: A Sequential Multi-task Joint Learning Network Framework for MR Imaging Pipeline
Zhiwen Wang et al.
MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION (MLMIR 2021) (2021)
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
Di You et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)
Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks
Dong Liang et al.
IEEE SIGNAL PROCESSING MAGAZINE (2020)
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks
Bihan Wen et al.
IEEE SIGNAL PROCESSING MAGAZINE (2020)
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing
Yan Yang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Optimization-Inspired Compact Deep Compressive Sensing
Jian Zhang et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2020)
Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction
Jiangpeng Yan et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2020)
Automated Regularization Parameter Selection Using Continuation Based Proximal Method for Compressed Sensing MRI
Raji Susan Mathew et al.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING (2020)
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
Yiling Liu et al.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING (2020)
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI
Morteza Mardani et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
Chen Qin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Denoising Prior Driven Deep Neural Network for Image Restoration
Weisheng Dong et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
Model Learning: Primal Dual Networks for Fast MR Imaging
Jing Cheng et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT III (2019)
sRAKI-RNN: Accelerated MRI with Scan-Specific Recurrent Neural Networks using Densely Connected Blocks
Seyed Amir Hossein Hosseini et al.
WAVELETS AND SPARSITY XVIII (2019)
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
Guang Yang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Learned Primal-Dual Reconstruction
Jonas Adler et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Image Reconstruction Is a New Frontier of Machine Learning
Ge Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images
Taejoon Eo et al.
MAGNETIC RESONANCE IN MEDICINE (2018)
Deep learning for undersampled MRI reconstruction
Chang Min Hyun et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
Jian Zhang et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction
Zhifang Zhan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2016)
Two-Layer Tight Frame Sparsifying Model for Compressed Sensing Magnetic Resonance Imaging
Shanshan Wang et al.
BIOMED RESEARCH INTERNATIONAL (2016)
Compressive Sensing via Nonlocal Low-Rank Regularization
Weisheng Dong et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2014)
Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator
Xiaobo Qu et al.
MEDICAL IMAGE ANALYSIS (2014)
An efficient augmented Lagrangian method with applications to total variation minimization
Chengbo Li et al.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2013)
MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning
Saiprasad Ravishankar et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2011)
Sensitivity Encoding Reconstruction With Nonlocal Total Variation Regularization
Dong Liang et al.
MAGNETIC RESONANCE IN MEDICINE (2011)
k-t Group Sparse: A Method for Accelerating Dynamic MRI
M. Usman et al.
MAGNETIC RESONANCE IN MEDICINE (2011)
A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data
Junfeng Yang et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2010)
Fast Image Recovery Using Variable Splitting and Constrained Optimization
Manya V. Afonso et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)
Iterative hard thresholding for compressed sensing
Thomas Blumensath et al.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2009)
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Amir Beck et al.
SIAM JOURNAL ON IMAGING SCIENCES (2009)
Compressed sensing MRI
Michael Lustig et al.
IEEE SIGNAL PROCESSING MAGAZINE (2008)
Single-pixel imaging via compressive sampling
Marco F. Duarte et al.
IEEE SIGNAL PROCESSING MAGAZINE (2008)
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI
Alexander Andreopoulos et al.
MEDICAL IMAGE ANALYSIS (2008)
Sparse MRI: The application of compressed sensing for rapid MR imaging
Michael Lustig et al.
MAGNETIC RESONANCE IN MEDICINE (2007)
Near-optimal signal recovery from random projections: Universal encoding strategies?
Emmanuel J. Candes et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
Compressed sensing
DL Donoho
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
Share Paper
