Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data [paper]
arXiv papers
MRI Reconstruction Using Deep Energy-Based Model [paper] [Submited to Magnetic Resonance in Medicine]
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss [paper] [code] [Submited to Magnetic Resonance in Medicine]
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network [paper] [code]
Deep MRI Reconstruction with Radial Subsampling [paper] [code]
Multi-Modal MRI Reconstruction with Spatial Alignment Network [paper] [code]
Accelerated Multi-Modal MR Imaging with Transformers [paper] [code]
Accelerated MRI Reconstruction with Separable and Enhanced Low-Rank Hankel Regularization [paper]
Low-Rank and Framelet Based Sparsity Decomposition for Interventional MRI Reconstruction [paper]
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images [paper]
Memory-efficient Learning for High-Dimensional MRI Reconstruction [paper]
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI [paper]
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction [paper]
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization [paper]
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation [paper]
Zero-Shot Self-Supervised Learning for MRI Reconstruction [paper]
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks [paper] [code]
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers [paper]