finger1517 / awesome-mri-reconstruction

Awesome-MRI-Reconstruction

Papers

Review

• 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]

2021

• Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks (ICASSP) [paper]
• Brain MRI super-resolution using coupled-projection residual network (Neurocomputing) [paper]
• Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution (MedIA) [paper]
• Uncertainty Quantification in Deep MRI Reconstruction (TMI)[paper]
• Brain Surface Reconstruction from MRI Images based on Segmentation Networks Applying Signed Distance Maps (ISBI) [paper]
• Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction (ISBI) [paper]
• Calibrationless MRI Reconstruction With A Plug-In Denoiser (ISBI) [paper]
• Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI (CVPR) [paper]
• Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network (MICCAI) [paper] [code]
• Task Transformer Network for Joint MRI Reconstruction and Super-Resolution (MICCAI) [paper] [code]
• Over-and-Under Complete Convolutional RNN for MRI Reconstruction (MICCAI) [paper]
• Universal Undersampled MRI Reconstruction (MICCAI) [paper]
• Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization (MICCAI) [paper] [code]
• Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework (MICCAI) [paper] [code]
• Memory-Efficient Learning for High-Dimensional MRI Reconstruction (MICCAI) [paper] [code]
• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation (MICCAI) [paper]
• Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction (MICCAI) [paper]
• Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction (MICCAI) [paper]
• Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts (MICCAI) [paper] [code]
• DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images (MICCAI) [paper]
• Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution (MICCAI) [paper]
• Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images (MICCAI) [paper]
• MRI Super-Resolution Through Generative Degradation Learning (MICCAI) [paper]
• Data augmentation for deep learning based accelerated MRI reconstruction with limited data (ICML) [paper] [code]
• Deep Geometric Distillation Network for Compressive Sensing MRI (IEEE-EMBS BHI oral) [paper] [code]
• Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction (AAAI) [paper code]
• DONet: Dual-Octave Network for Fast MR Image Reconstruction (TNNLS) [paper]

2020

• DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR) [paper] [code]
• GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction (CVPR) [paper]
• Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI (TCI) [paper]
• Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images (MICCAI) [paper]
• End-to-End Variational Networks for Accelerated MRI Reconstruction (MICCAI) [paper]
• MRI Image Reconstruction via Learning Optimization Using Neural ODEs (MICCAI) [paper]
• Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction (MICCAI) [paper]
• Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness (MICCAI) [paper]
• Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image (MICCAI) [paper]
• CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction (MICCAI) [paper]

2019

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2018

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2017

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Datasets

• FastMRI dataset [paper] [code]
• IXI dataset
• T1-weighted axial brain images [paper] [code]
• Knee k-space dataset
• Calgary-Campinas brain MR raw data
• MICCAI 2013 challenge dataset
• MGH-USC HCP public database