SOTAVerified

MRI Reconstruction

In its most basic form, MRI reconstruction consists in retrieving a complex-valued image from its under-sampled Fourier coefficients. Besides, it can be addressed as a encoder-decoder task, in which the normative model in the latent space will only capture the relevant information without noise or corruptions. Then, we decode the latent space in order to have a reconstructed MRI.

Papers

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Showing 401–441 of 441 papers

TitleStatusHype
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil ConfigurationsCode0
An Unsupervised Deep Learning Method for Multi-coil Cine MRICode0
AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI ReconstructionCode0
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructionsCode0
Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumorsCode0
Time-Dependent Deep Image Prior for Dynamic MRICode0
Multi-Task Accelerated MR Reconstruction Schemes for Jointly Training Multiple ContrastsCode0
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRICode0
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI ReconstructionCode0
Deep Geometric Distillation Network for Compressive Sensing MRICode0
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRICode0
Self-supervised feature learning for cardiac Cine MR image reconstructionCode0
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinementCode0
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity mapsCode0
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty EstimationCode0
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled DataCode0
Self-Supervised Learning of Physics-Guided Reconstruction Neural Networks without Fully-Sampled Reference DataCode0
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI ReconstructionCode0
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI ReconstructionCode0
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstructionCode0
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled DataCode0
Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency RegularizationCode0
Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDUCode0
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstructionCode0
Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and SynthesisCode0
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI ReconstructionCode0
Deep Generative Adversarial Networks for Compressed Sensing Automates MRICode0
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI ReconstructionCode0
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRICode0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionCode0
MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolationCode0
Adversarial and Perceptual Refinement for Compressed Sensing MRI ReconstructionCode0
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse ProblemsCode0
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil SensitivitiesCode0
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI ReconstructionCode0
Unveiling Fairness Biases in Deep Learning-Based Brain MRI ReconstructionCode0
Uncertainty-Aware Null Space Networks for Data-Consistent Image ReconstructionCode0
Uncertainty Estimation and Propagation in Accelerated MRI ReconstructionCode0
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI ReconstructionCode0
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative PriorsCode0
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All datasetsfastMRI Knee 8xfastMRI Knee Val 8xfastMRI Brain 4xfastMRI Brain 8xfastMRI Knee 4xIXI

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HUMUS-Net (train+val data)SSIM0.89—Unverified
2HUMUS-Net (train only)SSIM0.89—Unverified
3End-to-end variational networkSSIM0.89—Unverified
4XPDNetSSIM0.89—Unverified
#ModelMetricClaimedVerifiedStatus
1PromptMRSSIM0.9—Unverified
2HUMUS-Net-LSSIM0.9—Unverified
3HUMUS-NetSSIM0.89—Unverified
4E2E-VarNet (train+val)SSIM0.89—Unverified
#ModelMetricClaimedVerifiedStatus
1End-to-end variational networkSSIM0.96—Unverified
2XPDNetSSIM0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1End-to-end variational networkSSIM0.94—Unverified
2XPDNetSSIM0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1End-to-end variational networkSSIM0.93—Unverified
2XPDNetSSIM0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1Residual U-NETDSSIM0—Unverified