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 101–150 of 441 papers

TitleStatusHype
A Trust-Guided Approach to MR Image Reconstruction with Side InformationCode0
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstructionCode0
Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and SynthesisCode0
Deep Generative Adversarial Networks for Compressed Sensing Automates MRICode0
Accelerated First Order Methods for Variational ImagingCode0
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled DataCode0
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI ReconstructionCode0
Reducing Uncertainty in Undersampled MRI Reconstruction with Active AcquisitionCode0
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI ReconstructionCode0
Multi-Task Accelerated MR Reconstruction Schemes for Jointly Training Multiple ContrastsCode0
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRICode0
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled DataCode0
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionCode0
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil ConfigurationsCode0
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity mapsCode0
Deep Geometric Distillation Network for Compressive Sensing MRICode0
Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow EstimationCode0
Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumorsCode0
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited DataCode0
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spacesCode0
Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)Code0
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine ImagingCode0
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionCode0
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI ReconstructionCode0
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight PredictionCode0
MambaRecon: MRI Reconstruction with Structured State Space ModelsCode0
LMO: Linear Mamba Operator for MRI ReconstructionCode0
Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI ReconstructionCode0
MDPG: Multi-domain Diffusion Prior Guidance for MRI ReconstructionCode0
MRI Reconstruction Using Deep Energy-Based ModelCode0
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty EstimationCode0
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI ReconstructionCode0
An unsupervised method for MRI recovery: Deep image prior with structured sparsityCode0
An Unsupervised Deep Learning Method for Multi-coil Cine MRICode0
Learning Deep MRI Reconstruction Models from Scratch in Low-Data RegimesCode0
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI ReconstructionCode0
K-space and Image Domain Collaborative Energy based Model for Parallel MRI ReconstructionCode0
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRICode0
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil SensitivitiesCode0
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space SubsetsCode0
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic LossCode0
Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation DiscretizationCode0
Inference Stage Denoising for Undersampled MRI ReconstructionCode0
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRICode0
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI ReconstructionCode0
A Motion Assessment Method for Reference Stack Selection in Fetal Brain MRI Reconstruction Based on Tensor Rank ApproximationCode0
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinementCode0
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI ReconstructionCode0
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion ModelsCode0
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI ReconstructionCode0
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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