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 426–441 of 441 papers

TitleStatusHype
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network—0
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction—0
A Deep Error Correction Network for Compressed Sensing MRI—0
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery—0
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks—0
Deep learning for undersampled MRI reconstruction—0
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic LossCode0
Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow EstimationCode0
Deep Generative Adversarial Networks for Compressed Sensing Automates MRICode0
On the Empirical Effect of Gaussian Noise in Under-sampled MRI Reconstruction—0
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields—0
Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation—0
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder—0
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction—0
Low-Rank and Sparse Matrix Decomposition with a-priori knowledge for Dynamic 3D MRI reconstruction—0
Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI—0
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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