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

Showing 241250 of 441 papers

TitleStatusHype
Low-Rank and Sparse Matrix Decomposition with a-priori knowledge for Dynamic 3D MRI reconstruction0
Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction0
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction0
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction0
Magnetic Resonance Image Processing Transformer for General Accelerated Image Reconstruction0
Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion0
Memory-efficient Learning for High-Dimensional MRI Reconstruction0
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations0
MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion0
Model-based free-breathing cardiac MRI reconstruction using deep learned \& STORM priors: MoDL-STORM0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HUMUS-Net (train+val data)SSIM0.89Unverified
2HUMUS-Net (train only)SSIM0.89Unverified
3End-to-end variational networkSSIM0.89Unverified
4XPDNetSSIM0.89Unverified
#ModelMetricClaimedVerifiedStatus
1PromptMRSSIM0.9Unverified
2HUMUS-Net-LSSIM0.9Unverified
3HUMUS-NetSSIM0.89Unverified
4E2E-VarNet (train+val)SSIM0.89Unverified
#ModelMetricClaimedVerifiedStatus
1End-to-end variational networkSSIM0.96Unverified
2XPDNetSSIM0.96Unverified
#ModelMetricClaimedVerifiedStatus
1End-to-end variational networkSSIM0.94Unverified
2XPDNetSSIM0.94Unverified
#ModelMetricClaimedVerifiedStatus
1End-to-end variational networkSSIM0.93Unverified
2XPDNetSSIM0.93Unverified
#ModelMetricClaimedVerifiedStatus
1Residual U-NETDSSIM0Unverified