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 281290 of 441 papers

TitleStatusHype
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance0
Stable Deep MRI Reconstruction using Generative Priors0
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging0
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence0
A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation0
Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDUCode0
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction0
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction0
MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolationCode0
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spacesCode0
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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