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 426441 of 441 papers

TitleStatusHype
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations0
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction0
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction0
On the Empirical Effect of Gaussian Noise in Under-sampled MRI Reconstruction0
On the Foundation Model for Cardiac MRI Reconstruction0
On the Robustness of deep learning-based MRI Reconstruction to image transformations0
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems0
Over-and-Under Complete Convolutional RNN for MRI Reconstruction0
Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI0
Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction0
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging0
Physics-driven Deep Learning for PET/MRI0
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence0
pISTA-SENSE-ResNet for Parallel MRI Reconstruction0
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification0
Predicting 4D Liver MRI for MR-guided Interventions0
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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