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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 441 papers

TitleStatusHype
LMO: Linear Mamba Operator for MRI ReconstructionCode0
AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI ReconstructionCode0
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)—0
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization—0
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation—0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation—0
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification—0
Self-Consistent Nested Diffusion Bridge for Accelerated MRI Reconstruction—0
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-DecoderCode1
ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction—0
Guided MRI Reconstruction via Schrödinger Bridge—0
Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging ProblemsCode0
Robust multi-coil MRI reconstruction via self-supervised denoisingCode0
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction—0
An All-in-one Approach for Accelerated Cardiac MRI Reconstruction—0
On the Foundation Model for Cardiac MRI Reconstruction—0
A Learned Proximal Alternating Minimization Algorithm and Its Induced Network for a Class of Two-block Nonconvex and Nonsmooth Optimization—0
Benchmarking 3D multi-coil NC-PDNet MRI reconstruction—0
Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI ReconstructionCode0
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion ModelCode0
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior—0
Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction—0
Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network—0
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionCode0
SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures—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