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 51–100 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
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion ModelCode0
Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI ReconstructionCode0
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
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal EquivarianceCode0
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns—0
Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion Model—0
Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual LearningCode1
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling—0
MambaRecon: MRI Reconstruction with Structured State Space ModelsCode0
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature ScalingCode1
Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model—0
MR Optimized Reconstruction of Simultaneous Multi-Slice Imaging Using Diffusion Model—0
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative PriorsCode0
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructionsCode0
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine ImagingCode0
IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural RepresentationsCode1
MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion—0
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRICode0
ALMA: a mathematics-driven approach for determining tuning parameters in generalized LASSO problems, with applications to MRI—0
Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction—0
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction—0
Encoding Semantic Priors into the Weights of Implicit Neural Representation—0
Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals—0
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning—0
Motion-Informed Deep Learning for Brain MR Image Reconstruction Framework—0
Erase to Enhance: Data-Efficient Machine Unlearning in MRI ReconstructionCode0
Magnetic Resonance Image Processing Transformer for General Accelerated Image Reconstruction—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