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

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Showing 151–200 of 441 papers

TitleStatusHype
Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction—0
Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations—0
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction—0
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction—0
Identification of Novel Diagnostic Neuroimaging Biomarkers for Autism Spectrum Disorder Through Convolutional Neural Network-Based Analysis of Functional, Structural, and Diffusion Tensor Imaging Data Towards Enhanced Autism Diagnosis—0
Image Restoration by Combined Order Regularization with Optimal Spatial Adaptation—0
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction—0
How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction?—0
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI—0
A New k-Space Model for Non-Cartesian Fourier Imaging—0
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance—0
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI—0
Addressing The False Negative Problem of MRI Reconstruction Networks by Adversarial Attacks and Robust Training—0
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference—0
Encoding Semantic Priors into the Weights of Implicit Neural Representation—0
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI—0
Complex-valued Federated Learning with Differential Privacy and MRI Applications—0
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction—0
Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction—0
Enhanced MRI Reconstruction Network using Neural Architecture Search—0
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions—0
An All-in-one Approach for Accelerated Cardiac MRI Reconstruction—0
eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction—0
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network—0
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions—0
Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction—0
Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review—0
MRI Reconstruction with Side Information using Diffusion Models—0
Edge-weighted pFISTA-Net for MRI Reconstruction—0
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information—0
Coil Sketching for computationally-efficient MR iterative reconstruction—0
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study—0
Dynamic MRI using Learned Transform-based Tensor Low-Rank Network (LT^2LR-Net)—0
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction—0
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI—0
Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction—0
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction—0
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction—0
Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization—0
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP—0
From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction—0
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network—0
GA-HQS: MRI reconstruction via a generically accelerated unfolding approach—0
Generalising Deep Learning MRI Reconstruction across Different Domains—0
CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation—0
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives—0
Dynamic-Aware Spatio-temporal Representation Learning for Dynamic MRI Reconstruction—0
Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction—0
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction—0
Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field—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