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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 301–310 of 441 papers

Title	Date	Tasks	Status
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction	May 5, 2024	DenoisingHallucination	—Unverified
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction	Jun 15, 2022	AnatomyDe-aliasing	—Unverified
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction	Feb 18, 2019	compressed sensingGenerative Adversarial Network	—Unverified
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction	Sep 2, 2022	MRI ReconstructionSelf-Supervised Learning	—Unverified
Learning to Predict Error for MRI Reconstruction	Feb 13, 2020	Medical DiagnosisMRI Reconstruction	—Unverified
Smooth optimization algorithms for global and locally low-rank regularizers	May 9, 2025	MRI Reconstruction	—Unverified
SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation	Mar 23, 2025	DenoisingMRI Reconstruction	—Unverified
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields	Dec 25, 2015	Compressive SensingMRI Reconstruction	—Unverified
Sparse recovery based on the generalized error function	May 26, 2021	MRI Reconstruction	—Unverified
Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction	May 30, 2025	MRI ReconstructionSelf-Supervised Learning	—Unverified

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All datasets fastMRI Knee 8x fastMRI Knee Val 8x fastMRI Brain 4x fastMRI Brain 8x fastMRI Knee 4x IXI

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	HUMUS-Net (train+val data)	SSIM	0.89	—	Unverified
2	HUMUS-Net (train only)	SSIM	0.89	—	Unverified
3	End-to-end variational network	SSIM	0.89	—	Unverified
4	XPDNet	SSIM	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PromptMR	SSIM	0.9	—	Unverified
2	HUMUS-Net-L	SSIM	0.9	—	Unverified
3	HUMUS-Net	SSIM	0.89	—	Unverified
4	E2E-VarNet (train+val)	SSIM	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	End-to-end variational network	SSIM	0.96	—	Unverified
2	XPDNet	SSIM	0.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	End-to-end variational network	SSIM	0.94	—	Unverified
2	XPDNet	SSIM	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	End-to-end variational network	SSIM	0.93	—	Unverified
2	XPDNet	SSIM	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Residual U-NET	DSSIM	0	—	Unverified