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 151–160 of 441 papers

Title	Date	Tasks	Status	Hype
Deep Cardiac MRI Reconstruction with ADMM	Oct 10, 2023	AnatomyDynamic Reconstruction	—Unverified	0
Score-based Diffusion Models With Self-supervised Learning For Accelerated 3D Multi-contrast Cardiac Magnetic Resonance Imaging	Oct 7, 2023	compressed sensingMRI Reconstruction	—Unverified	0
Multi-scale MRI reconstruction via dilated ensemble networks	Oct 7, 2023	MRI Reconstruction	—Unverified	0
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models	Oct 3, 2023	MRI Reconstruction	CodeCode Available	1
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps	Sep 27, 2023	Image ReconstructionMRI Reconstruction	CodeCode Available	0
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction	Sep 25, 2023	Deep LearningFairness	CodeCode Available	0
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction	Sep 25, 2023	GPUMRI Reconstruction	CodeCode Available	1
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement	Sep 23, 2023	Image Super-ResolutionMRI Reconstruction	CodeCode Available	0
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer	Sep 19, 2023	AnatomyComputational Efficiency	—Unverified	0
vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-Problems	Sep 18, 2023	compressed sensingMRI Reconstruction	CodeCode Available	2

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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