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 351–360 of 441 papers

Title	Date	Tasks	Status
Edge-weighted pFISTA-Net for MRI Reconstruction	Feb 15, 2023	Deep LearningEdge Detection	—Unverified
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions	May 4, 2025	Deep LearningMRI Reconstruction	—Unverified
Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction	Aug 11, 2019	compressed sensingDecoder	—Unverified
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI	Jun 21, 2023	Image ReconstructionMRI Reconstruction	—Unverified
Encoding Semantic Priors into the Weights of Implicit Neural Representation	Jun 6, 2024	CT ReconstructionMRI Reconstruction	—Unverified
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI	Mar 15, 2024	Dynamic ReconstructionMRI Reconstruction	—Unverified
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction	Sep 23, 2021	Deep LearningImage Reconstruction	—Unverified
Enhanced MRI Reconstruction Network using Neural Architecture Search	Aug 19, 2020	MRI ReconstructionNeural Architecture Search	—Unverified
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI	Dec 18, 2021	MRI ReconstructionRolling Shutter Correction	—Unverified
eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction	Jul 7, 2021	MRI Reconstruction	—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