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 161–170 of 441 papers

Title	Date	Tasks	Status
Encoding Semantic Priors into the Weights of Implicit Neural Representation	Jun 6, 2024	CT ReconstructionMRI Reconstruction	—Unverified
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI	Jun 21, 2023	Image ReconstructionMRI Reconstruction	—Unverified
Complex-valued Federated Learning with Differential Privacy and MRI Applications	Oct 7, 2021	Federated LearningMRI Reconstruction	—Unverified
Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction	Aug 11, 2019	compressed sensingDecoder	—Unverified
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions	May 4, 2025	Deep LearningMRI Reconstruction	—Unverified
An All-in-one Approach for Accelerated Cardiac MRI Reconstruction	Nov 16, 2024	AllImage Reconstruction	—Unverified
Edge-weighted pFISTA-Net for MRI Reconstruction	Feb 15, 2023	Deep LearningEdge Detection	—Unverified
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information	Dec 10, 2021	Generative Adversarial NetworkImage Reconstruction	—Unverified
Coil Sketching for computationally-efficient MR iterative reconstruction	May 10, 2023	compressed sensingComputational Efficiency	—Unverified
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study	May 30, 2025	Computational EfficiencyEdge-computing	—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