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 21–30 of 441 papers

Title	Date	Tasks	Status	Hype
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions	May 4, 2025	Deep LearningMRI Reconstruction	—Unverified	0
Learned Primal Dual Splitting for Self-Supervised Noise-Adaptive MRI Reconstruction	Apr 21, 2025	DenoisingMRI Reconstruction	—Unverified	0
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation	Apr 10, 2025	DiagnosticMRI Reconstruction	CodeCode Available	1
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction	Mar 25, 2025	MRI ReconstructionSelf-Supervised Learning	—Unverified	0
Dual-domain Multi-path Self-supervised Diffusion Model for Accelerated MRI Reconstruction	Mar 24, 2025	DiagnosticMRI Reconstruction	—Unverified	0
SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation	Mar 23, 2025	DenoisingMRI Reconstruction	—Unverified	0
How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction?	Mar 13, 2025	Image RegistrationMRI Reconstruction	—Unverified	0
A Comprehensive Survey on Magnetic Resonance Image Reconstruction	Mar 10, 2025	DiagnosticImage Reconstruction	—Unverified	0
Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach	Mar 7, 2025	MRI ReconstructionSSIM	—Unverified	0
Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations	Mar 7, 2025	Anatomycompressed sensing	—Unverified	0

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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