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 131–140 of 441 papers

Title	Date	Tasks	Status	Hype
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction	Dec 28, 2023	DiagnosticMRI Reconstruction	—Unverified	0
Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)	Dec 18, 2023	MRI Reconstruction	CodeCode Available	0
Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization	Dec 15, 2023	Image InpaintingImage Reconstruction	CodeCode Available	0
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)	Dec 12, 2023	Adversarial Defenseimage-classification	CodeCode Available	0
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models	Dec 8, 2023	DenoisingImage Denoising	CodeCode Available	1
Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction	Dec 1, 2023	compressed sensingMRI Reconstruction	—Unverified	0
Dual-Domain Multi-Contrast MRI Reconstruction with Synthesis-based Fusion Network	Dec 1, 2023	MRI Reconstruction	—Unverified	0
Unsupervised Adaptive Implicit Neural Representation Learning for Scan-Specific MRI Reconstruction	Dec 1, 2023	MRI ReconstructionRepresentation Learning	—Unverified	0
SubZero: Subspace Zero-Shot MRI Reconstruction	Nov 28, 2023	MRI ReconstructionSelf-Supervised Learning	CodeCode Available	0
Joint Supervised and Self-supervised Learning for MRI Reconstruction	Nov 27, 2023	DiagnosticMRI Reconstruction	—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