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 321–330 of 441 papers

Title	Date	Tasks	Status	Hype
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution	Jun 12, 2021	Image ReconstructionImage Super-Resolution	CodeCode Available	1
Is good old GRAPPA dead?	Jun 1, 2021	MRI Reconstruction	CodeCode Available	1
Sparse recovery based on the generalized error function	May 26, 2021	MRI Reconstruction	—Unverified	0
Covariance-Free Sparse Bayesian Learning	May 21, 2021	compressed sensingMRI Reconstruction	—Unverified	0
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI	May 19, 2021	Image ReconstructionMRI Reconstruction	—Unverified	0
Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning	May 17, 2021	Deep LearningMRI Reconstruction	—Unverified	0
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction	May 17, 2021	Image ReconstructionMRI Reconstruction	CodeCode Available	0
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers	May 15, 2021	Image ReconstructionMRI Reconstruction	CodeCode Available	1
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning	May 10, 2021	MRI ReconstructionSelf-Supervised Learning	—Unverified	0
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives	May 4, 2021	Compressive SensingMRI 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