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	Hype
Learning Multiscale Convolutional Dictionaries for Image Reconstruction	Nov 25, 2020	Dictionary LearningImage Reconstruction	CodeCode Available	1
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems	Nov 16, 2020	DenoisingMRI Reconstruction	CodeCode Available	0
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations	Nov 10, 2020	Experimental DesignImage Reconstruction	CodeCode Available	0
Adversarial Robust Training of Deep Learning MRI Reconstruction Models	Oct 30, 2020	Deep LearningImage Reconstruction	CodeCode Available	1
Deep Low-rank plus Sparse Network for Dynamic MR Imaging	Oct 26, 2020	compressed sensingMRI Reconstruction	CodeCode Available	1
Risk Quantification in Deep MRI Reconstruction	Oct 23, 2020	MRI Reconstruction	—Unverified	0
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge	Oct 15, 2020	Image ReconstructionMRI Reconstruction	CodeCode Available	1
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding	Oct 8, 2020	Data CompressionImage Compression	—Unverified	0
Unsupervised MRI Reconstruction with Generative Adversarial Networks	Aug 29, 2020	Deep LearningImage Reconstruction	CodeCode Available	1
Enhanced MRI Reconstruction Network using Neural Architecture Search	Aug 19, 2020	MRI ReconstructionNeural Architecture Search	—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