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 221–230 of 441 papers

Title	Date	Tasks	Status	Hype
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction	Jan 3, 2023	MRI ReconstructionTransfer Learning	—Unverified	0
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction	Jan 1, 2023	MRI ReconstructionSuper-Resolution	CodeCode Available	1
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction	Dec 31, 2022	MRI Reconstruction	—Unverified	0
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging	Dec 14, 2022	Image GenerationMRI Reconstruction	—Unverified	0
CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation	Dec 4, 2022	Cloud Computingcompressed sensing	—Unverified	0
Deep unfolding as iterative regularization for imaging inverse problems	Nov 24, 2022	MRI Reconstruction	—Unverified	0
A Neural-Network-Based Convex Regularizer for Inverse Problems	Nov 22, 2022	DenoisingImage Reconstruction	CodeCode Available	1
On the Robustness of deep learning-based MRI Reconstruction to image transformations	Nov 9, 2022	image-classificationImage Classification	—Unverified	0
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance	Oct 26, 2022	compressed sensingMRI Reconstruction	—Unverified	0
Stable Deep MRI Reconstruction using Generative Priors	Oct 25, 2022	Decision MakingImage Reconstruction	—Unverified	0

Show:10 25 50

← PrevPage 23 of 45Next →

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