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 261–270 of 441 papers

Title	Date	Tasks	Status	Hype
Accelerated MRI With Deep Linear Convolutional Transform Learning	Apr 17, 2022	compressed sensingImage Reconstruction	—Unverified	0
Fast Multi-grid Methods for Minimizing Curvature Energy	Apr 17, 2022	Computational EfficiencyDenoising	CodeCode Available	0
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis	Apr 8, 2022	AnatomyBilevel Optimization	—Unverified	0
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers	Apr 1, 2022	AnatomyDeep Learning	—Unverified	0
Monarch: Expressive Structured Matrices for Efficient and Accurate Training	Apr 1, 2022	Language ModelingLanguage Modelling	CodeCode Available	1
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction	Mar 30, 2022	MRI ReconstructionSSIM	—Unverified	0
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction	Mar 28, 2022	MRI Reconstruction	—Unverified	0
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging	Mar 23, 2022	Deep LearningMRI Reconstruction	—Unverified	0
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction	Mar 21, 2022	MRI Reconstruction	CodeCode Available	0
Rethinking the optimization process for self-supervised model-driven MRI reconstruction	Mar 18, 2022	Deep LearningImage 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