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 291–300 of 441 papers

Title	Date	Tasks	Status	Hype
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction	Nov 9, 2021	AnatomyImage Reconstruction	CodeCode Available	0
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction	Nov 3, 2021	Data AugmentationMRI Reconstruction	CodeCode Available	1
Zero-Shot Physics-Guided Deep Learning for Subject-Specific MRI Reconstruction	Oct 19, 2021	AnatomyDeep Learning	—Unverified	0
Greedy Learning for Large-Scale Neural MRI Reconstruction	Oct 19, 2021	MRI Reconstruction	—Unverified	0
Multi-Task Accelerated MR Reconstruction Schemes for Jointly Training Multiple Contrasts	Oct 19, 2021	DiagnosticMRI Reconstruction	CodeCode Available	0
SSFD: Self-Supervised Feature Distance as an MR Image Reconstruction Quality Metric	Oct 19, 2021	Image ReconstructionMRI Reconstruction	—Unverified	0
MRI Recovery with A Self-calibrated Denoiser	Oct 18, 2021	compressed sensingDenoising	—Unverified	0
Complex-valued Federated Learning with Differential Privacy and MRI Applications	Oct 7, 2021	Federated LearningMRI Reconstruction	—Unverified	0
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement	Oct 7, 2021	Image EnhancementImage-to-Image Translation	—Unverified	0
Accelerated First Order Methods for Variational Imaging	Oct 6, 2021	DenoisingMRI Reconstruction	CodeCode Available	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