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 331–340 of 441 papers

Title	Date	Tasks	Status	Hype
Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation	Apr 5, 2021	Generative Adversarial NetworkImage-to-Image Translation	CodeCode Available	0
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks	Mar 13, 2021	compressed sensingDeep Learning	CodeCode Available	0
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors	Mar 13, 2021	Few-Shot LearningMRI Reconstruction	—Unverified	0
Universal Undersampled MRI Reconstruction	Mar 9, 2021	AnatomyMRI Reconstruction	—Unverified	0
Memory-efficient Learning for High-Dimensional MRI Reconstruction	Mar 6, 2021	compressed sensingGPU	—Unverified	0
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization	Mar 2, 2021	compressed sensingDeep Learning	CodeCode Available	1
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations	Feb 25, 2021	MRI Reconstruction	—Unverified	0
Zero-Shot Self-Supervised Learning for MRI Reconstruction	Feb 15, 2021	AnatomyMRI Reconstruction	CodeCode Available	1
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction	Feb 12, 2021	MRI Reconstruction	—Unverified	0
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge	Feb 4, 2021	MRI ReconstructionSSIM	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