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 171–180 of 441 papers

Title	Date	Tasks	Status	Score
Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems	Nov 21, 2024	compressed sensingImage Compressed Sensing	CodeCode Available	5
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI	Jun 20, 2023	AnatomyDiagnostic	CodeCode Available	5
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction	Jul 18, 2022	MRI Reconstruction	CodeCode Available	5
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction	May 24, 2024	Image-to-Image TranslationMachine Unlearning	CodeCode Available	5
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction	Feb 19, 2025	BenchmarkingMRI Reconstruction	CodeCode Available	5
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems	Nov 16, 2020	DenoisingMRI Reconstruction	CodeCode Available	5
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks	Jul 13, 2023	Image ReconstructionInductive Bias	CodeCode Available	5
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction	Nov 20, 2023	MRI Reconstruction	CodeCode Available	5
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks	Mar 13, 2021	compressed sensingDeep Learning	CodeCode Available	5
Fast Multi-grid Methods for Minimizing Curvature Energy	Apr 17, 2022	Computational EfficiencyDenoising	CodeCode Available	5

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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