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 151–160 of 441 papers

Title	Date	Tasks	Status	Score
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction	Aug 9, 2023	AnatomyImage Reconstruction	CodeCode Available	5
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction	Dec 1, 2019	compressed sensingMRI Reconstruction	CodeCode Available	5
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction	Jun 20, 2023	Image EnhancementImage Reconstruction	CodeCode Available	5
High-dimensional Fast Convolutional Framework (HICU) for Calibrationless MRI	Apr 19, 2020	compressed sensingMRI Reconstruction	CodeCode Available	5
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models	May 13, 2025	DenoisingMRI Reconstruction	CodeCode Available	5
Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation	Apr 5, 2021	Generative Adversarial NetworkImage-to-Image Translation	CodeCode Available	5
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction	Jul 18, 2022	MRI Reconstruction	CodeCode Available	5
Inference Stage Denoising for Undersampled MRI Reconstruction	Feb 12, 2024	Data AugmentationDenoising	CodeCode Available	5
Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification	Sep 11, 2023	Adversarial DefenseImage Reconstruction	CodeCode Available	5
Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems	Nov 21, 2024	compressed sensingImage Compressed Sensing	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