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 201–210 of 441 papers

Title	Date	Tasks	Status
Attention Hybrid Variational Net for Accelerated MRI Reconstruction	Jun 21, 2023	compressed sensingMRI Reconstruction	—Unverified
A Comprehensive Survey on Magnetic Resonance Image Reconstruction	Mar 10, 2025	DiagnosticImage Reconstruction	—Unverified
Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction	Dec 1, 2023	compressed sensingMRI Reconstruction	—Unverified
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks	Oct 7, 2017	4kMRI Reconstruction	—Unverified
Deep Cardiac MRI Reconstruction with ADMM	Oct 10, 2023	AnatomyDynamic Reconstruction	—Unverified
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness	Jun 23, 2020	Compressive SensingDeep Learning	—Unverified
ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction	Nov 25, 2024	MRI Reconstruction	—Unverified
MCU-Net: A Multi-prior Collaborative Deep Unfolding Network with Gates-controlled Spatial Attention for Accelerated MR Image Reconstruction	Feb 4, 2024	Image ReconstructionMRI Reconstruction	—Unverified
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction	Apr 28, 2023	DiagnosticMRI Reconstruction	—Unverified
A Self-supervised Diffusion Bridge for MRI Reconstruction	Jan 6, 2025	compressed sensingDenoising	—Unverified

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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