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 91–100 of 441 papers

Title	Date	Tasks	Status	Hype
ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning	Jan 8, 2025	Anatomycompressed sensing	CodeCode Available	1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain	Jan 19, 2021	Data AugmentationDimensionality Reduction	CodeCode Available	1
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting	Mar 3, 2025	Computational EfficiencyDenoising	CodeCode Available	1
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network	Aug 12, 2021	MRI Reconstruction	CodeCode Available	1
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks	Jul 26, 2019	Deep LearningImage Reconstruction	—Unverified	0
A Comprehensive Survey on Magnetic Resonance Image Reconstruction	Mar 10, 2025	DiagnosticImage Reconstruction	—Unverified	0
Attention Hybrid Variational Net for Accelerated MRI Reconstruction	Jun 21, 2023	compressed sensingMRI Reconstruction	—Unverified	0
DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction	Jun 12, 2025	MRI Reconstruction	—Unverified	0
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks	Oct 7, 2017	4kMRI Reconstruction	—Unverified	0
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	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