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 271–280 of 441 papers

Title	Date	Tasks	Status
On the Robustness of deep learning-based MRI Reconstruction to image transformations	Nov 9, 2022	image-classificationImage Classification	—Unverified
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems	Jan 1, 2024	DeblurringImage Deblurring	—Unverified
Over-and-Under Complete Convolutional RNN for MRI Reconstruction	Jun 16, 2021	compressed sensingImage Reconstruction	—Unverified
Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI	May 20, 2024	Generative Adversarial NetworkMRI Reconstruction	—Unverified
Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction	May 29, 2025	MRI Reconstruction	—Unverified
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging	Mar 23, 2022	Deep LearningMRI Reconstruction	—Unverified
Physics-driven Deep Learning for PET/MRI	Jun 11, 2022	Deep LearningMRI Reconstruction	—Unverified
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence	Oct 20, 2022	Deep LearningDiffusion MRI	—Unverified
pISTA-SENSE-ResNet for Parallel MRI Reconstruction	Sep 24, 2019	Deep LearningImage Reconstruction	—Unverified
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification	Feb 28, 2023	Image ReconstructionMRI Reconstruction	—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