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 241–250 of 441 papers

Title	Date	Tasks	Status
Universal Undersampled MRI Reconstruction	Mar 9, 2021	AnatomyMRI Reconstruction	—Unverified
Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching	Feb 24, 2025	compressed sensingDenoising	—Unverified
Unsupervised Adaptive Implicit Neural Representation Learning for Scan-Specific MRI Reconstruction	Dec 1, 2023	MRI ReconstructionRepresentation Learning	—Unverified
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising	May 7, 2022	Deep LearningDenoising	—Unverified
Uncertainty Quantification in Deep MRI Reconstruction	Jan 31, 2019	DiagnosticMRI Reconstruction	—Unverified
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models	Apr 30, 2024	3D ReconstructionDiagnostic	—Unverified
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space	Apr 20, 2019	Deep LearningMRI Reconstruction	—Unverified
Zero-Shot Physics-Guided Deep Learning for Subject-Specific MRI Reconstruction	Oct 19, 2021	AnatomyDeep Learning	—Unverified
DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction	Jun 12, 2025	MRI Reconstruction	—Unverified
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation	Dec 17, 2024	CT ReconstructionData Augmentation	—Unverified

Show:10 25 50

← PrevPage 25 of 45Next →

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