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 351–360 of 441 papers

Title	Date	Tasks	Status
Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation	Apr 5, 2021	Generative Adversarial NetworkImage-to-Image Translation	CodeCode Available
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets	Aug 5, 2023	MRI Reconstruction	CodeCode Available
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models	May 13, 2025	DenoisingMRI Reconstruction	CodeCode Available
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction	Mar 21, 2022	MRI Reconstruction	CodeCode Available
High-dimensional Fast Convolutional Framework (HICU) for Calibrationless MRI	Apr 19, 2020	compressed sensingMRI Reconstruction	CodeCode Available
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction	Jul 18, 2022	MRI Reconstruction	CodeCode Available
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks	Jul 13, 2023	Image ReconstructionInductive Bias	CodeCode Available
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction	Sep 2, 2023	MRI ReconstructionTAR	CodeCode Available
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction	Aug 25, 2019	DiagnosticGenerative Adversarial Network	CodeCode Available
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction	Feb 19, 2025	BenchmarkingMRI Reconstruction	CodeCode Available

Show:10 25 50

← PrevPage 36 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