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 371–380 of 441 papers

Title	Date	Tasks	Status
GRAPPA-GANs for Parallel MRI Reconstruction	Jan 5, 2021	Generative Adversarial NetworkMRI Reconstruction	—Unverified
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction	Oct 27, 2019	compressed sensingMRI Reconstruction	—Unverified
Greedy Learning for Large-Scale Neural MRI Reconstruction	Oct 19, 2021	MRI Reconstruction	—Unverified
Guided MRI Reconstruction via Schrödinger Bridge	Nov 21, 2024	MRI Reconstruction	—Unverified
Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty	Feb 28, 2025	MRI ReconstructionQuantitative MRI	—Unverified
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks	May 12, 2020	Deep LearningMRI Reconstruction	—Unverified
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss	Jul 21, 2021	Generative Adversarial NetworkMRI Reconstruction	—Unverified
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction	Jan 3, 2023	MRI ReconstructionTransfer Learning	—Unverified
How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction?	Mar 13, 2025	Image RegistrationMRI Reconstruction	—Unverified
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference	May 9, 2025	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