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 201–210 of 441 papers

Title	Date	Tasks	Status
Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field	Mar 19, 2023	Deep LearningLayout Design	—Unverified
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction	Feb 18, 2023	MRI ReconstructionSelf-Supervised Learning	—Unverified
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
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction	Mar 28, 2022	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
Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty	Feb 28, 2025	MRI ReconstructionQuantitative MRI	—Unverified
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction	Mar 25, 2025	MRI ReconstructionSelf-Supervised Learning	—Unverified
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction	Sep 19, 2022	compressed sensingDe-aliasing	—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