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 311–320 of 441 papers

Title	Date	Tasks	Status
Cross-Modal Vertical Federated Learning for MRI Reconstruction	Jun 5, 2023	DisentanglementFederated Learning	—Unverified
Self-Consistent Nested Diffusion Bridge for Accelerated MRI Reconstruction	Dec 13, 2024	DenoisingMRI Reconstruction	—Unverified
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction	Mar 25, 2025	MRI ReconstructionSelf-Supervised Learning	—Unverified
Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies	Jan 29, 2024	DiagnosticFederated Learning	—Unverified
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers	Apr 1, 2022	AnatomyDeep Learning	—Unverified
Data augmentation for deep learning based accelerated MRI reconstruction	Jan 1, 2021	Data AugmentationDeep Learning	—Unverified
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction	Apr 28, 2023	DiagnosticMRI Reconstruction	—Unverified
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness	Jun 23, 2020	Compressive SensingDeep Learning	—Unverified
Deep Cardiac MRI Reconstruction with ADMM	Oct 10, 2023	AnatomyDynamic Reconstruction	—Unverified
Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction	Dec 1, 2023	compressed sensingMRI 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