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 51–60 of 441 papers

Title	Date	Tasks	Status	Hype
LMO: Linear Mamba Operator for MRI Reconstruction	Jan 1, 2025	MambaMRI Reconstruction	CodeCode Available	0
AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction	Jan 1, 2025	MRI Reconstruction	CodeCode Available	0
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)	Dec 25, 2024	MRI Reconstruction	—Unverified	0
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization	Dec 24, 2024	Image ReconstructionMRI Reconstruction	—Unverified	0
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation	Dec 24, 2024	3D ReconstructionMRI Reconstruction	—Unverified	0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation	Dec 17, 2024	CT ReconstructionData Augmentation	—Unverified	0
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification	Dec 14, 2024	Image RestorationMRI Reconstruction	—Unverified	0
Self-Consistent Nested Diffusion Bridge for Accelerated MRI Reconstruction	Dec 13, 2024	DenoisingMRI Reconstruction	—Unverified	0
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder	Dec 9, 2024	Brain Tumor SegmentationDecoder	CodeCode Available	1
ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction	Nov 25, 2024	MRI Reconstruction	—Unverified	0

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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