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 101–110 of 441 papers

Title	Date	Tasks	Status	Hype
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI	May 23, 2024	MRI Reconstruction	CodeCode Available	1
Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI	May 20, 2024	Generative Adversarial NetworkMRI Reconstruction	—Unverified	0
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction	May 9, 2024	Image ReconstructionMRI Reconstruction	—Unverified	0
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models	May 9, 2024	Medical DiagnosisMRI Reconstruction	CodeCode Available	1
Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction	May 6, 2024	compressed sensingDenoising	—Unverified	0
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction	May 5, 2024	DenoisingHallucination	—Unverified	0
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging	Apr 30, 2024	BenchmarkingImage Reconstruction	CodeCode Available	1
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models	Apr 30, 2024	3D ReconstructionDiagnostic	—Unverified	0
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review	Apr 24, 2024	Deep LearningDiagnostic	—Unverified	0
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach	Apr 10, 2024	image-classificationImage Classification	—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