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 361–370 of 441 papers

Title	Date	Tasks	Status	Hype
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction	Aug 14, 2020	DenoisingImage Reconstruction	CodeCode Available	1
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI	Aug 13, 2020	MRI ReconstructionSelf-Supervised Learning	—Unverified	0
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities	Aug 4, 2020	Image ReconstructionMRI Reconstruction	CodeCode Available	0
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction	Jul 24, 2020	Anomaly DetectionGenerative Adversarial Network	—Unverified	0
Accelerated MRI with Un-trained Neural Networks	Jul 6, 2020	compressed sensingDecoder	CodeCode Available	1
Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis	Jul 2, 2020	DenoisingImage Denoising	CodeCode Available	1
MRI Image Reconstruction via Learning Optimization Using Neural ODEs	Jun 24, 2020	Image ReconstructionMRI Reconstruction	—Unverified	0
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness	Jun 23, 2020	Compressive SensingDeep Learning	—Unverified	0
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks	May 12, 2020	Deep LearningMRI Reconstruction	—Unverified	0
Deep variational network for rapid 4D flow MRI reconstruction	Apr 20, 2020	compressed sensingMRI 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