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 371–380 of 441 papers

Title	Date	Tasks	Status	Hype
High-dimensional Fast Convolutional Framework (HICU) for Calibrationless MRI	Apr 19, 2020	compressed sensingMRI Reconstruction	CodeCode Available	0
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction	Apr 15, 2020	compressed sensingMRI Reconstruction	—Unverified	0
End-to-End Variational Networks for Accelerated MRI Reconstruction	Apr 14, 2020	Anatomycompressed sensing	CodeCode Available	1
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow	Apr 11, 2020	CPUGPU	CodeCode Available	1
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning	Apr 3, 2020	compressed sensingDeep Reinforcement Learning	CodeCode Available	1
Analysis of Deep Complex-Valued Convolutional Neural Networks for MRI Reconstruction	Apr 3, 2020	Image ReconstructionMRI Reconstruction	CodeCode Available	1
Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets	Mar 6, 2020	BenchmarkingImage Reconstruction	CodeCode Available	1
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction	Feb 24, 2020	Compressive SensingGenerative Adversarial Network	—Unverified	0
Learning to Predict Error for MRI Reconstruction	Feb 13, 2020	Medical DiagnosisMRI Reconstruction	—Unverified	0
Addressing The False Negative Problem of MRI Reconstruction Networks by Adversarial Attacks and Robust Training	Jan 25, 2020	DiagnosticMRI 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