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	Hype
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss	Aug 27, 2021	MRI ReconstructionSSIM	CodeCode Available	1
Deep MRI Reconstruction with Radial Subsampling	Aug 17, 2021	compressed sensingDiagnostic	CodeCode Available	1
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network	Aug 12, 2021	MRI Reconstruction	CodeCode Available	1
Accelerated MRI Reconstruction with Separable and Enhanced Low-Rank Hankel Regularization	Jul 24, 2021	MRI Reconstruction	—Unverified	0
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss	Jul 21, 2021	Generative Adversarial NetworkMRI Reconstruction	—Unverified	0
Deep Geometric Distillation Network for Compressive Sensing MRI	Jul 11, 2021	compressed sensingCompressive Sensing	CodeCode Available	0
eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction	Jul 7, 2021	MRI Reconstruction	—Unverified	0
Uncertainty-Guided Progressive GANs for Medical Image Translation	Jun 29, 2021	DenoisingImage-to-Image Translation	CodeCode Available	1
Data augmentation for deep learning based accelerated MRI reconstruction with limited data	Jun 28, 2021	Data AugmentationImage Restoration	CodeCode Available	1
Over-and-Under Complete Convolutional RNN for MRI Reconstruction	Jun 16, 2021	compressed sensingImage 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