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 1–10 of 441 papers

Title	Date	Tasks	Status	Hype
Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration	Jan 24, 2025	compressed sensingFederated Learning	CodeCode Available	2
The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023	Apr 1, 2024	MRI Reconstruction	CodeCode Available	2
vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-Problems	Sep 18, 2023	compressed sensingMRI Reconstruction	CodeCode Available	2
Generative AI for Medical Imaging: extending the MONAI Framework	Jul 27, 2023	Anomaly DetectionDenoising	CodeCode Available	2
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation	Apr 10, 2025	DiagnosticMRI Reconstruction	CodeCode Available	1
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting	Mar 3, 2025	Computational EfficiencyDenoising	CodeCode Available	1
Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction	Feb 6, 2025	Federated LearningMRI Reconstruction	CodeCode Available	1
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction	Jan 14, 2025	DiversityMamba	CodeCode Available	1
ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning	Jan 8, 2025	Anatomycompressed sensing	CodeCode Available	1
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

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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