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most citedCMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

1 citations · 1 across the 5 of their papers we have counts for

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eess.IV2025

Towards Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge

Fanwen Wang, Zi Wang, Yan Li +60

Cardiovascular health is vital to human well-being, and cardiac magnetic resonance (CMR) imaging is considered the {clinical reference standard} for diagnosing cardiovascular disea…

eess.IV2025

Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion

Guang Yang, Jingkun Chen, Xicheng Sheng +5

Late gadolinium enhancement MRI (LGE MRI) is the gold standard for the detection of myocardial scars for post myocardial infarction (MI). LGE MRI requires the injection of a contra…

eess.IV2024★ 1 cited

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

Zi Wang, Fanwen Wang, Chen Qin +29

Cardiac magnetic resonance imaging (MRI) has emerged as a clinically gold-standard technique for diagnosing cardiac diseases, thanks to its ability to provide diverse information w…