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Exploring cardiovascular involvement in IgG4-related disease: a case series approach with cardiovascular magnetic resonance.
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Generative AI Virtual Contrast for Cardiovascular Magnetic Resonance: A Pathway to Needle-Free and Fast Imaging of Myocardial Infarction?
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Improving the efficiency and accuracy of CMR with AI - review of evidence and proposition of a roadmap to clinical translation.
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Gadolinium-free Virtual Native Enhancement for chronic myocardial infarction assessment: independent blinded validation and reproducibility between two centres
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Myocardial Strain Measurements Derived From MR Feature-Tracking: Influence of Sex, Age, Field Strength, and Vendor.
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Editorial: Generative adversarial networks in cardiovascular research.
Zhang Q. et al, (2023), Frontiers in cardiovascular medicine, 10
Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images.
Gonzales RA. et al, (2023), Frontiers in cardiovascular medicine, 10
LONG-TERM PROGNOSIS AFTER ACUTE ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION IS DETERMINED BY CHARACTERISTICS IN BOTH NON-INFARCTED AND INFARCTED MYOCARDIUM ON CARDIOVASCULAR MAGNETIC RESONANCE IMAGING
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MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks.
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