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Search results (44)

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Generalist deep learning for cross-modality landmark annotation in cardiovascular magnetic resonance

Gonzales RA. et al, (2025)

Risk Stratification of Sudden Cardiac Death in Nonischemic Dilated Cardiomyopathy: Arrhythmogenic Substrate Assessment in Cardiac MRI.

Zhou D. et al, (2025), Radiology, 316

Right Ventricular Strain Improves Cardiac MRI-based Prognostication in Heart Failure with Preserved Ejection Fraction.

Zhu L. et al, (2025), Radiology, 315

Prognosis and Risk Stratification in Dilated Cardiomyopathy With LVEF≤35%: Cardiac MRI Insights for Better Outcomes.

Zhou D. et al, (2025), Circulation. Cardiovascular imaging, 18

Exploring cardiovascular involvement in IgG4-related disease: a case series approach with cardiovascular magnetic resonance.

Henry JA. et al, (2025), Heart (British Cardiac Society), 111, 133 - 140

Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence-review of evidence and proposition of a roadmap to clinical translation.

Zhang Q. et al, (2024), Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 26

Generative AI Virtual Contrast for CMR: A Pathway to Needle-Free and Fast Imaging of Myocardial Infarction?

Fok WYR. and Zhang Q., (2024), Circulation. Cardiovascular imaging, 17

Deep learning for automated insertion point annotation of CMR T1 maps

Gonzales RA. et al, (2024)

mated CMR index of left ventricular diastolic function post-acute myocardial infarction provides independent and incremental prediction of long-term prognosis when added to conventional indices

Shanmuganathan M. et al, (2024)

Myocardial Strain Measurements Derived From MR Feature-Tracking: Influence of Sex, Age, Field Strength, and Vendor.

Yang W. et al, (2024), JACC. Cardiovascular imaging, 17, 364 - 379

Gadolinium-free Virtual Native Enhancement for chronic myocardial infarction assessment: independent blinded validation and reproducibility between two centres

THOMPSON P. et al, (2023), Global CMR 2024 Scientific Sessions

TVnet: a deep-learning approach for enhanced right ventricular function analysis through tricuspid valve motion tracking

Gonzales RA. et al, (2023)

Quality control-driven framework for reliable automated segmentation of cardiac magnetic resonance LGE and VNE images

Gonzales RA. et al, (2023)

Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images

Gonzales RA. et al, (2023)

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

cute Response in the Noninfarcted Myocardium Predicts Long-Term Major Adverse Cardiac Events After STEMI.

Shanmuganathan M. et al, (2023), JACC. Cardiovascular imaging, 16, 46 - 59

Editorial: Generative adversarial networks in cardiovascular research.

Zhang Q. et al, (2023), Frontiers in cardiovascular medicine, 10

ificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement.

Zhang Q. et al, (2022), Circulation, 146, 1492 - 1503

TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function

Gonzales RA. et al, (2022), 36 - 37

Quality control-driven artificial intelligence for reliable automatic segmentation of LGE images in clinical practice

Gonzales RA. et al, (2022)

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