Gadolinium-free Virtual Native Enhancement for chronic myocardial infarction assessment: independent blinded validation and reproducibility between two centres
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THOMPSON P. et al, (2023), Global CMR 2024 Scientific Sessions
Quality control-driven framework for reliable automated segmentation of cardiac magnetic resonance LGE and VNE images
Conference paper
Gonzales RA. et al, (2023)
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Conference paper
Gonzales RA. et al, (2023)
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Journal article
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Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images
Conference paper
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Journal article
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Editorial: Generative adversarial networks in cardiovascular research.
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Zhang Q. et al, (2023), Front Cardiovasc Med, 10
Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images.
Journal article
Gonzales RA. et al, (2023), Front Cardiovasc Med, 10
Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement.
Journal article
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TVnet: automated global analysis of tricuspid valve plane motion in CMR long-axis cines with residual neural networks for assessment of right ventricular function
Conference paper
Gonzales RA. et al, (2022), European Heart Journal - Cardiovascular Imaging, 23
Development of Deep Learning Virtual Native Enhancement for Gadolinium-Free Myocardial Infarction and Viability Assessment
Conference paper
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Conference paper
Gonzales RA. et al, (2022)
1 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
Conference paper
Shanmuganathan M. et al, (2021), Abstracts
Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy.
Journal article
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Toward Replacing Late Gadolinium Enhancement With Artificial Intelligence Virtual Native Enhancement for Gadolinium-Free Cardiovascular Magnetic Resonance Tissue Characterization in Hypertrophic Cardiomyopathy.
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Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.
Journal article
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Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods.
Journal article
Burrage MK. et al, (2021), Sci Rep, 11
Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls.
Journal article
Burrage MK. et al, (2021), Int J Cardiol, 333, 239 - 245
Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials - A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) study.
Journal article
Zhang Q. et al, (2021), Int J Cardiol, 330, 251 - 258
Standardization of T1-mapping in cardiovascular magnetic resonance using clustered structuring for benchmarking normal ranges.
Journal article
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