The performance of non-invasive tests to rule-in and rule-out significant coronary artery stenosis in patients with stable angina: a meta-analysis focused on post-test disease probability
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Pathophysiology of the right ventricle and of the pulmonary circulation in pulmonary hypertension: an update
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Noninvasive imaging in the assessment of the cardiopulmonary vascular unit
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Global longitudinal strain and cardiac events in patients with immune checkpoint inhibitor-related myocarditis
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Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging
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Remote scanning support in magnetic resonance imaging: friend or foe?
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Rationale and design of the HERZCHECK trial: detection of early heart failure using telemedicine and cardiovascular magnetic resonance in structurally weak regions (NCT05122793)
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T2* map at cardiac MRI reveals incidental hepatic and cardiac iron overload
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Contemporary family screening in hypertrophic cardiomyopathy: the role of cardiovascular magnetic resonance
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Penetrance of hypertrophic cardiomyopathy in sarcomere protein mutation carriers
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INCA (Peru) study: impact of non-invasive cardiac magnetic resonance assessment in the developing world
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Artificial intelligence tool for detection and worklist prioritization reduces time to diagnosis of incidental pulmonary embolism at CT
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Automated cardiac magnetic resonance interpretation derived from prompted large language models
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Autoregressive report generation for cardiac magnetic resonance imaging
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Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping
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Automated inline analysis of myocardial perfusion MRI with deep learning
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Automatic time-resolved cardiovascular segmentation of 4D flow MRI using deep learning
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Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning
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Improved quantification of myocardium scar in late gadolinium enhancement images: deep learning based image fusion approach
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Automated measurement of native T1 and extracellular volume fraction in cardiac magnetic resonance imaging using a commercially available deep learning algorithm
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Deep neural network for cardiac magnetic resonance image segmentation
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Deep learning segmentation of the right ventricle in cardiac MRI: the M&ms challenge
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Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
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Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease
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Deep-learning reconstruction for noise reduction in respiratory-triggered single-shot phase sensitive inversion recovery myocardial delayed enhancement cardiac magnetic resonance
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Deep learning architecture for 3D image super-resolution of late gadolinium enhanced cardiac MRI
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Reconstruction of cardiovascular black-blood T2-weighted image by deep learning algorithm: a comparison with intensity filter
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Fast and robust single-shot cine cardiac MRI using deep learning super-resolution reconstruction
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Deep learning super-resolution reconstruction for fast and high-quality cine cardiovascular magnetic resonance
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Rapid dealiasing of undersampled, non-cartesian cardiac perfusion images using U-net
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Simultaneous T1, T2, and T1ρ cardiac magnetic resonance fingerprinting for contrast agent-free myocardial tissue characterization
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Cardiac MRF using rosette trajectories for simultaneous myocardial T1, T2, and proton density fat fraction mapping
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