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    Chapter

    AI in the Real World

    This chapter deals with important considerations to factor in when translating technical advances in AI to real clinical workflows. The importance of considering existing workflows is emphasized, including ide...

    Alistair A. Young, Steffen E. Petersen, Pablo Lamata in AI and Big Data in Cardiology (2023)

  2. Article

    Open Access

    Society for Cardiovascular Magnetic Resonance (SCMR) guidelines for reporting cardiovascular magnetic resonance examinations

    W. Gregory Hundley, David A. Bluemke in Journal of Cardiovascular Magnetic Resonan… (2022)

  3. Article

    Open Access

    Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning

    Measurement of cardiac structure and function from images (e.g. volumes, mass and derived parameters such as left ventricular (LV) ejection fraction [LVEF]) guides care for millions. This is best assessed usin...

    Rhodri H. Davies, João B. Augusto in Journal of Cardiovascular Magnetic Resonan… (2022)

  4. Article

    Open Access

    Evidence-based cardiovascular magnetic resonance cost-effectiveness calculator for the detection of significant coronary artery disease

    Although prior reports have evaluated the clinical and cost impacts of cardiovascular magnetic resonance (CMR) for low-to-intermediate-risk patients with suspected significant coronary artery disease (CAD), th...

    Ankur Pandya, Yuan-Jui Yu, Yin Ge in Journal of Cardiovascular Magnetic Resonan… (2022)

  5. Article

    Open Access

    Cardiovascular magnetic resonance reference values of mitral and tricuspid annular dimensions: the UK Biobank cohort

    Mitral valve (MV) and tricuspid valve (TV) apparatus geometry are essential to define mechanisms and etiologies of regurgitation and to inform surgical or transcatheter interventions. Given the increasing use ...

    Fabrizio Ricci, Nay Aung, Sabina Gallina in Journal of Cardiovascular Magnetic Resonan… (2020)

  6. Article

    Open Access

    Comparison of quantitative flow ratio and fractional flow reserve with myocardial perfusion scintigraphy and cardiovascular magnetic resonance as reference standard. A Dan-NICAD substudy

    Quantitative flow ratio (QFR) and fractional flow reserve (FFR) have not yet been compared head to head with perfusion imaging as reference for myocardial ischemia. We aimed to compare the diagnostic accuracy ...

    Martin Sejr-Hansen, Jelmer Westra in The International Journal of Cardiovascula… (2020)

  7. Article

    Open Access

    Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank

    The associations between cardiovascular disease (CVD) risk factors and the biventricular geometry of the right ventricle (RV) and left ventricle (LV) have been difficult to assess, due to subtle and complex sh...

    Charlène Mauger, Kathleen Gilbert in Journal of Cardiovascular Magnetic Resonan… (2019)

  8. Article

    Open Access

    Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

    The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation m...

    Robert Robinson, Vanya V. Valindria in Journal of Cardiovascular Magnetic Resonan… (2019)

  9. Article

    Open Access

    Society for Cardiovascular Magnetic Resonance (SCMR) expert consensus for CMR imaging endpoints in clinical research: part I - analytical validation and clinical qualification

    Cardiovascular disease remains a leading cause of morbidity and mortality globally. Changing natural history of the disease due to improved care of acute conditions and ageing population necessitates new strat...

    Valentina O. Puntmann, Silvia Valbuena in Journal of Cardiovascular Magnetic Resonan… (2018)

  10. Article

    Open Access

    Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

    Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamb...

    Wenjia Bai, Matthew Sinclair in Journal of Cardiovascular Magnetic Resonan… (2018)

  11. Article

    Open Access

    Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results

    UK Biobank, a large cohort study, plans to acquire 100,000 cardiac MRI studies by 2020. Although fully-automated left ventricular (LV) analysis was performed in the original acquisition, this was not designed ...

    Avan Suinesiaputra, Mihir M. Sanghvi in The International Journal of Cardiovascula… (2018)

  12. Article

    Open Access

    Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort

    Cardiovascular magnetic resonance (CMR) is the gold standard method for the assessment of cardiac structure and function. Reference ranges permit differentiation between normal and pathological states. To date...

    Steffen E. Petersen, Nay Aung in Journal of Cardiovascular Magnetic Resonan… (2017)

  13. Article

    Open Access

    The global cardiovascular magnetic resonance registry (GCMR) of the society for cardiovascular magnetic resonance (SCMR): its goals, rationale, data infrastructure, and current developments

    With multifaceted imaging capabilities, cardiovascular magnetic resonance (CMR) is playing a progressively increasing role in the management of various cardiac conditions. A global registry that harmonizes dat...

    Raymond Y. Kwong, Steffen E. Petersen in Journal of Cardiovascular Magnetic Resonan… (2017)

  14. Article

    Open Access

    UK Biobank’s cardiovascular magnetic resonance protocol

    UK Biobank’s ambitious aim is to perform cardiovascular magnetic resonance (CMR) in 100,000 people previously recruited into this prospective cohort study of half a million 40-69 year-olds.

    Steffen E. Petersen, Paul M. Matthews in Journal of Cardiovascular Magnetic Resonan… (2016)

  15. Article

    Open Access

    The applicability of current global cardiovascular risk scores and cardiovascular surrogates in chronic obstructive pulmonary disease

    Mohammed Y Khanji, Ian S Stone in Journal of Cardiovascular Magnetic Resonan… (2016)

  16. Article

    Open Access

    Automatic left ventricular analysis with Inline VF performs well compared to manual analysis: results from Barts Cardiovascular Registry

    Mihir M Sanghvi, Patricia Feuchter in Journal of Cardiovascular Magnetic Resonan… (2016)

  17. Article

    Open Access

    Can left ventricular endocardial surface roughness be measured by fractal dimension on fast gradient echo sequences?

    Filip Zemrak, Gabriella Captur in Journal of Cardiovascular Magnetic Resonan… (2016)

  18. Article

    Open Access

    A comparison of cardiac motion analysis software packages: application to left ventricular deformation analysis in healthy subjects

    Haifa M Almutairi, Mohammed Y Khanji in Journal of Cardiovascular Magnetic Resonan… (2016)

  19. Article

    Open Access

    The association of left atrial volume with age, ethnicity and cardiovascular risk factors in men and women: the Multi-Ethnic Study of Atherosclerosis (MESA)

    Filip Zemrak, Bharath Ambale Venkatesh in Journal of Cardiovascular Magnetic Resonan… (2016)

  20. Article

    Open Access

    Relationship of regional myocardial deformation and myocardial fibrosis to myocardial trabeculation: The Multi-Ethnic Study of Atherosclerosis

    Nadine Kawel-Boehm, Robyn McClelland in Journal of Cardiovascular Magnetic Resonan… (2016)

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