The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

TJ Littlejohns, J Holliday, LM Gibson, S Garratt… - Nature …, 2020 - nature.com
UK Biobank is a population-based cohort of half a million participants aged 40–69 years
recruited between 2006 and 2010. In 2014, UK Biobank started the world's largest multi …

[HTML][HTML] Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the Society for …

DR Messroghli, JC Moon, VM Ferreira… - Journal of …, 2016 - Elsevier
Parametric mapping techniques provide a non-invasive tool for quantifying tissue alterations
in myocardial disease in those eligible for cardiovascular magnetic resonance (CMR) …

Addressing fairness in artificial intelligence for medical imaging

MA Ricci Lara, R Echeveste, E Ferrante - nature communications, 2022 - nature.com
A plethora of work has shown that AI systems can systematically and unfairly be biased
against certain populations in multiple scenarios. The field of medical imaging, where AI …

Non-linear Mendelian randomization analyses support a role for vitamin D deficiency in cardiovascular disease risk

A Zhou, JB Selvanayagam… - European heart …, 2022 - academic.oup.com
Aims Low vitamin D status is associated with a higher risk for cardiovascular diseases
(CVDs). Although most existing linear Mendelian randomization (MR) studies reported a null …

Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images

B Zhao, T Li, Z Fan, Y Yang, J Shu, X Yang, X Wang… - Science, 2023 - science.org
Cardiovascular health interacts with cognitive and mental health in complex ways, yet little is
known about the phenotypic and genetic links of heart-brain systems. We quantified heart …

Common genetic variants and modifiable risk factors underpin hypertrophic cardiomyopathy susceptibility and expressivity

AR Harper, A Goel, C Grace, KL Thomson… - Nature …, 2021 - nature.com
Hypertrophic cardiomyopathy (HCM) is a common, serious, genetic heart disorder. Rare
pathogenic variants in sarcomere genes cause HCM, but with unexplained phenotypic …

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?

O Bernard, A Lalande, C Zotti… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac
magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish …

Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect

R Tadros, C Francis, X Xu, AMC Vermeer, AR Harper… - Nature …, 2021 - nature.com
The heart muscle diseases hypertrophic (HCM) and dilated (DCM) cardiomyopathies are
leading causes of sudden death and heart failure in young, otherwise healthy, individuals …

[HTML][HTML] Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl… - Journal of …, 2018 - Elsevier
Background Cardiovascular resonance (CMR) imaging is a standard imaging modality for
assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR …

Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation

O Oktay, E Ferrante, K Kamnitsas… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Incorporation of prior knowledge about organ shape and location is key to improve
performance of image analysis approaches. In particular, priors can be useful in cases …