[HTML][HTML] 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 …
recruited between 2006 and 2010. In 2014, UK Biobank started the world's largest multi …
Applications of artificial intelligence in cardiovascular imaging
M Sermesant, H Delingette, H Cochet, P Jaïs… - Nature Reviews …, 2021 - nature.com
Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …
decade. In particular, the AI-powered analysis of images and signals has reached human …
Virtual clinical trials in medical imaging: a review
The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …
outpaced the ability to evaluate and optimize their design and clinical use. This is a …
Predicting myocardial infarction through retinal scans and minimal personal information
In ophthalmologic practice, retinal images are routinely obtained to diagnose and monitor
primary eye diseases and systemic conditions affecting the eye, such as diabetic …
primary eye diseases and systemic conditions affecting the eye, such as diabetic …
Cardiovascular magnetic resonance imaging in the UK Biobank: a major international health research resource
Z Raisi-Estabragh, NC Harvey… - European Heart …, 2021 - academic.oup.com
Abstract The UK Biobank (UKB) is a health research resource of major international
importance, incorporating comprehensive characterization of> 500 000 men and women …
importance, incorporating comprehensive characterization of> 500 000 men and women …
[HTML][HTML] Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation
Y Al Khalil, S Amirrajab, C Lorenz, J Weese… - Computers in Biology …, 2023 - Elsevier
Cardiac magnetic resonance (CMR) image segmentation is an integral step in the analysis
of cardiac function and diagnosis of heart related diseases. While recent deep learning …
of cardiac function and diagnosis of heart related diseases. While recent deep learning …
[HTML][HTML] Estimation of biological heart age using cardiovascular magnetic resonance radiomics
We developed a novel interpretable biological heart age estimation model using
cardiovascular magnetic resonance radiomics measures of ventricular shape and …
cardiovascular magnetic resonance radiomics measures of ventricular shape and …
Explainable anatomical shape analysis through deep hierarchical generative models
Quantification of anatomical shape changes currently relies on scalar global indexes which
are largely insensitive to regional or asymmetric modifications. Accurate assessment of …
are largely insensitive to regional or asymmetric modifications. Accurate assessment of …
[HTML][HTML] Prediction of incident cardiovascular events using machine learning and CMR radiomics
Objectives Evaluation of the feasibility of using cardiovascular magnetic resonance (CMR)
radiomics in the prediction of incident atrial fibrillation (AF), heart failure (HF), myocardial …
radiomics in the prediction of incident atrial fibrillation (AF), heart failure (HF), myocardial …
[HTML][HTML] Automatic 3D+ t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale
Accurate 3D modelling of cardiac chambers is essential for clinical assessment of cardiac
volume and function, including structural, and motion analysis. Furthermore, to study the …
volume and function, including structural, and motion analysis. Furthermore, to study the …