Evaluation of Deep Learning Estimation of Whole Heart Anatomy from Automated Cardiovascular Magnetic Resonance Short- and Long-Axis Analyses in UK Biobank.
Marica MuffolettoHao XuRichard BurnsAvan SuinesiaputraAnastasia NasopoulouKarl P KunzeRadhouene NejiSteffen E PetersenSteven A NiedererDaniel RuckertAlistair A YoungPublished in: European heart journal. Cardiovascular Imaging (2024)
Neural network reconstructions of whole heart volumes had significantly stronger associations with cardiovascular disease and risk factors than standard volume estimation methods in an automatic processing pipeline.
Keyphrases
- deep learning
- neural network
- magnetic resonance
- cardiovascular disease
- risk factors
- heart failure
- machine learning
- artificial intelligence
- convolutional neural network
- atrial fibrillation
- type diabetes
- high throughput
- metabolic syndrome
- cardiovascular events
- computed tomography
- magnetic resonance imaging
- data analysis