Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease.
Gerhard-Paul DillerJulius VahleRobert RadkeMaria Luisa Benesch VidalAlicia Jeanette FischerUlrike M. M. BauerSamir SarikouchFelix BergerPhilipp BeerbaumHelmut BaumgartnerStefan OrwatPublished in: BMC Medical Imaging (2020)
Keyphrases
- heart disease
- magnetic resonance images
- deep learning
- myocardial motion
- medical diagnosis
- medical images
- mr images
- unsupervised learning
- white matter
- magnetic resonance imaging
- medical imaging
- high resolution
- machine learning
- brain tissue
- medical records
- mri data
- deformable models
- weakly supervised
- multiscale
- automatic segmentation
- data mining
- magnetic resonance