A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI.
Mahmoud E. KhaniEthan M. I. JohnsonAparna SodhiJoshua RobinsonCynthia K. RigsbyBradly D. AllenMichael MarklPublished in: CoRR (2023)
Keyphrases
- aortic valve
- patient specific
- deep learning
- blood flow
- minimally invasive
- computational fluid dynamics
- magnetic resonance imaging
- beating heart
- computed tomography
- clinical workflow
- high resolution
- medical images
- unsupervised learning
- fluoroscopic images
- machine learning
- quantitative evaluation
- carotid artery
- intraoperative
- augmented reality
- multiscale
- three dimensional