Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage.
Xabier MoralesJordi MillKristine A. JuhlAndy L. OlivaresGuillermo Jiménez-PérezRasmus R. PaulsenOscar CamaraPublished in: STACOM@MICCAI (2019)
Keyphrases
- deep learning
- computational fluid dynamics
- patient specific
- numerical simulations
- intracranial aneurysms
- blood flow
- unsupervised learning
- machine learning
- unsupervised feature learning
- weakly supervised
- scientific data
- mental models
- velocity field
- heat transfer
- decision making
- theoretical analysis
- active learning
- learning algorithm
- segmentation method
- coronary artery
- particle filter
- multiscale