Physics-informed neural networks for blood flow inverse problems.
Jeremias GarayJocelyn DunstanSergio UribeFrancisco Sahli CostabalPublished in: CoRR (2023)
Keyphrases
- inverse problems
- blood flow
- neural network
- patient specific
- image reconstruction
- global optimization
- convex optimization
- computational fluid dynamics
- phase contrast
- boundary conditions
- optimization methods
- pattern recognition
- optimization problems
- early vision
- shear stress
- automated analysis
- smoothness constraint
- computationally expensive
- genetic algorithm
- optimization algorithm
- multiscale
- image sequences