A review proposing a liver radioembolization digital twin that combines CFD with physics-informed neural networks to plan microsphere delivery.
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks,
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Towards Digital Twins for Optimal Radioembolization
A review proposing a liver radioembolization digital twin that combines CFD with physics-informed neural networks to plan microsphere delivery.