A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization

1 May 2016Dominik NeumannTommaso MansiLucian ItuBogdan GeorgescuElham KayvanpourFarbod Sedaghat-HamedaniAli AmrJan HaasHugo KatusBenjamin MederStefan SteidlJoachim HorneggerDorin Comaniciu

Personalization is the process of fitting a model to patient data, a critical step towards application of multi-physics computational models in clinical practice. Designing robust personalization algorithms is often a tedious, time-consuming, model- and data-specific process... (read more)

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