Search Results for author: Michael F. Insana

Found 2 papers, 0 papers with code

Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging

no code implementations1 Apr 2022 Hongmei Zhang, Kai Wang, Yan Zhou, Shadab Momin, Xiaofeng Yang, Mostafa Fatemi, Michael F. Insana

Significance: DQMP method is promising for imaging of multiple parameters, and can be generalized to global optimization for many other complex nonconvex functions and imaging of physical parameters.

Decision Making Q-Learning

Cartesian Neural Network Constitutive Models for Data-driven Elasticity Imaging

no code implementations11 Sep 2018 Cameron Hoerig, Jamshid Ghaboussi, Michael F. Insana

Here, we introduce Cartesian neural network constitutive models (CaNNCMs) that are capable of using data to model both linear-elastic mechanical properties and their distribution in space.

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