Use Case: AI-Based Surrogate Muscle Models for Cardiac Cycle Simulations of the Left Ventricle

Author:

Milićević Bogdan,Filipović NenadORCID

Publisher

Springer Nature Switzerland

Reference40 articles.

1. B. Stojanovic, M. Svicevic, A. Kaplarevic-Malisic, R. J. Gilbert, and S. M. Mijailovich, “Multi-scale striated muscle contraction model linking sarcomere length-dependent cross-bridge kinetics to macroscopic deformation,” Journal of Computational Science, vol. 39. Elsevier BV, p. 101062, Jan. 2020. https://doi.org/10.1016/j.jocs.2019.101062.

2. B. S. Stojanovic, M. R. Svicevic, A. M. Kaplarevic-Malisic et al., “Coupling finite element and huxley models in multiscale muscle modeling,” 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, Nov. 2015. https://doi.org/10.1109/bibe.2015.7367674.

3. M. Ivanović, B. Stojanović, A. Kaplarević-Mališić, R. Gilbert, and S. Mijailovich, “Distributed multi-scale muscle simulation in a hybrid MPI–CUDA computational environment,” SIMULATION, vol. 92, no. 1. SAGE Publications, pp. 19–31, Dec. 11, 2015. https://doi.org/10.1177/0037549715620299.

4. M. Ivanović, A. Kaplarević-Mališić, B. Stojanović, M. Svičević, and S. M. Mijailovich, “Machine learned domain decomposition scheme applied to parallel multi-scale muscle simulation,” The International Journal of High Performance Computing Applications, vol. 33, no. 5. SAGE Publications, pp. 885–896, Mar. 12, 2019. https://doi.org/10.1177/1094342019833151.

5. S. Yan, X. Zou, M. Ilkhani, and A. Jones, “An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks,” Composites Part B: Engineering, vol. 194. Elsevier BV, p. 108014, Aug. 2020. https://doi.org/10.1016/j.compositesb.2020.108014.

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