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IS12b - Computational Medicine: Data-driven and physic-based tools for clinical applications
Corresponding Organizer: Dr. Federica Caforio (University of Graz)
Chaired by:
Dr. Federica Caforio (University of Graz , Austria) , Dr. Francesco Regazzoni (Politecnico di Milano , Italy)
Dr. Federica Caforio (University of Graz , Austria) , Dr. Francesco Regazzoni (Politecnico di Milano , Italy)
Scheduled presentations:
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Δ-PINN: Physics-Informed Neural Networks on Complex Geometries
S. Pezzuto*, F. Sahli Costabal, P. Perdikaris -
Training Gives Me PINNS and Needles - On the Complexity of Training Physics-Informed Neural Networks
F. Rohrhofer*, S. Steger, S. Posch, C. Gößnitzer, B. Geiger -
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks
L. Pegolotti*, M. Pfaller, N. Rubio, K. Ding, R. Brugorolas Brufau, E. Darve, A. Marsden -
Parametric PDEs solvers, uncertainty quantification and parameter estimation
S. Riffaud*, D. Lombardi, M. Fernandez -
Machine Learning-Based Method for Structural Characterization and Fracture Risk Evaluation of Vertebrae With Metastasis.
B. Gandía-Vañó*, X. García-Andrés, E. Arana, E. Nadal-Soriano, J. Ródenas-García -
Level-set geometry parametrization and kernel optimization for predictions of thrombectomy outcomes
S. Bridio*, G. Luraghi, F. Migliavacca, D. González, P. Díez, J. Rodriguez Matas, A. García-González