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Multi-fidelity classification
Published:
Multi-fidelity classification using Gaussian processes: Accelerating the prediction of large-scale computational models
publications
Characterization of a dielectric microdroplet thermal interface material with dispersed nanoparticles
A Hamdan, F Sahli, R Richards, C Richards. Journal of Nanoparticle Research, 2012
Seeing double: A comparison of microstructure, biomechanical function, and adjacent disc health between double-layer and single-layer vertebral endplates
Aaron Fields, Francisco Sahli Costabal, Azucena Rodriguez, Jeffrey Lotz. Spine, 2012
Structural parameters determining the strength of the porcine vertebral body affected by tumours
Francisco Sahli, Jorge Cuellar, Alfonso Perez, Aaron Fields, Mauricio Campos, Jorge Ramos-Grez. Computer methods in biomechanics and biomedical engineering, 2015
Generating Purkinje networks in the human heart
Francisco Sahli Costabal, Daniel Hurtado, Ellen Kuhl. Journal of biomechanics, 2016
The importance of mechano-electrical feedback and inertia in cardiac electromechanics
Francisco Sahli Costabal, Felipe Concha, Daniel Hurtado, Ellen Kuhl. Computer methods in applied mechanics and engineering, 2017
Interpreting activation mapping of atrial fibrillation: a hybrid computational/physiological study
Francisco Sahli Costabal, Junaid Zaman, Ellen Kuhl, Sanjiv Narayan. Annals of biomedical engineering, 2018
Predicting drug-induced arrhythmias by multiscale modeling
Francisco Sahli Costabal, Jiang Yao, Ellen Kuhl. International journal for numerical methods in biomedical engineering, 2018
Predicting the cardiac toxicity of drugs using a novel multiscale exposure–response simulator
Francisco Sahli Costabal, Jiang Yao, Ellen Kuhl. Computer methods in biomechanics and biomedical engineering, 2018
Machine learning in drug development: Characterizing the effect of 30 drugs on the qt interval using gaussian process regression, sensitivity analysis, and uncertainty quantification
Francisco Sahli Costabal, Kristen Matsuno, Jiang Yao, Paris Perdikaris, Ellen Kuhl. Computer Methods in Applied Mechanics and Engineering, 2019
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models
Francisco Sahli Costabal, Paris Perdikaris, Ellen Kuhl, Daniel Hurtado. Computer Methods in Applied Mechanics and Engineering, 2019
Multiscale characterization of heart failure
Francisco Sahli Costabal, Jenny Choy, Kevin Sack, Julius Guccione, Ghassan Kassab, Ellen Kuhl. Acta biomaterialia, 2019
Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator
Francisco Sahli Costabal, Jiang Yao, Anna Sher, Ellen Kuhl. Progress in biophysics and molecular biology, 2019
Using machine learning to characterize heart failure across the scales
Mathias Peirlinck, Francisco Sahli Costabal, Kevin Sack, Jenny Choy, Ghassan Kassab, Julius Guccione, Matthieu De Beule, Patrick Segers, E Kuhl. Biomechanics and modeling in mechanobiology, 2019
Classifying drugs by their arrhythmogenic risk using machine learning
Francisco Sahli-Costabal, Kinya Seo, Euan Ashley, Ellen Kuhl. Biophysical Journal, 2020
Outbreak dynamics of COVID-19 in China and the United States
Mathias Peirlinck, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl. Biomechanics and modeling in mechanobiology, 2020
Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions
Kevin Linka, Mathias Peirlinck, Francisco Sahli Costabal, Ellen Kuhl. Computer Methods in Biomechanics and Biomedical Engineering, 2020
Physics-Informed Neural Networks for Cardiac Activation Mapping
Francisco Sahli Costabal, Yibo Yang, Paris Perdikaris, Daniel Hurtado, Ellen Kuhl. Frontiers in Physics, 2020
Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19
Mathias Peirlinck, Kevin Linka, Francisco Costabal, Jay Bhattacharya, Eran Bendavid, John Ioannidis, Ellen Kuhl. Computer Methods in Applied Mechanics and Engineering, 2020
COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior
Mohamed Bhouri, Francisco Costabal, Hanwen Wang, Kevin Linka, Mathias Peirlinck, Ellen Kuhl, Paris Perdikaris. Computer Methods in Applied Mechanics and Engineering, 2021
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks
Thomas Grandits, Simone Pezzuto, Francisco Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause. International Conference on Functional Imaging and Modeling of the Heart, 2021
Precision medicine in human heart modeling
M Peirlinck, F Costabal, J Yao, JM Guccione, S Tripathy, Y Wang, D Ozturk, P Segars, TM Morrison, S Levine, E Kuhl. Biomechanics and Modeling in Mechanobiology, 2021