| Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions K Linka, M Peirlinck, F Sahli Costabal, E Kuhl Computer methods in biomechanics and biomedical engineering 23 (11), 710-717, 2020 | 365 | 2020 |
| Physics-informed neural networks for cardiac activation mapping F Sahli Costabal, Y Yang, P Perdikaris, DE Hurtado, E Kuhl Frontiers in Physics 8, 42, 2020 | 262 | 2020 |
| Outbreak dynamics of COVID-19 in China and the United States M Peirlinck, K Linka, F Sahli Costabal, E Kuhl Biomechanics and modeling in mechanobiology 19 (6), 2179-2193, 2020 | 181 | 2020 |
| Precision medicine in human heart modeling: Perspectives, challenges, and opportunities M Peirlinck, FS Costabal, J Yao, JM Guccione, S Tripathy, Y Wang, ... Biomechanics and modeling in mechanobiology 20, 803-831, 2021 | 111 | 2021 |
| Generating Purkinje networks in the human heart FS Costabal, DE Hurtado, E Kuhl Journal of biomechanics 49 (12), 2455-2465, 2016 | 109 | 2016 |
| Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19 M Peirlinck, K Linka, FS Costabal, J Bhattacharya, E Bendavid, ... Computer Methods in Applied Mechanics and Engineering 372, 113410, 2020 | 86 | 2020 |
| Machine learning in drug development: characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty … FS Costabal, K Matsuno, J Yao, P Perdikaris, E Kuhl Computer Methods in Applied Mechanics and Engineering 348, 313-333, 2019 | 84 | 2019 |
| The importance of mechano-electrical feedback and inertia in cardiac electromechanics FS Costabal, FA Concha, DE Hurtado, E Kuhl Computer methods in applied mechanics and engineering 320, 352-368, 2017 | 66 | 2017 |
| Using machine learning to characterize heart failure across the scales M Peirlinck, F Sahli Costabal, KL Sack, JS Choy, GS Kassab, ... Biomechanics and modeling in mechanobiology 18, 1987-2001, 2019 | 61 | 2019 |
| COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior MA Bhouri, FS Costabal, H Wang, K Linka, M Peirlinck, E Kuhl, ... Computer Methods in Applied Mechanics and Engineering 382, 113891, 2021 | 53 | 2021 |
| Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models FS Costabal, P Perdikaris, E Kuhl, DE Hurtado Computer Methods in Applied Mechanics and Engineering 357, 112602, 2019 | 51 | 2019 |
| Predicting drug‐induced arrhythmias by multiscale modeling F Sahli Costabal, J Yao, E Kuhl International journal for numerical methods in biomedical engineering 34 (5 …, 2018 | 42 | 2018 |
| Multiscale characterization of heart failure FS Costabal, JS Choy, KL Sack, JM Guccione, GS Kassab, E Kuhl Acta biomaterialia 86, 66-76, 2019 | 38 | 2019 |
| Seeing double: a comparison of microstructure, biomechanical function, and adjacent disc health between double-and single-layer vertebral endplates AJ Fields, F Sahli, AG Rodriguez, JC Lotz Spine 37 (21), E1310-E1317, 2012 | 37 | 2012 |
| Data-driven tissue mechanics with polyconvex neural ordinary differential equations V Tac, FS Costabal, AB Tepole Computer Methods in Applied Mechanics and Engineering 398, 115248, 2022 | 34* | 2022 |
| Predicting the cardiac toxicity of drugs using a novel multiscale exposure–response simulator F Sahli Costabal, J Yao, E Kuhl Computer methods in biomechanics and biomedical engineering 21 (3), 232-246, 2018 | 28 | 2018 |
| Classifying drugs by their arrhythmogenic risk using machine learning F Sahli-Costabal, K Seo, E Ashley, E Kuhl Biophysical journal 118 (5), 1165-1176, 2020 | 27 | 2020 |
| Interpreting activation mapping of atrial fibrillation: a hybrid computational/physiological study F Sahli Costabal, JAB Zaman, E Kuhl, SM Narayan Annals of biomedical engineering 46, 257-269, 2018 | 26 | 2018 |
| Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps C Ruiz Herrera, T Grandits, G Plank, P Perdikaris, F Sahli Costabal, ... Engineering with Computers 38 (5), 3957-3973, 2022 | 19 | 2022 |
| Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks T Grandits, S Pezzuto, FS Costabal, P Perdikaris, T Pock, G Plank, ... International Conference on Functional Imaging and Modeling of the Heart …, 2021 | 17 | 2021 |
Ellen KuhlRobert Bosch Chair of Mechanical Engineering and Walter B. Reinhold Professor of EngineeringVerified email at stanford.edu
