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Paris Perdikaris

Showing results (11-20 of 21) with videos related to

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Computer Methods in Applied Mechanics and Engineering|September 1, 2020
Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantificationFrancisco Sahli Costabal, Kristen Matsuno, Jiang Yao, et al.
Frontiers in Physiology|March 25, 2022
Fast Characterization of Inducible Regions of Atrial Fibrillation Models With Multi-Fidelity Gaussian Process ClassificationLia Gander, Simone Pezzuto, Ali Gharaviri, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 24, 2020
Hydrodynamic and frictional modulation of deformations in switchable colloidal crystallitesYoung Ki Lee, Xiaoguai Li, Paris Perdikaris, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|January 31, 2022
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networksThomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, et al.
Parallel Computing|October 31, 2017
Visualizing multiphysics, fluid-structure interaction phenomena in intracranial aneurysmsParis Perdikaris, Joseph A Insley, Leopold Grinberg, et al.
Journal of Biomechanical Engineering|September 21, 2022
Feasibility of Vascular Parameter Estimation for Assessing Hypertensive Pregnancy DisordersGeorgios Kissas, Eileen Hwuang, Elizabeth W Thompson, et al.
Annals of Biomedical Engineering|July 3, 2025
Pulmonary Artery Shear Stress and Oscillatory Shear Index are Associated with Right Ventricular Remodeling in Repaired Tetralogy of FallotElizabeth W Thompson, Anindro Bhattacharya, Fengling Hu, et al.
NPJ Digital Medicine|December 5, 2019
Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciencesMark Alber, Adrian Buganza Tepole, William R Cannon, et al.
Archives of Computational Methods in Engineering : State of the Art Reviews|June 7, 2021
Multiscale modeling meets machine learning: What can we learn?Grace C Y Peng, Mark Alber, Adrian Buganza Tepole, et al.
Scientific Reports|November 10, 2025
Reduced order computational fluid dynamic simulations in the thoracic aorta are associated with disease recorded in a medical biobankRyan Sokolow, Anindro Bhattacharya, Georgios Kissas, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Computer Methods in Applied Mechanics and Engineering|September 1, 2020
Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantificationFrancisco Sahli Costabal, Kristen Matsuno, Jiang Yao, et al.
Frontiers in Physiology|March 25, 2022
Fast Characterization of Inducible Regions of Atrial Fibrillation Models With Multi-Fidelity Gaussian Process ClassificationLia Gander, Simone Pezzuto, Ali Gharaviri, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 24, 2020
Hydrodynamic and frictional modulation of deformations in switchable colloidal crystallitesYoung Ki Lee, Xiaoguai Li, Paris Perdikaris, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|January 31, 2022
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networksThomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, et al.
Parallel Computing|October 31, 2017
Visualizing multiphysics, fluid-structure interaction phenomena in intracranial aneurysmsParis Perdikaris, Joseph A Insley, Leopold Grinberg, et al.
Journal of Biomechanical Engineering|September 21, 2022
Feasibility of Vascular Parameter Estimation for Assessing Hypertensive Pregnancy DisordersGeorgios Kissas, Eileen Hwuang, Elizabeth W Thompson, et al.
Annals of Biomedical Engineering|July 3, 2025
Pulmonary Artery Shear Stress and Oscillatory Shear Index are Associated with Right Ventricular Remodeling in Repaired Tetralogy of FallotElizabeth W Thompson, Anindro Bhattacharya, Fengling Hu, et al.
NPJ Digital Medicine|December 5, 2019
Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciencesMark Alber, Adrian Buganza Tepole, William R Cannon, et al.
Archives of Computational Methods in Engineering : State of the Art Reviews|June 7, 2021
Multiscale modeling meets machine learning: What can we learn?Grace C Y Peng, Mark Alber, Adrian Buganza Tepole, et al.
Scientific Reports|November 10, 2025
Reduced order computational fluid dynamic simulations in the thoracic aorta are associated with disease recorded in a medical biobankRyan Sokolow, Anindro Bhattacharya, Georgios Kissas, et al.
Pageof 3