Daniel E. Hurtado

发表

Non-ohmic tissue conduction in cardiac electrophysiology: Upscaling the non-linear voltage-dependent conductance of gap junctions

Grigory Panasenko, Daniel E. Hurtado, Javiera Jilberto, 2019, bioRxiv.

On the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Hearts

Kevin L. Sack, Julius M. Guccione, Simonetta Filippi, 2020, Mathematics.

Simultaneous left and right ventricle segmentation using topology preserving level sets

Pablo Irarrazaval, Carlos Sing-Long, Cristobal Arrieta, 2017, Biomed. Signal Process. Control..

Improving the Accuracy of Registration-Based Biomechanical Analysis: A Finite Element Approach to Lung Regional Strain Quantification

Guillermo Bugedo, Daniel E. Hurtado, Nicolas Villarroel, 2016, IEEE Transactions on Medical Imaging.

Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models pdf

Paris Perdikaris, Ellen Kuhl, Francisco Sahli Costabal, 2019, Computer Methods in Applied Mechanics and Engineering.

Non-conforming finite-element formulation for cardiac electrophysiology: an effective approach to reduce the computation time of heart simulations without compromising accuracy

Daniel E. Hurtado, Guillermo Rojas, D. Hurtado, 2018 .

Primal and Mixed Finite Element Methods for Deformable Image Registration Problems

Gabriel N. Gatica, Nicolas A. Barnafi, Daniel E. Hurtado, 2018, SIAM J. Imaging Sci..

ADVANCES IN COMPUTATIONAL BIOMECHANICS

Daniel E. Hurtado, Reuben Kraft, 2015 .

Semi-implicit Non-conforming Finite-Element Schemes for Cardiac Electrophysiology: A Framework for Mesh-Coarsening Heart Simulations

Daniel E. Hurtado, Javiera Jilberto, D. Hurtado, 2018, Front. Physiol..

3D Quantification of Wall Shear Stress and Oscillatory Shear Index Using a Finite-Element Method in 3D CINE PC-MRI Data of the Thoracic Aorta

Pablo Irarrazaval, Cristian Tejos, Israel Valverde, 2016, IEEE Transactions on Medical Imaging.

Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation

Angel Abusleme, Daniel E. Hurtado, Javier A. P. Chávez, 2020, IEEE Access.

New primal and dual-mixed finite element methods for stable image registration with singular regularization

Ricardo Ruiz-Baier, Gabriel N. Gatica, Daniel E. Hurtado, 2021 .

Inelastic Deformable Image Registration (i-DIR): Capturing Sliding Motion through Automatic Detection of Discontinuities

Daniel E. Hurtado, Carlos I. Andrade, D. Hurtado, 2021 .

Accelerating cardiac and vessel mechanics simulations: An energy-transform variational formulation for soft-tissue hyperelasticity

Daniel E. Hurtado, Patricio Zavala, D. Hurtado, 2021 .

Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations

Ricardo Ruiz-Baier, Gabriel N. Gatica, Daniel E. Hurtado, 2021, SIAM J. Imaging Sci..

On improving the numerical convergence of highly nonlinear elasticity problems

Sanjay Pant, Ankush Aggarwal, Yue Mei, 2018, Computer Methods in Applied Mechanics and Engineering.

Physics-Informed Neural Networks for Cardiac Activation Mapping

Yibo Yang, Paris Perdikaris, Ellen Kuhl, 2020, Frontiers in Physics.