Daniel E. Hurtado
Citado por
Citado por
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
A physiological approach to understand the role of respiratory effort in the progression of lung injury in SARS-CoV-2 infection
P Cruces, J Retamal, DE Hurtado, B Erranz, P Iturrieta, C González, ...
Critical Care 24, 494, 2020
Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour
S Land, V Gurev, S Arens, CM Augustin, L Baron, R Blake, C Bradley, ...
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
Generating Purkinje networks in the human heart
FS Costabal, DE Hurtado, E Kuhl
Journal of biomechanics 49 (12), 2455-2465, 2016
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
J Sotelo, J Urbina, I Valverde, C Tejos, P Irarrázaval, ME Andia, S Uribe, ...
IEEE transactions on medical imaging 35 (6), 1475-1487, 2016
Computational modeling of non-linear diffusion in cardiac electrophysiology: A novel porous-medium approach
DE Hurtado, S Castro, A Gizzi
Computer Methods in Applied Mechanics and Engineering 300, 70-83, 2016
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
3D axial and circumferential wall shear stress from 4D flow MRI data using a finite element method and a laplacian approach
J Sotelo, L Dux‐Santoy, A Guala, J Rodríguez‐Palomares, A Evangelista, ...
Magnetic resonance in medicine 79 (5), 2816-2823, 2018
Does regional lung strain correlate with regional inflammation in acute respiratory distress syndrome during nonprotective ventilation? An experimental porcine study
J Retamal, D Hurtado, N Villarroel, A Bruhn, G Bugedo, MBP Amato, ...
Critical Care Medicine 46 (6), e591-e599, 2018
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
Surface effects and the size-dependent hardening and strengthening of nickel micropillars
DE Hurtado, M Ortiz
Journal of the Mechanics and Physics of Solids 60 (8), 1432-1446, 2012
Spatial patterns and frequency distributions of regional deformation in the healthy human lung
DE Hurtado, N Villarroel, C Andrade, J Retamal, G Bugedo, A Bruhn
Biomechanics and modeling in mechanobiology 16, 1413-1423, 2017
Gradient flows and variational principles for cardiac electrophysiology: toward efficient and robust numerical simulations of the electrical activity of the heart
DE Hurtado, D Henao
Computer Methods in Applied Mechanics and Engineering 273, 238-254, 2014
The renal compartment: a hydraulic view
P Cruces, C Salas, P Lillo, T Salomon, F Lillo, DE Hurtado
Intensive care medicine experimental 2, 1-9, 2014
Improving the accuracy of registration-based biomechanical analysis: a finite element approach to lung regional strain quantification
DE Hurtado, N Villarroel, J Retamal, G Bugedo, A Bruhn
IEEE Transactions on Medical Imaging 35 (2), 580-588, 2015
Computational modelling of electrocardiograms: repolarisation and T-wave polarity in the human heart
DE Hurtado, E Kuhl
Computer methods in biomechanics and biomedical engineering 17 (9), 986-996, 2014
Uncertainty quantification of 2 models of cardiac electromechanics
DE Hurtado, S Castro, P Madrid
International journal for numerical methods in biomedical engineering 33 (12 …, 2017
Progression of regional lung strain and heterogeneity in lung injury: assessing the evolution under spontaneous breathing and mechanical ventilation
DE Hurtado, B Erranz, F Lillo, M Sarabia-Vallejos, P Iturrieta, F Morales, ...
Annals of Intensive Care 10, 107, 2020
Three‐dimensional quantification of vorticity and helicity from 3D cine PC‐MRI using finite‐element interpolations
J Sotelo, J Urbina, I Valverde, J Mura, C Tejos, P Irarrazaval, ME Andia, ...
Magnetic resonance in medicine 79 (1), 541-553, 2018
Variability of 4D flow parameters when subjected to changes in MRI acquisition parameters using a realistic thoracic aortic phantom
C Montalba, J Urbina, J Sotelo, ME Andia, C Tejos, P Irarrazaval, ...
Magnetic resonance in medicine 79 (4), 1882-1892, 2018
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