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ORCIDDaniel E. Hurtado
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2020 – today
- 2024
[j11]José Barahona
, Francisco Sahli Costabal, Daniel E. Hurtado:
Machine learning modeling of lung mechanics: Assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance. Comput. Methods Programs Biomed. 243: 107888 (2024)- [j10]Felipe Contreras-Briceño, Jorge Cancino, Maximiliano Espinosa-Ramírez, Gonzalo Fernández, Vader Johnson, Daniel E. Hurtado:
Estimation of ventilatory thresholds during exercise using respiratory wearable sensors. npj Digit. Medicine 7(1) (2024) - [i3]Daniel E. Hurtado, Axel Osses, Rodrigo Quezada:
Methods based on Radon transform for non-affine deformable image registration of noisy images. CoRR abs/2409.00037 (2024) - 2023
- [j9]Pablo Arratia López, Hernán Mella, Sergio Uribe, Daniel E. Hurtado, Francisco Sahli Costabal:
WarpPINN: Cine-MR image registration with physics-informed neural networks. Medical Image Anal. 89: 102925 (2023) - 2022
- [j8]Agustín Cox, David Ortiz-Puerta, Julio Sotelo, Sergio Uribe, Daniel E. Hurtado:
Mechanics-informed snakes isogeometric analysis (MISIGA): an image-based method for the estimation of local deformation and strain in blood vessels. Eng. Comput. 38(5): 4043-4060 (2022) - [i2]Pablo Arratia López, Hernán Mella, Sergio Uribe, Daniel E. Hurtado, Francisco Sahli Costabal:
WarpPINN: Cine-MR image registration with physics-informed neural networks. CoRR abs/2211.12549 (2022) - 2021
- [j7]Nicolás A. Barnafi, Gabriel N. Gatica, Daniel E. Hurtado, Willian Miranda, Ricardo Ruiz-Baier:
Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations. SIAM J. Imaging Sci. 14(3): 1238-1272 (2021) - 2020
- [j6]Daniel E. Hurtado, Javier A. P. Chávez, Roberto Mansilla, Roberto Lopez, Angel Abusleme:
Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation. IEEE Access 8: 227936-227944 (2020) - [j5]Daniel E. Hurtado, Javiera Jilberto, Grigory Panasenko:
Non-ohmic tissue conduction in cardiac electrophysiology: Upscaling the non-linear voltage-dependent conductance of gap junctions. PLoS Comput. Biol. 16(2) (2020)
2010 – 2019
- 2019
- [i1]Francisco Sahli Costabal, Paris Perdikaris, Ellen Kuhl, Daniel E. Hurtado:
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models. CoRR abs/1905.03406 (2019) - 2018
- [j4]Nicolás A. Barnafi, Gabriel N. Gatica, Daniel E. Hurtado:
Primal and Mixed Finite Element Methods for Deformable Image Registration Problems. SIAM J. Imaging Sci. 11(4): 2529-2567 (2018) - 2017
- [j3]Cristobal Arrieta, Sergio Uribe, Carlos A. Sing-Long, Daniel E. Hurtado, Marcelo E. Andia, Pablo Irarrazaval, Cristian Tejos:
Simultaneous left and right ventricle segmentation using topology preserving level sets. Biomed. Signal Process. Control. 33: 88-95 (2017) - 2016
- [j2]Daniel E. Hurtado, Nicolas Villarroel, Jaime Retamal, Guillermo Bugedo, Alejandro Bruhn:
Improving the Accuracy of Registration-Based Biomechanical Analysis: A Finite Element Approach to Lung Regional Strain Quantification. IEEE Trans. Medical Imaging 35(2): 580-588 (2016) - [j1]Julio Sotelo, Jesús Urbina, Israel Valverde, Cristian Tejos, Pablo Irarrazaval, Marcelo E. Andia, Sergio Uribe, Daniel E. Hurtado:
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. IEEE Trans. Medical Imaging 35(6): 1475-1487 (2016)
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