Improving the Accuracy of Registration-Based Biomechanical Analysis: A Finite Element Approach to Lung Regional Strain Quantification. - Daniel E. Hurtado; Nicolas Villarroel; Jaime Retamal; Guillermo Bugedo; Alejandro Bruhn (IEEE Trans. Medical Imaging, 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. - Julio Sotelo; Jesús Urbina; Israel Valverde; Cristian Tejos; Pablo Irarrazaval; Marcelo E. Andia; Sergio Uribe; Daniel E. Hurtado (IEEE Trans. Medical Imaging, 2016)

Simultaneous left and right ventricle segmentation using topology preserving level sets. - Cristobal Arrieta; Sergio Uribe; Carlos A. Sing-Long; Daniel E. Hurtado; Marcelo E. Andia; Pablo Irarrazaval; Cristian Tejos (Biomed. Signal Process. Control., 2017)

Primal and Mixed Finite Element Methods for Deformable Image Registration Problems. - Nicolás A. Barnafi; Gabriel N. Gatica; Daniel E. Hurtado (SIAM J. Imaging Sci., 2018)

Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models. - Francisco Sahli Costabal; Paris Perdikaris; Ellen Kuhl; Daniel E. Hurtado (CoRR, 2019)

Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation. - Daniel E. Hurtado; Javier A. P. Chávez; Roberto Mansilla; Roberto Lopez; Angel Abusleme (IEEE Access, 2020)

Non-ohmic tissue conduction in cardiac electrophysiology: Upscaling the non-linear voltage-dependent conductance of gap junctions. - Daniel E. Hurtado; Javiera Jilberto; Grigory Panasenko (PLoS Comput. Biol., 2020)

Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations. - Nicolás A. Barnafi; Gabriel N. Gatica; Daniel E. Hurtado; Willian Miranda; Ricardo Ruiz-Baier (SIAM J. Imaging Sci., 2021)

Mechanics-informed snakes isogeometric analysis (MISIGA): an image-based method for the estimation of local deformation and strain in blood vessels. - Agustín Cox; David Ortiz-Puerta; Julio Sotelo; Sergio Uribe; Daniel E. Hurtado (Eng. Comput., 2022)

WarpPINN: Cine-MR image registration with physics-informed neural networks. - Pablo Arratia López; Hernán Mella; Sergio Uribe; Daniel E. Hurtado; Francisco Sahli Costabal (Medical Image Anal., 2023)

Methods based on Radon transform for non-affine deformable image registration of noisy images. - Daniel E. Hurtado; Axel Osses; Rodrigo Quezada (CoRR, 2024)

Estimation of ventilatory thresholds during exercise using respiratory wearable sensors. - Felipe Contreras-Briceño; Jorge Cancino; Maximiliano Espinosa-Ramírez; Gonzalo Fernández; Vader Johnson; Daniel E. Hurtado (npj Digit. Medicine, 2024)

Machine learning modeling of lung mechanics: Assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance. - José Barahona; Francisco Sahli Costabal; Daniel E. Hurtado (Comput. Methods Programs Biomed., 2024)