Daniel E. Hurtado

Orcid: 0000-0001-6261-9106

According to our database1, Daniel E. Hurtado authored at least 11 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Machine learning modeling of lung mechanics: Assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance.
Comput. Methods Programs Biomed., January, 2024

2023
WarpPINN: Cine-MR image registration with physics-informed neural networks.
Medical Image Anal., October, 2023

2022
Mechanics-informed snakes isogeometric analysis (MISIGA): an image-based method for the estimation of local deformation and strain in blood vessels.
Eng. Comput., 2022

2021
Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations.
SIAM J. Imaging Sci., 2021

2020
Non-ohmic tissue conduction in cardiac electrophysiology: Upscaling the non-linear voltage-dependent conductance of gap junctions.
PLoS Comput. Biol., 2020

Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation.
IEEE Access, 2020

2019
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models.
CoRR, 2019

2018
Primal and Mixed Finite Element Methods for Deformable Image Registration Problems.
SIAM J. Imaging Sci., 2018

2017
Simultaneous left and right ventricle segmentation using topology preserving level sets.
Biomed. Signal Process. Control., 2017

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.
IEEE Trans. Medical Imaging, 2016

Improving the Accuracy of Registration-Based Biomechanical Analysis: A Finite Element Approach to Lung Regional Strain Quantification.
IEEE Trans. Medical Imaging, 2016


  Loading...