Monica Hernandez
Orcid: 0000-0003-1270-5852
According to our database1,
Monica Hernandez
authored at least 30 papers
between 2003 and 2024.
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Bibliography
2024
Dataset, May, 2024
Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation.
Comput. Biol. Medicine, 2024
Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2022
Partial Differential Equation-Constrained Diffeomorphic Registration from Sum of Squared Differences to Normalized Cross-Correlation, Normalized Gradient Fields, and Mutual Information: A Unifying Framework.
Sensors, 2022
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
2021
Efficient momentum conservation constrained PDE-LDDMM with Gauss-Newton-Krylov optimization, Semi-Lagrangian Runge-Kutta solvers, and the band-limited parameterization.
J. Comput. Sci., 2021
Combining the Band-Limited Parameterization and Semi-Lagrangian Runge-Kutta Integration for Efficient PDE-Constrained LDDMM.
J. Math. Imaging Vis., 2021
2020
Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
A Comparative Study of Different Variants of Newton-Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-Limited Vector Fields.
SIAM J. Imaging Sci., 2019
2018
Primal-dual optimization strategies in Huber-<i>L</i><sup>1</sup> optical flow with temporal subspace constraints for non-rigid sequence registration.
Image Vis. Comput., 2018
Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization.
CoRR, 2018
CoRR, 2018
PDE-constrained LDDMM via geodesic shooting and inexact Gauss-Newton-Krylov optimization using the incremental adjoint Jacobi equations.
CoRR, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2015
Primal-Dual convex optimization in large deformation diffeomorphic registration with robust regularizers.
Proceedings of the British Machine Vision Conference 2015, 2015
2012
Parameterized space conditions for the definition of locomotion modes in modular snake robots.
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012
2011
Proceedings of the IEEE IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011
2009
Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows.
Int. J. Comput. Vis., 2009
2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA.
Medical Image Anal., 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
2006
Proceedings of the 17th International Symposium on Software Reliability Engineering (ISSRE 2006), 2006
2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Brain aneurysm segmentation in CTA and 3DRA using geodesic active regions based on second order prototype features and nonparametric density estimation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their Application to Aneurysm Segmentation from CTA.
Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004
2003
Pre-clinical evaluation of implicit deformable models for three-dimensional segmentation of brain aneurysms from CTA images.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable Models: Method and Evaluation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003