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2020 – today
- 2025
[j10]Monica Hernandez
:
PDE-LDDMM meets NODEs: Introducing neural ordinary differential equation solvers in PDE-constrained Large Deformation Diffeomorphic Metric Mapping. J. Comput. Sci. 85: 102507 (2025)- 2024
- [j9]Monica Hernandez, Ubaldo Ramon-Julvez:
Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation. Comput. Biol. Medicine 178: 108761 (2024) - [c18]Ubaldo Ramon-Julvez, Monica Hernandez, Elvira Mayordomo:
EPDiff-JF-Net: Adjoint Jacobi Fields for Diffeomorphic Registration Networks. ISBI 2024: 1-5 - [c17]Federica Aracri, Monica Hernandez, Andrea Quattrone, Alessia Sarica:
Comparison Between External and Internal Imputation of Missing Values in Longitudinal Data for Alzheimer's Disease Diagnosis. MetroXRAINE 2024: 66-70 - [c16]Aminu Musa, Mariya Ibrahim Adamu, Habeebah Adamu Kakudi, Monica Hernandez, Yusuf Lawal:
Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation. MICCAI (3) 2024: 585-595 - [d1]Monica Hernandez:
Traditional LDDMM vs Deep Learning. Deformation fields on NIREP and OASIS. IEEE DataPort, 2024
- 2022
- [j8]Monica Hernandez, Ubaldo Ramon-Julvez, Daniel Sierra-Tome:
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 22(10): 3735 (2022) - [c15]Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo:
LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration. WBIR 2022: 18-28 - 2021
- [j7]Monica Hernandez:
Combining the Band-Limited Parameterization and Semi-Lagrangian Runge-Kutta Integration for Efficient PDE-Constrained LDDMM. J. Math. Imaging Vis. 63(5): 555-579 (2021) - [j6]Monica Hernandez:
Efficient momentum conservation constrained PDE-LDDMM with Gauss-Newton-Krylov optimization, Semi-Lagrangian Runge-Kutta solvers, and the band-limited parameterization. J. Comput. Sci. 55: 101470 (2021) - [i5]Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo:
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration. CoRR abs/2111.12544 (2021) - 2020
- [c14]Ubaldo Ramon-Julvez, Monica Hernandez, Elvira Mayordomo, Adni:
Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks. ISBI 2020: 1120-1124 - [i4]Monica Hernandez:
Combining the band-limited parameterization and Semi-Lagrangian Runge-Kutta integration for efficient PDE-constrained LDDMM. CoRR abs/2006.06823 (2020)
2010 – 2019
- 2019
- [j5]Monica Hernandez:
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. 12(2): 1038-1070 (2019) - [j4]Monica Hernandez:
Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping. IEEE J. Biomed. Health Informatics 23(1): 362-373 (2019) - 2018
- [j3]Monica Hernandez:
Primal-dual optimization strategies in Huber-L1 optical flow with temporal subspace constraints for non-rigid sequence registration. Image Vis. Comput. 69: 44-67 (2018) - [c13]Belen Marin, Carlos Alquezar-Baeta, Monica Hernandez, Elvira Mayordomo:
Evolution of GWAS results through ADNI cohorts. BIBM 2018: 2782-2784 - [i3]Monica Hernandez:
PDE-constrained LDDMM via geodesic shooting and inexact Gauss-Newton-Krylov optimization using the incremental adjoint Jacobi equations. CoRR abs/1807.04638 (2018) - [i2]Monica Hernandez:
Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields. CoRR abs/1807.05117 (2018) - [i1]Monica Hernandez:
Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization. CoRR abs/1807.11560 (2018) - 2015
- [c12]Monica Hernandez:
Primal-Dual convex optimization in large deformation diffeomorphic registration with robust regularizers. BMVC 2015: 85.1-85.13 - 2012
- [c11]Kamilo Melo, Monica Hernandez, Daniel Gonzalez:
Parameterized space conditions for the definition of locomotion modes in modular snake robots. ROBIO 2012: 2032-2038 - 2011
- [c10]Kamilo Melo, Laura Paez, Monica Hernandez, Alexandra Velasco, Francisco Calderon, Carlos Parra:
Preliminary studies on modular snake robots applied on de-mining tasks. LARC 2011: 1-6
2000 – 2009
- 2009
- [j2]Monica Hernandez, Matías N. Bossa, Salvador Olmos:
Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows. Int. J. Comput. Vis. 85(3): 291-306 (2009) - 2008
- [c9]Monica Hernandez, Salvador Olmos:
Gauss-Newton optimization in Diffeomorphic registration. ISBI 2008: 1083-1086 - 2007
- [j1]Monica Hernandez, Alejandro F. Frangi:
Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA. Medical Image Anal. 11(3): 224-241 (2007) - [c8]Monica Hernandez, Matías N. Bossa, Salvador Olmos:
Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields. ICCV 2007: 1-8 - [c7]Matías N. Bossa, Monica Hernandez, Salvador Olmos:
Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images. MICCAI (1) 2007: 667-674 - 2006
- [c6]Yu Lei, Richard H. Carver, David Chenho Kung, Vidur Gupta, Monica Hernandez:
A State Exploration-Based Approach to Testing Java Monitors. ISSRE 2006: 256-265 - 2005
- [c5]Monica Hernandez, Alejandro Federico Frangi:
Brain aneurysm segmentation in CTA and 3DRA using geodesic active regions based on second order prototype features and nonparametric density estimation. Image Processing 2005 - [c4]Raul Daniel Millan, Monica Hernandez, Daniel Gallardo, Juan Raúl Cebral, Christopher M. Putman, Laura Dempere-Marco, Alejandro Federico Frangi:
Characterization of cerebral aneurysms using 3D moment invariants. Image Processing 2005 - [e1]Alejandro F. Frangi, Petia Radeva, Andrés Santos, Monica Hernandez:
Functional Imaging and Modeling of the Heart, Third International Workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005, Proceedings. Lecture Notes in Computer Science 3504, Springer 2005, ISBN 3-540-26161-3 [contents] - 2004
- [c3]Monica Hernandez, Alejandro F. Frangi:
Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their Application to Aneurysm Segmentation from CTA. MIAR 2004: 94-102 - 2003
- [c2]Monica Hernandez, Alejandro F. Frangi, Guillermo Sapiro:
Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable Models: Method and Evaluation. MICCAI (2) 2003: 594-602 - [c1]Monica Hernandez, Rosario Barrena, Gabriel Hernandez, Guillermo Sapiro, Alejandro F. Frangi:
Pre-clinical evaluation of implicit deformable models for three-dimensional segmentation of brain aneurysms from CTA images. Image Processing 2003
Coauthor Index
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