Monica Hernandez

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 15

Top Topics

Diffeomorphic Registration

Convolutional Neural Networks

Sum Of Squared Differences

Top Venues

IEEE J. Biomed. Health Informatics

Publications

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 (2024)
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) (2022)
Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo
LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration. WBIR (2022)
Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration. CoRR (2021)
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 (2021)
Monica Hernandez
Combining the Band-Limited Parameterization and Semi-Lagrangian Runge-Kutta Integration for Efficient PDE-Constrained LDDMM. J. Math. Imaging Vis. 63 (5) (2021)
Monica Hernandez
Combining the band-limited parameterization and Semi-Lagrangian Runge-Kutta integration for efficient PDE-constrained LDDMM. CoRR (2020)
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)
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) (2019)
Monica Hernandez
Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Monica Hernandez
optical flow with temporal subspace constraints for non-rigid sequence registration. Image Vis. Comput. 69 (2018)
Monica Hernandez
Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields. CoRR (2018)
Monica Hernandez
Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization. CoRR (2018)
Monica Hernandez
PDE-constrained LDDMM via geodesic shooting and inexact Gauss-Newton-Krylov optimization using the incremental adjoint Jacobi equations. CoRR (2018)
Belen Marin, Carlos Alquezar-Baeta, Monica Hernandez, Elvira Mayordomo
Evolution of GWAS results through ADNI cohorts. BIBM (2018)
Monica Hernandez
Primal-Dual convex optimization in large deformation diffeomorphic registration with robust regularizers. BMVC (2015)
Kamilo Melo, Monica Hernandez, Daniel Gonzalez
Parameterized space conditions for the definition of locomotion modes in modular snake robots. ROBIO (2012)
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)
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) (2009)
Monica Hernandez, Salvador Olmos
Gauss-Newton optimization in Diffeomorphic registration. ISBI (2008)
Matías N. Bossa, Monica Hernandez, Salvador Olmos
Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images. MICCAI (1) (2007)
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) (2007)
Monica Hernandez, Matías N. Bossa, Salvador Olmos
Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields. ICCV (2007)
Yu Lei, Richard H. Carver, David Chenho Kung, Vidur Gupta, Monica Hernandez
A State Exploration-Based Approach to Testing Java Monitors. ISSRE (2006)
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. Medical Imaging: Image Processing (2005)
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. Medical Imaging: Image Processing (2005)
Monica Hernandez, Alejandro F. Frangi
Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their Application to Aneurysm Segmentation from CTA. MIAR (2004)
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. Medical Imaging: Image Processing (2003)
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)