Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable Models: Method and Evaluation. - Monica Hernandez; Alejandro F. Frangi; Guillermo Sapiro (MICCAI (2), 2003)

Pre-clinical evaluation of implicit deformable models for three-dimensional segmentation of brain aneurysms from CTA images. - Monica Hernandez; Rosario Barrena; Gabriel Hernandez; Guillermo Sapiro; Alejandro F. Frangi (Image Processing, 2003)

Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their Application to Aneurysm Segmentation from CTA. - Monica Hernandez; Alejandro F. Frangi (MIAR, 2004)

Brain aneurysm segmentation in CTA and 3DRA using geodesic active regions based on second order prototype features and nonparametric density estimation. - Monica Hernandez; Alejandro Federico Frangi (Image Processing, 2005)

Characterization of cerebral aneurysms using 3D moment invariants. - Raul Daniel Millan; Monica Hernandez; Daniel Gallardo; Juan Raúl Cebral; Christopher M. Putman; Laura Dempere-Marco; Alejandro Federico Frangi (Image Processing, 2005)

A State Exploration-Based Approach to Testing Java Monitors. - Yu Lei 001; Richard H. Carver; David Chenho Kung; Vidur Gupta; Monica Hernandez (ISSRE, 2006)

Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields. - Monica Hernandez; Matías N. Bossa; Salvador Olmos (ICCV, 2007)

Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images. - Matías N. Bossa; Monica Hernandez; Salvador Olmos (MICCAI (1), 2007)

Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA. - Monica Hernandez; Alejandro F. Frangi (Medical Image Anal., 2007)

Gauss-Newton optimization in Diffeomorphic registration. - Monica Hernandez; Salvador Olmos (ISBI, 2008)

Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows. - Monica Hernandez; Matías N. Bossa; Salvador Olmos (Int. J. Comput. Vis., 2009)

Preliminary studies on modular snake robots applied on de-mining tasks. - Kamilo Melo; Laura Paez; Monica Hernandez; Alexandra Velasco; Francisco Calderon; Carlos Parra (LARC, 2011)

Parameterized space conditions for the definition of locomotion modes in modular snake robots. - Kamilo Melo; Monica Hernandez; Daniel Gonzalez 002 (ROBIO, 2012)

Primal-Dual convex optimization in large deformation diffeomorphic registration with robust regularizers. - Monica Hernandez (BMVC, 2015)

Evolution of GWAS results through ADNI cohorts. - Belen Marin; Carlos Alquezar-Baeta; Monica Hernandez; Elvira Mayordomo (BIBM, 2018)

PDE-constrained LDDMM via geodesic shooting and inexact Gauss-Newton-Krylov optimization using the incremental adjoint Jacobi equations. - Monica Hernandez (CoRR, 2018)

Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields. - Monica Hernandez (CoRR, 2018)

Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization. - Monica Hernandez (CoRR, 2018)

Primal-dual optimization strategies in Huber-L1 optical flow with temporal subspace constraints for non-rigid sequence registration. - Monica Hernandez (Image Vis. Comput., 2018)

A Comparative Study of Different Variants of Newton-Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-Limited Vector Fields. - Monica Hernandez (SIAM J. Imaging Sci., 2019)

Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping. - Monica Hernandez (IEEE J. Biomed. Health Informatics, 2019)

Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks. - Ubaldo Ramon-Julvez; Monica Hernandez; Elvira Mayordomo; Adni (ISBI, 2020)

Combining the Band-Limited Parameterization and Semi-Lagrangian Runge-Kutta Integration for Efficient PDE-Constrained LDDMM. - Monica Hernandez (J. Math. Imaging Vis., 2021)

Efficient momentum conservation constrained PDE-LDDMM with Gauss-Newton-Krylov optimization, Semi-Lagrangian Runge-Kutta solvers, and the band-limited parameterization. - Monica Hernandez (J. Comput. Sci., 2021)

LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration. - Ubaldo Ramon; Monica Hernandez; Elvira Mayordomo (WBIR, 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. - Monica Hernandez; Ubaldo Ramon-Julvez; Daniel Sierra-Tome (Sensors, 2022)

EPDiff-JF-Net: Adjoint Jacobi Fields for Diffeomorphic Registration Networks. - Ubaldo Ramon-Julvez; Monica Hernandez; Elvira Mayordomo (ISBI, 2024)

Comparison Between External and Internal Imputation of Missing Values in Longitudinal Data for Alzheimer's Disease Diagnosis. - Federica Aracri; Monica Hernandez; Andrea Quattrone; Alessia Sarica (MetroXRAINE, 2024)

Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation. - Aminu Musa; Mariya Ibrahim Adamu; Habeebah Adamu Kakudi; Monica Hernandez; Yusuf Lawal (MICCAI (3), 2024)

Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation. - Monica Hernandez; Ubaldo Ramon-Julvez (Comput. Biol. Medicine, 2024)

Traditional LDDMM vs Deep Learning. Deformation fields on NIREP and OASIS. - Monica Hernandez (IEEE DataPort, 2024)

Deploying computation-based Making projects in authentic public school classrooms at scale: Lessons learned. - Abhishek Kulkarni; David Magda; Rebecca Ward; Yerika Jimenez; Monica Hernandez; Ting Liu; Christina Gardner-McCune; Francis K. H. Quek; Rebecca J. Schlegel; Sharon Lynn Chu (Int. J. Child Comput. Interact., 2025)

PDE-LDDMM meets NODEs: Introducing neural ordinary differential equation solvers in PDE-constrained Large Deformation Diffeomorphic Metric Mapping. - Monica Hernandez (J. Comput. Sci., 2025)