Monica Hernandez

37 papers A* 1A 2B 3Journal 18Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Systematic Review of Cross-Population Shifts in Medical Imaging Analysis with Deep Learning.
Big Data Cogn. Comput.
Aminu Musa, Rajesh Prasad, Peter Onwualu, Monica Hernandez
2025 J jnl
Deploying computation-based Making projects in authentic public school classrooms at scale: Lessons learned.
Int. J. Child Comput. Interact.
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
2025 J jnl
Multimodal Diffeomorphic Registration with Neural ODEs and Structural Descriptors.
CoRR
Salvador Rodriguez-Sanz, Monica Hernandez
2025 J jnl
PDE-LDDMM meets NODEs: Introducing neural ordinary differential equation solvers in PDE-constrained Large Deformation Diffeomorphic Metric Mapping.
J. Comput. Sci.
Monica Hernandez
2024 — conf
Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation.
MICCAI (3)
Aminu Musa, Mariya Ibrahim Adamu, Habeebah Adamu Kakudi, Monica Hernandez, Yusuf Lawal
2024 — conf
Comparison Between External and Internal Imputation of Missing Values in Longitudinal Data for Alzheimer's Disease Diagnosis.
MetroXRAINE
Federica Aracri, Monica Hernandez, Andrea Quattrone, Alessia Sarica
2024 — conf
EPDiff-JF-Net: Adjoint Jacobi Fields for Diffeomorphic Registration Networks.
ISBI
Ubaldo Ramon-Julvez, Monica Hernandez, Elvira Mayordomo
2024 J jnl
Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation.
Comput. Biol. Medicine
Monica Hernandez, Ubaldo Ramon-Julvez
2022 — conf
LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration.
WBIR
Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo
2022 J jnl
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
Monica Hernandez, Ubaldo Ramon-Julvez, Daniel Sierra-Tome
2021 J jnl
Combining the Band-Limited Parameterization and Semi-Lagrangian Runge-Kutta Integration for Efficient PDE-Constrained LDDMM.
J. Math. Imaging Vis.
Monica Hernandez
2021 J jnl
Efficient momentum conservation constrained PDE-LDDMM with Gauss-Newton-Krylov optimization, Semi-Lagrangian Runge-Kutta solvers, and the band-limited parameterization.
J. Comput. Sci.
Monica Hernandez
2021 J jnl
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration.
CoRR
Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo
2020 — conf
Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks.
ISBI
Ubaldo Ramon-Julvez, Monica Hernandez, Elvira Mayordomo, Adni
2020 J jnl
Combining the band-limited parameterization and Semi-Lagrangian Runge-Kutta integration for efficient PDE-constrained LDDMM.
CoRR
Monica Hernandez
2019 J jnl
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.
Monica Hernandez
2019 J jnl
Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping.
IEEE J. Biomed. Health Informatics
Monica Hernandez
2018 J jnl
Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization.
CoRR
Monica Hernandez
2018 — conf
Evolution of GWAS results through ADNI cohorts.
BIBM
Belen Marin, Carlos Alquezar-Baeta, Monica Hernandez, Elvira Mayordomo
2018 J jnl
Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields.
CoRR
Monica Hernandez
2018 J jnl
PDE-constrained LDDMM via geodesic shooting and inexact Gauss-Newton-Krylov optimization using the incremental adjoint Jacobi equations.
CoRR
Monica Hernandez
2018 J jnl
Primal-dual optimization strategies in Huber-
Image Vis. Comput.
Monica Hernandez
2015 A conf
Primal-Dual convex optimization in large deformation diffeomorphic registration with robust regularizers.
BMVC
Monica Hernandez
2012 — conf
Parameterized space conditions for the definition of locomotion modes in modular snake robots.
ROBIO
Kamilo Melo, Monica Hernandez, Daniel Gonzalez
2011 — conf
Preliminary studies on modular snake robots applied on de-mining tasks.
LARC
Kamilo Melo, Laura Paez, Monica Hernandez, Alexandra Velasco, Francisco Calderon, Carlos Parra
2009 J jnl
Registration of Anatomical Images Using Paths of Diffeomorphisms Parameterized with Stationary Vector Field Flows.
Int. J. Comput. Vis.
Monica Hernandez, Matías N. Bossa, Salvador Olmos
2008 — conf
Gauss-Newton optimization in Diffeomorphic registration.
ISBI
Monica Hernandez, Salvador Olmos
2007 — conf
Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images.
MICCAI (1)
Matías N. Bossa, Monica Hernandez, Salvador Olmos
2007 J jnl
Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA.
Medical Image Anal.
Monica Hernandez, Alejandro F. Frangi
2007 A* conf
Registration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields.
ICCV
Monica Hernandez, Matías N. Bossa, Salvador Olmos
2006 A conf
A State Exploration-Based Approach to Testing Java Monitors.
ISSRE
Yu Lei, Richard H. Carver, David Chenho Kung, Vidur Gupta, Monica Hernandez
2005 B conf
Brain aneurysm segmentation in CTA and 3DRA using geodesic active regions based on second order prototype features and nonparametric density estimation.
Image Processing
Monica Hernandez, Alejandro Federico Frangi
2005 B conf
Characterization of cerebral aneurysms using 3D moment invariants.
Image Processing
Raul Daniel Millan, Monica Hernandez, Daniel Gallardo, Juan Raúl Cebral, Christopher M. Putman, Laura Dempere-Marco, Alejandro Federico Frangi
2005 — ed.
Functional Imaging and Modeling of the Heart, Third International Workshop, FIMH 2005, Barcelona, Spain, June 2-4, 2005, Proceedings
FIMH
Alejandro F. Frangi, Petia Radeva, Andrés Santos, Monica Hernandez
2004 — conf
Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their Application to Aneurysm Segmentation from CTA.
MIAR
Monica Hernandez, Alejandro F. Frangi
2003 B conf
Pre-clinical evaluation of implicit deformable models for three-dimensional segmentation of brain aneurysms from CTA images.
Image Processing
Monica Hernandez, Rosario Barrena, Gabriel Hernandez, Guillermo Sapiro, Alejandro F. Frangi
2003 — conf
Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable Models: Method and Evaluation.
MICCAI (2)
Monica Hernandez, Alejandro F. Frangi, Guillermo Sapiro