Monica Hernandez

Associate Professor, Computer Sciences, University of Zaragoza

Joined

February 2019

Names

Monica Hernandez

Emails

****@unizar.es (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Associate Professor

Computer Sciences, University of Zaragoza (unizar.es)

2010 – Present

Advisors, Relations & Conflicts

PhD Advisee

Ubaldo Ramon-Julvez

2020 – 2023

Coauthor

Elvira Mayordomo

2015 – 2023

Expertise

Explainability in AI

2020 – 2023

Deep Learning

2015 – 2023

Medical Image Registration

2005 – 2023

Optimization in Computer Vision applications

2005 – 2023

Optical Flow

2005 – 2023

Segmentation

2001 – 2007

Publications

LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration
Ubaldo Ramon Julvez, Monica Hernandez, Elvira Mayordomo
- Published: 22 Feb 2022, Last Modified: 05 May 2023
- WBIR 2022
- Readers: Everyone
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
- Published: 01 Jan 2022, Last Modified: 03 Nov 2023
- Sensors 2022
- Readers: Everyone
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration
Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo
- Published: 01 Jan 2021, Last Modified: 06 Nov 2023
- CoRR 2021
- Readers: Everyone
Efficient momentum conservation constrained PDE-LDDMM with Gauss-Newton-Krylov optimization, Semi-Lagrangian Runge-Kutta solvers, and the band-limited parameterization
Monica Hernandez
- Published: 01 Jan 2021, Last Modified: 06 Nov 2023
- J. Comput. Sci. 2021
- Readers: Everyone
Combining the Band-Limited Parameterization and Semi-Lagrangian Runge-Kutta Integration for Efficient PDE-Constrained LDDMM
Monica Hernandez
- Published: 01 Jan 2021, Last Modified: 06 Nov 2023
- J. Math. Imaging Vis. 2021
- Readers: Everyone
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
- Published: 01 Jan 2020, Last Modified: 03 Nov 2023
- ISBI 2020
- Readers: Everyone
Combining the band-limited parameterization and Semi-Lagrangian Runge-Kutta integration for efficient PDE-constrained LDDMM
Monica Hernandez
- Published: 01 Jan 2020, Last Modified: 06 Nov 2023
- CoRR 2020
- Readers: Everyone
Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping
Monica Hernandez
- Published: 01 Jan 2019, Last Modified: 06 Nov 2023
- IEEE J. Biomed. Health Informatics 2019
- Readers: Everyone
A Comparative Study of Different Variants of Newton-Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-Limited Vector Fields
Monica Hernandez
- Published: 01 Jan 2019, Last Modified: 06 Nov 2023
- SIAM J. Imaging Sci. 2019
- Readers: Everyone
Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields
Monica Hernandez
- Published: 01 Jan 2018, Last Modified: 06 Nov 2023
- CoRR 2018
- Readers: Everyone

View all 26 publications

Monica Hernandez

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors