Jacobo Ayensa-Jiménez

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayesian Calibration and Model Assessment of Cell Migration Dynamics with Surrogate Model Integration.
CoRR
Christina Schenk, Jacobo Ayensa-Jiménez, Ignacio Romero
2025 J jnl
Computer vision for automatic identification of blastocyst structures and blastocyst formation time in In-Vitro Fertilization.
Comput. Biol. Medicine
María Villota, Jacobo Ayensa-Jiménez, Clara Malo, Antonio Urries, Manuel Doblaré, Jónathan Heras
2025 J jnl
Enhancing material behavior discovery using embedding-oriented Physically-Guided Neural Networks with Internal Variables.
CoRR
Rubén Muñoz-Sierra, Manuel Doblaré, Jacobo Ayensa-Jiménez
2024 — conf
Image Processing and Deep Learning Methods for the Semantic Segmentation of Blastocyst Structures.
CAEPIA
María Villota, Jacobo Ayensa-Jiménez, Manuel Doblaré, Jónathan Heras
2024 J jnl
Modelling glioblastoma resistance to temozolomide. A mathematical model to simulate cellular adaptation in vitro.
Comput. Biol. Medicine
Marina Pérez-Aliacar, Jacobo Ayensa-Jiménez, Teodora Randelovic, Ignacio Ochoa, Manuel Doblaré
2023 J jnl
Modelling cell adaptation using internal variables: Accounting for cell plasticity in continuum mathematical biology.
Comput. Biol. Medicine
Marina Pérez-Aliacar, Jacobo Ayensa-Jiménez, Manuel Doblaré
2023 J jnl
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables.
CoRR
Javier Orera-Echeverria, Jacobo Ayensa-Jiménez, Manuel Doblaré
2022 J jnl
Understanding glioblastoma invasion using physically-guided neural networks with internal variables.
PLoS Comput. Biol.
Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré
2021 J jnl
Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach.
Comput. Biol. Medicine
Marina Pérez-Aliacar, Mohamed Hamdy Doweidar, Manuel Doblaré, Jacobo Ayensa-Jiménez
2020 J jnl
Identification of state functions by physically-guided neural networks with physically-meaningful internal layers.
CoRR
Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré
2020 J jnl
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems.
CoRR
Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré