Jacobo Ayensa-Jiménez

According to our database, Jacobo Ayensa-Jiménez authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Modelling glioblastoma resistance to temozolomide. A mathematical model to simulate cellular adaptation in vitro.

Marina Pérez-Aliacar, Jacobo Ayensa-Jiménez, Teodora Randelovic, Ignacio Ochoa, Manuel Doblaré

Comput. Biol. Medicine, 2024

Image Processing and Deep Learning Methods for the Semantic Segmentation of Blastocyst Structures.

María Villota, Jacobo Ayensa-Jiménez, Manuel Doblaré, Jónathan Heras

Proceedings of the Advances in Artificial Intelligence, 2024

2023

Modelling cell adaptation using internal variables: Accounting for cell plasticity in continuum mathematical biology.

Marina Pérez-Aliacar, Jacobo Ayensa-Jiménez, Manuel Doblaré

Comput. Biol. Medicine, September, 2023

Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables.

Javier Orera-Echeverria, Jacobo Ayensa-Jiménez, Manuel Doblaré

CoRR, 2023

2022

Understanding glioblastoma invasion using physically-guided neural networks with internal variables.

Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré

PLoS Comput. Biol., 2022

2021

Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach.

Marina Pérez-Aliacar, Mohamed Hamdy Doweidar, Manuel Doblaré, Jacobo Ayensa-Jiménez

Comput. Biol. Medicine, 2021

2020

On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems.

Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré

CoRR, 2020

Identification of state functions by physically-guided neural networks with physically-meaningful internal layers.

Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré

CoRR, 2020