Jacobo Ayensa-Jiménez

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Top Venues

Comput. Biol. Medicine

PLoS Comput. Biol.

Publications

María Villota, Jacobo Ayensa-Jiménez, Manuel Doblaré, Jónathan Heras
Image Processing and Deep Learning Methods for the Semantic Segmentation of Blastocyst Structures. CAEPIA (2024)
Marina Pérez-Aliacar, Jacobo Ayensa-Jiménez, Teodora Randelovic, Ignacio Ochoa, Manuel Doblaré
Modelling glioblastoma resistance to temozolomide. A mathematical model to simulate cellular adaptation in vitro. Comput. Biol. Medicine 180 (2024)
Javier Orera-Echeverria, Jacobo Ayensa-Jiménez, Manuel Doblaré
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables. CoRR (2023)
Marina Pérez-Aliacar, Jacobo Ayensa-Jiménez, Manuel Doblaré
Modelling cell adaptation using internal variables: Accounting for cell plasticity in continuum mathematical biology. Comput. Biol. Medicine 164 (2023)
Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, Jose Antonio Sanz-Herrera, Manuel Doblaré
Understanding glioblastoma invasion using physically-guided neural networks with internal variables. PLoS Comput. Biol. 18 (4) (2022)
Marina Pérez-Aliacar, Mohamed Hamdy Doweidar, Manuel Doblaré, Jacobo Ayensa-Jiménez
Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach. Comput. Biol. Medicine 135 (2021)
Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, Jose Antonio Sanz-Herrera, Manuel Doblaré
Identification of state functions by physically-guided neural networks with physically-meaningful internal layers. CoRR (2020)
Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, Jose Antonio Sanz-Herrera, Manuel Doblaré
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems. CoRR (2020)