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ORCIDJacobo Ayensa-Jiménez
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2020 – today
- 2024
[j4]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: 108866 (2024)- [c1]María Villota, Jacobo Ayensa-Jiménez, Manuel Doblaré, Jónathan Heras:
Image Processing and Deep Learning Methods for the Semantic Segmentation of Blastocyst Structures. CAEPIA 2024: 213-222 - 2023
- [j3]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: 107291 (2023) - [i3]Javier Orera-Echeverria, Jacobo Ayensa-Jiménez, Manuel Doblaré:
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables. CoRR abs/2308.03915 (2023) - 2022
- [j2]Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré:
Understanding glioblastoma invasion using physically-guided neural networks with internal variables. PLoS Comput. Biol. 18(4) (2022) - 2021
- [j1]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: 104547 (2021) - 2020
- [i2]Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré:
Identification of state functions by physically-guided neural networks with physically-meaningful internal layers. CoRR abs/2011.08567 (2020) - [i1]Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré:
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems. CoRR abs/2011.11376 (2020)
Coauthor Index
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