Login / Signup
Jacobo Ayensa-Jiménez
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 8
Top Topics
Neural Network
Top Venues
CoRR
Comput. Biol. Medicine
CAEPIA
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)