| A new reliability-based data-driven approach for noisy experimental data with physical constraints J Ayensa-Jiménez, MH Doweidar, JA Sanz-Herrera, M Doblaré Computer Methods in Applied Mechanics and Engineering 328, 752-774, 2018 | 48 | 2018 |
| Mathematical formulation and parametric analysis of in vitro cell models in microfluidic devices: application to different stages of glioblastoma evolution J Ayensa-Jiménez, M Pérez-Aliacar, T Randelovic, S Oliván, L Fernández, ... Scientific Reports 10 (1), 21193, 2020 | 27 | 2020 |
| Prediction and identification of physical systems by means of physically-guided neural networks with meaningful internal layers J Ayensa-Jimenez, MH Doweidar, JA Sanz-Herrera, M Doblare Computer Methods in Applied Mechanics and Engineering 381, 113816, 2021 | 19* | 2021 |
| An unsupervised data completion method for physically-based data-driven models J Ayensa-Jiménez, MH Doweidar, JA Sanz-Herrera, M Doblaré Computer Methods in Applied Mechanics and Engineering 344, 120-143, 2019 | 19 | 2019 |
| A multiscale data-driven approach for bone tissue biomechanics J Mora-Macías, J Ayensa-Jiménez, E Reina-Romo, MH Doweidar, ... Computer Methods in Applied Mechanics and Engineering 368, 113136, 2020 | 16 | 2020 |
| Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach M Pérez-Aliacar, MH Doweidar, M Doblaré, J Ayensa-Jiménez Computers in Biology and Medicine 135, 104547, 2021 | 9 | 2021 |
| Data-driven computational simulation in bone mechanics JA Sanz-Herrera, J Mora-Macías, J Ayensa-Jiménez, E Reina-Romo, ... Annals of Biomedical Engineering 49, 407-419, 2021 | 8 | 2021 |
| On the application of physically-guided neural networks with internal variables to continuum problems J Ayensa-Jiménez, MH Doweidar, JA Sanz-Herrera, M Doblaré arXiv preprint arXiv:2011.11376, 2020 | 8 | 2020 |
| Analysis of the parametric correlation in mathematical modeling of in vitro glioblastoma evolution using copulas J Ayensa-Jiménez, M Pérez-Aliacar, T Randelovic, JA Sanz-Herrera, ... Mathematics 9 (1), 27, 2020 | 4 | 2020 |
| On the simulation of organ-on-chip cell processes: Application to an in vitro model of glioblastoma evolution J Ayensa-Jiménez, MH Doweidar, T Randelovic, LJ Fernández, S Oliván, ... Advances in Biomechanics and Tissue Regeneration, 313-341, 2019 | 4 | 2019 |
| Understanding glioblastoma invasion using physically-guided neural networks with internal variables J Ayensa-Jiménez, MH Doweidar, JA Sanz-Herrera, M Doblare PLoS Computational Biology 18 (4), e1010019, 2022 | 3 | 2022 |
| Study of the effect of the tumour microenvironment on cell response using a combined simulation and machine learning approach. Application to the evolution of Glioblastoma. J Ayensa Jiménez, M Doblaré Castellano, M Doweidar Mohyeldin | 2 | |
| Nanoparticles Stokes radius assessment through permeability coefficient determination within a new stratified epithelium on-chip model E Fernandez-Carro, R Salomon-Cambero, L Armero, HA Castro-Abril, ... Artificial Cells, Nanomedicine, and Biotechnology 51 (1), 466-475, 2023 | | 2023 |
| Comment on “Mechanotransduction in tumor dynamics modeling” by B. Blanco, H. Gomez, J. Melchor, R. Palma, J. Soler, G. Rus M Doblare, J Ayensa-Jiménez, M Perez-Aliacar Physics of Life Reviews, 2023 | | 2023 |
| A Mathematical Modelling Study of Chemotactic Dynamics in Cell Cultures: The Impact of Spatio-temporal Heterogeneity J Ayensa-Jiménez, MH Doweidar, M Doblaré, EA Gaffney Bulletin of Mathematical Biology 85 (10), 98, 2023 | | 2023 |
| Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables J Orera-Echeverria, J Ayensa-Jiménez, M Doblare arXiv preprint arXiv:2308.03915, 2023 | | 2023 |
| Plasticidad fenotípica in silico: adaptación celular del glioblastoma a la hipoxia utilizando modelos matemáticos. MP Aliacar, J Ayensa-Jiménez, M Doblaré Jornada de Jóvenes Investigadores del I3A 11, 2023 | | 2023 |
| Modelling glioblastoma resistance to temozolomide. Combination of spheroid and mathematical models to simulate cellular adaptation in vitro. M Perez-Aliacar, J Ayensa-Jimenez, T Randelovic, I Ochoa, M Doblare bioRxiv, 2023.11. 24.568421, 2023 | | 2023 |
| Modelling cell adaptation using internal variables accounting for cell plasticity in continuum mathematical biology M Perez-Aliacar, J Ayensa-Jimenez, M Doblare bioRxiv, 2023.05. 08.539423, 2023 | | 2023 |
| Massive data probabilistic framework for parameter estimation in biological problems M Pérez-Aliacar, J Ayensa-Jiménez, MH Doweidar, M Doblaré Digital Human Modeling and Medicine, 19-62, 2023 | | 2023 |
Manuel DoblareUniversity of ZaragozaDirección de correo verificada de unizar.es
