| 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 | 53 | 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 | 36 | 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 | 23* | 2021 |
| 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 | 20 | 2020 |
| 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 |
| 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 | 18 | 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 | 9 | 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 | 9 | 2020 |
| 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 | 6 | 2022 |
| 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 | 4 | 2023 |
| 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 |
| Modelling cell adaptation using internal variables: Accounting for cell plasticity in continuum mathematical biology M Pérez-Aliacar, J Ayensa-Jiménez, M Doblaré Computers in Biology and Medicine 164, 107291, 2023 | 3 | 2023 |
| 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 PhD thesis, Universidad de Zaragoza, 2022 | 3 | 2022 |
| 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 | 2 | 2023 |
| 3D modeling of glioblastoma multiforme growth in microfluidic devices A Costa-Solé, M Discacciati, M Pérez-Aliacar, J Ayensa-Jiménez, ... by International Center for Numerical Methods in Engineering (CIMNE …, 2022 | 1 | 2022 |
| Modelling glioblastoma resistance to temozolomide. A mathematical model to simulate cellular adaptation in vitro M Pérez-Aliacar, J Ayensa-Jiménez, T Ranđelović, I Ochoa, M Doblaré Computers in Biology and Medicine 180, 108866, 2024 | | 2024 |
| Predicting and explaining nonlinear material response using deep physically guided neural networks with internal variables J Ayensa-Jiménez, J Orera-Echeverría, M Doblare Mathematics and Mechanics of Solids, 10812865241257850, 2024 | | 2024 |
| Una Segmentación del blastocisto mediante técnicas de visión por computador. MV Miranda, J Ayensa-Jiménez, M Doblare, J Heras Jornada de Jóvenes Investigadores del I3A 12, 2024 | | 2024 |
| Redes neuronales guiadas por física en la ecuación del calor estacionaria: cálculo de soluciones, desentrañado de ecuaciones de estado y revelado de la microestructura de … RM Sierra, JA Jiménez, MD Castellano Jornada de Jóvenes Investigadores del I3A 12, 2024 | | 2024 |
Manuel DoblareUniversity of Zaragoza在 unizar.es 的电子邮件经过验证
