| Artificial astrocytes improve neural network performance AB Porto-Pazos, N Veiguela, P Mesejo, M Navarrete, A Alvarellos, ... PloS one 6 (4), e19109, 2011 | 110 | 2011 |
| Forensic identification by computer-aided craniofacial superimposition: a survey S Damas, O Cordon, O Ibanez, J Santamaria, I Alemán, M Botella, ... ACM Computing Surveys (CSUR) 43 (4), 1-27, 2011 | 104 | 2011 |
| A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis P Mesejo, O Ibáñez, O Cordón, S Cagnoni Applied Soft Computing 44, 1-29, 2016 | 103 | 2016 |
| An experimental study on the applicability of evolutionary algorithms to craniofacial superimposition in forensic identification O Ibáñez, L Ballerini, O Cordón, S Damas, J Santamaría Information Sciences 179 (23), 3998-4028, 2009 | 98 | 2009 |
| Modeling the skull–face overlay uncertainty using fuzzy sets O Ibánez, O Cordón, S Damas, J Santamaria IEEE Transactions on Fuzzy Systems 19 (5), 946-959, 2011 | 70 | 2011 |
| Dispersion assessment in the location of facial landmarks on photographs BR Campomanes-Álvarez, O Ibáñez, F Navarro, I Alemán, O Cordón, ... International journal of legal medicine 129, 227-236, 2015 | 64 | 2015 |
| Past, present, and future of craniofacial superimposition: Literature and international surveys MI Huete, O Ibáñez, C Wilkinson, T Kahana Legal Medicine 17 (4), 267-278, 2015 | 63 | 2015 |
| A survey on artificial intelligence techniques for biomedical image analysis in skeleton-based forensic human identification P Mesejo, R Martos, Ó Ibáñez, J Novo, M Ortega Applied Sciences 10 (14), 4703, 2020 | 53 | 2020 |
| A cooperative coevolutionary approach dealing with the skull–face overlay uncertainty in forensic identification by craniofacial superimposition O Ibánez, O Cordón, S Damas Soft Computing 16, 797-808, 2012 | 49 | 2012 |
| Study on the performance of different craniofacial superimposition approaches (II): best practices proposal S Damas, C Wilkinson, T Kahana, E Veselovskaya, A Abramov, ... Forensic science international 257, 504-508, 2015 | 46 | 2015 |
| Artificial neuron–glia networks learning approach based on cooperative coevolution P Mesejo, O Ibánez, E Fernández-Blanco, F Cedrón, A Pazos, ... International journal of neural systems 25 (04), 1550012, 2015 | 45 | 2015 |
| Deep architectures for high-resolution multi-organ chest X-ray image segmentation O Gómez, P Mesejo, O Ibáñez, A Valsecchi, O Cordón Neural Computing and Applications 32 (20), 15949-15963, 2020 | 42 | 2020 |
| Computer vision and soft computing for automatic skull–face overlay in craniofacial superimposition BR Campomanes-Álvarez, O Ibáñez, F Navarro, I Alemán, M Botella, ... Forensic Science International 245, 77-86, 2014 | 39 | 2014 |
| Handbook on craniofacial superimposition: The MEPROCS project S Damas, O Cordón, O Ibáñez Springer Nature, 2020 | 36 | 2020 |
| An advanced scatter search design for skull-face overlay in craniofacial superimposition O Ibáñez, O Cordón, S Damas, J Santamaría Expert systems with applications 39 (1), 1459-1473, 2012 | 36 | 2012 |
| Genetic approaches for topological active nets optimization O Ibánez, N Barreira, J Santos, MG Penedo Pattern Recognition 42 (5), 907-917, 2009 | 36 | 2009 |
| Hierarchical information fusion for decision making in craniofacial superimposition C Campomanes-Alvarez, O Ibáñez, O Cordón, C Wilkinson Information Fusion 39, 25-40, 2018 | 35 | 2018 |
| Modeling facial soft tissue thickness for automatic skull-face overlay BR Campomanes-Álvarez, O Ibánez, C Campomanes-Álvarez, S Damas, ... IEEE Transactions on Information Forensics and Security 10 (10), 2057-2070, 2015 | 35 | 2015 |
| Encyclopedia of forensic sciences S Damas, O Cordón, O Ibáñez, D Gaudio, L Olivieri, D De Angelis, ... Journal of Forensic Sciences 10, 1556-4029.12856, 2016 | 30 | 2016 |
| Ground truth data generation for skull–face overlay O Ibáñez, F Cavalli, BR Campomanes-Álvarez, C Campomanes-Álvarez, ... International Journal of Legal Medicine 129, 569-581, 2015 | 30 | 2015 |
Oscar CordónProfessor, IEEE-IFSA Fellow, Natl. Computer Science Award. DaSCI Research Institute & DECSAI, UGRDirección de correo verificada de decsai.ugr.es
