Folgen
Oscar Ibañez
Oscar Ibañez
Panacea Cooperative Research
Bestätigte E-Mail-Adresse bei decsai.ugr.es - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Forensic identification by computer-aided craniofacial superimposition: a survey
S Damas, O Cordon, O Ibanez, J Santamaría, I Alemán, M Botella, ...
ACM Computing Surveys (CSUR) 43 (4), 1-27, 2011
1042011
Artificial astrocytes improve neural network performance
AB Porto-Pazos, N Veiguela, P Mesejo, M Navarrete, A Alvarellos, ...
PloS one 6 (4), e19109, 2011
1032011
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
972016
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
962009
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
692011
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
632015
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
612015
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
482012
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
452015
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
452015
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
402020
Computer vision and soft computing for automatic skull–face overlay in craniofacial superimposition
BR Campomanes-Alvarez, O Ibáñez, F Navarro, I Alemán, M Botella, ...
Forensic Science International 245, 77-86, 2014
392014
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
372020
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
362015
Genetic approaches for topological active nets optimization
O Ibánez, N Barreira, J Santos, MG Penedo
Pattern Recognition 42 (5), 907-917, 2009
362009
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
352012
Hierarchical information fusion for decision making in craniofacial superimposition
C Campomanes-Alvarez, O Ibáñez, O Cordón, C Wilkinson
Information Fusion 39, 25-40, 2018
332018
Handbook on craniofacial superimposition: The MEPROCS project
S Damas, O Cordón, O Ibáñez
Springer Nature, 2020
302020
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
302015
3D-2D silhouette-based image registration for comparative radiography-based forensic identification
O Gómez, O Ibánez, A Valsecchi, O Cordón, T Kahana
Pattern Recognition 83, 469-480, 2018
262018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20