Soft Computing and Computer Vision for Comparative Radiography in Forensic Identification

Project Information

SKELETON-ID

Grant agreement ID: 746592

DOI

10.3030/746592

Project closed

EC signature date 4 April 2017

Start date 1 April 2018

End date 5 May 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 170 121,60

EU contribution

€ 170 121,60

Coordinated by

UNIVERSIDAD DE GRANADA
Spain

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Publications

Peer reviewed articles (2)

Deep architectures for high-resolution multi-organ chest X-ray image segmentation

Author(s): Oscar Gómez, Pablo Mesejo, Oscar Ibáñez, Andrea Valsecchi, Oscar Cordón
Published in: Neural Computing and Applications, 2020, ISSN 0941-0643
Publisher: Springer Verlag
DOI: 10.1007/s00521-019-04532-y

Age Estimation in Forensic Anthropology: methodological considerations about the validation studies of prediction models

Author(s): Valsecchi, Andrea; Irurita Olivares, Javier; Mesejo, Pablo
Published in: International Journal of Legal Medicine, Issue 133, 2019, Page(s) 1915-1924, ISSN 0937-9827
Publisher: Springer Verlag

Non-peer reviewed articles (1)

Soft computing and computer vision for comparative radiography in forensic identification

Author(s): Pablo Mesejo
Published in: The Project Repository Journal, Issue Volume 5 – April 2020, 2020, Page(s) 12-15, ISSN 2632-4067
Publisher: European Dissemination Media Agency

Conference proceedings (1)

A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses

Author(s): Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó.
Published in: 22nd IEEE Congress on Evolutionary Computation (IEEE CEC'20), 2020
Publisher: Institute of Electrical and Electronic Engineers, Inc.