Peer-Reviewed Publication
Comput Methods Programs Biomed2026;286109603.November 1, 2026Journal Article
Experiences on using the CHAIMELEON secure processing environment in an open competition addressing five AI challenges.
J Damián Segrelles Quilis1, Pau Lozano2, Ana Blanco-Sanchez3, Andy S Alic2, Luis Marti-Bonmati4, Ignacio Blanquer2, Ana Jimenez-Pastor3
1Instituto de Instrumentación para Imagen Molecular (I3M), Universitat Politècnica de València (UPV), Camino de Vera S/N, València, 46022, València, Spain. Electronic address: dquilis@dsic.upv.es.
2Instituto de Instrumentación para Imagen Molecular (I3M), Universitat Politècnica de València (UPV), Camino de Vera S/N, València, 46022, València, Spain.
3Quantitative Imaging Biomarkers in Medicine, Quibim SL, Avenida Aragón 30, Edificio Europa, 13th floor, Office J, València, 46021, València, Spain.
4Medical Imaging Department and Biomedical Imaging Research Group, Hospital Universitario y Politécnico La Fe and Health Research Institute, Avenida Fernando Abril Martorell, 106, València, 46026, València, Spain.
Abstract
BACKGROUND AND OBJECTIVE: The CHAIMELEON Repository is a secure and interoperable platform designed to accelerate the adoption of Artificial Intelligence (AI) in cancer imaging research by enabling the sharing and harmonisation of large-scale medical, clinical, and molecular datasets across Europe. The objective is to evaluate how effectively the repository supports the development of predictive A…
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