Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study. - Friso G. Heslinga; Josien P. W. Pluim; A. J. H. M. Houben; Miranda T. Schram; Ronald M. A. Henry; Coen D. A. Stehouwer; Marleen J. van Greevenbroek; Tos T. J. M. Berendschot; Mitko Veta (Computer-Aided Diagnosis, 2020)

Quality control strategies for brain MRI segmentation and parcellation: Practical approaches and recommendations - insights from the Maastricht study. - Jennifer Monereo-Sánchez; Joost J. A. de Jong; Gerhard S. Drenthen; Magdalena Beran; Walter H. Backes; Coen D. A. Stehouwer; Miranda T. Schram; David E. J. Linden; Jacobus F. A. Jansen (NeuroImage, 2021)

Studying the association of diabetes and healthcare cost on distributed data from the Maastricht Study and Statistics Netherlands using a privacy-preserving federated learning infrastructure. - Chang Sun 001; Johan van Soest; Annemarie Koster; Simone J. P. M. Eussen; Miranda T. Schram; Coen D. A. Stehouwer; Pieter C. Dagnelie; Michel Dumontier (J. Biomed. Informatics, 2022)

MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning. - Pedro Mateus; Swier Garst; Jing Yu; Davy Cats; Alexander G. J. Harms; Mahlet A. Birhanu; Marian Beekman; P. Eline Slagboom; Marcel J. T. Reinders; Jeroen van der Grond; Andre Dekker; Jacobus F. A. Jansen; et al. (CoRR, 2024)

Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. - Pedro Mateus; Justine E. F. Moonen; Magdalena Beran; Eva Jaarsma; Sophie M. van der Landen; Joost Heuvelink; Mahlet A. Birhanu; Alexander G. J. Harms; Esther Bron; Frank J. Wolters; Davy Cats; Hailiang Mei; et al. (J. Biomed. Informatics, 2024)