Automatic identification of variables in epidemiological datasets using logic regression. - Matthias W. Lorenz; Negin Ashtiani Abdi; Frank Scheckenbach; Anja Pflug; Alpaslan Bülbül; Alberico L. Catapano; Stefan Agewall; Marat Ezhov; Michiel L. Bots; Stefan Kiechl; Andreas Orth; Giuseppe D. Norata; et al. (BMC Medical Informatics Decis. Mak., 2017)

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)