Analyzing Partitioned FAIR Health Data Responsibly. - Chang Sun 001; Lianne Ippel; Birgit Wouters; Johan van Soest; Alexander Malic; Onaopepo Adekunle; Bob van den Berg; Marco Puts; Ole Mussmann; Annemarie Koster; Carla van der Kallen; David Townend; et al. (CoRR, 2018)

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. - Chang Sun 001; Lianne Ippel; Johan van Soest; Birgit Wouters; Alexander Malic; Onaopepo Adekunle; Bob van den Berg; Ole Mussmann; Annemarie Koster; Carla van der Kallen; Claudia van Oppen; David Townend; et al. (MedInfo, 2019)

Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure. - Chang Sun 001; Vincent Emonet; Johan van Soest; Annemarie Koster; Andre Dekker; Michel Dumontier (SWAT4HCLS, 2019)

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)