DataSHIELD - New Directions and Dimensions. - Rebecca C. Wilson; Oliver W. Butters; Demetris Avraam; James Baker; Jonathan Tedds; Andrew Turner; Madeleine J. Murtagh; Paul R. Burton (Data Sci. J., 2017)

The Network Limits of Infectious Disease Control via Occupation-Based Targeting. - Demetris Avraam; Nick Obradovich; Niccoló Pescetelli; Manuel Cebrián; Alex Rutherford (CoRR, 2021)

Privacy preserving data visualizations. - Demetris Avraam; Rebecca C. Wilson; Oliver W. Butters; Thomas Burton; Christos Nicolaides; Elinor Jones; Andy Boyd; Paul R. Burton (EPJ Data Sci., 2021)

Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD. - Yannick Marcon; Tom Bishop; Demetris Avraam; Xavier Escriba-Montagut; Patricia Ryser-Welch; Stuart Wheater; Paul R. Burton; Juan R. González (PLoS Comput. Biol., 2021)

A deterministic approach for protecting privacy in sensitive personal data. - Demetris Avraam; Elinor Jones; Paul R. Burton (BMC Medical Informatics Decis. Mak., 2022)

Leadership and Intention to Leave Among Public Health Sector Physicians in Cyprus: A National Cross-Sectional Study. - Ioanna Gregoriou; Eleftheria Ch. Economidou; Demetris Avraam; Elpidoforos S. Soteriades; Evridiki Papastavrou; Andreas Charalambous; Antonis Stylianides; Anastasios Merkouris (ICIMTH, 2023)

Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform. - Xavier Escriba-Montagut; Yannick Marcon; Augusto Anguita-Ruiz; Demetris Avraam; Jose Urquiza; Andrei S. Morgan; Rebecca C. Wilson; Paul R. Burton; Juan R. González (PLoS Comput. Biol., 2024)