Federated Learning Showdown: The Comparative Analysis of Federated Learning Frameworks. - Sai Praneeth Karimireddy; Narasimha Raghavan Veeraragavan; Severin Elvatun; Jan F. Nygård (FMEC, 2023)

Towards more personalized cervical cancer prevention: Prototyping data-driven methods predicting cervical cancer development from cancer registry data. - Severin Elvatun (2023)

Ranking Synthetic Data Generators Using a Permissioned Blockchain-based Framework. - Narasimha Raghavan Veeraragavan; Mohammad Hossein Tabatabaei; Severin Elvatun; Vibeke Binz Vallevik; Siri Larønningen; Jan F. Nygård (BCCA, 2024)

Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators. - Narasimha Raghavan Veeraragavan; Mohammad Hossein Tabatabaei; Severin Elvatun; Vibeke Binz Vallevik; Siri Larønningen; Jan F. Nygård (CoRR, 2024)

Can I trust my fake data - A comprehensive quality assessment framework for synthetic tabular data in healthcare. - Vibeke Binz Vallevik; Aleksandar Babic; Serena Elizabeth Marshall; Severin Elvatun; Helga Brøgger; Sharmini Alagaratnam; Bjørn Edwin; Narasimha Raghavan Veeraragavan; Anne Kjersti Befring; Jan F. Nygård (Int. J. Medical Informatics, 2024)

Cross-population evaluation of cervical cancer risk prediction algorithms. - Severin Elvatun; Daan Knoors; Mari Nygård; Anneli Uusküla; Andres Võrk; Jan F. Nygård (Int. J. Medical Informatics, 2024)

Processing of synthetic data in AI development for healthcare and the definition of personal data in EU law. - Vibeke Binz Vallevik; Anne Kjersti Befring; Severin Elvatun; Jan Franz Nygaard (CoRR, 2025)