- Chen S, and Vossen P. A cheap lunch: synthetic annotation with reduced human effort for
medical text mining. Proceedings of the Fifteenth Language Resources and Evaluation Conference,
2026.
- Verkijk S, and Vossen P. Creating, anonymizing and evaluating the first medical language
model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl. Artificial Intelligence in
Medicine, 167, September 2025.
- van der Veen S, van der Leeden M, Geleijn E, Vossen P, Meskers CGM, Widdershoven GAM.
Artificial intelligence to improve rehabilitation care for children with developmental
conditions: Some ethical considerations. Dev Med Child Neurol. 2023 Jan;65(1):12-13. doi: 10.1111/dmcn.15348. PMID: 35856286
- Jenia Kim, Stella Verkijk, Edwin Geleijn, Marike van der Leeden, Carel Meskers, Caroline
Meskers, Sabina van der Veen, Piek T.J.M. Vossen, and Guy Widdershoven. Modeling Dutch Medical
Texts for Detecting Functional Categories and Levels of COVID-19 Patients. Proceedings of the
Language Resources and Evaluation Conference (LREC), 2022, Marseille.
- Meskers CGM, van der Veen S, Kim J, Meskers CJW, Smit QTS, Verkijk S, Geleijn E,
Widdershoven GAM, Vossen PTJM, van der Leeden M. Automated recognition of functioning, activity
and participation in COVID-19 from electronic patient records by natural language processing: a
proof- of- concept. Ann Med. 2022 Dec;54(1):235-243. doi: 10.1080/07853890.2021.2025418. PMID: 35040376; PMCID: PMC8774059.
- Stella Verkijk and Piek T.J.M. Vossen. Efficiently and Thoroughly Anonymizing Transformer
Language Model for Dutch Electronic Health Records: A Two-Step Method. Proceedings of the 13th
Language Resources and Evaluation Conference, Marseille, June, 2022.
- Verkijk S, and Vossen PJTM, “MedRoBERTa.nl: A Language Model for Dutch Electronic Health
Records,” Computational Linguistics in the Netherlands Journal, 11, 141–159, 2021.