Modeling Dutch Medical Texts for Detecting Functional Categories and Levels of COVID-19 Patients. - Jenia Kim; Stella Verkijk; Edwin Geleijn; Marieke van der Leeden; Carel Meskers; Caroline Meskers; Sabina van der Veen; Piek Vossen; Guy Widdershoven (LREC, 2022)

Efficiently and Thoroughly Anonymizing a Transformer Language Model for Dutch Electronic Health Records: a Two-Step Method. - Stella Verkijk; Piek Vossen (LREC, 2022)

Sunken Ships Shan't Sail: Ontology Design for Reconstructing Events in the Dutch East India Company Archives. - Stella Verkijk; Piek Vossen (CHR, 2023)

Do you catch my drift? On the usage of embedding methods to measure concept shift in knowledge graphs. - Stella Verkijk; Ritten Roothaert; Romana Pernisch; Stefan Schlobach (K-CAP, 2023)

Language Models Lack Temporal Generalization and Bigger is Not Better. - Stella Verkijk; Piek Vossen; Pia Sommerauer (ACL (Findings), 2025)

Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl. - Stella Verkijk; Piek Vossen (Artif. Intell. Medicine, 2025)