Exploiting Natural Language Processing for Improving Health Processes. - Maurice van Keulen; Jeroen Geerdink; Gerard Linssen; Riemer H. J. A. Slart; Onno Vijlbrief (SIMPDA, 2017)

Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance. - Shreyasi Pathak; Jorit van Rossen; Onno Vijlbrief; Jeroen Geerdink; Christin Seifert; Maurice van Keulen (ICDM Workshops, 2018)

Comparing Process Models for Patient Populations: Application in Breast Cancer Care. - Francesca Marazza; Faiza Allah Bukhsh; Onno Vijlbrief; Jeroen Geerdink; Shreyasi Pathak; Maurice van Keulen; Christin Seifert (Business Process Management Workshops, 2019)

A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. - Elisa Nguyen; Daphne Theodorakopoulos; Shreyasi Pathak; Jeroen Geerdink; Onno Vijlbrief; Maurice van Keulen; Christin Seifert (CogMI, 2020)

Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance. - Shreyasi Pathak; Jorit van Rossen; Onno Vijlbrief; Jeroen Geerdink; Christin Seifert; Maurice van Keulen (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Radiology report generation for proximal femur fractures using deep classification and language generation models. - Olivier Paalvast; Meike Nauta; Marion Koelle; Jeroen Geerdink; Onno Vijlbrief; Johannes H. Hegeman; Christin Seifert (Artif. Intell. Medicine, 2022)

Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings. - Shreyasi Pathak; Jörg Schlötterer; Jeroen Geerdink; Onno Dirk Vijlbrief; Maurice van Keulen; Christin Seifert (CoRR, 2023)