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)

Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. - Frank Ruis; Shreyasi Pathak; Jeroen Geerdink; Johannes H. Hegeman; Christin Seifert; Maurice van Keulen (ICDM (Workshops), 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)

Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients. - Berk Yenidogan; Shreyasi Pathak; Jeroen Geerdink; Johannes H. Hegeman; Maurice van Keulen (ICDM (Workshops), 2021)

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)

Interpreting and Correcting Medical Image Classification with PIP-Net. - Meike Nauta; Johannes H. Hegeman; Jeroen Geerdink; Jörg Schlötterer; Maurice van Keulen; Christin Seifert (ECAI Workshops (1), 2023)

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)

Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case. - Jorn-Jan van de Beld; Shreyasi Pathak; Jeroen Geerdink; Johannes H. Hegeman; Christin Seifert (xAI (4), 2024)

Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. - Shreyasi Pathak; Jörg Schlötterer; Jeroen Veltman; Jeroen Geerdink; Maurice van Keulen; Christin Seifert (xAI (1), 2024)

The DRAGON benchmark for clinical NLP. - Joeran S. Bosma; Koen Dercksen; Luc Builtjes; Romain André; Christian Roest; Stefan J. Fransen; Constant R. Noordman; Mar Navarro-Padilla; Judith Lefkes; Natália Alves; Max J. J. de Grauw; Leander van Eekelen; et al. (npj Digit. Medicine, 2025)