Insufficient Behavioral Change Skill Hampers Adoption of Ehealth Services. - Miriam M. R. Vollenbroek-Hutten; Tess Goolkate; Michele Lankheet; J. H. (Han) Hegeman; Gozewijn Dirk Laverman; Bert-Jan van Beijnum (ICT4AWE, 2018)

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)

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)

Feasibility and Usability of Wearable Devices for Ambulatory Monitoring of the Rehabilitation Process of Older Patients after Hip Fracture Surgery. - Dieuwke van Dartel; Johannes H. Hegeman; Miriam M. R. Vollenbroek-Hutten (WINSYS, 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)

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)