Assessment of Decision Models for Hybrid Approaches. - Nicole Hechtel; Antje Wulff; Michael Marschollek (EFMI-STC, 2018)

Clinical Knowledge Governance Framework for Nationwide Data Infrastructure Projects. - Antje Wulff; Birger Haarbrandt; Michael Marschollek (eHealth, 2018)

Learning Healthcare Systems in Pediatrics: Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments (CADDIE). - Antje Wulff; Michael Marschollek (ICIMTH, 2018)

An interoperable clinical decision-support system for early detection of SIRS in pediatric intensive care using openEHR. - Antje Wulff; Birger Haarbrandt; Erik Tute; Michael Marschollek; Philipp Beerbaum; Thomas Jack (Artif. Intell. Medicine, 2018)

Early Detection of Infection Chains & Outbreaks: Use Case Infection Control. - A. Sargeant; Tatiana von Landesberger; Claas Baier; F. Bange; Alexander Dalpke; Tim Eckmanns; Stephan Glöckner; Martin Kaase; Gérard Krause; Michael Marschollek; Brandon M. Malone; Mathias Niepert; et al. (EFMI-STC, 2019)

Clinical Information Model Based Data Quality Checks: Theory and Example. - Erik Tute; Antje Wulff; Michael Marschollek; Matthias Gietzelt (EFMI-STC, 2019)

A Report on Archetype Modelling in a Nationwide Data Infrastructure Project. - Antje Wulff; Kim Katrin Sommer; Sarah Ballout; Birger Haarbrandt; Matthias Gietzelt (EFMI-STC, 2019)

FAIRness of openEHR Archetypes and Templates. - Caroline Bönisch; Anneka Sargeant; Antje Wulff; Marcel Parciak; Christian R. Bauer; Ulrich Sax (SWAT4HCLS, 2019)

Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data. - Marcel Mast; Michael Marschollek; Louisa Bode; Antje Wulff; Sven Schamer; Henning Rathert; Thomas Jack; Philipp Beerbaum; Nicole Rübsamen; Julia Böhnke; André Karch; Pronaya Prosun; et al. (ICIMTH, 2021)

Tracing COVID-19 Infection Chains Within Healthcare Institutions - Another Brick in the Wall Against SARS-CoV-2. - Antje Wulff; Pascal Biermann; Tatiana von Landesberger; Tom Baumgartl; Christoph Schmidt; Alan Yussef Alhaji; Kristina Schick; Paul Waldstein; Yufei Zhu; Dagmar Krefting; Simone Scheithauer; Michael Marschollek (MedInfo, 2021)

A data driven learning approach for the assessment of data quality. - Erik Tute; Nagarajan Ganapathy; Antje Wulff (BMC Medical Informatics Decis. Mak., 2021)

Clinical evaluation of an interoperable clinical decision-support system for the detection of systemic inflammatory response syndrome in critically ill children. - Antje Wulff; Sara Montag; Nicole Rübsamen; Friederike Dziuba; Michael Marschollek; Philipp Beerbaum; André Karch; Thomas Jack (BMC Medical Informatics Decis. Mak., 2021)

Towards an Evolutionary Open Pediatric Intensive Care Dataset in the ELISE Project. - Antje Wulff; Marcel Mast; Louisa Bode; Henning Rathert; Thomas Jack (ICIMTH, 2022)

Interactive Visualization of Machine Learning Model Results Predicting Infection Risk. - Steffen Schäfer; Tom Baumgartl; Antje Wulff; Arjan Kuijper; Michael Marschollek; Simone Scheithauer; Tatiana von Landesberger (EuroVis (Posters), 2022)

Tracing the Progression of Sepsis in Critically Ill Children: Clinical Decision Support for Detection of Hematologic Dysfunction. - Louisa Bode; Sven Schamer; Julia Böhnke; Oliver Johannes Bott; Michael Marschollek; Thomas Jack; Antje Wulff (Appl. Clin. Inform., 2022)

Fallzahlen, Re-Identifikation und der technische Datenschutz. - Kay Hamacher; Tobias Kussel; Tatiana von Landesberger; Tom Baumgartl; Markus Höhn; Simone Scheithauer; Michael Marschollek; Antje Wulff (Datenschutz und Datensicherheit, 2022)

Improving Emergency Service Quality and Patient Safety Through the Use of Cross-Sectoral Digital Feedback Systems - An Overview. - Andreas Klausen; Kristin Stanke; Antje Wulff (dHealth, 2023)

Achieving Interoperable Datasets in Pediatrics: A Data Integration Approach. - Louisa Bode; Marcel Mast; Henning Rathert; Elise Study Group; Thomas Jack; Antje Wulff (ICIMTH, 2023)

Algorithmic Fairness in Healthcare Data with Weighted Loss and Adversarial Learning. - Pronaya Prosun Das; Marcel Mast; Lena Wiese; Thomas Jack; Antje Wulff (IntelliSys (3), 2023)

Herding Cats in Pandemic Times - Towards Technological and Organizational Convergence of Heterogeneous Solutions for Investigating and Mastering the Pandemic in University Medical Centers. - Dagmar Krefting; Nico T. Mutters; Rüdiger Pryss; Martin Sedlmayr; Martin Boeker; Christoph Dieterich; Carolin Koll; Martina Mueller; Anna Slagman; Dagmar Waltemath; Antje Wulff; Sven Zenker (MedInfo, 2023)

Challenges in Daily Computerized Assessment of Cognitive Functions of Post-COVID Patients. - Mandy Roheger; Antje Wulff (MIE, 2024)

A Vision on User-Centered Implementation and Evaluation of Explainable AI for Predicting Hospital-Onset Bacteremia. - Antje Wulff (MIE, 2024)

Preparedness for Visualization in the Next Pandemic. - Fintan McGee; Muna Abu Sin; Min Chen 001; David S. Ebert; Kazuo Misue; Panagiotis D. Ritsos; Antje Wulff (IEEE Computer Graphics and Applications, 2025)

An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts. - Pascal Biermann; Claas Baier; Ann Christin Vietor; Benedikt Zacher; Tom Baumgartl; Tatiana von Landesberger; Michael Behnke; Michael Storck; Markus Petzold; Martin Kaase; Sarah Ballout; Tim Eckmanns; et al. (npj Digit. Medicine, 2025)

An attention-based bidirectional LSTM-CNN architecture for the early prediction of sepsis. - Pronaya Prosun Das; Lena Wiese; Marcel Mast; Julia Böhnke; Antje Wulff; Michael Marschollek; Louisa Bode; Henning Rathert; Thomas Jack; Sven Schamer; Philipp Beerbaum; Nicole Rübsamen; et al. (Int. J. Data Sci. Anal., 2025)