De-Identification of German Medical Admission Notes. - Phillip Richter-Pechanski; Stefan Riezler; Christoph Dieterich (GMDS, 2018)

Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports. - Phillip Richter-Pechanski; Ali Amr; Hugo A. Katus; Christoph Dieterich (GMDS, 2019)

Preliminary Analysis of Structured Reporting in the HiGHmed Use Case Cardiology: Challenges and Measures. - Aljoscha Kindermann; Erik Tute; Sebastian Benda; Martin Löpprich; Phillip Richter-Pechanski; Christoph Dieterich (GMDS, 2020)

Few-Shot and Prompt Training for Text Classification in German Doctor's Letters. - Phillip Richter-Pechanski; Philipp Wiesenbach; Dominic M. Schwab; Christina Kiriakou; Mingyang He; Nicolas A. Geis; Anette Frank; Christoph Dieterich (MIE, 2023)

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting. - Phillip Richter-Pechanski; Philipp Wiesenbach; Dominic M. Schwab; Christina Kiriakou; Nicolas Geis; Christoph Dieterich; Anette Frank (CoRR, 2024)

Extending CARDIO:DE: Additional annotation guidelines and evaluation of NLP approaches for clinical applications. - Matthias Becker; Mario Krumscheid; Alisa Knobelspies; Markus Seydel; Phillip Richter-Pechanski; Alexander Karl (Int. J. Medical Informatics, 2025)