Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions. - Eike Petersen; Yannik Potdevin; Esfandiar Mohammadi; Stephan Zidowitz; Sabrina Breyer; Dirk Nowotka; Sandra Henn; Ludwig Pechmann; Martin Leucker; Philipp Rostalski; Christian Herzog 002 (CoRR, 2021)

Regulatorische Anforderungen an Lösungen der künstlichen Intelligenz im Gesundheitswesen. - Ludwig Pechmann; Martin Mildner; Tim Suthau; Martin Leucker (Künstliche Intelligenz im Gesundheitswesen, 2022)

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions. - Eike Petersen; Yannik Potdevin; Esfandiar Mohammadi; Stephan Zidowitz; Sabrina Breyer; Dirk Nowotka; Sandra Henn; Ludwig Pechmann; Martin Leucker; Philipp Rostalski; Christian Herzog 002 (IEEE Access, 2022)

Challenges for AI in Healthcare Systems. - Markus Bertl; Yngve Lamo; Martin Leucker; Tiziana Margaria; Esfandiar Mohammadi; Suresh Kumar Mukhiya; Ludwig Pechmann; Gunnar Piho; Fazle Rabbi 001 (AISoLA (Selected Papers), 2023)

Future Opportunities for Systematic AI Support in Healthcare. - Markus Bertl; Gunnar Piho; Dirk Draheim; Peeter Ross; Ludwig Pechmann; Nicholas Bucciarelli; Rahul Sharma 011 (AISoLA (Selected Papers), 2023)

CRISP-PCCP - A Development Methodology Supporting FDA Approval for Machine Learning Enabled Medical Devices. - Ludwig Pechmann; Yannik Potdevin; Kai Brehmer; Dirk Nowotka; Martin Leucker (AISoLA (Selected Papers), 2023)

A Case Study on Data Protection for a Cloud- and AI-Based Homecare Medical Device. - Philipp Bende; Olga Vovk; David Caraveo; Ludwig Pechmann; Martin Leucker (Trans. Petri Nets Other Model. Concurr., 2023)