Recommeding Safe Actions by Learning from Sub-optimal Demonstrations. - Lars Boecking; Patrick Philipp (HealthRecSys@RecSys, 2020)

Technically Representing Clinical Knowledge for Rehabilitation Care. - Kai Gand; Lars Böcking; Karl Kreiner; Hannes Schlieter; Martin Burwitz; Carola Gißke; Patrick Philipp; Johannes Kropf (MIE, 2021)

Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations. - Leopold Müller; Lars Böcking; Michael Färber 001 (SafeAI@AAAI, 2022)

SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery. - João Cartucho; Alistair Weld; Samyakh Tukra; Haozheng Xu; Hiroki Matsuzaki; Taiyo Ishikawa; Minjun Kwon; Yongeun Jang; Kwang-Ju Kim; Gwang Lee; Bizhe Bai; Lueder A. Kahrs; et al. (CoRR, 2023)

Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets. - Lars Böcking; Leopold Müller; Niklas Kühl 001 (CoRR, 2024)

SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery. - João Cartucho; Alistair Weld; Samyakh Tukra; Haozheng Xu; Hiroki Matsuzaki; Taiyo Ishikawa; Minjun Kwon; Yongeun Jang; Kwang-Ju Kim; Gwang Lee; Bizhe Bai; Lueder A. Kahrs; et al. (Medical Image Anal., 2024)

Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements. - Leopold Müller; Nina Schwarz; Lars Böcking; Andreas Bereczuk; Hanno Stagge; Wolfgang Kratsch; Niklas Kühl 001 (IEEE Access, 2025)

Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation. - Paul Zaha; Lars Böcking; Simeon Allmendinger; Leopold Müller; Niklas Kühl 001 (CoRR, 2025)