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)

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. - Simeon Allmendinger; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Leopold Müller; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (CoRR, 2023)

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. - Leopold Müller; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Simeon Allmendinger; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (AAAI, 2024)

Collafuse: Navigating Limited Resources and Privacy in Collaborative Generative AI. - Domenique Zipperling; Simeon Allmendinger; Lukas Struppek; Niklas Kühl 001 (ECIS, 2024)

Interactive Generation of Laparoscopic Videos with Diffusion Models. - Ivan Iliash; Simeon Allmendinger; Felix Meissen; Niklas Kühl 001; Daniel Rückert (DGM4MICCAI@MICCAI, 2024)

CollaFuse: Collaborative Diffusion Models. - Simeon Allmendinger; Domenique Zipperling; Lukas Struppek; 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)

Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction. - Sarah Ball; Simeon Allmendinger; Frauke Kreuter; Niklas Kühl 001 (CoRR, 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)