Publikationen & Open Source

Eigene aktuelle Publikationen:

• Funke I., Rivoir D., Krell S., Speidel S. (2025). TUNeS: A Temporal U-Net With Self-Attention for 
  Video-Based Surgical Phase Recognition. IEEE Transactions on Biomedical Engineering, 72.
• Kolbinger, F. R., Bhasker, N., Schön, F., Cser, D., Zwanenburg, A., Löck, S., ... & Speidel, S. (2025). AutoFRS: an externally validated, annotation-free approach to computational preoperative complication risk stratification in pancreatic surgery–an experimental study. International Journal of Surgery, 111(5), 3212-3223.
• Venkatesh, D. K., Rivoir, D., Pfeiffer, M., & Speidel, S. (2025). Surgical-cd: Generating surgical images via unpaired image translation with latent consistency diffusion models. In European Conference on Computer Vision (pp. 218-235). Cham: Springer Nature Switzerland.
• Xu, J., Li, C., Liu, P., Pfeiffer, M., Liu, L., Docea, R., ... & Speidel, S. (2025). T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 595-605). Cham: Springer Nature Switzerland.
• Rivoir, D., Funke, I., & Speidel, S. (2024).  On the pitfalls of batch normalization for end-to-end video learning: A study on surgical workflow analysis. Medical Image Analysis, 103126.

Weitere Publikationen

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Open Science

Unsere Abteilung bekennt sich ausdrücklich zu den Prinzipien der Open Science.

Unser öffentlich verfügbarer Quellcode sowie unsere Datensätze sind über GitLab unter folgendem Link zu finden:

• >>>Open Source Beiträge