Prof. Dr.-Ing. Marc Aubreville
Professor am Fachbereich Information und Kommunikation
FLAIR - Flensburg Artificial Intelligence Research Visual Computing
Telefon 0461 805 1759
Raum D 318
Professor für
Angewandte Informatik, insb. Visual Computing
Organisation
Zuständigkeiten
- FLAIR - Flensburg Artificial Intelligence Research Visual Computing
- Optical Biopsy of Sinonasal Tumors using Confocal Laser Endomicroscopy: A Clinical and Deep Learning-based Assessment and Visualization
- Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence
Neuste Publikationen
2025
- Rosbach, E. ., Ammeling, J. ., Krügel, S. ., Kießig, A. ., Fritz, A. ., Ganz, J. ., … Aubreville, M. . (2025). "When Two Wrongs Don t Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (S. 1–18). Yokohama Japan: ACM. http://doi.org/10.1145/3706598.3713319 (Original work published 2025)
- Rosbach, E. ., Ganz, J. ., Ammeling, J. ., Riener, A. ., & Aubreville, M. . (2025). Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology. Bildverarbeitung für die Medizin 2025. Wiesbaden: Springer Fachmedien Wiesbaden. (Original work published 2025)
- Ganz, J. ", Ammeling, J. ., Rosbach, E. ., Lausser, L. ., Bertram, C. A., Breininger, K. ., & Aubreville, M. . (2025). Is Self-supervision Enough?. In "Bildverarbeitung für die Medizin 2025" (S. 63–68). "Wiesbaden": "Springer Fachmedien Wiesbaden".