M. Hofmann, D. Fromme, T. Streckert, and J. Thiem, “Synthetic Image Generation of Aortic Valves Using Conditional DDPM,” in Proceedings of the 11th International Conference on Bioinformatics Research and Applications, 2025, pp. 9–16.
D. Fromme, T. Streckert, D. Warnakulasuriya, D. Schuldt, M. Bogatzki, F. J. C. Gomez, and J. Thiem, “Lightweight Deep Learning-Based Aortic Valve Segmentation on RGB Images,” in 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2025, p. 11253048.
T. Streckert, D. Fromme, M. Kaupenjohann, and J. Thiem, “Using Synthetic Data to Increase the Generalization of a CNN for Surgical Instrument Segmentation,” in 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2023, pp. 336–340.
M. Stampa, U. Jahn, D. Fruhner, T. Streckert, and C. Röhrig, “Scenario and system concept for a firefighting UAV-UGV team,” in Proceedings of the 2022 Sixth IEEE International Conference on Robotic Computing (IRC), 2022, pp. 253–256.
T. Streckert, D. Fromme, J. Steinbrener, and J. Thiem, “Distance Measurement in Minimally Invasive Surgery Based on Instrument Segmentation,” Current Directions in Biomedical Engineering, no. 1, pp. 342–345, 2025.
This site uses cookies to ensure the functionality of the website and to collect statistical data. You can object to the statistical collection via the data protection settings (opt-out).
