Dominik Fromme, M.Eng.

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.

D. Fromme, M. Kaupenjohann, and J. Thiem, “Impact of Trivial Solutions on Classification Tasks Using CNNs,” in 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2023, pp. 395–399.

M. Hofmann, D. Fromme, J. Thiem, and P. Tadayon, “Intuitive Control of a Robotic Arm via Inertial Sensor Fusion and EMG for Assistive Applications,” Current Directions in Biomedical Engineering, vol. 1, pp. 497–500, 2025.

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.

D. Fromme, M. Kaupenjohann, T. Streckert, and J. Thiem, Dual-UNet++ Framework for Robust Single-Frame Echocardiographic Dehazing. 2025.