Research Foci
- Generative Deep Learning Methods
- Machine Learning for Image Processing
- Virtual Reality
Academic Education
- Ph. D. studies, Computer Vision and Machine Learning Systems (Prof. Benjamin Risse)
- Master of Science (Computer Science), University of Münster
- Bachelor of Science (Computer Science), University of Münster
Publications
- Pielage, L., Hätscher, O., Back, M., Marschall, B., & Risse, B. (). Dynamic Personality Adaptation in Large Language Models via State Machines. arXiv. (v1) doi: 10.48550/arXiv.2602.22157.
- Pielage, L., Schmidle, P., Marschall, B., & Risse, B. (). Interactive High-Quality Skin Lesion Generation using Diffusion Models for VR-based Dermatological Education. in Association for Computing Machinery (ed.), IUI '25: Proceedings of the 30th International Conference on Intelligent User Interfaces (pp. 878–897). ACM Press. doi: 10.1145/3708359.3712101.
- Junga, A., Bozdere, P., Hätscher, O., Scherzer, S., Schmidle, P., Schulze, H., Pielage, L., Kockwelp, P., Meyerheim, M., Mergen, M., Risse, B., Marschall, B., Glückselig, T., & Ungru, K. (). Rethinking interaction design: Special implications for interaction concepts in medical education using virtual reality. Virtual Reality, 29 (98). doi: 10.1007/s10055-025-01180-7.
- Junga, A., Schmidle, P., Pielage, L., Schulze, H., Haetscher, O., Staender, S., Marschall, B., & Braun, S. A. (). New horizons in dermatological education: Skin cancer screening with virtual reality. Journal of the European Academy of Dermatology and Venereology, 38 (12), 2259–2267. doi: 10.1111/jdv.19960.
- Pielage, L., Schmidle, P., Marschall, B., & Risse, B. (). Diffusion Models in Dermatological Education: Flexible High Quality Image Generation for VR-based Clinical Simulations. NeurIPS'23 Workshop: Generative AI for Education (GAIED), New Orleans, Louisiana.