Neurosurgical Vision Lab

Jakob Dremel & Dr. Sven Richter
Our research focuses on developing advanced methods for intraoperative visualization and classification of brain tissue to support safer, more precise surgeries.
The Medical Challenge
Our Approach
We aim to solve this challenge by combining novel imaging modalities—such as autofluorescence imaging and raman scattering—with real-time machine learning algorithms. Our interdisciplinary work spans from fundamental research in image processing and AI to translational studies in clinical settings, ensuring that our innovations are both scientifically robust and practically applicable.
Publications
Wang, T., Dremel, J., Richter, S., Polanski, W., Uckermann, O., Eyüpoglu, I., … & Czarske, J. W. (2025, March). End-to-end brain cancer diagnosis using high-resolution fiber endoscopy with a learning-based digital twin. In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXIII (Vol. 13306, pp. 99-103). SPIE.
Wang, T., Dremel, J., Richter, S., Polanski, W., Uckermann, O., Eyüpoglu, I., … & Kuschmierz, R. (2024). Resolution-enhanced multi-core fiber imaging learned on a digital twin for cancer diagnosis. Neurophotonics, 11(S1), S11505-S11505.
https://www.light-am.com/article/pdf/preview/LAM2024070083.pdf