Research Foci
- Computer Vision / Deep Learning for (3D) Medical Images
- Eye-Tracking for Computer Vision / Deep Learning Methods
Academic Education
- PhD in Computer Science, University of Münster
- Master of Science Computer Science, University of Münster
- Bachelor of Science Computer Science, University of Münster
Publications
- Kockwelp, Jacqueline, Beckmann, Daniel, and Risse, Benjamin. . “Human Gaze Improves Vision Transformers by Token Masking.” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops
- Beckmann, Daniel, Kockwelp, Jacqueline, Gromoll, Joerg, Kiefer, Friedemann, and Risse, Benjamin. . “SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation.” Proceedings of Machine Learning Research, № 2023
- Bauer, N, Beckmann, D, Reinhardt, D, et al. . “Therapy-induced modulation of tumor vasculature and oxygenation in a murine glioblastoma model quantified by deep learning-based feature extraction.” Scientific Reports, № 14 (1): 2034–2034. doi: 10.1038/s41598-024-52268-0.
- Bobe, S, Beckmann, D, Klump, DM, et al. . “Volumetric imaging reveals VEGF-C-dependent formation of hepatic lymph vessels in mice.” Frontiers in cell and developmental biology, № 10: 949896–949896. doi: 10.3389/fcell.2022.949896.
