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
Articles
- Kockwelp, Jacqueline, Beckmann, Daniel, and Risse, Benjamin. . “Human Gaze Improves Vision Transformers by Token Masking.” contribution to the Gaze Meets Computer Vision @ Winter Conference on Applications of Computer Vision (WACV) Workshops , Tucson, Arizona
- Wu, J, Beckmann, D, Miller, S, Altmayer, S, Chang, K, Dashevsky, B, Risse, B, Gruhl, D, and Davidzon, G. . “Gaze-assisted agent for safer integration of [18F] FDG-PET/CT AI lesion prediction into clinical workflow.” Journal of Nuclear Medicine 66 (supplement 1): 251398–251398.
- 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, Frost, N, Bobe, S, Erapaneedi, R, Risse, B, and Kiefer, F. . “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, Dierkes, C, Kirschnick, N, Redder, E, Bauer, N, Schäfers, M, Erapaneedi, R, Risse, B, van de, Pavert SA, and Kiefer, F. . “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.
