University of Münster
CRIS@UM
DE | EN

Daniel Beckmann

Current affiliations

  • Professorship of Geoinformatics for Sustainable Development (Prof. Risse)
Logo ORCIDID
0000-0002-1233-7730

Curriculum Vitae (CV)

  • Computer Vision / Deep Learning for (3D) Medical Images
  • Eye-Tracking for Computer Vision / Deep Learning Methods

Academic Education

10/2021 - 12/2024PhD in Computer Science, University of Münster
10/2018 - 02/2021Master of Science Computer Science, University of Münster
10/2014 - 09/2018Bachelor of Science Computer Science, University of Münster

Publications

SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation
Beckmann, Daniel; Kockwelp, Jacqueline; Gromoll, Joerg; Kiefer, Friedemann;Risse, Benjamin (2024)
In: Proceedings of Machine Learning Research, 2023
Type of Publication: Research article (journal)
Therapy-induced modulation of tumor vasculature and oxygenation in a murine glioblastoma model quantified by deep learning-based feature extraction
Bauer N; Beckmann D; Reinhardt D; Frost N; Bobe S; Erapaneedi R; Risse B; Kiefer F (2024)
In: Scientific Reports, 14(1)
Type of Publication: Research article (journal)
Volumetric imaging reveals VEGF-C-dependent formation of hepatic lymph vessels in mice.
Bobe S, Beckmann D, Klump DM, Dierkes C, Kirschnick N, Redder E, Bauer N, Schäfers M, Erapaneedi R, Risse B, van de Pavert SA, Kiefer F (2022)
In: Frontiers in cell and developmental biology, 10
Type of Publication: Research article (journal)