Dominik Drees

Research Associate
© Uni MS

dominik.drees(AT)uni-muenster.de

 
Research Foci
  • Volume and image processing
  • Ressource constrained (esp. out-of-core) computing
  • Nanophotonic neural networks
CV

Academic Education

Ph. D. studies, Pattern Recognition and Image Analysis group (Prof. Xiaoyi Jiang)
Master of Science (Computer Science), University of Münster

Prizes

Förderpreis der Angewandten Informatik (1st prize) – IHK Nord Westfalen
SciVis Contest Award – IEEE VIS: Visualization & Visual Analytics

External Function

University of Münster (Voreen-Project, Core Team Member)
Teaching

  • Practical: Geosoftware I [140957]
    (in cooperation with Benjamin Risse)

  • Practical: Geosoftware I [146957]
    (in cooperation with Benjamin Risse)

  • Practical: Geosoftware I [142960]
    (in cooperation with Benjamin Risse)

  • Lecture: Datenbanken [108085]
    (in cooperation with Ludger Becker)
  • Practice: Übung zur Vorlesung Datenbanken [108086]
    (in cooperation with Ludger Becker)

  • V/Ü: Fortgeschrittene Datenbankkonzepte [106028]
    (in cooperation with Ludger Becker)

  • Lecture: Datenbanken [104031]
    (in cooperation with Ludger Becker)
  • Practice: Übung zur Vorlesung Datenbanken [104032]
    (in cooperation with Ludger Becker)

  • V/Ü: Fortgeschrittene Datenbankkonzepte [102120]
    (in cooperation with Ludger Becker)

  • Lecture: Datenbanken [100034]
    (in cooperation with Ludger Becker)
  • Practice: Übung zur Vorlesung Datenbanken [100037]
    (in cooperation with Ludger Becker)

  • Short practical outside term-time: Softwarepraktikum [108029]
    (in cooperation with Ludger Becker)

  • Lecture: Datenbanken [106028]
    (in cooperation with Ludger Becker)
  • Project seminar: Projektseminar: Barista [106120]
    (in cooperation with Sören Klemm, Aaron Scherzinger, Xiaoyi Jiang and Benjamin Risse)
  • Practice: Übung zur Vorlesung Datenbanken [106029]
    (in cooperation with Ludger Becker)

  • V/Ü: Fortgeschrittene Datenbankkonzepte [104032]
    (in cooperation with Ludger Becker)
  • Project seminar: Projektseminar: Barista [104120]
    (in cooperation with Sören Klemm, Aaron Scherzinger, Xiaoyi Jiang and Benjamin Risse)

  • Lecture: Datenbanken [102032]
    (in cooperation with Ludger Becker)
  • Project seminar: Projektseminar: Barista for Deep Learning-based Bug Tracking [102116]
    (in cooperation with Sören Klemm, Aaron Scherzinger, Xiaoyi Jiang and Benjamin Risse)
  • Practice: Übung zur Vorlesung Datenbanken [102033]
    (in cooperation with Ludger Becker)

  • Project seminar: Projektseminar: Barista - A Rapid Prototyping Tool for Neural Networks [100121]
    (in cooperation with Sören Klemm, Aaron Scherzinger and Xiaoyi Jiang)
  • Short practical outside term-time: Softwarepraktikum [100030]
    (in cooperation with Ludger Becker)

  • Lecture: Datenbanken [108385]
    (in cooperation with Ludger Becker)
  • Practice: Übung zur Vorlesung Datenbanken [108384]
    (in cooperation with Ludger Becker)
Publications

  • , , , , , and . . “Activation Functions in Non-Negative Neural Networks.” IEEE Access doi: 10.1109/ACCESS.2025.3622408.
  • , , , and . . “S-ROPE: Spectral Frame Representation of Periodic Events.” in Computer Vision – ECCV 2024 Workshops, Vol. 15646 of Lecture Notes in Computer Science, edited by Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset and Tatiana Tommasi. Cham: Springer Nature. doi: 10.1007/978-3-031-92460-6.

  • , , , , , and . . “Activation Functions in Non-Negative Neural Networks.” contributed to the Machine Learning and the Physical Sciences Workshop, NeurIPS, New Orleans.

  • , , and . . “Hierarchical random walker segmentation for large volumetric biomedical images.” IEEE Transactions on Image Processing 31: 4431–4446. doi: 10.1109/TIP.2022.3185551.
  • , , , and . . “A Bhattacharyya coefficient-based framework for noise model-aware random walker image segmentation.” in Proc. of GCPR, edited by B Andres, F Bernard, D Cremers, S Frintrop, B Goldlücke and I Ihrke. Cham, Switzerland: Springer Nature.
  • . . “Efficient Out-of-Core Methods for Biomedical Volume Processing and Analysis.” Dissertation thesis, University of Münster.

  • , , , , and . . “Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets.” BMC Bioinformatics 22 (1) 346. doi: 10.1186/s12859-021-04262-w.
  • , , , , , , , and . . “Rapid methods for the evaluation of fluorescent reporters in tissue clearing and the segmentation of large vascular structures.” iScience 24 (6) 102650. doi: 10.1016/j.isci.2021.102650.

  • , , and . . “GERoMe – a method for evaluating stability of graph extraction algorithms without ground truth.” IEEE Access 7: 21744–21755. doi: 10.1109/ACCESS.2019.2898754.

  • , , , and . . Barista - a graphical tool for designing and training deep neural networks arXiv e-print:1802.04626: CoRR.

  • , , , , , , , , , , , , , , , and . . “VIPAR, a quantitative approach to 3D-histopathology applied to lymphatic malformations.” JCI Insight 2 (16): e93424.
  • , , , , , , , and . “Interactive Exploration of Cosmological Dark-Matter Simulation Data.” IEEE Computer Graphics and Applications 37 (2): 80–89.
  • , , and . . “GERoMe - A novel graph extraction robustness measure.” contribution to the Proc. of Int. Workshop on Graph-Based Representations in Pattern Recognition (GbR), Anacapri, Italy

  • , , , , , , , and . “Visualize the Universe: Interactive Exploration of Cosmological Dark Matter Simulation Data.” contribution to the IEEE Visualization Conference 2015 October 25-30, Chicago, Il, USA Wiley-IEEE Press.