Dr. Florian Eilers

Research Associate
© Florian Eilers

Tel. +49 251 83 - 32751
florian.eilers(AT)uni-muenster.de

University of Münster
Department of Computer Science
Einsteinstrasse 62
D-48149 Münster

Office 602b
Consultation hour: by appointment

 

  • Research Areas

    • Medical image processing
    • Complex-valued image processing
    • Complex-valued neural networks
  • CV

    Education

    • 2018-2020: Master of Science, Mathematics for Medicine and Life Sciences, University of Lübeck
    • 2019: Semester abroad: University of Helsinki
    • 2015-2018: Bachelor of Science, Mathematics, University of Münster

    Positions

    • since 2020: Research Assistant at the Institute for Computer Science, University of Münster
    • since 2022: Guest researcher at Department of Nuclear Medicine, University Hospital Münster
 
Teaching
  • Lecture: Computer Vision [102114]
    (in cooperation with Xiaoyi Jiang, Malte Nick and Christof Duhme)
  • Practical tutorial: Begleitendes Praktikum zu Computer Vision [102115]
    (in cooperation with Xiaoyi Jiang, Malte Nick and Christof Duhme)
  • Lecture: Datenbanken [100114]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • V/Ü: Mustererkennung [100116]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Practice: Übung zur Vorlesung Datenbanken [100115]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Lecture: Computer Vision [108114]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Project seminar: Projektseminar: Clinically Relevant Text Generation from Medical Images [108120]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Practical tutorial: Begleitendes Praktikum zu Computer Vision [108115]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • V/Ü: Compilerbau [106112]
    (in cooperation with Christof Duhme and Dietmar Lammers)
  • Lecture: Computer Vision [104562]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Project seminar: Projektseminar: Generative Image Models: The Evolution to Diffusion Models [104580]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Practical tutorial: Begleitendes Praktikum zu Computer Vision [104563]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • V/Ü: Mustererkennung [102086]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Practical tutorial: Praktikum zur Vorlesung Mustererkennung [102087]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Project seminar: Adversarial Attacks in Medical Imaging: A Team Competition for Robustness in Neural Networks and Attack Algorithms [100120]
    (in cooperation with Xiaoyi Jiang and Christof Duhme)
  • Practical tutorial: Praktikum zur Vorlesung Mustererkennung [108114]
    (in cooperation with Xiaoyi Jiang, Andreas Nienkötter and Christof Duhme)
  • Project seminar: Projektseminar: Machine Learning for Medical Imaging: Taking SIRT to the Next Level [106065]
    (in cooperation with Christof Duhme and Xiaoyi Jiang)
Publications

  • , , and . . “Exploring Sparsity and Smoothness of Arbitrary lp-Norms in Adversarial Attacks.” Preprint. arXiv doi: 10.48550/arXiv.2602.06578.
  • , , and . . “Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks.” Preprint. arXiv doi: 10.48550/arXiv.2602.06577.

  • , , and . . “CVKAN: Complex-valued Kolmogorov-Arnold Networks.” in Proc. of IJCNN, edited by IEEE. Rome, Italy: Wiley-IEEE Computer Society Press. doi: 10.1109/IJCNN64981.2025.11227425.
  • , and . . “Initializing complex-valued neural networks from their pretrained real-valued counterparts.” in Proc. of IJCNN, edited by N/A. Rome: Wiley-IEEE Computer Society Press.

  • , and . . “Building blocks for a complex-valued transformer architecture.” in Proc. of ICASSP, edited by N/A. N/A: Wiley-IEEE Press.

  • , , and . . “Hierarchical random walker segmentation for large volumetric biomedical images.IEEE Transactions on Image Processing 31: 44314446. 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.