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Judith Nickel

Research Assistant WG Industrial Mathematics

Room: MZH 2285
Email: junickel@uni-bremen.de
Phone: (0421) 218-63827

Publications (Selection)complete list

  1. M. Beckmann, J. Nickel.
    Optimized filter functions for filtered back projection reconstructions.
    Inverse Problems and Imaging, , 2025.

    DOI: 10.3934/ipi.2025003

  2. C. Arndt, S. Dittmer, N. Heilenkötter, M. Iske, T. Kluth, J. Nickel.
    Bayesian view on the training of invertible residual networks for solving linear inverse problems.
    Inverse Problems, 40 045021 40(4), IOPscience, 2024.

    DOI: 10.1088/1361-6420/ad2aaa
    online at: https://www.x-mol.net/paper/article/1682514725633245184

  3. C. Arndt, J. Nickel.
    Invertible ResNets for inverse imaging problems: Competitive performance with provable regularization properties.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/2409.13482

  4. C. Arndt, A. Denker, S. Dittmer, N. Heilenkötter, M. Iske, T. Kluth, P. Maaß, J. Nickel.
    Invertible residual networks in the context of regularization theory for linear inverse problems.
    Inverse Problems, 39(12), IOPscience, 2023.

    DOI: 10.1088/1361-6420/ad0660
    online at: https://iopscience.iop.org/article/10.1088/1361-6420/ad0660

  5. C. Arndt, A. Denker, S. Dittmer, J. Leuschner, J. Nickel, M. Schmidt.
    Model-based deep learning approaches to the Helsinki Tomography Challenge 2022.
    Applied Mathematics for Modern Challenges, 1(2), 2023.

    DOI: 10.3934/ammc.2023007