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Publikationen des Jahres 2022

Zeitschriftenartikel (8)

  1. H. Albers, T. Kluth, T. Knopp.
    Simulating magnetization dynamics of large ensembles of single domain nanoparticles: Numerical study of Brown/Néel dynamics and parameter identification problems in magnetic particle imaging.
    Journal of Magnetism and Magnetic Materials, 541, 168508, Elsevier, 2022.

    DOI: 10.1016/j.jmmm.2021.168508
    online unter: https://www.sciencedirect.com/science/article/abs/pii/S0304885321007678

  2. H. Albers, T. Knopp, M. Möddel, M. Boberg, T. Kluth.
    Modeling the magnetization dynamics for large ensembles of immobilized magnetic nanoparticles in multi-dimensional magnetic particle imaging.
    Journal of Magnetism and Magnetic Materials, 543, 168534, Elsevier, 2022.

    DOI: 10.1016/j.jmmm.2021.168534

  3. S. Arridge, P. Fernsel, A. Hauptmann.
    Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems.
    Inverse Problems and Imaging, 16(3):483-523, 2022.

    DOI: 10.3934/ipi.2021059

  4. M. Beckmann, A. Bhandari, F. Krahmer.
    The Modulo Radon Transform: Theory, Algorithms and Applications.
    SIAM Journal on Imaging Sciences, 15(2):455-490, 2022.

    DOI: 10.1137/21M1424615

  5. S. Dittmer, C. Schönlieb, P. Maaß.
    Ground Truth Free Denoising by Optimal Transport.
    Erscheint in Numerical Algebra, Control, and Optimization

    online unter: https://arxiv.org/abs/2007.01575

  6. M. Eden, H. S. Mahato.
    Homogenization of a Poroelasticity Model for Fibre-Reinforced Hydrogels.
    Mathematical Methods in the Applied Sciences, Early view online , 2022.

    DOI: 10.1002/mma.8466

  7. C. Janßen, T. Boskamp, L. Hauberg-Lotte, J. Behrmann, S. Deininger, M. Kriegsmann, K. Kriegsmann, G. Steinbuß, H. Winter, T. Muley, R. Casadonte, J. Kriegsmann, P. Maaß.
    Robust subtyping of non-small cell lung cancer whole sections through MALDI mass spectrometry imaging.
    Proteomics - Clinical Applications, PRCA2208 , 2022.

    DOI: 10.1002/prca.202100068

  8. A. Mallek, D. Klosa, C. Büskens.
    Impact of Data Loss on Multi-Step Forecast of Traffic Flow in Urban Roads Using K-Nearest Neighbors.
    Sustainability, 14(18), 11232, 2022.

    DOI: https://doi.org/10.3390/su141811232

Tagungsbeiträge (5)

  1. M. Beckmann, A. Bhandari.
    MR. TOMP: Inversion of the Modulo Radon Transform (MRT) via Orthogonal Matching Pursuit (OMP).
    2022 IEEE International Conference on Image Processing (ICIP), 16.10.-19.10.2022.
  2. P. Berenbrink, M. Hoefer, D. Kaaser, P. Lenzner, M. Rau, D. Schmand.
    Asynchronous Opinion Dynamics in Social Networks.
    21st International Joint Conference on Autonomous Agents & Multiagent Systems (AAMAS 2022), Auckland, Neuseeland.

    online unter: https://dl.acm.org/doi/10.5555/3535850.3535864

  3. A. Folkers, C. Wellhausen, M. Rick, X. Li, L. Evers, V. Schwarting, J. Clemens, P. Dittmann, M. Shubbak, T. Bustert, G. Zachmann, K. Schill, C. Büskens.
    The OPA3L System and Testconcept for Urban Autonomous Driving.
    25th IEEE International Conference on Intelligent Transportation Systems, 08.10.-12.10.2022.

    DOI: 10.1109/ITSC55140.2022.9922416
    online unter: https://ieeexplore.ieee.org/document/9922416

  4. M. Höffmann, S. Patel, C. Büskens.
    Weight-Optimized NURBS Curves: Headland Paths for Nonholonomic Field Robots.
    2022 8th International Conference on Automation, Robotics and Applications (ICARA), 18.02.2022 - 20.02.2022.
    Proceedings of the 8th International Conference on Automation, Robotics and Applications, S. 81-85, 2022.

    DOI: 10.1109/ICARA55094.2022.9738525
    online unter: https://ieeexplore.ieee.org/document/9738525

  5. A. Mallek, D. Klosa, C. Büskens.
    Enhanced K-Nearest Neighbor Model For Multi-steps Traffic Flow Forecast in Urban Roads.
    8th IEEE International Smart Cities Conference, 26.09-29.09.2022.
    Paphos, Cyprus, IEEE Xplore, S. 1-5, 2022.

    DOI: 10.1109/ISC255366.2022.9921897

Buchkapitel (1)

  1. M. Knauer, C. Büskens.
    WORHP: Development and Applications of the ESA NLP solver.
    German Success Stories in Industrial Mathematics, H. Bock, K. Küfer, P. Maaß, A. Milde, V. Schulz (Hrsg.), Mathematics in Industry, vol 35, S. 155-160, Springer Verlag, 2022.

    DOI: 10.1007/978-3-030-81455-7_25

Qualifikationsarbeiten (1)

  1. S. Schulze.
    Blind source separation in single-channel polyphonic music recordings.
    Dissertationsschrift, Universität Bremen, 2022.

    online unter: https://media.suub.uni-bremen.de/handle/elib/5816

Preprints (4)

  1. C. Arndt.
    Regularization Theory of the Analytic Deep Prior Approach.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/2205.06493

  2. T. Grossmann, S. Dittmer, Y. Korolev, C. Schönlieb.
    Unsupervised Learning of the Total Variation Flow.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/2206.04406#

  3. S. Schulze, E. King.
    Formulating Beurling LASSO for Source Separation via Proximal Gradient Iteration.
    Zur Veröffentlichung eingereicht.

    online unter: https://doi.org/10.48550/arXiv.2202.08082

  4. T. Shadbahr, M. Roberts, J. Stanczuk, J. Gilbey, P. Teare, S. Dittmer, M. Thorpe, R. V. Torne, E. Sala, P. Lio, M. Patel, .. AIX-COVNET Collaboration, J. H. F. Rudd, T. Mirtti, A. Rannikko, J. A. D. Aston, J. Tang, C. Schönlieb.
    Classification of datasets with imputed missing values: does imputation quality matter?
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/2206.08478