Publications of the year 2021

Articles (21)

1. N. K. Bellam Muralidhar, N. Rauter, A. Mikhaylenko, R. Lammering, D. Lorenz.
   Parametric model order reduction of guided ultrasonic wave propagation in fiber metal laminates with damage.
   Modelling, 2(4):591-608, 2021.

   DOI: 10.3390/modelling2040031
   online at: https://www.preprints.org/manuscript/202109.0312/v1

2. T. Boskamp, R. Casadonte, L. Hauberg-Lotte, S. Deininger, J. Kriegsmann, B. Maass.
   Cross-Normalization of MALDI Mass Spectrometry Imaging Data Improves Site-to-Site Reproducibility.
   Analytical Chemistry, 93(30):10584-10592, 2021.

   online at: https://doi.org/10.1021/acs.analchem.1c01792

3. C. Clason, D. Lorenz, H. Mahler, B. Wirth.
   Entropic regularization of continuous optimal transport problems.
   Journal of Mathematical Analysis and Applications, 494(1), 2021.

   DOI: 10.1016/j.jmaa.2020.124432
   online at: http://arxiv.org/abs/1803.02848

4. A. Denker, M. Schmidt, J. Leuschner, P. Maaß.
   Conditional Invertible Neural Networks for Medical Imaging .
   MDPI Journal of Imaging, Inverse Problems and Imaging 7(11), 243 pp., 2021.

   DOI: 10.3390/jimaging7110243

5. D. Dissard, G. J. Reichert, C. Menkes, M. Mangeas, S. Frickenhaus, J. Bijma.
   Mg∕Ca, Sr∕Ca and stable isotopes from the planktonic foraminifera T. sacculifer: testing a multi-proxy approach for inferring paleotemperature and paleosalinity.
   Biogeosciences, 18(2):423-439, 2021.

   DOI: 10.5194/bg-18-423-2021

6. S. Dittmer, T. Kluth, M. Henriksen, P. Maaß.
   Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset.
   International Journal on Magnetic Particle Imaging, 7(1), 2021.

   online at: https://journal.iwmpi.org/index.php/iwmpi/article/view/148

7. M. Eden, A. Muntean, C. Nikolopoulos.
   A multiscale quasilinear system for colloids deposition in porousmedia: Weak solvability and numerical simulation of anear-clogging scenario.
   Nonlinear Analysis: Real World Applications, 63:1-29, Elsevier, 2021.

   DOI: 10.1016/j.nonrwa.2021.103408
   online at: https://www.sciencedirect.com/science/article/pii/S1468121821001206?via%3Dihub

8. P. Fernsel.
   Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization.
   MDPI Journal of Imaging, 7(10), 2021.

   DOI: 10.3390/jimaging7100194
   online at: https://www.mdpi.com/2313-433X/7/10/194

9. S. Grützner, A. Muntean.
   Identifying processes governing damage evolution in quasi-static elasticity. Part 1 – Analysis.
   Advances in Mathematical Sciences and Applications, 30(2):305-334, 2021.

   online at: https://mcm-www.jwu.ac.jp/~aikit/AMSA/pdf/abstract/2021/016_2021_top.pdf

10. A. Konschin.
    Electromagnetic wave scattering from locally perturbed periodic inhomogeneous layers.
    Erscheint in Mathematical Methods in the Applied Sciences

    DOI: 10.1002/mma.7680

11. A. Konschin.
    Numerical Scheme for Electromagnetic Scattering on Perturbed Periodic Inhomogeneous Media and Reconstruction of the Perturbation.
    SIAM Journal on Scientific Computing, 43(3), 21 pp., SIAM, 2021.

    DOI: 10.1137/20M1350716

12. J. Le Clerc Arrastia, N. Heilenkötter, D. Otero Baguer, L. Hauberg-Lotte, T. Boskamp, S. Hetzer, N. Duschner , J. Schaller , P. Maaß.
    Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.
    MDPI Journal of Imaging, 71 7(4), Meisenbach Verlag, Bamberg, 2021.

    DOI: 10.3390/jimaging7040071

13. J. Leuschner, M. Schmidt, D. Otero Baguer, P. Maaß.
    LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction.
    Scientific Data, 8(109), 2021.

    DOI: 10.1038/s41597-021-00893-z

14. J. Leuschner, M. Schmidt, P. Ganguly, V. Andriiashen, S. Coban, A. Denker, D. Bauer, A. Hadjifaradji, K. Batenburg, B. Maass, M. von Eijnatten.
    Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.
    MDPI Journal of Imaging, 7(3), 44 pp., 2021.

    DOI: 10.3390/jimaging7030044
    online at: https://www.mdpi.com/2313-433X/7/3/44

15. D. Lorenz, C. Meyer, P. Manns.
    Quadratically regularized optimal transport.
    Applied Mathematics & Optimization, 83:1919-1949, 2021.

    DOI: 10.1007/s00245-019-09614-w
    online at: https://arxiv.org/abs/1903.01112

16. M. Möddel, F. Griese, T. Kluth, T. Knopp.
    Estimating the Spatial Orientation of Immobilized Magnetic Nanoparticles with Parallel-Aligned Easy Axes.
    Physical Review Applied, 16(4), L041003 pp., 2021.
17. F. Schneppe, D. Lorenz.
    Parameter estimation for orthogonal polynomial moments.
    PAMM, 20(1), Wiley, 2021.

    DOI: 10.1002/pamm.202000253

18. S. Schulze, E. King.
    Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings.
    EURASIP Journal on Audio, Speech, and Music Processing, 6:2-25, 2021.

    DOI: 10.1186/s13636-020-00190-4
    online at: https://rdcu.be/ceo1J

19. G. Rigaud.
    3D Compton scattering imaging with multiple scattering: analysis by FIO and contour reconstruction.
    Inverse Problems, 37(6), 2021.

    online at: https://iopscience.iop.org/article/10.1088/1361-6420/abf22b

20. S. Schulze, J. Leuschner, E. King.
    Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients.
    MDPI Open Access Journals Signals, 2(4):637-661, 2021.

    DOI: 10.3390/signals2040039
    online at: https://www.mdpi.com/2624-6120/2/4/39

21. L. Kuger, G. Rigaud.
    Modeling and Reconstruction Strategy for Compton Scattering Tomography with Scintillation Crystals.
    Crystals, 11(6), 2021.

    DOI: https://doi.org/10.3390/cryst11060641