Logo Uni Bremen

Center for Industrial Mathematics

ZeTeM > About ZeTeM > Staff > Dr. Pascal Fernsel

Contact Sitemap Impressum [ English | Deutsch ]
Bild Dr. Pascal Fernsel

Dr. Pascal Fernsel

Research Assistant WG Industrial Mathematics, Research Training Group π3

Room: MZH 2290
Email: p.fernsel
Phone: (0421) 218-63814
ORCID iD:  0000-0003-3424-8031

Information: Email ends with @uni-bremen.de

Research Areas

Projects

  1. Nicht-negative Matrix-Faktorisierung mit A-priori-Wissen (since 01.12.2014)

Courses (Selection)complete list

  1. Inverse Problems in Imaging (Wintersemester 2023/2024)
  2. Deep Learning for Inverse Problems (Sommersemester 2023)
  3. Nonlinear Inverse Problems (Sommersemester 2023)

Theses (Selection)complete list

  1. Hauptkomponentenanalyse zur Untersuchung seismologischer Daten der Neumayer-Station III (Ribana Werner)

Publications (Selection)complete list

  1. 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

  2. P. Fernsel.
    Nonnegative Matrix Factorization: Theory, Algorithms and Applications.
    Dissertationsschrift, Universität Bremen, 2022.

    DOI: 10.26092/elib/1493
    online at: https://doi.org/10.26092/elib/1493

  3. 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

  4. P. Fernsel, P. Maaß.
    Regularized Orthogonal Nonnegative Matrix Factorization and K-means Clustering.
    Zur Veröffentlichung eingereicht.

    online at: https://arxiv.org/abs/2112.07641

  5. J. Leuschner, M. Schmidt, P. Fernsel, D. Lachmund, T. Boskamp, P. Maaß.
    Supervised Non-negative Matrix Factorization Methods for MALDI Imaging Applications.
    Bioinformatics, bty909 , 2018.

    DOI: 10.1093/bioinformatics/bty909