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Publikationen von Dr. Tobias Boskamp

Buchkapitel (2)

  1. P. Maaß, L. Hauberg-Lotte, T. Boskamp.
    MALDI Imaging: Exploring the Molecular Landscape.
    German Success Stories in Industrial Mathematics, H. Bock, K. Küfer, P. Maaß, A. Milde, V. Schulz (Hrsg.), Mathematics in Industry, S. 97-103, Springer Verlag, 2022.

    DOI: 10.1007/978-3-030-81455-7_17

  2. P. Maaß, T. Boskamp, V. Dicken, R. Bischoff, H. Peters, H. Stark.
    Bilddatenkompression mit Wavelet-Methoden.
    Mathematik: Schlüsseltechnologie für die Zukunft, Verbundprojekte zwischen Universität und Industrie, F. Hoffmann, W. Jäger, B. Lohmann, H. Schunck (Hrsg.), S. 385-394, Springer Verlag, 1997.

Zeitschriftenartikel (12)

  1. 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

  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 unter: https://doi.org/10.1021/acs.analchem.1c01792

  3. 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

  4. O. Klein, F. Fogt, S. Hollerbach, G. Nebrich, T. Boskamp, A. Wellmann.
    Classification of Inflammatory Bowel Disease from Formalin‐Fixed, Paraffin‐Embedded Tissue Biopsies via Imaging Mass Spectrometry.
    Proteomics - Clinical Applications, 190131 , Wiley, 2020.

    DOI: 10.1002/prca.201900131

  5. F. Lieb, T. Boskamp, H. Stark.
    Peak detection for MALDI mass spectrometry imaging data using sparse frame multipliers.
    Journal of Proteomics, 103852 225, Elsevier, 2020.

    DOI: 10.1016/j.jprot.2020.103852

  6. T. Boskamp, D. Lachmund, R. Casadonte, L. Hauberg-Lotte, J. H. Kobarg, J. Kriegsmann, P. Maaß.
    Using the chemical noise background in MALDI mass spectrometry imaging for mass alignment and calibration.
    Analytical Chemistry, 92(1):1301-1308, 2020.

    DOI: 10.1021/acs.analchem.9b04473
    online unter: https://doi.org/10.1021/acs.analchem.9b04473

  7. J. Behrmann, C. Etmann, T. Boskamp, R. Casadonte, J. Kriegsmann, P. Maaß.
    Deep Learning for Tumor Classification in Imaging Mass Spectrometry.
    Bioinformatics, 34(7):1215-1223, Oxford University Press, 2018.

    DOI: 10.1093/bioinformatics/btx724

  8. 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

  9. Y. Cordero Hernandez, T. Boskamp, R. Casadonte, L. Hauberg-Lotte, J. Oetjen, D. Lachmund, A. Peter, D. Trede, K. Kriegsmann, M. Kriegsmann, J. Kriegsmann, P. Maaß.
    Targeted Feature Extraction in MALDI Mass Spectrometry Imaging to Discriminate Proteomic Profiles of Breast and Ovarian Cancer.
    Proteomics - Clinical Applications, 1700168 , Wiley, 2018.

    DOI: 10.1002/prca.201700168

  10. T. Boskamp, D. Lachmund, J. Oetjen, Y. Hernandez-Cordero, D. Trede, P. Maaß, R. Casadonte, J. Kriegsmann, A. Warth, H. Dienemann, W. Weichert, M. Kriegsmann.
    A new classification method for MALDI imaging mass spectrometry data acquired on formalin-fixed paraffin-embedded tissue samples.
    BBA - Proteins and Proteomics, , 2016.

    DOI: 10.1016/j.bbapap.2016.11.003

  11. J. Oetjen, D. Lachmund, A. Palmer, F. Alexandrov, M. Becker, T. Boskamp, P. Maaß.
    An approach to optimize sample preparation for MALDI imaging MS of FFPE sections using fractional factorial design of experiments.
    Analytical and Bioanalytical Chemistry, 408(24):6729-40, 2016.

    DOI: 10.1007/s00216-016-9793-4

  12. J. Ricke, P. Maaß, E. L. Hänninen, T. Liebig, H. Amthauer, C. Stroszczynski, W. Schauer, T. Boskamp, M. Wolf.
    Wavelet Versus JPEG (Joint Photographic Expert Group) and Fractal Compression: Impact on the Detection of Low-Contrast Details in Computed Radiographs.
    Investigative Radiology, 33(8):456-463, 1998.

Preprints (1)

  1. C. Etmann, M. Schmidt, J. Behrmann, T. Boskamp, L. Hauberg-Lotte, A. Peter, R. Casadonte, J. Kriegsmann, P. Maaß.
    Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/1912.05459

Tagungsbeiträge (1)

  1. T. Boskamp, D. Lachmund, J. Oetjen, Y. Hernandez-Cordero, J. Behrmann, J. H. Kobarg, R. Casadonte, J. Kriegsmann, P. Maaß.
    Visualizing MALDI TOF datasets of FFPE tissue samples for the purpose of quality assessment and comparison.
    OurCon IV - 2016, 17.10.-21.10.2016, Ustron, Polen.

    online unter: http://www.bioradint.eu/ourcon_public/papersview.php?showdetail=&paper_id=45