Publikationen von Prof. Dr. Herbert Thiele

Buchkapitel (1)

1. S. Dahlke, P. Maaß, G. Teschke, K. Koch, D. Lorenz, S. Müller, S. Schiffler, A. Stämpfli, H. Thiele, M. Werner.
   Multiscale Approximation.
   Mathematical Methods in Time Series Analysis and Digital Image Processing, R. Dahlhaus, J. Kurths, P. Maaß, J. Timmer (Hrsg.), S. 75-109, Springer Verlag, 2008.

Zeitschriftenartikel (15)

1. F. Hoffmann, J. M. Lotz, J. Lotz, S. Heldmann, D. Trede, J. Oetjen, M. Becker, G. Ernst, P. Maaß, F. Alexandrov, O. Guntinas-Lichius, H. Thiele, F. von Eggeling.
   Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition.
   BBA - Proteins and Proteomics, , 2016.

   DOI: 10.1016/j.bbapap.2016.08.018

2. J. Oetjen, K. Veselkov, J. Watrous, J. McKenzie, M. Becker, L. Hauberg-Lotte, J. H. Kobarg, A. K. Mróz, N. Strittmatter, F. Hoffmann, D. Trede, A. Palmer, S. Schiffler, K. Steinhorst, M. Aichler, R. Goldin, O. Guntinas-Lichius, F. von Eggeling, H. Thiele, K. Mädler, A. Walch, P. Maaß, P. C. Dorrestein, Z. Takats, F. Alexandrov.
   Benchmark datasets for 3D MALDI- and DESI-imaging mass spectrometry.
   GigaScience, 4, 2015.

   DOI: 10.1186/s13742-015-0059-4

3. H. Thiele, S. Heldmann, D. Trede, J. Strehlow, S. Wirtz, W. Dreher, J. Berger, J. Oetjen, J. H. Kobarg, B. Fischer, P. Maaß.
   2D and 3D MALDI-Imaging: Conceptual Strategies for Visualization and Data Mining.
   BBA - Proteins and Proteomics, 1844(1):117-137, 2014.

   DOI: 10.1016/j.bbapap.2013.01.040

4. O. Klein, K. Strohschein, G. Nebrich, J. Oetjen, D. Trede, H. Thiele, F. Alexandrov, P. Giavalisco, G. N. Duda, P. Roth von, S. Geissler, J. Klose, T. Winkler.
   MALDI imaging mass spectrometry: Discrimination of pathophysiological regions in traumatized skeletal muscle by characteristic peptide signatures.
   Proteomics, 14(20):2249-2260, 2014.

   DOI: 10.1002/pmic.201400088

5. J. Oetjen, M. Aichler, D. Trede, J. Strehlow, J. Berger, S. Heldmann, M. Becker, M. Gottschalk, J. H. Kobarg, S. Wirtz, S. Schiffler, H. Thiele, A. Walch, P. Maaß, F. Alexandrov.
   MRI-compatible pipeline for three-dimensional MALDI imaging mass spectrometry using PAXgene fixation .
   Journal of Proteomics, 90:52-60, 2013.

   DOI: 10.1016/j.jprot.2013.03.013

6. M. Lagarrigue, F. Alexandrov, G. Dieuset, A. Perrin, R. Lavigne, S. Baulac, H. Thiele, B. Martin.
   A new analysis workflow for MALDI imaging mass spectrometry: application to the discovery and identification of potential markers of Childhood Absence Epilepsy.
   Journal of Proteome Research, 11(11):5453-5463, 2012.

   DOI: 10.1021/pr3006974

7. D. Trede, S. Schiffler, M. Becker, S. Wirtz, K. Steinhorst, J. Strehlow, M. Aichler, J. H. Kobarg, J. Oetjen, A. Dyatlov, S. Heldmann, A. Walch, H. Thiele, P. Maaß, F. Alexandrov.
   Exploring Three-Dimensional Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry Data: Three-Dimensional Spatial Segmentation of Mouse Kidney.
   Analytical Chemistry, 84(14):6079-6087, 2012.

   DOI: 10.1021/ac300673y

8. D. Trede, J. H. Kobarg, J. Oetjen, H. Thiele, P. Maaß, F. Alexandrov.
   On the Importance of Mathematical Methods for Analysis of MALDI-Imaging Mass Spectrometry Data.
   Journal of Integrative Bioinformatics, 9(1), 189 S., 2012.

   DOI: 10.2390/biecoll-jib-2012-189
   online unter: JIB open access

9. M. Komori, Y. Matsuyama, T. Nirasawa, H. Thiele, M. Becker, F. Alexandrov, T. Saida, M. Tanaka, H. Matsuo, H. Tomimoto, R. Takahashi, K. Tashiro, M. Ikegawa, T. Kondo.
   Proteomic pattern analysis discriminates among multiple sclerosis-related disorders.
   Annals of Neurology, 71(5):614-623, 2011.

   DOI: 10.1002/ana.22633

10. F. Alexandrov, S. Meding, D. Trede, J. H. Kobarg, B. Balluff, A. Walch, H. Thiele, P. Maaß.
    Super-resolution segmentation of imaging mass spectrometry data: Solving the issue of low lateral resolution.
    Journal of Proteomics, 75(1):237-245, Elsevier, 2011.

    DOI: 10.1016/j.jprot.2011.08.002

11. F. Alexandrov, M. Becker, S. Deininger, G. Ernst, L. Wehder, M. Grasmair, F. von Eggeling, H. Thiele, P. Maaß.
    Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clustering.
    Journal of Proteome Research, 9(12):6535-6546, 2010.

    DOI: 10.1021/pr100734z

12. C. I. Balog, F. Alexandrov, R. J. Derks, P. J. Hensbergen, G. J. van Dam, E. M. Tukahebwa, N. B. Kabatereine, H. Thiele, B. J. Vennervald, O. A. Mayboroda, A. M. Deelder.
    The feasibility of mass spectrometry and advanced data processing for monitoring Schistosoma mansoni infection.
    Proteomics - Clinical Applications, 4(5):499-510, 2010.
13. F. Alexandrov, J. Decker, B. Mertens, A. M. Deelder, H. Thiele, P. Maaß, R. A. E. M. Tollenaar.
    Biomarker discovery in MALDI-TOF serum protein profiles using discrete wavelet transformation.
    Bioinformatics, 25(5):643-649, 2009.

    DOI: 10.1093/bioinformatics/btn662

14. M. Lindemann, H. Thiele, P. Maaß, J. Decker.
    Support vector classification of proteomic profile spectra based on feature extraction with the bi-orthogonal discrete wavelet transform.
    Computing and Visualization in Science, 12(4):189-199, Springer Verlag, 2009.

    DOI: 10.1007/s00791-008-0087-z

15. E. Klann, D. Lorenz, P. Maaß, H. Thiele.
    Shrinkage versus Deconvolution.
    Inverse Problems, 23:2231-2248, 2007.

    DOI: 10.1088/0266-5611/23/5/025

Tagungsbeiträge (1)

1. K. Bredies, F. Alexandrov, J. Decker, D. Lorenz, H. Thiele.
   Sparse deconvolution for peak picking and ion charge estimation in mass spectrometry.
   15th European Conference on Mathematics in Industry'08, 30.06.-04.07.2008, London, Großbritannien.
   Erscheint in Proceedings of 15th European Conference on Mathematics in Industry'08.