Publikationen von Dr. Dennis Trede

Buchkapitel (2)

1. G. J. Bauer, D. Lorenz, P. Maaß, H. Preckel, D. Trede.
   Compounds, Drugs and Mathematical Image Processing.
   Production Factor Mathematics, M. Grötschel, K. Lucas, V. Mehrmann (Hrsg.), S. 379-392, Springer Verlag, 2010.

   DOI: 10.1007/978-3-642-11248-5_20

2. G. J. Bauer, D. Lorenz, P. Maaß, H. Preckel, D. Trede.
   Wirkstoffe, Medikamente und mathematische Bildverarbeitung.
   Produktionsfaktor Mathematik - wie Mathematik Technik und Wirtschaft bewegt, M. Grötschel, K. Lucas, V. Mehrmann (Hrsg.), acatech DISKUTIERT, S. 461-477, acatech - Deutsche Akademie der Technikwissenschaften, 2008.

   DOI: 10.1007/978-3-540-89435-3_20

Zeitschriftenartikel (20)

1. 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

2. 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

3. 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

4. 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

5. C. Bockelmann, H. Schepker, A. Dekorsy, A. Bartels, D. Trede, K. Kazimierski.
   C-Curve: A Finite Alphabet based Parameter Choice Rule for Elastic-Net in Sporadic Communication.
   IEEE Communication Letters, 18(8):1443 -- 1446, 2014.

   DOI: 10.1109/LCOMM.2014.2329487

6. 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

7. G. Ernst, O. Guntinas-Lichius, L. Hauberg-Lotte, D. Trede, M. Becker, F. Alexandrov, F. von Eggeling.
   Histomolecular interpretation of pleomorphic adenomas of the salivary gland by matrix-assisted laser desorption ionization imaging and spatial segmentation.
   Head & Neck, 37(7), 2014.

   DOI: 10.1002/hed.23713

8. 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

9. E. Herrholz, D. Lorenz, G. Teschke, D. Trede.
   Sparsity and Compressed Sensing in Inverse Problems.
   Lecture Notes in Computational Science and Engineering, 102:365-379, Springer Verlag, 2014.

   DOI: 10.1007/978-3-319-08159-5_18

10. A. Bartels, P. Dülk, D. Trede, F. Alexandrov, P. Maaß.
    Compressed sensing in imaging mass spectrometry.
    Inverse Problems, 29(12), 125015 (24pp), IOPscience, 2013.

    Selected as one of the highlights among all articles published in IOP "Inverse Problems" in 2013.

    DOI: 10.1088/0266-5611/29/12/125015

11. S. Steurer, C. Borkowski, S. Odinga, M. Buchholz, C. Koop, H. Huland, M. Becker, M. Witt, D. Trede, M. Omidi, O. Kraus, A. S. Bahar, A. S. Seddiqi, J. M. Singer, M. Kwiatkowski, M. Trusch, R. Simon, M. Wurlitzer, S. Minner, T. Schlomm, G. Sauter, H. Schlüter.
    MALDI mass spectrometric imaging based identification of clinically relevant signals in prostate cancer using large-scale tissue microarrays.
    Erscheint in International Journal of Cancer

    DOI: 10.1002/ijc.28080

12. 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

13. 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

14. D. Trede, F. Alexandrov, C. Sagiv, P. Maaß.
    Magnification of Label Maps with a Topology-Preserving Level-Set Method.
    IEEE Transactions on Image Processing, 21(9):4040-4053 , 2012.

    DOI: 10.1109/TIP.2012.2199325

15. 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

16. D. Lorenz, S. Schiffler, D. Trede.
    Beyond convergence rates: exact recovery with the Tikhonov regularization with sparsity constraints.
    Inverse Problems, 27(8), 085009(17pp), IOPscience, 2011.

    Paper selected in "2011 Highlights for Inverse Problems"

    DOI: 10.1088/0266-5611/27/8/085009
    online unter: arXiv.org e-Print archive

17. 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

18. L. Denis, D. Lorenz, D. Trede.
    Greedy Solution of Ill-Posed Problems: Error Bounds and Exact Inversion.
    Inverse Problems, 25(11), 115017(24pp), 2009.

    DOI: 10.1088/0266-5611/25/11/115017
    online unter: arXiv.org e-Print archive

19. L. Denis, D. Lorenz, E. Thiébaut, C. Fournier, D. Trede.
    Inline hologram reconstruction with sparsity constraints.
    Optics Letters, 34(22):3475-3477, 2009.

    DOI: 10.1364/OL.34.003475
    online unter: HAL (Hyper Articles en Ligne) open archive

20. D. Lorenz, D. Trede.
    Optimal Convergence Rates for Tikhonov Regularization in Besov Scales.
    Inverse Problems, 24(5), 055010(14pp), 2008.

    DOI: 10.1088/0266-5611/24/5/055010
    online unter: arXiv.org e-Print archive

Qualifikationsarbeiten (2)

1. D. Trede.
   Inverse problems with sparsity constraints: Convergence rates and exact recovery.
   Dissertationsschrift, Universität Bremen, Logos Verlag, 2010.
2. D. Trede.
   Parameteroptimierung und Segmentieren mit aktiven Konturen für die High-Content-Analyse beim Hochdurchsatz-Screening.
   Diplomarbeit, Universität Bremen, unpublished diploma thesis, 2007.

Tagungsbeiträge (7)

1. A. Bartels, D. Trede, F. Alexandrov, P. Maaß.
   Hybrid Regularization and Sparse Reconstruction of Imaging Mass Spectrometry Data.
   10th International Conference on Sampling Theory and Applications (SampTA'13), 01.07.-05.07.2013, Bremen, Deutschland.
   

   online unter: http://www.eurasip.org/Proceedings/Ext/SampTA2013/papers/p189-bartels.pdf

2. D. Trede.
   Exact support recovery for linear inverse problems with sparsity constraint.
   International Conference on Inverse Problems , 26.04.-29,04.2010, Wuhan, China.
   Methods and Applications of Analysis, 18(1):105-110, International Press, Boston, Massachusetts, USA, 2011.

   online unter: http://www.intlpress.com/MAA/MAA-v18.php#MAA-18-1

3. D. Trede, J. H. Kobarg, K. Steinhorst, F. Alexandrov.
   Mathematical Methods for Imaging Mass Spectrometry.
   14th Joint International IMEKO TC1+TC7+TC13 Symposium, 31.08.-02.09.2011, Jena, Deutschland.
   

   Best Paper Award at IMEKO Symposium Jena

   online unter: URN: urn:nbn:de:gbv:ilm1-2011imeko-082:8

4. D. Lorenz, D. Trede.
   Greedy Deconvolution of Point-like Objects.
   Second Workshop "Signal Processing with Adaptive Sparse Structured Representations" (SPARS′09), 06.04.-09.04.2009, St. Malo, Frankreich.
   
5. D. Lorenz, D. Trede.
   Optimal Convergence Rates for Tikhonov Regularization in Besov Scales.
   4th International Conference on Inverse Problems: Modeling and Simulation, 26.05.-30.05.2008, Fethiye, Türkei.
   Journal of Inverse and Ill-Posed Problems, 17(1):69-76, 2009.

   DOI: 10.1515/JIIP.2009.008

6. D. Lorenz, P. Maaß, H. Preckel, D. Trede.
   Topology-preserving geodesic active contours for segmentation of high-content fluorescent cellular imaging.
   79th Annual Meeting of the International Association of Applied Mathematics and Mechanics, 31.03-04.04.2008, Bremen, Deutschland.
   Proceedings in Applied Mathematics and Mechanics, 8(1):10941-10942, 2008.

   DOI: 10.1002/pamm.200810941

7. G. Teschke, U. Görsdorf, P. Körner, D. Trede.
   A New Approach for Target Classification of Ka-Band Radar Data.
   Fourth European Conference on Radar in Meteorology and Hydrology (ERAD), 18.09-22.09.2006, Barcelona, Spanien.