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ZeTeM > Arbeitsgruppen > AG Technomathematik > Publikationen

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Publikationen der AG Technomathematik

Zeitschriftenartikel (17)

  1. 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

  2. C. M. Rath, J. Y. Yang, F. Alexandrov, P. C. Dorrestein.
    Data-independent microbial metabolomics with ambient ionization mass spectrometry.
    Journal of Mass Spectrometry, 24(8):1167-1176, 2013.

    DOI: 10.1007/s13361-013-0608-y

  3. V. M. Calo, N. Collier, M. Gehre, B. Jin, H. Radwan, M. Santillana.
    Gradient-based estimation of Manning's friction coefficient from noisy data.
    Journal of Computational and Applied Mathematics, 238:1-13, 2013.

    DOI: 10.1016/j.cam.2012.08.004

  4. I. Piotrowska-Kurczewski, J. Schlasche, D. Weimer, B. Scholz-Reiter, P. Maaß.
    Image Denoising and Quality inspection of Micro Components using Perona-Malik Diffusion.
    Procedia CIRP, 8:432-437, Elsevier, 2013.

    DOI: 10.1016/j.procir.2013.06.129

  5. F. Alexandrov.
    Imaging mass spectrometry reveals modified forms of histone H4 as new biomarkers of microvascular invasion in hepatocellular carcinomas.
    Hepatology, 58(3):983-94, 2013.

    DOI: 10.1002/hep.26433

  6. J. Watrous, F. Alexandrov, P. C. Dorrestein.
    Interspecies interactions stimulate diversification of the Streptomyces coelicolor secreted metabolome.
    mBio, 4(4):e00459-13, 2013.

    DOI: 10.1128/mBio.00459-13

  7. F. Alexandrov, P. E. . Bourne.
    Learning how to run a lab: interviews with Principal Investigators.
    POLS Computational Biology, 9(11), e1003349 S., 2013.

    DOI: 10.1371/journal.pcbi.1003349

  8. 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

  9. J. Watrous, P. Roach, B. S. Heath, F. Alexandrov, J. Laskin, P. C. Dorrestein.
    Metabolic Profiling Directly from the Petri Dish Using Nanospray Desorption Electrospray Ionization Imaging Mass Spectrometry.
    Analytical Chemistry, 85(21), 10385–10391, 2013.

    DOI: 10.1021/ac4023154

  10. J. Watrous, F. Alexandrov, P. C. Dorrestein.
    Microbial metabolic exchange in 3D.
    ISME Journal, 7(4):770-780, 2013.

    DOI: 10.1038/ismej.2012.155

  11. 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

  12. F. Alexandrov, M. Becker, A. C. Crecelius.
    Phenalenone-type phytoalexins mediate resistance of banana plants (Musa spp.) to the burrowing nematode Radopholus similis.
    Proceedings of the National Academy of Sciences of the United States of America , , 2013.

    DOI: 10.1073/pnas.1314168110

  13. F. Alexandrov, P. Lasch.
    Segmentation of Confocal Raman Microspectroscopic Imaging Data Using Edge-Preserving Denoising and Clustering.
    Analytical Chemistry, 85(12):5676-83, 2013.

    DOI: 10.1021/ac303257d

  14. Q. M. Pham, D. Nho Hào, P. Maaß, M. Pidcock.
    Semismooth Newton and Quasi-Newton methods in weighted l¹-regularization.
    Journal of Inverse and Ill-posed Problems, 21(5):665-693, 2013.

    DOI: 10.1515/jip-2013-0031

  15. F. Alexandrov, A. Bartels.
    Testing for presence of known and unknown molecules in imaging mass spectrometry.
    Bioinformatics, 29(18):2335-2342, 2013.

    DOI: 10.1093/bioinformatics/btt388

  16. F. Alexandrov.
    The Young PI Buzz: Learning from the Organizers of the Junior Principal Investigator Meeting at ISMB-ECCB 2013.
    POLS Computational Biology, 9(11), e10003350 S., 2013.

    DOI: 10.1371/journal.pcbi.1003350

  17. A. Lechleiter, K. Kazimierski, M. Karamehmedovic.
    Tikhonov regularization in L^p applied to inverse medium scattering.
    Inverse Problems, 29, 075003, IOPscience, 2013.

    DOI: doi:10.1088/0266-5611/29/7/075003
    online unter: Link

Tagungsbeiträge (2)

  1. J. Vehmeyer, I. Piotrowska-Kurczewski, S. Twardy.
    A surface generation model for micro cutting processes with geometrically defined cutting edges.
    MATADOR 37th International Conference, 25th – 27th July, 2012.
    2013, XVII, 448 p. 582 illus, Proceedings of the 37th International MATADOR Conference, S. 149-152, 2013.
  2. 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

Buchkapitel (5)

  1. E. Ovchinnikova, N. Montazeri, F. Alexandrov, J. Hobbs, M. C. McCord, R. Mulkar-Mehta .
    Abductive Reasoning with a Large Knowledge Base for Discourse Processing.
    Computing Meaning, 47, S. 107-127, Springer Verlag, 2013.

    DOI: 10.1007/978-94-007-7284-7_7

  2. M. Andres, H. Blum, C. Brandt, C. Carstensen, P. Maaß, J. Niebsch, A. Rademacher, R. Ramlau, A. Schröder, E. Stephan, S. Wiedemann.
    Adaptive finite Elements and Mathematical Optimization Methods.
    Process Machine Interactions, B. Denkena, F. Hollmann (Hrsg.), Lecture Notes in Production Engineering, S. 53-77, Springer Verlag, 2013.

    DOI: 10.1007/978-3-642-32448-2

  3. J. H. Kobarg, F. Alexandrov.
    Efficient spatial segmentation of hyper-spectral 3D volume data.
    Algorithms from and for Nature and Life, B. Lausen, D. Van den Poel, A. Ultsch (Hrsg.), Studies in Classification, Data Analysis, and Knowledge Organization, S. 95-103, Springer Verlag, 2013.

    DOI: 10.1007/978-3-319-00035-0_9

  4. I. Piotrowska-Kurczewski, C. Brandt, P. Maaß, O. Riemer.
    Inverse Modelling.
    Micro Metal Forming, F. Vollertsen (Hrsg.), ISBN: 978-3-642-30915-1, S. 267-288, Springer Verlag, 2013.
  5. C. Brandt, A. Krause, J. Niebsch, J. Vehmeyer, E. Brinksmeier, P. Maaß, R. Ramlau.
    Surface Generation Process with Consideration of the Balancing State in Diamond Machining.
    Process Machine Interactions, B. Denkena, F. Hollmann (Hrsg.), Lecture Notes in Production Engineering, S. 329-360, Springer Verlag, 2013.

    DOI: 10.1007/978-3-642-32448-2

Qualifikationsarbeiten (2)

  1. B. Kanning.
    Instationary Vibrational Analysis for Impulse-type Stimulated Structures.
    Dissertationsschrift, Universität Bremen, Logos Verlag, 2013.
  2. C. Brandt.
    Regularization of Inverse Problems for Turning Processes.
    Dissertationsschrift, Universität Bremen, Logos Verlag, 2013.

    online unter: http://logos-verlag.de/cgi-bin/buch?isbn=3323