Publikationen der AG Technomathematik

Zeitschriftenartikel (20)

1. 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

2. B. Jin, T. Khan, P. Maaß.
   A reconstruction algorithm for electrical impedance tomography based on sparsity regularization .
   International Journal for Numerical Methods in Engineering, 89(3):337-353, 2012.

   DOI: 10.1002/nme.3247

3. F. Alexandrov, S. Bianconcini, E. B. Dagum, P. Maaß, T. S. McElroy.
   A review of some modern approaches to the problem of trend extraction.
   Econometric Reviews, 31(6):593-624, Taylor & Francis, 2012.

   DOI: 10.1080/07474938.2011.608032

4. S. Dahlke, U. Friedrich, P. Maaß, T. Raasch, R. Ressel.
   An adaptive wavelet solver for a nonlinear parameter identification problem for a parabolic differential equation with sparsity constraints.
   Journal of Inverse and Ill-posed Problems, 20(2):213-251, 2012.

   DOI: 10.1515/jip-2012-0013

5. B. Jin, P. Maaß.
   An analysis of electrical impedance tomography with applications to Tikhonov regularization.
   ESAIM: Control, Optimisation and Calculus of Variations, 18(4):1027-1048, 2012.

   DOI: 10.1051/cocv/2011193

6. A. C. Crecelius, F. Alexandrov, U. S. Schubert.
   Application of MALDI-MSI for photolithographic structuring.
   Analytical Chemistry, 84(16):6921-6925, 2012.

   DOI: 10.1021/ac301616v

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. Lorenz, P. Maaß, Q. M. Pham.
   Gradient descent for Tikhonov functionals with sparsity constraints: theory and numerical comparison of step size rules.
   Electronic Transactions on Numerical Analysis, 39:437-463, 2012.
9. 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

10. F. Alexandrov.
    MALDI imaging mass spectrometry: statistical data analysis and current computational challenges.
    BMC Bioinformatics, 13 (Suppl 16): S11; IF2.8 , 2012.

    DOI: 10.1186/1471-2105-13-S16-S11

11. F. Alexandrov, M. Becker, O. Guntinas-Lichius, G. Ernst, F. von Eggeling.
    MALDI-imaging segmentation is a powerful tool for spatial functional proteomic analysis of human larynx carcinoma.
    Journal of Cancer Research and Clinical Oncology, 139(1):85-95, 2012.

    DOI: 10.1007/s00432-012-1303-2

12. N. Bandeira, J. Watrous, P. Roach, F. Alexandrov, B. S. Heath, J. Y. Yang, R. D. Kersten, M. van der Voort, K. Pogliano, H. Gross, J. M. Raaijmakers, B. S. Moore, J. Laskin, P. C. Dorrestein.
    Mass spectral molecular networking of living microbial colonies.
    Proceedings of the National Academy of Sciences of the United States of America , 109(26):1743-1752, 2012.

    DOI: 10.1073/pnas.1203689109

13. C. Brandt, P. Maaß, I. Piotrowska-Kurczewski, S. Schiffler, O. Riemer, E. Brinksmeier.
    Mathematical methods for optimizing high precision cutting operations.
    International Journal of Nanomanufacturing, 8(4):306-325, 2012.

    DOI: 10.1504/IJNM.2012.048580

14. C. M. Rath, F. Alexandrov, S. K. Higginbottom, J. Song, J. L. Sonnenburg, M. E. Milla, M. A. Fischbach, P. C. Dorrestein.
    Molecular analysis of model gut microbiotas by imaging mass spectrometry and nano-desorption electrospray ionization reveals dietary metabolite transformations.
    Analytical Chemistry, 84(21):9259-9267, 2012.

    DOI: 10.1021/ac302039u

15. M. Ehrhardt, H. Villinger, S. Schiffler.
    New Tools for Decomposition of Sea Floor Pressure Data.
    Computers & Geosciences, 45:4-12, Elsevier, 2012.

    DOI: 10.1016/j.cageo.2012.03.022
    online unter: http://dx.doi.org/10.1016/j.cageo.2012.03.022

16. K. Kazimierski, P. Maaß, R. Strehlow.
    Norm sensitivity of sparsity regularization with respect to p.
    Inverse Problems, 104009 28(10), IOPscience, 2012.

    Ausgezeichnet als Highlight Paper

    DOI: 10.1088/0266-5611/28/10/104009

17. 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

18. B. Jacob, B. Jin, T. Khan, P. Maaß.
    Optimal Source for Maximum Distinguishability in Optical Imaging.
    Journal of Applied Functional Analysis, 7(4):394-412, 2012.
19. M. Gehre, T. Kluth, A. Lipponen, B. Jin, A. Seppänen, J. P. Kaipio, P. Maaß.
    Sparsity Reconstruction in Electrical Impedance Tomography: An Experimental Evaluation.
    Journal of Computational and Applied Mathematics, 236(8):2126-2136, 2012.

    DOI: 10.1016/j.cam.2011.09.035

20. B. Jin, P. Maaß.
    Sparsity regularization for parameter identification problems.
    Inverse Problems, 123001 28(12), IOPscience, 2012.

    Ausgezeichnet als Highlight Paper

    DOI: 10.1088/0266-5611/28/12/123001

Tagungsbeiträge (1)

1. I. Chernyavsky, F. Alexandrov, P. Maaß.
   A Two-Step Soft Segmentation Procedure for MALDI Imaging Mass Spectrometry Data.
   German Conference on Bioinformatics 2012.
   

   DOI: 10.4230/OASIcs.GCB.2012.39

Qualifikationsarbeiten (1)

1. Q. M. Pham.
   Sparsity constraints and regularization for nonlinear inverse problems .
   Dissertationsschrift, Universität Bremen, 2012.

   online unter: Elektronische Bibliothek der Universität Bremen