7 Publikationen

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  • [7]
    2012 | Bielefelder E-Dissertation | PUB-ID: 2546967 OA
    Loyek, C. (2012). BioIMAX : a Web2.0 approach to visual data mining in bioimage data. Bielefeld: Universität Bielefeld.
    PUB | PDF
     
  • [6]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2300114
    Loyek, C., Bunkowski, A., Vautz, W., & Nattkemper, T. W. (2011). Web2.0 paves new ways for collaborative and exploratory analysis of Chemical Compounds in Spectrometry Data. Journal of Integrative Bioinformatics, 8(2), 158. https://doi.org/10.2390/biecoll-jib-2011-158
    PUB | DOI | PubMed | Europe PMC
     
  • [5]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2300082 OA
    Loyek, C., Khan, M., Rajpoot, N., & Nattkemper, T. W. (2011). BIOIMAX - A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data. BMC Bioinformatics, 12(1), 297. https://doi.org/10.1186/1471-2105-12-297
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [4]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300232 OA
    Loyek, C., Kölling, J., Langenkämper, D., Niehaus, K., & Nattkemper, T. W. (2011). A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. In J. Gama, E. Bradley, & J. Hollmén (Eds.), Lecture Notes in Computer Science: Vol. 7014. Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings (pp. 258-269). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-24800-9_25
    PUB | PDF | DOI
     
  • [3]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2373808
    Herold, J., Loyek, C., & Nattkemper, T. W. (2011). Multivariate Image Mining. Wiley Interdisciplinary Reviews: DATA MINING AND KNOWLEDGE DISCOVERY, 1(1), 2-13. https://doi.org/10.1002/widm.4
    PUB | DOI | WoS
     
  • [2]
    2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018405
    Loyek, C., Woermann, F. G., & Nattkemper, T. W. (2008). Detection of Focal Cortical Dysplasia in MRI Using Textural Features. In T. Tolxdorff (Ed.), Informatik aktuell. Proceedings of BVM 2008 (pp. 432-436). Berlin, Heidelberg: Springer Verlag. https://doi.org/10.1007/978-3-540-78640-5_87
    PUB | DOI
     
  • [1]
    2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2374254
    Lessmann, B., Nattkemper, T. W., Huth, J., Loyek, C., Kessar, P., Khazen, M., Pointon, L., et al. (2006). Content Based Image Retrieval for Dynamic Time Series Data. Proceedings of BVM, 61-65
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