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Tim W. Nattkemper: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Axel Wismüller, Jörg Ontrup, Helge Ritter
    A Hyperbolic Topographic Mapping for Proximity Data. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2005, pp:106-111 [Conf]
  2. Tanja Kämpfe, Tim W. Nattkemper, Helge Ritter
    Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2001, pp:262-268 [Conf]
  3. Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter
    A neural network architecture for automatic segmentation of fluorescence micrographs. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:177-182 [Conf]
  4. Birgit Lessmann, Andreas Degenhard, Preminda Kessar, Linda Pointon, Michael Khazen, Martin O. Leach, Tim W. Nattkemper
    SOM-Based Wavelet Filtering for the Exploration of Medical Images. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:671-676 [Conf]
  5. Christian Martin, Harmen grosse Deters, Tim W. Nattkemper
    Fusing Biomedical Multi-modal Data for Exploratory Data Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:798-807 [Conf]
  6. Tim W. Nattkemper, Heiko Wersing, Helge Ritter, Walter Schubert
    Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:348-353 [Conf]
  7. Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
    ISOLLE: Locally Linear Embedding with Geodesic Distance. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:331-342 [Conf]
  8. Tim W. Nattkemper, Bert Arnrich, Oliver Lichte, Wiebke Timm, Andreas Degenhard, Linda Pointon, Carmel Hayes, Martin O. Leach
    The UK MARIBS Breast Screening Study: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:34, n:2, pp:129-139 [Journal]
  9. Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter
    A neural network architecture for automatic segmentation of fluorescence micrographs. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:357-367 [Journal]
  10. Axel Saalbach, Jörg Ontrup, Helge Ritter, Tim W. Nattkemper
    Image fusion based on topographic mappings using the hyperbolic space. [Citation Graph (0, 0)][DBLP]
    Information Visualization, 2005, v:4, n:3, pp:266-275 [Journal]
  11. Tim W. Nattkemper
    Multivariate image analysis in biomedicine. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2004, v:37, n:5, pp:380-391 [Journal]
  12. Tim W. Nattkemper, Helge Ritter, Walter Schubert
    A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Technology in Biomedicine, 2001, v:5, n:2, pp:138-149 [Journal]
  13. Thorsten Twellmann, Oliver Lichte, Tim W. Nattkemper
    An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:10, pp:1256-1266 [Journal]
  14. Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper
    Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:90-99 [Conf]
  15. Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
    ISOLLE: LLE with geodesic distance. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:13-15, pp:1768-1771 [Journal]

  16. A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages. [Citation Graph (, )][DBLP]


  17. An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. [Citation Graph (, )][DBLP]


  18. Visual Exploration of Pathology Images by a Discrete Wavelet Transform Preprocessed Locally Linear Embedding. [Citation Graph (, )][DBLP]


  19. Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features. [Citation Graph (, )][DBLP]


  20. Content Based Image Retrieval for Dynamic Time Series Data. [Citation Graph (, )][DBLP]


  21. Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. [Citation Graph (, )][DBLP]


  22. The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method. [Citation Graph (, )][DBLP]


  23. Flexible synapse detection in fluorescence micrographs by modeling human expert grading. [Citation Graph (, )][DBLP]


  24. BIIGLE Tools - A Web 2.0 Approach for Visual Bioimage Database Mining. [Citation Graph (, )][DBLP]


  25. A Tree Index to Support Clustering Based Exploratory Data Analysis. [Citation Graph (, )][DBLP]


  26. Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification. [Citation Graph (, )][DBLP]


  27. Qupe - a Rich Internet Application to take a step forward in the analysis of mass spectrometry-based quantitative proteomics experiments. [Citation Graph (, )][DBLP]


  28. Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics. [Citation Graph (, )][DBLP]


  29. A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification. [Citation Graph (, )][DBLP]


  30. TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach. [Citation Graph (, )][DBLP]


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