| 2009 | ||
|---|---|---|
| 30 | Timm Schoening, Nils Ehnert, Jörg Ontrup, Tim W. Nattkemper: BIIGLE Tools - A Web 2.0 Approach for Visual Bioimage Database Mining. IV 2009: 51-56 | |
| 29 | Naryttza N. Diaz, Lutz Krause, Alexander Goesmann, Karsten Niehaus, Tim W. Nattkemper: TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach. BMC Bioinformatics 10: (2009) | |
| 2008 | ||
| 28 | Julia Herold, Sylvie Abouna, Luxian Zhou, Stella Pelengaris, David Bernard Alper Epstein, Michael Khan, Tim W. Nattkemper: A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages. BIBE 2008: 1-6 | |
| 27 | Christian Martin, Tim W. Nattkemper: A Tree Index to Support Clustering Based Exploratory Data Analysis. BIRD 2008: 1-15 | |
| 26 | Christian Loyek, Friedrich G. Woermann, Tim W. Nattkemper: Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features. Bildverarbeitung für die Medizin 2008: 432-436 | |
| 25 | Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper: Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. ICONIP (1) 2008: 513-520 | |
| 24 | Alexandra Scherbart, Tim W. Nattkemper: The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method. ICONIP (2) 2008: 911-918 | |
| 23 | Julia Herold, Manuela Friedenberger, Marcus Bode, Nasir Rajpoot, Walter Schubert, Tim W. Nattkemper: Flexible synapse detection in fluorescence micrographs by modeling human expert grading. ISBI 2008: 1347-1350 | |
| 22 | Ning Wei, Erwin Flaschel, Karl Friehs, Tim W. Nattkemper: A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification. BMC Bioinformatics 9: (2008) | |
| 21 | Wiebke Timm, Alexandra Scherbart, Sebastian Böcker, Oliver Kohlbacher, Tim W. Nattkemper: Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics. BMC Bioinformatics 9: (2008) | |
| 20 | Christian Martin, Naryttza N. Diaz, Jörg Ontrup, Tim W. Nattkemper: Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification. Bioinformatics 24(14): 1568-1574 (2008) | |
| 2007 | ||
| 19 | Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper: Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping. ICANN (2) 2007: 90-99 | |
| 18 | Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, Andreas Degenhard: A method for linking computed image features to histological semantics in neuropathology. Journal of Biomedical Informatics 40(6): 631-641 (2007) | |
| 2006 | ||
| 17 | Birgit Lessmann, Tim W. Nattkemper, Johannes Huth, Christian Loyek, Preminda Kessar, Michael Khazen, Linda Pointon, Martin O. Leach, Andreas Degenhard: Content Based Image Retrieval for Dynamic Time Series Data. Bildverarbeitung für die Medizin 2006: 61-65 | |
| 16 | Claudio Varini, Birgit Lessmann, Andreas Degenhard, Volkmar Hans, Tim W. Nattkemper: Visual Exploration of Pathology Images by a Discrete Wavelet Transform Preprocessed Locally Linear Embedding. Bildverarbeitung für die Medizin 2006: 66-70 | |
| 15 | Christian Martin, Harmen grosse Deters, Tim W. Nattkemper: Fusing Biomedical Multi-modal Data for Exploratory Data Analysis. ICANN (2) 2006: 798-807 | |
| 14 | Claudio Varini, Andreas Degenhard, Tim W. Nattkemper: ISOLLE: LLE with geodesic distance. Neurocomputing 69(13-15): 1768-1771 (2006) | |
| 2005 | ||
| 13 | Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Axel Wismüller, Jörg Ontrup, Helge Ritter: A Hyperbolic Topographic Mapping for Proximity Data. Artificial Intelligence and Applications 2005: 106-111 | |
| 12 | Thorsten Twellmann, Oliver Lichte, Axel Saalbach, Axel Wismüller, Tim W. Nattkemper: An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. Bildverarbeitung für die Medizin 2005: 312-316 | |
| 11 | 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. ICANN (1) 2005: 671-676 | |
| 10 | Claudio Varini, Andreas Degenhard, Tim W. Nattkemper: ISOLLE: Locally Linear Embedding with Geodesic Distance. PKDD 2005: 331-342 | |
| 9 | 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. Artificial Intelligence in Medicine 34(2): 129-139 (2005) | |
| 8 | Thorsten Twellmann, Oliver Lichte, Tim W. Nattkemper: An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data. IEEE Trans. Med. Imaging 24(10): 1256-1266 (2005) | |
| 7 | Axel Saalbach, Jörg Ontrup, Helge Ritter, Tim W. Nattkemper: Image fusion based on topographic mappings using the hyperbolic space. Information Visualization 4(3): 266-275 (2005) | |
| 2004 | ||
| 6 | Tim W. Nattkemper: Multivariate image analysis in biomedicine. Journal of Biomedical Informatics 37(5): 380-391 (2004) | |
| 2002 | ||
| 5 | Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter: A neural network architecture for automatic segmentation of fluorescence micrographs. Neurocomputing 48(1-4): 357-367 (2002) | |
| 2001 | ||
| 4 | Tanja Kämpfe, Tim W. Nattkemper, Helge Ritter: Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification. DAGM-Symposium 2001: 262-268 | |
| 3 | Tim W. Nattkemper, Helge Ritter, Walter Schubert: A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections. IEEE Transactions on Information Technology in Biomedicine 5(2): 138-149 (2001) | |
| 2000 | ||
| 2 | Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter: A neural network architecture for automatic segmentation of fluorescence micrographs. ESANN 2000: 177-182 | |
| 1 | Tim W. Nattkemper, Heiko Wersing, Helge Ritter, Walter Schubert: Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. IJCNN (1) 2000: 348-353 | |