Tim W. Nattkemper

2008
24	EE	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
23	EE	Christian Martin, Tim W. Nattkemper: A Tree Index to Support Clustering Based Exploratory Data Analysis. BIRD 2008: 1-15
22	EE	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
21	EE	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
20	EE	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	EE	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	EE	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	EE	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	EE	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	EE	Christian Martin, Harmen grosse Deters, Tim W. Nattkemper: Fusing Biomedical Multi-modal Data for Exploratory Data Analysis. ICANN (2) 2006: 798-807
14	EE	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	EE	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	EE	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	EE	Claudio Varini, Andreas Degenhard, Tim W. Nattkemper: ISOLLE: Locally Linear Embedding with Geodesic Distance. PKDD 2005: 331-342
9	EE	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	EE	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	EE	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	EE	Tim W. Nattkemper: Multivariate image analysis in biomedicine. Journal of Biomedical Informatics 37(5): 380-391 (2004)
2002
5	EE	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	EE	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	EE	Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge Ritter: A neural network architecture for automatic segmentation of fluorescence micrographs. ESANN 2000: 177-182
1	EE	Tim W. Nattkemper, Heiko Wersing, Helge Ritter, Walter Schubert: Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. IJCNN (1) 2000: 348-353

Coauthor Index

1	Sylvie Abouna	[24]
2	Bert Arnrich	[9]
3	Sebastian Böcker	[19]
4	Marcus Bode	[21]
5	Andreas Degenhard	[9] [10] [11] [14] [16] [17] [18]
6	Harmen grosse Deters	[15]
7	Naryttza N. Diaz	[20]
8	David Bernard Alper Epstein	[24]
9	Manuela Friedenberger	[21]
10	V. H. Hans	[18]
11	Volkmar Hans	[16]
12	Carmel Hayes	[9]
13	Julia Herold	[21] [24]
14	Johannes Huth	[17]
15	Tanja Kämpfe	[4]
16	Preminda Kessar	[11] [17]
17	Michael Khan	[24]
18	Michael Khazen	[11] [17]
19	Martin O. Leach	[9] [11] [17]
20	Birgit Lessmann	[11] [16] [17] [18]
21	Oliver Lichte	[8] [9] [12]
22	Christian Loyek	[17] [22]
23	Christian Martin	[15] [20] [23]
24	Jörg Ontrup	[7] [13] [20]
25	Stella Pelengaris	[24]
26	Linda Pointon	[9] [11] [17]
27	Nasir Rajpoot (Nasir M. Rajpoot)	[21]
28	Helge Ritter	[1] [2] [3] [4] [5] [7] [13]
29	Axel Saalbach	[7] [12] [13]
30	Alexandra Scherbart	[19]
31	Walter Schubert	[1] [2] [3] [5] [21]
32	Wiebke Timm	[9] [19]
33	Thorsten Twellmann	[8] [12] [13]
34	Claudio Varini	[10] [14] [16]
35	Heiko Wersing	[1] [2] [5]
36	Axel Wismüller	[12] [13]
37	Friedrich G. Woermann	[22]
38	Luxian Zhou	[24]