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Tim W. Nattkemper
Tim Wilhelm Nattkemper
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- affiliation: Bielefeld University, Center for Biotechnology
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2020 – today
- 2022
- [j36]Konstantinos Tzanakis
, Tim W. Nattkemper
MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. BMC Bioinform. 23(1): 267 (2022) - [j35]Mingkun Tan
The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects. Sensors 22(14): 5383 (2022) - 2021
- [j34]Torben Möller, Tim W. Nattkemper
ALMI - A Generic Active Learning System for Computational Object Classification in Marine Observation Images. Sensors 21(4): 1134 (2021) - 2020
- [j33]Martin Zurowietz
Unsupervised Knowledge Transfer for Object Detection in Marine Environmental Monitoring and Exploration. IEEE Access 8: 143558-143568 (2020) - [j32]Martin Zurowietz
An Interactive Visualization for Feature Localization in Deep Neural Networks. Frontiers Artif. Intell. 3: 49 (2020) - [i1]Karsten Wüllems, Tim W. Nattkemper:
SoRC - Evaluation of Computational Molecular Co-Localization Analysis in Mass Spectrometry Images. CoRR abs/2009.14677 (2020)
2010 – 2019
- 2019
- [j31]Georges Hattab
SeeVis - 3D space-time cube rendering for visualization of microfluidics image data. Bioinform. 35(10): 1802-1804 (2019) - [j30]Karsten Wüllems
Detection and visualization of communities in mass spectrometry imaging data. BMC Bioinform. 20(1): 303:1-303:12 (2019) - 2018
- [c39]Daniel Langenkämper, Robin van Kevelaer, Tim W. Nattkemper:
Strategies for Tackling the Class Imbalance Problem in Marine Image Classification. CVAUI/IWCF/MIPPSNA@ICPR 2018: 26-36 - [c38]Torben Möller, Ingunn Nilssen, Tim Wilhelm Nattkemper
Tracking Sponge Size and Behaviour with Fixed Underwater Observatories. CVAUI/IWCF/MIPPSNA@ICPR 2018: 45-54 - 2017
- [c37]Ingunn Nilssen, Torben Möller, Tim W. Nattkemper:
Active Learning for the Classification of Species in Underwater Images from a Fixed Observatory. ICCV Workshops 2017: 2891-2897 - 2016
- [j29]Shan-E-Ahmed Raza
Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Min. 9: 11 (2016) - [j28]Benedikt G. Brink
Omics Fusion - A Platform for Integrative Analysis of Omics Data. J. Integr. Bioinform. 13(4) (2016) - [c36]Jonas Osterloff, Ingunn Nilssen, Johanna Jarnegren, Pål Buhl-Mortensen
Polyp Activity Estimation and Monitoring for Cold Water Corals with a Deep Learning Approach. CVAUI@ICPR 2016: 1-6 - [c35]Torben Möller, Ingunn Nilssen, Tim W. Nattkemper:
Data-Driven Long Term Change Analysis in Marine Observatory Image Streams. CVAUI@ICPR 2016: 13-18 - [c34]Daniel Langenkämper, Tim W. Nattkemper:
COATL - a learning architecture for online real-time detection and classification assistance for environmental data. ICPR 2016: 597-602 - [c33]Torben Möller, Ingunn Nilssen, Tim W. Nattkemper
Change detection in marine observatory image streams using Bi-Domain Feature Clustering. ICPR 2016: 793-798 - 2014
- [j27]Daniel Langenkämper
AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization. BMC Bioinform. 15: 384 (2014) - [c32]Magnus Rathke, Jan Kölling, Tim W. Nattkemper:
Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering. GCB 2014: 44-53 - [c31]Timm Schoening, Thomas Kuhn, Tim W. Nattkemper
Seabed Classification Using a Bag-of-Prototypes Feature Representation. CVAUI@ICPR 2014: 17-24 - [c30]Jonas Osterloff, Timm Schoening, Melanie Bergmann
Ranking Color Correction Algorithms Using Cluster Indices. CVAUI@ICPR 2014: 41-48 - [e1]Robert Giegerich, Ralf Hofestädt, Tim W. Nattkemper:
German conference on bioinformatics 2014, September 28 - October 1, 2014, Bielefeld, Germany. LNI P-235, GI 2014, ISBN 978-3-88579-629-9 [contents] - 2013
- [j26]Nikolas Kessler, Heiko Neuweger, Anja Bonte
MeltDB 2.0-advances of the metabolomics software system. Bioinform. 29(19): 2452-2459 (2013) - [c29]Claudia Rubiano, Thomas Merkle, Tim W. Nattkemper:
Using a Random Forest Classifier to Find Nuclear Export Signals in Proteins of Arabidopsis thaliana. BIOINFORMATICS 2013: 98-104 - 2012
- [j25]Jan Kölling
WHIDE - a web tool for visual data mining colocation patterns in multivariate bioimages. Bioinform. 28(8): 1143-1150 (2012) - [c28]Tim W. Nattkemper:
Are we Ready for Science 2.0?. KMIS 2012: 302-306 - [c27]Jan Kölling, Magnus Rathke, Dominic Gardner, Tim W. Nattkemper, Sylvie Abouna, Michael Khan:
Analyzing multi-tag bioimages with BioIMAX colocation mining tools. ISBI 2012: 1304-1307 - 2011
- [j24]Christian W. Martin, Anika Tauchen, Anke Becker
A Normalized Tree Index for identification of correlated clinical parameters in microarray experiments. BioData Min. 4: 2 (2011) - [j23]Christian Loyek, Nasir M. Rajpoot
BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data. BMC Bioinform. 12: 297 (2011) - [j22]Christian Loyek, Alexander Bunkowski, Wolfgang Vautz, Tim W. Nattkemper
Web2.0 paves new ways for collaborative and exploratory analysis of chemical compounds in spectrometry data. J. Integr. Bioinform. 8(2) (2011) - [j21]Alexandra Scherbart, Tim W. Nattkemper
Looking inside self-organizing map ensembles with resampling and negative correlation learning. Neural Networks 24(1): 130-141 (2011) - [j20]Julia Herold, Christian Loyek, Tim W. Nattkemper
Multivariate image mining. WIREs Data Mining Knowl. Discov. 1(1): 2-13 (2011) - [c26]Timm Schoening, Volkmar H. Hans, Tim W. Nattkemper
Towards Improved Epilepsia Diagnosis by Unsupervised Segmentation of Neuropathology Tissue Sections using Ripley's-[^(L)]{\rm{\hat L}} Features. Bildverarbeitung für die Medizin 2011: 44-48 - [c25]Christian Loyek, Jan Kölling, Daniel Langenkämper
A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. IDA 2011: 258-269 - 2010
- [j19]Julia Herold, Luxian Zhou, Sylvie Abouna, Stella Pelengaris, David B. A. Epstein, Michael Khan
Integrating semantic annotation and information visualization for the analysis of multichannel fluorescence micrographs from pancreatic tissue. Comput. Medical Imaging Graph. 34(6): 446-452 (2010)
2000 – 2009
- 2009
- [j18]Stefan P. Albaum, Heiko Neuweger, Benjamin Fränzel, Sita Lange, Dominik Mertens, Christian Trötschel
Qupe - a Rich Internet Application to take a step forward in the analysis of mass spectrometry-based quantitative proteomics experiments. Bioinform. 25(23): 3128-3134 (2009) - [j17]Naryttza N. Diaz, Lutz Krause
TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach. BMC Bioinform. 10 (2009) - [j16]Axel Saalbach, Oliver Lange, Tim W. Nattkemper
On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data. Biomed. Signal Process. Control. 4(3): 247-253 (2009) - [c24]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 - [c23]Julia Herold, Sylvie Abouna, Luxian Zhou, Stella Pelengaris, David B. A. Epstein, Michael Khan
A way toward analyzing high-content bioimage data by means of semantic annotation and visual data mining. Medical Imaging: Image Processing 2009: 72591Q - 2008
- [j15]Christian Martin, Naryttza N. Diaz, Jörg Ontrup, Tim W. Nattkemper
Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification. Bioinform. 24(14): 1568-1574 (2008) - [j14]Wiebke Timm, Alexandra Scherbart, Sebastian Böcker
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics. BMC Bioinform. 9 (2008) - [j13]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 Bioinform. 9 (2008) - [j12]Thorsten Twellmann, Anke Meyer-Bäse
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. Eng. Appl. Artif. Intell. 21(2): 129-140 (2008) - [c22]Julia Herold, Sylvie Abouna, Luxian Zhou, Stella Pelengaris, David B. A. Epstein, Michael Khan, Tim W. Nattkemper:
A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages. BIBE 2008: 1-6 - [c21]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 - [c20]Christian Martin, Tim W. Nattkemper
A Tree Index to Support Clustering Based Exploratory Data Analysis. BIRD 2008: 1-15 - [c19]Alexandra Scherbart, Wiebke Timm, Sebastian Böcker
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. ICONIP (1) 2008: 513-520 - [c18]Alexandra Scherbart, Tim W. Nattkemper
The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method. ICONIP (2) 2008: 911-918 - [c17]Julia Herold, Manuela Friedenberger, Marcus Bode, Nasir M. Rajpoot
Flexible synapse detection in fluorescence micrographs by modeling human expert grading. ISBI 2008: 1347-1350 - 2007
- [j11]Birgit Lessmann, Tim W. Nattkemper
A method for linking computed image features to histological semantics in neuropathology. J. Biomed. Informatics 40(6): 631-641 (2007) - [c16]Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper
Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping. ICANN (2) 2007: 90-99 - 2006
- [j10]Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
Visual exploratory analysis of DCE-MRI data in breast cancer by dimensional data reduction: A comparative study. Biomed. Signal Process. Control. 1(1): 56-63 (2006) - [j9]Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
ISOLLE: LLE with geodesic distance. Neurocomputing 69(13-15): 1768-1771 (2006) - [c15]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 - [c14]Claudio Varini, Birgit Lessmann, Andreas Degenhard, Volkmar H. 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 - [c13]Christian Martin, Harmen grosse Deters, Tim W. Nattkemper
Fusing Biomedical Multi-modal Data for Exploratory Data Analysis. ICANN (2) 2006: 798-807 - [c12]Birgit Lessmann, Volkmar H. Hans, Andreas Degenhard, Tim W. Nattkemper
Feature-space exploration of pathology images using content-based database visualization. Medical Imaging: Image Processing 2006: 61445Z - [c11]Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
Histologic characterization of DCE-MRI breast tumors with dimensional data reduction. Medical Imaging: Image Processing 2006: 614462 - 2005
- [j8]Tim W. Nattkemper
The UK MARIBS Breast Screening Study: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods. Artif. Intell. Medicine 34(2): 129-139 (2005) - [j7]Axel Saalbach, Jörg Ontrup, Helge J. Ritter, Tim W. Nattkemper
Image fusion based on topographic mappings using the hyperbolic space. Inf. Vis. 4(3): 266-275 (2005) - [j6]Tim W. Nattkemper
Tumor feature visualization with unsupervised learning. Medical Image Anal. 9(4): 344-351 (2005) - [j5]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. Medical Imaging 24(10): 1256-1266 (2005) - [c10]Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Axel Wismüller, Jörg Ontrup, Helge J. Ritter:
A Hyperbolic Topographic Mapping for Proximity Data. Artificial Intelligence and Applications 2005: 106-111 - [c9]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 - [c8]Birgit Lessmann, Andreas Degenhard, Preminda Kessar, Linda Pointon, Michael Khazen, Martin O. Leach
SOM-Based Wavelet Filtering for the Exploration of Medical Images. ICANN (1) 2005: 671-676 - [c7]Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
ISOLLE: Locally Linear Embedding with Geodesic Distance. PKDD 2005: 331-342 - 2004
- [j4]Tim W. Nattkemper
Multivariate image analysis in biomedicine. J. Biomed. Informatics 37(5): 380-391 (2004) - [c6]Tim W. Nattkemper:
Automatic segmentation of digital micrographs: A survey. MedInfo 2004: 847-851 - [c5]Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper
Visualization of multivariate image data using image fusion and perceptually optimized color scales based on sRGB. Medical Imaging: Image-Guided Procedures 2004 - [c4]Andreas Degenhard, Marc Mutz, Tim W. Nattkemper, Axel Saalbach, Thorsten Twellmann, Mark J. White, Michael Khazen, Linda Pointon, Martin O. Leach
Multiscale entropy analysis in dynamic contrast-enhanced MRI. Medical Imaging: Image Processing 2004 - 2003
- [j3]Tim W. Nattkemper
Human vs. machine: evaluation of fluorescence micrographs. Comput. Biol. Medicine 33(1): 31-43 (2003) - 2002
- [j2]Tim W. Nattkemper
A neural network architecture for automatic segmentation of fluorescence micrographs. Neurocomputing 48(1-4): 357-367 (2002) - 2001
- [j1]Tim W. Nattkemper
A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections. IEEE Trans. Inf. Technol. Biomed. 5(2): 138-149 (2001) - [c3]Tanja Kämpfe, Tim W. Nattkemper, Helge J. Ritter:
Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification. DAGM-Symposium 2001: 262-268 - 2000
- [c2]Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter:
A neural network architecture for automatic segmentation of fluorescence micrographs. ESANN 2000: 177-182 - [c1]Tim W. Nattkemper, Heiko Wersing, Helge J. Ritter, Walter Schubert:
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. IJCNN (1) 2000: 348-353
Coauthor Index
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