Tim W. Nattkemper

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 16

Top Topics

Environmental Data

Active Learning

Arabidopsis Thaliana

Interactive Visualization

Top Venues

Publications

Konstantinos Tzanakis, Tim W. Nattkemper, Karsten Niehaus, Stefan P. Albaum
MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. BMC Bioinform. 23 (1) (2022)
Mingkun Tan, Daniel Langenkämper, Tim W. Nattkemper
The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects. Sensors 22 (14) (2022)
Torben Möller, Tim W. Nattkemper
ALMI - A Generic Active Learning System for Computational Object Classification in Marine Observation Images. Sensors 21 (4) (2021)
Karsten Wüllems, Tim W. Nattkemper
SoRC - Evaluation of Computational Molecular Co-Localization Analysis in Mass Spectrometry Images. CoRR (2020)
Martin Zurowietz, Tim W. Nattkemper
Unsupervised Knowledge Transfer for Object Detection in Marine Environmental Monitoring and Exploration. IEEE Access 8 (2020)
Martin Zurowietz, Tim W. Nattkemper
An Interactive Visualization for Feature Localization in Deep Neural Networks. Frontiers Artif. Intell. 3 (2020)
Karsten Wüllems, Jan Kölling, Hanna Bednarz, Karsten Niehaus, Volkmar H. Hans, Tim W. Nattkemper
Detection and visualization of communities in mass spectrometry imaging data. BMC Bioinform. 20 (1) (2019)
Georges Hattab, Tim W. Nattkemper
SeeVis - 3D space-time cube rendering for visualization of microfluidics image data. Bioinform. 35 (10) (2019)
Daniel Langenkämper, Robin van Kevelaer, Tim W. Nattkemper
Strategies for Tackling the Class Imbalance Problem in Marine Image Classification. CVAUI/IWCF/MIPPSNA@ICPR (2018)
Ingunn Nilssen, Torben Möller, Tim W. Nattkemper
Active Learning for the Classification of Species in Underwater Images from a Fixed Observatory. ICCV Workshops (2017)
Torben Möller, Ingunn Nilssen, Tim W. Nattkemper
Data-Driven Long Term Change Analysis in Marine Observatory Image Streams. CVAUI@ICPR (2016)
Daniel Langenkämper, Tim W. Nattkemper
COATL - a learning architecture for online real-time detection and classification assistance for environmental data. ICPR (2016)
Torben Möller, Ingunn Nilssen, Tim W. Nattkemper
Change detection in marine observatory image streams using Bi-Domain Feature Clustering. ICPR (2016)
Benedikt G. Brink, Annica Seidel, Nils Kleinbölting, Tim W. Nattkemper, Stefan P. Albaum
Omics Fusion - A Platform for Integrative Analysis of Omics Data. J. Integr. Bioinform. 13 (4) (2016)
Jonas Osterloff, Ingunn Nilssen, Johanna Jarnegren, Pål Buhl-Mortensen, Tim W. Nattkemper
Polyp Activity Estimation and Monitoring for Cold Water Corals with a Deep Learning Approach. CVAUI@ICPR (2016)
Shan-e-Ahmed Raza, Daniel Langenkämper, Korsuk Sirinukunwattana, David B. A. Epstein, Tim W. Nattkemper, Nasir M. Rajpoot
Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Min. 9 (2016)
Daniel Langenkämper, Alexander Goesmann, Tim W. Nattkemper
AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization. BMC Bioinform. 15 (2014)
Timm Schoening, Thomas Kuhn, Tim W. Nattkemper
Seabed Classification Using a Bag-of-Prototypes Feature Representation. CVAUI@ICPR (2014)
Jonas Osterloff, Timm Schoening, Melanie Bergmann, Jennifer M. Durden, Henry A. Ruhl, Tim W. Nattkemper
Ranking Color Correction Algorithms Using Cluster Indices. CVAUI@ICPR (2014)
Magnus Rathke, Jan Kölling, Tim W. Nattkemper
Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering. GCB (2014)
Claudia Rubiano, Thomas Merkle, Tim W. Nattkemper
Using a Random Forest Classifier to Find Nuclear Export Signals in Proteins of Arabidopsis thaliana. BIOINFORMATICS (2013)
Nikolas Kessler, Heiko Neuweger, Anja Bonte, Georg Langenkämper, Karsten Niehaus, Tim W. Nattkemper, Alexander Goesmann
MeltDB 2.0-advances of the metabolomics software system. Bioinform. 29 (19) (2013)
Tim W. Nattkemper
Are we Ready for Science 2.0?. KMIS (2012)
Jan Kölling, Magnus Rathke, Dominic Gardner, Tim W. Nattkemper, Sylvie Abouna, Michael Khan
Analyzing multi-tag bioimages with BioIMAX colocation mining tools. ISBI (2012)
Jan Kölling, Daniel Langenkämper, Sylvie Abouna, Michael Khan, Tim W. Nattkemper
WHIDE - a web tool for visual data mining colocation patterns in multivariate bioimages. Bioinform. 28 (8) (2012)
Christian W. Martin, Anika Tauchen, Anke Becker, Tim W. Nattkemper
A Normalized Tree Index for identification of correlated clinical parameters in microarray experiments. BioData Min. 4 (2011)
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)
Christian Loyek, Jan Kölling, Daniel Langenkämper, Karsten Niehaus, Tim W. Nattkemper
A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. IDA (2011)
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)
Christian Loyek, Nasir M. Rajpoot, Michael Khan, Tim W. Nattkemper
BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data. BMC Bioinform. 12 (2011)
Alexandra Scherbart, Tim W. Nattkemper
Looking inside self-organizing map ensembles with resampling and negative correlation learning. Neural Networks 24 (1) (2011)
Julia Herold, Christian Loyek, Tim W. Nattkemper
Multivariate image mining. WIREs Data Mining Knowl. Discov. 1 (1) (2011)
Julia Herold, Luxian Zhou, Sylvie Abouna, Stella Pelengaris, David B. A. Epstein, Michael Khan, Tim W. Nattkemper
Integrating semantic annotation and information visualization for the analysis of multichannel fluorescence micrographs from pancreatic tissue. Comput. Medical Imaging Graph. 34 (6) (2010)
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 Bioinform. 10 (2009)
Axel Saalbach, Oliver Lange, Tim W. Nattkemper, Anke Meyer-Baese
On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data. Biomed. Signal Process. Control. 4 (3) (2009)
Timm Schoening, Nils Ehnert, Jörg Ontrup, Tim W. Nattkemper
BIIGLE Tools - A Web 2.0 Approach for Visual Bioimage Database Mining. IV (2009)
Julia Herold, Sylvie Abouna, Luxian Zhou, Stella Pelengaris, David B. A. Epstein, Michael Khan, Tim W. Nattkemper
A way toward analyzing high-content bioimage data by means of semantic annotation and visual data mining. Medical Imaging: Image Processing (2009)
Stefan P. Albaum, Heiko Neuweger, Benjamin Fränzel, Sita Lange, Dominik Mertens, Christian Trötschel, Dirk Wolters, Jörn Kalinowski, Tim W. Nattkemper, Alexander Goesmann
Qupe - a Rich Internet Application to take a step forward in the analysis of mass spectrometry-based quantitative proteomics experiments. Bioinform. 25 (23) (2009)
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)
Julia Herold, Manuela Friedenberger, Marcus Bode, Nasir M. Rajpoot, Walter Schubert, Tim W. Nattkemper
Flexible synapse detection in fluorescence micrographs by modeling human expert grading. ISBI (2008)
Christian Martin, Tim W. Nattkemper
A Tree Index to Support Clustering Based Exploratory Data Analysis. BIRD (2008)
Thorsten Twellmann, Anke Meyer-Bäse, Oliver Lange, Simon Y. Foo, Tim W. Nattkemper
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. Eng. Appl. Artif. Intell. 21 (2) (2008)
Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. ICONIP (1) (2008)
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) (2008)
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 Bioinform. 9 (2008)
Christian Loyek, Friedrich G. Woermann, Tim W. Nattkemper
Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features. Bildverarbeitung für die Medizin (2008)
Alexandra Scherbart, Tim W. Nattkemper
The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method. ICONIP (2) (2008)
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)
Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper
Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping. ICANN (2) (2007)
Birgit Lessmann, Tim W. Nattkemper, Volkmar H. Hans, Andreas Degenhard
A method for linking computed image features to histological semantics in neuropathology. J. Biomed. Informatics 40 (6) (2007)
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)
Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
ISOLLE: LLE with geodesic distance. Neurocomputing 69 (13-15) (2006)
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)
Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
Histologic characterization of DCE-MRI breast tumors with dimensional data reduction. Medical Imaging: Image Processing (2006)
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) (2006)
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)
Christian Martin, Harmen grosse Deters, Tim W. Nattkemper
Fusing Biomedical Multi-modal Data for Exploratory Data Analysis. ICANN (2) (2006)
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)
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)
Tim W. Nattkemper, Axel Wismüller
Tumor feature visualization with unsupervised learning. Medical Image Anal. 9 (4) (2005)
Claudio Varini, Andreas Degenhard, Tim W. Nattkemper
ISOLLE: Locally Linear Embedding with Geodesic Distance. PKDD (2005)
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)
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) (2005)
Axel Saalbach, Jörg Ontrup, Helge J. Ritter, Tim W. Nattkemper
Image fusion based on topographic mappings using the hyperbolic space. Inf. Vis. 4 (3) (2005)
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. Artif. Intell. Medicine 34 (2) (2005)
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)
Tim W. Nattkemper
Automatic segmentation of digital micrographs: A survey. MedInfo (2004)
Tim W. Nattkemper
Multivariate image analysis in biomedicine. J. Biomed. Informatics 37 (5) (2004)
Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Mark White, Michael Khazen, Martin O. Leach
Visualization of multivariate image data using image fusion and perceptually optimized color scales based on sRGB. Medical Imaging: Image-Guided Procedures (2004)
Tim W. Nattkemper, Thorsten Twellmann, Helge J. Ritter, Walter Schubert
Human vs. machine: evaluation of fluorescence micrographs. Comput. Biol. Medicine 33 (1) (2003)
Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter
A neural network architecture for automatic segmentation of fluorescence micrographs. Neurocomputing 48 (1-4) (2002)
Tim W. Nattkemper, Helge J. Ritter, Walter Schubert
A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections. IEEE Trans. Inf. Technol. Biomed. 5 (2) (2001)
Tanja Kämpfe, Tim W. Nattkemper, Helge J. Ritter
Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification. DAGM-Symposium (2001)
Tim W. Nattkemper, Heiko Wersing, Helge J. Ritter, Walter Schubert
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding. IJCNN (1) (2000)
Tim W. Nattkemper, Heiko Wersing, Walter Schubert, Helge J. Ritter
A neural network architecture for automatic segmentation of fluorescence micrographs. ESANN (2000)