AKE - The Accelerated k-mer Exploration Web-Tool for Rapid Taxonomic Classification and Visualization
Langenkämper, Daniel ; Goesmann, Alexander ; Nattkemper, Tim WilhelmIn: BMC Bioinformatics, Jg. 15 H. 1ALLocator: An Interactive Web Platform for the Analysis of Metabolomic LC-ESI-MS Datasets, Enabling Semi-Automated, User-Revised Compound Annotation and [...]
Kessler, Nikolas ; Walter, Frederik ; Persicke, Marcus ; Albaum, Stefan ; Kalinowski, Jörn ; Goesmann, Alexander ; Niehaus, Karsten ; Nattkemper, Tim WilhelmIn: PLoS ONE, Jg. 9 H. 11ALMI - A Generic Active Learning System for Computational Object Classification in Marine Observation Images
Möller, Torben ; Nattkemper, Tim WilhelmIn: Sensors, Jg. 21 H. 4An Interactive Visualization for Feature Localization in Deep Neural Networks
Zurowietz, Martin ; Nattkemper, Tim WilhelmIn: Frontiers in Artificial Intelligence - Machine Learning and Artificial Intelligence, Jg. 3BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections
Langenkämper, Daniel ; Zurowietz, Martin ; Schoening, Timm ; Nattkemper, Tim WilhelmIn: Frontiers in Marine Science, Jg. 4 H. MarchBIOIMAX - A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data
Loyek, Christian ; Khan, Michael ; Rajpoot, Nasir ; Nattkemper, Tim WilhelmIn: BMC Bioinformatics, Jg. 12 H. 1Computational Visual Stress Level Analysis of Calcareous Algae Exposed to Sedimentation
Osterloff, Jonas ; Nilssen, Ingunn ; Eide, Ingvar ; de Oliveira Figueiredo, Marcia Abreu ; de Souza Tâmega, Frederico Tapajós ; Nattkemper, Tim WilhelmIn: PLOS ONE, Jg. 11 H. 6Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory.
Osterloff, Jonas ; Nilssen, Ingunn ; Jarnegren, Johanna ; Van Engeland, Tom ; Buhl-Mortensen, Pal ; Nattkemper, Tim WilhelmIn: Scientific reports, Jg. 9 H. 1Current Trends and Future Directions of Large Scale Image and Video Annotation: Observations From Four Years of BIIGLE 2.0
Zurowietz, Martin ; Nattkemper, Tim WilhelmIn: Frontiers in Marine Science, Jg. 8DELPHI - fast and adaptive computational laser point detection and visual footprint quantification for arbitrary underwater image collections
Schoening, Timm ; Kuhn, Thomas ; Bergmann, Melanie ; Nattkemper, Tim WilhelmIn: Frontiers in Marine Science, Jg. 2Detection and visualization of communities in mass spectrometry imaging data.
Wüllems, Karsten ; Kölling, Jan ; Bednarz, Hanna ; Niehaus, Karsten ; Hans, Volkmar H. ; Nattkemper, Tim WilhelmIn: BMC Bioinformatics, Jg. 20 H. 1Fast Visual Exploration of Mass Spectrometry Images with Interactive Dynamic Spectral Similarity Pseudocoloring
Wüllems, Karsten ; Zurowietz, Annika ; Zurowietz, Martin ; Schneider, Roland ; Bednarz, Hanna ; Niehaus, Karsten ; Nattkemper, Tim WilhelmIn: Scientific Reports, Jg. 11Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification
Langenkämper, Daniel ; van Kevelaer, Robin ; Purser, Autun ; Nattkemper, Tim WilhelmIn: Frontiers in Marine Science, Jg. 7GISMO - gene identification using a support vector machine for ORF classification
Krause, Lutz ; McHardy, Alice C. ; Nattkemper, Tim Wilhelm ; Pühler, Alfred ; Stoye, Jens ; Meyer, FolkerIn: Nucleic Acids Research, Jg. 35 H. 2, S. 540-549A guide through the computational analysis of isotope-labeled mass spectrometry-based quantitative proteomics data: an application study
Albaum, Stefan ; Hahne, H. ; Otto, A. ; Haußmann, U. ; Becher, D. ; Poetsch, A. ; Goesmann, Alexander ; Nattkemper, Tim WilhelmIn: Proteome Science, Jg. 9 H. 1Image fusion for dynamic contrast enhanced magnetic resonance imaging
Twellmann, Thorsten ; Saalbach, Axel ; Gerstung, Olaf ; Leach, Martin O ; Nattkemper, Tim WilhelmIn: Biomed Eng Online, Jg. 3 H. 1Learning to classify organic and conventional wheat - a machine-learning driven approach using the MeltDB 2.0 metabolomics analysis platform
Kessler, Nikolas ; Bonte, Anja ; Albaum, Stefan ; Mäder, Paul ; Messmer, Monika ; Goesmann, Alexander ; Niehaus, Karsten ; Langenkämper, Georg ; Nattkemper, Tim WilhelmIn: Frontiers in Bioinformatics and Computational Biology, Jg. 3A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classificati [...]
Wei, Ning ; Flaschel, Erwin ; Friehs, Karl ; Nattkemper, Tim WilhelmIn: BMC Bioinformatics, Jg. 9 H. 1, S. 449 ff.MAIA - A machine learning assisted image annotation method for environmental monitoring and exploration
Zurowietz, Martin ; Langenkämper, Daniel ; Hosking, Brett ; Ruhl, Henry ; Nattkemper, Tim WilhelmIn: PLoS ONE, Jg. 13 H. 11A Normalized Tree Index for identification of correlated clinical parameters in microarray data
Martin, Christian ; Tauchen, Annika ; Becker, Anke ; Nattkemper, Tim WilhelmIn: BioData Mining, Jg. 4 H. 1