Tim W. Nattkemper
Tim W. Nattkemper
Professor of Computer Science, Bielefeld University
Verified email at
Cited by
Cited by
Phylogenetic classification of short environmental DNA fragments
L Krause, NN Diaz, A Goesmann, S Kelley, TW Nattkemper, F Rohwer, ...
Nucleic acids research 36 (7), 2230-2239, 2008
TACOA–Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach
NN Diaz, L Krause, A Goesmann, K Niehaus, TW Nattkemper
BMC Bioinformatics 10 (1), 56, 2009
BIIGLE 2.0-browsing and annotating large marine image collections
D Langenkämper, M Zurowietz, T Schoening, TW Nattkemper
Frontiers in Marine Science 4, 83, 2017
Semi-automated image analysis for the assessment of megafaunal densities at the Arctic deep-sea observatory HAUSGARTEN
T Schoening, M Bergmann, J Ontrup, J Taylor, J Dannheim, J Gutt, ...
PloS one 7 (6), e38179, 2012
Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding
JM Durden, T Schoening, F Althaus, A Friedman, R Garcia, AG Glover, ...
Oceanography and Marine Biology, 9-80, 2016
The quest for seafloor macrolitter: a critical review of background knowledge, current methods and future prospects
M Canals, CK Pham, M Bergmann, L Gutow, G Hanke, E Van Sebille, ...
Environmental Research Letters 16 (2), 023001, 2021
Construction of a Large Signature-Tagged Mini-Tn5 Transposon Library and Its Application to Mutagenesis of Sinorhizobium meliloti
N Pobigaylo, D Wetter, S Szymczak, U Schiller, S Kurtz, F Meyer, ...
Applied and environmental microbiology 72 (6), 4329-4337, 2006
A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections
TW Nattkemper, HJ Ritter, W Schubert
IEEE Transactions on Information Technology in Biomedicine 5 (2), 138-149, 2001
An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data
T Twellmann, O Lichte, TW Nattkemper
IEEE Transactions on medical imaging 24 (10), 1256-1266, 2005
Use of machine-learning algorithms for the automated detection of cold-water coral habitats: a pilot study
A Purser, M Bergmann, T Lundälv, J Ontrup, TW Nattkemper
Marine Ecology progress Series (MEPS) 241, 2009
Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods
TW Nattkemper, B Arnrich, O Lichte, W Timm, A Degenhard, L Pointon, ...
Artificial intelligence in medicine 34 (2), 129-139, 2005
MeltDB 2.0–advances of the metabolomics software system
N Kessler, H Neuweger, A Bonte, G Langenkämper, K Niehaus, ...
Bioinformatics 29 (19), 2452-2459, 2013
Human vs. machine: evaluation of fluorescence micrographs
TW Nattkemper, T Twellmann, H Ritter, W Schubert
Computers in biology and medicine 33 (1), 31-43, 2003
Current and future trends in marine image annotation software
JN Gomes-Pereira, V Auger, K Beisiegel, R Benjamin, M Bergmann, ...
Progress in Oceanography 149, 106-120, 2016
A neural network architecture for automatic segmentation of fluorescence micrographs
TW Nattkemper, H Wersing, W Schubert, H Ritter
Neurocomputing 48 (1-4), 357-367, 2002
Identification of Genes Relevant to Symbiosis and Competitiveness in Sinorhizobium meliloti Using Signature-Tagged Mutants
N Pobigaylo, S Szymczak, TW Nattkemper, A Becker
Molecular plant-microbe interactions 21 (2), 219-231, 2008
Comparison of image annotation data generated by multiple investigators for benthic ecology
JM Durden, BJ Bett, T Schoening, KJ Morris, TW Nattkemper, HA Ruhl
Marine Ecology Progress Series 552, 61-70, 2016
GISMO—gene identification using a support vector machine for ORF classification
L Krause, AC McHardy, TW Nattkemper, A Pühler, J Stoye, F Meyer
Nucleic acids research 35 (2), 540-549, 2007
Detection of suspicious lesions in dynamic contrast enhanced MRI data
T Twellmann, A Saalbach, C Muller, TW Nattkemper, A Wismuller
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
Breast MRI data analysis by LLE
C Varini, TW Nattkemper, A Degenhard, A Wismuller
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
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