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Tim W. Nattkemper
Tim W. Nattkemper
Professor of Computer Science, Bielefeld University
Bestätigte E-Mail-Adresse bei uni-bielefeld.de
Titel
Zitiert von
Zitiert von
Jahr
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
3452008
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
2492009
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
1472017
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
1172012
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
1122006
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
1112001
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
992005
Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding
JM Durden, T Schoening, F Althaus, A Friedman, R García Campos, ...
Hughes, RN, Hughes, DJ, Smith, IP, Dale, AC Oceanography and Marine Biology …, 2016
982016
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
942005
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
892009
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
872003
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
842013
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
832002
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
792008
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
692016
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
682021
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
652007
Automatic segmentation of digital micrographs: A survey
TW Nattkemper
MEDINFO 2004, 847-851, 2004
642004
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
612004
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
602016
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