| 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 | 345 | 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 | 249 | 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 | 147 | 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 | 117 | 2012 |
| 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 | 112 | 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 | 111 | 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 | 99 | 2005 |
| 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 | 98 | 2016 |
| 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 | 94 | 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 | 89 | 2009 |
| 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 | 87 | 2003 |
| 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 | 84 | 2013 |
| 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 | 83 | 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 | 79 | 2008 |
| 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 | 69 | 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 | 68 | 2021 |
| 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 | 65 | 2007 |
| Automatic segmentation of digital micrographs: A survey TW Nattkemper MEDINFO 2004, 847-851, 2004 | 64 | 2004 |
| 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 | 61 | 2004 |
| 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 | 60 | 2016 |
Dr. Timm SchoeningGEOMARBestätigte E-Mail-Adresse bei geomar.de
