31 Publikationen
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981135
R. van Kevelaer, et al., “A data science approach for multi-sensor marine observatory data monitoring cold water corals (Paragorgia arborea) in two campaigns”, PLOS ONE, vol. 18, 2023, : e0282723.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC -
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969165
M. Kloster, et al., “Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint”, PLOS ONE, vol. 18, 2023, : e0272103.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2964556
M. Tan, D. Langenkämper, and T.W. Nattkemper, “The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects”, Sensors, vol. 22, 2022, : 5383.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962701A.W. Momber, et al., “Corrigendum to “A data-based model for condition monitoring and maintenance planning for protective coating systems for wind tower structures” [Renew. Energy 186 (2022) 957–973]”, Renewable Energy , vol. 188, 2022, pp. 1184.PUB | DOI | WoS
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945723
M. Kloster, et al., “Deep learning-based diatom taxonomy on virtual slides”, Scientific Reports, vol. 10, 2020, : 14416.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2948381D. Langenkämper, et al., “Corrigendum: BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections”, Frontiers in Marine Science, vol. 7, 2020, : 617268.PUB | DOI | Download (ext.) | WoS
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935366M. Zurowietz, D. Langenkämper, and T.W. Nattkemper, “BIIGLE2Go - A scalable image annotation system for easy deployment on cruises”, Proceedings of IEEE OCEANS 2019, 2019.PUB | DOI | Download (ext.)
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2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705T. Möller, D. Langenkämper, and T.W. Nattkemper, “Wind turbine segmentation performing kNN-clustering on superpixel segmentations”, Image and Signal Processing for Remote Sensing XXV, L. Bruzzone and F. Bovolo, eds., Image and Signal Processing for Remote Sensing XXV. Proceedings, vol. 11155, In Press.PUB
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066
M. Zurowietz, et al., “MAIA - A machine learning assisted image annotation method for environmental monitoring and exploration ”, PLoS ONE, vol. 13, 2018, : e0207498.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2018 | Konferenzbeitrag | Angenommen | PUB-ID: 2921039
D. Langenkämper, R. van Kevelaer, and T.W. Nattkemper, “Strategies for Tackling the Class Imbalance Problem in Marine Image Classification”, Presented at the International Conference on Pattern Recognition 2018, Computer Vision for Automated Analysis of Underwater Imagery Workshop, Beijing, Accepted.PUB | PDF
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909190
D. Langenkämper, et al., “BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections”, Frontiers in Marine Science, vol. 4, 2017, : 83.PUB | Dateien verfügbar | DOI | WoS
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2901477S.E. Ahmed Raza, et al., “Robust normalization protocols for multiplexed fluorescence bioimage analysis”, BioData Mining, vol. 9, 2016, : 11.PUB | DOI | WoS | PubMed | Europe PMC
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2900943D. Langenkämper, et al., “Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations”, Frontiers in Genetics, vol. 7, 2016, : 5.PUB | DOI | WoS | PubMed | Europe PMC
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2016 | Konferenzbeitrag | Angenommen | PUB-ID: 2904670D. Langenkämper and T.W. Nattkemper, “COATL - A Learning Architecture for Online Real-Time Detection and Classification Assistance for Environmental Data”, Proceedings of the International Conference on Pattern Recognition (ICPR), Accepted.PUB
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2015 | Konferenzbeitrag | Im Druck | PUB-ID: 2775947T. Schoening, et al., “Rapid image processing and classification in underwater exploration using advanced high performance computing”, Proc. of the IEEE Oceans, Washington DC, USA: IEEE, In Press.PUB
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2705712
D. Langenkämper, A. Goesmann, and T.W. Nattkemper, “AKE - The Accelerated k-mer Exploration Web-Tool for Rapid Taxonomic Classification and Visualization”, BMC Bioinformatics, vol. 15, 2014, : 384.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2481783
J. Kölling, et al., “WHIDE - A web tool for visual data mining colocation patterns in multivariate bioimages”, Bioinformatics, vol. 28, 2012, pp. 1143-1150.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300232
C. Loyek, et al., “A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages”, Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings, J. Gama, E. Bradley, and J. Hollmén, eds., Lecture Notes in Computer Science, vol. 7014, Berlin, Heidelberg: Springer, 2011, pp.258-269.PUB | PDF | DOI
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2323705
D. Langenkämper, et al., “TICAL - a web-tool for multivariate image clustering and data topology preserving visualization”, Presented at the Microscopic Image Analysis with Applications in Biology (MIAAB), Heidelberg, Germany, 2011.PUB | PDF | Download (ext.)