20 Publikationen

Alle markieren

[20]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945723
Kloster, M., et al., 2020. Deep learning-based diatom taxonomy on virtual slides. Scientific Reports, 10(1): 14416.
PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[19]
2020 | Bielefelder E-Dissertation | PUB-ID: 2941174 OA
Langenkämper, D., 2020. Data-driven models for taxonomic classification in marine science, Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
[18]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2948381
Langenkämper, D., et al., 2020. Corrigendum: BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science, 7: 617268.
PUB | DOI | Download (ext.) | WoS
 
[17]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944775
Schoening, T., et al., 2020. Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES, 17(12), p 3115-3133.
PUB | DOI | WoS
 
[16]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944758 OA
Langenkämper, D., et al., 2020. Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification. Frontiers in Marine Science, 7: 506.
PUB | PDF | DOI | WoS
 
[15]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936069 OA
Langenkämper, D., et al., 2019. On the impact of Citizen Science-derived data quality on deep learning based classification in marine images. PLOS ONE, 14(6): e0218086.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[14]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935366
Zurowietz, M., Langenkämper, D., & Nattkemper, T.W., 2019. BIIGLE2Go - A scalable image annotation system for easy deployment on cruises. In Proceedings of IEEE OCEANS 2019.
PUB | DOI | Download (ext.)
 
[13]
2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705
Möller, T., Langenkämper, D., & Nattkemper, T.W., In Press. Wind turbine segmentation performing kNN-clustering on superpixel segmentations. In L. Bruzzone & F. Bovolo, eds. Image and Signal Processing for Remote Sensing XXV. Image and Signal Processing for Remote Sensing XXV. Proceedings. no.11155
PUB
 
[12]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066 OA
Zurowietz, M., et al., 2018. MAIA - A machine learning assisted image annotation method for environmental monitoring and exploration . PLoS ONE, 13(11): e0207498.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[11]
2018 | Konferenzbeitrag | Angenommen | PUB-ID: 2921039 OA
Langenkämper, D., van Kevelaer, R., & Nattkemper, T.W., Accepted. 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.
PUB | PDF
 
[10]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909190 OA
Langenkämper, D., et al., 2017. BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science, 4(March): 83.
PUB | Dateien verfügbar | DOI | WoS
 
[9]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2901477
Ahmed Raza, S.E., et al., 2016. Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Mining, 9(1): 11.
PUB | DOI | WoS | PubMed | Europe PMC
 
[8]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2900943
Langenkämper, D., et al., 2016. Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations. Frontiers in Genetics, 7: 5.
PUB | DOI | WoS | PubMed | Europe PMC
 
[7]
2016 | Konferenzbeitrag | Angenommen | PUB-ID: 2904670
Langenkämper, D., & Nattkemper, T.W., Accepted. COATL - A Learning Architecture for Online Real-Time Detection and Classification Assistance for Environmental Data. In Proceedings of the International Conference on Pattern Recognition (ICPR).
PUB
 
[6]
2015 | Konferenzbeitrag | Im Druck | PUB-ID: 2775947
Schoening, T., et al., In Press. Rapid image processing and classification in underwater exploration using advanced high performance computing. In Proc. of the IEEE Oceans. Washington DC, USA: IEEE.
PUB
 
[5]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2705712 OA
Langenkämper, D., Goesmann, A., & Nattkemper, T.W., 2014. AKE - The Accelerated k-mer Exploration Web-Tool for Rapid Taxonomic Classification and Visualization. BMC Bioinformatics, 15(1): 384.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[4]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2481783 OA
Kölling, J., et al., 2012. WHIDE - A web tool for visual data mining colocation patterns in multivariate bioimages. Bioinformatics, 28(8), p 1143-1150.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[3]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300232 OA
Loyek, C., et al., 2011. A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. In J. Gama, E. Bradley, & J. Hollmén, eds. Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings. Lecture Notes in Computer Science. no.7014 Berlin, Heidelberg: Springer, pp. 258-269.
PUB | PDF | DOI
 
[2]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300237 OA
Langenkämper, D., et al., 2011. Towards Protein Network Analysis using TIS Imaging and Exploratory Data Analysis. Presented at the Workshop on Computational Systems Biology (WCSB), Zürich, Switzerland.
PUB | PDF
 
[1]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2323705 OA
Langenkämper, D., et al., 2011. 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.
PUB | PDF | Download (ext.)
 

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Zitationsstil: harvard1

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20 Publikationen

Alle markieren

[20]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945723
Kloster, M., et al., 2020. Deep learning-based diatom taxonomy on virtual slides. Scientific Reports, 10(1): 14416.
PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[19]
2020 | Bielefelder E-Dissertation | PUB-ID: 2941174 OA
Langenkämper, D., 2020. Data-driven models for taxonomic classification in marine science, Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
[18]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2948381
Langenkämper, D., et al., 2020. Corrigendum: BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science, 7: 617268.
PUB | DOI | Download (ext.) | WoS
 
[17]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944775
Schoening, T., et al., 2020. Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES, 17(12), p 3115-3133.
PUB | DOI | WoS
 
[16]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944758 OA
Langenkämper, D., et al., 2020. Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification. Frontiers in Marine Science, 7: 506.
PUB | PDF | DOI | WoS
 
[15]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936069 OA
Langenkämper, D., et al., 2019. On the impact of Citizen Science-derived data quality on deep learning based classification in marine images. PLOS ONE, 14(6): e0218086.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[14]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935366
Zurowietz, M., Langenkämper, D., & Nattkemper, T.W., 2019. BIIGLE2Go - A scalable image annotation system for easy deployment on cruises. In Proceedings of IEEE OCEANS 2019.
PUB | DOI | Download (ext.)
 
[13]
2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705
Möller, T., Langenkämper, D., & Nattkemper, T.W., In Press. Wind turbine segmentation performing kNN-clustering on superpixel segmentations. In L. Bruzzone & F. Bovolo, eds. Image and Signal Processing for Remote Sensing XXV. Image and Signal Processing for Remote Sensing XXV. Proceedings. no.11155
PUB
 
[12]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066 OA
Zurowietz, M., et al., 2018. MAIA - A machine learning assisted image annotation method for environmental monitoring and exploration . PLoS ONE, 13(11): e0207498.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[11]
2018 | Konferenzbeitrag | Angenommen | PUB-ID: 2921039 OA
Langenkämper, D., van Kevelaer, R., & Nattkemper, T.W., Accepted. 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.
PUB | PDF
 
[10]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909190 OA
Langenkämper, D., et al., 2017. BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science, 4(March): 83.
PUB | Dateien verfügbar | DOI | WoS
 
[9]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2901477
Ahmed Raza, S.E., et al., 2016. Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Mining, 9(1): 11.
PUB | DOI | WoS | PubMed | Europe PMC
 
[8]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2900943
Langenkämper, D., et al., 2016. Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations. Frontiers in Genetics, 7: 5.
PUB | DOI | WoS | PubMed | Europe PMC
 
[7]
2016 | Konferenzbeitrag | Angenommen | PUB-ID: 2904670
Langenkämper, D., & Nattkemper, T.W., Accepted. COATL - A Learning Architecture for Online Real-Time Detection and Classification Assistance for Environmental Data. In Proceedings of the International Conference on Pattern Recognition (ICPR).
PUB
 
[6]
2015 | Konferenzbeitrag | Im Druck | PUB-ID: 2775947
Schoening, T., et al., In Press. Rapid image processing and classification in underwater exploration using advanced high performance computing. In Proc. of the IEEE Oceans. Washington DC, USA: IEEE.
PUB
 
[5]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2705712 OA
Langenkämper, D., Goesmann, A., & Nattkemper, T.W., 2014. AKE - The Accelerated k-mer Exploration Web-Tool for Rapid Taxonomic Classification and Visualization. BMC Bioinformatics, 15(1): 384.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[4]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2481783 OA
Kölling, J., et al., 2012. WHIDE - A web tool for visual data mining colocation patterns in multivariate bioimages. Bioinformatics, 28(8), p 1143-1150.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[3]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300232 OA
Loyek, C., et al., 2011. A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. In J. Gama, E. Bradley, & J. Hollmén, eds. Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings. Lecture Notes in Computer Science. no.7014 Berlin, Heidelberg: Springer, pp. 258-269.
PUB | PDF | DOI
 
[2]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300237 OA
Langenkämper, D., et al., 2011. Towards Protein Network Analysis using TIS Imaging and Exploratory Data Analysis. Presented at the Workshop on Computational Systems Biology (WCSB), Zürich, Switzerland.
PUB | PDF
 
[1]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2323705 OA
Langenkämper, D., et al., 2011. 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.
PUB | PDF | Download (ext.)
 

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Zitationsstil: harvard1

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