Daniel Langenkämper

dlangenk@cebitec.uni-bielefeld.de
ORCID logo https://orcid.org/0000-0003-1857-5040

PEVZ-ID
23268922

20 Publikationen

Alle markieren

[20]
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 | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[19]
2020 | Bielefelder E-Dissertation | PUB-ID: 2941174 OA
D. Langenkämper, Data-driven models for taxonomic classification in marine science, Bielefeld: Universität Bielefeld, 2020.
PUB | PDF | DOI
 
[18]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2948381
D. 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
 
[17]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944775
T. Schoening, et al., “Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison”, BIOGEOSCIENCES, vol. 17, 2020, pp. 3115-3133.
PUB | DOI | WoS
 
[16]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944758 OA
D. Langenkämper, et al., “Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification”, Frontiers in Marine Science, vol. 7, 2020, : 506.
PUB | PDF | DOI | WoS
 
[15]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936069 OA
D. Langenkämper, et al., “On the impact of Citizen Science-derived data quality on deep learning based classification in marine images”, PLOS ONE, vol. 14, 2019, : e0218086.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[14]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935366
M. 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.)
 
[13]
2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705
T. 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
 
[12]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066 OA
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
 
[11]
2018 | Konferenzbeitrag | Angenommen | PUB-ID: 2921039 OA
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
 
[10]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909190 OA
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
 
[9]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2901477
S.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
 
[8]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2900943
D. 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
 
[7]
2016 | Konferenzbeitrag | Angenommen | PUB-ID: 2904670
D. 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
 
[6]
2015 | Konferenzbeitrag | Im Druck | PUB-ID: 2775947
T. 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
 
[5]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2705712 OA
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
 
[4]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2481783 OA
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
 
[3]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300232 OA
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
 
[2]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300237 OA
D. Langenkämper, et al., “Towards Protein Network Analysis using TIS Imaging and Exploratory Data Analysis”, Presented at the Workshop on Computational Systems Biology (WCSB), Zürich, Switzerland, 2011.
PUB | PDF
 
[1]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2323705 OA
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.)
 
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20 Publikationen

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[20]
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 | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[19]
2020 | Bielefelder E-Dissertation | PUB-ID: 2941174 OA
D. Langenkämper, Data-driven models for taxonomic classification in marine science, Bielefeld: Universität Bielefeld, 2020.
PUB | PDF | DOI
 
[18]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2948381
D. 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
 
[17]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944775
T. Schoening, et al., “Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison”, BIOGEOSCIENCES, vol. 17, 2020, pp. 3115-3133.
PUB | DOI | WoS
 
[16]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944758 OA
D. Langenkämper, et al., “Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification”, Frontiers in Marine Science, vol. 7, 2020, : 506.
PUB | PDF | DOI | WoS
 
[15]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936069 OA
D. Langenkämper, et al., “On the impact of Citizen Science-derived data quality on deep learning based classification in marine images”, PLOS ONE, vol. 14, 2019, : e0218086.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[14]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935366
M. 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.)
 
[13]
2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705
T. 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
 
[12]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066 OA
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
 
[11]
2018 | Konferenzbeitrag | Angenommen | PUB-ID: 2921039 OA
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
 
[10]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909190 OA
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
 
[9]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2901477
S.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
 
[8]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2900943
D. 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
 
[7]
2016 | Konferenzbeitrag | Angenommen | PUB-ID: 2904670
D. 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
 
[6]
2015 | Konferenzbeitrag | Im Druck | PUB-ID: 2775947
T. 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
 
[5]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2705712 OA
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
 
[4]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2481783 OA
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
 
[3]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300232 OA
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
 
[2]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300237 OA
D. Langenkämper, et al., “Towards Protein Network Analysis using TIS Imaging and Exploratory Data Analysis”, Presented at the Workshop on Computational Systems Biology (WCSB), Zürich, Switzerland, 2011.
PUB | PDF
 
[1]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2323705 OA
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.)
 
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Zitationsstil: ieee

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