20 Publikationen

Alle markieren

[20]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945723
Kloster M, Langenkämper D, Zurowietz M, Beszteri B, Nattkemper TW. Deep learning-based diatom taxonomy on virtual slides. Scientific Reports. 2020;10(1): 14416.
PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[19]
2020 | Bielefelder E-Dissertation | PUB-ID: 2941174 OA
Langenkämper D. Data-driven models for taxonomic classification in marine science. Bielefeld: Universität Bielefeld; 2020.
PUB | PDF | DOI
 
[18]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2948381
Langenkämper D, Zurowietz M, Schoening T, Nattkemper TW. Corrigendum: BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science. 2020;7: 617268.
PUB | DOI | Download (ext.) | WoS
 
[17]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944775
Schoening T, Purser A, Langenkämper D, et al. Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES. 2020;17(12):3115-3133.
PUB | DOI | WoS
 
[16]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944758 OA
Langenkämper D, van Kevelaer R, Purser A, Nattkemper TW. Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification. Frontiers in Marine Science. 2020;7: 506.
PUB | PDF | DOI | WoS
 
[15]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936069 OA
Langenkämper D, Simon-Lledó E, Hosking B, Jones DOB, Nattkemper TW. On the impact of Citizen Science-derived data quality on deep learning based classification in marine images. PLOS ONE. 2019;14(6): e0218086.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[14]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935366
Zurowietz M, Langenkämper D, Nattkemper TW. BIIGLE2Go - A scalable image annotation system for easy deployment on cruises. In: Proceedings of IEEE OCEANS 2019. 2019.
PUB | DOI | Download (ext.)
 
[13]
2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705
Möller T, Langenkämper D, Nattkemper TW. Wind turbine segmentation performing kNN-clustering on superpixel segmentations. In: Bruzzone L, Bovolo F, eds. Image and Signal Processing for Remote Sensing XXV. Image and Signal Processing for Remote Sensing XXV. Proceedings. Vol 11155. In Press.
PUB
 
[12]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066 OA
Zurowietz M, Langenkämper D, Hosking B, Ruhl H, Nattkemper TW. MAIA - A machine learning assisted image annotation method for environmental monitoring and exploration . PLoS ONE. 2018;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 TW. 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, Zurowietz M, Schoening T, Nattkemper TW. BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science. 2017;4(March): 83.
PUB | Dateien verfügbar | DOI | WoS
 
[9]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2901477
Ahmed Raza SE, Langenkämper D, Sirinukunwattana K, Epstein D, Nattkemper TW, Rajpoot NM. Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Mining. 2016;9(1): 11.
PUB | DOI | WoS | PubMed | Europe PMC
 
[8]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2900943
Langenkämper D, Jakobi T, Feld D, Jelonek L, Goesmann A, Nattkemper TW. Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations. Frontiers in Genetics. 2016;7: 5.
PUB | DOI | WoS | PubMed | Europe PMC
 
[7]
2016 | Konferenzbeitrag | Angenommen | PUB-ID: 2904670
Langenkämper D, Nattkemper TW. 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). Accepted.
PUB
 
[6]
2015 | Konferenzbeitrag | Im Druck | PUB-ID: 2775947
Schoening T, Langenkämper D, Steinbrink B, Brün D, Nattkemper TW. Rapid image processing and classification in underwater exploration using advanced high performance computing. In: Proc. of the IEEE Oceans. Washington DC, USA: IEEE; In Press.
PUB
 
[5]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2705712 OA
Langenkämper D, Goesmann A, Nattkemper TW. AKE - The Accelerated k-mer Exploration Web-Tool for Rapid Taxonomic Classification and Visualization. BMC Bioinformatics. 2014;15(1): 384.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[4]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2481783 OA
Kölling J, Langenkämper D, Sylvie A, Michale K, Nattkemper TW. WHIDE - A web tool for visual data mining colocation patterns in multivariate bioimages. Bioinformatics. 2012;28(8):1143-1150.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[3]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300232 OA
Loyek C, Kölling J, Langenkämper D, Niehaus K, Nattkemper TW. A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. In: Gama J, Bradley E, Hollmén J, eds. Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings. Lecture Notes in Computer Science. Vol 7014. Berlin, Heidelberg: Springer; 2011: 258-269.
PUB | PDF | DOI
 
[2]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300237 OA
Langenkämper D, Kölling J, Khan M, Rajpoot N, Nattkemper TW. 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, Kölling J, Abouna S, Khan M, Niehaus K, Nattkemper TW. 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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20 Publikationen

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[20]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2945723
Kloster M, Langenkämper D, Zurowietz M, Beszteri B, Nattkemper TW. Deep learning-based diatom taxonomy on virtual slides. Scientific Reports. 2020;10(1): 14416.
PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[19]
2020 | Bielefelder E-Dissertation | PUB-ID: 2941174 OA
Langenkämper D. Data-driven models for taxonomic classification in marine science. Bielefeld: Universität Bielefeld; 2020.
PUB | PDF | DOI
 
[18]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2948381
Langenkämper D, Zurowietz M, Schoening T, Nattkemper TW. Corrigendum: BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science. 2020;7: 617268.
PUB | DOI | Download (ext.) | WoS
 
[17]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944775
Schoening T, Purser A, Langenkämper D, et al. Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. BIOGEOSCIENCES. 2020;17(12):3115-3133.
PUB | DOI | WoS
 
[16]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944758 OA
Langenkämper D, van Kevelaer R, Purser A, Nattkemper TW. Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification. Frontiers in Marine Science. 2020;7: 506.
PUB | PDF | DOI | WoS
 
[15]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936069 OA
Langenkämper D, Simon-Lledó E, Hosking B, Jones DOB, Nattkemper TW. On the impact of Citizen Science-derived data quality on deep learning based classification in marine images. PLOS ONE. 2019;14(6): e0218086.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
[14]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935366
Zurowietz M, Langenkämper D, Nattkemper TW. BIIGLE2Go - A scalable image annotation system for easy deployment on cruises. In: Proceedings of IEEE OCEANS 2019. 2019.
PUB | DOI | Download (ext.)
 
[13]
2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705
Möller T, Langenkämper D, Nattkemper TW. Wind turbine segmentation performing kNN-clustering on superpixel segmentations. In: Bruzzone L, Bovolo F, eds. Image and Signal Processing for Remote Sensing XXV. Image and Signal Processing for Remote Sensing XXV. Proceedings. Vol 11155. In Press.
PUB
 
[12]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066 OA
Zurowietz M, Langenkämper D, Hosking B, Ruhl H, Nattkemper TW. MAIA - A machine learning assisted image annotation method for environmental monitoring and exploration . PLoS ONE. 2018;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 TW. 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, Zurowietz M, Schoening T, Nattkemper TW. BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science. 2017;4(March): 83.
PUB | Dateien verfügbar | DOI | WoS
 
[9]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2901477
Ahmed Raza SE, Langenkämper D, Sirinukunwattana K, Epstein D, Nattkemper TW, Rajpoot NM. Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Mining. 2016;9(1): 11.
PUB | DOI | WoS | PubMed | Europe PMC
 
[8]
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2900943
Langenkämper D, Jakobi T, Feld D, Jelonek L, Goesmann A, Nattkemper TW. Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations. Frontiers in Genetics. 2016;7: 5.
PUB | DOI | WoS | PubMed | Europe PMC
 
[7]
2016 | Konferenzbeitrag | Angenommen | PUB-ID: 2904670
Langenkämper D, Nattkemper TW. 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). Accepted.
PUB
 
[6]
2015 | Konferenzbeitrag | Im Druck | PUB-ID: 2775947
Schoening T, Langenkämper D, Steinbrink B, Brün D, Nattkemper TW. Rapid image processing and classification in underwater exploration using advanced high performance computing. In: Proc. of the IEEE Oceans. Washington DC, USA: IEEE; In Press.
PUB
 
[5]
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2705712 OA
Langenkämper D, Goesmann A, Nattkemper TW. AKE - The Accelerated k-mer Exploration Web-Tool for Rapid Taxonomic Classification and Visualization. BMC Bioinformatics. 2014;15(1): 384.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[4]
2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2481783 OA
Kölling J, Langenkämper D, Sylvie A, Michale K, Nattkemper TW. WHIDE - A web tool for visual data mining colocation patterns in multivariate bioimages. Bioinformatics. 2012;28(8):1143-1150.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
[3]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300232 OA
Loyek C, Kölling J, Langenkämper D, Niehaus K, Nattkemper TW. A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. In: Gama J, Bradley E, Hollmén J, eds. Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings. Lecture Notes in Computer Science. Vol 7014. Berlin, Heidelberg: Springer; 2011: 258-269.
PUB | PDF | DOI
 
[2]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300237 OA
Langenkämper D, Kölling J, Khan M, Rajpoot N, Nattkemper TW. 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, Kölling J, Abouna S, Khan M, Niehaus K, Nattkemper TW. 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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