Daniel Langenkämper
Daniel Langenkämper
Biodata Mining Group, Bielefeld University
Verified email at - Homepage
Cited by
Cited by
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
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
MAIA—A machine learning assisted image annotation method for environmental monitoring and exploration
M Zurowietz, D Langenkämper, B Hosking, HA Ruhl, TW Nattkemper
PloS one 13 (11), e0207498, 2018
WHIDE—a web tool for visual data mining colocation patterns in multivariate bioimages
J Kölling, D Langenkämper, S Abouna, M Khan, TW Nattkemper
Bioinformatics 28 (8), 1143-1150, 2012
Deep learning-based diatom taxonomy on virtual slides
M Kloster, D Langenkämper, M Zurowietz, B Beszteri, TW Nattkemper
Scientific reports 10 (1), 14416, 2020
Gear-induced concept drift in marine images and its effect on deep learning classification
D Langenkämper, R Van Kevelaer, A Purser, TW Nattkemper
Frontiers in Marine Science 7, 506, 2020
Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison
T Schoening, A Purser, D Langenkämper, I Suck, J Taylor, D Cuvelier, ...
Biogeosciences 17 (12), 3115-3133, 2020
On the impact of Citizen Science-derived data quality on deep learning based classification in marine images
D Langenkämper, E Simon-Lledo, B Hosking, DOB Jones, ...
PLoS One 14 (6), e0218086, 2019
A Digital Twin concept for the prescriptive maintenance of protective coating systems on wind turbine structures
AW Momber, T Möller, D Langenkämper, TW Nattkemper, D Brün
Wind Engineering 46 (3), 949-971, 2022
Rapid image processing and classification in underwater exploration using advanced high performance computing
T Schoening, D Langenkämper, B Steinbrink, D Brün, TW Nattkemper
OCEANS 2015-MTS/IEEE Washington, 1-5, 2015
A data-based model for condition monitoring and maintenance planning for protective coating systems for wind tower structures
AW Momber, TW Nattkemper, D Langenkämper, T Möller, D Brün, ...
Renewable energy 186, 957-973, 2022
Strategies for Tackling the Class Imbalance Problem in Marine Image Classification
D Langenkämper, R van Kevelaer, TW Nattkemper
International Conference on Pattern Recognition 2018, Computer Vision for …, 2018
Robust normalization protocols for multiplexed fluorescence bioimage analysis
SEA Raza, D Langenkämper, K Sirinukunwattana, D Epstein, ...
BioData Mining, 1-13, 2016
COATL-a learning architecture for online real-time detection and classification assistance for environmental data
D Langenkämper, TW Nattkemper
2016 23rd International Conference on Pattern Recognition (ICPR), 597-602, 2016
AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization
D Langenkämper, A Goesmann, TW Nattkemper
BMC bioinformatics 15, 1-11, 2014
The exploration and annotation of large amounts of visual inspection data for protective coating systems on stationary marine steel structures
AW Momber, D Langenkämper, T Möller, TW Nattkemper
Ocean Engineering 278, 114337, 2023
Towards protein network analysis using tis imaging and exploratory data analysis
D Langenkämper, J Kölling, M Khan, N Rajpoot, TW Nattkemper
Comparison of acceleration techniques for selected low-level bioinformatics operations
D Langenkämper, T Jakobi, D Feld, L Jelonek, A Goesmann, ...
Frontiers in genetics 7, 5, 2016
Digitalisierung und Verarbeitung von Sensordaten für die Zustandsbewertung von Oberflächenschutzsystemen stählerner Türme von Onshore‐Windenergieanlagen
A Momber, T Nattkemper, D Langenkämper, T Möller, D Brün, ...
Stahlbau 90 (7), 528-541, 2021
3D reconstruction of on-/offshore wind turbines for manual and computational visual inspection
T Möller, D Brün, D Langenkämper, R van Kevelaer, TW Nattkemper
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
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