Nattkemper TW - Search Results

1

On the impact of Citizen Science-derived data quality on deep learning based classification in marine images.

Langenkämper D, Simon-Lledó E, Hosking B, Jones DOB, Nattkemper TW. Langenkämper D, et al. Among authors: nattkemper tw. PLoS One. 2019 Jun 12;14(6):e0218086. doi: 10.1371/journal.pone.0218086. eCollection 2019. PLoS One. 2019. PMID: 31188894 Free PMC article.

2

WHIDE--a web tool for visual data mining colocation patterns in multivariate bioimages.

Kölling J, Langenkämper D, Abouna S, Khan M, Nattkemper TW. Kölling J, et al. Among authors: nattkemper tw. Bioinformatics. 2012 Apr 15;28(8):1143-50. doi: 10.1093/bioinformatics/bts104. Epub 2012 Mar 5. Bioinformatics. 2012. PMID: 22390938 Free PMC article.

3

AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization.

Langenkämper D, Goesmann A, Nattkemper TW. Langenkämper D, et al. Among authors: nattkemper tw. BMC Bioinformatics. 2014 Dec 13;15(1):384. doi: 10.1186/s12859-014-0384-0. BMC Bioinformatics. 2014. PMID: 25495116 Free PMC article.

4

Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations.

Langenkämper D, Jakobi T, Feld D, Jelonek L, Goesmann A, Nattkemper TW. Langenkämper D, et al. Among authors: nattkemper tw. Front Genet. 2016 Feb 10;7:5. doi: 10.3389/fgene.2016.00005. eCollection 2016. Front Genet. 2016. PMID: 26904094 Free PMC article.

5

Robust normalization protocols for multiplexed fluorescence bioimage analysis.

Ahmed Raza SE, Langenkämper D, Sirinukunwattana K, Epstein D, Nattkemper TW, Rajpoot NM. Ahmed Raza SE, et al. Among authors: nattkemper tw. BioData Min. 2016 Mar 5;9:11. doi: 10.1186/s13040-016-0088-2. eCollection 2016. BioData Min. 2016. PMID: 26949415 Free PMC article.

6

MAIA-A machine learning assisted image annotation method for environmental monitoring and exploration.

Zurowietz M, Langenkämper D, Hosking B, Ruhl HA, Nattkemper TW. Zurowietz M, et al. Among authors: nattkemper tw. PLoS One. 2018 Nov 16;13(11):e0207498. doi: 10.1371/journal.pone.0207498. eCollection 2018. PLoS One. 2018. PMID: 30444917 Free PMC article.

7

Deep learning-based diatom taxonomy on virtual slides.

Kloster M, Langenkämper D, Zurowietz M, Beszteri B, Nattkemper TW. Kloster M, et al. Among authors: nattkemper tw. Sci Rep. 2020 Sep 2;10(1):14416. doi: 10.1038/s41598-020-71165-w. Sci Rep. 2020. PMID: 32879374 Free PMC article.

8

ALMI-A Generic Active Learning System for Computational Object Classification in Marine Observation Images.

Möller T, Nattkemper TW. Möller T, et al. Among authors: nattkemper tw. Sensors (Basel). 2021 Feb 6;21(4):1134. doi: 10.3390/s21041134. Sensors (Basel). 2021. PMID: 33561961 Free PMC article.

9

The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects.

Tan M, Langenkämper D, Nattkemper TW. Tan M, et al. Among authors: nattkemper tw. Sensors (Basel). 2022 Jul 19;22(14):5383. doi: 10.3390/s22145383. Sensors (Basel). 2022. PMID: 35891060 Free PMC article.

10

Exploring time series of hyperspectral images for cold water coral stress response analysis.

Langenkämper D, Mogstad AA, Hansen IM, Baussant T, Bergsagel Ø, Nilssen I, Frost TK, Nattkemper TW. Langenkämper D, et al. Among authors: nattkemper tw. PLoS One. 2022 Aug 8;17(8):e0272408. doi: 10.1371/journal.pone.0272408. eCollection 2022. PLoS One. 2022. PMID: 35939502 Free PMC article.

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