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© Kay Panten
Institute of

SF Sea Fisheries

Publications, peer-reviewed

  1. 0

    Cayetano A, Stransky C, Birk A, Brey T (2024) An interactive AI-driven platform for fish age reading. PLoS One 19(11):e0313934, DOI:10.1371/journal.pone.0313934

    https://literatur.thuenen.de/digbib_extern/dn069082.pdf

  2. 1

    Cayetano A, Stransky C, Birk A, Brey T (2024) Fish age reading using deep learning methods for object-detection and segmentation. ICES J Mar Sci 81(4):687-700, DOI:10.1093/icesjms/fsae020

    https://literatur.thuenen.de/digbib_extern/dn067737.pdf

  3. 2

    Kühn B, Cayetano A, Fincham JI, Moustahfid H, Sokolova M, Trifonova N, Watson JT, Fernandes-Salvador JA, Uusitalo L (2024) Machine learning applications for fisheries - At scales from genomics to ecosystems. Rev Fish Sci Aquacult: Online First, Nov 2024, DOI:10.1080/23308249.2024.2423189

    https://literatur.thuenen.de/digbib_extern/dn069314.pdf

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