• Automatic interpretation of otoliths using deep learning 

      Moen, Endre; Handegard, Nils Olav; Allken, Vaneeda; Albert, Ole Thomas; Harbitz, Alf; Malde, Ketil (Journal article; Peer reviewed, 2018)
      The age structure of a fish population has important implications for recruitment processes and population fluctuations, and is a key input to fisheries-assessment models. The current method of determining age structure ...
    • A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images 

      Allken, Vaneeda; Rosen, Shale Pettit; Handegard, Nils Olav; Malde, Ketil (Peer reviewed; Journal article, 2021)
      Fish counts and species information can be obtained from images taken within trawls, which enables trawl surveys to operate without extracting fish from their habitat, yields distribution data at fine scale for better ...
    • Survey report for CRIMAC SFI 2023 

      Handegard, Nils Olav; Allken, Vaneeda; Holmin, Arne Johannes; Johnsen, Espen; Korneliussen, Rolf; Pedersen, Geir; Skjefstad, Joakim; Rogge, Rabea Patricia; Samuelsen, Mikal Arntzen; Tenningen, Maria; Sivle, Lise Doksæter (Toktrapport;2024 - 7, Research report, 2024)
      This cruise report describes the objectives, methods, and preliminary results from the tasks carried out at the CRIMAC SFI survey. The survey was conducted on board RV G.O. Sars between November 15th (Tromsø) and November ...