Cristin-person-ID: 426633
Person

Endre Moen

  • Stilling:
    Overingeniør
    ved Norsk Marint Datasenter ved Havforskningsinstituttet

Resultater Resultater

Exploring imaging protocols and neural network architectures for automated otolith analysis.

Moen, Endre; Vabø, Rune; Denechaud, Come; Smolinski, Szymon; Malde, Ketil. 2022, ICES Annual Science Conference 2022. HAVFORSK, UIBVitenskapelig foredrag

An online otolith age reader using deep neural networks: Perspectives and challenges.

Politikos, Dimitris V.; Sykiniotis, Nikolaos; Petasis, Georgios; Dedousis, Pavlos; Ordonez, Alba; Vabø, Rune; Anastasopoulou, Aikaterini; Moen, Endre; Mytilineou, Chryssi; Salberg, Arnt-Børre mfl.. 2022, ICES Annual Science Conference 2022. NR, HAVFORSK, UIBVitenskapelig foredrag

DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images.

Politikos, Dimitris V.; Sykiniotis, Nikolaos; Petasis, Georgios; Dedousis, Pavlos; Ordonez, Alba; Vabø, Rune; Anastasopoulou, Aikaterini; Moen, Endre; Mytilineou, Chryssi; Salberg, Arnt-Børre mfl.. 2022, Fishes. HCMR, HELLAS, NR, DEMOKRITOS, HAVFORSK, UIBVitenskapelig artikkel

Automatic interpretation of salmon scales using deep learning.

Vabø, Rune; Moen, Endre; Smolinski, Szymon; Husebø, Åse; Handegard, Nils Olav; Malde, Ketil. 2021, Ecological Informatics. NMRI, HAVFORSK, UIBVitenskapelig artikkel

CAGEREPORTER - Development of technology for autonomous, bio-interactive and high-quality data acquisition from aquaculture net cages.

Kelasidi, Eleni; Su, Biao; Thorbjørnsen, Eirik Storås; Moen, Endre; Schellewald, Christian; Yip, Mau Hing; Remmen, Bjørnar Moe; Mulelid, Mats. 2020, OCEAN, HAVFORSKRapport
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