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Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study. <i>Ecological Informatics 91</i>: 103306. <a href=\"https://dx.doi.org/10.1016/j.ecoinf.2025.103306\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecoinf.2025.103306</a>","BEntID":410103,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Ecological Informatics 91</i>: 103306. <a href=\"https://dx.doi.org/10.1016/j.ecoinf.2025.103306\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecoinf.2025.103306</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Azmi, E.; Alibabaei, K.; Kozlov, V.; Krijger, T.; Accarino, G.; Ayata, S.-D.; Calatrava, A.; De Carlo, M.M.; Decrop, W.; Elia, D.; Fiore, L.; Francescangeli, M.; Irisson, J.-O.; Lagaisse, R.; Laviale, M.; Lebeaud, A.; Leluschko, C.; Martínez, E.; Moltó, G.; Atake, I.R.; Antonio Augusto, S.N.; Damian, S.; Jesus, S.-G.; Tayyab, M.A.; Tosello, V.; López García, A.; Schaap, D.; Sipos, G.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Azmi, E. <i>et al.</i>","Englishabstract":"The iMagine project is an EU-funded initiative led by the EGI Foundation. 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