


default search action
"Best practices for AI-based image analysis applications in aquatic ..."
Elnaz Azmi et al. (2025)
- Elnaz Azmi

, Khadijeh Alibabaei
, Valentin Kozlov
, Tjerk Krijger
, Gabriele Accarino
, Sakina-Dorothée Ayata
, Amanda Calatrava
, Marco M. De Carlo
, Decrop Wout
, Donatello Elia
, Sandro Fiore
, Marco Francescangeli
, Jean-Olivier Irisson
, Rune Lagaisse
, Martin Laviale
, Antoine Lebeaud
, Carolin Leluschko
, Enoc Martínez, Germán Moltó, Igor Atake
, Antonio Augusto Sepp Neves
, Damian Smyth
, Jesús Soriano-González
, Muhammad Arabi Tayyab
, Vanessa Tosello
, Álvaro López García
, Dick Schaap
, Gergely Sipos
:
Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study. Ecol. Informatics 91: 103306 (2025)

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














