| Machine learning techniques to characterize functional traits of plankton from image data EC Orenstein, SD Ayata, F Maps, ÉC Becker, F Benedetti, T Biard, ... Limnology and oceanography 67 (8), 1647-1669, 2022 | 55 | 2022 |
| Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone L Vilgrain, F Maps, M Picheral, M Babin, C Aubry, JO Irisson, SD Ayata Limnology and Oceanography 66 (4), 1155-1167, 2021 | 39 | 2021 |
| Copepods' true colors: astaxanthin pigmentation as an indicator of fitness L Vilgrain, F Maps, S Basedow, E Trudnowska, MA Madoui, B Niehoff, ... Ecosphere 14 (6), e4489, 2023 | 7 | 2023 |
| Control of the preservation of sympagic algal material in surficial sediments of central and eastern Baffin Bay by bactericidal hydroperoxides and free fatty acids JF Rontani, C Lalande, L Vilgrain, F Vaultier, R Amiraux Marine Chemistry 247, 104177, 2022 | 5 | 2022 |
| Viability and stress state of bacteria associated with primary production or zooplankton-derived suspended particulate matter in summer along a transect in Baffin Bay (Arctic … C Burot, R Amiraux, P Bonin, S Guasco, M Babin, F Joux, D Marie, ... Science of the Total Environment 770, 145252, 2021 | 5 | 2021 |
| Bancs de surface de petits poissons pélagiques dans le Golfe de Gascogne: caractérisation et implication pour l’évaluation de la biomasse L Vilgrain | 2 | 2018 |
| Contribution des données d’imagerie à une approche par traits fonctionnels de l’écologie des copépodes arctiques et subarctiques L Vilgrain Sorbonne Université; Université Laval (Québec, Canada), 2023 | | 2023 |
| Fat chance: estimating the lipid content of Arctic zooplankton from in situ images F Maps, A Mercier, EC Orenstein, L Vilgrain, JO Irisson, SD Ayata SFE2 GFÖ EEF 2022 Conference, 2022 | | 2022 |
| Copepods true colors: astaxanthin pigmentation as an indicator of fitness SD Ayata, L Vilgrain, F Maps, SL Basedow, E Trudnowska, M Madoui, ... SFE2 GFÖ EEF 2022 Conference, 2022 | | 2022 |
| Supplemental Information: Machine learning techniques to characterize functional traits of plankton from image data EC Orenstein, SD Ayata, F Maps, ÉC Becker, F Benedetti, T Biard, ... Association for the Sciences of Limnology and Oceanography, 2022 | | 2022 |
| Astaxanthin as an indicator of copepod fitness-From indiviudal pigmentation to ecosystem functioning L Vilgrain, F Maps, E Trudnowska, SL Basedow, B Niehoff, M Madoui, ... Fourth ICES PICES Early Career Scientist Conference, 2022 | | 2022 |
| Could color be an indicator of copepod fitness? A focus on carotenoid pigmentation L Vilgrain, F Maps, E Trudnowska, SL Basedow, A Madoui, B Niehoff, ... Aquatic Sciences Meeting, 2021 | | 2021 |
| Morphological traits of zooplankton reveal ecological patterns along ice melt dynamics in the Arctic L Vilgrain Ocean Sciences Meeting 2020, 2020 | | 2020 |
| Le deep learning comme extracteur de caractéristiques morphologiques: Application à l’écologie du plancton marin JO Irisson, L Vilgrain, C Cailleton, M Picheral, F Maps, SD Ayata Imaginecology, 2020 | | 2020 |
