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Navigating uncertainty in museum workflows: Genomic data mining and curation of the RMCA Diptera collections. Esselens Lore, Addison Pia, Bakengesa Jacqueline, Bota Luis, Canhanga Laura, Cugala Domingos, Daniel Beatriz, De Meyer Marc, Delatte Hélène, Herpers Jean-Marc, Jordaens Kurt, Kabota Sija, Kudra Abdul B., Majubwa Ramadhani, Manrakhan Aruna, Mussumbe Mirene, Mwatawala Maulid W., Theeten Franck, Van den Spiegel Didier, Vanbergen Sam, Vangestel Carl, Virgilio Massimiliano. 2025. Biodiversity Data Journal, 13:e157274, 19 p.

Machine learning undercounts reproductive organs on herbarium specimens but accurately derives their quantitative phenological status: A case study of Streptanthus tortuosus. Love Natalie L. R., Bonnet Pierre, Goeau Hervé, Joly Alexis, Mazer Susan J.. 2021. Plants, 10 (11):2471, 17 p.

A new fine-grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction. Goeau Hervé, Mora-Fallas Adán, Champ Julien, Rossington Love Natalie L., Mazer Susan J., Mata-Montero Erick, Joly Alexis, Bonnet Pierre. 2020. Applications in Plant Sciences, 8 (6), n.spéc. Machine Learning in Plant Biology: Advances Using Herbarium Specimen Images:e11368, 11 p.

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras. Lorieul Titouan, Pearson Katelin D., Ellwood Elizabeth R., Goeau Hervé, Molino Jean-François, Sweeney Patrick W., Yost Jennifer M., Sachs Joel, Mata-Montero Erick, Nelson Gil, Soltis Pamela S., Bonnet Pierre, Joly Alexis. 2019. Applications in Plant Sciences, 7 (3), n.spéc. Emerging Frontiers in Phenological Research:e01233, 14 p.