Evaluation of 3D/2D Imaging and Image Processing Techniques for the Monitoring of Seed Imbibition. - Étienne Belin; Clément Douarre; Nicolas Gillard; Florence Franconi; Julio Rojas Varela; François Chapeau-Blondeau; Didier Demilly; Jérôme Adrien; Eric Maire; David Rousseau (J. Imaging, 2018)

Transfer Learning from Synthetic Data Applied to Soil-Root Segmentation in X-Ray Tomography Images. - Clément Douarre; Richard Schielein; Carole Frindel; Stefan Gerth; David Rousseau (J. Imaging, 2018)

Novel data augmentation strategies to boost supervised segmentation of plant disease. - Clément Douarre; Carlos Fernando Crispim Junior; Anthony Gelibert; Laure Tougne; David Rousseau (Comput. Electron. Agric., 2019)

CTIS-Net: A Neural Network Architecture for Compressed Learning Based on Computed Tomography Imaging Spectrometers. - Clément Douarre; Carlos Fernando Crispim Junior; Anthony Gelibert; Gérald Germain; Laure Tougne; David Rousseau (IEEE Trans. Computational Imaging, 2021)

Spectro-imagerie et apprentissage profond: application à la détection de maladies de plantes. (Spectral imaging and deep learning: an application to plant disease detection). - Clément Douarre (2021)

Simple Imaging System for Label-Free Identification of Bacterial Pathogens in Resource-Limited Settings. - Clément Douarre; Dylan David; Marco Fangazio; Emmanuel Picard; Emmanuel Hadji; Olivier Vandenberg; Barbara Barbé; Liselotte Hardy; Pierre R. Marcoux (Int. J. Biomed. Imaging, 2024)