| Novel data augmentation strategies to boost supervised segmentation of plant disease C Douarre, CF Crispim-Junior, A Gelibert, L Tougne, D Rousseau Computers and electronics in agriculture 165, 104967, 2019 | 83 | 2019 |
| Transfer learning from synthetic data applied to soil–root segmentation in x-ray tomography images C Douarre, R Schielein, C Frindel, S Gerth, D Rousseau Journal of Imaging 4 (5), 65, 2018 | 79 | 2018 |
| Deep learning based root-soil segmentation from X-ray tomography images C Douarre, R Schielein, C Frindel, S Gerth, D Rousseau BioRxiv, 071662, 2016 | 34 | 2016 |
| Evaluation of 3D/2D imaging and image processing techniques for the monitoring of seed imbibition E Belin, C Douarre, N Gillard, F Franconi, J Rojas-Varela, ... Journal of Imaging 4 (7), 83, 2018 | 17 | 2018 |
| CTIS-Net: a neural network architecture for compressed learning based on computed tomography imaging spectrometers C Douarre, CF Crispim-Junior, A Gelibert, G Germain, L Tougne, ... IEEE Transactions on Computational Imaging 7, 572-583, 2021 | 16 | 2021 |
| On the value of CTIS imagery for neural-network-based classification: a simulation perspective C Douarre, CF Crispim-Junior, A Gelibert, L Tougne, D Rousseau Applied optics 59 (28), 8697-8710, 2020 | 12 | 2020 |
| Deep learning based rootsoil segmentation from X-ray tomography. bioRxiv, 071662 C Douarre, R Schielein, C Frindel, S Gerth, D Rousseau | 11 | 2016 |
| A strategy for multimodal canopy images registration C Douarre, CF Crispim-Junior, A Gelibert, D Rousseau, L Tougne 7th International Workshop on Image Analysis Methods in the Plant Sciences, 2019 | 4 | 2019 |
| Deep learning based root-soil segmentation from X-ray tomography images. bioRxiv 071662 C Douarre, R Schielein, C Frindel, S Gerth, D Rousseau | 4 | 2016 |
| PA-193 Simple imaging system for optical label-free identification of bacterial clinical isolates in low-resource settings (LRS) C Douarre, M Fangazio, D David, E Picard, E Hadji, O Vandenberg, ... BMJ Global Health 8 (Suppl 10), 2023 | 1 | 2023 |
| Apprentissage comprimé sur images hyperspectrales de feuilles de pommier atteintes de tavelure C Douarre, CF Crispim-Junior, A Gélibert, L Tougne, D Rousseau GdR ISIS: IA pour l'agriculture, 2020 | 1 | 2020 |
| When spectro-imaging meets machine learning C Douarre, L Tougne, CF Crispim-Junior, A Gelibert, D Rousseau Workshop on Machine Learning Assisted Image Formation, 2019 | 1 | 2019 |
| Data simulation to improve supervised segmentation of apple scab images C Douarre, L Tougne, CF Crispim-Junior, A Gelibert, D Rousseau 10e édition des Rencontres du végétal, 2018 | 1 | 2018 |
| Simple Imaging System for Label‐Free Identification of Bacterial Pathogens in Resource‐Limited Settings C Douarre, D David, M Fangazio, E Picard, E Hadji, O Vandenberg, ... International Journal of Biomedical Imaging 2024 (1), 6465280, 2024 | | 2024 |
| High-throughput species identification of bacterial clinical isolates through lensfree imaging and deep learning C Douarre, M Fangazio, D David, E Picard, E Hadji, O Vandenberg, ... EDTCP Forum, 2023 | | 2023 |
| Apprendre l’apprentissage automatique: un retour d’expérience N Debs, S Peignier, C Douarre, T Jourdan, C Rigotti, C Frindel J3eA 21, 2013, 2022 | | 2022 |
| On the Value of CTIS imagery for Neural Network Based Classification Experimental Results C Douarre, CC Junior, A Gelibert, L Tougne, D Rousseau Computational Optical Sensing and Imaging, CM2E. 4, 2021 | | 2021 |
| Spectro-imagerie et apprentissage profond: application à la détection de maladies de plantes C Douarre Université de Lyon, 2021 | | 2021 |
| Spectro-imagerie et apprentissage comprimé C Douarre, CF Crispim-Junior, A Gélibert, L Tougne, D Rousseau 16èmes Journées Imagerie Optique Non Conventionnelle, 2021 | | 2021 |
| Differentiation of plant species with hyperspectral and deep learning technology C Douarre, G Germain, A Achard, A Gelibert, B Billiot Image Analyses Methods for Plant Sciences, 2018 | | 2018 |
David ROUSSEAUUniversité d'Angers, France (former Université Lyon 1)Verified email at univ-angers.fr