| On the use of depth camera for 3D phenotyping of entire plants Y Chéné, D Rousseau, P Lucidarme, J Bertheloot, V Caffier, P Morel, ... Computers and Electronics in Agriculture 82, 122-127, 2012 | 360 | 2012 |
| High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis C Rousseau, E Belin, E Bove, D Rousseau, F Fabre, R Berruyer, ... Plant methods 9, 1-13, 2013 | 212 | 2013 |
| Recent Applications of Multispectral Imaging for Seed Phenotyping and Quality Monitoring – an Overview G Elmasry, N Mandour, S Al-Rejaie, E Belin, D Rousseau Sensors, 2019 | 192 | 2019 |
| Noise-enhanced performance for an optimal Bayesian estimator F Chapeau-Blondeau, D Rousseau IEEE Transactions on Signal Processing 52 (5), 1327-1334, 2004 | 103 | 2004 |
| Noise-enhanced nonlinear detector to improve signal detection in non-Gaussian noise D Rousseau, GV Anand, F Chapeau-Blondeau Signal Processing 86 (11), 3456-3465, 2006 | 100 | 2006 |
| Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize developing seeds D Rousseau, T Widiez, S Di Tommaso, H Rositi, J Adrien, E Maire, ... Plant Methods, 2015 | 94 | 2015 |
| Suprathreshold stochastic resonance and noise-enhanced Fisher information in arrays of threshold devices D Rousseau, F Duan, F Chapeau-Blondeau Physical Review E 68 (3), 031107, 2003 | 91 | 2003 |
| Thermography versus chlorophyll fluorescence imaging for detection and quantification of apple scab É Belin, D Rousseau, T Boureau, V Caffier Computers and electronics in agriculture 90, 159-163, 2013 | 89 | 2013 |
| Emerging Thermal Imaging Techniques for Seed Quality Evaluation: Principles and Applications G ElMasry, R ElGamal, N Mandour, S Al-Rejaie, E Belin, D Rousseau Food Research International, 2020 | 87 | 2020 |
| Recent advances in E-monitoring of Plant Diseases A Mohammad-Razdari, D Rousseau, A Bakhshipour, S Taylor, J Poveda, ... Biosensors and Bioelectronics, 2022 | 84 | 2022 |
| Deep learning-based detection of seedling development S Samiei, P Rasti, J LyVu, J Buitink, D Rousseau Plant Methods, 2020 | 83 | 2020 |
| Novel Data Augmentation Strategies To Boost Supervised Segmentation of Plant Disease Images C Douarre, C Crispim-Junior, A Gelibert, L Tougne, D Rousseau Computers and Electronics in Agriculture, 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 AI Approaches to Biological Image Analysis, Journal of Imaging ; doi: 10.339 …, 2018 | 79 | 2018 |
| Suprathreshold stochastic resonance and signal-to-noise ratio improvement in arrays of comparators D Rousseau, F Chapeau-Blondeau Physics Letters A 321 (5-6), 280-290, 2004 | 78 | 2004 |
| Open-CSAM, a new tool for semi-automated analysis of myofiber cross-sectional area in regenerating adult skeletal muscle T Desgeorges, S Liot, S Lyon, J Bouvière, A Kemmel, A Trignol, ... Skeletal Muscle, 2019 | 74 | 2019 |
| Stochastic resonance for nonlinear sensors with saturation D Rousseau, JR Varela, F Chapeau-Blondeau Physical Review E 67 (2), 021102, 2003 | 73 | 2003 |
| Noise improvements in stochastic resonance: From signal amplification to optimal detection F Chapeau-Blondeau, D Rousseau Fluctuation and noise letters 2 (03), L221-L233, 2002 | 73 | 2002 |
| Multifractality, sample entropy, and wavelet analyses for age‐related changes in the peripheral cardiovascular system: Preliminary results A Humeau, F Chapeau–Blondeau, D Rousseau, P Rousseau, ... Medical Physics 35 (2), 717-723, 2008 | 71 | 2008 |
| Recent advances of Smart Systems and Internet of Things (IoT) for Aquaponics Automation: A comprehensive Overview MF Taha, G ElMasry, M Gouda, L Zhou, N Liang, A Abdalla, D Rousseau, ... Chemosensors, 2022 | 68 | 2022 |
| Stochastic resonance and improvement by noise in optimal detection strategies D Rousseau, F Chapeau-Blondeau Digital Signal Processing 15 (1), 19-32, 2005 | 68 | 2005 |
