Université d'Angers, France (former Université Lyon 1)
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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
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
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
Noise-enhanced performance for an optimal Bayesian estimator
F Chapeau-Blondeau, D Rousseau
IEEE Transactions on Signal Processing 52 (5), 1327-1334, 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
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
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
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
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
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
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
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
Stochastic resonance for nonlinear sensors with saturation
D Rousseau, JR Varela, F Chapeau-Blondeau
Physical Review E 67 (2), 021102, 2003
Stochastic resonance and improvement by noise in optimal detection strategies
D Rousseau, F Chapeau-Blondeau
Digital Signal Processing 15 (1), 19-32, 2005
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
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
Deep learning-based detection of seedling development
S Samiei, P Rasti, J LyVu, J Buitink, D Rousseau
Plant Methods, 2020
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
Utilization of Computer Vision and Multispectral imaging Techniques for Classification of Cowpea (Vigna unguiculata) Seeds
G ElMasry, D Nasser Mandour, MH Wagner, D Demilly, J Verdier, E Belin, ...
Plant Methods, 2019
Residual aperiodic stochastic resonance in a bistable dynamic system transmitting a suprathreshold binary signal
F Duan, D Rousseau, F Chapeau-Blondeau
Physical Review E 69 (1), 011109, 2004
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