David Rousseau

Orcid: 0000-0002-7935-1609

According to our database1, David Rousseau authored at least 100 papers between 2004 and 2023.

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Bibliography

2023
Growth Data - An automatic solution for seedling growth analysis via RGB-Depth imaging sensors.
SoftwareX, December, 2023

The Tracking Machine Learning Challenge: Throughput Phase.
Comput. Softw. Big Sci., December, 2023

Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person Identification.
Sensors, July, 2023

Ordinalysis: Interpretability of multidimensional ordinal data.
SoftwareX, May, 2023

On the Importance of Non-Gaussianity in Chlorophyll Fluorescence Imaging.
Remote. Sens., January, 2023

Exact Rényi and Kullback-Leibler Divergences Between Multivariate $t$-Distributions.
IEEE Signal Process. Lett., 2023

On the Use of Circadian Cycles to Monitor Individual Young Plants.
Remote. Sens., 2023

AI Competitions and Benchmarks: towards impactful challenges with post-challenge papers, benchmarks and other dissemination actions.
CoRR, 2023

Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI.
CoRR, 2023

PLANesT-3D: A New Annotated Data Set of 3D Color Point Clouds of Plants.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Parameter Estimation of the Normal Ratio Distribution with Variational Inference.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
A Common Tracking Software Project.
Comput. Softw. Big Sci., December, 2022

Multivariate Statistical Modeling for Multitemporal SAR Change Detection Using Wavelet Transforms and Integrating Subband Dependencies.
IEEE Trans. Geosci. Remote. Sens., 2022

A Generic Formula and Some Special Cases for the Kullback-Leibler Divergence between Central Multivariate Cauchy Distributions.
Entropy, 2022

Self-Supervised Learning for Functional Brain Networks identification in fMRI from Healthy to Unhealthy Patients.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

Multi-Temporal SAR Change Detection using Wavelet Transforms.
Proceedings of the 30th European Signal Processing Conference, 2022

CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2022

Artificial Intelligence for High Energy Physics
WorldScientific, ISBN: 9789811234040, 2022

2021
CTIS-Net: A Neural Network Architecture for Compressed Learning Based on Computed Tomography Imaging Spectrometers.
IEEE Trans. Computational Imaging, 2021

MicroVIP: Microscopy image simulation on the Virtual Imaging Platform.
SoftwareX, 2021

Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning.
Sensors, 2021

Resource-efficient inference for particle physics.
Nat. Mach. Intell., 2021

An analytical proof on suitability of Cauchy-Schwarz Divergence as the aggregation criterion in Region Growing Algorithm.
Image Vis. Comput., 2021

Deep Learning-Based Detection of Seedling Development from Indoor to Outdoor.
Proceedings of the Systems, Signals and Image Processing - 28th International Conference, 2021

Machine learning meets distinctness in variety testing.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Dimensionality Reduction for Ordinal Classification.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple Detection.
Sensors, 2020

Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space?
Frontiers Robotics AI, 2020

Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds.
CoRR, 2020

Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods.
CoRR, 2020

Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke.
Comput. Biol. Medicine, 2020

Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Machine Learning-Based Classification of Powdery Mildew Severity on Melon Leaves.
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

Towards an Understanding of Augmented Reality Extensions for Existing 3D Data Analysis Tools.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring - An Overview.
Sensors, 2019

Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density.
Remote. Sens., 2019

Connecting the dots in high-energy physics.
Nat. Mach. Intell., 2019

Repetitive motion compensation for real time intraoperative video processing.
Medical Image Anal., 2019

Novel data augmentation strategies to boost supervised segmentation of plant disease.
Comput. Electron. Agric., 2019

Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Advances in the Prospects for Realizing a Scientific General Theory Underpinning Systems Engineering.
Proceedings of the International Symposium on Systems Engineering, 2019

Data Augmentation From RGB to Chlorophyll Fluorescence Imaging Application to Leaf Segmentation of Arabidopsis thaliana From Top View Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Systemic Semantics: A Systems Approach to Building Ontologies and Concept Maps.
Syst., 2018

A Systematic Framework for Exploring Worldviews and Its Generalization as a Multi-Purpose Inquiry Framework.
Syst., 2018

On the Architecture of Systemology and the Typology of Its Principles.
Syst., 2018

Toward a Computer Vision Perspective on the Visual Impact of Vegetation in Symmetries of Urban Environments.
Symmetry, 2018

Machine learning at the energy and intensity frontiers of particle physics.
Nat., 2018

Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke.
Medical Image Anal., 2018

Transfer Learning from Synthetic Data Applied to Soil-Root Segmentation in X-Ray Tomography Images.
J. Imaging, 2018

Evaluation of 3D/2D Imaging and Image Processing Techniques for the Monitoring of Seed Imbibition.
J. Imaging, 2018

Machine Learning in High Energy Physics Community White Paper.
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CoRR, 2018

Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacks.
Comput. Biol. Medicine, 2018

Systematics aware learning : a case study in high energy physics.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Deep Generative Models for Fast Shower Simulation in ATLAS.
Proceedings of the 14th IEEE International Conference on e-Science, 2018


Low-cost vision machine for high-throughput automated monitoring of heterotrophic seedling growth on wet paper support.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Systems Research and the Quest for Scientific Systems Principles.
Syst., 2017

Robust graph representation of images with underlying structural networks. Application to the classification of vascular networks of mice's colon.
Pattern Recognit. Lett., 2017

Multicomponent and Longitudinal Imaging Seen as a Communication Channel - An Application to Stroke.
Entropy, 2017

A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait.
Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication?
Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

On the value of graph-based segmentation for the analysis of structural networks in life sciences.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Shape descriptors to characterize the shoot of entire plant from multiple side views of a motorized depth sensor.
Mach. Vis. Appl., 2016

On the value of the Kullback-Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebands.
Mach. Vis. Appl., 2016

Predicting sensorial attribute scores of ornamental plants assessed in 3D through rotation on video by image analysis: A study on the morphology of virtual rose bushes.
Comput. Electron. Agric., 2016

Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016

Robust real time motion compensation for intraoperative video processing during neurosurgery.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

The Advanced Exploitation of Mixed Reality (AEMR) Community of Interest.
Proceedings of the HCI International 2016 - Posters' Extended Abstracts, 2016

An unsupervised spatio-temporal regularization for perfusion MRI deconvolution in acute stroke.
Proceedings of the 24th European Signal Processing Conference, 2016

How machine learning won the Higgs boson challenge.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Computer vision under inactinic light for hypocotyl-radicle separation with a generic gravitropism-based criterion.
Comput. Electron. Agric., 2015

A longitudinal model for variations detection in white matter fiber-bundles.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Rényi divergence as contrast metric for object detection in noisy images.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

2014
A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain.
Medical Image Anal., 2014

The Higgs boson machine learning challenge.
Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014

Philosophical Foundations for the Modern Systems Movement.
Proceedings of the Systems Thinking - New Directions in Theory, Practice and Application: Proceedings of the Seventeenth IFSR Conversation: International Federation for Systems Research, St. Magdalena / Linz, Austria, April 27, 2014

3D Multimodal Simulation of Image Acquisition by X-Ray and MRI for Validation of Seedling Measurements with Segmentation Algorithms.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2012
The Software behind the Higgs Boson Discovery.
IEEE Softw., 2012

Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis.
Medical Biol. Eng. Comput., 2012

2011
Multiscale Analysis of Microvascular Blood Flow: A Multiscale Entropy Study of Laser Doppler Flowmetry Time Series.
IEEE Trans. Biomed. Eng., 2011

2010
Structural Similarity Measure to Assess Improvement by Noise in Nonlinear Image Transmission.
IEEE Signal Process. Lett., 2010

Fractal capacity dimension of three-dimensional histogram from color images.
Multidimens. Syst. Signal Process., 2010

Fractal Analysis Tools for Characterizing the Colorimetric Organization of Digital Images - Case Study using Natural and Synthetic Images.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Noise-enhanced nonlinear PDE for edge restoration in scalar images.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Impact of a Lossy Image Compression on Parameter Estimation with Periodic Active Thermal Imaging.
Proceedings of the IMAGAPP 2010 - Proceedings of the International Conference on Imaging Theory and Applications and IVAPP 2010 - Proceedings of the International Conference on Information Visualization Theory and Applications, Angers, France, May 17, 2010

2008
Fisher information and noise-aided power estimation from one-bit quantizers.
Digit. Signal Process., 2008

Pair Correlation Integral for Fractal Characterization of Three-Dimensional Histograms from Color Images.
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

2007
Noise-Improved Bayesian Estimation With Arrays of One-Bit Quantizers.
IEEE Trans. Instrum. Meas., 2007

Noise enhancement of signal transduction by parallel arrays of nonlinear neurons with threshold and saturation.
Neurocomputing, 2007

Using noise to improve measurement and information processing.
Proceedings of the ICINCO 2007, 2007

2006
Noise-enhanced nonlinear detector to improve signal detection in non-Gaussian noise.
Signal Process., 2006

2005
Constructive role of noise in signal detection from parallel arrays of quantizers.
Signal Process., 2005

Evaluation of a Nonlinear Bistable Filter for Binary Signal Detection.
Int. J. Bifurc. Chaos, 2005

Constructive Action of Additive Noise in Optimal Detection.
Int. J. Bifurc. Chaos, 2005

Stochastic resonance and improvement by noise in optimal detection strategies.
Digit. Signal Process., 2005

2004
Noise-enhanced performance for an optimal Bayesian estimator.
IEEE Trans. Signal Process., 2004

Neuronal Signal Transduction Aided by Noise at Threshold and at Saturation.
Neural Process. Lett., 2004


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