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2020 – today
- 2023
[j49]Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau
, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant:
The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. 7(1): 1 (2023)- [j48]Angelina El Ghaziri, Nizar Bouhlel, Natalia Sapoukhina, David Rousseau:
On the Importance of Non-Gaussianity in Chlorophyll Fluorescence Imaging. Remote. Sens. 15(2): 528 (2023) - 2022
- [b1]Paolo Calafiura, David Rousseau, Kazuhiro Terao:
Artificial Intelligence for High Energy Physics. WorldScientific 2022, ISBN 9789811234026, pp. 1-828 - [j47]Nizar Bouhlel, David Rousseau:
A Generic Formula and Some Special Cases for the Kullback-Leibler Divergence between Central Multivariate Cauchy Distributions. Entropy 24(6): 838 (2022) - [j46]Nizar Bouhlel, Vahid Akbari, Stéphane Méric, David Rousseau:
Multivariate Statistical Modeling for Multitemporal SAR Change Detection Using Wavelet Transforms and Integrating Subband Dependencies. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c34]Abderrazzaq Moufidi, David Rousseau, Pejman Rasti:
Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification. ANNPR 2022: 97-106 - [c33]Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel:
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. EMBC 2022: 3430-3434 - [c32]Nizar Bouhlel, David Rousseau:
Multi-Temporal SAR Change Detection using Wavelet Transforms. EUSIPCO 2022: 538-542 - [i5]Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel:
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. CoRR abs/2205.05545 (2022) - 2021
- [j45]Yasser Baleghi, David Rousseau:
An analytical proof on suitability of Cauchy-Schwarz Divergence as the aggregation criterion in Region Growing Algorithm. Image Vis. Comput. 115: 104312 (2021) - [j44]David Rousseau:
Resource-efficient inference for particle physics. Nat. Mach. Intell. 3(8): 656-657 (2021) - [j43]Hadhami Garbouge, Pejman Rasti, David Rousseau:
Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning. Sensors 21(24): 8425 (2021) - [j42]Ali Ahmad, Guillaume Vanel, Sorina Camarasu-Pop, Axel Bonnet, Carole Frindel, David Rousseau:
MicroVIP: Microscopy image simulation on the Virtual Imaging Platform. SoftwareX 16: 100854 (2021) - [j41]Clément Douarre, Carlos Fernando Crispim Junior, Anthony Gelibert, Gérald Germain, Laure Tougne, David Rousseau:
CTIS-Net: A Neural Network Architecture for Compressed Learning Based on Computed Tomography Imaging Spectrometers. IEEE Trans. Computational Imaging 7: 572-583 (2021) - [c31]Mouad Zine El Abidine, Helin Dutagaci, David Rousseau:
Dimensionality Reduction for Ordinal Classification. EUSIPCO 2021: 1531-1535 - [c30]Geoffroy Couasnet, Mouad Zine El Abidine, François Laurens, Helin Dutagaci, David Rousseau:
Machine learning meets distinctness in variety testing. ICCVW 2021: 1303-1311 - [c29]Hadhami Garbouge, Pejman Rasti, David Rousseau:
Deep Learning-Based Detection of Seedling Development from Indoor to Outdoor. IWSSIP 2021: 121-131 - [i4]Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant:
The Tracking Machine Learning challenge : Throughput phase. CoRR abs/2105.01160 (2021) - 2020
- [j40]Noëlie Debs, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, David Rousseau:
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke. Comput. Biol. Medicine 116: 103579 (2020) - [j39]Ali Ahmad, Carole Frindel, David Rousseau:
Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space? Frontiers Robotics AI 7: 39 (2020) - [j38]Salma Samiei, Pejman Rasti, Paul Richard, Gilles Galopin, David Rousseau:
Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple Detection. Sensors 20(15): 4173 (2020) - [c28]Xiyao Wang, Lonni Besançon, David Rousseau, Mickaël Sereno, Mehdi Ammi, Tobias Isenberg:
Towards an Understanding of Augmented Reality Extensions for Existing 3D Data Analysis Tools. CHI 2020: 1-13 - [c27]Mouad Zine El Abidine, Sabine Merdinoglu-Wiedemann, Pejman Rasti, Helin Dutagaci, David Rousseau:
Machine Learning-Based Classification of Powdery Mildew Severity on Melon Leaves. ICISP 2020: 74-81 - [c26]Ali Ahmad, Carole Frindel, David Rousseau:
Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images. IPTA 2020: 1-6 - [i3]Kaya Turgut, Helin Dutagaci, Gilles Galopin, David Rousseau:
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods. CoRR abs/2012.11489 (2020) - [i2]Mouad Zine El Abidine, Helin Dutagaci, Gilles Galopin, David Rousseau:
Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds. CoRR abs/2012.13721 (2020)
2010 – 2019
- 2019
- [j37]Clément Douarre, Carlos Fernando Crispim Junior, Anthony Gelibert, Laure Tougne, David Rousseau:
Novel data augmentation strategies to boost supervised segmentation of plant disease. Comput. Electron. Agric. 165 (2019) - [j36]Michaël Sdika, Laure Alston, David Rousseau, Jacques Guyotat, Laurent Mahieu-Williame, Bruno Montcel:
Repetitive motion compensation for real time intraoperative video processing. Medical Image Anal. 53: 1-10 (2019) - [j35]David Rousseau:
Connecting the dots in high-energy physics. Nat. Mach. Intell. 1(6): 288 (2019) - [j34]Pejman Rasti, Ali Ahmad, Salma Samiei, Étienne Belin, David Rousseau:
Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density. Remote. Sens. 11(3): 249 (2019) - [j33]Gamal ElMasry, Nasser Mandour, Salim Al-Rejaie, Étienne Belin, David Rousseau:
Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring - An Overview. Sensors 19(5): 1090 (2019) - [c25]Natalia Sapoukhina, Salma Samiei, Pejman Rasti, David Rousseau:
Data Augmentation From RGB to Chlorophyll Fluorescence Imaging Application to Leaf Segmentation of Arabidopsis thaliana From Top View Images. CVPR Workshops 2019: 2563-2570 - [c24]David Rousseau:
Advances in the Prospects for Realizing a Scientific General Theory Underpinning Systems Engineering. ISSE 2019: 1-5 - [c23]Noëlie Debs, Méghane Decroocq, Tae-Hee Cho, David Rousseau, Carole Frindel:
Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network. SASHIMI@MICCAI 2019: 151-160 - 2018
- [j32]Chloé Murtin, Carole Frindel, David Rousseau, Kei Ito:
Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacks. Comput. Biol. Medicine 92: 22-41 (2018) - [j31]Clément Douarre, Richard Schielein, Carole Frindel, Stefan Gerth, David Rousseau:
Transfer Learning from Synthetic Data Applied to Soil-Root Segmentation in X-Ray Tomography Images. J. Imaging 4(5): 65 (2018) - [j30]Étienne Belin, Clément Douarre, Nicolas Gillard, Florence Franconi, Julio Rojas Varela, François Chapeau-Blondeau, Didier Demilly, Jérôme Adrien, Eric Maire, David Rousseau:
Evaluation of 3D/2D Imaging and Image Processing Techniques for the Monitoring of Seed Imbibition. J. Imaging 4(7): 83 (2018) - [j29]Mathilde Giacalone, Pejman Rasti, Noëlie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, David Rousseau:
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke. Medical Image Anal. 50: 117-126 (2018) - [j28]Alexander Radovic, Mike Williams, David Rousseau, Michael Kagan, Daniele Bonacorsi, Alexander Himmel, Adam Aurisano, Kazuhiro Terao, Taritree Wongjirad:
Machine learning at the energy and intensity frontiers of particle physics. Nat. 560(7716): 41-48 (2018) - [j27]Salma Samiei, Pejman Rasti, Hervé Daniel, Étienne Belin, Paul Richard, David Rousseau:
Toward a Computer Vision Perspective on the Visual Impact of Vegetation in Symmetries of Urban Environments. Symmetry 10(12): 666 (2018) - [j26]David Rousseau:
On the Architecture of Systemology and the Typology of Its Principles. Syst. 6(1): 7 (2018) - [j25]David Rousseau, Julie Billingham:
A Systematic Framework for Exploring Worldviews and Its Generalization as a Multi-Purpose Inquiry Framework. Syst. 6(3): 27 (2018) - [j24]David Rousseau, Julie Billingham, Javier Calvo-Amodio:
Systemic Semantics: A Systems Approach to Building Ontologies and Concept Maps. Syst. 6(3): 32 (2018) - [c22]Pejman Rasti, Didier Demilly, Landry Benoit, Étienne Belin, Sylvie Ducournau, François Chapeau-Blondeau, David Rousseau:
Low-cost vision machine for high-throughput automated monitoring of heterotrophic seedling growth on wet paper support. BMVC 2018: 323 - [c21]Paolo Calafiura, Steven Farrell, Heather M. Gray, Jean-Roch Vlimant, Vincenzo Innocente, Andreas Salzburger, Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Victor Estrade, Cécile Germain, Isabelle Guyon, Ed Moyse, David Rousseau, Yetkin Yilmaz, Vladimir Vava Gligorov, Mikhail Hushchyn, Andrey Ustyuzhanin:
TrackML: A High Energy Physics Particle Tracking Challenge. eScience 2018: 344 - [c20]Dalila Salamani, Stefan Gadatsch, Tobias Golling, Graeme Andrew Stewart, Aishik Ghosh, David Rousseau, Ahmed Hasib, Jana Schaarschmidt:
Deep Generative Models for Fast Shower Simulation in ATLAS. eScience 2018: 348 - [c19]Victor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau:
Systematics aware learning : a case study in high energy physics. ESANN 2018 - [i1]Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata:
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - 2017
- [j23]Mathilde Giacalone, Carole Frindel, Emmanuel Grenier, David Rousseau:
Multicomponent and Longitudinal Imaging Seen as a Communication Channel - An Application to Stroke. Entropy 19(5): 187 (2017) - [j22]Denis Bujoreanu, Hugo Dorez, Warda Boutegrabet, Driffa Moussata, Raphaël Sablong, David Rousseau:
Robust graph representation of images with underlying structural networks. Application to the classification of vascular networks of mice's colon. Pattern Recognit. Lett. 87: 29-37 (2017) - [j21]David Rousseau:
Systems Research and the Quest for Scientific Systems Principles. Syst. 5(2): 25 (2017) - [c18]Denis Bujoreanu, Pejman Rasti, David Rousseau:
On the value of graph-based segmentation for the analysis of structural networks in life sciences. EUSIPCO 2017: 2664-2668 - [c17]Pierre Gard, Lucie Lalanne, Alexandre Ambourg, David Rousseau, François Lesueur, Carole Frindel:
A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait. HealthyIoT 2017: 3-9 - [c16]Carole Frindel, David Rousseau:
How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication? HealthyIoT 2017: 19-25 - 2016
- [j20]Morgan Garbez, Yann Chéné, Étienne Belin, M. Sigogne, J.-M. Labatte, G. Hunault, R. Symoneaux, David Rousseau, Gilles Galopin:
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. 121: 331-346 (2016) - [j19]Yann Chéné, David Rousseau, Étienne Belin, Morgan Garbez, Gilles Galopin, François Chapeau-Blondeau:
Shape descriptors to characterize the shoot of entire plant from multiple side views of a motorized depth sensor. Mach. Vis. Appl. 27(4): 447-461 (2016) - [j18]Landry Benoit, Romain Benoit, Étienne Belin, Rodolphe Vadaine, Didier Demilly, François Chapeau-Blondeau, David Rousseau:
On the value of the Kullback-Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebands. Mach. Vis. Appl. 27(5): 625-635 (2016) - [c15]Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau:
How machine learning won the Higgs boson challenge. ESANN 2016 - [c14]Mathilde Giacalone, Carole Frindel, David Rousseau:
An unsupervised spatio-temporal regularization for perfusion MRI deconvolution in acute stroke. EUSIPCO 2016: 1708-1712 - [c13]Maria Olinda Rodas, Jeff Waters, David Rousseau:
The Advanced Exploitation of Mixed Reality (AEMR) Community of Interest. HCI (27) 2016: 82-91 - [c12]Michaël Sdika, Laure Alston, Laurent Mahieu-Williame, Jacques Guyotat, David Rousseau, Bruno Montcel:
Robust real time motion compensation for intraoperative video processing during neurosurgery. ISBI 2016: 1046-1049 - [c11]Mathilde Giacalone, Carole Frindel, Marc C. Robini, David Rousseau:
Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke. IWSSIP 2016: 1-4 - 2015
- [j17]Landry Benoit, Étienne Belin, Carolyne Dürr, François Chapeau-Blondeau, Didier Demilly, Sylvie Ducournau, David Rousseau:
Computer vision under inactinic light for hypocotyl-radicle separation with a generic gravitropism-based criterion. Comput. Electron. Agric. 111: 12-17 (2015) - [c10]Aymeric Histace, David Rousseau:
Rényi divergence as contrast metric for object detection in noisy images. IPTA 2015: 199-204 - [c9]Claudio Stamile, Gabriel Kocevar, François Cotton, Salem Hannoun, Françoise Durand-Dubief, Carole Frindel, David Rousseau, Dominique Sappey-Marinier:
A longitudinal model for variations detection in white matter fiber-bundles. IWSSIP 2015: 57-60 - 2014
- [j16]Carole Frindel, Marc C. Robini, David Rousseau:
A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain. Medical Image Anal. 18(1): 144-160 (2014) - [c8]Landry Benoit, Georges Semaan, Florence Franconi, Étienne Belin, François Chapeau-Blondeau, Didier Demilly, David Rousseau:
3D Multimodal Simulation of Image Acquisition by X-Ray and MRI for Validation of Seedling Measurements with Segmentation Algorithms. ECCV Workshops (4) 2014: 131-139 - [c7]Jennifer Wilby, David Rousseau, Manfred Drack, Gerald Midgley, Julie Billingham, Rainer Zimmermann:
Philosophical Foundations for the Modern Systems Movement. IFSR Conversation 2014: 43-53 - [c6]Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau:
The Higgs boson machine learning challenge. HEPML@NIPS 2014: 19-55 - 2012
- [j15]Stéphanie Bricq, Guillaume Mahé, David Rousseau, Anne Humeau-Heurtier, François Chapeau-Blondeau, Julio Rojas Varela, Pierre Abraham:
Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis. Medical Biol. Eng. Comput. 50(10): 1017-1023 (2012) - [j14]David Rousseau:
The Software behind the Higgs Boson Discovery. IEEE Softw. 29(5): 11-15 (2012) - 2011
- [j13]Anne Humeau, Guillaume Mahé, François Chapeau-Blondeau, David Rousseau, Pierre Abraham:
Multiscale Analysis of Microvascular Blood Flow: A Multiscale Entropy Study of Laser Doppler Flowmetry Time Series. IEEE Trans. Biomed. Eng. 58(10): 2970-2973 (2011) - 2010
- [j12]Julien Chauveau, David Rousseau, François Chapeau-Blondeau:
Fractal capacity dimension of three-dimensional histogram from color images. Multidimens. Syst. Signal Process. 21(2): 197-211 (2010) - [j11]David Rousseau, Agnès Delahaies, François Chapeau-Blondeau:
Structural Similarity Measure to Assess Improvement by Noise in Nonlinear Image Transmission. IEEE Signal Process. Lett. 17(1): 36-39 (2010) - [c5]Agnès Delahaies, David Rousseau, Laetitia Perez, Laurent Autrique, François Chapeau-Blondeau:
Impact of a Lossy Image Compression on Parameter Estimation with Periodic Active Thermal Imaging. IMAGAPP/IVAPP 2010: 17-22 - [c4]Aymeric Histace, David Rousseau:
Noise-enhanced nonlinear PDE for edge restoration in scalar images. SoCPaR 2010: 458-461 - [c3]Julien Chauveau, David Rousseau, Paul Richard, François Chapeau-Blondeau:
Fractal Analysis Tools for Characterizing the Colorimetric Organization of Digital Images - Case Study using Natural and Synthetic Images. VISAPP (2) 2010: 245-248
2000 – 2009
- 2008
- [j10]François Chapeau-Blondeau, Solenna Blanchard, David Rousseau:
Fisher information and noise-aided power estimation from one-bit quantizers. Digit. Signal Process. 18(3): 434-443 (2008) - [c2]Julien Chauveau, David Rousseau, François Chapeau-Blondeau:
Pair Correlation Integral for Fractal Characterization of Three-Dimensional Histograms from Color Images. ICISP 2008: 200-208 - 2007
- [j9]Solenna Blanchard, David Rousseau, François Chapeau-Blondeau:
Noise enhancement of signal transduction by parallel arrays of nonlinear neurons with threshold and saturation. Neurocomputing 71(1-3): 333-341 (2007) - [j8]David Rousseau, François Chapeau-Blondeau:
Noise-Improved Bayesian Estimation With Arrays of One-Bit Quantizers. IEEE Trans. Instrum. Meas. 56(6): 2658-2662 (2007) - [c1]Solenna Blanchard, David Rousseau, François Chapeau-Blondeau:
Using noise to improve measurement and information processing. ICINCO-SPSMC 2007: 268-271 - 2006
- [j7]David Rousseau, G. V. Anand, François Chapeau-Blondeau:
Noise-enhanced nonlinear detector to improve signal detection in non-Gaussian noise. Signal Process. 86(11): 3456-3465 (2006) - 2005
- [j6]David Rousseau, François Chapeau-Blondeau:
Stochastic resonance and improvement by noise in optimal detection strategies. Digit. Signal Process. 15(1): 19-32 (2005) - [j5]David Rousseau, Julio Rojas Varela, Fabing Duan, François Chapeau-Blondeau:
Evaluation of a Nonlinear Bistable Filter for Binary Signal Detection. Int. J. Bifurc. Chaos 15(2): 667-679 (2005) - [j4]François Chapeau-Blondeau, David Rousseau:
Constructive Action of Additive Noise in Optimal Detection. Int. J. Bifurc. Chaos 15(9): 2985-2994 (2005) - [j3]David Rousseau, François Chapeau-Blondeau:
Constructive role of noise in signal detection from parallel arrays of quantizers. Signal Process. 85(3): 571-580 (2005) - 2004
- [j2]David Rousseau, François Chapeau-Blondeau:
Neuronal Signal Transduction Aided by Noise at Threshold and at Saturation. Neural Process. Lett. 20(2): 71-83 (2004) - [j1]François Chapeau-Blondeau, David Rousseau:
Noise-enhanced performance for an optimal Bayesian estimator. IEEE Trans. Signal Process. 52(5): 1327-1334 (2004)
Coauthor Index
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