Books
5- D Tschumperle, C Tilmant, V Barra. Digital Image Processing with C++ - Implementing Reference Algorithms with the CImg Library. CRC Press, 2023.
4- V Barra. Informatique MP2I et MPI - CPGE scientifiques 1re et 2e années - Nouveaux programmes. Eds. Ellipses, 2021.
3- D Tschumperle, C Tilmant, V Barra. Le traitement numérique des images en C++ - Implémentation d’algorithmes avec la bibliothèque CImg. Eds. Ellipses, 2021.
2- V Barra, A Cornuejols, L Miclet. Apprentissage artificiel - 4e édition: De Bayes et Hume au Deep Learning. Concepts et algorithmes. Eds. Eyrolles, 2021.
1- A Cornuejols, L Miclet, V Barra. Apprentissage artificiel - 3e édition: Concepts et algorithmes. Eds. Eyrolles, 2018.
Book chapters
5- G Fillières-Riveau, J-M Favreau, V Barra, G Touya. Conception de cartes en relief pour les personnes déficientes visuelles . In Cartographies en mouvement, Ed Territoires, pp 203-216, 2021.
4- V Barra. Mathématiques et Imagerie Médicale. In Les mathématiques en Auvergne , Ed Revue d’Auvergne, pp 81-108, 2014.
3- J Montagner, V Barra. Multilevel Information Fusion : A Mixed Fuzzy Logic/Geometrical Approach with Applications in Brain Image Processing. in Sensor and Data Fusion, In-Teh, Nada Milisavljevic Eds, 299-322, 2009.
2- J Montagner, L Buzer, V Barra, JP Reveilles, JY Boire. Utilisation de la géométrie discrète pour la fusion d’images anatomiques et fonctionnelles. In Télémédecine et e-santé, R Beuscart,P Zweigenbaum,A Venot,P Degoulet, Springer eds., 2002.
1- E Frenoux, V Barra, JY Boire. Segmentation du striatum par fusion d’informations numériques et symboliques. In Télémédecine et e-santé, R Beuscart,P Zweigenbaum,A Venot,P Degoulet, Springer eds., 2002.
Submitted
2- O Chakoory, S Comtet-Marre, U Troin, A Ceballos-Garzon, E Rochette, F Magne, E Merlin, V Barra, M Pons, P Peyret, Nearly perfect prediction of necrotizing enterocolitis from Deep neural network through dynamically species-level gut microbiome characterization in premature infants, Gut, 2024
1- L Vaslin, S Calvet, V. Barra, J Donini, Fitting the BumpHunter test statistic distribution and global p-value estimation, SciPost Physics, 2024.
Journal articles
52- G-M Cherchi, A Dequidt, A Guillin, N Martzel, P Hauret, V Barra, ML-GLE: a machine learning enhanced Generalized Langevin equation framework for transient anomalous diffusion in polymer dynamics, Journal of Computational Physics, 2024
51- M Giannoulis, S Pailot-Bonnétat, V Barra, A Harris, External factors driving surface temperature changes above geothermal systems: answers from Deep Learning , Frontiers Special Issue “Applications of Machine Learning in Volcanology”, 2024
50- M Dannehl, V Delouille, V Barra, An experimental study on EUV-to-magnetogram image translation using conditional Generative Adversarial Networks, Earth and Space Science, 2024
49- O Chakoory, V Barra, E Rochette, L Blanchon,V Sapin, E Merlin, M Pons, D Gallot, S Comtet-Marre, P Peyret, DeepMPTB: Deep neural network for predicting the risk of preterm birth through vaginal microbiome exploration , Biomarker research, 2024
48- A Ferchichi, A Ben Abbes, V Barra, M. Rhif, I.R Farah. Multi-Attention Generative Adversarial Network for Multi-Step Vegetation Indices Forecasting using Multivariate Time Series, Engineering Applications of Artificial Intelligence, Vol. 128, 2024.
47- L Vaslin, V. Barra, J Donini. GAN-AE, An anomaly detection algorithm for New Physics search in LHC data The European Physical Journal C, 83: 1008, 2023
46- J Zhang, Y Yu, V Barra, X Ruan, Y Chen, B Cai, Feasibility study on using house-tree-person drawings for automatic analysis of depression, Computer Methods in Biomechanics and Biomedical Engineering, 2023
45- L Vaslin, S Calvet, V. Barra, J Donini, pyBumpHunter: A model independent bump hunting tool in Python for High Energy Physics analyses , SciPost Physics, 15, 2023
44- M Giannoulis, A Harris, V Barra, DITAN: A deep-learning domain agnostic framework for Detection and Interpretation of Temporally-based multivariate ANomalies , Pattern Recognition, 143, 2023
43- A. El Kaid, D.Brazey, V. Barra, K.Baïna. Top-Down System for Multi-Person 3D Absolute Pose Estimation from Monocular Videos. Sensors, 22, 2022.
42- A Ferchichi, A Ben Abbes, V Barra, I.R Farah. Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review. Ecological Informatics, 68, 2022.
41- V Barra. Segmentation d’images. Tangente, Hors série 77, 2021.
40- V Barra. Les mathématiques de l’imagerie. Tangente, Hors série 77, 2021.
39- G Fillières-Riveau, JM Favreau, V Barra, G Touya. Génération de cartes tactiles photoréalistes pour personnes déficientes visuelles par apprentissage profond. Revue Internationale de Géomatique, 1-2, 105-126, 2020.
38- A Sellami, A Ben Abbes, V Barra, I.R Farah. Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification. Pattern Recognition Letters, 138, 2020.
37- A Ben Abbess, M Farah, I Riadh Farah, V Barra. A non-stationary NDVI time series modelling using triplet Markov chain. International Journal of Information and Decision Sciences, 11, 2019.
36- N Spatola, C Belletier, P Chausse, M Augustinova, A Normand, V Barra, L Ferrand, P Huguet. Improved cognitive control in presence of anthropomorphized robots. International Journal of Social Robotics, 11: 463–476,2019.
35- V Barra. Apprentissage automatique et réseaux de neurones. Tangente, Hors série 68, pp 44-47, 2018.
34- N Spatola, C Belletier, A Normand, P Chausse, S Monceau, M Augustinova, V Barra, P Huguet, L Ferrand. Not as bad as it seems: When the presence of a threatening humanoid robot improves human performance Science Robotics, 3, eaat5843, 2018.
33- M Bombrun, D Jessop, A Harris, V Barra. An algorithm for the detection and characterisation of volcanic plumes using thermal camera imagery Journal of Volcanology and Geothermal Research,352: 26-37, 2018.
32- N Settouti, M Chick, V Barra. A new feature selection approach based on ensemble methods in semi-supervised classification Pattern Analysis and Applications, 20,3:673-686, 2017.
31- M El Bechar, N Settouti, V Barra, M Chick. Semi-supervised superpixel classification for medical images segmentation : application to detection of glaucoma disease. Multidimensional Systems and Signal Processing, 2017.
30- A Ben Abbess, I Riadh Farah, V Barra. Urban Growth Analysis Using Multi-Temporal Satellite Images, Non-stationary Decomposition Methods and Stochastic Modeling International Journal of Computer and Information Engineering, 10:10, 1880-1886, 2016.
29- M Bombrun, L Spampinato, A Harris, V Barra, T Caltabiano. On the transition from strombolian to fountaining activity: a thermal energy-based driver Bulletin of Volcanology, 78,15, 2016.
28- M Bombrun, A Harris, L Gurioli, J Battaglia, V Barra. Anatomy of a strombolian eruption : Inferences from particle data recorded with thermal video Journal of Geophysical Research,120,4 : 2367–2387, 2015.
27- V Barra, S Biasotti. 3D Shape retrieval and classification using Multiple Kernel Learning on Extended Reeb Graphs The Visual Computer, 30 (11) 1247-1259, 2014.
26- M Bombrun, V Barra, A Harris. Algorithm for particle detection and parameterization in high-frame-rate thermal video Journal of Applied Remote Sensing, 8(1), 083549, 2014.
25- H Essid, I Riadh Farah, V Barra. Towards an Intelligent Predictive Model for Analyzing Spatio-Temporal Satellite Image Based on Hidden Markov Chain Advances in Remote Sensing, 2 : 247-257, 2013.
24- C Haen, V Barra, E Bonaccorsi, N Neufeld. Phronesis, a diagnosis and recovery tool for system administrators. Journal of Physics: Conference Series, Volume 513, 2013.
23- V Barra, S Biasotti. 3D shape retrieval using Kernels on Extended Reeb Graphs Pattern Recognition, 46:2985–2999, 2013.
22- H Ben Touhami, R Lardy, V Barra, G Bellocchi. Screening parameters in the Pasture Simulation model using the Morris method Ecological Modelling, 266, 42-57, 2013.
21- A Harris, J Battaglia, F Donnadieu, L Gurioli, K Kelfoun, P Labazuy, G Sawyer, S Valade, M Bombrun, V Barra, D Delle Donne, G Lacanna. Modern Multispectral Sensors Help Track Explosive Eruptions. EOS, Transactions American Geophysical Union, 94:321-328, 2013.
20- T Penne, C Tilmant, T Chateau, V Barra. Markov Chain Monte Carlo Modular Ensemble Tracking Image and Vision Computing, 31,6-7:434-447, 2013.
19- H Essid, I Riadh Farah, A Sellami, V Barra. Monitoring intra-urban changes with Hidden Markov Models using the spatial relationships International Journal on Graphics, Vision and Image Processing, 12,1:49-55, 2012.
18- O Acosta, J Fripp, V Dore, P Bourgeat, JM Favreau, G Chetelat, A Rueda, A Villemagne, C Szoekea, D Ames, R Martins, C Masters, C Rowe, E Bonner, F Gris, D Xiao, P Raniga, V Barra, O Salvado. Cortical surface mapping using topology correction‚ partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer’s disease Journal of Neuroscience Methods, 205:96-109, 2012.
17- JM Favreau, V Barra. Tiling surfaces with cylinders using n-loops Computers & Graphics, 35,1:35-42, 2011.
16- C Militon, D Boucher, C Vachelard, V Barra, J Troquet, E Peyretaillade, P Peyret. Bacterial community changes during bioremediation of aliphatic hydrocarbons-contaminated soil FEMS Microbiology Ecology, 74=669–681, 2010.
15- V Barra, V Delouille, M Kretzschmar, JF Hochedez. Fast and robust segmentation of solar EUV images : algorithm and results for solar cycle 23 Astronomy and Astrophysics, 505, 361-371, 2009.
14- F Klauschen, A Goldman, V Barra, A Meyer-Lindenberg, A Lundervold. Evaluation of MR-brain-volumetry methods Human Brain Mapping, 30, 1310-1327, 2008.
13- V Barra, V Delouille, JF Hochedez. Segmentation of Extreme Ultraviolet Solar Images via Multichannel Unsupervised Fuzzy Clustering Advances in Space Research, 42 : pp 917–925, 2008.
12- C Vidal, V Barra, R Nicolson, JY Boire, T DeVito, J Geaga, K Hayashi, D Drost, P Williamson, N Rajakumar, A Toga, P Thompson. Three-dimensional mapping of the lateral ventricles in autism Psychiatry Research, NeuroImaging, 163, 106-115, 2008.
11- C Milton, S Rimour, M Missaoui, C Petit-Bederrel, V Barra, D Hill, A Mone, G Gagne, E Peyretaillade, P Peyret. PhylArray : Phylogenetic Probe Design Algorithm For MicroArray Bioinformatics 23:2550-2557, 2007.
10- V Barra. Robust segmentation and analysis of DNA microarray spots using an adaptative split and merge algorithm Computer Methods and Programs in Biomedicine 81:174-180, 2006.
9- V Barra. Analysis of Gene Expression Data using Functional Principal Components Computer Methods and Programs in Biomedicine 75:1-9, 2004.
8- N Boussion, L Cinotti, V Barra, P Ryvlin, F Maugiere. Extraction of epileptogenic foci from PET and SPECT images by fuzzy modeling and data fusion NeuroImage, 19:646-654, 2003.
7- H Rebai, V Barra, A Laborde, JM Bonny, G Poumarat, J Coudert. Effects of two electrical stimulation Frequencies on thigh Muscles after knee Surgery International Journal of Sports Medicine 23:604-609, 2002.
6- V Barra, JY Boire. Segmentation of Fat and Muscle from MR Images of the Thigh by a possibilistic clustering Algorithm Computer Methods and Programs in Biomedicine 68:185-193, 2002.
5- V Barra, E Frenoux, JY Boire. Automatic volumetric measurement of lateral ventricles on MR images with correction of partial volume effects Journal of Magnetic Resonance Imaging 15:16-22, 2002.
4- V Barra, JY Boire. Automatic Segmentation of subcortical brain Structures in MR Images using Information Fusion IEEE Transactions on Medical Imaging 20:549-58, 2001.
3- V Barra, JY Boire. A General Framework for the Fusion of Anatomical and Functional Medical Images NeuroImage 13:410-424, 2001.
2- B Morio, V Barra, P Ritz, N Fellmann, JM Bonny, B Beaufrere, JY Boire, M Vermorel. Benefit of Endurance Training in elderly People over a short Period of Time is reversible European Journal of Applied Physiology 81:326-336, 2000.
1- V Barra, JY Boire. Tissue Segmentation on MR Images by a possibilistic Clustering on a 3D Wavelet Representation Journal of Magnetic Resonance Imaging 11:267-278, 2000.
Conference proceedings
73- D. Benhaddouche, A. Chateauneuf , V. Barra, Spatio-temporal graph neural network for damage detection and global structural condition assessment, Proceedings of ICSI, Funchal, 1-4 september 2025
72- I Sanou, J Baderot, A Hallal, V Barra, S Martinez, J Foucher, Deep Learning-Based on Feature Enhancement Module for Outer and Inner Object Segmentation in Semiconductor Images: Applications in Annotation and Metrology, Proceedings of QCAV 2025, Yamanashi, 1-4 june 2025
71- G. Levillain, P. Beaurepaire, V. Barra, Neural network-based probability density function identification, 34-th European Safety and Reliability Conference, 2024
70- G.M. Cherchi, A. Dequidt, V. Barra, P. Hauret, A. Guillin, N. Martzel, ML-Enhanced Generalized Langevin Equation for simulating Transient Anomalous Diffusion in Polymer Melts, Machine Learning and the Physical Sciences Workshop at the 37th conference on Neural Information Processing Systems (NeurIPS), 2023
69- G.M. Cherchi, A. Dequidt, V. Barra, P. Hauret, A. Guillin, N. Martzel, Discovering Long-term Polymer Dynamics with Generative Deep Neural Networks, Workshop on Machine Learning for Multiscale Molecular Modeling, 2023.
68- D. Benhaddouche, A. Chateauneuf , V. Barra, Identification et localisation des défauts structuraux sur les ponts par auto-encodeur profond, Proc 12èmes Journées de Fiabilité des Matériaux et des Structures, 2023.
67- A. El Kaid, K. Baina, J. Baina, V. Barra. Real-world case study of a deep learning enhanced Elderly Person Fall Video-Detection System. VISAPP 2023, 2023.
66- J. Baderot, A. Hallal, M. Jacob, V. Barra, A. Guillin, S. Martinez, J. Foucher. A generic deep-learning based defect segmentation model for electron micrographs for automatic defect inspection.. SPIE Advanced Lithography, 2023.
65- T Khan, S Kupis, V Barra. Deep Learning Approaches for Computational Inverse Problem in Electrical Impedance Tomography.. In Spring Southeastern Virtual Sectional Meeting), 2021.
64- S Kupis, V Barra, T Khan. Electrical Impedance Tomography using Sparsity Regularization and Machine Learning Approach.. In SIAM Conference on Imaging Science (IS20), 2020.
63- A Fabre, V Barra, N Spatola, JC Croizet, L Ferrand, C Bouquet, P Chausse, S Monceau, P Huguet. Automatisation par intelligence artificielle des conditions d’anthropomorphisation d’un robot socio-humanoïde avec le jeu du Memory.. In Workshop sur les “Affects, Compagnons Artificiels et Interactions”, 2020.
62- T Khan, S Kupis, V Barra. Machine learning approach for image reconstruction in electrical impedance tomography inverse problem. Preliminary report.. In Proc of Joint Mathematics Meeting, Denver Colorado, 2020.
61- G Fillières-Riveau, JM Favreau, V Barra, G Touya. Enrichissement d’orthophotographie par des données OpenStreetMap pour l’apprentissage machine. In Proc of International Conference on Spatial Analysis and GEOmatics (SAGEO19), 2019.
60- V Barra, V Delouille. Image-to-image translation model to generate magnetogram out of EUV images. In Proc of Machine Learning in Heliophysics, 2019.
59- K Le Cornec, V Barra. Détection d’émotions sur données multimodales restreintes par réseaux triples. In Proc of CAP 2019, 2019.
58- N Spatola, C Belletier, P Chausse, M Augustinova, A Normand, V Barra, P Huguet, L Ferrand. Social robots will boost your cognitive performance. In The 2017 Bangor Social Robotics Workshop on the Emerging Social Neuroscience of Human-Robot Interaction, 2017.
57- A Ben Abbess, H Essid, I Riadh Farah, V Barra. Urban Growth Analysis Using Multi- Temporal Satellite Images, Non-Stationary Decomposition Methods and Stochastic Modeling. ICIAP, 2016.
56- K LeCornec, O Verdier, A Lundervold, V Barra, A Lundervold. Python-based software for medical imaging and machine learning - an example from brain imaging. In Proceedings of 1Oth MedViz Conference, 7-9 Sept, Bergen, 2016.
55- M Bombrun, D Jessop, V Barra, A Harris. Plume tracking algorithm : Parameterisation of volcanic plume dynamics. In Proc of the 26th general Assembly of IUGG, Prague, 2015.
54- M Bombrun, V Barra, A Harris. Analysis of Thermal Video for Coarse to Fine Particle Tracking in Volcanic Explosion Plume. SCIA’15, 2015.
53- A Ben Abbess, H Essid, I Riadh Farah, V Barra. Rare events detection in NDVI time-series using Jarque-Bera test. IGARSS, 2015.
52- A Ben Abbess, H Essid, I Riadh Farah, V Barra. An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection. IEEE IPAS, 2014.
51- C Haen, V Barra, E Bonaccorsi, N Neufeld. Artificial intelligence in the service of system administrators. In Journal of Physics: Conference Series, 513 062021, 2014.
50- A Ben Abbess, H Essid, I Riadh Farah, V Barra. A study of changes prediction by HMM with non-stationarity image data: Case of urban area. ASTIP, 2014.
49- H Aboubacar, V Barra, G Loosli. 3D shape retrieval using uncertain semantic query : a preliminary study. ICPRAM’14, 2014.
48- H Ben Touhami, R Lardy, K Klumpp, G Bellocchi, V Barra. Bayesian calibration of the Pasture Simulation model (PaSim) to simulate emissions from long-term European grassland sites: a case study at Laqueuille (France). In Proceedings of Greenhouse Gases and Animal Agriculture, Dublin, June, 2013.
47- A Ben Abbess, H Essid, I Riadh Farah, V Barra. Seasonal Vegetation Prediction from Satellite image using Hidden Markov Model. AITSRP, 2013.
46- M Bombrun, V Barra, A Harris. Particle detection and velocity prediction for volcanic eruptions : a preliminary study. IAVCEI, 2013.
45- S Valade, A Harris, G Sawyer, F Donnadieu, P Labazuy, K Kelfoun, M Bombrun, V Barra, C Hervier, M Ripepe, D Delle Donne, G Lacanna, M Burton, L Chevalier, T Stachowicz. Full bandwidth remote sensing for total parameterization of volcanic plumes. IAVCEI, 2013.
44- V Barra, S Biasotti. Learning Kernels on Extended Reeb Graphs for 3D shape classification and retrieval. In Proc of Eurographics Workshop on 3D Object Retrieval, Girona, Spain, 2013.
43- T Welte, C de Ribet, R Eikeland, E Hanson, E Hodneland, V Barra, A Lundervold. Assessing functional brain connectivity changes in cognitive aging using RS-fMRI and graph theory. In Proc. of 21st International Symposium on Mathematical Programming, Berlin, August 19-24, 2012.
42- JM Favreau, S Biasotti, V Barra, M Spagnuolo. Surface quadrangulations using scalar functions. In Proc of Eurographics Symposium on Geometry Processing Tallinn University of Tech, 2012.
41- H Ben Touhami, R Lardy, M Bahn, G Bellocchi, V Barra. Bayesian calibration of the Pasture Simulation model (PaSim) to simulate emissions from long-term European grassland sites: a case study at Laqueuille (France). In Proceedings of Probabilistic Safety Assessment and Management Conference, Helsinki, Finland, 25–29 June, 2012.
40- H Ben Touhami, R Lardy, A Gilgen, N Buchmann, G Bellocchi, V Barra. Bayesian calibration of the Pasture Simulation Model (PaSim) to simulate Swiss grasslands under climate extremes.. In Proceedings of 12th Congress of the European Society for Agronomy, Helsinki, Finland, 25–29 June, 2012.
39- H Essid, A ben Abbess, I Riadh Farah, V Barra. Spatio-temporal modeling based on hidden Markov model for object tracking in satellite imagery. SETIT, 2012.
38- T Penne, C Tilmant, T Chateau, V Barra. MCMC Modular Ensemble Tracking. VISAPP, 2012.
37- B Mampaey, V Delouille, C Verbeeck, JF Hochedez, V Barra. Fast and Robust Segmentation of Solar EUV Images: Towards Real Time Use in the Age of SDO. In Bulletin of the American Astronomical Society, American Astronomical Society Meeting Abstracts #216, 2010.
36- F Gris, JM Favreau, O Acosta, V Barra, O Salvado. A combined voxel and surface based method for topology correction of brain surfaces. SPIE Medical Imaging, 2010.
35- E Innocenti, S Luquet, D Hill, V Barra. Model driven Engineering for a Transcranial Magnetic Stimulation simulation. ESM’10, 2010.
34- T Penne, C Tilmant, T Chateau, V Barra. Modular Ensemble Tracking. IPTA, 2010.
33- JM Favreau, V Barra. Tiling Surfaces with Cylinders Using n-loops. SMI, 2010.
32- JM Favreau, S Biasotti, V Barra, M Spagnuolo. N-loop computation using scalar functions. In Proc of Seventh International Conference on Curves and Surfaces, Avignon, 2010.
31- V Barra. Expanding the Local Binary Pattern to Multispectral Images Using Total Orderings. VISAPP’10, 2010.
30- JM Favreau, V Barra. Low-resolution Surface Mapping : a Topological and Geometrical Approach. EuroCG’09, 2009.
29- JM Favreau, V Barra. Cutting an organic surface. EuroCG’09, 2009.
28- JM Favreau, V Barra. Conformal Flattening of the Cortical Surface using a Topological and Geometrical Cutting. SEECCM’09, 2009.
27- V Barra, V Delouille, JF Hochedez. Segmentation, Tracking and Characterization of Solar Features from EIT Solar Corona Images. SCIA’09, 2009.
26- V Barra, A Lundervold. A Collaborative Software Tool for the Evaluation of MRI Brain Segmentation Methods. ISITC’07, 2007.
25- V Barra, V Delouille, JF Hochedez. Segmentation of Extreme Ultraviolet Solar Images using a Multispectral Data Fusion Process. IEEE’Fuzz, 2007.
24- JM Favreau, S Hemm, C Nuti, J Coste, V Barra, JJ Lemaire. A Tool for Topographic Analysis of Electrode Contacts in Human Cortical Stimulation. ICCV-07, 2007.
23- M Kretzschmar, JF Hochedez, V Delouille, V Barra, T Dudok de Witte. Synergies between solar UV radiometry and imaging. COSPAR, 2006.
22- C Militon, A Mone, S Terrat, S Rimour, V Barra, M Bonnet, B Chebance, G Gagne, O Goncalves, E Peyretaillade, P Veissiere, P Peyret. New algorithms development and SSU rRNA-gene based microarray validation to identify degrading microorganisms during bioremediation processes in soils. ISME, 2006.
21- J Montagner, V Barra, JY Boire. A Geometrical Approach to Multiresolution Management in the Fusion of Digital Images. VIEW’06, 2006.
20- S Luquet, V Barra, JJ Lemaire. Transcranial Magnetic Stimulation : Magnetic Field Computation in empty free space. IEEE EMBS’05, 2005.
19- J Montagner, V Barra, JY Boire. Synthesis of a Functional Information with Anatomical Landmarks by Multiresolution Fusion of Brain Images. IEEE EMBS’05, 2005.
18- S Luquet, V Barra, C Haug, JJ Lemaire. Development of a software for transcranial magnetic stimulation : potential magnetic field mapping on human brain. IBMISPS’06, 2005.
17- V Barra, V Delouille, JF Hochedez, P Chainais. Segmentation of EIT Images using a fuzzy clustering algorithm : a preliminary study. In Proc of European SPM-11, Leuven, 2005.
16- J Montagner, V Barra, JP Reveilles, JY Boire. Multiresolution Images Fusion for the Quantification of Neuronal Activity: A Discrete Approach. In Proc of 3rd IASTED International Conference on Biomedical Engineering, Innsbruck, 2005.
15- E Frenoux, V Barra, MO Habert, JY Boire. A New Method for the Quantitative Study of Neurotransmission. In Proc of 24th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Cancun, 2003.
14- E Frenoux, V Barra, JY Boire. Quantification of neurotransmission defects in functional imaging using information fusion: A prospective study. IPMU’02, 2002.
13- H Rebai, V Barra, JM Bonny, G Poumarat, J Coudert. Thigh muscle volumes and proton T2 relaxation time after reconstruction of the anterior cruciate ligament and 12 weeks of rehabilitation. In Proc of Non Invasive investigation of muscle function Workshop, Marseille, 2001.
12- V Barra, JY Boire. Quantification of muscle/fat ratio on MR images of thighs using a fuzzy clustering algorithm. In Proc of Non Invasive investigation of muscle function Workshop, Marseille, 2001.
11- H Rebai, A Laborde, V Barra, M Delaitre, S Boisgard, L Coudeyre, J Coudert. Effects of two electrical Stimulation Frequencies on thigh Muscles after knee Surgery. In Proc of Sixth Annual Congress of the European College of Sport Science, Kohn, Germany, 2001.
10- V Barra, JJ Lemaire, F Durif, JY Boire. Segmentation of the Subthalamic Nucleus in MR Images Using Information Fusion - A Preliminary Study for a Computed-Aided Surgery of Parkinson’s Disease. MICCAI, 2001.
9- V Barra, P Briandet, JY Boire. Fusion in Medical Imaging: Theory, Interests and Industrial Applications. In MEDINFO 2001 - Proceedings of the 10th World Congress on Medical Informatics, London, UK, 2001.
8- E Frenoux, V Barra, JY Boire. Segmentation of the striatum using data fusion,. In Proc of 22th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istambul, 2001.
7- V Barra, JY Boire. Segmentation of muscle and fat compartments from MR images using a fuzzy clustering algorithm. In Proc of ISMRM’O1, Glasgow, 2001.
6- V Barra, JY Boire. Quantification of brain tissue volumes using MR/MR fusion. IEEE EMBS’00, 2000.
5- V Barra, JY Boire. Correction of Partial Volume Effects in SPECT using a MR/SPECT Fusion Process. In Proc of the European Association of Nuclear Medicine Annual Congress, Paris, 2000.
4- V Barra, JY Boire. Aggregation of anatomical and functional Information by a MR/SPECT Fusion Process : Application to neurodegenerative Pathologies. In Proc of the Sixth Annual Meeting of the Organization for human Brain Mapping, San Antonio, USA, 2000.
3- V Barra, JY Boire. MR Images Fusion for Brain Tissues Volume Measurement. CVPRIP’00, 2000.
2- V Barra, A Colin, JY Boire. Synthesis of a High Resolution functional Image by an MR/SPECT Fusion Process. In Proc of the European Association of Nuclear Medicine Annual Congress, Berlin, Germany, 1998.
1- V Barra, B Morio, A Colin, M Vermorel, JY Boire. Automatic Assessment of Muscle/Fat temporal Variations on MR Images of the Thigh. IEEE EMBS, 1996.
