Literatura académica sobre el tema "Cerveau – Analyse informatique"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Índice
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Cerveau – Analyse informatique".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Cerveau – Analyse informatique"
Makaremi, M. "Les enjeux d'une nouvelle interface". Revue d'Orthopédie Dento-Faciale 52, n.º 4 (octubre de 2018): 319–24. http://dx.doi.org/10.1051/odf/2018026.
Texto completoLobry, Claude. "La méthode des élucidations successives". Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées Volume 9, 2007 Conference in... (30 de septiembre de 2008). http://dx.doi.org/10.46298/arima.1897.
Texto completoTesis sobre el tema "Cerveau – Analyse informatique"
Fernandez, Pernas Jesus. "Optimisation et automatisation du traitement informatique des données spectroscopiques cérébrales (proton simple volume)". Caen, 2002. http://www.theses.fr/2002CAEN3079.
Texto completoSaavedra, Carolina. "Méthodes d'analyse et de de bruitage multicanaux a partir d'ondelettes pour améliorer la détection de potentiels évoqués sans moyennage: application aux interfaces cerveau-ordinateur". Phd thesis, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00914720.
Texto completoSpinelli, Laurent. "Analyse spatiale de l'activité électrique cérébrale : nouveaux développements". Phd thesis, Université Joseph Fourier (Grenoble), 1999. http://tel.archives-ouvertes.fr/tel-00004851.
Texto completoSulis, Benjamin. "Analyse multimodale et problèmes inverses pour l’imagerie cérébrale". Electronic Thesis or Diss., Reims, 2024. http://www.theses.fr/2024REIMS006.
Texto completoIn this thesis, we focus on the coupling of two brain imaging modalities: electroencephalography (EEG)and diffuse optical tomography (DOT). In the first part, we present a model for generating syntheticcoupled data based on neurovascular coupling. Using a dimensional analysis, we justify an EEG model with time-dependent sources of electrical brain activity and a time-harmonic DOT model withtime-varying optical brain parameters. We study the existence and uniqueness of a solution for both problems. For EEG, we use the subtraction method to overcome the problem of source termregularity. We then present a model of neurovascular coupling at the neuron scale in the form of a system of ordinary differential equations, which we use to model the time behavior of the electrical activity source and the optical parameters of the brain. Finally, we simulate synthetic EEG and DOT data from the same brain activity on a realistic 3D geometry. In the second part of this thesis, we present the problems of source localization in EEG and parameter identification in DOT. In a first time, we separately study the respective inverse problems in EEG and DOT. We demonstrate an identifiability result for thereconstruction of moving sources of neuronal activity in EEG. For both inverse problems, we present several numerical resolution methods which we illustrate on a realistic 2D geometry. Finally, we propose three approaches for the numerical coupling of these two imaging modalities. The first one is basedon the information obtained by solving the DOT inverse problem and allows to reduce the EEG sources space. The two other methods use the information from EEG source localization as a priori information for regularization of the inverse parameter problem in DOT or initial guess ofshape optimization approach
Cohen, Emmanuel. "Cartographie, analyse et reconnaissance de réseaux vasculaires par Doppler ultrasensible 4D". Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLED046/document.
Texto completoUltrasensitive Doppler is a new ultrasound imaging technique allowing the observation of blood flows with a very fine resolution and no contrast agent. Applied to cerebral microvascular imaging in rodents, this method produces very fine vascular 3D maps of the brain at high spatial resolution. These vascular networks contain characteristic tubular structures that could be used as landmarks to localize the position of the ultrasonic probe and take advantage of the easy-to-use properties of ultrasound devices such as low cost and portability. Thus, we developed a first neuronavigation system in rodents based on automatic registration of brain images. Using minimal path extraction methods, we developed a new isotropic segmentation framework for 3D geometric analysis of vascular networks (extraction of centrelines, diameters, curvatures, bifurcations). This framework was applied to quantify brain and tumor vascular networks, and finally leads to the development of point cloud registration algorithms for temporal monitoring of tumors
Fritsch, Virgile. "High-dimensional statistical methods for inter-subject studies in neuroimaging". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00934695.
Texto completoMaumet, Camille. "From group to patient-specific analysis of brain function in arterial spin labelling and BOLD functional MRI". Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00863908.
Texto completoLibros sobre el tema "Cerveau – Analyse informatique"
Sinha, G. R. y Mridu Sahu. Brain and Behavior Computing. Taylor & Francis Group, 2021.
Buscar texto completoSinha, G. R. y Mridu Sahu. Brain and Behavior Computing. Taylor & Francis Group, 2021.
Buscar texto completoSinha, G. R. y Mridu Sahu. Brain and Behavior Computing. Taylor & Francis Group, 2021.
Buscar texto completoKawaguchi, Atsushi. Multivariate Analysis for Neuroimaging Data. Taylor & Francis Group, 2021.
Buscar texto completoKawaguchi, Atsushi. Multivariate Analysis for Neuroimaging Data. Taylor & Francis Group, 2021.
Buscar texto completoKawaguchi, Atsushi. Multivariate Analysis for Neuroimaging Data. Taylor & Francis Group, 2021.
Buscar texto completo