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Philippe Boutinaud

Philippe Boutinaud
Fealinx

PhD

About

25
Publications
6,857
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139
Citations
Introduction
Skills and Expertise

Publications

Publications (25)
Article
Biomedical research data reuse and sharing is essential for fostering research progress. To this aim, data producers need to master data management and reporting through standard and rich metadata, as encouraged by open data initiatives such as the FAIR (Findable, Accessible, Interoperable, Reusable) guidelines. This helps data re-users to understa...
Article
Full-text available
Functional connectivity analyses of fMRI data have shown that the activity of the brain at rest is spatially organized into resting-state networks (RSNs). RSNs appear as groups of anatomically distant but functionally tightly connected brain regions. Inter-RSN intrinsic connectivity analyses may provide an optimal spatial level of integration to an...
Article
Full-text available
We implemented a deep learning (DL) algorithm for the 3-dimensional segmentation of perivascular spaces (PVSs) in deep white matter (DWM) and basal ganglia (BG). This algorithm is based on an autoencoder and a U-shaped network (U-net), and was trained and tested using T1-weighted magnetic resonance imaging (MRI) data from a large database of 1,832...
Preprint
Full-text available
We implemented a deep learning (DL) algorithm for the 3-dimensional segmentation of perivascular spaces (PVSs) in deep white matter (DWM) and basal ganglia (BG). This algorithm is based on an autoencoder and a U-shaped network (U-net), and was trained and tested using T1-weighted magnetic resonance imaging (MRI) data from a large database of 1,832...
Preprint
Full-text available
Functional connectivity analyses of fMRI data have shown that the activity of the brain at rest is spatially organized into resting-state networks (RSNs). RSNs appear as groups of anatomically distant but functionally tightly connected brain regions. Inter-RSN intrinsic connectivity analyses may provide an optimal spatial level of integration to an...
Chapter
Information Systems, used to share information, lead to the growth of heterogeneous data and then the dependencies between them. Thus, the links and dependencies among heterogeneous and distributed data are more and more complex during daily activities of users (researchers, engineers, etc.). Our contribution is to propose a methodology to facilita...
Poster
Full-text available
Product Lifecycle Management (PLM) was developed to provide collaborative, secure, and reliable tools for industrial manufacturing. It provides traceability, versioning, access rights and data integrity to complex data, originating from multiple, geographically distributed sources, in multiple formats. SWOMed is a biomedical PLM system developed du...
Article
Full-text available
The data management needs of the neuroimaging community are currently addressed by several specialized software platforms, which automate repetitive data import, archiving and processing tasks. The BIOMedical Imaging SemanTic data management (BIOMIST) project aims at creating such a framework, yet with a radically different approach: the key insigh...
Article
The amount of heterogeneous information that researchers in bio-medical imaging (BMI) field have to manage has grown significantly, and their costs remain high. Large-scale sharing and reusing of this information has become unavoidable. Some data management systems have been developed in neuroimaging field, however they miss to integrate the data p...
Article
Full-text available
Information Systems, used to share information, lead to the growth of heterogeneous data and then the dependencies between them. Thus, the links and dependencies among heterogeneous and distributed data are more and more complex during daily activities of users (engineers, researchers, etc.). Ontology is currently used to enhance the knowledge shar...
Conference Paper
Full-text available
The emergence of PLM for biomedical imaging lifecycle management highlights the needs for management and analysis of heterogeneous, complex and multidimensional data in PLM systems. Data provenance in biomedical imaging domain is complex, notably provenance of processing data, and to ensure full traceability in a purpose of reuse, processing operat...
Article
Full-text available
The paper presents smooth product information and knowledge exchange (SPIKE), an ontology-based methodology for exchanging information between product lifecycle management (PLM) systems. SPIKE does not concern a limited manufacturing field or specific industrial sector. The concerned information deals with the whole product lifecycle information ex...
Article
Full-text available
In the current globalized context of industry, constant improvement of competitiveness remains a major issue for companies. Through the past few years, considering the latest technological advances, the product complexity, as well as related manufacturing processes, have increased. Nowadays, Product Lifecycle Management systems are seen to be essen...
Conference Paper
Full-text available
Product Lifecycle Management (PLM) domain is at a key point in its development: its concepts and technologies are mature. PLM systems not only manage documents but information associated to a product along its lifecycle, such as Bills-Of-Material (BOM) or require- ments at different levels of granularity. All the dependencies between concepts lead...
Article
Full-text available
Bio-Medical Imaging (BMI) is currently confronted to data issues similar to those of the manufacturing industry twenty years ago. In particular, the need for data sharing and reuse has never been so strong to foster major discoveries in neuroimaging. Some data management systems have been developed to meet the requirements of BMI large-scale resear...
Conference Paper
Full-text available
Bio-medical imaging (BMI) is currently confronted to similar issues than those of manufacturing industries twenty years ago: the growing amount of data, the heterogeneity and complexity of information coming from diverse disciplines, have to be handled by various actors belonging to different organizations. The researchers of the GIN (Neuroimaging...
Conference Paper
Full-text available
Experience with data exchange standards has shown considerable limitations in their integration in commercial tools and their interoperability. The current trend is to use XML as a mean of exchanging data. We present in this paper a new standard approach for querying and exporting data from PLM in XML format using XPath/XQuery languages. An abstrac...
Article
Full-text available
Résumé : Dans le contexte de globalisation actuel, l'amélioration de la compétitivité reste un enjeu majeur pour les entreprises manufacturières. Ceci se traduit évidemment par un objectif d'innovation constant, doublé d'une optimisation permanente du triptyque Coût/Délai/Qualité. Une gestion efficace des données et informations liées au produit ai...
Article
Nos travaux de thèse s’inscrivent dans la problématique de la Gestion de données et de la dynamique des connaissances en ingénierie numérique, le but étant d’améliorer la chaîne CAO-Calcul. L'objectif est de contribuer à la clarification et à la standardisation des flux d’information existant entre la conception et la simulation dans un contexte PL...

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Projects

Projects (3)
Project
The objectives are to manage, secure and trace complex, multisources and variable biomedical imaging data produced by the platforms of imaging of the living of COMUE SPC (Sorbonne Paris Cité) and partners. http://drivespc.fr/ (French)
Project
The BIOMIST (BIO Medical research Imaging SemanTic data management) project is an ANR (Agence Nationale de la Recherche) founded project (n° ANR-13-CORD-0007) for thematic axis n°2 of the Contint 2013 Call for Proposal: from content to knowledge and big data. It began November 1st 2013 and will end April 30th 2017. www.biomist.fr