Hugues BENOIT-CATTIN
34
Documents
Identifiants chercheurs
- hugues-benoit-cattin
- ResearcherId : H-4094-2014
- Google Scholar : https://scholar.google.fr/citations?hl=fr&user=9TANM3kAAAAJ
- IdRef : 128492406
Présentation
Hugues BENOIT-CATTIN is full Professor at INSA Lyon French Engineering Grande Ecole, member of University of Lyon. Since October 2014, he is the INSA Lyon Vice President in charge of Innovation. Since March 2015, he leads the Innovation Factory project of University of Lyon. This project aims at developing university innovation and entrepreneurship capability.
Previously, during six years he was the Director of the Telecommunication Department of INSA Lyon that graduates each year 90 students in Telecommunication Engineering. His teaching activity deals with image and signal processing, digital communication and innovation project management.
For 20 years, he coordinates the relations between INSA Lyon and the Singaporean Universities. Member of the CREATIS CNRS/Inserm research laboratory in medical imaging, his main research activities concern image segmentation (deep learning, region growing and active surface, Mean-shift and classification); MRI imaging (Simulation, Correction, Molecular imaging, quantification) ; grid computing.
Hugues BENOIT-CATTIN est professeur à l’INSA Lyon. Depuis octobre 2014, il membre de l’équipe de direction de l’INSA Lyon en tant que directeur adjoint en charge de l’innovation. Depuis mars 2015, il est également le directeur du projet Fabrique de l’Innovation de la Comue Université de Lyon. Ce projet, qui mobilise plus de 20 M€ d’investissement, vise à développer le potentiel d’innovation de l’Université de Lyon dans une dynamique de fertilisation croisée avec les milieux économiques.
Précédemment, il a été pendant six ans le directeur du département Télécommunications de l’INSA Lyon au sein duquel il a mis en place une filière en apprentissage et soutenu le renouvellement d’un mastère en sécurité des systèmes d’informations. Ses principales activités d’enseignement concernent le traitement du signal et de l’image, les communications numériques et la gestion de projet d’innovation.
Membre du laboratoire CNRS/Inserm CREATIS, il en est l’un des deux directeurs adjoints depuis 2015. Ses principales activités de recherche concernent la segmentation d’images (approches deep learning, mean shift, surface active), l’imagerie IRM (simulation, correction, imagerie moléculaire, quantification) ; le calcul intensif sur système distribué. Il est l’auteur de 4 chapitres de livre, 24 publications dans des revues internationales, 62 publications dans des conférences internationales et l’auteur principal du logiciel de simulation IRM Simri.
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Semi-supervised learning for segmentation under semantic constraintMICCAI, Sep 2018, Grenada, Spain
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Towards Integrating Spatial Localization in Convolutional Neural Networks for Brain Image Segmentation2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Apr 2018, Washington, United States. ⟨10.1109/ISBI.2018.8363652⟩
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Evaluation through Realistic Simulations of File Replication Strategies for Large Heterogeneous Distributed SystemsEuropar 2018 - 24th International European Conference on Parallel and Distributed Computing ; Workshop HeteroPar 2018, Aug 2018, Turin, Italy. pp.409-420, ⟨10.1007/978-3-030-10549-5_32⟩
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Modeling Distributed Platforms from Application Traces for Realistic File Transfer Simulation17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing., May 2017, Madrid, Spain
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Analyse dynamique hebdomadaire du développement péri-veinulaire des lésions actives de SEP par imagerie de susceptibilité magnétique43rd Congress of the SFNR, Mar 2016, Paris, France. pp.91-93, ⟨10.1016/j.neurad.2016.01.056⟩
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Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-seriesIEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), Apr 2016, Prague, Czech Republic. ⟨10.1109/ISBI.2016.7493509⟩
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New insight in perivenular lesion formation in multiple sclerosis on weekly susceptibility weighted images24th annual meeting and exhibition ISMRM 2016, May 2016, Singapour, Singapore. pp.Abstract #1290
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Unsupervised time-series clustering of distorted and asynchronous temporal patternsThe 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.1263-1267, ⟨10.1109/ICASSP.2016.7471879⟩
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Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusionsThe 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.1536-1540, ⟨10.1109/ICASSP.2016.7471934⟩
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LOCALLY CONTROLLED REGULARIZED SPATIOTEMPORAL ANISOTROPIC DIFFUSIONIEEE International Conference on Image Processing, Sep 2015, Québec, Canada
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Simulating Application Workflows and Services Deployed on the European Grid Infrastructure13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, May 2013, Delft, Netherlands. pp.18-25, ⟨10.1109/CCGrid.2013.13⟩
Communication dans un congrès
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Feature space region growingIEEE International Conference On Image Processing, Sep 2012, Orlando, United States. pp.2585 - 2588, ⟨10.1109/ICIP.2012.6467427⟩
Communication dans un congrès
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OntoVIP: an ontology for the annotation of object models used for medical image simulationIEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), Sep 2012, La Jolla, United States. pp.110, ⟨10.1109/HISB.2012.35⟩
Communication dans un congrès
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Multi-modality image simulation with the Virtual Imaging Platform: Illustration on cardiac echography and MRIIEEE International Symposium on Biomedical Imaging (ISBI), May 2012, Barcelona, Spain. pp.98-101, ⟨10.1109/ISBI.2012.6235493⟩
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Color space influence on mean shift filteringProceedings - International Conference on Image Processing, ICIP, 2011, Brussels, Belgium. pp.1469 - 1472
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Sharing object models for multi-modality medical image simulation: a semantic approachInternational Symposium on Computer-Based Medical Systems (CBMS), 2011, Bristol, UK, United Kingdom. pp.1-6, ⟨10.1109/CBMS.2011.5999167⟩
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Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP)International Symposium on Computer-Based Medical Systems (CBMS), Jun 2011, Bristol, United Kingdom. pp.1-6, ⟨10.1109/cbms.2011.5999141⟩
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Overview of Medical Data Management Solutions for Research CommunitiesCluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on, 2010, Unknown, Unknown Region. pp.739--744
Communication dans un congrès
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Optimization of Mean-Shift scale parameters on the EGEE gridStudies in health technology and informatics, Proceedings of Healthgrid 2010, 2010, Unknown, Unknown Region. pp.203-214, ⟨10.3233/978-1-60750-583-9-203⟩
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Restoration-based iron oxide particles quantification in MR imagesIEEE ICASSP, 2010, Dallas, Texas, USA, Unknown Region
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Towards Iron Oxide Nanoparticles quantization in Molecular MR images by Default Field DeconvolutionProc. ISBI 2009: 6th IEEE international symposium on biomedical imaging, 2009, Unknown, Unknown Region
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Deconvolution Approach for Susceptibility Map BuildingEuropean Society for Magnetic Resonance in Medicine and Biology, 25st Annual Scientific Meeting ESMRMB, 2008, Valencia, Spain. in-press
Communication dans un congrès
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Towards a Virtual Radiological Platform Based on a Grid InfrastructureMedical imaging on grids: achievements and perspectives (MICCAI Grid Workshop), 2008, New York, USA, Unknown Region. pp.85-95
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