Keywords

Social networks

Researcher identifiers

  • IdHAL : hugues-benoit-cattin
  • ResearcherId : H-4094-2014
Number of documents

34

Hugues BENOIT-CATTIN


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.


Journal articles11 documents

  • Pierre-Antoine Ganaye, Michaël Sdika, Bill Triggs, Hugues Benoit-Cattin. Removing Segmentation Inconsistencies with Semi-Supervised Non-Adjacency Constraint. Medical Image Analysis, Elsevier, 2019, 58, pp.101551. ⟨10.1016/j.media.2019.101551⟩. ⟨hal-02275956⟩
  • Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin. Combining analytical modeling, realistic simulation and real experimentation for the optimization of Monte-Carlo applications on the European Grid Infrastructure. Future Generation Computer Systems, Elsevier, 2016, 57, pp.13-23. ⟨10.1016/j.future.2015.11.002⟩. ⟨hal-01272336⟩
  • S. Mure, T. Grenier, D. Meier, C. Guttmann, H. Benoit-Cattin. Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification. Pattern Recognition Letters, Elsevier, 2015, 68 (Part), pp.48-55. ⟨10.1016/j.patrec.2015.07.021⟩. ⟨hal-01206150⟩
  • Bernard Gibaud, Germain Forestier, Hugues Benoit-Cattin, Frédéric Cervenansky, Patrick Clarysse, et al.. OntoVIP: An ontology for the annotation of object models used for medical image simulation.. Journal of Biomedical Informatics, Elsevier, 2014, 52, pp.279-92. ⟨10.1016/j.jbi.2014.07.008⟩. ⟨inserm-01062371⟩
  • Tristan Glatard, Carole Lartizien, Bernard Gibaud, Rafael Ferreira da Silva, Germain Forestier, et al.. A virtual imaging platform for multi-modality medical image simulation.. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2013, 32 (1), pp.110-8. ⟨10.1109/TMI.2012.2220154⟩. ⟨inserm-00762497⟩
  • S. Camarasu-Pop, T. Glatard, R. Ferreira da Silva, P. Gueth, D. Sarrut, et al.. Monte-Carlo Simulation on Heterogeneous Distributed Systems: a Computing Framework with Parallel Merging and Checkpointing Strategies. Future Generation Computer Systems, Elsevier, 2013, pp.728-738. ⟨10.1016/j.future.2012.09.003⟩. ⟨hal-00797962⟩
  • François de Guio, Maja Musse, Hugues Benoit-Cattin, Tiphaine Lucas, Armelle Davenel. Magnetic resonance imaging method based on magnetic susceptibility effects to estimate bubble size in alveolar products: application to bread dough during proving.. Magnetic Resonance Imaging, Elsevier, 2009, 27 (4), pp.577-85. ⟨10.1016/j.mri.2008.08.009⟩. ⟨hal-00454523⟩
  • Jérôme Velut, Hugues Benoit-Cattin, Christophe Odet. Locally Regularized Smoothing B-Snake. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2007, 2007 (1), pp.076241. ⟨inserm-00641299⟩
  • T. Zouagui, H. Benoit-Cattin, C. Odet. Image segmentation functional model. Pattern Recognition, Elsevier, 2004, 37 (9), pp.1785-1795. ⟨hal-00396119⟩
  • Johan Montagnat, F. Bellet, Hugues Benoit-Cattin, Vincent Breton, Lionel Brunie, et al.. Medical images simulation storage and processing on the European DataGrid testbed. Journal of Grid Computing, Springer Verlag, 2004, 2, pp.387-400. ⟨10.1007/s10723-004-5744-y⟩. ⟨in2p3-00023294⟩
  • C. Revol-Muller, H. Benoit-Cattin, Y. Carillon, C. Odet, A. Briguet, et al.. Bone MRI segmentation assessment based on synchrotron radiation computed microtomography. IEEE Transactions on Nuclear Science, Institute of Electrical and Electronics Engineers, 2002, 49 (1), pp.220-224. ⟨10.1109/TNS.2002.998755⟩. ⟨hal-02009902⟩

Conference papers23 documents

  • Pierre-Antoine Ganaye, Michael Sdika, Hugues Benoit-Cattin. Towards Integrating Spatial Localization in Convolutional Neural Networks for Brain Image Segmentation. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Apr 2018, Washington, United States. ⟨10.1109/ISBI.2018.8363652⟩. ⟨hal-01812045⟩
  • Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin. Semi-supervised learning for segmentation under semantic constraint. MICCAI, Sep 2018, Grenada, Spain. ⟨hal-01904641⟩
  • Anchen Chai, Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin, Frederic Suter. Evaluation through Realistic Simulations of File Replication Strategies for Large Heterogeneous Distributed Systems. Europar 2018 - 24th International European Conference on Parallel and Distributed Computing ; Workshop HeteroPar 2018, Aug 2018, Turin, Italy. in press. ⟨hal-01887369⟩
  • Anchen Chai, Mohammad-Mahdi Bazm, Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin, et al.. Modeling Distributed Platforms from Application Traces for Realistic File Transfer Simulation. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing., May 2017, Madrid, Spain. ⟨hal-01452694⟩
  • Roxana Ameli, Simon Mure, Charles R G Guttmann, Thomas Grenier, Hugues Benoit-Cattin, et al.. Analyse dynamique hebdomadaire du développement péri-veinulaire des lésions actives de SEP par imagerie de susceptibilité magnétique. 43rd Congress of the SFNR, Mar 2016, Paris, France. pp.91-93, ⟨10.1016/j.neurad.2016.01.056⟩. ⟨hal-01432957⟩
  • Simon Mure, Thomas Grenier, Charles R G Guttmann, François Cotton, Hugues Benoit-Cattin. Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-series. IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), Apr 2016, Prague, Czech Republic. ⟨10.1109/ISBI.2016.7493509⟩. ⟨hal-01432982⟩
  • S. Mure, C. R. G. Guttmann, T. Grenier, H. Benoit-Cattin, F. Cotton. New insight in perivenular lesion formation in multiple sclerosis on weekly susceptibility weighted images. 24th annual meeting and exhibition ISMRM 2016, May 2016, Singapour, Singapore. pp.Abstract #1290. ⟨hal-01452997⟩
  • Simon Mure, Thomas Grenier, Charles R G Guttmann, Hugues Benoit-Cattin. Unsupervised time-series clustering of distorted and asynchronous temporal patterns. The 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.1263-1267, ⟨10.1109/ICASSP.2016.7471879⟩. ⟨hal-01432897⟩
  • Simon Mure, Thomas Grenier, Hugues Benoit-Cattin. Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusions. The 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.1536-1540, ⟨10.1109/ICASSP.2016.7471934⟩. ⟨hal-01433000⟩
  • P. Portejoie, S. Mure, H. Benoit-Cattin, T. Grenier. LOCALLY CONTROLLED REGULARIZED SPATIOTEMPORAL ANISOTROPIC DIFFUSION. IEEE International Conference on Image Processing, Sep 2015, Québec, Canada. ⟨hal-01206168⟩
  • S. Camarasu-Pop, T. Glatard, H. Benoit-Cattin. Simulating Application Workflows and Services Deployed on the European Grid Infrastructure. 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, May 2013, Delft, Netherlands. pp.18-25, ⟨10.1109/CCGrid.2013.13⟩. ⟨hal-00843917⟩
  • C. Revol-Muller, T. Grenier, T. Li, H. Benoit-Cattin. Feature space region growing. IEEE International Conference On Image Processing, Sep 2012, Orlando, United States. pp.2585 - 2588, ⟨10.1109/ICIP.2012.6467427⟩. ⟨hal-00830362⟩
  • B. Gibaud, G. Forestier, H. Benoit-Cattin, F. Cervenansky, P. Clarysse, et al.. OntoVIP: an ontology for the annotation of object models used for medical image simulation. IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), Sep 2012, La Jolla, United States. pp.110, ⟨10.1109/HISB.2012.35⟩. ⟨hal-00830912⟩
  • T. Glatard, A. Marion, H. Benoit-Cattin, S. Camarasu-Pop, P. Clarysse, et al.. Multi-modality image simulation with the Virtual Imaging Platform: Illustration on cardiac echography and MRI. IEEE International Symposium on Biomedical Imaging - ISBI2012, May 2012, Barcelona, Spain. pp.98-101, ⟨10.1109/ISBI.2012.6235493⟩. ⟨hal-00830243⟩
  • T Li, T Grenier, H. Benoit-Cattin. Color space influence on mean shift filtering. Proceedings - International Conference on Image Processing, ICIP, 2011, Brussels, Belgium. pp.1469 - 1472. ⟨hal-01871243⟩
  • A. Marion, G. Forestier, H. Benoit-Cattin, Sorina Camarasu-Pop, P. Clarysse, et al.. Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP). The 24th International Symposium on Computer-Based Medical Systems (CBMS 2011), 2011, Bristol, UK, Unknown Region. pp.1-6, ⟨10.1109/CBMS.2011.5999141⟩. ⟨hal-01922169⟩
  • G. Forestier, A. Marion, H. Benoit-Cattin, P. Clarysse, D. Friboulet, et al.. Sharing object models for multi-modality medical image simulation: a semantic approach. The 24th International Symposium on Computer-Based Medical Systems (CBMS 2011), 2011, Bristol, UK, Unknown Region. pp.1-6, ⟨10.1109/CBMS.2011.5999167⟩. ⟨hal-01922171⟩
  • Sorina Camarasu-Pop, Frederic Cervenansky, Yonny Cardenas, Jean-Yves Nief, Hugues Benoit-Cattin. Overview of Medical Data Management Solutions for Research Communities. Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on, 2010, Unknown, Unknown Region. pp.739--744. ⟨hal-01792367⟩
  • T Li, Sorina Camarasu-Pop, T Glatard, T Grenier, H. Benoit-Cattin. Optimization of Mean-Shift scale parameters on the EGEE grid. Studies in health technology and informatics, Proceedings of Healthgrid 2010, 2010, Unknown, Unknown Region. pp.203-214, ⟨10.3233/978-1-60750-583-9-203⟩. ⟨hal-01871246⟩
  • D. Charpigny, T Grenier, C. Odet, H. Benoit-Cattin. Restoration-based iron oxide particles quantification in MR images. IEEE ICASSP, 2010, Dallas, Texas, USA, Unknown Region. ⟨hal-01871244⟩
  • D. Charpigny, T Grenier, C. Odet, H. Benoit-Cattin. Towards Iron Oxide Nanoparticles quantization in Molecular MR images by Default Field Deconvolution. Proc. ISBI 2009: 6th IEEE international symposium on biomedical imaging, 2009, Unknown, Unknown Region. ⟨hal-01871247⟩
  • D. Charpigny, T Grenier, C. Odet, J. Pauly, H. Benoit-Cattin. Deconvolution Approach for Susceptibility Map Building. European Society for Magnetic Resonance in Medicine and Biology, 25st Annual Scientific Meeting ESMRMB, 2008, Valencia, Spain. in-press. ⟨hal-01871248⟩
  • Sorina Camarasu-Pop, H. Benoit-Cattin, L. Guigues, P. Clarysse, O. Bernard, et al.. Towards a Virtual Radiological Platform Based on a Grid Infrastructure. Medical imaging on grids: achievements and perspectives (MICCAI Grid Workshop), 2008, New York, USA, Unknown Region. pp.85-95. ⟨hal-01922371⟩