Nombre de documents

85

CV de Michel Dojat


Article dans une revue45 documents

  • Emmanuelle Bellot, Véronique Coizet, Jan Warnking, Kenneth Knoblauch, Elena Moro, et al.. Effects of aging on low luminance contrast processing in humans. NeuroImage, Elsevier, 2016, <10.1016/j.neuroimage.2016.06.051>. <inserm-01341092>
  • Jean-Michel Hupé, Michel Dojat. A critical review of the neuroimaging literature on synesthesia. Frontiers in Human Neuroscience, Frontiers, 2015, 9, pp.1-37. <10.3389/fnhum.2015.00103>. <inserm-01166891>
  • Cécile Bordier, Jean-Michel Hupé, Michel Dojat. Quantitative evaluation of fMRI retinotopic maps, from V1 to V4, for cognitive experiments. Frontiers in Human Neuroscience, Frontiers, 2015, 9, pp.277-289. <10.3389/fnhum.2015.00277>. <inserm-01166889>
  • Stephen Ramanoël, Louise Kauffmann, Emilie Cousin, Michel Dojat, Carole Peyrin. Age-Related Differences in Spatial Frequency Processing during Scene Categorization.. PLoS ONE, Public Library of Science, 2014, 10 (8), pp.e0134554. <10.1371/journal.pone.0134554>. <hal-01196755>
  • Bjoern Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, et al.. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2014, pp.33. <10.1109/TMI.2014.2377694>. <hal-00935640v2>
  • Bénédicte Batrancourt, Michel Dojat, Bernard Gibaud, Gilles Kassel. A Multilayer Ontology of Instruments for Neurological, Behavioral and Cognitive Assessments.. Neuroinformatics, Humana Press, 2014, 13 (1), pp.93-110. <10.1007/s12021-014-9244-3>. <inserm-01069670>
  • Peggy Gerardin, Frédéric Devinck, Michel Dojat, Kenneth Knoblauch. Contributions of contour frequency, amplitude, and luminance to the watercolor effect estimated by conjoint measurement Fr ed eric Devinck. Journal of Vision, Association for Research in Vision and Ophthalmology, 2014, pp.1-14. <10.1167/14.4.9>. <inserm-01166901>
  • Frédéric Devinck, Peggy Gerardin, Michel Dojat, Kenneth Knoblauch. Quantifying the watercolor effect: from stimulus properties to neural models. Frontiers in Human Neuroscience, Frontiers, 2014, 8, pp.1-9. <10.3389/fnhum.2014.00805>. <inserm-01166906>
  • Frédéric Devinck, Peggy Gerardin, Michel Dojat, Kenneth Knoblauch. Spatial selectivity of the watercolor effect. Journal of the Optical Society of America A, Optical Society of America, 2013, pp.A1-A6. <10.1364/JOSAA.31.0000A1>. <inserm-01166904>
  • Fabrizio Pizzagalli, Guillaume Auzias, Chantal Delon-Martin, Michel Dojat. Local landmark alignment for high-resolution fMRI group studies: toward a fine cortical investigation of hand movements in human.. Journal of Neuroscience Methods, Elsevier, 2013, 218 (1), pp.83-95. <10.1016/j.jneumeth.2013.05.005>. <inserm-00874380>
  • Benoit Musel, Cécile Bordier, Michel Dojat, Cédric Pichat, Sylvie Chokron, et al.. Retinotopic and lateralized processing of spatial frequencies in human visual cortex during scene categorization.. Journal of Cognitive Neuroscience, Massachusetts Institute of Technology Press (MIT Press), 2013, 25 (8), pp.1315-31. <10.1162/jocn_a_00397>. <hal-00827617>
  • Lotfi Chaari, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu. Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2013, 32 (5), pp.821-837. <10.1109/TMI.2012.2225636>. <inserm-00753873>
  • Mathieu Ruiz, Jean-Michel Hupé, Michel Dojat. Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination. Lect Notes Comput Sci, 2012, 7588, pp.103-110. <hal-00766374>
  • Jean-Michel Hupé, Cécile Bordier, Michel Dojat. A BOLD signature of eyeblinks in the visual cortex.. NeuroImage, Elsevier, 2012, 61 (1), pp.149-61. <10.1016/j.neuroimage.2012.03.001>. <hal-00685970>
  • Florence Forbes, Scherrer Benoît, Dojat Michel. Bayesian Markov model for cooperative clustering: application to robust MRI brain scan segmentation. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2011, 152 (3), pp.116-141. <inserm-00752896>
  • Fabrice Galia, Serge Brimioulle, Frederic Bonnier, Nicolas Vandenbergen, Michel Dojat, et al.. Use of maximum end-tidal CO(2) values to improve end-tidal CO(2) monitoring accuracy.. Respiratory Care, Daedalus Enterprises Inc, 2011, 56 (3), pp.278-83. <10.4187/respcare.00837>. <inserm-00635391>
  • Jean-Michel Hupé, Cécile Bordier, Michel Dojat. The Neural Bases of Grapheme-Color Synesthesia Are Not Localized in Real Color-Sensitive Areas.: No localized correlate of synesthetic colors. Cerebral Cortex, Oxford University Press (OUP), 2011, epub ahead of print. <10.1093/cercor/bhr236>. <inserm-00635382>
  • Cécile Bordier, Michel Dojat, Pierre Lafaye de Micheaux. Temporal and Spatial Independent Component Analysis for fMRI Data Sets Embedded in the AnalyzeFMRI R Package. Journal of Statistical Software, University of California, Los Angeles, 2011, 44 (9), pp.1-24. <inserm-00659425>
  • Flor Vasseur, Chantal Delon-Martin, Cécile Bordier, Jan Warnking, Laurent Lamalle, et al.. fMRI retinotopic mapping at 3 T: benefits gained from correcting the spatial distortions due to static field inhomogeneity.. Journal of vision (Charlottesville, Va.), 2010, 10 (12), pp.30. <10.1167/10.12.30>. <inserm-00589249>
  • Benoît Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay. Agentification of Markov model-based segmentation: application to magnetic resonance brain scans.. Artificial Intelligence in Medicine, Elsevier, 2009, 46 (1), pp.81-95. <10.1016/j.artmed.2008.08.012>. <inserm-00381395>
  • Benoît Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat. Distributed local MRF models for tissue and structure brain segmentation. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2009, 28 (8), pp.1278-1295. <10.1109/TMI.2009.2014459>. <inserm-00402265>
  • Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat. Fully Bayesian joint model for MR brain scan tissue and structure segmentation.. Medical image computing and computer-assisted intervention : MICCAI .. International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2008, 11 (Pt 2), pp.1066-74. <inserm-00356883>
  • Lynda Temal, Michel Dojat, Gilles Kassel, Bernard Gibaud. Towards an ontology for sharing medical images and regions of interest in neuroimaging.. Journal of Biomedical Informatics, Elsevier, 2008, 41 (5), pp.766-78. <10.1016/j.jbi.2008.03.002>. <inserm-00344293>
  • Thomas Guyet, Catherine Garbay, Michel Dojat. Knowledge construction from time series data using a collaborative exploration system.. Journal of Biomedical Informatics, Elsevier, 2007, 40 (6), pp.672-87. <10.1016/j.jbi.2007.09.006>. <inserm-00381739>
  • Thomas Guyet, Catherine Garbay, Michel Dojat. Knowledge construction from time series data using a collaborative exploration approach. Journal of Biomedical Informatics, Elsevier, 2007, 40 (6), pp.672-687. <10.1016/j.jbi.2007.09.006>. <inria-00461373>
  • Michel Dojat, Loÿs Piettre, Chantal Delon-Martin, Mathilde Pachot-Clouard, Christoph Segebarth, et al.. Global integration of local color differences in transparency perception: An fMRI study.. Visual Neuroscience, Cambridge University Press (CUP), 2006, 23 (3-4), pp.357-64. <10.1017/S0952523806233200>. <inserm-00131774>
  • Christian Barillot, Habib Benali, Michel Dojat, Alban Gaignard, Bernard Gibaud, et al.. Federating distributed and heterogeneous information sources in neuroimaging: the NeuroBase Project.. Studies in Health Technology and Informatics, IOS Press, 2006, 120, pp.3-13. <inserm-00141685>
  • François Lellouche, Jordi Mancebo, Philippe Jolliet, Jean Roeseler, Fréderique Schortgen, et al.. A multicenter randomized trial of computer-driven protocolized weaning from mechanical ventilation.. American Journal of Respiratory and Critical Care Medicine, American Thoracic Society, 2006, 174 (8), pp.894-900. <10.1164/rccm.200511-1780OC>. <inserm-00388976>
  • Lila Bouadma, François Lellouche, Belen Cabello, Solenne Taillé, Jordi Mancebo, et al.. Computer-driven management of prolonged mechanical ventilation and weaning: a pilot study.. Intensive Care Medicine, Springer Verlag, 2005, 31 (10), pp.1446-50. <10.1007/s00134-005-2766-2>. <inserm-00391138>
  • Nathalie Richard, Michel Dojat, Catherine Garbay. Automated segmentation of human brain MR images using a multi-agent approach.. Artificial Intelligence in Medicine, Elsevier, 2004, 30 (2), pp.153-75. <inserm-00402306>
  • Isabelle Corouge, Michel Dojat, Christian Barillot. Statistical shape modeling of low level visual area borders.. Medical Image Analysis, Elsevier, 2004, 8 (3), pp.353-60. <10.1016/j.media.2004.06.023>. <inserm-00402298>
  • S. Vanni, Michel Dojat, Jan Warnking, Chantal Delon-Martin, Christoph Segebarth, et al.. Timing of interactions across the visual field in the human cortex.. NeuroImage, Elsevier, 2004, 21 (3), pp.818-28. <10.1016/j.neuroimage.2003.10.035>. <inserm-00402337>
  • S. Vanni, Jan Warnking, Michel Dojat, Chantal Delon-Martin, J. Bullier, et al.. Sequence of pattern onset responses in the human visual areas: an fMRI constrained VEP source analysis.. NeuroImage, Elsevier, 2004, 21 (3), pp.801-17. <10.1016/j.neuroimage.2003.10.047>. <inserm-00402335>
  • Michel Dojat. Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain images.. Artificial Intelligence in Medicine, Elsevier, 2004, 30 (2), pp.91-5. <10.1016/j.artmed.2003.12.001>. <inserm-00402364>
  • Jan Warnking, Michel Dojat, Anne Guérin-Dugué, Chantal Delon-Martin, Serge Olympieff, et al.. fMRI retinotopic mapping--step by step.. NeuroImage, Elsevier, 2002, 17 (4), pp.1665-83. <inserm-00402394>
  • Michel Dojat, Laurent Brochard. Knowledge-based systems for automatic ventilatory management.. Respiratory Care Clinics, 2001, 7 (3), pp.379-96, viii. <inserm-00402401>
  • Soumeya Achour, Michel Dojat, Claire Rieux, Philippe Bierling, Eric Lepage. A UMLS-based knowledge acquisition tool for rule-based clinical decision support system development.. Journal of the American Medical Informatics Association, BMJ Publishing Group, 2001, 8 (4), pp.351-60. <inserm-00402405>
  • Michel Dojat, Alain Harf, Dominique Touchard, François Lemaire, Laurence Brochard. Clinical evaluation of a computer-controlled pressure support mode.. American Journal of Respiratory and Critical Care Medicine, American Thoracic Society, 2000, 161 (4 Pt 1), pp.1161-6. <inserm-00402420>
  • Laurence Germond, Michel Dojat, Chris Taylor, Catherine Garbay. A cooperative framework for segmentation of MRI brain scans.. Artificial Intelligence in Medicine, Elsevier, 2000, 20 (1), pp.77-93. <inserm-00402412>
  • Mohamed Seghier, Michel Dojat, Chantal Delon-Martin, Christophe Rubin, Jan Warnking, et al.. Moving illusory contours activate primary visual cortex: an fMRI study.. Cerebral Cortex, Oxford University Press (OUP), 2000, 10 (7), pp.663-70. <inserm-00402417>
  • Michel Dojat, Nicolas Ramaux, Dominique Fontaine. Scenario recognition for temporal reasoning in medical domains.. Artificial Intelligence in Medicine, Elsevier, 1998, 14 (1-2), pp.139-55. <inserm-00402424>
  • Michel Dojat, François Pachet, Zahia Guessoum, Dominique Touchard, Alain Harf, et al.. NéoGanesh: a working system for the automated control of assisted ventilation in ICUs.. Artificial Intelligence in Medicine, Elsevier, 1997, 11 (2), pp.97-117. <inserm-00402426>
  • Luca Chittaro, Michel Dojat. Using a general theory of time and change in patient monitoring: experiment and evaluation.. Computers in Biology and Medicine, Elsevier, 1997, 27 (5), pp.435-52. <inserm-00402432>
  • Michel Dojat, Alain Harf, Dominique Touchard, Martine Laforest, François Lemaire, et al.. Evaluation of a knowledge-based system providing ventilatory management and decision for extubation.. American Journal of Respiratory and Critical Care Medicine, American Thoracic Society, 1996, 153 (3), pp.997-1004. <inserm-00402429>
  • Michel Dojat, Laurence Brochard, François Lemaire, Alain Harf. A knowledge-based system for assisted ventilation of patients in intensive care units.. International Journal of Clinical Monitoring and Computing, Springer Verlag, 1992, 9 (4), pp.239-50. <inserm-00402430>

Communication dans un congrès34 documents

  • Senan Doyle, Benjamin Lemasson, Flor Vasseur, Pierre Bourdillion, François Ducray, et al.. Segmentation des tumeurs cérébrales de bas grade par une approche bayésienne : délinéation manuelle versus automatique. 2ème congrès de la SFRMBM (Société Française de Résonance Magnétique en Biologie et Médecine), Mar 2015, Grenoble, France. <hal-01107520>
  • Senan Doyle, Benjamin Lemasson, Flor Vasseur, Pierre Bourdillion, François Ducray, et al.. Comparison of manual versus automatic delineation of low-grade gliomas based on MR brain scans. Organization for Human Brain Mapping (OHBM) 2014 Annual meeting, Jun 2014, Hambourg, Germany. <hal-01107700>
  • Christine Bakhous, Florence Forbes, Farida Enikeeva, Thomas Vincent, Michel Dojat, et al.. Analyse parcimonieuse des données d'IRM fonctionnelle dans un cadre bayésien variationnel. 45èmes Journées de Statistique, May 2013, Toulouse, France. 2013. <hal-00933701>
  • Christine Bakhous, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu. Variational Variable Selection To Assess Experimental Condition Relevance In Event-Related fMRI. ISBI 2013 - 10th IEEE International Symposium on Biomedical Imaging, Apr 2013, San Francisco, United States. IEEE, pp.1508-1511, 2013, <10.1109/ISBI.2013.6556821>. <hal-00859391>
  • Christine Bakhous, Florence Forbes, Thomas Vincent, Lotfi Chaari, Michel Dojat, et al.. Sélection de variables dans un cadre Bayésien de traitement de données d'IRM fonctionnelle. 44e Journées de Statistique, May 2012, Bruxelles, Belgique. 2012. <hal-00780088>
  • Christine Bakhous, Florence Forbes, Thomas Vincent, Lotfi Chaari, Michel Dojat, et al.. Adaptive experimental condition selection in event-related fMRI. ISBI 2012 - IEEE International Symposium on Biomedical Imaging, May 2012, Barcelone, Spain. IEEE, pp.1755-1758, 2012, <10.1109/ISBI.2012.6235920>. <cea-00710489>
  • Chantal Delon-Martin, Michel Dojat, Olivier Martin, François Moutet, Fabrizzio Pizzagalli, et al.. Cortical representation of the hand movements. 2e Rencontres du Pôle Grenoble Cognition, May 2011, Grenoble, France. <hal-00639422>
  • Michel Dojat, Mélanie Pélégrini-Issac, Farooq Ahmad, Christian Barillot, Bénédicte Batrancourt, et al.. NeuroLOG: A framework for the sharing and reuse of distributed tools and data in neuroimaging. Organization for Human Brain Mapping (HBM'11), Jun 2011, Quebec, Canada. 2011. <hal-00813796>
  • Bernard Gibaud, Farooq Ahmad, Christian Barillot, Franck Michel, Bacem Wali, et al.. A federated system for sharing and reuse of images and image processing tools in neuroimaging. Computer Assisted Radiology and Surgery (CARS'11), Jun 2011, Berlin, Germany. 2011. <hal-00690921>
  • Lotfi Chaari, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu. Variational solution to the joint detection estimation of brain activity in fMRI. Gabor Fichtinger, Anne Martel, and Terry Peters. MICCAI 2011 - 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2011, Toronto, Canada. Springer, 6892 (Pt 2), pp.260-268, 2011, Lecture Notes in Computer Science. <10.1007/978-3-642-23629-7_32>. <inserm-00635384>
  • Bernard Gibaud, Gilles Kassel, Michel Dojat, Bénédicte Batrancourt, Franck Michel, et al.. NeuroLOG: sharing neuroimaging data using an ontology-based federated approach.. American Medical Informatics Association, Oct 2011, Washington DC, United States. 2011, pp.472-80, 2011. <hal-00683087>
  • Lotfi Chaari, Florence Forbes, Philippe Ciuciu, Thomas Vincent, Michel Dojat. Bayesian variational approximation for the joint detection estimation of brain activity in fMRI. SSP 2011 - IEEE Statistical Signal Processing Workshop, Jun 2011, Nice, France. IEEE, pp.469-472, 2011, <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5967734>. <10.1109/SSP.2011.5967734>. <hal-00780506>
  • Florence Forbes, Senan Doyle, Daniel Garcia-Lorenzo, Christian Barillot, Michel Dojat. Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Apr 2010, Rotterdam, Netherlands. IEEE, pp.69-72, 2010, <10.1109/ISBI.2010.5490413>. <inserm-00723807>
  • Bénédicte Batrancourt, Michel Dojat, Bernard Gibaud, Gilles Kassel. A core ontology of instruments used for neurological, behavioral and cognitive assessments. A. Galton and R. Mizoguchi (Eds.). International conference on formal ontology in information systems, May 2010, Toronto, Canada. IOS Press, pp.185-198, 2010, <10.3233/978-1-60750-535-8-185>. <inserm-00519801>
  • Florence Forbes, Senan Doyle, Daniel Garcia-Lorenzo, Christian Barillot, Michel Dojat. A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. Neil Lawrence. Thirteenth International Conference on Artificial Intelligence and Statistics, May 2010, Sardinia, Italy. MIT, 9, pp.225-232, 2010, JMLR: Workshop and Conference Proceedings. <inserm-00723808>
  • Franck Michel, Alban Gaignard, Farooq Ahmad, Christian Barillot, Bénédicte Batrancourt, et al.. Grid-wide neuroimaging data federation in the context of the NeuroLOG project.. Tony Solomonides ; Ignacio Blanquer ; Vincent Breton ; Tristan Glatard ; Yannick Legré. HealthGrid'10, Jun 2010, Paris, France. IOS press, 159, pp.112-123, 2010, Studies in Health Technology and Informatics. <10.3233/978-1-60750-583-9-112>. <inserm-00512799>
  • Benoît Scherrer, Florence Forbes, Michel Dojat. A conditional random field approach for coupling local registration with robust tissue and structure segmentation: A CRF Approach for Coupling Local Registration. Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, and Chris Taylor. MICCAI 2009 - 12th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2009, London, United Kingdom. Springer, 5762, pp.540-548, 2009, Lecture Notes in Computer Science. <10.1007/978-3-642-04271-3_66>. <inserm-00517880>
  • Cécile Bordier, Michel Dojat, Pierre Lafaye de Micheaux. L'Analyse en Composantes Indépendantes Temporelle en Imagerie par Résonance Magnétique Fonctionnelle. 41èmes Journées de Statistique, May 2009, Bordeaux, France. 2009. <inria-00386659>
  • Thomas Guyet, Catherine Garbay, Michel Dojat. Interprétation collaborative de séries temporelles. Colloque de l'association pour la recherche cognitive, Dec 2009, Rouen, France. 2009. <inria-00461366>
  • Cécile Bordier, Michel Dojat, Pierre Lafaye de Micheaux. AnalyzeFMRI: an R package to perform statistical analysis on FMRI datasets. useR! 2009 - The R User Conference, Jul 2008, Rennes, France. pp.25, 2009. <hal-00851143>
  • Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat. Fully Bayesian Joint Model for MR Brain Scan Tissue and Subcortical Structure Segmentation. MICCAI 2008 - 11th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2008, New-York, United States. Springer, 5242, pp.1066-1074, 2008, Lecture Notes in Computer Science. <10.1007/978-3-540-85990-1_128>. <hal-00847588>
  • Thomas Guyet, Catherine Garbay, Dojat Michel. A human-machine cooperative approach for time series data interpretation. Bellazzi R; AbuHanna A; Hunter J. 11th Conference on Artificial Intelligence in Medicine (AIME 2007), Jul 2007, Amsterdam, Netherlands. SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 4594, pp.3-12, 2007. <inserm-00519815>
  • Benoit Scherrer, Dojat Michel, Florence Forbes, Catherine Garbay. MRF agent based segmentation: Application to MRI brain scans. Bellazzi R; Abu-Hanna A; Hunter J. AIME 2007 - 11th Conference on Artificial Intelligence in Medicine, Jul 2007, Amsterdam, Netherlands. Springer, 4594, pp.13-23, 2007, Lecture Notes in Computer Science. <10.1007/978-3-540-73599-1_2>. <inserm-00519836>
  • Thomas Guyet, Catherine Garbay, Michel Dojat. A Human-Machine Cooperative Approach for Time Series Data Interpretation. The 11th Conference on Artificial Intelligence In Medicine, Aug 2007, Aberdeen, United Kingdom. 2007, <10.1007/978-3-540-73599-1_1>. <inria-00461454>
  • Yacine Kabir, Michel Dojat, Benoît Scherrer, Florence Forbes, Catherine Garbay. Multimodal MRI segmentation of ischemic stroke lesions. EMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2007, Lyon, France. IEEE, pp.1595-1598, 2007, <10.1109/IEMBS.2007.4352610>. <inserm-00402278>
  • Benoît Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay. LOCUS: local cooperative unified segmentation of MRI brain scans. Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder. MICCAI07 - 10th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2007, Brisbane, Australia. Springer, 4791, pp.219-227, 2007, Lecture Notes in Computer Science. <10.1007/978-3-540-75757-3_27>. <inserm-00402276>
  • Thomas Guyet, Catherine Garbay, Michel Dojat. Computer/Human Structural Coupling for Data Interpretation. Bardy, Benoit and Mottet, Denis. Proc ENACTIVE 2006: Third International Conference on Enactive Interfaces, Enaction and Complexity, 2006, Montpellier, France. 2006. <hal-00953904>
  • Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay. Une Approche SMA pour la Segmentation Markovienne des Tissus et Structures Présents dans les IRM Cérébrales. 2èmes journées algéro-françaises en imagerie médicale, JETIM 2006, November, 2006, 2006, Alger, Algeria. 2006. <hal-00953906>
  • Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay. Distributed and Cooperative Markovian Segmentation of tissues and structures in MRI brain scans. Human Brain Mapping Meeting, HBM 2006, June, 2006, 2006, Florence, Italy. 2006. <hal-00953905>
  • Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay. Segmentation Markovienne distribuée et coopérative des tissus et des structures présents dans des IRM cérébrales. RFIA - 15ème Congres Reconnaissance des Formes et Intelligence Artificielle, RFIA 2006, 2006, Tours, France. pp.1-10, 2006. <hal-00954054>
  • Bernard Gibaud, Christian Barillot, Habib Benali, Michel Dojat, Alban Gaignard, et al.. Sharing data and image processing tools in neuroimaging.. H.U. AND Vannier, M.W. AND Inamura, K. AND Farman, A.G. AND Doi, K. Lemke. 2006, Springer, 1, pp.41-42, 2006, vol S1. <inserm-00152138>
  • Lynda Temal, Pascal Lando, Bernard Gibaud, Michel Dojat, Gilles Kassel, et al.. OntoNeuroBase: a multi-layered application ontology in neuroimaging. Second Workshop: Formal Ontologies Meet Industry (FOMI 2006), Dec 2006, trento, Italy. 2006. <inserm-00140523>
  • Thomas Guyet, Catherine Garbay, Michel Dojat. Human-Computer interaction to learn scenarios from ICU multivariate time series. Miksch, S; Hunter, J; Keravnou, E. Artificial Intelligence in Medicine. Proceedings of the European Conference on Artificial Intelligence in Medicine AIME'05, Jul 2005, Aberdeen- Scotland, United Kingdom. Springler Verlag: Berlin, 3581, pp.424-428, 2005. <inserm-00519870>
  • Isabelle Corouge, Christian Barillot, Michel Dojat. Statistical shape modeling of unfolded retinotopic maps for a visual areas probabilistic atlas. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2003, Canada. pp.705-713, 2003, Lecture Notes in Computer Science. <10.1007/978-3-540-39899-8_86>. <inserm-00772625>

Autre publication2 documents

  • Thomas Guyet, Catherine Garbay, Michel Dojat. Algorithme d'Apprentissage de Scénarios à partir de Séries Symboliques Temporelles. N/A. 2006. <hal-00954115>
  • Christian Barillot, Laurent Amsaleg, Florent Aubry, Jean Pierre Bazin, Yann Cointepas, et al.. Neurobase: gestion de données et de connaissances distribuées en neuroimagerie. Journée spéciale du GDR STIC Santé-Inserm. 2005. <inserm-00139814>

Chapitre d'ouvrage3 documents

  • Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, et al.. Assessment of Tissue Injury in Severe Brain Trauma. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. , 9556, Springer International Publishing, pp.57-68, 2016, Lecture Notes in Computer Science, 978-3-319-30857-9. <10.1007/978-3-319-30858-6_6>. <hal-01423467>
  • Senan Doyle, Florence Forbes, Michel Dojat. Automatic multiple sclerosis lesion segmentation with P-LOCUS. Proceedings of the 1st MICCAI Challenge on Multiple Sclerosis Lesions Segmentation Challenge Using a Data Management and Processing Infrastructure — MICCAI-MSSEG, pp.17-21, 2016. <inserm-01417434>
  • Benoît Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat. A Joint Bayesian Framework for MR Brain Scan Tissue and Structure Segmentation Based on Distributed Markovian Agents. Isabelle Bichindaritz, Sachin Vaidya, Ashlesha Jain, and Lakhmi C. Jain. Computational Intelligence in Healthcare 4, Springer, pp.81-101, 2010, Studies in Computational Intelligence, <10.1007/978-3-642-14464-6_5>. <inserm-00659300>

Rapport1 document

  • Jean-Michel Hupé, Cécile Bordier, Michel Dojat. Event-related fMRI adaptation paradigm on real and synesthetic colors. 2011. <hal-00623554>