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Laurent Najman
6
Documents
Présentation
<image style="float: left; margin-left: 5px; margin-right: 5px;" src="https://laurentnajman.org/uploads/images/LaurentNajman-portrait-2023-small.jpeg" width="142" height="160">**Laurent Najman** received the Habilitation à Diriger les Recherches in 2006 from the University of Marne-la-Vallée, a Ph.D. of applied mathematics from Paris-Dauphine University in 1994 with the highest honour (Félicitations du Jury) and an “Ingénieur” degree from the Ecole des Mines de Paris in 1991. After earning his engineering degree, he worked in the Central Research Laboratories of Thomson-CSF for three years, working on some problems of infrared image segmentation using mathematical morphology. He then joined a start-up company named Animation Science in 1995, as director of research and development. The technology of particle systems for computer graphics and scientific visualisation, developed by the company under his technical leadership received several awards, including the “European Information Technology Prize 1997” awarded by the European Commission (Esprit programme) and by the European Council for Applied Science and Engineering and the “Hottest Products of the Year 1996” awarded by the Computer Graphics World journal. In 1998, he joined OCÉ Print Logic Technologies, as senior scientist. He worked there on various problem of image analysis dedicated to scanning and printing. In 2002, he joined the Informatics Department of ESIEE, Paris, where he is professor and a member of the Laboratoire d’Informatique Gaspard Monge, Université Paris-Est Marne-la-Vallée. His current research interest is discrete mathematical morphology, discrete topology and optimization.
Publications
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Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Resonance ImagingPLoS ONE, 2015, 10 (8), pp.e0135715. ⟨10.1371/journal.pone.0135715⟩
Article dans une revue
hal-01235953v1
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Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI SequencesIEEE Transactions on Medical Imaging, 2012, 31 (8), pp.1651-1660. ⟨10.1109/TMI.2012.2201737⟩
Article dans une revue
hal-00726197v1
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A reference free approach for the comparative evaluation of eight segmentation methods for the estimation of the left ventricular ejection fraction in cardiac MRI.European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Oct 2012, Lisbonne, Portugal. pp.658
Communication dans un congrès
hal-00787512v1
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Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences.Annual International Conference of the IEEE Engineering in Medicine and Biology Society., Aug 2011, Boston, United States. pp.2663-6, ⟨10.1109/IEMBS.2011.6090732⟩
Communication dans un congrès
inserm-00773261v1
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Improved estimation of the left ventricular ejection fraction using a combination of independent automated segmentation results in cardiovascular magnetic resonance imaging2014
Pré-publication, Document de travail
hal-01077143v1
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Definition of a mutual reference shape based on information theory and active contours2013
Pré-publication, Document de travail
hal-00844144v1
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