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Nicolas Ducros
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Documents
Présentation
I received an MSc in Electrical Engineering and an MSc in Biomedical Engineering, both from Strasbourg University, France, in 2006. I obtained my PhD in Electrical Engineering from Lyon University, in 2009, with a thesis on time-resolved fluorescence molecular tomography, which won the Best Thesis Award of the French Section of the IEEE EMBS. From 2009 to 2012, I held a Postdoctoral Fellowship in the Department of Physics of the Politecnico Milan in Italy, where I worked on structured light for diffuse optics. In 2013, I joined the Micro Technologies for Biology and Healthcare Division at CEA Grenoble, France, working on spectral X-ray non-destructive testing. Since 2014, I have been an Associate Professor in the Electrical Engineering Department of Lyon University and with the Biomedical Imaging Laboratory [CREATIS](https://www.creatis.insa-lyon.fr/site7/en).
My research interests include medical imaging, signal and image processing, and inverse problems, with particular emphasis on single-pixel imaging and spectral computed tomography.
More details on my [website](https://www.creatis.insa-lyon.fr/~ducros/WebPage/index.html)
Publications
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Morozov principle for Kullback-Leibler residual term and Poisson noiseInverse Problems and Imaging , 2018, 12 (3), pp.607 - 634. ⟨10.3934/ipi.2018026⟩
Article dans une revue
hal-01880210v1
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Spectral CT material decomposition in the presence of poisson noise: A Kullback-Leibler approachInnovation and Research in BioMedical engineering, 2017, 38 (4), pp.214-218. ⟨10.1016/j.irbm.2017.06.002⟩
Article dans une revue
hal-01557367v2
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A Constrained Gauss-Newton Algorithm for Material Decomposition in Spectral Computed TomographyISBI 2018 IEEE International Symposium on Biomedical Imaging, IEEE, Apr 2018, Washington, United States. ⟨10.1109/ISBI.2018.8363587⟩
Communication dans un congrès
hal-01825613v1
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An ADMM Algorithm for Constrained Material Decomposition in Spectral CTEUSIPCO, Sep 2018, Rome, Italy
Communication dans un congrès
hal-01909643v1
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A Kullback-Leibler approach for 3D reconstruction of spectral CT data corrupted by Poisson noiseSPIE: Optics + Photonics, Aug 2017, San Diego, United States
Communication dans un congrès
hal-01557381v2
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Décomposition en base de matériau en imagerie x spectrale: utilisation de la distance de Kullback-LeiblerRecherche en Imagerie et Technologies pour la Santé (RITS) 2017, Mar 2017, Lyon, France
Communication dans un congrès
hal-01505225v1
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Non-linear regularized decomposition of spectral x-ray projection imagesThe 4th International Conference on Image Formation in X-Ray Computed Tomography, Jul 2016, Bamberg, Germany
Communication dans un congrès
hal-01437463v1
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NONLINEAR MATERIAL DECOMPOSITION FOR X-RAY SPECTRAL IMAGING USING A BREGMAN ITERATIVE APPROACHRecherche en Imagerie et Technologies pour la Santé (RITS) 2017, Mar 2017, Lyon, France
Poster de conférence
hal-01505326v1
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