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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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Deep learning methods for virtual monoenergetic imaging from spectral CT2023
Pré-publication, Document de travail
hal-04346653v1
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Material Decomposition in Spectral CT using deep learning: A Sim2Real transfer approachIEEE Access, 2021, 9, pp.25632-25647. ⟨10.1109/ACCESS.2021.3056150⟩
Article dans une revue
hal-02952707v3
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Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distanceInverse Problems, 2018, 34 (12), ⟨10.1088/1361-6420/aae1e7⟩
Article dans une revue
hal-01621265v2
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Regularization of Nonlinear Decomposition of Spectral X-ray Projection ImagesMedical Physics, 2017, 44 (9), pp.e174-e187. ⟨10.1002/mp.12283⟩
Article dans une revue
hal-01391538v3
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A residual U-Net network with image prior for 3D image denoising28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. ⟨10.23919/Eusipco47968.2020.9287607⟩
Communication dans un congrès
hal-02500664v1
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Material decomposition problem in spectral CT: a transfer deep learning approach2020 IEEE 17th International Symposium on Biomedical Imaging Workshops, Apr 2020, Iowa City, United States. ⟨10.1109/ISBIWorkshops50223.2020.9153440⟩
Communication dans un congrès
hal-02587658v1
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Human Knee Phantom for Spectral CT: Validation of a Material Decomposition AlgorithmISBI IEEE International Symposium on Biomedical Imaging, Apr 2019, Venise, Italy
Communication dans un congrès
hal-02068517v1
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Sparse reconstruction methods in x-ray CTDevelopments in X-Ray Tomography XI, Aug 2017, San Diego, United States. ⟨10.1117/12.2272711⟩
Communication dans un congrès
hal-01737088v1
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Imagerie X spectrale: décomposition en base de matériaux par calibration polynomialeRecherche en Imagerie et Technologies pour la Santé (RITS) 2017, Mar 2017, Lyon, France
Communication dans un congrès
hal-01504949v1
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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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Material decomposition using the PIXSCAN-FLI spectral micro-CTIEEE NSS MIC RTSD 2017 Conference, Oct 2017, Atlanta, United States. pp.#2987, 2017
Poster de conférence
hal-01743323v1
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Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distanceIMA Conference on Inverse Problems from Theory to Application, Sep 2017, Cambridge, United Kingdom. 2017
Poster de conférence
hal-01745711v1
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Décomposition en base de matériaux à partir de données issues du scanner spectral PIXSCAN-FLI2ème congrès national d'imagerie du vivant CNIV 2017, Nov 2017, Paris, France. 2017
Poster de conférence
hal-01744888v1
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