• Antoine Vacavant

    Full Professor in Computer Science
    Université Clermont Auvergne, Institut Pascal, UMR 6602 UCA/SIGMA/CNRS

    CV

    I obtained the Master’s degree from the Université Lyon 1, France, in 2005, the PhD degree in computer science from the Université Lyon 2 in 2008 and the HDR (habilitation) in computer science from Université Clermont Auvergne in 2018. I am now full professor at the Université Clermont Auvergne.
    I give teachings of AI, object oriented programming, image processing, 3-D programming, project management in the IUT of Le Puy en Velay.
    I am also member of the Institut Pascal, UMR 6602 UCA/SIGMA/CNRS / research team CaVITI, and my main research topics are (bio)medical image analysis, digital geometry and topology, benchmarking and computer vision.     		   

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    Research

    Research topics:

    Digital geometry and topology, mathematical morphology

    Related publications:
    [Vacavant et al., DGCI 2017]A. Vacavant et al.: Reconstructions of noisy digital contours with maximal primitives based on multi-scale/irregular geometric representation and generalized linear programming. In DGCI 2017.
    [Vacavant and Leborgne, CTIC 2016]A. Vacavant and A. Leborgne: Robust computations of Reeb graphs in 2-D binary images. In CTIC 2016.

    Robust image and video analysis

    Related publications:
    [Lebre et al., CMIG 2019]M.-A. Lebre et al.: A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities. Comput. Med. Imag. Grap., 2019.
    [Vacavant et al., RRPR 2018]A. Vacavant et al.: New definition of quality-scale robustness for image processing algorithms, with generalized uncertainty modeling, applied to denoising and segmentation. In IEEE RRPR@ICPR 2018.
    [Vacavant, RRPR 2016]A. Vacavant: A novel definition of robustness for image processing algorithm. In IEEE RRPR@ICPR 2016.

    Computer-aided medical applications

    Related publications:
    [Messaoudi et al., JDI 2019]R. Messaoudi et al.: Ontologies for liver diseases representation: A systematic litterature review. J. Digit. Imaging, 2019.
    [Messaoudi et al., JDI 2018]R. Messaoudi et al.: Ontology-based approach for liver cancer diagnosis and treatment. J. Digit. Imaging, 2018.
    [Lebre et al., SASHIMI 2017]M.-A. Lebre et al.: Medical image processing and numerical simulation for digital hepatic parenchymal blood flow. In SASHIMI@MICCAI 2017.

    Computer vision and machine learning

    Related publications:
    [Neiva et al., DSP 2018]M.B. Neiva et al.: Improving Texture Extraction and Classification using Smoothed Morphological Operators. Digit. Signal Process., 2018.
    [Pavan et al., SAC 2018]A.L.M. Pavan et al.: A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification. In ACM SAC 2018.
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    Publications

    Featured publications:

    Iterations of smoothed shock filtering for texture classification

    M.B. Neiva, A. Vacavant, O.M. Bruno: Improving Texture Extraction and Classification using Smoothed Morphological Operators. Digital Signal Processing, 83:24-34, 2018.

    Extraction of liver vessels from CT and MRI

    M.-A. Lebre, A. Vacavant, M. Grand-Brochier, O. Merveille, A. Abergel, P. Chabrot, B. Magnin: Automatic 3-D Skeleton-based Segmentation of Liver Vessels From MRI and CT for Couinaud Representation. In IEEE ICIP 2018, Athens, Greece, October 2018.

    HCC detection in DCE-MRI slice

    A.L.M. Pavan, M. Benabdallah, M.-A. Lebre, D.R. de Pina, F. Jaziri, A. Vacavant, A. Mtibaa, H. Mohamed Ali, M. Grand-Brochier, H. Rositi, B. Magnin, A. Abergel, P. Chabrot: A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification. In ACM SAC 2018, Pau, France, April 2018.

    Reconstruction with maximal segments and arcs

    A. Vacavant, B. Kerautret, T. Roussillon, F. Feschet: Reconstructions of noisy digital contours with maximal primitives based on multi-scale/irregular geometric representation and generalized linear programming. In DGCI 2017, LNCS 10502, pages 291–303, Vienna, Austria, 2017. Springer.

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    Contact

    Address
    Institut Universitaire de Technologie
    8, Rue Jean-Baptiste Fabre
    CS 10219
    43009 Le Puy en Velay, France
    E-mail: antoine[dot]vacavant[at]uca[dot]fr
    Phone: +33 [0]4 71 09 90 82