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.
Digital geometry and topology, mathematical morphology
Robust image and video analysisRelated publications:
Computer-aided medical applicationsRelated publications:
Computer vision and machine learningRelated publications:
M.B. Neiva, A. Vacavant, O.M. Bruno: Improving Texture Extraction and Classification using Smoothed Morphological Operators. Digital Signal Processing, 83:24-34, 2018.
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.
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.
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.