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Bio
I had participated in several EU and French projects, including the coordination and partner principal investigator in some of them. I had been involved on direct collaboration projects with industrial companies (e.g., Thales, ArcelorMittal)
I had contributed to more than 50 journal papers, 120 international conferences and 1 patent.
My research interests are in the areas of
Mathematical morphology: filtering; segmentation; shape and texture analysis; stochastic, geometric and PDE approaches; space-time morphological operators; theory of metric Riemannian and ultrametric morphological operators.
Max-plus and max-min mathematics.
Interaction between neural networks, deep learning and mathematical morphology.
Interaction between machine learning and structured data/image processing: anomaly detection, explainable AI.
Non-conventional imaging: ranging from hyperspectral images to images with values in non-Euclidean spaces, such as the sphere or the cone of symmetric positive-definite matrices or the probability simplex.
Application to the development of theoretically-sound and high-performance algorithms and software in the fields of Biomedicine/Biotechnology, Remote Sensing and Radar, Material Science and Industrial Vision.
I had contributed to more than 50 journal papers, 120 international conferences and 1 patent.
My research interests are in the areas of
Mathematical morphology: filtering; segmentation; shape and texture analysis; stochastic, geometric and PDE approaches; space-time morphological operators; theory of metric Riemannian and ultrametric morphological operators.
Max-plus and max-min mathematics.
Interaction between neural networks, deep learning and mathematical morphology.
Interaction between machine learning and structured data/image processing: anomaly detection, explainable AI.
Non-conventional imaging: ranging from hyperspectral images to images with values in non-Euclidean spaces, such as the sphere or the cone of symmetric positive-definite matrices or the probability simplex.
Application to the development of theoretically-sound and high-performance algorithms and software in the fields of Biomedicine/Biotechnology, Remote Sensing and Radar, Material Science and Industrial Vision.
Research Interests
Papers共 181 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
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期刊级别
合作者
合作机构
CoRRpp.81-97, (2022)
arxiv(2022)
International Joint Conference on Discrete Geometry and Mathematical Morphology (DGMM)pp.449-461, (2022)
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Author Statistics
#Papers: 191
#Citation: 3703
H-Index: 27
G-Index: 53
Sociability: 6
Diversity: 1
Activity: 1
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