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Preprint: Full inference for the anisotropic fractional Brownian field.
The anisotropic fractional Brownian field (AFBF) is a non-stationary Gaussian random field which has been used for the modeling of textured images. In this paper, we address the open issue of estimating the functional parameters of this field, namely the topothesy and Hurst functions.
Last updated on Jan 10, 2023
1 min read
Project
Publication: PyAFBF: a Python library for sampling image textures from the anisotropic fractional Brownian field.
The Python library PyAFBF is devoted to the simulation of anisotropic textures of image. These textures are sampled from a mathematical model called the anisotropic fractional Brownian field (AFBF) (Bonami & Estrade, 2003); see Figure 1 for an illustration.
Richard
Last updated on Jul 20, 2022
1 min read
Project
Publication: FDG-PET to T1 Weighted MRI Translation with 3D Elicit Generative Adversarial Network (E-GAN)
With the strengths of deep learning, computer-aided diagnosis (CAD) is a hot topic for researchers in medical image analysis. One of the main requirements for training a deep learning model is providing enough data for the network.
Farideh Bazangani; Frédéric Richard; Baddih Ghattas; Eric Guedj
Last updated on Jan 4, 2023
1 min read
Research talk : "Full inference for the anisotropic fractional Brownian field" (joint work with Paul Escande).
The anisotropic fractional Brownian field is a non-stationary Gaussian field (Bonami and Estrade, 2003) which has been used for the modeling of image microtextures (Richard, 2016-18). Having stationary increments, its probability distribution is characterized by a semi-variogram whose spectral representation in polar coordinates
Last updated on May 27, 2022
2 min read
Inauguration d'Eureka
Eureka est une instance de l’Institut Archimède qui s’adresse aux entreprises à la recherche d’une expertise en mathématique et informatique pour le développement de technologies et l’innovation. Il fait partie du réseau MSO ("Modéliser, Simuler, Optimiser") animé par l'AMIES (agence maths-entreprises).
Last updated on Dec 29, 2021
1 min read
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