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A binary tree-structured MRF model for multispectral satellite image segmenta...
In this work we detail a tree-structured MRF (TS-MRF) prior model useful for segmentation of multispectral satellite images. This model allows a hierarchical... -
Region-Of-Interest Selection and Statistical Analysis of Dynamic Breast Magne...
Magnetic Resonance Imaging (MRI) is emerging as a powerful tool for the diagnosis of breast abnormalities. Early investigation of contrast-enhanced MRI of the breast... -
Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation
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Adaptive Parameter Estimation for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model... -
Local Registration and Deformation of a Road Cartographic Database on A SPOT ...
Herein, we propose a local registration method for cartographic road networks on SPOT satellite images based on Markov Random Fields (MRF) on graphs. Since the... -
An Analysis of Some Models Used in Image Segmentation
This report describes an investigation into the characteristics of a number of image models and algorithms used for the segmentation of SPOT images. The initial goals... -
Modelling Image Redundancy
C.E. Shannon in his Information Theory defined a rate of information transmission of a transmitter-receiver couple. We use this concept to define three models of image... -
Bayesian Markov model for cooperative clustering: application to robust MRI b...
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Discrete Image Registration : a Hybrid Paradigm
This thesis is devoted to dense deformable image registration/fusion using discrete methods. The main contribution of the thesis is a principled registration framework... -
Gene clustering via integrated Markov models combining individual and pairwis...
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Detecting parametric objects in large scenes by Monte Carlo sampling
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Markov Random Field Modeling, Inference & Learning in Computer Vision & Image...
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Towards Automatic Acne Detection Using a MRF Model with Chromophore Descriptors
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Computing the Cramer-Rao bound of Markov random field parameters: Application...
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Understanding, Modeling and Detecting Brain Tumors: Graphical Models and Conc...
The main objective of this thesis is the automatic modeling, understanding and segmentation of diffusively infiltrative tumors known as Diffuse Low-Grade Gliomas. Two... -
Analysis of Hyperspectral Images – Advanced Technologies
International audience -
Understanding, Modeling and Detecting Brain Tumors : Graphical Models and Con...
The main objective of this thesis is the automatic modeling, understanding and segmentation of diffusively infiltrative tumors known as Diffuse Low-Grade Gliomas. Two...
