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Context-based energy estimator: Application to object segmentation on the tre...
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Contributions to Mean Shift filtering and segmentation : Application to MRI i...
Medical studies increasingly use multi-modality imaging, producing multidimensional data that bring additional information that are also challenging to process and... -
Adaptive generalized metrics, distance maps and nearest neighbor transforms o...
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Decomposing ontology in Description Logics by graph partitioning
International audience -
An automated approach for single-cell tracking in epifluorescence microscopy ...
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A convergence theorem for variational EM-like algorithms: application to imag...
Variational Expectation Maximization (VEM) algorithms refer to a class of procedures resulting from the introduction in standard Expectation Maximization (EM)... -
Automatic segmentation and shape analysis of human hippocampus in Alzheimer's...
The aim of this thesis is to investigate the shape change in hippocampus due to the atrophy in Alzheimer’s disease (AD). To this end, specific algorithms and... -
Image-based computational homogenization and localization: comparison between...
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The hierarchy of the cocoons of a graph and its application to image segmenta...
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Development of probabilistic graphical models to analyze and remesh 2-manifol...
The work in this thesis concerns structural analysis of 2-manifold triangular meshes, and their processing towards quality enhancement (remeshing) or simplification.... -
A contribution to mouth structure segmentation in images towards automatic mo...
This document presents a series of elements for approaching the task of segmenting mouth structures in facial images, particularly focused in frames from video... -
Automatic skeletal muscle segmentation through random walks and graph-based s...
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Active Contours Driven by Global and Local Data Fitting Energy
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Local Region Active Contours Based on Gauss Smoothing
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On continuous maximum flow image segmentation algorithm
In recent years, with the advance of computing equipment and image acquisition techniques, the sizes, dimensions and content of acquired images have increased... -
Improvement of particle swarm optimization algorithms : applications in image...
The successful resolution of a difficult optimization problem, comprising a large number of sub optimal solutions, often justifies the use of powerful metaheuristics.... -
Large-Margin Metric Learning for Constrained Partitioning Problems
International audience -
Region-based active contours with noise and shape priors
International audience -
3D Contour Closing: A local operator based on Chamfer distance transformation
Visual perception evolved in a world of objects many of which are bounded by smooth closed contours. Especially with the three-dimensional dataset that need to be...
