1 citations · 1 across the 4 of their papers we have counts for
5 papers
Restoring Connectivity in Vascular Segmentation using a Learned Post-Processing Model
Sophie Carneiro-Esteves, Antoine Vacavant, Odyssée Merveille
Accurate segmentation of vascular networks is essential for computer-aided tools designed to address cardiovascular diseases. Despite more than thirty years of research, it remains…
Deep vessel segmentation based on a new combination of vesselness filters
Guillaume Garret, Antoine Vacavant, Carole Frindel
Vascular segmentation represents a crucial clinical task, yet its automation remains challenging. Because of the recent strides in deep learning, vesselness filters, which can sign…
Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos
Caroline Pacheco do Espirito Silva, Andrews Cordolino Sobral, Antoine Vacavant +2
Designing a novel Local Binary Pattern (LBP) process usually relies heavily on human experts' knowledge and experience in the area. Even experts are often left with tedious episode…
Robust reconstructions by multi-scale/irregular tangential covering
Antoine Vacavant, Bertrand Kerautret, Fabien Feschet
In this paper, we propose an original manner to employ a tangential cover algorithm - minDSS - in order to geometrically reconstruct noisy digital contours. To do so, we exploit th…
Automated Mathematical Equation Structure Discovery for Visual Analysis
Caroline Pacheco do Espírito Silva, José A. M. Felippe De Souza, Antoine Vacavant +2
Finding the best mathematical equation to deal with the different challenges found in complex scenarios requires a thorough understanding of the scenario and a trial and error proc…