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Aymeric Histace
Researcher at École nationale supérieure de l'électronique et de ses applications
Publications - 126
Citations - 1807
Aymeric Histace is an academic researcher from École nationale supérieure de l'électronique et de ses applications. The author has contributed to research in topics: Active contour model & Computer science. The author has an hindex of 14, co-authored 116 publications receiving 1126 citations. Previous affiliations of Aymeric Histace include University of Angers & Centre national de la recherche scientifique.
Papers
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Journal ArticleDOI
Multi-criterion, automated, high-performance, rapid tool for assessing mucosal visualization quality of still images in small bowel capsule endoscopy
Sarra Oumrani,Aymeric Histace,Einas Abou Ali,Olivia Pietri,Aymeric Becq,Guy Houist,Isabelle Nion-Larmurier,Marine Camus,Christian Florent,Xavier Dray,Xavier Dray +10 more
TL;DR: This multi-criterion score constitutes a comprehensive, reproducible, reliable, automated and rapid cleansing score for SB-CE frames that achieves better discrimination of adequately from inadequately cleansed frames.
Journal ArticleDOI
Selective diffusion for oriented pattern extraction: Application to tagged cardiac MRI enhancement
TL;DR: In this article, a selective diffusion approach based on the framework of Extreme Physical Information theory is presented and it is shown that this particular framework leads to a particular regularization PDE which makes the integration of prior knowledge possible within the diffusion scheme.
Book ChapterDOI
Analysis of tagged cardiac MRI sequences
TL;DR: In this paper, the authors proposed an approach to automatically track the grid of tags on cardiac MRI sequences using an informational formalism based on Extreme Physical Informational (EPI) to increase the robustness of the detection and follow-up of the grid.
BookDOI
Computer-Aided Analysis of Gastrointestinal Videos
Jorge Bernal,Aymeric Histace +1 more
TL;DR: The Gastrointestinal Image Analysis (GIANA) challenge as discussed by the authors was the first challenge for computer-aided detection/diagnosis of colon and intestinal diseases, and 20 teams participated in the challenge.
Book ChapterDOI
Statistical shape model of legendre moments with active contour evolution for shape detection and segmentation
TL;DR: A novel method that combines statistical shape models and active contours implemented in a level set framework for shape detection and image segmentation and has very robust performances for images with a large amount of noise is described.