43 citations
- Centre de Recherche en Acquisition et Traitement de l'Image pour la SantéFR4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- InsermFR3 papers
- Institut National des Sciences Appliquées de LyonFR3 papers
- Lyon 1 UniversitéFR3 papers
- Consorci Institut D'Investigacions Biomediques August Pi I SunyerES2 papers
- Hospices Civils de LyonFR2 papers
- Institució Catalana de Recerca i Estudis AvançatsES2 papers
- Laboratoire Traitement et Communication de l’InformationFR2 papers
- Télécom ParisFR2 papers
- Universitat Pompeu FabraES2 papers
- Université Paris CitéFR2 papers
5 papers · 1 filter
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Theo Di Piazza, Carole Lazarus, Olivier Nempont +1
With the growing volume of CT examinations, there is an increasing demand for automated tools such as organ segmentation, abnormality detection, and report generation to support ra…
PhraseStereo: The First Open-Vocabulary Stereo Image Segmentation Dataset
Thomas Campagnolo, Ezio Malis, Philippe Martinet +1
Understanding how natural language phrases correspond to specific regions in images is a key challenge in multimodal semantic segmentation. Recent advances in phrase grounding are…
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation
Giammarco La Barbera, Pietro Gori, Haithem Boussaid +6
Due to a high heterogeneity in pose and size and to a limited number of available data, segmentation of pediatric images is challenging for deep learning methods. In this work, we…
Handling confounding variables in statistical shape analysis -- application to cardiac remodelling
Gabriel Bernardino, Oualid Benkarim, María Sanz-de la Garza +7
Statistical shape analysis is a powerful tool to assess organ morphologies and find shape changes associated to a particular disease. However, imbalance in confounding factors, suc…
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas
Esther Puyol-Anton, Bram Ruijsink, Helene Langet +4
The availability of large scale databases containing imaging and non-imaging data, such as the UK Biobank, represents an opportunity to improve our understanding of healthy and dis…