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
12 papers
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…
High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models
Tristan S. W. Stevens, Oisín Nolan, Oudom Somphone +2
Three-dimensional ultrasound enables real-time volumetric visualization of anatomical structures. Unlike traditional 2D ultrasound, 3D imaging reduces reliance on precise probe ori…
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
Theo Di Piazza, Carole Lazarus, Olivier Nempont +1
The rapid increase of computed tomography (CT) scans and their time-consuming manual analysis have created an urgent need for robust automated analysis techniques in clinical setti…
CT-3DFlow : Leveraging 3D Normalizing Flows for Unsupervised Detection of Pathological Pulmonary CT scans
Aissam Djahnine, Alexandre Popoff, Emilien Jupin-Delevaux +3
Unsupervised pathology detection can be implemented by training a model on healthy data only and measuring the deviation from the training set upon inference, for example with CNN-…
Aortic Wall Stiffness Depends on Ultrasound Probe Pressure
Marta Irene Bracco, Jonas Peter Eiberg, Ulver Spangsberg Lorenzen +2
OBJECTIVE: Assessing the biomechanical behaviour of the aortic wall in vivo can potentially improve the diagnosis and prognosis of patients with abdominal aortic aneurysms (AAA). W…