773 citations
- Lyon 1 UniversitéFR56 papers
- Centre National de la Recherche ScientifiqueFR54 papers
- InsermFR50 papers
- Institut National des Sciences Appliquées de LyonFR40 papers
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- Hospices Civils de LyonFR7 papers
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- Centre Hospitalier Universitaire de Saint-ÉtienneFR5 papers
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30 papers · 1 filter
An Ensemble-Based Two-Step Framework for Classification of Pap Smear Cell Images
Theo Di Piazza, Loic Boussel
Early detection of cervical cancer is crucial for improving patient outcomes and reducing mortality by identifying precancerous lesions as soon as possible. As a result, the use of…
The R-Vessel-X Project
Abir Affane, Mohamed Amine Chetoui, Jonas Lamy +16
1) Objectives: This technical report presents a synthetic summary and the principal outcomes of the project R-Vessel-X ("Robust vascular network extraction and understanding within…
A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization
Sophie Carneiro-Esteves, Antoine Vacavant, Odyssée Merveille
Curvilinear structures are present in various fields in image processing such as blood vessels in medical imaging or roads in remote sensing. Their detection is crucial for many ap…
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…
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew +55
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable A…
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…