8 citations · 9 across the 4 of their papers we have counts for
4 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…
Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification
Theo Di Piazza, Carole Lazarus, Olivier Nempont +1
The rapid increase in the number of Computed Tomography (CT) scan examinations has created an urgent need for automated tools, such as organ segmentation, anomaly classification, a…
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…
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…