3 papers
cs.CV2025
Curia: A Multi-Modal Foundation Model for Radiology
Corentin Dancette, Julien Khlaut, Antoine Saporta +20
AI-assisted radiological interpretation is based on predominantly narrow, single-task models. This approach is impractical for covering the vast spectrum of imaging modalities, dis…
cs.CV2025
RadSAM: Segmenting 3D radiological images with a 2D promptable model
Julien Khlaut, Elodie Ferreres, Daniel Tordjman +4
Medical image segmentation is a crucial and time-consuming task in clinical care, where mask precision is extremely important. The Segment Anything Model (SAM) offers a promising a…
eess.IV2024
ONCOPILOT: A Promptable CT Foundation Model For Solid Tumor Evaluation
Léo Machado, Hélène Philippe, Ãlodie Ferreres +12
Carcinogenesis is a proteiform phenomenon, with tumors emerging in various locations and displaying complex, diverse shapes. At the crucial intersection of research and clinical pr…