I'm very happy to announce our new open foundation model for abdominal and chest CT, Jolia, by the @raidium_med team.
Corentin Dancette
@cdancette
Machine Learning Researcher @Raidium_med. PhD in Deep Learning from Sorbonne Université. Graduated from MS. at @GeorgiaTech and @CentraleSupelec.
Joined March 2009
- Excited to be at CVPR in Denver for the two workshop days, June 3 and 4 to present our research on foundation models in radiology! We'll be at the FMV workshop on June 3. Feel free to contact me for a chat about our research!
- Excited to share our latest work at @raidium_med Curia: A Multi-Modal Foundation Model for Radiology. Pre-print: arxiv.org/abs/2509.06830 We are releasing our base model's weights, Curia-B, to the research community: huggingface.co/raidium/curia
- Happy to share two publications by our team! First, RadSAM: Segmenting 3D radiological images with a 2D promptable model by @SovanKhlt. We show how to adapt SAM for 3D CT images, using an iterative inference. arxiv.org/abs/2504.20837 It will be presented at MICCAI 2025 in Seoul!
- The first open "Audio LLM", by Kyutai, is available for demo! Also check out the announcement video for examples, it's really impressive, congrats to the team! youtube.com/live/hm2IJSKcY…
