
Machine Learning Researcher @Raidium_med. PhD in Deep Learning from Sorbonne Université. Graduated from MS. at @GeorgiaTech and @CentraleSupelec.
Joined March 2009
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Corentin Dancette retweeted
We’ve fixed a bug that was degrading image understanding in GPT-6 Sol and GPT-6 Luna. You should now see better results on visual tasks in the API and Codex, including computer use.
Corentin Dancette retweeted
Heading to #ECCV2026 in Malmö, Sept 8-13, presenting 4 works at MedFMB & AI4M3D: RadMatch (open source report evaluation), Jolia, Curia-2 & Curia-MAE, a new addition to the Curia family.
Come find our team there 🚀
I'll be at @eccvconf this week with the @raidium_med team!
Excited to present 4 papers in two workshops:
MedFMB (Tuesday afternoon) and AI4M3D (Wednesday morning)
medfmb.github.io/
ai4m3d.github.io/
At AI4M3D (Wednesday Morning):
Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation (arxiv.org/abs/2608.05844)
and we also present Jolia and Curia !
Congrats to the whole team for their hard work! @SovanKhlt, @CharlesCorbiere, Baptiste Callard, Léo Butsanets, Théo Danielou, Antoine Saporta, Amaury Prat, Leo Machado, @Phylliade
Corentin Dancette retweeted
Malmö this week for #ECCV2026. Presenting RadMatch at the MedFM-Bench workshop. Come say hi if you work on medical foundation model or radiology report generation 👋
When working on radiology report generation, we noticed a gap in evaluation : a metric that was reliable and auditable, and could guide us to improve models. To fill this gap, we just released RadMatch !
Congrats to @CharlesCorbiere and the team, more to come soon!
Today we're sharing RadMatch, an open source framework that evaluates AI-generated radiology reports finding by finding, not just word overlap.
Accepted at the MedFMB workshop, ECCV 2026.
Full blogpost: raidium.eu/blog/RadMatch/?mt…
#MedicalImaging #MLResearch
Corentin Dancette retweeted
Today we're sharing RadMatch, an open source framework that evaluates AI-generated radiology reports finding by finding, not just word overlap.
Accepted at the MedFMB workshop, ECCV 2026.
Full blogpost: raidium.eu/blog/RadMatch/?mt…
#MedicalImaging #MLResearch
Excited to go to MICCAI this year to present our oral paper, Curia 2, and a keynote at the FOMO workshop !
We're heading to MICCAI 2026 in Strasbourg (Sept 27–Oct 1)!
Our team will share our latest foundation model research: an oral presentation of Curia-2, a keynote by @cdancette at the FOMO26 workshop, & an open-source evening event.
Connect with our team on site to chat!
Corentin Dancette retweeted
In Taipei for #MIDL2026 this week! Excited to present our oral paper RadImageNet-VQA on Wednesday.
If you're around and want to chat about radiology foundation models or what we're building at @raidium_med, feel free to ping me!
Corentin Dancette retweeted
Today, we’re releasing Jolia, @Raidium’s vision-language foundation model for chest and abdominal CT
Models weight already available on @huggingface
huggingface.co/raidium/Jolia
(1/5)
Corentin Dancette retweeted
🚨 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗹𝗲𝗿𝘁! 🚨
How can we improve 3D CT analysis by aligning vision and language at a finer, concept-level granularity, moving beyond global representations?
@Raidium presents 𝗝𝗼𝗹𝗶𝗮 with its 𝗖𝗼𝗻𝗤𝘂𝗲𝗿 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸: a 3D CT foundation model leveraging concept-level vision-language alignment without spatial supervision.
By Julien Khlaut, @CharlesCorbiere , Baptiste Callard, Amaury Prat, Leo Butsanets, Antoine Saporta, Théo Danielou, Leo Machado, Korentin Le Floch, Tom Boeken, Pierre Manceron and @cdancette
Now you can watch and listen to the latest Medical AI papers daily on our YouTube and Spotify channels!
YouTube Explainer: youtu.be/PgzM1XUeRhI
YouTube Shorts: youtube.com/shorts/f7O4ExLlZ…
Spotify: open.spotify.com/show/4edRuS…
Here's why it's exciting: 👇🧵 1/9
#MedicalAI #Healthcare #CTImaging #VisionLanguage
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I'm very happy to announce our new open foundation model for abdominal and chest CT, Jolia, by the @raidium_med team.
Check out the pre-print for more details (arxiv.org/abs/2606.24570) and download the model weights on huggingface (huggingface.co/raidium/Jolia)!
Huge congrats to Julien Khlaut (@SovanKhlt) and the rest of the team for this amazing work!
Thanks to our partners @Genci_fr / IDRIS / AI Factory France for their help and resource allocation, which were essential to this project! @s_requena













