Machine Learning Researcher @Raidium_med. PhD in Deep Learning from Sorbonne Université. Graduated from MS. at @GeorgiaTech and @CentraleSupelec.

Joined March 2009
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.
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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 🚀
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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/
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Congrats to the whole team for their hard work! @SovanKhlt, @CharlesCorbiere, Baptiste Callard, Léo Butsanets, Théo Danielou, Antoine Saporta, Amaury Prat, Leo Machado, @Phylliade
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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 👋
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Corentin Dancette retweeted
We'll be at @eccvconf 2026 in Malmö, September 8 to 13, presenting our latest ML research for radiology at the MedFMB and AI4M3D workshops. More details on what we're sharing to come. If you're attending, come find our team!
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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
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We will present RadMatch at the oral session, in ECCV MedFMB workshop.
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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
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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!
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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!
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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)
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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 [1/9]
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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.
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Thanks to our partners @Genci_fr / IDRIS / AI Factory France for their help and resource allocation, which were essential to this project! @s_requena
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