Work done with colleagues from the @aicentre.dk, including @asbjornmunk.bsky.social (co–first author), @s-llambias.bsky.social, @jakamb.bsky.social, and other amazing collaborators.

Introducing FOMO300K — a large-scale, heterogeneous brain MRI dataset for self-supervised learning

🧠 318,877 scans from 920 datasets, accessible in a single click via 🤗 Hugging Face

📄 Preprint: arxiv.org/pdf/2506.14432
📊 Dataset: huggingface.co/datasets/FOM...
💻 Code: github.com/Sllambias/as...

Deadline extended!

Interested in foundation models for brain MRI? You still have time to participate in the FOMO25 Challenge! Deadline has been extended until August 31, 2025.

To get started, check out:

🌍 website: fomo25.github.io
💻 code: lnkd.in/d8W8k9aV
🤗 checkpoints: lnkd.in/dZESityQ

FOMO25 accepted at #MICCAI2025! 🚀

Excited to announce the first challenge at MICCAI focusing on the development of self-supervised pretraining of foundation models for brain MRI! 🧠

With access to a large-scale dataset, codebase, cash prices and multiple tracks.

Read more ⬇️

Here is the open access link to the complete recording (of more than 8 hours) of our NeuroAI worskhop at NeurIPS 2024.

lnkd.in/grNZHMQJ

It also includes all the slides and links to all 43 papers presented during the workshop.

#NeuroAI @neuro-ai.bsky.social

Optimist: The cup is half full
Pessimist: The cup is half empty
Bayesian:

New paper in Imaging Neuroscience by Karthik Gopinath, Juan Eugenio Iglesias, et al:

Synthetic data in generalizable, learning-based neuroimaging

doi.org/10.1162/imag...