Organized by researchers from @aicentre.dk @ucph.bsky.social @mghmartinos.bsky.social @harvardmed.bsky.social @bispebjerghospital.bsky.social
@stefanocerri.bsky.social @asbjornmunk.bsky.social @peirong26.bsky.social
22.04.2025 13:22 — 👍 5 🔁 0 💬 0 📌 0
🇰🇷 Join us for a half-day workshop in South Korea #MICCAI2025!
Read more about the challenge and signup on:
➡️ fomo25.github.io
🤗: huggingface.co/datasets/FOMO25/FOMO-MRI
💻: github.com/fomo25/baseline-codebase
22.04.2025 13:05 — 👍 4 🔁 0 💬 1 📌 1
💻 Comprehensive Code-Release
Participants are provided with a baseline framework to carry out both pretraining and finetuning, enabling them to concentrate on specific components of the workflow.
22.04.2025 13:05 — 👍 4 🔁 0 💬 1 📌 0
🔥 Few-shot Evaluation on Clinical Data
Both tracks will be evaluated on three few-shot and out-of-domain tasks on clinical data: infarct detection, meningioma segmentation, and brain age estimation.
No restrictions on fine-tuning method.
22.04.2025 13:05 — 👍 4 🔁 0 💬 1 📌 0
🎉 Two submission tracks: "Methods" and "Open"
1️⃣: Train a model on FOMO-60K and competebest pretraining method.
2️⃣: Train a foundation model on any combination of data (both public and private) and showcase your foundation model with no restrictions.
22.04.2025 13:05 — 👍 4 🔁 0 💬 1 📌 0
💿 Large-scale Dataset
We release FOMO-60K, a large-scale dataset of 60,529 brain MRI from diverse set of resources, including clinical scans!
Dataset has been skull-stripped, co-registered and RAS-oriented, making it straightforward to start pretraining on.
Available on 🤗
22.04.2025 13:05 — 👍 4 🔁 0 💬 1 📌 0
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 ⬇️
22.04.2025 13:03 — 👍 13 🔁 8 💬 1 📌 1
