Release flagship benchmarks
Publish CTSpinoPelvic1K and its evaluation suite as a citable, openly licensed resource for the imaging-AI community.
Goals
What success looks like for the consortium — near-term deliverables and the longer arc.
Audit the tools people trust
Quantify how widely used segmentation tools behave on variant anatomy, and publish the failure modes honestly.
Make rare anatomy first-class
Establish variant-aware training and evaluation as a default expectation, not an afterthought.
Lower the barrier to entry
Give new researchers a clean, well-documented starting point so they can build instead of re-curating data.
Connect institutions
Grow a durable, cross-institutional network around shared open spine imaging infrastructure.
Bridge bench and bedside
Keep every dataset and metric tied to a real clinical question worth answering.
CNS 2026 Annual Meeting — Washington, DC