Olivia W. Stanley

Open browser platform embeds a language-model neuroanatomy tutor in an MRI viewer and scores landmark placements against 21 expert-annotated templates using trained-rater error distributions.

The paper releases curated anatomical fiducial placements for MRI datasets to improve image registration quality control and registration accuracy.

This paper introduces anatomical fiducials (AFIDs) to improve spatial correspondence in brain imaging and demonstrates their effectiveness over traditional voxel overlap metrics.