Kayla M. Ferko

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

The paper shows that activity in perirhinal and entorhinal cortex best predicts perceived visual similarities between category exemplars compared to other ventral visual stream regions.

The paper uses 3D histological data and computational unfolding to identify hippocampal subfields through clustering of laminar and morphological features, revealing subfield boundaries and longitudinal differences.

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

This paper introduces a computational method to unfold the hippocampus, enabling 2D mapping of subfields and revealing structural regularities validated by histology.