Atelier: Learning Local Self-Supervised Features for CryoEM Volumes via Hypernetworks.

arXiv:2609.30569v1 Announce Type: new Abstract: CryoEM map interpretation requires features that are spatially localized, consistent across samples, and informative across spatial scales. Most deep learning methods for map annotation extract features from fixe