Julian McGinnis

Registration-based overlap methods significantly outperform other strategies in tracking multiple sclerosis lesions over time, revealing critical insights into lesion dynamics.

Lightweight conditional energies can dramatically enhance the observation-awareness of pretrained INRs without the need for retraining.

Representing complex 3D biomedical graphs as learned tokens unlocks generative modeling and efficient analysis of anatomical structures.