infinitesimal drift diffeomorphometry models for population shape analysis

This work discusses time dependent models of shape changes to study neurodegeneration.

B. C. Lee, D. J. Tward, Z. Hu, A. Trouve, and M. I. Miller, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.
Solving the where problem in neuroanatomy: a generative framework with learned mappings to register multimodal, incomplete data into a reference brain

We developed a generative algorithm for registration of micron resolution serial section microscopy images to the Allen reference atlas.

D. J. Tward, X. Li, B. Huo, B. C. Lee, M. Miller, and P. P. Mitra, in bioRxiv.
Diffeomorphic Upsampling of Serially Acquired Sparse 2D Cross-Sections in Cardiac MRI

We design diffeomorphic techniques to estimate unobserved data between sparsely sampled slices in cardiac MRI.

B. C. Lee, D. J. Tward, J. Wei, D. Tipre, R. G. Weiss, M. I. Miller, and S. Ardekani, in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
On variational solutions for whole brain serial-section histology using the computational anatomy random orbit model
B. C. Lee, D. J. Tward, P. P. Mitra, and M. I. Miller, in arXiv preprint arXiv:1802.03453.