Xu Li

The paper describes improvements in diffusion MRI processing for the HBCD study, introducing new software and observing developmental patterns in brain data.

The paper introduces a hybrid deep learning architecture combining topological priors with encoder-decoder networks to improve semantic segmentation of neuroanatomical data with high precision and recall.

This paper introduces a generative framework to register multimodal, incomplete neuroimaging data into a reference brain atlas, enabling geometric quantification of biological and technical variation.