Yaping Wang

The paper trains a CNN model for brain age prediction and uses network occlusion sensitivity analysis to identify brain regions contributing to age prediction across the lifespan.

This paper develops a deep learning method for individualized thalamic parcellation using diffusion MRI, combining group atlas guidance with single-subject data to improve accuracy and reproducibility.

The paper identifies 443 network-specific genes in the human cerebellum and links their co-expression patterns to intra-cerebellar functional connectivity, revealing gene subsets related to neurodevelopment and neurotransmission.