Alex J. Lee

This study identifies functional network changes in neurodegenerative diseases using MRI data, linking brain atrophy to specific connectivity patterns and cognitive deficits.

This paper introduces CellTransformer, a self-supervised framework for detecting fine-grained spatial domains in mouse brain spatial transcriptomics data, achieving high consistency across large datasets.

This paper identifies stable spatial gene expression patterns in the mouse brain using staNMF, revealing new regions and outperforming PCA and clustering methods.

This study uses deep learning to analyze fMRI data and identifies dynamic spatial gradients that underlie brain activity states and functional connectivity.

The paper identifies four time-varying functional connectivity modes in the anterior insula that exhibit both state and trait characteristics, relating to empathy and brain connectivity patterns.