Dan Wu

This paper demonstrates diffusion MR microscopy at high resolution for 3D virtual histology of the human hippocampus, showing correspondence with histological markers and revealing structural changes in Alzheimer's disease.

This paper introduces STREAM, a deep learning framework for analyzing task-fMRI data, revealing directional information flow and reconfiguration in brain networks during visual processing.

This study maps gene expression patterns to cortical folding features in fetal brains, identifying molecular mechanisms and linking them to autism risk genes.

This study identifies distinct neural and molecular correlates of fluid and crystallized intelligence in adolescents using neuroimaging and transcriptomic data from the ABCD cohort.

The paper creates multi-resolution parcellations of the neonatal cerebral cortex using multi-modal MRI data, showing stability and reproducibility across features.

This study shows that postnatal experience selectively shapes structural and functional development of the visual cortex in human neonates, but not cortical myelination or overall functional circuits.

Bulk2Space deconvolves bulk RNA-seq data to reveal spatial and cellular heterogeneity using single-cell and spatial transcriptomics references, identifying immune cell spatial variance and novel gene patterns in mouse brain regions.

This study constructs a Chinese fetal brain diffusion MRI atlas using FOD-based methods, revealing non-monotonic microstructural changes and developmental order of white matter tracts.

This paper develops an automated pipeline for fetal brain MRI analysis, including extraction, super-resolution, and 4D atlasing, to map fetal brain development in a Chinese population.

This study shows that canonical Wnt signaling regulates patterning, differentiation, and nucleogenesis in mouse hypothalamus and prethalamus, with defects observed in both gain and loss of function mutations.