Y Zhang

This paper introduces DECODE-Plex, a deep learning framework for multi-channel single-molecule localization microscopy, improving imaging speed and quality in dense, overlapping data.

The paper develops a comprehensive computational model of the human head to optimize visual brain-machine interfaces by simulating the entire visual pathway and surrounding tissues.

scPert predicts single-cell transcriptomic responses to genetic perturbations by integrating large language model embeddings and biological knowledge, improving accuracy in both single-gene and combinatorial perturbations.

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.

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.