Zilong Zeng

The yEvo Mutation Browser: Enhancing student understanding of experimental evolution and genomics through interactive data visualization

The yEvo Mutation Browser helps students and researchers visualize and interpret genome sequencing data from experimental evolution studies of yeast.

Precision probabilistic mapping reveals personalized functional topography in the early postnatal human brain

The paper maps personalized functional topography in the neonatal human brain using neuroimaging data and links it to neurocognitive outcomes in early childhood.

Functional connectome through the human life span

The paper analyzes functional and structural MRI data from 33,250 individuals to map lifespan changes in the functional connectome, identifying key developmental stages and differences in neurological disorders.

Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence

The paper maps cortical thinning patterns during childhood to adolescence, showing they are structurally constrained by white matter networks and linked to gene expression signatures.

SACNet: A Multiscale Diffeomorphic Convolutional Registration Network with Prior Neuroanatomical Constraints for Flexible Susceptibility Artifact Correction in Echo Planar Imaging

SACNet corrects susceptibility artifacts in dMRI scans using a registration network with neuroanatomical constraints, showing improved performance across diverse datasets.

3D-MASNet: 3D Mixed-scale Asymmetric Convolutional Segmentation Network for 6-month-old Infant Brain MR Images

This paper introduces 3D-MASNet, a 3D mixed-scale asymmetric convolutional network for segmenting infant brain MR images, achieving high Dice coefficients in GM, WM, and CSF.

A deep learning-based multisite neuroimage harmonization framework established with traveling-subject dataset

This paper introduces a deep learning framework to harmonize multisite neuroimaging data by removing site effects while preserving biological features, showing improved performance over traditional methods.