collaborators

5 papers

q-bio.NC2026

Robust probabilistic measurement of structural-functional module consistency in infant brain development

Lingbin Bian, Feihong Liu, Qian Wang +3

Brain network is commonly divided into modules for analyzing their functionally segregated roles for group-level analysis in neuroimaging studies. Here, we introduce stochastic mod…

q-bio.NC2024

Evaluating the evolution and inter-individual variability of infant functional module development from 0 to 5 years old

Lingbin Bian, Nizhuan Wang, Yuanning Li +5

The segregation and integration of infant brain networks undergo tremendous changes due to the rapid development of brain function and organization. Traditional methods for estimat…

eess.IV2024

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion

Zihao Zhu, Tianli Tao, Yitian Tao +10

The infant brain undergoes rapid development in the first few years after birth.Compared to cross-sectional studies, longitudinal studies can depict the trajectories of infants bra…

eess.IV2024

Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks

Luoyu Wang, Yitian Tao, Qing Yang +5

Simultaneous functional PET/MR (sf-PET/MR) presents a cutting-edge multimodal neuroimaging technique. It provides an unprecedented opportunity for concurrently monitoring and integ…

eess.IV2024

Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion

Lianghu Guo, Tianli Tao, Xinyi Cai +11

Early infancy is a rapid and dynamic neurodevelopmental period for behavior and neurocognition. Longitudinal magnetic resonance imaging (MRI) is an effective tool to investigate su…