2 citations · 5 across the 6 of their papers we have counts for
6 papers
Learnable Community-Aware Transformer for Brain Connectome Analysis with Token Clustering
Yanting Yang, Beidi Zhao, Zhuohao Ni +2
Neuroscientific research has revealed that the complex brain network can be organized into distinct functional communities, each characterized by a cohesive group of regions of int…
Bayesian pathway analysis over brain network mediators for survival data
Xinyuan Tian, Fan Li, Li Shen +2
Technological advancements in noninvasive imaging facilitate the construction of whole brain interconnected networks, known as brain connectivity. Existing approaches to analyze br…
Inference-based statistical network analysis uncovers star-like brain functional architectures for internalizing psychopathology in children
Selena Wang, Yunhe Liu, Wanwan Xu +2
To improve the statistical power for imaging biomarker detection, we propose a latent variable-based statistical network analysis (LatentSNA) that combines brain functional connect…
Bayesian mixed model inference for genetic association under related samples with brain network phenotype
Xinyuan Tian, Yiting Wang, Selena Wang +2
Genetic association studies for brain connectivity phenotypes have gained prominence due to advances in non-invasive imaging techniques and quantitative genetics. Brain connectivit…
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling
Selena Wang, Yiting Wang, Frederick H. Xu +2
Brain structural connectivity, capturing the white matter fiber tracts among brain regions inferred by diffusion MRI (dMRI), provides a unique characterization of brain anatomical…
Bayesian subtyping for multi-state brain functional connectome with application on adolescent brain cognition
Tianqi Chen, Chichun Tan, Hongyu Zhao +3
Converging evidence indicates that the heterogeneity of cognitive profiles may arise through detectable alternations in brain functions. Particularly, brain functional connectivity…