3 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression
Tong Lu, Yuan Zhang, Vince Lyzinski +4
The joint analysis of multimodal neuroimaging data is critical in the field of brain research because it reveals complex interactive relationships between neurobiological structure…
stat.ME2023★ 3 cited
Multiple Imputation Method for High-Dimensional Neuroimaging Data
Tong Lu, Chixiang Chen, Hsin-Hsiung Huang +3
Missingness is a common issue for neuroimaging data, and neglecting it in downstream statistical analysis can introduce bias and lead to misguided inferential conclusions. It is th…
stat.ME2023★ 1 cited
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints
Tong Lu, Yuan Zhang, Peter Kochunov +2
Brain connectome analysis commonly compresses high-resolution brain scans (typically composed of millions of voxels) down to only hundreds of regions of interest (ROIs) by averagin…