16 citations · 17 across the 2 of their papers we have counts for
2 papers
stat.AP2026★ 1 cited
Excessive data censoring in fMRI undermines individual precision and weakens brain-behavior associations
Amanda Mejia, Joanne Hwang, Damon Pham +4
Censoring high-motion volumes in fMRI is common practice to reduce effects of head motion on functional connectivity (FC). Although aggressive censoring removes more noise, it caus…
cs.CV2018★ 16 cited
Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks
Hongming Li, Theodore D. Satterthwaite, Yong Fan
Brain age prediction based on neuroimaging data could help characterize both the typical brain development and neuropsychiatric disorders. Pattern recognition models built upon fun…