2 citations · 3 across the 5 of their papers we have counts for
5 papers
ConSEAL: Connectivity-Informed Streamline Endpoint Alignment for Diffeomorphic Cortical Registration
Yang Xiang, Martin Cole, Zhengwu Zhang
Cortical surface registration is often driven by local geometric descriptors (e.g., sulcal depth and curvature). While this approach achieves geometric correspondence, it neglects…
Alignment of Continuous Brain Connectivity
Martin Cole, Yang Xiang, Will Consagra +3
Brain networks are typically represented by adjacency matrices, where each node corresponds to a brain region. In traditional brain network analysis, nodes are assumed to be matche…
Continuous and Atlas-free Analysis of Brain Structural Connectivity
William Consagra, Martin Cole, Xing Qiu +1
Brain structural networks are often represented as discrete adjacency matrices with elements summarizing the connectivity between pairs of regions of interest (ROIs). These ROIs ar…
Analyzing Brain Structural Connectivity as Continuous Random Functions
William Consagra, Martin Cole, Zhengwu Zhang
This work considers a continuous framework to characterize the population-level variability of structural connectivity. Our framework assumes the observed white matter fiber tract…
Selection of inverse gamma and half-t priors for hierarchical models: sensitivity and recommendations
Zachary Brehm, Aaron Wagner, Erik VonKaenel +5
While the importance of prior selection is well understood, establishing guidelines for selecting priors in hierarchical models has remained an active, and sometimes contentious, a…