5 citations · 6 across the 3 of their papers we have counts for
4 papers
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation
Fang-Cheng Yeh
Deep learning models usually require sufficient training data to achieve high accuracy, but obtaining labeled data can be time-consuming and labor-intensive. Here we introduce a te…
Increasing the Analytical Accessibility of Multishell and Diffusion Spectrum Imaging Data Using Generalized Q-Sampling Conversion
Fang-Cheng Yeh, Timothy D. Verstynen
Many diffusion MRI researchers, including the Human Connectome Project (HCP), acquire data using multishell (e.g., WU-Minn consortium) and diffusion spectrum imaging (DSI) schemes…
Mapping Topographic Structure in White Matter Pathways with Level Set Trees
Brian P. Kent, Alessandro Rinaldo, Fang-Cheng Yeh +1
Fiber tractography on diffusion imaging data offers rich potential for describing white matter pathways in the human brain, but characterizing the spatial organization in these lar…
FuSSO: Functional Shrinkage and Selection Operator
Junier B. Oliva, Barnabas Poczos, Timothy Verstynen +4
We present the FuSSO, a functional analogue to the LASSO, that efficiently finds a sparse set of functional input covariates to regress a real-valued response against. The FuSSO do…