289 citations · 554 across the 25 of their papers we have counts for
5 papers · 1 filter
Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions
Haochang Shou, Russell T. Shinohara, Han Liu +2
This work is motivated by a study of a population of multiple sclerosis (MS) patients using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to identify active brain…
Fast Covariance Estimation for High-dimensional Functional Data
Luo Xiao, David Ruppert, Vadim Zipunnikov +1
For smoothing covariance functions, we propose two fast algorithms that scale linearly with the number of observations per function. Most available methods and software cannot smoo…
Structured Functional Principal Component Analysis
Haochang Shou, Vadim Zipunnikov, Ciprian M. Crainiceanu +1
Motivated by modern observational studies, we introduce a class of functional models that expands nested and crossed designs. These models account for the natural inheritance of co…
Parametrization of white matter manifold-like structures using principal surfaces
Chen Yue, Vadim Zipunnikov, Pierre-Louis Bazin +4
In this manuscript, we are concerned with data generated from a diffusion tensor imaging (DTI) experiment. The goal is to parameterize manifold-like white matter tracts, such as th…
Homotopic Group ICA for Multi-Subject Brain Imaging Data
Juemin Yang, Ani Eloyan, Anita Barber +5
Independent Component Analysis (ICA) is a computational technique for revealing latent factors that underlie sets of measurements or signals. It has become a standard technique in…