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stat.AP2024
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis
Yuliang Xu, Timothy D. Johnson, Thomas E. Nichols +1
Bayesian Image-on-Scalar Regression (ISR) provides flexible, uncertainty-aware neuroimaging analysis. However, applying ISR to large-scale datasets such as the UK Biobank is challe…
stat.AP2017★ 20 cited
Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies
Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff +5
Working memory (WM) was one of the first cognitive processes studied with functional magnetic resonance imaging. With now over 20 years of studies on WM, each study with tiny sampl…