papers
Publications (12)
stat.CO2017
Bayesian Analysis of fMRI data with Spatially-Varying Autoregressive Orders
Ming Teng, Farouk S. Nathoo, Timothy D. Johnson
stat.ME2024
Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors
Andrew S. Whiteman, Timothy D. Johnson, Jian Kang
stat.ME2024
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
Anna Menacher, Thomas E. Nichols, Timothy D. Johnson +1
stat.CO2017
Bayesian Computation for Log-Gaussian Cox Processes--A Comparative Analysis of Methods
Ming Teng, Farouk S. Nathoo, Timothy D. Johnson
stat.ME2016
Spatial Bayesian Latent Factor Regression Modeling of Coordinate-based Meta-analysis Data
Silvia Montagna, Tor Wager, Lisa Feldman-Barrett +2
stat.AP2026
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis
Yuliang Xu, Timothy D. Johnson, Thomas E. Nichols +1
stat.AP2017
The coordinate-based meta-analysis of neuroimaging data
Pantelis Samartsidis, Silvia Montagna, Thomas E. Nichols +1
stat.AP2014
Analysis of multiple sclerosis lesions via spatially varying coefficients
Tian Ge, Nicole Müller-Lenke, Kerstin Bendfeldt +2
stat.AP2008
Quantitative magnetic resonance image analysis via the EM algorithm with stochastic variation
Xiaoxi Zhang, Timothy D. Johnson, Roderick J. A. Little +1
stat.AP2014
A Bayesian hierarchical spatial point process model for multi-type neuroimaging meta-analysis
Jian Kang, Thomas E. Nichols, Tor D. Wager +1
stat.ME2023
Bayesian Inference for Brain Activity from Functional Magnetic Resonance Imaging Collected at Two Spatial Resolutions
Andrew S. Whiteman, Andreas J. Bartsch, Jian Kang +1
stat.AP2019
Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies
Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff +5