research
∙
05/15/2023
Neuroimaging Meta Regression for Coordinate Based Meta Analysis Data with a Spatial Model
Coordinate-based meta-analysis combines evidence from a collection of Ne...
share
research
∙
08/09/2022
Cluster extent inference revisited: quantification and localization of brain activity
Cluster inference based on spatial extent thresholding is the most popul...
research
∙
07/30/2022
Confidence regions for the location of peaks of a smooth random field
Local maxima of random processes are useful for finding important region...
research
∙
06/18/2022
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior
Neural demyelination and brain damage accumulated in white matter appear...
research
∙
01/08/2022
Spatial Confidence Regions for Combinations of Excursion Sets in Image Analysis
The analysis of excursion sets in imaging data is essential to a wide ra...
research
∙
02/09/2021
Fisher Scoring for crossed factor Linear Mixed Models
The analysis of longitudinal, heterogeneous or unbalanced clustered data...
research
∙
02/24/2020
Permutation inference for Canonical Correlation Analysis
Canonical correlation analysis (CCA) has become a key tool for populatio...
research
∙
10/05/2018
Reply to Chen et al.: Parametric methods for cluster inference perform worse for two-sided t-tests
One-sided t-tests are commonly used in the neuroimaging field, but two-s...
research
∙
04/09/2018
Cluster Failure Revisited: Impact of First Level Design and Data Quality on Cluster False Positive Rates
Methodological research rarely generates a broad interest, yet our work ...
research
∙
03/04/2017