75 citations · 78 across the 3 of their papers we have counts for
3 papers
An explainability framework for cortical surface-based deep learning
Fernanda L. Ribeiro, Steffen Bollmann, Ross Cunnington +1
The emergence of explainability methods has enabled a better comprehension of how deep neural networks operate through concepts that are easily understood and implemented by the en…
DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning
Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett
Whether it be in a man-made machine or a biological system, form and function are often directly related. In the latter, however, this particular relationship is often unclear due…
Serial Correlations in Single-Subject fMRI with Sub-Second TR
Saskia Bollmann, Alexander M. Pucket, Ross Cunnington +1
When performing statistical analysis of single-subject fMRI data, serial correlations need to be taken into account to allow for valid inference. Otherwise, the variability in the…