Thomas B. Shaw

This study uses ultra-high field fMRI to identify columnar-like functional patterns in human somatosensory cortex through vibration stimulation and cortical surface modelling.

The paper surveys QC practices for hippocampal subfield segmentation in MRI and provides recommendations to improve reliability and reporting.

VesselBoost is a Python tool for segmenting small blood vessels in human MRA data using deep learning and data augmentation to overcome labeling challenges.

Neurodesk provides a portable and reproducible neuroimaging analysis platform using software containers to enable accessible and flexible data analysis pipelines.

The paper introduces HumanBrainAtlas, a high-resolution in vivo MRI dataset with detailed segmentations for research, clinical, and educational use.

LASHiS improves longitudinal hippocampal subfield segmentation using multi-contrast MRI, showing better reliability and performance than existing methods.

This paper improves hippocampus subfield segmentation by using non-linear realignment to reduce movement artefacts and enhance image quality in MR scans.

This study finds that myelin content in specific white matter tracts predicts processing speed in healthy adults, with age-related differences observed across tracts.