Sean Foxley

The paper introduces an automated pipeline for registering stand-alone histology sections to whole-brain MRI data with sub-voxel accuracy.

This paper introduces an automated pipeline to extract quantitative histological metrics for voxelwise MRI-histology comparisons and finds activated microglia strongly predicts DTI FA, suggesting diffusion MRI sensitivity to neuroinflammation.

The paper introduces the Digital Brain Bank, an open access platform providing curated post-mortem neuroimaging datasets across species and modalities for neuroanatomical and neuropathological research.

This paper develops a Kinetic Tensor model to correct T2 inhomogeneity in post-mortem brain imaging by accounting for fixative outflux, showing improved alignment with histological markers.

The paper images a single postmortem mouse brain across five orders of spatial resolution using multiple imaging modalities to study multi-scale brain organization and pathologies.

This paper proposes using two-flip angle DW-SSFP data and a Gamma distribution model to correct for B1 inhomogeneity and improve diffusivity estimates in post-mortem human brains at 7T.

The paper describes a pipeline for quantitative susceptibility and R2* mapping in post-mortem brains and compares results between ALS patients and controls using histology validation.

This study shows that somatosensory experience in adult rats alters white matter structure and myelin-related gene expression, suggesting myelination as an underlying mechanism.

The paper introduces a pipeline for automatically aligning histological images with whole-brain MRI data, achieving sub-millimetre accuracy and outperforming manual methods.