Jeroen Mollink

This paper develops a hybrid diffusion MRI-microscopy tractography method to improve 3D brain connectivity reconstruction by combining high-resolution microscopy with diffusion MRI data.

The paper introduces the BigMac dataset, combining multi-contrast MRI and microscopy data from a macaque brain, enabling multimodal analysis across scales and tissue states.

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.

This paper estimates axial diffusivity in the NODDI model using high b-value data and shows the impact of noise assumptions on parameter estimates.

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 presents a pipeline to generate realistic white matter models and uses deep learning to decode microstructural parameters from multi-echo multi-orientation MR data.

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 paper presents a semi-automated method for dense segmentation of 3D white matter EM data, producing detailed annotations of cellular and subcellular compartments.

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

This paper proposes a joint model for diffusion MRI and microscopy data to improve microstructural analysis by combining complementary information from both modalities.

This study investigates white matter degeneration in the perforant path of ALS patients using diffusion MRI, polarized light imaging, and immunohistochemistry, finding significant changes in fractional anisotropy and myelin density.

The paper uses MRI data to show that white matter microstructure predicts functional connectivity between brain regions, with genetic variants linked to this relationship.