Hans Martin Kjer

The paper introduces tLSSM, a label-free method for 3D fiber orientation mapping at micrometer resolution, demonstrating superior spatial resolution compared to diffusion MRI.

The paper develops a deep learning framework for 3D segmentation of brain white matter microstructures from X-ray nano holography data, achieving high accuracy in complex anatomical regions.

The paper examines fibre organisation in white matter across species and anatomical scales using diffusion MRI and x-ray synchrotron imaging, finding common structural principles despite species-specific variations.

The paper introduces the White Matter Generator tool to study how axon morphology and glial cell dynamics influence diffusion-weighted MRI signals in controlled white matter environments.

The paper evaluates powder averaging's effectiveness in diffusion MRI for axon diameter estimation in complex brain architectures, finding it accurate across parameters but sensitive to microdispersion at low b-values.

The paper shows that axon morphology is influenced by the local environment and affects diffusion MRI estimates of axon diameter and structure-function relationships.