Siawoosh Mohammadi

The paper validates 2D histology for representing axon radius distributions and conduction velocities using 3D reconstructions of rat axons and applies this to human data.

The paper quantifies how MRI parameters and tissue volume change in human brains during fixation and PBS immersion, providing a resource for linking in vivo MRI to postmortem data.

This study examines how post-mortem tissue conditions and fixation progression affect diffusion tensor imaging parameters in whole human brains, finding that mean diffusivity is a robust marker while fractional anisotropy requires microstructure-aware interpretation.

The paper analyzes human white matter fibers to compare thickness and myelination between long and short fibers, finding shorter fibers are thinner and less myelinated but have similar g-ratio.

ACID is an open-source MATLAB toolbox for processing and modeling diffusion MRI data from brain, spinal cord, and ex vivo specimens, incorporating artifact correction, biophysical models, and BIDS compatibility.

This study compares axisymmetric diffusion kurtosis imaging with and without Rician bias correction, finding that the combination improves parameter estimation accuracy at low SNRs.

The paper links conduction velocity in the parahippocampal cingulum bundle to autobiographical memory recall ability in healthy adults using MR g-ratio measurements.

The paper introduces a method to estimate local errors in multi-parameter mapping (MPM) neuroimaging data, improving group-level sensitivity by accounting for noise and artefacts.

The paper improves axonal volume fraction estimation in diffusion MRI by introducing linear calibration parameters, validated using ex-vivo mouse data and electron microscopy.

This paper introduces a method to estimate the orientation-independent R2* (R2,iso*) from multi-echo MRI data, showing it works best with long echo times but fails with typical in-vivo protocols.

The paper introduces a CNN-based method to estimate MRI-visible effective axon radius using light microscopy data, showing higher accuracy than traditional arithmetic mean radius estimates.

This study improves susceptibility distortion correction in diffusion MRI data using a new pipeline, enhancing g-ratio mapping accuracy.