The ability of fiber tractography to delineate non‐invasively the white matter fiber pathways
of the brain raises possibilities for clinical applications and offers enormous potential for …

Virtual dissection of diffusion MRI tractograms is cumbersome and needs extensive
knowledge of white matter anatomy. This virtual dissection often requires several inclusion …

The individual course of white matter fiber tracts is an important factor for analysis of white
matter characteristics in healthy and diseased brains. Diffusion-weighted MRI tractography …

In this paper, we present an automated approach for segmenting multiple sclerosis (MS)
lesions from multi-modal brain magnetic resonance images. Our method is based on a deep …

Tractography has created new horizons for researchers to study brain connectivity in vivo.
However, tractography is an advanced and challenging method that has not been used so …

In this work, we propose a diffusion MRI protocol for mining Parkinson's disease diffusion
MRI datasets and recover robust disease-specific biomarkers. Using advanced high angular …

Various diffusion MRI (dMRI) measures have been proposed for characterising tissue
microstructure over the last 15 years. Despite the growing number of experiments using …

The validity of research results depends on the reliability of analysis methods. In recent
years, there have been concerns about the validity of research that uses diffusion-weighted …

Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI)
tractography frequently require manual WM bundle segmentation, often called “virtual …

Magnetic resonance imaging (MRI) has developed into the most important tool for the
diagnosis and monitoring of multiple sclerosis (MS). Its high sensitivity for the evaluation of …