When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities on Brain MRIs

In clinical practice, as a first approximation, the severity of an abnormality on an image is often determined by measuring its volume. Researchers often first segment this abnormality with a neural network trained by voxel-wise labels and thereafter extract the volume. Instead of this indirect two steps approach, we propose to train neural...

Long-term Effect of MPH on White Matter Tracts of Adults with ADHD: An Application of Consistent Model Selection followed by TBSS

We focused on analysis of long-term medication influenced white matter tracts based on diffusion-weighted MRI brain images of patients with ADHD disorder. We applied a framework of consistent model selection with Tract-based spatial statistics (TBSS) to give proper and consistent modelling of fiber-crossing in white matter. An orientation atlas...