5 papers
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging
Bo Li, Marius de Groot, Rebecca M. E. Steketee +7
Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurodegeneration. To study these associations in more detail, it is highly important…
When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans
Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen +4
To measure the volume of specific image structures, a typical approach is to first segment those structures using a neural network trained on voxel-wise (strong) labels and subsequ…
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes
Bo Li, Wiro Niessen, Stefan Klein +4
To accurately analyze changes of anatomical structures in longitudinal imaging studies, consistent segmentation across multiple time-points is required. Existing solutions often in…
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
Bo Li, Marius de Groot, Meike Vernooij +3
Tract-specific diffusion measures, as derived from brain diffusion MRI, have been linked to white matter tract structural integrity and neurodegeneration. As a consequence, there i…
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Florian Dubost, Marleen de Bruijne, Marco Nardin +10
Registration is a core component of many imaging pipelines. In case of clinical scans, with lower resolution and sometimes substantial motion artifacts, registration can produce po…