white-matter-segmentation
There are 12 repositories under white-matter-segmentation topic.
npnl/PALS
Pipeline for Analysing Lesions after Stroke (PALS) is a scalable and user-friendly toolbox designed to facilitate standardised analysis and ensure quality in stroke research using T1-weighted MRIs
smeisler/fsub_extractor
Software that functionally segments white matter connections to generate task-specific subcomponents of fiber bundles.
DanNBullock/WiMSE
A collection of jupyter notebooks designed to provide a comprehensive exploration of concepts related to white matter segmentation.
giulia-berto/app-classifyber
Code of Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation.
leslie-zi-pan/WMH_Segmentation_ipynb
Brain white matter hyperintensity segmentation, with T1 and FLAIR MRI images, using UNet.
ivadomed/model_seg_gm-wm_t2star_7t_unet2d-multiclass
A deep learning model that allows robust SC/GM multi-class segmentation based on ultra-high resolution 7T T2*-w MR images
brainlife/app-tractseg
Brainlife App for MIC-DKFZ/TractSeg. A tool for fast and accurate white matter bundle segmentation from Diffusion MRI using pretrained pytorch ML model.
brainlife/Vertical_Tracts
Segmentation and analysis of vertical white matter tracts
FBK-NILab/app-classifyber-segmentation
Code to run Classifyber as a pre-trained bundle segmentation method.
giulia-berto/app-multi-lap-anat
White matter bundle segmentation as Anatomically-Informed multiple Linear Assignment Problems (multi-LAP-anat).
brainlife/app-streamlineCategorySegmentation
Automatically segment a tractogram into categories (i.e. fronto-parietal tracts, parieto-temporal tracts, etc). THIS APPLICATION IS HIGHLY RECOMMENDED AS A MEANS OF RUNNING AN INITIAL QUALITY ASSURANCE CHECK ON YOUR GENERATED TRACTOGRAPHY OR AS A SANITY CHECK ON PROBLEMATIC SEGMENTATIONS.
giulia-berto/app-multi-lap
White matter bundle segmentation as multiple Linear Assignment Problems (multi-LAP).