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

    Language:Python234317
  • smeisler/fsub_extractor

    Software that functionally segments white matter connections to generate task-specific subcomponents of fiber bundles.

    Language:Python8454
  • DanNBullock/WiMSE

    A collection of jupyter notebooks designed to provide a comprehensive exploration of concepts related to white matter segmentation.

    Language:Jupyter Notebook6346
  • giulia-berto/app-classifyber

    Code of Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation.

    Language:Python4102
  • leslie-zi-pan/WMH_Segmentation_ipynb

    Brain white matter hyperintensity segmentation, with T1 and FLAIR MRI images, using UNet.

    Language:Jupyter Notebook4101
  • 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.

    Language:Shell21355
  • brainlife/Vertical_Tracts

    Segmentation and analysis of vertical white matter tracts

    Language:MATLAB140
  • FBK-NILab/app-classifyber-segmentation

    Code to run Classifyber as a pre-trained bundle segmentation method.

    Language:Python1430
  • giulia-berto/app-multi-lap-anat

    White matter bundle segmentation as Anatomically-Informed multiple Linear Assignment Problems (multi-LAP-anat).

    Language:Python1011
  • 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.

    Language:MATLAB443
  • giulia-berto/app-multi-lap

    White matter bundle segmentation as multiple Linear Assignment Problems (multi-LAP).

    Language:Python01