brain-extraction
There are 19 repositories under brain-extraction topic.
vanandrew/brainextractor
A re-implementation of FSL's Brain Extraction Tool in Python
CBICA/BrainMaGe
Brain extraction in presence of abnormalities, using single and multiple MRI modalities
WuChanada/StripSkullCT
Extract brain and remove skulls from brain CT and CTA images
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
wwu-mmll/deepbet
Fast brain extraction using neural networks
Macatools/macapype
PNH segmentation pipelines based on nipype
wwu-mmll/deepmriprep
Neural network-based preprocessing of MRI data: Prepping brain images in seconds š„
jlohmeier/atlasBREX
atlasBREX: Automated averaged template-derived brain extraction in animal MRI
BrainLesion/preprocessing
preprocessing tools for multi-modal 3D brain MRI
jcreinhold/pyrobex
python bindings for ROBEX brain extraction
mu40/fetal-align
Rapid headāpose detection for automated slice prescription of fetalābrain MRI
andreped/neukit
:hugs: neukit: web application for automatic brain extraction and preoperative tumor segmentation from MRI
neuronets/brainy
Automated brain segmentation
sjyothul/extracting-brain-boundaries-from-rs-fMRI-data
we will extract the brain boundaries from the resting state functional magnetic resonance imaging (rs-fMRI) scans
aghaeifar/bet2
MATLAB mex interface and Python wrapper for standalone Brain Extraction Tool (bet2),
sjyothul/clustering-technique-to-detect-number-of-clusters-in-brain-slices-of-rs-fmri-scans
we will apply clustering techniques to detect the number of clusters in the extracted brain slices of resting state functional magnetic resonance imaging (rs-fMRI) scans
sjyothul/supervised-machine-learning-to-classify-the-IC-images-of-rs-fMRI-scans-as-RSN
we will use supervised learning techniques to classify the independent component (IC) images of resting state functional magnetic resonance imaging (rs-fMRI) scans as Noise and Resting state network (RSN)