A re-implementation of FSL's Brain Extraction Tool in Python

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

Extract brain and remove skulls from brain CT and CTA images

Fast brain extraction using neural networks

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

Neural network-based preprocessing of MRI data: Prepping brain images in seconds 🔥

PNH segmentation pipelines based on nipype

atlasBREX: Automated averaged template-derived brain extraction in animal MRI

preprocessing tools for multi-modal 3D brain MRI

python bindings for ROBEX brain extraction

Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI

🤗 neukit: web application for automatic brain extraction and preoperative tumor segmentation from MRI

Automated brain segmentation

we will extract the brain boundaries from the resting state functional magnetic resonance imaging (rs-fMRI) scans

MATLAB mex interface and Python wrapper for standalone Brain Extraction Tool (bet2),

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

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)