Neuroimaging analysis and visualization suite

Software platform for clinical neuroimaging studies

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

Qoala-T is a supervised-learning tool for quality control of FreeSurfer segmented MRI data

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

R library for structural neuroimaging. Provides high-level functions to access (read and write) and visualize surface-based brain morphometry data for individuals and groups.

Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)

GNU R package for reading and writing neuroimaging file formats. Not limited to FreeSurfer anymore, despite its name.

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

Code for Chapter 19 - A Step-By-Step Tutorial On How To Build A Machine Learning Model

Python Library to Read FreeSurfer's Cortical Parcellation Anatomical Statistics

Pipelines and tools for MRI analysis

Matlab Wrapper of Surface-based Analysis. Custom Matlab functions for running analyses with FreeSurfer, CoSMoMVPA, HCP pipeline (and SamSrf)...

Javascript engine for 3D brain model (used by RAVE project)

Handling of structural neuroimaging file formats for Julia.

A python module designed to reduce your brain load while accessing FreeSurfer brain surface and morphometry data files of single subjects and groups.

Python Library to Read and Write Surface Files in Freesurfer's TriangularSurface Format

Shell scripts to run FreeSurfer's recon-all in parallel on multi-core machines. Developed during my time in Christine Ecker's Lab at KGU.

Software Tool for the Analysis and Visualization of MRI images of the brain