There are 40 repositories under neuroimaging topic.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
:warning: OBSOLETE | Multi-platform, free open source software for visualization and image computing.
Deep learning software to decode EEG, ECG or MEG signals
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Pycortex is a python-based toolkit for surface visualization of fMRI data
normalize the intensities of various MR image modalities
Brain Imaging Data Structure (BIDS) Specification
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Brainchop: In-browser 3D MRI rendering and segmentation
A toolbox for comparing brain maps
Software platform for clinical neuroimaging studies
Validator for the Brain Imaging Data Structure
Coordinate- and image-based meta-analysis in Python
Graph theory analysis of brain MRI data
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.
Framework for the reproducible processing of neuroimaging data with deep learning methods
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
A curated list of awesome deep learning applications in the field of neurological image analysis