neuroimaging
There are 777 repositories under neuroimaging topic.
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Slicer/Slicer
Multi-platform, free open source software for visualization and image computing.
nitrain/nitrain
Train AI models efficiently on medical images using any framework
DLTK/DLTK
Deep Learning Toolkit for Medical Image Analysis
ANTsX/ANTs
Advanced Normalization Tools (ANTs)
nilearn/nilearn
Machine learning for NeuroImaging in Python
rordenlab/dcm2niix
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
fieldtrip/fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
Slicer/SlicerGitSVNArchive
:warning: OBSOLETE | Multi-platform, free open source software for visualization and image computing.
nipy/nipype
Workflows and interfaces for neuroimaging packages
dipy/dipy
DIPY is the paragon 3D/4D+ medical 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.
nipy/nibabel
Python package to access a cacophony of neuro-imaging file formats
freesurfer/freesurfer
Neuroimaging analysis and visualization suite
ANTsX/ANTsPy
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
nipreps/fmriprep
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
gallantlab/pycortex
Pycortex is a python-based toolkit for surface visualization of fMRI data
mikeroyal/Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
neuroneural/brainchop
Brainchop: In-browser 3D MRI rendering and segmentation
brainiak/brainiak
Brain Imaging Analysis Kit
jcreinhold/intensity-normalization
Normalize MR image intensities in Python
bids-standard/bids-specification
Brain Imaging Data Structure (BIDS) Specification
nipreps/mriqc
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain
netneurolab/neuromaps
A toolbox for comparing brain maps
aramis-lab/clinica
Software platform for clinical neuroimaging studies
bids-standard/bids-examples
A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.
neurostuff/NiMARE
Coordinate- and image-based meta-analysis in Python
cwatson/brainGraph
Graph theory analysis of brain MRI data
bids-standard/legacy-validator
Validator for the Brain Imaging Data Structure
aramis-lab/clinicadl
Framework for the reproducible processing of neuroimaging data with deep learning methods
UNFmontreal/Dcm2Bids
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
ME-ICA/tedana
TE-dependent analysis of multi-echo fMRI
josedolz/LiviaNET
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"
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
sappelhoff/pyprep
PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data
alxndrkalinin/awesome-deepneuroimage
A curated list of awesome deep learning applications in the field of neurological image analysis