brain-imaging
There are 154 repositories under brain-imaging topic.
nilearn/nilearn
Machine learning for NeuroImaging in Python
nipy/nipype
Workflows and interfaces for neuroimaging packages
nipy/nibabel
Python package to access a cacophony of neuro-imaging file formats
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.
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.
netneurolab/neuromaps
A toolbox for comparing brain maps
cwatson/brainGraph
Graph theory analysis of brain MRI data
ME-ICA/tedana
TE-dependent analysis of multi-echo fMRI
aramis-lab/clinicadl
Framework for the reproducible processing of neuroimaging data with deep learning methods
adamkwolf/3d-nii-visualizer
A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5
nipy/mindboggle
Automated anatomical brain label/shape analysis software (+ website)
NSBLab/BrainEigenmodes
Code supporting 'Geometric constraints on human brain function'
PolarBean/DeepSlice
A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.
ai-med/quickNAT_pytorch
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
NeuroVault/NeuroVault
Easy to use web database for statistical maps.
templateflow/templateflow
The TemplateFlow Archive - A DataLad super-dataset
ColeLab/ColeAnticevicNetPartition
Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)
netneurolab/netneurotools
Useful tools from the Network Neuroscience Lab
volBrain/AssemblyNet
AssemblyNet: 3D Whole Brain MRI segmentation pipeline
razvanmarinescu/brain-coloring
BrainPainter - Brain Visualisation Software
zhengyang-wang/Unet_3D
3D Unet Equipped with Advanced Deep Learning Methods
arttumiettinen/pi2
C++ library and command-line software for processing and analysis of terabyte-scale volume images locally or on a computing cluster.
jondeaton/BraTS18-Project
Brain tumor segmentation using fully-convolutional deep neural networks.
Mentalab-hub/explorepy
Python API for Mentalab biosignal aquisition devices
ubamba98/Brain-Segmentation
Brain Segmentation on MRBrains18
vaibhavshukla182/Brain-MRI-Segmentation
Smart India Hackathon 2019 project given by the Department of Atomic Energy
NatLee/nipype-preprocess-on-brain-MR
The project is used to do preprocessing on brain MR images by using Nipype.
plotly/dash-brain-surface-viewer
Dash app for viewing brain surfaces saved as MNI files. Data from https://github.com/aces/brainbrowser
BrainDynamicsUSYD/nftsim
C++ library for simulation of multiscale neural field dynamics
IAmSuyogJadhav/Brainy
Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.
EIT-team/ScouseTom
Open Source EIT system using Keithley 6221 current source and EEG systems
sarslancs/graph_saliency_maps
Graph saliency maps through spectral convolutional networks for brain mapping
brainlife/ezbids
A web service for semi-automated conversion of raw imaging data to BIDS
Jfortin1/RAVEL
Intensity normalization of structural MRIs using RAVEL
tractor/tractor
Magnetic resonance imaging and tractography with R
jcreinhold/synthtorch
deep neural network-based image translation/synthesis