Neuroimaging analysis and visualization suite
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Updated
May 14, 2024 - C++
Neuroimaging analysis and visualization suite
Still a work in progress.
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
A crowdsource quality assurance application for use with neuroimaging datasets.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Multi-platform, free open source software for visualization and image computing.
SPM Documentation
This repository stores image processing pipelines for magnetic resonance neuroimages developed during my PhD in Neuroscience and Imaging.
Slicer extensions index
BIDScoin converts your source-level neuroimaging data to BIDS
A framework for real-time brain signal streaming with MNE-Python.
Train AI models efficiently on medical images using any framework
3D Visualization of Brain MRI
Advanced Normalization Tools (ANTs)
Validator for the Brain Imaging Data Structure
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.
Deep learning software to decode EEG, ECG or MEG signals
Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist
Scripts we use for collecting and analyzing brain and behavior data on NeuroFusion
The Blue Brain BioExplorer (BBBE) is a tool for data visualization experts and scientists to extract and analyze scientific data from visualization and interactive exploration
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