mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Multi-platform, free open source software for visualization and image computing.
Advanced Normalization Tools (ANTs)
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Coordinate- and image-based meta-analysis in Python
Python package to access a cacophony of neuro-imaging file formats
Pycortex is a python-based toolkit for surface visualization of fMRI data
Machine learning for NeuroImaging in Python
A curated, verified knowledge hub for MRI research — physics, acquisition, reconstruction, analysis, quantitative MRI, spectroscopy, and hardware. Install: npx skills add KeWang0622/mri-research-skill
Neuroimaging analysis and visualization suite
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.
Deep learning software to decode EEG, ECG or MEG signals
MNE-CPP: The C++ framework for real-time functional brain imaging.
Workflows and interfaces for neuroimaging packages
That's all 14 repositories in this period.