#Neuroimaging
Showing 33 of 33 repositories tagged #neuroimaging, ranked by stars
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Train AI models efficiently on medical images using any framework
Deep Learning Toolkit for Medical Image Analysis
Machine learning for NeuroImaging in Python
Deep learning software to decode EEG, ECG or MEG signals
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
:warning: OBSOLETE | Multi-platform, free open source software for visualization and image computing.
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.
Workflows and interfaces for neuroimaging packages
Python package to access a cacophony of neuro-imaging file formats
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
Open-source Python library for reproducible deep learning in neuroimaging
The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠
MNE-CPP: The C++ framework for real-time functional brain imaging.
yet another brain plot - beautiful brain visualisations for the cortex, subcortex, and tracts.
Classifying ADHD fMRI data with a CNN+LSTM Model
Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute
R library for structural neuroimaging. Provides high-level functions to access (read and write) and visualize surface-based brain morphometry data for individuals and groups.
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
The NeuroMorph analysis and visualization toolkit
Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
Multi-modal Image Registration And Connectivity anaLysis
A lightweight package to plot brain surfaces with Python.
Check metadata and visualize neuroimages within VSCode.
Website of the BrainHack School
Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, skull-stripped brain in a standard coordinate space
Research data management in biomedical and machine learning applications
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models (NeurIPS 2023 Oral)
Open Source EEG
Python package for analysis and visualization of functional ultrasound imaging data.
Python Library to Read FreeSurfer's Cortical Parcellation Anatomical Statistics
SPM Notebooks