Showing 1-7 of 7 projects
Python library for analyzing magnetoencephalography (MEG) and electroencephalography (EEG) data.
Efficient AI model training on medical images using any deep learning framework.
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
Advanced toolkit for medical image registration, segmentation, and processing, with a focus on neuroimaging.
A Python library for machine learning on neuroimaging data, providing a high-level API for brain imaging analysis.
A Python library for deep learning to decode EEG, ECG, and MEG signals for neuroscience research.
A DICOM to NIfTI converter for medical imaging research and neuroimaging applications.
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