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NeuroPoly Lab is actively maintaining the following open-source projects:
- Spinal Cord Toolbox: Comprehensive software package dedicated to the processing and analysis of spinal cord MRI data. Written in Python.
- AxonDeepSeg: Segmentation of axons and myelin from histology data using deep learning. Written in Python.
- qMRLab: Software package that encloses a large variety of analysis techniques for quantitative MR image analysis. Written in MATLAB/Octave.
- ivadomed: Python library of deep learning methods for medical data segmentation, based on Pytorch framework. Collaboration between NeuroPoly Lab and the Mila.
- shimming-toolbox: Open-source software package enabling a variety of MRI shimming (magnetic field homogenization) techniques such as static and real-time shimming for use with standard manufacturer-supplied gradient/shim coils or with custom "multi-coil" arrays.
Featured work
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neuropoly/gmseg
Spinal cord gray matter segmentation using deep dilated convolutions.
Jupyter Notebook 45 -
neuropoly/domainadaptation
Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".
Python 43 -
neuropoly/deep-active-learning
Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)
Jupyter Notebook 38