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neuropoly

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Ecole Polytechnique, Université de Montréal

Funding Links: https://github.com/sponsors/neuropoly

GitHub Sponsors Profile

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 Works

neuropoly/gmseg

Spinal cord gray matter segmentation using deep dilated convolutions.

Language: Jupyter Notebook - Stars: 45
neuropoly/domainadaptation

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

Language: Python - Stars: 43
neuropoly/deep-active-learning

Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)

Language: Jupyter Notebook - Stars: 38