I'm a PhD student working on solutions for WM tractography based on diffusion MRI using deep learning. I study at the Université de Sherbrooke in Sherbrooke, Canada.
I am part of two labs:
- The Sherbrooke Connectivity Imaging Lab (SCIL)
- The Videos and Images Theory and Analytics Laboratory (VITAL).
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Poulin, P., Jörgens, D., Jodoin, P. M., & Descoteaux, M. (2019). Tractography and machine learning: Current state and open challenges. Magnetic resonance imaging. [Link]
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Poulin, P., Rheault, F., St-Onge, E., Jodoin, P. M., & Descoteaux, M. (2018). Bundle-Wise Deep Tracker: Learning to track bundle-specific streamline paths. Proceedings of the International Society for Magnetic Resonance in Medicine ISMRM-ESMRMB. [Link]
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Poulin, P., Cote, M. A., Houde, J. C., Petit, L., Neher, P. F., Maier-Hein, K. H., ... & Descoteaux, M. (2017, September). Learn to track: Deep learning for tractography. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 540-547). Springer, Cham. [Link]
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Havaei, M., Larochelle, H., Poulin, P., & Jodoin, P. M. (2016). Within-brain classification for brain tumor segmentation. International journal of computer assisted radiology and surgery, 11(5), 777-788. [Link]