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Number of items: 6.

Martin, A. R., De Leener, B., Cohen-Adad, J., Kalsi-Ryan, S., Cadotte, D. W., Wilson, J. R., ... Fehlings, M. G. (2018). Monitoring for myelopathic progression with multiparametric quantitative MRI. PLOS One, 13(4).

Martin, A. R., De Leener, B., Cohen-Adad, J., Cadotte, D. W., Nouri, A., Wilson, J. R., ... Fehlings, M. G. (2018). Can microstructural MRI detect subclinical tissue injury in subjects with asymptomatic cervical spinal cord compression? A prospective cohort study. BMJ Open, 8(4).

De Leener, B. (2017). Development of an MRI Template and Analysis Pipeline for the Spinal Cord and Application in Patients with Spinal Cord Injury. (PhD thesis, École Polytechnique de Montréal).

Craddock, R. C., Margulies, D. S., Bellec, P., Nichols, B. N., Alcauter, S., Barrios, F. A., ... Xu, T. (2016). Brainhack: a collaborative workshop for the open neuroscience community. GigaScience, 5(1), p. 1-8.

Yiannakas, M. C., Mustafa, A. M., De Leener, B., Kearney, H., Tur, C., Altmann, D. R., ... Gandini Wheeler-Kingshott, C. A.M. (2015). Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis. NeuroImage - Clinical, 10.

De Leener, B. (2014). Segmentation automatique de la moelle épinière sur des images de résonance magnétique par propagation de modèles déformables. (Masters thesis, École Polytechnique de Montréal).

This list was generated on Thu Jan 27 01:58:23 2022 EST.