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Andica, C., Hagiwara, A., Kamagata, K., Yokoyama, K., Shimoji, K., Saito, A., Takenaka, Y., Nakazawa, M., Hori, M., Cohen-Adad, J., Takemura, M. Y., Hattori, N., & Aoki, S. (2019). Gray matter alterations in early and late relapsing-remitting multiple sclerosis evaluated with synthetic quantitative magnetic resonance imaging. Scientific Reports, 9(1), 8147-8156. Available
Cohen-Adad, J., Alonso Ortiz, E., Abramovic, M., Arneitz, C., Atcheson, N., Barlow, L., Barry, R. L., Barth, M., Battiston, M., Büchel, C., Budde, M., Callot, V., Combes, A. J. E., De Leener, B., Descoteaux, M., de Sousa, P. L., Dostál, M., Doyon, J., Dvorak, A., ... Xu, J. (2021). Generic acquisition protocol for quantitative MRI of the spinal cord. Nature Protocols, 16(10), 4611-4632. Available
Cohen-Adad, J., Alonso Ortiz, E., Abramovic, M., Arneitz, C., Atcheson, N., Barlow, L., Barry, R. L., Barth, M., Battiston, M., Büchel, C., Budde, M., Callot, V., Combes, A. J. E., De Leener, B., Descoteaux, M., de Sousa, P. L., Dostál, M., Doyon, J., Dvorak, A., ... Xu, J. (2021). Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers. Scientific Data, 8, 219 (17 pages). Available
Calabrese, E., Adil, S. M., Cofer, G., Perone, C. S., Cohen-Adad, J., Lad, S. P., & Johnson, G. A. (2018). Postmortem diffusion MRI of the entire human spinal cord at microscopic resolution. NeuroImage: Clinical, 18, 963-971. Available
Craddock, R. C., Margulies, D. S., Bellec, P., Nichols, B. N., Alcauter, S., Barrios, F. A., Burnod, Y., Cannistraci, C. J., Cohen-Adad, J., De Leener, B., Dery, S., Downar, J., Dunlop, K., Franco, A. R., Froehlich, C. S., Gerber, A. J., Ghosh, S. S., Grabowski, T. J., Hill, S., ... Xu, T. (2016). Brainhack: a collaborative workshop for the open neuroscience community. GigaScience, 5(1), 1-8. Available
Cadotte, A., Cadotte, D. W., Livne, M., Cohen-Adad, J., Fleet, D., Mikulis, D., & Fehlings, M. G. (2015). Spinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data. PLOS One, 10(10). Available
El Mendili, M.-M., Cohen-Adad, J., Pelegrini-Issac, M., Rossignol, S., Morizot-Koutlidis, R., Marchand-Pauvert, V., Iglesias, C., Sangari, S., Katz, R., Lehericy, S., Benali, H., & Pradat, P.-F. (2014). Multi-Parametric Spinal Cord MRI as Potential Progression Marker in Amyotrophic Lateral Sclerosis. PLOS One, 9(4). Available
Karbasforoushan, H., Cohen-Adad, J., & Dewald, J. P. A. (2019). Brainstem and spinal cord MRI identifies altered sensorimotor pathways post-stroke. Nature Communications, 10(1), 3524 (7 pages). Available
Lemay, A., Gros, C., Zhuo, Z., Zhang, J., Duan, Y., Cohen-Adad, J., & Liu, Y. (2021). Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning. NeuroImage - Clinical, 31, 9 pages. Available
Lee, L. E., Ljungberg, E., Shin, D., Figley, C. R., Vavasour, I. M., Rauscher, A., Cohen-Adad, J., Li, D. K. B., Traboulsee, A. L., MacKay, A. L., Lee, J., & Kolind, S. H. (2018). Inter-vendor reproducibility of myelin water imaging using a 3D gradient and spin echo sequence. Frontiers in Neuroscience, 12, 854 (8 pages). Available
Lopez Rios, N., Pouliot, P., Papoutsis, K., Foias, A., Stikov, N., Lesage, F., Dehaes, M., & Cohen-Adad, J. (2018). Design and construction of an optimized transmit/receive hybrid birdcage resonator to improve full body images of medium-sized animals in 7T scanner. PLOS One, 13(2), e0192035 (14 pages). Available
Lévy, S., Guertin, M.-C., Khatibi, A., Mezer, A., Martinu, K., Chen, J. I., Stikov, N., Rainville, P., & Cohen-Adad, J. (2018). Test-retest reliability of myelin imaging in the human spinal cord: Measurement errors versus region- and aging-induced variations. PLOS One, 13(1), e0189944 (25 pages). Available
Martin, A. R., De Leener, B., Cohen-Adad, J., Kalsi-Ryan, S., Cadotte, D. W., Wilson, J. R., Tetreault, L., Nouri, A., Crawley, A., Mikulis, D. J., Ginsberg, H., Massicotte, E. M., & Fehlings, M. G. (2018). Monitoring for myelopathic progression with multiparametric quantitative MRI. PLOS One, 13(4), e0195733 (17 pages). Available
Martin, A. R., De Leener, B., Cohen-Adad, J., Cadotte, D. W., Nouri, A., Wilson, J. R., Tetreault, L., Crawley, A. P., Mikulis, D. J., Ginsberg, H., & 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), e019809 (11 pages). Available
Mingasson, T., Duval, T., Stikov, N., & Cohen-Adad, J. (2017). AxonPacking: an open-source software to simulate arrangements of axons in white matter. Frontiers in Neuroinformatics, 11, 1-12. Available
Martin, A. R., Aleksanderek, I., Cohen-Adad, J., Tarmohamed, Z., Tetreault, L., Smith, N., Cadotte, D. W., Crawley, A., Ginsberg, H., Mikulis, D. J., & Fehlings, M. G. (2015). Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI. NeuroImage - Clinical, 10. Available
Perone, C. S., Calabrese, E., & Cohen-Adad, J. (2018). Spinal cord gray matter segmentation using deep dilated convolutions. Scientific Reports, 8, 5966 (13 pages). Available
Prados, F., Ashburner, J., Blaiotta, C., Brosch, T., Carballido-Gamio, J., Cardoso, M. J., Conrad, B. N., Datta, E., David, G., De Leener, B., Dupont, S. M., Freund, P., Wheeler-Kingshott, C. A. M. G., Grussu, F., Henry, R., Landman, B. A., Ljungberg, E., Lyttle, B., Ourselin, S., ... Cohen-Adad, J. (2017). Spinal cord grey matter segmentation challenge. NeuroImage, 152, 312-329. Available
Querin, G., El Mendili, M. M., Lenglet, T., Behin, A., Stojkovic, T., Salachas, F., Devos, D., Le Forestier, N., Del Mar Amador, M., Debs, R., Lacomblez, L., Meininger, V., Bruneteau, G., Cohen-Adad, J., Lehericy, S., Laforet, P., Blancho, S., Benali, H., Catala, M., ... Pradat, P. F. (2019). The spinal and cerebral profile of adult spinal-muscular atrophy: A multimodal imaging study. NeuroImage: Clinical, 21, 101618. Available
Shahrampour, S., De Leener, B., Alizadeh, M., Middleton, D., Krisa, L., Flanders, A.E., Faro, S.H., Cohen-Adad, J., & Mohamed, F.B. (2021). Atlas-based quantification of DTI measures in a typically developing pediatric spinal cord. American Journal of Neuroradiology, 42(9), 1727-1734. Available
Seif, M., Gandini Wheeler-Kingshott, C. A. M., Cohen-Adad, J., Flanders, A. E., & Freund, P. (2019). Guidelines for the conduct of clinical trials in spinal cord injury: Neuroimaging biomarkers. Spinal Cord, 57(9), 717-728. Available
Saliani, A., Perraud, B., Duval, T., Stikov, N., Rossignol, S., & Cohen-Adad, J. (2017). Axon and myelin morphology in animal and human spinal cord. Frontiers in Neuroanatomy, 11. Available
Samson, R. S., Lévy, S., Schneider, T., Smith, A. K., Smith, S. A., Cohen-Adad, J., & Wheeler-Kingshott, C. A. M. G. (2016). ZOOM or non-ZOOM? Assessing spinal cord diffusion tensor imaging protocols for multi-centre studies. PLOS One, 11(5), 1-14. Available
Stikov, N., Campbell, J. S. W., Stroh, T., Lavelee, M., Frey, S., Novek, J., Nuara, S., Ho, M.-K., Bedell, B. J., Dougherty, R. F., Leppert, I. R., Boudreau, M., Narayanan, S., Duval, T., Cohen-Adad, J., Picard, P.-A., Gasecka, A., Cote, D., & Pike, G. B. (2015). Quantitative analysis of the myelin g-ratio from electron microscopy images of the macaque corpus callosum. Data Brief, 4, 368-373. Available
Stroman, P.W., Wheeler-Kingshott, C. A. M. G., Bacon, M., Schwab, J.M., Bosma, R., Brooks, J., Cadotte, D., Carlstedt, T., Ciccarelli, O., Cohen-Adad, J., Curt, A., Evangelou, N., Fehlings, M.G., Filippi, M., Kelley, B.J., Kollias, S., Mackay, A., Porro, C.A., Smith, S., ... Tracey, I. (2014). The current state-of-the-art of spinal cord imaging: Methods. NeuroImage, 84, 1070. Available
Ullmann, E., Pelletier Paquette, J. F., Thong, W., & Cohen-Adad, J. (2014). Automatic labeling of vertebral levels using a robust template-based approach. International Journal of Biomedical Imaging, 2014, 719520. Available
Vahdat, S., Lungu, O., Cohen-Adad, J., Marchand-Pauvert, V., Benali, H., & Doyon, J. (2015). Simultaneous Brain–Cervical Cord fMRI Reveals Intrinsic Spinal Cord Plasticity during Motor Sequence Learning. PLOS Biology, 13(6). Available
Yiannakas, M. C., Mustafa, A. M., De Leener, B., Kearney, H., Tur, C., Altmann, D. R., De Angelis, F., Plantone, D., Ciccarelli, O., Miller, D. H., Cohen-Adad, J., & Wheeler-Kingshott, C. A. M. G. (2015). Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis. NeuroImage - Clinical, 10. Available
Zaimi, A., Wabartha, M., Herman, V., Antonsanti, P.-L., Perone, C. S., & Cohen-Adad, J. (2018). AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks. Scientific Reports, 8(1), 3816 (11 pages). Available
Zaimi, A., Duval, T., Gasecka, A., Côté, D., Stikov, N., & Cohen-Adad, J. (2016). AxonSeg: open source software for axon and myelin segmentation and morphometric analysis. Frontiers in Neuroinformatics, 10, 1-13. Available
