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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Al-Shawwa, A., Ost, K., Anderson, D., Cho, N., Evaniew, N., Jacobs, W. B., Martin, A. R., Gaekwad, R., Tripathy, S., Bouchard, J., Casha, S., Cho, R., duPlessis, S., Lewkonia, P., Nicholls, F., Salo, P. T., Soroceanu, A., Swamy, G., Thomas, K. C., ... Cadotte, D. W. (2024). Advanced MRI metrics improve the prediction of baseline disease severity for individuals with degenerative cervical myelopathy. The Spine Journal, 10 pages. External link
Cohen-Adad, J., Martin, A. R., & Fehlings, M. G. (2015). Magnetic resonance imaging of the injured spinal cord: the present and the future. In Vialle, L. R., Riew, K. D., & Ito, M. (eds.), AOSpine Masters Series (pp. 39-56). External link
David, G., Mohammadi, S., Martin, A. R., Cohen-Adad, J., Weiskopf, N., Thompson, A., & Freund, P. (2019). Traumatic and nontraumatic spinal cord injury: pathological insights from neuroimaging. Nature Reviews Neurology, 15(12), 718-731. External link
Gros, C., De Leener, B., Badji, A., Maranzano, J., Eden, D., Dupont, S. M., Talbott, J., Zhuoquiong, R., Liu, Y., Granberg, T., Ouellette, R., Tachibana, Y., Hori, M., Kamiya, K., Chougar, L., Stawiarz, L., Hillert, J., Bannier, É., Kerbrat, A., ... Cohen-Adad, J. (2019). Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. NeuroImage, 184, 901-915. External link
Gros, C., De Leener, B., Dupont, S. M., Martin, A. R., Fehlings, M. G., Bakshi, R., Tummala, S., Auclair, V., McLaren, D. G., Callot, V., Cohen-Adad, J., & Sdika, M. (2018). Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. Medical Image Analysis, 44, 215-227. External link
Gros, C., De Leener, B., Dupont, S. M., Martin, A. R., Fehlings, M. G., Bakshi, R., Tummala, S., Auclair, V., McLaren, D. G., Callot, V., Sdika, M., & Cohen-Adad, J. (2017, September). OptiC: Robust and automatic spinal cord localization on a large variety of MRI data using a distance transform based global optimization [Paper]. 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017), Québec City, QC, Canada. External link
Labounek, R., Bondy, M. T., Paulson, A. L., Bédard, S., Abramovic, M., Alonso Ortiz, E., Atcheson, N. T., Barlow, L. R., Barry, R. L., Barth, M., Battiston, M., Büchel, C., Budde, M. D., Callot, V., Combes, A., De Leener, B., Descoteaux, M., Loureiro de Sousa, P., Dostál, M., ... Nestrašil, I. (2024). Body size interacts with the structure of the central nervous system: A multi-center in vivo neuroimaging study. bioRxiv, 32 pages. Available
Martin, A. R., De Leener, B., Cohen-Adad, J., Kalsi-Ryan, S., Cadotte, D. W., Wilson, J. R., Tétreault, 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., Tétreault, 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
Martin, A. R., De Leener, B., Cohen-Adad, J., Cadotte, D. W., Wilson, J. R., Tétreault, L., Lange, S. F., Nouri, A., Crawley, A., Mikulis, D. J., Ginsberg, H., & Fehlings, M. G. (2017, April). Multi-Parametric Cervical Spinal Cord MRI Provides An Accurate Diagnostic Tool for Detecting Clinical Myelopathy [Presentation]. In ISMR 25th annual meeting and Exhibition, Honolulu, HI, USA. External link
Martin, A. R., De Leener, B., Cohen-Adad, J., Cadotte, D. W., Wilson, J. R., Tétreault, L., Nouri, A., Crawley, A., Mikulis, D. J., Ginsberg, H., & Fehlings, M. G. (2017, April). Multi-parametric spinal cord MRI detects subclinical tissue injury in asymptomatic cervical spinal cord compression [Poster]. ISMRM 25th annual meeting & Exhibition, Honolulu, Hawai. External link
Martin, A. R., De Leener, B., Cohen-Adad, J., Cadotte, D. W., Kalsi-Ryan, S., Wilson, J. R., Tétreault, L., Nouri, A., Crawley, A., Mikulis, D. J., Ginsberg, H., & Fehlings, M. G. (2017, April). Toward clinical translation of quantitative spinal cord MRI : serial monitoring to identify disease progression in patients with degenerative cervical myelophaty [Paper]. ISMRM 25th annual meeting & Exhibition, Honolulu, Hawai. External link
Martin, A. R., De Leener, B., Cohen-Adad, J., Aleksanderek, I., Cadotte, D. W., & Fehlings, M. G. (2016, October). A clinically feasible quantitative MRI protocol to assess tissue injury in the cervical spinal cord using DTI, MT, and T2*-weighted imaging : reliability and variations with confounding variables [Paper]. 31st NASS annual meeting, Boston, Massachusetts. External link
Martin, A. R., De Leener, B., Cohen-Adad, J., Aleksanderek, I., Cadotte, D. W., Kalsi-Ryan, S., Tétreault, L., Crawley, A., Ginsberg, H. J., & Fehlings, M. G. (2016). Microstructural MRI Quantifies Tract-Specific Injury and Correlates With Global Disability and Focal Neurological Deficits in Degenerative Cervical Myelopathy. Neurosurgery, 63(CN_suppl_1), 165-165. External link
Martin, A. R., De Leener, B., Aleksanderek, I., Cohen-Adad, J., Cadotte, D. W., Kalsi-Ryan, S., Tétreault, L., Crawley, A. P., Ginsberg, H., Mikulis, D., & Fehlings, M. G. (2016, May). A Prospective Longitudinal Study in Degenerative Cervical Myelopathy Using Quantitative Microstructural MRI with Tract-Specific Metrics [Poster]. 24th Annual Meeting of ISMRM, Singapore. External link
Martin, A. R., Aleksanderek, I., Cohen-Adad, J., Tarmohamed, Z., Tétreault, L., Smith, N., Cadotte, D. W., Crawley, A., Ginsberg, H., Milukis, D. J., & Fehlings, M. G. (2016, May). Translating state-of-art spinal cord MRI techniques to clinical use : a systematic review of clinical studies utilizing DTI, MT, MWF, MRS and fMRI [Presentation]. In ISMR 24th annual meeting and Exhibition, Singapore. External link
Martin, A. R., Aleksanderek, I., Cohen-Adad, J., Cadotte, D. W., Kalsi-Ryan, S., Nugaeva, N., De Leener, B., Mikulis, D. J., Crawley, A. P., Ginsberg, H., & Fehlings, M. G. (2015, March). Next-generation MRI of the human spinal cord : quantitative imaging biomarkers for cervical spondylotic myelopathy (CSM) [Paper]. 13th Imaging Network Ontario Symposium (IMNO 2015), London, Ontario. Unavailable
Martin, A. R., Aleksanderek, I., Cohen-Adad, J., Tarmohamed, Z., Tétreault, 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, 192-238. Available
