Journal
Annals of Clinical and Translational Neurology
Publication Date
5-1-2022
Volume
9
Issue
5
First Page
684
Last Page
694
Document Type
Open Access Publication
DOI
10.1002/acn3.51549
Rights and Permissions
Zhang, Z., Cisneros, E., Lee, H.Y., Vu, J.P., Chen, Q., Benadof, C.N., Whitehill, J., Rouzbehani, R., Sy, D.T., Huang, J.S., Sejnowski, T.J., Jankovic, J., Factor, S., Goetz, C.G., Barbano, R.L., Perlmutter, J.S., Jinnah, H.A., Berman, B.D., Richardson, S.P., Stebbins, G.T., Comella, C.L. and Peterson, D.A. (2022), Hold that pose: capturing cervical dystonia's head deviation severity from video. Ann Clin Transl Neurol, 9: 684-694. https://doi.org/10.1002/acn3.51549 © 2022 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Recommended Citation
Zhang, Zheng; Perlmutter, Joel S; and et al, "Hold that pose: Capturing cervical dystonia's head deviation severity from video." Annals of Clinical and Translational Neurology. 9, 5. 684 - 694. (2022).
https://digitalcommons.wustl.edu/oa_4/686
Additional Links
Supplemental material is available for this article at publisher site.
