Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study.
- DOI
- 10.1002/acn3.70569
- Published
- 2026 Nov 5
- Container
- Annals of clinical and translational neurology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/acn3.70569,
title = {Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study.},
author = {Pfyffer D and Valošek J and Farner L and Karthik EN and David G and Weidner N and Abel R and Maier D and Curt A and Hund-Georgiadis M and Aach M and Baumberger M and Cohen-Adad J and Freund P and Nogo Inhibition in Spinal Cord Injury Study Group},
year = {2026},
journal = {Annals of clinical and translational neurology},
doi = {10.1002/acn3.70569},
url = {https://doi.org/10.1002/acn3.70569}
}RIS
TY - JOUR TI - Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study. AU - Pfyffer D AU - Valošek J AU - Farner L AU - Karthik EN AU - David G AU - Weidner N AU - Abel R AU - Maier D AU - Curt A AU - Hund-Georgiadis M AU - Aach M AU - Baumberger M AU - Cohen-Adad J AU - Freund P AU - Nogo Inhibition in Spinal Cord Injury Study Group PY - 2026 JO - Annals of clinical and translational neurology DO - 10.1002/acn3.70569 UR - https://doi.org/10.1002/acn3.70569 ER -
APA
D, P., J, V., L, F., EN, K., G, D., N, W., R, A., D, M., A, C., M, H., M, A., M, B., J, C., P, F., & Group, N. I. I. S. C. I. S. (2026). Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study.. Annals of clinical and translational neurology. https://doi.org/10.1002/acn3.70569
Source records
- pubmed · retrieved 2026-11-10T07:52:28.005Z