Excellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke.

Sakamoto Y, Aoki J, Nishi Y, Shoda S, Sakamoto M, Katano T, Yoshimura J, Ueda S, Shimoyama T, Suda S.

Open source

DOI
10.1016/j.jns.2026.125914
Published
2026-04-12
Container
J Neurol Sci
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.jns.2026.125914,
  title = {Excellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke.},
  author = {Sakamoto Y and  Aoki J and  Nishi Y and  Shoda S and  Sakamoto M and  Katano T and  Yoshimura J and  Ueda S and  Shimoyama T and  Suda S.},
  year = {2026},
  journal = {J Neurol Sci},
  doi = {10.1016/j.jns.2026.125914},
  url = {https://doi.org/10.1016/j.jns.2026.125914}
}

RIS

TY  - JOUR
TI  - Excellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke.
AU  - Sakamoto Y
AU  -  Aoki J
AU  -  Nishi Y
AU  -  Shoda S
AU  -  Sakamoto M
AU  -  Katano T
AU  -  Yoshimura J
AU  -  Ueda S
AU  -  Shimoyama T
AU  -  Suda S.
PY  - 2026
JO  - J Neurol Sci
DO  - 10.1016/j.jns.2026.125914
UR  - https://doi.org/10.1016/j.jns.2026.125914
ER  - 

APA

Y, S., J, A., Y, N., S, S., M, S., T, K., J, Y., S, U., T, S., & S., S. (2026). Excellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke.. J Neurol Sci. https://doi.org/10.1016/j.jns.2026.125914

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