Deep learning-based classification of cortical and subcortical ischemic stroke infarction using fNIRS signals.

Xu B, Xu H, Liu H, Chen Y

DOI: 10.1080/10255842.2026.2736283
Published: 2026 Sep 23
Container: Computer methods in biomechanics and biomedical engineering
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1080/10255842.2026.2736283,
  title = {Deep learning-based classification of cortical and subcortical ischemic stroke infarction using fNIRS signals.},
  author = {Xu B and Xu H and Liu H and Chen Y},
  year = {2026},
  journal = {Computer methods in biomechanics and biomedical engineering},
  doi = {10.1080/10255842.2026.2736283},
  url = {https://doi.org/10.1080/10255842.2026.2736283}
}

RIS

TY  - JOUR
TI  - Deep learning-based classification of cortical and subcortical ischemic stroke infarction using fNIRS signals.
AU  - Xu B
AU  - Xu H
AU  - Liu H
AU  - Chen Y
PY  - 2026
JO  - Computer methods in biomechanics and biomedical engineering
DO  - 10.1080/10255842.2026.2736283
UR  - https://doi.org/10.1080/10255842.2026.2736283
ER  -

APA

B, X., H, X., H, L., & Y, C. (2026). Deep learning-based classification of cortical and subcortical ischemic stroke infarction using fNIRS signals.. Computer methods in biomechanics and biomedical engineering. https://doi.org/10.1080/10255842.2026.2736283

Source records

pubmed · retrieved 2026-09-25T14:45:16.966Z
europe-pmc · retrieved 2026-09-25T14:45:16.977Z