A Shape and Size-Scaled Deep Learning Brain Injury Model for Near Real-Time Dynamic Impact Simulation.

Zhao W, Ji S

DOI: 10.1115/1.4070192
Published: 2026 Feb 1
Container: Journal of biomechanical engineering
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1115/1.4070192,
  title = {A Shape and Size-Scaled Deep Learning Brain Injury Model for Near Real-Time Dynamic Impact Simulation.},
  author = {Zhao W and Ji S},
  year = {2026},
  journal = {Journal of biomechanical engineering},
  doi = {10.1115/1.4070192},
  url = {https://doi.org/10.1115/1.4070192}
}

RIS

TY  - JOUR
TI  - A Shape and Size-Scaled Deep Learning Brain Injury Model for Near Real-Time Dynamic Impact Simulation.
AU  - Zhao W
AU  - Ji S
PY  - 2026
JO  - Journal of biomechanical engineering
DO  - 10.1115/1.4070192
UR  - https://doi.org/10.1115/1.4070192
ER  -

APA

W, Z., & S, J. (2026). A Shape and Size-Scaled Deep Learning Brain Injury Model for Near Real-Time Dynamic Impact Simulation.. Journal of biomechanical engineering. https://doi.org/10.1115/1.4070192

Source records

pubmed · retrieved 2026-09-25T05:14:55.411Z