Generative tissue modeling for customized biomechanical analysis: a data-driven synthesis framework of simulation-ready 3D shapes.

Ma J, Wang Z, Wu Z, Li J, Lv Z, Cui T, Zhou B, Chen Y, Huang Y, Tang J

Open source

DOI
10.3389/fbioe.2026.1761981
Published
2026
Container
Frontiers in bioengineering and biotechnology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fbioe.2026.1761981,
  title = {Generative tissue modeling for customized biomechanical analysis: a data-driven synthesis framework of simulation-ready 3D shapes.},
  author = {Ma J and Wang Z and Wu Z and Li J and Lv Z and Cui T and Zhou B and Chen Y and Huang Y and Tang J},
  year = {2026},
  journal = {Frontiers in bioengineering and biotechnology},
  doi = {10.3389/fbioe.2026.1761981},
  url = {https://doi.org/10.3389/fbioe.2026.1761981}
}

RIS

TY  - JOUR
TI  - Generative tissue modeling for customized biomechanical analysis: a data-driven synthesis framework of simulation-ready 3D shapes.
AU  - Ma J
AU  - Wang Z
AU  - Wu Z
AU  - Li J
AU  - Lv Z
AU  - Cui T
AU  - Zhou B
AU  - Chen Y
AU  - Huang Y
AU  - Tang J
PY  - 2026
JO  - Frontiers in bioengineering and biotechnology
DO  - 10.3389/fbioe.2026.1761981
UR  - https://doi.org/10.3389/fbioe.2026.1761981
ER  - 

APA

J, M., Z, W., Z, W., J, L., Z, L., T, C., B, Z., Y, C., Y, H., & J, T. (2026). Generative tissue modeling for customized biomechanical analysis: a data-driven synthesis framework of simulation-ready 3D shapes.. Frontiers in bioengineering and biotechnology. https://doi.org/10.3389/fbioe.2026.1761981

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