Reinforcement Active Modeling for Flexible Needle Shape Prediction in Multilayer Tissues.

Ren F, Wang X, Fang Y, Yu N, Han J.

DOI: 10.1109/tnnls.2025.3634329
Published: 2026-05-01
Container: IEEE Trans Neural Netw Learn Syst
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2025.3634329,
  title = {Reinforcement Active Modeling for Flexible Needle Shape Prediction in Multilayer Tissues.},
  author = {Ren F and  Wang X and  Fang Y and  Yu N and  Han J.},
  year = {2026},
  journal = {IEEE Trans Neural Netw Learn Syst},
  doi = {10.1109/tnnls.2025.3634329},
  url = {https://doi.org/10.1109/tnnls.2025.3634329}
}

RIS

TY  - JOUR
TI  - Reinforcement Active Modeling for Flexible Needle Shape Prediction in Multilayer Tissues.
AU  - Ren F
AU  -  Wang X
AU  -  Fang Y
AU  -  Yu N
AU  -  Han J.
PY  - 2026
JO  - IEEE Trans Neural Netw Learn Syst
DO  - 10.1109/tnnls.2025.3634329
UR  - https://doi.org/10.1109/tnnls.2025.3634329
ER  -

APA

F, R., X, W., Y, F., N, Y., & J., H. (2026). Reinforcement Active Modeling for Flexible Needle Shape Prediction in Multilayer Tissues.. IEEE Trans Neural Netw Learn Syst. https://doi.org/10.1109/tnnls.2025.3634329

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europe-pmc · retrieved 2026-09-25T17:49:31.083Z