Graph-guided frequency-enhanced state space network for 3D spine segmentation from MR images.

Hong L, Zhou Z, Xu W, Wang P, Wei B

DOI: 10.1002/acm2.70481
Published: 2026 Feb
Container: Journal of applied clinical medical physics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/acm2.70481,
  title = {Graph-guided frequency-enhanced state space network for 3D spine segmentation from MR images.},
  author = {Hong L and Zhou Z and Xu W and Wang P and Wei B},
  year = {2026},
  journal = {Journal of applied clinical medical physics},
  doi = {10.1002/acm2.70481},
  url = {https://doi.org/10.1002/acm2.70481}
}

RIS

TY  - JOUR
TI  - Graph-guided frequency-enhanced state space network for 3D spine segmentation from MR images.
AU  - Hong L
AU  - Zhou Z
AU  - Xu W
AU  - Wang P
AU  - Wei B
PY  - 2026
JO  - Journal of applied clinical medical physics
DO  - 10.1002/acm2.70481
UR  - https://doi.org/10.1002/acm2.70481
ER  -

APA

L, H., Z, Z., W, X., P, W., & B, W. (2026). Graph-guided frequency-enhanced state space network for 3D spine segmentation from MR images.. Journal of applied clinical medical physics. https://doi.org/10.1002/acm2.70481

Source records

pubmed · retrieved 2026-11-10T07:23:00.277Z
europe-pmc · retrieved 2026-11-10T07:23:00.300Z