A standardized and efficient intensity-based image registration framework for quantitative cranial base superimposition

Fengcong Wang, Yang Lyu

Open source

DOI: 10.1186/s12938-026-01583-w
Published: 2026-05-12
Container: BioMedical Engineering OnLine
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s12938-026-01583-w,
  title = {A standardized and efficient intensity-based image registration framework for quantitative cranial base superimposition},
  author = {Fengcong Wang and Yang Lyu},
  year = {2026},
  journal = {BioMedical Engineering OnLine},
  doi = {10.1186/s12938-026-01583-w},
  url = {https://doi.org/10.1186/s12938-026-01583-w}
}

RIS

TY  - JOUR
TI  - A standardized and efficient intensity-based image registration framework for quantitative cranial base superimposition
AU  - Fengcong Wang
AU  - Yang Lyu
PY  - 2026
JO  - BioMedical Engineering OnLine
DO  - 10.1186/s12938-026-01583-w
UR  - https://doi.org/10.1186/s12938-026-01583-w
ER  -

APA

Wang, F., & Lyu, Y. (2026). A standardized and efficient intensity-based image registration framework for quantitative cranial base superimposition. BioMedical Engineering OnLine. https://doi.org/10.1186/s12938-026-01583-w

Source records

crossref · retrieved 2026-09-26T00:16:05.430Z