Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment.

Zerouali M, Parpaleix A, Benbakoura M, Rigault C, Champsaur P, Guenoun D

Open source

DOI
10.1016/j.diii.2023.03.003
Published
2023 Jul-Aug
Container
Diagnostic and interventional imaging
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.diii.2023.03.003,
  title = {Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment.},
  author = {Zerouali M and Parpaleix A and Benbakoura M and Rigault C and Champsaur P and Guenoun D},
  year = {2023},
  journal = {Diagnostic and interventional imaging},
  doi = {10.1016/j.diii.2023.03.003},
  url = {https://doi.org/10.1016/j.diii.2023.03.003}
}

RIS

TY  - JOUR
TI  - Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment.
AU  - Zerouali M
AU  - Parpaleix A
AU  - Benbakoura M
AU  - Rigault C
AU  - Champsaur P
AU  - Guenoun D
PY  - 2023
JO  - Diagnostic and interventional imaging
DO  - 10.1016/j.diii.2023.03.003
UR  - https://doi.org/10.1016/j.diii.2023.03.003
ER  - 

APA

M, Z., A, P., M, B., C, R., P, C., & D, G. (2023). Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment.. Diagnostic and interventional imaging. https://doi.org/10.1016/j.diii.2023.03.003

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