3D machine learning-based complexity variability and fluidity quantification of preterm and writhing general movements.
- DOI
- 10.1016/j.compbiomed.2026.111815
- Published
- 2026 Aug 15
- Container
- Computers in biology and medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2026.111815,
title = {3D machine learning-based complexity variability and fluidity quantification of preterm and writhing general movements.},
author = {Soualmi A and Alata O and Ducottet C and Patural H and Giraud A},
year = {2026},
journal = {Computers in biology and medicine},
doi = {10.1016/j.compbiomed.2026.111815},
url = {https://doi.org/10.1016/j.compbiomed.2026.111815}
}RIS
TY - JOUR TI - 3D machine learning-based complexity variability and fluidity quantification of preterm and writhing general movements. AU - Soualmi A AU - Alata O AU - Ducottet C AU - Patural H AU - Giraud A PY - 2026 JO - Computers in biology and medicine DO - 10.1016/j.compbiomed.2026.111815 UR - https://doi.org/10.1016/j.compbiomed.2026.111815 ER -
APA
A, S., O, A., C, D., H, P., & A, G. (2026). 3D machine learning-based complexity variability and fluidity quantification of preterm and writhing general movements.. Computers in biology and medicine. https://doi.org/10.1016/j.compbiomed.2026.111815
Source records
- pubmed · retrieved 2026-09-27T09:29:10.814Z