3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology
- DOI
- 10.1038/s41746-025-01469-6
- Published
- 2025-02-02
- Container
- npj Digital Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41746-025-01469-6,
title = {3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology},
author = {Isaac Y. Tian and Jason Liu and Michael C. Wong and Nisa N. Kelly and Yong E. Liu and Andrea K. Garber and Steven B. Heymsfield and Brian Curless and John A. Shepherd},
year = {2025},
journal = {npj Digital Medicine},
doi = {10.1038/s41746-025-01469-6},
url = {https://doi.org/10.1038/s41746-025-01469-6}
}RIS
TY - JOUR TI - 3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology AU - Isaac Y. Tian AU - Jason Liu AU - Michael C. Wong AU - Nisa N. Kelly AU - Yong E. Liu AU - Andrea K. Garber AU - Steven B. Heymsfield AU - Brian Curless AU - John A. Shepherd PY - 2025 JO - npj Digital Medicine DO - 10.1038/s41746-025-01469-6 UR - https://doi.org/10.1038/s41746-025-01469-6 ER -
APA
Tian, I. Y., Liu, J., Wong, M. C., Kelly, N. N., Liu, Y. E., Garber, A. K., Heymsfield, S. B., Curless, B., & Shepherd, J. A. (2025). 3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology. npj Digital Medicine. https://doi.org/10.1038/s41746-025-01469-6
Source records
- crossref · retrieved 2026-09-25T15:24:41.921Z