3D Convolutional Deep Learning for Nonlinear Estimation of Body Composition from Whole-Body Morphology.

Tian I, Liu J, Wong M, Kelly N, Liu Y, Garber A, Heymsfield S, Curless B, Shepherd J

DOI: 10.21203/rs.3.rs-3935042/v1
Published: 2024 Feb 13
Container: Research square
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.21203/rs.3.rs-3935042/v1,
  title = {3D Convolutional Deep Learning for Nonlinear Estimation of Body Composition from Whole-Body Morphology.},
  author = {Tian I and Liu J and Wong M and Kelly N and Liu Y and Garber A and Heymsfield S and Curless B and Shepherd J},
  year = {2024},
  journal = {Research square},
  doi = {10.21203/rs.3.rs-3935042/v1},
  url = {https://doi.org/10.21203/rs.3.rs-3935042/v1}
}

RIS

TY  - JOUR
TI  - 3D Convolutional Deep Learning for Nonlinear Estimation of Body Composition from Whole-Body Morphology.
AU  - Tian I
AU  - Liu J
AU  - Wong M
AU  - Kelly N
AU  - Liu Y
AU  - Garber A
AU  - Heymsfield S
AU  - Curless B
AU  - Shepherd J
PY  - 2024
JO  - Research square
DO  - 10.21203/rs.3.rs-3935042/v1
UR  - https://doi.org/10.21203/rs.3.rs-3935042/v1
ER  -

APA

I, T., J, L., M, W., N, K., Y, L., A, G., S, H., B, C., & J, S. (2024). 3D Convolutional Deep Learning for Nonlinear Estimation of Body Composition from Whole-Body Morphology.. Research square. https://doi.org/10.21203/rs.3.rs-3935042/v1

Source records

pubmed · retrieved 2026-09-27T00:45:28.205Z