Assessing body composition via a smartphone computer vision application: High repeatability but method-dependent agreement compared with BODPOD and Inbody.
- DOI
- 10.1371/journal.pdig.0000983
- Published
- 2026 Sep
- Container
- PLOS digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pdig.0000983,
title = {Assessing body composition via a smartphone computer vision application: High repeatability but method-dependent agreement compared with BODPOD and Inbody.},
author = {Sisohor J and Ambegaonkar JP and Lindsey B and Wei Q and Shaul Y and Martin J},
year = {2026},
journal = {PLOS digital health},
doi = {10.1371/journal.pdig.0000983},
url = {https://doi.org/10.1371/journal.pdig.0000983}
}RIS
TY - JOUR TI - Assessing body composition via a smartphone computer vision application: High repeatability but method-dependent agreement compared with BODPOD and Inbody. AU - Sisohor J AU - Ambegaonkar JP AU - Lindsey B AU - Wei Q AU - Shaul Y AU - Martin J PY - 2026 JO - PLOS digital health DO - 10.1371/journal.pdig.0000983 UR - https://doi.org/10.1371/journal.pdig.0000983 ER -
APA
J, S., JP, A., B, L., Q, W., Y, S., & J, M. (2026). Assessing body composition via a smartphone computer vision application: High repeatability but method-dependent agreement compared with BODPOD and Inbody.. PLOS digital health. https://doi.org/10.1371/journal.pdig.0000983
Source records
- pubmed · retrieved 2026-09-25T14:33:17.098Z