Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study
- DOI
- 10.1186/s12882-026-04834-z
- Published
- 2026-03-26
- Container
- BMC Nephrology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12882-026-04834-z,
title = {Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study},
author = {A. G. W. Biersma and B. van Leer and M. H. Renes and J. Pillay and J. Koeze},
year = {2026},
journal = {BMC Nephrology},
doi = {10.1186/s12882-026-04834-z},
url = {https://doi.org/10.1186/s12882-026-04834-z}
}RIS
TY - JOUR TI - Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study AU - A. G. W. Biersma AU - B. van Leer AU - M. H. Renes AU - J. Pillay AU - J. Koeze PY - 2026 JO - BMC Nephrology DO - 10.1186/s12882-026-04834-z UR - https://doi.org/10.1186/s12882-026-04834-z ER -
APA
Biersma, A. G. W., Leer, B. V., Renes, M. H., Pillay, J., & Koeze, J. (2026). Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study. BMC Nephrology. https://doi.org/10.1186/s12882-026-04834-z
Source records
- crossref · retrieved 2026-11-10T12:13:40.940Z