Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study

Authors

Bram van Leer (ORCID: https://orcid.org/0000-0002-6597-205X)
Janesh Pillay (ORCID: https://orcid.org/0000-0001-8037-6638)
A. G. W. Biersma
M. H. Renes
J. Koeze

Institutions

University Medical Center Groningen (NL)
University of Groningen (NL)
Dialyse Centrum Groningen (NL)

Publication Details

Journal: BMC Nephrology
Published: 2026-03-26
DOI: https://doi.org/10.1186/s12882-026-04834-z
Primary Topic: Acute Kidney Injury Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study

Bram van Leer, Janesh Pillay, A. G. W. Biersma, M. H. Renes et al.

Mar 26, 2026

BMC Nephrology

Acute Kidney Injury Research

article

Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study

Bram van Leer, Janesh Pillay, A. G. W. Biersma, M. H. Renes, J. Koeze

March 26, 2026article en

Abstract

No abstract available for this paper.

BMC NephrologyVol. 27(1)

University Medical Center Groningen (NL), University of Groningen (NL), Dialyse Centrum Groningen (NL)

Openalex Percentile: Top 5%

Acute Kidney Injury Research

DOI Open Access PDF OpenAlex

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Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study — Bram van Leer, Janesh Pillay, et al. · BMC Nephrology (2026) | TGRS Research Map | TGRS