Deep learning-based quantification of epicardial adipose tissue volume from non-contrast computed tomography images: a multi-centre study

Shuang Leng, Nicholas Cheng, Eddy Tan, Lohendran Baskaran, Lynette Teo, Min Sen Yew, Kee Yuan Ngiam, Weimin Huang, Ping Chai, Ching Ching Ong, Ching Hui Sia, Malay Singh, Yan Ting Loong, Nur A S Raffiee, Xiaomeng Wang, John Allen, Swee Yaw Tan, Mark Chan, Hwee Kuan Lee, Liang Zhong

Open source

DOI: 10.1093/ehjdh/ztaf116
Published: 2025-10-13
Container: European Heart Journal - Digital Health
Publisher: Oxford University Press (OUP)
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1093/ehjdh/ztaf116,
  title = {Deep learning-based quantification of epicardial adipose tissue volume from non-contrast computed tomography images: a multi-centre study},
  author = {Shuang Leng and Nicholas Cheng and Eddy Tan and Lohendran Baskaran and Lynette Teo and Min Sen Yew and Kee Yuan Ngiam and Weimin Huang and Ping Chai and Ching Ching Ong and Ching Hui Sia and Malay Singh and Yan Ting Loong and Nur A S Raffiee and Xiaomeng Wang and John Allen and Swee Yaw Tan and Mark Chan and Hwee Kuan Lee and Liang Zhong},
  year = {2025},
  journal = {European Heart Journal - Digital Health},
  doi = {10.1093/ehjdh/ztaf116},
  url = {https://doi.org/10.1093/ehjdh/ztaf116}
}

RIS

TY  - JOUR
TI  - Deep learning-based quantification of epicardial adipose tissue volume from non-contrast computed tomography images: a multi-centre study
AU  - Shuang Leng
AU  - Nicholas Cheng
AU  - Eddy Tan
AU  - Lohendran Baskaran
AU  - Lynette Teo
AU  - Min Sen Yew
AU  - Kee Yuan Ngiam
AU  - Weimin Huang
AU  - Ping Chai
AU  - Ching Ching Ong
AU  - Ching Hui Sia
AU  - Malay Singh
AU  - Yan Ting Loong
AU  - Nur A S Raffiee
AU  - Xiaomeng Wang
AU  - John Allen
AU  - Swee Yaw Tan
AU  - Mark Chan
AU  - Hwee Kuan Lee
AU  - Liang Zhong
PY  - 2025
JO  - European Heart Journal - Digital Health
DO  - 10.1093/ehjdh/ztaf116
UR  - https://doi.org/10.1093/ehjdh/ztaf116
ER  -

APA

Leng, S., Cheng, N., Tan, E., Baskaran, L., Teo, L., Yew, M. S., Ngiam, K. Y., Huang, W., Chai, P., Ong, C. C., Sia, C. H., Singh, M., Loong, Y. T., Raffiee, N. A. S., Wang, X., Allen, J., Tan, S. Y., Chan, M., Lee, H. K., & Zhong, L. (2025). Deep learning-based quantification of epicardial adipose tissue volume from non-contrast computed tomography images: a multi-centre study. European Heart Journal - Digital Health. https://doi.org/10.1093/ehjdh/ztaf116

Source records

crossref · retrieved 2026-09-26T13:33:51.956Z