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Retracted: Deep Learning‐Based Networks for Detecting Anomalies in Chest X‐Rays

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.

Retraction Crossref 2 open · 2 total · 0 disputed
DOI
10.1155/2022/7833516
Notice DOI
10.1155/2023/9801414
Event date
2023-06-25
Machine twin
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01Notices on this DOI

02One-hop citing occurrences

Retraction Open
Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift

ref [9] · 2605.00788 · notice #47 · dispute

Raw extraction · bibliography line

Badr, M., Al-Otaibi, S., Alturki, N., & Abir, T. (2022). Deep learning-based networks for detecting anomalies in chest X-rays.BioMed Research International, 2022, 7833516. https:// doi.org/10.1155/2022/7833516. Retraction published 2023,BioMed Research International, 2023, 9801414.https://doi.org/10.1155/2023/9801414
Retraction Open
Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift

ref [9] · 2605.00788 · notice #19 · dispute

Raw extraction · bibliography line

Badr, M., Al-Otaibi, S., Alturki, N., & Abir, T. (2022). Deep learning-based networks for detecting anomalies in chest X-rays.BioMed Research International, 2022, 7833516. https:// doi.org/10.1155/2022/7833516. Retraction published 2023,BioMed Research International, 2023, 9801414.https://doi.org/10.1155/2023/9801414

Status lifecycle on notices: open → disputed → (response attached on the notice page). Repaired counts matter as much as open counts. There is no “safe,” “invalid,” or “resolved” badge.