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Retraction

RETRACTED: Sankar et al. Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology. BioMedInformatics 2024, 4, 1059–1070

1
School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia
2
Department of Computer Engineering, Chulalongkorn University, Bangkok 10330, Thailand
*
Author to whom correspondence should be addressed.
BioMedInformatics 2024, 4(3), 1901; https://doi.org/10.3390/biomedinformatics4030104
Submission received: 16 July 2024 / Accepted: 24 July 2024 / Published: 12 August 2024
The journal retracts the article, “Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology” [1], cited above.
Following publication, concerns were brought to the attention of the Editorial Office regarding an overlap between this article [1] and a previously published pre-print [2] produced by a different authorship group [2].
Adhering to our complaints procedure, an investigation was conducted by the Editorial Office and the Editorial Board that confirmed a significant overlap of methodology, data and a figure (Figure 6) between this article [1] and the earlier pre-print [2], without appropriate acknowledgment or citation.
As a result, the Editorial Office, the Editorial Board and the authors have decided to retract this paper as per MDPI’s retraction policy (https://www.mdpi.com/ethics#_bookmark30, accessed on 7 May 2024).
This retraction was approved by the Editor-in-Chief of BioMedInformatics.
The authors did not agree to this retraction.

References

  1. Sankar, A.; Chaturvedi, K.; Nayan, A.-A.; Hesamian, M.H.; Braytee, A.; Prasad, M. RETRACTED: Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology. BioMedInformatics 2024, 4, 1059–1070. [Google Scholar] [CrossRef]
  2. Zein, H.; Chantaf, S.; Fournier, R.; Nait-Ali, A. Generative Adversarial Networks for anonymous Acneic face dataset generation. arXiv 2022, arXiv:2211.04214. [Google Scholar] [CrossRef]
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Share and Cite

MDPI and ACS Style

Sankar, A.; Chaturvedi, K.; Nayan, A.-A.; Hesamian, M.H.; Braytee, A.; Prasad, M. RETRACTED: Sankar et al. Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology. BioMedInformatics 2024, 4, 1059–1070. BioMedInformatics 2024, 4, 1901. https://doi.org/10.3390/biomedinformatics4030104

AMA Style

Sankar A, Chaturvedi K, Nayan A-A, Hesamian MH, Braytee A, Prasad M. RETRACTED: Sankar et al. Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology. BioMedInformatics 2024, 4, 1059–1070. BioMedInformatics. 2024; 4(3):1901. https://doi.org/10.3390/biomedinformatics4030104

Chicago/Turabian Style

Sankar, Aravinthan, Kunal Chaturvedi, Al-Akhir Nayan, Mohammad Hesam Hesamian, Ali Braytee, and Mukesh Prasad. 2024. "RETRACTED: Sankar et al. Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology. BioMedInformatics 2024, 4, 1059–1070" BioMedInformatics 4, no. 3: 1901. https://doi.org/10.3390/biomedinformatics4030104

APA Style

Sankar, A., Chaturvedi, K., Nayan, A. -A., Hesamian, M. H., Braytee, A., & Prasad, M. (2024). RETRACTED: Sankar et al. Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology. BioMedInformatics 2024, 4, 1059–1070. BioMedInformatics, 4(3), 1901. https://doi.org/10.3390/biomedinformatics4030104

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