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BioMedInformatics
Volume 4
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Retraction of BioMedInformatics 2024, 4(2), 1059-1070.
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Retraction

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

by
Aravinthan Sankar
1,
Kunal Chaturvedi
1,
Al-Akhir Nayan
2,
Mohammad Hesam Hesamian
1,
Ali Braytee
1 and
Mukesh Prasad
1,*
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
Versions Notes
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]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

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

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