Front. Med. Frontiers in Medicine Front. Med. 2296-858X Frontiers Media S.A. 10.3389/fmed.2026.1803906 Correction Correction: Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity Arockia Selvarathinam Anto Lourdu Xavier Raj 1 Anbalagan Naveenkumar 2 Srinivasu Parvathaneni Naga 3 Choi Jaeyoung 4 * Ijaz Muhammad Fazal 5 * Department of Data Science and Analytics, College of Computing, Grand Valley State University, Allendale, MI, United States Department of Information Technology, Sona College of Technology, Salem, Tamil Nadu, India Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh, India School of Computing, Gachon University, Seongnam-si, Republic of Korea Centre for Artificial Intelligence Research and Optimization (AIRO), Design and Creative Technology, Torrens University Australia, Melbourne, VIC, Australia Correspondence: Jaeyoung Choi, jychoi19@gachon.ac.kr; Muhammad Fazal Ijaz, muhammadfazal.ijaz@torrens.edu.au 23 02 2026 2026 13 1803906 04 02 2026 06 02 2026 Copyright © 2026 Arockia Selvarathinam, Anbalagan, Srinivasu, Choi and Ijaz. 2026 Arockia Selvarathinam, Anbalagan, Srinivasu, Choi and Ijaz https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. A Correction on Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity by Arockia Selvarathinam, A. L. X. R., Anbalagan, N., Srinivasu, P. N., Choi, J., and Ijaz, M. F. (2026). Front. Med 12:1731370. doi: 10.3389/fmed.2025.1731370 conditional GAN generative adversarial networks medical image synthesis mustGAN parameter optimization StyleGAN2 synthetic MRI generation section-at-acceptance Pathology

The Data Availability statement was erroneously given as “Publicly available datasets were analyzed in this study. This data can be found here: The dataset used in this study is publicly available from this link: https://arxiv.org/abs/2206.03671.” The correct Data Availability statement is “Publicly available datasets were analyzed in this study. The data used in this study were obtained from the NYU fastMRI Initiative database (https://fastmri.med.nyu.edu/). Access to the dataset is subject to the NYU fastMRI Data Sharing Agreement.”

The original version of this article has been updated.

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