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Arockia Selvarathinam

As seen in: Frontiers
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Articles

Frontiers | Correction: Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity

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By Arockia Selvarathinam, SONA College, Tamil Nadu, Allendale Township
| Frontiers
Correction: Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity Provisionally accepted 1Grand Valley State University, Allendale Township, United States 2Sona College of Technology, Salem, Tamil Nadu, India, Salem, India 3Amrita Vishwa Vidyapeetham Amrita School of Engineering Bengaluru, Bengaluru, India 4Gachon University, Seongnam-si, Republic of Korea 5Torrens University, Melbourne, Australia...
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Parameter-Optimized Generative Adversarial Network Framework for Synthetic MRI Generation: Fine-Tuning Critical Variables for Enhanced Image Fidelity

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By SONA College, Muhammad Fazal, Arockia Selvarathinam, Parvathaneni Naga
| Frontiers
Your new experience awaits. Try the new design now and help us make it even better ORIGINAL RESEARCH article This article is part of the Research TopicArtificial Intelligence-Assisted Medical Imaging Solutions for Integrating Pathology and Radiology Automated Systems - Volume IIIView all articles Frontiers' quality Guardians of scientific integrity Our research integrity and auditing teams lead the rigorous process that protects the quality of the scientific record More about research integrity
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