[1] F. Asadi, T. Angsuwatanakul, and J. A. O'Reilly, "Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional network," IBRO Neuroscience Reports, vol. 16, pp. 57–66, Jun. 2024. doi: 10.1016/j.ibneur.2023.12.002.
[2] F. Asadi, K. Thangthong, and S. Tungjitkusolmun, "Common Spatial Pattern Variants for Feature Extraction in Multi-Class Motor Imagery BCI," in Proc. 2025 17th Biomedical Engineering International Conference (BMEiCON), 2025, pp. 1–5.
[3] F. Asadi and J. A. O'Reilly, "Artificial computed tomography images with progressively growing generative adversarial network," in Proc. 2021 13th Biomedical Engineering International Conference (BMEiCON), 2021, pp. 1–5.
[4] F. Asadi, "Synthetic data for deep learning medical applications: generation, evaluation, and utilization," Ph.D. dissertation, College of Biomedical Engineering, Rangsit University, Pathum Thani, Thailand, 2024.
[5] J. A. O'Reilly and F. Asadi, "Pre-trained vs. random weights for calculating Fréchet inception distance in medical imaging," in Proc. 2021 13th Biomedical Engineering International Conference (BMEiCON), 2021, pp. 1–4. doi: 10.1109/BMEiCON53485.2021.9745214.
2019 - 2024: Doctor of Engineering, Faculty of Biomedical Engineering in Artificial Intelligence, Rangsit University, Thailand
2014 - 2018: Bachelor of Engineering, Faculty of Electrical Engineering, Taibah University, Saudi Arabia
