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.
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.
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.
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.
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.
Medical Imaging
Synthetic Data Generation
Generative Adversarial Networks (GANs)
Brain-Computer Interfaces (BCI)
EEG & Motor Imagery Classification
Deep Learning for Healthcare
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
