A9-1502
toan.buihuy@phenikaa-uni.edu.vn
BUI HUY TOAN
Lecturer
  • Post-doc (AI and Medical Image Processing, Tokai University, Japan, 2023)

  • Ph.D. (AI and Medical Image Processing, Tokai University, Tokyo, Japan, 2022)

  • M.Sc. (Computing in Engineering Systems, King Mongkut’s Institute of Technology Ladkrabang, Thailand, 2018)

  • B.Sc. (Information Technology, Hanoi University of Science and Technology, Vietnam, 2016)

Dr. Bui Huy Toan is a Lecturer at Phenikaa University with an academic focus on AI and medical image processing. He completed his doctoral and postdoctoral training at Tokai University, Japan, with a specialization in deep learning for diagnostic imaging. Dr. Toan has published extensively on dental diagnostics, radiograph analysis, and neural network applications in biomedical contexts.

His teaching and mentorship involve undergraduate research and capstone projects, and he continues to contribute to AI innovation at S-Phenikaa. His multidisciplinary background in image processing, ensemble learning, and medical systems has earned recognition through international publications and conference presentations.

RESEARCH INTERESTS

  • Deep Learning for Medical Imaging

  • Ensemble Models in Diagnostic Systems

SELECTED PUBLICATIONS

  • Intaraprasit, T. H. Bui, and M. P. Paing, “MobileNetV2-based Deep Learning for Retinal Disease Classification on a Mobile Application,” in 15th Biomedical Engineering International Conference, Tokyo, 2023. https://doi.org/10.1109/bmeicon60347.2023.10322079
  • H. Bui, K. Hamamoto, M. P. Paing, and L. K. Bui, “Multi-Disease Classification of COVID-19 in Chest Radiographs using Ensemble of Optimized Deep Learning Models,” in 15th Biomedical Engineering International Conference, Tokyo, 2023. https://doi.org/10.1109/bmeicon60347.2023.10321967
  • P. Paing, A. Sento, T. H. Bui, and C. Pintavirooj, “Instance Segmentation of Multiple Myeloma Cells Using Deep-Wise Data Augmentation and Mask R-CNN,” (in eng), Entropy (Basel), vol. 24, no. 1, Jan 17 2022. https://doi.org/10.3390/e24010134
  • H. Bui, K. Hamamoto, and M. P. Paing, “Tooth Localization using YOLOv3 for Dental Diagnosis on Panoramic Radiographs,” IEEJ Transactions on Electronics, Information and Systems, vol. 142, no. 5, pp. 557-562, 2022. https://doi.org/10.1541/ieejeiss.142.557
  • H. Bui, K. Hamamoto, and M. P. Paing, “Automated Caries Screening Using Ensemble Deep Learning on Panoramic Radiographs,” Entropy, vol. 24, no. 10, p. 1358, 2022. https://doi.org/10.3390/e24101358
  • H. Bui, K. Hamamoto, and M. P. Paing, “Deep Fusion Feature Extraction for Caries Detection on Dental Panoramic Radiographs,” Applied Sciences, vol. 11, no. 5, p. 2005, 2021. https://doi.org/10.3390/app11052005
  • P. Paing, S. Tungjitkusolmun, T. H. Bui, S. Visitsattapongse, and C. Pintavirooj, “Automated Segmentation of Infarct Lesions in T1-Weighted MRI Scans Using Variational Mode Decomposition and Deep Learning,” Sensors, vol. 21, no. 6, p. 1952, 2021. https://doi.org/10.3390/s21061952
  • Bui, N. Maneerat, and U. Watchareeruetai, “Detection of cotton wool for diabetic retinopathy analysis using neural network,” in 2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA), Hiroshima, 2017. https://doi.org/10.1109/iwcia.2017.8203585.

PROFESSIONAL CERTIFICATIONS

  • Microsoft network essential

COURSES TAUGHT

  • EEE703091 – Image Processing