(Ben) THON Pun Liang
I pursued a Master of Science (Research) at Swinburne University of Technology Sarawak in early 2024,
where I researched on Explainable Artificial Intelligence (XAI) & Deep Learning for Medical Images.
Currently, I work as a Data Scientist / AI Engineer in the Semiconductor Industry.
I obtained my Bachelor of Computer Science (Data Science) degree at the same university in 2021.
plthon [at] outlook [dot] com  / 
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Résumé
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Investigation of ConViT on COVID-19 Lung Image Classification and the Effects of Image Resolution and Number of Attention Heads
Pun Liang Thon,
Joel C. M. Than,
Norliza M. Noor,
Jun Han,
Patrick Then
IJIE, 2023
fullpaper
Convolutional Vision Transformer (ConViT) achieves high accuracy and improved performance in diagnosing
COVID-19 cases from lung CT scan images, offering a valuable complement to RT-PCR tests.
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Explainable COVID-19 Three Classes Severity Classification Using Chest X-Ray Images
Pun Liang Thon,
Joel C. M. Than,
Rosminah M. Kassim,
Ashari Yunus,
Norliza M. Noor,
Patrick Then
IECBES, 2022
fullpaper
This study explores the application of vision transformers for COVID-19 severity classification using
CXR images, achieving an accuracy of 0.862 and utilizing Grad-CAM for interpretability.
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Preliminary Study on Patch Sizes in Vision Transformers (ViT) for COVID-19 and Diseased Lungs Classification
Joel C. M. Than,
Pun Liang Thon,
Omar Mohd Rijal,
Rosminah M. Kassim,
Ashari Yunus,
Norliza M. Noor,
Patrick Then
NBEC, 2021
fullpaper
This study investigates the potential of Vision Transformers (ViT) for classifying COVID-19 and normal
lung images, achieving a promising peak accuracy of 95.36% across diverse datasets and patch sizes.
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