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2020 – today
- 2024
[j4]Pauline Shan Qing Yeoh
, Li Bing, Siew-Li Goh, Khairunnisa Hasikin, Xiang Wu, Yan Chai Hum, Yee-Kai Tee, Khin Wee Lai:
An Efficient Neural Network for Segmenting Multiple Joint Tissues From Knee MRI With Hyperparameter Optimization: Data From the Osteoarthritis Initiative. IEEE Access 12: 123757-123770 (2024)- [j3]Shuang Yee Chin, Jian Dong, Khairunnisa Hasikin, Romano Ngui, Khin Wee Lai, Pauline Shan Qing Yeoh, Xiang Wu:
Bacterial image analysis using multi-task deep learning approaches for clinical microscopy. PeerJ Comput. Sci. 10: e2180 (2024) - 2023
- [j2]Pauline Shan Qing Yeoh, Siew-Li Goh, Khairunnisa Hasikin, Xiang Wu, Khin Wee Lai:
3D Efficient Multi-Task Neural Network for Knee Osteoarthritis Diagnosis Using MRI Scans: Data From the Osteoarthritis Initiative. IEEE Access 11: 135323-135333 (2023) - [c1]Khin Wee Lai, Pauline Shan Qing Yeoh, Siew-Li Goh, Khairunnisa Hasikin, Xiang Wu:
Knee Osteoarthritis Diagnostic System Based on 3D Multi-task Convolutional Neural Network: Data from the Osteoarthritis Initiative. ACPR (3) 2023: 41-51 - 2021
- [j1]Pauline Shan Qing Yeoh, Khin Wee Lai, Siew-Li Goh, Khairunnisa Hasikin, Yan Chai Hum, Yee-Kai Tee, Samiappan Dhanalakshmi:
Emergence of Deep Learning in Knee Osteoarthritis Diagnosis. Comput. Intell. Neurosci. 2021: 4931437:1-4931437:20 (2021)
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