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Yun Xin Teoh
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2020 – today
- 2024
- [j3]Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai:
Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review. IEEE Access 12: 109080-109108 (2024) - [i2]Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai:
Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches. CoRR abs/2403.08761 (2024) - 2023
- [j2]Yun Xin Teoh, Alice Othmani, Khin Wee Lai, Siew-Li Goh, Juliana Usman:
Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative. Comput. Methods Programs Biomed. 242: 107807 (2023) - [c1]Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai:
Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative. BIBM 2023: 4148-4153 - [i1]Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai:
Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review. CoRR abs/2308.09380 (2023) - 2021
- [j1]Clarence Augustine Th Tee, Yun Xin Teoh, Lip Yee Por, Boon Chin Tan, Khin Wee Lai:
Discovering the Ganoderma Boninense Detection Methods Using Machine Learning: A Review of Manual, Laboratory, and Remote Approaches. IEEE Access 9: 105776-105787 (2021)
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last updated on 2024-08-23 19:26 CEST by the dblp team
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