Discovering the Ganoderma Boninense Detection Methods Using Machine Learning: A Review of Manual, Laboratory, and Remote Approaches. - Clarence Augustine Th Tee; Yun Xin Teoh; Lip Yee Por; Boon Chin Tan; Khin Wee Lai (IEEE Access, 2021)

Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (BIBM, 2023)

Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative. - Yun Xin Teoh; Alice Othmani; Khin Wee Lai; Siew-Li Goh; Juliana Usman (Comput. Methods Programs Biomed., 2023)

A Multi-Instance Learning Approach for Improving Knee Osteoarthritis Diagnosis From Mri Data. - Mohamed Berrimi; Yun Xin Teoh; Aladine Chetouani; Lotfi Houam; Rachid Jennane (CBMI, 2024)

Improving Knee Osteoarthritis Detection Through a Multitask Learning Method from 2D MRI Slices. - Yun Xin Teoh; Mohamed Berrimi; Khin Wee Lai; Siew-Li Goh; Rachid Jennane (MICAD, 2024)

Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (IEEE Access, 2024)

Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (CoRR, 2024)