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Voon, Wingates and Hum, Yan Chai and Tee, Yee Kai and Yap, Wun-She and Lai, Khin Wee and Nisar, Humaira and Mokayed, Hamam (2025) Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging. Pattern Recognition, 161. p. 111316. ISSN 0031-3203, DOI https://doi.org/10.1016/j.patcog.2024.111316.
Loo, Wei Kit and Voon, Wingates and Suhaimi, Anwar and Teh, Cindy Shuan Ju and Tee, Yee Kai and Hum, Yan Chai and Hasikin, Khairunnisa and Teo, Kareen and Ong, Hang Cheng and Lai, Khin Wee (2024) Predictive Modeling of COVID-19 Readmissions: Insights from Machine Learning and Deep Learning Approaches. Diagnostics, 14 (14). p. 1511. ISSN 2075-4418, DOI https://doi.org/10.3390/diagnostics14141511.
Voon, Wingates and Hum, Yan Chai and Tee, Yee Kai and Yap, Wun-She and Lai, Khin Wee and Nisar, Humaira and Mokayed, Hamam (2024) IMAML-IDCG: Optimization-based meta-learning with ImageNet feature reusing for few-shot invasive ductal carcinoma grading. Expert Systems with Applications, 257. p. 124969. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2024.124969.
Voon, Wingates and Hum, Yan Chai and Tee, Yee Kai and Yap, Wun-She and Salim, Maheza Irna Mohamad and Tan, Tian Swee and Mokayed, Hamam and Lai, Khin Wee (2022) Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images. Scientific Reports, 12 (1). ISSN 2045-2322, DOI https://doi.org/10.1038/s41598-022-21848-3.
