| Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images W Voon, YC Hum, YK Tee, WS Yap, MIM Salim, TS Tan, H Mokayed, ... Scientific reports 12 (1), 19200, 2022 | 35 | 2022 |
| Evaluating the effectiveness of stain normalization techniques in automated grading of invasive ductal carcinoma histopathological images W Voon, YC Hum, YK Tee, WS Yap, H Nisar, H Mokayed, N Gupta, ... Scientific Reports 13 (1), 20518, 2023 | 13 | 2023 |
| Detection of basal stem rot disease using deep learning YH Haw, YC Hum, JH Chuah, W Voon, S Khairunniza-Bejo, NA Husin, ... IEEE Access 11, 49846-49862, 2023 | 8* | 2023 |
| IMAML-IDCG: Optimization-based meta-learning with ImageNet feature reusing for few-shot invasive ductal carcinoma grading W Voon, YC Hum, YK Tee, WS Yap, KW Lai, H Nisar, H Mokayed Expert Systems with Applications 257, 124969, 2024 | 1 | 2024 |
| Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging W Voon, YC Hum, YK Tee, WS Yap, KW Lai, H Nisar, H Mokayed Pattern Recognition 161, 111316, 2025 | | 2025 |
| Predictive Modeling of COVID-19 Readmissions: Insights from Machine Learning and Deep Learning Approaches WK Loo, W Voon, A Suhaimi, CSJ Teh, YK Tee, YC Hum, K Hasikin, ... Diagnostics 14 (14), 1511, 2024 | | 2024 |
| Breast invasive ductal carcinoma detection with histopathological images using deep learning W Voon UTAR, 2022 | | 2022 |
| Application of Model-Agnostic Meta Learning (MAML) in Automated Invasive Ductal Carcinoma Grading YC Hum, W Voon, KW Lai Biomedical Engineering: AI and Technological Innovations, 117, 0 | | |
