Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments. - Kuancheng Wang; Hai Siong Tan; Rafe McBeth (CoRR, 2023)

Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation. - Hai Siong Tan; Kuancheng Wang; Rafe McBeth (Comput. Biol. Medicine, 2024)

Deep evidential learning for radiotherapy dose prediction. - Hai Siong Tan; Kuancheng Wang; Rafe McBeth (Comput. Biol. Medicine, 2024)

Deep Evidential Learning for Dose Prediction. - Hai Siong Tan; Kuancheng Wang; Rafe McBeth (CoRR, 2024)

Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation. - Hai Siong Tan; Kuancheng Wang; Rafe McBeth (CoRR, 2024)

Evidential Physics-Informed Neural Networks. - Hai Siong Tan; Kuancheng Wang; Rafe McBeth (CoRR, 2025)