Kuancheng Wang

According to our database, Kuancheng Wang authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Evidential Physics-Informed Neural Networks.

Hai Siong Tan, Kuancheng Wang, Rafe McBeth

CoRR, January, 2025

2024

Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation.

Hai Siong Tan, Kuancheng Wang, Rafe McBeth

CoRR, 2024

Deep Evidential Learning for Dose Prediction.

Hai Siong Tan, Kuancheng Wang, Rafe McBeth

CoRR, 2024

Deep evidential learning for radiotherapy dose prediction.

Hai Siong Tan, Kuancheng Wang, Rafe McBeth

Comput. Biol. Medicine, 2024

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

2023

Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments.

Kuancheng Wang, Hai Siong Tan, Rafe McBeth

CoRR, 2023