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20192025
most citedA comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks

3 citations · 4 across the 3 of their papers we have counts for

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eess.IV2024

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

Hai Siong Tan, Kuancheng Wang, Rafe Mcbeth

In this work, we examine the effectiveness of an uncertainty quantification framework known as Evidential Deep Learning applied in the context of biomedical image segmentation. Thi…