Uncertainty quantification

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks
Automated medical image segmentation inherently involves a certain degree of uncertainty. One key factor contributing to this …
Qingqiao Hu, Hao Wang, Jing Luo, Yunhao Luo, Zhiheng Zhangg, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze, Jianguo Zhang, Hongwei Bran Li
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Bayeisan One-Encoder-Multiple-Decoder (BOEMD) Network
In this project, we1 proposed a simple yet effective Bayesian Neural Network (BNN) framework, especifically designed for inter-rater uncertainty quantification probelm in medical imaging. We call this framework, Bayesian One-Encoder-Multiple-Decoder (BOEMD) network.
Qingqiao Hu, Hao Wang, Jing Luo, Yunhao Luo, Zhiheng Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze, Jianguo Zhang, Hongwei Bran Li
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