Uncertainty quantification integrates methods that measure the confidence of deep learning predictions in medical imaging, addressing both intrinsic data noise and model limitations. In clinical ...
Uncertainty Toolbox is valuable for researchers not only in uncertainty quantification, but also in machine learning and the physical sciences. It is the most popular open-source code repository on ...
Professor Edmund Lam, Dr Ni Chen and their research team from the Department of Electrical and Electronic Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) have ...
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