Integrating uncertainty in deep neural networks for MRI based stroke analysis
Sign Up to like & getrecommendations! Published in 2020 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101790
Abstract: At present, the majority of the proposed Deep Learning (DL) methods provide point predictions without quantifying the model's uncertainty. However, a quantification of the reliability of automated image analysis is essential, in particular in medicine… read more here.
Keywords: image; uncertainty; analysis; integrating uncertainty ... See more keywords
Integrating uncertainty into public energy research and development decisions
Sign Up to like & getrecommendations! Published in 2017 at "Nature Energy"
DOI: 10.1038/nenergy.2017.71
Abstract: Publically funded energy technology research is critical for a successful low–carbon energy transition, but future uncertainty means decision–making is difficult. This Review explores the role of expert elicitations, integrated assessment models and decision frameworks in… read more here.
Keywords: research; energy; public energy; uncertainty public ... See more keywords