"Towards safe deep learning: accurately quantifying biomarker uncertainty ..."

Zach Eaton-Rosen et al. (2018)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-10-02

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1806-08640
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1806-08640
Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso:
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions. CoRR abs/1806.08640 (2018)

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