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"Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty ..."

Zach Eaton-Rosen et al. (2018)

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DOI: 10.1007/978-3-030-00928-1_78

access: closed

type: Conference or Workshop Paper

metadata version: 2022-06-23

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  - conf/miccai/Eaton-RosenBBOC18
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  - https://dblp.org/rec/conf/miccai/Eaton-RosenBBOC18
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. MICCAI (1) 2018: 691-699

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