Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation-Reference-Cited by-同舟云学术

Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation

Published:2023 Issue: Volume: Page:53-63
ISSN:0302-9743
Container-title:Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
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Author:

Adams Jadie,Elhabian Shireen Y.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-44336-7_6

Reference36 articles.

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3. Blei, D.M., Kucukelbir, A., McAuliffe, J.D.: Variational inference: a review for statisticians. J. Am. Stat. Assoc. 112(518), 859–877 (2017). https://doi.org/10.1080/01621459.2017.1285773

4. Blundell, C., Cornebise, J., Kavukcuoglu, K., Wierstra, D.: Weight uncertainty in neural network. In: International Conference on Machine Learning, pp. 1613–1622. PMLR (2015)

5. Chen, T., Fox, E., Guestrin, C.: Stochastic gradient Hamiltonian Monte Carlo. In: International Conference on Machine Learning, pp. 1683–1691. PMLR (2014)

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