Propagation and Attribution of Uncertainty in Medical Imaging Pipelines-Reference-Cited by-同舟云学术

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Published:2023 Issue: Volume: Page:1-11
ISSN:0302-9743
Container-title:Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
language:
Short-container-title:

Author:

Feiner Leonhard F.^ORCID,Menten Martin J.^ORCID,Hammernik Kerstin^ORCID,Hager Paul^ORCID,Huang Wenqi^ORCID,Rueckert Daniel^ORCID,Braren Rickmer F.^ORCID,Kaissis Georgios^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-44336-7_1

Reference33 articles.

1. Abdelaziz, A.H., Watanabe, S., Hershey, J.R., Vincent, E., Kolossa, D.: Uncertainty propagation through deep neural networks. In: Annual Conference of the International Speech Communication Association, pp. 3561–3565 (2015)

2. Astudillo, R.F., Da Silva Neto, J.P.: Propagation of uncertainty through multilayer perceptrons for robust automatic speech recognition. Annual Conference of the International Speech Communication Association pp. 461–464 (2011)

3. Bibi, A., Alfadly, M., Ghanem, B.: Analytic expressions for probabilistic moments of PL-DNN with gaussian input. In: Computer Society Conference on Computer Vision and Pattern Recognition, pp. 9099–9107 (2018)

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

5. Dalca, A.V., Balakrishnan, G., Guttag, J., Sabuncu, M.R.: Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Med. Image Anal. 57, 226–236 (2019)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis;Artificial Intelligence in Medicine;2024-04