1. Dayı, B., Üzen, H., Çiçek, İB., Duman, ŞB.: A novel deep learning-based approach for segmentation of different type caries lesions on panoramic radiographs. Diagnostics 13(2), 202 (2023)
2. Dempster, A.P.: A generalization of Bayesian inference. J. Roy. Stat. Soc. Ser. B (Methodol.) 30(2), 205–232 (1968)
3. Jsang, A.: Subjective Logic: A Formalism for Reasoning Under Uncertainty. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-42337-1
4. Kendall, A., Gal, Y.: What uncertainties do we need in Bayesian deep learning for computer vision? In: Advances in Neural Information Processing Systems, vol. 30 (2017)
5. Kohl, S., et al.: A probabilistic u-net for segmentation of ambiguous images. In: Advances in Neural Information Processing Systems, vol. 31 (2018)