Author:
Wang Zihao,Vandersteen Clair,Demarcy Thomas,Gnansia Dan,Raffaelli Charles,Guevara Nicolas,Delingette Hervé
Publisher
Springer International Publishing
Reference11 articles.
1. Demarcy, T., et al.: Automated analysis of human cochlea shape variability from segmented
$$\mu $$
μ
CT images. Comput. Med. Imaging Graph. 59, 1–12 (2017)
2. Gjesteby, L., et al.: Deep neural network for CT metal artifact reduction with a perceptual loss function. In: The fifth international conference on Image Formation in X-ray Computed Tomography, Salt Lake city, pp. 439–443, May 2018
3. Huang, X., Wang, J., Tang, F., Zhong, T., Zhang, Y.: Metal artifact reduction on cervical CT images by deep residual learning. BioMed. Eng. OnLine 17, 175 (2018)
4. Kalender, W.A., Hebel, R., Ebersberger, J.: Reduction of CT artifacts caused by metallic implants. Radiology 164(2), 576–577 (1987)
5. Land, E.H., McCann, J.J.: Lightness and retinex theory. J. Opt. Soc. Am. 61(1), 1–11 (1971)
Cited by
16 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