Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference80 articles.
1. A novel strategy to engineer pre-vascularized full-length dental pulp-like tissue constructs;Athirasala;Sci. Rep.,2017
2. CT segmentation of dental shapes by anatomy-driven reformation imaging and B-spline modelling;Barone;Int. J. Numer. Methods Biomed. Eng.,2016
3. Berman, M., Triki, A.R., Blaschko, M.B., 2018. The Lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4413–4421.
4. Automatic segmentation of individual tooth in dental CBCT images from tooth surface map by a multi-task FCN;Chen;IEEE Access,2020
5. A simple framework for contrastive learning of visual representations;Chen,2020
Cited by
7 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