Abstract is missing.
- Dilated U-Net based Segmentation of Organs at Risk in Thoracic CT ImagesManoj Satya Kumar Gali, Neerja Garg, Srikanth Vasamsetti. [doi]
- A 2D dilated residual U-Net for multi-organ segmentation in thoracic CTSulaiman Vesal, Nishant Ravikumar, Andreas K. Maier. [doi]
- 3D Enhanced Multi-scale Network for Thoracic Organs SegmentationQin Wang, Weibing Zhao, Chunhui Zhang, Liyue Zhang, Changmiao Wang, Zhen Li, Shuguang Cui, Guanbin Li. [doi]
- Segmentation of Thoracic Organs Using Pixel ShuffleDmitry Lachinov. [doi]
- A Cascaded Two-step Approach For Segmentation of Thoracic OrgansSekeun Kim, Yeonggul Jang, Kyunghoon Han, Hackjoon Shim, Hyuk-Jae Chang. [doi]
- Segthor: Segmentation of Thoracic Organs at Risk in CT ImagesVladimir Kondratenko, Dmitry Denisenko, Artem Pimkin, Mikhail Belyaev. [doi]
- Segmentation of Thoracic Organs at Risk in CT Images Combining Coarse and Fine NetworkLi Zhang, Lishen Wang, Yijie Huang, Huai Chen. [doi]
- Multi-organ Segmentation using Simplified Dense V-net with Post-processingMing Feng, Weiquan Huang, Yin Wang, Yuxia Xie. [doi]
- Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural NetworksLouis van Harten, Julia M. H. Noothout, Joost Verhoeff, Jelmer M. Wolterink, Ivana Isgum. [doi]
- Two-stage Network for OAR segmentationPan Chen, Chenghai Xu, Xiaoying Li, Yingying Ma, Fenglong Sun. [doi]
- Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT imagesTao He, Jixiang Guo, Jianyong Wang, Xiuyuan Xu, Zhang Yi 0001. [doi]
- Segmentation of CT Thoracic Organs by Multi-resolution VB-netsMiaofei Han, Guang Yao, Wenhai Zhang, Guangrui Mu, Yiqiang Zhan, Xiang Zhou, Yaozong Gao. [doi]