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ORCIDSegTHOR@ISBI 2019: Venice, Italy
- Caroline Petitjean, Su Ruan, Zoé Lambert, Bernard Dubray:
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019. CEUR Workshop Proceedings 2349, CEUR-WS.org 2019 - Miaofei Han, Guang Yao, Wenhai Zhang, Guangrui Mu, Yiqiang Zhan, Xiang Zhou, Yaozong Gao:
Segmentation of CT Thoracic Organs by Multi-resolution VB-nets. - Tao He, Jixiang Guo, Jianyong Wang, Xiuyuan Xu, Zhang Yi:
Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images. - Sekeun Kim, Yeonggul Jang, Kyunghoon Han, Hackjoon Shim, Hyuk-Jae Chang:
A Cascaded Two-step Approach For Segmentation of Thoracic Organs. - Pan Chen, Chenghai Xu, Xiaoying Li, Yingying Ma, Fenglong Sun:
Two-stage Network for OAR segmentation. - Li Zhang, Lishen Wang, Yijie Huang, Huai Chen:
Segmentation of Thoracic Organs at Risk in CT Images Combining Coarse and Fine Network. - Manoj Satya Kumar Gali, Neerja Garg, Srikanth Vasamsetti:
Dilated U-Net based Segmentation of Organs at Risk in Thoracic CT Images. - Qin Wang, Weibing Zhao, Chunhui Zhang, Liyue Zhang, Changmiao Wang, Zhen Li, Shuguang Cui, Guanbin Li:
3D Enhanced Multi-scale Network for Thoracic Organs Segmentation. - Vladimir Kondratenko, Dmitry Denisenko, Artem Pimkin, Mikhail Belyaev:
Segthor: Segmentation of Thoracic Organs at Risk in CT Images. - Dmitry A. Lachinov:
Segmentation of Thoracic Organs Using Pixel Shuffle. - Ming Feng, Weiquan Huang, Yin Wang, Yuxia Xie:
Multi-organ Segmentation using Simplified Dense V-net with Post-processing. - Louis D. van Harten, Julia M. H. Noothout, Joost J. C. Verhoeff, Jelmer M. Wolterink, Ivana Isgum:
Automatic Segmentation of Organs at Risk in Thoracic CT scans by Combining 2D and 3D Convolutional Neural Networks. - Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT.
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