The following publications are possibly variants of this publication:
- Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical InstrumentsZhen-Liang Ni, Gui-bin Bian, Zeng-Guang Hou, Xiao-Hu Zhou, Xiao-Liang Xie, Zhen Li. icra 2020: 9939-9945 [doi]
- RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical InstrumentsZhen-Liang Ni, Gui-bin Bian, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Chen Wang, Yan-Jie Zhou, Rui-Qi Li, Zhen Li. iconip 2019: 139-149 [doi]
- Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical InstrumentsZhen-Liang Ni, Gui-bin Bian, Guan'an Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Hua-Bin Chen, Xiao-Liang Xie. AAAI 2020: 11782-11790 [doi]
- Branch Aggregation Attention Network for Robotic Surgical Instrument SegmentationWenting Shen, Yaonan Wang 0001, Min Liu 0008, Jiazheng Wang, Renjie Ding, Zhe Zhang 0022, Erik Meijering. tmi, 42(11):3408-3419, November 2023. [doi]
- BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument SegmentationZhen-Liang Ni, Gui-bin Bian, Guan'an Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yu-Han Wang. IJCAI 2020: 832-838 [doi]
- A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural NetworkLingtao Yu, Pengcheng Wang, Xiaoyan Yu, Yusheng Yan, Yongqiang Xia. jdi, 33(2):341-347, 2020. [doi]