no code implementations • 21 Nov 2023 • Ziqi Yu, Botao Zhao, Shengjie Zhang, Xiang Chen, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
To address these issues, we introduce hierarchical granularity discrimination, which exploits various levels of semantic information present in medical images.
no code implementations • 10 Aug 2023 • Xiaolin Bu, Jiaxin Song, Ziqi Yu
We study the fair division problem and the existence of allocations satisfying the fairness criterion envy-freeness up to any item (EFX).
no code implementations • 4 Dec 2022 • Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang
Our results demonstrate that MouseGAN++, as a simultaneous image synthesis and segmentation method, can be used to fuse cross-modality information in an unpaired manner and yield more robust performance in the absence of multimodal data.
2 code implementations • 27 Apr 2020 • Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Yuntao Zhu, Ziwei Nie, Xiaoping Yang
Purpose: Accurate segmentation of lung and infection in COVID-19 CT scans plays an important role in the quantitative management of patients.