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2020 – today
- 2024
[j8]Luyu Tang, Songhui Diao, Chao Li
, Miaoxia He, Kun Ru, Wenjian Qin:
Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images. Comput. Medical Imaging Graph. 115: 102378 (2024)- [j7]Xiang Liu, Wanming Hu, Songhui Diao, Deboch Eyob Abera, Daniel Racoceanu, Wenjian Qin:
Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images. Comput. Methods Programs Biomed. 248: 108116 (2024) - [j6]Songhui Diao, Xiang Liu, Xuan Liu, Boyun Zheng, Jiahui He, Yaoqin Xie, Wenjian Qin:
Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images. Eng. Appl. Artif. Intell. 133: 108335 (2024) - [j5]Boyun Zheng, Ranran Zhang, Songhui Diao, Jingke Zhu, Yixuan Yuan, Jing Cai, Liang Shao, Shuo Li, Wenjian Qin:
Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation. Medical Image Anal. 97: 103275 (2024) - [j4]Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang:
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains. IEEE Trans. Medical Imaging 43(10): 3533-3545 (2024) - 2023
- [j3]Songhui Diao, Weiren Luo, Jiaxin Hou, Ricardo Lambo, Hamas A. AL-kuhali, Hanqing Zhao, Yinli Tian, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Deep Multi-Magnification Similarity Learning for Histopathological Image Classification. IEEE J. Biomed. Health Informatics 27(3): 1535-1545 (2023) - [j2]Yinli Tian, Wenjian Qin, Fei Xue, Ricardo Lambo, Meiyan Yue, Songhui Diao, Lequan Yu, Yaoqin Xie, Hailin Cao, Shuo Li:
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. IEEE J. Biomed. Health Informatics 27(7): 3258-3269 (2023) - [c2]Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao, Junzhou Huang, Wenming Yang, Jianhua Yao:
An Unsupervised Multispectral Image Registration Network for Skin Diseases. MICCAI (10) 2023: 720-729 - [i2]Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang:
A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising. CoRR abs/2305.15887 (2023) - [i1]Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang:
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains. CoRR abs/2308.16742 (2023) - 2022
- [j1]Yinli Tian, Peiwei Sun, Fei Xue, Ricardo Lambo, Meiyan Yue, Chao An, Songhui Diao, Jianping Lv, Yaoqin Xie, Peng Gong, Hailin Cao, Wenjian Qin:
Class center attention network with spatial adaption for enhancing hepatic segments classification with low-visibility vascular. Displays 72: 102151 (2022) - [c1]Songhui Diao, Luyu Tang, Jiahui He, Hanqing Zhao, Weiren Luo, Yaoqin Xie, Wenjian Qin:
Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework. CMMCA@MICCAI 2022: 141-149
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