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TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature


Jan 30, 2023
Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu

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EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap


Jan 01, 2023
Ke Zou, Xuedong Yuan, Xiaojing Shen, Yidi Chen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu

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* 38 pages, 6 figures 

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Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images


Dec 01, 2022
Meng Wang, Kai Yu, Chun-Mei Feng, Ke Zou, Yanyu Xu, Qingquan Meng, Rick Siow Mong Goh, Yong Liu, Xinxing Xu, Huazhu Fu

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ExpNet: A unified network for Expert-Level Classification


Nov 29, 2022
Junde Wu, Huihui Fang, Yehui Yang, Yu Zhang, Haoyi Xiong, Huazhu Fu, Yanwu Xu

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Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19


Nov 10, 2022
Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng

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* Codes are available at https://github.com/jcwang123/DM2TNet; Accepted by Transactions on Cybernetics 

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Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network


Oct 18, 2022
Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu

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* International Conference on Medical Image Computing and Computer-Assisted Intervention. (2022) 507-516 

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Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks


Sep 25, 2022
Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih-Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng

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Learning to screen Glaucoma like the ophthalmologists


Sep 23, 2022
Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Yanwu Xu

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Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain


Sep 05, 2022
Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu

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* 13 pages, 7 figures 

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Dataset and Evaluation algorithm design for GOALS Challenge


Jul 29, 2022
Huihui Fang, Fei Li, Huazhu Fu, Junde Wu, Xiulan Zhang, Yanwu Xu

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* 8 pages, 3 figures, OMIA9 (MICCAI 2022) workshop 

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