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FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation von Qiao, Pengchong, Shang, Lei, Liu, Chang, Sun, Baigui, Ji, Xiangyang, Chen, Jie

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Fuzzy Positive Learning for Semi-supervised Semantic Segmentation von Qiao, Pengchong, Wei, Zhidan, Wang, Yu, Wang, Zhennan, Song, Guoli, Xu, Fan, Ji, Xiangyang, Liu, Chang, Chen, Jie

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L_2$BN: Enhancing Batch Normalization by Equalizing the $L_2$ Norms of Features von Wang, Zhennan, Li, Kehan, Yu, Runyi, Zhao, Yian, Qiao, Pengchong, Liu, Chang, Xu, Fan, Ji, Xiangyang, Song, Guoli, Chen, Jie

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Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning von Wang, Yu, Qiao, Pengchong, Liu, Chang, Song, Guoli, Zheng, Xiawu, Chen, Jie

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Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network von Chai, Chao, Qiao, Pengchong, Zhao, Bin, Wang, Huiying, Liu, Guohua, Wu, Hong, Haacke, E Mark, Shen, Wen, Cao, Chen, Ye, Xinchen, Liu, Zhiyang, Xia, Shuang

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(L_2\)BN: Enhancing Batch Normalization by Equalizing the \(L_2\) Norms of Features von Wang, Zhennan, Li, Kehan, Yu, Runyi, Zhao, Yian, Qiao, Pengchong, Liu, Chang, Xu, Fan, Ji, Xiangyang, Song, Guoli, Chen, Jie

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Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation von Cheng, Zesen, Qiao, Pengchong, Li, Kehan, Li, Siheng, Pengxu Wei, Ji, Xiangyang, Li, Yuan, Liu, Chang, Chen, Jie

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Fuzzy Positive Learning for Semi-supervised Semantic Segmentation von Qiao, Pengchong, Zhidan Wei, Wang, Yu, Wang, Zhennan, Song, Guoli, Xu, Fan, Ji, Xiangyang, Liu, Chang, Chen, Jie

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Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network von Chai, Chao, Qiao, Pengchong, Zhao, Bin, Wang, Huiying, Liu, Guohua, Wu, Hong, Haacke, E Mark, Shen, Wen, Cao, Chen, Ye, Xinchen, Liu, Zhiyang, Xia, Shuang

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Chest CT image lesion segmentation model training method and system von CHEN JIE, GAO ZHIQIANG, QIAO PENGCHONG, TIAN YONGHONG

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Multi-modal nuclear magnetic image cerebral arterial thrombosis lesion segmentation method based on convolutional neural network von HUANGN XINGYU, WU HONG, LIU GUOHUA, LIU ZHIYANG, NAN RUILI, QIAO PENGCHONG, LIU JIANING

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