Rezultati - Teng, Xinzhi

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  1. 1
    Respiratory deformation registration in 4D-CT/cone beam CT using deep learning

    Respiratory deformation registration in 4D-CT/cone beam CT using deep learning od Teng, Xinzhi, Chen, Yingxuan, Zhang, Yawei, Ren, Lei

    Izdano 2021
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  2. 2
    A review of deep learning-based three-dimensional medical image registration methods

    A review of deep learning-based three-dimensional medical image registration methods od Xiao, Haonan, Teng, Xinzhi, Liu, Chenyang, Li, Tian, Ren, Ge, Yang, Ruijie, Shen, Dinggang, Cai, Jing

    Izdano 2021
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  3. 3
    Deep learning-based bone suppression in chest radiographs using CT-derived features: a feasibility study

    Deep learning-based bone suppression in chest radiographs using CT-derived features: a feasibility study od Ren, Ge, Xiao, Haonan, Lam, Sai-Kit, Yang, Dongrong, Li, Tian, Teng, Xinzhi, Qin, Jing, Cai, Jing

    Izdano 2021
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  4. 4
    Multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI): Development and initial evaluation in liver tumor patients

    Multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI): Development and initial evaluation in liver tumor patients od Zhang, Lei, Yin, Fang-Fang, Li, Tian, Teng, Xinzhi, Xiao, Haonan, Harris, Wendy, Ren, Lei, Kong, Feng-Ming Spring, Ge, Hong, Mao, Ronghu, Cai, Jing

    Izdano 2021
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  5. 5
    Building reliable radiomic models using image perturbation

    Building reliable radiomic models using image perturbation od Teng, Xinzhi, Zhang, Jiang, Zwanenburg, Alex, Sun, Jiachen, Huang, Yuhua, Lam, Saikit, Zhang, Yuanpeng, Li, Bing, Zhou, Ta, Xiao, Haonan, Liu, Chenyang, Li, Wen, Han, Xinyang, Ma, Zongrui, Li, Tian, Cai, Jing

    Izdano 2022
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  6. 6
    A Dual-supervised Deformation Estimation Model (DDEM) for Constructing Ultra-quality 4D-MRI based on a Commercial Low-quality 4D-MRI for Liver Cancer Radiation Therapy

    A Dual-supervised Deformation Estimation Model (DDEM) for Constructing Ultra-quality 4D-MRI based on a Commercial Low-quality 4D-MRI for Liver Cancer Radiation Therapy od Xiao, Haonan, Ni, Ruiyan, Zhi, Shaohua, Li, Wen, Liu, Chenyang, Ren, Ge, Teng, Xinzhi, Liu, Weiwei, Wang, Weihu, Zhang, Yibao, Wu, Hao, Lee, Ho-Fun Victor, Cheung, Lai-Yin Andy, Chang, Hing-Chiu Charles, Li, Tian, Cai, Jing

    Izdano 2022
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  7. 7
    Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy

    Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy od Lam, Sai-Kit, Zhang, Yuanpeng, Zhang, Jiang, Li, Bing, Sun, Jia-Chen, Liu, Carol Yee-Tung, Chou, Pak-Hei, Teng, Xinzhi, Ma, Zong-Rui, Ni, Rui-Yan, Zhou, Ta, Peng, Tao, Xiao, Hao-Nan, Li, Tian, Ren, Ge, Cheung, Andy Lai-Yin, Lee, Francis Kar-Ho, Yip, Celia Wai-Yi, Au, Kwok-Hung, Lee, Victor Ho-Fun, Chang, Amy Tien-Yee, Chan, Lawrence Wing-Chi, Cai, Jing

    Izdano 2022
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