Hasil Pencarian - Haonan Xiao

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  1. 1
    A review on 3D deformable image registration and its application in dose warping

    A review on 3D deformable image registration and its application in dose warping oleh Haonan Xiao, Ge Ren, Jing Cai

    Diterbitkan 2020-12-01
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  2. 2
    Modeling of artificial intelligence-based respiratory motion prediction in MRI-guided radiotherapy: a review

    Modeling of artificial intelligence-based respiratory motion prediction in MRI-guided radiotherapy: a review oleh Xiangbin Zhang, Di Yan, Haonan Xiao, Renming Zhong

    Diterbitkan 2024-10-01
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  3. 3
    An overview of artificial intelligence in medical physics and radiation oncology

    An overview of artificial intelligence in medical physics and radiation oncology oleh Jiali Liu, Haonan Xiao, Jiawei Fan, Weigang Hu, Yong Yang, Peng Dong, Lei Xing, Jing Cai

    Diterbitkan 2023-09-01
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  4. 4
    Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy

    Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy oleh Ge Ren, Sai-kit Lam, Jiang Zhang, Haonan Xiao, Andy Lai-yin Cheung, Wai-yin Ho, Jing Qin, Jing Cai

    Diterbitkan 2022-09-01
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  5. 5
    Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy

    Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy oleh Ge Ren, Sai-kit Lam, Jiang Zhang, Haonan Xiao, Andy Lai-yin Cheung, Wai-yin Ho, Jing Qin, Jing Cai

    Diterbitkan 2021-03-01
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  6. 6
    Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma

    Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma oleh Jun Liu, Qinghua Ren, Haonan Xiao, Siqi Li, Lingling Zheng, Xu Yang, Lijuan Feng, Ziang Zhou, Huanmin Wang, Jigang Yang, Wei Wang

    Diterbitkan 2024-06-01
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  7. 7
    Building reliable radiomic models using image perturbation

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

    Diterbitkan 2022-06-01
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  8. 8
    A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients

    A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients oleh Ge Ren, Bing Li, Bing Li, Sai-kit Lam, Haonan Xiao, Yu-Hua Huang, Andy Lai-yin Cheung, Yufei Lu, Ronghu Mao, Hong Ge, Feng-Ming (Spring) Kong, Feng-Ming (Spring) Kong, Wai-yin Ho, Jing Cai

    Diterbitkan 2022-07-01
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  9. 9
    Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma

    Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma oleh Xinzhi Teng, Jiang Zhang, Zongrui Ma, Yuanpeng Zhang, Saikit Lam, Wen Li, Haonan Xiao, Tian Li, Bing Li, Ta Zhou, Ge Ren, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Amy Tien Yee Chang, Jing Cai

    Diterbitkan 2022-10-01
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