Hasil Pencarian - Hui-Min Ting

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  1. 1
    Developing Multivariable Normal Tissue Complication Probability Model to Predict the Incidence of Symptomatic Radiation Pneumonitis among Breast Cancer Patients.

    Developing Multivariable Normal Tissue Complication Probability Model to Predict the Incidence of Symptomatic Radiation Pneumonitis among Breast Cancer Patients. oleh Tsair-Fwu Lee, Pei-Ju Chao, Liyun Chang, Hui-Min Ting, Yu-Jie Huang

    Diterbitkan 2015-01-01
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  2. 2
    Relationships among patient characteristics, irradiation treatment planning parameters, and treatment toxicity of acute radiation dermatitis after breast hybrid intensity modulation radiation therapy.

    Relationships among patient characteristics, irradiation treatment planning parameters, and treatment toxicity of acute radiation dermatitis after breast hybrid intensity modulatio... oleh Tsair-Fwu Lee, Kuo-Chiang Sung, Pei-Ju Chao, Yu-Jie Huang, Jen-Hong Lan, Horng-Yuan Wu, Liyun Chang, Hui-Min Ting

    Diterbitkan 2018-01-01
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  3. 3
    Propensity-score-matched evaluation of the incidence of radiation pneumonitis and secondary cancer risk for breast cancer patients treated with IMRT/VMAT

    Propensity-score-matched evaluation of the incidence of radiation pneumonitis and secondary cancer risk for breast cancer patients treated with IMRT/VMAT oleh Pei-Ju Chao, Hsiao-Fei Lee, Jen-Hong Lan, Shih-Sian Guo, Hui-Min Ting, Yu-Jie Huang, Hui-Chun Chen, Tsair-Fwu Lee

    Diterbitkan 2017-10-01
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  4. 4
    Lung Locations Most Affected by Dose-Calculation Algorithms in CyberKnife Stereotactic Body Radiotherapy

    Lung Locations Most Affected by Dose-Calculation Algorithms in CyberKnife Stereotactic Body Radiotherapy oleh Yu-Jie Huang, Chih-Hsueh Lin, Hsiao-Han Chang, Hui-Min Ting, Pei-Ju Chao, I-Hsing Tsai, Chao-Hong Liu, Chun-Chieh Huang, Tsair-Fwu Lee

    Diterbitkan 2019-01-01
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  5. 5
    Using multivariate regression model with least absolute shrinkage and selection operator (LASSO) to predict the incidence of Xerostomia after intensity-modulated radiotherapy for head and neck cancer.

    Using multivariate regression model with least absolute shrinkage and selection operator (LASSO) to predict the incidence of Xerostomia after intensity-modulated radiotherapy for h... oleh Tsair-Fwu Lee, Pei-Ju Chao, Hui-Min Ting, Liyun Chang, Yu-Jie Huang, Jia-Ming Wu, Hung-Yu Wang, Mong-Fong Horng, Chun-Ming Chang, Jen-Hong Lan, Ya-Yu Huang, Fu-Min Fang, Stephen Wan Leung

    Diterbitkan 2014-01-01
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