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Liyun Chang

Showing results (21-30 of 32) with videos related to

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Scientific Reports|August 21, 2015
Patient- and therapy-related factors associated with the incidence of xerostomia in nasopharyngeal carcinoma patients receiving parotid-sparing helical tomotherapyTsair-Fwu Lee, Ming-Hsiang Liou, Hui-Min Ting, et al.
Radiation Oncology (London, England)|September 18, 2015
Normal tissue complication probability modeling for cochlea constraints to avoid causing tinnitus after head-and-neck intensity-modulated radiation therapyTsair-Fwu Lee, Shyh-An Yeh, Pei-Ju Chao, et al.
Plos One|July 17, 2018
Relationships among patient characteristics, irradiation treatment planning parameters, and treatment toxicity of acute radiation dermatitis after breast hybrid intensity modulation radiation therapyTsair-Fwu Lee, Kuo-Chiang Sung, Pei-Ju Chao, et al.
Radiation Oncology (London, England)|January 9, 2024
Using meta-analysis and CNN-NLP to review and classify the medical literature for normal tissue complication probability in head and neck cancerTsair-Fwu Lee, Yang-Wei Hsieh, Pei-Ying Yang, et al.
Reports (MDPI)|March 27, 2026
Accelerating Evidence Synthesis: A BERT-Assisted Workflow for Meta-Analyses of Radiotherapy Complications in Nasopharyngeal CarcinomaTsair-Fwu Lee, Wen-Ping Yun, Hung-Wei Hsu, et al.
Cancer Management and Research|January 15, 2021
Comparison of Intrafractional Motion in Head and Neck Cancer Between Two Immobilization Methods During Stereotactic Ablative Radiation Therapy by CyberKnifeChen-Lin Kang, Tsair-Fwu Lee, Shan-Ho Chan, et al.
Scientific Reports|November 6, 2023
Using machine learning algorithm to analyse the hypothyroidism complications caused by radiotherapy in patients with head and neck cancerTsair-Fwu Lee, Shen-Hao Lee, Chin-Dar Tseng, et al.
Scientific Reports|January 29, 2022
Using deep learning models to analyze the cerebral edema complication caused by radiotherapy in patients with intracranial tumorPei-Ju Chao, Liyun Chang, Chen-Lin Kang, et al.
Plos One|March 4, 2014
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 cancerTsair-Fwu Lee, Pei-Ju Chao, Hui-Min Ting, et al.
Life (Basel, Switzerland)|February 27, 2026
Improving the Prediction of Radiation Pneumonitis: Leveraging Radiomics and Dosiomics Within IDLSS Lung SubregionsTsair-Fwu Lee, Wen-Ping Yun, Ling-Chuan Chang-Chien, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
Scientific Reports|August 21, 2015
Patient- and therapy-related factors associated with the incidence of xerostomia in nasopharyngeal carcinoma patients receiving parotid-sparing helical tomotherapyTsair-Fwu Lee, Ming-Hsiang Liou, Hui-Min Ting, et al.
Radiation Oncology (London, England)|September 18, 2015
Normal tissue complication probability modeling for cochlea constraints to avoid causing tinnitus after head-and-neck intensity-modulated radiation therapyTsair-Fwu Lee, Shyh-An Yeh, Pei-Ju Chao, et al.
Plos One|July 17, 2018
Relationships among patient characteristics, irradiation treatment planning parameters, and treatment toxicity of acute radiation dermatitis after breast hybrid intensity modulation radiation therapyTsair-Fwu Lee, Kuo-Chiang Sung, Pei-Ju Chao, et al.
Radiation Oncology (London, England)|January 9, 2024
Using meta-analysis and CNN-NLP to review and classify the medical literature for normal tissue complication probability in head and neck cancerTsair-Fwu Lee, Yang-Wei Hsieh, Pei-Ying Yang, et al.
Reports (MDPI)|March 27, 2026
Accelerating Evidence Synthesis: A BERT-Assisted Workflow for Meta-Analyses of Radiotherapy Complications in Nasopharyngeal CarcinomaTsair-Fwu Lee, Wen-Ping Yun, Hung-Wei Hsu, et al.
Cancer Management and Research|January 15, 2021
Comparison of Intrafractional Motion in Head and Neck Cancer Between Two Immobilization Methods During Stereotactic Ablative Radiation Therapy by CyberKnifeChen-Lin Kang, Tsair-Fwu Lee, Shan-Ho Chan, et al.
Scientific Reports|November 6, 2023
Using machine learning algorithm to analyse the hypothyroidism complications caused by radiotherapy in patients with head and neck cancerTsair-Fwu Lee, Shen-Hao Lee, Chin-Dar Tseng, et al.
Scientific Reports|January 29, 2022
Using deep learning models to analyze the cerebral edema complication caused by radiotherapy in patients with intracranial tumorPei-Ju Chao, Liyun Chang, Chen-Lin Kang, et al.
Plos One|March 4, 2014
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 cancerTsair-Fwu Lee, Pei-Ju Chao, Hui-Min Ting, et al.
Life (Basel, Switzerland)|February 27, 2026
Improving the Prediction of Radiation Pneumonitis: Leveraging Radiomics and Dosiomics Within IDLSS Lung SubregionsTsair-Fwu Lee, Wen-Ping Yun, Ling-Chuan Chang-Chien, et al.
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