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Medical Physics
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September 25, 2023
Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy
Yichao Shen, Xingni Tang, Sara Lin, et al.
Radiation Oncology (London, England)
|
January 16, 2019
Excluding PTV from lung volume may better predict radiation pneumonitis for intensity modulated radiation therapy in lung cancer patients
Yinnan Meng, Haihua Yang, Wei Wang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
March 24, 2023
CT-based radiomics nomogram may predict who can benefit from adaptive radiotherapy in patients with local advanced-NSCLC patients
Chao Zhou, Liqiao Hou, Xingni Tang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
February 26, 2021
Adaptive intensity-modulated radiotherapy with simultaneous integrated boost for stage III non-small cell lung cancer: Is a routine adaptation beneficial?
Yinnan Meng, Wei Luo, Hailing Xu, et al.
Clinical and Translational Radiation Oncology
|
August 27, 2024
CT-based different regions of interest radiomics analysis for acute radiation pneumonitis in patients with locally advanced NSCLC after chemoradiotherapy
Liqiao Hou, Kuifei Chen, Chao Zhou, et al.
Oral Oncology
|
August 25, 2024
Current state, challenges, and future perspective of adaptive radiotherapy: A narrative review of nasopharyngeal carcinoma
Xiate Zhou, Tianchi Shao, Haijian Jia, et al.
Frontiers in Oncology
|
November 12, 2020
Intermediate Dose-Volume Parameters, Not Low-Dose Bath, Is Superior to Predict Radiation Pneumonitis for Lung Cancer Treated With Intensity-Modulated Radiotherapy
Yinnan Meng, Wei Luo, Wei Wang, et al.
Annals of Palliative Medicine
|
February 7, 2021
Radiation-induced lung damage in patients treated with stereotactic body radiotherapy after EGFR-TKIs: is there any difference from stereotactic body radiotherapy alone?
Xingni Tang, Yichao Shen, Yinnan Meng, et al.
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Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Medical Physics
|
September 25, 2023
Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy
Yichao Shen, Xingni Tang, Sara Lin, et al.
Radiation Oncology (London, England)
|
January 16, 2019
Excluding PTV from lung volume may better predict radiation pneumonitis for intensity modulated radiation therapy in lung cancer patients
Yinnan Meng, Haihua Yang, Wei Wang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
March 24, 2023
CT-based radiomics nomogram may predict who can benefit from adaptive radiotherapy in patients with local advanced-NSCLC patients
Chao Zhou, Liqiao Hou, Xingni Tang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
February 26, 2021
Adaptive intensity-modulated radiotherapy with simultaneous integrated boost for stage III non-small cell lung cancer: Is a routine adaptation beneficial?
Yinnan Meng, Wei Luo, Hailing Xu, et al.
Clinical and Translational Radiation Oncology
|
August 27, 2024
CT-based different regions of interest radiomics analysis for acute radiation pneumonitis in patients with locally advanced NSCLC after chemoradiotherapy
Liqiao Hou, Kuifei Chen, Chao Zhou, et al.
Oral Oncology
|
August 25, 2024
Current state, challenges, and future perspective of adaptive radiotherapy: A narrative review of nasopharyngeal carcinoma
Xiate Zhou, Tianchi Shao, Haijian Jia, et al.
Frontiers in Oncology
|
November 12, 2020
Intermediate Dose-Volume Parameters, Not Low-Dose Bath, Is Superior to Predict Radiation Pneumonitis for Lung Cancer Treated With Intensity-Modulated Radiotherapy
Yinnan Meng, Wei Luo, Wei Wang, et al.
Annals of Palliative Medicine
|
February 7, 2021
Radiation-induced lung damage in patients treated with stereotactic body radiotherapy after EGFR-TKIs: is there any difference from stereotactic body radiotherapy alone?
Xingni Tang, Yichao Shen, Yinnan Meng, et al.
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of 1