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Kuo Men

Showing results (11-20 of 114) with videos related to

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Medical Physics|October 28, 2018
A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learningXinyuan Chen, Kuo Men, Yexiong Li, et al.
Radiation Oncology (London, England)|May 7, 2022
Application of piecewise VMAT technique to whole-brain radiotherapy with simultaneous integrated boost for multiple metastasesYuan Xu, Yingjie Xu, Kuo Men, et al.
Medical Physics|September 3, 2024
Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapyBining Yang, Yuxiang Liu, Ran Wei, et al.
Medical Physics|June 22, 2023
Deep learning framework to improve the quality of cone-beam computed tomography for radiotherapy scenariosBining Yang, Yuxiang Liu, Ji Zhu, et al.
Medical Physics|July 18, 2020
A deep learning model to predict dose-volume histograms of organs at risk in radiotherapy treatment plansZhiqiang Liu, Xinyuan Chen, Kuo Men, et al.
Frontiers in Oncology|August 13, 2025
Dosimetric analysis of orthogonal collimator configuration in volumetric modulated arc therapy planning: a comparative studyXin Huang, Chenlei Guo, Shuangtong Liu, et al.
Medical Physics|March 16, 2025
An MR-only deep learning inference model-based dose estimation algorithm for MR-guided adaptive radiation therapyZhiqiang Liu, Kuo Men, Weigang Hu, et al.
Frontiers in Oncology|July 29, 2020
Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active LearningKuo Men, Huaizhi Geng, Tithi Biswas, et al.
Medical Physics|July 14, 2023
Pretreatment information-aided automatic segmentation for online magnetic resonance imaging-guided prostate radiotherapyBining Yang, Yuxiang Liu, Ji Zhu, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 8, 2022
Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstructionBining Yang, Xinyuan Chen, Siqi Yuan, et al.
Pageof 12

Showing results (11-20 of 114) with videos related to

Sort By:
Pageof 12
Medical Physics|October 28, 2018
A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learningXinyuan Chen, Kuo Men, Yexiong Li, et al.
Radiation Oncology (London, England)|May 7, 2022
Application of piecewise VMAT technique to whole-brain radiotherapy with simultaneous integrated boost for multiple metastasesYuan Xu, Yingjie Xu, Kuo Men, et al.
Medical Physics|September 3, 2024
Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapyBining Yang, Yuxiang Liu, Ran Wei, et al.
Medical Physics|June 22, 2023
Deep learning framework to improve the quality of cone-beam computed tomography for radiotherapy scenariosBining Yang, Yuxiang Liu, Ji Zhu, et al.
Medical Physics|July 18, 2020
A deep learning model to predict dose-volume histograms of organs at risk in radiotherapy treatment plansZhiqiang Liu, Xinyuan Chen, Kuo Men, et al.
Frontiers in Oncology|August 13, 2025
Dosimetric analysis of orthogonal collimator configuration in volumetric modulated arc therapy planning: a comparative studyXin Huang, Chenlei Guo, Shuangtong Liu, et al.
Medical Physics|March 16, 2025
An MR-only deep learning inference model-based dose estimation algorithm for MR-guided adaptive radiation therapyZhiqiang Liu, Kuo Men, Weigang Hu, et al.
Frontiers in Oncology|July 29, 2020
Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active LearningKuo Men, Huaizhi Geng, Tithi Biswas, et al.
Medical Physics|July 14, 2023
Pretreatment information-aided automatic segmentation for online magnetic resonance imaging-guided prostate radiotherapyBining Yang, Yuxiang Liu, Ji Zhu, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 8, 2022
Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstructionBining Yang, Xinyuan Chen, Siqi Yuan, et al.
Pageof 12