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Runsheng Chang

Showing results (1-10 of 12) with videos related to

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Frontiers in Oncology|July 26, 2021
Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography ImagesRunsheng Chang, Shouliang Qi, Yong Yue, et al.
BMC Cancer|February 1, 2023
Using CT radiomic features based on machine learning models to subtype adrenal adenomaShouliang Qi, Yifan Zuo, Runsheng Chang, et al.
Zhongguo Fei AI Za Zhi = Chinese Journal of Lung Cancer|December 1, 2010
[Retrospective analysis of screening results of lung cancer cases among occupational population at high risk of lung cancer]Yaguang Fan, Yong Jiang, Runsheng Chang, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|October 22, 2023
Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapyRunsheng Chang, Shouliang Qi, Yanan Wu, et al.
Frontiers in Oncology|August 25, 2022
Predicting chemotherapy response in non-small-cell lung cancer <i>via</i> computed tomography radiomic features: Peritumoral, intratumoral, or combined?Runsheng Chang, Shouliang Qi, Yifan Zuo, et al.
Translational Oncology|June 15, 2023
Deep radiomic model based on the sphere-shell partition for predicting treatment response to chemotherapy in lung cancerRunsheng Chang, Shouliang Qi, Yanan Wu, et al.
Zhongguo Fei AI Za Zhi = Chinese Journal of Lung Cancer|February 16, 2011
[Establishment of cohort to study lung cancer in Yunnan tin miners]Guofu Gao, Shuxiang Yao, Xiudi Sun, et al.
Scientific Reports|November 18, 2022
Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT imagesRunsheng Chang, Shouliang Qi, Yanan Wu, et al.
Journal of Exposure Science & Environmental Epidemiology|April 14, 2016
Modification of association between prior lung disease and lung cancer by inhaled arsenic: A prospective occupational-based cohort study in Yunnan, ChinaYaguang Fan, Yong Jiang, Ping Hu, et al.
Artificial Intelligence in Medicine|September 6, 2023
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT imagesYanan Wu, Shuiqing Zhao, Shouliang Qi, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Oncology|July 26, 2021
Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography ImagesRunsheng Chang, Shouliang Qi, Yong Yue, et al.
BMC Cancer|February 1, 2023
Using CT radiomic features based on machine learning models to subtype adrenal adenomaShouliang Qi, Yifan Zuo, Runsheng Chang, et al.
Zhongguo Fei AI Za Zhi = Chinese Journal of Lung Cancer|December 1, 2010
[Retrospective analysis of screening results of lung cancer cases among occupational population at high risk of lung cancer]Yaguang Fan, Yong Jiang, Runsheng Chang, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|October 22, 2023
Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapyRunsheng Chang, Shouliang Qi, Yanan Wu, et al.
Frontiers in Oncology|August 25, 2022
Predicting chemotherapy response in non-small-cell lung cancer <i>via</i> computed tomography radiomic features: Peritumoral, intratumoral, or combined?Runsheng Chang, Shouliang Qi, Yifan Zuo, et al.
Translational Oncology|June 15, 2023
Deep radiomic model based on the sphere-shell partition for predicting treatment response to chemotherapy in lung cancerRunsheng Chang, Shouliang Qi, Yanan Wu, et al.
Zhongguo Fei AI Za Zhi = Chinese Journal of Lung Cancer|February 16, 2011
[Establishment of cohort to study lung cancer in Yunnan tin miners]Guofu Gao, Shuxiang Yao, Xiudi Sun, et al.
Scientific Reports|November 18, 2022
Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT imagesRunsheng Chang, Shouliang Qi, Yanan Wu, et al.
Journal of Exposure Science & Environmental Epidemiology|April 14, 2016
Modification of association between prior lung disease and lung cancer by inhaled arsenic: A prospective occupational-based cohort study in Yunnan, ChinaYaguang Fan, Yong Jiang, Ping Hu, et al.
Artificial Intelligence in Medicine|September 6, 2023
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT imagesYanan Wu, Shuiqing Zhao, Shouliang Qi, et al.
Pageof 2