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Meng-Jie Fang

Showing results (1-10 of 7) with videos related to

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Chinese Medical Sciences Journal = Chung-Kuo I Hsueh K'O Hsueh Tsa Chih|November 2, 2022
Semi-supervised Long-tail Endoscopic Image ClassificationRun-Nan Cao, Meng-Jie Fang, Hai-Ling Li, et al.
European Journal of Radiology|February 9, 2020
Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survivalJia Fu, Meng-Jie Fang, Di Dong, et al.
European Journal of Radiology|September 27, 2020
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancerRui-Jia Sun, Meng-Jie Fang, Lei Tang, et al.
BMC Medicine|October 24, 2019
Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959)Di Dong, Fan Zhang, Lian-Zhen Zhong, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 8, 2020
A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0Lian-Zhen Zhong, Xue-Liang Fang, Di Dong, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 13, 2019
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal CarcinomaHao Peng, Di Dong, Meng-Jie Fang, et al.
Translational Lung Cancer Research|May 9, 2022
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival riskBing-Xi He, Yi-Fan Zhong, Yong-Bei Zhu, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Chinese Medical Sciences Journal = Chung-Kuo I Hsueh K'O Hsueh Tsa Chih|November 2, 2022
Semi-supervised Long-tail Endoscopic Image ClassificationRun-Nan Cao, Meng-Jie Fang, Hai-Ling Li, et al.
European Journal of Radiology|February 9, 2020
Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survivalJia Fu, Meng-Jie Fang, Di Dong, et al.
European Journal of Radiology|September 27, 2020
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancerRui-Jia Sun, Meng-Jie Fang, Lei Tang, et al.
BMC Medicine|October 24, 2019
Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959)Di Dong, Fan Zhang, Lian-Zhen Zhong, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 8, 2020
A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0Lian-Zhen Zhong, Xue-Liang Fang, Di Dong, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 13, 2019
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal CarcinomaHao Peng, Di Dong, Meng-Jie Fang, et al.
Translational Lung Cancer Research|May 9, 2022
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival riskBing-Xi He, Yi-Fan Zhong, Yong-Bei Zhu, et al.
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