Showing 1 - 7 results of 7 for search 'Xiaochun Meng', query time: 0.03s Refine Results
  1. 1
    A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer

    A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer by Yonghe Chen, Yonghe Chen, Kaikai Wei, Kaikai Wei, Dan Liu, Jun Xiang, Jun Xiang, Gang Wang, Xiaochun Meng, Xiaochun Meng, Junsheng Peng, Junsheng Peng

    Published 2021-06-01
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    Article
  2. 2
    A novel ultrasound scanning approach for evaluating femoral cartilage defects of the knee: comparison with routine magnetic resonance imaging

    A novel ultrasound scanning approach for evaluating femoral cartilage defects of the knee: comparison with routine magnetic resonance imaging by Junyan Cao, Bowen Zheng, Xiaochun Meng, Yan Lv, Huading Lu, Kun Wang, Dongmei Huang, Jie Ren

    Published 2018-07-01
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    Article
  3. 3
    Tumor response as defined by iRECIST in gastrointestinal malignancies treated with PD-1 and PD-L1 inhibitors and correlation with survival

    Tumor response as defined by iRECIST in gastrointestinal malignancies treated with PD-1 and PD-L1 inhibitors and correlation with survival by Peiyi Xie, Hong Zheng, Haiyang Chen, Kaikai Wei, Ximin Pan, Qinmei Xu, Yongchen Wang, Changguan Tang, Olivier Gevaert, Xiaochun Meng

    Published 2021-11-01
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  4. 4
    A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study

    A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study by Yanfen Cui, Jiayi Zhang, Zhenhui Li, Kaikai Wei, Ye Lei, Jialiang Ren, Lei Wu, Zhenwei Shi, Xiaochun Meng, Xiaotang Yang, Xin Gao

    Published 2022-04-01
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    Article
  5. 5
    Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer

    Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer by Zhuokai Zhuang, Zongchao Liu, Juan Li, Xiaolin Wang, Peiyi Xie, Fei Xiong, Jiancong Hu, Xiaochun Meng, Meijin Huang, Yanhong Deng, Ping Lan, Huichuan Yu, Yanxin Luo

    Published 2021-06-01
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  6. 6
    Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study

    Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study by Xiangyu Liu, Dafu Zhang, Zhenyu Liu, Zhenhui Li, Peiyi Xie, Kai Sun, Wei Wei, Weixing Dai, Zhenchao Tang, Yingying Ding, Guoxiang Cai, Tong Tong, Xiaochun Meng, Jie Tian

    Published 2021-07-01
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  7. 7
    Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study

    Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study by Xingyu Zhao, Peiyi Xie, Mengmeng Wang, Wenru Li, Perry J. Pickhardt, Wei Xia, Fei Xiong, Rui Zhang, Yao Xie, Junming Jian, Honglin Bai, Caifang Ni, Jinhui Gu, Tao Yu, Yuguo Tang, Xin Gao, Xiaochun Meng

    Published 2020-06-01
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    Article

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