Hasil Pencarian - Yingpu Cui

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  1. 1
    Comprehensive 18F-FDG PET-based radiomics in elevating the pathological response to neoadjuvant immunochemotherapy for resectable stage III non-small-cell lung cancer: A pilot study

    Comprehensive 18F-FDG PET-based radiomics in elevating the pathological response to neoadjuvant immunochemotherapy for resectable stage III non-small-cell lung cancer: A pilot stud... oleh Yingpu Cui, Yingpu Cui, Yaobin Lin, Yaobin Lin, Zerui Zhao, Zerui Zhao, Hao Long, Hao Long, Lie Zheng, Lie Zheng, Xiaoping Lin, Xiaoping Lin

    Diterbitkan 2022-11-01
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  2. 2
    Preoperative Prediction of Inferior Vena Cava Wall Invasion of Tumor Thrombus in Renal Cell Carcinoma: Radiomics Models Based on Magnetic Resonance Imaging

    Preoperative Prediction of Inferior Vena Cava Wall Invasion of Tumor Thrombus in Renal Cell Carcinoma: Radiomics Models Based on Magnetic Resonance Imaging oleh Zhaonan Sun, Yingpu Cui, Yingpu Cui, Chunru Xu, Yanfei Yu, Chao Han, Xiang Liu, Zhiyong Lin, Xiangpeng Wang, Changxin Li, Xiaodong Zhang, Xiaoying Wang

    Diterbitkan 2022-06-01
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  3. 3
    Detection and Segmentation of Pelvic Bones Metastases in MRI Images for Patients With Prostate Cancer Based on Deep Learning

    Detection and Segmentation of Pelvic Bones Metastases in MRI Images for Patients With Prostate Cancer Based on Deep Learning oleh Xiang Liu, Chao Han, Yingpu Cui, Tingting Xie, Xiaodong Zhang, Xiaoying Wang

    Diterbitkan 2021-11-01
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  4. 4
    Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network

    Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network oleh Xiang Liu, Chao Han, He Wang, Jingyun Wu, Yingpu Cui, Xiaodong Zhang, Xiaoying Wang

    Diterbitkan 2021-07-01
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  5. 5
    Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images

    Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images oleh Xiang Liu, Zhaonan Sun, Chao Han, Yingpu Cui, Jiahao Huang, Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang

    Diterbitkan 2021-11-01
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