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Kuiyuan Liu

Showing results (11-20 of 19) with videos related to

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Ebiomedicine|November 22, 2025
One-stop early noninvasive evaluation of renal allograft rejection and fibrosis: microstructural mapping via time-dependent diffusion MRIZhouyan Liao, Gen Chen, Kuiyuan Liu, et al.
Oral Oncology|July 3, 2020
Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance imagesLiangru Ke, Yishu Deng, Weixiong Xia, et al.
Computer Methods and Programs in Biomedicine|August 12, 2020
Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIsBingzhong Jing, Yishu Deng, Tao Zhang, et al.
Artificial Intelligence in Medicine|September 16, 2019
A deep survival analysis method based on rankingBingzhong Jing, Tao Zhang, Zixian Wang, et al.
Oral Oncology|July 1, 2020
Prognostic value and the potential role of treatment options for cervical lymph node necrosis in nasopharyngeal carcinomaKuiyuan Liu, Siting Lin, Liangru Ke, et al.
Oral Oncology|May 23, 2021
An interpretable machine learning prognostic system for locoregionally advanced nasopharyngeal carcinoma based on tumor burden featuresXi Chen, Yingxue Li, Xiang Li, et al.
Frontiers in Oncology|October 12, 2020
Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal CarcinomaXi Chen, Xun Cao, Bingzhong Jing, et al.
Journal of the National Cancer Institute|September 24, 2020
A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal CarcinomaMengyun Qiang, Chaofeng Li, Yuyao Sun, et al.
Cancer Communications (London, England)|September 27, 2018
Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignanciesChaofeng Li, Bingzhong Jing, Liangru Ke, et al.
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Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Ebiomedicine|November 22, 2025
One-stop early noninvasive evaluation of renal allograft rejection and fibrosis: microstructural mapping via time-dependent diffusion MRIZhouyan Liao, Gen Chen, Kuiyuan Liu, et al.
Oral Oncology|July 3, 2020
Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance imagesLiangru Ke, Yishu Deng, Weixiong Xia, et al.
Computer Methods and Programs in Biomedicine|August 12, 2020
Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIsBingzhong Jing, Yishu Deng, Tao Zhang, et al.
Artificial Intelligence in Medicine|September 16, 2019
A deep survival analysis method based on rankingBingzhong Jing, Tao Zhang, Zixian Wang, et al.
Oral Oncology|July 1, 2020
Prognostic value and the potential role of treatment options for cervical lymph node necrosis in nasopharyngeal carcinomaKuiyuan Liu, Siting Lin, Liangru Ke, et al.
Oral Oncology|May 23, 2021
An interpretable machine learning prognostic system for locoregionally advanced nasopharyngeal carcinoma based on tumor burden featuresXi Chen, Yingxue Li, Xiang Li, et al.
Frontiers in Oncology|October 12, 2020
Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal CarcinomaXi Chen, Xun Cao, Bingzhong Jing, et al.
Journal of the National Cancer Institute|September 24, 2020
A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal CarcinomaMengyun Qiang, Chaofeng Li, Yuyao Sun, et al.
Cancer Communications (London, England)|September 27, 2018
Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignanciesChaofeng Li, Bingzhong Jing, Liangru Ke, et al.
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