1. An interpretable machine learning prognostic system for locoregionally advanced nasopharyngeal carcinoma based on tumor burden features. (July 2021) Authors: Chen, Xi; Li, Yingxue; Li, Xiang; Cao, Xun; Xiang, Yanqun; Xia, Weixiong; Li, Jianpeng; Gao, Mingyong; Sun, Yuyao; Liu, Kuiyuan; Qiang, Mengyun; Liang, Chixiong; Miao, Jingjing; Cai, Zhuochen; Guo, Xiang; Li, Chaofeng; Xie, Guotong; Lv, Xing Journal: Oral oncology Issue: Volume 118(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Clinical Features and Treatment Response of Solid Neuroendocrine Breast Carcinoma to Adjuvant Chemotherapy and Endocrine Therapy. Issue 4 (31st May 2013) Authors: Zhu, Yuliang; Li, Qun; Gao, Jianming; He, Zhenyu; Sun, Rui; Shen, Guoping; Zhang, Haibo; Xia, Weixiong; Xu, Junjie Journal: Breast journal Issue: Volume 19:Issue 4(2013:Jul./Aug.) Page Start: 382 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Deep learning pathological microscopic features in endemic nasopharyngeal cancer: Prognostic value and protentional role for individual induction chemotherapy. (20th December 2019) Authors: Liu, Kuiyuan; Xia, Weixiong; Qiang, Mengyun; Chen, Xi; Liu, Jia; Guo, Xiang; Lv, Xing Journal: Cancer medicine Issue: Volume 9:Number 4(2020) Page Start: 1298 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Development and validation of an endoscopic images‐based deep learning model for detection with nasopharyngeal malignancies. Issue 1 (25th September 2018) Authors: Li, Chaofeng; Jing, Bingzhong; Ke, Liangru; Li, Bin; Xia, Weixiong; He, Caisheng; Qian, Chaonan; Zhao, Chong; Mai, Haiqiang; Chen, Mingyuan; Cao, Kajia; Mo, Haoyuan; Guo, Ling; Chen, Qiuyan; Tang, Linquan; Qiu, Wenze; Yu, Yahui; Liang, Hu; Huang, Xinjun; Liu, Guoying Journal: Cancer communications Issue: Volume 38:Issue 1(2018) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images. (November 2020) Authors: Ke, Liangru; Deng, Yishu; Xia, Weixiong; Qiang, Mengyun; Chen, Xi; Liu, Kuiyuan; Jing, Bingzhong; He, Caisheng; Xie, Chuanmiao; Guo, Xiang; Lv, Xing; Li, Chaofeng Journal: Oral oncology Issue: Volume 110(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Prognostic value and the potential role of treatment options for cervical lymph node necrosis in nasopharyngeal carcinoma. (October 2020) Authors: Liu, Kuiyuan; Lin, Siting; Ke, Liangru; Xia, Weixiong; Zhang, Chun; Li, Jianpeng; Gao, Mingyong; Qiang, Mengyun; Chen, Xi; Liu, Jia; Xie, Chuanmiao; Guo, Xiang; Lv, Xing Journal: Oral oncology Issue: Volume 109(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Prognostic value of phosphorylated Raf kinase inhibitory protein at serine 153 and its predictive effect on the clinical response to radiotherapy in nasopharyngeal carcinoma. Issue 1 (December 2016) Authors: Li, Siwei; Liu, Taowen; Mo, Wenfa; Hou, Qiaoyan; Zhou, Yingqiong; Liu, Meilian; He, Zhoukai; Liu, Zhengchun; Chen, Qiuqiu; Wang, Hua; Guo, Xiang; Xia, Weixiong; Zeng, Musheng; Zhao, Haiyun Journal: Radiation oncology Issue: Volume 11:Issue 1(2016) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Symptom clusters in patients with nasopharyngeal carcinoma during radiotherapy. (June 2017) Authors: Xiao, Wenli; Chan, Carmen W.H.; Fan, Yuying; Leung, Doris Y.P.; Xia, Weixiong; He, Yan; Tang, Linquan Journal: European journal of oncology nursing Issue: Volume 28(2017) Page Start: 7 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area. (April 2022) Authors: Deng, Yishu; Li, Chaofeng; Lv, Xing; Xia, Weixiong; Shen, Lujun; Jing, Bingzhong; Li, Bin; Guo, Xiang; Sun, Ying; Xie, Chuanmiao; Ke, Liangru Journal: Computer methods and programs in biomedicine Issue: Volume 217(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗