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Development of a deep learning-based method to diagnose pulmonary ground-glass nodules by sequential computed tomography imaging 期刊论文
THORACIC CANCER, 2022, 页码: 11
作者:  Qiu, Zhixin;  Wu, Qingxia;  Wang, Shuo;  Chen, Zhixia;  Lin, Feng;  Zhou, Yuyan;  Jin, Jing;  Xian, Jinghong;  Tian, Jie;  Li, Weimin
收藏  |  浏览/下载:217/0  |  提交时间:2022/02/16
deep learning  ground-glass nodules  multiple timepoints  sequential  
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2020, 卷号: 56, 期号: 2, 页码: 11
作者:  Wang, Shuo;  Zha, Yunfei;  Li, Weimin;  Wu, Qingxia;  Li, Xiaohu;  Niu, Meng;  Wang, Meiyun;  Qiu, Xiaoming;  Li, Hongjun;  Yu, He;  Gong, Wei;  Bai, Yan;  Li, Li;  Zhu, Yongbei;  Wang, Liusu;  Tian, Jie
收藏  |  浏览/下载:197/0  |  提交时间:2020/09/21
Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer 期刊论文
JAMA NETWORK OPEN, 2020, 卷号: 3, 期号: 7, 页码: 13
作者:  Wu, Qingxia;  Wang, Shuo;  Zhang, Shuixing;  Wang, Meiyun;  Ding, Yingying;  Fang, Jin;  Qian, Wei;  Liu, Zhenyu;  Sun, Kai;  Jin, Yan;  Ma, He;  Tian, Jie
收藏  |  浏览/下载:247/0  |  提交时间:2020/09/07
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 16, 页码: 7231-7244
作者:  Wu, Qingxia;  Wang, Shuo;  Liang, Li;  Wu, Qingxia;  Qian, Wei;  Hu, Yahua;  Li, Li;  Zhou, Xuezhi;  Ma, He;  Li, Hongjun;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
收藏  |  浏览/下载:162/0  |  提交时间:2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome