中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共10条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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：230/0  |  提交时间：2022/02/16
deep learning  ground-glass nodules  multiple timepoints  sequential  
Mix Contrast for COVID-19 Mild-to-Critical Prediction 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3725-3736
作者:  Zhu, Yongbei;  Wang, Shuo;  Wang, Siwen;  Wu, Qingxia;  Wang, Liusu;  Li, Hongjun;  Wang, Meiyun;  Niu, Meng;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3534Kb)  |  收藏  |  浏览/下载：250/45  |  提交时间：2021/12/28
Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis  
The potential indicators for pulmonary fibrosis in survivors of severe COVID-19 期刊论文
JOURNAL OF INFECTION, 2021, 卷号: 82, 期号: 2, 页码: E5-E7
作者:  Huang, Wenhui;  Wu, Qingxia;  Chen, Zhuozhi;  Xiong, Zhiyuan;  Wang, Kun;  Tian, Jie;  Zhang, Shuixing
收藏  |  浏览/下载：159/0  |  提交时间：2021/04/06
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：205/0  |  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：259/0  |  提交时间：2020/09/07
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study (vol 50, pg 355, 2019) 期刊论文
EBIOMEDICINE, 2020, 卷号: 55, 页码: 1
作者:  Wu, Qingxia;  Yao, Kuan;  Liu, Zhenyu;  Li, Longfei;  Zhao, Xin;  Wang, Shuo;  Shang, Honglei;  Lin, Yusong;  Wen, Zejun;  Zhang, Xiaoan;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：279/0  |  提交时间：2020/06/22
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：165/0  |  提交时间：2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome  
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study 期刊论文
EBIOMEDICINE, 2019, 卷号: 50, 页码: 355-365
作者:  Wu, Qingxia;  Yao, Kuan;  Liu, Zhenyu;  Li, Longfei;  Zhao, Xin;  Wang, Shuo;  Shang, Honglei;  Lin, Yusong;  Wen, Zejun;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：361/0  |  提交时间：2020/03/30
Radiomics  Placenta accreta spectrum  Postpartum haemorrhage  Estimated blood loss  Magnetic resonance imaging  
Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 138, 页码: 141-148
作者:  Wu, Qingxia;  Wang, Shuo;  Chen, Xi;  Wang, Yan;  Dong, Li;  Liu, Zhenyu;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：378/0  |  提交时间：2019/12/16
Radiomics  Cervical cancer  Lymph nodes  Magnetic resonance imaging  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(540Kb)  |  收藏  |  浏览/下载：385/91  |  提交时间：2019/04/30