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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
收藏  |  浏览/下载：33/0  |  提交时间：2022/02/16
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
收藏  |  浏览/下载：33/0  |  提交时间：2021/12/28
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
收藏  |  浏览/下载：23/0  |  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
收藏  |  浏览/下载：24/0  |  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
收藏  |  浏览/下载：32/0  |  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
收藏  |  浏览/下载：20/0  |  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
收藏  |  浏览/下载：27/0  |  提交时间：2020/08/03
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
收藏  |  浏览/下载：126/0  |  提交时间：2020/03/30
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
收藏  |  浏览/下载：52/0  |  提交时间：2019/12/16
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
收藏  |  浏览/下载：85/0  |  提交时间：2019/04/30

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