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A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：228/52  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：263/43  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：282/50  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
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：193/0  |  提交时间：2020/09/21
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：411/111  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
Alterations in regional homogeneity of resting-state cerebral activity in patients with chronic prostatitis/chronic pelvic pain syndrome 期刊论文
PLOS ONE, 2017, 卷号: 12, 期号: 9
作者:  Lin, Yusong;  Bai, Yan;  Liu, Peng;  Yang, Xuejuan;  Qin, Wei;  Gu, Jianqin;  Ding, Degang;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：266/0  |  提交时间：2018/03/03
Noninvasive amide proton transfer magnetic resonance imaging in evaluating the grading and cellularity of gliomas 期刊论文
ONCOTARGET, 2017, 卷号: 8, 期号: 4, 页码: 5834-5842
作者:  Bai, Yan;  Lin, Yusong;  Zhang, Wei;  Kong, Lingfei;  Wang, Lifu;  Zuo, Panli;  Vallines, Ignacio;  Schmitt, Benjamin;  Tian, Jie;  Song, Xiaolei;  Zhou, Jinyuan;  Wang, Meiyun
收藏  |  浏览/下载：168/0  |  提交时间：2017/05/05
Amide Proton Transfer  Glioma  Grading  Ki-67  Magnetic Resonance Imaging  
Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging 期刊论文
RADIOLOGY, 2016, 卷号: 278, 期号: 2, 页码: 496-504
作者:  Bai, Yan;  Lin, Yusong;  Tian, Jie;  Shi, Dapeng;  Cheng, Jingliang;  Haacke, E. Mark;  Hong, Xiaohua;  Ma, Bo;  Zhou, Jinyuan;  Wang, Meiyun
Adobe PDF(1640Kb)  |  收藏  |  浏览/下载：323/107  |  提交时间：2016/09/30
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Susceptibility Weighted Imaging: A New Tool in the Diagnosis of Prostate Cancer and Detection of Prostatic Calcification 期刊论文
PLOS ONE, 2013, 卷号: 8, 期号: 1, 页码: -
作者:  Bai, Yan;  Wang, Mei-Yun;  Han, Yan-Hong;  Dou, She-Wei;  Lin, Qing;  Guo, Ying;  Li, Wei;  Ding, De-Gang;  Dai, Jian-Ping;  Qin, Wei;  Shi, Da-Peng;  Tian, Jie;  Dai, Yong-Ming
浏览  |  Adobe PDF(5050Kb)  |  收藏  |  浏览/下载：312/32  |  提交时间：2015/08/12
Detection Of Prostatic