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Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRI
期刊论文
LIVER INTERNATIONAL, 2022, 页码: 15
Authors:
Jiang, Hanyu
;
Wei, Jingwei
;
Fu, Fangfang
;
Wei, Hong
;
Qin, Yun
;
Duan, Ting
;
Chen, Weixia
;
Xie, Kunlin
;
Lee, Jeong Min
;
Bashir, Mustafa R.
;
Wang, Meiyun
;
Song, Bin
;
Tian, Jie
Favorite
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View/Download:15/0
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Submit date:2022/06/06
diagnosis
gadoxetate disodium-enhanced MRI
hepatocellular carcinoma
microvascular invasion
survival
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
Authors:
Zhu, Yongbei
;
Wang, Shuo
;
Wang, Siwen
;
Wu, Qingxia
;
Wang, Liusu
;
Li, Hongjun
;
Wang, Meiyun
;
Niu, Meng
;
Zha, Yunfei
;
Tian, Jie
Adobe PDF(3534Kb)
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Submit date:2021/12/28
Coronavirus disease 2019 (COVID-19)
contrastive learning
computed tomography
mixup
prognosis
Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study
期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
Authors:
Wei, Jingwei
;
Jiang, Hanyu
;
Zeng, Mengsu
;
Wang, Meiyun
;
Niu, Meng
;
Gu, Dongsheng
;
Chong, Huanhuan
;
Zhang, Yanyan
;
Fu, Fangfang
;
Zhou, Mu
;
Chen, Jie
;
Lyv, Fudong
;
Wei, Hong
;
Bashir, Mustafa R.
;
Song, Bin
;
Li, Hongjun
;
Tian, Jie
Adobe PDF(2568Kb)
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View/Download:84/4
  |  
Submit date:2021/06/15
hepatocellular carcinoma
microvascular invasion
magnetic resonance imaging
computed tomography
deep learning
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
Authors:
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)
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View/Download:29/0
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Submit date:2021/11/02
COVID-19
deep learning
radiomics
prognosis
computed tomography
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
Authors:
Meng, Lingwei
;
Dong, Di
;
Li, Liang
;
Niu, Meng
;
Bai, Yan
;
Wang, Meiyun
;
Qiu, Xiaoming
;
Zha, Yunfei
;
Tian, Jie
Adobe PDF(4120Kb)
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View/Download:75/4
  |  
Submit date:2021/03/02
COVID-19
Computed tomography
Lung
Hospitals
Biomedical imaging
Training
Coronavirus disease 2019 (COVID-19)
prognosis
computed tomography
deep learning
artificial intelligence
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
Authors:
Li, Cong
;
Dong, Di
;
Li, Liang
;
Gong, Wei
;
Li, Xiaohu
;
Bai, Yan
;
Wang, Meiyun
;
Hu, Zhenhua
;
Zha, Yunfei
;
Tian, Jie
Adobe PDF(2325Kb)
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View/Download:87/3
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Submit date:2021/03/02
COVID-19
radiomics
deep learning
computed tomography (CT)
DEEP LEARNING RADIOMICS FOR PREOPERATIVE PREDICTION OF MICROVASCULAR INVASION IN HEPATOCELLULAR CARCINOMA: A MULTICENTER AND PROSPECTIVE VALIDATION STUDY
期刊论文
HEPATOLOGY, 2020, 卷号: 72, 页码: 677A-678A
Authors:
Wei, Jingwei
;
Jiang, Hanyu
;
Gu, Dongsheng
;
Zeng, Mengsu
;
Wang, Meiyun
;
Song, Bin
;
Tian, Jie
Favorite
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View/Download:26/0
  |  
Submit date:2021/01/07
Preoperative Prediction of Ancillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence
期刊论文
ACADEMIC RADIOLOGY, 2020, 卷号: 27, 期号: 9, 页码: 1217-1225
Authors:
Tan, Hongna
;
Gan, Fuwen
;
Wu, Yaping
;
Zhou, Jing
;
Tian, Jie
;
Lin, Yusong
;
Wang, Meiyun
Favorite
  |  
View/Download:54/0
  |  
Submit date:2020/12/04
Breast cancer
Axillary lymph node
Metastasis
MRI
Radiomics
Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer
期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
Authors:
Liu, Zhenyu
;
Meng, Xiaochun
;
Zhang, Hongmei
;
Li, Zhenhui
;
Liu, Jiangang
;
Sun, Kai
;
Meng, Yankai
;
Dai, Weixing
;
Xie, Peiyi
;
Ding, Yingying
;
Wang, Meiyun
;
Cai, Guoxiang
;
Tian, Jie
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View/Download:38/0
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Submit date:2021/01/07
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
Authors:
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
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  |  
Submit date:2020/09/21