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Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis 期刊论文
EUROPEAN RADIOLOGY, 2022, 页码: 11
作者:  Zhao, Qin-xian;  He, Xue-lei;  Wang, Kun;  Cheng, Zhi-gang;  Han, Zhi-yu;  Liu, Fang-yi;  Yu, Xiao-ling;  Hui, Zhong;  Yu, Jie;  Chao, An;  Liang, Ping
收藏  |  浏览/下载：125/0  |  提交时间：2023/03/20
Thermal ablation  Colorectal neoplasms  Ultrasound  Deep learning  Recurrence  
A deep learning radiomics analysis for identifying sinus invasion in patients with meningioma before operation using tumor and peritumoral regions 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2022, 卷号: 149, 页码: 7
作者:  Sun, Kai;  Zhang, Jing;  Liu, Zhenyu;  Qiu, Qi;  Gao, Han;  Liu, Panpan;  Chen, Kuntao;  Wei, Wei;  Wang, Liang;  Zhang, Junting;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：193/0  |  提交时间：2022/06/10
Sinus invasion  Meningioma  ResNet50  Peritumoral  Preoperative identification  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：262/46  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2021, 卷号: 142, 页码: 8
作者:  Wei, Shengcai;  Han, Yuqi;  Zeng, Hanjiang;  Ye, Shuai;  Cheng, Jin;  Chai, Fan;  Wei, Jingwei;  Zhang, Jianwei;  Hong, Nan;  Bao, Yudi;  Zhou, Jing;  Ye, Yingjiang;  Meng, Xiaochun;  Zhou, Yuwen;  Deng, Yanhong;  Qiu, Meng;  Tian, Jie;  Wang, Yi
收藏  |  浏览/下载：240/0  |  提交时间：2021/11/03
Histopathologic growth pattern  Colorectal liver metastases  Unresectable  Radiomics  Bevacizumab  
Comparing radiomics models with different inputs for accurate diagnosis of significant fibrosis in chronic liver disease 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 12
作者:  Lu, Xue;  Zhou, Hui;  Wang, Kun;  Jin, Jieyang;  Meng, Fankun;  Mu, Xiaojie;  Li, Shuoyang;  Zheng, Rongqin;  Tian, Jie
收藏  |  浏览/下载：256/0  |  提交时间：2021/06/07
Liver disease  Hepatic cirrhosis  Elasticity imaging techniques  Deep learning  
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
作者:  Zhou, Hongyu;  Li, Lu;  Liu, Zhenyu;  Zhao, Kankan;  Chen, Xiuyu;  Lu, Minjie;  Yin, Gang;  Song, Lei;  Zhao, Shihua;  Zheng, Hairong;  Tian, Jie
收藏  |  浏览/下载：227/0  |  提交时间：2021/01/06
Cardiomyopathy  hypertrophic  Genotype  Deep learning  Magnetic resonance imaging  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：281/50  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：288/45  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：322/60  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 4, 页码: 2365-2376
作者:  Liu, Dan;  Liu, Fei;  Xie, Xiaoyan;  Su, Liya;  Liu, Ming;  Xie, Xiaohua;  Kuang, Ming;  Huang, Guangliang;  Wang, Yuqi;  Zhou, Hui;  Wang, Kun;  Lin, Manxia;  Tian, Jie
收藏  |  浏览/下载：221/0  |  提交时间：2020/06/02
Therapeutic chemoembolization  Hepatocellular carcinoma  Ultrasonography  Deep learning