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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：289/51  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载：201/41  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence  
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：242/0  |  提交时间：2020/06/02
Therapeutic chemoembolization  Hepatocellular carcinoma  Ultrasonography  Deep learning  
Deep Learning Based Classification for Metastasis of Hepatocellular Carcinoma with Microscopic Images 会议论文
, San Diego, USA, 2019.2.16-2019.2.21
作者:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(1743Kb)  |  收藏  |  浏览/下载：244/65  |  提交时间：2020/04/29
Hepatocellular Carcinoma Classification  Metastasis  Microscopic Imaging  Machine Learning  Convolutional Neural Networks (Cnn)  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(743Kb)  |  收藏  |  浏览/下载：549/160  |  提交时间：2019/04/30
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 期刊论文
CLINICAL CANCER RESEARCH, 2018, 卷号: 24, 期号: 15, 页码: 3583-3592
作者:  Song, Jiangdian;  Shi, Jingyun;  Dong, Di;  Fang, Mengjie;  Zhong, Wenzhao;  Wang, Kun;  Wu, Ning;  Huang, Yanqi;  Liu, Zhenyu;  Cheng, Yue;  Gan, Yuncui;  Zhou, Yongzhao;  Zhou, Ping;  Chen, Bojiang;  Liang, Changhong;  Liu, Zaiyi;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：421/94  |  提交时间：2018/10/10
EGFR-TKI therapy  
Optical Molecular Imaging Frontiers in Oncology: The Pursuit of Accuracy and Sensitivity 期刊论文
Engineering, 2015, 卷号: 1, 期号: 3, 页码: 309-323
作者:  Kun Wang;  Chongwei Chi;  Zhenhua Hu;  Muhan Liu;  Hui Hui;  Wenting Shang;  Dong Peng;  Shuang Zhang;  Jiezuo Ye;  Haixiao Liu;  Jie Tian
浏览  |  Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：223/43  |  提交时间：2018/01/02
Optical Molecular Imaging  Multimodality Molecular Imaging  Optical Multimodality Tomography  Ce Renkov luminesCenCe Imaging  Intraoperative Image-guided Surgery  
Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 卷号: 35, 期号: 1, 页码: 337-353
作者:  Song, Jiangdian;  Yang, Caiyun;  Fan, Li;  Wang, Kun;  Yang, Feng;  Liu, Shiyuan;  Tian, Jie;  Caiyun YANG, Shiyuan Liu, Jie Tian
浏览  |  Adobe PDF(6639Kb)  |  收藏  |  浏览/下载：475/174  |  提交时间：2016/03/19
Back-off Mechanism  Computed Tomography (Ct)  Lung Lesion Segmentation  Region Growing  Toboggan  
In vivo nanoparticle-mediated radiopharmaceutical-excited fluorescence molecular imaging 期刊论文
NATURE COMMUNICATIONS, 2015, 卷号: 6, 期号: -, 页码: -
作者:  Hu, Zhenhua;  Qu, Yawei;  Wang, Kun;  Zhang, Xiaojun;  Zha, Jiali;  Song, Tianming;  Bao, Chengpeng;  Liu, Haixiao;  Wang, Zhongliang;  Wang, Jing;  Liu, Zhongyu;  Liu, Haifeng;  Tian, Jie
浏览  |  Adobe PDF(2525Kb)  |  收藏  |  浏览/下载：396/83  |  提交时间：2015/09/17
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