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graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography 会议论文
, 美国, 2022-2
作者:  Wang Y(王宇);  Bian C(边畅);  Du Y(杜洋);  Tian J(田捷)
Adobe PDF(625Kb)  |  收藏  |  浏览/下载：217/65  |  提交时间：2022/06/14
Fluorescence molecular tomography  Graph convolution network  
Robust sparse reconstruction for Cherenkov luminescence tomography based on look ahead orthogonal matching pursuit algorithm 会议论文
, San Francisco, California, United States, 2019
作者:  Meishan Cai;  Zeyu Zhang;  Zhenhua Hu;  Jie Tian
Adobe PDF(573Kb)  |  收藏  |  浏览/下载：169/50  |  提交时间：2021/06/17
Gaussian weighted block sparse Bayesian learning strategy based on K-means clustering algorithm for accurate bioluminescence tomography in glioma 会议论文
, 线上, 2021.2.15-2021.2.19
作者:  Yin, Lin;  Wang, Kun;  Tian, Jie
Adobe PDF(6162Kb)  |  收藏  |  浏览/下载：181/15  |  提交时间：2021/05/31
The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit method 会议论文
, Houston, USA, 2020-2-16
作者:  Lingxin Kong;  Yu An;  Yang Du;  Jie Tian
浏览  |  Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：276/68  |  提交时间：2020/06/15
Radiomics analysis potentially reduces over-diagnosis of prostate cancer with PSA levels of 4-10 ng/ml based on DWI data 会议论文
, San Diego, California, United States, 2019-3-13
作者:  Zhang, Shuaitong;  Qi, Yafei;  Wei, Jingwei;  Niu, Jianxing;  Gu, Dongsheng;  Han, Yuqi;  Hao, Xiaohan;  Zang, Yali;  Tian, Jie
浏览  |  Adobe PDF(796Kb)  |  收藏  |  浏览/下载：313/106  |  提交时间：2020/06/11
Prostate specific antigen  Prostate cancer  Over-diagnosis  Radiomics  Random forest  
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：253/69  |  提交时间：2020/04/29
Hepatocellular Carcinoma Classification  Metastasis  Microscopic Imaging  Machine Learning  Convolutional Neural Networks (Cnn)  
Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication 会议论文
, 美国圣地亚哥, 2019年2月20日
作者:  Wei Jingwei;  Fu Sirui;  Zhang Shuaitong;  Zhang Jie;  Gu Dongsheng;  Li Xiaoqun;  Chen Xudong;  He Xiaofeng;  Yan Jianfeng;  Lu Ligong;  Tian Jie
浏览  |  Adobe PDF(303Kb)  |  收藏  |  浏览/下载：319/89  |  提交时间：2019/05/08
hepatocellular carcinoma  macrovascular invasion  prognosis  computed tomography  radiomics  prediction  
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;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(540Kb)  |  收藏  |  浏览/下载：440/104  |  提交时间：2019/04/30
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(797Kb)  |  收藏  |  浏览/下载：443/132  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
Prediction of Malignant and Benign of Lung Tumor using a Quantitative Radiomic Method 会议论文
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida USA, 2016-8
作者:  Wang, Jun;  Liu, Xia;  Dong, Di;  Song, Jiangdian;  Xu, Min;  Zang, Yali;  Tian, Jie;  Tian Jie
浏览  |  Adobe PDF(272Kb)  |  收藏  |  浏览/下载：497/237  |  提交时间：2016/10/28
Radiomics