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Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network 会议论文
, Online, June 6–11, 2021
作者:  Wu HR(吴浩然);  Chen W(陈炜);  Xu S(徐爽);  Xu B(徐波)
Adobe PDF(1394Kb)  |  收藏  |  浏览/下载：141/52  |  提交时间：2023/06/26
Acupoint Detection Based on Deep Convolutional Neural Network 会议论文
, Shenyang, China, 27-29 July 2020
作者:  Lingyao,Sun;  Shiying,Sun;  Yuanbo,Fu;  Xiaoguang,Zhao
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载：235/67  |  提交时间：2021/06/29
convolutional neural network  deep learning  acupoint detection  convolutional pose machine  
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：243/94  |  提交时间：2020/06/11
Prostate specific antigen  Prostate cancer  Over-diagnosis  Radiomics  Random forest  
Using multi-task learning to improve diagnostic performance of convolutional neural networks 会议论文
, San Diego, California, USA, 2019-2
作者:  Fang, Mengjie;  Dong, Di;  Sun, Ruijia;  Fan, Li;  Sun, Yingshi;  Liu, Shiyuan;  Tian, Jie
Adobe PDF(299Kb)  |  收藏  |  浏览/下载：101/34  |  提交时间：2022/06/14
Molecular imaging in tumor angiogenesis and relevant drug research 期刊论文
International Journal of Biomedical Imaging, 2011, 卷号: 2011, 期号: 2011, 页码: -
作者:  Tian, Jie;  Ma, Xibo;  Yang, Xin;  Qin, Chenghu
Adobe PDF(2557Kb)  |  收藏  |  浏览/下载：173/54  |  提交时间：2015/08/12
Tumor Angiogenesis  
Differential neural responses to acupuncture revealed by MEG using wavelet-based time-frequency analysis: A pilot study 会议论文
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Cancun,mexico, 2011
作者:  You, Youbo;  Bai, Lijun;  Dai, Ruwei;  Xue, Ting;  Zhong, Chongguang;  Feng, Yuanyuan;  Wang, Hu;  Liu, Zhenyu;  Tian, Jie
Adobe PDF(573Kb)  |  收藏  |  浏览/下载：345/105  |  提交时间：2015/08/19
Neural Responses  Wavelet-based  Time-frequency Analysis