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Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data 期刊论文
Photoacoustics, 2020, 卷号: 19, 期号: 19, 页码: 100190
作者:  Tong Tong;  Wenhui Huang;  Kun Wang;  Zicong He;  Lin Yin;  Xin Yang;  Shuixing Zhang;  Jie Tian
Adobe PDF(9199Kb)  |  收藏  |  浏览/下载：229/60  |  提交时间：2020/11/02
Deep learning  Photoacoustic tomography  Domain transformation  Medical image reconstruction  
Simple structural indocyanine green-loaded microbubbles for dual-modality imaging and multi-synergistic photothermal therapy in prostate cancer 期刊论文
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE, 2020, 卷号: 28, 页码: 11
作者:  Yin, Tinghui;  Wang, Kun;  Qiu, Chen;  Zhang, Xinling;  Zhou, Huichao;  You, Yujia;  Ren, Jie;  Mao, Ren;  Yang, Biying;  Miao, Xiaoyan;  Tian, Jie;  Zheng, Rongqin
收藏  |  浏览/下载：205/0  |  提交时间：2020/09/28
Indocyanine green  Microbubbles  Molecular ultrasound imaging  Photoacoustic imaging  Photothermal therapy  
MRI-Based Radiomics Signature: A Potential Biomarker for Identifying Glypican 3-Positive Hepatocellular Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 卷号: 52, 期号: 6, 页码: 1679-1687
作者:  Gu, Dongsheng;  Xie, Yongsheng;  Wei, Jingwei;  Li, Wencui;  Ye, Zhaoxiang;  Zhu, Zhongyuan;  Tian, Jie;  Li, Xubin
Adobe PDF(904Kb)  |  收藏  |  浏览/下载：256/45  |  提交时间：2020/07/20
glypican 3  hepatocellular carcinoma  radiomics  noninvasive  nomogram  
Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis 期刊论文
CEREBRAL CORTEX, 2020, 卷号: 30, 期号: 3, 页码: 1117-1128
作者:  Wang, Ying;  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Jia, Yanbin;  Zhong, Shuming;  Pan, Jiyang;  Huang, Li;  Tian, Jie
收藏  |  浏览/下载：208/0  |  提交时间：2020/06/22
bipolar disorder  machine learning  radiomics  resting-state functional magnetic resonance imaging  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
作者:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载：346/83  |  提交时间：2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
基于结构相关正交匹配追踪的激发荧光肝肿瘤重建研究 学位论文
, 自动化研究所: 中国科学院大学, 2020
作者:  孔令鑫
Adobe PDF(2986Kb)  |  收藏  |  浏览/下载：286/7  |  提交时间：2020/06/03
激发荧光断层成像  匹配追踪  组稀疏  斯密特正交化  
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 7, 页码: 8
作者:  Fang, Mengjie;  He, Bingxi;  Li, Li;  Dong, Di;  Yang, Xin;  Li, Cong;  Meng, Lingwei;  Zhong, Lianzhen;  Li, Hailin;  Li, Hongjun;  Tian, Jie
Adobe PDF(250Kb)  |  收藏  |  浏览/下载：426/60  |  提交时间：2020/06/02
coronavirus disease 2019  radiomics  pneumonia  diagnosis  
Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survival 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 125, 页码: 6
作者:  Fu, Jia;  Fang, Meng-jie;  Dong, Di;  Li, Jian;  Sun, Ying-shi;  Tian, Jie;  Tang, Lei
Adobe PDF(1543Kb)  |  收藏  |  浏览/下载：317/42  |  提交时间：2020/06/02
Gastrointestinal stromal tumor  Prognosis  Magnetic resonance imaging  Texture analysis  
Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
作者:  Li, Jing;  Dong, Di;  Fang, Mengjie;  Wang, Rui;  Tian, Jie;  Li, Hailiang;  Gao, Jianbo
Adobe PDF(1808Kb)  |  收藏  |  浏览/下载：347/53  |  提交时间：2020/03/30
Gastric cancer  Tomography  X-ray computed  Lymph node  Radiomics  Deep learning  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：369/61  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence