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Morphological Reconstruction of Fluorescence Molecular Tomography Based on Nonlocal Total Variation Regularization for Tracer Distribution in Glioma 会议论文
, San Francisco, USA, 2019.2.1-2019.2.6
作者:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(2618Kb)  |  收藏  |  浏览/下载:257/86  |  提交时间:2020/04/29
Fluorescence Molecular Tomography  Nonlocal Total Variation  Morphological Reconstruction  
Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 231-238
作者:  Lu, Wei;  Zhong, Lianzhen;  Dong, Di;  Fang, Mengjie;  Dai, Qi;  Leng, Shaoyi;  Zhang, Liwen;  Sun, Wei;  Tian, Jie;  Zheng, Jianjun;  Jin, Yinhua
Adobe PDF(781Kb)  |  收藏  |  浏览/下载:449/87  |  提交时间:2019/12/16
Forecasting  Thyroid neoplasms  Lymphatic metastasis  
Antitumorigenic and antiangiogenic efficacy of apatinib in liver cancer evaluated by multimodality molecular imaging 期刊论文
EXPERIMENTAL AND MOLECULAR MEDICINE, 2019, 卷号: 51, 页码: 11
作者:  Liang, Qian;  Kong, Lingxin;  Du, Yang;  Zhu, Xu;  Tian, Jie
Adobe PDF(2847Kb)  |  收藏  |  浏览/下载:507/115  |  提交时间:2019/12/16
Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959) 期刊论文
BMC Medicine, 2019, 卷号: 17, 期号: 1, 页码: 190
作者:  Dong,Di;  Zhang,Fan;  Zhong,Lian-Zhen;  Fang,Meng-Jie;  Huang,Cheng-Long;  Yao,Ji-Jin;  Sun,Ying;  Tian,Jie;  Ma,Jun;  Tang,Ling-Long
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Individualized imaging biomarker  Induction chemotherapy  Survival benefit  Treatment decision  Locoregionally advanced nasopharyngeal cancer  
Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
作者:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
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Fast and Robust Reconstruction Method for Fluorescence Molecular Tomography based on Deep Neural Network 会议论文
, The Moscone Center, San Francisco, California, USA, 2019-02-02
作者:  Huang C(黄超);  Meng Hui;  Yuan Gao;  Shixin Jiang;  Kun Wang;  Jie Tian
浏览  |  Adobe PDF(587Kb)  |  收藏  |  浏览/下载:391/154  |  提交时间:2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.