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Self-modeling Tracking Control of Crawler Fire Fighting Robot Based on Causal Network 会议论文
, 中国澳门, 2019年11月4日至8日
作者:  Chang WK(常文凯);  Li P(李朋);  Yang CY(杨彩云);  Lu T(鲁涛);  Cai YH(蔡莹皓);  Wang S(王硕)
浏览  |  Adobe PDF(5170Kb)  |  收藏  |  浏览/下载：232/53  |  提交时间：2020/10/21
First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows 期刊论文
NATURE BIOMEDICAL ENGINEERING, 2019, 卷号: 4, 期号: 3, 页码: 16
作者:  Hu, Zhenhua;  Fang, Cheng;  Li, Bo;  Zhang, Zeyu;  Cao, Caiguang;  Cai, Meishan;  Su, Song;  Sun, Xingwang;  Shi, Xiaojing;  Li, Cong;  Zhou, Tiejun;  Zhang, Yuanxue;  Chi, Chongwei;  He, Pan;  Xia, Xianming;  Chen, Yue;  Gambhir, Sanjiv Sam;  Cheng, Zhen;  Tian, Jie
Adobe PDF(2918Kb)  |  收藏  |  浏览/下载：488/92  |  提交时间：2020/03/30
Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 1265
作者:  Chen, Wujie;  Wang, Siwen;  Dong, Di;  Gao, Xuning;  Zhou, Kefeng;  Li, Jiaying;  Lv, Bin;  Li, Hailin;  Wu, Xiangjun;  Fang, Mengjie;  Tian, Jie;  Xu, Maosheng
Adobe PDF(1130Kb)  |  收藏  |  浏览/下载：380/47  |  提交时间：2020/03/30
lymph node metastasis  magnetic resonance imaging  diffusion-weighted imaging  advanced gastric cancer  radiomics  
A novel Cerenkov luminescence tomography approach using multilayer fully connected neural network 期刊论文
Physics in Medicine & Biology, 2019, 卷号: 64, 期号: 2019, 页码: 245010
作者:  Zhang,Zeyu;  Cai,Meishan;  Gao,Yuan;  Shi,Xiaojing;  Zhang,Xiaojun;  Hu,Zhenhua;  Tian,Jie
Adobe PDF(3210Kb)  |  收藏  |  浏览/下载：396/75  |  提交时间：2020/03/30
Cerenkov luminescence tomography (CLT)  optical reconstruction  photon propagation  neural network  inverse problem  
Preoperative Diagnosis of Regional Lymph Node Metastasis of Colorectal Cancer With Quantitative Parameters From Dual-Energy CT 期刊论文
AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 卷号: 213, 期号: 1, 页码: W17-W25
作者:  Yang, Zehong;  Zhang, Xiang;  Fang, Mengjie;  Li, Guolin;  Duan, Xiaohui;  Mao, Jiaji;  Shen, Jun
Adobe PDF(990Kb)  |  收藏  |  浏览/下载：350/54  |  提交时间：2019/12/16
colorectal neoplasm  diagnostic imaging  lymphadenopathy  MDCT  
Boosting Postsurgical Outcomes of Orthotopic Hepatocellular Carcinoma via an EpCAM-Targeting Theranostic Nanoparticle 期刊论文
PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION, 2019, 卷号: 36, 期号: 8, 页码: 12
作者:  Hu, Min;  Wang, Kun;  Shang, Wenting;  Han, Ziyu;  Jiang, Hongmei;  Fang, Chihua;  Tian, Jie
浏览  |  Adobe PDF(3376Kb)  |  收藏  |  浏览/下载：332/72  |  提交时间：2019/09/26
fluorescence-guided surgery  hepatocellular carcinoma  intraoperative photothermal therapy  triple-modality imaging  
Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2019, 卷号: 38, 期号: 12, 页码: 2726-2734
作者:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
浏览  |  Adobe PDF(2085Kb)  |  收藏  |  浏览/下载：295/75  |  提交时间：2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain  
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 5, 页码: 1361-1371
作者:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(5641Kb)  |  收藏  |  浏览/下载：527/123  |  提交时间：2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
无肿瘤区域引导的生物自发荧光断层成像重建算法研究 学位论文
, 北京: 中国科学院大学, 2019
作者:  高源
Adobe PDF(7003Kb)  |  收藏  |  浏览/下载：273/7  |  提交时间：2019/06/11
光学分子影像  生物自发荧光断层成像  高斯权重拉普拉斯正则先验  双边权重拉普拉斯正则先验  多层感知机重建模型  
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：366/147  |  提交时间：2019/04/29
Fluorescence Molecular Tomography, Ill-poseness, Deep Convolution Neural Network, Reconstruction.