CASIA OpenIR

浏览/检索结果: 共22条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Enhanced TfR1 Recognition of Myocardial Injury after Acute Myocardial Infarction with Cardiac Fibrosis via Pre-Degrading Excess Fibrotic Collagen 期刊论文
biology, 2024, 卷号: 13, 期号: 4, 页码: 213
作者:  Wenwen Yang;  Yueqi Wang;  Hongzheng Li;  Feifei Liao;  Yuxuan Peng;  Aimei Lu;  Ling Tan;  Hua Qu;  Linzi Long;  Changgeng Fu
Adobe PDF(4259Kb)  |  收藏  |  浏览/下载:10/6  |  提交时间:2024/06/03
myocardial infarction  human serum albumin  collagenase I  transferrin receptor 1  near-infrared fluorescence imaging  
Elucidating Iron Metabolism through Molecular Imaging 期刊论文
CURRENT ISSUES IN MOLECULAR BIOLOGY, 2024, 卷号: 46, 期号: 4, 页码: 2798-2818
作者:  Liao, Feifei;  Yang, Wenwen;  Long, Linzi;  Yu, Ruotong;  Qu, Hua;  Peng, Yuxuan;  Lu, Jieming;  Ren, Chenghuan;  Wang, Yueqi;  Fu, Changgeng
Adobe PDF(4011Kb)  |  收藏  |  浏览/下载:22/3  |  提交时间:2024/05/30
iron metabolism  molecular mechanism  molecular imaging technology  visualization  iron homeostasis  
Dual-stream Representation Fusion Learning for accurate medical image segmentation 期刊论文
Engineering Applications of Artificial Intelligence, 2023, 卷号: 123, 页码: 106402
作者:  Xu RT(许镕涛);  Wang CW(王常维);  Xu SB(徐士彪);  Meng WL(孟维亮);  Zhang XP(张晓鹏)
Adobe PDF(1893Kb)  |  收藏  |  浏览/下载:240/58  |  提交时间:2023/05/18
Self-Paced Balance Learning for Clinical Skin Disease Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 2832-2846
作者:  Yang, Jufeng;  Wu, Xiaoping;  Liang, Jie;  Sun, Xiaoxiao;  Cheng, Ming-Ming;  Rosin, Paul L.;  Wang, Liang
收藏  |  浏览/下载:240/0  |  提交时间:2020/09/07
Diseases  Skin  Complexity theory  Training  Task analysis  Image recognition  Learning systems  Class imbalance  clinical skin disease recognition  complexity level  self-paced balance learning (SPBL)  
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:501/94  |  提交时间:2020/03/30
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:364/60  |  提交时间:2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
无权访问的条目 期刊论文
作者:  Zhou XH(周小虎);  Bian GB(边桂彬);  Xie XL(谢晓亮);  Hou ZG(侯增广)
Adobe PDF(2685Kb)  |  收藏  |  浏览/下载:60/15  |  提交时间:2019/06/28
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(743Kb)  |  收藏  |  浏览/下载:547/159  |  提交时间:2019/04/30
MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder 期刊论文
BRAIN, 2018, 卷号: 141, 期号: 3, 页码: 916-926
作者:  Qi, Shile;  Yang, Xiao;  Zhao, Liansheng;  Calhoun, Vince D.;  Perrone-Bizzozero, Nora;  Liu, Shengfeng;  Jiang, Rongtao;  Jiang, Tianzi;  Sui, Jing;  Ma, Xiaohong
浏览  |  Adobe PDF(1019Kb)  |  收藏  |  浏览/下载:424/114  |  提交时间:2018/03/08
Major Depressive Disorder  Microrna132  Supervised Multimodal Fusion  Fronto-limbic Network  Unmedicated  
Mitochondrial complex I activity suppresses inflammation and enhances bone resorption by shifting macrophage-osteoclast polarization 期刊论文
Cell Metabolism, 2014, 卷号: 20, 期号: 3, 页码: 483
作者:  Jin Z;  Wei W;  Yang M;  Du Y(杜洋);  Wan Y
浏览  |  Adobe PDF(1868Kb)  |  收藏  |  浏览/下载:290/134  |  提交时间:2018/02/11
Ndufs4  Mitochondrial Complex i Deficiency