CASIA OpenIR

浏览/检索结果: 共19条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Mobility in China, 2020: a tale of four phases 期刊论文
NATIONAL SCIENCE REVIEW, 2021, 卷号: 8, 期号: 11, 页码: 11
作者:  Tan, Suoyi;  Lai, Shengjie;  Fang, Fan;  Cao, Ziqiang;  Sai, Bin;  Song, Bing;  Dai, Bitao;  Guo, Shuhui;  Liu, Chuchu;  Cai, Mengsi;  Wang, Tong;  Wang, Mengning;  Li, Jiaxu;  Chen, Saran;  Qin, Shuo;  Floyd, Jessica R.;  Cao, Zhidong;  Tan, Jing;  Sun, Xin;  Zhou, Tao;  Zhang, Wei;  Tatem, Andrew J.;  Holme, Petter;  Chen, Xiaohong;  Lu, Xin
收藏  |  浏览/下载:261/0  |  提交时间:2022/02/16
human mobility  travel restrictions  COVID-19  mobile phone data  behavioral response  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载:287/55  |  提交时间:2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载:260/46  |  提交时间:2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients 期刊论文
NPJ PRECISION ONCOLOGY, 2021, 卷号: 5, 期号: 1, 页码: 9
作者:  Yan, Jing;  Zhang, Bin;  Zhang, Shuaitong;  Cheng, Jingliang;  Liu, Xianzhi;  Wang, Weiwei;  Dong, Yuhao;  Zhang, Lu;  Mo, Xiaokai;  Chen, Qiuying;  Fang, Jin;  Wang, Fei;  Tian, Jie;  Zhang, Shuixing;  Zhang, Zhenyu
收藏  |  浏览/下载:208/0  |  提交时间:2021/11/02
ATTENTION-GUIDED KNOWLEDGE DISTILLATION FOR EFFICIENT SINGLE-STAGE DETECTOR 会议论文
, Online, 2021-7-5
作者:  Wang, Tong;  Zhu, Yousong;  Zhao, Chaoyang;  Zhao, Xu;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(574Kb)  |  收藏  |  浏览/下载:236/61  |  提交时间:2022/04/01
Adaptive Class Suppression Loss for Long-Tail Object Detection 会议论文
, Online, 2021-6-19
作者:  Wang, Tong;  Zhu, Yousong;  Zhao, Chaoyang;  Zeng, Wei;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(2668Kb)  |  收藏  |  浏览/下载:239/64  |  提交时间:2022/04/01
面向数字图像的对抗攻击与防御算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
作者:  王雨桐
Adobe PDF(8781Kb)  |  收藏  |  浏览/下载:279/15  |  提交时间:2021/06/15
对抗样本  对抗攻击  防御  对抗训练  神经网络  
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong 期刊论文
NPJ DIGITAL MEDICINE, 2021, 卷号: 4, 期号: 1, 页码: 9
作者:  Zhou, Jiandong;  Lee, Sharen;  Wang, Xiansong;  Li, Yi;  Wu, William Ka Kei;  Liu, Tong;  Cao, Zhidong;  Zeng, Daniel Dajun;  Leung, Keith Sai Kit;  Wai, Abraham Ka Chung;  Wong, Ian Chi Kei;  Cheung, Bernard Man Yung;  Zhang, Qingpeng;  Tse, Gary
收藏  |  浏览/下载:209/0  |  提交时间:2021/05/17
Smart Self-Assembly Amphiphilic Cyclopeptide-Dye for Near-Infrared Window-II Imaging 期刊论文
ADVANCED MATERIALS, 2021, 页码: 13
作者:  Chen, Hao;  Shou, Kangquan;  Chen, Si;  Qu, Chunrong;  Wang, Zhiming;  Jiang, Lei;  Zhu, Mark;  Ding, Bingbing;  Qian, Kun;  Ji, Aiyan;  Lou, Hongyue;  Tong, Ling;  Hsu, Alexander;  Wang, Yuebing;  Felsher, Dean W.;  Hu, Zhenhua;  Tian, Jie;  Cheng, Zhen
收藏  |  浏览/下载:240/0  |  提交时间:2021/04/06
fluorescence‐  imaging‐  guided tumor surgery  NIR‐  II fluorescence imaging  pH‐  responsive materials  self‐  assembly  tumor imaging  
A loss-balanced multi-task model for simultaneous detection and segmentation 期刊论文
NEUROCOMPUTING, 2021, 卷号: 428, 页码: 65-78
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Wang, Yutong;  Yan, Lan;  Wang, Fei-Yue
收藏  |  浏览/下载:244/0  |  提交时间:2021/03/15
Object detection  Semantic segmentation  Multi-task learning  Scene understanding