CASIA OpenIR

浏览/检索结果: 共30条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Automated detection of hippocampal sclerosis using clinically empirical and radiomics features 期刊论文
EPILEPSIA, 2019, 卷号: 60, 期号: 12, 页码: 2519-2529
作者:  Mo, Jiajie;  Liu, Zhenyu;  Sun, Kai;  Ma, Yanshan;  Hu, Wenhan;  Zhang, Chao;  Wang, Yao;  Wang, Xiu;  Liu, Chang;  Zhao, Baotian;  Zhang, Kai;  Zhang, Jianguo;  Tian, Jie
收藏  |  浏览/下载:223/0  |  提交时间:2020/08/03
clinical features  hippocampal sclerosis  MRI negative  radiomics  
ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 12, 页码: 2743-2758
作者:  Li, Da;  Zhang, Zhang;  Yu, Kai;  Huang, Kaiqi;  Tan, Tieniu
收藏  |  浏览/下载:283/0  |  提交时间:2020/03/30
Visualization  Surveillance  Task analysis  Streaming media  Computer architecture  Pipelines  Sparks  Intelligent surveillance system  big visual data  distributed system and parallel computing  
Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging 期刊论文
NEURORADIOLOGY, 2019, 卷号: 61, 期号: 11, 页码: 1229-1237
作者:  Li, Yiming;  Liang, Yuchao;  Sun, Zhiyan;  Xu, Kaibin;  Fan, Xing;  Li, Shaowu;  Zhang, Zhong;  Jiang, Tao;  Liu, Xing;  Wang, Yinyan
收藏  |  浏览/下载:241/0  |  提交时间:2020/03/30
Glioblastoma  Radiogenomics  Phosphatase and tensin homolog (PTEN)  Machine learning  
Radiogenomic analysis of vascular endothelial growth factor in patients with diffuse gliomas 期刊论文
CANCER IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 8
作者:  Sun, Zhiyan;  Li, Yiming;  Wang, Yinyan;  Fan, Xing;  Xu, Kaibin;  Wang, Kai;  Li, Shaowu;  Zhang, Zhong;  Jiang, Tao;  Liu, Xing
收藏  |  浏览/下载:198/0  |  提交时间:2020/03/30
Vascular endothelial growth factor  Diffuse gliomas  Radiomic analysis  Machine learning  
A neural circuit for comorbid depressive symptoms in chronic pain 期刊论文
NATURE NEUROSCIENCE, 2019, 卷号: 22, 期号: 10, 页码: 1649-+
作者:  Zhou, Wenjie;  Jin, Yan;  Meng, Qian;  Zhu, Xia;  Bai, Tongjian;  Tian, Yanghua;  Mao, Yu;  Wang, Likui;  Xie, Wen;  Zhong, Hui;  Zhang, Na;  Luo, Min-Hua;  Tao, Wenjuan;  Wang, Haitao;  Li, Jie;  Li, Juan;  Qiu, Ben-Sheng;  Zhou, Jiang-Ning;  Li, Xiangyao;  Xu, Han;  Wang, Kai;  Zhang, Xiaochu;  Liu, Yong;  Richter-Levin, Gal;  Xu, Lin;  Zhang, Zhi
收藏  |  浏览/下载:269/0  |  提交时间:2020/03/30
Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 5105-5120
作者:  Li, Debang;  Wu, Huikai;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(6588Kb)  |  收藏  |  浏览/下载:364/40  |  提交时间:2019/12/16
Reinforcement learning  adversarial learning  image cropping  
GP-GAN: Towards Realistic High-Resolution Image Blending 会议论文
, Nice, France, 21-25 October 2019
作者:  Wu, Huikai;  Zheng, Shuai;  Zhang, Junge;  Huang, Kaiqi
浏览  |  Adobe PDF(8723Kb)  |  收藏  |  浏览/下载:159/33  |  提交时间:2020/04/27
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction 会议论文
, Seoul, Korea (South), 27 Oct.-2 Nov. 2019
作者:  Wu, Huikai;  Zhang, Junge;  Huang, Kaiqi
浏览  |  Adobe PDF(402Kb)  |  收藏  |  浏览/下载:131/38  |  提交时间:2020/04/27
Semi-supervised Lesion Detection with Reliable Label Propagation and Missing Label Mining 会议论文
, 中国西安, 2019-11
作者:  Wang, Zhuo;  Li, Zihao;  Zhang, Shu;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(2214Kb)  |  收藏  |  浏览/下载:221/70  |  提交时间:2020/06/10
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载:381/63  |  提交时间:2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning