CASIA OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 10, 页码: 2570-2581
作者:  Xiao, Anqi;  Shen, Biluo;  Shi, Xiaojing;  Zhang, Zhe;  Zhang, Zeyu;  Tian, Jie;  Ji, Nan;  Hu, Zhenhua
收藏  |  浏览/下载:258/0  |  提交时间:2022/11/14
Imaging  Computer architecture  Fluorescence  Feature extraction  Surgery  Biomedical imaging  Medical diagnostic imaging  Deep learning  glioma grading  intraoperative imaging  multi-modal imaging  neural architecture search  NIR-II fluorescence imaging  
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules 期刊论文
Information Sciences, 2022, 卷号: 610, 页码: 1-13
作者:  Zhao, Dongcheng;  Li, Yang;  Zeng, Yi;  Wang, Jihang;  Zhang, Qian
Adobe PDF(3233Kb)  |  收藏  |  浏览/下载:218/10  |  提交时间:2022/11/14
Spiking Neural Network  Capsual Neural Netowrk  Biologically Plausible Routing  Noise Robustness  Affine Transformation Robustness  
A novel weighted auxiliary set matching pursuit method for glioma in Cerenkov luminescence tomography reconstruction 期刊论文
JOURNAL OF BIOPHOTONICS, 2022, 页码: 11
作者:  Guo, Lishuang;  Cai, Meishan;  Zhang, Xiaoning;  Zhang, Zeyu;  Shi, Xiaojing;  Zhang, Xiaojun;  Liu, Jiangang;  Hu, Zhenhua;  Tian, Jie
收藏  |  浏览/下载:293/0  |  提交时间:2022/09/19
Cerenkov luminescence tomography  glioma  matching pursuit  
Consistent brain structural abnormalities and multisite individualised classification of schizophrenia using deep neural networks 期刊论文
BRITISH JOURNAL OF PSYCHIATRY, 2022, 页码: 8
作者:  Cui, Yue;  Li, Chao;  Liu, Bing;  Sui, Jing;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Lv, Luxian;  Ning, Yuping;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Wu, Huawang;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
Adobe PDF(644Kb)  |  收藏  |  浏览/下载:321/11  |  提交时间:2022/06/06
Deep learning  grey matter  meta-analysis  multisite study  schizophrenia