CASIA OpenIR

浏览/检索结果: 共11条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122
作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi
浏览  |  Adobe PDF(1536Kb)  |  收藏  |  浏览/下载:175/68  |  提交时间:2021/02/22
Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.  
A deep learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study 期刊论文
Therapeutic Advances in Medical Oncology, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Zhang, Fan;  Zhong, Lianzhen;  Zhao, Xun;  Dong, Di;  Yao, Jijin;  Wang, Siyang;  Liu, Ye;  Zhu, Ding;  Wang, Yin;  Wang, Guojie;  Wang, Yiming;  Li, Dan;  Wei, Jiang;  Tian, Jie;  Shan, Hong
浏览  |  Adobe PDF(193Kb)  |  收藏  |  浏览/下载:303/64  |  提交时间:2020/10/25
nasopharyngeal carcinoma  
A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0 期刊论文
Radiotherapy and Oncology, 2020, 卷号: 151, 期号: 1, 页码: 1-9
作者:  Zhong, Lianzhen;  Fang, Xueliang;  Dong, Di;  Peng, Hao;  Fang, Mengjie;  Huang, Chenglong;  He, Bingxi;  Lin, Li;  Ma, Jun;  Tang, Linglong;  Tian, Jie
浏览  |  Adobe PDF(8171Kb)  |  收藏  |  浏览/下载:213/81  |  提交时间:2020/10/25
nasopharyngeal carcinoma  
基于特征学习和融合的 RGB-D 场景理解 学位论文
, 中国科学院自动化研究所智能化大厦1610: 中国科学院自动化研究所, 2020
作者:  李亚蓓
Adobe PDF(10465Kb)  |  收藏  |  浏览/下载:442/18  |  提交时间:2020/07/16
RGB-D  3D点云  场景分类  场景语义分割  
Computational Bioinformatics and Machine Learning Models to Identify the Diseasome and Neurological Disease Comorbidities 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
作者:  Md Habibur Rahman
Adobe PDF(12630Kb)  |  收藏  |  浏览/下载:287/2  |  提交时间:2020/07/15
疾病共病鉴定  生存分析  生物信息学  机器学习  2 型糖尿病  神经系统疾病  胶质母细胞瘤  通路  基因本体  蛋白质  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
作者:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载:359/88  |  提交时间:2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
基于神经科学文献感兴趣片段的跨物种脑认知知识图谱自动构建 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2020
作者:  朱洪银
Adobe PDF(8378Kb)  |  收藏  |  浏览/下载:383/7  |  提交时间:2020/06/19
脑科学  跨物种  神经信息学  知识图谱  知识引擎  感兴趣片段  语料标注  术语识别  关系抽取  深度学习  
Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model 期刊论文
https://www.frontiersin.org/articles/10.3389/fnhum.2020.00128/full, 2020, 卷号: 14, 期号: 1, 页码: 128
作者:  Zhu, Hongyin;  Zeng, Yi;  Wang, Dongsheng;  Huangfu, Cunqing
浏览  |  Adobe PDF(2089Kb)  |  收藏  |  浏览/下载:308/78  |  提交时间:2020/06/16
brain science  neuroscience  PubMed  
A neuroimaging biomarker for striatal dysfunction in schizophrenia 期刊论文
NATURE MEDICINE, 2020, 卷号: 26, 期号: 26, 页码: 27
作者:  Li, Ang;  Zalesky, Andrew;  Yue, Weihua;  Howes, Oliver;  Yan, Hao;  Liu, Yong;  Fan, Lingzhong;  Whitaker, Kirstie J.;  Xu, Kaibin;  Rao, Guangxiang;  Li, Jin;  Liu, Shu;  Wang, Meng;  Sun, Yuqing;  Song, Ming;  Li, Peng;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Liu, Wenming;  Li, Zhigang;  Yang, Yongfeng;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Lu, Lin;  Yan, Jun;  Song, Yuqing;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Du, Yuhui;  Cheng, Yuqi;  Xu, Jian;  Xu, Xiufeng;  Zhang, Dai;  Wang, Xiaoqun;  Jiang, Tianzi;  Liu, Bing
浏览  |  Adobe PDF(5512Kb)  |  收藏  |  浏览/下载:566/164  |  提交时间:2020/06/02
TREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK  
A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 卷号: 17, 期号: 3, 页码: 25
作者:  Rahman, Md Habibur;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Rahman, Md Rezanur;  Uddin, Shahadat;  Quinn, Julian M. W.;  Moni, Mohammad Ali
浏览  |  Adobe PDF(2713Kb)  |  收藏  |  浏览/下载:462/94  |  提交时间:2020/04/07
bioinformatics  computational biology  gene ontology  protein  pathways  type 2 diabetes  neurological disease