×
验证码:
换一张
忘记密码?
记住我
切换中国科技网通行证登录
×
切换中国科技网通行证登录
登录
中文版
|
English
中国科学院自动化研究所机构知识库
Knowledge Commons of Institute of Automation,CAS
登录
注册
ALL
ORCID
题名
作者
导师
学科领域
关键词
资助项目
文献类型
出处
会议名称
收录类别
出版者
发表日期
存缴日期
学科门类
学习讨论厅
图片搜索
粘贴图片网址
首页
研究单元&专题
作者
文献类型
知识图谱
新闻&公告
在结果中检索
研究单元&专题
中国科学院分子影像重... [9]
多模态人工智能系统全... [5]
脑图谱与类脑智能实验... [1]
复杂系统管理与控制国... [1]
智能感知与计算研究中... [1]
作者
董迪 [8]
方梦捷 [5]
王飞跃 [3]
李瑾 [2]
王晓 [2]
蒋田仔 [2]
更多...
文献类型
期刊论文 [17]
发表日期
2022 [6]
2021 [4]
2020 [6]
2019 [1]
语种
英语 [17]
出处
AMERICAN J... [1]
BRAIN IMAG... [1]
EUROPEAN J... [1]
EUROPEAN J... [1]
EUROPEAN R... [1]
FRONTIERS ... [1]
更多...
资助项目
National N... [8]
National N... [8]
National N... [8]
Youth Inno... [8]
National K... [7]
National N... [7]
更多...
收录类别
SCI [17]
导师
资助机构
National ... [17]
National ... [12]
Youth Inno... [9]
Beijing Na... [6]
Strategic ... [4]
Project of... [3]
更多...
×
知识图谱
CASIA OpenIR
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共17条,第1-10条
帮助
限定条件
资助机构:National Key R&D Program of China
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
期刊影响因子升序
期刊影响因子降序
发表日期升序
发表日期降序
WOS被引频次升序
WOS被引频次降序
题名升序
题名降序
作者升序
作者降序
提交时间升序
提交时间降序
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk
期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:
He, Bing-Xi
;
Zhong, Yi-Fan
;
Zhu, Yong-Bei
;
Deng, Jia-Jun
;
Fang, Meng-Jie
;
She, Yun-Lang
;
Wang, Ting-Ting
;
Yang, Yang
;
Sun, Xi-Wen
;
Belluomini, Lorenzo
;
Watanabe, Satoshi
;
Dong, Di
;
Tian, Jie
;
Xie, Dong
Adobe PDF(3742Kb)
  |  
收藏
  |  
浏览/下载:328/39
  |  
提交时间:2022/06/10
Tumor biomarkers
immunotherapy
lung neoplasms
programmed cell death 1 receptor (PD-1 receptor)
biostatistics
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:
Zhao, Xun
;
Liang, Yu-Jing
;
Zhang, Xu
;
Wen, Dong-Xiang
;
Fan, Wei
;
Tang, Lin-Quan
;
Dong, Di
;
Tian, Jie
;
Mai, Hai-Qiang
Adobe PDF(1720Kb)
  |  
收藏
  |  
浏览/下载:317/45
  |  
提交时间:2022/06/10
Recurrent nasopharyngeal carcinoma
Survival analysis
Radiomics
Deep learning
HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 14
作者:
Yang, Linyao
;
Wang, Xiao
;
Zhang, Jun
;
Yang, Jun
;
Xu, Yancai
;
Hou, Jiachen
;
Xin, Kejun
;
Wang, Fei-Yue
Adobe PDF(4053Kb)
  |  
收藏
  |  
浏览/下载:289/46
  |  
提交时间:2022/03/17
Task analysis
Optimization
Generative adversarial networks
Computational modeling
Automation
Training
Standards
Embedding
generative adversarial network
network alignment (NA)
optimal transport
unsupervised learning
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer
期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:
Li, Cong
;
Qin, Yun
;
Zhang, Wei-Han
;
Jiang, Hanyu
;
Song, Bin
;
Bashir, Mustafa R.
;
Xu, Heng
;
Duan, Ting
;
Fang, Mengjie
;
Zhong, Lianzhen
;
Meng, Lingwei
;
Dong, Di
;
Hu, Zhenhua
;
Tian, Jie
;
Hu, Jian-Kun
Adobe PDF(1878Kb)
  |  
收藏
  |  
浏览/下载:395/85
  |  
提交时间:2022/03/17
chemotherapy
deep learning
diagnosis
signet-ring cell carcinoma
survival
Anterior-Posterior Hippocampal Dynamics Support Working Memory Processing
期刊论文
JOURNAL OF NEUROSCIENCE, 2022, 卷号: 42, 期号: 3, 页码: 443-453
作者:
Li, Jin
;
Cao, Dan
;
Dimakopoulos, Vasileios
;
Shi, Weiyang
;
Yu, Shan
;
Fan, Lingzhong
;
Stieglitz, Lennart
;
Imbach, Lukas
;
Sarnthein, Johannes
;
Jiang, Tianzi
Adobe PDF(1902Kb)
  |  
收藏
  |  
浏览/下载:286/55
  |  
提交时间:2022/03/17
hippocampus
intracranial EEG
longitudinal axis
working memory
SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning
期刊论文
NEUROCOMPUTING, 2022, 卷号: 467, 页码: 300-309
作者:
Li, Xiaoshuang
;
Wang, Xiao
;
Zheng, Xinhu
;
Jin, Junchen
;
Huang, Yanhao
;
Zhang, Jun Jason
;
Wang, Fei-Yue
Adobe PDF(1244Kb)
  |  
收藏
  |  
浏览/下载:298/67
  |  
提交时间:2021/12/28
Deep reinforcement learning
Behavioral cloning
Dynamic demonstration
Double DQN
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:279/49
  |  
提交时间:2021/12/28
Breast cancer
Deep learning
Neoadjuvant chemotherapy
Ultrasonography
Treatment outcome
IsGAN: Identity-sensitive generative adversarial network for face photo-sketch synthesis
期刊论文
PATTERN RECOGNITION, 2021, 卷号: 119, 页码: 13
作者:
Yan, Lan
;
Zheng, Wenbo
;
Gou, Chao
;
Wang, Fei-Yue
Adobe PDF(4465Kb)
  |  
收藏
  |  
浏览/下载:259/34
  |  
提交时间:2021/11/03
Face photo-sketch synthesis
Image-to-image translation
Generative adversarial networks
Convolutional neural network
Face recognition
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:
Zhang, Xinbang
;
Chang, Jianlong
;
Guo, Yiwen
;
Meng, Gaofeng
;
Xiang, Shiming
;
Lin, Zhouchen
;
Pan, Chunhong
Adobe PDF(1346Kb)
  |  
收藏
  |  
浏览/下载:305/50
  |  
提交时间:2021/11/02
Computer architecture
Search problems
Optimization
Task analysis
Bridges
Binary codes
Estimation
Neural architecture search(NAS)
ensemble gumbel-softmax
distribution guided sampling
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:
Meng, Lingwei
;
Dong, Di
;
Li, Liang
;
Niu, Meng
;
Bai, Yan
;
Wang, Meiyun
;
Qiu, Xiaoming
;
Zha, Yunfei
;
Tian, Jie
Adobe PDF(4120Kb)
  |  
收藏
  |  
浏览/下载:323/54
  |  
提交时间:2021/03/02
COVID-19
Computed tomography
Lung
Hospitals
Biomedical imaging
Training
Coronavirus disease 2019 (COVID-19)
prognosis
computed tomography
deep learning
artificial intelligence