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科研机构
自动化研究所 [103]
内容类型
期刊论文 [79]
学位论文 [14]
会议论文 [10]
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2023 [7]
2022 [2]
2021 [5]
2020 [13]
2019 [16]
2018 [4]
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Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4660-4674
作者:
Huang, Ying
;
Guan, Hu
;
Liu, Jie
;
Zhang, Shuwu
;
Niu, Baoning
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/16
Adaptive
image watermarking
image texture
imperceptibility
robustness
A novel infrared spectral preprocessing method based on self-deconvolution and differentiation in the frequency domain
期刊论文
VIBRATIONAL SPECTROSCOPY, 2023, 卷号: 127, 页码: 11
作者:
Shan, Peng
;
Liu, Junyi
;
He, Zhonghai
;
Peng, Silong
;
Wang, Fei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
Spectral preprocessing
Quantitative analysis
Fourier transform Infrared spectroscopy
Functional specialization and interaction in the amygdala-hippocampus circuit during working memory processing
期刊论文
NATURE COMMUNICATIONS, 2023, 卷号: 14, 期号: 1, 页码: 11
作者:
Li, Jin
;
Cao, Dan
;
Yu, Shan
;
Xiao, Xinyu
;
Imbach, Lukas
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square
期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 292, 页码: 17
作者:
Shan, Peng
;
Bi, Yiming
;
Li, Zhigang
;
Wang, Qiaoyun
;
He, Zhonghai
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Model adaptation
Domain-invariant feature representation
Projected maximum mean discrepancy
Kernel partial least squares
Characterization of white matter microstructural abnormalities associated with cognitive dysfunction in cerebral small vessel disease with cerebral microbleeds
期刊论文
JOURNAL OF AFFECTIVE DISORDERS, 2023, 卷号: 324, 页码: 259-269
作者:
Sui, Chaofan
;
Wen, Hongwei
;
Wang, Shengpei
;
Feng, Mengmeng
;
Xin, Haotian
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  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
Cerebral small vessel disease
Cerebral microbleeds
Diffusion tensor imaging
Tract-based spatial statistics
Cognitive dysfunction
Machine Learning for Brain Imaging Genomics Methods: A Review
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 57-78
作者:
Mei-Ling Wang
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  |  
浏览/下载:14/0
  |  
提交时间:2023/01/18
Brain imaging genomics
machine learning
multivariate analysis
association analysis
outcome prediction
Assessing the Causal Effects of Climate Change on Vegetation Dynamics in Northeast China Using Convergence Cross-Mapping
期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 115367-115379
作者:
Wu, Jiapei
;
Zhou, Yuke
;
Wang, Han
;
Wang, Xiaoying
;
Wang, Jiaojiao
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  |  
浏览/下载:0/0
  |  
提交时间:2023/12/21
Vegetation mapping
Climate change
Atmospheric measurements
Dynamic programming
Temperature sensors
Meteorological factors
Forestry
Terrestrial atmosphere
Remote sensing
Nonlinear systems
Vegetation dynamic
climate change
causal links
convergent cross mapping
empirical dynamic model
A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods
期刊论文
JOURNAL OF AFFECTIVE DISORDERS, 2022, 卷号: 300, 页码: 1-9
作者:
Sun, Kai
;
Liu, Zhenyu
;
Chen, Guanmao
;
Zhou, Zhifeng
;
Zhong, Shuming
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2022/02/16
Major depressive disorder
rs-fMRI
VBM
Radiomics
Classification
Altered Brain Morphometry in Cerebral Small Vessel Disease With Cerebral Microbleeds: An Investigation Combining Univariate and Multivariate Pattern Analyses
期刊论文
FRONTIERS IN NEUROLOGY, 2022, 卷号: 13, 页码: 12
作者:
Li, Jing
;
Wen, Hongwei
;
Wang, Shengpei
;
Che, Yena
;
Zhang, Nan
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/06
cerebral small vessel disease
cerebral microbleeds
gray matter volume
white matter volume
multivariate pattern analysis
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
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/12/28
Lymph node metastases
Pancreatic ductal adenocarcinoma
Deep learning
Dual-energy computed tomography
Prognosis
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