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检索条件"机构=The Henan Key Laboratory of Brain Science and Brain Computer Interface Technology"
932 条 记 录,以下是831-840 订阅
排序:
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features
arXiv
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arXiv 2024年
作者: Wei, Xin Tao, Yaling Du, Changde Zhao, Gangming Yu, Yizhou Li, Jinpeng The Ningbo Institute of Life and Health Industry UCAS Ningbo315000 China School of Automation Science and Engineering South China University of Technology Guangdong Guangzhou510641 China The Research Center for Brain-Inspired Intelligence State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The Department of Computer Science University of Hong Kong Pokfulam Hong Kong
Mammography is the primary imaging tool for breast cancer diagnosis. Despite significant strides in applying deep learning to interpret mammography images, efforts that focus predominantly on visual features often str... 详细信息
来源: 评论
Multimodal emotion recognition using deep canonical correlation analysis
arXiv
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arXiv 2019年
作者: Liu, Wei Qiu, Jie-Lin Zheng, Wei-Long Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai200240 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Neurology Massachusetts General Hospital Harvard Medical School BostonMA02114 United States
Multimodal signals are more powerful than unimodal data for emotion recognition since they can represent emotions more comprehensively. In this paper, we introduce deep canonical correlation analysis (DCCA) to multimo... 详细信息
来源: 评论
Hybrid reconstruction of the physical model with the deep learning that improves structured illumination microscopy
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Advanced Photonics Nexus 2023年 第1期2卷 109-117页
作者: Jianyong Wang Junchao Fan Bo Zhou Xiaoshuai Huang Liangyi Chen Peking University Institute of Molecular MedicineCollege of Future TechnologyCenter for Life SciencesState Key Laboratory of Membrane BiologyBeijing Key Laboratory of Cardiometabolic Molecular MedicineBeijingChina Peking University School of Software and MicroelectronicsBeijingChina Chongqing University of Posts and Telecommunications College of Computer Science and TechnologyChongqing Key Laboratory of Image CognitionChongqingChina Peking University Biomedical Engineering DepartmentBeijingChina Peking University International Cancer InstituteBeijingChina PKU-IDG/McGovern Institute for Brain Research BeijingChina Beijing Academy of Artificial Intelligence BeijingChina National Biomedical Imaging Center BeijingChina
Structured illumination microscopy(SIM)has been widely used in live-cell superresolution(SR)***,conventional physical model-based SIM SR reconstruction algorithms are prone to artifacts in handling raw images with low... 详细信息
来源: 评论
Loss-Controlling Calibration for Predictive Models
arXiv
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arXiv 2023年
作者: Wang, Di Shi, Junzhi Wang, Pingping Zhuang, Shuo Li, Hongyue School of Electrical and Information Engineering Tianjin University Tianjin300072 China Tianjin Key Laboratory of Brain-inspired Intelligence Technology School of Electrical and Information Engineering Tianjin University Tianjin300072 China School of Electrical and Electronic Engineering Shandong University of Technology Zibo255000 China Qingdao Academy of Chinese Medical Science Shandong University of Traditional Chinese Medicine Shandong Qingdao266112 China School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China
We propose a learning framework for calibrating predictive models to make loss-controlling prediction for exchangeable data, which extends our recently proposed conformal loss-controlling prediction for more general c... 详细信息
来源: 评论
Fast Multi-grid Methods for Minimizing Curvature Energies
arXiv
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arXiv 2022年
作者: Zhang, Zhenwei Chen, Ke Tang, Ke Duan, Yuping Center for Applied Mathematics Tianjin University Tianjin300072 China Liverpool Centre of Mathematics for Healthcare Centre for Mathematical Imaging Techniques Department of Mathematical Sciences University of Liverpool LiverpoolL69 7ZL United Kingdom The Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen518055 China
The geometric high-order regularization methods such as mean curvature and Gaussian curvature, have been intensively studied during the last decades due to their abilities in preserving geometric properties including ... 详细信息
来源: 评论
Neuromodulated Meta-Learning
arXiv
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arXiv 2024年
作者: Wang, Jingyao Guo, Huijie Qiang, Wenwen Li, Jiangmeng Zheng, Changwen Xiong, Hui Hua, Gang University of Chinese Academy of Sciences Beijing China National Key Laboratory of Space Integrated Information System Institute of Software Chinese Academy of Sciences Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China Thrust of Artificial Intelligence Hong Kong University of Science and Technology Guangzhou China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Wormpex AI Research LLC BellevueWA98004 United States
Humans excel at adapting perceptions and actions to diverse environments, enabling efficient interaction with the external world. This adaptive capability relies on the biological nervous system (BNS), which activates... 详细信息
来源: 评论
Noncontact Doppler Radar-based Heart Rate Detection on the SVD and ANC
Noncontact Doppler Radar-based Heart Rate Detection on the S...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Qiuxia Shi Bin Hu Fuze Tian Qinglin Zhao Gansu Provincial Key Laboratory of Wearable Computing School of Information Science and Engineering Lanzhou University School of Computer and Communication Lanzhou University of Technology Ministry of Education Key Laboratory of Special Functional Materials and Structural Design (Lanzhou University) Lanzhou China CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University & Institute of Semiconductors Chinese Academy of Sciences Engineering Research Center of Open Source Software and Real-Time System(Lanzhou University) Ministry of Education Key Laboratory of Special Functional Materials and Structural Design Ministry of Education Lanzhou University Lanzhou China
In the Doppler biological radar-based applications of noncontact measurement of vital signs, effectively extracting heartbeat information from weak thoracic mechanical motion is an important problem to be solved. This... 详细信息
来源: 评论
多肽靶向嵌合体通过促进tau蛋白特异性去磷酸化治疗阿尔茨海默病和其他tau蛋白病
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science Bulletin 2024年 第8期69卷 1137-1152页
作者: 苏静芬 肖越 魏林郁 雷慧杨 孙飞 王围霞 尹君 熊瑞 李师宏 张配 周颖 王小川 郑杰 王建枝 Department of Pathophysiology School of Basic MedicineKey Laboratory of Education Ministry of China/Hubei Province for Neurological DisordersTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430030China Sino-UK Joint Laboratory of Brain Function and Injury of Henan Province Department of Physiology and PathophysiologySchool of Basic Medical SciencesXinxiang Medical UniversityXinxiang 453003China Department of Pathophysiology School of Basic Medical SciencesWuhan UniversityWuhan 430030China Department of Anesthesiology The First Affiliated Hospital of Gannan Medical UniversityGanzhou 341000China The Core Facility and Technical Support Wuhan Institute of VirologyChinese Academy of SciencesWuhan 430030China Research Center for Medicine and Structural Biology Wuhan UniversityWuhan 430030China Neuroscience Research Institute and Department of Neurobiology School of Basic Medical SciencesPeking UniversityKey Laboratory for NeuroscienceMinistry of Education/National Health CommissionBeijing 100083China Co-innovation Center of Neuroregeneration Nantong UniversityNantong 226000China
Abnormal hyperphosphorylation and accumulation of tau protein play a pivotal role in neurodegeneration in Alzheimer’s disease(AD)and many other *** elimination of hyperphosphorylated tau is promising for the therapy ... 详细信息
来源: 评论
Inverse design of artificial skins
arXiv
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arXiv 2023年
作者: Liu, Zhiguang Cai, Minkun Hong, Shenda Shi, Junli Xie, Sai Liu, Chang Du, Huifeng Morin, James D. Li, Gang Liu, Wang Wang, Hong Tang, Ke Fang, Nicholas X. Guo, Chuan Fei Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen518055 China Department of Mechanical Engineering Massachusetts Institute of Technology CambridgeMA02139 United States National Institute of Health Data Science Peking University Beijing100191 China Centers for Mechanical Engineering Research Education at MIT and SUSTech Southern University of Science and Technology Shenzhen518055 China Department of Mechanical Engineering The University of Hong Kong Hong Kong999077 Hong Kong Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China Department of Modern Mechanics University of Science and Technology of China Hefei231600 China
Mimicking the perceptual functions of human cutaneous mechanoreceptors, artificial skins or flexible pressure sensors can transduce tactile stimuli to quantitative electrical signals1-3. Conventional methods to design... 详细信息
来源: 评论
Slow and weak attractor computation embedded in fast and strong E-I balanced neural dynamics  23
Slow and weak attractor computation embedded in fast and str...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Xiaohan Lin Liyuan Li Boxin Shi Tiejun Huang Yuanyuan Mi Si Wu Nat'l Key Lab for Multimedia Information Processing Nat'l Eng. Lab of Visual Technology School of Computer Science Peking University and Peking-Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary Studies School of Psychological and Cognitive Sciences Beijing Key Laboratory of Behavior and Mental Health IDG/McGovern Institute for Brain Research Center of Quantitative Biology Peking University Department of Mathematics Peking University and Institute of Neuroinformatics University of Zurich Nat'l Key Lab for Multimedia Information Processing Nat'l Eng. Lab of Visual Technology School of Computer Science Peking University and Institute for Artificial Intelligence Peking University Department of Psychology Tsinghua University Peking-Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary Studies School of Psychological and Cognitive Sciences Beijing Key Laboratory of Behavior and Mental Health IDG/McGovern Institute for Brain Research Center of Quantitative Biology Peking University
Attractor networks require neuronal connections to be highly structured in order to maintain attractor states that represent information, while excitation and inhibition balanced networks (E-INNs) require neuronal con...
来源: 评论