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检索条件"机构=The Henan Key Laboratory of Brain Science and Brain Computer Interface Technology"
928 条 记 录,以下是631-640 订阅
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Meta ordinal regression forest for learning with unsure lung nodules
arXiv
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arXiv 2020年
作者: Lei, Yiming Zhu, Haiping Zhang, Junping Shan, Hongming Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China Institute of Science and Technology for Brain-inspired Intelligence MOE Frontiers Center for Brain Science Fudan University Shanghai200433 China Shanghai Center for Brain Science and Brain-inspired Technology Shanghai201210 China
Deep learning-based methods have achieved promising performance in early detection and classification of lung nodules, most of which discard unsure nodules and simply deal with a binary classification—malignant vs be... 详细信息
来源: 评论
Modeling and experimental verification of the rapid inversion model of the living body based on the fem model
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Recent Patents on Engineering 2021年 第3期15卷 287-293页
作者: Zhang, Shuang Liu, Yi He Data Recovery Key Laboratory of Sichuan Province College of Computer Science & AI Neijiang Normal University Neijiang Sichuan China School of Life Science and Technology University of Electronic Science and Technology of P.R.China Chengdu Sichuan China High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan Chengdu Sichuan China Key Laboratory for Neuro Information of Ministry of Education Chengdu Sichuan China
Objective: This study aims to verify the practicability and accuracy of a finite element model (FEM) built using digital human model construction and to apply the model to actual explo-sion impact inversion. Methods: ... 详细信息
来源: 评论
Corrigendum to "brain network communication in remission: a comparative study of bipolar and unipolar depression" [J. Psychiatr. Res. 186 (2025) 1-8]
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Journal of psychiatric research 2025年
作者: Haiyan Liu Yi Xia Lingling Hua Hao Sun Rui Yan Zhijian Yao Jiaolong Qin Department of Psychiatry The Affiliated Brain Hospital of Nanjing Medical University Nanjing China. Department of Psychiatry The Affiliated Brain Hospital of Nanjing Medical University Nanjing China. Electronic address: zjyao@***. The Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China.
来源: 评论
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
arXiv
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arXiv 2022年
作者: Li, Heng Liu, Haofeng Fu, Huazhu Shu, Hai Zhao, Yitian Luo, Xiaoling Hu, Yan Liu, Jiang Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China IHPC A*STAR Singapore Department of Biostatistics School of Global Public Health New York University New York United States Cixi Institute of Biomedical Engineering Chinese Academy of Sciences China Shenzhen People's Hospital Shenzhen China Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Southern University of Science and Technology Shenzhen China Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China
Fundus photography is a routine examination in clinics to diagnose and monitor ocular diseases. However, for cataract patients, the fundus image always suffers quality degradation caused by the clouding lens. The degr... 详细信息
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Effective and efficient multitask learning for brain tumor segmentation
Effective and efficient multitask learning for brain tumor s...
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作者: Cheng, Guohua Cheng, Jingliang Luo, Mengyan He, Linyang Tian, Yan Wang, Ruili Institute of Science and Technology for Brain-Inspired Intelligence Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Shanghai200433 China Department of Magnetic Resonance Imaging The First Affiliated Hospital of Zhengzhou University Zhengzhou450052 China Jianpei Technology Co. Ltd Hangzhou310018 China School of Computer and Information Engineering Zhejiang Gongshang University Hangzhou310018 China
Recently, brain tumor segmentation has achieved great success, partially because of deep learning-based relation exploration and multiscale analysis. However, the computational complexity hinders the real-time applica... 详细信息
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Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform
arXiv
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arXiv 2022年
作者: Ma, Qian Gao, Wei Xiao, Qiang Ding, Lingsong Gao, Tianyi Zhou, Yajun Gao, Xinxin Yan, Tao Liu, Che Gu, Ze Kong, Xianghong Abbasi, Qammer H. Li, Lianlin Qiu, Cheng-Wei Li, Yuanqing Cui, Tie Jun Institute of Electromagnetic Space Southeast University Nanjing210096 China School of Automation Science and Engineering South China University of Technology Guangzhou510641 China State Key Laboratory of Millimeter Wave Southeast University Nanjing210096 China Center of Intelligent Metamaterials Pazhou Laboratory Guangzhou510330 China Research Center for Brain-Computer Interface Pazhou Lab Guangzhou510330 China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore University of Glasgow James Watt School of Engineering GlasgowG12 8QQ United Kingdom State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics Peking University Beijing100871 China
brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled vision and promise for assisting patients in need to better their interaction with the surroundings. Inspired by the BCI-based re... 详细信息
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Graph jigsaw learning for cartoon face recognition
arXiv
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arXiv 2021年
作者: Li, Yong Lao, Lingjie Cui, Zhen Shan, Shiguang Yang, Jian Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology CAS Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Brain Science and Intelligence Technology
Cartoon face recognition is challenging as they typically have smooth color regions and emphasized edges, the key to recognize cartoon faces is to precisely perceive their sparse and critical shape patterns. However, ... 详细信息
来源: 评论
Learning fair face representation with progressive cross transformer
arXiv
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arXiv 2021年
作者: Li, Yong Sun, Yufei Cui, Zhen Shan, Shiguang Yang, Jian Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology CAS Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Brain Science and Intelligence Technology
Face recognition (FR) has made extraordinary progress owing to the advancement of deep convolutional neural networks. However, demographic bias among different racial cohorts still challenges the practical face recogn... 详细信息
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Meta auxiliary learning for facial action unit detection
arXiv
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arXiv 2021年
作者: Li, Yong Shan, Shiguang Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology Cas Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Cas Center for Excellence in Brain Science and Intelligence Technology
Despite the success of deep neural networks on facial action unit (AU) detection, better performance depends on a large number of training images with accurate AU annotations. However, labeling AU is time-consuming, e... 详细信息
来源: 评论
Evolutionary multi-objective optimization algorithm framework with three solution sets
arXiv
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arXiv 2020年
作者: Ishibuchi, Hisao Pang, Lie Meng Shang, Ke Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China
It is assumed in the evolutionary multi-objective optimization (EMO) community that a final solution is selected by a decision maker from a non-dominated solution set obtained by an EMO algorithm. The number of soluti... 详细信息
来源: 评论