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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:信息与通信工程学院
学科:信号与信息处理
联系方式:
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- [1]王磊.龚晓峰,林秋华.刘夕源,冯玮.A Block Term Decomposition Model Based Algorithm for Tensor Completion of Multidimensional Harmonic Signals[A],ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2025
- [2]宋佳阳.林秋华,Wang, Yu-Ping,Calhoun, Vince D..周池,王一然.Detecting low-amplitude biomarker activations via decomposition of complex-valued fMRI data with collaborative phase and magnitude sparsity[J],MEDICAL IMAGE ANALYSIS,2025,107
- [3]李斯琦.林秋华,Calhoun, Vince D..马明骏.CfMRIPrep: A MATLAB toolbox for integrated preprocessing of complex-valued fMRI data[A],13th International Conference on Information Science and Technology, ICIST 2023 - Proceedings,2024:167-171
- [4]韩越.林秋华,Kuang, Li-Dan,郝应光,Li, Wei-Xing,龚晓峰,Calhoun, Vince D..Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia[A],Communications in Computer and Information Science,2024,1963 CCIS:518-527
- [5]李伟幸.林秋华,Kuang, Li-Dan,Calhoun, Vince D..赵斌华,张超颖,韩越.Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia.[J],Journal of neuroscience methods,403:110049
- [6]Zhang, Chao-Ying.Li, Wei-Xing,Kuang, Li-Dan,林秋华.Incorporating Spatial Sparsity Constraint into Complex IVA of Multi-subject Complex-Valued fMRI Data[A],2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN,2024
- [7]Zhang, Chao-Ying.林秋华,李卫星,龚晓峰,丛丰裕,Wang, Yu-Ping,Calhoun, Vince D..牛妍炜.Denoising brain networks using a fixed mathematical phase change in independent component analysis of magnitude-only fMRI data.[J],Human brain mapping
- [8]韩越.林秋华,Kuang, Li-Dan,龚晓峰,丛丰裕,Wang, Yu-Ping,Calhoun, Vince D..赵斌华.A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data[J],BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2024,95
- [9]李伟幸.林秋华,Calhoun, Vince D.张超颖,韩越.A new transfer entropy method for measuring directed connectivity from complex-valued fMRI data.[J],Frontiers in neuroscience,2024,18:1423014
- [10]李伟幸.林秋华,Li, Huan-Jie,Calhoun, Vince D.张超颖,韩越.Estimation of complete mutual information exploiting nonlinear magnitude-phase dependence: Application to spatial FNC for complex-valued fMRI data[J],Journal of neuroscience methods,2024,409
