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林秋华
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Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
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李斯琦, 马明骏, linqiuhua, Calhoun, Vince D..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
韩越, linqiuhua, Kuang, Li-Dan, haoyingguang, Li, Wei-Xing, gongxiaofeng, 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
李伟幸, 赵斌华, 张超颖, 韩越, linqiuhua, Kuang, Li-Dan, Calhoun, Vince D..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
Zhang, Chao-Ying, Li, Wei-Xing, Kuang, Li-Dan, linqiuhua.Incorporating Spatial Sparsity Constraint into Complex IVA of Multi-subject Complex-Valued fMRI Data[A],2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN,2024
Zhang, Chao-Ying, 牛妍炜, linqiuhua, liweixing, gongxiaofeng, congfengyu, Wang, Yu-Ping, Calhoun, Vince D..Denoising brain networks using a fixed mathematical phase change in independent component analysis of magnitude-only fMRI data.[J],Human brain mapping
韩越, 赵斌华, linqiuhua, Kuang, Li-Dan, gongxiaofeng, congfengyu, Wang, Yu-Ping, Calhoun, Vince D..A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data[J],BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2024,95
Patents
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一种基于深度学习的建筑物变化检测方法
一种基于激光点云与图像融合的前方车辆距离测量方法
一种三角形特征的二进制描述方法
对静息态复数fMRI数据进行ICA后处理消噪的相位精确范围检测方法
一种基于窄基线双目视觉的前方车辆快速测距方法
一种基于激光点云与图像融合的前方车辆距离测量方法
Published Books
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Research Projects
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张量架构下大规模fMRI数据高区分度特征挖掘与多疾病分类, 国家自然科学基金项目, 2024/08/23, 在研
半球谐振陀螺信号调频检测控制技术开发, 企事业单位委托科技项目, 2024/08/01, 在研
遥感图像的目标分类、检测与识别算法及模型工具开发研究, 企事业单位委托科技项目, 2021/06/20-2023/09/05, 结题
空间源相位约束下完备复数fMRI数据的稀疏表示, 国家自然科学基金项目, 2018/08/16-2022/12/31, 进行
基于复值ICA和张量分解的完备fMRI数据分析方法研究, 国家自然科学基金项目, 2013/09/25-2017/12/31, 结题
视觉成像处理技术研究(二), 企事业单位委托科技项目, 2016/12/14-2020/06/30, 结题