张慧 - 北京航空航天大学 - 医学科学与工程学院 / 医工交叉创新研究院

个人简介

张慧，工学博士，2009年博士毕业于中国科学院自动化研究所计算机应用专业；2010-2017年在美国国立卫生研究院(NIH)脑与认知实验室(LBC)从事博士后研究，合作导师为美国科学院院士，视觉双通路理论提出者Ungerleider G. Leslie；2017年入职北航。教育背景 2006.09—2009.07 中科院自动化研究所计算机应用技术博士学位 2002.09—2005.07 中科院沈阳自动化研究所模式识别与智能系统硕士学位 1998.09—2002.07 河南师范大学计算机科学与技术系学士学位工作经历 2017.02—至今北京航空航天大学医工交叉创新研究院特聘副研究员 2010.10—2017.02 美国国立卫生研究院(NIH)脑与认知实验室博士后 2009.08—2010.10 北京大学临床肿瘤学院医学影像科助理研究员科研项目国家自然科学基金面上项目（32371152），“基于磁纳米粒子成像的灵长类脑认知功能研究”，生命学部，资助金额直接经费50万，2024年1月～ 2027年12月。在研，项目负责人国家自然科学基金面上项目（81871511），“基于fMRI神经信号的动态人脸重建”，医学部，资助金额直接经费57万，2019年1月～ 2022年12月。已完成，项目负责人国家自然科学基金青年基金（81000608），“精细空间尺度下的静息态功能脑网络分析方法研究”，资助金额20万，2011年1月～ 2013年12月，已完成。项目负责人校内医工卓越创新计划基金，“基于CT影像的新冠肺炎患者无创通气疗效评估与预测研究 ”，资助金额15万，执行年限：2020.03 ～ 2020.12，已完成。项目负责人

研究领域

基于认知机理的类脑计算模型的开发。构建大样本量图像数据库，优化多任务深度学习网络算法框架，开发更具通用性和自主性的人工智能识别系统基于fMRI的灵长类视觉系统脑编、解码研究。在脑编码方面，研究视觉系统的多通路信息加工方式；在脑解码方面，开发基于脑机接口的预测和重建算法基于人工智能技术的医学影像大数据分析方法研究，以辅助临床进行精准诊断和个体化诊疗决策

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Hui Hui#, Jiaojiao Liu#, Hui Zhang#, Jing Zhong#, Jie He, Bo Zhang, Haoran Zhang, Qin Li*, Hongjun Li*, Jie Tian*. First in vivo measurement of cerebral blood volume in nonhuman primate using magnetic particle imaging detector. IEEE Magnetics Letters. 2023. DOI:10.1109/LMAG.2023.3281933 Hui Zhang*, Xuetong Ding, Ning Liu, Rachel Nolan, Leslie G Ungerleider, Shruti Japee. Equivalent processing of facial expression and identity by macaque visual system and task-optimized neural network. NeuroImage 2023. 273:120067. Hui Zhang, Jing Zhao, Yusong Shen, Jie Tian. Deep Generative Adversarial Network for Direct Super-resolution Magnetic Particle Imaging Reconstruction. International Journal on Magnetic Particle Imaging. 2023. 9:1. ID 2303011. ZhenChao Tang#, JiaoJiao Liu#, XueTong Ding #, Dan Liu, HongWei Qiao, XiaoJie Huang, Hui Zhang*, Jie Tian*, HongJun Li*. The default mode network is affected in the early stage of simian immunodeficiency virus infection: a longitudinal study. Neural regeneration research. 2023,18(8). Xuetong Ding and Hui Zhang*. Dissociation and hierarchy of human visual pathways for simultaneously coding facial identity and expression. NeuroImage 2022. 264:119769. Xiaoyuan Hou, Jing Zhao and Hui Zhang*. Reconstruction of perceived face images from brain activities based on multi-attribute constraints. Frontiers in Neuroscience. 2022.1015752 Jing Zhao, Xiaoyuan Hou, Meiqing Pan, Hui Zhang*. Attention-based generative adversarial network in medical imaging: A narrative review. Computers in Biology and Medicine.2022.149.105948. Ning Liu, Hui Zhang, Xilin Zhang, Jiongjiong Yang, Xuchu Weng, Lin Chen. In Memory of Leslie G. Ungerleider. Neuroscience Bulletin. 2021. 37(4): 592-595 Sirui Fu#, Meiqing Pan#, Jie Zhang#, Hui Zhang#, Zhenchao Tang, Yong Li, Wei Mu, Jianwen Huang, Di Dong, Chongyang Duan, Xiaoqun Li, Shuo Wang, Xudong Chen, Xiaofeng He, ianfeng Yan, Ligong Lu, Jie Tian. Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. 2021. 8: 1065-1076. Luo Zhang, Peng Liu, Lizhe Wang, Jianbo Liu, Bingze Song, Yuwei Zhang, Guojin He, Hui Zhang. Improved 1-km-resolution Hourly Estimates of Aerosol Optical Depth Using Conditional Generative Adversarial Networks. Remote Sensing. 2021. 13(19), 3834. Di Dong, Zhenchao Tang, Shuo Wang, Hui Hui, Lixin Gong, Yao Lu, Zhong Xue, Hongen Liao, Fang Chen, Fan Yang, Ronghua Jin, Kun Wang, Zhenyu Liu, Jingwei Wei, Wei Mu, Hui Zhang, Jingying Jiang, Jie Tian, Hongjun Li. The Role of Imaging in the Detection and Management of COVID-19: A Review. IEEE Reviews in Biomedical Engineering. 2021.14:16-29. Hui Zhang*, Shruti Japee, Andrea Stacy, Molly Flessert, Leslie G. Ungerleider. Anterior superior temporal sulcus is specialized for non-rigid facial motion in both monkeys and humans. NeuroImage. 2020. 218.116878. Hui Zhang*, Shruti Japee, Rachel Nolan, Carlton Chu, Ning Liu, Leslie G. Ungerleider. Face-selective regions differ in their ability to classify facial expressions. NeuroImage. 2016. 130(1):77-90. Hui Zhang, Xiaopeng Zhang, Yingshi Sun, Jiangang Liu, Wu Li and Jie Tian. A Weighted-RV method to detect fine-scale functional connectivity during resting states. NeuroImage. 2011. 54(4): 2885-2898. Peng Liu, Hui Zhang, Kie Eom. Active Deep Learning for the Classification of Hyperspectral Images. IEEE J-STARS. 2016. 10(2): 712-724. Molly Flessert, Hui zhang*, Japee Shruti, Ungerleider Leslie, Comparing the specialization for facial motion in macaques and humans [Abstract]. Journal of vision. 2016(12): 722. Hui Zhang, Jie Tian, Jiangang Liu, Jun Li and Kang Lee. Intrinsically Organized Network for Face Perception during the Resting State. Neuroscience Letters, 2009. 454(1):1-5. Zonglei Zhen, Jie Tian, Hui Zhang. Adaptive integration of local region information to detect fine-scale brain activity patterns. Science in China Series E, 2008, 51(11): 1980-1989. Zonglei Zhen, Jie Tian, Hui Zhang. Finer discrimination of brain activation with local multivariate distance. Progress in Natural Science, December 2007, 17(12): 1508-1514. 张慧, 刘伟军; 一种基于小波的轮廓特征提取算法[J]; 中国图象图形学报; 2005年07期; 30-35. 张慧, 刘伟军; 基于多尺度统计形状模型的Levelset分割方法[J]；计算机工程；2006年07期. 张慧, 刘伟军; 基于小波的三维扫描线数据处理算法[J]；计算机应用与软件; 2006年09期. 会议论文 Hui Zhang, Jing Zhao, Yusong Shen, Jie Tian. Deep Generative Adversarial Network for Direct Super-resolution Magnetic Particle Imaging Reconstruction. International Workshop on Magnetic Particle Imaging. March 12-15, 2023 Meiqing Pan, Hui Zhang*, tang zhenchao, zhao yinghua, Jie Tian*. Attention-Based Multi-Scale Generative Adversarial Network for Synthesizing Contrast-Enhanced MRI. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, October 31 – November 4, 2021. Meiqing Pan, Zhenchao Tang, Sirui Fu, Wei Mu, Jie Zhang, Xiaoqun Li, Hui Zhang*, Ligong Lu, Jie Tian. Deep learning-based aggressive progression prediction from CT images of hepatocellular carcinoma. SPIE medical imaging 2021 Digital Forum, Online, February 15-19, 2021. Hui Zhang*, Xuetong Ding, Jiaqi Zhou. Multi-task deep neural network reveals distinct and hierarchical pathways for face perception in visual cortex. ISMRM 29th Annual Meeting, Online, May 15-20, 2021. Xiaoyuan Hou, Hui Zhang*, Yan Tan, Zhenchao Tang, Hui Zhang, Jie Tian. Automatic Prediction of MGMT and IDH Genotype for Gliomas from MR Images via Multi-task Deep Learning Network. ISMRM 29th Annual Meeting, Online, May 15-20, 2021. Hui Zhang*, Zixiang Wei, Jiaqi Zhou, Jie Tian. Reconstructing the Perceived Faces from Brain Signals without Large Number of Training Samples. Proceedings of 42th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBS2020), Online, July 20-24, 2020. Hui Zhang*, Zixiang Wei, Xueping Wang, Yunhong Wang. Reconstructing Multi-dimensional Face Attributes from fMRI Signals. ISMRM 27th Annual Meeting in Montréal, QC, Canada, May 11-16, 2019. (Oral Power pitch) Hui Zhang, Zixiang Wei, Xueping Wang, Yunhong Wang. The Discrimination Ability of Human Visual System for Facial Expression, Identity and Gender. Vision Science Society 2019 Annual Meeting in St. Pete Beach, Florida, USA, May 17-22, 2019. Hui Zhang, Zixiang Wei, Xueping Wang, Yunhong Wang. The Selectivity of Facial Motion in Human Visual Cortex. 2019 OHBM Annual Meeting in Rome, Italy, June 9-13, 2019. Hui Zhang, Shruti Japee, Leslie G. Ungerleider. Decoding dynamic facial expressions in both macaque and human. Vision Sciences Society, VSS2018, Tradewinds Island Resorts,St.Pete Beach,Florida, United States. May 18 - 23, 2018. Hui zhang, Andrea Stacy, Japee Shruti, Ungerleider Leslie, Comparing the specialization of facial motion in macaques and humans. Society for Neuroscience 2015 Annual Meeting, Chicago, United States. October 17-21, 2015. Hui zhang, Andrea Stacy, Japee Shruti, Ungerleider Leslie, Monkey and human share similar structure for facial expression classification in amygdala. Society for Neuroscience 2014 Annual Meeting, Washington DC, United States. November 15-19, 2014. Hui Zhang，Xiaoting Li，Intrinsic organized face network by using granger causality analysis，The 6th International Conference on Image and Signal Processing & The 6th International Conference on BioMedical Engineering and Informatics, Hangzhou, China. Dec 16-18, 2013. ISBN: 978-1-60595-163-8, EI Index. Hui Zhang，Xiaoting Li，Fine-scale spatial patterns of face brain network in resting states，The 6th International Conference on Image and Signal Processing & The 6th International Conference on BioMedical Engineering and Informatics, Hangzhou, China. Dec 16-18, 2013. ISBN: 978-1-60595-163-8, EI Index. Hui Zhang, Xiaoting Li. Effective connectivity of facial expression network by using Granger causality analysis, Proceedings of SPIE - The International Society for Optical Engineering (Proceedings of SPIE), Munich, Germany, May, 2013. Vol. 8920. DOI: 10.1117/12.2030912. Hui zhang, Rachel Nolan, Japee Shruti, Ungerleider Leslie, facial expression discrimination ability of monkey face-selective regions. Society for Neuroscience 2013 Annual Meeting, Washington DC, United States. November 9-13, 2013. Hui zhang, Rachel Nolan, Japee Shruti, Ungerleider Leslie, face selective regions differ in their ability to discriminate facial expressions. Society for Neuroscience 2012 Annual Meeting, New Orleans, LA, United States. October 13-17, 2012. Hui Zhang, Jie Tian. Intrinsically Organized Low Frequency Network for Face Perception. Proceedings of International Society of Magnetic Resonance in Medicine (ISMRM2009), Hawaii, United States, 18-24 April 2009. Oral Report Hui Zhang, Jie Tian, Jun Li, Jizheng Zhao. RV-coefficient and its significance test in mapping brain functional connectivity. Progress in Biomedical Optics and Imaging - SPIE, Lake Buena Vista, FL, United States, February 7-12, 2009. Hui Zhang, Jie Tian. Extracting information based face selective functional connectivity from resting-state fMRI. The 37th annual meeting of the Society for Neuroscience, Washington, DC, United States, November 15-19, 2008 Hui Zhang, Jie Tian, Jun Li, Jizheng Zhao, Fine-Scale based Face-Selective Functional Connectivity in Resting and Visual Task, workshop on analysis of functional medical images at MICCAI 2008, New York, USA, Septemper 10, 2008. Oral Report. Hui Zhang, Jie Tian, Zonglei Zhen. Directly measure of local region functional connectivity with multivariate correlation technique. Proceedings of 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS2007), Lyon, France, August 23-26, 2007. Zonglei Zhen, Jie Tian, Hui Zhang. Principal component analysis of fMRI data in local frequency domain. Proceedings of International Conference on Complex Medical Engineering (CME2007) May 23-27,2007 ,Beijing, Oral Report. Zonglei Zhen，Jie Tian, Hui Zhang, Detection of fine-scale activity patterns by integration of information in local regions, Proccedings of SPIE Symposium on Medical Imaging 2007, San Diego, California, USA, 2007, Vol.6511, pp.651115, 8 pages, Oral Report. Zonglei Zhen，Jie Tian, Wei Qin, Hui Zhang. Partial correlation mapping of brain function connectivity with resting state fMRI, Proccedings of SPIE Symposium on Medical Imaging 2007, San Diego, California, USA, 2007, Vol.6511, pp.651112, 8pages, Oral Report. Jun Li, Jimin Liang, Jie Tian, Hui Zhang, Guangming Shi, A study of specific neural substrate for face processing, Proccedings of SPIE Symposium on Medical Imaging 2008, San Diego, California USA,16-21 February, 2008. Zonglei Zhen, Jie Tian, Hui Zhang. Finer Discrimination of brain activation. Joint Annual Meeting ISMRM-ESMRMB 2007, Proc. Intl. Soc. Mag. Reson. Med., 15:3467, 2007.