郭圣文 Guo Shengwen

教授/Professor

华南理工大学 自动化学院智能科学与技术系

医学影像 , 医学信号检测和分析 , 医疗人工智能 , 混合现实技术

简介  ABOUT

动态   NEWS

学术   ACADEMIC

    郭圣文,男,博士,教授,博士生导师华南理工大学自动化科学与工程学院、国家人体组织功能重建工程技术研究中心教授,兼任广东省老年痴呆诊断与康复工程技术研究中心副主任。2004年毕业于东南大学生物电子学国家重点实验室,获工学博士学位,毕业后,到华南理工大学生物医学工程系任教。2008 年至2010 年,2015年先后赴美国Case Western Reserve University与University of Illinois Urbana-Champaign等高校从事医学影像与多模态图像分析方面的研究。

主讲《C++程序设计》、《医学图像处理》、《医学成像技术》等本科和硕士课程,以及《Digital Signal Processing》硕士课程(全英)。
      现为医学影像与医学电子团队负责人,主要从事图像分析与模式识别、脑电信号分析、脑机接口、医疗人工智能、混合现实技术及医学仪器设计等方面研究。近年来,重点关注心、脑、肝脏与肾等重大疾病的智能诊治与运动障碍患者康复问题,探索生理信号检测、处理和分析方法、人工智能算法,以及虚拟现实和混合现实技术等应用于疾病的早期诊断、病灶准确定位、精确预后与辅助康复治疗等。
    近年来,主持国家及省部级项目10余项,在领域内高水平期刊共计发表学术论文60多篇,其中被三大索引收录30多篇,参与编写英文专著1部,授权发明专利10多项,软件著作权2项,申请专利20余项。

    任中国生物医学工程学会医学影像专业委员会常务理事,广东省生物医学工程学会理事、广东省生物医学工程学会医学信息工程专业委员会副主任委员,广东省医疗装备学会医学影像
专业委员会常务理事,广东省技术贸易壁垒学术委员会委员。曾任IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks
and Learning Systems, IEEE Journal of Selected Topics in Signal Processing , IEEE Access, Neurocomputing, Quantitative Imaging in Medicine and SurgeryOptics
Letter 等重要国际期刊及电子学报、东南大学学报、华南理工大学学报的审稿人

研究兴趣

图像分析与模式识别、脑电信号分析、脑机接口、医疗人工智能、混合现实技术及医学仪器设计

Biography

Shengwen Guo 

Professor 

Department of Biomedical Engineering
School of Materials Science and Engineering

South China University of Technology 

National Engineering Research Center for Tissue Restoration & Reconstruction(NERC-TRE) 

502 Bldg. B12, 

Higher Education Mega Center, 

Panyu District,
Guangzhou 510006,P.R.China 

Email: shwguo@scut.edu.cn 

shengwen.guo@gmail.com 

Research Interest 

(1) Medical Imaging
Image Processing and Analysis 

(2) Pattern Recognition 

(3) Computerlized Neuroimaging 

(4) Computer-aided Diagnosis and Theropy(CAD/CAT) 

 Dr. Shengwen Guo is a professor in the Department of Biomedical Engineering of South China University of Technology, National Engineering Research Center for Tissue Restoration & Reconstruction(NERC-TRE). He received his PhD from the Southeast University(China) in 2004 and was a visiting scholar in 2015 at Beckman Institute, Department of Electrical and Computer Engineering of University of Illinois at Urbana-Champaign, he was a postdoctoral research fellow between 2008 and 2010 at the Department of Radiology, Case Western Research University and Alcorn State University

 His current work focuses on the studies of medical imaging and image analysis. Specifically, Dr. Guo's group has: 

 (1) Based on the multiple biomarkers including biochemical indicators, genetic markers and neuroimaging data, developed discriminative analysis and automatic classification on the major chronic neurological disorders such as Alzheimer's disease(AD), epilepsy, and depression. It aims to explore the pathogenesis, process and progress of these diseases , which leads to early detection and diagnosis, risk prediction, timely intervention and effective treatment;

 (2) Investigated characteristics of intravascular ultrasound microbubbles, revealed the ultrasound microbubble motion and deformation, interaction with the ultrasound excitation, vascular structure and function, provided important theoretical basis and guidance for early detection of vascular lesion and targeted drug therapy; 

 (3) Developed a series of medical image analysis systems and application software, including three-dimensional visualization system(3D MedVis), multi-modal medical image registration and fusion software, motion correction, content-based medical image retrieval engine(CBMIR), quantitative analysis and motion tracing of microscopic images, etc. 

 Dr. Guo has authored or co-authored more than 50 peer-reviewed journal articles. He is performing research in medical imaging and image processing supported by the National Natural Science Foundation of China, Science and Technology Planning Project of Guangdong Province, and the China Scholar Council. He was ever peer reviewers of international journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal of Selected Topics in Signal Processing and Optics Letter, etc. 

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