周光泉，博士，副教授，博士生导师。主要研究领域：
（1）医学超声成像，主要包括：超声波束合成成像技术和自由臂三维超声成像技术等方面的研究。
（2）医学图像智能分析，主要包括：从理论探索和应用拓展两个方面同时开展科学研究，努力将计算机科学技术应用于视觉重建、医学图像成像和计算机辅助诊断。
现为中国生物医学工程学会医学图像信息与控制分会委员和中国生物医学工程学会医学人工智能分会青年委员。主持或参与的国家自然科学基金面上项目，国家重点研发计划子课题，江苏省重点研发计划，香港政府创新及科技基金等项目，已经在脊柱侧凸三维超声成像、肌肉骨骼组织功能分析、医学图像处理等方面取得了多项成果，累计发表论文60余篇，其中包括IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Jounral of Biomedical and Health Informatics, Computers in Biology and Medicine, IEEE Transactions on Biomedical Engineering, Ultrasonics, Ultrasound in Medicine & Biology等SCI期刊。作为核心成员, 研制出了青少年脊柱侧凸三维超声成像诊断系统，受到众多投资者的青睐，香港中慧国际控股有限公司先后投入1000万港币对此项研究成果进行商业转化开发，经过共同努力，产品Scolioscan已经顺利通过欧盟（CE）认证，有望在将来惠及广大的青少年特发性脊柱侧凸患者。
主持或参加科研项目情况：
1. 江苏省社会发展--面上项目，BE2020718，基于神经电生理及肌骨超声评估的原发性肌肉减少症早期预警及康复干预技术体系的构建与推广应用，2020/06-2024/06，在研，参与。
2. 变革性技术国家重点研发专项子课题，2018YFA0704102，实体和腔道介入手术机器人及其混合智能系统研发，2019/09 -22024/08，在研，骨干参与
3. 国家自然科学基金面上项目，61871130，基于OCTA技术的视网膜微血管网络三维提取和量化研究，2019/01-2022/12，结题，参与
4. 国家自然科学基金面上项目，61771130，用于脊柱侧凸诊断的三维超声成像关键技术研究，2018/01-2021/12，结题，主持
发表论文：
1. Kai-Ni Wang, Shuaishuai Zhuang, QiYong Ran, Ping Zhou, Jie Hua, Guang-Quan Zhou*, Xiaopu He*. DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images. Medical Image Analysis, 2023
2. Guang-Quan Zhou*，Hao Wei, Xiaoyi Wang*, Kai-Ni Wang, Yuzhao Chen, Fei Xiong, Guanqing Ren, Chunying Liu, Le Li*, Qinghua Huang*. BSMNet: Boundary-salience Multi-branch Network for Intima-media Identification in Carotid Ultrasound Images. Computers in Biology and Medicine, 2023
3. Qi-Yong Ran#, Juzheng Miao#, Si-Ping Zhou#, Shi-hao Hua, Si-Yuan He, Ping Zhou, Hong-Xing Wang, Yong-Ping Zheng, Guang-Quan Zhou*, Automatic 3-D spine curve measurement in freehand ultrasound via structure-aware reinforcement learning spinous process localization. Ultrasonics, 2023,107012
4. Guang-Quan Zhou*,#,, Shi-Hao Hua#, Yikan He#, Kai-Ni Wang, Dandan Zhou, Hongxing Wang*, Ruoli Wang*, Automatic Myotendinous Junction Identification In Ultrasound Images Based on Junction-based Template Measurements, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 851 - 862
5. Hao Guo#, Hui-Wen Xie#, Guang-Quan Zhou*, Nghia Q Nguyen, Richard W Prager, Pixel-based approach to delay multiply and sum beamforming in combination with Wiener filter for improving ultrasound image quality,” Ultrasonics, 2023, 128:106864
6. Kai-Ni Wang#, Xin Yang#, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guang-Quan Zhou*, Xiahai Zhuang*, Dong Ni*. AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images. Medical Image Analysis, 2022, 77: 102362
7. Jianan He#, Guang-Quan Zhou#, Shoujun Zhou*, Yang Chen*. Online Hard Patch Mining using Shape Models and Bandit Algorithm for Multi-organ Segmentation. IEEE Jounral of Biomedical and Health Informatics, 2022, 26(6): 2648-2659
8. Hui-Wen Xie, Hao Guo, Guang-Quan Zhou*, Nghia Q Nguyen, Richard W Prager. Improved ultrasound image quality with pixel-based beamforming using a Wiener-filter and a SNR-dependent coherence factor. Ultrasonics, 2022, 119: 106594
9. Guang-Quan Zhou*, Yuzhao Chen, Xiaohan Wang, Hao Wei, Qinghua Huang*, Le Li*. The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement. Frontiers in Human Neuroscience, 2022, 510
10. Guang-Quan Zhou*, Juzheng Miao, Xin Yang, Rui Li, En-Ze Huo, Wenlong Shi, Yuhao, Huang, Jikuan Qian, Chaoyu Chen, Dong Ni. Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images. IEEE Jounral of Biomedical and Health Informatics, 2021, 25(10): 3854-3864
11. Guang-Quan Zhou*, En-Ze Huo, Mei Yuan, Ping Zhou, Ruo-Li Wang, Kai-Ni Wang, Yang Chen*, Xiao-Pu He*, A Single-Shot Region-Adaptive Network for Myotendinous Junction Segmentation in Muscular Ultrasound Images, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2020, 67(12): 2531-2542
12. Guang-Quan Zhou*, Dong-Sheng Li, Ping Zhou, Weiwei Jiang, Yongping Zheng. Automating Spine Curvature Measurement in Volumetric Ultrasound via Adaptive Phase Features. Ultrasound in Medicine & Biology, 2020, 46(3): 828-841
13. Weiwei Jiang, Guang-Quan Zhou*, Ka-Lee Lai, SY Hu, QY Gao, XY Wang, Yongping Zheng*. A fast 3-D ultrasound projection imaging method for scoliosis assessment. Mathematical Biosciences and Engineering, 2019, 1
14. Guang-Quan Zhou, Weiwei Jiang, KaLee Lai, Yongping Zheng*. Automatic Measurement of Spine Curvature on 3-D Ultrasound Volume Projection Image with Phase Features. IEEE Transactions on Medical Imaging, 2017, 36: 1250-1262
15. Haris Begovic*, GuangQuan Zhou, Snježana Schuster, Yong-Ping Zheng. The neuromotor effects of transverse friction massage. Manual Therapy, 26:70-76, 2016.
16. ChungWai James Cheung#, Guang-Quan Zhou #, SiuYin Law, TakMan Mak, KaLee Lai, Yongping Zheng#*, Ultrasound Volume Projection Imaging for Assessment of Scoliosis, IEEE Transactions on Medical Imaging, 2015,34: 1760-1768.
17. Guang-Quan Zhou, Yongping Zheng*, Automatic Fascicle Length Estimation on Muscle Ultrasound Images with an Orientation-Sensitive Segmentation, IEEE Transactions on Biomedical Engineering, 2015, 62: 2828-2836.
18. Guang-Quan Zhou, Yongping Zheng*, Automatic measurement of pennation angle and fascicle length of gastrocnemius muscles using real-time ultrasound imaging, Ultrasonics, 2015, 57:72-83.
19. ChungWai James Cheung#, Guang-Quan Zhou #, SiuYin Law, KaLee Lai, Weiwei Jiang, Yongping Zheng#*, Freehand 3D Ultrasound System for Assessment of Scoliosis. Journal of Orthopaedic Translation, 2015,3:123-133
20. Haris Begovic*, GuangQuan Zhou, Tianjie Li, Yi Wang, Yong-Ping Zheng, Detection of the electromechanical delay and its components during voluntary isometric contraction of the quadriceps femoris muscle, Frontiers in Physiology, 2014, 5.
欢迎生物医学工程、电子工程、计算机等专业背景的同学联系报考！
通讯地址：东南大学生物科学与医学工程学院，江苏省南京市四牌楼2号。
Email: guangquan.zhou@seu.edu.cn
电话：025-83792246