Speakers

Keynote Speakers

Prof. Haiquan Zhao

Southwest Jiaotong University

Experience: Haiquan Zhao, Ph.D. in Engineering, Professor, Ph.D. Advisor, Senior Member of IEEE and the China Institute of Electronics. He is a highly cited researcher by Elsevier, one of the world's top 2% scientists for several consecutive years, an academic and technical leader in Sichuan Province, an outstanding expert with significant contributions in Sichuan Province, a recipient of the Sichuan Outstanding Youth Fund, a specially appointed expert under the Sichuan Association for Science and Technology’s “Hai Zhi” Project, a core member of the Sichuan Youth Science and Technology Innovation Team, and the first batch of innovation studio leaders at Southwest Jiaotong University. He has received five provincial and ministerial awards, including the CAA Natural Science First Prize from the Chinese Association of Automation and the Second Prize for Scientific and Technological Progress from the Ministry of Education. Additionally, he has received the Tang Lixin Outstanding Scholar Award and holds several key positions, such as the Executive Director of the Youth Science and Technology Association in Sichuan Province and the Chengdu Western Returned Scholars Association.He serves on the editorial boards of several international SCI journals, including IEEE TSMCA, IEEE Sensors Journal, Signal Processing, IEEE SPL, IEEE OJSP, and Signal Processing.

Prof. Tao Zhou

North Minzu University

Title: From priori to Depth -- Multimodal medical image fusion

Abstract：Lung cancer is the leading cause of cancer death in the world. Early detection and effective treatment of lung cancer are the most fundamental methods, which can significantly reduce the mortality of patients. Medical imaging plays a crucial role in tumor diagnosis. Positron emission tomography (PET) images and computed tomography (CT) images are important tools for the diagnosis, staging and postoperative evaluation of lung cancer.PET/CT fusion images can comprehensively detect lesions, accurately locate lesions, and determine benign or malignant lesions, so as to help doctors find lesions early, quickly and accurately, and assist in diagnosis. CT and PET image fusion is of great significance for the diagnosis and treatment of lung cancer. The fusion strategy from the Priority to the Deepth is the trend of multimodal medical image fusion. This report will introduce the research results of our team in prior fusion and deep fusion, and discuss the future development trends.

Experience:Tao Zhou is currently a professor in School of Computer Science and Engineering, North Minzu University, Yinchuan, China. He is also a Ph.D. Supervisor in Institute for Medical Informatics, University of Huaqiao, Fuzhou, China. He obtained his PhD degree from Computer Science and technology, Northwestern Poly-technology Univ. in China. he has been a visiting scholar in The University of Leicester, UK. Chinese University of Hong Kong, HK, ShanDong University, China. His research interests include pattern recognition, machine learning, machine vision, medical image analysis. He has published over 220 academic papers in top journal or conference, such as Information Fusion, Applied Soft Computing, CIBM, CMPB, BSPC, Acta Electronica Sinica, et. al., 3 ESI Papers. he has published 3 books, Furthermore, he has obtained 6 authorized patents. He served for the NCIG2020,ICIG2021,ICIGP 2022 & IFSP2022，ICDIP2022 as Technical Co-Chair or Publicity Co-Chair.

Prof. Xin Yuan
Westlake University

Experience:Xin Yuan received his B.Eng. and M.Eng. degrees from Xidian University, in 2007 and 2009, respectively, and his Ph.D. degree from The Hong Kong Polytechnic University in 2012. From 2012 to 2015, he had been a Postdoctoral Associate with the Department of Electrical and Computer Engineering, Duke University, where he was working on compressive sensing and machine learning. From 2015 to 2021, he was a Video Analysis and Coding Lead Researcher at Bell Labs, Murray Hill, NJ 07974, USA. He has been the Associate Editor of Pattern Recognition since 2019. Dr. Yuan Joined the Westlake University in 2021 as an Associate Professor in School of Engineering.