Speech Title: A series of studies on in-body and ex-body intelligent auxiliary diagnosis of dementia
Abstract:
In recent years, through the research on key technologies for disease-assisted diagnosis, objective and quantitative beneficial supplements have been provided for the existing diagnosis methods based on clinical experience and subjective judgment. However, most medical imaging databases currently have a capacity that is less than that of general image databases, and the acquisition of medical images and the establishment of medical imaging databases differ from those of general images. There are problems such as high acquisition difficulty, high equipment requirements, high time costs, and a stronger economic demand. To achieve outstanding generalization performance of large-capacity deep learning models, the speaker focused on in-depth discussions on the key technologies for diagnosing neurodegenerative diseases in both in vivo and in vitro settings, including the generation of medical image data, based on the ideas of deep discriminative learning and generative adversarial learning.
Biography:
Huang Wei, male, born in 1983, is from Nanchang, Jiangxi Province. He is a member of the Jiusan Society. He holds the title of professor and is a doctoral supervisor. He is a member of the Jiangxi Provincial Committee of the Chinese People's Political Consultative Conference, a member of the Science and Technology Committee of the Central Committee of the Jiusan Society, the director of the Science and Technology Committee of the Jiangxi Provincial Committee of the Jiusan Society, and a standing committee member of the Jiangxi Provincial Committee of the Overseas Chinese Association. He received his bachelor's and master's degrees from Harbin Institute of Technology and his doctorate from Nanyang Technological University in Singapore. He has also served as a postdoctoral fellow at the University of California, San Diego and the Agency for Science, Technology and Research in Singapore. He previously worked at Nanchang University, where he held positions as the vice dean of the School of Information Engineering, the director of the Information Office (co-located with the Network Center), the dean of the School of Mathematics and Computer Science, and the executive vice dean of the Graduate School. Currently, he serves as the vice president of Yichun University.
As the first or corresponding author, I have published over a hundred papers in high-level academic journals and conferences in the field of computer science, including TMI, TMM, JBHI, TNNLS, CVPR, MICCAI, ACM-MM, KDD, AAAI, etc. I have undertaken more than twenty national, provincial and ministerial, and central enterprise-commissioned projects. I have been awarded as an advanced individual among overseas Chinese and their relatives, a high-end talent in scientific and technological innovation under the "Thousand Talents Plan" of the Provincial Talent Work Leading Group, a leading talent in the Provincial Key Discipline Academic and Technical Leading Talent Program, a provincial outstanding young scientist, and a provincial outstanding young researcher, etc. I have won over thirty domestic and international awards, including the second prize of the Jiangxi Provincial Natural Science Award (first author), the Best Paper Award of the first Machine Learning in Medical Imaging at the flagship conference MICCAI in the field of medical imaging (first author), and guiding postgraduate students to win the second place in the World Computer Olympiad and a series of Best Paper Awards at international academic conferences. I have been granted over ten national invention patents. I have participated in the writing and promulgation of over ten national and provincial and ministerial industry and group standards. Currently, I concurrently hold positions such as the chairman of the Jiangxi Computer User Association and a member of the Jiangxi Provincial Digital Government Construction Expert Consultative Committee, undertaking a series of social service and government think tank responsibilities.