主题:
阿尔茨海默病的多中心智能诊断
讲座时间与地点
2024年6月13日(周四)
09:30 AM - 10:30 AM
SEK108, 1/F, Simon & Eleanor Kwok Building
主讲人介绍
雷柏英教授
国家级青年人才入选者,深圳大学特聘教授,西安电子科技大学客座教授,博士生导师,深圳市海外高层次人才 (孔雀计划)、获新加坡南洋理工大学博士学位。主要研究方向为医学图像处理和人工智能。在IEEE TMI 和Medical Image Analysis 以第一/通讯作者 (含共同)发表SCI论文100余篇(6篇ESI高被引,1篇热点论文)。谷歌学术总引用超9500次,H指数48。主持国家自然科学基金联合基金重点1项,面上2项等项目20余项(含国家级7项)。现任IEEE TNNLS、TCYB、TMI、JBHI、Medical Image Analysis等10种SCI期刊编委。IEEE BISP、BIIP、BSP 等技术委员会委员,医学图像顶级学术会议MICCAI领域主席(2021-2023)。IEEE 广州分部WIE主席,人工智能A类会议AAAI、IJCAI程序委员会委员,入选美国斯坦福大学发布的“全球前2%顶尖科学家”(2020-2023),获 “强国青年科学家”提名(2022,全国共40人),CSIG石青云女科学家奖(2022)
讲座内容介绍
Alzheimer's disease (AD) is a neurodegenerative disease, which widely occurs in the elderly. Itsearly diagnosis based on artificial intelligence technology is of great clinical significance, butthe established intelligent diagnosis model often performances bad in generalization. In thisregard, we have carried out extensive research on the multi-center problem in AD intelligentdiagnosis, including: multi-center data difference analysis, deep feature learning algorithm,federal learning to protect data privacy, multi-omics and multimodal data fusion, large modeldevelopment and so on. The experimental results show that our multi-center study caneffectively suppress data differences, realize deep feature learning, and improve the accuracyof early diagnosis.
联系我们
Enquiry: sds@ln.edu.hk
Registration: https://forms.office.com/r/L1inVVwFdy