BIBE-BIC' 24: Biomedical Imaging and Computing
Biomedical imaging plays a critical role in biology and medicine, from basic research to diagnostics and treatment. Biomedical computing combines the diagnostic and investigative aspects of biology and medical science with the power and problem-solving capabilities of modern computing, such as image processing, machine learning, deep learning, pattern recognition.
This special session aims at exploring the new methods and technologies for biomedical imaging and analysis. These methods and technologies are expected to be used in the assisted diagnosis. This will reduce the work burden of doctors and improve the diagnostic efficiency.
BIBE-BIC' 24 topics include but are not limited to
1. Imaging-related clinical studies and applications
2. Multi-modal data fusion for assisted diagnosis
3. Biomedical image analysis
4. Biomarker discovery
5. Image formation and reconstruction
6. Transformer-related models in medical imaging
7. Transfer learning in medical imaging
8. Image synthesis and augmentation
9. AI-for-human in medical imaging
10. Unsupervised and semi-supervised learning in medicine
BIBE-BIC' 24 organizer/session chair
Professor Zhengyao Bai
PhD in Information and Communication Engineering, Beijing Institure of Technology (BIT), 2004. He is a professor of the School of Information Technology, Yunnan University. He was a visiting scholar at the University of Toronto, Canada. He is a member of IEEE, senior member of China Institute of Electronics(CIE), member of China Computer Federation (CCF); member of Digital Health Committee of China Society for the Promotion of Science and Technology Commercialization, Vice Chairman of Digital Medicine Branch of Yunnan Medical Association, editorial board member of Radiology Science, reviewer of many international famous journals; He has presided and completed 5 provincial and national fund projects and major science and technology special projects, published more than 80 academic papers, 4 textbooks, 2 monographs, and 1 translated works. His research interests are signal processing, image processing, pattern recognition and machine learning. His main research fields are medical image processing and analysis, computer aided diagnos based on artificial intelligence (AI), 3D modeling and neural radiation field rendering.
Committee Member
Yang Ke, MD, PhD
Associate Professor
Organization: Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Kunming Medical University
熊静
昆明医科大学第二附属医院神经内科主任医师、医学博士，硕士生导师，云南省医学学科带头人，澳大利亚南澳大学访问学者。
中国医师协会神经内科分会脑与脊髓学组委员；中国卒中学会移动医疗分会委员；中国医师协会神经内科分会青年委员；中国老年学会照料管理专业委员会委员；云南省医学会科学普及分会副主任委员；云南省医学会神经内科分会常委；云南省医师协会神经内科医师分会常委；云南省医学会神经电生理委员会常委；云南省抗癫痫协会常务理事；云南省卒中学会理事，云南省科普讲解十佳使者
主持云南省科研基金5项，参与国自然基金2项，973计划1项。获云南省科技进步二、三等奖。全国科普讲解大赛二等奖。近三年第一作者发表学术论文20余篇。主编/副主编著作3部，参与编写专家共识4部。
主要研究领域：认知障碍、阿尔茨海默病、神经感染和免疫性疾病