Lecture time

June 6, 2025 9:30-12:00

Lecture location

Conference Room 809, Building 1, Jinfeng Laboratory

Lecture Topic 1: "Intelligent Medical Imaging and Processing"

Introduction to the speaker

Chen Yang is a professor at the School of Computer Science, Southeast University, deputy director of the Key Laboratory of the Ministry of Education, a recipient of the National Outstanding Young Science Foundation, and the head of the Ministry of Science and Technology’s key research and development project. The research direction focuses on medical imaging and intelligent imaging analysis, serves domestic high-end medical equipment and clinical applications, and has published more than 100 papers, and has been published by Elsevier for high-cited scholars from 2022 to 2024.

Lecture introduction

The report focuses on intelligent medical imaging and processing, focusing on high-quality imaging technology based on feature learning in clinical task-driven intelligent medical imaging, the research and development and embedding of core algorithms of domestic medical imaging equipment, and clinical task-driven medical imaging processing. It mainly talks about four parts: intelligent medical imaging, imaging algorithm application, intelligent image processing and application, and cross-research thinking of medical and industrial industry.

Lecture topic 2: "Beyond The Eye: Exploring brain diseases through intelligent ophthalmic image analysis"

Introduction to the speaker

Zhao Yitian served as a researcher, doctoral supervisor, and deputy director of the Advanced Diagnosis and Treatment Laboratory of the Chinese Academy of Sciences. He is mainly engaged in the research on artificial intelligence + ophthalmic medical imaging analysis. In recent years, he has focused on ophthalmic multimodal images and carried out intelligent diagnostic algorithm research and equipment development for related diseases such as eyes, brain, and heart. He has successively presided over the National Excellent Youth Fund, the National Key R&D Program, the Zhejiang Outstanding Youth Fund, and the China Association for Science and Technology Youth Talent Recruitment Project. More than 100 papers have been published in top international journals and conferences in industries such as Nature Machine Intelligence, npj Digital Medicine, IEEE PAMI, IJCV, IEEE-TMI, MedIA, CVPR, MICCAI, etc., with a total academic citation of more than 9,000 times, and the highest number of citations per article has exceeded 2,200 times. He is currently the editorial board member/deputy editor of IEEE Trans. Medical Imaging and Medical Physics.

Lecture introduction

Due to the complexity of the brain, fuzzy evaluation indicators and the lack of direct observation methods, early screening of cerebrovascular and neurodegenerative diseases such as Alzheimer's disease (AD) and stroke is a difficult issue in the medical field. PET, MRI, DSA, cognitive testing and other methods used routinely in clinical practice have problems such as huge equipment, high cost, radiation or traumaticity, and long-term detection. It is not suitable for grassroots popularization and large-scale screening of people. Therefore, exploring efficient and non-invasive screening methods has become an urgent need and research hotspot for early prevention. The eyes and brain have high developmental homology and functional similarity, and the eyes potentially become an excellent observation window for studying the brain. This report will introduce the reporter's research on multimodal ophthalmic medical image processing in recent years, mainly including the research on algorithms such as image enhancement, structure extraction and segmentation, feature quantification, and disease diagnosis. Focusing on issues such as difficulty in large-scale screening of neurodegenerative diseases such as Alzheimer's disease, we explore the correlation between brain diseases and various eye imaging characteristics, reveal the internal connection and rules of brain diseases and retinal structural changes, and provide scientific foundation and technical support for early accurate auxiliary diagnosis.