中国科学院数学与系统科学研究院

科研进展与学术交流报告会

（第71期）

报告人一：周川 副研究员（应用数学研究所）

题目一：Graph Models and Algorithms

摘 要：Learning with graph structured data, such as social, biological, and financial networks, requires effective graph models and algorithms. This speech will mainly review some of our advances on graph models and algorithms.

报告人二：刘九龙 副研究员（计算数学与科学工程计算研究所）

题目二：Enabling advanced medical imaging and artificial intelligence for computational radiotherapy

摘要：Medical imaging, medical image analysis, and radiotherapy planning are fundamental computational tasks within radiotherapy, directly impacting treatment accuracy. Over recent years, my focus has been on developing high-dimensional image processing and reconstruction methods. More recently, our research has shifted towards addressing mathematical challenges in advanced imaging and radiotherapy. In this talk, I will provide a quick overview of our previous work in reconstruction and medical image analysis. These efforts have been instrumental in refining radiotherapy dose distributions for enhanced interpretability by clinicians. Furthermore, I will discuss our ongoing efforts to synergize imaging techniques with advanced image analysis methods. Specifically, I will present preliminary results demonstrating our approach to efficiently and robustly solve challenges in Flash radiotherapy planning and Robust radiotherapy planning.

时  间：2024.6.7(星期五), 10:40-12:00

地  点：南楼204会议室/腾讯会议534-8268-8299

报告会视频

注：本视频未经允许不得转载，违者将依法追究侵权法律责任。