Computational Imaging and Computational Radiotherapy
数学专题报告
报告题目(Title)：Computational Imaging and Computational Radiotherapy
报告人(Speaker)：刘九龙（中国科学院数学与系统科学研究院）
地点(Place)：后主楼 1225
时间(Time)：2024年11月15日 周五 16:00-17:00
邀请人(Inviter)：蔡永强
报告摘要
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 solve results demonstrating our approach to efficiently and robustly solve challenges in Flash radiotherapy planning and Robust radiotherapy planning.
主讲人简介
刘九龙，中国科学院数学与系统科学研究院副研究员。2017年博士毕业于上海交通大学数学科学学院，随后在新加坡国立大学数学系从事博士后研究。他的研究兴趣涵盖反问题与医学成像，放疗规划等方面，以及与机器学习的交叉融合。他在SIAM Journal on Imaging Sciences、Inverse Problems、IEEE Transactions on Medical Imaging 等杂志以及ICLR、 CVPR、 MICCAI等机器学习会议上发表了十多篇相关研究的论文。
