Academy of Mathematics and Systems Science, CAS Colloquia & Seminars | Speaker: | 董彬 长聘副教授,北京大学北京国际数学研究中心 | Inviter: | 陈冲 副研究员 | Title: | Data- and Task-Driven CT Imaging by Deep Learning | Time & Venue: | 2021.12.03 10:00-11:30 科技综合楼311教室 | Abstract: | In this talk, I will start with a brief review of the dynamics and optimal control perspective on deep learning. Then, I will present some of our recent studies on how this perspective may help us to advance CT imaging and image-based diagnosis further. Specifically, I will focus on how to combine the wisdom from mathematical modeling with ideas from deep learning. Such combination leads to new data-driven/task-driven image reconstruction models and new data-driven scanning strategies for CT imaging, and with a potential to be generalized to other imaging modalities. I will also briefly discuss how machine learning may advance computational imaging and some of the challenge we are facing. | | | |