题 目：deep learning in ct imaging: where are we now?
主讲人：张意 教授
单 位：四川大学
时 间：8月12日 16:30
地 点：九章学堂南楼c座302
摘 要：since the publication of the first deep learning-based ct reconstruction work, nearly ten years have passed, and many outstanding contributions have emerged in this field. however, during the promotion of these technologies, issues such as generalizability, interpretability, and security have posed significant challenges, making clinical translation very difficult. this report mainly introduces the series of works and research progress of our group in this field, including low-dose ct reconstruction, sparse-angle ct reconstruction, and other related efforts. finally, it will provide an outlook on the future development trends of intelligent imaging methods based on machine learning.
简 介：yi zhang (senior member, ieee) received the b.s., m.s., and ph.d. degrees in computer science and technology from the college of computer science, sichuan university, chengdu, china, in 2005, 2008, and 2012, respectively. from 2014 to 2015, he was with the department of biomedical engineering, rensselaer polytechnic institute, troy, ny, usa, as a post-doctoral researcher. he is currently a full professor with the school of cyber science and engineering, sichuan university, and the director of the deep imaging group (dig). he has authored more than 100 articles in the field of medical imaging. these articles were published in several leading journals, including ieee transactions on medical imaging, medical image analysis, and international journal of computer vision. his research interests include medical imaging, compressive sensing, and deep learning. he is an associate editor of ieee transactions on medical imaging and ieee transactions on radiation and plasma medical sciences.