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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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DTSTART;TZID=Asia/Hong_Kong:20250930T103000
DTEND;TZID=Asia/Hong_Kong:20250930T113000
DTSTAMP:20260510T144814
CREATED:20260128T064249Z
LAST-MODIFIED:20260128T064249Z
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SUMMARY:Seminar on AI Contrast Agents – AI to Eliminate Chemical Contrast Agents in Imaging
DESCRIPTION:Abstract\nChemical contrast agents have long been integral to clinical diagnostic imaging. However\, growing concerns about their safety\, cost\, and environmental impact have prompted the need for alternative solutions. In this talk\, Dr. Shuo Li will present his pioneering work on AI contrast-enhanced imaging—a transformative approach that leverages cutting-edge machine learning techniques to synthesize contrast-enhanced images without the use of chemical agents. This innovative technology not only reduces patient risk and healthcare costs but also opens new frontiers for precision imaging. Dr. Li will showcase recent breakthroughs from his lab\, highlight clinical applications across cardiology\, oncology\, and neurology\, and discuss the future potential of AI-driven imaging in reshaping medical diagnostics. \nSpeaker\nProf. Shuo Li\nLeonard Case\, Jr. Endowed Professor\,\nCase Western Reserve University \nSpeaker’s Biography\nProf. Li is a global leader in conducting multi-disciplinary research to enable artificial intelligence (AI) in healthcare. He is a Leonard Case\, Jr. endowed professor at Case Western Reserve University (USA). Before that\, he was an associate professor at Western University (Canada) and a scientist at the Lawson Health Research Institute. He was a scientist at GE Healthcare (2006-2015). He is a committee member in multiple highly influential conferences and societies. He is most notable for serving on the prestigious board of directors in the MICCAI society (2015-2024)\, where he is also the general chair for the MICCAI 2022 conference\, which is the most influential AI-in-imaging conference. He has over 300 publications\, acted as the editor for six Springer books\, and serves as an associate editor for several prestigious journals in the field. Throughout his career\, he has received several awards from GE\, various institutes\, and international organisations. He is a Fellow of SPIE\, AAIA\, IET\, AIMBE\, and IAMBE\, and a member of the National Academy of Artificial Intelligence (NAAI). \nOrganiser\nProf. Cheng Chen\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nAll are welcome!
URL:https://ece.hku.hk/events/20250930-1/
CATEGORIES:Highlights
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