Quantitative neuroimaging analysis for monitoring disease progression in multiple sclerosis

Quantitative neuroimaging analysis for monitoring disease progression in multiple sclerosis

时间：2020年12月2日下午16:00 地点：腾讯会议 ID：406 863 692

报告简介：

Powered by deep learning solutions, we are able to provide a series of fine scale, highly reproducible measures for monitoring neurological disease progression in a completely automated manner. Clever informatics and regulatory-compliant development practices are also essential to facilitate the application of these tools in the real world, not just the AI lab. In this talk, we would like to share some of our experience with imaging biomarker development for multiple sclerosis, and also share our research in continue improving the specificity of imaging biomarkers with advanced imaging analysis.

报告人简介：

Chenyu (Tim) Wang is senior lecturer and NRF/MSRA Fellow at USYD, & Chief Operating Officer at Sydney Neuroimaging Analysis Centre. He has background in electrical engineering and PhD in MS neuroimaging biomarkers (awarded 2018 Peter Bancroft prize). He has 30+ journal papers with 662+ citations so far; His has had 8 invited national/international lectures and presented (on medical imaging AI) at NVIDIA GTC online 2020. Since 2018, he has been leading a group of 10+ AI scientist & software engineers at the USYD and SNAC, to deliver AI solutions and seamless clinical integration for clinical radiology and research.

计算机网络和信息集成教育部重点实验室（东南大学）