10月25日 Nassir Navab:Robotic Imaging, Machine Learning and Augmented Reality for Multimodal Intra-operative Imaging and visualization


报告人简介:

Nassir Navab is a full Professor and Director of the Laboratory for Computer Aided Medical Procedures, Technical University of Munich and Johns Hopkins University. He has also secondary faculty appointments at both affiliated Medical Schools. He completed his PhD at INRIA and University of Paris XI, France, and enjoyed two years of post-doctoral fellowship at MIT Media Laboratory before joining Siemens Corporate Research (SCR) in 1994. At SCR, he was a distinguished member and received the Siemens Inventor of the Year Award in 2001. He received the SMIT Society Technology award in 2010 and the ‘10 years lasting impact award’ of IEEE ISMAR in 2015. In 2012, he was elected as a Fellow of the MICCAI Society. He has acted as a member of the board of directors of the MICCAI Society, 2007-2012 and 2014-2017, and serves on the Steering committee of the IEEE Symposium on Mixed and Augmented Reality (ISMAR) and Information Processing in Computer Assisted Interventions (IPACI). He is the author of hundreds of peer reviewed scientific papers, with more than 26680  citations and an h-index of 80 as of August 2019. He is author of more than thirty awarded papers including 10 at MICCAI and three at IEEE ISMAR. He is the inventor of 47 granted US. patents and more than 50 International ones. His current research interests include medical augmented reality, computer-aided surgery, medical robotics, and machine learning.


报告摘要:

  本次报告中将对我们在机器人成像、机器学习和医学增强现实方面的最新进展作概述。首先,我将讨论术中成像和可视化的特殊需求;随后,我将介绍一些我们在术中多模式机器人成像的最新成果及其在临床中的应用转化;紧接着,我将讨论机器学习研究进展对医学成像和计算机辅助干预的影响;最后,我将介绍虚拟现实(VR)和增强现实(AR)技术在医学领域的一些应用。从VR和AR技术在当前医学教育中的部署开始,我将讨论VR和AR技术在目前和未来对外科教育和培训方面的影响。 然后,我将回顾近二十年增强现实技术在手术室中的首次部署,并介绍我们在该领域的一些最新成就。









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