Program Manager, Interventional Imaging
Chenyang Xu received the B.S. degree in computer science and engineering from the University of Science and Technology of China in 1993 and the M.S.E. and Ph.D. degrees in 1995 and 1999, respectively, from the Johns Hopkins University, all in electrical and computer engineering. He did his B.S. thesis with Prof. Guoliang Chen at the Massively Parallel Computing and Neural Network Laboratory. He did his M.S.E. and Ph.D. with Prof. Jerry L. Prince at the Image Analysis and Comunications Laboratory.
From March 1999 to September 2000, he was a postdoctoral fellow and then an associate research scientist of both the Center for Imaging Science and the Center for Computer Integrated Surgical Systems and Technology at the Johns Hopkins University.
Since September 2000, He has been with Siemens Corporate Research in Princeton. Between 2002 and 2004, he was a technical lead of the image fusion technology and applications with a main focus in interventional applications. Between 2004 and 2006, he was a project manager leading the image-guided intervention team for cath lab applications and responsible for multimodality image fusion technology innovation. Since 2006, he has been heading the Siemens Corporate Research Interventional Imaging Program at Princeton, USA and co-directing Siemens Center for Medical Imaging Validation (CMIV), Beijing, China.
At Siemens, he leads and manages geographically distributed R&D teams located in multiple cities at U.S. and China, constantly carrying out close R&D collaboration on new applications with clinicians, researchers, engineers at leading hospitals, universities, and industrial partners in U.S., Canada, Europe, and China. These R&D activities help to advance the Siemens global medical imaging technology innovations in the area of multi-modality imaging guided intervention and minimal invasive surgery, large scale medical image validation, new applications in emerging markets.
He is a Senior Member of IEEE and has served as program committee member on numerous leading international conferences in medical imaging and computer vision. He has published over 70 scientific publications in journals, books, and conference proceedings, contributed to over 10 products, and filed over 20 patent applications.
His research interests include image analysis, computer vision, image segmentation and registration, variational methods and partial differential equations, shape representation and analysis, deformable models, graph-based algorithms, statistical validation, and their applications in medical imaging, particularly intervention and minimal invasive surgery.
Two professional contribution highlights: