In this talk we will introduce the latest progress of our research that combines principles of computational learning, neural nets, sparse methods, mixed norms, dictionary learning, and deformable modeling methods. Together with SenseTime, we have launched a joint lab in Princeton, New Jersey, to work on cutting-edge research in medical image analysis, and to collaborate with hospitals, medical schools, and pharmaceutical companies on practical use cases.  For example, we are working on the analysis of cardiovascular images and histopathological images, such as detection, segmentation and tracking. Our methods won several champions in MICCAI 2018 grand challenges. We will introduce our algorithms and solutions in these challenges. We also welcome the collaborations with hospitals and clinical practitioners in China, to advance the technologies in these fields.

BIO INFO

Dr. Dimitris Metaxas is a Distinguished Professor and Chair of the Computer Science Department at Rutgers University. He is director of the Center for Computational Biomedicine, Imaging and Modeling (CBIM). From September 1992 to September 2001 he was a tenured faculty member in the Computer and Information Science Department of the University of Pennsylvania and Director of the VAST Lab. Prof. Metaxas received a Diploma in Electrical Engineering from the National Technical University of Athens Greece in 1986, an M.Sc. in Computer Science from the University of Maryland, College Park in 1988, and a Ph.D. in Computer Science from the University of Toronto in 1992. Dr. Metaxas has been conducting research towards the development of formal methods to advance medical imaging, computer vision, computer graphics, and understanding of multimodal aspects of human language.  His research emphasizes the development of formal models in shape representation, deterministic and statistical object modeling and tracking, sparse learning methods for segmentation and restoration, and organ motion analysis. Since 2018 he has been collaborating with Sensetime towards cutting edge new research in medical image analytics as well as collaborations with medical schools and the pharmaceutical industry.  Dr. Metaxas has published over 500 research articles in these areas and has graduated 47 PhD students. The above research has been funded by NSF, NIH, ONR, AFOSR, DARPA, HSARPA and the ARO. Dr. Metaxas has received several best paper awards, and he has 7 patents. He was awarded a Fulbright Fellowship in 1986, is a recipient of an NSF Research Initiation and Career awards, an ONR YIP, and is a Fellow of the MICCAI Society, a Fellow the American Institute of Medical and Biological Engineers and a Fellow of IEEE. He has been involved with the organization of several major conferences in vision and medical image analysis, including ICCV 2007, ICCV 2011, MICCAI 2008 and CVPR 2014.