Pengcheng SHI (PhD, Yale, 1996)

Assistant Professor

Research Interests

Visual information processing and its applications in biomedicine: medical imaging, image-guided diagnosis and interventions, computer vision and pattern recognition, virtual and augmented reality, physiological system modeling.

Professor Pengcheng Shi received his BS degree in Biomedical Engineering from Shanghai Jiaotong University in 1989, and his MS, MPhil, and PhD degrees in Electrical Engineering from Yale University in 1992, 1993, and 1996, respectively. Before joining HKUST in 1999, Professor Shi was with the Yale University School of Medicine and the National Institutes of Health from 1996 to 1999.

Professor Shi is a recipient of the US National Research Service Award for his pioneering work on applying biomechanics based strategy to medical image understanding. He also won a best paper award in IEEE Northeast Bioengineering Conference, and a University Fellowship from Yale University.

Recent Publications

• A.J. Sinusas, X. Papademetris, R.T. Constable, D.P. Dione, M.D. Slade, P.C. Shi, and J.S. Duncan, "Quantification of 3D Regional Myocardial Deformation: Shape-based Analysis of Magnetic Resonance Images", American Journal of Physiology - Heart and Circulatory Physiology, Vol. 281, No. 2, pp. H698-H714, 2001.
• P. Shi and A.J. Sinusas, "Image Based Stochastic Mechanics Framework for Noninvasive Recovery of Myocardial Material Properties", World Congress on Medical Physics and Biomedical Engineering, CD-ROM, 2000.
• P. Shi, A.J. Sinusas, R.T. Constable, E. Ritman, and J.S. Duncan, "Point-Tracked Quantitative Analysis of Left Ventricular Motion from 3D Image Sequences", IEEE Transactions on Medical Imaging, Vol. 19 No. 1, pp. 36-50, 2000.
• P. Shi, A.J. Sinusas, R.T. Constable, and J.S. Duncan, "Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery", International Journal of Computer Vision, Vol. 35, No. 1, pp. 87-107, 1999.
• J.S. Duncan, P. Shi, R.T. Constable, and A.J. Sinusas, "Physical and Geometrical Modeling for Image-Based Recovery of Left Ventricular Deformation", Progress in Biophysics and Molecular Biology, Vol. 69, No. 2-3, pp. 333-351, 1998.