Pengcheng Shi
Affiliations: | Computing and Information Sciences | Rochester Institute of Technology, Rochester, NY, United States |
Area:
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"Pengcheng Shi"
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Publications
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Fang L, Xu J, Hu H, et al. (2019) Noninvasive imaging of epicardial and endocardial potentials with low rank and sparsity constraints. Ieee Transactions On Bio-Medical Engineering |
Zhang H, Gao Z, Xu L, et al. (2018) A Meshfree Representation for Cardiac Medical Image Computing. Ieee Journal of Translational Engineering in Health and Medicine. 6: 1800212 |
Liu H, Wang T, Xu L, et al. (2017) Spatiotemporal Strategies for Joint Segmentation and Motion Tracking From Cardiac Image Sequences. Ieee Journal of Translational Engineering in Health and Medicine. 5: 1800219 |
Liu H, Hu H, Sinusas AJ, et al. (2012) An H(∞) approach for elasticity properties reconstruction. Medical Physics. 39: 475-81 |
Wong KC, Wang L, Zhang H, et al. (2011) Physiological fusion of functional and structural images for cardiac deformation recovery. Ieee Transactions On Medical Imaging. 30: 990-1000 |
Wang L, Zhang H, Wong KCL, et al. (2009) Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform International Journal of Functional Informatics and Personalised Medicine. 2: 175-200 |
Chen Y, Ma J, Feng Q, et al. (2007) Nonlocal Prior Bayesian Tomographic Reconstruction Journal of Mathematical Imaging and Vision. 30: 133-146 |
Liu H, Hu H, Ken Wong CL, et al. (2005) Cardiac motion analysis using nonlinear biomechanical constraints. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2: 1578-81 |
Sinusas AJ, Papademetris X, Constable RT, et al. (2001) Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images. American Journal of Physiology. Heart and Circulatory Physiology. 281: H698-714 |
Shi P, Sinusas AJ, Constable RT, et al. (1999) Volumetric deformation analysis using mechanics-based data fusion: Applications in cardiac motion recovery International Journal of Computer Vision. 35: 87-107 |