Jiazheng Shi, Ph.D.
Affiliations: | 2005 | The University of Nebraska - Lincoln, Lincoln, NE |
Area:
Computer ScienceGoogle:
"Jiazheng Shi"Parents
Sign in to add mentor| Stephen E. Reichenbach | grad student | 2005 | University of Nebraska - Lincoln | |
| (Two -dimensional cubic convolution for image interpolation, restoration, and super -resolution.) | ||||
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Publications
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| Shi J, Sahiner B, Chan HP, et al. (2009) Treatment response assessment of breast masses on dynamic contrast-enhanced magnetic resonance scans using fuzzy c-means clustering and level set segmentation. Medical Physics. 36: 5052-63 |
| Cui J, Sahiner B, Chan HP, et al. (2009) A new automated method for the segmentation and characterization of breast masses on ultrasound images. Medical Physics. 36: 1553-65 |
| Shi J, Sahiner B, Chan HP, et al. (2008) Characterization of mammographic masses based on level set segmentation with new image features and patient information. Medical Physics. 35: 280-90 |
| Wu YT, Shih FY, Shi J. (2008) A top-down region dividing approach for image segmentation Pattern Recognition. 41: 1948-1960 |
| Shi J, Sahiner B, Chan HP, et al. (2007) Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching. Medical Physics. 34: 1336-47 |
| Shi J, Reichenbach SE. (2006) Image interpolation by two-dimensional parametric cubic convolution. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 15: 1857-70 |
| Shi J, Reichenbach SE, Howe JD. (2006) Small-kernel superresolution methods for microscanning imaging systems. Applied Optics. 45: 1203-14 |
| Shi J, Reichenbach SE. (2006) Spatially constrained Wiener filter with Markov autocorrelation modeling for image resolution enhancement Proceedings - International Conference On Image Processing, Icip. 2681-2684 |
| Shi J, Samal A, Marx D. (2006) How effective are landmarks and their geometry for face recognition? Computer Vision and Image Understanding. 102: 117-133 |
| Shi J, Reichenbach SE, Howe JD. (2005) Cubic convolution for super-resolution from microscanned images Proceedings of Spie - the International Society For Optical Engineering. 5817: 13-24 |