Dr. Wei Qu Profile

Dr. Wei Qu

at Univ of Illinois at Chicago

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 17 March 2008 Paper

AutoEDES: a model-based Bayesian framework for automatic end-diastolic and end-systolic frame selection in angiographic image sequence

Wei Qu, Sukhveer Singh, Mike Keller

Proceedings Volume 6915, 69153B (2008) https://doi.org/10.1117/12.769693

KEYWORDS: Angiography, X-rays, X-ray imaging, Model-based design, Electrocardiography, Chest, Medical imaging, Heart, Image segmentation, Visual process modeling

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Proceedings Article | 11 March 2008 Paper

Segmentation in noisy medical images using PCA model based particle filtering

Wei Qu, Xiaolei Huang, Yuanyuan Jia

Proceedings Volume 6914, 69143I (2008) https://doi.org/10.1117/12.769852

KEYWORDS: Image segmentation, Medical imaging, Principal component analysis, Particle filters, Particles, X-ray imaging, X-rays, Image filtering, Ultrasonography, Image processing algorithms and systems

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Proceedings Article | 29 January 2007 Paper

Bayesian distributed articulated object tracking using multiple collaborative trackers

Wei Qu, Dan Schonfeld

Proceedings Volume 6508, 65080K (2007) https://doi.org/10.1117/12.701983

KEYWORDS: Motion models, Detection and tracking algorithms, Video, 3D modeling, Algorithm development, Expectation maximization algorithms, Systems modeling, Particle filters, Data modeling, Monte Carlo methods

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Proceedings Article | 19 January 2006 Paper

Parallel multiple target tracking using multiple cooperative trackers

Wei Qu, Dan Schonfeld, Magdi Mohamed

Proceedings Volume 6077, 60770V (2006) https://doi.org/10.1117/12.640764

KEYWORDS: Data modeling, Detection and tracking algorithms, Video, Visualization, Particle filters, Particles, Magnetism, Statistical analysis, Electrochemical etching, Physical research

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Proceedings Article | 14 March 2005 Paper

Detection-based particle filtering for real-time multiple-head tracking applications

Wei Qu, Dan Schonfeld

Proceedings Volume 5685, (2005) https://doi.org/10.1117/12.584594

KEYWORDS: Particle filters, Particles, Skin, Motion estimation, Motion models, Motion detection, Head, Video, Electronic filtering, Image processing

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