Mr. Ryan P. Burke Profile

Ryan P. Burke

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Publications (4)

Proceedings Article | 21 March 2016 Paper

Evaluation of body-wise and organ-wise registrations for abdominal organs

Zhoubing Xu, Sahil Panjwani, Christopher Lee, Ryan Burke, Rebeccah Baucom, Benjamin Poulose, Richard Abramson, Bennett Landman

Proceedings Volume 9784, 97841O (2016) https://doi.org/10.1117/12.2217082

KEYWORDS: Image registration, Abdomen, Computed tomography, Image analysis, Natural surfaces, Image segmentation, Image restoration, Biological research, Kidney, Medical imaging, Brain, Spleen, Image processing

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Proceedings Article | 20 March 2015 Paper

Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy

Christopher Lee, Zhoubing Xu, Ryan Burke, Rebeccah Baucom, Benjamin Poulose, Richard Abramson, Bennett Landman

Proceedings Volume 9413, 94131N (2015) https://doi.org/10.1117/12.2081045

KEYWORDS: Image registration, Computed tomography, Image segmentation, Kidney, Brain, Liver, Spleen, Image processing, Neuroimaging, Esophagus

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Proceedings Article | 20 March 2015 Paper

Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning

Zhoubing Xu, Ryan Burke, Christopher Lee, Rebeccah Baucom, Benjamin Poulose, Richard Abramson, Bennett Landman

Proceedings Volume 9413, 94130L (2015) https://doi.org/10.1117/12.2081012

KEYWORDS: Image segmentation, Spleen, Kidney, Tissues, Image registration, Error analysis, Liver, Computed tomography, Abdomen, Expectation maximization algorithms

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Proceedings Article | 17 March 2015 Paper

Multi-atlas segmentation for abdominal organs with Gaussian mixture models

Ryan Burke, Zhoubing Xu, Christopher Lee, Rebeccah Baucom, Benjamin Poulose, Richard Abramson, Bennett Landman

Proceedings Volume 9417, 941707 (2015) https://doi.org/10.1117/12.2081061

KEYWORDS: Image segmentation, Computed tomography, Detection and tracking algorithms, Performance modeling, Veins, Expectation maximization algorithms, Image registration, Medical imaging, Brain, 3D modeling

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