Dr. Dee H. Wu Profile

Dr. Dee H. Wu

at Univ of Oklahoma Health Sciences Ctr

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Author

Publications (4)

Proceedings Article | 4 April 2022 Presentation + Paper

Developing interactive computer-aided detection tools to support translational clinical research

Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith Jones, Tiancheng Gai, Sai Kiran Maryada, Dee Wu, Yuchen Qiu, Bin Zheng

Proceedings Volume 12035, 1203503 (2022) https://doi.org/10.1117/12.2607273

KEYWORDS: Image segmentation, Computer aided diagnosis and therapy, Brain, Artificial intelligence, Medical imaging, Clinical research, Neuroimaging, Computer aided design, Computed tomography, Visualization

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Proceedings Article | 13 March 2017 Presentation + Paper

Implementation of a computer-aided detection tool for quantification of intracranial radiologic markers on brain CT images

Faranak Aghaei, Stephen Ross, Yunzhi Wang, Dee Wu, Benjamin Cornwell, Bappaditya Ray, Bin Zheng

Proceedings Volume 10138, 1013805 (2017) https://doi.org/10.1117/12.2254094

KEYWORDS: Brain, Image segmentation, Computed tomography, Blood, Computer-aided diagnosis, Computer aided diagnosis and therapy, Skull, Image processing algorithms and systems, Tissues, Image processing, Visualization

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Proceedings Article | 5 March 2007 Paper

Partial volume correction of magnetic resonance spectroscopic imaging

Yao Lu, Dee Wu, Vincent Magnotta

Proceedings Volume 6512, 651243 (2007) https://doi.org/10.1117/12.706903

KEYWORDS: Spectroscopy, Tissues, Imaging spectroscopy, Brain, Magnetic resonance imaging, Scanners, Tissue optics, Neuroimaging, Data acquisition, Image analysis

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Proceedings Article | 10 March 2006 Paper

Improved method for correction of systematic bias introduced by the sub-voxel image registration process in functional magnetic resonance imaging (fMRI)

Dee Wu, Jasjit Suri, Vincent Magnotta, Tomasz Przebinda, Victor DeBrunner

Proceedings Volume 6144, 61440U (2006) https://doi.org/10.1117/12.655309

KEYWORDS: Functional magnetic resonance imaging, Image registration, Statistical analysis, Image processing, Brain, Computer simulations, Monte Carlo methods, Neuroimaging, Magnetic resonance imaging, Signal attenuation

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