Dr. Jingdan Zhang Profile

Dr. Jingdan Zhang

at Siemens Corp Corporate Technology

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Author

Publications (4)

Proceedings Article | 21 March 2014 Paper

Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization

Felix Lugauer, Jingdan Zhang, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm

Proceedings Volume 9034, 90343U (2014) https://doi.org/10.1117/12.2043238

KEYWORDS: Arteries, Calcium, Image segmentation, Data modeling, Computer aided diagnosis and therapy, Angiography, Sensors, Databases, Computed tomography, Tissues

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Proceedings Article | 9 March 2011 Paper

An image analysis system for near-infrared (NIR) fluorescence lymph imaging

Jingdan Zhang, Shaohua Kevin Zhou, Xiaoyan Xiang, John Rasmussen, Eva Sevick-Muraca

Proceedings Volume 7965, 796513 (2011) https://doi.org/10.1117/12.878828

KEYWORDS: Lymphatic system, Near infrared, Image analysis, Imaging systems, Luminescence, Algorithm development, Detection and tracking algorithms, Video, Automatic tracking, Image processing

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Proceedings Article | 11 February 2011 Paper

Validation of ALFIA: a platform for quantifying near-infrared fluorescent images of lymphatic propulsion in humans

John Rasmussen, Merrick Bautista, I-Chih Tan, Kristen Adams, Melissa Aldrich, Milton Marshall, Caroline Fife, Erik Maus, Latisha Smith, Jingdan Zhang, Xiaoyan Xiang, Shaohua Kevin Zhou, Eva Sevick-Muraca

Proceedings Volume 7902, 79021K (2011) https://doi.org/10.1117/12.875511

KEYWORDS: Lymphatic system, Near infrared, Luminescence, MATLAB, Neodymium, Image analysis, Algorithm development, Medicine, Capillaries, Imaging systems

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Proceedings Article | 9 March 2010 Paper

Database-guided breast tumor detection and segmentation in 2D ultrasound images

Jingdan Zhang, Shaohua Zhou, Shelby Brunke, Carol Lowery, Dorin Comaniciu

Proceedings Volume 7624, 762405 (2010) https://doi.org/10.1117/12.844558

KEYWORDS: Tumors, Image segmentation, Ultrasonography, Breast, Image processing algorithms and systems, Breast cancer, Computer aided diagnosis and therapy, Detection and tracking algorithms, Databases, Medical imaging

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