Ms. Xinyuan C. Chen Profile

Xinyuan C. Chen

PhD Candidate

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Author

Publications (5)

Proceedings Article | 4 April 2022 Presentation + Paper

Dose prediction in proton cancer therapy based on density maps from dual-energy CT using joint statistical image reconstruction

Maria Jose Medrano Matamoros, Xinyuan Chen, Tao Ge, Tianyu Zhao, Rui Liao, David Politte, Jeffrey Willamson, Bruce Whiting, Yao Hao, Baozhou Sun, Joseph O'Sullivan

Proceedings Volume 12031, 1203119 (2022) https://doi.org/10.1117/12.2611801

KEYWORDS: Monte Carlo methods, Computed tomography, Cancer, Error analysis, Image restoration, Calibration, Tumors, Statistical modeling, Signal processing

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Proceedings Article | 9 March 2018 Presentation + Paper

Evaluation of statistical breast phantoms with higher resolution

Jayasai Rajagopal, Gregory Sturgeon, Xinyuan Chen, Thomas Sauer, W. Segars, Joseph Lo, Yinhao Ren

Proceedings Volume 10573, 1057307 (2018) https://doi.org/10.1117/12.2294049

KEYWORDS: Breast, Principal component analysis

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Proceedings Article | 9 March 2017 Presentation + Paper

Detectability of artificial lesions in anthropomorphic virtual breast phantoms of variable glandular fraction

Thomas Sauer, Christian Graff, Rongping Zeng, Maira Santana, Gregory Sturgeon, Hilde Bosmans, Stephen Glick, Xinyuan Chen, W. Segars, Joseph Lo

Proceedings Volume 10132, 101321X (2017) https://doi.org/10.1117/12.2255896

KEYWORDS: Breast, Systems modeling, Tissues, Image segmentation, Visualization, Digital breast tomosynthesis, Sensors, Signal attenuation, Reconstruction algorithms, Volume rendering, Radiology

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Proceedings Article | 9 March 2017 Presentation + Paper

High-resolution, anthropomorphic, computational breast phantom: fusion of rule-based structures with patient-based anatomy

Xiaolin Gong, Christian Graff, Maira Santana, Gregory Sturgeon, Thomas Sauer, Rongping Zeng, Stephen Glick, Joseph Lo, Xinyuan Chen

Proceedings Volume 10132, 101321W (2017) https://doi.org/10.1117/12.2255913

KEYWORDS: Breast, Image segmentation, Image processing, Mammography, Digital breast tomosynthesis, 3D modeling, 3D acquisition, Blood vessels, Mathematical modeling, Digital mammography

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Proceedings Article | 28 September 2016 Presentation + Paper

Deep RNNs for video denoising

Li Song, Xiaokang Yang, Xinyuan Chen

Proceedings Volume 9971, 99711T (2016) https://doi.org/10.1117/12.2239260

KEYWORDS: Video, Denoising, Neural networks, Associative arrays, Motion models, Video processing, Video acceleration, Visualization, Visual process modeling, 3D modeling

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