Dr. Reheman Baikejiang Profile

Dr. Reheman Baikejiang

Postdoctoral Scholar at Univ of California Davis

SPIE Involvement:

Author

Area of Expertise:

Biomedical Imaging , Biomedical Image Reconstruction , Biomedical Optics , Convex Optimization , Machine Learning , Data Science

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Company Website

Profile Summary

Postdoctoral scholar at Department of Biomedical Engineering, University of California, Davis.

Publications (7)

Proceedings Article | 28 May 2019 Paper

Generative adversarial networks based regularized image reconstruction for PET

Zhaoheng Xie, Reheman Baikejiang, Kuang Gong, Xuezhu Zhang, Jinyi Qi

Proceedings Volume 11072, 110720P (2019) https://doi.org/10.1117/12.2534842

KEYWORDS: Positron emission tomography, Image restoration, Denoising, Neural networks, Computed tomography, Image quality, Reconstruction algorithms

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Proceedings Article | 24 August 2017 Presentation + Paper

Non-convex Shannon entropy for photon-limited imaging

Lasith Adhikari, Reheman Baikejiang, Omar DeGuchy, Roummel Marcia

Proceedings Volume 10394, 103940L (2017) https://doi.org/10.1117/12.2274466

KEYWORDS: Image information entropy, Signal detection, Astronomy, Compressed sensing, Nuclear medicine, Night vision, Photons, Cameras, Image sensors

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SPIE Journal Paper | 2 May 2017 Open Access

Anatomical image-guided fluorescence molecular tomography reconstruction using kernel method

Reheman Baikejiang, Yue Zhao, Brett Fite, Katherine Ferrara, Changqing Li

JBO, Vol. 22, Issue 05, 055001, (May 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.5.055001

KEYWORDS: Numerical simulations, Image quality, Image segmentation, Computed tomography, Magnetic resonance imaging, Luminescence, Tomography, Fluorescence tomography, Computer simulations, Reconstruction algorithms

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Proceedings Article | 17 February 2017 Paper

Gaussian kernel based anatomically-aided diffuse optical tomography reconstruction

Reheman Baikejiang, Wei Zhang, Changqing Li

Proceedings Volume 10059, 1005912 (2017) https://doi.org/10.1117/12.2252786

KEYWORDS: Reconstruction algorithms, Diffuse optical tomography, Image restoration, Spatial resolution, Image quality, Computed tomography, Inverse problems, Nonlinear optics, Machine learning, Absorption, Numerical simulations, Image segmentation, CT reconstruction, X-ray computed tomography

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Proceedings Article | 15 February 2017 Paper

Application of kernel method in fluorescence molecular tomography

Yue Zhao, Reheman Baikejiang, Changqing Li

Proceedings Volume 10057, 100570P (2017) https://doi.org/10.1117/12.2252782

KEYWORDS: Luminescence, Fluorescence tomography, Tomography, Reconstruction algorithms, Image segmentation, Inverse problems, Numerical simulations, Spatial resolution, Computed tomography, Photons

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Proceedings Article | 29 March 2016 Paper

CT guided diffuse optical tomography for breast cancer imaging

Reheman Baikejiang, Wei Zhang, Dianwen Zhu, Changqing Li

Proceedings Volume 9788, 97882K (2016) https://doi.org/10.1117/12.2216402

KEYWORDS: Imaging systems, Computed tomography, Electron multiplying charge coupled devices, Cameras, Breast cancer, Breast, Absorption, Mammography, Calibration, Tissues

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Proceedings Article | 5 March 2015 Paper

Fluorescence molecular imaging system with a novel mouse surface extraction method and a rotary scanning scheme

Yue Zhao, Dianwen Zhu, Reheman Baikejiang, Changqing Li

Proceedings Volume 9319, 93190T (2015) https://doi.org/10.1117/12.2076476

KEYWORDS: Imaging systems, Cameras, Calibration, Mirrors, Luminescence, Phase shifting, Fringe analysis, Clouds, Photons, Reconstruction algorithms

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Showing 5 of 7 publications

Course Instructor

NON-SPIE: Teaching Assistant

Teaching variety of math discussion sections, such as calculus, vector calculus, differential equations, linear algebra, probability and statistics, statistics for scientific data analysis.

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