Yongjian Yu, Ph.D.

Affiliations: 
2003 University of Virginia, Charlottesville, VA 
Area:
Electronics and Electrical Engineering, Biomedical Engineering
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"Yongjian Yu"

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Scott T. Acton grad student 2003 UVA
 (Ultrasound image enhancement for detection of contours using speckle -reducing anisotropic diffusion.)
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Publications

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Yu Y, Wang J. (2020) Detection of Filamentous Microorganisms in Fluorescence Microscopy Images. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1895-1898
Yu Y, Wang J. (2016) Enclosure Transform for Interest Point Detection from Speckle Imagery. Ieee Transactions On Medical Imaging
Yu Y, Wang J. (2013) Heel effect adaptive flat field correction of digital x-ray detectors. Medical Physics. 40: 081913
Yu Y, Wang J. (2010) Backscatter-contour-attenuation joint estimation model for attenuation compensation in ultrasound imagery. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 19: 2725-36
Yu Y, Molloy J. (2005) TH‐C‐I‐609‐06: Freehand Scan Ultrasound Reconstruction Based On Optimal 3D Grid Selection and Anisotropic Diffusion Interpolation Medical Physics. 32: 2155-2155
Yu Y, Molloy JA, Acton ST. (2004) Segmentation of the prostate from suprapubic ultrasound images. Medical Physics. 31: 3474-84
Yu Y, Acton ST. (2004) Edge detection in ultrasound imagery using the instantaneous coefficient of variation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 13: 1640-55
Yu Y, Molloy JA, Acton ST. (2004) Generalized speckle reducing anisotropic diffusion for ultrasound imagery Proceedings of the Ieee Symposium On Computer-Based Medical Systems. 17: 279-284
Yu Y, Molloy JA, Acton ST. (2003) Three-dimensional speckle reducing anisotropic diffusion Conference Record of the Asilomar Conference On Signals, Systems and Computers. 2: 1987-1991
Yu Y, Acton ST. (2003) Active Contours with Area-Weighted Binary Flows for Segmenting Low SNR Imagery Ieee International Conference On Image Processing. 1: 129-132
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