Dr. Chih-Wen Kan Profile

Dr. Chih-Wen Kan

at Univ of Texas at Austin

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Author

Publications (5)

Proceedings Article | 12 February 2011 Paper

Model-based design of optical diagnostic instrumentation

Chih-Wen Kan, Kort Travis, James Salazar, Konstantin Sokolov, Mia Markey

Proceedings Volume 7907, 79070I (2011) https://doi.org/10.1117/12.875885

KEYWORDS: Sensors, Monte Carlo methods, Scattering, Collimation, Tissue optics, Light scattering, Cancer, Polarization, Tissues, Signal detection

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SPIE Journal Paper | 1 July 2010 Open Access

Adaptive spectral window sizes for extraction of diagnostic features from optical spectra

Chih-Wen Kan, Andy Lee, Linda Nieman, Konstantin Sokolov, Mia Markey

JBO, Vol. 15, Issue 04, 047012, (July 2010) https://doi.org/10.1117/12.10.1117/1.3481143

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SPIE Journal Paper | 1 March 2008 Open Access

Probing local tissue changes in the oral cavity for early detection of cancer using oblique polarized reflectance spectroscopy: a pilot clinical trial

Linda Nieman, Chih-Wen Kan, Anne Gillenwater, Mia Markey, Konstantin Sokolov

JBO, Vol. 13, Issue 02, 024011, (March 2008) https://doi.org/10.1117/12.10.1117/1.2907450

KEYWORDS: Tissues, Tissue optics, Cancer, Diagnostics, Clinical trials, Polarization, Scattering, Tumor growth modeling, Reflectance spectroscopy, Visualization

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Proceedings Article | 22 February 2008 Paper

Adaptive spectral window sizes for feature extraction from optical spectra

Chih-Wen Kan, Andy Lee, Nhi Pham, Linda Nieman, Konstantin Sokolov, Mia Markey

Proceedings Volume 6864, 68640I (2008) https://doi.org/10.1117/12.763927

KEYWORDS: Feature extraction, Diagnostics, Adaptive optics, Diffuse reflectance spectroscopy, Visualization, Feature selection, Principal component analysis, Reflectance spectroscopy, Polarization, Receivers

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Proceedings Article | 8 March 2007 Paper

Reducing variability in the output of artificial neural networks through output calibration

Shalini Gupta, Wendy Kan, Tiffany Lin, Mia Markey

Proceedings Volume 6515, 65151E (2007) https://doi.org/10.1117/12.711175

KEYWORDS: Calibration, Artificial neural networks, Probability theory, Receivers, Computer aided diagnosis and therapy, Medical imaging, Data modeling, Computing systems, Image processing, Image enhancement

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