Dr. Gabriela Oana Cula Profile

Dr. Gabriela Oana Cula

Senior Scientist at Johnson & Johnson CPPW

SPIE Involvement:

Author

Publications (5)

SPIE Journal Paper | 5 March 2018 Open Access

Hequn Wang, Thomas Shyr, Michael Fevola, Gabriela Oana Cula, Georgios Stamatas

JBO, Vol. 23, Issue 03, 030501, (March 2018) https://doi.org/10.1117/12.10.1117/1.JBO.23.3.030501

KEYWORDS: Optical fibers, Collagen, Skin, Anisotropy, Second-harmonic generation, Multiphoton microscopy, In vivo imaging, Image analysis, Visualization, Algorithm development

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Proceedings Article | 2 March 2010 Paper

Imaging inflammatory acne: lesion detection and tracking

Gabriela Cula, Paulo Bargo, Nikiforos Kollias

Proceedings Volume 7548, 75480I (2010) https://doi.org/10.1117/12.848214

KEYWORDS: Skin, Polarizers, Sensors, Light sources, Image analysis, Inflammation, Optical inspection, Imaging systems, Cameras, Light

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Proceedings Article | 19 February 2009 Paper

Fluorescence spectroscopy for endogenous porphyrins in human facial skin

I. Seo, S. H. Tseng, G. Cula, P. Bargo, N. Kollias

Proceedings Volume 7161, 716103 (2009) https://doi.org/10.1117/12.811913

KEYWORDS: Luminescence, Skin, Fluorescence spectroscopy, Diffuse reflectance spectroscopy, Optical filters, Bacteria, Xenon, Lamps, Light sources, Blood

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Proceedings Article | 19 February 2009 Paper

Assessing facial wrinkles: automatic detection and quantification

Gabriela Cula, Paulo Bargo, Nikiforos Kollias

Proceedings Volume 7161, 71610J (2009) https://doi.org/10.1117/12.811608

KEYWORDS: Image enhancement, Skin, Image filtering, Image processing, Reliability, Algorithm development, In vivo imaging, Image analysis, Detection and tracking algorithms, Digital filtering

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Proceedings Article | 8 June 2001 Paper

Recognition methods for 3D textured surfaces

Oana Cula, Kristin Dana

Proceedings Volume 4299, (2001) https://doi.org/10.1117/12.429492

KEYWORDS: 3D image processing, Databases, Detection and tracking algorithms, Principal component analysis, Object recognition, Image segmentation, Monte Carlo methods, Machine vision, 3D vision, Computer vision technology

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