Prof. Theresa L. L. Chin Profile

Prof. Theresa L. L. Chin

at Univ. of California, Irvine

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Author

Publications (4)

Proceedings Article | 13 March 2024 Presentation

Optical properties of in-vivo normal and burned skin in humans and swine measured using spatial frequency domain imaging (SFDI)

Gordon Kennedy, Rebecca Rowland, Thinh Phan, Chris Campbell, Alexis Fox, Earl Steward, Bernard Choi, Theresa Chin, Victor Joe, Anthony Durkin, Robert Christy, David Burmeister

Proceedings Volume PC12833, PC128330E (2024) https://doi.org/10.1117/12.3003470

KEYWORDS: Skin, Optical properties, In vivo imaging, Systems modeling, Tissues, Wound healing, Toxicology, Tissue optics, Pathophysiology, Oxygen

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Proceedings Article | 13 March 2024 Presentation + Paper

Accurate burn wound categorization using an optimized spatial frequency domain imaging device and machine learning

Chris Campbell, Gordon Kennedy, Rebecca Rowland, Alexis Fox, Earl Steward, Theresa Chin, Victor Joe, Anthony Durkin

Proceedings Volume 12816, 1281604 (2024) https://doi.org/10.1117/12.3002918

KEYWORDS: Skin, Machine learning, Tissues, Spatial frequencies, Imaging devices

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SPIE Journal Paper | 15 February 2024 Open Access

Review of machine learning for optical imaging of burn wound severity assessment

Robert H. Wilson, Rebecca Rowland, Gordon T. Kennedy, Chris Campbell, Victor C. Joe, Theresa L. Chin, David M. Burmeister, Robert J. Christy, Anthony J. Durkin

JBO, Vol. 29, Issue 02, 020901, (February 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.2.020901

KEYWORDS: Education and training, Tissues, Image classification, Optical imaging, Deep learning, Machine learning, Skin, Optical coherence tomography, Image segmentation, Multispectral imaging

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Proceedings Article | 17 March 2023 Presentation

Comparative evaluation of conventional color imaging and hyperspectral imaging data as inputs to machine learning algorithms for classifying burn severity

Samagra Pandey, Gordon Kennedy, Rebecca Rowland, Victor Joe, Theresa Chin, Robert Christy, David Burmeister, Robert Wilson, Anthony Durkin

Proceedings Volume PC12352, PC1235207 (2023) https://doi.org/10.1117/12.2664961

KEYWORDS: Machine learning, Color imaging, Hyperspectral imaging, Data modeling, Multispectral imaging, Digital color imaging, Diffuse optical imaging, Biopsy

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