Dr. Elizabeth M. Genega Profile

Dr. Elizabeth M. Genega

at Emory Univ Hospital

SPIE Involvement:

Author

Publications (6)

SPIE Journal Paper | 22 December 2023 Open Access

Restoration of metabolic functional metrics from label-free, two-photon human tissue images using multiscale deep-learning-based denoising algorithms

Nilay Vora, Christopher M. Polleys, Filippos Sakellariou, Georgios Georgalis, Hong-Thao Thieu, Elizabeth Genega, Narges Jahanseir, Abani Patra, Eric Miller, Irene Georgakoudi

JBO, Vol. 28, Issue 12, 126006, (December 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.12.126006

KEYWORDS: Education and training, Data modeling, Denoising, Tissues, Image quality, Wavelets, Nicotinamide adenine dinucleotide, Mitochondria, Image quality standards, Biopsy

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Proceedings Article | 17 March 2023 Presentation

Label free multi-photon metabolic imaging: from mitochondria to humans

Irene Georgakoudi, Christopher Polleys, Yang Zhang, Volha Liaudanskaya, Adriana Sanchez, Einstein Gnanatheepam, Maria Savvidou, David Kaplan, Hong-Thao Thieu, Elizabeth Genega, Thomas Schenlldorfer, Jessica Shiu, Anand Ganesan, Mihaela Balu

Proceedings Volume PC12363, PC123630G (2023) https://doi.org/10.1117/12.2658901

KEYWORDS: Tissues, Traumatic brain injury, Statistical modeling, Nondestructive evaluation, Luminescence, In vivo imaging

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Proceedings Article | 16 March 2023 Presentation + Paper

Denoising of depth-resolved, label-free, two-photon images using deep-learning-based algorithms

Nilay Vora, Christopher Polleys, Filippos Sakellariou, Hong-Thao Thieu, Elizabeth Genega, Irene Georgakoudi

Proceedings Volume 12391, 1239107 (2023) https://doi.org/10.1117/12.2650856

KEYWORDS: Denoising, Tissues, Image quality, In vivo imaging, Image restoration, Tissue optics, Image quality standards, Machine learning, Deep learning, Metabolism, Two photon excitation microscopy, Image analysis

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Proceedings Article | 15 March 2023 Presentation + Paper

Two-photon imaging of endogenous biomolecules in freshly excised human cervical tissue biopsies captures pre-cancer induced changes in tissue metabolism and morphology

Christopher Polleys, Hong-Thao Thieu, Elizabeth Genega, Narges Jahanseir, Irene Georgakoudi

Proceedings Volume 12363, 1236302 (2023) https://doi.org/10.1117/12.2650926

KEYWORDS: Tissues, Second harmonic generation, Collagen, Fluorescence lifetime imaging, Biopsy, Flavoproteins, Mitochondria, Autofluorescence, Two photon imaging, Cervix, Nicotinamide adenine dinucleotide, Metabolism

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Proceedings Article | 27 May 2022 Poster + Paper

Machine learning based classification system using depth-dependent variation encoding for classifying cervical two-photon excited fluorescence image stacks

Foram Sanghavi, Karen Panetta, Sos Agaian, Christopher Polleys, Hong-Thao Thieu, Elizabeth Genega, Irene Georgakoudi

Proceedings Volume 12100, 121000T (2022) https://doi.org/10.1117/12.2623305

KEYWORDS: Image enhancement, Denoising, Tissues, Computer programming, Feature extraction, Luminescence, Image classification, Machine learning, Classification systems, Two photon excitation microscopy, Cervical cancer

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Proceedings Article | 5 March 2021 Presentation

Deep-learning-based image restoration of depth-resolved, label-free, two-photon images for the quantitative morphological and functional characterization of human cervical tissues

Christopher Polleys, Panagiotis Lymperopoulos, Hong-Thao Thieu, Elizabeth Genega, Liping Liu, Irene Georgakoudi

Proceedings Volume 11647, 116470Z (2021) https://doi.org/10.1117/12.2578650

KEYWORDS: Image restoration, Tissues, Signal to noise ratio, In vivo imaging, Biopsy, Two photon imaging, Microscopy, Luminescence, Imaging systems, Image quality

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Showing 5 of 6 publications

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