Prof. Dong Hye Ye Profile

Prof. Dong Hye Ye

Assistant Professor at Georgia State Univ

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Publications (10)

Proceedings Article | 6 March 2023 Presentation + Paper

Analysis of deep ultraviolet fluorescence images for intraoperative breast tumor margin assessment

Tongtong Lu, Julie Jorns, Dong Hye Ye, Mollie Patton, Taly Gilat-Schmidt, Tina Yen, Bing Yu

Proceedings Volume 12368, 1236806 (2023) https://doi.org/10.1117/12.2649552

KEYWORDS: Tumors, Image classification, Feature extraction, Breast, Surgery, Image processing, Deep ultraviolet, Machine learning

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Proceedings Article | 18 October 2022 Open Access

Deep learning-based prior toward normalized metal artifact reduction in computed tomography

Jeonghyeon Nam, Dong Hye Ye, Okkyun Lee

Proceedings Volume 12304, 1230434 (2022) https://doi.org/10.1117/12.2646436

KEYWORDS: Computed tomography, X-ray computed tomography, Image processing, X-rays, X-ray detectors

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Proceedings Article | 18 October 2022 Open Access

Iodine-enhanced liver vessel segmentation in photon counting detector-based computed tomography using deep learning

Sumin Baek, Okkyun Lee, Donghye Ye

Proceedings Volume 12304, 1230432 (2022) https://doi.org/10.1117/12.2646541

KEYWORDS: Liver, Image segmentation, Iodine, X-ray computed tomography, Computed tomography, Photon counting, 3D image processing, Image processing, Machine learning, Volume segmentation

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Proceedings Article | 15 February 2021 Presentation + Paper

Enhancing reproductive organ segmentation in pediatric CT via adversarial learning

Chi Nok Enoch Kan, Taly Gilat-Schmidt, Dong Hye Ye

Proceedings Volume 11596, 1159612 (2021) https://doi.org/10.1117/12.2582127

KEYWORDS: Image segmentation, Computed tomography, Uterus, Prostate, Ionizing radiation

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Breast cancer magnification-independent multi-class histopathology classification using dual-step model

Nathan Lang, Devansh Saxena, Tina Yen, Julie Jorns, Bing Yu, Dong Hye Ye

Proceedings Volume 11603, 1160311 (2021) https://doi.org/10.1117/12.2582299

KEYWORDS: Tumor growth modeling, Solid modeling, Breast cancer, Tumors, Neural networks, Binary data, Image classification, Data modeling, Computer simulations

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Improving presentation consistency of radiographic images using deep learning

Najib Akram Maheen Aboobacker, German Vera Gonzalez, Fengchao Zhang, Justin Wanek, Ping Xue, Gireesha Rao, Dong Hye Ye

Proceedings Volume 11595, 115952G (2021) https://doi.org/10.1117/12.2582026

KEYWORDS: X-rays, X-ray imaging, Artificial intelligence, Evolutionary algorithms, Radiography, Neural networks, Abdomen

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SPIE Journal Paper | 25 November 2020 Open Access

Rapid assessment of breast tumor margins using deep ultraviolet fluorescence scanning microscopy

Tongtong Lu, Julie Jorns, Mollie Patton, Renee Fisher, Amanda Emmrich, Todd Doehring, Taly Gilat Schmidt, Dong Hye Ye, Tina Yen, Bing Yu

JBO, Vol. 25, Issue 12, 126501, (November 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.12.126501

KEYWORDS: Tissues, Breast, Luminescence, Tumors, Deep ultraviolet, Natural surfaces, Cancer, Visualization, Surgery, Tissue optics

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Proceedings Article | 21 February 2020 Paper

Deep UV fluorescence scanning microscopy for breast tumor margin detection

Tongtong Lu, Julie Jorns, Mollie Patton, Renee Fisher, Amanda Emmrich, Todd Doehring, Taly Gilat-Schmidt, Dong Hye Ye, Tina Yen, Bing Yu

Proceedings Volume 11229, 1122905 (2020) https://doi.org/10.1117/12.2546610

KEYWORDS: Luminescence, Tissues, Tumors, Breast, Deep ultraviolet, Surgery, Statistical analysis, Microscopy, Cancer, Microscopes

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Proceedings Article | 9 March 2017 Paper

ROI reconstruction for model-based iterative reconstruction (MBIR) via a coupled dictionary learning

Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken Sauer, Charles Bouman

Proceedings Volume 10132, 101322R (2017) https://doi.org/10.1117/12.2248087

KEYWORDS: Image enhancement, Image processing, Resolution enhancement technologies, Medical imaging, Super resolution, Reconstruction algorithms, Computed tomography, Image quality, Image resolution, Diagnostics, Image restoration

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Proceedings Article | 11 March 2008 Paper

Fast multiscale vessel enhancement filtering

Dong Hye Ye, Dongjin Kwon, Il Dong Yun, Sang Uk Lee

Proceedings Volume 6914, 691423 (2008) https://doi.org/10.1117/12.770038

KEYWORDS: 3D image processing, Image filtering, Convolution, 3D image enhancement, Image segmentation, Image enhancement, Gaussian filters, Medical imaging, Visualization, Liver

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Showing 5 of 10 publications

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