Mr. Youngkyoo Hwang Profile

Youngkyoo Hwang

Researcher at Samsung Advanced Institute of Technology

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Author

Publications (9)

Proceedings Article | 21 March 2014 Paper

Robust vessel detection and segmentation in ultrasound images by a data-driven approach

Ping Guo, Qiang Wang, Xiaotao Wang, Zhihui Hao, Kuanhong Xu, Haibing Ren, Jung Bae Kim, Youngkyoo Hwang

Proceedings Volume 9034, 903435 (2014) https://doi.org/10.1117/12.2042973

KEYWORDS: Image segmentation, Liver, Image filtering, Ultrasonography, Image enhancement, Feature extraction, Binary data, Blood vessels, Computer aided diagnosis and therapy, Image registration

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Proceedings Article | 7 March 2014 Paper

Efficient adaptive thresholding with image masks

Young-Taek Oh, Youngkyoo Hwang, Jung-Bae Kim, Won-Chul Bang

Proceedings Volume 9024, 90240A (2014) https://doi.org/10.1117/12.2036178

KEYWORDS: Medical imaging, Image processing, Image segmentation, Blood vessels, Image processing algorithms and systems, Chemical elements, Ultrasonography, 3D image processing, Electronics, Statistical analysis

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Proceedings Article | 15 March 2013 Paper

Real-time tumor tracking in B-mode images using respiratory signal and deformed liver models

Youngkyoo Hwang, Young-Taek Oh, Jung-Bae Kim, Won-Chul Bang, Heesae Lee, James D.K. Kim, Chang Yeong Kim

Proceedings Volume 8671, 86711Q (2013) https://doi.org/10.1117/12.2007857

KEYWORDS: Tumors, 3D modeling, Liver, Ultrasonography, Radiotherapy, 3D image processing, Cancer, Computed tomography, Liver cancer, Surgery

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Proceedings Article | 14 March 2013 Paper

Patient-specific liver deformation modeling for tumor tracking

Young-Taek Oh, Youngkyoo Hwang, Jung-Bae Kim, Won-Chul Bang, James D. K. Kim, Chang Yeong Kim

Proceedings Volume 8671, 86711N (2013) https://doi.org/10.1117/12.2007884

KEYWORDS: Blood vessels, Liver, Tumors, Image segmentation, Computed tomography, Magnetic resonance imaging, Imaging devices, Detection and tracking algorithms, Image quality, Translucency

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Proceedings Article | 14 March 2013 Paper

3D deformable organ model based liver motion tracking in ultrasound videos

Jung-Bae Kim, Youngkyoo Hwang, Young-Taek Oh, Won-Chul Bang, Heesae Lee, James D. K. Kim, Chang Yeong Kim

Proceedings Volume 8671, 86711P (2013) https://doi.org/10.1117/12.2007865

KEYWORDS: 3D modeling, 3D image processing, Tumors, Liver, Motion models, Image processing, Computed tomography, Magnetic resonance imaging, Data modeling, Veins

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Proceedings Article | 13 March 2013 Paper

Learning based ensemble segmentation of anatomical structures in liver ultrasound image

Xuetao Feng, Xiaolu Shen, Qiang Wang, Jung-Bae Kim, Zhihui Hao, Youngkyoo Hwang, Won-Chul Bang, James D. Kim, Jiyeun Kim

Proceedings Volume 8669, 866947 (2013) https://doi.org/10.1117/12.2006758

KEYWORDS: Image segmentation, Liver, Ultrasonography, Tumors, Image processing algorithms and systems, Detection and tracking algorithms, Sensors, 3D image processing, Medical imaging, Computer aided diagnosis and therapy

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Proceedings Article | 28 February 2012 Paper

Ultrasound image-based respiratory motion tracking

Youngkyoo Hwang, Jung-Bae Kim, Yong Sun Kim, Won-Chul Bang, James D. K. Kim, ChangYeong Kim

Proceedings Volume 8320, 83200N (2012) https://doi.org/10.1117/12.911766

KEYWORDS: Ultrasonography, Motion measurement, Video, Motion estimation, Surgery, Radiotherapy, Skin, Image segmentation, Liver, Kidney

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Proceedings Article | 8 February 2012 Paper

Markerless 3D facial motion capture system

Youngkyoo Hwang, Jung-Bae Kim, Xuetao Feng, Won-Chul Bang, Taehyun Rhee, James D.K. Kim, ChangYeong Kim

Proceedings Volume 8289, 828909 (2012) https://doi.org/10.1117/12.907528

KEYWORDS: 3D modeling, Laser induced plasma spectroscopy, Head, 3D image processing, Motion models, Data modeling, Statistical modeling, Control systems, Visual process modeling, Nose

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Proceedings Article | 19 January 2009 Paper

Object localization using adaptive feature selection

S. Youngkyoo Hwang, Jungbae Kim, Seongdeok Lee

Proceedings Volume 7252, 72520Q (2009) https://doi.org/10.1117/12.805840

KEYWORDS: Machine vision, Computer vision technology, Feature selection, Sensors, Feature extraction, Image processing, Signal detection, Detection and tracking algorithms, Radon, Target detection

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Showing 5 of 9 publications

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