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Dongyoun Kim
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2020 – today
- 2023
- [c6]Chulwoo Pack, Dongyoun Kim:
Weakly-supervised Semantic Segmentation on Historical Document Images. RACS 2023: 41:1-41:6
2010 – 2019
- 2019
- [c5]Dongyoun Kim, Sangwon Shin, Jinwoo Park, Sung Shin:
Development of a semantic scene conversion model for image-based localization at night. RACS 2019: 107-112 - 2018
- [c4]Dongyoun Kim, Jiyoung Lee, Joon Shik Yoon, Kwang Jae Lee, Kwanghee Won:
Development of automated 3D knee bone segmentation with inhomogeneity correction for deformable approach in magnetic resonance imaging. RACS 2018: 285-290 - [c3]Ji Young Lee, Dongyoun Kim, Jin Yeong Mun, Seok Kang, Seong-Ho Son, Sung Shin:
Texture weighted fuzzy C-means algorithm for 3D brain MRI segmentation. RACS 2018: 291-295 - 2017
- [c2]Sae-Han Suh, Dongyoun Kim, Ji-Eun Jhang, Emmanuel Byamukama, Gary Hatfield, Sung Y. Shin:
Identification of the White-Mold affected Soybean fields by using Multispectral Imageries, Spatial Autocorrelation and Support Vector Machine. RACS 2017: 104-109 - 2014
- [j3]Soondong Kwon, Dongyoun Kim, Bong-Soo Han, Kiwoon Kwon:
Regularization of DT-MRI Using 3D Median Filtering Methods. J. Appl. Math. 2014: 285367:1-285367:11 (2014)
2000 – 2009
- 2004
- [j2]Sungdae Cho, Dongyoun Kim, William A. Pearlman:
Lossless Compression of Volumetric Medical Images with Improved Three-Dimensional SPIHT Algorithm. J. Digit. Imaging 17(1): 57-63 (2004) - 2000
- [j1]Zhitao Lu, Dongyoun Kim, William A. Pearlman:
Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm. IEEE Trans. Biomed. Eng. 47(7): 849-856 (2000)
1990 – 1999
- 1990
- [c1]Dongyoun Kim, William A. Pearlman:
Gain-adaptive trained transform trellis code for images. VCIP 1990
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