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2010 – 2019
- 2019
[j6]Tae Keun Yoo
, Joon Yul Choi, Jeong Gi Seo, Ramasubramanian Bhoopalan, Selvaperumal Sundaramoorthy, Deok Won Kim:
The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment. Medical Biol. Eng. Comput. 57(3): 677-687 (2019)- 2015
- [j5]Sung Woo Kim, Soo Beom Choi, Yong-Jun An, Byung-Hyun Kim, Deok Won Kim, Jong-Gwan Yook:
Heart Rate Detection During Sleep Using a Flexible RF Resonator and Injection-Locked PLL Sensor. IEEE Trans. Biomed. Eng. 62(11): 2568-2575 (2015) - 2014
- [j4]Soo Beom Choi, Won Jae Kim, Tae Keun Yoo, Jee Soo Park, Jai Won Chung, Yong-Ho Lee, Eun Seok Kang, Deok Won Kim:
Screening for Prediabetes Using Machine Learning Models. Comput. Math. Methods Medicine 2014: 618976:1-618976:8 (2014) - [c12]Jai Won Chung, Won Jae Kim, Soo Beom Choi, Jee Soo Park, Deok Won Kim:
Screening for pre-diabetes using support vector machine model. EMBC 2014: 2472-2475 - [c11]Jee Soo Park, Soo Beom Choi, Jai Won Chung, Sung Woo Kim, Deok Won Kim:
Classification of serous ovarian tumors based on microarray data using multicategory support vector machines. EMBC 2014: 3430-3433 - [c10]Soo Beom Choi, Jee Soo Park, Jai Won Chung, Tae Keun Yoo, Deok Won Kim:
Multicategory classification of 11 neuromuscular diseases based on microarray data using support vector machine. EMBC 2014: 3460-3463 - 2013
- [j3]Kyung-Ah Kim, Joon Yul Choi, Tae Keun Yoo, Sung Kean Kim, KilSoo Chung, Deok Won Kim:
Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques. Medical Biol. Eng. Comput. 51(9): 1059-1067 (2013) - [c9]Sung Kean Kim, Tae Keun Yoo, Ein Oh, Deok Won Kim:
Osteoporosis risk prediction using machine learning and conventional methods. EMBC 2013: 188-191 - [c8]Tae Keun Yoo, Sung Kean Kim, Soo Beom Choi, Deog Young Kim, Deok Won Kim:
Interpretation of movement during stair ascent for predicting severity and prognosis of knee osteoarthritis in elderly women using support vector machine. EMBC 2013: 192-196 - [c7]Tae Keun Yoo, Sung Kean Kim, Ein Oh, Deok Won Kim:
Risk Prediction of Femoral Neck Osteoporosis Using Machine Learning and Conventional Methods. IWANN (2) 2013: 181-188 - 2012
- [c6]Min Kyung Kwon, Sung Kean Kim, Jeong Mo Koo, Joon Yul Choi, Deok Won Kim:
EHS subjects do not perceive RF EMF emitted from smart phones better than non-EHS subjects. EMBC 2012: 2190-2193 - [c5]Joon Yul Choi, Sung Kean Kim, Wan Hyung Lee, Tae Keun Yoo, Deok Won Kim:
A survival prediction model of rats in hemorrhagic shock using the random forest classifier. EMBC 2012: 5570-5573 - 2011
- [c4]Kyung Hwan Jang, Tae Keun Yoo, Joon Yul Choi, Ki Chang Nam, Jae Lim Choi, Min Kyung Kwon, Deok Won Kim:
Comparison of survival predictions for rats with hemorrhagic shocks using an artificial neural network and support vector machine. EMBC 2011: 91-94 - [c3]Ki Chang Nam, Jae Lim Choi, Min Kyung Kwon, Kyung Hwan Jang, Deok Won Kim:
Physiological variables and subjective symptoms by 60 Hz magnetic field in EHS and non-EHS persons. EMBC 2011: 1925-1928 - [c2]Min Kyung Kwon, Ki Chang Nam, Da Som Lee, Kyung Hwan Jang, Deok Won Kim:
Effects of RF fields emitted from smart phones on cardio-respiratory parameters: A preliminary provocation study. EMBC 2011: 1961-1964
2000 – 2009
- 2008
- [j2]Sung Woo Kim, Soo Chan Kim, Ki Chang Nam, Eun Seok Kang, Jae Jung Im, Deok Won Kim:
A new method of screening for diabetic neuropathy using laser Doppler and photoplethysmography. Medical Biol. Eng. Comput. 46(1): 61-67 (2008) - 2006
- [c1]Deok Won Kim, Jin Tae Kim, Hyun Ki Hong, Ki Chang Nam, JoongHoon Park:
Statistical Evaluation of The Cleft Lip Nose Deformity Image. EMBC 2006: 3840-3842 - 2005
- [j1]Chul-Gyu Song, Deok Won Kim:
The Application of Bioelectrical Impedance to Monitor Leg Movement. IEICE Trans. Inf. Syst. 88-D(1): 164-168 (2005)
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