Browsing by Titles

Showing results 1 to 8 of 8

Avian embryo monitoring during incubation using multi-channel diffuse speckle contrast analysis

  • 2016-01
  • Yeo, Chaebeom. (2016-01). Avian embryo monitoring during incubation using multi-channel diffuse speckle contrast analysis. Biomedical Optics Express, 7(1), 93–98. doi: 10.1364/BOE.7.000093
  • Optical Society of America
  • View : 1156
  • Download : 37
  • 2017-10
  • Yeo, Chaebeom. (2017-10). Cerebral Blood Flow Monitoring by Diffuse Speckle Contrast Analysis during MCAO Surgery in the Rat. doi: 10.3807/COPP.2017.1.5.433
  • 한국광학회
  • View : 1070
  • Download : 0
  • 2017-09-28
  • 6th International Conference on Biotechnology and Bioengineering, ICBB 2017
  • Asia-Pacific Association of Science, Engineering and Technology
  • View : 3269
  • Download : 0

High-speed tissue metabolism measurement using a combination of diffuse speckle contrast analysis and near-infrared spectroscopy

  • 2024-12
  • Yeo, Chaebeom. (2024-12). High-speed tissue metabolism measurement using a combination of diffuse speckle contrast analysis and near-infrared spectroscopy. International Journal of Optomechatronics, 18(1). doi: 10.1080/15599612.2024.2382141
  • Taylor and Francis
  • View : 114
  • Download : 30

Low frequency oscillations assessed by diffuse speckle contrast analysis for foot angiosome concept

  • 2020-10
  • Yeo, Chaebeom. (2020-10). Low frequency oscillations assessed by diffuse speckle contrast analysis for foot angiosome concept. Scientific Reports, 10(1), 17153. doi: 10.1038/s41598-020-73604-0
  • Nature Publishing Group
  • View : 721
  • Download : 252

Machine-learning-based diabetes classification method using blood flow oscillations and Pearson correlation analysis of feature importance

  • Jung, Hanbeen
  • Yeo, Chaebeom
  • Jang, Eunsil
  • Chang, Yeonhee
  • Song, Cheol
  • 2024-12
  • Jung, Hanbeen. (2024-12). Machine-learning-based diabetes classification method using blood flow oscillations and Pearson correlation analysis of feature importance. Machine Learning: Science and Technology, 5(4). doi: 10.1088/2632-2153/ad861d
  • IOP Publishing
  • View : 148
  • Download : 27
  • Seong, Myeongsu
  • Phillips, Zephaniah
  • Phuong Minh Mai
  • Yeo, Chaebeom
  • Song, Cheol
  • Lee, Kijoon
  • Kim, Jae Gwan
  • 2016-02
  • Journal of Biomedical Optics, v.21, no.2
  • SPIE
  • View : 1009
  • Download : 0
  • Yeo, Chaebeom
  • Park, Hyun Cheol
  • Jang, Sunjin
  • Gehlbach, Peter L.
  • Song, Cheol
  • 2017-01-28
  • SPIE Photonics West 2017
  • SPIE
  • View : 1334
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