• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
H. J. Kim, J. H. Lee, 2011, The Effects of Exercise forLower Extremity Using Visual Information on Lower Extremity Muscle Activity, Balance and Gait in Stroke Patients, The Journal of Korean Academy of Orthopedic Manual Physical Therapy, Vol. 17, No. 2, pp. 25-32Google Search
2 
D. W. Oh, S. H. Won, H. J. Park, J. H. Shim, 2017, Novel Approach for Functional Improvement of Patients With Chronic Stroke : Theoretical Background of ‘Neuromuscular Control and Reset’ Concept, Korean Journal of Neuromuscular Rehabilitation, Vol. 7, No. 2, pp. 26-43Google Search
3 
Chitralakshmi K. Balasubramanian, Mark G. Bowden, Richard R. Neptune, Steven A. Kautz, 2007, Relationship between step length asymmetry and walking performance in subjects with chronic hemiparesis, Arch Phys Med Rehabil, Vol. 88, No. 1, pp. 43-9DOI
4 
S. H. Jang, J. H. Lim, O. S. Lee, 2017, Phase-contrast hard X-ray microscopy using synchrotron radiation for the properties of skeletal muscle in mouse hind limbs, Microscopy Research and Technique, Vol. 80, No. 11, pp. 1221-1228DOI
5 
K. Nagawa, M. Suzuki, Y. Yamamoto, K. Inoue, E. Kozawa, T. Mimura, M. Niitsu, 2021, Texture analysis of muscle MRI: machine learning-based classifications in idiopathic inflammatory myopathies, Scientific reports, Vol. 11, No. 1, pp. 1-12Google Search
6 
D. Lehmann Urban, M. Mohamed, A. C. Ludolph, J. Kassubek, A. Rosenbohm, 2021, The value of qualitative muscle MRI in the diagnostic procedures of myopathies: a biopsy-controlled study in 191 patients, Therapeutic Advances in Neurological DisordersDOI
7 
J. H. Ahn, M. Song, H. Kim, T. K. Lee, C. W. Park, Y. E. Park, J. H. Park, 2019, Differential regional infarction, neuronal loss and gliosis in the gerbil cerebral hemisphere following 30 min of unilateral common carotid artery occlusion, Metabolic Brain Disease, Vol. 34, No. 1, pp. 223-233DOI
8 
T. J. Shin, I. M. Hwang, J. H. Park, 2012, Introduction to PLS-II, The Korean Institute of Electrical Engineers, Vol. 61, No. 10, pp. 28-35Google Search
9 
S. A. Kong, S. H. Yoo, 2005, Effects of a 12-week resistance exercise training on gait in ambulatory chronic hemiparetic stroke patients, Korean Journal of Sport Science, Vol. 16, No. 4, pp. 90-104Google Search
10 
S. H. Jang, J. W. Lee, O. S. Lee, 2021, Micro- and Nano-tomograpyh Analysis of Mouse Soleus Muscle Using Radiation, Microscopy Research and Technique, Vol. 84, No. 11, pp. 2685-2693DOI
11 
S. B. Kim, S. H. Jang, J. H. Ahn, S. J. Lee, O. S. Lee, pp 364-372 2022, Analysis of Type I Osteoprosis Animal Models Using Synchrotron Radiation, Microscopy Research and Technique, Vol. 85DOI
12 
O. Ronneberger, P. Fischer, T. Brox, 2015, U-net: Convolutional networks for biomedical image segmentation, In International Conference on Medical image computing and computer- assisted intervention, pp. 234-241DOI
13 
O. Oktay, J. Schlemper, L. L. Folgoc, M. Lee, M. Heinrich, K. Misawa, D. Rueckert, Attention u-net: Learning where to look for the pancreas, 2018.DOI
14 
V. Badrinarayanan, A. Kendall, R. Cipolla, 2017, Segnet: A deep convolutional encoder-decoder architecture for image segmentation, IEEE transactions on pattern analysis and machine intelligence, Vol. 39, No. 12, pp. 2481-2495DOI
15 
H. Zhao, J. Shi, X. Qi, X. Wang, J. Jia, 2017, Pyramid scene parsing network, In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2881-2890Google Search
16 
K. He, X. Zhang, S. Ren, J. Sun, 2016, Deep residual learning for image recognition, In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778Google Search
17 
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, L. C. Chen, 2018, Mobilenetv2: Inverted residuals and linear bottlenecks, In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4510-4520Google Search
18 
K. Simonyan, A. Zisserman, Very deep convolutional networks for large-scale image recognition, 2014.DOI
19 
Huang C, Yao B, Li X, Li S, Zhou P, 2021, Muscle Fiber Diameter and Density Alterations after Stroke Examined by Single-Fiber EMG, Neural PlastDOI
20 
M. Lukács, L. Vécsei, S. Beniczky, 2009, Changes in muscle fiber density following a stroke, Clin Neurophysiol, Vol. 120, No. 8, pp. 1539-1542DOI
21 
Y. H. Kim, T. R. Han, H. Y. Jung, M. H. Chun, J. M. Lee, D. Y. Kim ..., B. W. Yoon, 2009, Clinical Practice Guideline for Stroke Rehabilitation in Korea, Brain & Neurorehabilitation, Vol. 2, No. 1, pp. 1-38DOI