KIEE - The Transactions of the Korean Institute of Electrical Engineers

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J. G. Seo, Y. J. Kim, G. G. Kim, Oct 2017, Computer-Aided Diag- nosis and AI, The proceedings of The Korean Institute of Electrical Engineers, Vol. 66, No. 8, pp. 26-32

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X. Li, X. Wu, May 2015, Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Voca- bulary Speech Recognition, International Conf. on Acoustics, Speech and Signal Processing, pp. 4520-4524

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D. K. Kim, May 2020, Generalized Kernel Restricted Boltzmann Machine, The Journal of Korean Institute of Communica- tions and Information Sciences, Vol. 45, No. 5, pp. 783-789

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J. Jiang, J. Zhang, L. Zhang, X. Ran, J. Jiang, Y. Wu, Dec 2018, DBN Structure Design Algorithm for Different Datasets Based on Information Entropy and Reconstruction Error, Entropy, Vol. 20, No. 10, pp. 2-6

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I. J. Goodfellow, J. P. Abadie, M. Mirza, B. Xu, D. W. Farley, S. Ozair, A. Courville, Y. Bengio, Dec 2014, Generative adversarial nets, International Conf. on Neural Information Processing Systems, Vol. 2, No. , pp. 2672-2680

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A. Krizhevsky, I. Sutskever, G. E. Hinston, May 2017, ImageNet Classification with Deep Convolutional Neural Networks, Communications of the Association for Computing Machi- nery, Vol. 60, No. 6, pp. 84-90

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J. S Jung, Jun 2020, Current Status and Future Direction of Artificial Intelligence in Healthcare and Medical Education, Korean Medical Education Review, Vol. 22, No. 2, pp. 99-114

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Z. Han, B. Wei, Y. Zheng, Y. Yin, K. Li, S Li, 2017, Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model, Scientific Reports, Vol. 7, No. Article number: 4172

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X. W. Gao, R. Hui, Z. Tian, Jan 2017, Classification of CT Brain Images based on Deep Learning Networks, Computer Methods and Programs in Biomedicine, Vol. 138, No. 3, pp. 49-56

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D. Forsberg, E. Sjöblom, J. L Sunshine, Aug 2017, Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data, Journal of Digital Imaging, Vol. 30, pp. 406-412

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Y. M Seo, J. K Han, Sep 2018, Deep Learning Algorithm to Identify Cancer Pictures, Journal of Broadcast Engineering, Vol. 23, No. 5, pp. 669-681

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Y. Lee, H. J. Kim, G. B. Kim, N. K Kim, 2014, Deep Learning-based Feature Extraction for Medical Image Analysis, Korean Medical Database, Vol. 20, No. 1, pp. 1-12

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J. B. Seo, H. H. Jang, Y. B. Cho, Jul 2020, Analysis of Image Pre-processing Algorithms for Efficient Deep Learning, Proceedings of the The Korea Institute of Information and Communication Engineering, Vol. 24, No. 1, pp. 161-164

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S. H. Jang, J. Jeong, Feb 2019, Design and Implementation of OpenCV-based Inventory Management System to build Small and Medium Enterprise Smart Factory, The Journal of the Institute of Internet, Broadcasting and Communication, Vol. 19, No. 1, pp. 161-170

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S. Choe, K. Park, C. W. Park, J. Ryu, H. Choi, Sep 2017, Com- binational light emitting diode-high frequency focused ultra- sound treatment for HeLa cell, Computer Assisted Surgery, Vol. 22, No. sup1, pp. 79-85

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K. Cho, J. Seo, G. Heo, S. Choe, May 2019, An Alternative Approach to Detecting Cancer Cells by Multi-Directional Fluorescence Detection System Using Cost-Effective LED and Photodiode, Sensors, Vol. 19, No. 10, pp. 2301

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H. Lee, J. Oh, G. Park, S. Choe, Nov 2020, Design and analysis of an optical monitoring system for cervical cancer cells, The Transactions of the Korean Institute of Electrical Engineers, Vol. 69, No. 11, pp. 1761-1766

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K. Cho, J. Seo, S. Choe, Mar 2019, Design of a customizable fluorescence detection system for fluorescently labeled tumor cells, Journal of the Korea Information and Communication Engineering, Vol. 23, No. 3, pp. 261-266

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K. Cho, S. Choe, Sep 2018, Development of low cost module for proliferation control of cancer cells using LED and its therapeutic effects, Journal of the Korea Institute of Infor- mation and Communication Engineering, Vol. 22, No. 9, pp. 1237-1242

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K. Cho, S. Choe, Aug 2018, Basic study on proliferation control of cancer cells using combined ultrasound and LED thera- peutic module, Journal of the Korea Institute of Infor- mation and Communication Engineering, Vol. 22, No. 8, pp. 1107-1113

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D. An, M. Kim, S. Choe, Dec 2018, Optical and ultrasonic stimulation system to control fibroblast cell proliferation, The Transactions of the Korean Institute of Electrical Engineers, Vol. 69, No. 12, pp. 1977-1982

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Y. Bengio, Nov 2009, Learning deep architectures for AI, Founda- tions and Trends in Machine Learning, Vol. 2, No. 1, pp. 1-127

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K. Simonyan, A. Zisserman, Sep 2014, Very Deep Convolutional Networks for Large-Scale Image Recognition, arXiv

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C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, Z. Wojna, Dec 2016, Rethinking the inception architecture for computer vision, IEEE Conf. on Computer Vision and Pattern Recognition, pp. 2818-2826

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K. He, X. Zhang, S. Ren, J. Sun, Dec 2016, Deep residual learning for image recognition, IEEE Conf. on Computer Vision and Pattern Recognition, pp. 770-778

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M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, L. C. Chen, June 2018, MobileNetV2: Inverted Residuals and Linear Bottle- necks, IEEE/CVF Conf. on Computer Vision and Pattern Recognition, pp. 4510-4520

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W. Rawat, Z. Wang, Sep 2017, Deep convolutional neural net- works for image classification: A comprehensive review, Neural computation, Vol. 29, No. 9, pp. 2352-2449

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S. J. Pan, Q. Yang, Oct 2010, A survey on transfer learning, IEEE Trans. on Knowledge and Data Engineering, Vol. 22, No. 10, pp. 1345-1359

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M. Lin, Q. Chen, S. Yan, Dec 2013, Network in network, arXiv

KIEEThe Transactions of
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The Transactions of the Korean Institute of Electrical Engineers

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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers