Hyeon Kang

Ph.D. Student

hyeonkang at dgist.ac.kr

Research Interests

• Domain Adaptation
• Meta Learning

Education

• Ph.D. Student in Electrical Engineering and Computer Sciences, DGIST, Sep 2022 – present.

Publication

• Hyeon Kang, Do-Young Kang. “Alzheimer’s Disease Prediction Using Attention Mechanism with Dual-Phase 18F-Florbetaben Images”, Nuclear Medicine and Molecular Imaging, 2022.
• Seung-Yeon Lee, Hyeon Kang, Jong-Hun Jeong, Do-Young Kang. “Performance evaluation in [18F] Florbetaben brain PET images classification using 3D Convolutional Neural Network”, PLOS ONE, 2021.
• Sanghyeob Lee, Jeonyeub Kim, Hyeon Kang, Do-Young Kang, Jangsik Park. “Genetic algorithm based deep learning neural network structure and hyperparameter optimization”, Applied Sciences, 2021.
• Hyeon Kang, Jang-Sik Park, Kook Cho, Do-Young Kang. “Visual and quantitative evaluation of amyloid brain PET image synthesis with generative adversarial network”, Applied Sciences, 2020.
• Kook Cho, Woong-Gon Kim, Hyeon Kang, Gyung-Seung Yang, Hyun-Woo Kim, Ji-Eun Jeong, Hyun-Jin Yoon, Young-Jin Jeong, Do-Young Kang. “Classification of 18F-Florbetaben Amyloid Brain PET Image using PCA-SVM”, Biomedical Science Letter, 2019.
• Ngeema Sara Thapa, Young-Jin Jeong, Hyeon Kang, Go-Eun Choi, Hyun-Jin Yoon, Do-Young Kang. “A Comparative Study of [F-18] Florbetaben (FBB) PET Imaging, Pathology, and Cognition between Normal and Alzheimer Transgenic Mice”, Biomedical Science Letter, 2019.
• Hyeon Kang, Woong-Gon Kim, Gyung-Seung Yang, Hyun-Woo Kim, Ji-Eun Jeong, Hyun-Jin Yoon, Kook Cho, Young-Jin Jeong, Do-Young Kang. “VGG-based BAPL score classification of 18F-florbetaben amyloid brain PET”, Biomedical Science Letter, 2018.