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Deep Learning-Based Multilevel Classification of Alzheimer’s Disease Using Non-invasive Functional Near-Infrared SpectroscopyThi Kieu Khanh Ho, Jeonghwan Gwak, Jae Gwan Kim et al.|Frontiers in Aging Neuroscience|2022Cited by 37
DeepADNet: A CNN‐LSTM model for the multi‐class classification of Alzheimer’s disease using multichannel EEGThi Kieu Khanh Ho, Jeonghwan Gwak, Younghoon Jeon et al.|Alzheimer s & Dementia|2021Cited by 18
Smart Insole-Based Classification of Alzheimer’s Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric LearningYounghoon Jeon, Jeonghwan Gwak, Jaeyong Kang et al.|IEEE Transactions on Consumer Electronics|2024Cited by 13
Improving the multi‐class classification of Alzheimer’s disease with machine learning‐based techniques: An EEG‐fNIRS hybridization studyThi Kieu Khanh Ho, Jeonghwan Gwak, Jong‐In Song et al.|Alzheimer s & Dementia|2021Cited by 6