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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 21, 2019
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI DiagnosisTae-Eui Kam, Han Zhang, Dinggang Shen
IEEE Transactions on Medical Imaging|July 23, 2019
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI DetectionTae-Eui Kam, Han Zhang, Zhicheng Jiao, et al.
Human Brain Mapping|August 29, 2017
Multiple functional networks modeling for autism spectrum disorder diagnosisTae-Eui Kam, Heung-Il Suk, Seong-Whan Lee
IEEE Journal of Biomedical and Health Informatics|March 29, 2024
FTMMR: Fusion Transformer for Integrating Multiple Molecular RepresentationsYoung-Han Son, Dong-Hee Shin, Tae-Eui Kam
Frontiers in Human Neuroscience|May 31, 2023
Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classificationDa-Hyun Kim, Dong-Hee Shin, Tae-Eui Kam
Frontiers in Human Neuroscience|June 21, 2023
The effects of layer-wise relevance propagation-based feature selection for EEG classification: a comparative study on multiple datasetsHyeonyeong Nam, Jun-Mo Kim, WooHyeok Choi, et al.
IEEE Journal of Biomedical and Health Informatics|April 29, 2024
Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) DiagnosisChang-Hoon Ji, Dong-Hee Shin, Young-Han Son, et al.
Computers in Biology and Medicine|August 23, 2025
DeepSMR: Decoding high-complex motor imagery via subject-dependent multi-feature refinement in deep convolutional networksSeong-Hyun Yu, Hyeong-Yeong Park, Euijong Lee, et al.
Frontiers in Human Neuroscience|November 6, 2015
Human visual cortical responses to specular and matte motion flowsTae-Eui Kam, Damien J Mannion, Seong-Whan Lee, et al.
Artificial Intelligence in Medicine|February 3, 2026
EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learningWoohyeok Choi, Jun-Mo Kim, Hyeonyeong Nam, et al.
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