Time-Dependent Common Spatial Patterns optimization for EEG signal classification. - Tae-Eui Kam; Seong-Whan Lee (ACPR, 2011)

Optimizing Time-Dependent Discriminative Spatial Filter for EEG-Based Multi-class Motor Imagery Classification. - Tae-Eui Kam; Seong-Whan Lee (PRNI, 2011)

A P300-Based Hangul Input System with a Hierarchical Stimulus Presentation Paradigm. - Tae-Hoon Lee; Tae-Eui Kam; Sung-Phil Kim (PRNI, 2011)

A hierarchical stimulus presentation paradigm for a P300-based Hangul speller. - Tae-Hoon Lee; Tae-Eui Kam; Sung-Phil Kim (Int. J. Imaging Syst. Technol., 2011)

Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces. - Tae-Eui Kam; Heung-Il Suk; Seong-Whan Lee (BCI, 2013)

Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification. - Tae-Eui Kam; Heung-Il Suk; Seong-Whan Lee (Neurocomputing, 2013)

A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis. - Tae-Eui Kam; Han Zhang 002; Dinggang Shen (MICCAI (3), 2018)

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. - Zhicheng Jiao; Pu Huang; Tae-Eui Kam; Li-Ming Hsu; Ye Wu 001; Han Zhang 002; Dinggang Shen (MICCAI (4), 2019)

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. - Tae-Eui Kam; Xuyun Wen; Bing Jin; Zhicheng Jiao; Li-Ming Hsu; Zhen Zhou; Yujie Liu; Koji Yamashita; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis. - Eunjin Jeon; Eunsong Kang; Jiyeon Lee; Jaein Lee; Tae-Eui Kam; Heung-Il Suk (MICCAI (7), 2020)

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. - Mayssa Soussia; Xuyun Wen; Zhen Zhou; Bing Jin; Tae-Eui Kam; Li-Ming Hsu; Zhengwang Wu; Gang Li 001; Li Wang 026; Islem Rekik; Weili Lin; Dinggang Shen; et al. (MICCAI (7), 2020)

Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. - Tae-Eui Kam; Han Zhang 002; Zhicheng Jiao; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Attention-based spatio-temporal-spectral feature learning for subject-specific EEG classification. - Dong-Hee Ko; Dong-Hee Shin; Tae-Eui Kam (BCI, 2021)

Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification. - Dong-Hee Shin; Dong-Hee Ko; Ji-Wung Han; Tae-Eui Kam (BCI, 2022)

Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation. - Bogyeong Kang; Hyeonyeong Nam; Ji-Wung Han; Keun-Soo Heo; Tae-Eui Kam (BrainLes@MICCAI (2), 2022)

Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. - Keun-Soo Heo; Dong-Hee Shin; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen; Tae-Eui Kam (NeuroImage, 2022)

Feature Selection Based on Layer-Wise Relevance Propagation for EEG-based MI classification. - Hyeonyeong Nam; Jun-Mo Kim 001; Tae-Eui Kam (BCI, 2023)

SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification. - Jun-Mo Kim 001; Soyeon Bak; Hyeonyeong Nam; WooHyeok Choi; Da-Hyun Kim 005; Tae-Eui Kam (SMC, 2023)

Motion Sickness Prediction Based on Dry EEG in Real Driving Environment. - Ji-Seon Bang; Dong-Ok Won; Tae-Eui Kam; Seong-Whan Lee (IEEE Trans. Intell. Transp. Syst., 2023)

Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment. - Dae-Hyeok Lee; Ji-Hoon Jeong; Baek-Woon Yu; Tae-Eui Kam; Seong-Whan Lee (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface. - Jun-Mo Kim 001; Soyeon Bak; Hyeonyeong Nam; WooHyeok Choi; Tae-Eui Kam (BCI, 2024)

Image2SignalNet: Image-based deep learning approach for capturing neuronal signals from calcium imaging. - Eunjung Jo; Dong-Hee Shin; Ji-Hye Oh; Sanghyeon Cho; Hyun Jung Lee; Tae-Eui Kam (BIBM, 2024)

Solving Blind Inverse Problem in Microscopy: Diffusion-based Zero-shot Isotropic Reconstruction. - Hyun Jung Lee; Eunjung Jo; Minjoo Lim; Ji-Hye Oh; Tae-Eui Kam (BIBM, 2024)

A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive Disorder. - Ji-Hye Oh; Eunjung Jo; Tae-Eui Kam (ICPRAI (1), 2024)

Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization. - Dong-Hee Shin; Young-Han Son; Deok-Joong Lee; Ji-Wung Han; Tae-Eui Kam (IJCAI, 2024)

Enhanced Structure Preservation and Multi-View Approach in Unsupervised Domain Adaptation for Optic Disc and Cup Segmentation. - Sanghyeon Cho; Bogyeong Kang; Keun-Soo Heo; Eunjung Jo; Tae-Eui Kam (ISBI, 2024)

Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine. - Jun-Young Oh; In-Gyu Lee; Tae-Eui Kam; Ji-Hoon Jeong (CoRR, 2024)

A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding. - Junmo Kim 001; Keun-Soo Heo; Dong-Hee Shin; Hyeonyeong Nam; Dong-Ok Won; Ji-Hoon Jeong; Tae-Eui Kam (Expert Syst. Appl., 2024)

META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces. - Ji-Wung Han; Soyeon Bak; Jun-Mo Kim 001; WooHyeok Choi; Dong-Hee Shin; Young-Han Son; Tae-Eui Kam (Expert Syst. Appl., 2024)

Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation. - Ji-Hye Oh; Deok-Joong Lee; Chang-Hoon Ji; Dong-Hee Shin; Ji-Wung Han; Young-Han Son; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. - Ji-Hoon Jeong; In-Gyu Lee; Sung-Kyung Kim; Tae-Eui Kam; Seong-Whan Lee; Euijong Lee (IEEE J. Biomed. Health Informatics, 2024)

A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. - Minjoo Lim; Keun-Soo Heo; Jun-Mo Kim 001; Bogyeong Kang; Weili Lin; Han Zhang 002; Dinggang Shen; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis. - Deok-Joong Lee; Dong-Hee Shin; Young-Han Son; Ji-Wung Han; Ji-Hye Oh; Da-Hyun Kim 005; Ji-Hoon Jeong; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. - Dong-Hee Shin; Young-Han Son; Jun-Mo Kim 001; Hee-Jun Ahn; Jun-Ho Seo; Chang-Hoon Ji; Ji-Wung Han; Byung-Jun Lee 001; Dong-Ok Won; Tae-Eui Kam (IEEE Trans. Syst. Man Cybern. Syst., 2024)

FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations. - Young-Han Son; Dong-Hee Shin; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis. - Chang-Hoon Ji; Dong-Hee Shin; Young-Han Son; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

Visual Decoding Using a Learnable Wavelet-Based Spatial-Spectral-Temporal EEG Embedding. - Yebin Choi; Jun-Mo Kim 001; WooHyeok Choi; Chang-Hoon Ji; Ji-Hye Oh; Tae-Eui Kam (BCI, 2025)

Curriculum Learning with Sampling Scheduler for Imbalanced EEG-Based Seizure Detection. - WooHyeok Choi; Jun-Mo Kim 001; Hyeonyeong Nam; Tae-Eui Kam (BCI, 2025)

DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation. - Sang-Jun Park; Keun-Soo Heo; Dong-Hee Shin; Young-Han Son; Ji-Hye Oh; Tae-Eui Kam (CVPR, 2025)

Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning. - Deok-Joong Lee; Dong-Hee Shin; Young-Han Son; Tae-Eui Kam (ICEIC, 2025)

Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects. - Dong-Hee Shin; Young-Han Son; Deok-Joong Lee; Tae-Eui Kam (ICEIC, 2025)

Molecular Optimization with Mamba-Based GFlowNet. - Young-Han Son; Dong-Hee Shin; Deok-Joong Lee; Tae-Eui Kam (ICEIC, 2025)

Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface. - Dong-Hee Shin; Deok-Joong Lee; Ji-Wung Han; Young-Han Son; Tae-Eui Kam (Expert Syst. Appl., 2025)

Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis. - Minjoo Lim; Bogyeong Kang; Tae-Eui Kam (CoRR, 2025)