An empirical suggestion for collaborative learning in motor imagery-based BCIs. - Eunsong Kang; Bum-Chae Kim; Heung-Il Suk (BCI, 2016)

Deep recurrent spatio-temporal neural network for motor imagery based BCI. - Wonjun Ko; Jee Seok Yoon; Eunsong Kang; Eunji Jun; Jun-Sik Choi; Heung-Il Suk (BCI, 2018)

Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification. - Eunsong Kang; Heung-Il Suk (MICCAI (3), 2018)

Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis. - Eunji Jun; Eunsong Kang; Jaehun Choi; Heung-Il Suk (NeuroImage, 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)

Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification. - Jaein Lee; Eunsong Kang; Eunjin Jeon; Heung-Il Suk (MICCAI (5), 2021)

Fine-Grained Attention for Weakly Supervised Object Localization. - Junghyo Sohn; Eunjin Jeon; Wonsik Jung; Eunsong Kang; Heung-Il Suk (CoRR, 2021)

A unified framework for personalized regions selection and functional relation modeling for early MCI identification. - Jiyeon Lee; Wonjun Ko; Eunsong Kang; Heung-Il Suk; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis. - Eunsong Kang; Da-Woon Heo; Heung-Il Suk (MICCAI (3), 2022)

Eigendecomposition-Based Spatial-Temporal Attention for Brain Cognitive States Identification. - Jiwon Lee; Eunsong Kang; Junyeong Maeng; Heung-Il Suk (ICASSP, 2024)

Prototype-Guided Contrastive Knowledge Graph Representation Learning for Diagnosis Prediction. - Wooyeol Park; Ahmad Wisnu Mulyadi; Eunsong Kang; Heung-Il Suk (ICPRAI (1), 2024)

BrainWaveNet: Wavelet-Based Transformer for Autism Spectrum Disorder Diagnosis. - Ah-Yeong Jeong; Da-Woon Heo; Eunsong Kang; Heung-Il Suk (MICCAI (2), 2024)

EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning. - Wonsik Jung; Eunjin Jeon; Eunsong Kang; Heung-Il Suk (IEEE Trans. Medical Imaging, 2024)

A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis. - Eunsong Kang; Da-Woon Heo; Jiwon Lee; Heung-Il Suk (IEEE Trans. Medical Imaging, 2024)

Site-Invariant Meta-Modulation Learning for Multisite Autism Spectrum Disorders Diagnosis. - Jaein Lee; Eunsong Kang; Da-Woon Heo; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 2024)

A quantitatively interpretable model for Alzheimer's disease prediction using deep counterfactuals. - Kwanseok Oh; Da-Woon Heo; Ahmad Wisnu Mulyadi; Wonsik Jung; Eunsong Kang; Kun Ho Lee; Heung-Il Suk (NeuroImage, 2025)