Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision. - Wonsik Jung; Da-Woon Heo; Eunjin Jeon; Jaein Lee; Heung-Il Suk (MICCAI (2), 2021)

Medical Transformer: Universal Brain Encoder for 3D MRI Analysis. - Eunji Jun; Seungwoo Jeong; Da-Woon Heo; Heung-Il Suk (CoRR, 2021)

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

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

Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging. - Kwanseok Oh; Jieun Lee; Da-Woon Heo; Dinggang Shen; Heung-Il Suk (CoRR, 2024)

FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation. - Kwanseok Oh; Eunjin Jeon; Da-Woon Heo; Yooseung Shin; Heung-Il Suk (CoRR, 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)

Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis. - Eunji Jun; Seungwoo Jeong; Da-Woon Heo; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 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)