Power allocation and user satisfaction-based switching method in cognitive radio MIMO system. - Jaebum Cho; Sungjeen Jang; Wonsik Jung; Jaemoung Kim (ICTC, 2010)

Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression. - Wonsik Jung; Ahmad Wisnu Mulyadi; Heung-Il Suk (MICCAI (4), 2019)

Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease. - Wonsik Jung; Eunji Jun; Heung-Il Suk (CoRR, 2020)

ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. - Wonjun Ko; Wonsik Jung; Eunjin Jeon; Ahmad Wisnu Mulyadi; Heung-Il Suk (ICDM, 2021)

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)

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

Deep recurrent model for individualized prediction of Alzheimer's disease progression. - Wonsik Jung; Eunji Jun; Heung-Il Suk; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Deep Geometrical Learning for Alzheimer's Disease Progression Modeling. - Seungwoo Jeong; Wonsik Jung; Junghyo Sohn; Heung-Il Suk (ICDM, 2022)

XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning. - Ahmad Wisnu Mulyadi; Wonsik Jung; Kwanseok Oh; Jee Seok Yoon; Heung-Il Suk (CoRR, 2022)

A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics. - Wonjun Ko; Wonsik Jung; Eunjin Jeon; Heung-Il Suk (IEEE Trans. Medical Imaging, 2022)

Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning. - Ahmad Wisnu Mulyadi; Wonsik Jung; Kwanseok Oh; Jee Seok Yoon; Kun Ho Lee; Heung-Il Suk (NeuroImage, 2023)

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)

IdenBAT: Disentangled representation learning for identity-preserved brain age transformation. - Junyeong Maeng; Kwanseok Oh; Wonsik Jung; Heung-Il Suk (Artif. Intell. Medicine, 2025)

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)

Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression. - Seungwoo Jeong; Wonsik Jung; Junghyo Sohn; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 2025)