Wonsik Jung

19 papers A* 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A quantitatively interpretable model for Alzheimer's disease prediction using deep counterfactuals.
NeuroImage
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk
2025 J jnl
Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression.
IEEE Trans. Neural Networks Learn. Syst.
Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
2025 J jnl
IdenBAT: Disentangled representation learning for identity-preserved brain age transformation.
Artif. Intell. Medicine
Junyeong Maeng, Kwanseok Oh, Wonsik Jung, Heung-Il Suk
2024 J jnl
EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning.
IEEE Trans. Medical Imaging
Wonsik Jung, Eunjin Jeon, Eunsong Kang, Heung-Il Suk
2024 J jnl
IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation.
CoRR
Junyeong Maeng, Kwanseok Oh, Wonsik Jung, Heung-Il Suk
2023 J jnl
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals.
CoRR
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk
2023 J jnl
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression.
CoRR
Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
2023 J jnl
EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning.
CoRR
Wonsik Jung, Eunjin Jeon, Eunsong Kang, Heung-Il Suk
2023 J jnl
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning.
NeuroImage
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, Heung-Il Suk
2022 J jnl
A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics.
IEEE Trans. Medical Imaging
Wonjun Ko, Wonsik Jung, Eunjin Jeon, Heung-Il Suk
2022 A* conf
Deep Geometrical Learning for Alzheimer's Disease Progression Modeling.
ICDM
Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
2022 J jnl
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning.
CoRR
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2021 J jnl
Deep recurrent model for individualized prediction of Alzheimer's disease progression.
NeuroImage
Wonsik Jung, Eunji Jun, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
2021 A* conf
ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding.
ICDM
Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk
2021 J jnl
Fine-Grained Attention for Weakly Supervised Object Localization.
CoRR
Junghyo Sohn, Eunjin Jeon, Wonsik Jung, Eunsong Kang, Heung-Il Suk
2021 — conf
Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision.
MICCAI (2)
Wonsik Jung, Da-Woon Heo, Eunjin Jeon, Jaein Lee, Heung-Il Suk
2020 J jnl
Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease.
CoRR
Wonsik Jung, Eunji Jun, Heung-Il Suk
2019 — conf
Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression.
MICCAI (4)
Wonsik Jung, Ahmad Wisnu Mulyadi, Heung-Il Suk
2010 — conf
Power allocation and user satisfaction-based switching method in cognitive radio MIMO system.
ICTC
Jaebum Cho, Sungjeen Jang, Wonsik Jung, Jaemoung Kim