Wonsik Jung

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Assistant Professor

Konyang University

South Korea

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About

Wonsik Jung is an Assistant Professor at Konyang University, South Korea. His research focuses on advanced methodologies in Alzheimer’s disease prediction and diagnosis, including the use of deep learning and explainability frameworks. His recent articles explore topics such as disentangled representation learning, geometric learning with monotonicity constraints, and multimodal representation in imaging genetics.

Recent Grants

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Best Paper Award

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Best Paper Award

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KU Graduate Student Achievement Award

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NAVER PhD Fellowship 2021

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Articles (9)

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2021

Collaborators (4)

Heung-II Suk

Korea University

SOUTH KOREA

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Kwanseok Oh

Korea University

SOUTH KOREA

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Seungwoo Jeong

Korea University

SOUTH KOREA

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Da-Woon Heo

Korea University

SOUTH KOREA

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Wonsik Jung

Research Interests

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About

Recent Grants

Articles (9)

IdenBAT: Disentangled representation learning for identity-preserved brain age transformation

A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals

Deep Geometric Learning With Monotonicity Constraints for Alzheimer’s Disease Progression

EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning

Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning

Module of Axis-based Nexus Attention for weakly supervised object localization

Deep joint learning of pathological region localization and Alzheimer’s disease diagnosis

A Deep Generative–Discriminative Learning for Multimodal Representation in Imaging Genetics

Deep recurrent model for individualized prediction of Alzheimer’s disease progression

Collaborators (4)

Heung-II Suk

Kwanseok Oh

Seungwoo Jeong

Da-Woon Heo

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